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.
  • Customizable: code generation can be customized with @customize_repr
  • 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=review
from inline_snapshot import snapshot


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

The following examples show how you can use inline-snapshot in your tests. Take a look at the documentation if you want to know more.

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")
    )

    assert "generates\nmultiline\nstrings" == snapshot(
        """\
generates
multiline
strings\
"""
    )

snapshot() can also be used as parameter for functions:

from inline_snapshot import snapshot
import subprocess as sp
import sys


def run_python(cmd, stdout=None, stderr=None):
    result = sp.run([sys.executable, "-c", cmd], capture_output=True)
    if stdout is not None:
        assert result.stdout.decode() == stdout
    if stderr is not None:
        assert result.stderr.decode() == stderr


def test_cmd():
    run_python(
        "print('hello world')",
        stdout=snapshot(
            """\
hello world
"""
        ),
        stderr=snapshot(""),
    )

    run_python(
        "1/0",
        stdout=snapshot(""),
        stderr=snapshot(
            """\
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ZeroDivisionError: division by zero
"""
        ),
    )

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-0.13.0.tar.gz (82.4 kB view details)

Uploaded Source

Built Distribution

inline_snapshot-0.13.0-py3-none-any.whl (30.8 kB view details)

Uploaded Python 3

File details

Details for the file inline_snapshot-0.13.0.tar.gz.

File metadata

  • Download URL: inline_snapshot-0.13.0.tar.gz
  • Upload date:
  • Size: 82.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.27.2

File hashes

Hashes for inline_snapshot-0.13.0.tar.gz
Algorithm Hash digest
SHA256 a8a773eedfdc78f4bdbcc481a7f147f715e822756885342c8e27a8b9a995073d
MD5 f42ec66725c12cee15f89cb15b916a7a
BLAKE2b-256 67a0119ec5e5a9e8f5d53d821754d2cbe5c77f507c2d2ab221c215c6037f29cb

See more details on using hashes here.

File details

Details for the file inline_snapshot-0.13.0-py3-none-any.whl.

File metadata

File hashes

Hashes for inline_snapshot-0.13.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bf7f02c005027f6ebe026a69c6c796d631aaf4a725e5108e017eeadb3ed524ad
MD5 be2a997af72d79c6afc874a1b9312823
BLAKE2b-256 26f66d2aec8e171d4fe8e2e81a1e290e7f93a3f26a55e2951865d2a4680c4621

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