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A simple plugin to use with pytest

Project description

Pytest Hardware Test Report

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This pytest plugin creates test reports for hardware tests in JSON. This makes it easy to process test results in other applications.

It can report a summary, test details, captured output, logs, exception tracebacks and more. Additionally, you can use the available fixtures and hooks to add metadata and customize the report as you like.

Table of contents

Installation

pip install pytest-hardware-test-report --upgrade 

Options

Option Description
--hw-test-report Create JSON report
--hw-test-report-file=PATH Target path to save JSON report (use "none" to not save the report)
--hw-test-report-summary Just create a summary without per-test details
--hw-test-report-omit=FIELD_LIST List of fields to omit in the report (choose from: log, traceback, streams, warnings)
--hw-test-report-indent=LEVEL Pretty-print JSON with specified indentation level
--hw-test-report-verbosity=LEVEL Set verbosity (default is value of --verbosity)

Usage

Just run pytest with --hw-test-report. The report is saved in .report.json by default.

$ pytest --hw-test-report -v tests/
$ cat .report.json
{"created": 1518371686.7981803, ... "tests":[{"nodeid": "test_foo.py", "outcome": "passed", ...}, ...]}

If you just need to know how many tests passed or failed and don't care about details, you can produce a summary only:

pytest --hw-test-report --hw-test-report-summary

Many fields can be omitted to keep the report size small. E.g., this will leave out keywords and stdout/stderr output:

pytest --hw-test-report --hw-test-report-omit keywords streams

If you don't like to have the report saved, you can specify none as the target file name:

pytest --hw-test-report --hw-test-report-file none

Fixtures

json_dut

To record information about the device under test in the report you can use the json_dut test fixture. This also works if your DUT is, itself, a fixture:

@pytest.fixture(name="dut")
def dut_fixture(json_dut):
    json_dut['serial no'] = 1234567
    json_dut['version'] = 1.0.0
    dut = setup_dut()
    yield dut
    dut.teardown()

json_equipment

To record information about any test equipment you may use in the report you can use the json_equipment test fixture:

def equipment1(json_equipment):
    json_equipment['equipment1'] = {'manufacturer': 'Test Inc.', 'Model': 'Testomatic 300'}

json_metadata

The easiest way to add your own metadata to a test item is by using the json_metadata test fixture:

def test_something(json_metadata):
    json_metadata['foo'] = {"some": "thing"}
    json_metadata['bar'] = 123

Advanced usage

Hooks

If you're using a pytest_json_* hook although the plugin is not installed or not active (not using --json-report), pytest doesn't recognize it and may fail with an internal error like this:

INTERNALERROR> pluggy.manager.PluginValidationError: unknown hook 'pytest_json_runtest_metadata' in plugin <module 'conftest' from 'conftest.py'>

You can avoid this by declaring the hook implementation optional:

import pytest
@pytest.hookimpl(optionalhook=True)
def pytest_json_runtest_metadata(item, call):
    ...

DUT

Or use the pytest_json_runtest_dut hook (in your conftest.py) to add metadata based on the current test run. The dict returned will automatically be merged with any existing metadata. E.g., this adds the start and stop time of each test's setup stage:

def pytest_json_runtest_dut(item, call):
    if call.when != 'setup':
        return {}
    return {'start': call.start, 'stop': call.stop}

Equipment

Or use the pytest_json_runtest_equipment hook (in your conftest.py) to add metadata based on the current test run. The dict returned will automatically be merged with any existing metadata. E.g., this adds the start and stop time of each test's setup stage:

def pytest_json_runtest_equipment(item, call):
    if call.when != 'setup':
        return {}
    return {'start': call.start, 'stop': call.stop}

Metadata

Or use the pytest_json_runtest_metadata hook (in your conftest.py) to add metadata based on the current test run. The dict returned will automatically be merged with any existing metadata. E.g., this adds the start and stop time of each test's call stage:

def pytest_json_runtest_metadata(item, call):
    if call.when != 'call':
        return {}
    return {'start': call.start, 'stop': call.stop}

Also, you could add metadata using pytest-metadata's --metadata switch which will add metadata to the report's environment section, but not to a specific test item. You need to make sure all your metadata is JSON-serializable.

Modifying the report

You can modify the entire report before it's saved by using the pytest_json_modifyreport hook.

Just implement the hook in your conftest.py, e.g.:

def pytest_json_modifyreport(json_report):
    # Add a key to the report
    json_report['foo'] = 'bar'
    # Delete the summary from the report
    del json_report['summary']

After pytest_sessionfinish, the report object is also directly available to script via config._json_report.report. So you can access it using some built-in hook:

def pytest_sessionfinish(session):
    report = session.config._json_report.report
    print('exited with', report['exitcode'])

If you really want to change how the result of a test stage run is turned into JSON, you can use the pytest_json_runtest_stage hook. It takes a TestReport and returns a JSON-serializable dict:

def pytest_json_runtest_stage(report):
    return {'outcome': report.outcome}

Direct invocation

You can use the plugin when invoking pytest.main() directly from code:

import pytest
from pytest_htr.plugin import JSONReport

plugin = JSONReport()
pytest.main(['--hw-test-report-file=none', 'test_foo.py'], plugins=[plugin])

You can then access the report object:

print(plugin.report)

And save the report manually:

plugin.save_report('/tmp/my_report.json')

Format

The JSON report contains metadata of the session, a summary, tests and warnings. You can find a sample report in sample_report.json.

Key Description
created Report creation date. (Unix time)
duration Session duration in seconds.
exitcode Process exit code as listed in the pytest docs. The exit code is a quick way to tell if any tests failed, an internal error occurred, etc.
root Absolute root path from which the session was started.
environment Environment entry.
summary Summary entry.
tests Tests entry. (absent if --hw-test-report-summary)
warnings Warnings entry. (absent if --hw-test-report-summary or if no warnings)

Format Example

{
    "created": 1518371686.7981803,
    "duration": 0.1235666275024414,
    "exitcode": 1,
    "root": "/path/to/tests",
    "environment": ENVIRONMENT,
    "summary": SUMMARY,
    "tests": TESTS,
    "warnings": WARNINGS,
}

Summary

Number of outcomes per category and the total number of test items.

Key Description
collected Total number of tests collected.
total Total number of tests run.
deselected Total number of tests deselected. (absent if number is 0)
<outcome> Number of tests with that outcome. (absent if number is 0)

Summary Example

{
    "collected": 10,
    "passed": 2,
    "failed": 3,
    "xfailed": 1,
    "xpassed": 1,
    "error": 2,
    "skipped": 1,
    "total": 10
}

Environment

The environment section is provided by pytest-metadata. All metadata given by that plugin will be added here, so you need to make sure it is JSON-serializable.

Environment Example

{
    "Python": "3.6.4",
    "Platform": "Linux-4.56.78-9-ARCH-x86_64-with-arch",
    "Packages": {
        "pytest": "3.4.0",
        "py": "1.5.2",
        "pluggy": "0.6.0"
    },
    "Plugins": {
        "json-report": "0.4.1",
        "xdist": "1.22.0",
        "metadata": "1.5.1",
        "forked": "0.2",
        "cov": "2.5.1"
    },
    "foo": "bar", # Custom metadata entry passed via pytest-metadata
}

Tests

A list of test nodes. Each completed test stage produces a stage object (setup, call, teardown) with its own outcome.

Key Description
nodeid ID of the test node.
outcome Outcome of the test run.
DUT DUT item. (absent if not present)
equipment equipment item. (absent if not present)
{setup, call, teardown} Test stage entry. To find the error in a failed test you need to check all stages. (absent if stage didn't run)
metadata Metadata item. (absent if no metadata)

Tests Example

[
    {
        "nodeid": "test_foo.py::test_fail",
        "outcome": "failed",
        "DUT": {
            "serial no": 123456
        },
        "equipment": {
            "equipment 1": {
                "serial no": 123456
            },
            "equipment 2: {
                "serial no": 123456
            }
        },
        "setup": TEST_STAGE,
        "call": TEST_STAGE,
        "teardown": TEST_STAGE,
        "metadata": {
            "foo": "bar",
        }
    },
    ...
]

Test stage

A test stage item.

Key Description
duration Duration of the test stage in seconds.
outcome Outcome of the test stage. (can be different from the overall test outcome)
crash Crash entry. (absent if no error occurred)
traceback List of traceback entries. (absent if no error occurred; affected by --tb option)
stdout Standard output. (absent if none available)
stderr Standard error. (absent if none available)
log Log entry. (absent if none available)
longrepr Representation of the error. (absent if no error occurred; format affected by --tb option)

Test stage Example

{
    "duration": 0.00018835067749023438,
    "outcome": "failed",
    "crash": {
        "path": "/path/to/tests/test_foo.py",
        "lineno": 54,
        "message": "TypeError: unsupported operand type(s) for -: 'int' and 'NoneType'"
    },
    "traceback": [
        {
            "path": "test_foo.py",
            "lineno": 65,
            "message": ""
        },
        {
            "path": "test_foo.py",
            "lineno": 63,
            "message": "in foo"
        },
        {
            "path": "test_foo.py",
            "lineno": 63,
            "message": "in <listcomp>"
        },
        {
            "path": "test_foo.py",
            "lineno": 54,
            "message": "TypeError"
        }
    ],
    "stdout": "foo\nbar\n",
    "stderr": "baz\n",
    "log": LOG,
    "longrepr": "def test_fail_nested():\n ..."
}

Log

A list of log records. The fields of a log record are the logging.LogRecord attributes, with the exception that the fields exc_info and args are always empty and msg contains the formatted log message.

You can apply logging.makeLogRecord() on a log record to convert it back to a logging.LogRecord object.

Log Example

[
    {
        "name": "root",
        "msg": "This is a warning.",
        "args": null,
        "levelname": "WARNING",
        "levelno": 30,
        "pathname": "/path/to/tests/test_foo.py",
        "filename": "test_foo.py",
        "module": "test_foo",
        "exc_info": null,
        "exc_text": null,
        "stack_info": null,
        "lineno": 8,
        "funcName": "foo",
        "created": 1519772464.291738,
        "msecs": 291.73803329467773,
        "relativeCreated": 332.90839195251465,
        "thread": 140671803118912,
        "threadName": "MainThread",
        "processName": "MainProcess",
        "process": 31481
    },
    ...
]

Warnings

A list of warnings that occurred during the session. (See the pytest docs on warnings.)

Key Description
filename File name.
lineno Line number.
message Warning message.
when When the warning was captured. ("config", "collect" or "runtest" as listed here)

Warnings Example

[
    {
        "code": "C1",
        "path": "/path/to/tests/test_foo.py",
        "nodeid": "test_foo.py::TestFoo",
        "message": "cannot collect test class 'TestFoo' because it has a __init__ constructor"
    }
]

Related tools

  • pytest-json-report Heavily inspired by this plugin. It is more suited for pure software testing but i have borrow large ammounts of code from there.

  • pytest-json has some great features but appears to be unmaintained. I borrowed some ideas and test cases from there.

  • tox has a switch to create a JSON report including a test result summary. However, it just provides the overall outcome without any per-test details.

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