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

Key Features

  • Intuitive Semantics: snapshot(x) mirrors x for easy understanding.
  • Versatile Comparison Support: Equipped with x == snapshot(...), x <= snapshot(...), x in snapshot(...), and snapshot(...)[key].
  • Enhanced Control Flags: Utilize various flags for precise control of which snapshots you want to change.
  • Preserved Black Formatting: Retains formatting consistency with Black formatting.
  • External File Storage: Store snapshots externally using outsource(data).
  • Seamless Pytest Integration: Integrated seamlessly with pytest for effortless testing.
  • Comprehensive Documentation: Access detailed documentation for complete guidance.

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, outsource, external


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
        )

    assert outsource("large string\n" * 1000) == snapshot(
        external("8bf10bdf2c30*.txt")
    )

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, fosstodon or in the github discussions.

Sponsors

I would like to thank my sponsors. Without them, I would not be able to invest so much time in my projects.

Bronze sponsor 🥉

pydantic

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-0.9.0.tar.gz (19.9 kB view details)

Uploaded Source

Built Distribution

inline_snapshot-0.9.0-py3-none-any.whl (21.7 kB view details)

Uploaded Python 3

File details

Details for the file inline_snapshot-0.9.0.tar.gz.

File metadata

  • Download URL: inline_snapshot-0.9.0.tar.gz
  • Upload date:
  • Size: 19.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.11.0 Linux/6.1.0-20-amd64

File hashes

Hashes for inline_snapshot-0.9.0.tar.gz
Algorithm Hash digest
SHA256 5f1c4f0fbf7bcbc0d05dc43822032ed4b954d3f20b01868bde7feda8d7c38817
MD5 6841884501b9965b790b8a5fa183d617
BLAKE2b-256 52de5cdde68682e2ed1453a071038a72ed83f8f41595d3fbd8f144a326c7242e

See more details on using hashes here.

File details

Details for the file inline_snapshot-0.9.0-py3-none-any.whl.

File metadata

  • Download URL: inline_snapshot-0.9.0-py3-none-any.whl
  • Upload date:
  • Size: 21.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.11.0 Linux/6.1.0-20-amd64

File hashes

Hashes for inline_snapshot-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 90deee9be342a270d07d95049e525c609f9e84319e6f9d1506ae19aa2973f8d5
MD5 1e51fdb3796f825bbc21d6f4dc732fc3
BLAKE2b-256 e5d22d64b9b8c275a91c0cfba00435676266fcfae141671af00b1a5c930631c5

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