Create tests/test_api.py
Browse files- tests/test_api.py +68 -0
tests/test_api.py
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import sys
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import os
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from fastapi.testclient import TestClient
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# Add project root to path
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
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from app.main import app, load_models
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# 1. FORCE LOAD MODELS MANUALLY
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# This ensures they are ready before tests run
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print("⚙️ Forcing Model Load for Testing...")
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load_models()
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client = TestClient(app)
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def test_health_check():
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"""Test if the API is alive and models are loaded."""
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print("\n🔍 Testing Health Endpoint...")
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response = client.get("/health")
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# Debugging print
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print(f" Response: {response.json()}")
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assert response.status_code == 200
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data = response.json()
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# Crucial check: Status MUST be healthy now
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assert data["status"] == "healthy"
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print("✅ Health Check Passed!")
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def test_prediction_endpoint():
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"""Test the End-to-End Prediction pipeline with valid data."""
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print("\n🔍 Testing Prediction Endpoint...")
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payload = {
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"tmmn": 290.0, "tmmx": 305.0, "rmin": 15.0, "rmax": 45.0,
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"vs": 6.5, "pr": 0.0, "erc": 50.0,
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"latitude": 34.0, "longitude": -118.0
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}
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response = client.post("/predict", json=payload)
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# If this fails, print the error detail
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if response.status_code != 200:
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print(f"❌ API Error: {response.json()}")
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assert response.status_code == 200
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data = response.json()
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# Verify Content
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assert "burning_index_prediction" in data
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assert "risk_level_prediction" in data
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assert "cluster_zone" in data
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print("✅ Prediction Logic Passed!")
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print(f" 🔥 Predicted BI: {data['burning_index_prediction']}")
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print(f" ⚠️ Risk Level: {data['risk_level_prediction']}")
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if __name__ == "__main__":
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try:
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test_health_check()
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test_prediction_endpoint()
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print("\n🎉 ALL API TESTS PASSED SUCCESSFULLY.")
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except AssertionError as e:
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print(f"\n❌ TEST FAILED: Assertion Error")
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except Exception as e:
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print(f"\n❌ CRITICAL ERROR: {e}")
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