Validate Python test outputs against stored snapshots with pytest integration.
npx skills add https://github.com/anam-org/metaxy --skill syrupy
Please help me install this Agent Skill. Skill: syrupy Source: https://github.com/anam-org/metaxy/tree/main/.claude/skills/syrupy Command: npx skills add https://github.com/anam-org/metaxy --skill syrupy
Syrupy enables deterministic snapshot testing for Python tests by validating outputs against stored snapshots, ensuring immutability across runs.
Install syrupy, write tests using assert result == snapshot(...), run pytest, and, if needed, update snapshots with --snapshot-update.
High-intent search queries and answers about installing and using this skill.
Syrupy enables deterministic snapshot testing for Python tests by validating complex API responses against stored snapshots, ensuring immutability across runs.
The best way to update immutable snapshots is by running pytest with the --snapshot-update flag. This regenerates the stored snapshot files to match the newly changed outputs, keeping deterministic verification intact.
Yes, pytest snapshot testing supports built-in matchers and filters like path_type, path_value, props, and paths. These allow flexible data handling when validating complex data structures across regressions.
Yes, snapshot testing supports extensions and customization for JSON, SingleFile, and image formats, enabling flexible diff mode and configuration hooks for pytest integration.
Snapshot testing is ideal when validating complex data structures, API responses, or UI components where writing explicit assertions is cumbersome. It ensures deterministic verification across runs without manually maintaining expected values.
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