Create Appy.py

Appy.py

@@ -0,0 +1,58 @@
+# Datei: app.py
+import json
+import uuid
+import time
+import gradio as gr
+from firebase_service import track_and_attribute_revenue_to_db
+
+# --- HIER: DIE ERSTE MCP-FUNKTION ---
+def track_and_attribute_revenue(source: str, product_id: str, amount: float, lead_id: str = None) -> str:
+    """
+    MCP-Funktion zur Verbuchung von Umsätzen. 
+    Wird von Sky Meilin 5.0 über Tool-Calling aufgerufen.
+    """
+    
+    # 1. Generiere IDs
+    transaction_id = f"TRX-{uuid.uuid4().hex[:8]}"
+    accounting_ref = f"ACC-{int(time.time())}"
+    
+    # 2. Bauen des Datenobjekts
+    transaction_data = {
+        "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
+        "transaction_source": source,
+        "item_sku": product_id,
+        "revenue_amount": amount,
+        "attributed_lead_id": lead_id if lead_id else "N/A",
+        "accounting_ref": accounting_ref,
+        "transaction_id": transaction_id
+    }
+
+    # 3. DATEN SPEICHERN (Der kritische Schritt zur Accounting KI)
+    success = track_and_attribute_revenue_to_db(transaction_data)
+    
+    # 4. Rückgabe an Sky Meilin 5.0
+    return_value = {
+        "success": success,
+        "transaction_id": transaction_id,
+        "accounting_ref": accounting_ref
+    }
+    
+    return json.dumps(return_value)
+
+# --- GRADIO INTERFACE (FÜR HUGGING FACE TEST) ---
+# Das Gradio Interface dient dazu, die Funktion in Ihrem Space zu testen
+iface = gr.Interface(
+    fn=track_and_attribute_revenue,
+    inputs=[
+        gr.Textbox(label="Source", value="X_Affiliate_A1"),
+        gr.Textbox(label="Product ID", value="E-Book-V2"),
+        gr.Number(label="Amount", value=49.99),
+        gr.Textbox(label="Lead ID", value="L-456", optional=True)
+    ],
+    outputs="json",
+    title="Sky Meilin MCP Tool: Revenue Tracker"
+)
+
+if __name__ == "__main__":
+    iface.launch()
+