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[PR #28710] feat: complete test script of dataset service #32149

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opened 2026-02-21 20:50:50 -05:00 by yindo · 0 comments
yindo commented 2026-02-21 20:50:50 -05:00
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Original Pull Request: https://github.com/langgenius/dify/pull/28710

State: closed
Merged: Yes

Add Comprehensive Unit Tests for DatasetService

Important

  1. Make sure you have read our contribution guidelines
  2. Ensure there is an associated issue and you have been assigned to it
  3. Use the correct syntax to link this PR: Fixes #<issue number>.

Summary

This PR adds comprehensive unit tests for DatasetService covering all core dataset management operations. The test suite includes 22 passing tests with detailed documentation and follows TDD best practices.

Fixes

Close https://github.com/langgenius/dify/issues/28709

Test Coverage

1. Dataset Creation (6 tests)

  • Internal dataset creation with various indexing techniques (economy, high_quality)
  • External dataset creation with knowledge bindings
  • Embedding model configuration
  • Duplicate name validation
  • Error handling

2. Dataset Updates (8 tests)

  • Basic field updates (name, description, permission)
  • Indexing technique switching (economy ↔ high_quality)
  • Embedding model updates with vector index rebuilding
  • Retrieval configuration updates
  • External dataset updates with validation

3. Dataset Deletion (4 tests)

  • Normal deletion with cascade cleanup
  • Empty dataset deletion (regression protection for issue #27073)
  • Permission verification
  • Event-driven cleanup operations

4. Document Indexing (3 tests)

  • Pause/resume document indexing
  • Retry failed documents
  • Status validation and error handling

5. Retrieval Configuration (3 tests)

  • Search method configuration (semantic, full-text, hybrid)
  • Top-k and score threshold settings
  • Reranking model integration

Key Features

  • ✅ Comprehensive coverage of all DatasetService operations
  • ✅ Well-documented with detailed docstrings and inline comments
  • ✅ Factory pattern for consistent test data creation
  • ✅ Proper mocking of all external dependencies (database, Redis, model providers)
  • ✅ Follows project conventions using pytest and Arrange-Act-Assert pattern
  • ✅ All tests passing (22/22) with proper assertions

Testing Approach

  • All external dependencies are properly mocked to ensure fast, isolated unit tests
  • Uses pytest fixtures for common mock configurations
  • Each test verifies both return values and side effects (database operations, events, async tasks)
  • Comprehensive documentation explains test intent and verification points

Screenshots

Not applicable - this is a test suite addition with no UI changes.

Checklist

  • This change requires a documentation update, included: Dify Document
  • I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
  • I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
  • I've updated the documentation accordingly.
  • I ran dev/reformat(backend) and cd web && npx lint-staged(frontend) to appease the lint gods

Contribution by Gittensor, learn more at https://gittensor.io/

**Original Pull Request:** https://github.com/langgenius/dify/pull/28710 **State:** closed **Merged:** Yes --- # Add Comprehensive Unit Tests for DatasetService > [!IMPORTANT] > > 1. Make sure you have read our [contribution guidelines](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) > 1. Ensure there is an associated issue and you have been assigned to it > 1. Use the correct syntax to link this PR: `Fixes #<issue number>`. ## Summary This PR adds comprehensive unit tests for `DatasetService` covering all core dataset management operations. The test suite includes **22 passing tests** with detailed documentation and follows TDD best practices. ### Fixes Close https://github.com/langgenius/dify/issues/28709 ### Test Coverage **1. Dataset Creation (6 tests)** - Internal dataset creation with various indexing techniques (economy, high_quality) - External dataset creation with knowledge bindings - Embedding model configuration - Duplicate name validation - Error handling **2. Dataset Updates (8 tests)** - Basic field updates (name, description, permission) - Indexing technique switching (economy ↔ high_quality) - Embedding model updates with vector index rebuilding - Retrieval configuration updates - External dataset updates with validation **3. Dataset Deletion (4 tests)** - Normal deletion with cascade cleanup - Empty dataset deletion (regression protection for issue #27073) - Permission verification - Event-driven cleanup operations **4. Document Indexing (3 tests)** - Pause/resume document indexing - Retry failed documents - Status validation and error handling **5. Retrieval Configuration (3 tests)** - Search method configuration (semantic, full-text, hybrid) - Top-k and score threshold settings - Reranking model integration ### Key Features - ✅ **Comprehensive coverage** of all DatasetService operations - ✅ **Well-documented** with detailed docstrings and inline comments - ✅ **Factory pattern** for consistent test data creation - ✅ **Proper mocking** of all external dependencies (database, Redis, model providers) - ✅ **Follows project conventions** using pytest and Arrange-Act-Assert pattern - ✅ **All tests passing** (22/22) with proper assertions ### Testing Approach - All external dependencies are properly mocked to ensure fast, isolated unit tests - Uses pytest fixtures for common mock configurations - Each test verifies both return values and side effects (database operations, events, async tasks) - Comprehensive documentation explains test intent and verification points ## Screenshots Not applicable - this is a test suite addition with no UI changes. ## Checklist - [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs) - [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!) - [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change. - [x] I've updated the documentation accordingly. - [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods Contribution by Gittensor, learn more at https://gittensor.io/
yindo added the pull-request label 2026-02-21 20:50:50 -05:00
yindo closed this issue 2026-02-21 20:50:51 -05:00
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Reference: langgenius/dify#32149
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