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version: 2 | ||
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build: | ||
os: "ubuntu-22.04" | ||
tools: | ||
python: "3" | ||
jobs: | ||
post_create_environment: | ||
- pip install -r requirements_dev.txt | ||
- pip install sphinx | ||
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sphinx: | ||
configuration: docs/source/conf.py | ||
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# Optionally build your docs in additional formats such as PDF and ePub | ||
formats: | ||
- epub |
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# Minimal makefile for Sphinx documentation | ||
# | ||
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# You can set these variables from the command line, and also | ||
# from the environment for the first two. | ||
SPHINXOPTS ?= | ||
SPHINXBUILD ?= sphinx-build | ||
SOURCEDIR = source | ||
BUILDDIR = build | ||
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# Put it first so that "make" without argument is like "make help". | ||
help: | ||
@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) | ||
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.PHONY: help Makefile | ||
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# Catch-all target: route all unknown targets to Sphinx using the new | ||
# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). | ||
%: Makefile | ||
@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) |
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=============== | ||
Acknowledgement | ||
=============== | ||
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sqlalchemy-teradata is a fork of sqlalchemy-vertica, which is a fork of sqlalchemy-redshift, which is a fork of sqlalchemy-snowflake. All of these projects have been invaluable in the development of sqlalchemy-teradata. | ||
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pandas: http://pandas.pydata.org/ |
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============= | ||
API Reference | ||
============= | ||
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exceltosqlserver.ExcelToDB | ||
--------------------------- | ||
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.. .. autoclass:: exceltomysql.exceltoDBtable | ||
.. :members: | ||
.. | ||
.. automodule:: exceltosqlserver.exceltosqlserver | ||
:members: ExcelToDB | ||
:undoc-members: | ||
:show-inheritance: |
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# Configuration file for the Sphinx documentation builder. | ||
# | ||
# This file only contains a selection of the most common options. For a full | ||
# list see the documentation: | ||
# https://www.sphinx-doc.org/en/master/usage/configuration.html | ||
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# -- Path setup -------------------------------------------------------------- | ||
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# If extensions (or modules to document with autodoc) are in another directory, | ||
# add these directories to sys.path here. If the directory is relative to the | ||
# documentation root, use os.path.abspath to make it absolute, like shown here. | ||
# | ||
import sys | ||
from pathlib import Path | ||
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current_dir = Path(__file__).parent.absolute() | ||
docs_dir = current_dir.parent.absolute() | ||
home_dir = docs_dir.parent.absolute() | ||
src_dir = home_dir / "exceltosqlserver" | ||
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# go up one level from /docs/ to the package root | ||
sys.path.insert(0, str(home_dir)) | ||
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autodoc_mock_imports = [ | ||
"sqlalchemy", | ||
"pandas", | ||
"pyodbc", | ||
"socket", | ||
"pyufunc" | ||
] | ||
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# -- Project information ----------------------------------------------------- | ||
project = 'exceltosqlserver' | ||
copyright = '2020-, Xiangyong Luo' | ||
author = 'Xiangyong Luo' | ||
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# The full version, including alpha/beta/rc tags | ||
release = '0.2.5' | ||
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# -- General configuration --------------------------------------------------- | ||
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# Add any Sphinx extension module names here, as strings. They can be | ||
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom | ||
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# -- Docstring preprocessing for autodoc | ||
# autodoc_typehints = "both" | ||
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extensions = ['sphinx.ext.autodoc', 'sphinx.ext.napoleon'] | ||
language = "en" | ||
# needs_sphinx = "6" # same value as pinned in /docs/requirements.txt | ||
root_doc = "index" | ||
source_suffix = {'.rst': 'restructuredtext'} | ||
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# # Napoleon settings | ||
# napoleon_google_docstring = True | ||
# napoleon_numpy_docstring = True | ||
# napoleon_include_init_with_doc = True | ||
# napoleon_include_private_with_doc = True | ||
# napoleon_include_special_with_doc = True | ||
# napoleon_use_admonition_for_examples = False | ||
# napoleon_use_admonition_for_notes = False | ||
# napoleon_use_admonition_for_references = False | ||
# napoleon_use_ivar = True | ||
# napoleon_use_param = True | ||
# napoleon_use_rtype = True | ||
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# pygments_style = "vs" | ||
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# Add any paths that contain templates here, relative to this directory. | ||
templates_path = [] | ||
html_static_path = [] | ||
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# html_theme = "sphinx_rtd_theme" | ||
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# -- Options for EPUB output | ||
epub_show_urls = 'footnote' |
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exceltosqlserver | ||
==================================== | ||
| **Authors**: Xiangyong Luo | ||
| **Email**: [email protected] | ||
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exceltosqlserver is a tool to convert excel files (.xls, .xlsx, .csv) to mysql database. | ||
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**If you use exceltosqlserver in your research, please cite: https://github.com/xyluo25/exceltosqlserver** | ||
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**Package dependencies** | ||
------------------------ | ||
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* [X] sqlalchemy | ||
* [X] pandas | ||
* [X] pyodbc | ||
* [X] pyufunc | ||
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**Call for Contributions** | ||
-------------------------- | ||
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The exceltosqlserver project welcomes your expertise and enthusiasm! | ||
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Small improvements or fixes are always appreciated. If you are considering larger contributions to the source code, please contact us through email: | ||
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Xiangyong Luo : [email protected] | ||
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Writing code isn't the only way to contribute to exceltosqlserver. You can also: | ||
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* review pull requests | ||
* help us stay on top of new and old issues | ||
* develop tutorials, presentations, and other educational materials | ||
* develop graphic design for our brand assets and promotional materials | ||
* translate website content | ||
* help with outreach and onboard new contributors | ||
* write grant proposals and help with other fundraising efforts | ||
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For more information about the ways you can contribute to exceltosqlserver, visit [our GitHub](https://github.com/xyluo25/exceltosqlserver). If you' re unsure where to start or how your skills fit in, reach out! You can ask by opening a new issue or leaving a comment on a relevant issue that is already open on GitHub. | ||
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Contents | ||
==================================== | ||
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.. toctree:: | ||
:maxdepth: 2 | ||
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installation | ||
quick-start | ||
api | ||
acknowledgement | ||
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Installation | ||
============ | ||
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You can install the latest release of exceltosqlserver at `PyPI`_ via `pip`_: | ||
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.. code-block:: python | ||
pip install exceltosqlserver | ||
By running the command above, the exceltosqlserver package along with required dependency packages | ||
(`sqlalchemy`_, `pandas`_) will be installed to your computer (if they have not been installed yet). | ||
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.. _`PyPI`: https://pypi.org/project/exceltosqlserver | ||
.. _`pip`: https://packaging.python.org/key_projects/#pip | ||
.. _`sqlalchemy`: https://github.com/sqlalchemy/sqlalchemy | ||
.. _`pandas`: https://github.com/pandas-dev/pandas | ||
.. _`our repository`: https://github.com/xyluo25/exceltosqlserver | ||
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=========== | ||
Quick Start | ||
=========== | ||
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In this section, some examples are provided to quickly show how to use exceltosqlserver. | ||
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Simple Example | ||
============== | ||
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.. code-block:: python | ||
from exceltosqlserver import ExcelToDB, hostname, local_ip | ||
# Step 1, prepare your input parameters | ||
yourFile = "test01.xls" # available for xlsx, xls,csv | ||
yourUsrID = "" | ||
yourPWD = "" | ||
yourDBname= "" | ||
rename_table = "" # Use your filename as table name to MySQL Server or user define their preferred table name. e.g. : "test" | ||
# get your local host name | ||
# this will return your local computer name for your MySQL server database | ||
host_name = hostname | ||
# get your local ip address | ||
# this will return your local ip address (if your sql server can be accessed by DNS) | ||
IP = local_ip | ||
yourHostOrIP = "localhost" # you need to change your host if needed, dns: local ip address | ||
# Step 2, save your data onto MySQL | ||
ex = ExcelToDB(yourFile, yourHoseOrIP, yourUsrID, yourPWD, yourDBname, rename_table) | ||
ex.save2db() | ||
# output: | ||
# Successfully load excel data... | ||
# Secessfully connected to SQL Server... | ||
# Secessfully saved 'yourtable' to SQL Server... | ||