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For +the avoidance of doubt, this paragraph does not form part of the +public licenses. + +Creative Commons may be contacted at creativecommons.org. diff --git a/README.md b/README.md index 0fa5d97..7bc07e7 100644 --- a/README.md +++ b/README.md @@ -1,18 +1,31 @@ -## My Project +# job-posting-structure -TODO: Fill this README out! +Parses structured information from HTML-formatted job postings. -Be sure to: +Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. -* Change the title in this README -* Edit your repository description on GitHub -* Write in your license below and create a LICENSE file +## JobStruct class -## Security +The primary class is called JobStruct and can be initialized from +a filename, an HTML string, or an existing BeautifulSoup object that +contains parsed HTML: -See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information. + j = JobStruct.from_file("myJobPosting.html") -## License + with open("myJobPosting.html") as f: + posting_html_str = f.read() + j = JobStruct.from_string(posting_html_str) -This library is licensed under the LICENSE NAME HERE License. + posting_soup_obj = BeautifulSoup(posting_html_str, "html.parser") + j = JobStruct.from_soup(posting_soup_obj) +Once initialized, the JobStruct object has attributes for each segment +that was parsed from the job posting: + +* description +* benefits +* qualitifications +* responsibilities +* requirements +* eeo (Equal Employment Opportunity) +* other diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..fed528d --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,3 @@ +[build-system] +requires = ["setuptools"] +build-backend = "setuptools.build_meta" diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..64c00a2 --- /dev/null +++ b/requirements.txt @@ -0,0 +1 @@ +beautifulsoup4 >= 4.0.0 diff --git a/setup.cfg b/setup.cfg new file mode 100644 index 0000000..c0291f2 --- /dev/null +++ b/setup.cfg @@ -0,0 +1,24 @@ +[metadata] +name = jobstruct +author = Suraj Maharjan +author_email = mhjsuraj@amazon.com +url = https://github.com/amazon-science/job-posting-structure +version = attr: jobstruct.__version__ +license = Creative Commons Non-Commercial 4.0 +description = Parses structured information from HTML-formatted job postings. +long_description = file: README.md +long_description_content_type = text/markdown +classifiers = + Development Status :: 3 - Alpha + License :: Free for non-commercial use + Intended Audience :: Science/Research + Operating System :: OS Independent + Natural Language :: English + Programming Language :: Python :: 3 + Topic :: Scientific/Engineering + Topic :: Scientific/Engineering :: Information Analysis + +[options] +install_requires = file: requirements.txt +python_requires = >= 3.8 +setup_requires = setuptools diff --git a/src/jobstruct/__init__.py b/src/jobstruct/__init__.py new file mode 100644 index 0000000..33970d2 --- /dev/null +++ b/src/jobstruct/__init__.py @@ -0,0 +1,6 @@ +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: CC-BY-NC-4.0 + +from .jobstruct import JobStruct + +__version__ = "0.0.1" diff --git a/src/jobstruct/jobstruct.py b/src/jobstruct/jobstruct.py new file mode 100644 index 0000000..15566bf --- /dev/null +++ b/src/jobstruct/jobstruct.py @@ -0,0 +1,184 @@ +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: CC-BY-NC-4.0 + +from bs4 import BeautifulSoup + +class JobStruct: + """ + A class that represents a parsed HTML job posting, starting + from either a filename, HTML text, or a BeautifulSoup object. + The parsed segments of the job posting, available as attributes, are: + * description + * benefits + * qualitifications + * responsibilities + * requirements + * eeo (Equal Employment Opportunity) + * other + """ + + __TAGS = [ + "p", + "div", + "h1", + "h2", + "h3", + "h4", + "h5", + "h6", + ] + + __SEGMENTS = { + "description": frozenset(( + "description", + "overview", + "glance", + "summary", + "posting" + )), + "benefits": frozenset(( + "perks", + "benefits", + "offer" + )), + "qualifications": frozenset(( + "experience", + "qualification", + "qualifications", + "skills", + )), + "responsibilities": frozenset(( + "responsibilities", + "duties", + "functions", + "function(s)" + )), + "requirements": frozenset(( + "requirements", + "required", + "requirement" + )), + "eeo": frozenset(( + "equal", + "opportunity", + "employer" + )) + } + + def __init__(self, soup: BeautifulSoup = None): + """ + Segments the HTML job posting `soup` that has been parsed by BeautifulSoup, + and provides the segments as attributes. If no `soup` is provided, returns + an empty structure. + """ + self._init_segments() + if soup is not None: + self.soup: BeautifulSoup = soup + self._segment() + self._add_attributes() + + + @classmethod + def from_file(cls, filename: str) -> "JobStruct": + """ + Creates a JobStruct object from the HTML in `filename`. + """ + with open(filename) as f: + soup: BeautifulSoup = BeautifulSoup(f.read(), "html.parser") + return cls(soup) + + + @classmethod + def from_string(cls, html: str) -> "JobStruct": + """ + Creates a JobStruct object from a `string` containing HTML. + """ + soup: BeautifulSoup = BeautifulSoup(html, "html.parser") + return cls(soup) + + + @classmethod + def from_soup(cls, soup: BeautifulSoup) -> "JobStruct": + """ + Creates a JobStruct object from BeautifulSoup-parsed HTML in `soup`. + """ + return cls(soup) + + + def to_dict(self): + """ + Convert the JobStruct object to a dictionary containing the segment + attributes. + """ + return {segment: list(values) for segment, values in self.segments.items()} + + + def _init_segments(self): + """ + Initial empty list for each segment type. + """ + self.segments = {segment: list() for segment in JobStruct.__SEGMENTS.keys()} + # Other is the catch-all type for segments that don't match a keyword. + self.segments["other"] = list() + + + def _segment(self): + """ + Loop over HTML elements to find headings for each segment type and + append the elements following the heading to the segment lists. + """ + segment = "other" + for element in self.soup.body.find_all(JobStruct.__TAGS): + text = element.get_text(separator="\n").strip() + if text: + if len(text.split()) <= 5: + segment = self._classify_segment(text.lower()) + elif self._is_terminal(element): + for line in text.split("\n"): + if "equal opportunity employer" in line: + self.segments["eeo"].append(line) + else: + self.segments[segment].append(line) + + + def _classify_segment(self, text: str): + """ + Classify `text` into one of the segment types using keywords. + Defaults to "other" if no keywords were found. + """ + for segment, keywords in JobStruct.__SEGMENTS.items(): + if any(word.strip(":") in keywords for word in text.split()): + return segment + return "other" + + + def _is_terminal(self, element): + """ + """ + return all( + element.find(tag) is None + for tag in JobStruct.__TAGS + ) + + + def _add_attributes(self): + """ + Add attributes for each segment type to the returned object. + """ + for segment in self.segments.keys(): + assert not hasattr(self, segment) + setattr(self, segment, self.segments[segment]) + + + def __str__(self): + output = [] + for segment, values in self.segments.items(): + if segment != "other": + if values: + output.append(f"{segment}: [") + for value in values: + output.append(value) + output.append("]") + else: + output.append(f"{segment}: []") + return "\n".join(output) diff --git a/src/jobstruct/py.typed b/src/jobstruct/py.typed new file mode 100644 index 0000000..7ef2116 --- /dev/null +++ b/src/jobstruct/py.typed @@ -0,0 +1 @@ +# Marker file that indicates this package supports typing diff --git a/tests/jobstruct/SDE_Amazon_Robotics.html b/tests/jobstruct/SDE_Amazon_Robotics.html new file mode 100644 index 0000000..465e2b1 --- /dev/null +++ b/tests/jobstruct/SDE_Amazon_Robotics.html @@ -0,0 +1,172 @@ +SDE - Amazon Robotics - Job ID: 2406263 | Amazon.jobs +Skip to main content

SDE - Amazon Robotics

Job ID: 2406263 | Amazon.com Services LLC

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DESCRIPTION

Do you want to have a worldwide impact in Robotics? Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. We invent and scale AI systems for robotics in fulfillment.

We are seeking software engineers to help with our initial robotic deployments. This includes building computer vision systems, ML and AI models, robotic control and motion planning, and process management. It also includes end-to-end ownership of decision explanation, fault detection, monitoring, A/B testing, large scale model training, simulation, hardware integration, and more. This work spans prototypes in the lab as well as wide-deployment systems. As a software engineer, you will help plan the roadmap, design ML systems, implement, test, and monitor services in our robotic fleet.

We are open to hiring candidates to work out of one of the following locations:

North Reading, MA, USA

BASIC QUALIFICATIONS

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

PREFERRED QUALIFICATIONS

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Robotics experience along with experience with one of the following:
- * Production-level machine learning
- * Computer vision (e.g. a variety of neural network architectures using TensorFlow or MxNet, fusion with other sensors)
- * Hardware integration (e.g. hardware release cycles, heterogeneous hardware fleets)
- * Building and testing real-time or safety-critical systems

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Job details

USA, MA, North Reading

Amazon Robotics
Software Development

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Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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© 1996-2023, Amazon.com, Inc. or its affiliates
\ No newline at end of file diff --git a/tests/jobstruct/SDE_Amazon_Robotics.json b/tests/jobstruct/SDE_Amazon_Robotics.json new file mode 100644 index 0000000..617fee2 --- /dev/null +++ b/tests/jobstruct/SDE_Amazon_Robotics.json @@ -0,0 +1 @@ +{"description": ["Do you want to have a worldwide impact in Robotics? Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans\u2014at Amazon scale. We invent and scale AI systems for robotics in fulfillment.", "We are seeking software engineers to help with our initial robotic deployments. This includes building computer vision systems, ML and AI models, robotic control and motion planning, and process management. It also includes end-to-end ownership of decision explanation, fault detection, monitoring, A/B testing, large scale model training, simulation, hardware integration, and more. This work spans prototypes in the lab as well as wide-deployment systems. As a software engineer, you will help plan the roadmap, design ML systems, implement, test, and monitor services in our robotic fleet. ", "We are open to hiring candidates to work out of one of the following locations:", "North Reading, MA, USA"], "benefits": [], "qualifications": ["- 3+ years of non-internship professional software development experience", "- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience", "- Experience programming with at least one software programming language", "- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design", "- 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.", "- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience", "- Bachelor's degree in computer science or equivalent", "- Robotics experience along with experience with one of the following: ", "- * Production-level machine learning ", "- * Computer vision (e.g. a variety of neural network architectures using TensorFlow or MxNet, fusion with other sensors) ", "- * Hardware integration (e.g. hardware release cycles, heterogeneous hardware fleets) ", "- * Building and testing real-time or safety-critical systems "], "responsibilities": [], "requirements": [], "eeo": ["Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.", "Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status."], "other": ["Resources", "Interview tips", "Disability accommodations", "About Amazon", "Job ID: 2406263 | Amazon.com Services LLC", "\u00a9 1996-2023, Amazon.com, Inc. or its affiliates"]} \ No newline at end of file diff --git a/tests/jobstruct/test_sde_amazon_robotics.py b/tests/jobstruct/test_sde_amazon_robotics.py new file mode 100644 index 0000000..7f205c4 --- /dev/null +++ b/tests/jobstruct/test_sde_amazon_robotics.py @@ -0,0 +1,29 @@ +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: CC-BY-NC-4.0 + +import jobstruct +import json +import os +import sys +from pathlib import Path + +DIR = Path(os.path.realpath(os.path.dirname(__file__))) + +def test_sde_amazon_robotics(): + j = jobstruct.JobStruct.from_file(DIR / "SDE_Amazon_Robotics.html") + print(j) + with open(DIR / "SDE_Amazon_Robotics.json") as f: + true_dict = json.load(f) + assert j.to_dict() == true_dict + +def reset_test_output(): + """ + Reset test output files. + """ + j = jobstruct.JobStruct.from_file(DIR / "SDE_Amazon_Robotics.html") + with open(DIR / "SDE_Amazon_Robotics.json", "w") as f: + json.dump(j.to_dict(), f) + +if __name__ == "__main__": + if len(sys.argv) > 1 and sys.argv[1] == "reset": + reset_test_output()