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Utility for examining python source files to ensure proper documentation. Lists missing docstrings, and calculates overall docstring coverage percentage rating

Project description


If the health of your documentation is in dire straits, `docstr-coverage` will see you now.

`docstr-coverage` is a simple tool that lets you measure your Python source code's
[docstring]( coverage. It can show you which of your functions,
classes, methods, and modules don't have docstrings. It also provide statistics about overall docstring coverage for individual
files, and for your entire project.

* **Source:**
* **Documentation:** [](


>>> HunterMcGushion$ docstr-coverage /docstr_coverage/

File: "docstr_coverage/"
- No module docstring
- No docstring for `readme`
Needed: 2; Found: 0; Missing: 2; Coverage: 0.0%

File: "docstr_coverage/docstr_coverage/"
- No module docstring
Needed: 1; Found: 0; Missing: 1; Coverage: 0.0%

File: "docstr_coverage/docstr_coverage/"
- No docstring for `DocStringCoverageVisitor.__init__`
Needed: 11; Found: 10; Missing: 1; Coverage: 90.9%

Overall statistics for 3 files:
Docstrings needed: 14; Docstrings found: 10; Docstrings missing: 4
Total docstring coverage: 71.4%; Grade: Very good

How Do I Use It?

#### Command-line Tool
General usage is: `docstr-coverage <path to dir or module> [options]`

To test a single module, named ``, run:

$ docstr-coverage

To test a directory (recursively), just supply the directory `some_project/src` instead:

$ docstr-coverage some_project/src

##### Options:
* *--skipmagic, -m* - Ignore all magic methods (like `__init__`, and `__str__`)
* *--skipfiledoc, -f* - Ignore module docstrings (at the top of files)
* *--exclude=\<regex\>, -e \<regex\>* - Filepath pattern to exclude from analysis
* To exclude the contents of a virtual environment `env` and your `tests` directory, run:
<br>```$ docstr-coverage some_project/ -e "env/*|tests/*"```
* *--verbose=\<level\>, -v \<level\>* - Set verbosity level (0-3)
* 0 - Silence
* 1 - Print overall statistics
* 2 - Also print individual statistics for each file
* 3 - Also print missing docstrings (function names, class names, etc.)

#### Package in Your Project
You can also use `docstr-coverage` as a part of your project by importing it thusly:

from docstr_coverage import get_docstring_coverage
my_coverage = get_docstring_coverage(['some_dir/', 'some_dir/'])

##### Arguments:
* Required arg: `filenames` \<list of string filenames\>
* Optional kwargs: `skip_magic` \<bool\>, `skip_file_docstring` \<bool\>, `verbose` \<int (0-3)\>
* For more info on `get_docstring_coverage` and its parameters, please see its [documentation](

##### Results:
```get_docstring_coverage``` returns two dicts: 1) stats for each file, and 2) total stats.
For more info, please see the `get_docstring_coverage` [documentation](

Why Should I Use It?
* Thorough documentation is important to help others (and even yourself) understand your code
* As a developer, improve your code's maintainability for when you need to make updates and fix bugs
* As a user, instantly know how easy it's going to be to understand a new library
* If its documentation coverage is low, you may need to figure a lot out for yourself


pip install docstr-coverage

If you like being on the cutting-edge, and you want all the latest developments, run:

pip install git+

Special Thanks
Thank you to Alexey "DataGreed" Strelkov, and James Harlow for doing all the hard work.
`docstr-coverage` simply revives and brings their efforts to Python 3. See 'THANKS.txt' for more information.

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