Files
ai-training/_docs/_autopilot_state.md
T
Oleksandr Bezdieniezhnykh 142c6c4de8 Refactor constants management to use Pydantic BaseModel for configuration
- Replaced module-level path variables in constants.py with a structured Pydantic Config class.
- Updated all relevant modules (train.py, augmentation.py, exports.py, dataset-visualiser.py, manual_run.py) to access paths through the new config structure.
- Fixed bugs related to image processing and model saving.
- Enhanced test infrastructure to accommodate the new configuration approach.

This refactor improves code maintainability and clarity by centralizing configuration management.
2026-03-27 18:18:30 +02:00

5.4 KiB

Autopilot State

Current Step

flow: existing-code step: 6 name: Refactor status: in_progress sub_step: 0 retry_count: 0

Completed Steps

Step Name Completed Key Outcome
1 (sub 0) Document — Discovery 2026-03-26 21 modules, 8 components identified, dependency graph built
1 (sub 1) Document — Module Docs 2026-03-26 21/21 module docs written in 7 batches
1 (sub 2) Document — Component Assembly 2026-03-26 8 components: Core, Security, API&CDN, Data Models, Data Pipeline, Training, Inference, Annotation Queue
1 (sub 3) Document — System Synthesis 2026-03-26 architecture.md, system-flows.md (5 flows), data_model.md
1 (sub 4) Document — Verification 2026-03-26 87 entities verified, 0 hallucinations, 5 code bugs found, 3 security issues
1 (sub 5) Document — Solution Extraction 2026-03-26 solution.md with component solution tables, testing strategy, deployment architecture
1 (sub 6) Document — Problem Extraction 2026-03-26 problem.md, restrictions.md, acceptance_criteria.md, data_parameters.md, security_approach.md
1 (sub 7) Document — Final Report 2026-03-26 FINAL_report.md with executive summary, risk observations, artifact index
1 Document 2026-03-26 Full 8-step documentation complete: 21 modules, 8 components, 45+ artifacts
2 (sub 1) Test Spec — Phase 1 2026-03-26 Input data analysis: 100 images + ONNX model, 75% coverage (12/16 criteria), above 70% threshold
2 (sub 2) Test Spec — Phase 2 2026-03-26 55 test scenarios across 5 categories: 32 blackbox, 5 performance, 6 resilience, 7 security, 5 resource limit. 80.6% AC coverage
2 (sub 3) Test Spec — Phase 3 2026-03-26 Test Data Validation Gate PASSED: all 55 tests have input data + quantifiable expected results. 0 removals. Coverage 80.6%
2 (sub 4) Test Spec — Phase 4 2026-03-26 Generated: run-tests-local.sh, run-performance-tests.sh, Dockerfile.test, docker-compose.test.yml, requirements-test.txt
2 Test Spec 2026-03-26 Full 4-phase test spec complete: 55 scenarios, 37 expected result mappings, 80.6% coverage, runner scripts generated
3 (sub 1t) Decompose Tests — Infrastructure 2026-03-26 Test infrastructure bootstrap task: pytest config, fixtures, conftest, Docker env, constants patching
3 (sub 3) Decompose Tests — Test Tasks 2026-03-26 11 test tasks decomposed from 55 scenarios, grouped by functional area
3 (sub 4) Decompose Tests — Verification 2026-03-26 All 29 covered AC verified, no circular deps, no overlaps, dependencies table produced
3 Decompose Tests 2026-03-26 12 tasks total (1 infrastructure + 11 test tasks), 25 complexity points, 2 implementation batches
4 Implement Tests 2026-03-26 12/12 tasks implemented, 76 tests passing, 4 commits across 4 sub-batches
5 Run Tests 2026-03-26 76 passed, 0 failed, 0 skipped. JUnit XML in test-results/

Key Decisions

  • Component breakdown: 8 components confirmed by user
  • Documentation structure: Keep both modules/ and components/ levels (user confirmed)
  • Skill modifications: Refactor step made optional in existing-code flow; doc update phase added to refactoring skill
  • Problem extraction documents approved by user without corrections
  • Test scope: Cover all components testable without external services (option B). Inference test is smoke-only (detects something, no precision). User will provide expected detection results later.
  • Fixture data: User provided 100 images + labels + ONNX model (81MB)
  • Test execution: Two modes required — local (no Docker, primary for macOS dev) + Docker (CI/portable). Both run the same pytest suite.
  • Tracker: jira (project AZ, cloud 1598226f-845f-4705-bcd1-5ed0c82d6119)
  • Epic: AZ-151 (Blackbox Tests), 12 tasks: AZ-152 to AZ-163
  • Task grouping: 55 test scenarios grouped into 11 atomic tasks by functional area, all ≤ 3 complexity points
  • Refactor approach: Pydantic BaseModel config chosen over env vars / dataclass / plain dict. pydantic 2.12.5 already installed via ultralytics.

Refactor Progress (Step 6)

Work done so far (across multiple sessions):

  • Replaced module-level path variables + get_paths/reload_config in constants.py with Pydantic Config(BaseModel) — paths defined once as @property
  • Migrated all 5 production callers (train.py, augmentation.py, exports.py, dataset-visualiser.py, manual_run.py) to constants.config.X
  • Fixed device=0 bug in exports.py, fixed total_to_process bug in augmentation.py
  • Simplified test infrastructure: conftest.py apply_constants_patch reduced to single config swap
  • Updated 7 test files to use constants.config.X
  • Rewrote E2E test to AAA pattern: Arrange (copy raw data), Act (production functions only: augment_annotations, train_dataset, export_onnx, export_coreml), Assert (7 test methods)
  • All 83 tests passing (76 non-E2E + 7 E2E)
  • Refactor test verification phase still pending

Last Session

date: 2026-03-27 ended_at: Step 6 Refactor — implementation done, test verification pending reason: user indicated test phase not yet completed notes: Pydantic config refactor + E2E rewrite implemented. 83/83 tests pass. Formal test verification phase of refactoring still pending.

Retry Log

Attempt Step Name SubStep Failure Reason Timestamp

Blockers

  • none