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60 Commits

Author SHA1 Message Date
Bill
03f81b3b5c feat: add config file loading with error handling 
Implement load_config() function with comprehensive error handling
- Loads and parses JSON config files
- Raises ConfigValidationError for missing files
- Raises ConfigValidationError for malformed JSON
- Includes 3 passing tests for all error cases

Test coverage:
- test_load_config_valid_json: Verifies successful JSON parsing
- test_load_config_file_not_found: Validates error on missing file
- test_load_config_invalid_json: Validates error on malformed JSON
 2025-11-01 16:55:40 -04:00
Bill
fcf832c7d6 test: add end-to-end integration tests for dev mode 2025-11-01 11:41:22 -04:00
Bill
b09e1b0b11 feat: integrate mock AI provider in BaseAgent for DEV mode 
Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-01 11:25:49 -04:00
Bill
837962ceea feat: integrate deployment mode path resolution in database module 2025-11-01 11:22:03 -04:00
Bill
8fb2ead8ff feat: add dev database initialization and cleanup functions 2025-11-01 11:20:15 -04:00
Bill
2ed6580de4 feat: add deployment mode configuration utilities 2025-11-01 11:18:39 -04:00
Bill
9ffd42481a feat: add LangChain-compatible mock chat model wrapper 
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-01 11:15:59 -04:00
Bill
b6867c9c16 feat: add mock AI provider for dev mode with stock rotation 2025-11-01 11:07:46 -04:00
Bill
c3ea358a12 test: add comprehensive test suite for v0.3.0 on-demand price downloads 
Add 64 new tests covering date utilities, price data management, and
on-demand download workflows with 100% coverage for date_utils and 85%
coverage for price_data_manager.

New test files:
- tests/unit/test_date_utils.py (22 tests)
  * Date range expansion and validation
  * Max simulation days configuration
  * Chronological ordering and boundary checks
  * 100% coverage of api/date_utils.py

- tests/unit/test_price_data_manager.py (33 tests)
  * Initialization and configuration
  * Symbol date retrieval and coverage detection
  * Priority-based download ordering
  * Rate limit and error handling
  * Data storage and coverage tracking
  * 85% coverage of api/price_data_manager.py

- tests/integration/test_on_demand_downloads.py (10 tests)
  * End-to-end download workflows
  * Rate limit handling with graceful degradation
  * Coverage tracking and gap detection
  * Data validation and filtering

Code improvements:
- Add DownloadError exception class for non-rate-limit failures
- Update all ValueError raises to DownloadError for consistency
- Add API key validation at download start
- Improve response validation to check for Meta Data

Test coverage:
- 64 tests passing (54 unit + 10 integration)
- api/date_utils.py: 100% coverage
- api/price_data_manager.py: 85% coverage
- Validates priority-first download strategy
- Confirms graceful rate limit handling
- Verifies database storage and retrieval

Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-31 17:13:03 -04:00
Bill
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