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| import requests | |
| import json | |
| import time | |
| # CONFIG | |
| BASE_URL = "https://ayush472-envirolytics-backend.hf.space" | |
| # BASE_URL = "http://localhost:8000" # Uncomment to test local | |
| def print_result(name, response, expected_status=200): | |
| print(f"\n--- {name} ---") | |
| if response.status_code == expected_status: | |
| print(f"β STATUS: {response.status_code} (OK)") | |
| try: | |
| print("DATA:", json.dumps(response.json(), indent=2)) | |
| except: | |
| print("DATA:", response.text) | |
| else: | |
| print(f"β FAILED: {response.status_code}") | |
| print("MSG:", response.text) | |
| def run_tests(): | |
| print(f"Testing Environment: {BASE_URL}") | |
| print("Wait for 'Cold Start' if this is the first run...") | |
| # 1. Root | |
| try: | |
| resp = requests.get(f"{BASE_URL}/") | |
| print_result("Root Check", resp) | |
| except Exception as e: | |
| print(f"β Connection Failed: {e}") | |
| return | |
| # 2. Live Status (DB & OpenAQ) | |
| resp = requests.get(f"{BASE_URL}/api/live-status") | |
| print_result("Live Status", resp) | |
| # 3. Source Attribution (ML Model) | |
| resp = requests.get(f"{BASE_URL}/api/analysis/source-attribution") | |
| print_result("Source Attribution", resp) | |
| # 4. Green QR (Metro) - Database Log Check | |
| payload = { | |
| "user_gps": [28.6139, 77.2090], | |
| "station_gps": [28.6140, 77.2090], | |
| "transport_mode": "METRO" | |
| } | |
| resp = requests.post(f"{BASE_URL}/api/enforce/green-qr", json=payload) | |
| print_result("Green QR (Metro)", resp) | |
| # 5. Industry Audit (Fraud Model) | |
| audit_load = { | |
| "industry_id": "TEST_IND_01", | |
| "nearest_station_pm25": 200.0, | |
| "sensor_readings": { | |
| "pm25": 10.0, | |
| "no2": 20.0, | |
| "so2": 5.0, | |
| "co": 0.5, | |
| "wind": 2.5, | |
| "temp": 25.0 | |
| } | |
| } | |
| resp = requests.post(f"{BASE_URL}/api/government/audit-industry", json=audit_load) | |
| print_result("Industry Audit", resp) | |
| if __name__ == "__main__": | |
| run_tests() | |