Pytest plugin to keep a history of your pytest runs
Project description
pytest-history
Pytest plugin to keep history of your pytest runs
Overview
pytest-history
enables the tracking of test statuses and other metadata across multiple test runs, providing
additional insights into test behavior.
Initially, this plugin was developed specifically to identify potentially flaky tests (approximately 200) within a test suite containing over 1000 tests, where various tests exhibited inconsistent behavior by failing on alternate runs.
Purpose
- Tracking Test History: Capturing and storing historical test results, encompassing pass, fail, and other pertinent metadata.
- Identifying Flaky Tests: Enabling the identification of flaky tests by scrutinizing historical data, detecting irregularities or recurring patterns in test outcomes.
- Facilitating Debugging: Offering developers and testers insights into test stability, thereby assisting in debugging efforts and enhancing overall test reliability.
Usage
- Install the plugin using
pip install pytest-history
. - Utilize the historical data stored in the
.test-results.db
SQLite database using either thepytest-history
CLI or an SQLite client.
Configuration Options
1. INI File Setting
Users can configure the database file location by adding the following setting in their INI file:
# pytest.ini
[pytest]
pytest-history = /path/to/history.db
# pyproject.toml
[tool.pytest.ini_options]
pytest-history = "history.db"
2. Environment Variable
Another option to configure the database file location is through an environment variable:
Setting the environment variable in a Unix-based system:
export PYTEST_HISTORY_DB=/path/to/history.db
Setting the environment variable in a Windows system:
set PYTEST_HISTORY_DB=C:\path\to\history.db
3. Command-line Parameter
Users can also specify the database file location via a command-line parameter:
pytest --history-db /path/to/history.db tests/
The database file path specified should be writable by the user running pytest commands. When multiple configuration methods are used simultaneously, the command-line parameter takes precedence over the environment variable, and both take precedence over the INI file setting.
CLI
The pytest-history
command utilizes a SQLite database (default: .test-results.db
) to provide analysis and information about past test runs and their results. It offers two main subcommands: list
and flakes
.
Subcommands
list
pytest-history list
offers insights into historical data and provides two additional subcommands:results
andruns
.
subcommand results
pytest-history list results <id>
: Lists historic test results for a specific test run identified by its ID.
subcommand runs
pytest-history list runs
: Lists historic test runs.
flakes
pytest-history flakes
: Lists all flaky tests identified in the test suite.
Usage
pytest-history [options] <subcommand> [suboptions]
options
-h, --help: Show the help message and exit.
--db DB: Specify the database to be used for analyzing data (default: .test-results.db).
Examples
List historic test runs
pytest-history list runs
List historic test results for a specific run
pytest-history list results <id>
List all flaky tests
pytest-history flakes
Example Queries
Example: To find flaky tests between two distinct test runs, execute the following SQL query:
SELECT t1.testcase, t1.test_run, t2.test_run, t1.outcome, t2.outcome
FROM "test.results" t1
JOIN "test.results" t2 on t1.testcase = t2.testcase AND (t1.test_run = 1 AND t2.test_run = 2)
WHERE (t1.outcome = 'passed' AND t2.outcome = 'failed')
OR (t1.outcome = 'failed' AND t2.outcome = 'passed')
GROUP BY t1.testcase
ORDER BY t1.testcase;
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