Create example_usage.py

examples/example_usage.py

@@ -0,0 +1,44 @@
+# example_usage.py
+
+import requests
+import yaml
+
+# Load configuration
+with open('example_config.yaml', 'r') as file:
+    config = yaml.safe_load(file)
+
+# API settings
+api_host = config['api']['host']
+api_port = config['api']['port']
+climate_data_endpoint = f"http://{api_host}:{api_port}{config['api']['endpoints']['climate_data']}"
+predictive_model_endpoint = f"http://{api_host}:{api_port}{config['api']['endpoints']['predictive_model']}"
+
+# Fetch climate data
+def fetch_climate_data():
+    response = requests.get(climate_data_endpoint)
+    if response.status_code == 200:
+        data = response.json()
+        print("Climate Data:", data)
+    else:
+        print("Failed to fetch climate data:", response.status_code)
+
+# Make a prediction
+def make_prediction(input_data):
+    response = requests.post(predictive_model_endpoint, json=input_data)
+    if response.status_code == 200:
+        prediction = response.json()
+        print("Prediction:", prediction)
+    else:
+        print("Failed to make prediction:", response.status_code)
+
+if __name__ == "__main__":
+    fetch_climate_data()
+
+    # Example input data for prediction
+    input_data = {
+        "temperature": 22.5,
+        "humidity": 60,
+        "co2_levels": 400
+    }
+
+    make_prediction(input_data)