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Parse and return job warnings from database. Co-Authored-By: Claude <noreply@anthropic.com>
416 lines
14 KiB
Python
416 lines
14 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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"start_date": "2025-01-16",
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"end_date": "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_single_date(self, api_client):
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"""Should create job for single date."""
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response = api_client.post("/simulate/trigger", json={
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"start_date": "2025-01-16",
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"end_date": "2025-01-16",
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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 data["total_model_days"] == 1
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def test_trigger_resume_mode_cold_start(self, api_client):
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"""Should use end_date as single day when no existing data (cold start)."""
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response = api_client.post("/simulate/trigger", json={
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"start_date": None,
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"end_date": "2025-01-16",
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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 data["total_model_days"] == 1
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assert "resume mode" in data["message"]
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def test_trigger_requires_end_date(self, api_client):
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"""Should reject request with missing end_date."""
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response = api_client.post("/simulate/trigger", json={
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"start_date": "2025-01-16",
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"end_date": "",
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"models": ["gpt-4"]
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})
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assert response.status_code == 422
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assert "end_date" in str(response.json()["detail"]).lower()
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def test_trigger_rejects_null_end_date(self, api_client):
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"""Should reject request with null end_date."""
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response = api_client.post("/simulate/trigger", json={
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"start_date": "2025-01-16",
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"end_date": None,
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"models": ["gpt-4"]
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})
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assert response.status_code == 422
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def test_trigger_validates_models(self, api_client):
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"""Should use enabled models from config when models not specified."""
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response = api_client.post("/simulate/trigger", json={
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"start_date": "2025-01-16",
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"end_date": "2025-01-16"
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# models not specified - should use enabled models from config
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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 data["total_model_days"] >= 1
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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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"start_date": "2025-01-16",
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"end_date": "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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"start_date": "2025-01-17",
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"end_date": "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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def test_trigger_idempotent_behavior(self, api_client):
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"""Should skip already completed dates when replace_existing=false."""
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# This test would need a completed job first
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# For now, just verify the parameter is accepted
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response = api_client.post("/simulate/trigger", json={
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"start_date": "2025-01-16",
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"end_date": "2025-01-16",
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"models": ["gpt-4"],
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"replace_existing": False
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})
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assert response.status_code == 200
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def test_trigger_replace_existing_flag(self, api_client):
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"""Should accept replace_existing flag."""
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response = api_client.post("/simulate/trigger", json={
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"start_date": "2025-01-16",
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"end_date": "2025-01-16",
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"models": ["gpt-4"],
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"replace_existing": True
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})
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assert response.status_code == 200
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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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"start_date": "2025-01-16",
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"end_date": "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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"start_date": "2025-01-16",
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"end_date": "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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"start_date": "2025-01-16",
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"end_date": "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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"start_date": "2025-01-16"
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# Missing end_date
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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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@pytest.mark.integration
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class TestAsyncDownload:
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"""Test async price download behavior."""
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def test_trigger_endpoint_fast_response(self, api_client):
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"""Test that /simulate/trigger responds quickly without downloading data."""
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import time
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start_time = time.time()
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response = api_client.post("/simulate/trigger", json={
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"start_date": "2025-10-01",
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"end_date": "2025-10-01",
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"models": ["gpt-4"]
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})
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elapsed = time.time() - start_time
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# Should respond in less than 2 seconds (allowing for DB operations)
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assert elapsed < 2.0
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assert response.status_code == 200
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assert "job_id" in response.json()
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def test_trigger_endpoint_no_price_download(self, api_client):
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"""Test that endpoint doesn't import or use PriceDataManager."""
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import api.main
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# Verify PriceDataManager is not imported in api.main
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assert not hasattr(api.main, 'PriceDataManager'), \
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"PriceDataManager should not be imported in api.main"
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# Endpoint should still create job successfully
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response = api_client.post("/simulate/trigger", json={
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"start_date": "2025-10-01",
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"end_date": "2025-10-01",
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"models": ["gpt-4"]
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})
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assert response.status_code == 200
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assert "job_id" in response.json()
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def test_status_endpoint_returns_warnings(self, api_client):
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"""Test that /simulate/status returns warnings field."""
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from api.database import initialize_database
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from api.job_manager import JobManager
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# Create job with warnings
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db_path = api_client.db_path
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job_manager = JobManager(db_path=db_path)
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job_id = job_manager.create_job(
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config_path="config.json",
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date_range=["2025-10-01"],
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models=["gpt-5"]
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)
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# Add warnings
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warnings = ["Rate limited", "Skipped 1 date"]
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job_manager.add_job_warnings(job_id, warnings)
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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 "warnings" in data
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assert data["warnings"] == warnings
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# Coverage target: 90%+ for api/main.py
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