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https://github.com/corvax-team/ss14-wl.git
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Connor HuffineandGitHub
478c557619
* Add heisendetector * Add abort if too many issues * add autogenerated label
70 lines
2.2 KiB
Python
70 lines
2.2 KiB
Python
#!/usr/bin/env python
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"""
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This script ingests XML files in an nunit format and extracts failed tests.
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This script is intended to be part of a CI/CD pipeline to detect failures.
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"""
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import os
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import json
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import xmltodict
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def testcase_proc(json_input):
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"""Recursively process a test-case to extract all failures.
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This function is a helper that expects to be fed with extracted test-case elements.
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"""
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if isinstance(json_input, dict):
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for key, value in json_input.items():
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if key == '@result' and value == 'Failed':
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print(json_input)
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yield json_input
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elif isinstance(json_input, list):
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for item in json_input:
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yield from testcase_proc(item)
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def item_generator(json_input):
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"""Recursively process the test report extract all failures."""
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if isinstance(json_input, dict):
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for key, value in json_input.items():
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if key == 'test-case':
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yield from testcase_proc(value)
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else:
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yield from item_generator(value)
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elif isinstance(json_input, list):
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for item in json_input:
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yield from item_generator(item)
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def extract(filename):
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"""Extract all failures from an XML file."""
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with open(filename, 'r', encoding='utf-8') as xml_file:
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xml_data = xmltodict.parse(xml_file.read())
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failures = []
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for item in item_generator(xml_data['test-run']):
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failures.append(item)
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return failures
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all_fails = []
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all_fails.extend(extract('./test_results/logs/Content.Tests.xml'))
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all_fails.extend(extract('./test_results/logs/Content.IntegrationTests.xml'))
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# Create the list of processed failures to create a matrix for later jobs.
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matrix = []
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for fail in all_fails:
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matrix.append(
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{
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'name': fail['@name'],
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'fullname': fail['@fullname'],
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'failure': fail['failure']['message'],
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'output': fail['output']
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}
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)
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# Clean up the output to ensure that no '@' symbols escape.
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json_data = json.dumps(matrix).replace('@', '')
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# Write to the action step output
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with open(os.environ.get('GITHUB_OUTPUT'), 'a') as f:
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f.write(f'matrix={json_data}\ncount={len(matrix)}\n')
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