doc-cov

doc-cov is a tool for measuring docstring coverage of Python project


License
MIT
Install
pip install doc-cov==0.3.0

Documentation

doc-cov

doc-cov is a tool for measuring docstring coverage of Python project.

  • Python versions >= 3.6

Quick start

  1. Install doc-cov from pip.
  2. Use doccov PROJECT_PATH
$ doccov tests/sample_project
function     3 /   5 60.00%

Options

Target object

doc-cov can measure docstring coverage of functions, classes and modules.

functions (default, -f)

$ doccov tests/sample_project -f
function     3 /   5 60.00%

classes -c

$ doccov tests/sample_project -c
class        2 /   2 100.00%

modules -m

$ doccov tests/sample_project -m
module       3 /   7 42.86%

Output

str (default, --output str)

$ doccov tests/sample_project -fmc --output str
class        2 /   2 100.00%
module       3 /   7 42.86%
function     3 /   5 60.00%

csv --output csv

$ doccov tests/sample_project -fmc --output csv
coverage,class,2,2,100.00%
coverage,module,3,7,42.86%
coverage,function,3,5,60.00%

Target

Print coverage of whole (default)

$ doccov tests/sample_project
function     3 /   5 60.00%

Print all coverage of modules --all

$ doccov tests/sample_project --all
=============================
module_fulldoc
-----------------------------
function     1 /   1 100.00%
=============================
package_A
-----------------------------
function     0 /   0 -
=============================
package_A.module_fulldoc
-----------------------------
function     1 /   1 100.00%
=============================
package_B
-----------------------------
function     0 /   0 -
=============================
package_B.module_shortdoc
-----------------------------
function     1 /   1 100.00%
=============================
package_B.package_B_1
-----------------------------
function     0 /   0 -
=============================
package_B.package_B_1.module_nodoc
-----------------------------
function     0 /   2 0.00%
=============================
coverage
-----------------------------
function     3 /   5 60.00%

Report to pull request

Add comment to github pull request.

$ doccov <project> -fmc --output csv > doccov.csv
$ GITHUB_TOKEN=XXXXX doccov-report doccov.csv

CircleCi
Add pull request comment using circle-ci environment.

Other
Required following environment

  • PROJECT_USERNAME
  • PROJECT_REPONAME
  • PR_NUMBER