ansible/docs/docsite/rst/dev_guide/testing_sanity.rst
Sandra McCann ceb474bb9e [WIP] Backport/2.7/batch port (#45859)
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* docs: Clarify include_task v import_tasks with conditionals (#43856)
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* Add single quotes around package name (#45152)
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* adds license details to dev guide pages (#45574)
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* FAQ: fix a typo, add link to 'vars' lookup (#42412)
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* Improve the local toctree (and title) (#45590)
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* Add undocumented configuration parameter and explain in porting guide (#36059)
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* Simplify PPA installation for Ubuntu (#45690)
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* adding git+ssh uri scheme (#36025)
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* Add workaround for non-standard kerberos environments (#41465)
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Sanity Tests

Topics

Sanity tests are made up of scripts and tools used to perform static code analysis. The primary purpose of these tests is to enforce Ansible coding standards and requirements.

Tests are run with ansible-test sanity. All available tests are run unless the --test option is used.

Available Tests

Tests can be listed with ansible-test sanity --list-tests.

This list is a combination of two different categories of tests, "Code Smell" and "Built-in".

Code Smell Tests

Miscellaneous scripts used for enforcing coding standards and requirements, identifying trip hazards, etc.

These tests are listed and accessed by script name. There is no actual test named code-smell.

All executable scripts added to the code-smell directory are automatically detected and executed by ansible-test.

Scripts in the directory which fail can be skipped by adding them to skip.txt. This is useful for scripts which identify issues that have not yet been resolved in the code base.

Files tested are specific to the individual test scripts and are not affected by command line arguments.

Built-in Tests

These tests are integrated directly into ansible-test. All files relevant to each test are tested unless specific files are specified.

A full list of tests can be obtained by doing ansible-test sanity --list-tests.

ansible-doc

Verifies that ansible-doc can parse module documentation on all supported python versions.

pep8

Python static analysis for PEP 8 style guideline compliance. See testing_pep8 for more information.

pylint

Python static analysis for common programming errors.

rstcheck

Check reStructuredText files for syntax and formatting issues.

shellcheck

Static code analysis for shell scripts using the excellent shellcheck tool.

validate-modules

Analyze modules for common issues in code and documentation. See testing_validate-modules for more information.

yamllint

Check YAML files for syntax and formatting issues.