test_api.py

import requests
import json

# The URL of our running Flask API
API_URL = "http://127.0.0.1:5000/predict"

# Sample data for a single prediction (a normal-looking data point)
# This simulates a real-time reading from a sensor network.
sample_data = {
    "CO(GT)": 2.0,
    "PT08.S1(CO)": 1300.0,
    "NMHC(GT)": 100.0,
    "C6H6(GT)": 10.0,
    "PT08.S2(NMHC)": 950.0,
    "NOx(GT)": 150.0,
    "PT08.S3(NOx)": 1100.0,
    "NO2(GT)": 100.0,
    "PT08.S4(NO2)": 1600.0,
    "PT08.S5(O3)": 1200.0,
    "T": 15.0,
    "RH": 50.0,
    "AH": 0.8
}

# Send the POST request to the API
try:
    response = requests.post(API_URL, json=sample_data)
    response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx)

    # Pretty-print the JSON response from the server
    print("✅ API Response:")
    print(json.dumps(response.json(), indent=4))

except requests.exceptions.RequestException as e:
    print(f"❌ Could not connect to the API: {e}")