pytest-metadata 3.1.1

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Description:

pytestmetadata 3.1.1

pytest-metadata is a plugin for pytest that provides
access to test session metadata.







Requirements
You will need the following in order to use pytest-metadata:

Python 3.8+ or PyPy3



Installation
To install pytest-metadata:
$ pip install pytest-metadata


Contributing
We welcome contributions.
To learn more, see Development


Available metadata
The following metadata is gathered by this plugin:


Key
Description
Example



Python
Python version
3.6.4

Platform
Platform
Darwin-17.4.0-x86_64-i386-64bit

Packages
pytest packages
{‘py’: ‘1.5.2’, ‘pytest’: ‘3.4.1’}

Plugins
pytest plugins
{‘metadata’: ‘1.6.0’}





Additional metadata
You can provide your own metadata (key, value pair) by specifying --metadata on the commandline:
pytest --metadata foo bar
Note: You can provide multiple sets of --metadata:
pytest --metadata foo bar --metadata baz zoo
There’s also the possibility of passing in metadata as a JSON string:
pytest --metadata-from-json '{"cat_says": "bring the cat nip", "human_says": "yes kitty"}'
Alternatively a JSON can be read from a given file:
pytest --metadata-from-json-file path/to/valid/file.json


Continuous integration
When run in a continuous integration environment, additional metadata is added
from environment variables. Below is a list of the supported continuous
integration providers, along with links to the environment variables that are
added to metadata if they’re present.

AppVeyor
Bitbucket
CircleCI
GitLab CI
Jenkins
TaskCluster
Travis CI

Note that if you’re using Tox to run your tests
then you will need to pass down any additional environment variables
for these to be picked up.


Viewing metadata
If you pass --verbose on the command line when running your tests, then the
metadata will be displayed in the terminal report header:
pytest --verbose
============================ test session starts ============================
platform darwin -- Python 3.6.4, pytest-3.4.1, py-1.5.2, pluggy-0.6.0 -- /usr/bin/python
cachedir: .pytest_cache
metadata: {'Python': '3.6.4', 'Platform': 'Darwin-17.4.0-x86_64-i386-64bit', 'Packages': {'pytest': '3.4.1', 'py': '1.5.2', 'pluggy': '0.6.0'}, 'Plugins': {'metadata': '1.6.0'}}
plugins: metadata-1.6.0


Including metadata in Junit XML
Pytest-metadata provides the session scoped fixture include_metadata_in_junit_xml that you may use to include any metadata in Junit XML as property tags.
For example the following test module
import pytest

pytestmark = pytest.mark.usefixtures('include_metadata_in_junit_xml')

def test():
pass
when called with
pytest --metadata Daffy Duck --junit-xml=results.xml
would produce the following XML
<?xml version="1.0" encoding="utf-8"?>
<testsuites>
<testsuite name="pytest" errors="0" failures="0" skipped="0" tests="1" time="0.009" timestamp="2020-11-27T06:38:44.407674" hostname="sam">
<properties>
<property name="Daffy" value="Duck"/>
...


Accessing metadata
To add/modify/delete metadata at the end of metadata collection, you can use the pytest_metadata hook:
import pytest
@pytest.hookimpl(optionalhook=True)
def pytest_metadata(metadata):
metadata.pop("password", None)
To access the metadata from a test or fixture, you can use the metadata
fixture:
def test_metadata(metadata):
assert 'metadata' in metadata['Plugins']
To access the metadata from a plugin, you can use the stash attribute of
the config object. This can be used to read/add/modify the metadata:
def pytest_configure(config):
metadata = config.pluginmanager.getplugin("metadata")
if metadata:
from pytest_metadata.plugin import metadata_key
config.stash[metadata_key]['foo'] = 'bar'


Plugin integrations
Here’s a handy list of plugins that either read or contribute to the metadata:

pytest-base-url - Adds the
base URL to the metadata.
pytest-html - Displays the
metadata at the start of each report.
pytest-reporter-html1 -
Presents metadata as part of the report.
pytest-selenium - Adds the
driver, capabilities, and remote server to the metadata.



Resources

Release Notes
Issue Tracker
Code

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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