Skip to main content

actions pypi pyversions womm

pytest-structlog

Structured logging assertions. pytest + structlog = pytest-structlog.

pytest structlog

Installation:

$ pip install pytest-structlog

Usage:

The fixture name is log. It has two attributes of interest: log.events is a list of events from captured log calls, and log.has is a helper function for asserting a single event was logged within the expected context.

Suppose you have some library module, your_lib, which is using structlog:

# your_lib.py
from structlog import get_logger

logger = get_logger()

def spline_reticulator():
    logger.info("reticulating splines")
    for i in range(3):
        logger.debug("processing", spline=i)
    logger.info("reticulated splines", n_splines=3)

Then your test suite might use assertions such as shown below:

# test_your_lib.py
from your_lib import spline_reticulator
import pytest_structlog

def test_spline_reticulator(log: pytest_structlog.StructuredLogCapture):
    assert len(log.events) == 0
    spline_reticulator()
    assert len(log.events) == 5

    # can assert on the event only
    assert log.has("reticulating splines")

    # can assert with subcontext
    assert log.has("reticulated splines")
    assert log.has("reticulated splines", n_splines=3)
    assert log.has("reticulated splines", n_splines=3, level="info")

    # but not incorrect context
    assert not log.has("reticulated splines", n_splines=42)
    assert not log.has("reticulated splines", key="bogus")

    # can assert with the event dicts directly
    assert log.events == [
        {"event": "reticulating splines", "level": "info"},
        {"event": "processing", "level": "debug", "spline": 0},
        {"event": "processing", "level": "debug", "spline": 1},
        {"event": "processing", "level": "debug", "spline": 2},
        {"event": "reticulated splines", "level": "info", "n_splines": 3},
    ]

    # can use friendly factory methods for the events to assert on
    assert log.events == [
        log.info("reticulating splines"),
        log.debug("processing", spline=0),
        log.debug("processing", spline=1),
        log.debug("processing", spline=2),
        log.info("reticulated splines", n_splines=3),
    ]

    # can use membership to check for a single event's data
    assert {"event": "reticulating splines", "level": "info"} in log.events

    # can use >= to specify only the events you're interested in
    assert log.events >= [
        {"event": "processing", "level": "debug", "spline": 0},
        {"event": "processing", "level": "debug", "spline": 2},
    ]

    # or put the comparison the other way around if you prefer
    assert [
        {"event": "processing", "level": "debug", "spline": 0},
        {"event": "processing", "level": "debug", "spline": 2},
    ] <= log.events

    # note: comparisons are order sensitive!
    assert not [
        {"event": "processing", "level": "debug", "spline": 2},
        {"event": "processing", "level": "debug", "spline": 0},
    ] <= log.events

Advanced configuration

By default, pytest-structlog attempts to nerf any pre-existing structlog configuration and set up a list of processors suitable for testing purposes. Sometimes more control over this setup may be desired, for example if the code under test uses custom processors which should be kept even during testing.

For these purposes, the plugin provides options to override the testing processors:

$ pytest --help | grep structlog --after=2
pytest-structlog:
  --structlog-keep=PROCESSOR_NAME
                        Processors to keep if configured (may be specified
                        multiple times).
  --structlog-evict=PROCESSOR_NAME
                        Processors to evict if configured (may be specified
                        multiple times).
...
  structlog_keep (args):
                        Processors to keep if configured (list of names)
  structlog_evict (args):
                        Processors to evict if configured (list of names)

Indicate that some specific processors should be kept during testing with:

pytest --structlog-keep my_processor1 --structlog-keep MyProcessor2

Or write this directly in config files, e.g. in pyproject.toml:

[tool.pytest.ini_options]
structlog_keep = ["my_processor1", "MyProcessor2"]

Sometimes, instead of listing processors to keep, it may be more convenient to list which processors to exclude during testing. In this case you may specify an eviction list:

[tool.pytest.ini_options]
structlog_evict = ["TimeStamper", "JSONRender"]

You may only use "keep" or "evict" mode. It is an error to specify both.

For complete control over which processors should be used in testing, the best way would be to add a structlog.configure() call directly in your conftest.py file and use --structlog-explicit (or set structlog_explicit = true) when running pytest to disable automatic processors selection entirely.

Using pytest -v or pytest -vv you can see more details about which processors pytest-structlog has included or excluded during the test startup.

Release files for pytest-structlog 1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pytest-structlog 1.0
File Size Uploaded
pytest_structlog-1.0.tar.gz 12.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pytest-structlog 1.0
File Interpreter ABI Platform
pytest_structlog-1.0-py3-none-any.whl Python 3 none any Details

Total release size: 20.5 kB

Release files / pytest_structlog-1.0.tar.gz

Download URL pytest_structlog-1.0.tar.gz
Size 12.3 kB
Tags Source
SHA-256 checksum
How to use checksums
530c4ccbee5fd617dd1d101138d3f7078ecb31b26cb4bf75ba3361b4d0b9fc45
BLAKE2b-256 checksum
How to use checksums
fac0e10f6cc6e3e8feb1152d5e280295cab9dbfb0ee04f0fb86f8ce47d0a2851
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.3

Release files / pytest_structlog-1.0-py3-none-any.whl

Download URL pytest_structlog-1.0-py3-none-any.whl
Size 8.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d3ff7e37c0b98500dc6c8bc7ff3b289f1309c4ec83a8c054c3726d013e483cff
BLAKE2b-256 checksum
How to use checksums
0bc48e4dd71c203c6af2d6d2a1313f7f0c58175eefc4186fb7b6452f0928c6d4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.3

Release history Release notifications | RSS feed

1.2

2 release files

1.1

2 release files

This release

1.0 This release

2 release files

0.9

2 release files

0.8

2 release files

0.7

2 release files

0.6

2 release files

0.5

2 release files

0.4

2 release files

0.3

2 release files

0.2

2 release files

0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page