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111 lines
3.7 KiB
Python
Executable File
111 lines
3.7 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Analyze the test outcomes from a full CI run.
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This script can also run on outcomes from a partial run, but the results are
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less likely to be useful.
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"""
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import argparse
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import sys
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import traceback
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import check_test_cases
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class Results:
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"""Process analysis results."""
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def __init__(self):
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self.error_count = 0
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self.warning_count = 0
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@staticmethod
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def log(fmt, *args, **kwargs):
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sys.stderr.write((fmt + '\n').format(*args, **kwargs))
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def error(self, fmt, *args, **kwargs):
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self.log('Error: ' + fmt, *args, **kwargs)
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self.error_count += 1
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def warning(self, fmt, *args, **kwargs):
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self.log('Warning: ' + fmt, *args, **kwargs)
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self.warning_count += 1
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class TestCaseOutcomes:
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"""The outcomes of one test case across many configurations."""
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# pylint: disable=too-few-public-methods
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def __init__(self):
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# Collect a list of witnesses of the test case succeeding or failing.
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# Currently we don't do anything with witnesses except count them.
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# The format of a witness is determined by the read_outcome_file
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# function; it's the platform and configuration joined by ';'.
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self.successes = []
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self.failures = []
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def hits(self):
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"""Return the number of times a test case has been run.
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This includes passes and failures, but not skips.
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"""
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return len(self.successes) + len(self.failures)
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def analyze_coverage(results, outcomes):
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"""Check that all available test cases are executed at least once."""
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available = check_test_cases.collect_available_test_cases()
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for key in available:
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hits = outcomes[key].hits() if key in outcomes else 0
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if hits == 0:
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# Make this a warning, not an error, as long as we haven't
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# fixed this branch to have full coverage of test cases.
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results.warning('Test case not executed: {}', key)
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def analyze_outcomes(outcomes):
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"""Run all analyses on the given outcome collection."""
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results = Results()
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analyze_coverage(results, outcomes)
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return results
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def read_outcome_file(outcome_file):
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"""Parse an outcome file and return an outcome collection.
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An outcome collection is a dictionary mapping keys to TestCaseOutcomes objects.
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The keys are the test suite name and the test case description, separated
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by a semicolon.
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"""
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outcomes = {}
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with open(outcome_file, 'r', encoding='utf-8') as input_file:
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for line in input_file:
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(platform, config, suite, case, result, _cause) = line.split(';')
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key = ';'.join([suite, case])
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setup = ';'.join([platform, config])
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if key not in outcomes:
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outcomes[key] = TestCaseOutcomes()
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if result == 'PASS':
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outcomes[key].successes.append(setup)
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elif result == 'FAIL':
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outcomes[key].failures.append(setup)
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return outcomes
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def analyze_outcome_file(outcome_file):
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"""Analyze the given outcome file."""
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outcomes = read_outcome_file(outcome_file)
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return analyze_outcomes(outcomes)
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def main():
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try:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument('outcomes', metavar='OUTCOMES.CSV',
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help='Outcome file to analyze')
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options = parser.parse_args()
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results = analyze_outcome_file(options.outcomes)
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if results.error_count > 0:
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sys.exit(1)
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except Exception: # pylint: disable=broad-except
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# Print the backtrace and exit explicitly with our chosen status.
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traceback.print_exc()
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sys.exit(120)
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if __name__ == '__main__':
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main()
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