langgenius/dify
1
0
Fork 0
mirror of https://github.com/langgenius/dify.git synced 2026-07-21 12:05:30 -04:00
Code Issues 775 Packages Projects Releases 10 Wiki Activity

[PR #28512] feat: complete test script for dataset models #32068

New Issue
Closed
opened 2026-02-21 20:50:41 -05:00 by yindo · 0 comments
yindo commented 2026-02-21 20:50:41 -05:00
Owner
Copy Link
Copy Source

Original Pull Request: https://github.com/langgenius/dify/pull/28512

State: closed
Merged: Yes

Add Comprehensive Unit Tests for Dataset Models

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 dataset models to improve code coverage and ensure model integrity. The test suite covers all critical aspects of the dataset domain models including validation, relationships, indexing, and cascade operations.

Fixes

Closes https://github.com/langgenius/dify/issues/28511

What's Changed

  • Added tests/unit_tests/models/test_dataset_models.py with 55 comprehensive test cases covering:
    • Dataset model validation and properties
    • Document model relationships and status transitions
    • DocumentSegment indexing and navigation
    • Embedding storage and serialization
    • DatasetProcessRule configuration
    • Dataset-Document cascade operations
    • Model integration scenarios

Test Coverage

The test suite validates:

  1. Dataset Model (9 tests)

    • Required and optional field validation
    • Indexing technique and provider validation
    • Index struct and retrieval model properties
    • Collection name generation

  2. Document Model (13 tests)

    • Document creation and data source types
    • Display status for all states (queuing, paused, indexing, error, available, disabled, archived)
    • Data source info parsing
    • Segment aggregation (count, hit count, word count)

  3. DocumentSegment Model (8 tests)

    • Segment creation with indexing fields
    • QA model answer field support
    • Status transitions and error tracking
    • Enabled/disabled state management
    • Hit count tracking

  4. Embedding Model (4 tests)

    • Embedding creation and storage
    • Pickle serialization/deserialization
    • Large vector handling (1536 dimensions)

  5. Supporting Models (11 tests)

    • DatasetProcessRule modes and configuration
    • DatasetKeywordTable
    • AppDatasetJoin relationships
    • ChildChunk hierarchical structure

  6. Integration Tests (10 tests)

    • Dataset-Document-Segment hierarchy
    • Navigation properties (previous/next segments)
    • Cascade operations and aggregations
    • Model serialization (to_dict)

Testing Approach

  • Follows TDD principles with Arrange-Act-Assert structure
  • Uses unittest.mock for database operations to ensure unit test isolation
  • Maintains consistency with existing test patterns
  • All tests pass with 100% success rate (55/55)

Test Results

========================================================= 55 passed, 48 warnings in 18.00s =========================================================

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
**Original Pull Request:** https://github.com/langgenius/dify/pull/28512 **State:** closed **Merged:** Yes --- # Add Comprehensive Unit Tests for Dataset Models > [!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 dataset models to improve code coverage and ensure model integrity. The test suite covers all critical aspects of the dataset domain models including validation, relationships, indexing, and cascade operations. ### Fixes Closes https://github.com/langgenius/dify/issues/28511 ### What's Changed - **Added `tests/unit_tests/models/test_dataset_models.py`** with 55 comprehensive test cases covering: - Dataset model validation and properties - Document model relationships and status transitions - DocumentSegment indexing and navigation - Embedding storage and serialization - DatasetProcessRule configuration - Dataset-Document cascade operations - Model integration scenarios ### Test Coverage The test suite validates: 1. **Dataset Model** (9 tests) - Required and optional field validation - Indexing technique and provider validation - Index struct and retrieval model properties - Collection name generation 2. **Document Model** (13 tests) - Document creation and data source types - Display status for all states (queuing, paused, indexing, error, available, disabled, archived) - Data source info parsing - Segment aggregation (count, hit count, word count) 3. **DocumentSegment Model** (8 tests) - Segment creation with indexing fields - QA model answer field support - Status transitions and error tracking - Enabled/disabled state management - Hit count tracking 4. **Embedding Model** (4 tests) - Embedding creation and storage - Pickle serialization/deserialization - Large vector handling (1536 dimensions) 5. **Supporting Models** (11 tests) - DatasetProcessRule modes and configuration - DatasetKeywordTable - AppDatasetJoin relationships - ChildChunk hierarchical structure 6. **Integration Tests** (10 tests) - Dataset-Document-Segment hierarchy - Navigation properties (previous/next segments) - Cascade operations and aggregations - Model serialization (to_dict) ### Testing Approach - Follows **TDD principles** with Arrange-Act-Assert structure - Uses `unittest.mock` for database operations to ensure unit test isolation - Maintains consistency with existing test patterns - All tests pass with 100% success rate (55/55) ## Test Results ```bash ========================================================= 55 passed, 48 warnings in 18.00s ========================================================= ``` ## 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
yindo added the pull-request label 2026-02-21 20:50:41 -05:00
yindo closed this issue 2026-02-21 20:50:41 -05:00
Sign in to join this conversation.
No Branch/Tag Specified
Branches Tags
Labels
Clear labels
Knowledge Pipeline
Proposal
WIP
cloud
dependencies
feat:webapp
good first issue
outdated
performance
pull-request
Mirrored from GitHub Pull Request
 python:uv
refactor
size:L
stale
status: accepting prs
status: blocked
status: in discussion
stt & tts
vulnerablity
web
wont-fix
🌊 feat:workflow
🌚 invalid
🐞 bug
👻 feat:rag
💪 enhancement
📚 documentation
🔨 feat:tools
🙋‍♂️ question
🙏 help wanted
🤔 cant-reproduce
🤖 feat:agent
No Label pull-request
Milestone
No items
No Milestone
Projects
Clear projects
No project
Assignees
Clear assignees
yindo
No Assignees
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: langgenius/dify#32068
Delete Branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?