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Pytest plugin for automatic JSON Schema generation and validation from examples

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Project description

pytest: Typed Schema Shot

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Plugin for pytest that automatically generates JSON Schemas based on data examples and validates data against saved schemas.

Плагин для pytest, который автоматически генерирует JSON Schema на основе примеров данных и проверяет данные по сохраненным схемам.

Features

  • Automatic JSON Schema generation from data examples (using the genson library).

    Автоматическая генерация JSON Schema по примерам данных (на основе библиотеки genson).

  • Format detection: Automatic detection and validation of string formats (email, UUID, date, date-time, URI, IPv4).

    Обнаружение форматов: Автоматическое обнаружение и валидация форматов строк (email, UUID, date, date-time, URI, IPv4).

  • Schema storage and management.

    Хранение и управление схемами.

  • Validation of data against saved schemas.

    Валидация данных по сохраненным схемам.

  • Schema update via --schema-update (create new schemas, remove unused ones, update existing).

    Обновление схем через --schema-update (создание новых, удаление неиспользуемых, обновление существующих).

  • Support for both async and synchronous functions.

    Поддержка асинхронных (async) и синхронных функций.

  • Support for Union types and optional fields.

    Поддержка Union типов и опциональных полей.

  • Built-in diff comparison of changes

    Встроенный diff сравнения изменений:

    - ["complex_structure"]["mail"].format: "email"
    
    r ["complex_structure"]["age"].type:
    -   [
    -     "integer",
    -     "number"
    -   ]
    +   "number"
    
    - ["multitype_array"]: {"key": {"type": "string"}}
    
    - ["multitype_array"].type: "object"
    
    - ["multitype_array"].required:
    -    "ключ"
    
    + ["multitype_array"].anyOf:
    +    {"type": ["null", "string"]},
    +    {"type": "object", "properties": {"key": {"type": "string"}}, "required": ["key"]}
    

Installation

pip install pytest-typed-schema-shot

Usage

  1. Use the schemashot fixture in your tests

    В тестах используйте фикстуру schemashot:

    from typed_schema_shot import SchemaShot
    
    @pytest.mark.asyncio
    async def test_something(schemashot: SchemaShot):
        data = await API.data()
        schemashot.assert_match(data, "data")
    
  2. On first run, generate schemas with the --schema-update flag

    При первом запуске создайте схемы --schema-update:

    pytest --schema-update
    
  3. On subsequent runs, tests will validate data against saved schemas

    В последующих запусках тесты будут проверять данные по сохраненным схемам:

    pytest
    

Key Capabilities

  • Union Types: support multiple possible types for fields

    Поддержка множественных типов полей.

  • Optional Fields: automatic detection of required and optional fields

    Автоматическое определение обязательных и необязательных полей.

  • Format Detection: automatic detection of string formats including:

    • Email: user@example.com{"type": "string", "format": "email"}

    • UUID: 550e8400-e29b-41d4-a716-446655440000{"type": "string", "format": "uuid"}

    • Date: 2023-01-15{"type": "string", "format": "date"}

    • Date-Time: 2023-01-01T12:00:00Z{"type": "string", "format": "date-time"}

    • URI: https://example.com{"type": "string", "format": "uri"}

    • IPv4: 192.168.1.1{"type": "string", "format": "ipv4"}

      Обнаружение форматов: автоматическое определение форматов строк с поддержкой валидации.

  • Cleanup: automatic removal of unused schemas when running in update mode

    Автоматическое удаление неиспользуемых схем в режиме обновления.

  • Schema Summary: colored terminal output showing created, updated, deleted and unused schemas

    Цветной вывод в терминале с информацией о созданных, обновленных, удаленных и неиспользуемых схемах.

Advanced Usage

Configuration Options

The plugin supports the following pytest options:

  • --schema-update: Enable schema update mode (create new, update existing, delete unused schemas)

You can also configure the plugin via pytest.ini:

[tool:pytest]
# Custom directory for storing schemas (default: __snapshots__)
schema_shot_dir = schema_files

Or in pyproject.toml:

[tool.pytest.ini_options]
schema_shot_dir = "schema_files"

Schema Summary

The plugin automatically shows a summary at the end of test execution:

======== Schema Summary ========
Created schemas (1):
  - new_api_schema.schema.json
Updated schemas (1):  
  - user_profile.schema.json
Unused schemas (2):
  - old_feature.schema.json
  - deprecated_api.schema.json
Use --schema-update to delete unused schemas

Best Practices

  1. Commit schemas to version control: Schemas should be part of your repository
  2. Review schema changes: When schemas change, review the diffs carefully
  3. Clean up regularly: Use --schema-update periodically to remove unused schemas
  4. Descriptive names: Use clear, descriptive names for your schemas

Troubleshooting

Schema not found error: Run tests with --schema-update to create missing schemas

Validation errors: Check if your data structure has changed and update schemas accordingly

Permission errors: Ensure your test directory is writable

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