pytest-image-snapshot 0.3.0

A pytest plugin for image snapshot management and comparison.

pytest-image-snapshot

A pytest plugin for image snapshot management and comparison.

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Features

• Image Comparison: Automatically compares a test-generated image with a pre-stored snapshot, identifying any visual discrepancies.
• Snapshot Creation: If a reference snapshot doesn't exist, the plugin will create it during the test run, making initial setup effortless.
• Verbose Mode Display: Capable of displaying the difference image for quick visual feedback in case of mismatches when running tests with -v.
• Snapshot Update Option: Includes a --image-snapshot-update flag to update existing snapshots or create new ones, accommodating visual changes in your project.
• Threshold-Based Comparison: Utilizes the threshold argument for enhanced image comparison with the pixelmatch library, enabling anti-aliasing pixel detection.

Requirements

• Pillow
• pixelmatch (optional)

Installation

You can install "pytest-image-snapshot" via pip from PyPI:

$ pip install pytest-image-snapshot

Optional Dependency

pytest-image-snapshot offers enhanced functionality with the optional pixelmatch package, suitable for advanced image comparison scenarios. To install pytest-image-snapshot along with this optional feature, use the following command:

$ pip install pytest-image-snapshot[pixelmatch]

Pytest Image Snapshot Usage Example

The image_snapshot fixture is designed for visual regression testing in pytest. It compares a generated image in your tests with a stored reference image (snapshot). If the snapshot doesn't exist, it will be automatically created. This makes the fixture ideal for both creating initial snapshots and for ongoing comparison in visual tests.

Usage

Here's a example of how to utilize the image_snapshot fixture:

from PIL import Image

def test_image(image_snapshot):
    # Create a new white image of 100x100 pixels
    image = Image.new('RGB', (100, 100), 'white')
    # Compare it to the snapshot stored in test_snapshots/test.png
    # If test_snapshots/test.png does not exist, it will be created
    image_snapshot(image, "test_snapshots/test.png")

Optional threshold Argument in image_snapshot

The image_snapshot function includes an optional threshold argument. When set, and if the image does not match the snapshot, the pixelmatch library is used for a detailed comparison with anti-aliasing pixel detection.

• Default Threshold: If threshold is set to True, a default threshold value is utilized.
• Custom Threshold: If threshold is a numeric value, it is passed to the pixelmatch library to specify the tolerance level for image comparison.

image_snapshot(image, "test_snapshots/test.png", True)
image_snapshot(image, "test_snapshots/test.png", 0.2)

⚠️ Warning:

The image_snapshot fixture does not automatically create directories for storing image snapshots. Ensure that the necessary directories (e.g., test_snapshots/) are created in your project structure before running tests.

Verbose Mode (-v or --verbose)

The verbose mode enhances the output detail for image_snapshot tests:

• -v: Displays the 'diff' image when there's a mismatch.
• -vv: Shows all three images - 'diff', 'original', and 'current' for a comprehensive comparison.

This feature assists in quickly identifying and analyzing visual differences during test failures.

Updating Snapshots (--image-snapshot-update)

Use the --image-snapshot-update flag to update or create new reference snapshots. This is useful for incorporating intentional visual changes into your tests, ensuring that your snapshots always reflect the current expected state.

pytest --image-snapshot-update

Example

Visual regression test for Django application home page with playwright:

from PIL import Image
from io import BytesIO

def test_homepage(live_server, page: Page, image_snapshot):
    page.goto(f"{live_server}")
    # convert screenshot to image
    screenshot = Image.open(BytesIO(page.screenshot()))
    image_snapshot(screenshot, "test_snapshots/homepage.png", threshold=True)

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

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

Issues

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

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This pytest plugin was generated with Cookiecutter along with @hackebrot's cookiecutter-pytest-plugin template.