Skip to main content

golden master/snapshot/approval testing library which puts the values right into your source code

Project description

inline-snapshot

ci Docs pypi version Python Versions PyPI - Downloads coverage GitHub Sponsors

Installation

You can install "inline-snapshot" via pip:

pip install inline-snapshot

Usage

You can use snapshot() instead of the value which you want to compare with.

from inline_snapshot import snapshot


def test_something():
    assert 1548 * 18489 == snapshot()

You can now run the tests and record the correct values.

$ pytest --inline-snapshot=create
from inline_snapshot import snapshot


def test_something():
    assert 1548 * 18489 == snapshot(28620972)

inline-snapshot provides more advanced features like:

from inline_snapshot import snapshot


def test_something():
    for number in range(5):
        # testing for numeric limits
        assert number <= snapshot(4)
        assert number >= snapshot(0)

    for c in "hello world":
        # test if something is part of a set
        assert c in snapshot(["h", "e", "l", "o", " ", "w", "r", "d"])

    s = snapshot(
        {
            0: {"square": 0, "pow_of_two": False},
            1: {"square": 1, "pow_of_two": True},
            2: {"square": 4, "pow_of_two": True},
            3: {"square": 9, "pow_of_two": False},
            4: {"square": 16, "pow_of_two": True},
        }
    )

    for number in range(5):
        # create sub-snapshots at runtime
        assert s[number]["square"] == number**2
        assert s[number]["pow_of_two"] == ((number & (number - 1) == 0) and number != 0)

More information can be found in the documentation.

Feedback

inline-snapshot provides some advanced ways to work with snapshots.

I would like to know how these features are used to further improve this small library. Let me know if you've found interesting use cases for this library via twitter or in the github discussions.

Issues

If you encounter any problems, please report an issue along with a detailed description.

License

Distributed under the terms of the MIT license, "inline-snapshot" is free and open source software.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

inline_snapshot-0.5.2.tar.gz (12.2 kB view details)

Uploaded Source

Built Distribution

inline_snapshot-0.5.2-py3-none-any.whl (12.4 kB view details)

Uploaded Python 3

File details

Details for the file inline_snapshot-0.5.2.tar.gz.

File metadata

  • Download URL: inline_snapshot-0.5.2.tar.gz
  • Upload date:
  • Size: 12.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.11.0 Linux/6.1.0-13-amd64

File hashes

Hashes for inline_snapshot-0.5.2.tar.gz
Algorithm Hash digest
SHA256 f3eafdcdc7bd3f582dd3d47c5d980fd3f7a6d9d015d6edfc14e69d93f2a53cb3
MD5 643b0c9488574961fbe0739d3f5653c7
BLAKE2b-256 014b30cd974cbb451a750ba98394be4ec5c2e0a8374e1d083e3f5c571a57c51c

See more details on using hashes here.

File details

Details for the file inline_snapshot-0.5.2-py3-none-any.whl.

File metadata

  • Download URL: inline_snapshot-0.5.2-py3-none-any.whl
  • Upload date:
  • Size: 12.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.11.0 Linux/6.1.0-13-amd64

File hashes

Hashes for inline_snapshot-0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 8bf101a4a8d1d750a46bd1f8bdff6e172fda8da62922f45d03b72a9b17a318de
MD5 73fa38caf84643aae5b328e54c03456f
BLAKE2b-256 a1ce50b0b9de04820446b6a558a93dc69ed9acdc17466c069f50155f0cf7297e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page