Files
ai-training/_docs/02_tasks/done/AZ-156_test_label_validation.md
T
Oleksandr Bezdieniezhnykh cbf370c765 Refactor task management structure and update documentation
- Changed the directory structure for task specifications to include a dedicated `todo/` folder within `_docs/02_tasks/` for tasks ready for implementation.
- Updated references in various skills and documentation to reflect the new task lifecycle, including changes in the `implementer` and `decompose` skills.
- Enhanced the README and flow documentation to clarify the new task organization and its implications for the implementation process.

These updates improve task management clarity and streamline the implementation workflow.
2026-03-28 01:17:45 +02:00

1.7 KiB

Label Validation Tests

Task: AZ-156_test_label_validation Name: Label Validation Tests Description: Implement 5 blackbox tests for YOLO label validation — valid labels, out-of-range coords, missing files, multi-line corruption Complexity: 1 point Dependencies: AZ-152_test_infrastructure Component: Blackbox Tests Jira: AZ-156 Epic: AZ-151

Problem

Labels must be validated before dataset formation. Tests verify the check_label function correctly accepts valid labels and rejects corrupted ones.

Outcome

  • 5 passing pytest tests in tests/test_label_validation.py

Scope

Included

  • BT-LBL-01: Valid label accepted (returns True)
  • BT-LBL-02: Label with x > 1.0 rejected (returns False)
  • BT-LBL-03: Label with height > 1.0 rejected (returns False)
  • BT-LBL-04: Missing label file rejected (returns False)
  • BT-LBL-05: Multi-line label with one corrupted line (returns False)

Excluded

  • Integration with dataset formation (separate task)

Acceptance Criteria

AC-1: Valid label Given label file with content 0 0.5 0.5 0.1 0.1 When check_label(path) is called Then returns True

AC-2: x out of range Given label file with content 0 1.5 0.5 0.1 0.1 When check_label(path) is called Then returns False

AC-3: height out of range Given label file with content 0 0.5 0.5 0.1 1.2 When check_label(path) is called Then returns False

AC-4: Missing file Given non-existent file path When check_label(path) is called Then returns False

AC-5: Multi-line corruption Given label with 0 0.5 0.5 0.1 0.1\n3 0.5 0.5 0.1 1.5 When check_label(path) is called Then returns False

Constraints

  • Label files are generated in tmp_path at test time
  • No external fixtures needed