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Upload main.py
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main.py
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@@ -10,6 +10,7 @@ app = FastAPI()
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# --- SETUP ---
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COLLECTION_KNOWLEDGE = "knowledge_base"
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COLLECTION_RULES = "availability_rules"
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KNOWLEDGE_CACHE = []
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# --- FIREBASE VERBINDUNG ---
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@@ -49,53 +50,39 @@ def get_stem(word):
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return w
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# --- HELPER: VAPI REQUEST PARSER ---
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# Holt sicher die ID und die Argumente aus dem Vapi-Salat
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def parse_vapi_request(data):
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tool_call_id = "unknown"
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args = {}
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-
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try:
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msg = data.get("message", {})
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# Variante A: Dein Log-Format ("toolCallList")
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if "toolCallList" in msg:
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call = msg["toolCallList"][0]
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tool_call_id = call["id"]
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if "function" in call and "arguments" in call["function"]:
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args = call["function"]["arguments"]
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-
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# Variante B: Standard Vapi ("toolCalls")
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elif "toolCalls" in msg:
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call = msg["toolCalls"][0]
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tool_call_id = call["id"]
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if "function" in call and "arguments" in call["function"]:
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args = call["function"]["arguments"]
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-
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# Argumente sind oft ein String, müssen zu JSON werden
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if isinstance(args, str):
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args = json.loads(args)
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-
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except Exception as e:
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print(f"⚠️ Parsing Info: {e}")
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return tool_call_id, args
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# ==========================================
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# TOOL 1: VERFÜGBARKEIT
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# ==========================================
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@app.post("/check_availability")
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async def check_availability(request: Request):
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data = await request.json()
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print(f"🚦 TOOL REQUEST: {json.dumps(data)[:100]}...") # Debug Log
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# 1. ID extrahieren (WICHTIG!)
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tool_call_id, _ = parse_vapi_request(data)
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today = datetime.now().strftime("%Y-%m-%d")
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status = "available"
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instruction = "Normal arbeiten"
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# 2. Datenbank Check
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try:
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if db:
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rules = db.collection(COLLECTION_RULES).where("active", "==", True).stream()
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@@ -103,48 +90,40 @@ async def check_availability(request: Request):
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rd = r.to_dict()
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if rd.get('start_date') <= today <= rd.get('end_date'):
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print(f"🛑 REGEL AKTIV: {rd.get('name')}")
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instruction = rd.get('instruction_text')
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break
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except Exception as e:
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print(f"❌ ERROR CHECK: {e}")
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print(f"👉 RESULTAT: {status} | {instruction}")
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# 3. Antwort im strikten Vapi-Format
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return {
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"results": [
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{
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"toolCallId": tool_call_id,
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"result": {
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"status": status,
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"instruction": instruction
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}
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}
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]
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}
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# ==========================================
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# TOOL 2: SUCHE (
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# ==========================================
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@app.post("/search")
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async def search(request: Request):
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data = await request.json()
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# 1. ID und Query extrahieren
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tool_call_id, args = parse_vapi_request(data)
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query = args.get("search_query") or args.get("query") or data.get("search_query")
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print(f"🔎 FRAGE (ID: {tool_call_id}): '{query}'")
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answer_text = "Dazu habe ich keine Informationen."
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if query:
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# --- SUCHE LOGIK (Mit Udo/Capaneo Boost) ---
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STOP_WORDS = ["hallo", "guten", "tag", "moin", "bitte", "danke", "frage"]
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q_words = [get_stem(w) for w in query.lower().split() if len(w)>2]
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relevant_words = [w for w in q_words if w not in STOP_WORDS]
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if relevant_words:
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best_doc = None
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best_score = 0
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best_score = score
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best_doc = doc
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if best_doc and best_score >= 20:
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print(f"🏆 TREFFER ({best_score}): {best_doc.get('question')}")
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answer_text = best_doc.get("answer")
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else:
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print(f"⚠️ Zu wenig Relevanz (Max: {best_score})")
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# 3. Antwort im strikten Vapi-Format
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# Bei 'search' erwartet das LLM meist einfach den Text im result
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return {
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"results": [
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{
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"toolCallId": tool_call_id,
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"result": answer_text
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}
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]
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}
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# ==========================================
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# 3. MÜLLSCHLUCKER
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# ==========================================
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@app.post("/vapi-incoming")
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async def dummy_incoming(request: Request):
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return {"status": "ok"}
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@app.get("/")
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def home():
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return {"status": "Online", "
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# --- SETUP ---
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COLLECTION_KNOWLEDGE = "knowledge_base"
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COLLECTION_RULES = "availability_rules"
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COLLECTION_INBOX = "inbox" # NEU: Hier landen ungelöste Fragen
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KNOWLEDGE_CACHE = []
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# --- FIREBASE VERBINDUNG ---
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return w
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# --- HELPER: VAPI REQUEST PARSER ---
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def parse_vapi_request(data):
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tool_call_id = "unknown"
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args = {}
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try:
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msg = data.get("message", {})
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if "toolCallList" in msg:
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call = msg["toolCallList"][0]
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tool_call_id = call["id"]
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if "function" in call and "arguments" in call["function"]:
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args = call["function"]["arguments"]
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elif "toolCalls" in msg:
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call = msg["toolCalls"][0]
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tool_call_id = call["id"]
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if "function" in call and "arguments" in call["function"]:
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args = call["function"]["arguments"]
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if isinstance(args, str):
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args = json.loads(args)
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except Exception as e:
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print(f"⚠️ Parsing Info: {e}")
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return tool_call_id, args
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# ==========================================
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# TOOL 1: VERFÜGBARKEIT
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# ==========================================
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@app.post("/check_availability")
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async def check_availability(request: Request):
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data = await request.json()
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tool_call_id, _ = parse_vapi_request(data)
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today = datetime.now().strftime("%Y-%m-%d")
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status = "available"
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instruction = "Normal arbeiten"
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try:
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if db:
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rules = db.collection(COLLECTION_RULES).where("active", "==", True).stream()
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rd = r.to_dict()
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if rd.get('start_date') <= today <= rd.get('end_date'):
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print(f"🛑 REGEL AKTIV: {rd.get('name')}")
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# Einfache Logik: Wenn "Ferien" im Namen -> Limited, sonst Unavailable
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if "ferien" in rd.get('name', '').lower():
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status = "limited"
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else:
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status = "unavailable"
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instruction = rd.get('instruction_text')
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break
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except Exception as e:
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print(f"❌ ERROR CHECK: {e}")
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return {
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"results": [{"toolCallId": tool_call_id, "result": {"status": status, "instruction": instruction}}]
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}
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# ==========================================
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# TOOL 2: SUCHE (Mit Inbox-Speicherung!)
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# ==========================================
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@app.post("/search")
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async def search(request: Request):
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data = await request.json()
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tool_call_id, args = parse_vapi_request(data)
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query = args.get("search_query") or args.get("query") or data.get("search_query")
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print(f"🔎 FRAGE (ID: {tool_call_id}): '{query}'")
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answer_text = "Dazu habe ich leider keine Informationen in meiner Datenbank."
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if query:
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STOP_WORDS = ["hallo", "guten", "tag", "moin", "bitte", "danke", "frage"]
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q_words = [get_stem(w) for w in query.lower().split() if len(w)>2]
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relevant_words = [w for w in q_words if w not in STOP_WORDS]
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found = False
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if relevant_words:
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best_doc = None
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best_score = 0
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best_score = score
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best_doc = doc
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# SCHWELLE: 20 PUNKTE
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if best_doc and best_score >= 20:
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print(f"🏆 TREFFER ({best_score}): {best_doc.get('question')}")
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answer_text = best_doc.get("answer")
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found = True
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else:
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print(f"⚠️ Zu wenig Relevanz (Max: {best_score})")
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# --- NEU: SPEICHERN WENN NICHT GEFUNDEN ---
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if not found and db:
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print("📥 Speichere in Inbox...")
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db.collection(COLLECTION_INBOX).add({
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"query": query,
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"timestamp": datetime.now(),
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"status": "open"
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})
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return {
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"results": [{"toolCallId": tool_call_id, "result": answer_text}]
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}
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@app.post("/vapi-incoming")
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async def dummy_incoming(request: Request):
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return {"status": "ok"}
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@app.get("/")
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def home():
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return {"status": "Online", "docs": len(KNOWLEDGE_CACHE)}
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