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Replacement for the --resultlog option, focused in simplicity and extensibility

Project description

python version anaconda ci black

Replacement for the --resultlog option, focused in simplicity and extensibility.

Usage

Install pytest-reportlog as a test requirement in your test environment.

The --report-log=FILE option writes report logs into a file as the test session executes.

Each line of the report log contains a self contained JSON object corresponding to a testing event, such as a collection or a test result report. The file is guaranteed to be flushed after writing each line, so systems can read and process events in real-time.

Each JSON object contains a special key $report_type, which contains a unique identifier for that kind of report object. For future compatibility, consumers of the file should ignore reports they don’t recognize, as well as ignore unknown properties/keys in JSON objects that they do know, as future pytest versions might enrich the objects with more properties/keys.

Example

Consider this file:

# content of test_report_example.py


def test_ok():
    assert 5 + 5 == 10


def test_fail():
    assert 4 + 4 == 1
$ pytest test_report_example.py -q --report-log=log.json
.F                                                                   [100%]
================================= FAILURES =================================
________________________________ test_fail _________________________________

    def test_fail():
>       assert 4 + 4 == 1
E       assert (4 + 4) == 1

test_report_example.py:8: AssertionError
------------------- generated report log file: log.json --------------------
1 failed, 1 passed in 0.12s

The generated log.json will contain a JSON object per line:

$ cat log.json
{"pytest_version": "5.2.2", "$report_type": "SessionStart"}
{"nodeid": "", "outcome": "passed", "longrepr": null, "result": null, "sections": [], "$report_type": "CollectReport"}
{"nodeid": "test_report_example.py", "outcome": "passed", "longrepr": null, "result": null, "sections": [], "$report_type": "CollectReport"}
{"nodeid": "test_report_example.py::test_ok", "location": ["test_report_example.py", 0, "test_ok"], "keywords": {"test_ok": 1, "pytest-reportlog": 1, "test_report_example.py": 1}, "outcome": "passed", "longrepr": null, "when": "setup", "user_properties": [], "sections": [], "duration": 0.0, "$report_type": "TestReport"}
{"nodeid": "test_report_example.py::test_ok", "location": ["test_report_example.py", 0, "test_ok"], "keywords": {"test_ok": 1, "pytest-reportlog": 1, "test_report_example.py": 1}, "outcome": "passed", "longrepr": null, "when": "call", "user_properties": [], "sections": [], "duration": 0.0, "$report_type": "TestReport"}
{"nodeid": "test_report_example.py::test_ok", "location": ["test_report_example.py", 0, "test_ok"], "keywords": {"test_ok": 1, "pytest-reportlog": 1, "test_report_example.py": 1}, "outcome": "passed", "longrepr": null, "when": "teardown", "user_properties": [], "sections": [], "duration": 0.00099945068359375, "$report_type": "TestReport"}
{"nodeid": "test_report_example.py::test_fail", "location": ["test_report_example.py", 4, "test_fail"], "keywords": {"test_fail": 1, "pytest-reportlog": 1, "test_report_example.py": 1}, "outcome": "passed", "longrepr": null, "when": "setup", "user_properties": [], "sections": [], "duration": 0.0, "$report_type": "TestReport"}
{"nodeid": "test_report_example.py::test_fail", "location": ["test_report_example.py", 4, "test_fail"], "keywords": {"test_fail": 1, "pytest-reportlog": 1, "test_report_example.py": 1}, "outcome": "failed", "longrepr": {"reprcrash": {"path": "D:\\projects\\pytest-reportlog\\test_report_example.py", "lineno": 6, "message": "assert (4 + 4) == 1"}, "reprtraceback": {"reprentries": [{"type": "ReprEntry", "data": {"lines": ["    def test_fail():", ">       assert 4 + 4 == 1", "E       assert (4 + 4) == 1"], "reprfuncargs": {"args": []}, "reprlocals": null, "reprfileloc": {"path": "test_report_example.py", "lineno": 6, "message": "AssertionError"}, "style": "long"}}], "extraline": null, "style": "long"}, "sections": [], "chain": [[{"reprentries": [{"type": "ReprEntry", "data": {"lines": ["    def test_fail():", ">       assert 4 + 4 == 1", "E       assert (4 + 4) == 1"], "reprfuncargs": {"args": []}, "reprlocals": null, "reprfileloc": {"path": "test_report_example.py", "lineno": 6, "message": "AssertionError"}, "style": "long"}}], "extraline": null, "style": "long"}, {"path": "D:\\projects\\pytest-reportlog\\test_report_example.py", "lineno": 6, "message": "assert (4 + 4) == 1"}, null]]}, "when": "call", "user_properties": [], "sections": [], "duration": 0.0009992122650146484, "$report_type": "TestReport"}
{"nodeid": "test_report_example.py::test_fail", "location": ["test_report_example.py", 4, "test_fail"], "keywords": {"test_fail": 1, "pytest-reportlog": 1, "test_report_example.py": 1}, "outcome": "passed", "longrepr": null, "when": "teardown", "user_properties": [], "sections": [], "duration": 0.0, "$report_type": "TestReport"}
{"exitstatus": 1, "$report_type": "SessionFinish"}

record_property

The record_property fixture allows to log additional information for a test, just like with JUnitXML format. Consider this test file:

def test_function(record_property):
    record_property("price", 12.34)
    record_property("fruit", "banana")
    assert True

This information will be recorded in the report JSON objects under the user_properties key as follows:

..., "user_properties": [["price", 12.34], ["fruit", "banana"]], ...

Note that this nested list construct is just the JSON representation of a list of tuples (name-value pairs).

License

Distributed under the terms of the MIT license.

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