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from fastapi import Request
from fastapi.responses import JSONResponse
import traceback, random
from intent import extract_parameters, validate_variable_formats, detect_intent
from intent_api import execute_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)
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