This commit migrates the system to database-only position storage,
eliminating file-based position.jsonl dependencies and fixing
ContextInjector initialization timing issues.
Key Changes:
1. ContextInjector Lifecycle Refactor:
- Remove ContextInjector creation from BaseAgent.__init__()
- Add BaseAgent.set_context() method for post-initialization injection
- Update ModelDayExecutor to create ContextInjector with correct trading day date
- Ensures ContextInjector receives actual trading date instead of init_date
- Includes session_id injection for proper database linking
2. Database Position Functions:
- Implement get_today_init_position_from_db() for querying previous positions
- Implement add_no_trade_record_to_db() for no-trade day handling
- Both functions query SQLite directly (positions + holdings tables)
- Handle first trading day case with initial cash return
- Include comprehensive error handling and logging
3. System Integration:
- Update get_agent_system_prompt() to use database queries
- Update _handle_trading_result() to write no-trade records to database
- Remove dependencies on position.jsonl file reading/writing
- Use deployment_config for automatic prod/dev database resolution
Data Flow:
- ModelDayExecutor creates runtime config and trading session
- Agent initialized without context
- ContextInjector created with (signature, date, job_id, session_id)
- Context injected via set_context()
- System prompt queries database for yesterday's position
- Trade tools write directly to database
- No-trade handler creates database records
Fixes:
- ContextInjector no longer receives None values
- No FileNotFoundError for missing position.jsonl files
- Database is single source of truth for position tracking
- Session linking maintained across all position records
Design: docs/plans/2025-02-11-database-position-tracking-design.md
