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| from fastapi import Request | |
| from fastapi.responses import JSONResponse | |
| import traceback, random | |
| from intent import extract_parameters, validate_variable_formats, execute_intent, detect_intent | |
| from llm_model import generate_response, model, tokenizer, Message | |
| from log import log | |
| async def handle_chat(msg: Message, request: Request, app, s_config): | |
| user_input = msg.user_input.strip() | |
| session_id = request.headers.get("X-Session-ID", "demo-session") | |
| if not hasattr(app.state, "session_store"): | |
| app.state.session_store = {} | |
| session_store = getattr(app.state, "session_store", {}) | |
| session = session_store.get(session_id, { | |
| "session_id": session_id, | |
| "variables": {}, | |
| "auth_tokens": {}, | |
| "last_intent": None, | |
| "awaiting_variable": None | |
| }) | |
| try: | |
| if model is None or tokenizer is None: | |
| return {"error": "Model yüklenmedi."} | |
| detected_intent, intent_conf = None, 0.0 | |
| if s_config.INTENT_MODEL: | |
| detected_intent, intent_conf = await detect_intent(user_input) | |
| log(f"🎯 Intent tespit edildi: {detected_intent} (conf={intent_conf:.2f})") | |
| current_intent = session.get("last_intent") | |
| awaiting_variable = session.get("awaiting_variable") | |
| if ( | |
| awaiting_variable and | |
| detected_intent and | |
| detected_intent != current_intent and | |
| intent_conf > s_config.INTENT_CONFIDENCE_THRESHOLD | |
| ): | |
| log(f"🧹 Yeni intent: {detected_intent}, önceki: {current_intent} — awaiting sıfırlanıyor.") | |
| session["awaiting_variable"] = None | |
| session["variables"] = {} | |
| session["last_intent"] = detected_intent | |
| current_intent = detected_intent | |
| if ( | |
| detected_intent and | |
| intent_conf > s_config.INTENT_CONFIDENCE_THRESHOLD and | |
| detected_intent in s_config.INTENT_DEFINITIONS | |
| ): | |
| definition = s_config.INTENT_DEFINITIONS[detected_intent] | |
| pattern_list = definition.get("variables", []) | |
| data_formats = s_config.DATA_FORMATS | |
| variable_format_map = definition.get("variable_formats", {}) | |
| if awaiting_variable: | |
| extracted = extract_parameters(pattern_list, user_input) | |
| for p in extracted: | |
| if p["key"] == awaiting_variable: | |
| session["variables"][awaiting_variable] = p["value"] | |
| session["awaiting_variable"] = None | |
| log(f"✅ Awaiting parametre tamamlandı: {awaiting_variable} = {p['value']}") | |
| break | |
| extracted = extract_parameters(pattern_list, user_input) | |
| variables = {p["key"]: p["value"] for p in extracted} | |
| session.setdefault("variables", {}).update(variables) | |
| is_valid, validation_errors = validate_variable_formats(session["variables"], variable_format_map, data_formats) | |
| if not is_valid: | |
| session["awaiting_variable"] = list(validation_errors.keys())[0] | |
| session_store[session_id] = session | |
| app.state.session_store = session_store | |
| return {"response": list(validation_errors.values())[0]} | |
| expected_vars = list(variable_format_map.keys()) | |
| missing_vars = [v for v in expected_vars if v not in session["variables"]] | |
| if missing_vars: | |
| session["awaiting_variable"] = missing_vars[0] | |
| session_store[session_id] = session | |
| app.state.session_store = session_store | |
| return {"response": f"Lütfen {missing_vars[0]} bilgisini belirtir misiniz?"} | |
| result = execute_intent( | |
| detected_intent, | |
| user_input, | |
| session, | |
| s_config.INTENT_DEFINITIONS, | |
| s_config.DATA_FORMATS | |
| ) | |
| if "reply" in result: | |
| session_store[session_id] = result["session"] | |
| app.state.session_store = session_store | |
| return {"reply": result["reply"]} | |
| elif "errors" in result: | |
| session_store[session_id] = result["session"] | |
| app.state.session_store = session_store | |
| return {"response": list(result["errors"].values())[0]} | |
| else: | |
| return {"response": random.choice(s_config.FALLBACK_ANSWERS)} | |
| session["awaiting_variable"] = None | |
| session["variables"] = {} | |
| response, response_conf = await generate_response(user_input, s_config) | |
| if response_conf is not None and response_conf < s_config.LLM_CONFIDENCE_THRESHOLD: | |
| return {"response": random.choice(s_config.FALLBACK_ANSWERS)} | |
| return {"response": response} | |
| except Exception as e: | |
| traceback.print_exc() | |
| return JSONResponse(content={"error": str(e)}, status_code=500) | |