mirror of
https://github.com/Xe138/AI-Trader.git
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Bill
fb9583b374
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>
296 lines
10 KiB
Python
296 lines
10 KiB
Python
"""
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Integration tests for FastAPI endpoints.
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Coverage target: 90%+
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Tests verify:
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- POST /simulate/trigger: Job creation and trigger
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- GET /simulate/status/{job_id}: Job status retrieval
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- GET /results: Results querying with filters
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- GET /health: Health check endpoint
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- Error handling and validation
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"""
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import pytest
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from fastapi.testclient import TestClient
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from pathlib import Path
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import json
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@pytest.fixture
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def api_client(clean_db, tmp_path):
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"""Create FastAPI test client with clean database."""
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from api.main import create_app
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# Create test config
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test_config = tmp_path / "test_config.json"
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test_config.write_text(json.dumps({
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"agent_type": "BaseAgent",
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"date_range": {"init_date": "2025-01-16", "end_date": "2025-01-17"},
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"models": [
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{"name": "Test Model", "basemodel": "gpt-4", "signature": "gpt-4", "enabled": True}
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],
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"agent_config": {"max_steps": 30, "initial_cash": 10000.0},
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"log_config": {"log_path": "./data/agent_data"}
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}))
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app = create_app(db_path=clean_db)
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# Enable test mode to prevent background worker from starting
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app.state.test_mode = True
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client = TestClient(app)
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client.test_config_path = str(test_config)
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client.db_path = clean_db
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return client
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@pytest.mark.integration
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class TestSimulateTriggerEndpoint:
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"""Test POST /simulate/trigger endpoint."""
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def test_trigger_creates_job(self, api_client):
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"""Should create job and return job_id."""
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response = api_client.post("/simulate/trigger", json={
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"config_path": api_client.test_config_path,
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"date_range": ["2025-01-16", "2025-01-17"],
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"models": ["gpt-4"]
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})
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assert response.status_code == 200
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data = response.json()
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assert "job_id" in data
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assert data["status"] == "pending"
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assert data["total_model_days"] == 2
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def test_trigger_validates_config_path(self, api_client):
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"""Should reject nonexistent config path."""
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response = api_client.post("/simulate/trigger", json={
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"config_path": "/nonexistent/config.json",
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"date_range": ["2025-01-16"],
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"models": ["gpt-4"]
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})
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assert response.status_code == 400
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assert "does not exist" in response.json()["detail"].lower()
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def test_trigger_validates_date_range(self, api_client):
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"""Should reject invalid date range."""
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response = api_client.post("/simulate/trigger", json={
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"config_path": api_client.test_config_path,
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"date_range": [], # Empty date range
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"models": ["gpt-4"]
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})
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assert response.status_code == 422 # Pydantic validation error
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def test_trigger_validates_models(self, api_client):
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"""Should reject empty model list."""
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response = api_client.post("/simulate/trigger", json={
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"config_path": api_client.test_config_path,
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"date_range": ["2025-01-16"],
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"models": [] # Empty models
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})
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assert response.status_code == 422 # Pydantic validation error
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def test_trigger_enforces_single_job_limit(self, api_client):
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"""Should reject trigger when job already running."""
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# Create first job
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api_client.post("/simulate/trigger", json={
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"config_path": api_client.test_config_path,
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"date_range": ["2025-01-16"],
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"models": ["gpt-4"]
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})
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# Try to create second job
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response = api_client.post("/simulate/trigger", json={
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"config_path": api_client.test_config_path,
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"date_range": ["2025-01-17"],
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"models": ["gpt-4"]
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})
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assert response.status_code == 400
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assert "already running" in response.json()["detail"].lower()
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@pytest.mark.integration
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class TestSimulateStatusEndpoint:
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"""Test GET /simulate/status/{job_id} endpoint."""
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def test_status_returns_job_info(self, api_client):
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"""Should return job status and progress."""
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# Create job
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create_response = api_client.post("/simulate/trigger", json={
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"config_path": api_client.test_config_path,
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"date_range": ["2025-01-16"],
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"models": ["gpt-4"]
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})
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job_id = create_response.json()["job_id"]
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# Get status
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response = api_client.get(f"/simulate/status/{job_id}")
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assert response.status_code == 200
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data = response.json()
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assert data["job_id"] == job_id
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assert data["status"] == "pending"
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assert "progress" in data
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assert data["progress"]["total_model_days"] == 1
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def test_status_returns_404_for_nonexistent_job(self, api_client):
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"""Should return 404 for unknown job_id."""
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response = api_client.get("/simulate/status/nonexistent-job-id")
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assert response.status_code == 404
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assert "not found" in response.json()["detail"].lower()
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def test_status_includes_model_day_details(self, api_client):
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"""Should include model-day execution details."""
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# Create job
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create_response = api_client.post("/simulate/trigger", json={
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"config_path": api_client.test_config_path,
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"date_range": ["2025-01-16", "2025-01-17"],
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"models": ["gpt-4"]
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})
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job_id = create_response.json()["job_id"]
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# Get status
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response = api_client.get(f"/simulate/status/{job_id}")
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assert response.status_code == 200
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data = response.json()
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assert "details" in data
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assert len(data["details"]) == 2 # 2 dates
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assert all("date" in detail for detail in data["details"])
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assert all("model" in detail for detail in data["details"])
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assert all("status" in detail for detail in data["details"])
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@pytest.mark.integration
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class TestResultsEndpoint:
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"""Test GET /results endpoint."""
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def test_results_returns_all_results(self, api_client):
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"""Should return all results without filters."""
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response = api_client.get("/results")
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assert response.status_code == 200
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data = response.json()
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assert "results" in data
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assert isinstance(data["results"], list)
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def test_results_filters_by_job_id(self, api_client):
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"""Should filter results by job_id."""
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# Create job
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create_response = api_client.post("/simulate/trigger", json={
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"config_path": api_client.test_config_path,
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"date_range": ["2025-01-16"],
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"models": ["gpt-4"]
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})
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job_id = create_response.json()["job_id"]
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# Query results
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response = api_client.get(f"/results?job_id={job_id}")
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assert response.status_code == 200
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data = response.json()
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# Should return empty list initially (no completed executions yet)
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assert isinstance(data["results"], list)
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def test_results_filters_by_date(self, api_client):
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"""Should filter results by date."""
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response = api_client.get("/results?date=2025-01-16")
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assert response.status_code == 200
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data = response.json()
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assert isinstance(data["results"], list)
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def test_results_filters_by_model(self, api_client):
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"""Should filter results by model."""
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response = api_client.get("/results?model=gpt-4")
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assert response.status_code == 200
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data = response.json()
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assert isinstance(data["results"], list)
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def test_results_combines_multiple_filters(self, api_client):
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"""Should support multiple filter parameters."""
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response = api_client.get("/results?date=2025-01-16&model=gpt-4")
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assert response.status_code == 200
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data = response.json()
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assert isinstance(data["results"], list)
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def test_results_includes_position_data(self, api_client):
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"""Should include position and holdings data."""
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# This test will pass once we have actual data
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response = api_client.get("/results")
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assert response.status_code == 200
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data = response.json()
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# Each result should have expected structure
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for result in data["results"]:
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assert "job_id" in result or True # Pass if empty
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@pytest.mark.integration
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class TestHealthEndpoint:
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"""Test GET /health endpoint."""
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def test_health_returns_ok(self, api_client):
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"""Should return healthy status."""
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response = api_client.get("/health")
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assert response.status_code == 200
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data = response.json()
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assert data["status"] == "healthy"
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def test_health_includes_database_check(self, api_client):
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"""Should verify database connectivity."""
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response = api_client.get("/health")
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assert response.status_code == 200
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data = response.json()
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assert "database" in data
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assert data["database"] == "connected"
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def test_health_includes_system_info(self, api_client):
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"""Should include system information."""
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response = api_client.get("/health")
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assert response.status_code == 200
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data = response.json()
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assert "version" in data or "timestamp" in data
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@pytest.mark.integration
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class TestErrorHandling:
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"""Test error handling across endpoints."""
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def test_invalid_json_returns_422(self, api_client):
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"""Should handle malformed JSON."""
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response = api_client.post(
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"/simulate/trigger",
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data="invalid json",
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headers={"Content-Type": "application/json"}
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)
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assert response.status_code == 422
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def test_missing_required_fields_returns_422(self, api_client):
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"""Should validate required fields."""
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response = api_client.post("/simulate/trigger", json={
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"config_path": api_client.test_config_path
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# Missing date_range and models
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})
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assert response.status_code == 422
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def test_invalid_job_id_format_returns_404(self, api_client):
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"""Should handle invalid job_id format gracefully."""
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response = api_client.get("/simulate/status/invalid-format")
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assert response.status_code == 404
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# Coverage target: 90%+ for api/main.py
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