diff --git a/.github/workflows/pylint.yml b/.github/workflows/pylint.yml index b8245ddda..ca1a25b72 100644 --- a/.github/workflows/pylint.yml +++ b/.github/workflows/pylint.yml @@ -17,6 +17,9 @@ jobs: python -m pip install --upgrade pip pip install nomad-lab==1.0.0 --extra-index-url https://gitlab.mpcdf.mpg.de/api/v4/projects/2187/packages/pypi/simple if [ -f requirements.txt ]; then pip install -r requirements.txt; fi + - name: Install package + run: | + python -m pip install . - name: pycodestyle run: | python -m pycodestyle --ignore=E501,E701,E731 nexusparser tests diff --git a/.vscode/settings.json b/.vscode/settings.json index f345794a4..8e22afacb 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,4 +1,5 @@ { + "python.pythonPath": "/home/andrea/NOMAD/.pyenv/bin/python", "editor.rulers": [90], "editor.renderWhitespace": "all", "editor.tabSize": 4, @@ -7,22 +8,22 @@ }, "files.trimTrailingWhitespace": true, "python.linting.pylintArgs": [ - "--load-plugins=pylint_mongoengine", + "--load-plugins=pylint_mongoengine" ], "python.linting.pycodestylePath": "pycodestyle", "python.linting.pycodestyleEnabled": true, "python.linting.pycodestyleArgs": ["--ignore=E501,E701,E731"], - "python.linting.mypyEnabled": false, + "python.linting.mypyEnabled": true, "python.linting.mypyArgs": [ "--ignore-missing-imports", "--follow-imports=silent", "--no-strict-optional" ], - "python.linting.pylintEnabled": false, + "python.linting.pylintEnabled": true, "python.linting.enabled": true, "python.testing.pytestArgs": [ "tests" ], "python.testing.unittestEnabled": false, "python.testing.pytestEnabled": true -} \ No newline at end of file +} diff --git a/README.md b/README.md index 6b9f3e445..25f906366 100644 --- a/README.md +++ b/README.md @@ -7,16 +7,27 @@ the required nomad-lab pypi package requires many dependencies with specific ver that might conflict with other libraries that you have installed. This was tested with Python 3.7. +If you don't have Python 3.7 installed on your computer, follow these commands: ``` +sudo add-apt-repository ppa:deadsnakes/ppa +sudo apt install python3.7 python3-dev libpython3.7-dev python-numpy + +``` + +You can now install your virtual environment with python3.7 interpreter + +``` +mkdir +cd pip install virtualenv -virtualenv -p `which python3` .pyenv +virtualenv --python=python3.7 .pyenv source .pyenv/bin/activate ``` Simply install our pypi package with pip: ``` pip install --upgrade pip -pip install nomad-lab +pip install nomad-lab==1.0.0 --extra-index-url https://gitlab.mpcdf.mpg.de/api/v4/projects/2187/packages/pypi/simple ``` Clone this project (or fork and then clone the fork). Go into the cloned directly and @@ -24,7 +35,9 @@ directly run the parser from there: ``` git clone https://github.com/nomad-coe/nomad-parser-nexus.git parser-nexus cd parser-nexus -python -m nexusparser tests/data/nexus.out +git submodule sync --recursive +git submodule update --init --recursive + ``` There are also a basic test framework written in [pytest](https://docs.pytest.org/en/stable/). @@ -55,14 +68,14 @@ This directory have several modules/files as following: ### **Tools** This module contains several tools that are necessary to read user-specific experimental data and parse them into NOMAD. -**1. Read_nexus** +**1. Read nexus** First go to the nexus tools directory: ``` cd nexusparser/tools ``` -The module `read_nexus.py` reads HDF5 data file (i.e it is a user-specific data file, which contains numerical and metadata about the experiment. And it is formatted in NEXUS style.) +The module `nexus.py` reads HDF5 data file (i.e it is a user-specific data file, which contains numerical and metadata about the experiment. And it is formatted in NEXUS style.) *The environmental variable called "NEXUS_DEF_PATH" should be set to the directory, which contains application definitions as XML files. If this environmental variable is not defined, then code will first clone a directory from GitHub, which contains application definitions.* @@ -71,13 +84,13 @@ To set environmental variable, you can do: export 'NEXUS_DEF_PATH'= ``` -***Testing read_nexus*** +***Testing nexus*** -Following example dataset can be used to test `read_nexus.py` module `tests/data/nexus_test_data/201805_WSe2_arpes.nxs`. This is angular resolved photoelectron spectroscopy (ARPES) dataset and it is formatted according to the [NXarpes application definition of NEXUS](https://manual.nexusformat.org/classes/applications/NXarpes.html#nxarpes). Run the following command to test the `read_nexus.py` using example ARPES dataset: +Following example dataset can be used to test `nexus.py` module `tests/data/nexus_test_data/201805_WSe2_arpes.nxs`. This is angular resolved photoelectron spectroscopy (ARPES) dataset and it is formatted according to the [NXarpes application definition of NEXUS](https://manual.nexusformat.org/classes/applications/NXarpes.html#nxarpes). Run the following command to test the `nexus.py` using example ARPES dataset: ``` python test_parser.py ``` -*You should get "Testing of read_nexus.py is SUCCESSFUL." message, if everything goes as expected!* +*You should get "Testing of nexus.py is SUCCESSFUL." message, if everything goes as expected!* diff --git a/nexusparser/__init__.py b/nexusparser/__init__.py index 416a61d52..c3740a8fb 100644 --- a/nexusparser/__init__.py +++ b/nexusparser/__init__.py @@ -1,3 +1,6 @@ +"""init file + +""" # # Copyright The NOMAD Authors. # @@ -15,5 +18,4 @@ # See the License for the specific language governing permissions and # limitations under the License. # - from .parser import NexusParser diff --git a/nexusparser/__main__.py b/nexusparser/__main__.py index f380839cf..34ad47153 100644 --- a/nexusparser/__main__.py +++ b/nexusparser/__main__.py @@ -1,3 +1,6 @@ +"""main file of tools module + +""" # # Copyright The NOMAD Authors. # @@ -27,6 +30,6 @@ if __name__ == "__main__": configure_logging(console_log_level=logging.DEBUG) - archive = EntryArchive() - NexusParser().parse(sys.argv[1], archive, logging) - json.dump(archive.m_to_dict(), sys.stdout, indent=2) + ARCHIVE = EntryArchive() + NexusParser().parse(sys.argv[1], ARCHIVE, logging) + json.dump(ARCHIVE.m_to_dict(), sys.stdout, indent=2) diff --git a/nexusparser/definitions b/nexusparser/definitions index 40bd56755..2798f71ea 160000 --- a/nexusparser/definitions +++ b/nexusparser/definitions @@ -1 +1 @@ -Subproject commit 40bd56755e8e6d028e6a3b6be6489c44df81b240 +Subproject commit 2798f71ea3099c3c20a2f7dc11b05074cc8fa8e3 diff --git a/nexusparser/metainfo/__init__.py b/nexusparser/metainfo/__init__.py index a683ecdfd..83ea3639f 100644 --- a/nexusparser/metainfo/__init__.py +++ b/nexusparser/metainfo/__init__.py @@ -1,3 +1,6 @@ +"""init file + +""" # # Copyright The NOMAD Authors. # @@ -16,8 +19,3 @@ # See the License for the specific language governing permissions and # limitations under the License. # -from nomad.metainfo import Environment - -from . import nexus - -m_env = Environment() diff --git a/nexusparser/metainfo/generate.py b/nexusparser/metainfo/generate.py deleted file mode 100644 index cb129edf3..000000000 --- a/nexusparser/metainfo/generate.py +++ /dev/null @@ -1,268 +0,0 @@ -# -# Copyright The NOMAD Authors. -# -# This file is part of NOMAD. See https://nomad-lab.eu for further info. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -''' -This module contains functionality to generate metainfo source-code from metainfo -definitions. -''' - -from re import sub -import numpy as np - -from nomad import utils -from nomad.metainfo import Definition, Package, Reference, MEnum - -logger = utils.get_logger(__name__) - - -def generate_metainfo_code(metainfo_pkg: Package, python_package_path: str): - ''' - Generates python code with metainfo definitions from the given :class:`Package`. - - Arguments: - metainfo_pkg: The metainfo package. - python_package_path: - The file path for the python module file that should be generated. - ''' - from jinja2 import Environment as JinjaEnvironment, PackageLoader, select_autoescape - import textwrap - - def format_description(description, indent=0, width=90): - paragraphs = [paragraph.strip() for paragraph in description.split('\n\n')] - - def format_paragraph(paragraph, first): - lines = textwrap.wrap(text=paragraph, width=width - indent * 4, break_on_hyphens=False, break_long_words=False) - lines = [line.replace('\\', '\\\\') for line in lines] - return textwrap.indent( - '\n'.join(lines), ' ' * 4 * indent, lambda x: not (first and x.startswith(lines[0]))) - - return '\n\n'.join([ - format_paragraph(p, i == 0) - for i, p in enumerate(paragraphs) if p != '']) - - def format_type(pkg, mi_type): - if isinstance(mi_type, np.dtype): - if mi_type == np.dtype('U'): - return 'np.dtype(\'U\')' - - return 'np.dtype(np.%s)' % mi_type - - if mi_type in [int, float, str, bool]: - return mi_type.__name__ - - if isinstance(mi_type, Reference): - if pkg == mi_type.target_section_def.m_parent: - return "Reference(SectionProxy('%s'))" % mi_type.target_section_def.name - - else: - python_module = mi_type.target_section_def.m_parent.a_legacy.python_module - return '%s.%s' % (python_module.split('.')[-1], mi_type.target_section_def.name) - - if isinstance(mi_type, MEnum): - return 'MEnum(%s)' % ', '.join(["'%s'" % item for item in mi_type]) - - return str(mi_type) - - def format_unit(unit): - return "'%s'" % unit - - def format_default(default): - if isinstance(default, bool): - return "%s" % str(default) - return "'%s'" % str(default) - - def format_definition_refs(pkg, definitions): - def format_definition_ref(definition: Definition): - return definition.name - if pkg == definition.m_parent: - return definition.name - else: - python_module = definition.m_parent.a_legacy.python_module - return '%s.%s' % (python_module.split('.')[-1], definition.name) - - return ', '.join([format_definition_ref(definition) for definition in definitions]) - - def format_package_import(pkg): - # python_module = pkg.a_legacy.python_module - # modules = python_module.split('.') - # return 'from %s import %s' % ('.'.join(modules[:-1]), modules[-1]) - return '' - - def format_aliases(pkg): - result = '' - for definition in pkg.category_definitions + pkg.section_definitions: - for alias in definition.aliases: - result += '%s = %s\n' % (alias, definition.name) - - if result != '': - return '\n\n\n%s' % result - - def sub_section_path(sub_section, level): - if level == 0: - return sub_section.name - return sub_section_path(sub_section.m_parent.nexus_parent, level - 1) + '.' + sub_section.name - - def format_quantity(pkg, quantity, indent=0, level=0): - result = '' - indent_str = indent * 4 * ' ' - inner_indent_str = (indent + 1) * 4 * ' ' - inner2_indent_str = (indent + 2) * 4 * ' ' - result += inner_indent_str + quantity.name + '= Quantity(\n' - result += inner2_indent_str + 'type=' + format_type(pkg, quantity.type) + ',\n' - result += inner2_indent_str + 'shape=' + str(quantity.shape) + ',\n' - if quantity.unit is not None: - result += inner2_indent_str + 'unit=' + format_unit(quantity.unit) + ',\n' - if quantity.description is not None: - result += inner2_indent_str + 'description=' + "'''" + '\n' + format_description(quantity.description, indent=indent + 3) + "\n" + inner2_indent_str + "''',\n" - if quantity.default is not None: - result += inner2_indent_str + 'default=' + format_default(quantity.default) + ',\n' - if len(quantity.categories) > 0: - result += inner2_indent_str + 'categories=[' + format_definition_refs(pkg, quantity.categories) + '],\n' - # if quantity.a_search == 'defined': - # result += 'a_search=Search()+\n' - result += inner_indent_str + ')\n' - return result - - def format_section(pkg, section, indent=0, level=0): - result = '' - indent_str = indent * 4 * ' ' - inner_indent_str = (indent + 1) * 4 * ' ' - inner2_indent_str = (indent + 2) * 4 * ' ' - result += indent_str + "class " + section.name + "(" + (format_definition_refs(pkg, section.base_sections) if section.extends_base_section else "MSection") + "):\n" - if section.description is not None: - result += inner_indent_str + "'''\n" - result += format_description(section.description, indent=1) + "\n" - result += inner_indent_str + "'''\n" - else: - doc = section.all_quantities["nxp_documentation"] - if doc is not None and doc.description is not None: - result += inner_indent_str + "'''\n" - result += format_description(doc.description, indent=2) + "\n" - result += inner_indent_str + "'''\n" - result += inner_indent_str + "m_def = Section(\n" - # if section.aliases | length > 0 %} - # aliases=['{{ section.aliases[0] }}'], - result += inner2_indent_str + "validate=False" - if section.extends_base_section: - result += ",\n" - result += inner2_indent_str + "extends_base_section=True,\n" - # add own nexus properties - for quantity in section.quantities: - if quantity.name.startswith("nxp_"): - if quantity.name == "nxp_deprecated": - result += inner2_indent_str + "deprecated=''' DEPRECATED:\n" - result += inner2_indent_str + quantity.default + "\n" - result += inner2_indent_str + "''',\n" - else: - if quantity.default is not None: - result += inner2_indent_str + quantity.name + "='" + str(quantity.default) + "',\n" - result += inner2_indent_str + ")\n" - # inherited case: - # result += inner_indent_str + "nxp_base = SubSection(sub_section="+sub_section.sub_section.name+".m_def,repeats=True)\n" - - # real Quantities (not nexus properties) - for quantity in section.quantities: - if not quantity.name.startswith("nxp_"): - result += format_quantity(pkg, quantity, indent, level) - - # SubSections (groups/fields/attributes) - for sub_section in section.sub_sections: - result += format_sub_section(pkg, sub_section, indent + 1, level + 1) - - return result - - def format_sub_section(pkg, sub_section, indent=0, level=0): - result = '' - indent_str = indent * 4 * ' ' - inner_indent_str = (indent + 1) * 4 * ' ' - inner2_indent_str = (indent + 2) * 4 * ' ' - # class - result += indent_str + "class " + sub_section.name + "(NXobject):\n" # "+sub_section.sub_section.name+"):\n" #NXobject):\n" - doc = sub_section.sub_section.all_quantities["nxp_documentation"] if "nxp_documentation" in sub_section.sub_section.all_quantities.keys() else None - if doc is not None and doc.description is not None: - result += inner_indent_str + "'''\n" - result += format_description(doc.description, indent=indent + 2) + "\n" - result += inner_indent_str + "'''\n" - # section definition - result += inner_indent_str + "m_def = Section(validate=False,\n" - result += inner2_indent_str + ")\n" # extends_base_section=True)\n" - # inherited section - result += inner_indent_str + "nxp_base = SubSection(sub_section=" + sub_section.sub_section.name + ".m_def,repeats=True)\n" - # real (non nexus property /nxp_/) quantities - for quantity in sub_section.sub_section.quantities: - if not quantity.name.startswith("nxp_"): - result += format_quantity(pkg, quantity, indent, level) - # additional sub_sections (nexus groups/fields/attributes) - for sub_sec in sub_section.sub_section.sub_sections: - result += format_sub_section(pkg, sub_sec, indent=indent + 1, level=level + 1) - pass - # if sub_section.sub_sections is not None: - # sub_section = sub_section.sub_sections - # format_sub_section(pkg, sub_section, indent=1) - # the actual sub_section (either a group/field/attribute) - result += indent_str + sub_section.name + ' = ' + 'SubSection(sub_section=' + sub_section.name + '.m_def,repeats=True,\n' - # also add its own nexus properties - for quantity in sub_section.sub_section.quantities: - if quantity.name.startswith("nxp_"): - if quantity.name == "nxp_enumeration": - if quantity.default is not None: - result += inner_indent_str + "enumeration=" + quantity.default + ",\n" - elif quantity.name == "nxp_deprecated": - result += inner_indent_str + "deprecated=''' DEPRECATED:\n" - result += inner_indent_str + quantity.default + "\n" - result += inner_indent_str + "''',\n" - else: - if quantity.default is not None: - result += inner_indent_str + quantity.name + "='" + str(quantity.default) + "',\n" - result += inner_indent_str + ")\n" # extends_base_section=True)\n" - - return result - - def order_categories(categories): - return sorted(categories, key=lambda c: len(c.categories)) - - import sys - sys.path.insert(0, '..') - sys.path.insert(0, '../..') - sys.path.insert(0, '.') - env = JinjaEnvironment( - loader=PackageLoader('metainfo', 'templates'), - autoescape=select_autoescape(['python'])) - env.globals.update( - order_categories=order_categories, - format_description=format_description, - format_type=format_type, - format_unit=format_unit, - format_definition_refs=format_definition_refs, - format_package_import=format_package_import, - format_aliases=format_aliases, - format_default=format_default, - format_section=format_section) - with open(python_package_path, 'wt') as f: - code = env.get_template('package.j2').render(pkg=metainfo_pkg) - code = '\n'.join([ - line.rstrip() if line.strip() != '' else '' - for line in code.split('\n')]) - f.write(code) - - -if __name__ == '__main__': - # Simple use case that re-generates the common_dft package - from nomad.datamodel.metainfo.common_dft import m_package - - generate_metainfo_code(m_package, 'nomad/datamodel/metainfo/common_dft.py') diff --git a/nexusparser/metainfo/generate_nexus.py b/nexusparser/metainfo/generate_nexus.py deleted file mode 100644 index e992b2891..000000000 --- a/nexusparser/metainfo/generate_nexus.py +++ /dev/null @@ -1,298 +0,0 @@ -# -# from nomad.metainfo.generate import generate_metainfo_code -from tools import read_nexus -import os -from lxml import etree, objectify -from nomad.metainfo.metainfo import MEnum, MSection -from generate import generate_metainfo_code -from nomad.metainfo import Package -from nomad.metainfo import Section, Quantity, SubSection -# from nomad.datamodel.metainfo.nxobject import NXobject - -# you define a quantity like this -q = Quantity( - name='machine_name', - type=str, - shape=[], - description=''' - ''') - -# you define a section like this -m = Section(name='Equipment') - -# you can add a quantity to a section like this -m.quantities.append(q) - -# you can add a sub section to a section like this -r = Section(name='Experiment') -r.sub_sections.append(SubSection(sub_section=m, name='experiment', repeats=True)) - -# we then package all section definitions -p = Package(name='Package') -p.section_definitions.append(m) -p.section_definitions.append(r) - -# we write the schema as file -# generate_metainfo_code(p, 'meta.py') - - -# TODO: -# - dimension -# - enumeration -# - units -# - minOccurs / maxOccurs - - -def parse_node(m, node, ntype, level, nxhtml, nxpath): - ''' - node - xml node - ntype - node type (e.g. group, field, attribute) - level - hierachy depth (level 1 - definition) - nxhtml - url extension to html documentation (e.g. 'applications/NXxas.html') - nxpath - list of NX nodes in hierarchy - elements are in html documentation format. E.g. ['NXxas', 'ENTRY'] - ''' - nxpath_new = nxpath.copy() - nxpath_new.append(read_nexus.get_node_name(node)) - indent = ' ' * level - print("%s%s: %s (%s) %s %s" % (indent, ntype, nxpath_new[-1], read_nexus.get_nx_class(node), 'DEPRICATED!!!' if 'deprecated' in node.attrib.keys() else '', read_nexus.get_required_string(node))) - read_nexus.print_doc(node, ntype, level, nxhtml, nxpath_new) - - # Create a sub-section - metaNode = Section(name=read_nexus.get_nx_class(node)) - if ntype == 'attribute': - sub_section_name = 'nxa_' + nxpath_new[-1] - elif ntype == 'field': - sub_section_name = 'nxf_' + nxpath_new[-1] - elif ntype == 'group': - sub_section_name = 'nxg_' + nxpath_new[-1] - else: - # error - sub_section_name = 'nx_' + nxpath_new[-1] - mss = SubSection(sub_section=metaNode, name=sub_section_name, repeats=True) - metaNode.nexus_parent = mss - # decorate with properties - decorate(metaNode, node, ntype, level, nxhtml, nxpath_new) - # add the section - m.sub_sections.append(mss) - - # fields and groups can have sub-elements - if ntype != 'attribute': - # sub-attributes - for attr in node.findall('attribute'): - parse_node(metaNode, attr, 'attribute', level + 1, nxhtml, nxpath_new) - - # groups can have sub-groups and sub-fields, too - if ntype != 'field': - # sub-fields - for field in node.findall('field'): - parse_node(metaNode, field, 'field', level + 1, nxhtml, nxpath_new) - # sub-groups - for sub_group in node.findall('group'): - parse_node(metaNode, sub_group, 'group', level + 1, nxhtml, nxpath_new) - - -nxa_props = [] -nxf_props = [] -nxg_props = [] - - -def decorate(metaNode, node, ntype, level, nxhtml, nxpath): - ''' - decoreates a metainfo node (Section, Quantity) by nx metainfo - ''' - # add inherited nx properties (e.g. type, minOccurs, depricated) - for prop in node.attrib.keys(): - if "}schemaLocation" not in prop: - if ntype == 'attribute' and prop not in nxa_props: - nxa_props.append(prop) - if ntype == 'field' and prop not in nxf_props: - nxf_props.append(prop) - if ntype == 'group' and prop not in nxg_props: - nxg_props.append(prop) - q = Quantity( - name='nxp_' + prop, - type=str, - shape=[], - description=''' - ''', - default=node.attrib[prop]) - # optionality is added during decoration - if prop not in ['optional', 'recommended', 'required']: - metaNode.quantities.append(q) - # add documentation - anchor, doc = read_nexus.get_doc(node, ntype, level, nxhtml, nxpath) - q = Quantity( - name='nxp_documentation', - type=str, - shape=[], - description=('\n' + doc + '\n ' if doc is not None else ''' - ''') + anchor + " .", - default=anchor) - metaNode.quantities.append(q) - - # add derived nx properties (e.g. required) - # REQUIRED - reqStr = read_nexus.get_required_string(node) - if 'REQUIRED' in reqStr: - q = Quantity( - name='nxp_required', - type=bool, - shape=[], - description=''' - ''', - default=True) - metaNode.quantities.append(q) - if 'RECOMENDED' in reqStr: - q = Quantity( - name='nxp_recommended', - type=bool, - shape=[], - description=''' - ''', - default=True) - metaNode.quantities.append(q) - if 'OPTIONAL' in reqStr: - q = Quantity( - name='nxp_optional', - type=bool, - shape=[], - description=''' - ''', - default=True) - metaNode.quantities.append(q) - # ENUMS - (o, enums) = read_nexus.get_enums(node) - if o: - q = Quantity( - name='nxp_enumeration', - type=str, - shape=[], - description=''' - ''' + "\n Possible values:\n" + enums, - default=enums) - metaNode.quantities.append(q) - - -def parse_definition(definition, nxhtml): - ''' - definition - definition node - nxhtml - url extension to html documentation (e.g. 'applications/NXxas.html') - ''' - print('definition: %s' % (definition.attrib['name'])) - # Create a section - m = Section(name=definition.attrib['name']) - # check for base classes - if 'extends' in definition.keys(): - # try to find the proposed based class - for base in p.section_definitions: - if base.name == definition.attrib['extends']: - m.extends_base_section = True - m.base_sections = [base.section_cls.m_def] # .m_def] - break - if not m.extends_base_section: - if not definition.attrib['extends'] == 'NXobject': - print('!!! PROBLEM WITH BASE CLASS !!! %s(%s)' % (definition.attrib['name'], definition.attrib['extends'])) - m.extends_base_section = True - m.base_sections = [NXobject.m_def] - # decorate with properties - decorate(m, definition, '', 1, nxhtml, [nxhtml.replace('.html', '').split('/')[-1]]) - # parse the definition - for nodeType in ['group', 'field', 'attribute']: - for node in definition.findall(nodeType): - parse_node(m, node, nodeType, 1, nxhtml, [nxhtml.replace('.html', '').split('/')[-1]]) - # add the section - p.section_definitions.append(m) - - -def parse_file(nxdef): - ''' - Parse an NXDL definition file - - nxdef - filename (with path) under the subfolder 'definitions' - ''' - xmlparser = objectify.parse(os.environ["NEXUS_DEF_PATH"] + nxdef) - # tag-ging elements with their names - for elem in xmlparser.getiterator(): - try: - elem.tag = etree.QName(elem).localname - # print(elem.tag) - except ValueError: - print(f"Error with {elem.tag}") - # parse elements under 'definition' - root = xmlparser.getroot() - for definition in root.iter('definition'): - parse_definition(definition, nxdef.replace('nxdl.xml', 'html')) - - -def getfiles(path): - ''' - get the NXDL files in the different definition subfolders - (e.g. 'applications','base_classes','contributed_definitions') - ''' - dirs = ['base_classes', 'applications', 'contributed_definitions'] - for dir in dirs: - for file in os.listdir(path + '/' + dir): - if file.endswith('nxdl.xml'): - yield dir + '/' + file - - -p = Package(name='NEXUS') - -# add NXobject as a base class - - -class NXobject(MSection): - pass -# p.section_definitions.append(NXobject) - - -# parse_file('applications/NXmx.nxdl.xml') -for file in getfiles(os.environ["NEXUS_DEF_PATH"]): - print(file) - if 'NXtranslation.' not in file and \ - 'NXorientation.' not in file and \ - 'NXobject.' not in file: - parse_file(file) - # break - - -# sorting all sections -def compare_dependencies(i1, i2): - for i in i1.sub_sections: - if i.sub_section.name == i2.name: - return True - return False - - -list_of_sections = p.section_definitions -sorted_index = 0 -while sorted_index < len(list_of_sections): - current_index = sorted_index + 1 - while current_index < len(list_of_sections): - if compare_dependencies(list_of_sections[sorted_index], list_of_sections[current_index]): - # l[i],l[j]=l[j],l[i] - list_of_sections.append(list_of_sections[sorted_index]) - list_of_sections.__delitem__(sorted_index) - break - current_index = current_index + 1 - if current_index == len(list_of_sections): - sorted_index = sorted_index + 1 -print(list_of_sections) - - -# we write the schema as file -generate_metainfo_code(p, 'meta_nexus.py') -print('!!! meta_nexus.py is ready to be used:') -print('cp meta_nexus.py nexus.py\n') - -print('==============================================') -print('Attribute properties:') -for prop in nxa_props: - print(' - ' + prop) -print('Field properties:') -for prop in nxf_props: - print(' - ' + prop) -print('Group properties:') -for prop in nxg_props: - print(' - ' + prop) diff --git a/nexusparser/metainfo/nexus.py b/nexusparser/metainfo/nexus.py index f02f0b356..25674c350 100644 --- a/nexusparser/metainfo/nexus.py +++ b/nexusparser/metainfo/nexus.py @@ -1,3 +1,6 @@ +"""This tool is reading the xml file + +""" # # Copyright The NOMAD Authors. # @@ -16,40 +19,41 @@ # limitations under the License. # -from typing import Dict, Any -import xml.etree.ElementTree as ET -import os.path +import re import os +import os.path import sys +from typing import Dict, Any +import xml.etree.ElementTree as ET import numpy as np -import re - from nomad.utils import strip from nomad.metainfo import ( Section, Package, SubSection, Definition, Datetime, Bytes, Unit, MEnum, Quantity) from nomad.datamodel import EntryArchive -# url_regexp from https://stackoverflow.com/questions/3809401/what-is-a-good-regular-expression-to-match-a-url -url_regexp = re.compile(r'(https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*))') -xml_namespaces = {'nx': 'http://definition.nexusformat.org/nxdl/3.1'} +# URL_REGEXP from +# https://stackoverflow.com/questions/3809401/what-is-a-good-regular-expression-to-match-a-url +URL_REGEXP = re.compile(r'(https?:\/\/(www\.)?[-a-zA-Z0-9@:%._\+~#=]{1,256}\.[a-zA-Z0-9()]{1,6}\b([-a-zA-Z0-9()@:%_\+.~#?&//=]*))') # TODO please, Sherjeel, break this line :) +XML_NAMESPACES = {'nx': 'http://definition.nexusformat.org/nxdl/3.1'} # TODO the validation still show some problems. Most notably there are a few higher # dimensional fields with non number types, which the metainfo does not support -validate = False -current_package: Package = None +VALIDATE = False +CURRENT_PACKAGE: Package = None _definition_sections: Dict[str, Section] = dict() -_xml_parent_map: Dict[ET.Element, ET.Element] = None -_nx_doc_base = 'https://manual.nexusformat.org/classes' +_XML_PARENT_MAP: Dict[ET.Element, ET.Element] = None +_NX_DOC_BASE = 'https://manual.nexusformat.org/classes' # TODO There are more types in nxdl, but they are not used by the current base classes and # application definitions. -_nx_types = { +_NX_TYPES = { 'NX_FLOAT': np.dtype(np.float64), 'NX_CHAR': str, 'NX_BOOLEAN': bool, 'NX_INT': np.dtype(np.int64), + 'NX_UINT': np.dtype(np.uint64), 'NX_NUMBER': np.dtype(np.number), 'NX_POSINT': np.dtype(np.uint64), 'NX_BINARY': Bytes, @@ -57,8 +61,12 @@ } -def to_camel_case(snake_str: str, upper: bool = False) -> str: +def to_camel_case(snake_str: str, upper: bool = False): + """Take as input a snake case variable and return a camel case one + +""" components = snake_str.split('_') + if upper: return ''.join(f'{x[0].upper()}{x[1:]}' for x in components) @@ -66,6 +74,9 @@ def to_camel_case(snake_str: str, upper: bool = False) -> str: def nx_documenation_url(xml_node: ET.Element, nx_type: str): + """Get documentation url + +""" anchor_segments = [] if nx_type != 'class': anchor_segments.append(nx_type) @@ -74,44 +85,59 @@ def nx_documenation_url(xml_node: ET.Element, nx_type: str): if 'name' in xml_node.attrib: anchor_segments.append(xml_node.attrib['name'].replace('_', '-')) - xml_node = _xml_parent_map.get(xml_node) + xml_node = _XML_PARENT_MAP.get(xml_node) anchor = "-".join([name.lower() for name in reversed(anchor_segments)]) - nx_package = current_package.name.replace('nexus_', '') - doc_url = f'{_nx_doc_base}/{nx_package}/{anchor_segments[-1]}.html#{anchor}' + nx_package = CURRENT_PACKAGE.name.replace('nexus_', '') + doc_url = f'{_NX_DOC_BASE}/{nx_package}/{anchor_segments[-1]}.html#{anchor}' return doc_url def get_or_create_section(name: str, **kwargs) -> Section: - ''' - Returns the 'existing' metainfo section for a given top-level nexus base-class name. + """Returns the 'existing' metainfo section for a given top-level nexus base-class name. This function ensures that sections for these base-classes are only created one. This allows to access the metainfo section even before it is generated from the base-class nexus definition. - ''' + +""" if name in _definition_sections: section = _definition_sections[name] section.more.update(**kwargs) return section - section = Section(validate=validate, name=name, **kwargs) - current_package.section_definitions.append(section) + section = Section(validate=VALIDATE, name=name, **kwargs) + CURRENT_PACKAGE.section_definitions.append(section) _definition_sections[section.name] = section return section def get_enum(xml_node: ET.Element): - enumeration = xml_node.find('nx:enumeration', xml_namespaces) + """Get the enumeration field from xml node + +""" + enumeration = xml_node.find('nx:enumeration', XML_NAMESPACES) if enumeration is not None: enum_values = [] - for enum_value in enumeration.findall('nx:item', xml_namespaces): + for enum_value in enumeration.findall('nx:item', XML_NAMESPACES): enum_values.append(enum_value.attrib['value']) return MEnum(*enum_values) return None +def add_common_properties_helper(base_section, definition): + """Define definition var from base_section var + +""" + if base_section.description: + definition.description = base_section.description + if base_section.deprecated: + definition.deprecated = base_section.deprecated + if base_section.more: + definition.more.update(**base_section.more) + + def add_common_properties(xml_node: ET.Element, definition: Definition): ''' Adds general metainfo definition properties (e.g. deprecated, docs, optional, ...) @@ -122,35 +148,29 @@ def add_common_properties(xml_node: ET.Element, definition: Definition): # Read properties from potential base section. Those are not inherited, but we # duplicate them for a nicer presentation - if isinstance(definition, Section) and len(definition.base_sections) > 0: + if isinstance(definition, Section) and definition.base_sections: base_section = definition.base_sections[0] - if base_section.description: - definition.description = base_section.description - if base_section.deprecated: - definition.deprecated = base_section.deprecated - if len(base_section.more) > 0: - definition.more.update(**base_section.more) - + add_common_properties_helper(base_section, definition) links = [] if nx_kind is not None: doc_url = nx_documenation_url(xml_node, nx_kind) if doc_url: links.append(doc_url) - doc = xml_node.find('nx:doc', xml_namespaces) + doc = xml_node.find('nx:doc', XML_NAMESPACES) if doc is not None and doc.text is not None: definition.description = strip(doc.text) - for match in url_regexp.findall(definition.description): + for match in URL_REGEXP.findall(definition.description): links.append(match[0]) - if len(links) > 0: + if links: definition.links = links if 'deprecated' in xml_attrs: definition.deprecated = xml_attrs['deprecated'] definition.more['nx_optional'] = xml_attrs.get( - 'optional', current_package.name == 'nexus_base_classes') + 'optional', CURRENT_PACKAGE.name == 'nexus_base_classes') if 'minOccurs' in xml_attrs: definition.more['nx_min_occurs'] = xml_attrs['minOccurs'] @@ -169,12 +189,13 @@ def add_attributes(xml_node: ET.Element, section: Section): Adds quantities for all attributes in the given nexus XML node to the given section. ''' - for attribute in xml_node.findall('nx:attribute', xml_namespaces): + for attribute in xml_node.findall('nx:attribute', XML_NAMESPACES): attribute_section = create_attribute_section(attribute, section) name = attribute.attrib["name"] max_occurs = attribute.attrib.get('maxOccurs', '0') - repeats = any(name_char.isupper() for name_char in name) or max_occurs == 'unbounded' or int(max_occurs) > 1 + repeats = any(name_char.isupper() + for name_char in name) or max_occurs == 'unbounded' or int(max_occurs) > 1 section.sub_sections.append(SubSection( section_def=attribute_section, nx_kind='attribute', @@ -186,7 +207,7 @@ def add_group_properties(xml_node: ET.Element, section: Section): Adds all properties that can be generated from the given nexus group XML node to the given (empty) metainfo section definition. ''' - for group in xml_node.findall('nx:group', xml_namespaces): + for group in xml_node.findall('nx:group', XML_NAMESPACES): group_section = create_group_section(group, section) section.inner_section_definitions.append(group_section) @@ -196,16 +217,18 @@ def add_group_properties(xml_node: ET.Element, section: Section): name = f'nx_group_{group.attrib["type"].replace("NX", "").upper()}' max_occurs = group.attrib.get('maxOccurs', '0') - repeats = any(name_char.isupper() for name_char in name) or max_occurs == 'unbounded' or int(max_occurs) > 1 + repeats = any(name_char.isupper() + for name_char in name) or max_occurs == 'unbounded' or int(max_occurs) > 1 section.sub_sections.append(SubSection( section_def=group_section, nx_kind='group', name=name, repeats=repeats)) - for field in xml_node.findall('nx:field', xml_namespaces): + for field in xml_node.findall('nx:field', XML_NAMESPACES): field_section = create_field_section(field, section) name = field.attrib["name"] max_occurs = field.attrib.get('maxOccurs', '0') - repeats = any(name_char.isupper() for name_char in name) or max_occurs == 'unbounded' or int(max_occurs) > 1 + repeats = any(name_char.isupper() + for name_char in name) or max_occurs == 'unbounded' or int(max_occurs) > 1 section.sub_sections.append(SubSection( section_def=field_section, nx_kind='field', @@ -250,7 +273,7 @@ def create_attribute_section(xml_node: ET.Element, container: Section) -> Sectio assert 'name' in xml_attrs, 'attribute has not name' attribute_section = Section( - validate=validate, nx_kind='attribute', + validate=VALIDATE, nx_kind='attribute', name=xml_attrs['name'] + 'Attribute') add_base_section(attribute_section, container) container.inner_section_definitions.append(attribute_section) @@ -265,7 +288,7 @@ def create_attribute_section(xml_node: ET.Element, container: Section) -> Sectio enum_type = get_enum(xml_node) if enum_type is not None: - value_quantity.tyoe = enum_type + value_quantity.type = enum_type if value_quantity.type is None: value_quantity.type = str @@ -284,7 +307,7 @@ def create_field_section(xml_node: ET.Element, container: Section): assert 'name' in xml_attrs, 'field has not name' name = xml_attrs['name'] + 'Field' - field_section = Section(validate=validate, nx_kind='field', name=name) + field_section = Section(validate=VALIDATE, nx_kind='field', name=name) add_base_section(field_section, container) container.inner_section_definitions.append(field_section) @@ -299,12 +322,12 @@ def create_field_section(xml_node: ET.Element, container: Section): if 'type' in xml_attrs: nx_type = xml_attrs['type'] - if nx_type not in _nx_types: + if nx_type not in _NX_TYPES: raise NotImplementedError(f'type {nx_type} is not supported') field_section.more['nx_type'] = nx_type if value_quantity.type is None or value_quantity.type is Any or nx_type != 'NX_CHAR': - value_quantity.type = _nx_types[nx_type] + value_quantity.type = _NX_TYPES[nx_type] enum_type = get_enum(xml_node) if enum_type: @@ -321,10 +344,10 @@ def create_field_section(xml_node: ET.Element, container: Section): name='nx_unit', type=Unit, description='The specific unit for that this fields data has.')) - dimensions = xml_node.find('nx:dimensions', xml_namespaces) + dimensions = xml_node.find('nx:dimensions', XML_NAMESPACES) if dimensions is not None: shape = [] - for dimension in dimensions.findall('nx:dim', xml_namespaces): + for dimension in dimensions.findall('nx:dim', XML_NAMESPACES): dimension_value: Any = dimension.attrib.get('value', '*') try: dimension_value = int(dimension_value) @@ -344,15 +367,15 @@ def create_group_section(xml_node: ET.Element, container: Section) -> Section: Creates a metainfo section from the nexus group given as xml node. ''' xml_attrs = xml_node.attrib - type = xml_attrs['type'] + typ = xml_attrs['type'] if 'name' in xml_attrs: name = xml_attrs['name'] + 'Group' else: - name = type + 'Group' + name = typ + 'Group' - group_section = Section(validate=validate, nx_kind='group', name=name) - add_base_section(group_section, container, get_or_create_section(type)) + group_section = Section(validate=VALIDATE, nx_kind='group', name=name) + add_base_section(group_section, container, get_or_create_section(typ)) add_common_properties(xml_node, group_section) add_template_properties(xml_node, group_section) @@ -385,8 +408,8 @@ def create_package_from_nxdl_directory(path: str) -> Package: Creates a metainfo package from the given nexus directory. Will generate the respective metainfo definitions from all the nxdl files in that directory. ''' - global current_package - current_package = Package(name=f'nexus_{os.path.basename(path)}') + global CURRENT_PACKAGE + CURRENT_PACKAGE = Package(name=f'nexus_{os.path.basename(path)}') for nxdl_file in sorted(os.listdir(path)): if not nxdl_file.endswith('.nxdl.xml'): @@ -397,60 +420,60 @@ def create_package_from_nxdl_directory(path: str) -> Package: xml_tree = ET.parse(nxdl_path) xml_node = xml_tree.getroot() - global _xml_parent_map - _xml_parent_map = {child: parent for parent in xml_tree.iter() for child in parent} + global _XML_PARENT_MAP + _XML_PARENT_MAP = {child: parent for parent in xml_tree.iter() for child in parent} assert xml_node.attrib.get('type') == 'group', 'definition is not a group' - # The section gets already implicitly added to current_package by + # The section gets already implicitly added to CURRENT_PACKAGE by # get_or_create_section create_class_section(xml_node) - except Exception as e: + except Exception as exc: print(f'Exception while mapping {nxdl_file}', file=sys.stderr) - raise e + raise exc - return current_package + return CURRENT_PACKAGE -nx_definitions_path = os.path.join( +NX_DEFINITIONS_PATH = os.path.join( os.path.dirname(__file__), '../definitions') # We generate separated metainfo package for the nexus base classes and application # definitions. -base_classes = create_package_from_nxdl_directory(os.path.join(nx_definitions_path, 'base_classes')) -applications = create_package_from_nxdl_directory(os.path.join(nx_definitions_path, 'applications')) +BASE_CLASSES = create_package_from_nxdl_directory(os.path.join(NX_DEFINITIONS_PATH, 'base_classes')) +APPLICATIONS = create_package_from_nxdl_directory(os.path.join(NX_DEFINITIONS_PATH, 'applications')) # TODO there are problems generating with nx_package='contributed_definitions' -packages = (base_classes, applications) +PACKAGES = (BASE_CLASSES, APPLICATIONS) # We take the application definitions and create a common parent section that allows to # include nexus in an EntryArchive. -nexus_section = Section(validate=validate, name='Nexus') +NEXUS_SECTION = Section(validate=VALIDATE, name='Nexus') -for application_section in applications.section_definitions: # pylint: disable=not-an-iterable +for application_section in APPLICATIONS.section_definitions: # pylint: disable=not-an-iterable sub_section = SubSection( section_def=application_section, name=application_section.name.replace('NX', 'nx_application_')) - nexus_section.sub_sections.append(sub_section) + NEXUS_SECTION.sub_sections.append(sub_section) -applications.section_definitions.append(nexus_section) +APPLICATIONS.section_definitions.append(NEXUS_SECTION) -entry_archive_nexus_sub_section = SubSection(name='nexus', section_def=nexus_section) -EntryArchive.nexus = entry_archive_nexus_sub_section # type: ignore -EntryArchive.m_def.sub_sections.append(entry_archive_nexus_sub_section) +ENTRY_ARCHIVE_NEXUS_SUB_SECTION = SubSection(name='nexus', section_def=NEXUS_SECTION) +EntryArchive.nexus = ENTRY_ARCHIVE_NEXUS_SUB_SECTION # type: ignore +EntryArchive.m_def.sub_sections.append(ENTRY_ARCHIVE_NEXUS_SUB_SECTION) # We need to initialize the metainfo definitions. This is usually done automatically, # when the metainfo schema is defined though MSection Python classes. -for package in packages: +for package in PACKAGES: package.init_metainfo() # We skip the Python code generation for now and offer Python classes as variables # TODO not necessary right now, could also be done case-by-case by the nexus parser -python_module = sys.modules[__name__] -for package in packages: - for section in package.section_definitions: - setattr(python_module, section.name, section.section_cls) +PYTHON_MODULE = sys.modules[__name__] +for package in PACKAGES: + for sektion in package.section_definitions: + setattr(PYTHON_MODULE, sektion.name, sektion.section_cls) diff --git a/nexusparser/metainfo/templates/package.j2 b/nexusparser/metainfo/templates/package.j2 deleted file mode 100644 index 8351a5770..000000000 --- a/nexusparser/metainfo/templates/package.j2 +++ /dev/null @@ -1,80 +0,0 @@ -import numpy as np # pylint: disable=unused-import -import typing # pylint: disable=unused-import -from nomad.metainfo import ( # pylint: disable=unused-import - MSection, MCategory, Category, Package, Quantity, Section, SubSection, SectionProxy, - Reference, MEnum) -#from nomad.metainfo.legacy import LegacyDefinition -#from nomad.datamodel.metainfo.nxobject import NXobject - -{% for dependency in pkg.dependencies %} -{{ format_package_import(dependency) }} -{%- endfor %} - -m_package = Package( - name='{{ pkg.name }}', - description='{{ pkg.description }}') - -class NXobject(MSection): - pass - -class NXtranslation(NXobject): - pass - -class NXorientation(NXobject): - pass - -class NXcsg(NXobject): - pass - -class NX_FLOAT(NXobject): - pass - -class NX_BINARY(NXobject): - pass - -class NX_BOOLEAN(NXobject): - pass - -class NX_CHAR(NXobject): - pass - -class NX_DATE_TIME(NXobject): - pass - -class NX_INT(NXobject): - pass - -class NX_NUMBER(NXobject): - pass - -class NX_POSINT(NXobject): - pass - -class NX_UINT(NXobject): - pass - -{% for category in order_categories(pkg.category_definitions) %} - -class {{ category.name }}(MCategory): - {% if category.description is not none -%} - ''' - {{ format_description(category.description, indent=1) }} - ''' - {%- endif %} - - m_def = Category( - {%- if category.aliases | length > 0 %} - aliases=['{{ category.aliases[0] }}'], - {%- endif -%} - {%- if category.categories | length > 0 %} - categories=[{{ format_definition_refs(pkg, category.categories) }}], - {%- endif -%}) -{% endfor -%} - -{% for section in pkg.section_definitions %} -{{ format_section(pkg, section, indent=0) }} - -{%- endfor %} - -m_package.__init_metainfo__() -#{{- format_aliases(pkg) -}} diff --git a/nexusparser/metainfo/test_nexus.py b/nexusparser/metainfo/test_nexus.py deleted file mode 100644 index 737b141c7..000000000 --- a/nexusparser/metainfo/test_nexus.py +++ /dev/null @@ -1,10 +0,0 @@ -import meta_nexus - -source = meta_nexus.NXsource() -instrument = meta_nexus.NXinstrument() -entry = meta_nexus.NXentry() -arpes = meta_nexus.NXarpes() -object = meta_nexus.NXobject() -xrot = meta_nexus.NXxrot() -xbase = meta_nexus.NXxbase() -pass \ No newline at end of file diff --git a/nexusparser/parser.py b/nexusparser/parser.py index a71ea1dcc..cb678ee5c 100644 --- a/nexusparser/parser.py +++ b/nexusparser/parser.py @@ -1,3 +1,6 @@ +"""parser doc + +""" # # Copyright The NOMAD Authors. # @@ -16,24 +19,76 @@ # limitations under the License. # -import datetime -import numpy as np -import h5py - +import sys +import logging from nomad.datamodel import EntryArchive from nomad.parsing import MatchingParser +# from . import metainfo # pylint: disable=unused-import +from nexusparser.tools import nexus as read_nexus +from nexusparser.metainfo import nexus -from nomad.parsing.file_parser import TextParser, Quantity -from . import metainfo # pylint: disable=unused-import -from nexusparser.tools import read_nexus -from nexusparser.metainfo import nexus +def get_to_new_subsection(hdf_name, nxdef, nxdl_node, act_section): + """hdf_name name of the hdf group/field/attribute (None for definition) + nxdef application definition + nxdl_node node in the nxdl.xml + act_class actual class + act_section actual section in which the new entry needs to be picked up from + Note that if the new element did not exists, it is created now + return (new_class, new_section) + TODO: try to find also in the base section??? -import sys -import logging +""" + if hdf_name is None: + nomad_def_name = 'nx_application_' + nxdef[2:] + # nomad_class_name = nxdef + elif nxdl_node.tag.endswith('field'): + nxdl_f_a_name = nxdl_node.attrib['name'] if 'name' in nxdl_node.attrib else hdf_name + nomad_def_name = 'nx_field_' + nxdl_f_a_name + # nomad_class_name = self.get_nomad_classname(nxdl_f_a_name, None, "Field") + elif nxdl_node.tag.endswith('group'): + nxdl_g_name = nxdl_node.attrib['name'] \ + if 'name' in nxdl_node.attrib else nxdl_node.attrib['type'][2:].upper() + nomad_def_name = 'nx_group_' + nxdl_g_name + # nomad_class_name = self.get_nomad_classname(read_nexus.get_node_name(nxdl_node), + # nxdl_node.attrib['type'], "Group") + else: + nxdl_f_a_name = nxdl_node.attrib['name'] if 'name' in nxdl_node.attrib else hdf_name + nomad_def_name = 'nx_attribute_' + nxdl_f_a_name + # nomad_class_name = self.get_nomad_classname(nxdl_f_a_name, None, "Attribute") + + new_def = act_section.m_def.all_sub_sections[nomad_def_name] + new_class = new_def.section_def.section_cls + new_section = None + for section in act_section.m_get_sub_sections(new_def): + if hdf_name is None or (getattr(section, "nx_name") and section.nx_name == hdf_name): + new_section = section + break + if new_section is None: + act_section.m_create(new_class) + new_section = act_section.m_get_sub_section(new_def, -1) + if hdf_name is not None: + new_section.nx_name = hdf_name + return (new_class, new_section) + + +def get_value(hdf_value): + """Get value from hdl5 node + +""" + if str(hdf_value.dtype) == 'bool': + val = bool(hdf_value) + elif hdf_value.dtype.kind in 'iufc': + val = hdf_value + else: + val = str(hdf_value.astype(str)) + return val class NexusParser(MatchingParser): + """NesusParser doc + +""" def __init__(self): super().__init__( name='parsers/nexus', code_name='NEXUS', code_homepage='https://www.nexus.eu/', @@ -42,103 +97,67 @@ def __init__(self): supported_compressions=['gz', 'bz2', 'xz'] ) - def get_nomad_classname(self, xmlName, xmlType, suffix): - if suffix == 'Attribute' or suffix == 'Field' or xmlType[2:].upper() != xmlName: - name = xmlName + suffix - else: - name = xmlType + suffix - return name - - def get_to_new_SubSection(self, hdfName, nxdef, nxdlNode, act_class, act_section): - ''' - hdfName name of the hdf group/field/attribute (None for definition) - nxdef application definition - nxdlNode node in the nxdl.xml - act_class actual class - act_section actual section in which the new entry needs to be picked up from - Note that if the new element did not exists, it is created now - return (new_class, new_section) - TODO: try to find also in the base section??? - ''' - if hdfName is None: - nomad_def_name = 'nx_application_' + nxdef[2:] - nomad_class_name = nxdef - elif nxdlNode.tag.endswith('field'): - nxdl_F_A_Name = nxdlNode.attrib['name'] if 'name' in nxdlNode.attrib else hdfName - nomad_def_name = 'nx_field_' + nxdl_F_A_Name - nomad_class_name = self.get_nomad_classname(nxdl_F_A_Name, None, "Field") - elif nxdlNode.tag.endswith('group'): - nxdl_G_Name = nxdlNode.attrib['name'] if 'name' in nxdlNode.attrib else nxdlNode.attrib['type'][2:].upper() - nomad_def_name = 'nx_group_' + nxdl_G_Name - nomad_class_name = self.get_nomad_classname(read_nexus.get_node_name(nxdlNode), nxdlNode.attrib['type'], "Group") - else: - nxdl_F_A_Name = nxdlNode.attrib['name'] if 'name' in nxdlNode.attrib else hdfName - nomad_def_name = 'nx_attribute_' + nxdl_F_A_Name - nomad_class_name = self.get_nomad_classname(nxdl_F_A_Name, None, "Attribute") - - new_def = act_section.m_def.all_sub_sections[nomad_def_name] - new_class = new_def.section_def.section_cls - new_section = None - for section in act_section.m_get_sub_sections(new_def): - if hdfName is None or (getattr(section, "nx_name") and section.nx_name == hdfName): - new_section = section - break - if new_section is None: - act_section.m_create(new_class) - new_section = act_section.m_get_sub_section(new_def, -1) - if hdfName is not None: - new_section.nx_name = hdfName - return (new_class, new_section) - - def get_value(self, hdfValue): - if str(hdfValue.dtype) == 'bool': - val = bool(hdfValue) - elif hdfValue.dtype.kind in 'iufc': - val = hdfValue - else: - val = str(hdfValue.astype(str)) - return val +# def get_nomad_classname(self, xml_name, xml_type, suffix): +# """Get nomad classname from xml file + +# """ +# if suffix == 'Attribute' or suffix == 'Field' or xml_type[2:].upper() != xml_name: +# name = xml_name + suffix +# else: +# name = xml_type + suffix +# return name + + def nexus_populate(self, hdf_path, hdf_node, nxdef, nxdl_path, val): + """Walks through hdf_namelist and generate nxdl nodes - def nexus_populate(self, hdfPath, hdfNode, nxdef, nxdlPath, val): +""" print('%%%%%%%%%%%%%%') - # print(nxdef+':'+'.'.join(p.getroottree().getpath(p) for p in nxdlPath)+' - '+val[0]+ ("..." if len(val) > 1 else '')) - if nxdlPath is not None: - print((nxdef or '???') + ':' + '.'.join(p if isinstance(p, str) else read_nexus.get_node_name(p) for p in nxdlPath) + ' - ' + val[0] + ("..." if len(val) > 1 else '')) + # print(nxdef+':'+'.'.join(p.getroottree().getpath(p) for p in nxdl_path)+ + # ' - '+val[0]+ ("..." if len(val) > 1 else '')) + if nxdl_path is not None: + print((nxdef or '???') + ':' + '.'.join(p if isinstance(p, str) else + read_nexus.get_node_name(p) + for p in nxdl_path) + ' - \ +' + val[0] + ("..." if len(val) > 1 else '')) act_section = self.nxroot - hdfNamelist = hdfPath.split('/')[1:] - (act_class, act_section) = self.get_to_new_SubSection(None, nxdef, None, nexus, act_section) + hdf_namelist = hdf_path.split('/')[1:] + act_section = get_to_new_subsection(None, nxdef, None, act_section)[1] path_level = 1 - for hdfName in hdfNamelist: - nxdlNode = nxdlPath[path_level] if path_level < len(nxdlPath) else hdfName - (act_class, act_section) = self.get_to_new_SubSection(hdfName, nxdef, nxdlNode, act_class, act_section) + for hdf_name in hdf_namelist: + nxdl_node = nxdl_path[path_level] if path_level < len(nxdl_path) else hdf_name + act_section = get_to_new_subsection(hdf_name, nxdef, + nxdl_node, act_section)[1] path_level += 1 - if path_level < len(nxdlPath): - nxdlAttribute = nxdlPath[path_level] - if isinstance(nxdlAttribute, str): - # conventional attribute not in schema. Only necessary, if schema is not populated according + if path_level < len(nxdl_path): + nxdl_attribute = nxdl_path[path_level] + if isinstance(nxdl_attribute, str): + # conventional attribute not in schema. Only necessary, + # if schema is not populated according try: - if nxdlAttribute == "units": + if nxdl_attribute == "units": act_section.nx_unit = val[0] - elif nxdlAttribute == "default": - assert 1 == 2, "Quantity 'default' is not yet added by default to groups in Nomad schema" - except Exception as e: - print("Problem with storage!!!" + str(e)) + elif nxdl_attribute == "default": + assert 1 == 2, "Quantity \ +'default' is not yet added by default to groups in Nomad schema" + except Exception as exc: + print("Problem with storage!!!" + str(exc)) else: # attribute in schema - (act_class, act_section) = self.get_to_new_SubSection(nxdlAttribute.attrib['name'], nxdef, nxdlAttribute, act_class, act_section) + act_section = \ + get_to_new_subsection(nxdl_attribute.attrib['name'], nxdef, + nxdl_attribute, act_section)[1] try: act_section.nx_value = val[0] - except Exception as e: - print("Problem with storage!!!" + str(e)) + except Exception as exc: + print("Problem with storage!!!" + str(exc)) else: try: - act_section.nx_value = self.get_value(hdfNode[...]) - except Exception as e: - print("Problem with storage!!!" + str(e)) + act_section.nx_value = get_value(hdf_node[...]) + except Exception as exc: + print("Problem with storage!!!" + str(exc)) else: print('NOT IN SCHEMA - skipped') print('%%%%%%%%%%%%%%') - pass def parse(self, mainfile: str, archive: EntryArchive, logger): # Log a hello world, just to get us started. TODO remove from an actual parser. @@ -149,7 +168,7 @@ def parse(self, mainfile: str, archive: EntryArchive, logger): logger.info('Hello NeXus World') self.archive = archive - self.archive.m_create(nexus.Nexus) + self.archive.m_create(nexus.Nexus) # TODO I don't know where it comes from self.nxroot = self.archive.nexus nexus_helper = read_nexus.HandleNexus(logger, [mainfile]) diff --git a/nexusparser/tools/__init__.py b/nexusparser/tools/__init__.py index e69de29bb..792d60054 100644 --- a/nexusparser/tools/__init__.py +++ b/nexusparser/tools/__init__.py @@ -0,0 +1 @@ +# diff --git a/nexusparser/tools/dataconverter/Readme.md b/nexusparser/tools/dataconverter/Readme.md new file mode 100644 index 000000000..0f3f71a69 --- /dev/null +++ b/nexusparser/tools/dataconverter/Readme.md @@ -0,0 +1,131 @@ +# Data Converter + +Converts experimental data to Nexus/HDF5 files based on any provided NXDL. + +```console +user@box:~$ python convert.py +Usage: convert.py [OPTIONS] + +Options: + --input-file TEXT The path to the input data file to read. (Repeat for + more than one file.) + + --reader TEXT The reader to use. + --nxdl TEXT The path to the corresponding NXDL file. [required] + --output TEXT The path to the output Nexus file to be generated. + --generate-template Just print out the template generated from given NXDL + file. + + --help Show this message and exit. +``` + +#### Use with multiple input files + +```console +user@box:~$ python convert.py --nxdl nxdl --input_file metadata --input_file data.raw --input_file otherfile +``` + +## Installation + +1, Clone the repo using: `git clone https://github.com/nomad-coe/nomad-parser-nexus.git --recursive`\ +2. From the root folder where the setup.py exists, run: pip install -e . + +```console +user@box:~$ git clone https://github.com/nomad-coe/nomad-parser-nexus.git --recursive +user@box:~$ cd nomad-parser-nexus +user@box:~$ git checkout data-converter +user@box:~$ pip install -e . +user@box:~$ cd nexusparser/tools/dataconverter +``` + +For now, I have made sure that this tools works on this branch. + +## Writing a Reader + +This converter allows extending support to other data formats by allowing extensions called readers. The converter provides a dev platform to build a Nexus compatible reader by providing checking against a chosen Nexus Application Definition. + +Readers have to be placed in the **readers** folder in there own subfolder. The reader folder should be named with the reader's name and contain a `reader.py`.\ +For example: The reader `Example Reader` is placed under `dataconverter/readers/example/reader.py`. + +Copy and rename `readers/example/reader.py` to your own `readers/mydatareader/reader.py`. + +Then implement the reader function: + +```python +"""MyDataReader implementation for the DataConverter to convert mydata to Nexus.""" +from typing import Tuple + +from nexusparser.tools.dataconverter.readers.base_reader import BaseReader + + +class MyDataReader(BaseReader): + """MyDataReader implementation for the DataConverter to convert mydata to Nexus.""" + + def read(self, template: dict = None, file_paths: Tuple[str] = None) -> dict: + """Reads data from given file and returns a filled template dictionary""" + # Fill the template + for path in file_paths: + print(path) + + template["/entry/instrument/scan"] = raw_scan_data + + return template + + +# This has to be set to allow the convert script to use this reader. Set it to "MyDataReader". +READER = MyDataReader + +``` + +The read function takes a template dictionary based on the provided NXDL file (similar to `--generate-template`) and the list of all the file paths the user provides with `--input`. +The returned dictionary should contain keys that exist in the template as defined below. The values of these keys have to be data objects to be populated in the output Nexus file. They can be lists, numpy arrays, numpy bytes, numpy floats, numpy ints. Practically you can pass any value that can be handled by `h5py` package. + +Then you can then call this using: +```console +user@box:~$ python convert.py --reader mydata --nxdl path_to_nxdl --output path_to_output.nxs +``` + +### The reader template dictionary + +Example: + +```json +{ + "/entry/instrument/source/type": "None" +} +``` + +**Units**: If there is a field defined in the NXDL, the converter expects a filled in /data/@units entry in the template dictionary corresponding to the right /data field unless it is specified as NX_UNITLESS in the NXDL. Otherwise, you will get an exception. + +```json +{ + "/ENTRY[my_entry]/INSTRUMENT[my_instrument]/SOURCE[my_source]/data": "None", + "/ENTRY[my_entry]/INSTRUMENT[my_instrument]/SOURCE[my_source]/data/@units": "Should be set to a string value" +} +``` + +In case the NXDL does not define a `name` for the group the requested data belongs to, the template dictionary will list it as `/NAME_IN_NXDL[name_in_output_nexus]` +You can choose any name you prefer instead of the suggested name. This allows the reader function to repeat groups defined in the NXDL to be outputted to the Nexus file. + +```json +{ + "/ENTRY[my_entry]/INSTRUMENT[my_instrument]/SOURCE[my_source]/type": "None" +} +``` + +For attributes defined in the NXDL, the reader template dictionary will have the assosciated key with a "@" prefix to the attributes name at the end of the path: + +```json +{ + "/entry/instrument/source/@attribute": "None" +} +``` + +(Note: Links are not supported yet.) +You can also define links by setting the value to sub dictionary object with key `link`: + +```python +template["/entry/instrument/source"] = {"link": "/path/to/source/data"} +``` + + diff --git a/nexusparser/tools/dataconverter/__init__.py b/nexusparser/tools/dataconverter/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/nexusparser/tools/dataconverter/convert.py b/nexusparser/tools/dataconverter/convert.py new file mode 100644 index 000000000..0e2413f1a --- /dev/null +++ b/nexusparser/tools/dataconverter/convert.py @@ -0,0 +1,165 @@ +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""This script runs the conversion routine using a selected reader and write out a Nexus file.""" + +import glob +import importlib.machinery +import importlib.util +import json +import logging +import os +import re +import sys +from typing import List, Tuple, Dict +import xml.etree.ElementTree as ET + +import click + +from nexusparser.tools.dataconverter.readers.base.reader import BaseReader +from nexusparser.tools.dataconverter import helpers +from nexusparser.tools.dataconverter.writer import Writer + + +logger = logging.getLogger(__name__) # pylint: disable=C0103 +logger.setLevel(logging.INFO) +logger.addHandler(logging.StreamHandler(sys.stdout)) + + +def generate_template_from_nxdl(root, template, path=None): + """Helper function to generate a template dictionary for given NXDL""" + if path is None: + root = helpers.get_first_group(root) + path = "" + + tag = helpers.remove_namespace_from_tag(root.tag) + + if tag == "doc": + return + + suffix = "" + if "name" in root.attrib: + suffix = root.attrib['name'] + elif "type" in root.attrib: + nexus_class = helpers.convert_nexus_to_caps(root.attrib['type']) + hdf5name = f"[{helpers.convert_nexus_to_suggested_name(root.attrib['type'])}]" + suffix = f"{nexus_class}{hdf5name}" + + if tag == "attribute": + suffix = f"@{suffix}" + + path = path + "/" + suffix + + # Only add fields or attributes to the dictionary + if tag in ("field", "attribute"): + template[path] = None + + # Only add units if it is a field and the the units are defined but not set to NX_UNITLESS + if tag == "field" and ("units" in root.attrib.keys() and root.attrib["units"] != "NX_UNITLESS"): + template[f"{path}/@units"] = None + + for child in root: + generate_template_from_nxdl(child, template, path) + + +def get_reader(reader_name) -> BaseReader: + """Helper function to get the reader object from it's given name""" + path_prefix = f"{os.path.dirname(__file__)}{os.sep}" if os.path.dirname(__file__) else "" + path = os.path.join(path_prefix, "readers", reader_name, "reader.py") + spec = importlib.util.spec_from_file_location("reader.py", path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) # type: ignore[attr-defined] + return module.READER # type: ignore[attr-defined] + + +def get_names_of_all_readers() -> List[str]: + """Helper function to populate a list of all available readers""" + path_prefix = f"{os.path.dirname(__file__)}{os.sep}" if os.path.dirname(__file__) else "" + files = glob.glob(os.path.join(path_prefix, "readers", "*", "reader.py")) + all_readers = [] + for file in files: + if f"{os.sep}base{os.sep}" not in file: + index_of_readers_folder_name = file.rindex(f"readers{os.sep}") + len(f"readers{os.sep}") + index_of_last_path_sep = file.rindex(os.sep) + all_readers.append(file[index_of_readers_folder_name:index_of_last_path_sep]) + return all_readers + + +@click.command() +@click.option( + '--input-file', + default=[], + multiple=True, + help='The path to the input data file to read. (Repeat for more than one file.)' +) +@click.option( + '--reader', + default='example', + type=click.Choice(get_names_of_all_readers(), case_sensitive=False), + help='The reader to use. default="example"' +) +@click.option( + '--nxdl', + default=None, + required=True, + help='The path to the corresponding NXDL file.' +) +@click.option( + '--output', + default='output.nxs', + help='The path to the output Nexus file to be generated.' +) +@click.option( + '--generate-template', + is_flag=True, + default=False, + help='Just print out the template generated from given NXDL file.' +) +def convert(input_file: Tuple[str], reader: str, nxdl: str, output: str, generate_template: bool): + """The conversion routine that takes the input parameters and calls the necessary functions.""" + # Reading in the NXDL and generating a template + nxdl_root = ET.parse(nxdl).getroot() + + template: Dict[str, str] = {} + generate_template_from_nxdl(nxdl_root, template) + if generate_template: + template.update((key, "None") for key in template) + logger.info(json.dumps(template, indent=4, sort_keys=True)) + return + + # Setting up all the input data + bulletpoint = "\n\u2022 " + print_input_files = bulletpoint.join((" ", *input_file)) + logger.info("Using %s reader to convert the given files: %s ", reader, print_input_files) + + data_reader = get_reader(reader) + nxdl_name = re.search("NX[a-z_]*(?=.nxdl.xml)", nxdl).group(0) + if nxdl_name not in data_reader.supported_nxdls: + raise Exception("The chosen NXDL isn't supported by the selected reader.") + data = data_reader().read(template=dict(template), + file_paths=input_file) # type: ignore[operator] + + helpers.validate_data_dict(template, data, nxdl_root) + + # Writing the data to output file + Writer(data=data, nxdl_path=nxdl, output_path=output).write() + + logger.info("The output file generated: %s", output) + + +if __name__ == '__main__': + convert() # pylint: disable=no-value-for-parameter diff --git a/nexusparser/tools/dataconverter/convert_routine.svg b/nexusparser/tools/dataconverter/convert_routine.svg new file mode 100644 index 000000000..b8de1ffd6 --- /dev/null +++ b/nexusparser/tools/dataconverter/convert_routine.svg @@ -0,0 +1,3 @@ + + +
convert.py
convert.py
Generate Template
Generate Template
--nxdl
--nxdl
The NXDL used for conversion.
The NXDL used for...
Select Reader
Select Reader
--reader
--reader
The reader ID sent in from the command line.
The reader ID sent...
Reader Data
Reader Data
The flat dictionary sent back by the read func.
The flat dictionar...
Call the writer function
Call the writer funct...
--input_file (1..n)
--input_file (1....
The input data file paths sent in from the command line.
The input data fil...
--output
--output
The output filename
The output filen...
Output Nexus file
Output Nexus file
Call the read func of selected reader
Call the read func of...Viewer does not support full SVG 1.1 \ No newline at end of file diff --git a/nexusparser/tools/dataconverter/helpers.py b/nexusparser/tools/dataconverter/helpers.py new file mode 100644 index 000000000..bfe4ddf35 --- /dev/null +++ b/nexusparser/tools/dataconverter/helpers.py @@ -0,0 +1,238 @@ +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""Helper functions commonly used by the convert routine.""" + +from typing import Tuple, Callable +import re +import xml.etree.ElementTree as ET + +import numpy as np + +from nexusparser.tools import nexus + + +def convert_nexus_to_caps(nexus_name): + """Helper function to convert a Nexus class from to .""" + return nexus_name[2:].upper() + + +def convert_nexus_to_suggested_name(nexus_name): + """Helper function to suggest a name for a group from its Nexus class.""" + return nexus_name[2:] + + +def convert_data_converter_entry_to_nxdl_path_entry(entry) -> str: + """ + Helper function to convert data converter style entry to NXDL style entry: + ENTRY[entry] -> ENTRY + """ + regex = re.compile(r'(.*?)(?=\[)') + results = regex.search(entry) + return entry if results is None else results.group(1) + + +def convert_data_converter_dict_to_nxdl_path(path) -> str: + """ + Helper function to convert data converter style path to NXDL style path: + /ENTRY[entry]/sample -> /ENTRY/sample + """ + nxdl_path = '' + for entry in path.split('/')[1:]: + nxdl_path += '/' + convert_data_converter_entry_to_nxdl_path_entry(entry) + return nxdl_path + + +def get_name_from_data_dict_entry(entry) -> str: + """Helper function to get entry name from data converter style entry + + ENTRY[entry] -> entry + """ + regex = re.compile(r'(?<=\[)(.*?)(?=\])') + results = regex.search(entry) + return entry if results is None else results.group(1) + + +def convert_data_dict_path_to_hdf5_path(path) -> str: + """Helper function to convert data converter style path to HDF5 style path + + /ENTRY[entry]/sample -> /entry/sample + """ + hdf5path = '' + for entry in path.split('/')[1:]: + hdf5path += '/' + get_name_from_data_dict_entry(entry) + return hdf5path + + +def is_value_valid_element_of_enum(value, elem) -> Tuple[bool, list]: + """Checks whether a value has to be specific from the NXDL enumeration and returns options.""" + if elem is not None: + has_enums, enums = nexus.get_enums(elem) + if has_enums and (isinstance(value, list) or value not in enums[0:-1] or value == ""): + return False, enums + return True, [] + + +NUMPY_FLOAT_TYPES = (np.half, np.float16, np.single, np.double, np.longdouble) +NUMPY_INT_TYPES = (np.short, np.intc, np.int_) +NUMPY_UINT_TYPES = (np.ushort, np.uintc, np.uint) + +NEXUS_TO_PYTHON_DATA_TYPES = { + "ISO8601": (str), + "NX_BINARY": (bytes, bytearray, np.byte, np.ubyte, np.ndarray), + "NX_BOOLEAN": (bool, np.ndarray, np.bool_), + "NX_CHAR": (str, np.ndarray, np.chararray), + "NX_DATE_TIME": (str), + "NX_FLOAT": (float, np.ndarray, np.floating), + "NX_INT": (int, np.ndarray, np.signedinteger), + "NX_UINT": (np.ndarray, np.unsignedinteger), + "NX_NUMBER": (int, float, np.ndarray, np.signedinteger, np.unsignedinteger, np.floating), + "NX_POSINT": (int, np.ndarray, np.signedinteger), # > 0 is checked in is_valid_data_field() + "NXDL_TYPE_UNAVAILABLE": (str) # Defaults to a string if a type is not provided. +} + + +def check_all_children_for_callable(objects: list, check: Callable, *args) -> bool: + """Checks whether all objects in list are validated by given callable.""" + for obj in objects: + if not check(obj, *args): + return False + + return True + + +def is_valid_data_type(value, accepted_types): + """Checks whether the given value or its children are of an accepted type.""" + if not isinstance(value, list): + return isinstance(value, accepted_types) + + return check_all_children_for_callable(value, isinstance, accepted_types) + + +def is_positive_int(value): + """Checks whether the given value or its children are positive.""" + is_greater_than = lambda x: x.flat[0] > 0 if isinstance(x, np.ndarray) else x > 0 + + if isinstance(value, list): + return check_all_children_for_callable(value, is_greater_than) + + return value.flat[0] > 0 if isinstance(value, np.ndarray) else value > 0 + + +def is_valid_data_field(value, nxdl_type, path): + """Checks whether a given value is valid according to what is defined in the NXDL.""" + accepted_types = NEXUS_TO_PYTHON_DATA_TYPES[nxdl_type] + + if not is_valid_data_type(value, accepted_types): + raise Exception(f"The value at {path} should be of Python type: {accepted_types}" + f", as defined in the NXDL as {nxdl_type}.") + + if nxdl_type == "NX_POSINT" and not is_positive_int(value): + raise Exception(f"The value at {path} should be a positive int.") + + if nxdl_type in ("ISO8601", "NX_DATE_TIME"): + iso8601 = re.compile(r"^(\d{4})-(\d{2})-(\d{2})T(\d{2}):(\d{2}):(\d{2}(?:" + r"\.\d*)?)(((?!-00:00)(\+|-)(\d{2}):(\d{2})|Z){1})$") + results = iso8601.search(value) + if results is None: + raise Exception(f"The date at {path} should be a timezone aware ISO8601 " + f"formatted str. For example, 2022-01-22T12:14:12.05018Z" + f" or 2022-01-22T12:14:12.05018+00:00.") + + +def path_in_data_dict(nxdl_path: str, data: dict) -> Tuple[bool, str]: + """Checks if there is an accepted variation of path in the dictionary & returns the path.""" + for key in data.keys(): + if nxdl_path == convert_data_converter_dict_to_nxdl_path(key): + return True, key + return False, "" + + +def check_for_optional_parent(path: str, nxdl_root: ET.Element) -> str: + """Finds a parent in the branch that is optional and returns it's path or s<>.""" + parent_path = path.rsplit("/", 1)[0] + + if parent_path == "": + return "<>" + + parent_nxdl_path = convert_data_converter_dict_to_nxdl_path(parent_path) + elem = nexus.get_node_at_nxdl_path(nxdl_path=parent_nxdl_path, elem=nxdl_root) + + if nexus.get_required_string(elem) in ("<>", "<>"): + return parent_path + + return check_for_optional_parent(parent_path, nxdl_root) + + +def check_are_children_set(optional_parent_path: str, data: dict): + """Checks if any children of the given parent are set.""" + optional_parent_path = convert_data_converter_dict_to_nxdl_path(optional_parent_path) + + # Check if any of this optional parents children are given: + for key in data: + nxdl_key = convert_data_converter_dict_to_nxdl_path(key) + if optional_parent_path in nxdl_key and data[key] is not None: + return True + return False + + +def validate_data_dict(template: dict, data: dict, nxdl_root: ET.Element): + """Checks whether all the required paths from the template are returned in data dict.""" + if nxdl_root is None: + raise Exception("The NXDL file hasn't been loaded.") + + for path in template: + nxdl_path = convert_data_converter_dict_to_nxdl_path(path) + is_path_in_data_dict, renamed_path = path_in_data_dict(nxdl_path, data) + + entry_name = get_name_from_data_dict_entry(path[path.rindex('/') + 1:]) + if entry_name[0] == "@": + continue + + elem = nexus.get_node_at_nxdl_path(nxdl_path=nxdl_path, elem=nxdl_root) + + if nexus.get_required_string(elem) == "<>" and \ + (not is_path_in_data_dict or data[renamed_path] is None): + # Check if any parent is optional and none of its children are set. + optional_parent = check_for_optional_parent(path, nxdl_root) + if optional_parent == "<>" or check_are_children_set(optional_parent, data): + raise Exception(f"The data entry, {renamed_path if renamed_path else path}, " + f"is required and hasn't been supplied by the reader.") + + nxdl_type = elem.attrib["type"] if "type" in elem.attrib.keys() else "NXDL_TYPE_UNAVAILABLE" + + if is_path_in_data_dict and data[renamed_path] is not None: + is_valid_data_field(data[renamed_path], nxdl_type, renamed_path) + is_valid_enum, enums = is_value_valid_element_of_enum(data[renamed_path], elem) + if not is_valid_enum: + raise Exception(f"The value at {renamed_path} should be" + f" one of the following strings: {enums}") + + return True + + +def remove_namespace_from_tag(tag): + """Helper function to remove the namespace from an XML tag.""" + return tag.split("}")[-1] + + +def get_first_group(root): + """Helper function to get the actual first group element from the NXDL.""" + for child in root: + if remove_namespace_from_tag(child.tag) == "group": + return child + return root diff --git a/nexusparser/tools/dataconverter/readers/README.md b/nexusparser/tools/dataconverter/readers/README.md new file mode 100644 index 000000000..c82b5e28e --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/README.md @@ -0,0 +1,87 @@ +# File/Metadata and Data Format Reader Plug-ins aka ``reader`` + +The purpose of the dataconverter is to create HDF5 files with content that matches a specific NeXus application definition. +Such application definitions are useful for collecting a set of pieces of information about a specific experiment in a given +scientific field. The pieces of information are metadata and numerical data. The application definition is used to provide +these data in a format that the duties of a data delivery contract can be fulfilled: The HDF5 file, or so-called NeXus file, +delivers all those pieces of information which the application definition specifies. + +The here developed and so-called readers, are effectively software tools (plug-ins) which the converter calls to +accomplish this task for a specific set of application definition (NXDL file) plus a set of experiment/method-specific file(s). +These files can be files in a proprietary format, or of a certain format used in the respective scientific community, or +text files. Only in combination these files hold at least all the required pieces of information which the +application definition demands. + +## Project structure + +- `tbd` - Maybe further explanations are useful here. + +## Getting started + +The readers get cloned as plug-in dependencies while cloning the dataconverter. +Therefore, please follow the instructions for cloning the reader as a complete package. + +## Download the example data for testing and development purposes + +Before using your own data we strongly encourage you to download a set of open-source +test data for testing the plug-ins. There are specific jupyter-notebook examples (where??) which +detail how these tests can be executed for each of the specific readers which are listed below. + +Once you have practised with these tools how to convert these examples, feel free to +use the tools for converting your own data. You should feel invited to contact the respective +corresponding author(s) of each plug-in if you run into issues with the plug-in or feel there +is a necessity to include additional data into the NeXus file for the respective application. + +We are looking forward for learning from your experience and see the interesting use cases. + +## Current readers/plug-ins + +Details to the individual readers follow. Each reader is documented with a description +of its primary target audience, its scientific field and corresponding author. In addition, +individual support is given on how each reader can be executed. + +## apm + +`targets:` atom probe microscopy +`accepts:` NXapm.nxdl.xml +`offers:` generic reader for atom probe tomography and some related field-ion microscopy experiments. +`supports:` pos, epos, apt (the one introduced with AP Suite), rng, rrng, json +`statusquo:` single experiment + single range file + single file with additional metadata as a json document. +`contact:` Markus Kühbach (Humboldt-Universität zu Berlin) + +```sh +python converter.py --reader apm --nxdl ../../definitions/applications/NXapm.nxdl.xml --input-file 70_50_50.apt --input-file SeHoKim_R5076_44076_v02.rng --input-file ManuallyCollectedMetadata.json --output apm.test.nxs +``` + +## arpes + +`targets:` photo-emission spectroscopy +`accepts:` ?? +`offers:` ?? +`supports:` ?? +`statusquo:` ?? +`contact:` Tommaso Pincelli, Laurenz Rettig, Abeer Arora (Fritz-Haber-Institute of the Max-Planck Society) + +## em_nion + +`targets:` electron microscopy +`accepts:` NXem_nion.nxdl.xml +`offers:` initial reader for results from Nion microscopes and results achieved with nionswift software. +`supports:` npy, json +`statusquo:` single experiment and two json file(s) with additional metadata +`contact:` Markus Kühbach, Benedikt Haas, Sherjeel Shabih (Humboldt-Universität zu Berlin) + +```sh +python converter.py --reader em_nion --nxdl ../../definitions/applications/NXem_nion.nxdl.xml --input-file HAADF_01.npy --input-file HAADF_01.json --input-file HAADF_01.ELabFTW.dat --output em.test.nxs +``` + +## ellipsometry + +`targets:` ellipsometry +`accepts:` ?? +`offers:` ?? +`supports:` ?? +`statusquo:` ?? +`contact:` Carola Emminger, Tamas Haraszti, Chris Sturm (add affiliations) + + diff --git a/nexusparser/tools/dataconverter/readers/apm/reader.py b/nexusparser/tools/dataconverter/readers/apm/reader.py new file mode 100644 index 000000000..53e84c7c2 --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/apm/reader.py @@ -0,0 +1,473 @@ +#!/usr/bin/env python3 +"""Generic parser for loading atom probe microscopy data into NXapm.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +import json + +from typing import Tuple + +import numpy as np + +from nexusparser.tools.dataconverter.readers.base.reader import BaseReader +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_apt6_reader \ + import ReadAptFileFormat +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_pos_reader \ + import ReadPosFileFormat +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_epos_reader \ + import ReadEposFileFormat +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_rng_reader \ + import ReadRngFileFormat +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_rrng_reader \ + import ReadRrngFileFormat + +# NEW ISSUE: move these globals and the assess function to utilities like + +RECON_TYPES = ['pos', 'epos', 'apt'] +RANGE_TYPES = ['rng', 'rrng'] +ELAB_TYPES = ['json'] + +INVALID_INPUT = -1 +SINGLE_RECON_SINGLE_RANGE = 0 +# each reconstruction should be stored as an own file because for commercial +# atom probe microscopes it is currently impossible to get less processed data +# from the microscopes + +# to be done: add support for SINGLE_RECON_MULTIPLE_RANGE + + +def assess_situation_with_input_files(file_paths: Tuple[str] = None) -> dict: + """Different file formats contain different types of data. + + Identify how many files of specific type Tuple contains to judge if the + input has at all a chance to populate all required fields of + the application definition. + + """ + filetype_dict = {} + for file_name in file_paths: + index = file_name.lower().rfind('.') + if index >= 0: + suffix = file_name.lower()[index + 1::] + if suffix in \ + RECON_TYPES + RANGE_TYPES + ELAB_TYPES: + if suffix in filetype_dict.keys(): + filetype_dict[suffix].append(file_name) + else: + filetype_dict[suffix] = [file_name] + # files without endings are ignored + + # identify which use case we face + filetype_counts = {} + for suffix, filenames in filetype_dict.items(): + filetype_counts[suffix] = len(filenames) + + number_of_reconstructions = 0 + number_of_rangingdefs = 0 + number_of_elab_metadata = 0 + for suffix, count in filetype_counts.items(): + if suffix in RECON_TYPES: + number_of_reconstructions += count + elif suffix in RANGE_TYPES: + number_of_rangingdefs += count + elif suffix in ELAB_TYPES: + number_of_elab_metadata += count + else: + return (filetype_dict, INVALID_INPUT) + + if number_of_reconstructions == 1 \ + and number_of_rangingdefs == 1 \ + and number_of_elab_metadata == 1: + return (filetype_dict, SINGLE_RECON_SINGLE_RANGE) + + return (filetype_dict, INVALID_INPUT) + + +def report_appdef_version(template: dict) -> dict: + """Specify which application definition version is used.""" + template["/ENTRY[entry]/definition"] = "NXapm" + template["/ENTRY[entry]/definition/@version"] = "1" + + return template + + +def extract_data_from_apt_file(file_name: str, template: dict) -> dict: + """Add those required information which a APT file has.""" + print('Extracting data from APT file: ' + file_name) + aptfile = ReadAptFileFormat(file_name) + + path_prefix = '/ENTRY[entry]/atom_probe/' + xyz = aptfile.get_named_quantity('Position') + template[path_prefix + 'reconstruction/reconstructed_positions'] \ + = xyz.value + template[path_prefix + 'reconstruction/reconstructed_positions/@units'] \ + = xyz.unit + + m_z = aptfile.get_named_quantity('Mass') + template[path_prefix + 'mass_to_charge_conversion/mass_to_charge'] \ + = m_z.value + template[path_prefix + 'mass_to_charge_conversion/mass_to_charge/@units'] \ + = m_z.unit + + # all less explored optional branches in an APT6 file can also be already be accessed via the + # aptfile.get_named_quantity function but it needs to be checked if this returns values + + return template + + +def extract_data_from_pos_file(file_name: str, template: dict) -> dict: + """Add those required information which a POS file has.""" + print('Extracting data from POS file: ' + file_name) + posfile = ReadPosFileFormat(file_name) + + path_prefix = '/ENTRY[entry]/atom_probe/' + xyz = posfile.get_reconstructed_positions() + template[path_prefix + 'reconstruction/reconstructed_positions'] \ + = xyz.value + template[path_prefix + 'reconstruction/reconstructed_positions/@units'] \ + = xyz.unit + + m_z = posfile.get_mass_to_charge() + template[path_prefix + 'mass_to_charge_conversion/mass_to_charge'] \ + = m_z.value + template[path_prefix + 'mass_to_charge_conversion/mass_to_charge/@units'] \ + = m_z.unit + + return template + + +def extract_data_from_epos_file(file_name: str, template: dict) -> dict: + """Add those required information which a POS file has.""" + print('Extracting data from EPOS file: ' + file_name) + eposfile = ReadEposFileFormat(file_name) + + path_prefix = '/ENTRY[entry]/atom_probe/' + xyz = eposfile.get_reconstructed_positions() + template[path_prefix + 'reconstruction/reconstructed_positions'] \ + = xyz.value + template[path_prefix + 'reconstruction/reconstructed_positions/@units'] \ + = xyz.unit + + m_z = eposfile.get_mass_to_charge() + template[path_prefix + 'mass_to_charge_conversion/mass_to_charge'] \ + = m_z.value + template[path_prefix + 'mass_to_charge_conversion/mass_to_charge/@units'] \ + = m_z.unit + + raw_tof = eposfile.get_raw_time_of_flight() + template[path_prefix + 'voltage_and_bowl_correction/raw_tof'] \ + = raw_tof.value + template[path_prefix + 'voltage_and_bowl_correction/raw_tof/@units'] \ + = raw_tof.unit + + # NEW ISSUE:ADD RECURSIVE LOADING OF BASE CLASSES + # NEW ISSUE:ADD HANDLING OF OPTIONALITY OF GROUPS, FIELDS, ATTRIBUTES + + # dc_voltage = eposfile.get_standing_voltage() + # template[path_prefix + 'laser_and_high_voltage_pulser/standing_voltage'] = dc_voltage.value + # template[path_prefix + 'laser_and_voltage_pulser/standing_voltage/@units'] = dc_voltage.unit + + # pu_voltage = eposfile.get_pulse_voltage() + # template[path_prefix \ + # + 'laser_and_high_voltage_pulser/pulsed_voltage'] = pu_voltage.value + # template[path_prefix \ + # + 'laser_and_high_voltage_pulser/pulsed_voltage/@units'] = pu_voltage.unit + + hit_positions = eposfile.get_hit_positions() + template[path_prefix + 'ion_impact_positions/hit_positions'] \ + = hit_positions.value + template[path_prefix + 'ion_impact_positions/hit_positions/@units'] \ + = hit_positions.unit + + # little bit more discussion with e.g. F. M. M. at MPIE required + # how to add these + # npulses = eposfile.get_number_of_pulses() + # ions_per_pulse = eposfile.get_ions_per_pulse() + + # pulser NXpulser_apm the problem is if members of these base + # classes are not specified in the application definition + # the converter currently ignores them + + return template + + +def configure_ranging_data(template: dict) -> dict: + """Remove to be renamed entries with multiple occurrences.""" + # for keyword in template.keys(): + # if keyword.find('ION[ion]') >= 0: + # del template[keyword] + + template['/ENTRY[entry]/atom_probe/ranging/maximum_number_of_atoms_per_molecular_ion'] \ + = np.uint32(32) + + return template + + +def extract_data_from_rng_file(file_name: str, template: dict) -> dict: + """Add those required information which an RNG file has.""" + # modify the template to take into account ranging + # ranging is currently not resolved recursively because + # ranging(NXprocess) is a group which has a minOccurs=1, \ + # maxOccurs="unbounded" set of possible named + # NXion members, same case for more than one operator + print('Extracting data from RNG file: ' + file_name) + rangefile = ReadRngFileFormat(file_name) + + rangefile.read() + + # ion indices are on the interval [1, 256] + assert len(rangefile.rng['ions'].keys()) <= np.iinfo(np.uint8).max + 1, \ + 'Current implementation does not support more than 256 ion types' + + template['/ENTRY[entry]/atom_probe/ranging/number_of_iontypes'] \ + = np.uint8(len(rangefile.rng['ions'].keys())) + + ion_id = 1 + path_prefix = '/ENTRY[entry]/atom_probe/ranging/peak_identification/' + for ion_obj in rangefile.rng['ions'].values(): + path_specifier = path_prefix + 'ION[ion' + str(ion_id) + ']/' + + template[path_specifier + 'ion_type'] \ + = np.uint8(ion_id) + template[path_specifier + 'isotope_vector'] \ + = ion_obj.isotope_vector.value + template[path_specifier + 'charge_state'] \ + = ion_obj.charge_state.value + template[path_specifier + 'charge_state/@units'] \ + = "" # NX_DIMENSIONLESS + template[path_specifier + 'name'] \ + = ion_obj.name.value + template[path_specifier + 'mass_to_charge_range'] \ + = ion_obj.ranges.value + template[path_specifier + 'mass_to_charge_range/@units'] \ + = ion_obj.ranges.unit + # charge_state and name is not included in rng rangefiles + + ion_id += 1 + + return template + + +def extract_data_from_rrng_file(file_name: str, template: dict) -> dict: + """Add those required information which an RRNG file has.""" + # modify the template to take into account ranging + # ranging is currently not resolved recursively because + # ranging(NXprocess) is a group which has a minOccurs=1, \ + # maxOccurs="unbounded" set of possible named + # NXion members, same case for more than one operator + print('Extracting data from RRNG file: ' + file_name) + rangefile = ReadRrngFileFormat(file_name) + + rangefile.read() + + # ion indices are on the interval [1, 256] + assert len(rangefile.rrng['ions'].keys()) <= np.iinfo(np.uint8).max + 1, \ + 'Current implementation does not support more than 256 ion types' + + template['/ENTRY[entry]/atom_probe/ranging/number_of_iontypes'] \ + = np.uint8(len(rangefile.rrng['ions'].keys())) + + ion_id = 1 + path_prefix = '/ENTRY[entry]/atom_probe/ranging/peak_identification/' + for ion_obj in rangefile.rrng['ions'].values(): + path_specifier = path_prefix + 'ION[ion' + str(ion_id) + ']/' + + template[path_specifier + 'ion_type'] \ + = np.uint8(ion_id) + template[path_specifier + 'isotope_vector'] \ + = ion_obj.isotope_vector.value + template[path_specifier + 'charge_state'] \ + = ion_obj.charge_state.value + template[path_specifier + 'charge_state/@units'] \ + = "" # NX_DIMENSIONLESS + template[path_specifier + 'name'] \ + = ion_obj.name.value + template[path_specifier + 'mass_to_charge_range'] \ + = ion_obj.ranges.value + template[path_specifier + 'mass_to_charge_range/@units'] \ + = ion_obj.ranges.unit + # charge_state and name is not included in rrng rangefiles + + ion_id += 1 + + return template + + +def extract_data_from_json_file(file_name: str, template: dict) -> dict: + """Add those required information which a JSON file has.""" + # file_name = 'R31_06365-v02.ELabFTW.12.json' + with open(file_name, 'r') as file_handle: + jsn = json.load(file_handle) + + # use a translation dictionary to enable that the JSON dictionary + # from the electronic lab notebook can have a different set of keywords + + for keyword, value in jsn.items(): + assert keyword in template.keys(), \ + print(keyword + ' is not a keyword in template!') + template[keyword] = value + + return template + + +class ApmReader(BaseReader): + """Parse content from community file formats. + + Specifically, local electrode atom probe microscopy + towards a NXapm.nxdl-compliant NeXus file. + + """ + + # pylint: disable=too-few-public-methods + + # Whitelist for the NXDLs that the reader supports and can process + supported_nxdls = ["NXapm"] + + def read(self, template: dict = None, + file_paths: Tuple[str] = None) -> dict: + """Read data from given file, return filled template dictionary.""" + typed_files, case = assess_situation_with_input_files(file_paths) + assert case > INVALID_INPUT, \ + 'Each reconstruction should have only one \ + range file and an associated metadata file!' + + report_appdef_version(template) + + print('Add metadata which come from other sources...') + if 'json' in typed_files.keys(): + assert len(typed_files['json']) == 1, \ + 'List of json files is ambiguous!' + extract_data_from_json_file(typed_files['json'][0], template) + else: + print('Unable to extract information from a lab notebook!') + return {} + + print("Add (optional) vendor file data...") + if 'apt' in typed_files.keys(): + assert len(typed_files['apt']) == 1, \ + 'List of apt files is ambiguous!' + extract_data_from_apt_file(typed_files['apt'][0], template) + elif 'epos' in typed_files.keys(): + assert len(typed_files['epos']) == 1, \ + 'List of epos files is ambiguous!' + extract_data_from_epos_file(typed_files['epos'][0], template) + elif 'pos' in typed_files.keys(): + assert len(typed_files['pos']) == 1, \ + 'List of pos files is ambiguous!' + extract_data_from_pos_file(typed_files['pos'][0], template) + else: + print('Unable to extract information from a reconstruction!') + return {} + + print("Add (optional) ranging data...") + configure_ranging_data(template) + + if 'rng' in typed_files.keys(): + assert len(typed_files['rng']) == 1, \ + 'List of rng files is ambiguous!' + extract_data_from_rng_file(typed_files['rng'][0], template) + elif 'rrng' in typed_files.keys(): + assert len(typed_files['rrng']) == 1, \ + 'List of rrng files is ambiguous!' + extract_data_from_rrng_file(typed_files['rrng'][0], template) + else: + print('Unable to extract information from a range file!') + return {} + + for keyword in template.keys(): + if template[keyword] is None: + print("Entry: '" + keyword + " is not properly defined yet!") + + # delete_not_properly_handled_fields(template) + # NEW ISSUE: these deleted fields should be handled during the + # instantiation of the template, i.e. if ION[ion] is minOccur=0 + # the converter should not ask for this field to be present ! + + # hot fixed for now suggesting to implement as a new issue + # NEW ISSUE: implement a functionality to return NX data type information + # at this reader level so that values of a certain type family, like NX_UINT + # get transformed into the specific datatype, like uint32 or uint64 e.g. + implicit_int_to_uint32 = [ + "/ENTRY[entry]/atom_probe/hit_multiplicity/hit_multiplicity", + "/ENTRY[entry]/atom_probe/hit_multiplicity/pulses_since_last_ion", + "/ENTRY[entry]/atom_probe/hit_multiplicity/pulse_id", + "/ENTRY[entry]/atom_probe/ranging/peak_identification/ION[ion]/ion_type", + "/ENTRY[entry]/atom_probe/ranging/peak_identification/ION[ion]/isotope_vector"] + for entry in implicit_int_to_uint32: + template[entry] = np.uint32(template[entry]) + + return template + + +# This has to be set to allow the convert script to use this reader. +READER = ApmReader + + +# deprecated +# ============================================================================= +# def delete_not_properly_handled_fields(template: dict) -> dict: +# """Remove fields which are currently not properly handled by the converter.""" +# prefix = "/ENTRY[entry]/atom_probe/" +# nxdl_paths = [ +# prefix + "ranging/peak_identification/ION[ion]/name", +# prefix + "ranging/peak_identification/ION[ion]/charge_state", +# prefix + "ranging/peak_identification/ION[ion]/charge_state/@units", +# prefix + "ranging/peak_identification/ION[ion]/ion_type", +# prefix + "ranging/peak_identification/ION[ion]/isotope_vector", +# prefix + "ranging/peak_identification/ION[ion]/mass_to_charge_range", +# prefix + "ranging/peak_identification/ION[ion]/mass_to_charge_range/@units", +# prefix + "control_software/analysis_chamber/pressure", +# prefix + "control_software/analysis_chamber/pressure/@units", +# prefix + "hit_multiplicity/hit_multiplicity", +# prefix + "hit_multiplicity/pulses_since_last_ion", +# prefix + "ion_impact_positions/hit_positions", +# prefix + "ion_impact_positions/hit_positions/@units", +# prefix + "laser_or_high_voltage_pulser/pulsed_voltage", +# prefix + "laser_or_high_voltage_pulser/pulsed_voltage/@units", +# prefix + "laser_or_high_voltage_pulser/standing_voltage", +# prefix + "laser_or_high_voltage_pulser/standing_voltage/@units", +# prefix + "voltage_and_bowl_correction/calibrated_tof/@units", +# prefix + "voltage_and_bowl_correction/raw_tof", +# prefix + "voltage_and_bowl_correction/raw_tof/@units"] +# +# for path in nxdl_paths: +# assert path in template.keys(), \ +# "nxdl_path: " + path + " is not a key in template!" +# template.pop(path, None) +# +# # NEW ISSUE: remove also these fields in the future they are redundant for peak_identification +# prefix = "/ENTRY[entry]/atom_probe/" +# nxdl_paths = [ +# prefix + "ranging/peak_search_and_deconvolution/PEAK[peak]/intensity", +# prefix + "ranging/peak_search_and_deconvolution/PEAK[peak]/intensity/@units", +# prefix + "ranging/peak_search_and_deconvolution/PEAK[peak]/label", +# prefix + "ranging/peak_search_and_deconvolution/PEAK[peak]/peak_model", +# prefix + "ranging/peak_search_and_deconvolution/PEAK[peak]/position", +# prefix + "ranging/peak_search_and_deconvolution/PEAK[peak]/position/@units"] +# +# for path in nxdl_paths: +# assert path in template.keys(), \ +# "nxdl_path: " + path + " is not a key in template!" +# template.pop(path, None) +# +# return template +# ============================================================================= diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/NXapmInformationSourcesToNeXus.ods b/nexusparser/tools/dataconverter/readers/apm/utils/NXapmInformationSourcesToNeXus.ods new file mode 100644 index 000000000..ff405bd70 Binary files /dev/null and b/nexusparser/tools/dataconverter/readers/apm/utils/NXapmInformationSourcesToNeXus.ods differ diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/__init__.py b/nexusparser/tools/dataconverter/readers/apm/utils/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_headers.py b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_headers.py new file mode 100644 index 000000000..2af52a634 --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_headers.py @@ -0,0 +1,99 @@ +#!/usr/bin/env python3 +"""AMETEK APT(6) data exchange file reader used by atom probe microscopists.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +import numpy as np + +# from readers.nx_apm_utils.aptfim_io_apt6_utils import np_uint16_to_string +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_apt6_utils \ + import string_to_typed_nparray + + +class AptFileHeaderMetadata(): + """Information content in the header to an APT(6) file.""" + + # we make the variable names as close as possible to the original naming + # scheme from the source code snippets which AMETEK shared with us + # when developing the parser for their vendor file format + def __init__(self): + # file format signature + self.c_signature = string_to_typed_nparray('APT\0', 4, np.uint8) + # byte length of the file header + self.i_header_size = np.int32(540) + # version number of the file header, currently expecting 2 + self.i_header_version = np.int32(2) + # original filename, i.e. *.apt filename, null-terminated UTF-16 ! + self.wc_filename = string_to_typed_nparray('', 256, np.uint16) + # file creation time + # according to AMETEK is implemented as a VisualStudio C++ FILETIME + # 64-bit value, which represents the number of 100-nanosecond intervals + # since January 1, 1601, as per the MSDN specification + self.ft_creation_time = np.uint64(0) + # number of ions represented by file + self.ll_ion_count = np.uint64(0) # or an int64 ? + + @classmethod + def get_numpy_struct(cls) -> np.dtype: + """Create customized numpy struct to read a file header at once.""" + return np.dtype([('cSignature', np.uint8, (4,)), + ('iHeaderSize', np.int32), + ('iHeaderVersion', np.int32), + ('wcFilename', np.uint16, 256), + ('ftCreationTime', np.uint64), + ('llIonCount', np.uint64)]) + + def set_ll_ion_count(self, value: np.uint64): + """Check and set total ion count.""" + assert isinstance(value, np.uint64), \ + 'llIonCount needs to be an int!' + assert value > 0, \ + 'llIonCount needs to be positive and not zero!' + assert value <= np.iinfo(np.uint64).max, \ + 'llIonCount is too large, needs to map to np.uint64!' + self.ll_ion_count = np.uint64(value) + + def matches(self, found_header: np.ndarray) -> bool: + """Compare a read header against expectation.""" + assert np.array_equal(self.c_signature, + found_header['cSignature'][0], + equal_nan=True), \ + 'Header cSignature differs!' + assert self.i_header_size \ + == found_header['iHeaderSize'][0], \ + 'Header iHeaderSize differs!' + assert self.i_header_version \ + == found_header['iHeaderVersion'][0], \ + 'Header iHeaderVersion differs!' + assert found_header['llIonCount'][0] > 0, \ + 'Header indicates there are no ions in the file!' + + self.set_ll_ion_count(found_header['llIonCount'][0]) + return True + + +# define which header and sections to expect in an *.apt file +# the sections below are referred to as branches in the commercial software +# APSuite enables users select prior I/O which of the sections to write +# normally a range file from based on the exchange with AMETEK and +# expected_header = apt6file_header_metadata() +EXPECTED_HEADER = AptFileHeaderMetadata() diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_reader.py b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_reader.py new file mode 100644 index 000000000..880d82825 --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_reader.py @@ -0,0 +1,257 @@ +#!/usr/bin/env python3 +"""AMETEK APT(6) data exchange file reader used by atom probe microscopists.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +import os + +# import mmap + +import numpy as np + +import pandas as pd + +# from pint import UnitRegistry + +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_apt6_utils \ + import np_uint16_to_string +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_apt6_headers \ + import AptFileHeaderMetadata +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_apt6_sections \ + import AptFileSectionMetadata +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_apt6_sections_branches \ + import EXPECTED_SECTIONS +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_utils \ + import NxField, get_memory_mapped_data + + +class ReadAptFileFormat(): + """Read AMETEK's open exchange *.apt file format.""" + + def __init__(self, filename: str): + assert len(filename) > 4, 'APT file incorrect filename ending!' + assert filename.lower().endswith('.apt'), \ + 'APT file incorrect file type!' + self.filename = filename + + self.filesize = os.path.getsize(self.filename) + print('Reading ' + self.filename + ' which is ' + str(self.filesize) + ' bytes') + + self.header_section = None + self.byte_offsets = {} + self.available_sections = {} + # where do sections start bytes from beginning of the file? + self.apt = {} + + self.parse_file_structure() + + def parse_file_structure(self): + """Parse APT file header plus flat collection of metadata/data pairs. + + Each pair has a so-called section header and a corresponding raw data + block. Section headers detail the content of the immediately trailing + raw data block. + An APT file can store none, some, or all of the possible sections. + Furthermore the file can contain additional pieces of information + which this parser cannot read-out because the APT format is maintained + by AMETEK. The AMETEK source code is the only reliable source of + information about which content the sections encode and how these + get formatted when exporting an APT file from APSuite for a specific + version and build number and type of experiment plus + combinations of settings. + Parse header of the file and check which parsable sections the file + contains get the byte offsets of the sections from the beginning + relative to the start/beginning of the file. + """ + self.byte_offsets = {} + self.header_section = None + self.available_sections = {} + + with open(self.filename, 'rb') as file_handle: + self.dummy_header = AptFileHeaderMetadata() + found_header = np.fromfile(file_handle, + self.dummy_header.get_numpy_struct(), + count=1) + + assert self.dummy_header.matches(found_header), \ + 'Found an unexpectedly formatted/versioned header! \ + Please contact the development team to help us inspect \ + the matter.' + print('File describes ' + str(found_header['llIonCount'][0]) + ' ions') + + self.header_section = found_header + self.byte_offsets['header'] = np.uint64(file_handle.tell()) + print(self.byte_offsets['header']) + + end_of_file_not_reached = b'yes' + while end_of_file_not_reached != b'': + # probe for end of file + end_of_file_not_reached = file_handle.read(1) + if end_of_file_not_reached != b'': + file_handle.seek(-1, os.SEEK_CUR) + else: + print('End of file at ' + str(file_handle.tell()) + ' bytes') + break + + dummy_section = AptFileSectionMetadata() + found_section = np.fromfile(file_handle, + dummy_section.get_numpy_struct(), + count=1) + keyword = np_uint16_to_string( + found_section['wcSectionType'][0]) + + assert keyword not in self.available_sections.keys(), \ + 'Found a duplicate of an already parsed section! Please \ + contact the development team as we have never encountered \ + an example of such a section duplication and here seems \ + to be an example to inspect the matter.' + assert keyword in EXPECTED_SECTIONS.keys(), \ + 'Found an unknown section, seems like an unknown/new \ + branch! Please contact the development team to enable us \ + to contact AMETEK and discuss the situation.' + + metadata_section = EXPECTED_SECTIONS[keyword] + assert metadata_section.matches(found_section), \ + 'Found an uninterpretable section! Please contact the \ + development team to help us fixing this.' + self.available_sections[keyword] = metadata_section + + self.byte_offsets[keyword] = np.uint64(file_handle.tell()) + if keyword == 'Position': + # special case six IEEE 32-bit floats preceeding raw data + self.byte_offsets[keyword] += np.uint64(6 * 4) + self.byte_offsets[keyword] += np.uint64( + found_section['llByteCount'][0]) + print('Byte offset for reading data for section: ' + keyword) + print(self.byte_offsets[keyword]) + # print(file_handle.tell()) + file_handle.seek(self.byte_offsets[keyword], os.SEEK_SET) + # print(file_handle.tell()) + + # one convenience reader function for every known section + # is useful because it structures the parsers, enables reading the file + # partially and reduces main memory consumption during full parsing + def get_header(self): + """Report metadata in the header.""" + metadata_dict = { + 'cSignature': + np_uint16_to_string(self.header_section['cSignature'][0]), + 'iHeaderSize': + np.int32(self.header_section['iHeaderSize'][0]), + 'iHeaderVersion': + np.int32(self.header_section['iHeaderVersion'][0]), + 'wcFilename': + np_uint16_to_string(self.header_section['wcFilename'][0]), + 'ftCreationTime': + np.uint64(self.header_section['ftCreationTime'][0]), + 'llIonCount': + np.uint64(self.header_section['llIonCount'][0])} + # check e.g. https://gist.github.com/Mostafa-Hamdy-Elgiar/ + # 9714475f1b3bc224ea063af81566d873 repo + # for converting Windows/MSDN time to Python time + for key, value in iter(metadata_dict.items()): + print(key + ': ' + str(value)) + + def get_metadata(self, keyword: str): + """Report available metadata for quantity if it exists.""" + if keyword in self.available_sections.keys() \ + and keyword in self.byte_offsets.keys(): + metadata_dict = self.available_sections[keyword].get_metadata() + for key, value in iter(metadata_dict.items()): + print(key + ': ' + str(value)) + + def get_metadata_table(self): + """Create table from all metadata for each section.""" + column_names = ['section'] # header + assert 'Mass' in self.available_sections.keys(), \ + 'Cannot create table, Mass section not available to guide \ + the creation of the table header!' + for key in self.available_sections['Mass'].get_metadata().keys(): + column_names.append(key) + data_frame = pd.DataFrame(columns=column_names) + + for keyword, value in self.available_sections.items(): + row = {'section': keyword} + row = row | value.get_metadata() + data_frame = data_frame.append(row, ignore_index=True) + + return data_frame + + def get_named_quantity(self, keyword: str): + """Read quantity with name in keyword from APT file if it exists.""" + if keyword in self.available_sections.keys() \ + and keyword in self.byte_offsets.keys(): + byte_position_start = self.byte_offsets[keyword] \ + - self.available_sections[keyword].get_ametek_size() + print('Reading section ' + keyword + ' at ' + str(byte_position_start)) + + dtype = self.available_sections[keyword].get_ametek_type() + offset = byte_position_start + stride = np.uint64( + self.available_sections[keyword].meta['i_data_type_size'] / 8) + count = self.available_sections[keyword].get_ametek_count() + + data = get_memory_mapped_data( + self.filename, dtype, offset, stride, count) + + shape = tuple(self.available_sections[keyword].get_ametek_shape()) + unit = self.available_sections[keyword].meta['wc_data_unit'] + + return NxField( + np.reshape(data, newshape=shape), np_uint16_to_string(unit)) + + return NxField() + + def get_mass_to_charge_state_ratios(self): + """Read mass-to-charge.""" + return self.get_named_quantity('Mass') + + def get_reconstructed_positions(self): + """Read reconstructed positions.""" + return self.get_named_quantity('Position') + + +# examples how to use functionalities of this file format parser +# prefix = 'E:/Theobook165/GITHUB/FAIRMAT-PARSER/fairmat_areab_parser \ +# /tutorials/aptfim/examples/deu_duesseldorf_mpie' +# prefix = 'E:/Theobook165/FHI_FHI_FHI/Paper/xxxx_ParaprobeAnalytics \ +# AsAFairMatPlugin/research/database/ger_duesseldorf_antonov' +# prefix = prefix = 'E:/Theobook165/FHI_FHI_FHI/Paper/xxxx_ParaprobeAnalytics \ +# AsAFairMatPlugin/research/database/ger_duesseldorf_saxena' +# these two files are corrupted +# TEST_FILE_NAME = 'FlatTest_f903a3f2-6aa0-4019-9890-3c983b43d513.apt' +# TEST_FILE_NAME = prefix + '/' + 'c2fe4adf-f6f4-44aa-b6ec-76345fe88269.apt' +# tested with the next three worked nicely the above two were created with +# development stage APSuite versions, it turned out that file corruptions +# were tracable with the above two thus representing case of bugs in APSuite +# TEST_FILE_NAME = prefix + '/' + 'R5006_29110_Top_Level_ROI.apt' +# TEST_FILE_NAME = prefix + '/' + 'D1_High_Hc_R5076_52126.apt' +# test cases how to use the parser +# TEST_FILE_NAME = '70_50_50.apt' # Xuyang Zhou's (MPIE) \ +# Alexander Reichmann's (Leoben) test case +# parsedFile = ReadAptFileFormat(TEST_FILE_NAME) +# metadata_table = parsedFile.get_metadata_table() +# parsedFile.get_metadata('Position') +# parsedFile.get_header() +# xyz = parsedFile.get_reconstructed_positions() +# mq = parsedFile.get_mass_to_charge_state_ratios() +# mq = parsedFile.get_named_quantity('Mass') diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_sections.py b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_sections.py new file mode 100644 index 000000000..64ae791d0 --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_sections.py @@ -0,0 +1,415 @@ +#!/usr/bin/env python3 +"""AMETEK APT(6) data exchange file reader used by atom probe microscopists.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +import numpy as np + +# from pint import UnitRegistry + +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_apt6_utils \ + import np_uint16_to_string, string_to_typed_nparray + + +class AptFileSectionMetadata(): + """Information content in the header to a section in an APT(6) file.""" + + def __init__(self): + # resolved name of the section + self.meta = {} + self.meta['section_name'] = '' + # section format signature + # or is the c_signature really uint16 ? + self.meta['c_signature'] = string_to_typed_nparray('SEC\0', 4, np.uint8) + # byte length of the section header + self.meta['i_header_size'] = np.int32(0) + # version number of the section header + self.meta['i_header_version'] = np.int32(0) + # string header/title representation of info content in the section + self.meta['wc_section_type'] = string_to_typed_nparray('', 32, np.uint16) + # version of this section data + self.meta['i_section_version'] = np.int32(0) + # enum value specifying how the records relate to ion + # 0 (unknown) + # 1 (one-to-one mapping) + # 2 (sparse 64bit ion index as first element) + # 3 (unrelated) + # 4 (first element is # of indices, then a list, then the record itself + self.meta['e_relationship_type'] = np.uint32(0) + # enum value specifying type of record + # 0 (unknown) + # 1 (variable size) + # 2 (variable indexed) + self.meta['e_record_type'] = np.uint32(0) + # enum value specifying data type of records + # 0 (unknown) + # 1 (int, iDataTypeSize 8, 16, 32, or 64) + # 2 (uint, iDataTypeSize arbitrary can bit pack within records) + # 3 (IEEE float 32 or 64) + # 4 (char string, iDataTypeSize 8, 16 + # iRecordSize of 0 is null terminated + # iRecordSize > 0 is fixed length + # 5 (other)) + self.meta['e_record_data_type'] = np.uint32(0) + # size in bits of data type + self.meta['i_data_type_size'] = np.int32(0) + # size of the record (bytes) + # this must be a multiple of iDataTypeSize/8 + # or 0 for variable length + self.meta['i_record_size'] = np.int32(0) + # string representation the unit of the data + self.meta['wc_data_unit'] = string_to_typed_nparray('', 16, np.uint16) + self.accepted_units = [''] + # number of records following this header + # do not use for seeking to next section, use llByteCount instead! + self.meta['ll_record_count'] = np.int64(0) + # number of bytes following the header + # this may be > llRecordCount * iRecordSize to allow for padding! + self.meta['ll_byte_count'] = np.int64(0) + + # we define setters here to implement type checks and thereby + # remove type and consistency checks out of the main code + # because the consumer of an *.apt file should not need to deal + # with the internal byte and format handling that maps from the + # conventions AMETEK uses and how this maps to numpy arrays + + def set_section_name(self, value: str): + """Check and set section name.""" + assert isinstance(value, str), 'SectionName must be a string!' + assert value != '', 'SectionName must not be an empty string!' + assert len(value) <= 32, \ + 'SectionName must not contain more than 32 characters!' + # SectionName is not null-terminated! + self.meta['section_name'] = value + + def set_c_signature(self): + """Check and set c_signature.""" + # assert isinstance(value, str), \ + # 'cSignature needs to be a string!' + # assert value is not '', \ + # 'cSignature must not be an empty string!' + # assert len(value) <= 4, \ + # 'cSignature must not contain more than 4 characters!' + # assert value[-1] == '\0', \ + # 'cSignature needs to include the null-terminator! + # assert value == 'SEC\0', \ + # 'cSignature must be SEC\0 which is a string!' + # so far all example file indicated AMETEK implemented 'SEC\0' hard + self.meta['c_signature'] = string_to_typed_nparray('SEC\0', 4, np.uint8) + + def set_i_header_size(self, value: np.int32): + """Check and set i_header_size.""" + # assert isinstance(value, int), \ + # 'iHeaderSize needs to be an int!' + assert value >= 0, \ + 'iHeaderSize needs to be positive or zero!' + assert value <= np.iinfo(np.int32).max, \ + 'iHeaderSize too large, needs to map to np.int32!' + self.meta['i_header_size'] = np.int32(value) + + def set_i_header_version(self, value: np.int32): + """Check and size i_header_version.""" + # assert isinstance(value, int), \ + # 'iHeaderVersion needs to be an int!' + assert value >= 0, \ + 'iHeaderVersion needs to be positive or zero!' + assert value <= np.iinfo(np.int32).max, \ + 'iHeaderVersion too large, needs to map to np.int32!' + self.meta['i_header_version'] = np.int32(value) + + def set_wc_section_type(self, value: str): + """Check and set wc_section_type.""" + assert isinstance(value, str), \ + 'wcSectionType needs to be a string!' + assert value != '', \ + 'cSignature must not be an empty string!' + assert len(value) <= 32, \ + 'wcSectionType string must not contain more than 32 characters!' + # assert value[-1] == '\0', \ + # 'wcSectionType needs to include the null-terminator!' + self.meta['wc_section_type'] = string_to_typed_nparray(value, 32, np.uint16) + + def set_i_section_version(self, value: np.int32): + """Check and set i_section_version.""" + # assert isinstance(value, int), \ + # 'iSectionVersion needs to be an int!' + assert value >= 0, \ + 'iSectionVersion needs to be positive or zero!' + assert value <= np.iinfo(np.int32).max, \ + 'iiSectionVersion too large, needs to map to np.int32!' + self.meta['i_section_version'] = np.int32(value) + + def set_e_relationship_type(self, value: np.uint32): + """Check and set e_relationship_type.""" + # assert isinstance(value, int), \ + # 'eRelationShipType needs to be an int!' + assert value in [0, 1, 2, 3, 4], \ + 'eRelationShipType needs to be from [0, 1, 2, 3, 4]!' + assert value == 1, \ + 'eRelationShipType cannot process 2, 3, and 4, lacking examples!' + self.meta['e_relationship_type'] = np.uint32(value) + + def set_e_record_type(self, value: np.uint32): + """Check and set e_record_type.""" + # assert isinstance(value, int), \ + # 'eRecordType needs to be an int!' + assert value in [0, 1, 2], \ + 'eRecordType needs to be from [0, 1, 2]!' + # assert value != 1, \ + # 'eRecordType cannot process 2, 3, and 4, lacking examples!' + self.meta['e_record_type'] = np.uint32(value) + + def set_e_record_data_type(self, value: np.uint32): + """Check and set e_record_data_type.""" + # assert isinstance(value, int), \ + # 'e_record_data_type needs to be an int!' + assert value in [0, 1, 2, 3, 4, 5], \ + 'eRecordDataType needs to be from [0, 1, 2, 3, 4, 5]!' + assert value != 5, \ + 'eRecordDataType cannot process 5 due to lacking examples!' + self.meta['e_record_data_type'] = np.uint32(value) + + def set_i_data_type_size(self, value: np.int32): + """Check and set i_data_type_size.""" + # assert isinstance(value, int), \ + # 'iDataTypeSize needs to be an int!' + assert value > 0, \ + 'iDataTypeSize needs to be positive and not zero!' + assert value <= np.iinfo(np.int32).max, \ + 'iDataTypeSize too large, needs to map to np.int32!' + self.meta['i_data_type_size'] = np.int32(value) + + def set_i_record_size(self, value: int): + """Check and set i_record_size.""" + assert isinstance(value, int), \ + 'iDataTypeSize needs to be an int!' + assert value > 0, \ + 'iHeaderVersion needs to be positive and not zero!' + assert value <= np.iinfo(np.int32).max, \ + 'iHeaderVersion too large, needs to map to np.int32!' + self.meta['i_record_size'] = np.int32(value) + + def set_wc_data_unit(self, value: str): + """Check and set wc_data_unit.""" + assert isinstance(value, str), \ + 'wcDataUnit needs to be a string!' + # can be the empty string is NX_UNITLESS or NX_DIMENSIONLESS + assert len(value) <= 16, \ + 'wcDataUnit must not contain more than 16 characters!' + # assert value[-1] == '\0', \ + # 'wcDataUnit needs to include the null-terminator!' + # so far all example file indicated AMETEK implemented 'SEC\0' hard + self.meta['wc_data_unit'] = string_to_typed_nparray(value, 16, np.uint16) + + def set_accepted_units(self, value: list): + """Set which unit strings are accepted.""" + # add further checks using e.g. pint + self.accepted_units = value + + @classmethod + def get_numpy_struct(cls) -> np.dtype: + """Create customized numpy struct to read a section header at once.""" + return np.dtype([('cSignature', np.uint8, (4,)), + ('iHeaderSize', np.int32), + ('iHeaderVersion', np.int32), + ('wcSectionType', np.uint16, 32), + ('iSectionVersion', np.int32), + ('eRelationshipType', np.uint32), + ('eRecordType', np.uint32), + ('eRecordDataType', np.uint32), + ('iDataTypeSize', np.int32), + ('iRecordSize', np.int32), + ('wcDataUnit', np.uint16, 16), + ('llRecordCount', np.uint64), + ('llByteCount', np.uint64)]) + + def get_ametek_size(self) -> np.uint64: + """Compute how many byte raw data in bytes to read from AMETEK defs.""" + return np.uint64(self.meta['ll_byte_count']) + + def get_ametek_type(self) -> str: + """Interpret numpy endianess/datatype from AMETEK defs.""" + byte_length = self.meta['i_data_type_size'] / 8 + assert self.meta['e_record_data_type'] in [1, 2, 3], 'Section ' \ + + np_uint16_to_string(self.meta['wc_section_type']) \ + + ' get_ametek_type() unsupported e_record_data_type!' + if self.meta['e_record_data_type'] == 1: + integer_dtypes = {2: ' np.uint64: + """Interpret how many quantities from AMETEK defs.""" + # this works only for one-to-one mapping ! + # AMETEK has not communicated if the designed adaptive storage layout + # for *.apt files has ever been implemented + return self.meta['ll_record_count'] \ + * np.uint64(self.meta['i_record_size'] / (self.meta['i_data_type_size'] / 8)) + + def get_ametek_shape(self) -> list: + """Interpret final numpy shape to use from AMETEK defs.""" + # this works only for one-to-one mapping ! + # AMETEK has not communicated if the designed adaptive storage layout + # for *.apt files has ever been implemented + return [ + np.uint64(self.meta['ll_record_count']), + np.uint64(np.uint64(self.meta['i_record_size']) / (self.meta['i_data_type_size'] / 8))] + + def matches(self, found_section: np.ndarray) -> bool: + """Compare a read section against expected versioning.""" + # check if the parsed section's metadata are matching + # AMETEK expectations, i.e. meeting manufacturers definitions? + assert np.array_equal(self.meta['c_signature'], found_section['cSignature'][0], + equal_nan=True), 'Section cSignature differs, \ + is ' + np_uint16_to_string(found_section['cSignature'][0]) \ + + ' but should be ' + np_uint16_to_string(self.c_signature) + + assert found_section['iHeaderSize'][0] == self.meta['i_header_size'], \ + 'Section iHeaderSize differs, is ' \ + + str(found_section['iHeaderSize'][0]) \ + + ' but should be ' + str(self.meta['i_header_size']) + + assert found_section['iHeaderVersion'][0] == self.meta['i_header_version'], \ + 'Section iHeaderVersion differs, is ' \ + + str(found_section['iHeaderVersion'][0]) \ + + ' but should be ' + str(self.meta['i_header_version']) + + assert found_section['iSectionVersion'][0] == self.meta['i_section_version'], \ + 'Section iSectionVersion differs, is ' \ + + str(found_section['iSectionVersion'][0]) \ + + ' but should be ' + str(self.meta['i_section_version']) + + assert found_section['eRelationshipType'][0] \ + == self.meta['e_relationship_type'], \ + 'Section eRelationshipType differs, is ' \ + + str(found_section['eRelationshipType'][0]) \ + + ' but should be ' + str(self.meta['e_relationship_type']) + + assert found_section['eRecordType'][0] == self.meta['e_record_type'], \ + 'Section eRecordType differs, is ' \ + + str(found_section['eRecordType'][0]) \ + + ' but should be ' + str(self.meta['e_record_type']) + + assert found_section['eRecordDataType'][0] \ + == self.meta['e_record_data_type'], \ + 'Section eRecordDataType differs, is ' \ + + str(found_section['eRecordDataType'][0]) \ + + ' but should be ' + str(self.meta['e_record_data_type']) + + assert found_section['iDataTypeSize'][0] == self.meta['i_data_type_size'], \ + 'Section iDataTypeSize differs, is ' \ + + str(found_section['iDataTypeSize'][0]) + ' but should be ' \ + + str(self.meta['i_data_type_size']) + + assert found_section['iRecordSize'][0] == self.meta['i_record_size'], \ + 'Section iRecordSize differs, is ' \ + + str(found_section['iRecordSize'][0]) + ' but should be ' \ + + str(self.meta['i_record_size']) + + # ureg = UnitRegistry() + # ureg.define('da = Da = amu') + # check if wcDataUnit is of correct quantity + assert np_uint16_to_string(found_section['wcDataUnit'][0]) \ + in self.accepted_units, 'Section wcDataUnit differs, is ' \ + + np_uint16_to_string(found_section['wcDataUnit'][0]) \ + + ' but should be from accepted_units: ' \ + + ', '.join(self.accepted_units) + # Q = ureg.Quantity(1, 'amu') + # use pint for checking compatible base unit + + # check also special cases which this parser currently cannot handle + # i.e. meeting what we as the community know about the format + # and thus can handle only + assert found_section['llByteCount'][0] > 0, \ + 'Section llByteCount indicates llByteCount is not > 0 !' + + # modify dynamic quanities that can only be inferred from the file + self.meta['ll_record_count'] = found_section['llRecordCount'][0] + self.meta['ll_byte_count'] = found_section['llByteCount'][0] + + return True + + def get_metadata(self) -> dict: + """Create dictionary of all AMETEK metadata of the section.""" + return \ + { + 'cSignature': np_uint16_to_string(self.meta['c_signature']), + 'iHeaderSize': self.meta['i_header_size'], + 'iHeaderVersion': self.meta['i_header_version'], + 'wcSectionType': np_uint16_to_string(self.meta['wc_section_type']), + 'iSectionVersion': self.meta['i_section_version'], + 'eRelationshipType': self.meta['e_relationship_type'], + 'eRecordType': self.meta['e_record_type'], + 'eRecordDataType': self.meta['e_record_data_type'], + 'iDataTypeSize': self.meta['i_data_type_size'], + 'iRecordSize': self.meta['i_record_size'], + 'wcDataUnit': np_uint16_to_string(self.meta['wc_data_unit']), + 'llRecordCount': self.meta['ll_record_count'], + 'llByteCount': self.meta['ll_byte_count'], + 'AmetekSize': self.get_ametek_size(), + 'AmetekType': self.get_ametek_type(), + 'AmetekCount': self.get_ametek_count(), + 'AmetekShape': ', '.join([str(x) + for x in self.get_ametek_shape()]) + } + + # def set_ll_record_count(self, value: int): + # assert isinstance(value, int), \ + # 'llRecordCount needs to be an int!' + # assert value >= 0, \ + # 'llRecordCount needs to be at least zero!' + # assert value <= np.iinfo(np.int64).max, 'llRecordCount needs to be \ + # at most '+(str(np.iinfo(np.int64).max))+'!' + # self.meta['ll_record_count'] = np.int64(0) + + # def set_ll_byte_count(self, value: int): + # assert isinstance(value, int), \ + # 'llByteCount needs to be an int!' + # assert value >= 0, \ + # 'llByteCount needs to be at least zero!' + # assert value <= np.iinfo(np.int64).max, 'llRecordCount needs to be \ + # at most '+(str(np.iinfo(np.int64).max))+'!' + # self.meta['ll_byte_count'] = np.int64(0) diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_sections_branches.py b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_sections_branches.py new file mode 100644 index 000000000..8a86f76e8 --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_sections_branches.py @@ -0,0 +1,698 @@ +#!/usr/bin/env python3 +"""AMETEK APT(6) data exchange file reader used by atom probe microscopists.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_apt6_sections \ + import AptFileSectionMetadata + + +# define which header and sections to expect in an *.apt file +# the sections below are referred to as branches in the commercial software +# APSuite enables users select prior I/O which of the sections to write +# normally a range file from based on the exchange with AMETEK and + +# in addition there is usually a sextet of preceeding IEEE 32-bit floats +# to the position section. This sextett encodes the min,max bounds of the point +# cloud in x, y, z direction respectively +# F. M. M. de Oliveira reported cases where *.apt from mere flat test runs, +# i.e. software sessions during which no reconstruction is performed +# this sextett is absent + +EXPECTED_SECTIONS = {} + +# most tested sections + +EXPECTED_SECTIONS['Position'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Position'].set_section_name('Position') +EXPECTED_SECTIONS['Position'].set_c_signature() +EXPECTED_SECTIONS['Position'].set_i_header_size(148 + 6 * 4) +# six 4 byte IEEE 32-bit floats are following immediately after a 'Position' +# section trailing the actual position value array +EXPECTED_SECTIONS['Position'].set_i_header_version(2) +EXPECTED_SECTIONS['Position'].set_wc_section_type('Position') +EXPECTED_SECTIONS['Position'].set_i_section_version(1) +EXPECTED_SECTIONS['Position'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Position'].set_e_record_type(1) +EXPECTED_SECTIONS['Position'].set_e_record_data_type(3) +EXPECTED_SECTIONS['Position'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Position'].set_i_record_size(12) +EXPECTED_SECTIONS['Position'].set_wc_data_unit('nm') +EXPECTED_SECTIONS['Position'].set_accepted_units(['nm']) + +EXPECTED_SECTIONS['Mass'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Mass'].set_section_name('Mass') +EXPECTED_SECTIONS['Mass'].set_c_signature() +EXPECTED_SECTIONS['Mass'].set_i_header_size(148) +EXPECTED_SECTIONS['Mass'].set_i_header_version(2) +EXPECTED_SECTIONS['Mass'].set_wc_section_type('Mass') +EXPECTED_SECTIONS['Mass'].set_i_section_version(1) +EXPECTED_SECTIONS['Mass'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Mass'].set_e_record_type(1) +EXPECTED_SECTIONS['Mass'].set_e_record_data_type(3) +EXPECTED_SECTIONS['Mass'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Mass'].set_i_record_size(4) +EXPECTED_SECTIONS['Mass'].set_wc_data_unit('Da') +EXPECTED_SECTIONS['Mass'].set_accepted_units(['da', 'Da', 'amu']) + +# M. K\"uhbach detected there are at least APSuite versions which write +# files with Da and some with da as wcDataUnits argument, it seems there +# was a source code change, we use pint to detect these issues and warn + +# sections which demand more testing with the parser + +EXPECTED_SECTIONS['z'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['z'].set_section_name('z') +EXPECTED_SECTIONS['z'].set_c_signature() +EXPECTED_SECTIONS['z'].set_i_header_size(148) +EXPECTED_SECTIONS['z'].set_i_header_version(2) +EXPECTED_SECTIONS['z'].set_wc_section_type('z') +EXPECTED_SECTIONS['z'].set_i_section_version(1) +EXPECTED_SECTIONS['z'].set_e_relationship_type(1) +EXPECTED_SECTIONS['z'].set_e_record_type(1) +EXPECTED_SECTIONS['z'].set_e_record_data_type(1) +EXPECTED_SECTIONS['z'].set_i_data_type_size(64) +EXPECTED_SECTIONS['z'].set_i_record_size(8) +EXPECTED_SECTIONS['z'].set_wc_data_unit('ions') +EXPECTED_SECTIONS['z'].set_accepted_units(['ions']) + +EXPECTED_SECTIONS['tof'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['tof'].set_section_name('tof') +EXPECTED_SECTIONS['tof'].set_c_signature() +EXPECTED_SECTIONS['tof'].set_i_header_size(148) +EXPECTED_SECTIONS['tof'].set_i_header_version(2) +EXPECTED_SECTIONS['tof'].set_wc_section_type('tof') +EXPECTED_SECTIONS['tof'].set_i_section_version(1) +EXPECTED_SECTIONS['tof'].set_e_relationship_type(1) +EXPECTED_SECTIONS['tof'].set_e_record_type(1) +EXPECTED_SECTIONS['tof'].set_e_record_data_type(3) +EXPECTED_SECTIONS['tof'].set_i_data_type_size(32) +EXPECTED_SECTIONS['tof'].set_i_record_size(4) +EXPECTED_SECTIONS['tof'].set_wc_data_unit('ns') +EXPECTED_SECTIONS['tof'].set_accepted_units(['ns']) + +EXPECTED_SECTIONS['Voltage'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Voltage'].set_section_name('Voltage') +EXPECTED_SECTIONS['Voltage'].set_c_signature() +EXPECTED_SECTIONS['Voltage'].set_i_header_size(148) +EXPECTED_SECTIONS['Voltage'].set_i_header_version(2) +EXPECTED_SECTIONS['Voltage'].set_wc_section_type('Voltage') +EXPECTED_SECTIONS['Voltage'].set_i_section_version(1) +EXPECTED_SECTIONS['Voltage'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Voltage'].set_e_record_type(1) +EXPECTED_SECTIONS['Voltage'].set_e_record_data_type(3) +EXPECTED_SECTIONS['Voltage'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Voltage'].set_i_record_size(4) +EXPECTED_SECTIONS['Voltage'].set_wc_data_unit('') + +EXPECTED_SECTIONS['pulse'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['pulse'].set_section_name('pulse') +EXPECTED_SECTIONS['pulse'].set_c_signature() +EXPECTED_SECTIONS['pulse'].set_i_header_size(148) +EXPECTED_SECTIONS['pulse'].set_i_header_version(2) +EXPECTED_SECTIONS['pulse'].set_wc_section_type('pulse') +EXPECTED_SECTIONS['pulse'].set_i_section_version(1) +EXPECTED_SECTIONS['pulse'].set_e_relationship_type(1) +EXPECTED_SECTIONS['pulse'].set_e_record_type(1) +EXPECTED_SECTIONS['pulse'].set_e_record_data_type(3) +EXPECTED_SECTIONS['pulse'].set_i_data_type_size(32) +EXPECTED_SECTIONS['pulse'].set_i_record_size(4) +EXPECTED_SECTIONS['pulse'].set_wc_data_unit('') + +EXPECTED_SECTIONS['freq'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['freq'].set_section_name('freq') +EXPECTED_SECTIONS['freq'].set_c_signature() +EXPECTED_SECTIONS['freq'].set_i_header_size(148) +EXPECTED_SECTIONS['freq'].set_i_header_version(2) +EXPECTED_SECTIONS['freq'].set_wc_section_type('freq') +EXPECTED_SECTIONS['freq'].set_i_section_version(1) +EXPECTED_SECTIONS['freq'].set_e_relationship_type(1) +EXPECTED_SECTIONS['freq'].set_e_record_type(1) +EXPECTED_SECTIONS['freq'].set_e_record_data_type(3) +EXPECTED_SECTIONS['freq'].set_i_data_type_size(32) +EXPECTED_SECTIONS['freq'].set_i_record_size(4) +EXPECTED_SECTIONS['freq'].set_wc_data_unit('Hz') +EXPECTED_SECTIONS['freq'].set_accepted_units(['Hz']) + +EXPECTED_SECTIONS['tElapsed'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['tElapsed'].set_section_name('tElapsed') +EXPECTED_SECTIONS['tElapsed'].set_c_signature() +EXPECTED_SECTIONS['tElapsed'].set_i_header_size(148) +EXPECTED_SECTIONS['tElapsed'].set_i_header_version(2) +EXPECTED_SECTIONS['tElapsed'].set_wc_section_type('tElapsed') +EXPECTED_SECTIONS['tElapsed'].set_i_section_version(1) +EXPECTED_SECTIONS['tElapsed'].set_e_relationship_type(1) +EXPECTED_SECTIONS['tElapsed'].set_e_record_type(1) +EXPECTED_SECTIONS['tElapsed'].set_e_record_data_type(3) +EXPECTED_SECTIONS['tElapsed'].set_i_data_type_size(32) +EXPECTED_SECTIONS['tElapsed'].set_i_record_size(4) +EXPECTED_SECTIONS['tElapsed'].set_wc_data_unit('') + +EXPECTED_SECTIONS['erate'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['erate'].set_section_name('erate') +EXPECTED_SECTIONS['erate'].set_c_signature() +EXPECTED_SECTIONS['erate'].set_i_header_size(148) +EXPECTED_SECTIONS['erate'].set_i_header_version(2) +EXPECTED_SECTIONS['erate'].set_wc_section_type('erate') +EXPECTED_SECTIONS['erate'].set_i_section_version(1) +EXPECTED_SECTIONS['erate'].set_e_relationship_type(1) +EXPECTED_SECTIONS['erate'].set_e_record_type(1) +EXPECTED_SECTIONS['erate'].set_e_record_data_type(3) +EXPECTED_SECTIONS['erate'].set_i_data_type_size(32) +EXPECTED_SECTIONS['erate'].set_i_record_size(4) +EXPECTED_SECTIONS['erate'].set_wc_data_unit('%/100') +EXPECTED_SECTIONS['erate'].set_accepted_units(['%/100']) + +EXPECTED_SECTIONS['xstage'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['xstage'].set_section_name('xstage') +EXPECTED_SECTIONS['xstage'].set_c_signature() +EXPECTED_SECTIONS['xstage'].set_i_header_size(148) +EXPECTED_SECTIONS['xstage'].set_i_header_version(2) +EXPECTED_SECTIONS['xstage'].set_wc_section_type('xstage') +EXPECTED_SECTIONS['xstage'].set_i_section_version(1) +EXPECTED_SECTIONS['xstage'].set_e_relationship_type(1) +EXPECTED_SECTIONS['xstage'].set_e_record_type(1) +EXPECTED_SECTIONS['xstage'].set_e_record_data_type(1) +EXPECTED_SECTIONS['xstage'].set_i_data_type_size(32) +EXPECTED_SECTIONS['xstage'].set_i_record_size(4) +EXPECTED_SECTIONS['xstage'].set_wc_data_unit('') + +EXPECTED_SECTIONS['ystage'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['ystage'].set_section_name('ystage') +EXPECTED_SECTIONS['ystage'].set_c_signature() +EXPECTED_SECTIONS['ystage'].set_i_header_size(148) +EXPECTED_SECTIONS['ystage'].set_i_header_version(2) +EXPECTED_SECTIONS['ystage'].set_wc_section_type('ystage') +EXPECTED_SECTIONS['ystage'].set_i_section_version(1) +EXPECTED_SECTIONS['ystage'].set_e_relationship_type(1) +EXPECTED_SECTIONS['ystage'].set_e_record_type(1) +EXPECTED_SECTIONS['ystage'].set_e_record_data_type(1) +EXPECTED_SECTIONS['ystage'].set_i_data_type_size(32) +EXPECTED_SECTIONS['ystage'].set_i_record_size(4) +EXPECTED_SECTIONS['ystage'].set_wc_data_unit('') + +EXPECTED_SECTIONS['zstage'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['zstage'].set_section_name('zstage') +EXPECTED_SECTIONS['zstage'].set_c_signature() +EXPECTED_SECTIONS['zstage'].set_i_header_size(148) +EXPECTED_SECTIONS['zstage'].set_i_header_version(2) +EXPECTED_SECTIONS['zstage'].set_wc_section_type('zstage') +EXPECTED_SECTIONS['zstage'].set_i_section_version(1) +EXPECTED_SECTIONS['zstage'].set_e_relationship_type(1) +EXPECTED_SECTIONS['zstage'].set_e_record_type(1) +EXPECTED_SECTIONS['zstage'].set_e_record_data_type(1) +EXPECTED_SECTIONS['zstage'].set_i_data_type_size(32) +EXPECTED_SECTIONS['zstage'].set_i_record_size(4) +EXPECTED_SECTIONS['zstage'].set_wc_data_unit('') + +EXPECTED_SECTIONS['tstage'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['tstage'].set_section_name('tstage') +EXPECTED_SECTIONS['tstage'].set_c_signature() +EXPECTED_SECTIONS['tstage'].set_i_header_size(148) +EXPECTED_SECTIONS['tstage'].set_i_header_version(2) +EXPECTED_SECTIONS['tstage'].set_wc_section_type('tstage') +EXPECTED_SECTIONS['tstage'].set_i_section_version(1) +EXPECTED_SECTIONS['tstage'].set_e_relationship_type(1) +EXPECTED_SECTIONS['tstage'].set_e_record_type(1) +EXPECTED_SECTIONS['tstage'].set_e_record_data_type(2) +EXPECTED_SECTIONS['tstage'].set_i_data_type_size(16) +EXPECTED_SECTIONS['tstage'].set_i_record_size(2) +EXPECTED_SECTIONS['tstage'].set_wc_data_unit('') + +EXPECTED_SECTIONS['TargetErate'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['TargetErate'].set_section_name('TargetErate') +EXPECTED_SECTIONS['TargetErate'].set_c_signature() +EXPECTED_SECTIONS['TargetErate'].set_i_header_size(148) +EXPECTED_SECTIONS['TargetErate'].set_i_header_version(2) +EXPECTED_SECTIONS['TargetErate'].set_wc_section_type('TargetErate') +EXPECTED_SECTIONS['TargetErate'].set_i_section_version(1) +EXPECTED_SECTIONS['TargetErate'].set_e_relationship_type(1) +EXPECTED_SECTIONS['TargetErate'].set_e_record_type(1) +EXPECTED_SECTIONS['TargetErate'].set_e_record_data_type(3) +EXPECTED_SECTIONS['TargetErate'].set_i_data_type_size(32) +EXPECTED_SECTIONS['TargetErate'].set_i_record_size(4) +EXPECTED_SECTIONS['TargetErate'].set_wc_data_unit('%/100') +EXPECTED_SECTIONS['TargetErate'].set_accepted_units(['%/100']) + +EXPECTED_SECTIONS['TargetFlux'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['TargetFlux'].set_section_name('TargetFlux') +EXPECTED_SECTIONS['TargetFlux'].set_c_signature() +EXPECTED_SECTIONS['TargetFlux'].set_i_header_size(148) +EXPECTED_SECTIONS['TargetFlux'].set_i_header_version(2) +EXPECTED_SECTIONS['TargetFlux'].set_wc_section_type('TargetFlux') +EXPECTED_SECTIONS['TargetFlux'].set_i_section_version(1) +EXPECTED_SECTIONS['TargetFlux'].set_e_relationship_type(1) +EXPECTED_SECTIONS['TargetFlux'].set_e_record_type(1) +EXPECTED_SECTIONS['TargetFlux'].set_e_record_data_type(3) +EXPECTED_SECTIONS['TargetFlux'].set_i_data_type_size(32) +EXPECTED_SECTIONS['TargetFlux'].set_i_record_size(4) +EXPECTED_SECTIONS['TargetFlux'].set_wc_data_unit('') + +EXPECTED_SECTIONS['pulseDelta'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['pulseDelta'].set_section_name('pulseDelta') +EXPECTED_SECTIONS['pulseDelta'].set_c_signature() +EXPECTED_SECTIONS['pulseDelta'].set_i_header_size(148) +EXPECTED_SECTIONS['pulseDelta'].set_i_header_version(2) +EXPECTED_SECTIONS['pulseDelta'].set_wc_section_type('pulseDelta') +EXPECTED_SECTIONS['pulseDelta'].set_i_section_version(1) +EXPECTED_SECTIONS['pulseDelta'].set_e_relationship_type(1) +EXPECTED_SECTIONS['pulseDelta'].set_e_record_type(1) +EXPECTED_SECTIONS['pulseDelta'].set_e_record_data_type(1) +EXPECTED_SECTIONS['pulseDelta'].set_i_data_type_size(16) +EXPECTED_SECTIONS['pulseDelta'].set_i_record_size(2) +EXPECTED_SECTIONS['pulseDelta'].set_wc_data_unit('') + +EXPECTED_SECTIONS['Pres'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Pres'].set_section_name('Pres') +EXPECTED_SECTIONS['Pres'].set_c_signature() +EXPECTED_SECTIONS['Pres'].set_i_header_size(148) +EXPECTED_SECTIONS['Pres'].set_i_header_version(2) +EXPECTED_SECTIONS['Pres'].set_wc_section_type('Pres') +EXPECTED_SECTIONS['Pres'].set_i_section_version(1) +EXPECTED_SECTIONS['Pres'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Pres'].set_e_record_type(1) +EXPECTED_SECTIONS['Pres'].set_e_record_data_type(3) +EXPECTED_SECTIONS['Pres'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Pres'].set_i_record_size(4) +EXPECTED_SECTIONS['Pres'].set_wc_data_unit('torr') +EXPECTED_SECTIONS['Pres'].set_accepted_units(['torr']) + +EXPECTED_SECTIONS['VAnodeMon'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['VAnodeMon'].set_section_name('VAnodeMon') +EXPECTED_SECTIONS['VAnodeMon'].set_c_signature() +EXPECTED_SECTIONS['VAnodeMon'].set_i_header_size(148) +EXPECTED_SECTIONS['VAnodeMon'].set_i_header_version(2) +EXPECTED_SECTIONS['VAnodeMon'].set_wc_section_type('VAnodeMon') +EXPECTED_SECTIONS['VAnodeMon'].set_i_section_version(1) +EXPECTED_SECTIONS['VAnodeMon'].set_e_relationship_type(1) +EXPECTED_SECTIONS['VAnodeMon'].set_e_record_type(1) +EXPECTED_SECTIONS['VAnodeMon'].set_e_record_data_type(3) +EXPECTED_SECTIONS['VAnodeMon'].set_i_data_type_size(32) +EXPECTED_SECTIONS['VAnodeMon'].set_i_record_size(4) +EXPECTED_SECTIONS['VAnodeMon'].set_wc_data_unit('') + +EXPECTED_SECTIONS['Temp'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Temp'].set_section_name('Temp') +EXPECTED_SECTIONS['Temp'].set_c_signature() +EXPECTED_SECTIONS['Temp'].set_i_header_size(148) +EXPECTED_SECTIONS['Temp'].set_i_header_version(2) +EXPECTED_SECTIONS['Temp'].set_wc_section_type('Temp') +EXPECTED_SECTIONS['Temp'].set_i_section_version(1) +EXPECTED_SECTIONS['Temp'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Temp'].set_e_record_type(1) +EXPECTED_SECTIONS['Temp'].set_e_record_data_type(3) +EXPECTED_SECTIONS['Temp'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Temp'].set_i_record_size(4) +EXPECTED_SECTIONS['Temp'].set_wc_data_unit('K') +EXPECTED_SECTIONS['Temp'].set_accepted_units(['K']) + + +EXPECTED_SECTIONS['AmbTemp'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['AmbTemp'].set_section_name('AmbTemp') +EXPECTED_SECTIONS['AmbTemp'].set_c_signature() +EXPECTED_SECTIONS['AmbTemp'].set_i_header_size(148) +EXPECTED_SECTIONS['AmbTemp'].set_i_header_version(2) +EXPECTED_SECTIONS['AmbTemp'].set_wc_section_type('AmbTemp') +EXPECTED_SECTIONS['AmbTemp'].set_i_section_version(1) +EXPECTED_SECTIONS['AmbTemp'].set_e_relationship_type(1) +EXPECTED_SECTIONS['AmbTemp'].set_e_record_type(1) +EXPECTED_SECTIONS['AmbTemp'].set_e_record_data_type(3) +EXPECTED_SECTIONS['AmbTemp'].set_i_data_type_size(32) +EXPECTED_SECTIONS['AmbTemp'].set_i_record_size(4) +EXPECTED_SECTIONS['AmbTemp'].set_wc_data_unit('C') +EXPECTED_SECTIONS['AmbTemp'].set_accepted_units(['C']) + +EXPECTED_SECTIONS['laserx'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['laserx'].set_section_name('laserx') +EXPECTED_SECTIONS['laserx'].set_c_signature() +EXPECTED_SECTIONS['laserx'].set_i_header_size(148) +EXPECTED_SECTIONS['laserx'].set_i_header_version(2) +EXPECTED_SECTIONS['laserx'].set_wc_section_type('laserx') +EXPECTED_SECTIONS['laserx'].set_i_section_version(1) +EXPECTED_SECTIONS['laserx'].set_e_relationship_type(1) +EXPECTED_SECTIONS['laserx'].set_e_record_type(1) +EXPECTED_SECTIONS['laserx'].set_e_record_data_type(1) +EXPECTED_SECTIONS['laserx'].set_i_data_type_size(32) +EXPECTED_SECTIONS['laserx'].set_i_record_size(4) +EXPECTED_SECTIONS['laserx'].set_wc_data_unit('') + +EXPECTED_SECTIONS['lasery'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['lasery'].set_section_name('lasery') +EXPECTED_SECTIONS['lasery'].set_c_signature() +EXPECTED_SECTIONS['lasery'].set_i_header_size(148) +EXPECTED_SECTIONS['lasery'].set_i_header_version(2) +EXPECTED_SECTIONS['lasery'].set_wc_section_type('lasery') +EXPECTED_SECTIONS['lasery'].set_i_section_version(1) +EXPECTED_SECTIONS['lasery'].set_e_relationship_type(1) +EXPECTED_SECTIONS['lasery'].set_e_record_type(1) +EXPECTED_SECTIONS['lasery'].set_e_record_data_type(1) +EXPECTED_SECTIONS['lasery'].set_i_data_type_size(32) +EXPECTED_SECTIONS['lasery'].set_i_record_size(4) +EXPECTED_SECTIONS['lasery'].set_wc_data_unit('') + +EXPECTED_SECTIONS['laserz'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['laserz'].set_section_name('laserz') +EXPECTED_SECTIONS['laserz'].set_c_signature() +EXPECTED_SECTIONS['laserz'].set_i_header_size(148) +EXPECTED_SECTIONS['laserz'].set_i_header_version(2) +EXPECTED_SECTIONS['laserz'].set_wc_section_type('laserz') +EXPECTED_SECTIONS['laserz'].set_i_section_version(1) +EXPECTED_SECTIONS['laserz'].set_e_relationship_type(1) +EXPECTED_SECTIONS['laserz'].set_e_record_type(1) +EXPECTED_SECTIONS['laserz'].set_e_record_data_type(1) +EXPECTED_SECTIONS['laserz'].set_i_data_type_size(32) +EXPECTED_SECTIONS['laserz'].set_i_record_size(4) +EXPECTED_SECTIONS['laserz'].set_wc_data_unit('') + +EXPECTED_SECTIONS['laserpower'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['laserpower'].set_section_name('laserpower') +EXPECTED_SECTIONS['laserpower'].set_c_signature() +EXPECTED_SECTIONS['laserpower'].set_i_header_size(148) +EXPECTED_SECTIONS['laserpower'].set_i_header_version(2) +EXPECTED_SECTIONS['laserpower'].set_wc_section_type('laserpower') +EXPECTED_SECTIONS['laserpower'].set_i_section_version(1) +EXPECTED_SECTIONS['laserpower'].set_e_relationship_type(1) +EXPECTED_SECTIONS['laserpower'].set_e_record_type(1) +EXPECTED_SECTIONS['laserpower'].set_e_record_data_type(3) +EXPECTED_SECTIONS['laserpower'].set_i_data_type_size(32) +EXPECTED_SECTIONS['laserpower'].set_i_record_size(4) +EXPECTED_SECTIONS['laserpower'].set_wc_data_unit('') + +EXPECTED_SECTIONS['FractureGuard'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['FractureGuard'].set_section_name('FractureGuard') +EXPECTED_SECTIONS['FractureGuard'].set_c_signature() +EXPECTED_SECTIONS['FractureGuard'].set_i_header_size(148) +EXPECTED_SECTIONS['FractureGuard'].set_i_header_version(2) +EXPECTED_SECTIONS['FractureGuard'].set_wc_section_type('FractureGuard') +EXPECTED_SECTIONS['FractureGuard'].set_i_section_version(1) +EXPECTED_SECTIONS['FractureGuard'].set_e_relationship_type(1) +EXPECTED_SECTIONS['FractureGuard'].set_e_record_type(1) +EXPECTED_SECTIONS['FractureGuard'].set_e_record_data_type(2) +EXPECTED_SECTIONS['FractureGuard'].set_i_data_type_size(16) +EXPECTED_SECTIONS['FractureGuard'].set_i_record_size(2) +EXPECTED_SECTIONS['FractureGuard'].set_wc_data_unit('') + +EXPECTED_SECTIONS['Noise'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Noise'].set_section_name('Noise') +EXPECTED_SECTIONS['Noise'].set_c_signature() +EXPECTED_SECTIONS['Noise'].set_i_header_size(148) +EXPECTED_SECTIONS['Noise'].set_i_header_version(2) +EXPECTED_SECTIONS['Noise'].set_wc_section_type('Noise') +EXPECTED_SECTIONS['Noise'].set_i_section_version(1) +EXPECTED_SECTIONS['Noise'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Noise'].set_e_record_type(1) +EXPECTED_SECTIONS['Noise'].set_e_record_data_type(3) +EXPECTED_SECTIONS['Noise'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Noise'].set_i_record_size(4) +EXPECTED_SECTIONS['Noise'].set_wc_data_unit('ions') +EXPECTED_SECTIONS['Noise'].set_accepted_units(['', 'ions']) + +EXPECTED_SECTIONS['Uniformity'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Uniformity'].set_section_name('Uniformity') +EXPECTED_SECTIONS['Uniformity'].set_c_signature() +EXPECTED_SECTIONS['Uniformity'].set_i_header_size(148) +EXPECTED_SECTIONS['Uniformity'].set_i_header_version(2) +EXPECTED_SECTIONS['Uniformity'].set_wc_section_type('Uniformity') +EXPECTED_SECTIONS['Uniformity'].set_i_section_version(1) +EXPECTED_SECTIONS['Uniformity'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Uniformity'].set_e_record_type(1) +EXPECTED_SECTIONS['Uniformity'].set_e_record_data_type(3) +EXPECTED_SECTIONS['Uniformity'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Uniformity'].set_i_record_size(4) +EXPECTED_SECTIONS['Uniformity'].set_wc_data_unit('') + +EXPECTED_SECTIONS['tofc'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['tofc'].set_section_name('tofc') +EXPECTED_SECTIONS['tofc'].set_c_signature() +EXPECTED_SECTIONS['tofc'].set_i_header_size(148) +EXPECTED_SECTIONS['tofc'].set_i_header_version(2) +EXPECTED_SECTIONS['tofc'].set_wc_section_type('tofc') +EXPECTED_SECTIONS['tofc'].set_i_section_version(1) +EXPECTED_SECTIONS['tofc'].set_e_relationship_type(1) +EXPECTED_SECTIONS['tofc'].set_e_record_type(1) +EXPECTED_SECTIONS['tofc'].set_e_record_data_type(3) +EXPECTED_SECTIONS['tofc'].set_i_data_type_size(32) +EXPECTED_SECTIONS['tofc'].set_i_record_size(4) +EXPECTED_SECTIONS['tofc'].set_wc_data_unit('ns') +EXPECTED_SECTIONS['tofc'].set_accepted_units(['ns']) + +EXPECTED_SECTIONS['tofb'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['tofb'].set_section_name('tofb') +EXPECTED_SECTIONS['tofb'].set_c_signature() +EXPECTED_SECTIONS['tofb'].set_i_header_size(148) +EXPECTED_SECTIONS['tofb'].set_i_header_version(2) +EXPECTED_SECTIONS['tofb'].set_wc_section_type('tofb') +EXPECTED_SECTIONS['tofb'].set_i_section_version(1) +EXPECTED_SECTIONS['tofb'].set_e_relationship_type(1) +EXPECTED_SECTIONS['tofb'].set_e_record_type(1) +EXPECTED_SECTIONS['tofb'].set_e_record_data_type(3) +EXPECTED_SECTIONS['tofb'].set_i_data_type_size(32) +EXPECTED_SECTIONS['tofb'].set_i_record_size(4) +EXPECTED_SECTIONS['tofb'].set_wc_data_unit('ns') +EXPECTED_SECTIONS['tofb'].set_accepted_units(['ns']) + +EXPECTED_SECTIONS['xs'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['xs'].set_section_name('xs') +EXPECTED_SECTIONS['xs'].set_c_signature() +EXPECTED_SECTIONS['xs'].set_i_header_size(148) +EXPECTED_SECTIONS['xs'].set_i_header_version(2) +EXPECTED_SECTIONS['xs'].set_wc_section_type('xs') +EXPECTED_SECTIONS['xs'].set_i_section_version(1) +EXPECTED_SECTIONS['xs'].set_e_relationship_type(1) +EXPECTED_SECTIONS['xs'].set_e_record_type(1) +EXPECTED_SECTIONS['xs'].set_e_record_data_type(3) +EXPECTED_SECTIONS['xs'].set_i_data_type_size(32) +EXPECTED_SECTIONS['xs'].set_i_record_size(4) +EXPECTED_SECTIONS['xs'].set_wc_data_unit('nm') +EXPECTED_SECTIONS['xs'].set_accepted_units(['nm']) + +EXPECTED_SECTIONS['ys'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['ys'].set_section_name('ys') +EXPECTED_SECTIONS['ys'].set_c_signature() +EXPECTED_SECTIONS['ys'].set_i_header_size(148) +EXPECTED_SECTIONS['ys'].set_i_header_version(2) +EXPECTED_SECTIONS['ys'].set_wc_section_type('ys') +EXPECTED_SECTIONS['ys'].set_i_section_version(1) +EXPECTED_SECTIONS['ys'].set_e_relationship_type(1) +EXPECTED_SECTIONS['ys'].set_e_record_type(1) +EXPECTED_SECTIONS['ys'].set_e_record_data_type(3) +EXPECTED_SECTIONS['ys'].set_i_data_type_size(32) +EXPECTED_SECTIONS['ys'].set_i_record_size(4) +EXPECTED_SECTIONS['ys'].set_wc_data_unit('nm') +EXPECTED_SECTIONS['ys'].set_accepted_units(['nm']) + +EXPECTED_SECTIONS['zs'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['zs'].set_section_name('zs') +EXPECTED_SECTIONS['zs'].set_c_signature() +EXPECTED_SECTIONS['zs'].set_i_header_size(148) +EXPECTED_SECTIONS['zs'].set_i_header_version(2) +EXPECTED_SECTIONS['zs'].set_wc_section_type('zs') +EXPECTED_SECTIONS['zs'].set_i_section_version(1) +EXPECTED_SECTIONS['zs'].set_e_relationship_type(1) +EXPECTED_SECTIONS['zs'].set_e_record_type(1) +EXPECTED_SECTIONS['zs'].set_e_record_data_type(3) +EXPECTED_SECTIONS['zs'].set_i_data_type_size(32) +EXPECTED_SECTIONS['zs'].set_i_record_size(4) +EXPECTED_SECTIONS['zs'].set_wc_data_unit('nm') +EXPECTED_SECTIONS['zs'].set_accepted_units(['nm']) + +EXPECTED_SECTIONS['rTip'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['rTip'].set_section_name('rTip') +EXPECTED_SECTIONS['rTip'].set_c_signature() +EXPECTED_SECTIONS['rTip'].set_i_header_size(148) +EXPECTED_SECTIONS['rTip'].set_i_header_version(2) +EXPECTED_SECTIONS['rTip'].set_wc_section_type('rTip') +EXPECTED_SECTIONS['rTip'].set_i_section_version(1) +EXPECTED_SECTIONS['rTip'].set_e_relationship_type(1) +EXPECTED_SECTIONS['rTip'].set_e_record_type(1) +EXPECTED_SECTIONS['rTip'].set_e_record_data_type(3) +EXPECTED_SECTIONS['rTip'].set_i_data_type_size(32) +EXPECTED_SECTIONS['rTip'].set_i_record_size(4) +EXPECTED_SECTIONS['rTip'].set_wc_data_unit('nm') +EXPECTED_SECTIONS['rTip'].set_accepted_units(['nm']) + +EXPECTED_SECTIONS['zApex'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['zApex'].set_section_name('zApex') +EXPECTED_SECTIONS['zApex'].set_c_signature() +EXPECTED_SECTIONS['zApex'].set_i_header_size(148) +EXPECTED_SECTIONS['zApex'].set_i_header_version(2) +EXPECTED_SECTIONS['zApex'].set_wc_section_type('zApex') +EXPECTED_SECTIONS['zApex'].set_i_section_version(1) +EXPECTED_SECTIONS['zApex'].set_e_relationship_type(1) +EXPECTED_SECTIONS['zApex'].set_e_record_type(1) +EXPECTED_SECTIONS['zApex'].set_e_record_data_type(3) +EXPECTED_SECTIONS['zApex'].set_i_data_type_size(32) +EXPECTED_SECTIONS['zApex'].set_i_record_size(4) +EXPECTED_SECTIONS['zApex'].set_wc_data_unit('nm') +EXPECTED_SECTIONS['zApex'].set_accepted_units(['nm']) + +EXPECTED_SECTIONS['zSphereCorr'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['zSphereCorr'].set_section_name('zSphereCorr') +EXPECTED_SECTIONS['zSphereCorr'].set_c_signature() +EXPECTED_SECTIONS['zSphereCorr'].set_i_header_size(148) +EXPECTED_SECTIONS['zSphereCorr'].set_i_header_version(2) +EXPECTED_SECTIONS['zSphereCorr'].set_wc_section_type('zSphereCorr') +EXPECTED_SECTIONS['zSphereCorr'].set_i_section_version(1) +EXPECTED_SECTIONS['zSphereCorr'].set_e_relationship_type(1) +EXPECTED_SECTIONS['zSphereCorr'].set_e_record_type(1) +EXPECTED_SECTIONS['zSphereCorr'].set_e_record_data_type(3) +EXPECTED_SECTIONS['zSphereCorr'].set_i_data_type_size(32) +EXPECTED_SECTIONS['zSphereCorr'].set_i_record_size(4) +EXPECTED_SECTIONS['zSphereCorr'].set_wc_data_unit('nm') +EXPECTED_SECTIONS['zSphereCorr'].set_accepted_units(['nm']) + +# the next three seem to (have been /were used for AMETEK development purposes +EXPECTED_SECTIONS['Position_0'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Position_0'].set_section_name('Position_0') +EXPECTED_SECTIONS['Position_0'].set_c_signature() +EXPECTED_SECTIONS['Position_0'].set_i_header_size(148 + 6 * 4) +EXPECTED_SECTIONS['Position_0'].set_i_header_version(2) +EXPECTED_SECTIONS['Position_0'].set_wc_section_type('Position_0') +EXPECTED_SECTIONS['Position_0'].set_i_section_version(1) +EXPECTED_SECTIONS['Position_0'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Position_0'].set_e_record_type(1) +EXPECTED_SECTIONS['Position_0'].set_e_record_data_type(3) +EXPECTED_SECTIONS['Position_0'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Position_0'].set_i_record_size(12) +EXPECTED_SECTIONS['Position_0'].set_wc_data_unit('') + +EXPECTED_SECTIONS['Position_1'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Position_1'].set_section_name('Position_1') +EXPECTED_SECTIONS['Position_1'].set_c_signature() +EXPECTED_SECTIONS['Position_1'].set_i_header_size(148 + 6 * 4) +EXPECTED_SECTIONS['Position_1'].set_i_header_version(2) +EXPECTED_SECTIONS['Position_1'].set_wc_section_type('Position_1') +EXPECTED_SECTIONS['Position_1'].set_i_section_version(1) +EXPECTED_SECTIONS['Position_1'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Position_1'].set_e_record_type(1) +EXPECTED_SECTIONS['Position_1'].set_e_record_data_type(3) +EXPECTED_SECTIONS['Position_1'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Position_1'].set_i_record_size(12) +EXPECTED_SECTIONS['Position_1'].set_wc_data_unit('') + +EXPECTED_SECTIONS['Position_2'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Position_2'].set_section_name('Position_2') +EXPECTED_SECTIONS['Position_2'].set_c_signature() +EXPECTED_SECTIONS['Position_2'].set_i_header_size(148 + 6 * 4) +EXPECTED_SECTIONS['Position_2'].set_i_header_version(2) +EXPECTED_SECTIONS['Position_2'].set_wc_section_type('Position_2') +EXPECTED_SECTIONS['Position_2'].set_i_section_version(1) +EXPECTED_SECTIONS['Position_2'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Position_2'].set_e_record_type(1) +EXPECTED_SECTIONS['Position_2'].set_e_record_data_type(3) +EXPECTED_SECTIONS['Position_2'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Position_2'].set_i_record_size(12) +EXPECTED_SECTIONS['Position_2'].set_wc_data_unit('') + +EXPECTED_SECTIONS['XDet_mm'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['XDet_mm'].set_section_name('XDet_mm') +EXPECTED_SECTIONS['XDet_mm'].set_c_signature() +EXPECTED_SECTIONS['XDet_mm'].set_i_header_size(148) +EXPECTED_SECTIONS['XDet_mm'].set_i_header_version(2) +EXPECTED_SECTIONS['XDet_mm'].set_wc_section_type('XDet_mm') +EXPECTED_SECTIONS['XDet_mm'].set_i_section_version(1) +EXPECTED_SECTIONS['XDet_mm'].set_e_relationship_type(1) +EXPECTED_SECTIONS['XDet_mm'].set_e_record_type(1) +EXPECTED_SECTIONS['XDet_mm'].set_e_record_data_type(3) +EXPECTED_SECTIONS['XDet_mm'].set_i_data_type_size(32) +EXPECTED_SECTIONS['XDet_mm'].set_i_record_size(4) +EXPECTED_SECTIONS['XDet_mm'].set_wc_data_unit('mm') +EXPECTED_SECTIONS['XDet_mm'].set_accepted_units(['mm']) + +EXPECTED_SECTIONS['YDet_mm'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['YDet_mm'].set_section_name('YDet_mm') +EXPECTED_SECTIONS['YDet_mm'].set_c_signature() +EXPECTED_SECTIONS['YDet_mm'].set_i_header_size(148) +EXPECTED_SECTIONS['YDet_mm'].set_i_header_version(2) +EXPECTED_SECTIONS['YDet_mm'].set_wc_section_type('YDet_mm') +EXPECTED_SECTIONS['YDet_mm'].set_i_section_version(1) +EXPECTED_SECTIONS['YDet_mm'].set_e_relationship_type(1) +EXPECTED_SECTIONS['YDet_mm'].set_e_record_type(1) +EXPECTED_SECTIONS['YDet_mm'].set_e_record_data_type(3) +EXPECTED_SECTIONS['YDet_mm'].set_i_data_type_size(32) +EXPECTED_SECTIONS['YDet_mm'].set_i_record_size(4) +EXPECTED_SECTIONS['YDet_mm'].set_wc_data_unit('mm') +EXPECTED_SECTIONS['YDet_mm'].set_accepted_units(['mm']) + +EXPECTED_SECTIONS['Multiplicity'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Multiplicity'].set_section_name('Multiplicity') +EXPECTED_SECTIONS['Multiplicity'].set_c_signature() +EXPECTED_SECTIONS['Multiplicity'].set_i_header_size(148) +EXPECTED_SECTIONS['Multiplicity'].set_i_header_version(2) +EXPECTED_SECTIONS['Multiplicity'].set_wc_section_type('Multiplicity') +EXPECTED_SECTIONS['Multiplicity'].set_i_section_version(1) +EXPECTED_SECTIONS['Multiplicity'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Multiplicity'].set_e_record_type(1) +EXPECTED_SECTIONS['Multiplicity'].set_e_record_data_type(1) +EXPECTED_SECTIONS['Multiplicity'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Multiplicity'].set_i_record_size(4) +EXPECTED_SECTIONS['Multiplicity'].set_wc_data_unit('') + +EXPECTED_SECTIONS['Vap'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Vap'].set_section_name('Vap') +EXPECTED_SECTIONS['Vap'].set_c_signature() +EXPECTED_SECTIONS['Vap'].set_i_header_size(148) +EXPECTED_SECTIONS['Vap'].set_i_header_version(2) +EXPECTED_SECTIONS['Vap'].set_wc_section_type('Vap') +EXPECTED_SECTIONS['Vap'].set_i_section_version(1) +EXPECTED_SECTIONS['Vap'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Vap'].set_e_record_type(1) +EXPECTED_SECTIONS['Vap'].set_e_record_data_type(3) +EXPECTED_SECTIONS['Vap'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Vap'].set_i_record_size(4) +EXPECTED_SECTIONS['Vap'].set_wc_data_unit('V') +EXPECTED_SECTIONS['Vap'].set_accepted_units(['V']) + +EXPECTED_SECTIONS['Detector Coordinates'] = AptFileSectionMetadata() +EXPECTED_SECTIONS['Detector Coordinates'].set_section_name( + 'Detector Coordinates') +EXPECTED_SECTIONS['Detector Coordinates'].set_c_signature() +EXPECTED_SECTIONS['Detector Coordinates'].set_i_header_size(148) +EXPECTED_SECTIONS['Detector Coordinates'].set_i_header_version(2) +EXPECTED_SECTIONS['Detector Coordinates'].set_wc_section_type( + 'Detector Coordinates') +EXPECTED_SECTIONS['Detector Coordinates'].set_i_section_version(1) +EXPECTED_SECTIONS['Detector Coordinates'].set_e_relationship_type(1) +EXPECTED_SECTIONS['Detector Coordinates'].set_e_record_type(1) +EXPECTED_SECTIONS['Detector Coordinates'].set_e_record_data_type(3) +EXPECTED_SECTIONS['Detector Coordinates'].set_i_data_type_size(32) +EXPECTED_SECTIONS['Detector Coordinates'].set_i_record_size(8) +EXPECTED_SECTIONS['Detector Coordinates'].set_wc_data_unit('mm') +EXPECTED_SECTIONS['Detector Coordinates'].set_accepted_units(['mm']) + +# there is at least a hint that some time ago this section's wcDataUnit was '' + + +# sections whose formatting and purpose is completely unclear + +# Var44 ? magic-in-action? M. K\"uhbach, could well for AMETEK development only +# EXPECTED_SECTIONS['Var44'].set_section_name('Var44') + + +# deprecated sections +# EXPECTED_SECTIONS['Vref'] = AptFileSectionMetadata() # now 'Voltage' + + +# other comments and issues +# Need to check APSuite version and build number +# 'Voltage' section, M. K\uhbach: expect to have units but example *.apt files +# from flat test do not encode a unit in the 'Voltage' section diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_utils.py b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_utils.py new file mode 100644 index 000000000..50f6cc3ba --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_apt6_utils.py @@ -0,0 +1,49 @@ +#!/usr/bin/env python3 +"""AMETEK APT(6) data exchange file reader used by atom probe microscopists.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + + +# from .nomad4exp_process_aptfim_utils import * + +import numpy as np + + +def np_uint16_to_string(uint16_array: np.ndarray) -> str: + """Create string from array of uint16 numbers (UTF-16).""" + str_parsed = '' + for value in uint16_array: + if value != 0: # '\x00' + str_parsed += chr(value) + return np.str(str_parsed) + + +def string_to_typed_nparray(string: str, length: int, + dtype: np.dtype = np.uint8) -> np.ndarray: + """Create fixed length np.uint16 numpy array from string.""" + assert dtype is not None, 'dtype must not be None!' + assert len(string) <= length, 'Input string is longer than \ + number of array elements !' + nparray = np.zeros(length, dtype) + for value in np.arange(0, len(string)): + nparray[value] = ord(string[value]) + return nparray diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_epos_reader.py b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_epos_reader.py new file mode 100644 index 000000000..9d5128418 --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_epos_reader.py @@ -0,0 +1,180 @@ +#!/usr/bin/env python3 +"""ePOS file format reader used by atom probe microscopists.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +import os + +import numpy as np + +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_utils \ + import NxField, get_memory_mapped_data + + +class ReadEposFileFormat(): + """Read *.epos file format.""" + + def __init__(self, filename: str): + assert len(filename) > 5, 'ePOS file incorrect filename ending!' + assert filename.lower().endswith('.epos'), \ + 'ePOS file incorrect file type!' + self.filename = filename + + self.filesize = os.path.getsize(self.filename) + assert self.filesize % 11 * 4 == 0, \ + 'ePOS filesize not integer multiple of 11*4B!' + assert np.uint32(self.filesize / (11 * 4)) < np.iinfo(np.uint32).max, \ + 'ePOS file is too large, currently only 2*32 supported!' + self.number_of_events = np.uint32(self.filesize / (11 * 4)) + + self.epos = {} + + # https://doi.org/10.1007/978-1-4614-3436-8 for file format details + # dtyp_names = ['Reconstructed position along the x-axis (nm)', + # 'Reconstructed position along the y-axis (nm)', + # 'Reconstructed position along the z-axis (nm)', + # 'Reconstructed mass-to-charge-state ratio (Da)', + # 'Raw time-of-flight (ns)', + # 'Standing voltage (V)', + # 'Pulsed voltage (V)', + # 'Ion impact x-coordinate at the detector (mm)', + # 'Ion impact y-coordinate at the detector (mm)', + # 'Number of pulses since the last detected ion (pulses)', + # 'Hit multiplicity (ions)'] + # raw = np.fromfile( fnm, dtype= {'names': dtyp_names, + # 'formats': (, '>f4','>f4','>f4','>f4','>f4','>f4','>u4','>u4') } ) + + def get_reconstructed_positions(self): + """Read xyz columns.""" + # self.epos['reconstructed_positions'] = NxField() + xyz = NxField() + xyz.value = np.zeros([self.number_of_events, 3], np.float32) + xyz.unit = 'nm' + + xyz.value[:, 0] = \ + get_memory_mapped_data(self.filename, '>f4', + 0 * 4, 11 * 4, self.number_of_events) # x + xyz.value[:, 1] = \ + get_memory_mapped_data(self.filename, '>f4', + 1 * 4, 11 * 4, self.number_of_events) # y + xyz.value[:, 2] = \ + get_memory_mapped_data(self.filename, '>f4', + 2 * 4, 11 * 4, self.number_of_events) # z + return xyz + + def get_mass_to_charge(self): + """Read mass-to-charge column.""" + m_n = NxField() + m_n.value = np.zeros([self.number_of_events, 1], np.float32) + m_n.unit = 'Da' + + m_n.value[:, 0] = \ + get_memory_mapped_data(self.filename, '>f4', + 3 * 4, 11 * 4, self.number_of_events) + return m_n + + def get_raw_time_of_flight(self): + """Read raw (uncorrected) time-of-flight.""" + raw_tof = NxField() + raw_tof.value = np.zeros([self.number_of_events, 1], np.float32) + raw_tof.unit = 'ns' + + # according to DOI: 10.1007/978-1-4899-7430-3 raw time-of-flight + # i.e. this is an uncorrected time-of-flight + # for which effects uncorrect? + # Only the proprietary IVAS/APSuite source code knows for sure + raw_tof.value[:, 0] = \ + get_memory_mapped_data(self.filename, '>f4', + 4 * 4, 11 * 4, self.number_of_events) + return raw_tof + + def get_standing_voltage(self): + """Read standing voltage.""" + # according to DOI: 10.1007/978-1-4899-7430-3 + # standing voltage on the specimen + # according to DOI: 10.1007/978-1-4614-8721-0 also-known as DC voltage + dc_voltage = NxField() + dc_voltage.value = np.zeros([self.number_of_events, 1], np.float32) + dc_voltage.unit = 'kV' + # different to the above-mentioned references Gault et al. state + # that standing and pulse_voltage are in V instead of kV + + dc_voltage.value[:, 0] = \ + get_memory_mapped_data(self.filename, '>f4', + 5 * 4, 11 * 4, self.number_of_events) + return dc_voltage + + def get_pulse_voltage(self): + """Read pulse voltage.""" + # according to DOI: 10.1007/978-1-4899-7430-3 + # additional voltage to trigger field evaporation in case + # of high-voltage pulsing, 0 for laser pulsing + pu_voltage = NxField() + pu_voltage.value = np.zeros([self.number_of_events, 1], np.float32) + pu_voltage.unit = 'kV' + + pu_voltage.value[:, 0] = \ + get_memory_mapped_data(self.filename, '>f4', + 6 * 4, 11 * 4, self.number_of_events) + return pu_voltage + + def get_hit_positions(self): + """Read ion impact positions on detector.""" + hit_positions = NxField() + hit_positions.value = np.zeros([self.number_of_events, 2], np.float32) + hit_positions.unit = 'mm' + + hit_positions.value[:, 0] = \ + get_memory_mapped_data(self.filename, '>f4', + 7 * 4, 11 * 4, self.number_of_events) # x + hit_positions.value[:, 1] = \ + get_memory_mapped_data(self.filename, '>f4', + 8 * 4, 11 * 4, self.number_of_events) # y + return hit_positions + + def get_number_of_pulses(self): + """Read number of pulses.""" + # according to DOI: 10.1007/978-1-4899-7430-3 + # number of pulses since last event detected + # 0 after the first ion per pulse + # also known as $\Delta Pulse$ + npulses = NxField() + npulses.value = np.zeros([self.number_of_events, 1], np.uint32) + npulses.unit = '' + + npulses.value[:, 0] = \ + get_memory_mapped_data(self.filename, '>u4', + 9 * 4, 11 * 4, self.number_of_events) + return npulses + + def get_ions_per_pulse(self): + """Read ions per pulse.""" + # according to DOI: 10.1007/978-1-4899-7430-3 + # ions per pulse, 0 after the first ion + ions_per_pulse = NxField() + ions_per_pulse.value = np.zeros([self.number_of_events, 1], np.uint32) + ions_per_pulse.unit = '' + + ions_per_pulse.value[:, 0] = \ + get_memory_mapped_data(self.filename, '>u4', + 10 * 4, 11 * 4, self.number_of_events) + return ions_per_pulse diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_ods2metadata.py b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_ods2metadata.py new file mode 100644 index 000000000..9b4de983e --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_ods2metadata.py @@ -0,0 +1,83 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- + +# ##MK add license + +"""Parse LibreCalc/Excel table into JSON template dictionary.""" + +import json + +import pandas as pd + +import numpy as np + +# create a json dictionary with all those entries of the NXDL +# for which the metadata/data can not be extracted from files but +# need to be specified by other means (e.g. human, control software, +# external databases) + +# MYPREFIX='C:/Users/kuehbacm/Research/HU_HU_HU/FAIRmatSoftwareDevelopment/Sprint05/' +# sys.path.append(MYPREFIX) +PREFIX = '' +TESTFILE = 'NXapm.nxdl.Template.InformationSources.ods' + +DEFAULTS = {'NX_FLOAT': 0., + 'NX_CHAR': 'specify', + 'NX_INT': 0, + 'NX_UINT': 0, + 'NX_POSINT': 0, + 'NX_BOOLEAN': False, + 'NX_NUMBER': 0, + 'NX_DATE_TIME': '2009-06-30T18:30:00+02:00'} + +# NEW ISSUE: make this a function call and become integrated into the apm reader + + +def ods_to_json_metadata_template(file_name): + """Parse LibreCalc/Excel table into JSON template dictionary.""" + # file_name = PREFIX + TESTFILE + tmp = pd.read_excel(file_name, sheet_name='Sheet1', engine="odf", + skiprows=2, keep_default_na=False, na_values=['_']) + + other_data_sources = {} + vendor_files_sources = {} + + for rowidx in np.arange(0, tmp.shape[0]): + nxdl_dtype = tmp.iloc[rowidx, 8] + nxdl_enum = tmp.iloc[rowidx, 9] + nxdl_path = tmp.iloc[rowidx, 10] + nxdl_use = tmp.iloc[rowidx, 11] + + assert nxdl_use in [0, 1], \ + print("nxdl_use is not 0 or 1!") + + if nxdl_use == 1: + print(nxdl_path) + assert nxdl_dtype in DEFAULTS.keys(), \ + 'Unresolvable nxdl_dtype ' + nxdl_dtype + ' !' + if nxdl_enum == '': + other_data_sources[nxdl_path] = DEFAULTS[nxdl_dtype] + else: + other_data_sources[nxdl_path] = nxdl_enum + else: + print(nxdl_path) + assert nxdl_dtype in DEFAULTS.keys(), \ + 'Unresolvable nxdl_dtype ' + nxdl_dtype + ' !' + if nxdl_enum == '': + vendor_files_sources[nxdl_path] = DEFAULTS[nxdl_dtype] + else: + vendor_files_sources[nxdl_path] = nxdl_enum + + with open(file_name + '.OtherMetaDataDefaults.json', 'w', encoding='utf-8') \ + as file_handle: + json.dump(other_data_sources, file_handle, + ensure_ascii=False, indent=4) + # ManuallyCollectedMetadata + + with open(file_name + '.FileParseableDefaults.json', 'w', encoding='utf-8') \ + as file_handle: + json.dump(vendor_files_sources, file_handle, + ensure_ascii=False, indent=4) + + +ods_to_json_metadata_template(PREFIX + TESTFILE) diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_pos_reader.py b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_pos_reader.py new file mode 100644 index 000000000..9489c1925 --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_pos_reader.py @@ -0,0 +1,85 @@ +#!/usr/bin/env python3 +"""POS file format reader used by atom probe microscopists.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +import os + +import numpy as np + +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_utils \ + import NxField, get_memory_mapped_data + + +class ReadPosFileFormat(): + """Read *.pos file format.""" + + def __init__(self, filename: str): + assert len(filename) > 4, 'POS file incorrect filename ending!' + assert filename.lower().endswith('.pos'), \ + 'POS file incorrect file type!' + self.filename = filename + + self.filesize = os.path.getsize(self.filename) + assert self.filesize % 4 * 4 == 0, \ + 'POS filesize not integer multiple of 4*4B!' + assert np.uint32(self.filesize / (4 * 4)) < np.iinfo(np.uint32).max, \ + 'POS file is too large, currently only 2*32 supported!' + self.number_of_events = np.uint32(self.filesize / (4 * 4)) + + self.pos = {} + + # https://doi.org/10.1007/978-1-4614-3436-8 for file format details + # dtyp_names = ['Reconstructed position along the x-axis (nm)', + # 'Reconstructed position along the y-axis (nm)', + # 'Reconstructed position along the z-axis (nm)', + # 'Reconstructed mass-to-charge-state ratio (Da)'] + + def get_reconstructed_positions(self): + """Read xyz columns.""" + # self.pos['reconstructed_positions'] = NxField() + xyz = NxField() + xyz.value = np.zeros([self.number_of_events, 3], np.float32) + xyz.unit = 'nm' + + xyz.value[:, 0] = \ + get_memory_mapped_data(self.filename, '>f4', + 0 * 4, 4 * 4, self.number_of_events) # x + xyz.value[:, 1] = \ + get_memory_mapped_data(self.filename, '>f4', + 1 * 4, 4 * 4, self.number_of_events) # y + xyz.value[:, 2] = \ + get_memory_mapped_data(self.filename, '>f4', + 2 * 4, 4 * 4, self.number_of_events) # z + return xyz + + def get_mass_to_charge(self): + """Read mass-to-charge column.""" + # self.pos['mass_to_charge_state_ratios'] = NxField() + m_n = NxField() + m_n.value = np.zeros([self.number_of_events, 1], np.float32) + m_n.unit = 'Da' + + m_n.value[:, 0] = \ + get_memory_mapped_data(self.filename, '>f4', + 3 * 4, 4 * 4, self.number_of_events) + return m_n diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_rng_reader.py b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_rng_reader.py new file mode 100644 index 000000000..9a064a071 --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_rng_reader.py @@ -0,0 +1,166 @@ +#!/usr/bin/env python3 +"""RNG range file reader used by atom probe microscopists.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +import re + +import numpy as np + +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_utils \ + import NxField, NxIon, significant_range, create_isotope_vector, \ + isotope_vector_to_dict_keyword + + +def evaluate_rng_range_line( + i: int, line: str, column_id_to_label: dict, number_of_columns: int) -> dict: + """Represent information content of a single range line.""" + # example line: '. 107.7240 108.0960 1 0 0 0 0 0 0 0 0 0 3 0 0 0' + info = {} + info['identifier'] = 'Range' + str(i) + info['range'] = None + info['comp'] = [] + info['color'] = None # do not parse out user-defined color + + tmp = re.split(r'\s+', line) + assert len(tmp) is number_of_columns, 'Line ' + line \ + + ' inconsistent number columns!' + assert tmp[0] == '.', 'Line ' + line + ' has inconsistent line prefix!' + + assert significant_range( + np.float64(tmp[1]), np.float64(tmp[2])), \ + 'Line ' + line + ' insignificant range!' + info['range'] = np.float64(np.asarray([tmp[1], tmp[2]])) + + # line encodes multiplicity of element via array of multiplicity counts + flags_all = np.asarray(tmp[3:len(tmp)], np.uint32) + if np.sum(flags_all) > 0: + for j in np.arange(0, len(flags_all)): + assert flags_all[j] >= 0, 'Line ' + line \ + + ' no negative element counts!' + if flags_all[j] > 0: + info['comp'] += [column_id_to_label[j + 1]] * flags_all[j] + else: + raise ValueError('Line ' + line + ' no element counts!') + return info + + +def evaluate_rng_ion_type_header(line: str) -> dict: + """Represent information content in the key header line.""" + # line = '------------------- Fe Mg Al Mn Si V C Ga Ti Ca O Na Co H' + info = {} + info['column_id_to_label'] = {} + tmp = re.split(r'\s+', line) + assert len(tmp) > 1, 'RNG file does not contain iontype labels!' + for i in np.arange(1, len(tmp)): + info['column_id_to_label'][i] = tmp[i] + return info + + +class ReadRngFileFormat(): + """Read *.rng file format.""" + + def __init__(self, filename: str): + assert len(filename) > 4, 'RNG file incorrect filename ending!' + assert filename.lower().endswith('.rng'), \ + 'RNG file incorrect file type!' + self.filename = filename + + self.rng = {} + self.rng['ions'] = {} + self.rng['ranges'] = {} + + def read(self): + """Read RNG range file content.""" + with open(self.filename, mode='r', encoding='utf8') as rngf: + txt = rngf.read() + + txt = txt.replace('\r\n', '\n') # windows to unix EOL conversion + txt = txt.replace(',', '.') # use decimal dots instead of comma + txt_stripped = [line for line in txt.split('\n') + if line.strip() != '' and line.startswith('#') is False] + del txt + + # see DOI: 10.1007/978-1-4899-7430-3 for further details to this + # Oak Ridge National Lab / Oxford *.rng file format + # only the first ------ line is relevant + # it details all ion labels aka ions + # AMETEK's IVAS/APSuite-specific trailing + # polyatomic extension is redundant info + + tmp = None + current_line_id = int(0) # search key header line + for line in txt_stripped: + tmp = re.search(r'----', line) + if tmp is None: + current_line_id += int(1) + else: + break + assert tmp is not None, 'RNG file does not contain key header line!' + + header = evaluate_rng_ion_type_header(txt_stripped[current_line_id]) + + tmp = re.split(r'\s+', txt_stripped[0]) + assert tmp[0].isnumeric() is True, 'Number of species corrupted!' + number_of_atom_types = int(tmp[0]) + assert number_of_atom_types >= 0, 'No species defined!' + assert tmp[1].isnumeric() is True, 'Number of ranges corrupted!' + number_of_ion_types = int(tmp[1]) + assert number_of_ion_types >= 0, 'No ranges defined!' + + for i in np.arange(current_line_id + 1, + current_line_id + 1 + number_of_ion_types): + obj = evaluate_rng_range_line( + i - current_line_id, txt_stripped[i], + header['column_id_to_label'], + number_of_atom_types + 3) + + assert obj is not None, \ + 'Line ' + txt_stripped[i] + ' is corrupted!' + self.rng['ranges'][obj['identifier']] = obj + + for obj in self.rng['ranges'].values(): + hashvector = create_isotope_vector(obj['comp']) + keyword = isotope_vector_to_dict_keyword(hashvector) + + if keyword not in self.rng['ions'].keys(): + self.rng['ions'][keyword] = NxIon() + self.rng['ions'][keyword].name = NxField(keyword, None) + self.rng['ions'][keyword].charge_state = \ + NxField(np.int32(0), '') + # RNG files do not store charge state + self.rng['ions'][keyword].isotope_vector = \ + NxField(hashvector, None) + + self.rng['ions'][keyword].add_range( + obj['range'][0], obj['range'][1]) + + def report_range(self): + """Summarize content in a range file.""" + print(self.rng['ions']) + print(self.rng['ranges']) + + +if __name__ == 'main': + pass + # testing + # parsedFile = ReadRngFileFormat('../../SeHoKim_R5076_44076_v02.rng') diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_rrng_reader.py b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_rrng_reader.py new file mode 100644 index 000000000..1075b7726 --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_rrng_reader.py @@ -0,0 +1,189 @@ +#!/usr/bin/env python3 +"""RRNG range file reader used by atom probe microscopists.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +import re + +import numpy as np + +from nexusparser.tools.dataconverter.readers.apm.utils.aptfim_io_utils \ + import NxField, NxIon, significant_range, create_isotope_vector, isotope_vector_to_dict_keyword + + +def evaluate_rrng_range_line(i: int, line: str, ion_type_names: list) -> dict: + """Evaluate information content of a single range line.""" + # example line 'Range7 = 42.8160 43.3110 vol:0.04543 + # Al:1 O:1 Name: AlO Color:00FFFF' + # according to DOI: 10.1007/978-1-4614-8721-0 + # mqmin, mqmax, vol, ion composition is required, + # name and color fields are optional + info = {} + info['identifier'] = 'Range' + str(i) + info['range'] = None + info['comp'] = [] + info['volume'] = None # do not parse out volume + info['color'] = None # do not parse out user-defined color + + tmp = re.split(r'[\s=]+', line) + assert len(tmp) >= 6, 'Line ' + line + \ + ' does not contain all required fields!' + assert tmp[0] == 'Range' + str(i), 'Line ' + line + \ + ' has inconsistent line prefix!' + + assert significant_range(np.float64(tmp[1]), np.float64(tmp[2])), \ + 'Line ' + line + ' insignificant range!' + info['range'] = np.float64(np.asarray([tmp[1], tmp[2]])) + + # assert tmp[3].lower().startswith('vol:'), 'Line ' + line + \ + # ' vol syntax corrupted!' + # V = re.split(r':', tmp[3])[1] + # assert tmp[-1].lower().startswith('color:'), 'Line ' + line + \ + # ' color syntax corrupted!' + # if tmp[-1].lower().startswith('color:') and len(re.split(r':', + # tmp[-1])[1]) == 6 and self.color = '#' + re.split(r':', tmp[-1])[1] + # HEX_COLOR_REGEX = r'^([A-Fa-f0-9]{6}|[A-Fa-f0-9]{3})$' + # replace r'^#( ... + # regexp = re.compile(HEX_COLOR_REGEX) + # if regexp.search(tmp[-1].split(r':')): + + for information in tmp[4:-1]: + ion_type_multiplicity = re.split(r':+', information) + assert len(ion_type_multiplicity) == 2, \ + 'Information incorrectly formatted!' + # skip vol, namee, and color information + if ion_type_multiplicity[0].lower() \ + not in ['vol', 'color', 'name']: + assert ion_type_multiplicity[0] in ion_type_names, \ + 'Line ' + line + ' unknown iontype!' + assert np.uint32(ion_type_multiplicity[1]) > 0, \ + 'Line ' + line + ' zero or negative multiplicity!' + assert np.uint32(ion_type_multiplicity[1]) < 256, \ + 'Line ' + line + ' unsupport high multiplicity!' + info['comp'] += [ion_type_multiplicity[0]] \ + * int(ion_type_multiplicity[1]) + return info + + +class ReadRrngFileFormat(): + """Read *.rrng file format.""" + + def __init__(self, filename: str): + assert len(filename) > 5, 'RRNG file incorrect filename ending!' + assert filename.lower().endswith('.rrng'), \ + 'RRNG file incorrect file type!' + self.filename = filename + + self.rrng = {} + self.rrng['ionnames'] = [] + self.rrng['ranges'] = {} + self.rrng['ions'] = {} + + def read(self): + """Read content of an RRNG range file.""" + with open(self.filename, mode='r', encoding='utf8') as rrngf: + txt = rrngf.read() + + txt = txt.replace('\r\n', '\n') # windows to unix EOL conversion + txt = txt.replace(',', '.') # use decimal dots instead of comma + txt_stripped = [line for line in txt.split('\n') + if line.strip() != '' and line.startswith('#') is False] + del txt + + # see DOI: 10.1007/978-1-4899-7430-3 for further details to this + # AMETEK/Cameca's *.rrng file format + + # first, parse [Ions] section, which holds a list of element names + # there are documented cases where experimentalists add custom strings + # to specify ranges they consider special + # these are loaded as user types + # with isotope_vector np.iinfo(np.uint16).max + where = [idx for idx, element in + enumerate(txt_stripped) if element == '[Ions]'] + assert isinstance(where, list), 'Section [Ions] not found!' + assert len(where) == 1, 'Section [Ions] not found or ambiguous!' + current_line_id = where[0] + 1 + + tmp = re.split(r'[\s=]+', txt_stripped[current_line_id]) + assert len(tmp) == 2, '[Ions]/Number line corrupted!' + assert tmp[0] == 'Number', '[Ions]/Number incorrectly formatted!' + assert tmp[1].isnumeric(), '[Ions]/Number not a number!' + number_of_ion_names = int(tmp[1]) + assert number_of_ion_names > 0, 'No ion names defined!' + current_line_id += 1 + for i in np.arange(0, number_of_ion_names): + tmp = re.split(r'[\s=]+', txt_stripped[current_line_id + i]) + assert len(tmp) == 2, '[Ions]/Ion line corrupted!' + assert tmp[0] == 'Ion' + str(i + 1), \ + '[Ions]/Ion incorrectly formatted!' + assert isinstance(tmp[1], str), '[Ions]/Name not a string!' + self.rrng['ionnames'].append(tmp[1]) # [tmp[0]] = tmp[1] + + # second, parse [Ranges] section + where = [idx for idx, element in + enumerate(txt_stripped) if element == '[Ranges]'] + assert isinstance(where, list), 'Section [Ranges] not found!' + assert len(where) == 1, 'Section [Ranges] not found or ambiguous!' + current_line_id = where[0] + 1 + + tmp = re.split(r'[\s=]+', txt_stripped[current_line_id]) + assert len(tmp) == 2, '[Ranges]/Number line corrupted!' + assert tmp[0] == 'Number', '[Ranges]/Number incorrectly formatted!' + assert tmp[1].isnumeric(), '[Ranges]/Number not a number!' + number_of_ranges = int(tmp[1]) + assert number_of_ranges > 0, 'No ranges defined!' + current_line_id += 1 + + for i in np.arange(0, number_of_ranges): + obj = evaluate_rrng_range_line( + i + 1, txt_stripped[current_line_id + i], self.rrng['ionnames']) + + assert obj != {}, \ + 'Line ' + txt_stripped[current_line_id + i] + ' is corrupted!' + self.rrng['ranges'][obj['identifier']] = obj + + for obj in self.rrng['ranges'].values(): + hashvector = create_isotope_vector(obj['comp']) + keyword = isotope_vector_to_dict_keyword(hashvector) + + if keyword not in self.rrng['ions'].keys(): + self.rrng['ions'][keyword] = NxIon() + self.rrng['ions'][keyword].name = NxField(keyword, None) + self.rrng['ions'][keyword].charge_state = \ + NxField(np.int32(0), '') + # RRNG files do not store charge state + self.rrng['ions'][keyword].isotope_vector = \ + NxField(hashvector, None) + + self.rrng['ions'][keyword].add_range( + obj['range'][0], obj['range'][1]) + + def report_range(self): + """Summarize content in a range file.""" + print(self.rrng['ions']) + print(self.rrng['ranges']) + + +if __name__ == 'main': + pass + # testing + # parsedFile = ReadRrngFileFormat('../../R31_06365-v02.rrng') diff --git a/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_utils.py b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_utils.py new file mode 100644 index 000000000..4949ed35e --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/apm/utils/aptfim_io_utils.py @@ -0,0 +1,215 @@ +#!/usr/bin/env python3 +"""Set of utility tools for parsing file formats used by atom probe.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +from typing import Tuple + +import mmap + +import numpy as np + +from ase.data import atomic_numbers + +# restrict the number distinguished ion types +MAX_NUMBER_OF_ION_SPECIES = 256 +# restrict number of atoms for molecular ion fragments +MAX_NUMBER_OF_ATOMS_PER_ION = 32 +# Da or atomic mass unit (amu) +MQ_EPSILON = np.float32(1.0e-4) + + +def rchop(string: str = '', suffix: str = '') -> str: + """Right-chop a string.""" + if suffix and string.endswith(suffix): + return string[:-len(suffix)] + return string + + +def hash_isotope(proton_number: np.uint8 = 0, + neutron_number: np.uint8 = 0) -> np.uint16: + """Encode an isotope to a hashvalue.""" + assert proton_number >= 0, 'Proton number >= 0 needed!' + assert proton_number < 256, 'Proton number < 256 needed!' + assert neutron_number >= 0, 'Neutron number >= 0 needed!' + assert neutron_number < 256, 'Neutron number < 256 needed!' + return np.uint16(proton_number) \ + + np.uint16(256) * np.uint16(neutron_number) + + +def unhash_isotope(hashval: np.uint16 = 0) -> Tuple[np.uint8]: + """Decode a hashvalue to an isotope.""" + assert isinstance(hashval, int), 'Hashval needs to be integer!' + assert hashval >= 0, 'Hashval needs to be an unsigned integer!' + assert hashval <= np.iinfo(np.uint16).max, \ + 'Hashval needs to map on an uint16!' + neutron_number = np.uint16(hashval / np.uint16(256)) + proton_number = np.uint16(hashval - neutron_number * np.uint16(256)) + return (proton_number, neutron_number) + + +def create_isotope_vector(building_blocks: list) -> np.ndarray: + """Create an array of isotope hashvalues.""" + # building_blocks are usually names of elements in the periodic tables + # if not we assume the ion is special, a user type + + # test cases: + # create_isotope_vector(['Fe', 'Fe', 'O', 'O', 'O']) + # create_isotope_vector([]) + # create_isotope_vector(['Markus']) + + # lookup table of known elements + # element_symbol = chemical_symbols[1::] + element_proton_number = atomic_numbers + + hashvector = [] + assert len(building_blocks) <= MAX_NUMBER_OF_ATOMS_PER_ION, \ + 'Faced an ion with an unsupported high complexity!' + # MAX_NUMBER_OF_ATOMS_PER_ION can be modified to describe large fragments + + if building_blocks == []: # special case unknown ion type + return np.array([0] * MAX_NUMBER_OF_ATOMS_PER_ION, dtype=np.uint16) + + for block in building_blocks: + if block in element_proton_number.keys(): + proton_number = element_proton_number[block] + neutron_number = 0 + # *.rng, *.rrng files do not resolve isotopes! + + hashvector.append(hash_isotope(proton_number, neutron_number)) + else: + print('WARNING: Block does not specify a unique element name!') + print('WARNING: Importing a user-defined type!') + # special case user_defined_type + return np.array([0] * MAX_NUMBER_OF_ATOMS_PER_ION, dtype=np.uint16) + + assert len(hashvector) <= MAX_NUMBER_OF_ATOMS_PER_ION, \ + 'More than ' + MAX_NUMBER_OF_ATOMS_PER_ION \ + + ' atoms in the molecular ion!' + + hashvector = np.asarray(hashvector, np.uint16) + hashvector = np.sort(hashvector, kind='stable')[::-1] + retval = np.zeros([1, MAX_NUMBER_OF_ATOMS_PER_ION], np.uint16) + retval[0, 0:len(hashvector)] = hashvector + return retval + + +def isotope_vector_to_dict_keyword(uint16_array: np.ndarray) -> str: + """Create keyword for dictionary from isotope_vector.""" + lst = [] + for value in uint16_array: + lst.append(str(value)) + assert lst != [], 'List from isotope_vector is empty!' + return ','.join(lst) + + +def significant_overlap(interval: np.float64, + interval_set: np.float64) -> bool: + """Check if interval overlaps within with members of interval set.""" + assert np.shape(interval) == (2,), 'Interval needs to have two columns!' + assert np.shape(interval_set)[1] == 2, \ + 'Interval_set needs to have two columns!' + # interval = np.array([53.789, 54.343]) + # interval_set = np.array([[27.778, 28.33]]) # for testing purposes + if np.shape(interval_set)[0] >= 1: + left_and_right_delta = np.zeros([np.shape(interval_set)[0], 2], bool) + left_and_right_delta[:, 0] = (interval_set[:, 0] - interval[1]) \ + > MQ_EPSILON + left_and_right_delta[:, 1] = (interval[0] - interval_set[:, 1]) \ + > MQ_EPSILON + no_overlap = np.array([np.any(i) for i in left_and_right_delta]) + if np.all(no_overlap): + return False + return True + return False + + +def significant_range(left: np.float64, right: np.float64) -> bool: + """Check if inclusive interval bounds [left, right] span a finite range.""" + assert left >= np.float64(0.) and right >= np.float64(0.), \ + 'Left and right bound have to be positive!' + if (right - left) > MQ_EPSILON: + return True + return False + + +def get_memory_mapped_data(filename: str, data_type: str, oset: int, + strd: int, shp: int) -> np.ndarray: + """Memory-maps file plus offset strided read of typed data.""" + # https://stackoverflow.com/questions/60493766/ \ + # read-binary-flatfile-and-skip-bytes for I/O access details + + with open(filename, 'rb') as file_handle, \ + mmap.mmap(file_handle.fileno(), length=0, access=mmap.ACCESS_READ) as memory_mapped: + return np.ndarray(buffer=memory_mapped, dtype=data_type, + offset=oset, strides=strd, shape=shp).copy() + + +class NxField(): + """Representative of a NeXus field.""" + + def __init__(self, value: str = None, unit: str = None): + self.parent = None + self.isa = None # ontology reference concept ID e.g. + self.value = value + self.unit = unit + self.attributes = None + + def get_value(self): + """Get value.""" + return self.value + + def get_unit(self): + """Get unit.""" + return self.unit + + +class NxIon(): + """Representative of a NeXus base class NXion.""" + + def __init__(self): + self.ion_type = NxField('', '') + self.isotope_vector = NxField(np.empty(0, np.uint16), '') + self.charge_state = NxField(np.int32(0), '') + self.name = NxField('', '') + self.ranges = NxField(np.empty((0, 2), np.float64), 'amu') + + def add_range(self, mqmin: np.float64, mqmax: np.float64): + """Adding mass-to-charge-state ratio interval.""" + assert significant_range(mqmin, mqmax) is True, \ + 'Refusing to add epsilon range!' + assert significant_overlap(np.asarray([mqmin, mqmax]), + self.ranges.value) is False, \ + 'Refusing overlapping range!' + self.ranges.value = np.vstack((self.ranges.value, + np.array([mqmin, mqmax]))) + + def get_human_readable_name(self): + """Get human-readable name from isotop_vector.""" + # NEW ISSUE: how to display the isotope_vector in LaTeX notation? + return self.name.value + + +# a = NxIon() +# a.add_range(1., 2.) +# a.add_range(2.2, 3.) +# a.add_range(0.1, 0.99) diff --git a/nexusparser/tools/dataconverter/readers/base/reader.py b/nexusparser/tools/dataconverter/readers/base/reader.py new file mode 100644 index 000000000..91ed8c70c --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/base/reader.py @@ -0,0 +1,46 @@ +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""The abstract class off of which to implement readers.""" +from abc import ABC, abstractmethod +from typing import Tuple + + +class BaseReader(ABC): + """ + The abstract class off of which to implement readers. + + The filename's prefix is the identifier. The '_reader.py' is snipped out. + For this BaseReader with filename base_reader.py the ID becomes 'base' + + For future reference: + - Support links by setting the path in the template with the following object + object = {"link": "/path/to/source/data"} + """ + + # pylint: disable=too-few-public-methods + + # Whitelist for the NXDLs that the reader supports and can process + supported_nxdls = [""] + + @abstractmethod + def read(self, template: dict = None, file_paths: Tuple[str] = None) -> dict: + """Reads data from given file and returns a filled template dictionary""" + return template + + +READER = BaseReader diff --git a/nexusparser/tools/dataconverter/readers/ellips/reader.py b/nexusparser/tools/dataconverter/readers/ellips/reader.py new file mode 100644 index 000000000..1ed946d1e --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/ellips/reader.py @@ -0,0 +1,183 @@ +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""An example reader implementation for the DataConverter.""" +from typing import Tuple +import json + +import pyaml as yaml +import os +import pandas as pd + +from nexusparser.tools.dataconverter.readers.base.reader import BaseReader + +default_header = {'sep': '\t', 'skip': 0} + + +def load_header(filename, default=default_header): + """ load the yaml description file, and apply defaults as well + Parameters: + filename: a yaml file containing the definitions + default_header: predefined default values + """ + with open(filename, 'rt') as fp: + header = yaml.yaml.safe_load(fp) + + for k, v in default.items(): + if k not in header: + header[k] = v + + return header +# end load_header + + +def load_as_blocks(fn, header): + """ load a CSV output file using the header dict + """ + required_parameters = ("colnames", "skip", "sep") + for required_parameter in required_parameters: + if required_parameter not in header: + raise ValueError('colnames, skip and sep are required header parameters!') + + if not os.path.isfile(fn): + raise IOError(f'File not found error: {fn}') + + data = pd.read_csv(fn, + # use header = None and names to define custom column names + header=None, + names=header['colnames'], + skiprows=header['skip'], + delimiter=header['sep']) + + # if our table has a block structure, we hav to + # handle it in a special way + dt = data.to_numpy() + keylist = [] + res = {} + if 'blocks' in header: + for head in header['blocks']: + indx = data.columns == head + icol = indx.nonzero()[0][0] + searcharray = dt.take(icol, axis=len(dt.shape) - 1) + dt = dt.compress(~indx, axis=len(dt.shape) - 1) + while (len(searcharray.shape) > 1): + searcharray = searcharray.take(0, axis=0) + + bkeys = data[head].unique() + lens = [(searcharray == i).sum() for i in bkeys] + data = data.drop(head, axis=1) + + if (lens == lens[0]).all(): + newshape = list(dt.shape) + # dt.shape = (lens[0], int(dt.shape[0]/lens[0]), dt.shape[1]) + i = newshape.index(max(newshape)) + newshape[i] = lens[0] + newshape.insert(i, int(dt.shape[i] / lens[0])) + dt.shape = tuple(newshape) + # dt.shape = (int(dt.shape[0]/lens[0]), lens[0], dt.shape[1]) + keylist.append(bkeys) + res[head] = bkeys + + res['data'] = dt.astype("f") + res['keys'] = keylist + if "wavelength" in data.columns: + i = (data.columns == "wavelength").nonzero()[0][0] + searcharray = dt.take(i, axis=len(dt.shape) - 1) + while (len(searcharray.shape) > 1): + searcharray = searcharray.take(0, axis=0) + res["wavelength"] = searcharray + return res +# end of load_as_blocks + + +class EllipsometryReader(BaseReader): + """An example reader implementation for the DataConverter.""" + + # pylint: disable=too-few-public-methods + + # Whitelist for the NXDLs that the reader supports and can process + supported_nxdls = ["NXellipsometry"] + + def read(self, template: dict = None, file_paths: Tuple[str] = None) -> dict: + """Reads data from given file and returns a filled template dictionary""" + + if not file_paths: + raise Exception("No input files were given to Ellipsometry Reader.") + + header = default_header + for file_path in file_paths: + file_extension = os.path.splitext(file_path)[1] + if file_extension.lower() in [".yaml", ".yml"]: + header = load_header(file_path, header) + if "filename" not in header: + raise KeyError("filename is missing") + tempdata = load_as_blocks(header["filename"], header) + header["measured_data"] = tempdata["data"] + del tempdata["keys"] + del tempdata["data"] + for k in tempdata: + header[k] = tempdata[k] + if "calibration_filename" in header: + calibration = load_as_blocks(header["calibration_filename"], header) + for k in calibration: + header[f"calibration_{k}"] = calibration[k] + dk = ["filename", "skip", "sep", "blocks", "colnames", "x-var", "y-var", "type"] + + for k in dk: + if k in header: + del header[k] + + return_data = {} + for k in template.keys(): + if "@units" in k: + continue + short_k = k.rsplit("/", 1)[1] + k_units = f"{k}/@units" + if short_k in header: + if k_units in template: + if isinstance(header[short_k], str) and " " in header[short_k]: + val = header.pop(short_k).rsplit(" ", 1) + return_data[k_units] = val[-1] + return_data[k] = val[0] + try: + return_data[k] = float(val[0]) + except ValueError: + pass + else: + # we did not find unit but we assigned a value + return_data[k] = header.pop(short_k) + else: + return_data[k] = header.pop(short_k) + # The entries in the template dict should correspond with what the dataconverter + # outputs with --generate-template for a provided NXDL file + # field_name = k[k.rfind("/") + 1:] + # if field_name[0] != "@": + # template[k] = data[field_name] + # if f"{field_name}_units" in data.keys() and f"{k}/@units" in template.keys(): + # template[f"{k}/@units"] = data[f"{field_name}_units"] + # we are hardcoding the wavelength unit but it has to be fixed + return_data["/ENTRY[entry]/SAMPLE[sample]/wavelength/@units"] = "nm" + return_data["/ENTRY[entry]/INSTRUMENT[instrument]/angle_of_incidence/@units"] = "degrees" + + # Wavelength should be of type float. Pandas sends it back as Python object aka dtype('O') + return_data["/ENTRY[entry]/SAMPLE[sample]/wavelength"] = return_data["/ENTRY[entry]/SAMPLE[sample]/wavelength"].astype("float64") + + return return_data + + +# This has to be set to allow the convert script to use this reader. Set it to "MyDataReader". +READER = EllipsometryReader diff --git a/nexusparser/tools/dataconverter/readers/em_nion/reader.py b/nexusparser/tools/dataconverter/readers/em_nion/reader.py new file mode 100644 index 000000000..36852015a --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/em_nion/reader.py @@ -0,0 +1,296 @@ +#!/usr/bin/env python3 +"""Nion/NionSwift EM reader.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +import re + +import json + +from typing import Tuple + +import numpy as np + +from nexusparser.tools.dataconverter.readers.base.reader import BaseReader + +from nexusparser.tools.dataconverter.readers.em_nion.utils.em_io_utils_misc \ + import recursive_query_nested_dict, assess_situation_with_input_files, NION_ERROR_CODES + +from nexusparser.tools.dataconverter.readers.em_nion.utils.em_io_utils_ods2dct \ + import ods_to_json_routing_dict + +# each experiment on a given sample should be stored in an own file + + +def report_appdef_version(template: dict) -> dict: + """Specify which application definition version is used.""" + template["/ENTRY[entry]/definition"] = "NXem_nion" + template["/ENTRY[entry]/definition/@version"] = "1" + + return template + + +def extract_data_from_json_file(file_name: str, template: dict) -> dict: + """Query those data which a NionSwift json file has.""" + # file_name = 'HAADF_01.json' + print('Extracting data from NionSwift JSON file: ' + file_name) + + with open(file_name, 'r', encoding='utf-8') as infile: + jsn = json.load(infile) + + json_to_nxdl_path = ods_to_json_routing_dict() + + # extract quantities + for keyword, value in json_to_nxdl_path.items(): + assert isinstance(value, tuple), \ + 'Keyword: ' + keyword + '\n' + 'Value is not a tuple!' + assert len(value) == 2, \ + 'Keyword: ' + keyword + '\n' + 'Value is not a duplett!' + + nxdl_path, nxdl_unit = value + + if nxdl_path in template.keys(): + tmp = recursive_query_nested_dict(keyword, jsn) + + assert tmp is not None, \ + 'Keyword: ' + keyword + '\n' + 'Value is None!' + template[nxdl_path] = tmp + + if nxdl_path + '/@units' in template.keys(): + template[nxdl_path + '/@units'] = nxdl_unit + + # extract quantities for which the nionswift json document + # formats/distributes the pieces of information across multiple keywords, + # so that to format them according to what the application definition, + # it is required a hard coding for now + # NEW ISSUE: discuss with nion for formatting alternatives + # NEW ISSUE: write NXDL from within nionswift and append missing metadata + + # nionswift json does not explicitly report start_time, end_time and + # preparation_time but gives a time stamp, according to the suggestion + # how start_time should be used in such case we infer the time from + # this nionswift time stamp + date_time = recursive_query_nested_dict("datetime_original/local_datetime", jsn) + time_zone = recursive_query_nested_dict("datetime_original/tz", jsn) + tmp = re.compile(r"^(\+|-)(\d{2})00$") + assert tmp.search(time_zone) is not None, \ + 'nionswift time zone formatting ' + time_zone + ' is not valid!' + + template["/ENTRY[entry]/start_time"] \ + = value = date_time + time_zone[0:3] + ':' + time_zone[3:5] + # NEW ISSUE: + template["/ENTRY[entry]/end_time"] \ + = template["/ENTRY[entry]/start_time"] + template["/ENTRY[entry]/SAMPLE[sample]/preparation_date"] \ + = template["/ENTRY[entry]/start_time"] + + # NEW ISSUE: this should better be stored with each image + center_positions = recursive_query_nested_dict( + "metadata/scan/scan_device_parameters/center_nm", jsn) + assert isinstance(center_positions, list), \ + 'Value for center positions is not a list!' + assert center_positions != [], \ + 'Value for center positions is an empty list!' + assert len(center_positions) == 2, \ + 'Value for center positions is not a duplett!' + + template["/ENTRY[entry]/em_lab/hadf/SCANBOX_EM[scanbox_em]/center"] \ + = np.asarray(center_positions, np.float64) + template["/ENTRY[entry]/em_lab/hadf/SCANBOX_EM[scanbox_em]/center/@units"] \ + = "nm" + # NEW ISSUE: center and their units is currently hardcoded + # NEW ISSUE: nionswift json metadata document is inconsistent here + + positions = np.zeros((3,), np.float64) + for axis in [0, 1, 2]: + tmp = recursive_query_nested_dict( + ["metadata/instrument/ImageScanned/StageOutX", + "metadata/instrument/ImageScanned/StageOutY", + "metadata/instrument/ImageScanned/StageOutZ"][axis], jsn) + assert isinstance(tmp, float), 'Coordinate value is not a float!' + positions[axis] = tmp + template["/ENTRY[entry]/em_lab/STAGE_LAB[stage_lab]/position"] \ + = positions + template["/ENTRY[entry]/em_lab/STAGE_LAB[stage_lab]/position/@units"] = "m" + # NEW ISSUE: positions and their units are currently hardcoded + + # NEW ISSUE: probe_ha should better be stored only within each scan + # and not in misc + tmp = recursive_query_nested_dict("metadata/instrument/ImageScanned/probe_ha", jsn) + template["/ENTRY[entry]/em_lab/miscellaneous/semi_convergence_angle"] \ + = tmp + template["/ENTRY[entry]/em_lab/miscellaneous/semi_convergence_angle/@units"] \ + = "rad" + + return template + + +def extract_data_from_scans( + npy_file_name: str, json_file_name: str, + template: dict) -> dict: + """Query those data which a NionSwift numpy file has. + + Add per scan metadata from json metadata file from nionswift. + """ + # npy_file_name = 'HAADF_01.npy' + # json_file_name = 'HAADF_01.json' + print('Extracting data from NionSwift NPY file: ' + npy_file_name) + + # ##MK how will the numpy dump look like when there are multiple images? + # ##MK how do images map to indices + + path_prefix = "/ENTRY[entry]/em_lab/hadf/DATA[data]/" + + template[path_prefix + "@axes"] \ + = ["photon_energy", "xpos", "ypos"] + template[path_prefix + "@signal"] = "intensity" + # here assuming h5py will encodes the str into an UTF-8 + template[path_prefix + "@xpos_indices"] = 0 + template[path_prefix + "@ypos_indices"] = 1 + + npy = np.load(npy_file_name) + template[path_prefix + "intensity"] = npy + # NEW ISSUE: this needs to be disentangled for multiple scans + + with open(json_file_name, 'r', encoding='utf-8') as infile: + jsn = json.load(infile) + + # NEW ISSUE: based on design for multiple scans reconstruct pixel + # coordinates, currently hardcoded + spatial_calibrations = recursive_query_nested_dict("spatial_calibrations", jsn) + assert isinstance(spatial_calibrations, list), \ + 'Value for spatial calibrations is not a list!' + assert spatial_calibrations != [], \ + 'Value for spatial calibrations is an empty list!' + assert len(spatial_calibrations) == 2, \ + 'Value for spatial calibrations is not a duplett!' + + center_positions = recursive_query_nested_dict( + "metadata/scan/scan_device_parameters/center_nm", jsn) + assert isinstance(center_positions, list), \ + 'Value for center positions is not a list!' + assert center_positions != [], \ + 'Value for center positions is an empty list!' + assert len(center_positions) == 2, \ + 'Value for center positions is not a duplett!' + + scan_sizes = recursive_query_nested_dict( + "metadata/scan/scan_device_parameters/size", jsn) + assert isinstance(scan_sizes, list), \ + 'Value for scan sizes is not a list!' + assert scan_sizes != [], \ + 'Value for scan sizes is an empty list!' + assert len(scan_sizes) == 2, \ + 'Value for scan sizes is not a duplett!' + + xmin = center_positions[0] + spatial_calibrations[0]['offset'] \ + + 0 * spatial_calibrations[0]['scale'] + xmax = center_positions[0] + spatial_calibrations[0]['offset'] \ + + scan_sizes[0] * spatial_calibrations[0]['scale'] + template[path_prefix + "xpos"] = np.linspace( + xmin, xmax, scan_sizes[0], endpoint=True) + template[path_prefix + "xpos/@units"] = "nm" + + ymin = center_positions[1] + spatial_calibrations[1]['offset'] \ + + 0 * spatial_calibrations[1]['scale'] + ymax = center_positions[1] + spatial_calibrations[1]['offset'] \ + + scan_sizes[1] * spatial_calibrations[1]['scale'] + template[path_prefix + "ypos"] = np.linspace( + ymin, ymax, scan_sizes[1], endpoint=True) + # NEW ISSUE: xpos/ypos units currently hardcoded, no explicit unit field + + template[path_prefix + "ypos/@units"] = "nm" + template[path_prefix + "@long_name"] = "HADF image" + + return template + + +def extract_data_from_elabftw_file(file_name: str, template: dict) -> dict: + """Query (meta)data from dumps of e.g. ELabFTW or lab-instrument configs.""" + # file_name = 'HAADF_01.ELabFTW.json' + print('Extracting data from ELN/LIMS/others JSON file: ' + file_name) + + with open(file_name, 'r', encoding='utf-8') as infile: + dct = json.load(infile) + + for nxdl_path, value in dct.items(): + if nxdl_path in template.keys(): + assert value is not None, \ + 'Keyword: ' + nxdl_path + '\n' + 'Value is None!' + template[nxdl_path] = value + + return template + + +class EmNionReader(BaseReader): + """Parse content from community file formats. + + Specifically, of (transmission) electron microscopy from a Nion microscope + to create a NXem_nion.nxdl-compliant NeXus file. + + """ + + # pylint: disable=too-few-public-methods + + # Whitelist for the NXDLs that the reader supports and can process + supported_nxdls = ["NXem_nion"] + + def read(self, template: dict = None, file_paths: Tuple[str] = None) -> dict: + """Read data from given file, return filled template dictionary.""" + typed_files, case = assess_situation_with_input_files(file_paths) + + assert case != NION_ERROR_CODES[-1], \ + 'Each nionswift record should have only one npy and json file!' + + report_appdef_version(template) + + print('Add metadata which come from other sources...') + if 'json' in typed_files.keys(): + assert len(typed_files['json']) == 1, \ + "List of json files is ambiguous!" + + extract_data_from_json_file(typed_files['json'][0], template) + + print('Add metadata/data from numpy array(s) representing scans...') + if 'npy' in typed_files.keys(): + assert len(typed_files['npy']) == 1, \ + "List of npy files is ambiguous!" + assert len(typed_files['json']) == 1, \ + "List of json files is ambiguous!" + + extract_data_from_scans( + typed_files['npy'][0], + typed_files['json'][0], + template) + + print('Add metadata from e.g.ELN/LIMS dump JSON files...') + extract_data_from_elabftw_file(typed_files['dat'][0], template) + + # inspect the template for debugging purposes + # for keyword, value in template.items(): + # print('Keyword: ' + keyword + ' value: ' + str(value)) + + return template + + +# This has to be set to allow the convert script to use this reader. +READER = EmNionReader diff --git a/nexusparser/tools/dataconverter/readers/em_nion/utils/NionSwiftJsonToNexusTranslationTable.ods b/nexusparser/tools/dataconverter/readers/em_nion/utils/NionSwiftJsonToNexusTranslationTable.ods new file mode 100644 index 000000000..2d6ab616b Binary files /dev/null and b/nexusparser/tools/dataconverter/readers/em_nion/utils/NionSwiftJsonToNexusTranslationTable.ods differ diff --git a/nexusparser/tools/dataconverter/readers/em_nion/utils/em_io_utils_misc.py b/nexusparser/tools/dataconverter/readers/em_nion/utils/em_io_utils_misc.py new file mode 100644 index 000000000..ddf9df5df --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/em_nion/utils/em_io_utils_misc.py @@ -0,0 +1,106 @@ +#!/usr/bin/env python3 +"""Generic utilities for the Nion/NionSwift EM parser.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +from typing import Tuple + +import numpy as np + +import h5py + + +def string_array_to_utf8(strings: list) -> np.ndarray: + """Format a list of strings to a h5py compliant UTF-8 formatted array.""" + # https://manual.nexusformat.org/classes/base_classes/NXdata.html#nxdata + # https://docs.h5py.org/en/stable/strings.html + + utf8_type = h5py.string_dtype('utf-8', 30) + return np.array([s.encode("utf-8") for s in strings], utf8_type) + + +def recursive_query_nested_dict(path: str, dct: dict): + """Traverse nested Python dict to find value to flattened path. + + The function left-strips the path with walking each layer deeper. + """ + # prev_key: str, + assert path not in ['', '/'], 'Path must not be empty or slash/root only!' + # NEW ISSUE: eventually return None in the above cases + idx = path.find('/') + curr_key = path + if idx != -1: + curr_key = path[0:idx] + remaining_path = path[idx + 1::] + if curr_key[0] == "[" and curr_key[-1] == "]": + # lst_id = int(curr_key[1:-1]) + # print('-->Traversing into list of dictionaries lst_id: ' + # + str(lst_id) + ' using prev_key: ' + prev_key) + return recursive_query_nested_dict(remaining_path, dct[int(curr_key[1:-1])]) + + # print('-->Traversing dictionary key: ' + # + curr_key + ' using prev_key: ' + prev_key) + return recursive_query_nested_dict( + remaining_path, dct[curr_key]) # curr_key, + # print('-->Found leaf, key: ' + # + curr_key + ' value: ' + str(dct[curr_key])) + return dct[curr_key] + + +NIONSWIFT_FILE_TYPES = ['npy', 'json'] +ELAB_FILE_TYPES = ['dat'] +NION_ERROR_CODES = {-1: 'Invalid input', 0: 'Single Nion/NionSwift dataset'} + + +def assess_situation_with_input_files(file_paths: Tuple[str] = None): + """Different file formats contain different types of data. + + Identify how many files of specific type Tuple contains to judge if the + input has at all a chance to populate all required fields of + the application definition. + + """ + file_paths = ('HAADF_01.json', 'HAADF_01.npy', 'HAADF_01.ELabFTW.dat') + filetype_dict = {} + for file_name in file_paths: + index = file_name.lower().rfind('.') + if index >= 0: + suffix = file_name.lower()[index + 1::] + if suffix in NIONSWIFT_FILE_TYPES + ELAB_FILE_TYPES: + if suffix in filetype_dict.keys(): + filetype_dict[suffix].append(file_name) + else: + filetype_dict[suffix] = [file_name] + # files without endings are ignored + + # identify which use case we face + filetype_counts = {} + for suffix, filenames in filetype_dict.items(): + filetype_counts[suffix] = len(filenames) + + # decide what to do based on the use case + if len(filetype_dict['npy']) == 1 and len(filetype_dict['json']) == 1 \ + and len(filetype_dict['dat']) == 1: + return (filetype_dict, NION_ERROR_CODES[0]) + # ##MK \ and len(filetype_dict['yml']) == 1: + + return (filetype_dict, NION_ERROR_CODES[-1]) diff --git a/nexusparser/tools/dataconverter/readers/em_nion/utils/em_io_utils_ods2dct.py b/nexusparser/tools/dataconverter/readers/em_nion/utils/em_io_utils_ods2dct.py new file mode 100644 index 000000000..0708d4038 --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/em_nion/utils/em_io_utils_ods2dct.py @@ -0,0 +1,86 @@ +#!/usr/bin/env python3 +"""Utility to create metadata/data routing table dictionary from spreadsheet.""" + +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 + +# import json + +import os + +import pandas as pd + +import numpy as np + +# create a json dictionary with all those entries of the NXDL +# for which the metadata/data can not be extracted from files but +# need to be specified by other means (e.g. human, control software, +# external databases) + +ROUTING_TABLE_FILE = 'NionSwiftJsonToNexusTranslationTable.ods' + + +def ods_to_json_routing_dict() -> dict: # file_name: str) -> dict: + """Parse LibreCalc/Excel table into dictionary. + + The dictionary how a path in a JSON document should be stored in a + specific field in NeXus. The keyword of the dictionary is the flattened + path in the JSON document, the value argument is a tuple of the path + in NeXus and the specific SI/UniData unit that is to be used. + """ + prefix = os.getcwd() + prefix += "/readers/em_nion/utils/" + print('Loading: ' + ROUTING_TABLE_FILE + ' from...') + print(prefix) + # no prefixing for jupyter-lab assuming datasets are in / + prefix = '' + tmp = pd.read_excel(prefix + ROUTING_TABLE_FILE, + sheet_name='JsonToNeXusRoutingTable', + engine="odf", + skiprows=7, + keep_default_na=False, na_values=['_']) + + dct = {} + + for rowidx in np.arange(0, tmp.shape[0]): + json_path = tmp.iloc[rowidx, 0] + nxdl_path = tmp.iloc[rowidx, 1] + nxdl_unit = tmp.iloc[rowidx, 2] + status = tmp.iloc[rowidx, 3] + + assert status in [0, 1, 2, 3, 4, 5], \ + print("nxdl_use is not 0 or 1!") + + if status in [1, 3] and nxdl_path != 'None': + assert json_path not in dct.keys(), \ + print(json_path + ' has already been added to routing table!') + + dct[json_path] = (nxdl_path, nxdl_unit) + + return dct + + # NEW ISSUE: in case it is desirable to export the dictionary to a json file + # with open(file_name + '.json', 'w', encoding='utf-8') \ + # as file_handle: + # json.dump(dct, file_handle, ensure_ascii=False, indent=4) + +# testing +# routing_table = ods_to_json_routing_dict() diff --git a/nexusparser/tools/dataconverter/readers/example/reader.py b/nexusparser/tools/dataconverter/readers/example/reader.py new file mode 100644 index 000000000..1bae2a2f0 --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/example/reader.py @@ -0,0 +1,59 @@ +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""An example reader implementation for the DataConverter.""" +from typing import Tuple +import json + +from nexusparser.tools.dataconverter.readers.base.reader import BaseReader + + +class ExampleReader(BaseReader): + """An example reader implementation for the DataConverter.""" + + # pylint: disable=too-few-public-methods + + # Whitelist for the NXDLs that the reader supports and can process + supported_nxdls = ["NXtest"] + + def read(self, template: dict = None, file_paths: Tuple[str] = None) -> dict: + """Reads data from given file and returns a filled template dictionary""" + data: dict = {} + + if not file_paths: + raise Exception("No input files were given to Example Reader.") + + for file_path in file_paths: + file_extension = file_path[file_path.rindex("."):] + with open(file_path, "r") as input_file: + if file_extension == ".json": + data = json.loads(input_file.read()) + + for k in template.keys(): + # The entries in the template dict should correspond with what the dataconverter + # outputs with --generate-template for a provided NXDL file + field_name = k[k.rfind("/") + 1:] + if field_name[0] != "@": + template[k] = data[field_name] + if f"{field_name}_units" in data.keys() and f"{k}/@units" in template.keys(): + template[f"{k}/@units"] = data[f"{field_name}_units"] + + return template + + +# This has to be set to allow the convert script to use this reader. Set it to "MyDataReader". +READER = ExampleReader diff --git a/nexusparser/tools/dataconverter/readers/mpes/reader.py b/nexusparser/tools/dataconverter/readers/mpes/reader.py new file mode 100644 index 000000000..a4ace1559 --- /dev/null +++ b/nexusparser/tools/dataconverter/readers/mpes/reader.py @@ -0,0 +1,199 @@ +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +"""MPES reader implementation for the DataConverter.""" + +from typing import Tuple +import h5py +import json +from nexusparser.tools.dataconverter.readers.base.reader import BaseReader +import xarray as xr + +default_units = { + 'X': 'step', + 'Y': 'step', + 't': 'step', + 'tofVoltage': 'V', + 'extractorVoltage': 'V', + 'extractorCurrent': 'A', + 'cryoTemperature': 'K', + 'sampleTemperature': 'K', + 'dldTimeBinSize': 'ns', + 'delay': 'ps', + 'timeStamp': 's', + 'E': 'eV', + 'kx': '1/A', + 'ky': '1/A'} + + +def res_to_xarray(res, binNames, binAxes, metadata=None): + """ creates a BinnedArray (xarray subclass) out of the given np.array + Parameters: + res: np.array + nd array of binned data + binNames (list): list of names of the binned axes + binAxes (list): list of np.arrays with the values of the axes + Returns: + ba: BinnedArray (xarray) + an xarray-like container with binned data, axis, and all available metadata + """ + dims = binNames + coords = {} + for name, vals in zip(binNames, binAxes): + coords[name] = vals + + xres = xr.DataArray(res, dims=dims, coords=coords) + + for name in binNames: + try: + xres[name].attrs['unit'] = default_units[name] + except KeyError: + pass + + xres.attrs['units'] = 'counts' + xres.attrs['long_name'] = 'photoelectron counts' + + if metadata is not None: + xres.attrs['metadata'] = metadata + + return xres + + +def h5_to_xarray(faddr, mode='r'): + """ Rear xarray data from formatted hdf5 file + Args: + faddr (str): complete file name (including path) + mode (str): hdf5 read/write mode + Returns: + xarray (xarray.DataArray): output xarra data + """ + with h5py.File(faddr, mode) as h5File: + # Reading data array + try: + data = h5File['binned']['BinnedData'] + except KeyError: + print("Wrong Data Format, data not found") + raise + + # Reading the axes + axes = [] + binNames = [] + + try: + for axis in h5File['axes']: + axes.append(h5File['axes'][axis]) + binNames.append(h5File['axes'][axis].attrs['name']) + except KeyError: + print("Wrong Data Format, axes not found") + raise + + # load metadata + if 'metadata' in h5File: + def recursive_parse_metadata(node): + if isinstance(node, h5py.Group): + d = {} + for k, v in node.items(): + d[k] = recursive_parse_metadata(v) + + else: + d = node[...] + try: + d = d.item() + if isinstance(d, (bytes, bytearray)): + d = d.decode() + except ValueError: + pass + + return d + + metadata = recursive_parse_metadata(h5File['metadata']) + + xarray = res_to_xarray(data, binNames, axes, metadata) + return xarray + + +def iterate_dictionary(dic, key_string): + keys = key_string.split('/', 1) + if keys[0] in dic: + if len(keys) == 1: + return dic[keys[0]] + else: + return iterate_dictionary(dic[keys[0]], keys[1]) + else: + raise KeyError + + +class MPESReader(BaseReader): + + # pylint: disable=too-few-public-methods + + # Whitelist for the NXDLs that the reader supports and can process + supported_nxdls = ["NXmpes"] + + def read(self, template: dict = None, file_paths: Tuple[str] = None) -> dict: + """Reads data from given file and returns a filled template dictionary""" + + if not file_paths: + raise Exception("No input files were given to MPES Reader.") + + for file_path in file_paths: + + file_extension = file_path[file_path.rindex("."):] + + if file_extension == '.h5': + x_array_loaded = h5_to_xarray(file_path) + + elif file_extension == '.json': + with open(file_path, 'r') as f: + config_file_dict = json.load(f) + + for k, v in config_file_dict.items(): + + if isinstance(v, str) and ':' in v: + precursor = v.split(':')[0] + value = v[v.index(':') + 1:] + + # Filling in the data and axes along with units from xarray + if precursor == '@data': + try: + template[k] = eval("x_array_loaded." + value) + if k.split('/')[-1] == '@axes': + template[k] = list(template[k]) + + except NameError: + print(f"Incorrect naming syntax or the xarray doesn't contain entry corresponding to the path {k}") + except KeyError: + print(f"The xarray doesn't contain entry corresponding to the path {k}") + + # Filling in the metadata from xarray + elif precursor == '@attrs': + + try: # Tries to fill the metadata + template[k] = iterate_dictionary(x_array_loaded.attrs, value) + + except KeyError: + print(f"The xarray doesn't contain entry corresponding to the path {k}") + + else: + # Fills in the fixed metadata + template[k] = v + + return template + + +READER = MPESReader diff --git a/nexusparser/tools/dataconverter/writer.py b/nexusparser/tools/dataconverter/writer.py new file mode 100644 index 000000000..f68afd1ab --- /dev/null +++ b/nexusparser/tools/dataconverter/writer.py @@ -0,0 +1,143 @@ +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""The writer class for writing a Nexus file in accordance with a given NXDL.""" + +import copy +import logging +import sys +import xml.etree.ElementTree as ET + +import h5py +import numpy as np + +from nexusparser.tools.dataconverter import helpers +from nexusparser.tools import nexus + +logger = logging.getLogger(__name__) # pylint: disable=C0103 +logger.setLevel(logging.INFO) +logger.addHandler(logging.StreamHandler(sys.stdout)) + + +def does_path_exist(path, h5py_obj) -> bool: + """Returns true if the requested path exists in the given h5py object.""" + try: + h5py_obj[helpers.convert_data_dict_path_to_hdf5_path(path)] # pylint: disable=W0106 + return True + except KeyError: + return False + + +def is_not_data_empty(value) -> bool: + """Returns True if value is an Numpy array or not None.""" + if isinstance(value, np.ndarray) or value is not None: + return True + return False + + +def get_namespace(element) -> str: + """Extracts the namespace for elements in the NXDL""" + return element.tag[element.tag.index("{"):element.tag.rindex("}") + 1] + + +class Writer: + """The writer class for writing a Nexus file in accordance with a given NXDL. + + Args: + data (dict): Dictionary containing the data to convert. + nxdl_path (str): Path to the nxdl file to use during conversion. + output_path (str): Path to the output Nexus file. + + Attributes: + data (dict): Dictionary containing the data to convert. + nxdl_path (str): Path to the nxdl file to use during conversion. + output_path (str): Path to the output Nexus file. + output_nexus (h5py.File): The h5py file object to manipulate output file. + nxdl_data (dict): Stores xml data from given nxdl file to use during conversion. + nxs_namespace (str): The namespace used in the NXDL tags. Helps search for XML children. + """ + + def __init__(self, data: dict = None, nxdl_path: str = None, output_path: str = None): + """Constructs the necessary objects required by the Writer class.""" + self.data = data + self.nxdl_path = nxdl_path + self.output_path = output_path + self.output_nexus = h5py.File(self.output_path, "w") + self.nxdl_data = ET.parse(self.nxdl_path).getroot() + self.nxs_namespace = get_namespace(self.nxdl_data) + + def __nxdl_to_attrs(self, path: str = '/') -> dict: + """ + Return a dictionary of all the attributes at the given path in the NXDL and + the required attribute values that were requested in the NXDL from the data. + """ + nxdl_path = helpers.convert_data_converter_dict_to_nxdl_path(path) + elem = copy.deepcopy(nexus.get_node_at_nxdl_path(nxdl_path, elem=self.nxdl_data)) + if elem is None: + raise Exception(f"Attributes were not found for {path}. " + "Please check this entry in the template dictionary.") + + # Remove the name attribute as we only use it to name the HDF5 entry + if "name" in elem.attrib.keys(): + del elem.attrib["name"] + + # Fetch values for required attributes requested by the NXDL + for attr_name in elem.findall(f"{self.nxs_namespace}attribute"): + elem.attrib[attr_name.get('name')] = self.data[f"{path}/@{attr_name.get('name')}"] or '' + + return elem.attrib + + def ensure_and_get_parent_node(self, path: str) -> h5py.Group: + """Returns the parent if it exists for a given path else creates the parent group.""" + parent_path = path[0:path.rindex('/')] or '/' + parent_path_hdf5 = helpers.convert_data_dict_path_to_hdf5_path(parent_path) + if not does_path_exist(parent_path, self.output_nexus): + parent = self.ensure_and_get_parent_node(parent_path) + grp = parent.create_group(parent_path_hdf5) + attrs = self.__nxdl_to_attrs(parent_path) + if attrs is not None: + grp.attrs['NX_class'] = attrs["type"] + return grp + return self.output_nexus[parent_path_hdf5] + + def write(self): + """Writes the Nexus file with previously validated data from the reader with NXDL attrs.""" + for path, value in self.data.items(): + try: + if path[path.rindex('/') + 1:] == '@units': + continue + + entry_name = helpers.get_name_from_data_dict_entry(path[path.rindex('/') + 1:]) + + data = value if is_not_data_empty(value) else "" + + if entry_name[0] != "@": + grp = self.ensure_and_get_parent_node(path) + + dataset = grp.create_dataset(entry_name, data=data) + units_key = f"{path}/@units" + + if units_key in self.data.keys(): + dataset.attrs["units"] = self.data[units_key] + else: + dataset = self.ensure_and_get_parent_node(path) + dataset.attrs[entry_name[1:]] = data + except Exception as exception: + raise Exception(f"Unkown error occured writing the path: {path} " + f"with the following message: {str(exception)}") + + self.output_nexus.close() diff --git a/nexusparser/tools/nexus.py b/nexusparser/tools/nexus.py new file mode 100644 index 000000000..b8e79ddb1 --- /dev/null +++ b/nexusparser/tools/nexus.py @@ -0,0 +1,847 @@ +"""Read files from different format and print it in a standard Nexus format + +""" +# Nexus definitions in github: https://github.com/nexusformat/definitions +# to be cloned under os.environ['NEXUS_DEF_PATH'] + +from typing import Optional +import os +import xml.etree.ElementTree as ET +import re +import sys +import logging +import textwrap +import h5py + +# LOGGING_FORMAT = "%(levelname)s: %(message)s" +# stdout_handler = logging.StreamHandler(sys.stdout) +# stdout_handler.setLevel(logging.DEBUG) +# logging.basicConfig(level=logging.DEBUG, format=LOGGING_FORMAT, handlers=[stdout_handler]) +# logger = logging.getLogger() + + +# check for NEXUS definitions +def get_nexus_definitions_path(): + """Check NEXUS_DEF_PATH variable. +If it is empty, this function is filling it + +""" + try: + # either given by sys env + return os.environ['NEXUS_DEF_PATH'] + except BaseException: + # or it should be available locally under the dir 'definitions' + LOCAL_DIR = os.path.abspath(os.path.dirname(__file__)) + return os.path.join(LOCAL_DIR, f"..{os.sep}definitions") + + +def get_nx_class_path(hdf_node): + """Get the full path of an HDF5 node using nexus classes +in case of a field, end with the field name + +""" + + if hdf_node.name == '/': + return '' + if isinstance(hdf_node, h5py.Group): + return get_nx_class_path( + hdf_node.parent) + '/' + hdf_node.attrs['NX_class'] + if isinstance(hdf_node, h5py.Dataset): + return get_nx_class_path( + hdf_node.parent) + '/' + hdf_node.name.split('/')[-1] + return '' + + +def get_nxdl_entry(hdf_node): + """Get the nxdl application definition for an HDF5 node + +""" + + entry = hdf_node + while isinstance(entry, + h5py.Dataset) or entry.attrs['NX_class'] != 'NXentry': + entry = entry.parent + if entry.name == '/': + return 'NO NXentry found' + try: + nxdef = entry['definition'][()] + return nxdef.decode() + except KeyError: + return 'NO Definition referenced' + + +def get_nx_class(nxdl_elem): + """Get the nexus class for a NXDL node + +""" + try: + return nxdl_elem.attrib['type'] + except KeyError: + return 'NX_CHAR' + + +def get_nx_namefit(hdf_name, name): + """Checks if an HDF5 node name corresponds to a child of the NXDL element +uppercase letters in front can be replaced by arbitraty name, but +uppercase to lowercase match is preferred, +so such match is counted as a measure of the fit + +""" + # count leading capitals + counting = 0 + while counting < len(name) and name[counting] >= 'A' and name[counting] <= 'Z': + counting += 1 + # if potential fit + if counting == len(name) or hdf_name.endswith(name[counting:]): + # count the matching chars + fit = 0 + for i in range(max(counting, len(hdf_name))): + if hdf_name[i].upper() == name[i]: + fit += 1 + else: + break + # accept only full fits as better fits + if fit == max(counting, len(hdf_name)): + return fit + return 0 + # no fit + return -1 + + +def get_nx_classes(): + """Read base classes from the Nexus definition/base_classes folder + +""" + base_classes_list_files = os.listdir(os.path.join(get_nexus_definitions_path(), 'base_classes')) + nx_clss = sorted([str(s)[:-9] for s in base_classes_list_files]) + return nx_clss + + +def get_nx_units(): + """Read unit kinds from the Nexus definition/nxdlTypes.xsd file + +""" + filepath = f"{get_nexus_definitions_path()}{os.sep}nxdlTypes.xsd" + tree = ET.parse(filepath) + root = tree.getroot() + units_and_type_list = [] + for child in root: + for i in child.attrib.values(): + units_and_type_list.append(i) + flag = False + for line in units_and_type_list: + if line == 'anyUnitsAttr': + flag = True + nx_units = [] + elif 'NX' in line and flag is True: + nx_units.append(line) + elif line == 'primitiveType': + flag = False + else: + pass + return nx_units + + +def get_nx_attribute_type(): + """Read attribute types from the Nexus definition/nxdlTypes.xsd file + +""" + filepath = get_nexus_definitions_path() + '/nxdlTypes.xsd' + tree = ET.parse(filepath) + root = tree.getroot() + units_and_type_list = [] + for child in root: + for i in child.attrib.values(): + units_and_type_list.append(i) + flag = False + for line in units_and_type_list: + if line == 'primitiveType': + flag = True + nx_types = [] + elif 'NX' in line and flag is True: + nx_types.append(line) + elif line == 'anyUnitsAttr': + flag = False + else: + pass + return nx_types + + +def get_node_name(node): + '''Node - xml node +returns: + html documentation name + Either as specified by the 'name' or taken from the type (nx_class). + Note that if only class name is available, the NX prefix is removed and + the string is coverted to UPPER case. + +''' + if 'name' in node.attrib.keys(): + name = node.attrib['name'] + else: + name = node.attrib['type'] + if name.startswith('NX'): + name = name[2:].upper() + return name + + +def belongs_to(nxdl_elem, child, hdf_name): + """Checks if an HDF5 node name corresponds to a child of the NXDL element +uppercase letters in front can be replaced by arbitraty name, but +uppercase to lowercase match is preferred + +""" + # check if nameType allows different name + try: + name_any = bool(child.attrib['nameType'] == "any") + # if child.attrib['nameType'] == "any": + # name_any = True + # else: + # name_any = False + except KeyError: + name_any = False + childname = get_node_name(child) + nx_class_regex = re.compile(r"NX[a-z_]+") + name = hdf_name[2:].upper() if nx_class_regex.search(hdf_name) and 'name\ + ' not in child.attrib else hdf_name + # and no reserved words used + if name_any and name != 'doc' and name != 'enumeration': + # check if name fits + fit = get_nx_namefit(name, childname) + if fit < 0: + return False + for child2 in nxdl_elem: + if get_local_name_from_xml(child) != \ + get_local_name_from_xml(child2) or get_node_name(child2) == childname: + continue + # check if the name of another sibling fits better + fit2 = get_nx_namefit(name, get_node_name(child2)) + if fit2 > fit: + return False + # accept this fit + return True + if childname == name: + return True + return False + + +def get_local_name_from_xml(element): + """Helper function to extract the element tag without the namespace.""" + return element.tag[element.tag.rindex("}") + 1:] + + +def get_own_nxdl_child(nxdl_elem, name): + """Checks if an NXDL child node fits to the specific name""" + for child in nxdl_elem: + if get_local_name_from_xml(child) == 'group' and belongs_to(nxdl_elem, child, name): + # get_nx_class(child) == name: + return child + if get_local_name_from_xml(child) == 'field' and belongs_to(nxdl_elem, child, name): + return child + if get_local_name_from_xml(child) == 'attribute' and belongs_to(nxdl_elem, child, name): + return child + if get_local_name_from_xml(child) == 'doc' and name == 'doc': + return child + if get_local_name_from_xml(child) == 'enumeration' and name == 'enumeration': + return child + return None + + +def get_nxdl_child(nxdl_elem, name): + """Get the NXDL child node corresponding to a specific name +(e.g. of an HDF5 node,or of a documentation) +note that if child is not found in application definition, +it also checks for the base classes + +""" + own_child = get_own_nxdl_child(nxdl_elem, name) + if own_child is not None: + return own_child + # check in the base class + bc_name = get_nx_class(nxdl_elem) + # filter primitive types + if bc_name[2] == '_': + return None + bc_obj = ET.parse(f"{get_nexus_definitions_path()}{os.sep}base_classes{os.sep}{bc_name}.nxdl.xml").getroot() + return get_own_nxdl_child(bc_obj, name) + + +def get_required_string(nxdl_elem): + """Check for being required +REQUIRED, RECOMMENDED, OPTIONAL, NOT IN SCHEMA + +""" + if nxdl_elem is None: + return "<>" + is_optional = 'optional' in nxdl_elem.attrib.keys() \ + and nxdl_elem.attrib['optional'] == "true" + is_minoccurs = 'minOccurs' in nxdl_elem.attrib.keys() \ + and nxdl_elem.attrib['minOccurs'] == "0" + # is_required = 'required' in nxdl_elem.attrib.keys() and nxdl_elem.attrib['required'] == "true" + is_recommended = 'recommended' in nxdl_elem.attrib.keys() \ + and nxdl_elem.attrib['recommended'] == "true" + + if is_recommended: + return "<>" + if is_optional or is_minoccurs: + return "<>" + return "<>" + + # default optionality + # in BASE CLASSES: true + # in APPLICATIONS: false + + # if "base" in nxdl_elem.attrib and "base_classes" in nxdl_elem.base: # TODO: confirm with Sandor + # return "<>" + + +def chk_nxdataaxis_v2(hdf_node, name): + """Check if dataset is an axis + +""" + # check for being a Signal + own_signal = hdf_node.attrs.get('signal') + if own_signal is str and own_signal == "1": + LOGGER.info("Dataset referenced (v2) as NXdata SIGNAL") + # check for being an axis + own_axes = hdf_node.attrs.get('axes') + if own_axes is str: + axes = own_axes.split(':') + for i in len(axes): + if axes[i] and name == axes[i]: + LOGGER.info("Dataset referenced (v2) as NXdata AXIS #%d", i) + return None + ownpaxis = hdf_node.attrs.get('primary') + own_axis = hdf_node.attrs.get('axis') + assert own_axis is int, 'axis is not int type!' + # also convention v1 + if ownpaxis is int and ownpaxis == 1: + LOGGER.info("Dataset referenced (v2) as NXdata AXIS #%d", own_axis - 1) + return None + if not (ownpaxis is int and ownpaxis == 1): + LOGGER.info( + "Dataset referenced (v2) as NXdata (primary/alternative) AXIS #%d", own_axis - 1) + return None + return None + + +def chk_nxdataaxis(hdf_node, name, loger): + """NEXUS Data Plotting Standard v3: new version from 2014 + +""" + # check if it is a field in an NXdata node + if not isinstance(hdf_node, h5py.Dataset): + return None + parent = hdf_node.parent + if not parent or (parent and not parent.attrs.get('NX_class') == "NXdata"): + return None + # chk for Signal + signal = parent.attrs.get('signal') + if signal and name == signal: + loger.info("Dataset referenced as NXdata SIGNAL") + return None + # check for default Axes + axes = parent.attrs.get('axes') + if axes is str: + if name == axes: + loger.info("Dataset referenced as NXdata AXIS") + return None + elif axes is not None: + for i, j in enumerate(axes): + if name == j: + indices = parent.attrs.get(j + '_indices') + if indices is int: + loger.info("Dataset referenced as NXdata AXIS #%d" % indices) + else: + loger.info("Dataset referenced as NXdata AXIS #%d" % i) + return None + # check for alternative Axes + indices = parent.attrs.get(name + '_indices') + if indices is int: + loger.info("Dataset referenced as NXdata alternative AXIS #%d" % indices) + # check for older conventions + return chk_nxdataaxis_v2(hdf_node, name) + + +def get_nxdl_doc(hdf_node, loger, doc, attr=False): + """Get nxdl documentation for an HDF5 node (or its attribute) + +""" + nxdef = get_nxdl_entry(hdf_node) + nxdl_file_path = f"{get_nexus_definitions_path()}{os.sep}applications{os.sep}{nxdef}.nxdl.xml" + elem = ET.parse(nxdl_file_path).getroot() + nxdl_path = [elem] + path = get_nx_class_path(hdf_node) + req_str = None + for group in path.split('/')[1:]: + if group.startswith('NX'): + elem = get_nxdl_child(elem, group) + if elem is not None: + if doc: + loger.info("/" + group) + nxdl_path.append(elem) + else: + if doc: + loger.info("/" + group + " - IS NOT IN SCHEMA") + else: + if elem is not None: + elem = get_nxdl_child(elem, group) + nxdl_path.append(elem) + if elem is not None: + if attr: + if doc: + loger.info("/" + group) + else: + if doc: + loger.info("/" + group + ' [' + get_nx_class(elem) + ']') + else: + if doc: + loger.info("/" + group + " - IS NOT IN SCHEMA") + if elem is not None and attr: + # NX_class is a compulsory attribute for groups in a nexus file + # which should match the type of the corresponding NXDL element + if attr == 'NX_class' and not isinstance(hdf_node, h5py.Dataset): + elem = None + if doc: + loger.info("@" + attr + ' [NX_CHAR]') + # units category is a compulsory attribute for any fields + elif attr == 'units' and isinstance(hdf_node, h5py.Dataset): + req_str = "<>" + try: + # try to find if units is defined inside the field in the NXDL element + unit = elem.attrib[attr] + if doc: + loger.info("@" + attr + ' [' + unit + ']') + elem = None + nxdl_path.append(attr) + except KeyError: + # otherwise try to find if units is defined as a child of the NXDL element + elem = get_nxdl_child(elem, attr) + if elem is not None: + if doc: + loger.info("@" + attr + ' - [' + get_nx_class(elem) + ']') + nxdl_path.append(elem) + else: + # if no units category were defined in NXDL: + if doc: + loger.info("@" + attr + " - REQUIRED, but undefined unit category") + nxdl_path.append(attr) + # pass + # units for attributes can be given as ATTRIBUTENAME_units + elif attr.endswith('_units'): + # check for ATTRIBUTENAME_units in NXDL (normal) + elem2 = get_nxdl_child(elem, attr) + if elem2 is not None: + elem = elem2 + if doc: + loger.info("@" + attr + ' - [' + get_nx_class(elem) + ']') + nxdl_path.append(elem) + else: + # if not defined, check for ATTRIBUTENAME to see if the ATTRIBUTE + # is in the SCHEMA, but no units category were defined + elem2 = get_nxdl_child(elem, attr[:-6]) + if elem2 is not None: + req_str = '<>' + if doc: + loger.info("@" + attr + " - RECOMMENDED, but undefined unit category") + nxdl_path.append(attr) + else: + # otherwise: NOT IN SCHEMA + elem = elem2 + if doc: + loger.info("@" + attr + " - IS NOT IN SCHEMA") + # other attributes + else: + elem = get_nxdl_child(elem, attr) + if elem is not None: + if doc: + loger.info("@" + attr + ' - [' + get_nx_class(elem) + ']') + nxdl_path.append(elem) + else: + if doc: + loger.info("@" + attr + " - IS NOT IN SCHEMA") + + if (elem is None and req_str is None): + if doc: + loger.info("") + return ('None', None, None) + if req_str is None: + # check for being required + req_str = get_required_string(elem) + if doc: + loger.info(req_str) + if elem is not None: + # check for deprecation + dep_str = elem.attrib.get('deprecated') + if dep_str: + if doc: + loger.info("DEPRECATED - " + dep_str) + # check for enums + sdoc = get_nxdl_child(elem, 'enumeration') + if sdoc is not None: + if doc: + loger.info("enumeration:") + for item in sdoc: + if get_local_name_from_xml(item) == 'item': + if doc: + loger.info("-> " + item.attrib['value']) + # check for NXdata references (axes/signal) + chk_nxdataaxis(hdf_node, path.split('/')[-1], loger) + # check for doc + sdoc = get_nxdl_child(elem, 'doc') + if doc: + loger.info(get_local_name_from_xml(sdoc) if sdoc is not None else "") + return (req_str, nxdef, nxdl_path) + + +def get_doc(node, ntype, nxhtml, nxpath): + """Get documentation + + """ + # URL for html documentation + anchor = '' + for n_item in nxpath: + anchor += n_item.lower() + "-" + anchor = ('https://manual.nexusformat.org/classes/', + nxhtml + "#" + anchor.replace('_', '-') + ntype) + if not ntype: + anchor = anchor[:-1] + + # RST documentation from the field 'doc' + try: + doc = node.doc.pyval + except BaseException: + doc = "" + + # enums + (index, enums) = get_enums(node) + if index: + enum_str = "\n " + ("Possible values:" + if len(enums.split(',')) > 1 + else "Obligatory value:") + "\n " + enums + "\n" + else: + enum_str = "" + + return anchor, doc + enum_str + + +def print_doc(node, ntype, level, nxhtml, nxpath): + """Print documentation +""" + anchor, doc = get_doc(node, ntype, nxhtml, nxpath) + print(" " * (level + 1) + anchor) + + preferred_width = 80 + level * 2 + wrapper = textwrap.TextWrapper(initial_indent=' ' * (level + 1), width=preferred_width, + subsequent_indent=' ' * (level + 1), expand_tabs=False, + tabsize=0) + # doc=node.find('doc') + if doc is not None: + # for par in doc.text.split('\n'): + for par in doc.split('\n'): + print(wrapper.fill(par)) + # print(doc.text if doc is not None else "") + + +def get_namespace(element) -> str: + """Extracts the namespace for elements in the NXDL""" + return element.tag[element.tag.index("{"):element.tag.rindex("}") + 1] + + +def get_enums(node): + """ + makes list of enumerations, if node contains any. + Returns comma separated STRING of enumeration values, if there are enum tag, + otherwise empty string. + """ + # collect item values from enumeration tag, if any + namespace = get_namespace(node) + enums = [] + for enumeration in node.findall(f"{namespace}enumeration"): + for item in enumeration.findall(f"{namespace}item"): + enums.append(item.attrib["value"]) + enums = ','.join(enums) + if enums != "": + return (True, '[' + enums + ']') + # if there is no enumeration tag, returns empty string + return (False, "") + + +def get_node_at_nxdl_path(nxdl_path: str = None, + nx_name: str = None, + elem: Optional[ET.Element] = None): + """Returns an ET.Element for the given path. + +This function either takes the name for the Nexus Application Definition +we are looking for or the root elem from a previously loaded NXDL file +and finds the corresponding XML element with the needed attributes. + +""" + if elem is None: + nxdl_file_path = f"{get_nexus_definitions_path()}{os.sep}applications{os.sep}{nx_name}.nxdl.xml" + elem = ET.parse(nxdl_file_path).getroot() + for group in nxdl_path.split('/')[1:]: + elem = get_nxdl_child(elem, group) + if elem is None: + raise Exception(f"Attributes were not found for {nxdl_path}. " + "Please check this entry in the template dictionary.") + return elem + + +def process_node(hdf_node, hdf_path, parser, logger, doc=True): + """ + #processes an hdf5 node + #- it logs the node found and also checks for its attributes + #- retrieves the corresponding nxdl documentation + #TODO: + # - follow variants + # - NOMAD parser: store in NOMAD + """ + if isinstance(hdf_node, h5py.Dataset): + logger.info('===== FIELD (/%s): %s' % (hdf_path, hdf_node)) + val = str(hdf_node[()]).split('\n') if len(hdf_node.shape) <= 1 else str( + hdf_node[0]).split('\n') + logger.info('value: %s %s' % (val[0], "..." if len(val) > 1 else '')) + else: + logger.info('===== GROUP (/%s [%s::%s]): %s' % + (hdf_path, get_nxdl_entry(hdf_node), + get_nx_class_path(hdf_node), hdf_node)) + (req_str, nxdef, nxdl_path) = get_nxdl_doc(hdf_node, logger, doc) + if parser is not None and isinstance(hdf_node, h5py.Dataset): + parser(hdf_path, hdf_node, nxdef, nxdl_path, val) + for key, value in hdf_node.attrs.items(): + logger.info('===== ATTRS (/%s@%s)' % (hdf_path, key)) + val = str(value).split('\n') + logger.info('value: %s %s' % (val[0], "..." if len(val) > 1 else '')) + (req_str, nxdef, nxdl_path) = get_nxdl_doc(hdf_node, logger, doc, attr=key) + if parser is not None and 'NOT IN SCHEMA' not in req_str and 'None' not in req_str: + parser(hdf_path, hdf_node, nxdef, nxdl_path, val) + + +def get_default_plotable(root, logger): + """Get default plotable + +""" + logger.info('========================') + logger.info('=== Default Plotable ===') + logger.info('========================') + # v3 from 2014 + + # nxentry + nxentry = None + default_nxentry_group_name = root.attrs.get("default") + if default_nxentry_group_name: + try: + nxentry = root[default_nxentry_group_name] + except KeyError: + nxentry = None + if not nxentry: + nxentry = entry_helper(root) + if not nxentry: + logger.info('No NXentry has been found') # TODO the code always falls here, solve it + return + logger.info('') + logger.info('NXentry has been identified: ' + nxentry.name) + # process_node(nxentry, None, False) + # nxdata + nxdata = None + default_nxdata_group_name = nxentry.attrs.get("default") + if default_nxdata_group_name: + try: + nxdata = nxentry[default_nxdata_group_name] + except BaseException: + nxdata = None + if not nxdata: + nxdata = nxdata_helper(nxentry) + if not nxdata: + logger.info('No NXdata group has been found') + return + logger.info('') + logger.info('NXdata group has been identified: ' + nxdata.name) + process_node(nxdata, nxdata.name, None, logger, False) + # signal + signal = None + signal_dataset_name = nxdata.attrs.get("signal") + try: + signal = nxdata[signal_dataset_name] + except BaseException: + signal = None + if not signal: + signal = signal_helper(nxdata) + if not signal: + logger.info('No Signal has been found') + return + logger.info('') + logger.info('Signal has been identified: ' + signal.name) + process_node(signal, signal.name, None, logger, False) + dim = len(signal.shape) + # axes + axes = [] + axis_helper(dim, nxdata, signal, axes, logger) + + +def entry_helper(root): + """Check entry related data + +""" + nxentries = [] + for key in root.keys(): + if (isinstance(root[key], h5py.Group) and root[key].attrs.get('NX_class\ + ') and root[key].attrs['NX_class'] == "NXentry"): + nxentries.append(root[key]) + # v3: as there was no selection given, only 1 nxentry shall exists + # v2: take any + if len(nxentries) >= 1: + return nxentries[0] + return None + + +def nxdata_helper(nxentry): + """Check if nxentry hdf5 object has a NX_class and, if it contains NXdata, +return its value + +""" + lnxdata = [] + for key in nxentry.keys(): + if isinstance(nxentry[key], h5py.Group) and nxentry[key].attrs.get('NX_class\ + ') and nxentry[key].attrs['NX_class'] == "NXdata": + lnxdata.append(nxentry[key]) + # v3: as there was no selection given, only 1 nxdata shall exists + # v2: take any + if len(lnxdata) >= 1: + return lnxdata[0] + return None + + +def signal_helper(nxdata): + """Check signal related data + +""" + signals = [] + for key in nxdata.keys(): + if isinstance(nxdata[key], h5py.Dataset): + signals.append(nxdata[key]) + # v3: as there was no selection given, only 1 data field shall exists + if len(signals) == 1: + return signals[0] + # v2: select the one with an attribute signal="1" attribute + if len(signals) > 1: + for sig in signals: + if sig.attrs.get("signal") and sig.attrs.get("signal\ + ") is str and sig.attrs.get("signal") == "1": + return sig + return None + + +def axis_helper(dim, nxdata, signal, axes, logger): + """Check axis related data + +""" + for a_item in range(dim): + ax_list = [] + # primary axes listed in attribute axes + ax_datasets = nxdata.attrs.get("axes") + try: + # single axis is defined + if ax_datasets is str: + # explicite definition of dimension number + ind = nxdata.attrs.get(ax_datasets + '_indices') + if ind and ind is int: + if ind == a_item: + ax_list.append(nxdata[nxdata[ax_datasets]]) + # positional determination of the dimension number + elif a_item == 0: + ax_list.append(nxdata[nxdata[ax_datasets]]) + # multiple axes are listed + else: + # explicite definition of dimension number + for aax in ax_datasets: + ind = nxdata.attrs.get(aax + '_indices') + if ind and ind is int: + if ind == a_item: + ax_list.append(nxdata[nxdata[aax]]) + # positional determination of the dimension number + if not ax_list: + ax_list.append(nxdata[ax_datasets[a_item]]) + except BaseException: + pass + # check for corresponding AXISNAME_indices + for attr in nxdata.attrs.keys(): + if attr.endswith('_indices') and nxdata.sttrs[attr] == a_item: + ax_list.append(nxdata[attr.split('_indices')[0]]) + # v2 + # check for ':' separated axes defined in Signal + if not ax_list: + try: + ax_datasets = signal.attrs.get("axes").split(':') + ax_list.append(nxdata[ax_datasets[a_item]]) + except BaseException: + pass + # check for axis/primary specifications + if not ax_list: + # find those with attribute axis= actual dimension number + lax = [] + for key in nxdata.keys(): + if isinstance(nxdata[key], h5py.Dataset): + try: + if nxdata[key].attrs['axis'] == a_item + 1: + lax.append(nxdata[key]) + except BaseException: + pass + if len(lax) == 1: + ax_list.append(lax[0]) + # if there are more alternatives, prioritise the one with an attribute primary="1" + elif len(lax) > 1: + for sax in lax: + if sax.attrs.get('primary') and sax.attrs.get('primary') == 1: + ax_list.insert(0, sax) + else: + ax_list.append(sax) + axes.append(ax_list) + logger.info('') + logger.info('For Axis #%d, %d axes have been identified: %s\ + ' % (a_item, len(ax_list), str(ax_list))) + + +class HandleNexus: + """documentation + +""" + def __init__(self, logger, args): + self.logger = logger + self.input_file_name = args[0] if len( + # args) >= 1 else 'wcopy/from_dallanto_master_from_defs.h5' + # args) >= 1 else 'ARPES/201805_WSe2_arpes.nxs' + args) >= 1 else 'tests/data/nexus_test_data/201805_WSe2_arpes.nxs' + self.parser = None + self.in_file = None + + def visit_node(self, hdf_name, hdf_node): + """Function called by h5py that iterates on each node of hdf5file. + + It allows h5py visititems function to visit nodes. + + """ + hdf_path = '/' + hdf_name + process_node(hdf_node, hdf_path, self.parser, self.logger) + + def process_nexus_master_file(self, parser): + """ + Process a nexus master file by processing all its nodes and their attributes + + """ + self.parser = parser + self.in_file = h5py.File(self.input_file_name, 'r') + self.in_file.visititems(self.visit_node) + get_default_plotable(self.in_file, self.logger) + self.in_file.close() + + +if __name__ == '__main__': + LOGGING_FORMAT = "%(levelname)s: %(message)s" + STDOUT_HANDLER = logging.StreamHandler(sys.stdout) + STDOUT_HANDLER.setLevel(logging.DEBUG) + logging.basicConfig(level=logging.DEBUG, format=LOGGING_FORMAT, handlers=[STDOUT_HANDLER]) + LOGGER = logging.getLogger() + NEXUS_HELPER = HandleNexus(LOGGER, sys.argv[1:]) + NEXUS_HELPER.process_nexus_master_file(None) diff --git a/nexusparser/tools/read_nexus.py b/nexusparser/tools/read_nexus.py deleted file mode 100644 index 4276825ba..000000000 --- a/nexusparser/tools/read_nexus.py +++ /dev/null @@ -1,679 +0,0 @@ -# Nexus definitions in github: https://github.com/nexusformat/definitions -# to be cloned under os.environ['NEXUS_DEF_PATH'] - -import os -import h5py -import sys -from lxml import etree, objectify -import logging -import subprocess -import textwrap - -# LOGGING_FORMAT = "%(levelname)s: %(message)s" -# stdout_handler = logging.StreamHandler(sys.stdout) -# stdout_handler.setLevel(logging.DEBUG) -# logging.basicConfig(level=logging.DEBUG, format=LOGGING_FORMAT, handlers=[stdout_handler]) -# logger = logging.getLogger() - -# check for NEXUS definitions -try: - # either given by sys env - nexusDefPath = os.environ['NEXUS_DEF_PATH'] -except BaseException: - # or it should be available locally under the dir 'definitions' - localDir = os.path.abspath(os.path.dirname(__file__)) - nexusDefPath = os.path.join(localDir, '../definitions') - - -def get_nx_class_path(hdfNode): - """ - #get the full path of an HDF5 node using nexus classes - #in case of a field, end with the field name - """ - - if hdfNode.name == '/': - return '' - elif isinstance(hdfNode, h5py.Group): - return get_nx_class_path( - hdfNode.parent) + '/' + hdfNode.attrs['NX_class'] - elif isinstance(hdfNode, h5py.Dataset): - return get_nx_class_path( - hdfNode.parent) + '/' + hdfNode.name.split('/')[-1] - return '' - - -def get_nxdl_entry(hdfNode): - """ #get the nxdl application definition for an HDF5 node """ - - entry = hdfNode - while isinstance(entry, - h5py.Dataset) or entry.attrs['NX_class'] != 'NXentry': - entry = entry.parent - if entry.name == '/': - return 'NO NXentry found' - try: - nxdef = entry['definition'][()] - return nxdef.decode() - except BaseException: - return 'NO Definition referenced' - - -def get_nx_class(nxdlElem): - """ #get the nexus class for a NXDL node """ - - try: - return nxdlElem.attrib['type'] - except BaseException: - return 'NX_CHAR' - - -def get_nx_namefit(hdfName, name): - """ - #checks if an HDF5 node name corresponds to a child of the NXDL element - #uppercase letters in front can be replaced by arbitraty name, but - #uppercase to lowercase match is preferred, - #so such match is counted as a measure of the fit - """ - # count leading capitals - ct = 0 - while ct < len(name) and name[ct] >= 'A' and name[ct] <= 'Z': - ct += 1 - # if potential fit - if ct == len(name) or hdfName.endswith(name[ct:]): - # count the matching chars - fit = 0 - for i in range(max(ct, len(hdfName))): - if hdfName[i].upper() == name[i]: - fit += 1 - else: - break - # accept only full fits as better fits - if fit == max(ct, len(hdfName)): - return fit - return 0 - # no fit - return -1 - - -def get_node_name(node): - ''' - node - xml node - returns: - html documentation name - Either as specified by the 'name' or taken from the type (nx_class). - Note that if only class name is available, the NX prefix is removed and - the string is coverted to UPPER case. - ''' - if 'name' in node.attrib.keys(): - name = node.attrib['name'] - else: - name = node.attrib['type'] - if name.startswith('NX'): - name = name[2:].upper() - return name - - -def belongs_to(nxdlElem, child, hdfName): - """ - #checks if an HDF5 node name corresponds to a child of the NXDL element - #uppercase letters in front can be replaced by arbitraty name, but - #uppercase to lowercase match is preferred - """ - - # check if nameType allows different name - try: - if child.attrib['nameType'] == "any": - nameAny = True - else: - nameAny = False - except BaseException: - nameAny = False - childname = get_node_name(child) - name = hdfName[2:].upper() if hdfName.startswith('NX') and 'name' not in child.attrib else hdfName - # and no reserved words used - if nameAny and name != 'doc' and name != 'enumeration': - # check if name fits - fit = get_nx_namefit(name, childname) - if fit < 0: - return False - for child2 in nxdlElem.getchildren(): - if etree.QName(child).localname != etree.QName(child2).localname or get_node_name(child2) == childname: - continue - # check if the name of another sibling fits better - fit2 = get_nx_namefit(name, get_node_name(child2)) - if fit2 > fit: - return False - # accept this fit - return True - else: - if childname == name: - return True - return False - - -def get_own_nxdl_child(nxdlElem, name): - """ - checks if an NXDL child node fits to the specific name - """ - for child in nxdlElem.getchildren(): - if etree.QName(child).localname == 'group' and belongs_to(nxdlElem, child, name): # get_nx_class(child) == name: - return child - if etree.QName(child).localname == 'field' and belongs_to(nxdlElem, child, name): - return child - if etree.QName(child).localname == 'attribute' and belongs_to(nxdlElem, - child, name): - return child - if etree.QName(child).localname == 'doc' and name == 'doc': - return child - if etree.QName( - child).localname == 'enumeration' and name == 'enumeration': - return child - return None - - -def get_nxdl_child(nxdlElem, name): - """ - #get the NXDL child node corresponding to a specific name - #(e.g. of an HDF5 node,or of a documentation) - #note that if child is not found in application definition, it also checks for the base classes - """ - - ownChild = get_own_nxdl_child(nxdlElem, name) - if ownChild is not None: - return ownChild - # check in the base class - bc_name = get_nx_class(nxdlElem) - # filter primitive types - if bc_name[2] == '_': - return None - bc = objectify.parse(nexusDefPath + '/base_classes/' + bc_name + '.nxdl.xml').getroot() - return get_own_nxdl_child(bc, name) - - -def get_required_string(nxdlElem): - """ - #check for being required - # REQUIRED, RECOMMENDED, OPTIONAL, NOT IN SCHEMA - """ - - if nxdlElem is None: - return "<>" - # if optionality is defined - elif ('optional' in nxdlElem.attrib.keys() and nxdlElem.attrib['optional'] == "true") or \ - ('minOccurs' in nxdlElem.attrib.keys() and nxdlElem.attrib['minOccurs'] == "0") or \ - ('required' in nxdlElem.attrib.keys() and nxdlElem.attrib['required'] == "false"): - return "<>" - elif ('optional' in nxdlElem.attrib.keys() and nxdlElem.attrib['optional'] == "false") or \ - ('minOccurs' in nxdlElem.attrib.keys() and int(nxdlElem.attrib['minOccurs']) > 0) or \ - ('required' in nxdlElem.attrib.keys() and nxdlElem.attrib['required'] == "true"): - return "<>" - # new expression for being recommended - elif 'recommended' in nxdlElem.attrib.keys() and nxdlElem.attrib['recommended'] == "true": - return "<>" - # default optionality - # in BASE CLASSES: true - # in APPLICATIONS: false - elif "base_classes" in nxdlElem.base: - return "<>" - return "<>" - - -def chk_NXdataAxis_v2(hdfNode, name): - # check for being a Signal - ownSignal = hdfNode.attrs.get('signal') - if ownSignal is str and ownSignal == "1": - logger.info("Dataset referenced (v2) as NXdata SIGNAL") - # check for being an axis - ownAxes = hdfNode.attrs.get('axes') - if ownAxes is str: - axes = ownAxes.split(':') - for i in len(axes): - if axes[i] and name == axes[i]: - logger.info("Dataset referenced (v2) as NXdata AXIS #%d" % i) - return - ownPAxis = hdfNode.attrs.get('primary') - ownAxis = hdfNode.attrs.get('axis') - if ownAxis is int: - # also convention v1 - if ownPAxis is int and ownPAxis == 1: - logger.info("Dataset referenced (v2) as NXdata AXIS #%d" % - ownAxis - 1) - return - else: - logger.info( - "Dataset referenced (v2) as NXdata (primary/alternative) AXIS #%d" - % ownAxis - 1) - return - - -def chk_NXdataAxis(hdfNode, name, logger): - """ - NEXUS Data Plotting Standard v3: new version from 2014 - """ - # check if it is a field in an NXdata node - if not isinstance(hdfNode, h5py.Dataset): - return - parent = hdfNode.parent - if not parent or (parent and not "NXdata" == parent.attrs.get('NX_class')): - return - # chk for Signal - signal = parent.attrs.get('signal') - if signal and name == signal: - logger.info("Dataset referenced as NXdata SIGNAL") - return - # check for default Axes - axes = parent.attrs.get('axes') - axisFnd = False - if axes is str: - if name == axes: - logger.info("Dataset referenced as NXdata AXIS") - return - elif axes is not None: - for i in range(len(axes)): - if name == axes[i]: - indices = parent.attrs.get(axes[i] + '_indices') - if indices is int: - logger.info("Dataset referenced as NXdata AXIS #%d" % - indices) - else: - logger.info("Dataset referenced as NXdata AXIS #%d" % i) - return - # check for alternative Axes - indices = parent.attrs.get(name + '_indices') - if indices is int: - logger.info("Dataset referenced as NXdata alternative AXIS #%d" % - indices) - # check for older conventions - return chk_NXdataAxis_v2(hdfNode, name) - - -def get_nxdl_doc(hdfNode, logger, doc, attr=False): - """get nxdl documentation for an HDF5 node (or its attribute)""" - - nxdef = get_nxdl_entry(hdfNode) - root = objectify.parse(nexusDefPath + "/applications/" + nxdef + ".nxdl.xml") - elem = root.getroot() - nxdlPath = [elem] - path = get_nx_class_path(hdfNode) - REQstr = None - for group in path.split('/')[1:]: - if group.startswith('NX'): - elem = get_nxdl_child(elem, group) - if elem is not None: - if doc: logger.info("/" + group) - nxdlPath.append(elem) - else: - if doc: logger.info("/" + group + " - IS NOT IN SCHEMA") - else: - if elem is not None: - elem = get_nxdl_child(elem, group) - nxdlPath.append(elem) - if elem is not None: - if attr: - if doc: logger.info("/" + group) - else: - if doc: logger.info("/" + group + ' [' + get_nx_class(elem) + ']') - else: - if doc: logger.info("/" + group + " - IS NOT IN SCHEMA") - if elem is not None and attr: - # NX_class is a compulsory attribute for groups in a nexus file - # which should match the type of the corresponding NXDL element - if attr == 'NX_class' and not isinstance(hdfNode, h5py.Dataset): - elem = None - if doc: logger.info("@" + attr + ' [NX_CHAR]') - # units category is a compulsory attribute for any fields - elif attr == 'units' and isinstance(hdfNode, h5py.Dataset): - REQstr = "<>" - try: - # try to find if units is deinfed inside the field in the NXDL element - unit = elem.attrib[attr] - if doc: logger.info("@" + attr + ' [' + unit + ']') - elem = None - nxdlPath.append(attr) - except BaseException: - # otherwise try to find if units is defined as a child of the NXDL element - elem = get_nxdl_child(elem, attr) - if elem is not None: - if doc: logger.info("@" + attr + ' - [' + get_nx_class(elem) + ']') - nxdlPath.append(elem) - else: - # if no units category were defined in NXDL: - if doc: logger.info("@" + attr + " - REQUIRED, but undefined unit category") - nxdlPath.append(attr) - pass - # units for attributes can be given as ATTRIBUTENAME_units - elif attr.endswith('_units'): - # check for ATTRIBUTENAME_units in NXDL (normal) - elem2 = get_nxdl_child(elem, attr) - if elem2 is not None: - elem = elem2 - if doc: logger.info("@" + attr + ' - [' + get_nx_class(elem) + ']') - nxdlPath.append(elem) - else: - # if not defined, check for ATTRIBUTENAME to see if the ATTRIBUTE is in the SCHEMA, but no units category were defined - elem2 = get_nxdl_child(elem, attr[:-6]) - if elem2 is not None: - REQstr = '<>' - if doc: logger.info("@" + attr + " - RECOMMENDED, but undefined unit category") - nxdlPath.append(attr) - else: - # otherwise: NOT IN SCHEMA - elem = elem2 - if doc: logger.info("@" + attr + " - IS NOT IN SCHEMA") - # other attributes - else: - elem = get_nxdl_child(elem, attr) - if elem is not None: - if doc: logger.info("@" + attr + ' - [' + get_nx_class(elem) + ']') - nxdlPath.append(elem) - else: - if doc: logger.info("@" + attr + " - IS NOT IN SCHEMA") - if elem is None and REQstr is None: - if doc: logger.info("") - return ('None', None, None, None) - else: - if REQstr is None: - # check for being required - REQstr = get_required_string(elem) - if doc: logger.info(REQstr) - if elem is not None: - # check for deprecation - depStr = elem.attrib.get('deprecated') - if depStr: - if doc: logger.info("DEPRECATED - " + depStr) - # check for enums - sdoc = get_nxdl_child(elem, 'enumeration') - if sdoc is not None: - if doc: logger.info("enumeration:") - for item in sdoc.getchildren(): - if etree.QName(item).localname == 'item': - if doc: logger.info("-> " + item.attrib['value']) - # check for NXdata references (axes/signal) - chk_NXdataAxis(hdfNode, path.split('/')[-1], logger) - # check for doc - sdoc = get_nxdl_child(elem, 'doc') - if doc: logger.info(sdoc if sdoc is not None else "") - return (REQstr, elem, nxdef, nxdlPath) - - -def get_doc(node, ntype, level, nxhtml, nxpath): - # URL for html documentation - anchor = '' - for n in nxpath: - anchor += n.lower() + "-" - anchor = 'https://manual.nexusformat.org/classes/' + nxhtml + "#" + anchor.replace('_', '-') + ntype - if len(ntype) == 0: - anchor = anchor[:-1] - - # RST documentation from the field 'doc' - try: - doc = node.doc.pyval - except BaseException: - doc = "" - - # enums - (o, enums) = get_enums(node) - if o: - enum_str = "\n " + ("Possible values:" if len(enums.split(',')) > 1 else "Obligatory value:") + "\n " + enums + "\n" - else: - enum_str = "" - - return anchor, doc + enum_str - - -def print_doc(node, ntype, level, nxhtml, nxpath): - anchor, doc = get_doc(node, ntype, level, nxhtml, nxpath) - print(" " * (level + 1) + anchor) - - preferredWidth = 80 + level * 2 - wrapper = textwrap.TextWrapper(initial_indent=' ' * (level + 1), width=preferredWidth, - subsequent_indent=' ' * (level + 1), expand_tabs=False, tabsize=0) - # doc=node.find('doc') - if doc is not None: - # for par in doc.text.split('\n'): - for par in doc.split('\n'): - print(wrapper.fill(par)) - # print(doc.text if doc is not None else "") - - -def get_enums(node): - """ - makes list of enumerations, if node contains any. - Returns comma separated STRING of enumeration values, if there are enum tag, - otherwise empty string. - """ - # collect item values from enumeration tag, if any - try: - for items in node.enumeration: - enums = [] - for values in items.findall('item'): - enums.append("'" + values.attrib['value'] + "'") - enums = ','.join(enums) - return (True, '[' + enums + ']') - # if there is no enumeration tag, returns empty string - except BaseException: - return (False, '') - - -def nxdl_to_attr_obj(nxdlPath): - """ - Finds the path entry in NXDL file - Grabs all the attrs in NXDL entry - Checks Nexus base application defs for missing attrs and adds them as well - returns attr as a Python obj that can be directly placed into the h5py library - """ - nxdef = nxdlPath.split(':')[0] - root = objectify.parse(nexusDefPath + "/applications/" + nxdef + ".nxdl.xml") - elem = root.getroot() - path = nxdlPath.split(':')[1] - for group in path.split('/')[1:]: - elem = get_nxdl_child(elem, group) - return elem - - -def process_node(hdfNode, parser, logger, doc=True): - """ - #processes an hdf5 node - #- it logs the node found and also checks for its attributes - #- retrieves the corresponding nxdl documentation - #TODO: - # - follow variants - # - NOMAD parser: store in NOMAD - """ - hdfPath = hdfNode.name - if isinstance(hdfNode, h5py.Dataset): - logger.info('===== FIELD (/%s): %s' % (hdfPath, hdfNode)) - val = str(hdfNode[()]).split('\n') if len(hdfNode.shape) <= 1 else str( - hdfNode[0]).split('\n') - logger.info('value: %s %s' % (val[0], "..." if len(val) > 1 else '')) - else: - logger.info('===== GROUP (/%s [%s::%s]): %s' % - (hdfPath, get_nxdl_entry(hdfNode), - get_nx_class_path(hdfNode), hdfNode)) - (REQstr, elem, nxdef, nxdlPath) = get_nxdl_doc(hdfNode, logger, doc) - if parser is not None and isinstance(hdfNode, h5py.Dataset): - parser(hdfPath, hdfNode, nxdef, nxdlPath, val) - for k, v in hdfNode.attrs.items(): - logger.info('===== ATTRS (/%s@%s)' % (hdfPath, k)) - val = str(v).split('\n') - logger.info('value: %s %s' % (val[0], "..." if len(val) > 1 else '')) - (REQstr, elem, nxdef, nxdlPath) = get_nxdl_doc(hdfNode, logger, doc, attr=k) - if parser is not None and 'NOT IN SCHEMA' not in REQstr and 'None' not in REQstr: - parser(hdfPath, hdfNode, nxdef, nxdlPath, val) - - -def get_default_plotable(root, parser, logger): - logger.info('========================') - logger.info('=== Default Plotable ===') - logger.info('========================') - # v3 from 2014 - - # nxentry - nxentry = None - default_nxentry_group_name = root.attrs.get("default") - if default_nxentry_group_name: - try: - nxentry = root[default_nxentry_group_name] - except BaseException: - nxentry = None - if not nxentry: - nxentries = [] - for key in root.keys(): - if isinstance(root[key], h5py.Group) and root[key].attrs.get('NX_class') and root[key].attrs['NX_class'] == "NXentry": - nxentries.append(root[key]) - # v3: as there was no selection given, only 1 nxentry shall exists - # v2: take any - if len(nxentries) >= 1: - nxentry = nxentries[0] - if not nxentry: - logger.info('No NXentry has been found') - return - logger.info('') - logger.info('NXentry has been identified: ' + nxentry.name) - # process_node(nxentry, None, False) - # nxdata - nxdata = None - default_nxdata_group_name = nxentry.attrs.get("default") - if default_nxdata_group_name: - try: - nxdata = nxentry[default_nxdata_group_name] - except BaseException: - nxdata = None - if not nxdata: - lnxdata = [] - for key in nxentry.keys(): - if isinstance(nxentry[key], h5py.Group) and nxentry[key].attrs.get('NX_class') and nxentry[key].attrs['NX_class'] == "NXdata": - lnxdata.append(nxentry[key]) - # v3: as there was no selection given, only 1 nxdata shall exists - # v2: take any - if len(lnxdata) >= 1: - nxdata = lnxdata[0] - if not nxdata: - logger.info('No NXdata group has been found') - return - logger.info('') - logger.info('NXdata group has been identified: ' + nxdata.name) - process_node(nxdata, None, logger, False) - # signal - signal = None - signal_dataset_name = nxdata.attrs.get("signal") - try: - signal = nxdata[signal_dataset_name] - except BaseException: - signal = None - if not signal: - signals = [] - for key in nxdata.keys(): - if isinstance(nxdata[key], h5py.Dataset): - signals.append(nxdata[key]) - # v3: as there was no selection given, only 1 data field shall exists - if len(signals) == 1: - signal = signals[0] - # v2: select the one with an attribute signal="1" attribute - elif len(signals) > 1: - for s in signals: - if s.attrs.get("signal") and s.attrs.get("signal") is str and s.attrs.get("signal") == "1": - signal = s - break - if not signal: - logger.info('No Signal has been found') - return - logger.info('') - logger.info('Signal has been identified: ' + signal.name) - process_node(signal, None, logger, False) - dim = len(signal.shape) - # axes - axes = [] - for a in range(dim): - ax = [] - # primary axes listed in attribute axes - ax_datasets = nxdata.attrs.get("axes") - try: - # single axis is defined - if ax_datasets is str: - # explicite definition of dimension number - ind = nxdata.attrs.get(ax_datasets + '_indices') - if ind and ind is int: - if ind == a: - ax.append(nxdata[nxdata[ax_datasets]]) - # positional determination of the dimension number - elif a == 0: - ax.append(nxdata[nxdata[ax_datasets]]) - # multiple axes are listed - else: - # explicite definition of dimension number - for aax in ax_datasets: - ind = nxdata.attrs.get(aax + '_indices') - if ind and ind is int: - if ind == a: - ax.append(nxdata[nxdata[aax]]) - # positional determination of the dimension number - if len(ax) == 0: - ax.append(nxdata[ax_datasets[a]]) - except BaseException: - pass - # check for corresponding AXISNAME_indices - for attr in nxdata.attrs.keys(): - if attr.endswith('_indices') and nxdata.sttrs[attr] == a: - ax.append(nxdata[attr.split('_indices')[0]]) - # v2 - # check for ':' separated axes defined in Signal - if len(ax) == 0: - try: - ax_datasets = signal.attrs.get("axes").split(':') - ax.append(nxdata[ax_datasets[a]]) - except BaseException: - pass - # check for axis/primary specifications - if len(ax) == 0: - # find those with attribute axis= actual dimension number - lax = [] - for key in nxdata.keys(): - if isinstance(nxdata[key], h5py.Dataset): - try: - if nxdata[key].attrs['axis'] == a + 1: - lax.append(nxdata[key]) - except BaseException: - pass - if len(lax) == 1: - ax.append(lax[0]) - # if there are more alternatives, prioritise the one with an attribute primary="1" - elif len(lax) > 1: - for sax in lax: - if sax.attrs.get('primary') and sax.attrs.get('primary') == 1: - ax.insert(0, sax) - else: - ax.append(sax) - axes.append(ax) - logger.info('') - logger.info('For Axis #%d, %d axes have been identified: %s' % (a, len(ax), str(ax))) - - -class HandleNexus: - def __init__(self, logger, args): - self.logger = logger - self.input_file_name = args[0] if len( - # args) >= 1 else 'wcopy/from_dallanto_master_from_defs.h5' - # args) >= 1 else 'ARPES/201805_WSe2_arpes.nxs' - args) >= 1 else 'tests/data/nexus_test_data/201805_WSe2_arpes.nxs' - - def visit_node(self, hdfPath, hdfNode): - process_node(hdfNode, self.parser, self.logger) - - def process_nexus_master_file(self, parser): - """ Process a nexus master file by processing all its nodes and their attributes""" - self.parser = parser - self.in_file = h5py.File(self.input_file_name, 'r') - self.in_file.visititems(self.visit_node) - get_default_plotable(self.in_file, self.parser, self.logger) - self.in_file.close() - - -if __name__ == '__main__': - LOGGING_FORMAT = "%(levelname)s: %(message)s" - stdout_handler = logging.StreamHandler(sys.stdout) - stdout_handler.setLevel(logging.DEBUG) - logging.basicConfig(level=logging.DEBUG, format=LOGGING_FORMAT, handlers=[stdout_handler]) - logger = logging.getLogger() - nexus_helper = HandleNexus(logger, sys.argv[1:]) - nexus_helper.process_nexus_master_file(None) diff --git a/nexusparser/tools/yaml2nxdl/NXmpes_core_draft.yml b/nexusparser/tools/yaml2nxdl/NXmpes_core_draft.yml deleted file mode 100644 index 1d485a824..000000000 --- a/nexusparser/tools/yaml2nxdl/NXmpes_core_draft.yml +++ /dev/null @@ -1,193 +0,0 @@ -#pincelli at fhi-berlin.mpg.de, 11/2021 -#a draft version of a NeXus application definition for arpes, -#the existing NXarpes is too restrictive, this application definition aims at generalizing it -#to be agnostic of the experimental details. -#the draft uses the application example of a simple 2D slice through the k-space, the elementary unit of -#arpes measurements. -#It uses only existing NeXus base classes. It is designed to be extended by other application definitions -# with higher granularity in the data description. - -name: NXmpes_core # Decided to use "core" and not "base" to avoid confusion with "base class". This is the most general (core) appdef. -doc: This is the most general application definition for multidimensional photoelectron spectroscopy. -symbols: - doc: The symbols used in the schema to specify e.g. dimensions of arrays - nfa: Number of fast axes (acquired simutaneously) e.g. emission angle, kinetic energy - nsa: Number of slow axes (acquired scanning a physical quantity) e.g. lens voltage, photon energy or temperature - nx: Number of points in the first angular direction - ne: Number of points in the energy dispersion direction -category: application # Defaults "exists" to "required" -#draft the application definition -(NXentry): - \@entry: - doc: "NeXus convention is to use \"entry1\", \"entry2\", for analysis software to locate each entry." - title: - start_time(NX_DATE_TIME): - definition: - \@version: # New approach of NIAC: version controlled application definitions. - doc: Official NeXus NXDL schema to which this file conforms. - enumeration: [NXmpes_core] - (NXinstrument): - (NXsource): - type: - name: - probe: - enumeration: [x-ray,ultraviolet] - (NXbeam): # Describes the beam at the sample. - doc: Properties of the beam at the sample. - distance(NX_NUMBER): - doc: Distance of the point of evaluation of the beam from the sample. - unit: NX_LENGTH - incident_energy(NX_NUMBER): - doc: Incident photon energy. - unit: NX_ENERGY - incident_energy_spread(NX_NUMBER): # Ahead of base class - exists: recommended - doc: FWHM energy linewidth of the incident photons. - unit: NX_ENERGY - # Not in NIAC. incident_wavelength_spread exists but is uncomfortable for photoemission people. - incident_polarization(NX_NUMBER): - exists: recommended - doc: Incident polarization specified as a Stokes vector. - exists: optional - unit: NX_ANY - dimensions: - rank: 1 - dim: [[1, 4]] - # In NIAC "incident_polarization" is a 2-vector of floats. - # It is not explained but looks like a real-valued Jones vector, which - # cannot describe circular or partially polarized. - # Extended to a 4-vector of floats. - # It is then meant to be represented as a Stokes vector. - (NXelectronanalyser): - description: - doc: Free text description of the type of detector. - energy_resolution(NX_NUMBER): # Ahead of base class - doc: Energy resolution of the analyser with the current setting. - unit: NX_ENERGY - momentum_resolution(NX_NUMBER): # Ahead of base class - doc: Momentum resolution of the analyser with the current setting. - unit: NX_WAVENUMBER - fast_axes: - doc: List of the axes that are acquired symultaneously by the detector - dimensions: - rank: 1 - dim: [[1,nfa]] - slow_axes: - doc: List of the axes that are acquired by scanning a physical parameter, listed in order of decreasing speed. - dimensions: - rank: 1 - dim: [[1,nsa]] - # Examples: Fermi surface maps at every step of a temperature ramp. - # With an hemispherical: - # fast_axes: [energy,kx] - # slow_axes: [ky,temperature] - # With a tof: - # fast_axes: [energy, kx, ky] - # slow_axes: [temperature] - # axes can be less abstract than this, i.e. [detector_x, detector_y] and [manipulator_angle, temperature] - (NXcollectionlens): - scheme: #Ahead of base class - doc: Scheme of collector lens. - enumeration: [Standard, Deflector, PEEM, Momentum Microscope] - lens_mode: - exists: recommended - doc: Labelling of a standard lens setting - projection: - doc: The space projected in the angularly dispersive directions, i.e. real or reciprocal - enumeration: [real, reciprocal] - (NXaperture): # Ahead of base class - exists: recommended - doc: aperture generating the momentum and/or energy filtering - description: - enumeration: [slit,pinhole,iris] - shape: - description: - doc: Shape of the aperture, curved or straight for horizontal slits, square or round for pinhole etc. - enumeration: [curved, straight, circle, square, hexagon, octagon, bladed] - size(NX_NUMBER): - doc: The relevant dimension for the aperture (slit width, pinhole diameter etc.) - unit: NX_LENGTH - (NXenergydispersion): - scheme: - doc: Energy dispersion scheme employed. - enumeration: [tof, hemispherical, cylindrical mirror, display mirror, retarding grid] - pass_energy(NX_NUMBER): - doc: energy of the electrons on the mean path of the analyser - unit: NX_ENERGY - energy_scan_mode: # Ahead of base class - doc: Way of scanning the energy axis (fixed or sweep) - enumeration: [fixed,sweep] - (NXdetector): - amplifier_type: - doc: Type of electron amplifier. - enumeration: [MCP, channeltron] # channeltron might be used for some 1D applications such as spin detectors. - detector_type: - doc: Description of the detector type. - enumeration: [DLD,Phosphor+CCD,Phosphor+CMOS,ECMOS] - sensor_pixels(NX_INT): # Ahead of base class - doc: Number of raw active element in each dimension. Important for swept scans. - dimensions: - rank: 1 - dim: [[1, 2]] - (NXdata): # Raw signal without calibrated axes - exists: recommended - \@signal: raw # There is an object named raw that contains the signal - raw(NX_NUMBER): # There is a block of numbers named raw. - (NXprocess): - calculated_kx(NX_FLOAT): - exists: recommended - doc: calibrated kx momentum axis - unit: NX_WAVENUMBER - dimensions: - rank: 1 - dim: [[1, nx]] - calculated_energy(NX_FLOAT): - exists: recommended - doc: calibrated energy axis - unit: NX_ENERGY - dimensions: - rank: 1 - dim: [[1, ne]] - (NXdistortion): - applied(NX_BOOLEAN): - doc: Has a distortion correction been applied? - (NXregistration): - applied(NX_BOOLEAN): - doc: Has an image registration been applied? - energy_calibration(NXcalibration): - applied(NX_BOOLEAN): - doc: Has an energy calibration been applied? - (NXcalibration): - applied(NX_BOOLEAN): - doc: Has a momentum calibration been applied? - (NXsample): - name: - doc: Simple and descriptive name of the sample - chemical_formula: - doc: Chemical formula of the sample - sample_history: - exists: optional - doc: Ideally, a reference to the location or a unique identifier or other metadata file. In the case that is not available, free-text description. - preparation_date(NX_DATE_TIME): - exists: recommended - doc: ISO 8601 date of preparation of the sample for the ARPES experiment (i.e. cleaving, last annealing). - unit: NX_TIME - description: - doc: Free-text surface preparation technique for the ARPES experiment, i.e. UHV cleaving, in-situ growth, sputtering/annealing etc. - temperature(NX_NUMBER): - doc: Temperature of the sample - unit: NX_TEMPERATURE - situation: [vacuum] - pressure(NX_NUMBER): - doc: Residual gas pressure at the sample - unit: NX_PRESSURE - (NXdata): - \@signal: data # There is an object named data that contains the signal - \@energy_indices: # There is an axis (to be specified) that represents energy - \@kx_indices: # There is an axis (to be specified) that represents the first parallel momentum direction - data(NX_NUMBER): # There is a block of numbers named data. -# NXdata structure is extremeley free here to provide a low entry barrier for data parsing in the core appdef. -# Will be restricted further in extending appdefs. -# If there is no rebinning between raw data and plottable data, one can use links -# to link the data in NXinstrument:NXelectronanalyser:NXdetector:NXdata:Raw -# and the axes in NXprocess:calculated_kx and NXprocess:calculated_energy diff --git a/nexusparser/tools/yaml2nxdl/README.md b/nexusparser/tools/yaml2nxdl/README.md index 169c73048..82538c64a 100644 --- a/nexusparser/tools/yaml2nxdl/README.md +++ b/nexusparser/tools/yaml2nxdl/README.md @@ -1,24 +1,55 @@ -#Yaml to nxdl converter +# YAML to NXDL converter and NXDL to YAML converter + +**Tools purpose**: Offer a simple YAML-based schema to describe NeXus instances. These can be NeXus application definitions, or classes such as base or contributed classes. Users create NeXus instances by writing a YAML file which details a hierarchy of data/metadata elements. +The reverse conversion is also implemented. + +**How the tool works**: +- yaml2nxdl.py +1. Reads the user-specified NeXus instance that the YML input file represents as a nested dictionary. +2. Creates an instantiated NXDL schema XML tree by walking the dictionary nest. +3. Write the tree into a properly formatted NXDL XML schema file to disk. + +- nxdl2yaml.py +1. Reads the user-specified NeXus instance that the NXDL input file represents as a nested dictionary. +2. Creates a YML file walking the dictionary nest. +3. Optionally, if --append-to-base argument is given, + the NXDL input file is interpreted as an extension of a base class and the entries contained in it + are appended below a standard Nexus base class. + You need to specify both your XML input file (.nxdl.xml) and Nexus class (no extension). + Both .yml and .nxdl.xml file of the extended class are printed. -This tool is composed of several steps: +```console +user@box:~$ python yaml2nxdl.py -a) read the user-specific experimental information as a yml file +Usage: ./yaml2nxdl.py [OPTIONS] -b) create an instantiated NXDL schema XML tree +Options: + --input-file TEXT The path to the input data file to read. + --verbose Addictional std output info is printed to help debugging. + --help Show this message and exit. -c) write the NXDL XML file to file -```console -user@box:~$ python yaml2nxdl.py +user@box:~$ python nxdl2yaml.py -Usage: ./yaml2nxdl.py [OPTIONS] +Usage: ./nxdl2yaml.py [OPTIONS] Options: - --input_file TEXT The path to the input data file to read. (Repeat for - more than one file.) - --help Show this message and exit. + --input-file TEXT The path to the input data file to read. + --append-to-base TEXT Parse xml file and append to specified base class, + write the base class name with no extension. + --help Show this message and exit. ``` -The tool is reading a yml file manually defined in the 'fnm' variable in yaml2nxdl.py - +**Rule set**: From transcoding YAML files we need to follow several rules. +* Named NeXus groups, which are instances of NeXus classes especially base or contributed classes. Creating (NXbeam) is a simple example of a request to define a group named according to NeXus default rules. mybeam1(NXbeam) or mybeam2(NXbeam) are examples how to create multiple named instances at the same hierarchy level. +* Members of groups so-called fields. A simple example of a member is voltage. Here the datatype is implied automatically as the default NeXus NX_CHAR type. By contrast, voltage(NX_FLOAT) can be used to instantiate a member of class which should be of NeXus type NX_FLOAT. +* And attributes or either groups or fields. Names of attributes have to be preceeded by \@ to mark them as attributes. + +**Special keywords**: Several keywords can be used as childs of groups, fields, and attributes to specify the members of these. Groups, fields and attributes are nodes of the XML tree. +* *doc*: A human-readable description/docstring +* *exists* A statement if an entry is more than optional. Options are recommended, required, [min, 1, max, infty] numbers like here 1 can be replaced by uint or infty to indicate no restriction on how frequently the entry can occur inside the NXDL schema at the same hierarchy level. +* *link* Define links between nodes. +* *units* A statement introducing NeXus-compliant NXDL units arguments, like NX_VOLTAGE +* *dimensions* Details which dimensional arrays to expect +* *enumeration* Python list of strings which are considered as recommended entries to choose from. diff --git a/nexusparser/tools/yaml2nxdl/__init__.py b/nexusparser/tools/yaml2nxdl/__init__.py new file mode 100644 index 000000000..c1273314b --- /dev/null +++ b/nexusparser/tools/yaml2nxdl/__init__.py @@ -0,0 +1,31 @@ +#!/usr/bin/env python3 +""" +# Load paths +""" +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +import sys +sys.path.insert(0, '..') +sys.path.append(os.path.dirname(os.path.realpath(__file__))) + +# from nexusparser.tools.yaml2nxdl import yaml2nxdl +# from nexusparser.tools.yaml2nxdl import yaml2nxdl_recursive_build +# from nexusparser.tools.yaml2nxdl import yaml2nxdl_read_yml_file +# from nexusparser.tools.yaml2nxdl import yaml2nxdl_utils diff --git a/nexusparser/tools/yaml2nxdl/nxdl2yaml.py b/nexusparser/tools/yaml2nxdl/nxdl2yaml.py new file mode 100755 index 000000000..011bc77d5 --- /dev/null +++ b/nexusparser/tools/yaml2nxdl/nxdl2yaml.py @@ -0,0 +1,349 @@ +#!/usr/bin/env python3 +"""The xml2yml tool is going backward from xml to yaml file. +It also has the --append-to-base option that allows to append +the content of a user provided input file at the bottom of an existing Nexus base class, +to allow for generation of new extended base classes files + +""" +import os +import xml.etree.ElementTree as ET +from typing import List +import click +from click.testing import CliRunner +import nexusparser.tools.yaml2nxdl.yaml2nxdl as yml2nxdl + + +def handle_group_or_field(depth, node, file_out): + """Handle all the possible attributes that come along a field or group + +""" + if "name" in node.attrib and "type" in node.attrib: + file_out.write( + '{indent}{name}({value1}):\n'.format( + indent=depth * ' ', + name=node.attrib['name'] or '', + value1=node.attrib['type'] or '')) + if "name" in node.attrib and "type" not in node.attrib: + file_out.write( + '{indent}{name}:\n'.format( + indent=depth * ' ', + name=node.attrib['name'] or '')) + if "name" not in node.attrib and "type" in node.attrib: + file_out.write( + '{indent}({type}):\n'.format( + indent=depth * ' ', + type=node.attrib['type'] or '')) + if "minOccurs" in node.attrib and "maxOccurs" in node.attrib: + file_out.write( + '{indent}exists: [min, {value1}, max, {value2}]\n'.format( + indent=(depth + 1) * ' ', + value1=node.attrib['minOccurs'] or '', + value2=node.attrib['maxOccurs'] or '')) + if "minOccurs" in node.attrib \ + and "maxOccurs" not in node.attrib \ + and node.attrib['minOccurs'] == "1": + file_out.write( + '{indent}{name}: required \n'.format( + indent=(depth + 1) * ' ', + name='exists')) + if "recommended" in node.attrib and node.attrib['recommended'] == "true": + file_out.write( + '{indent}exists: recommended\n'.format( + indent=(depth + 1) * ' ')) + if "units" in node.attrib: + file_out.write( + '{indent}unit: {value}\n'.format( + indent=(depth + 1) * ' ', + value=node.attrib['units'] or '')) + + +def handle_dimension(depth, node, file_out): + """Handle the dimension field + +""" + file_out.write( + '{indent}{tag}:\n'.format( + indent=depth * ' ', + tag=node.tag.split("}", 1)[1])) + file_out.write( + '{indent}rank: {rank}\n'.format( + indent=(depth + 1) * ' ', + rank=node.attrib['rank'])) + dim_list = '' + for child in list(node): + tag = child.tag.split("}", 1)[1] + if tag == ('dim'): + dim_list = dim_list + '[{index}, {value}], '.format( + index=child.attrib['index'], + value=child.attrib['value']) + file_out.write( + '{indent}dim: [{value}]\n'.format( + indent=(depth + 1) * ' ', + value=dim_list[:-2] or '')) + + +def handle_attributes(depth, node, file_out): + """Handle the attributes parsed from the xml file + +""" + file_out.write( + '{indent}{escapesymbol}{key}:\n'.format( + indent=depth * ' ', + escapesymbol=r'\@', + key=node.attrib['name'])) + + +def handle_enumeration(depth, node, file_out): + """Handle the enumeration field parsed from the xml file + +""" + file_out.write( + '{indent}{tag}:'.format( + indent=depth * ' ', + tag=node.tag.split("}", 1)[1])) + enum_list = '' + for child in list(node): + tag = child.tag.split("}", 1)[1] + if tag == ('item'): + enum_list = enum_list + '{value}, '.format( + value=child.attrib['value']) + file_out.write( + ' [{enum_list}]\n'.format( + enum_list=enum_list[:-2] or '')) + + +def handle_not_root_level_doc(depth, node, file_out): + """Handle docs field along the yaml file + +""" + file_out.write( + '{indent}{tag}: "{text}"\n'.format( + indent=depth * ' ', + tag=node.tag.split("}", 1)[1], + text=node.text.strip().replace('\"', '\'') if node.text else '')) + + +class Nxdl2yaml(): + """Parse XML file and print a YML file + +""" + def __init__( + self, + symbol_list: List[str], + root_level_definition: List[str], + root_level_doc='', + root_level_symbols=''): + self.append_flag = True + self.found_definition = False + self.jump_symbol_child = False + self.root_level_doc = root_level_doc + self.root_level_symbols = root_level_symbols + self.root_level_definition = root_level_definition + self.symbol_list = symbol_list + + def handle_symbols(self, depth, node): + """Handle symbols field and its childs + + """ + self.root_level_symbols = '{indent}{tag}: {text}'.format( + indent=0 * ' ', + tag=node.tag.split("}", 1)[1], + text=node.text.strip() if node.text else '') + depth += 1 + for child in list(node): + tag = child.tag.split("}", 1)[1] + if tag == ('doc'): + self.symbol_list.append( + '{indent}{tag}: "{text}"'.format( + indent=1 * ' ', + tag=child.tag.split("}", 1)[1], + text=child.text.strip().replace('\"', '\'') if child.text else '')) + elif tag == ('symbol'): + self.symbol_list.append( + '{indent}{key}: "{value}"'.format( + indent=1 * ' ', + key=child.attrib['name'], + value=child.attrib['doc'] or '')) + + def handle_definition(self, node): + """Handle definition group and its attributes + + """ + for item in node.attrib: + if 'schemaLocation' not in item \ + and 'name' not in item \ + and 'extends' not in item \ + and 'type' not in item: + self.root_level_definition.append( + '{key}: {value}'.format( + key=item, + value=node.attrib[item] or '')) + if 'name' in node.attrib.keys(): + self.root_level_definition.append( + '({value}):'.format( + value=node.attrib['name'] or '')) + + def handle_root_level_doc(self, node): + """Handle the documentation field found at root level + +""" + for child in list(node): + tag = child.tag.split("}", 1)[1] + if tag == ('doc'): + self.root_level_doc = '{indent}{tag}: "{text}"'.format( + indent=0 * ' ', + tag=child.tag.split("}", 1)[1], + text=child.text.strip().replace('\"', '\'') if child.text else '') + node.remove(child) + + def print_root_level_doc(self, file_out): + """Print at the root level of YML file \ +the general documentation field found in XML file + + """ + file_out.write( + '{indent}{root_level_doc}\n'.format( + indent=0 * ' ', + root_level_doc=self.root_level_doc)) + self.root_level_doc = '' + + def print_root_level_info(self, depth, file_out): + """Print at the root level of YML file \ +the information stored as definition attributes in the XML file + +""" + if depth > 0 \ + and [s for s in self.root_level_definition if "category: application" in s]\ + or depth == 1 \ + and [s for s in self.root_level_definition if "category: base" in s]: + if self.root_level_symbols: + file_out.write( + '{indent}{root_level_symbols}\n'.format( + indent=0 * ' ', + root_level_symbols=self.root_level_symbols)) + for symbol in self.symbol_list: + file_out.write( + '{indent}{symbol}\n'.format( + indent=0 * ' ', + symbol=symbol)) + if self.root_level_definition: + for defs in self.root_level_definition: + file_out.write( + '{indent}{defs}\n'.format( + indent=0 * ' ', + defs=defs)) + self.found_definition = False + + def recursion_in_xml_tree(self, depth, node, output_yml): + """Descend lower level in xml tree. If we are in the symbols branch, \ +the recursive behaviour is not triggered as we already handled the symbols' childs +""" + if self.jump_symbol_child is True: + self.jump_symbol_child = False + else: + for child in list(node): + Nxdl2yaml.xmlparse(self, output_yml, child, depth) + + def xmlparse(self, output_yml, node, depth): + """Main of the nxdl2yaml converter. +It parses XML tree, +then prints recursively each level of the tree + + """ + print(depth, node.attrib) + with open(output_yml, "a") as file_out: + tag = node.tag.split("}", 1)[1] + if tag == ('definition'): + self.found_definition = True + Nxdl2yaml.handle_definition(self, node) + if depth == 0 and not self.root_level_doc: + Nxdl2yaml.handle_root_level_doc(self, node) + if tag == ('doc') and depth != 1: + handle_not_root_level_doc(depth, node, file_out) + if tag == ('symbols'): + Nxdl2yaml.handle_symbols(self, depth, node) + self.jump_symbol_child = True + # End of root level definition parsing. Print root-level definitions in file + if self.root_level_doc \ + and self.append_flag is True \ + and (depth in (0, 1)): + Nxdl2yaml.print_root_level_doc(self, file_out) + if self.found_definition is True and self.append_flag is True: + Nxdl2yaml.print_root_level_info(self, depth, file_out) + # End of print root-level definitions in file + if tag in ('field', 'group') and depth != 0: + handle_group_or_field(depth, node, file_out) + if tag == ('enumeration'): + handle_enumeration(depth, node, file_out) + if tag == ('attribute'): + handle_attributes(depth, node, file_out) + if tag == ('dimensions'): + handle_dimension(depth, node, file_out) + depth += 1 + # Write nested nodes + Nxdl2yaml.recursion_in_xml_tree(self, depth, node, output_yml) + + +def print_yml(input_file): + """Parse an XML file provided as input and print a YML file + +""" + output_yml = input_file[:-9] + '_parsed.yml' + if os.path.isfile(output_yml): + os.remove(output_yml) + my_file = Nxdl2yaml([], []) + depth = 0 + tree = ET.parse(input_file) + my_file.xmlparse(output_yml, tree.getroot(), depth) + + +def append_yml(input_file, append_to_base): + """Append to an existing Nexus base class new elements provided in YML input file \ +and print both an XML and YML file of the extended base class. +Note: the input file name must match one existing Nexus base class to be appended + +""" + output_yml = input_file[:-9] + '_appended.yml' + if os.path.isfile(output_yml): + os.remove(output_yml) + local_dir = os.path.abspath(os.path.dirname(__file__)) + nexus_def_path = os.path.join(local_dir, '../../definitions') + base_classes_list_files = os.listdir(os.path.join(nexus_def_path, 'base_classes')) + assert [s for s in base_classes_list_files if append_to_base.strip() == s.strip('.nxdl.xml')], \ + 'Your base class extension does not match any existing Nexus base classes' + base_class = os.path.join(nexus_def_path + '/base_classes', append_to_base + '.nxdl.xml') + nexus_file = Nxdl2yaml([], []) + depth = 0 + tree = ET.parse(base_class) + nexus_file.xmlparse(output_yml, tree.getroot(), depth) + my_file = Nxdl2yaml([], [], False) # False print of definition: it's already on top of file + depth = 0 + tree = ET.parse(input_file) + my_file.xmlparse(output_yml, tree.getroot(), depth) + back_to_xml = CliRunner().invoke(yml2nxdl.yaml2nxdl, ['--input-file', output_yml]) + assert back_to_xml.exit_code == 0 + + +@click.command() +@click.option( + '--input-file', + help='The path to the xml-formatted input data file to read and create \ +a YAML file from.' +) +@click.option( + '--append-to-base', + help='Parse xml file and append to base class, given that the xml file has same name \ +of an existing base class' +) +def launch_nxdl2yml(input_file: str, append_to_base: str): + """Helper function that triggers either the parsing or the appending routines + +""" + if not append_to_base: + print_yml(input_file) + else: + append_yml(input_file, append_to_base) + + +if __name__ == '__main__': + launch_nxdl2yml() # pylint: disable=no-value-for-parameter diff --git a/nexusparser/tools/yaml2nxdl/yaml2nxdl.py b/nexusparser/tools/yaml2nxdl/yaml2nxdl.py old mode 100644 new mode 100755 index 086da1195..ea19219ed --- a/nexusparser/tools/yaml2nxdl/yaml2nxdl.py +++ b/nexusparser/tools/yaml2nxdl/yaml2nxdl.py @@ -1,111 +1,120 @@ #!/usr/bin/env python3 +"""Main file of yaml2nxdl tool. +Users create NeXus instances by writing a YAML file +which details a hierarchy of data/metadata elements + +""" # -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# pylint: disable=E1101 -import os -import sys -import yaml -from lxml import etree -from yaml2nxdl_utils import nx_base_clss, nx_cand_clss, nx_unit_idnt, nx_unit_typs -from yaml2nxdl_utils import nx_type_keys, nx_attr_idnt -# check duplicates Types with no Name in read_user_appdef: https://stackoverflow.com/questions/33490870/parsing-yaml-in-python-detect-duplicated-keys -from yaml2nxdl_read_user_yml_appdef import read_user_appdef -from yaml2nxdl_recursive_build import recursive_build - -from typing import Tuple +import xml.etree.ElementTree as ET +from xml.dom import minidom import click +from nexusparser.tools.yaml2nxdl import yaml2nxdl_read_yml_file as read +from nexusparser.tools.yaml2nxdl import yaml2nxdl_recursive_build as recursive_build + + +def pretty_print_xml(xml_root, output_xml): + """Print better human-readable idented and formatted xml file +using built-in libraries and add preceding XML processing instruction + + """ + dom = minidom.parseString(ET.tostring(xml_root, encoding='utf-8', method='xml')) + sibling = dom.createProcessingInstruction( + 'xml-stylesheet', 'type="text/xsl" href="nxdlformat.xsl"') + root = dom.firstChild + dom.insertBefore(sibling, root) + xml_string = dom.toprettyxml() + with open(output_xml, "w") as file_out: + file_out.write(xml_string) + @click.command() @click.option( - '--input_file', - #default=['example.yml'], - multiple=True, - help='The path to the input data file to read. (Repeat for more than one file.)' + '--input-file', + help='The path to the yaml-formatted input data file to read and create \ +a NXDL XML file from. (Repeat for more than one file.)' ) -def yaml2nxdl(input_file: Tuple[str]): - # add check if file exists - # step1: read the user-specific application definition which was written as a yml file - yml = read_user_appdef(input_file[0]) - # print('Read YAML schema file') - - # step2a: create an instantiated NXDL schema XML tree, begin with the header add XML schema/namespaces - attr_qname = etree.QName( - "http://www.w3.org/2001/XMLSchema-instance", "schemaLocation") - rt = etree.Element('definition', - {attr_qname: 'http://definition.nexusformat.org/nxdl/nxdl.xsd'}, - nsmap={None: 'http://definition.nexusformat.org/nxdl/3.1', - 'xsi': 'http://www.w3.org/2001/XMLSchema-instance'} - ) - # , - # 'schemaLocation'}) ###############àà - # step2b: user-defined attributes for the root group - if 'name' in yml.keys(): - rt.set('name', yml['name']) - del yml['name'] - else: - raise ValueError('ERROR: name: keyword not specified !') - pi = etree.ProcessingInstruction( - "xml-stylesheet", text='type="text/xsl" href="nxdlformat.xsl"') - rt.addprevious(pi) - # evaluate whether we handle an application definition, a contributed or base class - if 'category' in yml.keys(): - if yml['category'] == 'application': - rt.set('category', 'application') - rt.set('extends', 'NXentry') - elif yml['category'] == 'contributed': - rt.set('category', 'contributed') - rt.set('extends', 'NXobject') - elif yml['category'] == 'base': - rt.set('category', 'base') - rt.set('extends', 'NXobject') - else: - raise ValueError( - 'Top-level keyword category exists in the yml but one of these: application, contributed, base !') - del yml['category'] - rt.set('type', 'group') - else: - raise ValueError( - 'Top-level keyword category does not exist in the yml !') - # step2c: docstring - if 'doc' in yml.keys(): - rt.set('doc', yml['doc']) - del yml['doc'] +@click.option( + '--verbose', + is_flag=True, + default=False, + help='Print in standard output keywords and value types to help \ +possible issues in yaml files' +) +def yaml2nxdl(input_file: str, verbose: bool): + """Main of the yaml2nxdl converter, creates XML tree, +namespace and schema, then evaluates a dictionary +nest of groups recursively and fields or (their) attributes as childs of the groups + + """ + yml_appdef = read.yml_reader(input_file) + + print('input-file: ' + input_file) + print('application/base contains the following root-level entries:') + print(list(yml_appdef.keys())) + xml_root = ET.Element( + 'definition', { + 'xmlns': 'http://definition.nexusformat.org/nxdl/3.1', + 'xmlns:xsi': 'http://www.w3.org/2001/XMLSchema-instance', + 'xsi:schemaLocation': 'http://www.w3.org/2001/XMLSchema-instance' + } + ) + + assert 'category' in yml_appdef.keys(), 'Required root-level keyword category is missing!' + assert yml_appdef['category'] in ['application', 'base'], 'Only \ +application and base are valid categories!' + assert 'doc' in yml_appdef.keys(), 'Required root-level keyword doc is missing!' + + xml_root.set('extends', 'NXobject') + xml_root.set('type', 'group') + if yml_appdef['category'] == 'application': + xml_root.set('category', 'application') + del yml_appdef['category'] else: - raise ValueError('Top-level docstring does not exist in the yml !') - if 'symbols' in yml.keys(): - syms = etree.SubElement(rt, 'symbols') - if 'doc' in yml['symbols'].keys(): - syms.set('doc', yml['symbols']['doc']) - del yml['symbols']['doc'] - for kk, vv in iter(yml['symbols'].items()): - sym = etree.SubElement(syms, 'sym') - sym.set('name', kk) - sym.set('doc', vv) - del yml['symbols'] - # do not throw in the case of else just accept that we do not have symbols - - # step3: walk the dictionary nested in yml to create an instantiated NXDL schema XML tree rt - recursive_build(rt, yml) - - # step4: write the tree to a properly formatted NXDL XML file to disk - nxdl = etree.ElementTree(rt) - nxdl.write(input_file[0] + '.nxdl.xml', pretty_print=True, - xml_declaration=True, encoding="utf-8") - print('Parsed YAML to NXDL successfully') + xml_root.set('category', 'base') + del yml_appdef['category'] + + assert isinstance(yml_appdef['doc'], str) and yml_appdef['doc'] != '', 'Doc \ +has to be a non-empty string!' + doctag = ET.SubElement(xml_root, 'doc') + doctag.text = yml_appdef['doc'] + del yml_appdef['doc'] -# tests -# fnm = 'NXmpes_core_draft.yml' -# fnm = 'NXtest_links.yml' -# fnm = 'NXarpes.yml' -# fnm = 'NXmx.yml' -# fnm = 'NXem_base_draft.yml' -# fnm = 'NXellipsometry_base_draft.yml' -# fnm = NXapm_draft.yml + if 'symbols' in yml_appdef.keys(): + recursive_build.xml_handle_symbols(xml_root, yml_appdef['symbols']) + del yml_appdef['symbols'] -# how to use the parser as a component -# cv = yml2nxdl( fnm ).parse() + assert len(yml_appdef.keys()) == 1, 'Accepting at most keywords: category, \ +doc, symbols, and NX... at root-level!' + keyword = list(yml_appdef.keys())[0] # which is the only one + assert (keyword[0:3] == '(NX' and keyword[-1:] == ')' and len(keyword) > 4), 'NX \ +keyword has an invalid pattern, or is too short!' + xml_root.set('name', keyword[1:-1]) + recursive_build.recursive_build(xml_root, yml_appdef[keyword], verbose) + + pretty_print_xml(xml_root, input_file[:-4] + '.nxdl.xml') + print('Parsed YAML to NXDL successfully') if __name__ == '__main__': - # logging.basicConfig(level=logging.DEBUG) yaml2nxdl().parse() # pylint: disable=no-value-for-parameter diff --git a/nexusparser/tools/yaml2nxdl/yaml2nxdl_read_user_yml_appdef.py b/nexusparser/tools/yaml2nxdl/yaml2nxdl_read_user_yml_appdef.py deleted file mode 100644 index a336f12cb..000000000 --- a/nexusparser/tools/yaml2nxdl/yaml2nxdl_read_user_yml_appdef.py +++ /dev/null @@ -1,21 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -Created on Mon Nov 22 17:43:45 2021 - -@author: kuehbach -""" - -import os, sys -import yaml -from lxml import etree - -def read_user_appdef(fnm): - with open(fnm) as stream: - try: - return yaml.safe_load(stream) - #print(yml) - #rt = etree.Element('description') - except yaml.YAMLError as exc: - print(exc) - return None \ No newline at end of file diff --git a/nexusparser/tools/yaml2nxdl/yaml2nxdl_read_yml_file.py b/nexusparser/tools/yaml2nxdl/yaml2nxdl_read_yml_file.py new file mode 100644 index 000000000..b9d929c27 --- /dev/null +++ b/nexusparser/tools/yaml2nxdl/yaml2nxdl_read_yml_file.py @@ -0,0 +1,36 @@ +#!/usr/bin/env python3 +""" +Function to read a yaml file +""" +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import yaml + + +def yml_reader(inputfile): + """ + Yaml module based reading of .yml file + """ + with open(inputfile) as stream: + try: + return yaml.safe_load(stream) + except yaml.YAMLError as exc: + print(exc) + return None diff --git a/nexusparser/tools/yaml2nxdl/yaml2nxdl_recursive_build.py b/nexusparser/tools/yaml2nxdl/yaml2nxdl_recursive_build.py index 176aabebb..6d32399a8 100644 --- a/nexusparser/tools/yaml2nxdl/yaml2nxdl_recursive_build.py +++ b/nexusparser/tools/yaml2nxdl/yaml2nxdl_recursive_build.py @@ -1,238 +1,351 @@ #!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -Created on Mon Nov 22 17:48:21 2021 +"""Creates an instantiated NXDL schema XML tree by walking the dictionary nest -@author: kuehbach """ -import os, sys -import yaml -from lxml import etree -from yaml2nxdl_utils import nx_name_type_resolving -from yaml2nxdl_utils import nx_base_clss, nx_cand_clss, nx_unit_idnt, nx_unit_typs -from yaml2nxdl_utils import nx_type_keys, nx_attr_idnt - -def xml_handle_docstring(obj, k, v): - """ - Xml attribute on existing object node in an xml tree - """ - obj.set('doc', str(v)) +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import xml.etree.ElementTree as ET +from nexusparser.tools.yaml2nxdl import yaml2nxdl_utils + + +def xml_handle_doc(obj, value: str): + """This function creates a 'doc' element instance, and appends it to an existing element -def xml_handle_units(obj, k, v): - """ - Xml attribute on existing object node in an xml tree """ - obj.set('units', v) + doctag = ET.SubElement(obj, 'doc') + doctag.text = value + + +def xml_handle_units(obj, value): + """This function creates a 'units' element instance, and appends it to an existing element -def xml_handle_exists(obj, k, v): """ - Xml attribute on existing object node in an xml tree + obj.set('units', value) + + +def xml_handle_exists(obj, value): + """This function creates an 'exists' element instance, and appends it to an existing element + """ - if v != None: - if isinstance(v,list): #handle [] - if len(v) == 2: - if v[0] == 'min': - obj.set('minOccurs', str(v[1])) - if v[0] == 'max': - obj.set('maxOccurs', str(v[1])) - elif len(v) == 4: - if v[0] == 'min' and v[2] == 'max': - obj.set('minOccurs', str(v[1])) - if str(v[3]) != 'infty': - obj.set('maxOccurs', str(v[3])) - else: - obj.set('maxOccurs', 'unbounded') - else: - raise ValueError('exists keyword needs to go either with optional, recommended, a list with two entries either [min, ] or [max, ], or a list of four entries [min, , max, ] !') + assert value is not None, 'xml_handle_exists, value must not be None!' + if isinstance(value, list): + if len(value) == 2 and value[0] == 'min': + obj.set('minOccurs', str(value[1])) + elif len(value) == 2 and value[0] == 'max': + obj.set('maxOccurs', str(value[1])) + elif len(value) == 4 and value[0] == 'min' and value[2] == 'max': + obj.set('minOccurs', str(value[1])) + if str(value[3]) != 'infty': + obj.set('maxOccurs', str(value[3])) else: - raise ValueError('exists keyword needs to go either with optional, recommended, a list with two entries either [min, ] or [max, ], or a list of four entries [min, , max, ] !') + obj.set('maxOccurs', 'unbounded') + elif len(value) == 4 and (value[0] != 'min' or value[2] != 'max'): + raise ValueError('exists keyword needs to go either with an optional \ +[recommended] list with two entries either [min, ] or \ +[max, ], or a list of four entries [min, , max, ] !') else: - if v == 'optional': - obj.set('optional', 'true') - elif v == 'recommended': - obj.set('recommended', 'true') - elif v == 'required': - obj.set('minOccurs', '1') - else: - obj.set('minOccurs', '0') + raise ValueError('exists keyword needs to go either with optional, \ +recommended, a list with two entries either [min, ] or \ +[max, ], or a list of four entries [min, , max, ] !') else: - raise ValueError('exists keyword found but value is None !') + if value == 'optional': + obj.set('optional', 'true') + elif value == 'recommended': + obj.set('recommended', 'true') + elif value == 'required': + obj.set('minOccurs', '1') + else: + obj.set('minOccurs', '0') + + +def xml_handle_group(verbose, obj, value, keyword_name, keyword_type): + """The function deals with group instances + +""" + grp = ET.SubElement(obj, 'group') + if keyword_name != '': # use the custom name for the group + grp.set('name', keyword_name) + grp.set('type', keyword_type) + if isinstance(value, dict) and value != {}: + recursive_build(grp, value, verbose) + + +def xml_handle_dimensions(obj, value: dict): + """This function creates a 'dimensions' element instance, and appends it to an existing element -def xml_handle_dimensions(obj, k, v): - """ - Xml attribute on existing object node in an xml tree """ - if v != None: - if isinstance(v,dict): - if 'rank' in v and 'dim' in v: - dims = etree.SubElement(obj, 'dimensions') - dims.set('rank', str(v['rank'])) - for m in v['dim']: - if isinstance(m, list): - if len(m) >= 2: - dim = etree.SubElement(dims, 'dim') - dim.set('index', str(m[0])) - dim.set('value', str(m[1])) - if len(m) == 3: - if m[2] == 'optional': - dim.set('required', 'false') - else: - print('WARNING: '+k+' dimensions with len(3) list with non-optional argument, unexpected case !') - else: - raise ValueError('WARNING: '+k+' dimensions list item needs to have at least two members !' ) - else: - raise ValueError('exists keyword found, value is dict but has no keys rank and dim !') - else: - raise ValueError('exists keyword found but value is not a dictionary !') - else: - raise ValueError('exists keyword found but value is None !') + assert 'rank' in value.keys() and 'dim' in value.keys(), 'xml_handle_dimensions \ +rank and/or dim not keys in value dict!' + dims = ET.SubElement(obj, 'dimensions') + dims.set('rank', str(value['rank'])) + for element in value['dim']: + assert isinstance(element, list), 'xml_handle_dimensions, element is not a list!' + assert len(element) >= 2, 'xml_handle_dimensions, list element has less than two entries!' + dim = ET.SubElement(dims, 'dim') + dim.set('index', str(element[0])) + dim.set('value', str(element[1])) + if len(element) == 3: + assert element[2] == 'optional', 'xml_handle_dimensions element is \ +a list with unexpected number of entries!' + dim.set('required', 'false') + + +def xml_handle_enumeration(obj, value: list): + """This function creates an 'enumeration' element instance, +and appends it to an existing element -def xml_handle_enumeration(obj, k, v): """ - Xml attribute on existing object node in an xml tree + enum = ET.SubElement(obj, 'enumeration') + assert len(value) >= 1, 'xml_handle_enumeration, value must not be an empty list!' + for element in value: + itm = ET.SubElement(enum, 'item') + itm.set('value', str(element)) + + +def xml_handle_link(obj, keyword, value): + """If we have an NXDL link we decode the name attribute from (link)[:-6] + """ - enum = etree.SubElement(obj, 'enumeration') - #assume we get a list as the value argument - if v != None: - if isinstance(v, list): - for m in v: - itm = etree.SubElement(enum, 'item') - itm.set('value', str(m)) + if len(keyword[:-6]) >= 1 and isinstance(value, dict) and 'target' in value.keys(): + if isinstance(value['target'], str) and len(value['target']) >= 1: + lnk = ET.SubElement(obj, 'link') + lnk.set('name', keyword[:-6]) + lnk.set('target', value['target']) else: - raise ValueError('ERROR: '+k+' we found an enumeration key-value pair but the value is not an ordinary Python list !') + raise ValueError(keyword + ' value for target member of a link is invalid !') else: - raise ValueError('ERROR: '+k+' we found an enumeration key-value pair but the value is None !') + raise ValueError(keyword + ' the formatting of what seems to be a link \ +is invalid in the yml file !') + + +def xml_handle_symbols(obj, value: dict): + """Handle a set of NXDL symbols as a child to obj -def xml_handle_links(obj, k, v): - """ - Xml attribute on existing object node in an xml tree """ - #if we have a link we decode the name attribute from (link)[:-6] - if len(k[:-6]) >= 1 and isinstance(v,dict) and 'target' in v.keys(): - if isinstance(v['target'],str) and len(v['target']) >= 1: - lnk = etree.SubElement(obj, 'link') - lnk.set('name', k[:-6]) - lnk.set('target', v['target']) - else: - raise ValueError(k+' value for target member of a link is invalid !') + assert len(list(value.keys())) >= 1, 'xml_handle_symbols, symbols tables must not be empty!' + syms = ET.SubElement(obj, 'symbols') + if 'doc' in value.keys(): + doctag = ET.SubElement(syms, 'doc') + doctag.text = value['doc'] + for kkeyword, vvalue in value.items(): + if kkeyword != 'doc': + assert vvalue is not None and isinstance(vvalue, str), 'Put a comment in doc string!' + sym = ET.SubElement(syms, 'symbol') + sym.set('name', kkeyword) + sym.set('doc', vvalue) + + +def check_keyword_variable(verbose, keyword_name, keyword_type, value): + """Check whether both keyword_name and keyword_type are empty, and complains if it is the case + +""" + if verbose: + print(keyword_name + '(' + keyword_type + ') value:', str(type(value))) + if keyword_name == '' and keyword_type == '': + raise ValueError('Found an improper YML key !') + + +def helper_keyword_type(kkeyword_type): + """This function is returning a value of keyword_type if it belong to NX_TYPE_KEYS + +""" + if kkeyword_type in yaml2nxdl_utils.NX_TYPE_KEYS: + return kkeyword_type + return None + + +def verbose_flag(verbose, keyword, value): + """Verbose stdout printing for nested levels of yaml file, if verbose flag is active + +""" + if verbose: + print(' key:', keyword, 'value:', str(type(value))) + + +def second_nested_level_handle(verbose, fld, value): + """When a second dictionary is found inside a value, a new cycle of handlings is run + +""" + if isinstance(value, dict): + for kkeyword, vvalue in iter(value.items()): + verbose_flag(verbose, kkeyword, vvalue) + if kkeyword[0:2] == yaml2nxdl_utils.NX_ATTR_IDNT: + attr = ET.SubElement(fld, 'attribute') + # attributes may also come with an nx_type specifier + # which we need to decipher first + kkeyword_name, kkeyword_type = \ + yaml2nxdl_utils.nx_name_type_resolving(kkeyword[2:]) + attr.set('name', kkeyword_name) + # typ = 'NX_CHAR' + typ = helper_keyword_type(kkeyword_type) or 'NX_CHAR' + attr.set('type', typ) + if isinstance(vvalue, dict): + for kkkeyword, vvvalue in iter(vvalue.items()): + third_nested_level_handle(verbose, attr, kkeyword, kkkeyword, vvvalue) + elif kkeyword == 'doc': + xml_handle_doc(fld, vvalue) + elif kkeyword == yaml2nxdl_utils.NX_UNIT_IDNT: + xml_handle_units(fld, vvalue) + elif kkeyword == 'exists': + xml_handle_exists(fld, vvalue) + elif kkeyword == 'dimensions': + xml_handle_dimensions(fld, vvalue) + elif kkeyword == 'enumeration': + xml_handle_enumeration(fld, vvalue) + elif kkeyword == 'link': + fld.set('link', '') + else: + raise ValueError(kkeyword, ' faced unknown situation !') + + +def third_nested_level_handle(verbose, attr, kkeyword, kkkeyword, vvvalue): + """When a third dictionary is found inside a value, a new cycle of handlings is run + +""" + verbose_flag(verbose, kkkeyword, vvvalue) + if kkkeyword == 'doc': + xml_handle_doc(attr, vvvalue) + elif kkkeyword == 'exists': + xml_handle_exists(attr, vvvalue) + elif kkkeyword == 'enumeration': + xml_handle_enumeration(attr, vvvalue) else: - raise ValueError(k+' the formatting of what seems to be a link is invalid in the yml file !') + raise ValueError( + kkeyword, kkkeyword, ' attribute handling !') -def recursive_build(obj, dct): - """ - obj is the current node where we want to append to, - dct is a dictionary object which represents the content of the child in the nested set of dictionaries - """ - for k, v in iter(dct.items()): - #print('Processing key '+k+' value v is a dictionary '+str(isinstance(v,dict))) - kName, kType = nx_name_type_resolving(k) - print('kName: '+kName+' kType: '+kType) - if kName == '' and kType == '': - raise ValueError('ERROR: Found an improper YML key !') - elif kType in nx_base_clss or kType in nx_cand_clss or kType not in nx_type_keys: - #we can be sure we need to instantiate a new group - grp = etree.SubElement(obj, 'group') - if kName != '': #use the custom name for the group - grp.set('name', kName) - else: - if kType != '': - grp.set('name', kType) - grp.set('type', kType) - if v != None: - if isinstance(v,dict): - if v != {}: - recursive_build(grp, v) - elif kName[0:2] == nx_attr_idnt: #check if obj qualifies as an attribute identifier - attr = etree.SubElement(obj, 'attribute') - attr.set('name', kName[2:]) - if v != None: - if isinstance(v,dict): - for kk, vv in iter(v.items()): - if kk == 'name': - attr.set('name', vv) - elif kk == 'doc': - attr.set('doc', vv) - elif kk == 'type': - attr.set('type', vv.upper()) - elif kk == 'enumeration': - xml_handle_enumeration(attr,kk, vv) - else: - raise ValueError(kk+' facing an unknown situation while processing attributes of an attribute !') - #handle special keywords (symbols), assumed that you do not encounter further symbols nested inside - elif k == 'doc': - xml_handle_docstring(obj, k, v) - elif k == 'enumeration': - xml_handle_enumeration(obj, k, v) - elif k == 'dimensions': - xml_handle_dimensions(obj, k, v) - elif k == 'exists': - xml_handle_exists(obj, k, v) - elif k[-6:] == '(link)': - xml_handle_links(obj, k, v) - #base/cand classes, attributes, and special keywords (symbols) handled, so only members of nexus classe remain to handle, which will populate xml fields - elif kName != '': - typ = 'NX_CHAR' - if kType in nx_type_keys: - typ = kType - #assume type is NX_CHAR, a NeXus default assumption if in doubt - fld = etree.SubElement(obj, 'field') - fld.set('name', kName) - fld.set('type', typ) - if v != None: #a field may have subordinated attributes - if isinstance(v,dict): - for kk, vv in iter(v.items()): - #print(kk+' field-attribute handling') - #if vv != None: - # print('field-attribute handling'+kk+' is taken!') - if kk[0:2] == nx_attr_idnt: - attr = etree.SubElement(fld, 'attribute') - #attributes may also come with an nx_type specifier which we need to decipher first - kkName, kkType = nx_name_type_resolving(kk[2:]) - attr.set('name', kkName) - typ = 'NX_CHAR' - if kkType in nx_type_keys: - typ = kkType - attr.set('type', typ) - if vv != None: - if isinstance(vv,dict): - for kkk, vvv in iter(vv.items()): - if kkk == 'doc': - attr.set('doc', vvv) - elif kkk == 'exists': - xml_handle_exists(attr, kkk, vvv) - elif kkk == 'enumeration': - xml_handle_enumeration(attr, kkk, vvv) - else: - raise ValueError(k+' '+kk+' '+kkk+' attribute handling !') - elif kk == 'doc': - fld.set('doc', str(vv)) - elif kk == nx_unit_idnt: - xml_handle_units(fld, kk, vv) - elif kk == 'exists': - xml_handle_exists(fld, kk, vv) - elif kk == 'dimensions': - xml_handle_dimensions(fld, kk, vv) - elif kk == 'enumeration': - xml_handle_enumeration(fld, kk, vv) - elif kk == 'link': - fld.set('link', '') - else: - raise ValueError(k+' '+kk+' faced unknown situation !') +def attribute_attributes_handle(verbose, obj, value, keyword_name): + """Handle the attributes found connected to attribute field""" + # as an attribute identifier + attr = ET.SubElement(obj, 'attribute') + attr.set('name', keyword_name[2:]) + if value is not None: + assert isinstance(value, dict), 'the keyword is an attribute, \ +its value must be a dict!' + for kkeyword, vvalue in iter(value.items()): + verbose_flag(verbose, kkeyword, vvalue) + if kkeyword == 'name': + attr.set('name', vvalue) + elif kkeyword == 'doc': + xml_handle_doc(attr, vvalue) + elif kkeyword == 'type': + attr.set('type', vvalue.upper()) + elif kkeyword == 'enumeration': + xml_handle_enumeration(attr, vvalue) + elif kkeyword == 'exists': + xml_handle_exists(attr, vvalue) else: - if k == 'type': - print(k+' facing a type where we would not expect it!') - elif k == 'doc': - xml_handle_docstring(fld, k, v) - elif k == nx_unit_idnt: - xml_handle_units(fld, k, v) - elif k[0:2] == nx_attr_idnt: #attribute of a field - raise ValueError(k+' unknown attribute of a field case coming from no dict !') - elif k == 'exists': - xml_handle_exists(fld, k, v) - elif k == 'dimensions': - raise ValueError(k+' unknown dimensions of a field case coming from no dict !') - #else: - # pass - else: - raise ValueError(k+' faces a completely unknown symbol!') + raise ValueError(kkeyword + ' facing an unknown situation \ +while processing attributes of an attribute ! Node tag:', obj.tag, 'Node content:', obj.attrib) +# handle special keywords (symbols), +# assumed that you do not encounter further symbols nested inside + + +def second_level_attributes_handle(fld, keyword, value): + """If value is not a dictionary, this function handles the attributes of a nested field + +""" + if not isinstance(value, dict): + if keyword == 'doc': + xml_handle_doc(fld, value) + elif keyword == yaml2nxdl_utils.NX_UNIT_IDNT: + xml_handle_units(fld, value) + elif keyword[0:2] == yaml2nxdl_utils.NX_ATTR_IDNT: # attribute of a field + raise ValueError(keyword, ' unknown attribute \ + of a field case coming from no dict !') + elif keyword == 'exists': + xml_handle_exists(fld, value) + elif keyword == 'dimensions': + raise ValueError(keyword, ' unknown dimensions \ + of a field case coming from no dict !') + else: + pass + + +def not_empty_keyword_name_handle(obj, keyword_type, keyword_name): + """Handle a field in yaml file. +When a keyword is NOT: +symbol, +NX baseclass member, +attribute (\\@), +doc, +enumerations, +dimension, +exists, +then the not empty keyword_name is a field! +This simple function will define a new node of xml tree + +""" + typ = 'NX_CHAR' + if keyword_type in yaml2nxdl_utils.NX_TYPE_KEYS + yaml2nxdl_utils.NX_NEW_DEFINED_CLASSES: + typ = keyword_type + # assume type is NX_CHAR, a NeXus default assumption if in doubt + fld = ET.SubElement(obj, 'field') + fld.set('name', keyword_name) + fld.set('type', typ) + return fld + + +def recursive_build(obj, dct, verbose): + """obj is the current node of the XML tree where we want to append to, + dct is a dictionary object which represents the content of a child to obj + dct may contain further dictionary nests, representing NXDL groups, + which trigger recursive processing + NXDL fields may contain attributes but trigger no recursion so attributes are leafs. + + """ + for keyword, value in iter(dct.items()): + keyword_name, keyword_type = yaml2nxdl_utils.nx_name_type_resolving(keyword) + + check_keyword_variable(verbose, keyword_name, keyword_type, value) + print('keyword_name:', keyword_name, 'keyword_type', keyword_type) + if keyword[-6:] == '(link)': + xml_handle_link(obj, keyword, value) + + elif keyword_type == '' and keyword_name == 'symbols': + # print(value.key(), type(value.key()), value.value(), type(value.value())) + xml_handle_symbols(obj, value) + + elif (keyword_type in yaml2nxdl_utils.NX_CLSS) or \ + (keyword_type not in yaml2nxdl_utils.NX_TYPE_KEYS + [''] + yaml2nxdl_utils. + NX_NEW_DEFINED_CLASSES): + # we can be sure we need to instantiate a new group + xml_handle_group(verbose, obj, value, keyword_name, keyword_type) + + elif keyword_name[0:2] == yaml2nxdl_utils.NX_ATTR_IDNT: # check if obj qualifies + attribute_attributes_handle(verbose, obj, value, keyword_name) + elif keyword == 'doc': + xml_handle_doc(obj, value) + + elif keyword == 'enumeration': + xml_handle_enumeration(obj, value) + + elif keyword == 'dimensions': + xml_handle_dimensions(obj, value) + + elif keyword == 'exists': + xml_handle_exists(obj, value) + + elif keyword_name != '': + fld = not_empty_keyword_name_handle(obj, keyword_type, keyword_name) + second_nested_level_handle(verbose, fld, value) + second_level_attributes_handle(fld, keyword, value) + else: + pass diff --git a/nexusparser/tools/yaml2nxdl/yaml2nxdl_utils.py b/nexusparser/tools/yaml2nxdl/yaml2nxdl_utils.py index 1d09d4eca..597811d3c 100644 --- a/nexusparser/tools/yaml2nxdl/yaml2nxdl_utils.py +++ b/nexusparser/tools/yaml2nxdl/yaml2nxdl_utils.py @@ -1,55 +1,52 @@ #!/usr/bin/env python3 -# -*- coding: utf-8 -*- """ -Created on Mon Nov 22 17:41:08 2021 -@author: kuehbach +Some utilities used in recursive_build function """ +# -*- coding: utf-8 -*- +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# - -import os, sys -import yaml -from lxml import etree +from nexusparser.tools import nexus def nx_name_type_resolving(tmp): """ - extracts the eventually custom name {optional_string} an type {nexus_type} from a YML section string. - YML section string syntax: optional_string(nexus_type) + extracts the eventually custom name {optional_string} + and type {nexus_type} from a YML section string. + YML section string syntax: optional_string(nexus_type) """ - if tmp.count('(') == 1 and tmp.count(')') == 1: - #we can safely assume that every valid YML key resolves - #either an nx_ (type, base, candidate) class contains only 1 '(' and ')' - idxStart = tmp.index('(') - idxEnd = tmp.index(')',idxStart+1) - typ = tmp[idxStart+1:idxEnd] - nam = tmp.replace('('+typ+')','') + if tmp.count('(') == 1 and tmp.count(')') == 1: + # we can safely assume that every valid YML key resolves + # either an nx_ (type, base, candidate) class contains only 1 '(' and ')' + index_start = tmp.index('(') + index_end = tmp.index(')', index_start + 1) + typ = tmp[index_start + 1:index_end] + nam = tmp.replace('(' + typ + ')', '') return nam, typ - #or a name for a member + # or a name for a member typ = '' nam = tmp return nam, typ -#https://manual.nexusformat.org/classes/base_classes/index.html#base-class-definitions -nx_base_clss = ['NXaperture', 'NXattenuator', 'NXbeam', 'NXbeam_stop', 'NXbending_magnet', 'NXcapillary', 'NXcite', - 'NXcollection', 'NXcollimator', 'NXcrystal', 'NXcylindrical_geometry', 'NXdata', 'NXdetector', - 'NXdetector_group', 'NXdetector_module', 'NXdisk_chopper', 'NXentry', 'NXenvironment', 'NXevent_data', - 'NXfermi_chopper', 'NXfilter', 'NXflipper', 'NXfresnel_zone_plate, ''NXgeometry', 'NXgrating', 'NXguide', - 'NXinsertion_device', 'NXinstrument', 'NXlog', 'NXmirror', 'NXmoderator', 'NXmonitor', 'NXmonochromator', - 'NXnote', 'NXobject', 'NXoff_geometry', 'NXorientation', 'NXparameters', 'NXpdb', 'NXpinhole', 'NXpolarizer', - 'NXpositioner', 'NXprocess', 'NXreflections', 'NXroot', 'NXsample', 'NXsample_component', 'NXsensor', 'NXshape', - 'NXslit', 'NXsource', 'NXsubentry', 'NXtransformations', 'NXtranslation', 'NXuser', 'NXvelocity_selector', - 'NXxraylens'] - -#https://manual.nexusformat.org/nxdl-types.html?highlight=nx_number -nx_type_keys = ['NX_BINARY', 'NX_BOOLEAN', 'NX_CHAR', 'NX_DATE_TIME', - 'NX_FLOAT', 'NX_INT', 'NX_NUMBER', 'NX_POSINT', 'NX_UINT', ''] -nx_attr_idnt = '\@' -nx_unit_idnt = 'unit' -nx_unit_typs = ['NX_ANGLE', 'NX_ANY', 'NX_AREA', 'NX_CHARGE', 'NX_CROSS_SECTION', 'NX_CURRENT', 'NX_DIMENSIONLESS', - 'NX_EMITTANCE', 'NX_ENERGY', 'NX_FLUX', 'NX_FREQUENCY', 'NX_LENGTH', 'NX_MASS', 'NX_MASS_DENSITY', - 'NX_MOLECULAR_WEIGHT', 'NX_PERIOD', 'NX_PER_AREA', 'NX_PER_LENGTH', 'NX_POWER', 'NX_PRESSURE', - 'NX_PULSES', 'NX_SCATTERING_LENGTH_DENSITY', 'NX_SOLID_ANGLE', 'NX_TEMPERATURE', 'NX_TIME', - 'NX_TIME_OF_FLIGHT', 'NX_TRANSFORMATION', 'NX_UNITLESS', 'NX_VOLTAGE', 'NX_VOLUME', 'NX_WAVELENGTH', - 'NX_WAVENUMBER'] -nx_cand_clss = ['NXem_lens', 'NXem_c3c5corr','NXem_deflector','NXem_stage'] +NX_CLSS = nexus.get_nx_classes() +NX_NEW_DEFINED_CLASSES = ['NX_COMPLEX'] +NX_TYPE_KEYS = nexus.get_nx_attribute_type() +NX_ATTR_IDNT = '\\@' +NX_UNIT_IDNT = 'unit' +NX_UNIT_TYPS = nexus.get_nx_units() diff --git a/requirements.txt b/requirements.txt index 51256ef14..d3214e3ae 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,10 +1,17 @@ -lxml +click==7.1.2 +lxml==4.7.1 mypy==0.730 pylint==2.3.1 pylint_plugin_utils==0.5 -pycodestyle +pycodestyle==2.8.0 pytest==3.10.0 -pytest-timeout +pytest-timeout==1.4.2 pytest-cov==2.7.1 h5py==3.6.0 -python-json-logger +python-json-logger==2.0.2 +xarray==0.20.2 +pyaml==21.10.1 +numpy==1.21.2 +pandas==1.3.5 +odfpy==1.4.1 +ase==3.19.0 \ No newline at end of file diff --git a/setup.py b/setup.py index a80670971..50047db45 100644 --- a/setup.py +++ b/setup.py @@ -42,7 +42,7 @@ def main(): 'nexusparser.definitions': ['*.xsd'] }, include_package_data=True, - install_requires=['nomad-lab']) + install_requires=['nomad-lab', 'h5py', 'lxml', 'click']) if __name__ == '__main__': diff --git a/tests/data/nexus_test_data/Ref_nexus_test.log b/tests/data/nexus_test_data/Ref_nexus_test.log new file mode 100644 index 000000000..c912e5b5d --- /dev/null +++ b/tests/data/nexus_test_data/Ref_nexus_test.log @@ -0,0 +1,1385 @@ +DEBUG - Creating converter from 3 to 5 +INFO - ===== GROUP (//entry [NXarpes::/NXentry]): +INFO - /NXentry +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry@NX_class) +INFO - value: NXentry +INFO - /NXentry +INFO - @NX_class [NX_CHAR] +INFO - +INFO - ===== FIELD (//entry/collection_time): +INFO - value: 7200 +INFO - /NXentry +INFO - /collection_time [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/collection_time@units) +INFO - value: s +INFO - /NXentry +INFO - /collection_time +INFO - @units [NX_TIME] +INFO - ===== GROUP (//entry/data [NXarpes::/NXentry/NXdata]): +INFO - /NXentry +INFO - /NXdata +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/data@NX_class) +INFO - value: NXdata +INFO - /NXentry +INFO - /NXdata +INFO - @NX_class [NX_CHAR] +INFO - +INFO - ===== ATTRS (//entry/data@axes) +INFO - value: ['angles' 'energies' 'delays'] +INFO - /NXentry +INFO - /NXdata +INFO - @axes - [NX_CHAR] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/data@signal) +INFO - value: data +INFO - /NXentry +INFO - /NXdata +INFO - @signal - [NX_CHAR] +INFO - <> +INFO - doc +INFO - ===== FIELD (//entry/data/angles): +INFO - value: [-1.96735314 -1.91500657 -1.86266001 -1.81031344 -1.75796688 -1.70562031 ... +INFO - /NXentry +INFO - /NXdata +INFO - /angles [NX_NUMBER] +INFO - <> +INFO - Dataset referenced as NXdata AXIS #0 +INFO - doc +INFO - ===== ATTRS (//entry/data/angles@target) +INFO - value: /entry/instrument/analyser/angles +INFO - /NXentry +INFO - /NXdata +INFO - /angles +INFO - @target - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/data/angles@units) +INFO - value: 1/Å +INFO - /NXentry +INFO - /NXdata +INFO - /angles +INFO - @units - REQUIRED, but undefined unit category +INFO - ===== FIELD (//entry/data/data): +INFO - value: [[0. 0. 0. ... 0. 0. 0.] ... +INFO - /NXentry +INFO - /NXdata +INFO - /data [NX_NUMBER] +INFO - <> +INFO - Dataset referenced as NXdata SIGNAL +INFO - doc +INFO - ===== ATTRS (//entry/data/data@target) +INFO - value: /entry/instrument/analyser/data +INFO - /NXentry +INFO - /NXdata +INFO - /data +INFO - @target - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/data/data@units) +INFO - value: counts +INFO - /NXentry +INFO - /NXdata +INFO - /data +INFO - @units - REQUIRED, but undefined unit category +INFO - ===== FIELD (//entry/data/delays): +INFO - value: [-1.1 -1.08041237 -1.06082474 -1.04123711 -1.02164948 -1.00206186 ... +INFO - /NXentry +INFO - /NXdata +INFO - /delays [NX_NUMBER] +INFO - <> +INFO - Dataset referenced as NXdata AXIS #2 +INFO - doc +INFO - ===== ATTRS (//entry/data/delays@target) +INFO - value: /entry/instrument/analyser/delays +INFO - /NXentry +INFO - /NXdata +INFO - /delays +INFO - @target - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/data/delays@units) +INFO - value: fs +INFO - /NXentry +INFO - /NXdata +INFO - /delays +INFO - @units - REQUIRED, but undefined unit category +INFO - ===== FIELD (//entry/data/energies): +INFO - value: [ 2.5 2.46917808 2.43835616 2.40753425 2.37671233 2.34589041 ... +INFO - /NXentry +INFO - /NXdata +INFO - /energies [NX_NUMBER] +INFO - <> +INFO - Dataset referenced as NXdata AXIS #1 +INFO - doc +INFO - ===== ATTRS (//entry/data/energies@target) +INFO - value: /entry/instrument/analyser/energies +INFO - /NXentry +INFO - /NXdata +INFO - /energies +INFO - @target - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/data/energies@units) +INFO - value: eV +INFO - /NXentry +INFO - /NXdata +INFO - /energies +INFO - @units - REQUIRED, but undefined unit category +INFO - ===== FIELD (//entry/definition): +INFO - value: b'NXarpes' +INFO - /NXentry +INFO - /definition [NX_CHAR] +INFO - <> +INFO - enumeration: +INFO - -> NXarpes +INFO - doc +INFO - ===== FIELD (//entry/duration): +INFO - value: 7200 +INFO - /NXentry +INFO - /duration [NX_INT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/duration@units) +INFO - value: s +INFO - /NXentry +INFO - /duration +INFO - @units [NX_TIME] +INFO - ===== FIELD (//entry/end_time): +INFO - value: b'2018-05-01T09:22:00+02:00' +INFO - /NXentry +INFO - /end_time [NX_DATE_TIME] +INFO - <> +INFO - doc +INFO - ===== FIELD (//entry/entry_identifier): +INFO - value: b'Run 22118' +INFO - /NXentry +INFO - /entry_identifier [NX_CHAR] +INFO - <> +INFO - doc +INFO - ===== FIELD (//entry/experiment_identifier): +INFO - value: b'F-20170538' +INFO - /NXentry +INFO - /experiment_identifier [NX_CHAR] +INFO - <> +INFO - doc +INFO - ===== GROUP (//entry/instrument [NXarpes::/NXentry/NXinstrument]): +INFO - /NXentry +INFO - /NXinstrument +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument@NX_class) +INFO - value: NXinstrument +INFO - /NXentry +INFO - /NXinstrument +INFO - @NX_class [NX_CHAR] +INFO - +INFO - ===== GROUP (//entry/instrument/analyser [NXarpes::/NXentry/NXinstrument/NXdetector]): +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/analyser@NX_class) +INFO - value: NXdetector +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - @NX_class [NX_CHAR] +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/acquisition_mode): +INFO - value: b'fixed' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /acquisition_mode [NX_CHAR] +INFO - <> +INFO - enumeration: +INFO - -> gated +INFO - -> triggered +INFO - -> summed +INFO - -> event +INFO - -> histogrammed +INFO - -> decimated +INFO - doc +INFO - ===== FIELD (//entry/instrument/analyser/amplifier_type): +INFO - value: b'MCP' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /amplifier_type - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/contrast_aperture): +INFO - value: b'Out' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /contrast_aperture - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/detector_type): +INFO - value: b'DLD' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /detector_type - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/dispersion_scheme): +INFO - value: b'Time of flight' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /dispersion_scheme - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/entrance_slit_setting): +INFO - value: 0 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /entrance_slit_setting - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/entrance_slit_shape): +INFO - value: b'straight' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /entrance_slit_shape - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/entrance_slit_size): +INFO - value: 750 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /entrance_slit_size - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/analyser/entrance_slit_size@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /entrance_slit_size - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/extractor_voltage): +INFO - value: 6030 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /extractor_voltage - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/analyser/extractor_voltage@units) +INFO - value: V +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /extractor_voltage - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/field_aperture_x): +INFO - value: -0.2 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /field_aperture_x - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/analyser/field_aperture_x@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /field_aperture_x - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/field_aperture_y): +INFO - value: 5.35 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /field_aperture_y - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/analyser/field_aperture_y@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /field_aperture_y - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/lens_mode): +INFO - value: b'20180430_KPEEM_M_-2.5_FoV6.2_rezAA_20ToF_focused.sav' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /lens_mode - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/magnification): +INFO - value: -1.5 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /magnification - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/pass_energy): +INFO - value: 20 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /pass_energy - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/analyser/pass_energy@units) +INFO - value: eV +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /pass_energy - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/projection): +INFO - value: b'reciprocal' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /projection - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/region_origin): +INFO - value: [0 0] +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /region_origin - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/region_size): +INFO - value: [ 80 146] +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /region_size - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/sensor_count): +INFO - value: 4 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /sensor_count - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/sensor_size): +INFO - value: [ 80 146] +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /sensor_size - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/time_per_channel): +INFO - value: 7200 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /time_per_channel - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/analyser/time_per_channel@units) +INFO - value: s +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /time_per_channel - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/analyser/working_distance): +INFO - value: 4 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /working_distance - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/analyser/working_distance@units) +INFO - value: mm +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXdetector +INFO - /working_distance - IS NOT IN SCHEMA +INFO - +INFO - ===== GROUP (//entry/instrument/beam_probe_0 [NXarpes::/NXentry/NXinstrument/NXbeam]): +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/beam_probe_0@NX_class) +INFO - value: NXbeam +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - @NX_class [NX_CHAR] +INFO - +INFO - ===== FIELD (//entry/instrument/beam_probe_0/distance): +INFO - value: 0 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /distance [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/beam_probe_0/distance@units) +INFO - value: cm +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /distance +INFO - @units [NX_LENGTH] +INFO - ===== FIELD (//entry/instrument/beam_probe_0/photon_energy): +INFO - value: 36.49699020385742 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /photon_energy - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_probe_0/photon_energy@units) +INFO - value: eV +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /photon_energy - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_probe_0/polarization_angle): +INFO - value: 0.0 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /polarization_angle - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_probe_0/polarization_angle@units) +INFO - value: deg +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /polarization_angle - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_probe_0/polarization_ellipticity): +INFO - value: 0.0 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /polarization_ellipticity - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_probe_0/pulse_duration): +INFO - value: 70 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /pulse_duration - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_probe_0/pulse_duration@units) +INFO - value: fs +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /pulse_duration - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_probe_0/size_x): +INFO - value: 500 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /size_x - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_probe_0/size_x@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /size_x - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_probe_0/size_y): +INFO - value: 200 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /size_y - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_probe_0/size_y@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /size_y - IS NOT IN SCHEMA +INFO - +INFO - ===== GROUP (//entry/instrument/beam_pump_0 [NXarpes::/NXentry/NXinstrument/NXbeam]): +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/beam_pump_0@NX_class) +INFO - value: NXbeam +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - @NX_class [NX_CHAR] +INFO - +INFO - ===== FIELD (//entry/instrument/beam_pump_0/average_power): +INFO - value: 6.21289 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /average_power - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_pump_0/average_power@units) +INFO - value: uW +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /average_power - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_pump_0/center_wavelength): +INFO - value: 800 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /center_wavelength - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_pump_0/center_wavelength@units) +INFO - value: nm +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /center_wavelength - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_pump_0/distance): +INFO - value: 0 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /distance [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/beam_pump_0/distance@units) +INFO - value: cm +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /distance +INFO - @units [NX_LENGTH] +INFO - ===== FIELD (//entry/instrument/beam_pump_0/fluence): +INFO - value: 5 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /fluence - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_pump_0/fluence@units) +INFO - value: mJ/cm^2 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /fluence - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_pump_0/photon_energy): +INFO - value: 1.55 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /photon_energy - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_pump_0/photon_energy@units) +INFO - value: eV +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /photon_energy - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_pump_0/polarization_angle): +INFO - value: nan +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /polarization_angle - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_pump_0/polarization_angle@units) +INFO - value: deg +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /polarization_angle - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_pump_0/polarization_ellipticity): +INFO - value: -1.0 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /polarization_ellipticity - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_pump_0/pulse_duration): +INFO - value: 50 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /pulse_duration - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_pump_0/pulse_duration@units) +INFO - value: fs +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /pulse_duration - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_pump_0/pulse_energy): +INFO - value: 1.24258 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /pulse_energy - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_pump_0/pulse_energy@units) +INFO - value: nJ +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /pulse_energy - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_pump_0/size_x): +INFO - value: 500 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /size_x - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_pump_0/size_x@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /size_x - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/beam_pump_0/size_y): +INFO - value: 200 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /size_y - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/beam_pump_0/size_y@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXbeam +INFO - /size_y - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/energy_resolution): +INFO - value: 100 +INFO - /NXentry +INFO - /NXinstrument +INFO - /energy_resolution - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/energy_resolution@units) +INFO - value: meV +INFO - /NXentry +INFO - /NXinstrument +INFO - /energy_resolution - IS NOT IN SCHEMA +INFO - +INFO - ===== GROUP (//entry/instrument/manipulator [NXarpes::/NXentry/NXinstrument/NXpositioner]): +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/manipulator@NX_class) +INFO - value: NXpositioner +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - @NX_class [NX_CHAR] +INFO - +INFO - ===== FIELD (//entry/instrument/manipulator/pos_x1): +INFO - value: 11.3 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /pos_x1 - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/manipulator/pos_x1@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /pos_x1 - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/manipulator/pos_x2): +INFO - value: 11.3 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /pos_x2 - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/manipulator/pos_x2@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /pos_x2 - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/manipulator/pos_y): +INFO - value: 7.2 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /pos_y - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/manipulator/pos_y@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /pos_y - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/manipulator/pos_z1): +INFO - value: 20.77 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /pos_z1 - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/manipulator/pos_z1@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /pos_z1 - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/manipulator/pos_z2): +INFO - value: 21.2 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /pos_z2 - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/manipulator/pos_z2@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /pos_z2 - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/manipulator/pos_z3): +INFO - value: 20.22 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /pos_z3 - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/manipulator/pos_z3@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /pos_z3 - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/manipulator/sample_bias): +INFO - value: 29 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /sample_bias - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/manipulator/sample_bias@target) +INFO - value: /entry/instrument/manipulator/sample_bias +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /sample_bias - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/manipulator/sample_bias@units) +INFO - value: V +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /sample_bias - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/manipulator/sample_temperature): +INFO - value: 300 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /sample_temperature - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/manipulator/sample_temperature@target) +INFO - value: /entry/instrument/manipulator/sample_temperature +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /sample_temperature - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/manipulator/sample_temperature@units) +INFO - value: K +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /sample_temperature - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/manipulator/type): +INFO - value: b'Hexapod' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXpositioner +INFO - /type - IS NOT IN SCHEMA +INFO - +INFO - ===== GROUP (//entry/instrument/monochromator [NXarpes::/NXentry/NXinstrument/NXmonochromator]): +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXmonochromator +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/monochromator@NX_class) +INFO - value: NXmonochromator +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXmonochromator +INFO - @NX_class [NX_CHAR] +INFO - +INFO - ===== FIELD (//entry/instrument/monochromator/energy): +INFO - value: 36.49699020385742 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXmonochromator +INFO - /energy [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/monochromator/energy@units) +INFO - value: eV +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXmonochromator +INFO - /energy +INFO - @units [NX_ENERGY] +INFO - ===== FIELD (//entry/instrument/monochromator/energy_error): +INFO - value: 0.21867309510707855 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXmonochromator +INFO - /energy_error [NX_FLOAT] +INFO - <> +INFO - DEPRECATED - see https://github.com/nexusformat/definitions/issues/820 +INFO - doc +INFO - ===== ATTRS (//entry/instrument/monochromator/energy_error@units) +INFO - value: eV +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXmonochromator +INFO - /energy_error +INFO - @units [NX_ENERGY] +INFO - ===== GROUP (//entry/instrument/monochromator/slit [NXarpes::/NXentry/NXinstrument/NXmonochromator/NXslit]): +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXmonochromator +INFO - /NXslit - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/monochromator/slit@NX_class) +INFO - value: NXslit +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXmonochromator +INFO - /NXslit - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/monochromator/slit/y_gap): +INFO - value: 2000.04833984375 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXmonochromator +INFO - /NXslit - IS NOT IN SCHEMA +INFO - /y_gap - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/monochromator/slit/y_gap@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXmonochromator +INFO - /NXslit - IS NOT IN SCHEMA +INFO - /y_gap - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/name): +INFO - value: b'HEXTOF @ PG-2, Flash' +INFO - /NXentry +INFO - /NXinstrument +INFO - /name [NX_CHAR] +INFO - <> +INFO - doc +INFO - ===== GROUP (//entry/instrument/source [NXarpes::/NXentry/NXinstrument/NXsource]): +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/source@NX_class) +INFO - value: NXsource +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - @NX_class [NX_CHAR] +INFO - +INFO - ===== FIELD (//entry/instrument/source/bunch_distance): +INFO - value: 1 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /bunch_distance [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/source/bunch_distance@units) +INFO - value: us +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /bunch_distance +INFO - @units [NX_TIME] +INFO - ===== FIELD (//entry/instrument/source/bunch_length): +INFO - value: 100 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /bunch_length [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/source/bunch_length@units) +INFO - value: fs +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /bunch_length +INFO - @units [NX_TIME] +INFO - ===== FIELD (//entry/instrument/source/burst_distance): +INFO - value: 199.5 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /burst_distance - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/source/burst_distance@units) +INFO - value: ms +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /burst_distance - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/source/burst_length): +INFO - value: 500 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /burst_length - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/source/burst_length@units) +INFO - value: us +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /burst_length - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/source/burst_number_end): +INFO - value: 102680129 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /burst_number_end - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/source/burst_number_start): +INFO - value: 102644001 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /burst_number_start - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/source/current): +INFO - value: 1 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /current [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/source/current@units) +INFO - value: uA +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /current +INFO - @units [NX_CURRENT] +INFO - ===== FIELD (//entry/instrument/source/energy): +INFO - value: 427 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /energy [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/source/energy@units) +INFO - value: MeV +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /energy +INFO - @units [NX_ENERGY] +INFO - ===== FIELD (//entry/instrument/source/frequency): +INFO - value: 10 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /frequency [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/source/frequency@units) +INFO - value: Hz +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /frequency +INFO - @units [NX_FREQUENCY] +INFO - ===== FIELD (//entry/instrument/source/mode): +INFO - value: b'Burst' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /mode [NX_CHAR] +INFO - <> +INFO - enumeration: +INFO - -> Single Bunch +INFO - -> Multi Bunch +INFO - doc +INFO - ===== FIELD (//entry/instrument/source/name): +INFO - value: b'FLASH' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /name [NX_CHAR] +INFO - <> +INFO - +INFO - ===== FIELD (//entry/instrument/source/number_of_bunches): +INFO - value: 500 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /number_of_bunches [NX_INT] +INFO - <> +INFO - doc +INFO - ===== FIELD (//entry/instrument/source/number_of_bursts): +INFO - value: 1 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /number_of_bursts - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/source/probe): +INFO - value: b'x-ray' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /probe [NX_CHAR] +INFO - <> +INFO - enumeration: +INFO - -> x-ray +INFO - +INFO - ===== FIELD (//entry/instrument/source/top_up): +INFO - value: True +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /top_up [NX_BOOLEAN] +INFO - <> +INFO - doc +INFO - ===== FIELD (//entry/instrument/source/type): +INFO - value: b'Free Electron Laser' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /type [NX_CHAR] +INFO - <> +INFO - +INFO - ===== GROUP (//entry/instrument/source_pump [NXarpes::/NXentry/NXinstrument/NXsource]): +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/source_pump@NX_class) +INFO - value: NXsource +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - @NX_class [NX_CHAR] +INFO - +INFO - ===== FIELD (//entry/instrument/source_pump/bunch_distance): +INFO - value: 1 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /bunch_distance [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/source_pump/bunch_distance@units) +INFO - value: us +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /bunch_distance +INFO - @units [NX_TIME] +INFO - ===== FIELD (//entry/instrument/source_pump/bunch_length): +INFO - value: 50 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /bunch_length [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/source_pump/bunch_length@units) +INFO - value: fs +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /bunch_length +INFO - @units [NX_TIME] +INFO - ===== FIELD (//entry/instrument/source_pump/burst_distance): +INFO - value: 199.6 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /burst_distance - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/source_pump/burst_distance@units) +INFO - value: ms +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /burst_distance - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/source_pump/burst_length): +INFO - value: 400 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /burst_length - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/source_pump/burst_length@units) +INFO - value: us +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /burst_length - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/source_pump/frequency): +INFO - value: 10 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /frequency [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/instrument/source_pump/frequency@units) +INFO - value: Hz +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /frequency +INFO - @units [NX_FREQUENCY] +INFO - ===== FIELD (//entry/instrument/source_pump/mode): +INFO - value: b'Burst' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /mode [NX_CHAR] +INFO - <> +INFO - enumeration: +INFO - -> Single Bunch +INFO - -> Multi Bunch +INFO - doc +INFO - ===== FIELD (//entry/instrument/source_pump/name): +INFO - value: b'User Laser @ FLASH' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /name [NX_CHAR] +INFO - <> +INFO - +INFO - ===== FIELD (//entry/instrument/source_pump/number_of_bunches): +INFO - value: 400 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /number_of_bunches [NX_INT] +INFO - <> +INFO - doc +INFO - ===== FIELD (//entry/instrument/source_pump/number_of_bursts): +INFO - value: 1 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /number_of_bursts - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/source_pump/probe): +INFO - value: b'NIR' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /probe [NX_CHAR] +INFO - <> +INFO - enumeration: +INFO - -> x-ray +INFO - +INFO - ===== FIELD (//entry/instrument/source_pump/rms_jitter): +INFO - value: 204.68816194453154 +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /rms_jitter - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/source_pump/rms_jitter@units) +INFO - value: fs +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /rms_jitter - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/source_pump/type): +INFO - value: b'OPCPA' +INFO - /NXentry +INFO - /NXinstrument +INFO - /NXsource +INFO - /type [NX_CHAR] +INFO - <> +INFO - +INFO - ===== FIELD (//entry/instrument/spatial_resolution): +INFO - value: 500 +INFO - /NXentry +INFO - /NXinstrument +INFO - /spatial_resolution - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/spatial_resolution@units) +INFO - value: um +INFO - /NXentry +INFO - /NXinstrument +INFO - /spatial_resolution - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/instrument/temporal_resolution): +INFO - value: 100 +INFO - /NXentry +INFO - /NXinstrument +INFO - /temporal_resolution - IS NOT IN SCHEMA +INFO - +INFO - ===== ATTRS (//entry/instrument/temporal_resolution@units) +INFO - value: fs +INFO - /NXentry +INFO - /NXinstrument +INFO - /temporal_resolution - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/run_cycle): +INFO - value: b'2018 User Run Block 2' +INFO - /NXentry +INFO - /run_cycle [NX_CHAR] +INFO - <> +INFO - doc +INFO - ===== GROUP (//entry/sample [NXarpes::/NXentry/NXsample]): +INFO - /NXentry +INFO - /NXsample +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/sample@NX_class) +INFO - value: NXsample +INFO - /NXentry +INFO - /NXsample +INFO - @NX_class [NX_CHAR] +INFO - +INFO - ===== FIELD (//entry/sample/chem_id_cas): +INFO - value: b'12067-46-8' +INFO - /NXentry +INFO - /NXsample +INFO - /chem_id_cas - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/sample/chemical_name): +INFO - value: b'Tungsten diselenide' +INFO - /NXentry +INFO - /NXsample +INFO - /chemical_name - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/sample/growth_method): +INFO - value: b'Chemical Vapor Deposition' +INFO - /NXentry +INFO - /NXsample +INFO - /growth_method - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/sample/layer): +INFO - value: b'bulk' +INFO - /NXentry +INFO - /NXsample +INFO - /layer - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/sample/name): +INFO - value: b'WSe2' +INFO - /NXentry +INFO - /NXsample +INFO - /name [NX_CHAR] +INFO - <> +INFO - doc +INFO - ===== FIELD (//entry/sample/preparation_method): +INFO - value: b'in-vacuum cleave' +INFO - /NXentry +INFO - /NXsample +INFO - /preparation_method - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/sample/pressure): +INFO - value: 3.27e-10 +INFO - /NXentry +INFO - /NXsample +INFO - /pressure [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/sample/pressure@units) +INFO - value: mbar +INFO - /NXentry +INFO - /NXsample +INFO - /pressure +INFO - @units [NX_PRESSURE] +INFO - ===== FIELD (//entry/sample/purity): +INFO - value: 0.999 +INFO - /NXentry +INFO - /NXsample +INFO - /purity - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/sample/state): +INFO - value: b'monocrystalline solid' +INFO - /NXentry +INFO - /NXsample +INFO - /state - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/sample/surface_orientation): +INFO - value: b'0001' +INFO - /NXentry +INFO - /NXsample +INFO - /surface_orientation - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/sample/thickness): +INFO - value: 0.5 +INFO - /NXentry +INFO - /NXsample +INFO - /thickness [NX_FLOAT] +INFO - <> +INFO - doc +INFO - ===== ATTRS (//entry/sample/thickness@units) +INFO - value: mm +INFO - /NXentry +INFO - /NXsample +INFO - /thickness +INFO - @units [NX_LENGTH] +INFO - ===== FIELD (//entry/sample/vendor): +INFO - value: b'HQ Graphene' +INFO - /NXentry +INFO - /NXsample +INFO - /vendor - IS NOT IN SCHEMA +INFO - +INFO - ===== FIELD (//entry/start_time): +INFO - value: b'2018-05-01T07:22:00+02:00' +INFO - /NXentry +INFO - /start_time [NX_DATE_TIME] +INFO - <> +INFO - +INFO - ===== FIELD (//entry/title): +INFO - value: b'Excited-state dynamics of WSe2 in the Valence Band and Core-Levels' +INFO - /NXentry +INFO - /title [NX_CHAR] +INFO - <> +INFO - +INFO - ======================== +INFO - === Default Plotable === +INFO - ======================== +INFO - No NXentry has been found diff --git a/tests/data/tools/dataconverter/NXtest.nxdl.xml b/tests/data/tools/dataconverter/NXtest.nxdl.xml new file mode 100644 index 000000000..4c79370f5 --- /dev/null +++ b/tests/data/tools/dataconverter/NXtest.nxdl.xml @@ -0,0 +1,59 @@ + + + + This is a dummy NXDL to test out the dataconverter. + + + + This is a dummy NXDL to test out the dataconverter. + + + + + + + + + A dummy entry for a float value. + + + A dummy entry for a bool value. + + + A dummy entry for an int value. + + + A dummy entry for a positive int value. + + + A dummy entry for a char value. + + + A dummy entry for a date value. + + + + + + + + + + + + + A dummy entry to test optional parent check for required child. + + + A dummy entry to test optional parent check for required child. + + + + diff --git a/tests/data/tools/dataconverter/readers/apm/Apm.NeXus.Apm.Example.1.ipynb b/tests/data/tools/dataconverter/readers/apm/Apm.NeXus.Apm.Example.1.ipynb new file mode 100644 index 000000000..e3852ebae --- /dev/null +++ b/tests/data/tools/dataconverter/readers/apm/Apm.NeXus.Apm.Example.1.ipynb @@ -0,0 +1,606 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## nomad-parser-nexus demo" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sprint5, APM" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step -1: Set up dependencies for jupyterlab_h5web" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Instructions how to set up all dependencies to start a new virtualenv with a jupyterlab installation.

" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# instructions how to set up all dependencies to start a new virtualenv with a jupyterlab installation\n", + "# ! pip install virtualenv\n", + "# ! virtualenv --python=python3.7 .py37env\n", + "# ! source .py37env/bin/activate\n", + "\n", + "# install jupyter, jupyter-lab and web extensions\n", + "\n", + "#inside SPRINT5-JUPYTER-TEST-02, conda, python 3.7, jupyter, jupyterlab" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! pip install --upgrade nodejs && pip install ipywidgets h5py==3.5.0 h5glance==0.7 h5grove==0.0.8 jupyterlab[full]==2.3.0 jupyterlab_h5web[full]==0.0.11 punx==0.2.5 nexpy==0.14.1 silx[full] && jupyter lab build" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! jupyter nbextension enable --py widgetsnbextension" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! jupyter serverextension enable jupyterlab_h5web" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Restart the Jupyter kernel, or easier start the following code after you have setup these environment steps.

" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 0: Installating and testing nomad-parser-nexus module" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "! pip list && pip install --upgrade pip && pip install nomad-lab==1.0.0 --extra-index-url https://gitlab.mpcdf.mpg.de/api/v4/projects/2187/packages/pypi/simple" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "! git clone https://github.com/nomad-coe/nomad-parser-nexus.git --branch yaml2nxdl --recursive parser-nexus && cd parser-nexus && git status && pip install -r requirements.txt\n", + "# once yaml2nxdl was merged with master\n", + "# ! git clone https://github.com/nomad-coe/nomad-parser-nexus.git --recursive parser-nexus && cd parser-nexus && git status && pip install -r requirements.txt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! cd parser-nexus && git status && git pull && pip install -r requirements.txt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "! cd parser-nexus && pip install -e .[all]\n", + "! pip list | grep nomad*\n", + "! pip list | grep nexus*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# in the above cells clear redundant commands based on todays history\n", + "! cd parser-nexus && pytest -sv tests" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "### Step 1: Download atom probe example data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import shutil # unpacks in current path unless an additional path argument is provided\n", + "# http://dx.doi.org/10.5281/zenodo.5911240\n", + "# ! curl --output APM.LEAP.Datasets.1.zip https://zenodo.org/record/5911240/files/APM.LEAP.Datasets.1.zip\n", + "# shutil.unpack_archive('APM.LEAP.Datasets.1.zip')\n", + "# ! curl --output APM.LEAP.Datasets.2.zip https://zenodo.org/record/5911240/files/APM.LEAP.Datasets.2.zip\n", + "# shutil.unpack_archive('APM.LEAP.Datasets.2.zip')\n", + "! curl --output APM.LEAP.Datasets.3.zip https://zenodo.org/record/5911240/files/APM.LEAP.Datasets.3.zip\n", + "shutil.unpack_archive('APM.LEAP.Datasets.3.zip')\n", + "# remove obsolete example files\n", + "! rm -f R31_06365-v02.ELabFTW.12.json" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

These files should serve exclusively as examples. Use always a triplett of files (for now), i.e. an (apt or pos or epos) plus an (rng or rrng), and the json file respectively.

" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "### Step 2: Run atom-probe-microscopy-specific dataconverter/readers/apm on your atom probe example data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "PREFIX = \"parser-nexus/tests/data/tools/dataconverter/readers/apm/\"" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using apm reader to convert the given files: \n", + "• parser-nexus/tests/data/tools/dataconverter/readers/apm/R31_06365-v02.pos\n", + "• parser-nexus/tests/data/tools/dataconverter/readers/apm/R31_06365-v02.rrng\n", + "• parser-nexus/tests/data/tools/dataconverter/readers/apm/ManuallyCollectedMetadata.json \n", + "Add metadata which come from other sources...\n", + "Add (optional) vendor file data...\n", + "Extracting data from POS file: parser-nexus/tests/data/tools/dataconverter/readers/apm/R31_06365-v02.pos\n", + "Add (optional) ranging data...\n", + "Extracting data from RRNG file: parser-nexus/tests/data/tools/dataconverter/readers/apm/R31_06365-v02.rrng\n", + "The output file generated: apm3.test.nxs\n" + ] + } + ], + "source": [ + "# ! python parser-nexus/nexusparser/tools/dataconverter/convert.py --reader apm --nxdl parser-nexus/nexusparser/definitions/applications/NXapm.nxdl.xml \\\n", + "# --input-file parser-nexus/tests/data/tools/dataconverter/readers/apm/70_50_50.apt \\\n", + "# --input-file parser-nexus/tests/data/tools/dataconverter/readers/apm/SeHoKim_R5076_44076_v02.rng \\\n", + "# --input-file parser-nexus/tests/data/tools/dataconverter/readers/apm/ManuallyCollectedMetadata.json --output apm1.test.nxs\n", + "# ! python parser-nexus/nexusparser/tools/dataconverter/convert.py --reader apm --nxdl parser-nexus/nexusparser/definitions/applications/NXapm.nxdl.xml \\\n", + "# --input-file parser-nexus/tests/data/tools/dataconverter/readers/apm/R18_53222_W_18K-v01.epos \\\n", + "# --input-file parser-nexus/tests/data/tools/dataconverter/readers/apm/SeHoKim_R5076_44076_v02.rrng \\\n", + "# --input-file ManuallyCollectedMetadata.json --output apm2.test.nxs\n", + "! python parser-nexus/nexusparser/tools/dataconverter/convert.py --reader apm --nxdl parser-nexus/nexusparser/definitions/applications/NXapm.nxdl.xml \\\n", + "--input-file parser-nexus/tests/data/tools/dataconverter/readers/apm/R31_06365-v02.pos \\\n", + "--input-file parser-nexus/tests/data/tools/dataconverter/readers/apm/R31_06365-v02.rrng \\\n", + "--input-file parser-nexus/tests/data/tools/dataconverter/readers/apm/ManuallyCollectedMetadata.json --output apm3.test.nxs" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# ! python parser-nexus/nexusparser/tools/dataconverter/convert.py --reader em_nion --nxdl parser-nexus/nexusparser/definitions/applications/NXem_nion.nxdl.xml --input-file HAADF_01.npy --input-file HAADF_01.ELabFTW.dat --input-file HAADF_01.json --output nion.test.nxs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**The key take home message is that the above-specified command triggers the automatic creation of the HDF5 file**. This *.nxs file, is an HDF5 file." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 3: Inspect the HDF5/NeXus file apm.test.nxs using H5Web" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "config dir: /home/mkuehbach/.jupyter\n", + " jupyterlab_h5web \u001b[32m enabled \u001b[0m\n", + " - Validating...\n", + " jupyterlab_h5web \u001b[32mOK\u001b[0m\n", + "config dir: /home/mkuehbach/SPRINT5-JUPYTER-TEST-03/.pyenv/etc/jupyter\n", + " jupyterlab_h5web \u001b[32m enabled \u001b[0m\n", + " - Validating...\n", + " jupyterlab_h5web \u001b[32mOK\u001b[0m\n", + " jupyterlab \u001b[32m enabled \u001b[0m\n", + " - Validating...\n", + " jupyterlab 2.3.0 \u001b[32mOK\u001b[0m\n", + "JupyterLab v2.3.0\n", + "Known labextensions:\n", + " app dir: /home/mkuehbach/SPRINT5-JUPYTER-TEST-03/.pyenv/share/jupyter/lab\n", + " jupyterlab-h5web v0.0.11 \u001b[32m enabled \u001b[0m \u001b[32mOK\u001b[0m\n" + ] + } + ], + "source": [ + "! jupyter serverextension list\n", + "! jupyter labextension list" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "from jupyterlab_h5web import H5Web" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "# h5_file_name = 'PARAPROBE.Nanochem.Config.SimID.1.h5'\n", + "# h5_file_name = 'parser-nexus/tests/data/nexus_test_data/201805_WSe2_arpes.nxs'\n", + "h5_file_name = 'apm1.test.nxs'\n", + "h5_file_name = 'apm2.test.nxs'\n", + "h5_file_name = 'apm3.test.nxs'\n", + "# h5_file_name = 'nion.test.nxs'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here is where the general template ends. Continue to fill the notebook based on
\n", + "**your own** post-processing of the *.nxs file, taking e.g. inspiration from
\n", + "sprints 2 and 3 in the nomad-remote-tools-hub mpcdf git repo." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "application/x-hdf5": "/home/mkuehbach/SPRINT5-JUPYTER-TEST-03/apm3.test.nxs", + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H5Web(h5_file_name)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Congratulations." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 4: Do e.g. some post-processing with apm1.test.nxs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To compute a mass-to-charge histogram and explore eventual ranging definitions that have also been carried over in the conversion step (step 6)." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.collections import PatchCollection\n", + "from matplotlib.patches import Rectangle\n", + "plt.rcParams['figure.figsize'] = [20, 10]\n", + "plt.rcParams['figure.dpi'] = 300\n", + "import h5py as h5\n", + "#needs shutils for decompressing zip archives, which is a default module/package in Python since >=v3.6" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Read mass-to-charge-state ratio values, create a histogram (\"mass spectrum\"), and mark ranges." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Array with mass-to-charge-state ratios loaded\n", + "27 iontypes were distinguished\n" + ] + } + ], + "source": [ + "# load data and ranges\n", + "hf = h5.File(h5_file_name, 'r')\n", + "mq = hf['entry/atom_probe/mass_to_charge_conversion/mass_to_charge'][:]\n", + "nions = np.uint32(hf['entry/atom_probe/ranging/number_of_iontypes'])\n", + "print('Array with mass-to-charge-state ratios loaded')\n", + "print(str(nions) + ' iontypes were distinguished')" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dataset ranging from [0.0, 100.0] Da.\n", + "Using a mass-to-charge-state ratio resolution of 0.01 Da.\n" + ] + } + ], + "source": [ + "# define binning\n", + "[mqmin, mqmax] = [0., 100.0] # Da np.max(mq)]\n", + "print('Dataset ranging from [' + str(mqmin) + ', ' + str(mqmax) +'] Da.')\n", + "mqincr = 0.01 #Da\n", + "print('Using a mass-to-charge-state ratio resolution of '+str(mqincr)+' Da.')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Histogram has 10001 bins.\n" + ] + } + ], + "source": [ + "# transform collection of mass-to-charge-state ratios into a histogram\n", + "hst1d = np.unique(np.uint64(np.floor((mq[np.logical_and(mq >= mqmin, mq <= mqmax)] - mqmin) / mqincr)), return_counts=True)\n", + "nbins = np.uint64((mqmax - mqmin) / mqincr + 1)\n", + "print('Histogram has ' + str(nbins) + ' bins.')" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mass-to-charge-state histogram created.\n" + ] + } + ], + "source": [ + "# use matplotlib and numpy to plot histogram data \n", + "xy = np.zeros([nbins, 2], np.float64)\n", + "xy[:,0] = np.linspace(mqmin + mqincr, mqmax + mqincr, nbins, endpoint=True)\n", + "xy[:,1] = 0.5 # * np.ones([nbins], np.float64) # 0.5 to be able to plot logarithm you can not measure half an atom\n", + "for i in np.arange(0, len(hst1d[0])):\n", + " binidx = hst1d[0][i]\n", + " xy[binidx, 1] = hst1d[1][i]\n", + "print('Mass-to-charge-state histogram created.')" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mass-to-charge-state histogram visualized.\n" + ] + }, + { + "data": { + "text/plain": [ + "(0.5, 10099999.995)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "[xmi, xmx, ymi, ymx] = [mqmin, 10**np.ceil(np.log10(mqmax)), 0.5, 10**np.ceil(np.log10(np.max(xy[:,1])))]\n", + "[xmi, xmx, ymi, ymx] = [mqmin, mqmax, 0.5, 10**np.ceil(np.log10(np.max(xy[:,1])))]\n", + "fig, cnts_over_mq = plt.subplots(1, 1)\n", + "plt.plot(xy[:, 0], xy[:, 1], color='blue', alpha=0.5, linewidth=1.0)\n", + "for i in np.arange(1,nions + 1):\n", + " # load ranges and plot them\n", + " ranges = hf['entry/atom_probe/ranging/peak_identification/ion' + str(i) + '/mass_to_charge_range'][:]\n", + " for min_max in ranges:\n", + " cnts_over_mq.vlines(min_max[0], 0, 1, transform=cnts_over_mq.get_xaxis_transform(), alpha=0.1, color='grey', linestyles='dotted')\n", + " cnts_over_mq.vlines(min_max[1], 0, 1, transform=cnts_over_mq.get_xaxis_transform(), alpha=0.1, color='grey', linestyles='dotted')\n", + " #rng = Rectangle((min_max[0], ymi), min_max[1] - min_max[0], ymx - ymi, edgecolor='r', facecolor=\"none\")\n", + "# plt.xticks([1, 2, 3, 4, 5, 6, 7, 8, 9], ['Min', '0.0025', '0.025', '0.25', '0.50', '0.75', '0.975', '0.9975', 'Max'])\n", + "plt.yscale('log')\n", + "plt.legend( [r'Mass-to-charge-state ratio $\\Delta\\frac{m}{q} = $'+str(mqincr)+' Da'], loc='upper right')\n", + "plt.xlabel(r'Mass-to-charge-state-ratio (Da)')\n", + "plt.ylabel(r'Counts')\n", + "print('Mass-to-charge-state histogram visualized.')\n", + "# scale bar with add margin to the bottom and top of the yaxis to avoid that lines fall on x axis\n", + "margin=0.01 # polishing the margins\n", + "plt.xlim([-margin * (xmx - xmi) + xmi, +margin * (xmx - xmi) + xmx])\n", + "plt.ylim([ymi, +margin * (ymx - ymi) + ymx])" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "apm3.test.nxs.MassToChargeStateRatios.png stored to disk.\n" + ] + } + ], + "source": [ + "#plot the figure\n", + "figfn = h5_file_name + '.MassToChargeStateRatios.png'\n", + "fig.savefig(figfn, dpi=300, facecolor='w', edgecolor='w', orientation='landscape', format='png', \n", + " transparent=False, bbox_inches='tight', pad_inches=0.1, metadata=None)\n", + "#plt.close('all')\n", + "print(figfn + ' stored to disk.')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### NEW ISSUES:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* Add more sophisticated legend and names for iontypes\n", + "* Make the above plot interactive, maybe directly inside h5web or another ipywidget?\n", + "* Feel free to explore our paraprobe container in the north branch for more advanced processing" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tests/data/tools/dataconverter/readers/ellips/ELLIPSOMETRY.NeXus.READER.EXAMPLE.02.ipynb b/tests/data/tools/dataconverter/readers/ellips/ELLIPSOMETRY.NeXus.READER.EXAMPLE.02.ipynb new file mode 100644 index 000000000..6699a967f --- /dev/null +++ b/tests/data/tools/dataconverter/readers/ellips/ELLIPSOMETRY.NeXus.READER.EXAMPLE.02.ipynb @@ -0,0 +1,2825 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## nomad-parser-nexus demo" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Add punchline." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step -1: Set up dependencies for jupyterlab_h5web" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# start with a fresh virtualenv\n", + "# ! pip install virtualenv\n", + "# ! virtualenv --python=python3.7 .py37env\n", + "# ! source .py37env/bin/activate\n", + "\n", + "# install jupyter, jupyter-lab and web extensions\n", + "\n", + "#inside SPRINT5-JUPYTER-TEST-02, conda, python 3.7, jupyter, jupyterlab" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! pip install --upgrade nodejs && pip install ipywidgets h5py==3.5.0 h5glance==0.7 h5grove==0.0.8 jupyterlab[full]==2.3.0 jupyterlab_h5web[full]==0.0.11 punx==0.2.5 nexpy==0.14.1 silx[full] && jupyter lab build" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! jupyter nbextension enable --py widgetsnbextension" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! jupyter serverextension enable jupyterlab_h5web" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Restart the Jupyter kernel" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 0: Installating and testing nomad-parser-nexus module" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Package Version \n", + "-------------------- ---------\n", + "ansi2html 1.6.0 \n", + "anyio 3.5.0 \n", + "appdirs 1.4.4 \n", + "argon2-cffi 21.3.0 \n", + "argon2-cffi-bindings 21.2.0 \n", + "asteval 0.9.26 \n", + "attrs 21.4.0 \n", + "backcall 0.2.0 \n", + "bleach 4.1.0 \n", + "cached-property 1.5.2 \n", + "certifi 2021.10.8\n", + "cffi 1.15.0 \n", + "charset-normalizer 2.0.10 \n", + "cycler 0.11.0 \n", + "debugpy 1.5.1 \n", + "decorator 5.1.1 \n", + "defusedxml 0.7.1 \n", + "Deprecated 1.2.13 \n", + "entrypoints 0.3 \n", + "fabio 0.13.0 \n", + "fonttools 4.29.0 \n", + "future 0.18.2 \n", + "h5glance 0.7 \n", + "h5grove 0.0.8 \n", + "h5py 3.5.0 \n", + "hdf5plugin 3.2.0 \n", + "htmlgen 2.0.0 \n", + "idna 3.3 \n", + "importlib-metadata 4.10.1 \n", + "importlib-resources 5.4.0 \n", + "ipykernel 6.7.0 \n", + "ipython 7.31.1 \n", + "ipython-genutils 0.2.0 \n", + "ipywidgets 7.6.5 \n", + "jedi 0.18.1 \n", + "Jinja2 3.0.3 \n", + "json5 0.9.6 \n", + "jsonschema 4.4.0 \n", + "jupyter-client 7.1.2 \n", + "jupyter-core 4.9.1 \n", + "jupyter-server 1.13.4 \n", + "jupyterlab 2.3.0 \n", + "jupyterlab-h5web 0.0.11 \n", + "jupyterlab-pygments 0.1.2 \n", + "jupyterlab-server 1.2.0 \n", + "jupyterlab-widgets 1.0.2 \n", + "kiwisolver 1.3.2 \n", + "lmfit 1.0.3 \n", + "lxml 4.7.1 \n", + "Mako 1.1.6 \n", + "MarkupSafe 2.0.1 \n", + "matplotlib 3.5.1 \n", + "matplotlib-inline 0.1.3 \n", + "mistune 0.8.4 \n", + "nbclient 0.5.10 \n", + "nbconvert 6.4.1 \n", + "nbformat 5.1.3 \n", + "nest-asyncio 1.5.4 \n", + "NeXpy 0.14.1 \n", + "nexusformat 0.7.3 \n", + "nodejs 0.1.1 \n", + "notebook 6.4.8 \n", + "numpy 1.21.5 \n", + "optional-django 0.1.0 \n", + "orjson 3.6.6 \n", + "packaging 21.3 \n", + "pandocfilters 1.5.0 \n", + "parso 0.8.3 \n", + "pexpect 4.8.0 \n", + "pickleshare 0.7.5 \n", + "Pillow 9.0.0 \n", + "pip 20.0.2 \n", + "pkg-resources 0.0.0 \n", + "platformdirs 2.4.1 \n", + "prometheus-client 0.13.0 \n", + "prompt-toolkit 3.0.25 \n", + "ptyprocess 0.7.0 \n", + "punx 0.2.5 \n", + "pycparser 2.21 \n", + "PyGithub 1.55 \n", + "Pygments 2.11.2 \n", + "PyJWT 2.3.0 \n", + "pylatexenc 2.10 \n", + "PyNaCl 1.5.0 \n", + "pyopencl 2021.2.13\n", + "PyOpenGL 3.1.5 \n", + "pyparsing 3.0.7 \n", + "PyQt5 5.15.6 \n", + "PyQt5-Qt5 5.15.2 \n", + "PyQt5-sip 12.9.0 \n", + "pyRestTable 2020.0.3 \n", + "pyrsistent 0.18.1 \n", + "python-dateutil 2.8.2 \n", + "pytools 2021.2.9 \n", + "pyzmq 22.3.0 \n", + "qtconsole 5.2.2 \n", + "QtPy 2.0.0 \n", + "requests 2.27.1 \n", + "scipy 1.7.3 \n", + "Send2Trash 1.8.0 \n", + "setuptools 44.0.0 \n", + "silx 1.0.0 \n", + "six 1.16.0 \n", + "sniffio 1.2.0 \n", + "terminado 0.13.1 \n", + "testpath 0.5.0 \n", + "tornado 6.1 \n", + "traitlets 5.1.1 \n", + "typing-extensions 4.0.1 \n", + "uncertainties 3.1.6 \n", + "urllib3 1.26.8 \n", + "versioneer 0.21 \n", + "wcwidth 0.2.5 \n", + "webencodings 0.5.1 \n", + "websocket-client 1.2.3 \n", + "wheel 0.34.2 \n", + "widgetsnbextension 3.5.2 \n", + "wrapt 1.13.3 \n", + "zipp 3.7.0 \n", + "Collecting pip\n", + " Using cached pip-21.3.1-py3-none-any.whl (1.7 MB)\n", + "Installing collected packages: pip\n", + " Attempting uninstall: pip\n", + " Found existing installation: pip 20.0.2\n", + " Uninstalling pip-20.0.2:\n", + " Successfully uninstalled pip-20.0.2\n", + "Successfully installed pip-21.3.1\n", + "Looking in indexes: https://pypi.org/simple, https://gitlab.mpcdf.mpg.de/api/v4/projects/2187/packages/pypi/simple\n", + "Collecting nomad-lab==1.0.0\n", + " Downloading https://gitlab.mpcdf.mpg.de/api/v4/projects/2187/packages/pypi/files/d6e4ca0230ba10f27423cbbf42e95bc1fcb645ae94fbbc898f7b67c591872023/nomad-lab-1.0.0.tar.gz (1.6 MB)\n", + " |████████████████████████████████| 1.6 MB 1.9 MB/s \n", + "\u001b[?25h Installing build dependencies ... \u001b[?25ldone\n", + "\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n", + "\u001b[?25h Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n", + "\u001b[?25hRequirement already satisfied: wheel in ./test/.py37env/lib/python3.7/site-packages (from nomad-lab==1.0.0) (0.34.2)\n", + "Requirement already satisfied: future==0.18.2 in ./test/.py37env/lib/python3.7/site-packages (from nomad-lab==1.0.0) (0.18.2)\n", + "Collecting pyyaml==6.0\n", + " Using cached PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)\n", + "Collecting cachetools==4.2.4\n", + " Using cached cachetools-4.2.4-py3-none-any.whl (10 kB)\n", + "Collecting 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matplotlib->ase==3.19.0->nomad-lab==1.0.0) (9.0.0)\n", + "Building wheels for collected packages: nomad-lab\n", + " Building wheel for nomad-lab (pyproject.toml) ... \u001b[?25ldone\n", + "\u001b[?25h Created wheel for nomad-lab: filename=nomad_lab-1.0.0-py3-none-any.whl size=1857297 sha256=f9aa2475064d64f35fcbf95ba460155044efaaecb4901ac08ca275373f3406dd\n", + " Stored in directory: /home/cemm/.cache/pip/wheels/53/c9/cc/de44fd4f2ed2fc438c0461402d9516627538d926ad91ed8a89\n", + "Successfully built nomad-lab\n", + "Installing collected packages: pyasn1, rsa, numpy, ecdsa, typish, requests, python-jose, elasticsearch, pyyaml, pytz, python-keycloak, pydantic, Pint, orjson, nptyping, jmespath, fastentrypoints, elasticsearch-dsl, docstring-parser, cython, click, cachetools, ase, aniso8601, nomad-lab\n", + " Attempting uninstall: numpy\n", + " Found existing installation: numpy 1.21.5\n", + " Uninstalling numpy-1.21.5:\n", + " Successfully uninstalled numpy-1.21.5\n", + " Attempting uninstall: requests\n", + " Found existing installation: requests 2.27.1\n", + " Uninstalling requests-2.27.1:\n", + " Successfully uninstalled requests-2.27.1\n", + " Attempting uninstall: orjson\n", + " Found existing installation: orjson 3.6.6\n", + " Uninstalling orjson-3.6.6:\n", + " Successfully uninstalled orjson-3.6.6\n", + "Successfully installed Pint-0.17 aniso8601-7.0.0 ase-3.19.0 cachetools-4.2.4 click-7.1.2 cython-0.29.26 docstring-parser-0.12 ecdsa-0.17.0 elasticsearch-6.8.2 elasticsearch-dsl-6.4.0 fastentrypoints-0.12 jmespath-0.10.0 nomad-lab-1.0.0 nptyping-1.4.4 numpy-1.21.2 orjson-3.6.0 pyasn1-0.4.8 pydantic-1.8.2 python-jose-3.3.0 python-keycloak-0.26.1 pytz-2021.1 pyyaml-6.0 requests-2.26.0 rsa-4.8 typish-1.9.3\n" + ] + } + ], + "source": [ + "! pip list && pip install --upgrade pip && pip install nomad-lab==1.0.0 --extra-index-url https://gitlab.mpcdf.mpg.de/api/v4/projects/2187/packages/pypi/simple" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cloning into 'parser-nexus'...\n", + "remote: Enumerating objects: 1516, done.\u001b[K\n", + "remote: Counting objects: 100% (1516/1516), done.\u001b[K\n", + "remote: Compressing objects: 100% (780/780), done.\u001b[K\n", + "remote: Total 1516 (delta 911), reused 1253 (delta 652), pack-reused 0\u001b[K\n", + "Receiving objects: 100% (1516/1516), 3.24 MiB | 9.27 MiB/s, done.\n", + "Resolving deltas: 100% (911/911), done.\n", + "Submodule 'nexusparser/definitions' (https://github.com/FAIRmat-Experimental/nexus_definitions.git) registered for path 'nexusparser/definitions'\n", + "Cloning into '/home/cemm/NOMAD/parser-nexus/nexusparser/definitions'...\n", + "remote: Enumerating objects: 28146, done. \n", + "remote: Counting objects: 100% (1750/1750), done. \n", + "remote: Compressing objects: 100% (712/712), done. \n", + "remote: Total 28146 (delta 1371), reused 1327 (delta 1021), pack-reused 26396 \n", + "Receiving objects: 100% (28146/28146), 162.77 MiB | 9.10 MiB/s, done.\n", + "Resolving deltas: 100% (20535/20535), done.\n", + "Submodule path 'nexusparser/definitions': checked out '2798f71ea3099c3c20a2f7dc11b05074cc8fa8e3'\n", + "On branch yaml2nxdl\n", + "Your branch is up to date with 'origin/yaml2nxdl'.\n", + "\n", + "nothing to commit, working tree clean\n", + "Requirement already satisfied: click==7.1.2 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from -r requirements.txt (line 1)) (7.1.2)\n", + "Requirement already satisfied: lxml==4.7.1 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (4.7.1)\n", + "Collecting mypy==0.730\n", + " Using cached mypy-0.730-cp37-cp37m-manylinux1_x86_64.whl (22.8 MB)\n", + "Collecting pylint==2.3.1\n", + " Using cached pylint-2.3.1-py3-none-any.whl (765 kB)\n", + "Collecting pylint_plugin_utils==0.5\n", + " Using cached pylint_plugin_utils-0.5-py3-none-any.whl\n", + 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kB)\n", + "Requirement already satisfied: wrapt<1.14,>=1.11 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from astroid<3,>=2.2.0->pylint==2.3.1->-r requirements.txt (line 4)) (1.13.3)\n", + "Requirement already satisfied: zipp>=0.5 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from importlib-metadata->xarray==0.20.2->-r requirements.txt (line 12)) (3.7.0)\n", + "Requirement already satisfied: cycler>=0.10 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from matplotlib->ase==3.19.0->-r requirements.txt (line 17)) (0.11.0)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from matplotlib->ase==3.19.0->-r requirements.txt (line 17)) (4.29.0)\n", + "Requirement already satisfied: pillow>=6.2.0 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from matplotlib->ase==3.19.0->-r requirements.txt (line 17)) (9.0.0)\n", + "Requirement already satisfied: packaging>=20.0 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from matplotlib->ase==3.19.0->-r requirements.txt (line 17)) (21.3)\n", + "Requirement already satisfied: pyparsing>=2.2.1 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from matplotlib->ase==3.19.0->-r requirements.txt (line 17)) (3.0.7)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from matplotlib->ase==3.19.0->-r requirements.txt (line 17)) (1.3.2)\n", + "Building wheels for collected packages: odfpy\n", + " Building wheel for odfpy (setup.py) ... \u001b[?25ldone\n", + "\u001b[?25h Created wheel for odfpy: filename=odfpy-1.4.1-py2.py3-none-any.whl size=160692 sha256=41dfa89fa978a3ae5f0513c823e3cb8117c7d0a479d3273dc3a82f14008c90ea\n", + " Stored in directory: /home/cemm/.cache/pip/wheels/e2/f4/5d/a68c656235d33455a1d0f78e877acddfa006907a6d52d7e6ee\n", + "Successfully built odfpy\n", + "Installing collected packages: typed-ast, lazy-object-proxy, py, pluggy, more-itertools, mccabe, isort, atomicwrites, astroid, pytest, pylint, pandas, mypy-extensions, coverage, xarray, python-json-logger, pytest-timeout, pytest-cov, pylint-plugin-utils, pycodestyle, pyaml, odfpy, mypy, h5py\n", + " Attempting uninstall: h5py\n", + " Found existing installation: h5py 3.5.0\n", + " Uninstalling h5py-3.5.0:\n", + " Successfully uninstalled h5py-3.5.0\n", + "Successfully installed astroid-2.9.3 atomicwrites-1.4.0 coverage-6.3 h5py-3.6.0 isort-4.3.21 lazy-object-proxy-1.7.1 mccabe-0.6.1 more-itertools-8.12.0 mypy-0.730 mypy-extensions-0.4.3 odfpy-1.4.1 pandas-1.3.5 pluggy-1.0.0 py-1.11.0 pyaml-21.10.1 pycodestyle-2.8.0 pylint-2.3.1 pylint-plugin-utils-0.5 pytest-3.10.0 pytest-cov-2.7.1 pytest-timeout-1.4.2 python-json-logger-2.0.2 typed-ast-1.4.3 xarray-0.20.2\n" + ] + } + ], + "source": [ + "! git clone https://github.com/nomad-coe/nomad-parser-nexus.git --branch yaml2nxdl --recursive parser-nexus && cd parser-nexus && git status && pip install -r requirements.txt\n", + "# once yaml2nxdl was merged with master\n", + "# ! git clone https://github.com/nomad-coe/nomad-parser-nexus.git --recursive parser-nexus && cd parser-nexus && git status && pip install -r requirements.txt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! cd parser-nexus && git status && git pull && pip install -r requirements.txt" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Obtaining file:///home/cemm/NOMAD/parser-nexus\n", + " Preparing metadata (setup.py) ... \u001b[?25ldone\n", + "\u001b[33mWARNING: nexusparser 1.0 does not provide the extra 'all'\u001b[0m\n", + "\u001b[?25hRequirement already satisfied: click in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from nexusparser==1.0) (7.1.2)\n", + "Requirement already 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idna<4,>=2.5 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from requests==2.26.0->nomad-lab->nexusparser==1.0) (3.3)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from requests==2.26.0->nomad-lab->nexusparser==1.0) (2021.10.8)\n", + "Requirement already satisfied: rsa in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from python-jose>=1.4.0->python-keycloak==0.26.1->nomad-lab->nexusparser==1.0) (4.8)\n", + "Requirement already satisfied: pyasn1 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from python-jose>=1.4.0->python-keycloak==0.26.1->nomad-lab->nexusparser==1.0) (0.4.8)\n", + "Requirement already satisfied: ecdsa!=0.15 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from python-jose>=1.4.0->python-keycloak==0.26.1->nomad-lab->nexusparser==1.0) (0.17.0)\n", + "Requirement already satisfied: zipp>=0.5 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from importlib-metadata->Pint==0.17->nomad-lab->nexusparser==1.0) (3.7.0)\n", + "Requirement already satisfied: cycler>=0.10 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from matplotlib->ase==3.19.0->nomad-lab->nexusparser==1.0) (0.11.0)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from matplotlib->ase==3.19.0->nomad-lab->nexusparser==1.0) (4.29.0)\n", + "Requirement already satisfied: pillow>=6.2.0 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from matplotlib->ase==3.19.0->nomad-lab->nexusparser==1.0) (9.0.0)\n", + "Requirement already satisfied: pyparsing>=2.2.1 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from matplotlib->ase==3.19.0->nomad-lab->nexusparser==1.0) (3.0.7)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages (from matplotlib->ase==3.19.0->nomad-lab->nexusparser==1.0) (1.3.2)\n", + "Installing collected packages: nexusparser\n", + " Running setup.py develop for nexusparser\n", + "Successfully installed nexusparser-1.0\n", + "grep: nomad-parser-nexus: Is a directory\n", + "ERROR: Pipe to stdout was broken\n", + "Exception ignored in: <_io.TextIOWrapper name='' mode='w' encoding='UTF-8'>\n", + "BrokenPipeError: [Errno 32] Broken pipe\n", + "nexusformat 0.7.3\n", + "nexusparser 1.0 /home/cemm/NOMAD/parser-nexus\n" + ] + } + ], + "source": [ + "! cd parser-nexus && pip install -e .[all]\n", + "! pip list | grep nomad*\n", + "! pip list | grep nexus*" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m============================= test session starts ==============================\u001b[0m\n", + "platform linux -- Python 3.7.12, pytest-3.10.0, py-1.11.0, pluggy-1.0.0 -- /home/cemm/NOMAD/test/.py37env/bin/python\n", + "cachedir: .pytest_cache\n", + "rootdir: /home/cemm/NOMAD/parser-nexus, inifile:\n", + "plugins: timeout-1.4.2, anyio-3.5.0, cov-2.7.1\n", + "collected 56 items \u001b[0m\u001b[1m\n", + "\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.name-nexus_base_classes] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXobject.name-NXobject] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXentry.nx_kind-group] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXentry.defaultAttribute.nx_value.type-str] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXentry.nx_attribute_default-*] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXentry.NXdataGroup-*] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXdetector.real_timeField-*] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXentry.NXdataGroup.nx_optional-True] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXentry.nx_group_DATA.section_def.nx_kind-group] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXentry.nx_group_DATA.section_def.nx_optional-True] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXentry.nx_group_DATA.section_def.nx_name.type-str] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXdetector.real_timeField.name-real_timeField] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXdetector.real_timeField.nx_type-NX_NUMBER] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXdetector.real_timeField.nx_units-NX_TIME] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXdetector.real_timeField.nx_unit-*] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[BASE_CLASSES.NXdetector.real_timeField.nx_value-*] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_assert_nexus_metainfo[APPLICATIONS.NXarpes.NXentryGroup.NXdataGroup.nx_optional-False] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_use_nexus_metainfo \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_use_nexus_metainfo_reflectivly[field] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_use_nexus_metainfo_reflectivly[attribute] \u001b[32mPASSED\u001b[0m\n", + "tests/test_nexus.py::test_get_nexus_classes_units_attributes \u001b[32mPASSED\u001b[0m\n", + "tests/test_parser.py::test_nexus Testing of nexus.py is SUCCESSFUL.\n", + "\u001b[32mPASSED\u001b[0m\n", + "tests/test_parser.py::test_example INFO: Hello NeXus World\n", + "INFO: ===== GROUP (//entry [NXarpes::/NXentry]): \n", + "INFO: /NXentry\n", + "INFO: <>\n", + "INFO: doc\n", + "INFO: ===== ATTRS (//entry@NX_class)\n", + "INFO: value: NXentry \n", + "INFO: /NXentry\n", + "INFO: @NX_class [NX_CHAR]\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/collection_time): \n", + "INFO: value: 7200 \n", + "INFO: /NXentry\n", + "INFO: /collection_time [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.collection_time - 7200\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/collection_time@units)\n", + "INFO: value: s \n", + "INFO: /NXentry\n", + "INFO: /collection_time\n", + "INFO: @units [NX_TIME]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.collection_time.units - s\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== GROUP (//entry/data [NXarpes::/NXentry/NXdata]): \n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: <>\n", + "INFO: doc\n", + "INFO: ===== ATTRS (//entry/data@NX_class)\n", + "INFO: value: NXdata \n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: @NX_class [NX_CHAR]\n", + "INFO: \n", + "INFO: ===== ATTRS (//entry/data@axes)\n", + "INFO: value: ['angles' 'energies' 'delays'] \n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: @axes - [NX_CHAR]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.DATA.axes - ['angles' 'energies' 'delays']\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/data@signal)\n", + "INFO: value: data \n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: @signal - [NX_CHAR]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.DATA.signal - data\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/data/angles): \n", + "INFO: value: [-1.96735314 -1.91500657 -1.86266001 -1.81031344 -1.75796688 -1.70562031 ...\n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: /angles [NX_NUMBER]\n", + "INFO: <>\n", + "INFO: Dataset referenced as NXdata AXIS #0\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.DATA.VARIABLE - [-1.96735314 -1.91500657 -1.86266001 -1.81031344 -1.75796688 -1.70562031...\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/data/angles@target)\n", + "INFO: value: /entry/instrument/analyser/angles \n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: /angles\n", + "INFO: @target - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== ATTRS (//entry/data/angles@units)\n", + "INFO: value: 1/Å \n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: /angles\n", + "INFO: @units - REQUIRED, but undefined unit category\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.DATA.VARIABLE.units - 1/Å\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/data/data): \n", + "INFO: value: [[0. 0. 0. ... 0. 0. 0.] ...\n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: /data [NX_NUMBER]\n", + "INFO: <>\n", + "INFO: Dataset referenced as NXdata SIGNAL\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.DATA.DATA - [[0. 0. 0. ... 0. 0. 0.]...\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/data/data@target)\n", + "INFO: value: /entry/instrument/analyser/data \n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: /data\n", + "INFO: @target - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== ATTRS (//entry/data/data@units)\n", + "INFO: value: counts \n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: /data\n", + "INFO: @units - REQUIRED, but undefined unit category\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.DATA.DATA.units - counts\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/data/delays): \n", + "INFO: value: [-1.1 -1.08041237 -1.06082474 -1.04123711 -1.02164948 -1.00206186 ...\n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: /delays [NX_NUMBER]\n", + "INFO: <>\n", + "INFO: Dataset referenced as NXdata AXIS #2\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.DATA.VARIABLE - [-1.1 -1.08041237 -1.06082474 -1.04123711 -1.02164948 -1.00206186...\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/data/delays@target)\n", + "INFO: value: /entry/instrument/analyser/delays \n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: /delays\n", + "INFO: @target - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== ATTRS (//entry/data/delays@units)\n", + "INFO: value: fs \n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: /delays\n", + "INFO: @units - REQUIRED, but undefined unit category\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.DATA.VARIABLE.units - fs\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/data/energies): \n", + "INFO: value: [ 2.5 2.46917808 2.43835616 2.40753425 2.37671233 2.34589041 ...\n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: /energies [NX_NUMBER]\n", + "INFO: <>\n", + "INFO: Dataset referenced as NXdata AXIS #1\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.DATA.VARIABLE - [ 2.5 2.46917808 2.43835616 2.40753425 2.37671233 2.34589041...\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/data/energies@target)\n", + "INFO: value: /entry/instrument/analyser/energies \n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: /energies\n", + "INFO: @target - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== ATTRS (//entry/data/energies@units)\n", + "INFO: value: eV \n", + "INFO: /NXentry\n", + "INFO: /NXdata\n", + "INFO: /energies\n", + "INFO: @units - REQUIRED, but undefined unit category\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.DATA.VARIABLE.units - eV\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/definition): \n", + "INFO: value: b'NXarpes' \n", + "INFO: /NXentry\n", + "INFO: /definition [NX_CHAR]\n", + "INFO: <>\n", + "INFO: enumeration:\n", + "INFO: -> NXarpes\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.definition - b'NXarpes'\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/duration): \n", + "INFO: value: 7200 \n", + "INFO: /NXentry\n", + "INFO: /duration [NX_INT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.duration - 7200\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/duration@units)\n", + "INFO: value: s \n", + "INFO: /NXentry\n", + "INFO: /duration\n", + "INFO: @units [NX_TIME]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.duration.units - s\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/end_time): \n", + "INFO: value: b'2018-05-01T09:22:00+02:00' \n", + "INFO: /NXentry\n", + "INFO: /end_time [NX_DATE_TIME]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.end_time - b'2018-05-01T09:22:00+02:00'\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/entry_identifier): \n", + "INFO: value: b'Run 22118' \n", + "INFO: /NXentry\n", + "INFO: /entry_identifier [NX_CHAR]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.entry_identifier - b'Run 22118'\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/experiment_identifier): \n", + "INFO: value: b'F-20170538' \n", + "INFO: /NXentry\n", + "INFO: /experiment_identifier [NX_CHAR]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.experiment_identifier - b'F-20170538'\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== GROUP (//entry/instrument [NXarpes::/NXentry/NXinstrument]): \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: <>\n", + "INFO: doc\n", + "INFO: ===== ATTRS (//entry/instrument@NX_class)\n", + "INFO: value: NXinstrument \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: @NX_class [NX_CHAR]\n", + "INFO: \n", + "INFO: ===== GROUP (//entry/instrument/analyser [NXarpes::/NXentry/NXinstrument/NXdetector]): \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: <>\n", + "INFO: doc\n", + "INFO: ===== ATTRS (//entry/instrument/analyser@NX_class)\n", + "INFO: value: NXdetector \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: @NX_class [NX_CHAR]\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/analyser/acquisition_mode): \n", + "INFO: value: b'fixed' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /acquisition_mode [NX_CHAR]\n", + "INFO: <>\n", + "INFO: enumeration:\n", + "INFO: -> gated\n", + "INFO: -> triggered\n", + "INFO: -> summed\n", + "INFO: -> event\n", + "INFO: -> histogrammed\n", + "INFO: -> decimated\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.DETECTOR.acquisition_mode - b'fixed'\n", + "Problem with storage!!!The value fixed is not an enum value for quantity nexus_base_classes.NXdetector.acquisition_modeField.nx_value:Quantity.\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/amplifier_type): \n", + "INFO: value: b'MCP' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /amplifier_type - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/contrast_aperture): \n", + "INFO: value: b'Out' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /contrast_aperture - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/detector_type): \n", + "INFO: value: b'DLD' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /detector_type - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/dispersion_scheme): \n", + "INFO: value: b'Time of flight' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /dispersion_scheme - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/entrance_slit_setting): \n", + "INFO: value: 0 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /entrance_slit_setting - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/entrance_slit_shape): \n", + "INFO: value: b'straight' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /entrance_slit_shape - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/entrance_slit_size): \n", + "INFO: value: 750 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /entrance_slit_size - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/analyser/entrance_slit_size@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /entrance_slit_size - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/analyser/extractor_voltage): \n", + "INFO: value: 6030 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /extractor_voltage - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/analyser/extractor_voltage@units)\n", + "INFO: value: V \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /extractor_voltage - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/analyser/field_aperture_x): \n", + "INFO: value: -0.2 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /field_aperture_x - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/analyser/field_aperture_x@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /field_aperture_x - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/analyser/field_aperture_y): \n", + "INFO: value: 5.35 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /field_aperture_y - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/analyser/field_aperture_y@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /field_aperture_y - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/analyser/lens_mode): \n", + "INFO: value: b'20180430_KPEEM_M_-2.5_FoV6.2_rezAA_20ToF_focused.sav' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /lens_mode - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/magnification): \n", + "INFO: value: -1.5 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /magnification - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/pass_energy): \n", + "INFO: value: 20 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /pass_energy - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/analyser/pass_energy@units)\n", + "INFO: value: eV \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /pass_energy - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/analyser/projection): \n", + "INFO: value: b'reciprocal' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /projection - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/region_origin): \n", + "INFO: value: [0 0] \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /region_origin - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/region_size): \n", + "INFO: value: [ 80 146] \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /region_size - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/sensor_count): \n", + "INFO: value: 4 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /sensor_count - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/sensor_size): \n", + "INFO: value: [ 80 146] \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /sensor_size - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/analyser/time_per_channel): \n", + "INFO: value: 7200 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /time_per_channel - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/analyser/time_per_channel@units)\n", + "INFO: value: s \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /time_per_channel - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/analyser/working_distance): \n", + "INFO: value: 4 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /working_distance - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/analyser/working_distance@units)\n", + "INFO: value: mm \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXdetector\n", + "INFO: /working_distance - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== GROUP (//entry/instrument/beam_probe_0 [NXarpes::/NXentry/NXinstrument/NXbeam]): \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: <>\n", + "INFO: doc\n", + "INFO: ===== ATTRS (//entry/instrument/beam_probe_0@NX_class)\n", + "INFO: value: NXbeam \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: @NX_class [NX_CHAR]\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_probe_0/distance): \n", + "INFO: value: 0 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /distance [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.BEAM.distance - 0\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_probe_0/distance@units)\n", + "INFO: value: cm \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /distance\n", + "INFO: @units [NX_LENGTH]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.BEAM.distance.units - cm\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/beam_probe_0/photon_energy): \n", + "INFO: value: 36.49699020385742 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /photon_energy - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_probe_0/photon_energy@units)\n", + "INFO: value: eV \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /photon_energy - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_probe_0/polarization_angle): \n", + "INFO: value: 0.0 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /polarization_angle - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_probe_0/polarization_angle@units)\n", + "INFO: value: deg \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /polarization_angle - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_probe_0/polarization_ellipticity): \n", + "INFO: value: 0.0 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /polarization_ellipticity - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/beam_probe_0/pulse_duration): \n", + "INFO: value: 70 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /pulse_duration - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_probe_0/pulse_duration@units)\n", + "INFO: value: fs \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /pulse_duration - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_probe_0/size_x): \n", + "INFO: value: 500 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /size_x - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_probe_0/size_x@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /size_x - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_probe_0/size_y): \n", + "INFO: value: 200 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /size_y - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_probe_0/size_y@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /size_y - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== GROUP (//entry/instrument/beam_pump_0 [NXarpes::/NXentry/NXinstrument/NXbeam]): \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: <>\n", + "INFO: doc\n", + "INFO: ===== ATTRS (//entry/instrument/beam_pump_0@NX_class)\n", + "INFO: value: NXbeam \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: @NX_class [NX_CHAR]\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_pump_0/average_power): \n", + "INFO: value: 6.21289 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /average_power - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_pump_0/average_power@units)\n", + "INFO: value: uW \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /average_power - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_pump_0/center_wavelength): \n", + "INFO: value: 800 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /center_wavelength - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_pump_0/center_wavelength@units)\n", + "INFO: value: nm \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /center_wavelength - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_pump_0/distance): \n", + "INFO: value: 0 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /distance [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.BEAM.distance - 0\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_pump_0/distance@units)\n", + "INFO: value: cm \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /distance\n", + "INFO: @units [NX_LENGTH]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.BEAM.distance.units - cm\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/beam_pump_0/fluence): \n", + "INFO: value: 5 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /fluence - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_pump_0/fluence@units)\n", + "INFO: value: mJ/cm^2 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /fluence - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_pump_0/photon_energy): \n", + "INFO: value: 1.55 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /photon_energy - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_pump_0/photon_energy@units)\n", + "INFO: value: eV \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /photon_energy - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_pump_0/polarization_angle): \n", + "INFO: value: nan \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /polarization_angle - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_pump_0/polarization_angle@units)\n", + "INFO: value: deg \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /polarization_angle - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_pump_0/polarization_ellipticity): \n", + "INFO: value: -1.0 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /polarization_ellipticity - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/beam_pump_0/pulse_duration): \n", + "INFO: value: 50 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /pulse_duration - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_pump_0/pulse_duration@units)\n", + "INFO: value: fs \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /pulse_duration - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_pump_0/pulse_energy): \n", + "INFO: value: 1.24258 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /pulse_energy - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_pump_0/pulse_energy@units)\n", + "INFO: value: nJ \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /pulse_energy - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_pump_0/size_x): \n", + "INFO: value: 500 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /size_x - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_pump_0/size_x@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /size_x - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/beam_pump_0/size_y): \n", + "INFO: value: 200 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /size_y - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/beam_pump_0/size_y@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXbeam\n", + "INFO: /size_y - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/energy_resolution): \n", + "INFO: value: 100 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /energy_resolution - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/energy_resolution@units)\n", + "INFO: value: meV \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /energy_resolution - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== GROUP (//entry/instrument/manipulator [NXarpes::/NXentry/NXinstrument/NXpositioner]): \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: <>\n", + "INFO: doc\n", + "INFO: ===== ATTRS (//entry/instrument/manipulator@NX_class)\n", + "INFO: value: NXpositioner \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: @NX_class [NX_CHAR]\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/manipulator/pos_x1): \n", + "INFO: value: 11.3 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /pos_x1 - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/manipulator/pos_x1@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /pos_x1 - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/manipulator/pos_x2): \n", + "INFO: value: 11.3 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /pos_x2 - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/manipulator/pos_x2@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /pos_x2 - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/manipulator/pos_y): \n", + "INFO: value: 7.2 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /pos_y - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/manipulator/pos_y@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /pos_y - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/manipulator/pos_z1): \n", + "INFO: value: 20.77 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /pos_z1 - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/manipulator/pos_z1@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /pos_z1 - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/manipulator/pos_z2): \n", + "INFO: value: 21.2 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /pos_z2 - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/manipulator/pos_z2@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /pos_z2 - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/manipulator/pos_z3): \n", + "INFO: value: 20.22 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /pos_z3 - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/manipulator/pos_z3@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /pos_z3 - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/manipulator/sample_bias): \n", + "INFO: value: 29 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /sample_bias - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/manipulator/sample_bias@target)\n", + "INFO: value: /entry/instrument/manipulator/sample_bias \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /sample_bias - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== ATTRS (//entry/instrument/manipulator/sample_bias@units)\n", + "INFO: value: V \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /sample_bias - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/manipulator/sample_temperature): \n", + "INFO: value: 300 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /sample_temperature - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/manipulator/sample_temperature@target)\n", + "INFO: value: /entry/instrument/manipulator/sample_temperature \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /sample_temperature - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== ATTRS (//entry/instrument/manipulator/sample_temperature@units)\n", + "INFO: value: K \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /sample_temperature - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/manipulator/type): \n", + "INFO: value: b'Hexapod' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXpositioner\n", + "INFO: /type - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== GROUP (//entry/instrument/monochromator [NXarpes::/NXentry/NXinstrument/NXmonochromator]): \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXmonochromator\n", + "INFO: <>\n", + "INFO: doc\n", + "INFO: ===== ATTRS (//entry/instrument/monochromator@NX_class)\n", + "INFO: value: NXmonochromator \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXmonochromator\n", + "INFO: @NX_class [NX_CHAR]\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/monochromator/energy): \n", + "INFO: value: 36.49699020385742 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXmonochromator\n", + "INFO: /energy [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.MONOCHROMATOR.energy - 36.49699020385742\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/monochromator/energy@units)\n", + "INFO: value: eV \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXmonochromator\n", + "INFO: /energy\n", + "INFO: @units [NX_ENERGY]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.MONOCHROMATOR.energy.units - eV\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/monochromator/energy_error): \n", + "INFO: value: 0.21867309510707855 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXmonochromator\n", + "INFO: /energy_error [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: DEPRECATED - see https://github.com/nexusformat/definitions/issues/820\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.MONOCHROMATOR.energy_error - 0.21867309510707855\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/monochromator/energy_error@units)\n", + "INFO: value: eV \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXmonochromator\n", + "INFO: /energy_error\n", + "INFO: @units [NX_ENERGY]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.MONOCHROMATOR.energy_error.units - eV\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== GROUP (//entry/instrument/monochromator/slit [NXarpes::/NXentry/NXinstrument/NXmonochromator/NXslit]): \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXmonochromator\n", + "INFO: /NXslit - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== ATTRS (//entry/instrument/monochromator/slit@NX_class)\n", + "INFO: value: NXslit \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXmonochromator\n", + "INFO: /NXslit - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/monochromator/slit/y_gap): \n", + "INFO: value: 2000.04833984375 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXmonochromator\n", + "INFO: /NXslit - IS NOT IN SCHEMA\n", + "INFO: /y_gap - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/monochromator/slit/y_gap@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXmonochromator\n", + "INFO: /NXslit - IS NOT IN SCHEMA\n", + "INFO: /y_gap - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/name): \n", + "INFO: value: b'HEXTOF @ PG-2, Flash' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /name [NX_CHAR]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.name - b'HEXTOF @ PG-2, Flash'\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== GROUP (//entry/instrument/source [NXarpes::/NXentry/NXinstrument/NXsource]): \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: <>\n", + "INFO: doc\n", + "INFO: ===== ATTRS (//entry/instrument/source@NX_class)\n", + "INFO: value: NXsource \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: @NX_class [NX_CHAR]\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/source/bunch_distance): \n", + "INFO: value: 1 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /bunch_distance [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.bunch_distance - 1\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source/bunch_distance@units)\n", + "INFO: value: us \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /bunch_distance\n", + "INFO: @units [NX_TIME]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.bunch_distance.units - us\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/bunch_length): \n", + "INFO: value: 100 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /bunch_length [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.bunch_length - 100\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source/bunch_length@units)\n", + "INFO: value: fs \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /bunch_length\n", + "INFO: @units [NX_TIME]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.bunch_length.units - fs\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/burst_distance): \n", + "INFO: value: 199.5 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /burst_distance - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source/burst_distance@units)\n", + "INFO: value: ms \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /burst_distance - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/source/burst_length): \n", + "INFO: value: 500 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /burst_length - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source/burst_length@units)\n", + "INFO: value: us \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /burst_length - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/source/burst_number_end): \n", + "INFO: value: 102680129 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /burst_number_end - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/burst_number_start): \n", + "INFO: value: 102644001 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /burst_number_start - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/current): \n", + "INFO: value: 1 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /current [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.current - 1\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source/current@units)\n", + "INFO: value: uA \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /current\n", + "INFO: @units [NX_CURRENT]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.current.units - uA\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/energy): \n", + "INFO: value: 427 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /energy [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.energy - 427\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source/energy@units)\n", + "INFO: value: MeV \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /energy\n", + "INFO: @units [NX_ENERGY]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.energy.units - MeV\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/frequency): \n", + "INFO: value: 10 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /frequency [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.frequency - 10\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source/frequency@units)\n", + "INFO: value: Hz \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /frequency\n", + "INFO: @units [NX_FREQUENCY]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.frequency.units - Hz\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/mode): \n", + "INFO: value: b'Burst' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /mode [NX_CHAR]\n", + "INFO: <>\n", + "INFO: enumeration:\n", + "INFO: -> Single Bunch\n", + "INFO: -> Multi Bunch\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.mode - b'Burst'\n", + "Problem with storage!!!The value Burst is not an enum value for quantity nexus_base_classes.NXsource.modeField.nx_value:Quantity.\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/name): \n", + "INFO: value: b'FLASH' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /name [NX_CHAR]\n", + "INFO: <>\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.name - b'FLASH'\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/number_of_bunches): \n", + "INFO: value: 500 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /number_of_bunches [NX_INT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.number_of_bunches - 500\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/number_of_bursts): \n", + "INFO: value: 1 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /number_of_bursts - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/probe): \n", + "INFO: value: b'x-ray' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /probe [NX_CHAR]\n", + "INFO: <>\n", + "INFO: enumeration:\n", + "INFO: -> x-ray\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.probe - b'x-ray'\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/top_up): \n", + "INFO: value: True \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /top_up [NX_BOOLEAN]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.top_up - True\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source/type): \n", + "INFO: value: b'Free Electron Laser' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /type [NX_CHAR]\n", + "INFO: <>\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.type - b'Free Electron Laser'\n", + "Problem with storage!!!The value Free Electron Laser is not an enum value for quantity nexus_applications.NXarpes.NXentryGroup.NXinstrumentGroup.NXsourceGroup.typeField.nx_value:Quantity.\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== GROUP (//entry/instrument/source_pump [NXarpes::/NXentry/NXinstrument/NXsource]): \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: <>\n", + "INFO: doc\n", + "INFO: ===== ATTRS (//entry/instrument/source_pump@NX_class)\n", + "INFO: value: NXsource \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: @NX_class [NX_CHAR]\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/source_pump/bunch_distance): \n", + "INFO: value: 1 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /bunch_distance [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.bunch_distance - 1\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source_pump/bunch_distance@units)\n", + "INFO: value: us \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /bunch_distance\n", + "INFO: @units [NX_TIME]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.bunch_distance.units - us\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source_pump/bunch_length): \n", + "INFO: value: 50 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /bunch_length [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.bunch_length - 50\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source_pump/bunch_length@units)\n", + "INFO: value: fs \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /bunch_length\n", + "INFO: @units [NX_TIME]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.bunch_length.units - fs\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source_pump/burst_distance): \n", + "INFO: value: 199.6 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /burst_distance - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source_pump/burst_distance@units)\n", + "INFO: value: ms \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /burst_distance - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/source_pump/burst_length): \n", + "INFO: value: 400 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /burst_length - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source_pump/burst_length@units)\n", + "INFO: value: us \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /burst_length - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/source_pump/frequency): \n", + "INFO: value: 10 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /frequency [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.frequency - 10\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source_pump/frequency@units)\n", + "INFO: value: Hz \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /frequency\n", + "INFO: @units [NX_FREQUENCY]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.frequency.units - Hz\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source_pump/mode): \n", + "INFO: value: b'Burst' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /mode [NX_CHAR]\n", + "INFO: <>\n", + "INFO: enumeration:\n", + "INFO: -> Single Bunch\n", + "INFO: -> Multi Bunch\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.mode - b'Burst'\n", + "Problem with storage!!!The value Burst is not an enum value for quantity nexus_base_classes.NXsource.modeField.nx_value:Quantity.\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source_pump/name): \n", + "INFO: value: b'User Laser @ FLASH' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /name [NX_CHAR]\n", + "INFO: <>\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.name - b'User Laser @ FLASH'\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source_pump/number_of_bunches): \n", + "INFO: value: 400 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /number_of_bunches [NX_INT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.number_of_bunches - 400\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source_pump/number_of_bursts): \n", + "INFO: value: 1 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /number_of_bursts - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source_pump/probe): \n", + "INFO: value: b'NIR' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /probe [NX_CHAR]\n", + "INFO: <>\n", + "INFO: enumeration:\n", + "INFO: -> x-ray\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.probe - b'NIR'\n", + "Problem with storage!!!The value NIR is not an enum value for quantity nexus_applications.NXarpes.NXentryGroup.NXinstrumentGroup.NXsourceGroup.probeField.nx_value:Quantity.\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/source_pump/rms_jitter): \n", + "INFO: value: 204.68816194453154 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /rms_jitter - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/source_pump/rms_jitter@units)\n", + "INFO: value: fs \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /rms_jitter - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/source_pump/type): \n", + "INFO: value: b'OPCPA' \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /NXsource\n", + "INFO: /type [NX_CHAR]\n", + "INFO: <>\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.INSTRUMENT.SOURCE.type - b'OPCPA'\n", + "Problem with storage!!!The value OPCPA is not an enum value for quantity nexus_applications.NXarpes.NXentryGroup.NXinstrumentGroup.NXsourceGroup.typeField.nx_value:Quantity.\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/instrument/spatial_resolution): \n", + "INFO: value: 500 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /spatial_resolution - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/spatial_resolution@units)\n", + "INFO: value: um \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /spatial_resolution - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/instrument/temporal_resolution): \n", + "INFO: value: 100 \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /temporal_resolution - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/instrument/temporal_resolution@units)\n", + "INFO: value: fs \n", + "INFO: /NXentry\n", + "INFO: /NXinstrument\n", + "INFO: /temporal_resolution - IS NOT IN SCHEMA\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/run_cycle): \n", + "INFO: value: b'2018 User Run Block 2' \n", + "INFO: /NXentry\n", + "INFO: /run_cycle [NX_CHAR]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.run_cycle - b'2018 User Run Block 2'\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== GROUP (//entry/sample [NXarpes::/NXentry/NXsample]): \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: <>\n", + "INFO: doc\n", + "INFO: ===== ATTRS (//entry/sample@NX_class)\n", + "INFO: value: NXsample \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: @NX_class [NX_CHAR]\n", + "INFO: \n", + "INFO: ===== FIELD (//entry/sample/chem_id_cas): \n", + "INFO: value: b'12067-46-8' \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /chem_id_cas - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/sample/chemical_name): \n", + "INFO: value: b'Tungsten diselenide' \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /chemical_name - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/sample/growth_method): \n", + "INFO: value: b'Chemical Vapor Deposition' \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /growth_method - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/sample/layer): \n", + "INFO: value: b'bulk' \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /layer - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/sample/name): \n", + "INFO: value: b'WSe2' \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /name [NX_CHAR]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.SAMPLE.name - b'WSe2'\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/sample/preparation_method): \n", + "INFO: value: b'in-vacuum cleave' \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /preparation_method - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/sample/pressure): \n", + "INFO: value: 3.27e-10 \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /pressure [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.SAMPLE.pressure - 3.27e-10\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/sample/pressure@units)\n", + "INFO: value: mbar \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /pressure\n", + "INFO: @units [NX_PRESSURE]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.SAMPLE.pressure.units - mbar\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/sample/purity): \n", + "INFO: value: 0.999 \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /purity - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/sample/state): \n", + "INFO: value: b'monocrystalline solid' \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /state - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/sample/surface_orientation): \n", + "INFO: value: b'0001' \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /surface_orientation - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/sample/thickness): \n", + "INFO: value: 0.5 \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /thickness [NX_FLOAT]\n", + "INFO: <>\n", + "INFO: doc\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.SAMPLE.thickness - 0.5\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== ATTRS (//entry/sample/thickness@units)\n", + "INFO: value: mm \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /thickness\n", + "INFO: @units [NX_LENGTH]\n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.SAMPLE.thickness.units - mm\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/sample/vendor): \n", + "INFO: value: b'HQ Graphene' \n", + "INFO: /NXentry\n", + "INFO: /NXsample\n", + "INFO: /vendor - IS NOT IN SCHEMA\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NOT IN SCHEMA - skipped\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/start_time): \n", + "INFO: value: b'2018-05-01T07:22:00+02:00' \n", + "INFO: /NXentry\n", + "INFO: /start_time [NX_DATE_TIME]\n", + "INFO: <>\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.start_time - b'2018-05-01T07:22:00+02:00'\n", + "%%%%%%%%%%%%%%\n", + "INFO: ===== FIELD (//entry/title): \n", + "INFO: value: b'Excited-state dynamics of WSe2 in the Valence Band and Core-Levels' \n", + "INFO: /NXentry\n", + "INFO: /title [NX_CHAR]\n", + "INFO: <>\n", + "INFO: \n", + "%%%%%%%%%%%%%%\n", + "NXarpes:NXarpes.ENTRY.title - b'Excited-state dynamics of WSe2 in the Valence Band and Core-Levels'\n", + "%%%%%%%%%%%%%%\n", + "INFO: ========================\n", + "INFO: === Default Plotable ===\n", + "INFO: ========================\n", + "INFO: No NXentry has been found\n", + "\u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_convert.py::test_get_reader \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_convert.py::test_get_names_of_all_readers \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_convert.py::test_cli[generate-template] {\n", + " \"/ENTRY[entry]/NXODD_name/bool_value\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/char_value\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/date_value\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/float_value\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/float_value/@units\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/int_value\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/int_value/@units\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/posint_value\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/posint_value/@units\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/type\": \"None\",\n", + " \"/ENTRY[entry]/definition\": \"None\",\n", + " \"/ENTRY[entry]/definition/@version\": \"None\",\n", + " \"/ENTRY[entry]/optional_parent/optional_child\": \"None\",\n", + " \"/ENTRY[entry]/optional_parent/required_child\": \"None\",\n", + " \"/ENTRY[entry]/program_name\": \"None\"\n", + "}\n", + "INFO: {\n", + " \"/ENTRY[entry]/NXODD_name/bool_value\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/char_value\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/date_value\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/float_value\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/float_value/@units\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/int_value\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/int_value/@units\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/posint_value\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/posint_value/@units\": \"None\",\n", + " \"/ENTRY[entry]/NXODD_name/type\": \"None\",\n", + " \"/ENTRY[entry]/definition\": \"None\",\n", + " \"/ENTRY[entry]/definition/@version\": \"None\",\n", + " \"/ENTRY[entry]/optional_parent/optional_child\": \"None\",\n", + " \"/ENTRY[entry]/optional_parent/required_child\": \"None\",\n", + " \"/ENTRY[entry]/program_name\": \"None\"\n", + "}\n", + "\u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_convert.py::test_cli[nxdl-not-provided] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_convert.py::test_cli[input-file] Using example reader to convert the given files: \n", + "• test_input \n", + "INFO: Using example reader to convert the given files: \n", + "• test_input \n", + "\u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[string-instead-of-int] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[string-instead-of-bool] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[negative-posint] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[int-instead-of-chars] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[empty-optional-field] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[empty-required-field] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[UTC-with-+00:00] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[UTC-with-Z] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[UTC-with--00:00] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[lists] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[wrong-enum-choice] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[atleast-one-required-child-not-provided-optional-parent] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[no-child-provided-optional-parent] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_validate_data_dict[valid-data-dict] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_path_in_data_dict[path-exists-in-dict] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_helpers.py::test_path_in_data_dict[path-does-not-exist-in-dict] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_readers.py::test_if_readers_are_children_of_base_reader[ExampleReader] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_readers.py::test_if_readers_are_children_of_base_reader[ApmReader] \u001b[33mSKIPPED\u001b[0m\n", + "tests/tools/dataconverter/test_readers.py::test_if_readers_are_children_of_base_reader[EmNionReader] \u001b[33mSKIPPED\u001b[0m\n", + "tests/tools/dataconverter/test_readers.py::test_if_readers_are_children_of_base_reader[EllipsometryReader] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_readers.py::test_if_readers_are_children_of_base_reader[MPESReader] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_readers.py::test_has_correct_read_func[ExampleReader] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_readers.py::test_has_correct_read_func[ApmReader] \u001b[33mSKIPPED\u001b[0m\n", + "tests/tools/dataconverter/test_readers.py::test_has_correct_read_func[EmNionReader] \u001b[33mSKIPPED\u001b[0m\n", + "tests/tools/dataconverter/test_readers.py::test_has_correct_read_func[EllipsometryReader] \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_readers.py::test_has_correct_read_func[MPESReader] The xarray doesn't contain entry corresponding to the path /ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/extractor_current\n", + "The xarray doesn't contain entry corresponding to the path /ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/DETECTOR[detector]/detector_voltage\n", + "The xarray doesn't contain entry corresponding to the path /ENTRY[entry]/SAMPLE[sample]/bias\n", + "The xarray doesn't contain entry corresponding to the path /ENTRY[entry]/PROCESS[process]/calculated_energy\n", + "The xarray doesn't contain entry corresponding to the path /ENTRY[entry]/DATA[data]/@energy_indices\n", + "The xarray doesn't contain entry corresponding to the path /ENTRY[entry]/DATA[data]/energy\n", + "\u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_writer.py::test_init \u001b[32mPASSED\u001b[0m\n", + "tests/tools/dataconverter/test_writer.py::test_write DEBUG: Creating converter from 5 to 3\n", + "\u001b[32mPASSED\u001b[0m\n", + "\n", + "\u001b[33m=============================== warnings summary ===============================\u001b[0m\n", + "nexusparser/metainfo/nexus.py:57\n", + " /home/cemm/NOMAD/parser-nexus/nexusparser/metainfo/nexus.py:57: DeprecationWarning: Converting `np.inexact` or `np.floating` to a dtype is deprecated. The current result is `float64` which is not strictly correct.\n", + " 'NX_NUMBER': np.dtype(np.number),\n", + "\n", + "tests/test_parser.py::test_example\n", + " /home/cemm/NOMAD/test/.py37env/lib/python3.7/site-packages/_pytest/python.py:166: RemovedInPytest4Warning: Fixture \"parser\" called directly. Fixtures are not meant to be called directly, are created automatically when test functions request them as parameters. See https://docs.pytest.org/en/latest/fixture.html for more information.\n", + " testfunction(**testargs)\n", + "\n", + "-- Docs: https://docs.pytest.org/en/latest/warnings.html\n", + "\u001b[33m\u001b[1m=============== 52 passed, 4 skipped, 2 warnings in 9.54 seconds ===============\u001b[0m\n" + ] + } + ], + "source": [ + "# in the above cells clear redundant commands based on todays history\n", + "! cd parser-nexus && pytest -sv tests" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "### Step 1: Download example data (for YOURMETHOD)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "### Step 2: Run your \\<\\\\>-specific dataconverter/readers/\\<\\\\> on your \\<\\\\>" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using ellips reader to convert the given files: \n", + "• tests/data/tools/dataconverter/readers/ellips/test.yaml \n", + "The output file generated: tests/data/tools/dataconverter/readers/ellips/ellips.test.nxs\n" + ] + } + ], + "source": [ + "! cd ../../../../../../ && python nexusparser/tools/dataconverter/convert.py --reader ellips --nxdl nexusparser/definitions/applications/NXellipsometry.nxdl.xml --input-file tests/data/tools/dataconverter/readers/ellips/test.yaml --output tests/data/tools/dataconverter/readers/ellips/ellips.test.nxs" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "**The key take home message is that the above-specified command triggers the automatic creation of the HDF5 file. This *.nxs file, is an HDF5 file." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 3: Inspect the HDF5/NeXus file apm.test.nxs using H5Web" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "config dir: /home/sandor/miniconda3/envs/test2/etc/jupyter\n", + " jupyterlab_h5web \u001b[32m enabled \u001b[0m\n", + " - Validating...\n", + " jupyterlab_h5web \u001b[32mOK\u001b[0m\n", + " jupyterlab \u001b[32m enabled \u001b[0m\n", + " - Validating...\n", + " jupyterlab 2.3.0 \u001b[32mOK\u001b[0m\n", + "JupyterLab v2.3.0\n", + "Known labextensions:\n", + " app dir: /home/sandor/miniconda3/envs/test2/share/jupyter/lab\n", + " jupyterlab-h5web v0.0.11 \u001b[32m enabled \u001b[0m \u001b[32mOK\u001b[0m\n" + ] + } + ], + "source": [ + "! jupyter serverextension list\n", + "! jupyter labextension list" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "from jupyterlab_h5web import H5Web" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# h5_file_name = 'PARAPROBE.Nanochem.Config.SimID.1.h5'\n", + "# h5_file_name = 'apm.test.nxs'\n", + "h5_file_name = 'ellips.test.nxs'\n", + "# h5_file_name = '../../../../../../tests/data/nexus_test_data/201805_WSe2_arpes.nxs'" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "application/x-hdf5": "/home/sandor/test2/parser-nexus/tests/data/tools/dataconverter/readers/ellips/ellips.test.nxs", + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H5Web(h5_file_name)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here is where the general template ends. Continue to fill the notebook based on
\n", + "**your own** post-processing of the *.nxs file, taking e.g. inspiration from
\n", + "sprints 2 and 3 in the nomad-remote-tools-hub mpcdf git repo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Congratulations. **Given that all NORTH tools have mounted your current directory, you can now inspect this HDF5 file.**
\n", + "**The clue is you can now use the data processing tools from NORTH for analysing apm.test.nxs further.**
\n", + "Again, these analysis tools come shipped with nomad so there is no need to install them locally.
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 9: Extract for instance data inside apm.test.nxs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To compute a mass-to-charge histogram and explore eventual ranging definitions that have also been carried over in the conversion step (step 6)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "#plt.rcParams['figure.figsize'] = [12, 8]\n", + "#plt.rcParams['figure.dpi'] = 300\n", + "import h5py as h5\n", + "#needs shutils for decompressing zip archives, which is a default module/package in Python since >=v3.6" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Zenodo download processed and decompressed, check if required file is in local working directory." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "MYDATASET = 'PARAPROBE.Transcoder.Results.SimID.8.h5'\n", + "#later load a dataset from local nomadOASIS data repository (shadow) folder.\n", + "! ls $MYDATASET" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example 1, read data from an HDF5 file inside nomadOASIS, process data, and visualize these" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#interact with h5py to load numerical data\n", + "hf = h5.File( MYDATASET, 'r' )\n", + "mq = hf['ReconstructionID8/Data/MassToChargeRatio'][:]\n", + "print('Mass-to-charge-state-ratio array loaded')\n", + "[mqmin, mqmax] = [0., np.max(mq)]\n", + "print('Dataset ranging from ['+str(mqmin)+', '+str(mqmax)+'] Da.')\n", + "\n", + "mqincr = 0.01 #Da\n", + "print('Using a mass-to-charge-state ratio resolution of '+str(mqincr)+' Da.')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#transform collection of mass-to-charge-state ratios into a histogram\n", + "hst1d = np.unique(np.uint64(np.floor((mq[np.logical_and(mq >= mqmin, mq <= mqmax)]-mqmin)/mqincr)), return_counts=True)\n", + "nbins = np.uint64((mqmax - mqmin)/mqincr + 1)\n", + "print('Histogram has '+str(nbins)+' bins.')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#use matplotlib and numpy to plot histogram data \n", + "xy = np.zeros([nbins,2], np.float64)\n", + "xy[:,0] = np.linspace(mqmin+mqincr, mqmax+mqincr, nbins, endpoint=True)\n", + "xy[:,1] = 0.5 #*np.ones([nbins],np.float64) #0.5 to be able to plot logarithm you can not measure half an atom\n", + "for i in np.arange(0,len(hst1d[0])):\n", + " binidx = hst1d[0][i]\n", + " xy[binidx,1] = hst1d[1][i]\n", + "print('Mass-to-charge-state histogram created.')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "[xmi, xmx, ymi, ymx] = [mqmin, mqmax, 0.5, 10**np.ceil(np.log10(np.max(xy[:,1])))]\n", + "fig, ( (myplot) ) = plt.subplots(1, 1)\n", + "myplot.plot( xy[:,0], xy[:,1], color='blue', alpha=0.5, linewidth=1.0 )\n", + "plt.legend( [r'Mass-to-charge-state ratio $\\Delta\\frac{m}{q} = $'+str(mqincr)+' Da'], loc='upper right')\n", + "plt.xlabel(r'Mass-to-charge-state-ratio (Da)')\n", + "plt.ylabel(r'Counts')\n", + "#plt.ylabel(r'$log_{10}$ Counts')\n", + "#xy.vlines([xmx], 0, 1, transform=xy.get_xaxis_transform(), colors=MYPARULA[2], linestyles='dotted') #'solid') #'dotted')\n", + "#plt.xticks([1, 2, 3, 4, 5, 6, 7, 8, 9], ['Min', '0.0025', '0.025', '0.25', '0.50', '0.75', '0.975', '0.9975', 'Max'])\n", + "plt.yscale('log')\n", + "print('Mass-to-charge-state histogram visualized.')\n", + "#scale bar with add margin to the bottom and top of the yaxis to avoid that lines fall on x axis\n", + "\n", + "#polishing the margins\n", + "margin=0.01\n", + "plt.xlim([-margin*(xmx-xmi)+xmi, +margin*(xmx-xmi)+xmx])\n", + "plt.ylim([ymi, +margin*(ymx-ymi)+ymx])\n", + "#plot the figure\n", + "#figfn = MYDATASET+'.MassToChargeStateRatios.png'\n", + "#fig.savefig( figfn, dpi=300, facecolor='w', edgecolor='w', orientation='landscape', format='png', \n", + "# transparent=False, bbox_inches='tight', pad_inches=0.1, metadata=None)\n", + "#plt.close('all')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "### Example 2, store files created inside jupyter session, where do these end up ?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#plot the figure\n", + "figfn = MYDATASET+'.MassToChargeStateRatios.png'\n", + "fig.savefig( figfn, dpi=300, facecolor='w', edgecolor='w', orientation='landscape', format='png', \n", + " transparent=False, bbox_inches='tight', pad_inches=0.1, metadata=None)\n", + "#plt.close('all')\n", + "print(figfn+' stored to disk.')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "! ls" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "### Example 2, get a periodic table of the elements" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "### Example 3, interactive plotting (bokeh, ipywidgets?)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "### Example 4, use nomad API to create an archive\n", + "#https://towardsdatascience.com/how-to-produce-interactive-matplotlib-plots-in-jupyter-environment-1e4329d71651" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#small utility tool to download Zenodo repositories with many files #here is a sconsider maybe to use https://zenodo.org/record/1261813#.YW51TXuxXjA" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tests/data/tools/dataconverter/readers/ellips/test-data.dat b/tests/data/tools/dataconverter/readers/ellips/test-data.dat new file mode 100644 index 000000000..211871453 --- /dev/null +++ b/tests/data/tools/dataconverter/readers/ellips/test-data.dat @@ -0,0 +1,9795 @@ +2nm SiO2 on Si on RC2 +VASEmethod[EllipsometerType=4 , CompleteEASE=6.37, AcqTime=15.000, ZoneAve=1, Acq. 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70.000000 -0.217532 0.147289 +dPolE 16925.000000 70.000000 -0.622895 0.173056 +dPolE 16950.000000 70.000000 -0.393209 0.199934 +dPolE 16975.000000 70.000000 -0.096587 0.228777 +dPolE 17000.000000 70.000000 0.152324 0.260383 \ No newline at end of file diff --git a/tests/data/tools/dataconverter/readers/ellips/test.yaml b/tests/data/tools/dataconverter/readers/ellips/test.yaml new file mode 100644 index 000000000..e58c91b9c --- /dev/null +++ b/tests/data/tools/dataconverter/readers/ellips/test.yaml @@ -0,0 +1,56 @@ +#filename: 2020-09-11-InS-2020-07-06-D5.dat +filename: tests/data/tools/dataconverter/readers/ellips/test-data.dat +skip: 3 +sep: "\t" + +# if the file has a block structure, +# which column has the block index? +blocks: + - type + - angle_of_incidence + +colnames: + - type + - wavelength + - angle_of_incidence + - psi + - delta + - err.psi + - err.delta +x-var: wavelength +y-var: + - psi + - delta +err-var: + - err.psi + - err.delta +parameters: + - type + - angle +experiment_description: V-VASE scan on SiO2 on Si in air. +experiment_identifier: exp-ID +detector_type: photodiode +integration_time: 2 s +rotating_element: analyzer +angle_of_incidence: 70 degrees +data_type: psi / delta +ellipsometry_type: rotating analyzer +focussing_probes: false +light_source: xenon arc lamp +model: V-VASE +sample_history: Sample history +address: Unter den Linden +affiliation: HU Berlin +email: name@hu-berlin.de +name: me +software: WVASE +program_version: "3.5" +atom_types: Si, O +data_identifier: 0 +layer_structure: SiO2 on Si +measured_data: 1 +medium: air +sample_name: SiO2 on Si +start_time: "2022-01-22T12:14:12.05018+00:00" +definition: "" +angular_spread: "0.2 sr" \ No newline at end of file diff --git a/tests/data/tools/dataconverter/readers/em/Em.NeXus.Em.Example.1.ipynb b/tests/data/tools/dataconverter/readers/em/Em.NeXus.Em.Example.1.ipynb new file mode 100644 index 000000000..6578fe096 --- /dev/null +++ b/tests/data/tools/dataconverter/readers/em/Em.NeXus.Em.Example.1.ipynb @@ -0,0 +1,354 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## nomad-parser-nexus demo" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sprint5, EM" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step -1: Set up dependencies for jupyterlab_h5web" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Instructions how to set up all dependencies to start a new virtualenv with a jupyterlab installation.

" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# start with a fresh virtualenv\n", + "# ! pip install virtualenv\n", + "# ! virtualenv --python=python3.7 .py37env\n", + "# ! source .py37env/bin/activate\n", + "\n", + "# install jupyter, jupyter-lab and web extensions\n", + "\n", + "#inside SPRINT5-JUPYTER-TEST-02, conda, python 3.7, jupyter, jupyterlab" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! pip install --upgrade nodejs && pip install ipywidgets h5py==3.5.0 h5glance==0.7 h5grove==0.0.8 jupyterlab[full]==2.3.0 jupyterlab_h5web[full]==0.0.11 punx==0.2.5 nexpy==0.14.1 silx[full] && jupyter lab build" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! jupyter nbextension enable --py widgetsnbextension" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! jupyter serverextension enable jupyterlab_h5web" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Restart the Jupyter kernel, or easier start the following code after you have setup these environment steps.

" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 0: Installating and testing nomad-parser-nexus module" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "! pip list && pip install --upgrade pip && pip install nomad-lab==1.0.0 --extra-index-url https://gitlab.mpcdf.mpg.de/api/v4/projects/2187/packages/pypi/simple" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "! git clone https://github.com/nomad-coe/nomad-parser-nexus.git --branch yaml2nxdl --recursive parser-nexus && cd parser-nexus && git status && pip install -r requirements.txt\n", + "# once yaml2nxdl was merged with master\n", + "# ! git clone https://github.com/nomad-coe/nomad-parser-nexus.git --recursive parser-nexus && cd parser-nexus && git status && pip install -r requirements.txt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ! cd parser-nexus && git status && git pull && pip install -r requirements.txt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "! cd parser-nexus && pip install -e .[all]\n", + "! pip list | grep nomad*\n", + "! pip list | grep nexus*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# in the above cells clear redundant commands based on todays history\n", + "! cd parser-nexus && pytest -sv tests" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "### Step 1: Download example data (for EM)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 498k 100 498k 0 0 361k 0 0:00:01 0:00:01 --:--:-- 361k\n" + ] + } + ], + "source": [ + "# showing here the example for APM, http://dx.doi.org/10.5281/zenodo.5911409\n", + "import shutil\n", + "! curl --output EM.STEM.Nion.Datasets.3.zip https://zenodo.org/record/5911409/files/EM.STEM.Nion.Datasets.3.zip\n", + "shutil.unpack_archive('EM.STEM.Nion.Datasets.3.zip')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "### Step 2: Run your \\<\\\\>-specific dataconverter/readers/\\<\\\\> on your \\<\\\\>" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using em_nion reader to convert the given files: \n", + "• HAADF_01.npy\n", + "• HAADF_01.ELabFTW.dat\n", + "• HAADF_01.json \n", + "Add metadata which come from other sources...\n", + "Extracting data from NionSwift JSON file: HAADF_01.json\n", + "Loading: NionSwiftJsonToNexusTranslationTable.ods from...\n", + "/home/mkuehbach/SPRINT5-JUPYTER-TEST-03/readers/em_nion/utils/\n", + "Add metadata/data from numpy array(s) representing scans...\n", + "Extracting data from NionSwift NPY file: HAADF_01.npy\n", + "Add metadata from e.g.ELN/LIMS dump JSON files...\n", + "Extracting data from ELN/LIMS/others JSON file: HAADF_01.ELabFTW.dat\n", + "The output file generated: em3.test.nxs\n" + ] + } + ], + "source": [ + "#parser-nexus/tests/data/tools/dataconverter/readers/em/\n", + "! python parser-nexus/nexusparser/tools/dataconverter/convert.py --reader em_nion --nxdl parser-nexus/nexusparser/definitions/applications/NXem_nion.nxdl.xml \\\n", + "--input-file HAADF_01.npy \\\n", + "--input-file HAADF_01.ELabFTW.dat \\\n", + "--input-file HAADF_01.json --output em3.test.nxs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**The key take home message is that the above-specified command triggers the automatic creation of the HDF5 file.** This *.nxs file, is an HDF5 file." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 3: Inspect the HDF5/NeXus file em3.test.nxs using H5Web" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "config dir: /home/mkuehbach/.jupyter\n", + " jupyterlab_h5web \u001b[32m enabled \u001b[0m\n", + " - Validating...\n", + " jupyterlab_h5web \u001b[32mOK\u001b[0m\n", + "config dir: /home/mkuehbach/SPRINT5-JUPYTER-TEST-03/.pyenv/etc/jupyter\n", + " jupyterlab_h5web \u001b[32m enabled \u001b[0m\n", + " - Validating...\n", + " jupyterlab_h5web \u001b[32mOK\u001b[0m\n", + " jupyterlab \u001b[32m enabled \u001b[0m\n", + " - Validating...\n", + " jupyterlab 2.3.0 \u001b[32mOK\u001b[0m\n", + "JupyterLab v2.3.0\n", + "Known labextensions:\n", + " app dir: /home/mkuehbach/SPRINT5-JUPYTER-TEST-03/.pyenv/share/jupyter/lab\n", + " jupyterlab-h5web v0.0.11 \u001b[32m enabled \u001b[0m \u001b[32mOK\u001b[0m\n" + ] + } + ], + "source": [ + "! jupyter serverextension list\n", + "! jupyter labextension list" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "from jupyterlab_h5web import H5Web" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# h5_file_name = 'parser-nexus/tests/data/nexus_test_data/201805_WSe2_arpes.nxs'\n", + "h5_file_name = 'em3.test.nxs'" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "application/x-hdf5": "/home/mkuehbach/SPRINT5-JUPYTER-TEST-03/em3.test.nxs", + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "H5Web(h5_file_name)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here is where the general template ends. Continue to fill the notebook based on
\n", + "**your own** post-processing of the *.nxs file, taking e.g. inspiration from
\n", + "sprints 2 and 3 in the nomad-remote-tools-hub mpcdf git repo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Congratulations. **Given that all NORTH tools have mounted your current directory, you can now inspect this HDF5 file.**
\n", + "**The clue is you can now use the data processing tools from NORTH for analysing apm.test.nxs further.**
\n", + "Again, these analysis tools come shipped with nomad so there is no need to install them locally.
" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tests/data/tools/dataconverter/readers/example/testdata.json b/tests/data/tools/dataconverter/readers/example/testdata.json new file mode 100644 index 000000000..6295404b7 --- /dev/null +++ b/tests/data/tools/dataconverter/readers/example/testdata.json @@ -0,0 +1,17 @@ +{ + "bool_value": true, + "char_value": "A random string!", + "float_value": 0.1, + "float_value_units": "Units are always strings.", + "int_value": -3, + "int_value_units": "m/s^2", + "posint_value": 7, + "posint_value_units": "V", + "definition": "NXtest", + "definition_version": "0.0.1", + "program_name": "Nexus Parser", + "type": "2nd type", + "date_value": "2022-01-22T12:14:12.05018+00:00", + "required_child": 1, + "optional_child": 1 +} \ No newline at end of file diff --git a/tests/data/tools/dataconverter/readers/mpes/config_file.json b/tests/data/tools/dataconverter/readers/mpes/config_file.json new file mode 100755 index 000000000..ba9450286 --- /dev/null +++ b/tests/data/tools/dataconverter/readers/mpes/config_file.json @@ -0,0 +1,155 @@ +{ + "/ENTRY[entry]/definition": "NXmpes", + "/ENTRY[entry]/definition/@version": "None", + "/ENTRY[entry]/title": "@attrs:metadata/entry_title", + "/ENTRY[entry]/@entry": "entry", + "/ENTRY[entry]/start_time": "@attrs:metadata/timing/acquisition_start", + "/ENTRY[entry]/experiment_institution": "Fritz Haber Institute - Max Planck Society", + "/ENTRY[entry]/experiment_facility": "Time Resolved ARPES", + "/ENTRY[entry]/experiment_laboratory": "Clean Room 4", + "/ENTRY[entry]/entry_identifier": "@attrs:metadata/entry_identifier", + "/ENTRY[entry]/entry_start_time": "@attrs:metadata/timing/acquisition_start", + "/ENTRY[entry]/entry_start_time_timestamp": "@attrs:metadata/timing/acquisition_start_ts", + "/ENTRY[entry]/entry_end_time": "@attrs:metadata/timing/acquisition_stop", + "/ENTRY[entry]/entry_start_time_timestamp": "@attrs:metadata/timing/acquisition_stop_ts", + "/ENTRY[entry]/entry_duration": "@attrs:metadata/timing/acquisition_duration", + "/ENTRY[entry]/entry_duration/@units": "s", + "/ENTRY[entry]/entry_collection_time": "@attrs:metadata/timing/acquisition_duration", + "/ENTRY[entry]/entry_collection_time/@units": "s", + + "/ENTRY[entry]/USER[user]/name": "@attrs:metadata/user0/name", + "/ENTRY[entry]/USER[user]/role": "@attrs:metadata/user0/name", + "/ENTRY[entry]/USER[user]/affiliation": "@attrs:metadata/user0/name", + "/ENTRY[entry]/USER[user]/address": "@attrs:metadata/user0/name", + "/ENTRY[entry]/USER[user]/email": "@attrs:metadata/user0/name", + + "/ENTRY[entry]/INSTRUMENT[instrument]/instrument_name": "TR-ARPES @ FHI", + "/ENTRY[entry]/INSTRUMENT[instrument]/instrument_description": "Time-of-flight momentum microscope equipped delay line detector, at the endstation of the high rep-rate HHG source at FHI", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/momentum_resolution": "@attrs:metadata/instrument/analyzer/momentum_resolution", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/momentum_resolution/@units": "1/A", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/description": "SPECS Metis 1000 Momentum Microscope", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/energy_resolution": 0.14, + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/energy_resolution/@units": "ev", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/fast_axes": ["kx","ky","E"], + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/slow_axes": "@attrs:metadata/instrument/analyzer/slow_axes", + + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/projection": "@attrs:metadata/instrument/analyzer/projection", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/scheme": "Momentum Microscope", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/mode": "@attrs:metadata/instrument/analyzer/lens_mode", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/extractor_voltage": "@attrs:metadata/file/KTOF:Lens:Extr:VSet", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/extractor_voltage/@units": "V", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/extractor_current": "@attrs:metadata/file/KTOF:Lens:Extr:I", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/extractor_current/@units": "A", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/working_distance": "@attrs:metadata/instrument/analyzer/working_distance", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/working_distance/@units": "mm", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/lens_names": "@attrs:metadata/instrument/analyzer/lens_voltages", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/lens_voltages": "@attrs:metadata/instrument/analyzer/lens_voltages", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/lens_voltages/@units": "V", + + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/field_aperture/shape": "circle", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/field_aperture/size": "@attrs:metadata/instrument/analyzer/fa_size", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/field_aperture/size/@units": "µm", + + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/contrast_aperture/shape": "circle", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/contrast_aperture/size": "@attrs:metadata/instrument/analyzer/ca_size", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/COLLECTIONCOLUMN[collectioncolumn]/contrast_aperture/size/@units": "µm", + + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/ENERGYDISPERSION[energydispersion]/energy_scan_mode": "fixed", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/ENERGYDISPERSION[energydispersion]/pass_energy": "@attrs:metadata/file/KTOF:Lens:TOF:VSet", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/ENERGYDISPERSION[energydispersion]/pass_energy/@units": "ev", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/ENERGYDISPERSION[energydispersion]/scheme": "tof", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/ENERGYDISPERSION[energydispersion]/tof_distance": "0.9", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/ENERGYDISPERSION[energydispersion]/tof_distance/@units": "m", + + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/DETECTOR[detector]/amplifier_type": "MCP", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/DETECTOR[detector]/detector_type": "DLD", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/DETECTOR[detector]/sensor_pixels": [1800, 1800], + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/DETECTOR[detector]/amplifier_bias": "@attrs:metadata/file/KTOF:Lens:MCPfront:VSet", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/DETECTOR[detector]/amplifier_bias/@units": "V", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/DETECTOR[detector]/amplifier_voltage": "@attrs:metadata/file/KTOF:Lens:MCPback:VSet", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/DETECTOR[detector]/amplifier_voltage/@units": "V", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/DETECTOR[detector]/detector_voltage": "@attrs:metadata/file/KTOF:Lens:UDLD:VSet", + "/ENTRY[entry]/INSTRUMENT[instrument]/ELECTRONANALYSER[electronanalyser]/DETECTOR[detector]/detector_voltage/@units": "V", + + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/name": "HHG @ TR-ARPES @ FHI", + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/probe": "x-ray", + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/type": "Laser", + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/mode": "Pulsed", + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/frequency": "@attrs:metadata/instrument/beam/probe/frequency", + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/frequency/@units": "kHz", + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source]/photon_energy": "@attrs:metadata/instrument/beam/probe/incident_energy", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam]/distance": 0.0, + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam]/distance/@units": "mm", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam]/incident_energy": "@attrs:metadata/instrument/beam/probe/incident_energy", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam]/incident_energy/@units": "eV", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam]/incident_energy_spread": "@attrs:metadata/instrument/beam/probe/incident_energy_spread", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam]/incident_energy_spread/@units": "eV", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam]/pulse_duration": "@attrs:metadata/instrument/beam/probe/pulse_duration", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam]/pulse_duration/@units": "fs", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam]/incident_polarization": "@attrs:metadata/instrument/beam/probe/incident_polarization", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam]/incident_polarization/@units": "V^2/mm^2", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam]/extent": "@attrs:metadata/instrument/beam/probe/extent", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam]/extent/@units": "µm", + + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source_pump]/name": "OPCPA @ TR-ARPES @ FHI", + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source_pump]/probe": "NIR", + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source_pump]/type": "Laser", + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source_pump]/mode": "Pulsed", + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source_pump]/frequency": "@attrs:metadata/instrument/beam/pump/frequency", + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source_pump]/frequency/@units": "kHz", + "/ENTRY[entry]/INSTRUMENT[instrument]/SOURCE[source_pump]/photon_energy": "@attrs:metadata/instrument/beam/pump/incident_energy", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/distance": 0.0, + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/distance/@units": "mm", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/incident_energy": "@attrs:metadata/instrument/beam/pump/incident_energy", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/incident_energy/@units": "eV", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/incident_energy_spread": "@attrs:metadata/instrument/beam/pump/incident_energy_spread", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/incident_energy_spread/@units": "eV", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/incident_wavelength": "@attrs:metadata/instrument/beam/pump/incident_wavelength", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/incident_wavelength/@units": "nm", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/pulse_duration": "@attrs:metadata/instrument/beam/pump/pulse_duration", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/pulse_duration/@units": "fs", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/incident_polarization": "@attrs:metadata/instrument/beam/pump/incident_polarization", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/incident_polarization/@units": "V^2/mm^2", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/pulse_energy": "@attrs:metadata/instrument/beam/pump/pulse_energy", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/pulse_energy/@units": "µJ", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/average_power": "@attrs:metadata/instrument/beam/pump/average_power", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/average_power/@units": "mW", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/extent": "@attrs:metadata/instrument/beam/pump/extent", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/extent/@units": "µm", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/fluence": "@attrs:metadata/instrument/beam/pump/fluence", + "/ENTRY[entry]/INSTRUMENT[instrument]/BEAM[beam_pump]/fluence/@units": "mJ/cm^2", + + "/ENTRY[entry]/SAMPLE[sample]/preparation_date": "@attrs:metadata/sample/preparation_date", + "/ENTRY[entry]/SAMPLE[sample]/sample_history": "@attrs:metadata/sample/sample_history", + "/ENTRY[entry]/SAMPLE[sample]/chemical_formula": "@attrs:metadata/sample/chemical_formula", + "/ENTRY[entry]/SAMPLE[sample]/description": "@attrs:metadata/sample/chemical_formula", + "/ENTRY[entry]/SAMPLE[sample]/name": "@attrs:metadata/sample/chemical_formula", + "/ENTRY[entry]/SAMPLE[sample]/pressure": "@attrs:metadata/sample/pressure", + "/ENTRY[entry]/SAMPLE[sample]/pressure/@units": "mbar", + "/ENTRY[entry]/SAMPLE[sample]/situation": "vacuum", + "/ENTRY[entry]/SAMPLE[sample]/temperature": "@attrs:metadata/sample/temperature", + "/ENTRY[entry]/SAMPLE[sample]/temperature/@units": "K", + "/ENTRY[entry]/SAMPLE[sample]/bias": "@attrs:metadata/file/KTOF:Lens:Sample:VSet", + "/ENTRY[entry]/SAMPLE[sample]/bias/@units": "V", + + + "/ENTRY[entry]/PROCESS[process]/calculated_energy": "@data:coords[\"E\"].data", + "/ENTRY[entry]/PROCESS[process]/calculated_kx": "@data:coords[\"kx\"].data", + "/ENTRY[entry]/PROCESS[process]/calculated_energy/@units": "eV", + "/ENTRY[entry]/PROCESS[process]/calculated_kx/@units": "1/A", + "/ENTRY[entry]/PROCESS[process]/energy_calibration/applied": true, + + "/ENTRY[entry]/DATA[data]/@axes": "@data:dims", + "/ENTRY[entry]/DATA[data]/@energy_indices": "@data:coords[\"E\"].data", + "/ENTRY[entry]/DATA[data]/@kx_indices": "@data:coords[\"kx\"].data", + "/ENTRY[entry]/DATA[data]/@signal": "data", + "/ENTRY[entry]/DATA[data]/data": "@data:data", + "/ENTRY[entry]/DATA[data]/energy": "@data:coords[\"E\"].data", + "/ENTRY[entry]/DATA[data]/kx": "@data:coords[\"kx\"].data", + "/ENTRY[entry]/DATA[data]/ky": "@data:coords[\"ky\"].data", + "/ENTRY[entry]/DATA[data]/delay": "@data:coords[\"delay\"].data" + + + + +} \ No newline at end of file diff --git a/tests/data/tools/dataconverter/readers/mpes/xarray_saved_small.h5 b/tests/data/tools/dataconverter/readers/mpes/xarray_saved_small.h5 new file mode 100755 index 000000000..44c186c1c Binary files /dev/null and b/tests/data/tools/dataconverter/readers/mpes/xarray_saved_small.h5 differ diff --git a/tests/data/yaml2nxdl_test_data/NXattributes.yml b/tests/data/yaml2nxdl_test_data/NXattributes.yml new file mode 100644 index 000000000..9e5061bc9 --- /dev/null +++ b/tests/data/yaml2nxdl_test_data/NXattributes.yml @@ -0,0 +1,33 @@ +#test case for attributes +doc: documentation no. 0 +symbols: + doc: documentation no. 1 + testnamesymbol: test description of symbol +category: application +(NXellipsometry_base_draft): + (NXentry): + \@entry: + doc: attribute documentation + # ATTRIBUTE DOCUMENTATION + exists: required + #if the exists keyword is not used the default is exists optional + doc: documentation no. 2 + experiment_identifier: + exists: required + doc: documentation no. 3 + experiment_description: + exists: required + start_time(NX_DATE_TIME): + exists: required + unit: NX_TIME + program_name: + doc: documentation no. 4 + program_version: + doc: documentation no. 5 + time_zone(NX_DATE_TIME): + exists: required + doc: documentation no. 6 + definition_local: + doc: documentation no. 7 + \@version: + # EMPTY ATTRIBUTES diff --git a/tests/data/yaml2nxdl_test_data/NXnested_symbols.yml b/tests/data/yaml2nxdl_test_data/NXnested_symbols.yml new file mode 100644 index 000000000..1544e51b0 --- /dev/null +++ b/tests/data/yaml2nxdl_test_data/NXnested_symbols.yml @@ -0,0 +1,19 @@ +symbols: + doc: teststring + nfa: Number of fast axes (acquired simutaneously) e.g. emission angle, kinetic energy + nsa: Number of slow axes (acquired scanning a physical quantity) e.g. lens voltage, photon energy or temperature + nx: Number of points in the first angular direction + ne: Number of points in the energy dispersion direction +category: base +doc: Test case for verifying handling of symbols inside a nexus class in nested layers of the hierarchy +(NXentry): + (NXsample): + symbols: + doc: teststring + n_comp: number of compositions + n_Temp: number of temperatures + (NXprocess): + symbols: + doc: another nest + x: parameter1 + y: parameter2 diff --git a/tests/data/yaml2nxdl_test_data/NXnested_symbols.yml.nxdl.xml b/tests/data/yaml2nxdl_test_data/NXnested_symbols.yml.nxdl.xml new file mode 100644 index 000000000..3f41398cc --- /dev/null +++ b/tests/data/yaml2nxdl_test_data/NXnested_symbols.yml.nxdl.xml @@ -0,0 +1,28 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/tests/data/yaml2nxdl_test_data/NXtest_links.yml b/tests/data/yaml2nxdl_test_data/NXtest_links.yml new file mode 100644 index 000000000..4bd6d5c36 --- /dev/null +++ b/tests/data/yaml2nxdl_test_data/NXtest_links.yml @@ -0,0 +1,8 @@ +category: base +doc: Test case for verifying that the parser can handle links correctly. +(NXentry): + (NXdata): + polar_angle(link): + target: here1 + target_angle(link): + target: here2 diff --git a/tests/data/yaml2nxdl_test_data/NXtest_links.yml.nxdl.xml b/tests/data/yaml2nxdl_test_data/NXtest_links.yml.nxdl.xml new file mode 100644 index 000000000..d48fbeb52 --- /dev/null +++ b/tests/data/yaml2nxdl_test_data/NXtest_links.yml.nxdl.xml @@ -0,0 +1,11 @@ + + + + + + + + + + + diff --git a/tests/data/yaml2nxdl_test_data/Ref_NXattributes.nxdl.xml b/tests/data/yaml2nxdl_test_data/Ref_NXattributes.nxdl.xml new file mode 100644 index 000000000..4dcbe76ec --- /dev/null +++ b/tests/data/yaml2nxdl_test_data/Ref_NXattributes.nxdl.xml @@ -0,0 +1,33 @@ + + + + documentation no. 0 + + documentation no. 1 + + + + + attribute documentation + + documentation no. 2 + + documentation no. 3 + + + + + documentation no. 4 + + + documentation no. 5 + + + documentation no. 6 + + + documentation no. 7 + + + + diff --git a/tests/data/yaml2nxdl_test_data/Ref_NXellipsometry.yml b/tests/data/yaml2nxdl_test_data/Ref_NXellipsometry.yml new file mode 100644 index 000000000..817bc4c90 --- /dev/null +++ b/tests/data/yaml2nxdl_test_data/Ref_NXellipsometry.yml @@ -0,0 +1,270 @@ +doc: "draft application definition for ellipsometry measurements, including complex systems up to variable angle spectroscopic ellipsometry." +symbols: + doc: "Variables used throughout the document, e.g. dimensions and important parameters" + angle_of_incidence: "The angle of incidence to the surface normal (stage normal) of the sample" + N_wavelength: "Size of the energy / wavelength vector used" + N_variables: "How many variables are saved in a measurement (e.g. Psi and delta, Mueller matrix)" + N_angles: "Number of incident angles used" + N_p1: "Number of first sample parameters scanned" + N_time: "Number of time points measured" +category: application +(NXellipsometry_base_draft): + (NXentry): + exists: required + \@entry: + doc: "NeXus convention is to use entry1, entry2, for analysis software to locate each entry." + doc: "to be defined" + experiment_identifier(NX_CHAR): + exists: required + doc: "Unique identifier of the experiment, such as a (globally persistent) unique identifier. The identifier is usually defined by the facility or principle investigator. The identifier enables to link experiments to e.g. proposals." + experiment_description(NX_CHAR): + exists: required + start_time(NX_DATE_TIME): + exists: required + unit: NX_TIME + program_name(NX_CHAR): + doc: "Commercial or otherwise defined given name to the program that was used to generate the results file(s) with measured data and metadata." + program_version(NX_CHAR): + doc: "Either version with build number, commit hash, or description of a (online) repository where the source code of the program and build instructions can be found so that the program can be configured in such a way that result files can be created ideally in a deterministic manner." + time_zone(NX_DATE_TIME): + exists: required + doc: "ISO 8601 time_zone offset from UTC." + definition_local(NX_CHAR): + doc: "FAIRmat-specific candidate proposal for an application definition exemplifying ellipsometry." + \@version: + doc: "Ideally version with build number are commit hash of the application definition. If not available a free-text description." + \@url: + doc: "URL where to find further material (documentation, examples) relevant to the application definition" + operator(NXuser): + exists: [min, 1, max, unbounded] + doc: "Contact information of at least the user of the instrument or the principal investigator who performed this experiment. Adding multiple users if relevant is recommended." + name(NX_CHAR): + exists: required + affiliation(NX_CHAR): + exists: recommended + doc: "Name of the affiliation of the user at the point in time when the experiment was performed." + address(NX_CHAR): + exists: recommended + email(NX_CHAR): + exists: required + orcid(NX_CHAR): + exists: recommended + telephone_number(NX_CHAR): + exists: recommended + (NXmonitor): + instrument(NXinstrument): + exists: required + doc: "General properties of the ellipsometry equipment" + model(NX_CHAR): + doc: "The name of the instrument" + company(NX_CHAR): + doc: "Name of the company" + construction_year(NX_DATE_TIME): + unit: NX_TIME + doc: "ISO8601 date when the instrument was constructed" + hardware_version(NX_CHAR): + doc: "The used version of the hardware if available" + software_name(NX_CHAR): + doc: "Name (e.g. commercial) of the software that was used for the measurement" + software_version(NX_CHAR): + doc: "Version and build number or commit hash of the software source code" + bandwidth(NX_NUMBER): + unit: NX_WAVELENGTH + doc: "Specify the bandwidth of the light" + light_source(NX_CHAR): + doc: "Specify the used light source" + focussing_probes(NX_BOOLEAN): + doc: "Were focussing probes (lenses) used or not?" + data_correction(NX_BOOLEAN): + doc: "Were the recorded data corrected by the window effects of the lenses or not?" + angular_spread(NX_NUMBER): + unit: NX_ANGLE + doc: "Specify the angular spread caused by the focussing probes" + ellipsometry_type(NX_CHAR): + doc: "What type of ellipsometry was used? See Fujiwara Table 4.2." + enumeration: [rotating analyzer, rotating analyzer with analyzer compensator, rotating analyzer with polarizer compensator, rotating polarizer, rotating compensator on polarizer side, rotating compensator on analyzer side, modulator on polarizer side, modulator on analyzer side, dual compensator, phase modulation, imaging ellipsometry, null ellipsometry] + calibration(NXprocess): + doc: "ellipsometers require regular calibration to adjust the hardware parameters for proper zero values and background light compensation" + calibration_time(NX_DATE_TIME): + doc: "ISO8601 datum when calibration was last performed before this measurement" + calibration_provided(NX_BOOLEAN): + doc: "Are the measured data provided?" + calibration_data(NXdata): + doc: "Arrays which provide the measured calibration data. Multiple sets are possible, e.g. Psi and delta measured on an e.g. silicon calibration waver, and the straight-through data." + data(NX_CHAR): + doc: "to be defined" + enumeration: [psi/delta, tan(psi)/cos(delta), Jones matrix, Mueller matrix] + angle_of_incidence(NX_NUMBER): + unit: NX_ANGLE + doc: "angle(s) of incidence used during the calibration measurement" + wavelength(NX_NUMBER): + unit: NX_LENGTH + doc: "The wavelength or equivalent values (, which are inter-convertible). The importer should convert all to one unit, and make the others accessible. Historically, energy is used in eV, but for visible spectroscopy wavelength is more common, for IR wave numbers in 1/cm units." + calibration_data(NX_NUMBER): + unit: NX_UNITLESS + doc: "to be defined" + calibration_sample(NX_CHAR): + doc: "Free-text to describe which sample was used for calibration, e.g. silicon wafer with 25 nm thermal oxide layer" + angle_of_incidence(NX_NUMBER): + unit: NX_ANGLE + doc: "the incident angle of the beam vs. the normal of the sample surface" + \@target: + dimensions: + rank: 1 + dim: [[1, N_angles]] + stage(NXstage): + exists: required + doc: "Where and how is the sample mounted" + enumeration: [manual stage, scanning stage, liquid stage, gas cell] + window(NXcollection): + doc: "For environmental measurements, if a window is between the sample and the optics of the ellipsometer, describe its properties." + thickness(NX_NUMBER): + unit: NX_LENGTH + doc: "Thickness of the window" + orientation_angle(NX_NUMBER): + unit: NX_ANGLE + doc: "Angle in the plane of incidence" + calibration_data(NXdata): + doc: "to be defined" + wavelength(NX_NUMBER): + unit: NX_LENGTH + doc: "to be defined" + data array(NX_NUMBER): + unit: NX_UNITLESS + doc: "to be defined" + calibration_sample(NX_CHAR): + doc: "Which sample was used to calibrate the window effect?" + detector(NXdetector): + doc: "Which type of detector was used, and what is known about it? A detector can be a photomultiplier (PMT), a CCD in a camera, an array in a spectrometer. If so, the whole unit goes in here." + detector_type(NX_CHAR): + exists: required + doc: "What kind of detector module is used, e.g. CCD-spectrometer, CCD camera, PMT, photodiode, etc." + duration(NX_NUMBER): + unit: NX_TIME + doc: "Integration time for the measurement. Single number or array if it was varied." + revolution(NX_NUMBER): + unit: NX_ANY + doc: "Define how many rotations of the rotating element were taken into account for one spectra." + rotating_element(NX_CHAR): + doc: "Define which elements rotates" + enumeration: [polarizer (source side), polarizer (detector side), compensator (source side), ccompensator (detector side)] + fixed_revolution(NX_NUMBER): + unit: NX_PER_TIME + doc: "if the revolution does not change during the measurement." + variable revolution(NX_NUMBER): + doc: "Specify maximum and minimum values for the revolution." + dimensions: + rank: 1 + dim: [[1, 2]] + sample(NXsample): + exists: required + atom_types(NX_CHAR): + exists: required + doc: "Use Hill's system for listing elements of the periodic table which are inside or attached to the surface of the specimen and thus relevant from a scientific point. The purpose of this field is to allow materials database to parse the relevant elements without having to interpret the sample history or other fields." + name(NX_CHAR): + exists: required + sample_history(NX_CHAR): + exists: required + doc: "Ideally, a reference to the location or a unique (globally persistent) identifier (e.g.) of e.g. another file which gives as many as possible details of the material, its microstructure, and its thermo-chemo-mechanical processing/preparation history. In the case that such a detailed history of the sample is not available, use this field as a free-text description to specify details of the sample and its preparation." + preparation_date(NX_DATE_TIME): + exists: required + unit: NX_TIME + preparation_time_zone(NX_DATE_TIME): + exists: required + unit: NX_TIME + doc: "ISO 8601 time_zone offset from UTC. The time zone can be different to the time zone of this experiment description because maybe the sample was prepared by one international group and is then measured in a different time zone." + description(NX_CHAR): + doc: "Specimen/sample preparation and previous processing steps is the history which the sample carries when it is mounted in the electron microscope. Therefore, preparation details and other points of this history should be stored in sample_history." + layer structure(NX_CHAR): + doc: "Qualitative description of the layer structure for the sample in cases where a detailed geometrical description is not available or desired/required." + orientation(NX_NUMBER): + unit: NX_ANGLE + doc: "Euler angles of stress relative to sample" + dimensions: + rank: 1 + dim: [[1, 3]] + position(NX_NUMBER): + unit: NX_LENGTH + doc: "Specifiy the position (e.g. in a line scan) with respect to a reference point" + dimensions: + rank: 1 + dim: [[1, 3]] + data_identifier(NX_NUMBER): + doc: "A identifier to correlate data to the experimental conditions, if several were used in this measurement; typically an index of 0 - N" + data_type(NX_CHAR): + exists: required + doc: "to be defined" + enumeration: [psi / delta, tan(psi)/cos(delta), Mueller matrix, Jones matrix, raw data] + number_of_variables(NX_INT): + doc: "specify the number of variables stored, e.g. psi, delta and their errors are 4 (this can be also automated, based on the provided data table)" + wavelength(NX_NUMBER): + unit: NX_LENGTH + doc: "Range, to be further specified" + (NXdata): + doc: "Resulting data from the measurement, described by data type. Minimum two columns, if errors are available twice as many. For a Mueller matrix, it may be nine (1,1 is all 1, the rest is symmetric)." + data(NX_NUMBER): + dimensions: + rank: 5 + dim: [[5, N_time], [4, N_p1], [3, N_angles], [2, N_variables], [1, N_wavelength]] + stage(NX_CHAR): + doc: "A link to the already existing information about sample position." + angle_of_incidence(NX_CHAR): + doc: "The incident angle of the beam vs. the normal of the sample surface." + time_points(NX_NUMBER): + unit: NX_TIME + doc: "An array of relative time points if a time series was recorded" + medium(NX_CHAR): + exists: required + doc: "Describe what was the medium above or around the sample. The common model is built up from substrate to the medium on the other side. Both boundaries are assumed infinite in the model. Here define the name of the material (e.g. water, air, etc.)." + alternative(NX_NUMBER): + unit: NX_UNITLESS + doc: "Array of pairs of complex refractive indices of the medium for every measured wavelength." + dimensions: + rank: 2 + dim: [[1, N_wavelength], [2, 2]] + environment_conditions(NX_CHAR): + doc: "External parameters that have influenced the sample." + number_of_runs(NX_UINT): + doc: "How many measurements were done varying the parameters? This forms an extra dimension beyond incident angle and energy / wavelength." + varied_parameters(NX_CHAR): + doc: "this is to indicate which parameter was changed. Its definition must exist below. The specified variable has to be number_of_runs long, providing the parameters for each data set." + enumeration: [optical excitation, voltage, temperature, pH, stress, stage positions] + length_of_runs(NX_UINT): + unit: NX_DIMENSIONLESS + doc: "Provide the number of parameters used, N_p1" + optical_excitation(NX_BOOLEAN): + doc: "Describe if the spectra where taken under optical excitation" + excitation_source(NX_CHAR): + doc: "Specify the source for the external excitation" + broadening(NX_NUMBER): + unit: NX_LENGTH + doc: "Specify the FWHM of the excitation" + excitation_type(NX_CHAR): + doc: "CW or pulsed excitation" + enumeration: [cw, pulsed] + pulse_length(NX_NUMBER): + unit: NX_TIME + repetition_rate(NX_NUMBER): + unit: NX_FREQUENCY + pulse_energy(NX_NUMBER): + unit: NX_ENERGY + doc: "to be define" + excitation power(NX_NUMBER): + unit: NX_ENERGY + voltage(NX_NUMBER): + unit: NX_VOLTAGE + doc: "If the spectra were taken under bias" + temperature(NX_NUMBER): + unit: nx_temperature + doc: "to be defined" + ph(NX_NUMBER): + unit: NX_UNITLESS + doc: "to be defined, how measured?" + stress(NX_NUMBER): + unit: NX_PRESSURE + doc: "to be defined, only qualitative (atmospheric) pressure or really the applied continuum stress/strain tensor on the sample?" + derived_parameters(NXcollection): + doc: "What parameters are derived from the above data" + depolarization(NX_NUMBER): + unit: NX_UNITLESS + doc: "to be defined" diff --git a/tests/data/yaml2nxdl_test_data/Ref_NXellipsometry_base_draft.nxdl.xml b/tests/data/yaml2nxdl_test_data/Ref_NXellipsometry_base_draft.nxdl.xml new file mode 100644 index 000000000..9a2a92acc --- /dev/null +++ b/tests/data/yaml2nxdl_test_data/Ref_NXellipsometry_base_draft.nxdl.xml @@ -0,0 +1,349 @@ + + + + draft application definition for ellipsometry measurements, including complex systems up to variable angle spectroscopic ellipsometry. + + Variables used throughout the document, e.g. dimensions and important parameters + + + + + + + + + + NeXus convention is to use entry1, entry2, for analysis software to locate each entry. + + to be defined + + Unique identifier of the experiment, such as a (globally persistent) unique identifier. The identifier is usually defined by the facility or principle investigator. The identifier enables to link experiments to e.g. proposals. + + + + + Commercial or otherwise defined given name to the program that was used to generate the results file(s) with measured data and metadata. + + + Either version with build number, commit hash, or description of a (online) repository where the source code of the program and build instructions can be found so that the program can be configured in such a way that result files can be created ideally in a deterministic manner. + + + ISO 8601 time_zone offset from UTC. + + + FAIRmat-specific candidate proposal for an application definition exemplifying ellipsometry. + + Ideally version with build number are commit hash of the application definition. If not available a free-text description. + + + URL where to find further material (documentation, examples) relevant to the application definition + + + + Contact information of at least the user of the instrument or the principal investigator who performed this experiment. Adding multiple users if relevant is recommended. + + + Name of the affiliation of the user at the point in time when the experiment was performed. + + + + + + + + + General properties of the ellipsometry equipment + + The name of the instrument + + + Name of the company + + + ISO8601 date when the instrument was constructed + + + The used version of the hardware if available + + + Name (e.g. commercial) of the software that was used for the measurement + + + Version and build number or commit hash of the software source code + + + Specify the bandwidth of the light + + + Specify the used light source + + + Were focussing probes (lenses) used or not? + + + Were the recorded data corrected by the window effects of the lenses or not? + + + Specify the angular spread caused by the focussing probes + + + What type of ellipsometry was used? See Fujiwara Table 4.2. + + + + + + + + + + + + + + + + + ellipsometers require regular calibration to adjust the hardware parameters for proper zero values and background light compensation + + ISO8601 datum when calibration was last performed before this measurement + + + Are the measured data provided? + + + Arrays which provide the measured calibration data. Multiple sets are possible, e.g. Psi and delta measured on an e.g. silicon calibration waver, and the straight-through data. + + to be defined + + + + + + + + + angle(s) of incidence used during the calibration measurement + + + The wavelength or equivalent values (, which are inter-convertible). The importer should convert all to one unit, and make the others accessible. Historically, energy is used in eV, but for visible spectroscopy wavelength is more common, for IR wave numbers in 1/cm units. + + + to be defined + + + Free-text to describe which sample was used for calibration, e.g. silicon wafer with 25 nm thermal oxide layer + + + + the incident angle of the beam vs. the normal of the sample surface + + + + + + + + Where and how is the sample mounted + + + + + + + + + For environmental measurements, if a window is between the sample and the optics of the ellipsometer, describe its properties. + + Thickness of the window + + + Angle in the plane of incidence + + + to be defined + + + to be defined + + + to be defined + + + Which sample was used to calibrate the window effect? + + + + Which type of detector was used, and what is known about it? A detector can be a photomultiplier (PMT), a CCD in a camera, an array in a spectrometer. If so, the whole unit goes in here. + + What kind of detector module is used, e.g. CCD-spectrometer, CCD camera, PMT, photodiode, etc. + + + Integration time for the measurement. Single number or array if it was varied. + + + Define how many rotations of the rotating element were taken into account for one spectra. + + + Define which elements rotates + + + + + + + + + if the revolution does not change during the measurement. + + + Specify maximum and minimum values for the revolution. + + + + + + + + + Use Hill's system for listing elements of the periodic table which are inside or attached to the surface of the specimen and thus relevant from a scientific point. The purpose of this field is to allow materials database to parse the relevant elements without having to interpret the sample history or other fields. + + + + Ideally, a reference to the location or a unique (globally persistent) identifier (e.g.) of e.g. another file which gives as many as possible details of the material, its microstructure, and its thermo-chemo-mechanical processing/preparation history. In the case that such a detailed history of the sample is not available, use this field as a free-text description to specify details of the sample and its preparation. + + + + ISO 8601 time_zone offset from UTC. The time zone can be different to the time zone of this experiment description because maybe the sample was prepared by one international group and is then measured in a different time zone. + + + Specimen/sample preparation and previous processing steps is the history which the sample carries when it is mounted in the electron microscope. Therefore, preparation details and other points of this history should be stored in sample_history. + + + Qualitative description of the layer structure for the sample in cases where a detailed geometrical description is not available or desired/required. + + + Euler angles of stress relative to sample + + + + + + Specifiy the position (e.g. in a line scan) with respect to a reference point + + + + + + A identifier to correlate data to the experimental conditions, if several were used in this measurement; typically an index of 0 - N + + + to be defined + + + + + + + + + + specify the number of variables stored, e.g. psi, delta and their errors are 4 (this can be also automated, based on the provided data table) + + + Range, to be further specified + + + Resulting data from the measurement, described by data type. Minimum two columns, if errors are available twice as many. For a Mueller matrix, it may be nine (1,1 is all 1, the rest is symmetric). + + + + + + + + + + + + A link to the already existing information about sample position. + + + The incident angle of the beam vs. the normal of the sample surface. + + + An array of relative time points if a time series was recorded + + + Describe what was the medium above or around the sample. The common model is built up from substrate to the medium on the other side. Both boundaries are assumed infinite in the model. Here define the name of the material (e.g. water, air, etc.). + + + Array of pairs of complex refractive indices of the medium for every measured wavelength. + + + + + + + External parameters that have influenced the sample. + + + How many measurements were done varying the parameters? This forms an extra dimension beyond incident angle and energy / wavelength. + + + this is to indicate which parameter was changed. Its definition must exist below. The specified variable has to be number_of_runs long, providing the parameters for each data set. + + + + + + + + + + + Provide the number of parameters used, N_p1 + + + Describe if the spectra where taken under optical excitation + + + Specify the source for the external excitation + + + Specify the FWHM of the excitation + + + CW or pulsed excitation + + + + + + + + + to be define + + + + If the spectra were taken under bias + + + to be defined + + + to be defined, how measured? + + + to be defined, only qualitative (atmospheric) pressure or really the applied continuum stress/strain tensor on the sample? + + + What parameters are derived from the above data + + to be defined + + + + + diff --git a/tests/data/yaml2nxdl_test_data/Ref_NXnested_symbols.nxdl.xml b/tests/data/yaml2nxdl_test_data/Ref_NXnested_symbols.nxdl.xml new file mode 100644 index 000000000..9894682c2 --- /dev/null +++ b/tests/data/yaml2nxdl_test_data/Ref_NXnested_symbols.nxdl.xml @@ -0,0 +1,26 @@ + + + + Test case for verifying handling of symbols inside a nexus class in nested layers of the hierarchy + + teststring + + + + + + + + teststring + + + + + + another nest + + + + + + diff --git a/tests/data/yaml2nxdl_test_data/Ref_NXtest_links.nxdl.xml b/tests/data/yaml2nxdl_test_data/Ref_NXtest_links.nxdl.xml new file mode 100644 index 000000000..cf488d73a --- /dev/null +++ b/tests/data/yaml2nxdl_test_data/Ref_NXtest_links.nxdl.xml @@ -0,0 +1,9 @@ + + + + Test case for verifying that the parser can handle links correctly. + + + + + diff --git a/tests/test_nexus.py b/tests/test_nexus.py index 3c02c7cc0..70945d4b2 100644 --- a/tests/test_nexus.py +++ b/tests/test_nexus.py @@ -1,3 +1,6 @@ +"""This is a code that performs several tests on nexus tool + +""" # # Copyright The NOMAD Authors. # @@ -20,30 +23,34 @@ import pytest from nomad.metainfo import Definition, MSection, Section -from nexusparser.metainfo import nexus from nomad.datamodel import EntryArchive +from nexusparser.metainfo import nexus +from nexusparser import tools @pytest.mark.parametrize('path,value', [ - pytest.param('base_classes.name', 'nexus_base_classes'), - pytest.param('base_classes.NXobject.name', 'NXobject'), - pytest.param('base_classes.NXentry.nx_kind', 'group'), - pytest.param('base_classes.NXentry.defaultAttribute.nx_value.type', str), - pytest.param('base_classes.NXentry.nx_attribute_default', '*'), - pytest.param('base_classes.NXentry.NXdataGroup', '*'), - pytest.param('base_classes.NXdetector.real_timeField', '*'), - pytest.param('base_classes.NXentry.NXdataGroup.nx_optional', True), - pytest.param('base_classes.NXentry.nx_group_DATA.section_def.nx_kind', 'group'), - pytest.param('base_classes.NXentry.nx_group_DATA.section_def.nx_optional', True), - pytest.param('base_classes.NXentry.nx_group_DATA.section_def.nx_name.type', str), - pytest.param('base_classes.NXdetector.real_timeField.name', 'real_timeField'), - pytest.param('base_classes.NXdetector.real_timeField.nx_type', 'NX_NUMBER'), - pytest.param('base_classes.NXdetector.real_timeField.nx_units', 'NX_TIME'), - pytest.param('base_classes.NXdetector.real_timeField.nx_unit', '*'), - pytest.param('base_classes.NXdetector.real_timeField.nx_value', '*'), - pytest.param('applications.NXarpes.NXentryGroup.NXdataGroup.nx_optional', False) + pytest.param('BASE_CLASSES.name', 'nexus_base_classes'), + pytest.param('BASE_CLASSES.NXobject.name', 'NXobject'), + pytest.param('BASE_CLASSES.NXentry.nx_kind', 'group'), + pytest.param('BASE_CLASSES.NXentry.defaultAttribute.nx_value.type', str), + pytest.param('BASE_CLASSES.NXentry.nx_attribute_default', '*'), + pytest.param('BASE_CLASSES.NXentry.NXdataGroup', '*'), + pytest.param('BASE_CLASSES.NXdetector.real_timeField', '*'), + pytest.param('BASE_CLASSES.NXentry.NXdataGroup.nx_optional', True), + pytest.param('BASE_CLASSES.NXentry.nx_group_DATA.section_def.nx_kind', 'group'), + pytest.param('BASE_CLASSES.NXentry.nx_group_DATA.section_def.nx_optional', True), + pytest.param('BASE_CLASSES.NXentry.nx_group_DATA.section_def.nx_name.type', str), + pytest.param('BASE_CLASSES.NXdetector.real_timeField.name', 'real_timeField'), + pytest.param('BASE_CLASSES.NXdetector.real_timeField.nx_type', 'NX_NUMBER'), + pytest.param('BASE_CLASSES.NXdetector.real_timeField.nx_units', 'NX_TIME'), + pytest.param('BASE_CLASSES.NXdetector.real_timeField.nx_unit', '*'), + pytest.param('BASE_CLASSES.NXdetector.real_timeField.nx_value', '*'), + pytest.param('APPLICATIONS.NXarpes.NXentryGroup.NXdataGroup.nx_optional', False) ]) def test_assert_nexus_metainfo(path: str, value: Any): + """Test the existance of nexus metainfo + +""" segments = path.split('.') package, definition_names = segments[0], segments[1:] @@ -60,7 +67,7 @@ def test_assert_nexus_metainfo(path: str, value: Any): if current is None: assert False, f'{path} does not exist' - if value is '*': + if value == '*': assert current is not None, f'{path} does not exist' elif value is None: assert current is None, f'{path} does exist' @@ -74,28 +81,35 @@ def test_assert_nexus_metainfo(path: str, value: Any): def test_use_nexus_metainfo(): + """Test on use of Nexus metainfo + +""" # pylint: disable=no-member archive = EntryArchive() archive.nexus = nexus.Nexus() archive.nexus.nx_application_arpes = nexus.NXarpes() archive.nexus.nx_application_arpes.m_create(nexus.NXarpes.NXentryGroup) - archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_field_title = nexus.NXarpes.NXentryGroup.titleField() + archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_field_title = \ + nexus.NXarpes.NXentryGroup.titleField() archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_field_title.nx_value = 'my title' - # Entry/default is not overwritten in NXarpes. Therefore technically, there is no attribute section + # Entry/default is not overwritten in NXarpes. Therefore technically, + # there is no attribute section # nexus.NXarpes.NXentryGroup.DefaultAttribute. We artifically extented inheritence to # include inner section/classes. So both options work: - # archive.nexus.nx_application_arpes.nx_group_ENTRY.nx_attribute_default = nexus.NXentry.DefaultAttribute() - archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_attribute_default = nexus.NXarpes.NXentryGroup.defaultAttribute() - archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_attribute_default.nx_value = 'my default' + # archive.nexus.nx_application_arpes.nx_group_ENTRY.nx_attribute_default = + # nexus.NXentry.DefaultAttribute() + archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_attribute_default = \ + nexus.NXarpes.NXentryGroup.defaultAttribute() + archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_attribute_default.nx_value = \ + 'my default' # pylint: enable=no-member archive = EntryArchive.m_from_dict(archive.m_to_dict()) - assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_attribute_default.nx_value == 'my default' - assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_field_title.nx_value == 'my title' - - # TODO remove - # print(json.dumps(archive.m_to_dict(), indent=2)) + assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_attribute_default.nx_value == \ + 'my default' + assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_field_title.nx_value == \ + 'my title' @pytest.mark.parametrize('path', [ @@ -103,6 +117,9 @@ def test_use_nexus_metainfo(): pytest.param('NXarpes:app/NXentry:group/default:attribute/my default:value', id='attribute') ]) def test_use_nexus_metainfo_reflectivly(path): + """Test of the use of nexus metainfo reflectivly + +""" archive = EntryArchive() archive.nexus = nexus.Nexus() # pylint: disable=no-member parent_object: MSection = archive.nexus @@ -113,20 +130,28 @@ def test_use_nexus_metainfo_reflectivly(path): name_or_value, kind = segment.split(':') if kind in ['app', 'group', 'field', 'attribute']: if kind == 'app': - section_definition = nexus.applications.all_definitions[name_or_value] - sub_section_definition = parent_definition.all_sub_sections[name_or_value.replace('NX', 'nx_application_')] + section_definition = nexus.APPLICATIONS.all_definitions[name_or_value] + sub_section_definition = \ + parent_definition.all_sub_sections[name_or_value.replace('NX', '\ +nx_application_')] if kind == 'group': - section_definition = parent_definition.all_inner_section_definitions[f'{name_or_value}Group'] - sub_section_definition = parent_definition.all_sub_sections[f'nx_group_{name_or_value.replace("NX", "").upper()}'] + section_definition = \ + parent_definition.all_inner_section_definitions[f'{name_or_value}Group'] + sub_section_definition = \ + parent_definition.all_sub_sections[f'nx_group_{name_or_value.replace("NX", "").upper()}'] if kind == 'field': - section_definition = parent_definition.all_inner_section_definitions[f'{name_or_value}Field'] - sub_section_definition = parent_definition.all_sub_sections[f'nx_field_{name_or_value}'] + section_definition = \ + parent_definition.all_inner_section_definitions[f'{name_or_value}Field'] + sub_section_definition = \ + parent_definition.all_sub_sections[f'nx_field_{name_or_value}'] if kind == 'attribute': - section_definition = parent_definition.all_inner_section_definitions[f'{name_or_value}Attribute'] - sub_section_definition = parent_definition.all_sub_sections[f'nx_attribute_{name_or_value}'] + section_definition = \ + parent_definition.all_inner_section_definitions[f'{name_or_value}Attribute'] + sub_section_definition = \ + parent_definition.all_sub_sections[f'nx_attribute_{name_or_value}'] new_object = section_definition.section_cls() parent_object.m_add_sub_section(sub_section_definition, new_object) @@ -139,3 +164,25 @@ def test_use_nexus_metainfo_reflectivly(path): parent_object = new_object parent_definition = section_definition + + +def test_get_nexus_classes_units_attributes(): + """Check the correct parsing of a separate list for: +Nexus classes (base_classes) +Nexus units (memberTypes) +Nexus attribute type (primitiveTypes) +the tested functions can be found in nexus.py file +""" + + # Test 1 + nexus_classes_list = tools.nexus.get_nx_classes() + + assert 'NXbeam' in nexus_classes_list + + # Test 2 + nexus_units_list = tools.nexus.get_nx_units() + assert 'NX_TEMPERATURE' in nexus_units_list + + # Test 3 + nexus_attribute_list = tools.nexus.get_nx_attribute_type() + assert 'NX_FLOAT' in nexus_attribute_list diff --git a/tests/test_parser.py b/tests/test_parser.py index c5a643098..b40fffdad 100644 --- a/tests/test_parser.py +++ b/tests/test_parser.py @@ -1,3 +1,6 @@ +"""Test scripts for parser.py tool + +""" # # Copyright The NOMAD Authors. # @@ -16,78 +19,85 @@ # limitations under the License. # +import sys import os -import pytest import logging +from datetime import datetime +from pathlib import Path +import pytest from nomad.datamodel import EntryArchive - -import sys +from nexusparser.tools import nexus # noqa: E402 +from nexusparser import NexusParser # noqa: E402 sys.path.insert(0, '.') sys.path.insert(0, '..') sys.path.insert(0, '../..') -from nexusparser.tools import read_nexus # noqa: E402 -from nexusparser import NexusParser # noqa: E402 @pytest.fixture def parser(): + """Helper function to launch NexusParser class + +""" return NexusParser() -def test_read_nexus(): - localDir = os.path.abspath(os.path.dirname(__file__)) - example_data = os.path.join(localDir, 'data/nexus_test_data/201805_WSe2_arpes.nxs') +def test_nexus(tmp_path): + """The nexus test function + +""" + local_dir = os.path.abspath(os.path.dirname(__file__)) + example_data = os.path.join(local_dir, 'data/nexus_test_data/201805_WSe2_arpes.nxs') logger = logging.getLogger() logger.setLevel(logging.DEBUG) - handler = logging.FileHandler(os.path.join(localDir, 'data/read_nexus_test.log'), 'w') + handler = logging.\ + FileHandler(os.path.join(tmp_path, 'nexus_test.log'), 'w') handler.setLevel(logging.DEBUG) formatter = logging.Formatter('%(levelname)s - %(message)s') handler.setFormatter(formatter) logger.addHandler(handler) - nexus_helper = read_nexus.HandleNexus(logger, [example_data]) + nexus_helper = nexus.HandleNexus(logger, [example_data]) nexus_helper.process_nexus_master_file(None) # check logging result - with open(os.path.join(localDir, 'data/read_nexus_test.log'), "r") as file: - number_of_lines = len(file.readlines()) - file.seek(0) - sum_char_values = sum(map(ord, file.read())) - assert number_of_lines == 1653 - assert sum_char_values == 4419958 - print('Testing of read_nexus.py is SUCCESSFUL.') - + # with open(os.path.join(local_dir, 'data/nexus_test.log'), "r") as file: + # number_of_lines = len(file.readlines()) + # file.seek(0) + # sum_char_values = sum(map(ord, file.read())) + # assert number_of_lines == 1653 + # assert sum_char_values == 4419958 + with open(os.path.join(tmp_path, 'nexus_test.log'), 'r') as logfile: + log = logfile.readlines() + with open(os.path.join(local_dir, 'data/nexus_test_data/Ref_nexus_test.log'), 'r') as reffile: + ref = reffile.readlines() + assert log == ref + print('Testing of nexus.py is SUCCESSFUL.') -@pytest.mark.skip(reason="not to test it alone") -def testing_nxdl_to_attr_obj_1(example_path, result_str): - result = read_nexus.nxdl_to_attr_obj(example_path) - assert result.attrib['type'] == result_str, "failed on: " + example_path + "expected type: " + result_str +# TODO Write a test for tools.nexus.get_node_at_nxdl_path - Sherjeel -def test_nxdl_to_attr_obj(): - testing_nxdl_to_attr_obj_1('NXsqom:/ENTRY/instrument/SOURCE', "NXsource") - testing_nxdl_to_attr_obj_1('NXspe:/ENTRY/NXSPE_info', "NXcollection") - # test_nxdl_to_attr_obj_1('NXem_base_draft.yml:/ENTRY/SUBENTRY/thumbnail/mime_type', "") - -def test_example(parser): +def test_example(): archive = EntryArchive() - localDir = os.path.abspath(os.path.dirname(__file__)) - example_data = os.path.join(localDir, 'data/nexus_test_data/201805_WSe2_arpes.nxs') - parser.parse(example_data, archive, logging.getLogger()) - assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_group_SAMPLE[0].nx_field_pressure.nx_unit == "millibar" - assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_group_SAMPLE[0].nx_field_pressure.m_def.nx_units == "NX_PRESSURE" - assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_group_INSTRUMENT[0].nx_group_MONOCHROMATOR[0].nx_field_energy.nx_value == 36.49699020385742 - assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_group_INSTRUMENT[0].nx_group_MONOCHROMATOR[0].nx_field_energy.nx_name == 'energy' - assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_group_DATA[0].nx_field_VARIABLE[0].nx_name == "angles" - assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_group_DATA[0].nx_field_VARIABLE[1].nx_name == "delays" - assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_group_DATA[0].nx_field_VARIABLE[2].nx_name == "energies" - assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_group_DATA[0].nx_field_VARIABLE[0].nx_unit == "1/Å" - assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_group_DATA[0].nx_field_VARIABLE[1].nx_unit == "fs" - assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_group_DATA[0].nx_field_VARIABLE[2].nx_unit == "eV" - - -if __name__ == '__main__': - # test_read_nexus() - # test_nxdl_to_attr_obj() - p = parser() - test_example(p) + local_dir = os.path.abspath(os.path.dirname(__file__)) + example_data = os.path.join(local_dir, 'data/nexus_test_data/201805_WSe2_arpes.nxs') + parser().parse(example_data, archive, logging.getLogger()) + assert archive.nexus.nx_application_arpes.\ + nx_group_ENTRY[0].nx_group_SAMPLE[0].nx_field_pressure.nx_unit == "millibar" + assert archive.nexus.nx_application_arpes.\ + nx_group_ENTRY[0].nx_group_SAMPLE[0].nx_field_pressure.m_def.nx_units == "NX_PRESSURE" + assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_group_INSTRUMENT[0].\ + nx_group_MONOCHROMATOR[0].nx_field_energy.nx_value == 36.49699020385742 + assert archive.nexus.nx_application_arpes.nx_group_ENTRY[0].nx_group_INSTRUMENT[0].\ + nx_group_MONOCHROMATOR[0].nx_field_energy.nx_name == 'energy' + assert archive.nexus.nx_application_arpes.\ + nx_group_ENTRY[0].nx_group_DATA[0].nx_field_VARIABLE[0].nx_name == "angles" + assert archive.nexus.nx_application_arpes.\ + nx_group_ENTRY[0].nx_group_DATA[0].nx_field_VARIABLE[1].nx_name == "delays" + assert archive.nexus.nx_application_arpes.\ + nx_group_ENTRY[0].nx_group_DATA[0].nx_field_VARIABLE[2].nx_name == "energies" + assert archive.nexus.nx_application_arpes.\ + nx_group_ENTRY[0].nx_group_DATA[0].nx_field_VARIABLE[0].nx_unit == "1/Å" + assert archive.nexus.nx_application_arpes.\ + nx_group_ENTRY[0].nx_group_DATA[0].nx_field_VARIABLE[1].nx_unit == "fs" + assert archive.nexus.nx_application_arpes.\ + nx_group_ENTRY[0].nx_group_DATA[0].nx_field_VARIABLE[2].nx_unit == "eV" diff --git a/tests/test_yml2nxdl.py b/tests/test_yml2nxdl.py new file mode 100755 index 000000000..f157f740d --- /dev/null +++ b/tests/test_yml2nxdl.py @@ -0,0 +1,221 @@ +#!/usr/bin/env python3 +"""This tool accomplishes some tests for the yaml2nxdl parser + +""" +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import os +import sys +from datetime import datetime +from pathlib import Path +import xml.etree.ElementTree as ET +import pytest +from click.testing import CliRunner +import nexusparser.tools.yaml2nxdl.yaml2nxdl as yml2nxdl +import nexusparser.tools.yaml2nxdl.nxdl2yaml as nxdl2yaml +from nexusparser.tools.yaml2nxdl import yaml2nxdl_read_yml_file as read + +sys.path.insert(0, '../nexusparser/tools') +sys.path.insert(0, '../nexusparser/tools/yaml2nxdl') + +LOCALDIR = os.path.abspath(os.path.dirname(__file__)) + + +def delete_duplicates(list_of_matching_string): + """Delete duplicate from lists + +""" + return list(dict.fromkeys(list_of_matching_string)) + + +def check_file_fresh_baked(test_file): + """Get sure that the test file is generated by the converter + +""" + path = Path(test_file) + timestamp = datetime.fromtimestamp(path.stat().st_mtime).strftime("%d/%m/%Y %H:%M") + now = datetime.now().strftime("%d/%m/%Y %H:%M") + assert timestamp == now, 'xml file not generated' + + +def find_matches(xml_file, desired_matches): + """Read xml file and find desired matches. +Return a list of two lists in the form: +[[matching_line],[matching_line_index]] + +""" + with open(xml_file, 'r') as file: + xml_reference = file.readlines() + lines = [] + lines_index = [] + found_matches = [] + for i, line in enumerate(xml_reference): + for desired_match in desired_matches: + if str(desired_match) in str(line): + lines.append(line) + lines_index.append(i) + found_matches.append(desired_match) + # ascertain that all the desired matches were found in file + found_matches_clean = delete_duplicates(found_matches) + assert len(found_matches_clean) == len(desired_matches), 'some desired_matches were \ +not found in file' + return [lines, lines_index] + + +def compare_matches(ref_xml_file, test_yml_file, test_xml_file, desired_matches): + """Check if a new xml file is generated +and if test xml file is equal to reference xml file + +""" + # Reference file is read + ref_matches = find_matches(ref_xml_file, desired_matches) + # Test file is generated + result = CliRunner().invoke(yml2nxdl.yaml2nxdl, ['--input-file', test_yml_file]) + assert result.exit_code == 0 + check_file_fresh_baked(test_xml_file) + # Test file is read + test_matches = find_matches(test_xml_file, desired_matches) + assert test_matches == ref_matches + + +@pytest.fixture +def test_links(): + """First test: check the correct parsing of links + +""" + ref_xml_link_file = os.path.join( + LOCALDIR, 'data/yaml2nxdl_test_data/Ref_NXtest_links.nxdl.xml') + test_yml_link_file = os.path.join( + LOCALDIR, 'data/yaml2nxdl_test_data/NXtest_links.yml') + test_xml_link_file = os.path.join( + LOCALDIR, 'data/yaml2nxdl_test_data/NXtest_links.nxdl.xml') + desired_matches = [''] + compare_matches( + ref_xml_link_file, + test_yml_link_file, + test_xml_link_file, + desired_matches) + sys.stdout.write('Test on links okay.\n') + + +@pytest.fixture +def test_symbols(): + """Second test: check the correct parsing of symbols + +""" + ref_xml_symbol_file = os.path.join( + LOCALDIR, 'data/yaml2nxdl_test_data/Ref_NXnested_symbols.nxdl.xml') + test_yml_symbol_file = os.path.join( + LOCALDIR, 'data/yaml2nxdl_test_data/NXnested_symbols.yml') + test_xml_symbol_file = os.path.join( + LOCALDIR, 'data/yaml2nxdl_test_data/NXnested_symbols.nxdl.xml') + desired_matches = ['', '', '', '', ''] + compare_matches( + ref_xml_attribute_file, + test_yml_attribute_file, + test_xml_attribute_file, + desired_matches) + sys.stdout.write('Test on attributes okay.\n') + + +@pytest.fixture +def test_xml_parsing(): + """In this test an xml file in converted to yml and then back to xml. +The xml trees of the two files are then compared. + + """ + ref_xml_file = os.path.join( + LOCALDIR, 'data/yaml2nxdl_test_data/Ref_NXellipsometry_base_draft.nxdl.xml') + test_yml_file = os.path.join( + LOCALDIR, 'data/yaml2nxdl_test_data/Ref_NXellipsometry_base_draft_parsed.yml') + test_xml_file = os.path.join( + LOCALDIR, 'data/yaml2nxdl_test_data/Ref_NXellipsometry_base_draft_parsed.nxdl.xml') + result = CliRunner().invoke(nxdl2yaml.launch_nxdl2yml, ['--input-file', ref_xml_file]) + assert result.exit_code == 0 + check_file_fresh_baked(test_yml_file) + result = CliRunner().invoke(yml2nxdl.yaml2nxdl, ['--input-file', test_yml_file]) + assert result.exit_code == 0 + check_file_fresh_baked(test_xml_file) + + test_tree = ET.parse(test_xml_file) + test_tree_flattened = [i.tag.split("}", 1)[1] for i in test_tree.iter()] + + ref_tree = ET.parse(ref_xml_file) + ref_tree_flattened = [i.tag.split("}", 1)[1] for i in ref_tree.iter()] + + assert set(test_tree_flattened) == set(ref_tree_flattened), 'Ref XML and parsed XML\ +has not the same tree structure!!' + sys.stdout.write('Test on xml -> yml -> xml okay.\n') + + +@pytest.fixture +def test_yml_parsing(): + """In this test an xml file in converted to yml and then back to xml. +The xml trees of the two files are then compared. + + """ + ref_yml_file = os.path.join( + LOCALDIR, 'data/yaml2nxdl_test_data/Ref_NXellipsometry.yml') + test_xml_file = os.path.join( + LOCALDIR, 'data/yaml2nxdl_test_data/Ref_NXellipsometry.nxdl.xml') + test_yml_file = os.path.join( + LOCALDIR, 'data/yaml2nxdl_test_data/Ref_NXellipsometry_parsed.yml') + result = CliRunner().invoke(yml2nxdl.yaml2nxdl, ['--input-file', ref_yml_file]) + assert result.exit_code == 0 + check_file_fresh_baked(test_xml_file) + result = CliRunner().invoke(nxdl2yaml.launch_nxdl2yml, ['--input-file', test_xml_file]) + assert result.exit_code == 0 + check_file_fresh_baked(test_yml_file) + + test_yml_tree = read.yml_reader(test_yml_file) + + ref_yml_tree = read.yml_reader(ref_yml_file) + + assert list(test_yml_tree) == list(ref_yml_tree), 'Ref YML and parsed YML \ +has not the same root entries!!' + sys.stdout.write('Test on yml -> xml -> yml okay.\n') + + +if __name__ == '__main__': + test_links() + test_symbols() + test_attributes() + test_xml_parsing() + test_yml_parsing() diff --git a/tests/tools/dataconverter/__init__.py b/tests/tools/dataconverter/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/tools/dataconverter/test_convert.py b/tests/tools/dataconverter/test_convert.py new file mode 100644 index 000000000..1e8b2471a --- /dev/null +++ b/tests/tools/dataconverter/test_convert.py @@ -0,0 +1,65 @@ +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""Test cases for the convert script used to access the DataConverter.""" + +import os +from click.testing import CliRunner +import pytest + +import nexusparser.tools.dataconverter.convert as dataconverter +from nexusparser.tools.dataconverter.readers.base.reader import BaseReader + + +NX_TEST = os.path.join("tests", "data", "tools", "dataconverter", "NXtest.nxdl.xml") + + +def test_get_reader(): + """Unit test for the helper function to get a reader.""" + assert isinstance(dataconverter.get_reader("example")(), BaseReader) + + +def test_get_names_of_all_readers(): + """Unit test for the helper function to get all readers.""" + assert "example" in dataconverter.get_names_of_all_readers() + + +@pytest.mark.parametrize("cli_inputs", [ + pytest.param([ + "--nxdl", + NX_TEST, + "--generate-template" + ], id="generate-template"), + pytest.param([], id="nxdl-not-provided"), + pytest.param([ + "--nxdl", + NX_TEST, + "--input-file", + "test_input" + ], id="input-file") +]) +def test_cli(caplog, cli_inputs): + """A test for the convert CLI.""" + runner = CliRunner() + result = runner.invoke(dataconverter.convert, cli_inputs) + if "--generate-template" in cli_inputs: + assert result.exit_code == 0 + assert "\"/ENTRY[entry]/NXODD_name/int_value\": \"None\"," in caplog.text + elif "--input-file" in cli_inputs: + assert "test_input" in caplog.text + elif result.exit_code == 2: + assert "Error: Missing option '--nxdl'" in result.output diff --git a/tests/tools/dataconverter/test_helpers.py b/tests/tools/dataconverter/test_helpers.py new file mode 100644 index 000000000..385134f38 --- /dev/null +++ b/tests/tools/dataconverter/test_helpers.py @@ -0,0 +1,210 @@ +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""Test cases for the helper functions used by the DataConverter.""" + +import xml.etree.ElementTree as ET +import os +import pytest +import numpy as np + +import nexusparser.tools.dataconverter.helpers as helpers + + +def alter_dict(data_dict: dict, key: str, value: object): + """Helper function to alter a single entry in dict for parametrize.""" + if data_dict is not None: + internal_dict = dict(data_dict) + internal_dict[key] = value + return internal_dict + + return None + + +@pytest.fixture(name="nxdl_root") +def fixture_nxdl_root(): + """pytest fixtrue to load the same NXDL file for all tests.""" + nxdl_file = os.path.join("tests", "data", "tools", "dataconverter", "NXtest.nxdl.xml") + yield ET.parse(nxdl_file).getroot() + + +@pytest.fixture(name="template") +def fixture_template(): + """pytest fixture to use the same template in all tests""" + yield { + "/ENTRY[entry]/NXODD_name/bool_value": None, + "/ENTRY[entry]/NXODD_name/char_value": None, + "/ENTRY[entry]/NXODD_name/float_value": None, + "/ENTRY[entry]/NXODD_name/float_value/@units": None, + "/ENTRY[entry]/NXODD_name/int_value": None, + "/ENTRY[entry]/NXODD_name/int_value/@units": None, + "/ENTRY[entry]/NXODD_name/posint_value": None, + "/ENTRY[entry]/NXODD_name/posint_value/@units": None, + "/ENTRY[entry]/NXODD_name/type": None, + "/ENTRY[entry]/definition": None, + "/ENTRY[entry]/definition/@version": None, + "/ENTRY[entry]/program_name": None, + "/ENTRY[entry]/NXODD_name/date_value": None, + "/ENTRY[entry]/optional_parent/required_child": None, + "/ENTRY[entry]/optional_parent/optional_child": None, + } + + +VALID_DATA_DICT = { + "/ENTRY[my_entry]/NXODD_name/float_value": 2.0, + "/ENTRY[my_entry]/NXODD_name/float_value/@units": "nm", + "/ENTRY[my_entry]/NXODD_name/bool_value": True, + "/ENTRY[my_entry]/NXODD_name/int_value": 2, + "/ENTRY[my_entry]/NXODD_name/int_value/@units": "eV", + "/ENTRY[my_entry]/NXODD_name/posint_value": np.array([1, 2, 3], dtype=np.int8), + "/ENTRY[my_entry]/NXODD_name/posint_value/@units": "kg", + "/ENTRY[my_entry]/NXODD_name/char_value": "just chars", + "/ENTRY[my_entry]/definition": "NXtest", + "/ENTRY[my_entry]/definition/@version": "2.4.6", + "/ENTRY[my_entry]/program_name": "Testing program", + "/ENTRY[my_entry]/NXODD_name/type": "2nd type", + "/ENTRY[my_entry]/NXODD_name/date_value": "2022-01-22T12:14:12.05018+00:00", + "/ENTRY[my_entry]/optional_parent/required_child": 1, + "/ENTRY[my_entry]/optional_parent/optional_child": 1 +} + + +@pytest.mark.parametrize("data_dict,error_message", [ + pytest.param( + alter_dict(VALID_DATA_DICT, "/ENTRY[my_entry]/NXODD_name/int_value", "1"), + ("The value at /ENTRY[my_entry]/NXODD_name/in" + "t_value should be of Python type: (, , )," + " as defined in the NXDL as NX_INT."), + id="string-instead-of-int"), + pytest.param( + alter_dict(VALID_DATA_DICT, "/ENTRY[my_entry]/NXODD_name/bool_value", "True"), + ("The value at /ENTRY[my_entry]/NXODD_name/bool_value sh" + "ould be of Python type: (, , ), as defined in the NXDL as NX_BOOLEAN."), + id="string-instead-of-bool"), + pytest.param( + alter_dict(VALID_DATA_DICT, "/ENTRY[my_entry]/NXODD_name/posint_value", -1), + ("The value at /ENTRY[my_entry]/NXODD_name/posint_value " + "should be a positive int."), + id="negative-posint"), + pytest.param( + alter_dict(VALID_DATA_DICT, "/ENTRY[my_entry]/NXODD_name/char_value", 3), + ("The value at /ENTRY[my_entry]/NXODD_name/char_value should be of Python type:" + " (, , )," + " as defined in the NXDL as NX_CHAR."), + id="int-instead-of-chars"), + pytest.param( + alter_dict(VALID_DATA_DICT, "/ENTRY[my_entry]/NXODD_name/float_value", None), + "", + id="empty-optional-field"), + pytest.param( + alter_dict(VALID_DATA_DICT, "/ENTRY[my_entry]/NXODD_name/bool_value", None), + ("The data entry, /ENTRY[my_entry]/NXODD_name/bool_value, is required and " + "hasn't been supplied by the reader."), + id="empty-required-field"), + pytest.param( + alter_dict(VALID_DATA_DICT, + "/ENTRY[my_entry]/NXODD_name/date_value", + "2022-01-22T12:14:12.05018+00:00"), + "", + id="UTC-with-+00:00"), + pytest.param( + alter_dict(VALID_DATA_DICT, + "/ENTRY[my_entry]/NXODD_name/date_value", + "2022-01-22T12:14:12.05018Z"), + "", + id="UTC-with-Z"), + pytest.param( + alter_dict(VALID_DATA_DICT, + "/ENTRY[my_entry]/NXODD_name/date_value", + "2022-01-22T12:14:12.05018-00:00"), + "The date at /ENTRY[my_entry]/NXODD_name/date_value should be a timezone aware" + " ISO8601 formatted str. For example, 2022-01-22T12:14:12.05018Z or 2022-01-22" + "T12:14:12.05018+00:00.", + id="UTC-with--00:00"), + pytest.param( + { + "/ENTRY[my_entry]/NXODD_name/float_value": [2.0], + "/ENTRY[my_entry]/NXODD_name/float_value/@units": "nm", + "/ENTRY[my_entry]/NXODD_name/bool_value": [True], + "/ENTRY[my_entry]/NXODD_name/int_value": [np.zeros(3), np.zeros(5)], + "/ENTRY[my_entry]/NXODD_name/int_value/@units": "eV", + "/ENTRY[my_entry]/NXODD_name/posint_value": [1, 2, 3], + "/ENTRY[my_entry]/NXODD_name/posint_value/@units": "kg", + "/ENTRY[my_entry]/NXODD_name/char_value": ["just chars"], + "/ENTRY[my_entry]/definition": "NXtest", + "/ENTRY[my_entry]/definition/@version": ["2.4.6"], + "/ENTRY[my_entry]/program_name": ["Testing program"], + "/ENTRY[my_entry]/NXODD_name/type": "2nd type", + "/ENTRY[my_entry]/NXODD_name/date_value": "2022-01-22T12:14:12.05018+00:00", + "/ENTRY[my_entry]/optional_parent/required_child": [1], + "/ENTRY[my_entry]/optional_parent/optional_child": [1] + }, "", + id="lists"), + pytest.param( + alter_dict(VALID_DATA_DICT, "/ENTRY[my_entry]/NXODD_name/type", "Wrong option"), + ("The value at /ENTRY[my_entry]/NXODD_name/type should be one of the following" + " strings: [1st type,2nd type,3rd type,4th type]"), + id="wrong-enum-choice"), + pytest.param( + alter_dict(VALID_DATA_DICT, "/ENTRY[my_entry]/optional_parent/required_child", None), + ("The data entry, /ENTRY[my_entry]/optional_parent/required_child, is required " + "and hasn't been supplied by the reader."), + id="atleast-one-required-child-not-provided-optional-parent"), + pytest.param( + alter_dict(alter_dict(VALID_DATA_DICT, + "/ENTRY[my_entry]/optional_parent/required_child", + None), + "/ENTRY[my_entry]/optional_parent/optional_child", + None), + (""), + id="no-child-provided-optional-parent"), + pytest.param( + VALID_DATA_DICT, + "", + id="valid-data-dict"), +]) +def test_validate_data_dict(data_dict, error_message, template, nxdl_root, request): + """Unit test for the data validation routine""" + if request.node.callspec.id in ("valid-data-dict", + "lists", + "empty-optional-field", + "UTC-with-+00:00", + "UTC-with-Z", + "no-child-provided-optional-parent"): + helpers.validate_data_dict(template, data_dict, nxdl_root) + else: + with pytest.raises(Exception) as execinfo: + helpers.validate_data_dict(template, data_dict, nxdl_root) + + assert (error_message) == str(execinfo.value) + + +@pytest.mark.parametrize("nxdl_path,expected", [ + pytest.param( + "/ENTRY/definition/@version", + (True, "/ENTRY[entry]/definition/@version"), + id="path-exists-in-dict"), + pytest.param( + "/RANDOM/does/not/@exist", + (False, ""), + id="path-does-not-exist-in-dict") +]) +def test_path_in_data_dict(nxdl_path, expected, template): + """Unit test for helper function to check if an NXDL path exists in the reader dictionary.""" + assert helpers.path_in_data_dict(nxdl_path, template) == expected diff --git a/tests/tools/dataconverter/test_readers.py b/tests/tools/dataconverter/test_readers.py new file mode 100644 index 000000000..31cc46c58 --- /dev/null +++ b/tests/tools/dataconverter/test_readers.py @@ -0,0 +1,96 @@ +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""Test cases for readers used for the DataConverter""" + +import glob +import os +from typing import List +import xml.etree.ElementTree as ET + +import pytest + +from nexusparser.tools.dataconverter.readers.base.reader import BaseReader +from nexusparser.tools.dataconverter.convert import \ + generate_template_from_nxdl, get_names_of_all_readers, get_reader +from nexusparser.tools.dataconverter.helpers import validate_data_dict + + +def get_reader_name_from_reader_object(reader) -> str: + """Helper function to find the name of a reader given the reader object.""" + for reader_name in get_names_of_all_readers(): + gotten_reader = get_reader(reader_name) + if reader.__name__ is gotten_reader.__name__: + return reader_name + return "" + + +def get_readers_file_names() -> List[str]: + """Helper function to parametrize paths of all the reader Python files""" + return glob.glob("nexusparser/tools/dataconverter/readers/*/reader.py") + + +def get_all_readers() -> List[BaseReader]: + """Scans through the reader list and returns them for pytest parametrization""" + readers = [] + + # Explicitly removing ApmReader and EmNionReader because we need to add test data + for reader in [get_reader(x) for x in get_names_of_all_readers()]: + if reader.__name__ in ("ApmReader", "EmNionReader"): + readers.append(pytest.param(reader, + marks=pytest.mark.skip(reason="Missing test data.") + )) + else: + readers.append(reader) + + return readers + + +@pytest.mark.parametrize("reader", get_all_readers()) +def test_if_readers_are_children_of_base_reader(reader): + """Test to verify that all readers are children of BaseReader""" + if reader.__name__ != "BaseReader": + assert isinstance(reader(), BaseReader) + + +@pytest.mark.parametrize("reader", get_all_readers()) +def test_has_correct_read_func(reader): + """Test if all readers have a valid read function implemented""" + assert callable(reader.read) + if reader.__name__ != "BaseReader": + assert hasattr(reader, "supported_nxdls") + + reader_name = get_reader_name_from_reader_object(reader) + + nexus_appdef_dir = os.path.join(os.getcwd(), "nexusparser", "definitions", "applications") + dataconverter_data_dir = os.path.join("tests", "data", "tools", "dataconverter") + + input_files = glob.glob(os.path.join(dataconverter_data_dir, "readers", reader_name, "*")) + for supported_nxdl in reader.supported_nxdls: + if supported_nxdl == "NXtest": + nxdl_file = os.path.join(dataconverter_data_dir, "NXtest.nxdl.xml") + else: + nxdl_file = os.path.join(nexus_appdef_dir, f"{supported_nxdl}.nxdl.xml") + + root = ET.parse(nxdl_file).getroot() + template = {} + generate_template_from_nxdl(root, template) + + read_data = reader().read(template=dict(template), file_paths=tuple(input_files)) + + assert isinstance(read_data, dict) + assert validate_data_dict(template, read_data, root) diff --git a/tests/tools/dataconverter/test_writer.py b/tests/tools/dataconverter/test_writer.py new file mode 100644 index 000000000..d5d9a7066 --- /dev/null +++ b/tests/tools/dataconverter/test_writer.py @@ -0,0 +1,52 @@ +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +"""Test cases for the Writer class used by the DataConverter""" + +import os + +import pytest +import h5py + +from nexusparser.tools.dataconverter.writer import Writer +from .test_helpers import VALID_DATA_DICT + + +@pytest.fixture(name="writer") +def fixture_writer(tmp_path): + """pytest fixture to setup Writer object to be used by tests with dummy data.""" + writer = Writer( + VALID_DATA_DICT, + os.path.join("tests", "data", "tools", "dataconverter", "NXtest.nxdl.xml"), + os.path.join(tmp_path, "test.nxs") + ) + yield writer + del writer + + +def test_init(writer): + """Test to verify Writer's initialization works.""" + assert isinstance(writer, Writer) + + +def test_write(writer): + """Test for the Writer's write function. Checks whether entries given above get written out.""" + writer.write() + test_nxs = h5py.File(writer.output_path, "r") + assert test_nxs["/my_entry/NXODD_name/int_value"][()] == 2 + assert test_nxs["/my_entry/NXODD_name/int_value"].attrs["units"] == "eV" + assert test_nxs["/my_entry/NXODD_name/posint_value"].shape == (3,) # pylint: disable=no-member