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Parallel unit test runner with coverage support

Project description

unittest-parallel

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unittest-parallel is a parallel unit test runner for Python with coverage support.

To run unittest-parallel, specify the directory containing your unit tests with the "-s" argument and your package's top-level directory using the "-t" argument:

unittest-parallel -t . -s tests

By default, unittest-parallel runs unit tests on all CPU cores available.

To run your unit tests with coverage, add either the "--coverage" option (for line coverage) or the "--coverage-branch" for line and branch coverage.

unittest-parallel -t . -s tests --coverage-branch

Links

Example output

$ unittest-parallel -v -t src -s src/tests --coverage-branch --coverage-fail-under 100

test_array (tests.test_encode.TestDecodeQueryString) ... ok
test_array_initial_non_zero (tests.test_encode.TestDecodeQueryString) ... ok
test_negative_index (tests.test_encode.TestDecodeQueryString) ... ok
...
test_struct_empty (tests.test_schema.TestValidateTypeModelTypes) ... ok
test_struct_base (tests.test_schema.TestValidateTypeModelTypes) ... ok
test_struct_inconsistent_type_name (tests.test_schema.TestValidateTypeModelTypes) ... ok

----------------------------------------------------------------------
Ran 298 tests in 0.708s

OK

Name                                 Stmts   Miss Branch BrPart  Cover
----------------------------------------------------------------------
src/schema_markdown/__init__.py          5      0      0      0   100%
src/schema_markdown/__main__.py          3      0      0      0   100%
src/schema_markdown/encode.py           84      0     60      0   100%
...
src/tests/test_main.py                 179      0      4      0   100%
src/tests/test_parser.py               363      0      0      0   100%
src/tests/test_schema.py               828      0      0      0   100%
----------------------------------------------------------------------
TOTAL                                 2412      0    571      0   100%

Total coverage is 100.00%

Usage

usage: unittest-parallel [-h] [-v] [-q] [-b] [-j COUNT] [--version] [-s START]
                         [-p PATTERN] [-t TOP] [--coverage]
                         [--coverage-branch] [--coverage-rcfile RCFILE]
                         [--coverage-include PAT] [--coverage-omit PAT]
                         [--coverage-source SRC] [--coverage-html DIR]
                         [--coverage-xml FILE] [--coverage-fail-under MIN]

options:
  -h, --help            show this help message and exit
  -v, --verbose         Verbose output
  -q, --quiet           Quiet output
  -b, --buffer          Buffer stdout and stderr during tests
  -j COUNT, --jobs COUNT
                        The number of test processes (default is 0, all cores)
  --version             show version number and quit

unittest options:
  -s START, --start-directory START
                        Directory to start discovery ('.' default)
  -p PATTERN, --pattern PATTERN
                        Pattern to match tests ('test*.py' default)
  -t TOP, --top-level-directory TOP
                        Top level directory of project (defaults to start
                        directory)

coverage options:
  --coverage            Run tests with coverage
  --coverage-branch     Run tests with branch coverage
  --coverage-rcfile RCFILE
                        Specify coverage configuration file
  --coverage-include PAT
                        Include only files matching one of these patterns.
                        Accepts shell-style (quoted) wildcards.
  --coverage-omit PAT   Omit files matching one of these patterns. Accepts
                        shell-style (quoted) wildcards.
  --coverage-source SRC
                        A list of packages or directories of code to be
                        measured
  --coverage-html DIR   Generate coverage HTML report
  --coverage-xml FILE   Generate coverage XML report
  --coverage-fail-under MIN
                        Fail if coverage percentage under min

How it works

unittest-parallel uses Python's built-in unit test discovery to find all of the TestCase classes in your project. It then runs all tests in a Python multi-processing pool of the requested size.

Development

This project is developed using Python Build.

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