Commit Graph

4 Commits

Author SHA1 Message Date
6cb56f85ec test: update tests after removing _write_results_to_db()
- Updated create_mock_agent() to remove references to deleted methods (get_positions, get_last_trade, get_current_prices)
- Replaced position/holdings write tests with initial position creation test
- Added set_context AsyncMock to properly test async agent flow
- Skipped deprecated tests that verified removed _write_results_to_db() and _calculate_portfolio_value() methods
- All model_day_executor tests now pass (11 passed, 3 skipped)
2025-11-03 21:24:49 -05:00
f104164187 feat: implement reasoning logs API with database-only storage
Complete implementation of reasoning logs retrieval system that
replaces JSONL file-based logging with database-only storage.

Database Changes:
- Add trading_sessions table (one record per model-day)
- Add reasoning_logs table (conversation history with summaries)
- Add session_id column to positions table
- Add indexes for query performance

Agent Changes:
- Add conversation history tracking to BaseAgent
- Add AI-powered summary generation using same model
- Remove JSONL logging code (_log_message, _setup_logging)
- Preserve in-memory conversation tracking

ModelDayExecutor Changes:
- Create trading session at start of execution
- Store reasoning logs with AI-generated summaries
- Update session summary after completion
- Link positions to sessions via session_id

API Changes:
- Add GET /reasoning endpoint with filters (job_id, date, model)
- Support include_full_conversation parameter
- Return both summaries and full conversation on demand
- Include deployment mode info in responses

Documentation:
- Add complete API reference for GET /reasoning
- Add design document with architecture details
- Add implementation guide with step-by-step tasks
- Update Python and TypeScript client examples

Testing:
- Add 6 tests for conversation history tracking
- Add 4 tests for summary generation
- Add 5 tests for model_day_executor integration
- Add 8 tests for GET /reasoning endpoint
- Add 9 integration tests for E2E flow
- Update existing tests for schema changes

All 32 new feature tests passing. Total: 285 tests passing.
2025-11-02 18:31:02 -05:00
396a2747d3 fix: resolve async execution and position storage issues
- Fix async call in model_day_executor.py by wrapping with asyncio.run()
  Resolves RuntimeWarning where run_trading_session coroutine was never awaited
- Remove register_agent() call in API mode to prevent file-based position storage
  Position data is now stored exclusively in SQLite database (jobs.db)
- Update test mocks to use AsyncMock for async run_trading_session method

This fixes production deployment issues:
1. Trading sessions now execute properly (async bug)
2. No position files created, database-only storage
3. All tests pass

Closes issue with no trades being executed in production
2025-11-02 17:16:55 -05:00
fb9583b374 feat: transform to REST API service with SQLite persistence (v0.3.0)
Major architecture transformation from batch-only to API service with
database persistence for Windmill integration.

## REST API Implementation
- POST /simulate/trigger - Start simulation jobs
- GET /simulate/status/{job_id} - Monitor job progress
- GET /results - Query results with filters (job_id, date, model)
- GET /health - Service health checks

## Database Layer
- SQLite persistence with 6 tables (jobs, job_details, positions,
  holdings, reasoning_logs, tool_usage)
- Foreign key constraints with cascade deletes
- Replaces JSONL file storage

## Backend Components
- JobManager: Job lifecycle management with concurrency control
- RuntimeConfigManager: Thread-safe isolated runtime configs
- ModelDayExecutor: Single model-day execution engine
- SimulationWorker: Date-sequential, model-parallel orchestration

## Testing
- 102 unit and integration tests (85% coverage)
- Database: 98% coverage
- Job manager: 98% coverage
- API endpoints: 81% coverage
- Pydantic models: 100% coverage
- TDD approach throughout

## Docker Deployment
- Dual-mode: API server (persistent) + batch (one-time)
- Health checks with 30s interval
- Volume persistence for database and logs
- Separate entrypoints for each mode

## Validation Tools
- scripts/validate_docker_build.sh - Build validation
- scripts/test_api_endpoints.sh - Complete API testing
- scripts/test_batch_mode.sh - Batch mode validation
- DOCKER_API.md - Deployment guide
- TESTING_GUIDE.md - Testing procedures

## Configuration
- API_PORT environment variable (default: 8080)
- Backwards compatible with existing configs
- FastAPI, uvicorn, pydantic>=2.0 dependencies

Co-Authored-By: AI Assistant <noreply@example.com>
2025-10-31 11:47:10 -04:00