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docstring-gen-0.3.0


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توضیحات

Generate docstrings using OpenAI's Codex model.
ویژگی مقدار
سیستم عامل -
نام فایل docstring-gen-0.3.0
نام docstring-gen
نسخه کتابخانه 0.3.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده airt
ایمیل نویسنده info@airt.ai
آدرس صفحه اصلی https://github.com/airtai/docstring-gen
آدرس اینترنتی https://pypi.org/project/docstring-gen/
مجوز Apache Software License 2.0
docstring-gen ================ <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! --> <b>Instantly improve the documentation of your Python code with Codex.</b> ------------------------------------------------------------------------ ![PyPI](https://img.shields.io/pypi/v/docstring-gen.png) ![PyPI - Downloads](https://img.shields.io/pypi/dm/docstring-gen.png) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/docstring-gen.png) ![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/airtai/docstring-gen/test.yaml) ![CodeQL](https://github.com/airtai/docstring-gen//actions/workflows/codeql.yml/badge.svg) ![Dependency Review](https://github.com/airtai/docstring-gen//actions/workflows/dependency-review.yml/badge.svg) ![GitHub](https://img.shields.io/github/license/airtai/docstring-gen.png) ------------------------------------------------------------------------ **docstring-gen** is an easy-to-use Python library that uses <a href = "https://beta.openai.com/docs/models/codex" target="_blank">OpenAI’s Codex model</a> to automatically generate <a href="https://google.github.io/styleguide/pyguide.html" target = "_blank">Google-style docstrings</a> for Python codebase. The library is capable of reading both Jupyter notebooks and Python files, and seamlessly adds meaningful docstrings to classes and functions that lack documentation. By using **docstring-gen**, developers can automatically generate docstrings for their codebase, resulting in time savings and improved documentation quality. ## Install **docstring-gen** can be installed by running the command below. This package requires Python 3.7 or higher to work. ``` shell pip install docstring-gen ``` If the installation was successful, you should now have **docstring-gen** installed on your system. To see a full list of settings, run `docstring_gen --help` If you’re excited to try the latest version, you can install it directly from GitHub by using the command: `pip install git+https://github.com/airtai/docstring-gen` ## How to use The **docstring-gen** library uses OpenAI’s Codex model to generate docstrings for your Python classes and functions. In order to use the library, you’ll need to <a href="https://beta.openai.com/account/api-keys" target="_blank">create an API key for OpenAI</a>. Once you have your API key, store it in the **OPENAI_API_KEY** environment variable. This is a necessary step for the library to work. To get started right away with sensible defaults, run: ``` shell docstring_gen {source_file_or_directory} ``` This will automatically add meaningful, Google-style docstrings to the Python classes and functions in the {source_file_or_directory} that do not already have one. For example, a function like below without the docstring: ``` python def concatenate_strings(s1: str, s2: str) -> str: if not isinstance(s1, str) or not isinstance(s2, str): raise TypeError("Both arguments should be strings.") return s1 + s2 ``` will become similar to: ``` python def concatenate_strings(s1: str, s2: str) -> str: """Concatenate two strings. Args: s1: First string s2: Second string Returns: The concatenated string Raises: TypeError: If s1 or s2 is not a string !!! note The above docstring is autogenerated by docstring-gen library (https://docstring-gen.airt.ai) """ if not isinstance(s1, str) or not isinstance(s2, str): raise TypeError("Both arguments should be strings.") return s1 + s2 ``` If you wish to regenerate the docstrings, you can re-run the command with the `-f` flag, which will remove the previous auto-generated docstrings and replace them with new ones. ``` shell docstring_gen {source_file_or_directory} -f ``` **Note**: The default behavior of the library is to add docstrings only to functions and classes that are missing them. So, if you do not provide the `-f` flag when re-running the command, the library will not replace previously auto-generated docstrings, assuming that the functions already have them. If you prefer not to include the text **“autogenerated by docstring-gen library”** in the generated docstrings, you can use the `--no-include-auto-gen-txt` flag when running the command. ``` shell docstring_gen {source_file_or_directory} -f --no-include-auto-gen-txt ``` Now the docstring for the above function will look similar to: ``` python def concatenate_strings(s1: str, s2: str) -> str: """Concatenate two strings. Args: s1: First string s2: Second string Returns: The concatenated string Raises: TypeError: If s1 or s2 is not a string """ if not isinstance(s1, str) or not isinstance(s2, str): raise TypeError("Both arguments should be strings.") return s1 + s2 ``` **Important**: The library uses the text **“autogenerated by docstring-gen library”** to identify which docstrings were generated by the library. When the `--no-include-auto-gen-txt` flag is used, this text will not be included in the generated docstrings. As a result, when re-running the command with the `-f` flag, these docstrings will not be replaced.” Alternatively, you can manually delete the **“autogenerated by docstring-gen library”** (starting from the !!! note until the end) text from the classes and functions for which you think the auto-generated docstring is appropriate, and then re-run the command using the `-f` flag to update the remaining auto-generated docstrings. In addition to the `-f` and `--no-include-auto-gen-txt` flags, you can also customize the behavior by adjusting other parameters such as `--model`, `--temperature`, etc., For more information on these options and how to use them, please refer to the <a href="https://beta.openai.com/docs/api-reference/completions/create" target="_blank">OpenAI’s documentation</a>. ### Jupyter notebook extension We have created a user-friendly notebook extension for the docstring-gen library. This extension provides a convenient way to document your code cell-by-cell, rather than having to document the entire notebook all at once. To install the extension, simply run the following commands in your terminal: **Note**: Please ensure <a href="https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/install.html" target="_blank">jupyter-contrib-nbextensions</a>. is installed before installing the docstring-gen library extension ``` shell jupyter nbextension install https://github.com/airtai/jupyter-docstring-gen/archive/main.zip --user jupyter nbextension enable jupyter-docstring-gen-main/jupyter-docstring-gen ``` After successful installation, you will see a new button on your jupyter notebook toolbar. This button allows you to easily generate docstrings for your Python code and improve your documentation. ![](https://raw.githubusercontent.com/airtai/docstring-gen/main/nbs/images/docstring-gen-extension-btn.png) For more detailed information, please refer to this <a href="https://github.com/airtai/jupyter-docstring-gen" target="_blank">link</a>. ## Copyright Copyright © 2023 onwards airt technologies ltd, Inc. ## License This project is licensed under the terms of the <a href="https://github.com/airtai/docstring-gen/blob/main/LICENSE" target="_blank">Apache License 2.0</a>


نیازمندی

مقدار نام
>=5.7.1 nbformat
>=0.7.0 typer[all]
>=0.27.2 openai
==0.2.2 nbdev-mkdocs
==1.7.4 bandit
==1.14.0 semgrep
==7.2.1 pytest
==23.1.0 black
==1.0.1 mypy
==1.4.2 mkdocs
==0.20.0 mkdocstrings[python]
==9.1.1 mkdocs-material
==0.6.0 mkdocs-literate-nav
==0.3.5 mkdocs-section-index
==3.1.1 configupdater
==0.24.1 griffe
==0.17.21 ruamel.yaml
==1.32.0 playwright
==2.21.0 pre-commit
==1.4.0 detect-secrets


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl docstring-gen-0.3.0:

    pip install docstring-gen-0.3.0.whl


نصب پکیج tar.gz docstring-gen-0.3.0:

    pip install docstring-gen-0.3.0.tar.gz