Create data_analysis.py

data_analysis.py

@@ -0,0 +1,37 @@
+import requests
+import pandas as pd
+from config import NREL_API_KEY, IEA_API_KEY, IRENA_API_KEY, DOE_API_KEY, GROQ_API_KEY
+from groq import Groq
+
+# Function to fetch hydrogen data from different APIs
+def fetch_hydrogen_data(source):
+    if source == "NREL":
+        url = f"https://developer.nrel.gov/api/hydrogen/v1/stations.json?api_key={NREL_API_KEY}"
+    elif source == "IEA":
+        url = f"https://api.iea.org/hydrogen?api_key={IEA_API_KEY}"
+    elif source == "IRENA":
+        url = f"https://api.irena.org/hydrogen?api_key={IRENA_API_KEY}"
+    elif source == "DOE":
+        url = f"https://api.doe.gov/hydrogen?api_key={DOE_API_KEY}"
+    else:
+        return pd.DataFrame()
+
+    response = requests.get(url)
+    if response.status_code == 200:
+        data = response.json()
+        return pd.DataFrame(data["results"])
+    else:
+        return pd.DataFrame()
+
+# Function for AI-powered analysis using Groq API
+def groq_ai_analysis(data):
+    groq_api = Groq(api_key=GROQ_API_KEY)
+    
+    query = f"Analyze hydrogen electrolysis data: {data.to_dict()}"
+    
+    response = groq_api.chat.completions.create(
+        messages=[{"role": "user", "content": query}],
+        model="llama3-70b-8192"
+    )
+    
+    return response.choices[0].message["content"]