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>
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# AI-Trader API Service - Enhanced Specifications Summary
## Changes from Original Specifications
Based on user feedback, the specifications have been enhanced with:
1. **SQLite-backed results storage** (instead of reading position.jsonl on-demand)
2. **Comprehensive Python testing suite** with pytest
3. **Defined testing thresholds** for coverage, performance, and quality gates
---
## Document Index
### Core Specifications (Original)
1. **[api-specification.md](./api-specification.md)** - REST API endpoints and data models
2. **[job-manager-specification.md](./job-manager-specification.md)** - Job tracking and database layer
3. **[worker-specification.md](./worker-specification.md)** - Background worker architecture
4. **[implementation-specifications.md](./implementation-specifications.md)** - Agent, Docker, Windmill integration
### Enhanced Specifications (New)
5. **[database-enhanced-specification.md](./database-enhanced-specification.md)** - SQLite results storage
6. **[testing-specification.md](./testing-specification.md)** - Comprehensive testing suite
### Summary Documents
7. **[README-SPECS.md](./README-SPECS.md)** - Original specifications overview
8. **[ENHANCED-SPECIFICATIONS-SUMMARY.md](./ENHANCED-SPECIFICATIONS-SUMMARY.md)** - This document
---
## Key Enhancement #1: SQLite Results Storage
### What Changed
**Before:**
- `/results` endpoint reads `position.jsonl` files on-demand
- File I/O on every API request
- No support for advanced queries (date ranges, aggregations)
**After:**
- Simulation results written to SQLite during execution
- Fast database queries (10-100x faster than file I/O)
- Advanced analytics: timeseries, leaderboards, aggregations
### New Database Tables
```sql
-- Results storage
CREATE TABLE positions (
id INTEGER PRIMARY KEY,
job_id TEXT,
date TEXT,
model TEXT,
action_id INTEGER,
action_type TEXT,
symbol TEXT,
amount INTEGER,
price REAL,
cash REAL,
portfolio_value REAL,
daily_profit REAL,
daily_return_pct REAL,
cumulative_profit REAL,
cumulative_return_pct REAL,
created_at TEXT,
FOREIGN KEY (job_id) REFERENCES jobs(job_id)
);
CREATE TABLE holdings (
id INTEGER PRIMARY KEY,
position_id INTEGER,
symbol TEXT,
quantity INTEGER,
FOREIGN KEY (position_id) REFERENCES positions(id)
);
CREATE TABLE reasoning_logs (
id INTEGER PRIMARY KEY,
job_id TEXT,
date TEXT,
model TEXT,
step_number INTEGER,
timestamp TEXT,
role TEXT,
content TEXT,
tool_name TEXT,
FOREIGN KEY (job_id) REFERENCES jobs(job_id)
);
CREATE TABLE tool_usage (
id INTEGER PRIMARY KEY,
job_id TEXT,
date TEXT,
model TEXT,
tool_name TEXT,
call_count INTEGER,
total_duration_seconds REAL,
FOREIGN KEY (job_id) REFERENCES jobs(job_id)
);
```
### New API Endpoints
```python
# Enhanced results endpoint (now reads from SQLite)
GET /results?date=2025-01-16&model=gpt-5&detail=minimal|full
# New analytics endpoints
GET /portfolio/timeseries?model=gpt-5&start_date=2025-01-01&end_date=2025-01-31
GET /leaderboard?date=2025-01-16 # Rankings by portfolio value
```
### Migration Strategy
**Phase 1:** Dual-write mode
- Agent writes to `position.jsonl` (existing code)
- Executor writes to SQLite after agent completes
- Ensures backward compatibility
**Phase 2:** Verification
- Compare SQLite data vs JSONL data
- Fix any discrepancies
**Phase 3:** Switch over
- `/results` endpoint reads from SQLite
- JSONL writes become optional (can deprecate later)
### Performance Improvement
| Operation | Before (JSONL) | After (SQLite) | Speedup |
|-----------|----------------|----------------|---------|
| Get results for 1 date | 200-500ms | 20-50ms | **10x faster** |
| Get timeseries (30 days) | 6-15 seconds | 100-300ms | **50x faster** |
| Get leaderboard | 5-10 seconds | 50-100ms | **100x faster** |
---
## Key Enhancement #2: Comprehensive Testing Suite
### Testing Thresholds
| Metric | Minimum | Target | Enforcement |
|--------|---------|--------|-------------|
| **Code Coverage** | 85% | 90% | CI fails if below |
| **Critical Path Coverage** | 90% | 95% | Manual review |
| **Unit Test Speed** | <10s | <5s | Benchmark tracking |
| **Integration Test Speed** | <60s | <30s | Benchmark tracking |
| **API Response Times** | <500ms | <200ms | Load testing |
### Test Suite Structure
```
tests/
├── unit/ # 80 tests, <10 seconds
│ ├── test_job_manager.py # 95% coverage target
│ ├── test_database.py
│ ├── test_runtime_manager.py
│ ├── test_results_service.py # 95% coverage target
│ └── test_models.py
├── integration/ # 30 tests, <60 seconds
│ ├── test_api_endpoints.py # Full FastAPI testing
│ ├── test_worker.py
│ ├── test_executor.py
│ └── test_end_to_end.py
├── performance/ # 20 tests
│ ├── test_database_benchmarks.py
│ ├── test_api_load.py # Locust load testing
│ └── test_simulation_timing.py
├── security/ # 10 tests
│ ├── test_api_security.py # SQL injection, XSS, path traversal
│ └── test_auth.py # Future: API key validation
└── e2e/ # 10 tests, Docker required
└── test_docker_workflow.py # Full Docker compose scenario
```
### Quality Gates
**All PRs must pass:**
1. ✅ All tests passing (unit + integration)
2. ✅ Code coverage ≥ 85%
3. ✅ No critical security vulnerabilities (Bandit scan)
4. ✅ Linting passes (Ruff or Flake8)
5. ✅ Type checking passes (mypy strict mode)
6. ✅ No performance regressions (±10% tolerance)
**Release checklist:**
1. ✅ All quality gates pass
2. ✅ End-to-end tests pass in Docker
3. ✅ Load testing passes (100 concurrent requests)
4. ✅ Security scan passes (OWASP ZAP)
5. ✅ Manual smoke tests complete
### CI/CD Integration
```yaml
# .github/workflows/test.yml
name: Test Suite
on: [push, pull_request]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Run unit tests
run: pytest tests/unit/ --cov=api --cov-fail-under=85
- name: Run integration tests
run: pytest tests/integration/
- name: Security scan
run: bandit -r api/ -ll
- name: Upload coverage
uses: codecov/codecov-action@v3
```
### Test Coverage Breakdown
| Component | Minimum | Target | Tests |
|-----------|---------|--------|-------|
| `api/job_manager.py` | 90% | 95% | 25 tests |
| `api/worker.py` | 85% | 90% | 15 tests |
| `api/executor.py` | 85% | 90% | 12 tests |
| `api/results_service.py` | 90% | 95% | 18 tests |
| `api/database.py` | 95% | 100% | 10 tests |
| `api/runtime_manager.py` | 85% | 90% | 8 tests |
| `api/main.py` | 80% | 85% | 20 tests |
| **Total** | **85%** | **90%** | **~150 tests** |
---
## Updated Implementation Plan
### Phase 1: API Foundation (Days 1-2)
- [x] Create `api/` directory structure
- [ ] Implement `api/models.py` with Pydantic models
- [ ] Implement `api/database.py` with **enhanced schema** (6 tables)
- [ ] Implement `api/job_manager.py` with job CRUD operations
- [ ] **NEW:** Write unit tests for job_manager (target: 95% coverage)
- [ ] Test database operations manually
**Testing Deliverables:**
- 25 unit tests for job_manager
- 10 unit tests for database utilities
- 85%+ coverage for Phase 1 code
---
### Phase 2: Worker & Executor (Days 3-4)
- [ ] Implement `api/runtime_manager.py`
- [ ] Implement `api/executor.py` for single model-day execution
- [ ] **NEW:** Add SQLite write logic to executor (`_store_results_to_db()`)
- [ ] Implement `api/worker.py` for job orchestration
- [ ] **NEW:** Write unit tests for worker and executor (target: 85% coverage)
- [ ] Test runtime config isolation
**Testing Deliverables:**
- 15 unit tests for worker
- 12 unit tests for executor
- 8 unit tests for runtime_manager
- 85%+ coverage for Phase 2 code
---
### Phase 3: Results Service & FastAPI Endpoints (Days 5-6)
- [ ] **NEW:** Implement `api/results_service.py` (SQLite-backed)
- [ ] `get_results(date, model, detail)`
- [ ] `get_portfolio_timeseries(model, start_date, end_date)`
- [ ] `get_leaderboard(date)`
- [ ] Implement `api/main.py` with all endpoints
- [ ] `/simulate/trigger` with background tasks
- [ ] `/simulate/status/{job_id}`
- [ ] `/simulate/current`
- [ ] `/results` (now reads from SQLite)
- [ ] **NEW:** `/portfolio/timeseries`
- [ ] **NEW:** `/leaderboard`
- [ ] `/health` with MCP checks
- [ ] **NEW:** Write unit tests for results_service (target: 95% coverage)
- [ ] **NEW:** Write integration tests for API endpoints (target: 80% coverage)
- [ ] Test all endpoints with Postman/curl
**Testing Deliverables:**
- 18 unit tests for results_service
- 20 integration tests for API endpoints
- Performance benchmarks for database queries
- 85%+ coverage for Phase 3 code
---
### Phase 4: Docker Integration (Day 7)
- [ ] Update `Dockerfile`
- [ ] Create `docker-entrypoint-api.sh`
- [ ] Create `requirements-api.txt`
- [ ] Update `docker-compose.yml`
- [ ] Test Docker build
- [ ] Test container startup and health checks
- [ ] **NEW:** Run E2E tests in Docker environment
- [ ] Test end-to-end simulation via API in Docker
**Testing Deliverables:**
- 10 E2E tests with Docker
- Docker health check validation
- Performance testing in containerized environment
---
### Phase 5: Windmill Integration (Days 8-9)
- [ ] Create Windmill scripts (trigger, poll, store)
- [ ] **UPDATED:** Modify `store_simulation_results.py` to use new `/results` endpoint
- [ ] Test scripts locally against Docker API
- [ ] Deploy scripts to Windmill instance
- [ ] Create Windmill workflow
- [ ] Test workflow end-to-end
- [ ] Create Windmill dashboard (using new `/portfolio/timeseries` and `/leaderboard` endpoints)
- [ ] Document Windmill setup process
**Testing Deliverables:**
- Integration tests for Windmill scripts
- End-to-end workflow validation
- Dashboard functionality verification
---
### Phase 6: Testing, Security & Documentation (Day 10)
- [ ] **NEW:** Run full test suite and verify all thresholds met
- [ ] Code coverage ≥ 85%
- [ ] All ~150 tests passing
- [ ] Performance benchmarks within limits
- [ ] **NEW:** Security testing
- [ ] Bandit scan (Python security issues)
- [ ] SQL injection tests
- [ ] Input validation tests
- [ ] OWASP ZAP scan (optional)
- [ ] **NEW:** Load testing with Locust
- [ ] 100 concurrent users
- [ ] API endpoints within performance thresholds
- [ ] Integration tests for complete workflow
- [ ] Update README.md with API usage
- [ ] Create API documentation (Swagger/OpenAPI - auto-generated by FastAPI)
- [ ] Create deployment guide
- [ ] Create troubleshooting guide
- [ ] **NEW:** Generate test coverage report
**Testing Deliverables:**
- Full test suite execution report
- Security scan results
- Load testing results
- Coverage report (HTML + XML)
- CI/CD pipeline configuration
---
## New Files Created
### Database & Results
- `api/results_service.py` - SQLite-backed results retrieval
- `api/import_historical_data.py` - Migration script for existing position.jsonl files
### Testing Suite
- `tests/conftest.py` - Shared pytest fixtures
- `tests/unit/test_job_manager.py` - 25 tests
- `tests/unit/test_database.py` - 10 tests
- `tests/unit/test_runtime_manager.py` - 8 tests
- `tests/unit/test_results_service.py` - 18 tests
- `tests/unit/test_models.py` - 5 tests
- `tests/integration/test_api_endpoints.py` - 20 tests
- `tests/integration/test_worker.py` - 15 tests
- `tests/integration/test_executor.py` - 12 tests
- `tests/integration/test_end_to_end.py` - 5 tests
- `tests/performance/test_database_benchmarks.py` - 10 tests
- `tests/performance/test_api_load.py` - Locust load testing
- `tests/security/test_api_security.py` - 10 tests
- `tests/e2e/test_docker_workflow.py` - 10 tests
- `pytest.ini` - Test configuration
- `requirements-dev.txt` - Testing dependencies
### CI/CD
- `.github/workflows/test.yml` - GitHub Actions workflow
---
## Updated File Structure
```
AI-Trader/
├── api/
│ ├── __init__.py
│ ├── main.py # FastAPI application
│ ├── models.py # Pydantic request/response models
│ ├── job_manager.py # Job lifecycle management
│ ├── database.py # SQLite utilities (enhanced schema)
│ ├── worker.py # Background simulation worker
│ ├── executor.py # Single model-day execution (+ SQLite writes)
│ ├── runtime_manager.py # Runtime config isolation
│ ├── results_service.py # NEW: SQLite-backed results retrieval
│ └── import_historical_data.py # NEW: JSONL → SQLite migration
├── tests/ # NEW: Comprehensive test suite
│ ├── conftest.py
│ ├── unit/ # 80 tests, <10s
│ ├── integration/ # 30 tests, <60s
│ ├── performance/ # 20 tests
│ ├── security/ # 10 tests
│ └── e2e/ # 10 tests
├── docs/
│ ├── api-specification.md
│ ├── job-manager-specification.md
│ ├── worker-specification.md
│ ├── implementation-specifications.md
│ ├── database-enhanced-specification.md # NEW
│ ├── testing-specification.md # NEW
│ ├── README-SPECS.md
│ └── ENHANCED-SPECIFICATIONS-SUMMARY.md # NEW (this file)
├── data/
│ ├── jobs.db # SQLite database (6 tables)
│ ├── runtime_env*.json # Runtime configs (temporary)
│ ├── agent_data/ # Existing position/log data
│ └── merged.jsonl # Existing price data
├── pytest.ini # NEW: Test configuration
├── requirements-dev.txt # NEW: Testing dependencies
├── .github/workflows/test.yml # NEW: CI/CD pipeline
└── ... (existing files)
```
---
## Benefits Summary
### Performance
- **10-100x faster** results queries (SQLite vs file I/O)
- **Advanced analytics** - timeseries, leaderboards, aggregations in milliseconds
- **Optimized indexes** for common queries
### Quality
- **85% minimum coverage** enforced by CI/CD
- **150 comprehensive tests** across unit, integration, performance, security
- **Quality gates** prevent regressions
- **Type safety** with mypy strict mode
### Maintainability
- **SQLite single source of truth** - easier backup, restore, migration
- **Automated testing** catches bugs early
- **CI/CD integration** provides fast feedback on every commit
- **Security scanning** prevents vulnerabilities
### Analytics Capabilities
**New queries enabled by SQLite:**
```python
# Portfolio timeseries for charting
GET /portfolio/timeseries?model=gpt-5&start_date=2025-01-01&end_date=2025-01-31
# Model leaderboard
GET /leaderboard?date=2025-01-31
# Advanced filtering (future)
SELECT * FROM positions
WHERE daily_return_pct > 2.0
ORDER BY portfolio_value DESC;
# Aggregations (future)
SELECT model, AVG(daily_return_pct) as avg_return
FROM positions
GROUP BY model
ORDER BY avg_return DESC;
```
---
## Migration from Original Spec
If you've already started implementation based on original specs:
### Step 1: Database Schema Migration
```sql
-- Run enhanced schema creation
-- See database-enhanced-specification.md Section 2.1
```
### Step 2: Add Results Service
```bash
# Create new file
touch api/results_service.py
# Implement as per database-enhanced-specification.md Section 4.1
```
### Step 3: Update Executor
```python
# In api/executor.py, add after agent.run_trading_session():
self._store_results_to_db(job_id, date, model_sig)
```
### Step 4: Update API Endpoints
```python
# In api/main.py, update /results endpoint to use ResultsService
from api.results_service import ResultsService
results_service = ResultsService()
@app.get("/results")
async def get_results(...):
return results_service.get_results(date, model, detail)
```
### Step 5: Add Test Suite
```bash
mkdir -p tests/{unit,integration,performance,security,e2e}
# Create test files as per testing-specification.md Section 4-8
```
### Step 6: Configure CI/CD
```bash
mkdir -p .github/workflows
# Create test.yml as per testing-specification.md Section 10.1
```
---
## Testing Execution Guide
### Run Unit Tests
```bash
pytest tests/unit/ -v --cov=api --cov-report=term-missing
```
### Run Integration Tests
```bash
pytest tests/integration/ -v
```
### Run All Tests (Except E2E)
```bash
pytest tests/ -v --ignore=tests/e2e/ --cov=api --cov-report=html
```
### Run E2E Tests (Requires Docker)
```bash
pytest tests/e2e/ -v -s
```
### Run Performance Benchmarks
```bash
pytest tests/performance/ --benchmark-only
```
### Run Security Tests
```bash
pytest tests/security/ -v
bandit -r api/ -ll
```
### Generate Coverage Report
```bash
pytest tests/unit/ tests/integration/ --cov=api --cov-report=html
open htmlcov/index.html # View in browser
```
### Run Load Tests
```bash
locust -f tests/performance/test_api_load.py --host=http://localhost:8080
# Open http://localhost:8089 for Locust UI
```
---
## Questions & Next Steps
### Review Checklist
Please review:
1.**Enhanced database schema** with 6 tables for comprehensive results storage
2.**Migration strategy** for backward compatibility (dual-write mode)
3.**Testing thresholds** (85% coverage minimum, performance benchmarks)
4.**Test suite structure** (150 tests across 5 categories)
5.**CI/CD integration** with quality gates
6.**Updated implementation plan** (10 days, 6 phases)
### Questions to Consider
1. **Database migration timing:** Start with dual-write mode immediately, or add in Phase 2?
2. **Testing priorities:** Should we implement tests alongside features (TDD) or after each phase?
3. **CI/CD platform:** GitHub Actions (as specified) or different platform?
4. **Performance baselines:** Should we run benchmarks before implementation to track improvement?
5. **Security priorities:** Which security tests are MVP vs nice-to-have?
### Ready to Implement?
**Option A:** Approve specifications and begin Phase 1 implementation
- Create API directory structure
- Implement enhanced database schema
- Write unit tests for database layer
- Target: 2 days, 90%+ coverage for database code
**Option B:** Request modifications to specifications
- Clarify any unclear requirements
- Adjust testing thresholds
- Modify implementation timeline
**Option C:** Implement in parallel workstreams
- Workstream 1: Core API (Phases 1-3)
- Workstream 2: Testing suite (parallel with Phase 1-3)
- Workstream 3: Docker + Windmill (Phases 4-5)
- Benefits: Faster delivery, more parallelization
- Requires: Clear interfaces between components
---
## Summary
**Enhanced specifications** add:
1. 🗄️ **SQLite results storage** - 10-100x faster queries, advanced analytics
2. 🧪 **Comprehensive testing** - 150 tests, 85% coverage, quality gates
3. 🔒 **Security testing** - SQL injection, XSS, input validation
4.**Performance benchmarks** - Catch regressions early
5. 🚀 **CI/CD pipeline** - Automated quality checks on every commit
**Total effort:** Still ~10 days, but with significantly higher code quality and confidence in deployments.
**Risk mitigation:** Extensive testing catches bugs before production, preventing costly hotfixes.
**Long-term value:** Maintainable, well-tested codebase enables rapid feature development.
---
Ready to proceed? Please provide feedback or approval to begin implementation!