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-0.13.2.tar.gz (84.0 kB view details)

Uploaded Source

Built Distribution

inline_snapshot-0.13.2-py3-none-any.whl (31.4 kB view details)

Uploaded Python 3

File details

Details for the file inline_snapshot-0.13.2.tar.gz.

File metadata

  • Download URL: inline_snapshot-0.13.2.tar.gz
  • Upload date:
  • Size: 84.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.27.2

File hashes

Hashes for inline_snapshot-0.13.2.tar.gz
Algorithm Hash digest
SHA256 968dbdfbcd034a62e06d8b69c0badd181988ff0b5ea2d1f5718c203db0087343
MD5 c5ba978d426d0cdbcca64f82db11d25a
BLAKE2b-256 a48fdd162d0bd74248537c2e932633894ef07e41ec1381b2007417b041112c2e

See more details on using hashes here.

File details

Details for the file inline_snapshot-0.13.2-py3-none-any.whl.

File metadata

File hashes

Hashes for inline_snapshot-0.13.2-py3-none-any.whl
Algorithm Hash digest
SHA256 17c02d3a04d8be114812982831978531c3868b74d9f25596736f26c9bac993db
MD5 7d90d96f805a925dae845455bbdb57b9
BLAKE2b-256 9563af4499528d2ff2d7e7f9439c02e149215fb7e65b5b07e9f3a94c6603c176

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