chat_handler.py

"""
Flare – Chat Handler (header edition)
====================================
/start_session -> JSON body döner
/chat          -> X-Session-ID header + {"user_input": "..."}
"""

import re, json, uuid, httpx, commentjson
from datetime import datetime
from typing import Dict, List, Optional

from fastapi import APIRouter, HTTPException, Header, Request
from pydantic import BaseModel

from prompt_builder import build_intent_prompt, build_parameter_prompt, log

# ----------------------------------------------------------------------------
# CONFIG
# ----------------------------------------------------------------------------
CFG = commentjson.load(open("service_config.jsonc", encoding="utf-8"))
PROJECTS = {p["name"]: p for p in CFG["projects"]}
APIS     = {a["name"]: a for a in CFG["apis"]}

# ----------------------------------------------------------------------------
# SESSION
# ----------------------------------------------------------------------------
class Session:
    def __init__(self, project_name: str):
        self.id = str(uuid.uuid4())
        self.project = PROJECTS[project_name]
        self.history: List[Dict[str, str]] = []
        self.variables: Dict[str, str] = {}
        self.awaiting: Optional[Dict] = None
        log(f"🆕 Session {self.id} for {project_name}")

SESSIONS: Dict[str, Session] = {}

# ----------------------------------------------------------------------------
# SPARK
# ----------------------------------------------------------------------------
async def spark_generate(prompt: str) -> str:
    async with httpx.AsyncClient(timeout=60) as c:
        r = await c.post(CFG["config"]["spark_endpoint"], json={"prompt": prompt})
        r.raise_for_status()
        return r.json()["text"]

# ----------------------------------------------------------------------------
# FASTAPI ROUTER
# ----------------------------------------------------------------------------
router = APIRouter()

@router.get("/")
def health():
    return {"status": "ok"}

# Schemas
class StartSessionRequest(BaseModel):
    project_name: str

class ChatBody(BaseModel):
    user_input: str
    # session_id optional for legacy
    session_id: Optional[str] = None

class ChatResponse(BaseModel):
    session_id: str
    answer: str

# Endpoints
@router.post("/start_session", response_model=ChatResponse)
async def start_session(req: StartSessionRequest):
    if req.project_name not in PROJECTS:
        raise HTTPException(404, "Unknown project")
    s = Session(req.project_name)
    SESSIONS[s.id] = s
    return ChatResponse(session_id=s.id, answer="Nasıl yardımcı olabilirim?")

@router.post("/chat", response_model=ChatResponse)
async def chat(body: ChatBody,
               request: Request,
               x_session_id: Optional[str] = Header(None)):
    # 1) Session ID alma: header > body
    sid = x_session_id or body.session_id
    if not sid or sid not in SESSIONS:
        raise HTTPException(404, "Invalid or missing session")

    s = SESSIONS[sid]
    user_msg = body.user_input.strip()
    s.history.append({"role": "user", "content": user_msg})

    # ---------------- follow-up modunda mı?
    if s.awaiting:
        answer = await _followup(s, user_msg)
        s.history.append({"role": "assistant", "content": answer})
        return ChatResponse(session_id=s.id, answer=answer)

    # ---------------- intent detect
    gen_prompt = s.project["versions"][0]["general_prompt"]
    intent_prompt = build_intent_prompt(gen_prompt, s.history, user_msg)
    intent_out = await spark_generate(intent_prompt)

    if not intent_out.startswith("#DETECTED_INTENT:"):
        s.history.append({"role": "assistant", "content": intent_out})
        return ChatResponse(session_id=s.id, answer=intent_out)

    intent_name = intent_out.split(":", 1)[1].strip()
    intent_cfg  = _find_intent(s.project, intent_name)
    if not intent_cfg:
        err = "Üzgünüm, anlayamadım."
        s.history.append({"role": "assistant", "content": err})
        return ChatResponse(session_id=s.id, answer=err)

    answer = await _handle_intent(s, intent_cfg, user_msg)
    s.history.append({"role": "assistant", "content": answer})
    return ChatResponse(session_id=s.id, answer=answer)

# ----------------------------------------------------------------------------
# Helper funcs (aynı)
# ----------------------------------------------------------------------------
def _find_intent(project, name_):
    return next((i for i in project["versions"][0]["intents"] if i["name"] == name_), None)

def _missing(s, intent_cfg):
    return [p["name"] for p in intent_cfg["parameters"] if p["variable_name"] not in s.variables]

async def _handle_intent(s, intent_cfg, user_msg):
    missing = _missing(s, intent_cfg)
    if missing:
        p_prompt = build_parameter_prompt(intent_cfg, missing, user_msg, s.history)
        out      = await spark_generate(p_prompt)
        if out.startswith("#PARAMETERS:"):
            if bad := _process_params(s, intent_cfg, out):
                return bad
            missing = _missing(s, intent_cfg)
    if missing:
        s.awaiting = {"intent": intent_cfg, "missing": missing}
        cap = next(p for p in intent_cfg["parameters"] if p["name"] == missing[0])["caption"]
        return f"{cap} nedir?"
    s.awaiting = None
    return await _call_api(s, intent_cfg)

async def _followup(s, user_msg):
    intent_cfg = s.awaiting["intent"]
    missing    = s.awaiting["missing"]
    p_prompt   = build_parameter_prompt(intent_cfg, missing, user_msg, s.history)
    out        = await spark_generate(p_prompt)
    if not out.startswith("#PARAMETERS:"):
        return "Üzgünüm, anlayamadım."
    if bad := _process_params(s, intent_cfg, out):
        return bad
    missing = _missing(s, intent_cfg)
    if missing:
        s.awaiting["missing"] = missing
        cap = next(p for p in intent_cfg["parameters"] if p["name"] == missing[0])["caption"]
        return f"{cap} nedir?"
    s.awaiting = None
    return await _call_api(s, intent_cfg)

def _process_params(s, intent_cfg, out):
    try:
        data = json.loads(out[len("#PARAMETERS:"):])
    except json.JSONDecodeError:
        return "Parametreleri çözemedim."
    for pair in data.get("extracted", []):
        p_cfg = next(p for p in intent_cfg["parameters"] if p["name"] == pair["name"])
        if not _valid(p_cfg, pair["value"]):
            return p_cfg.get("invalid_prompt", "Geçersiz değer.")
        s.variables[p_cfg["variable_name"]] = pair["value"]
    return None

def _valid(p_cfg, val):
    rx = p_cfg.get("validation_regex")
    return re.match(rx, val) is not None if rx else True

async def _call_api(s, intent_cfg):
    api = APIS[intent_cfg["action"]]
    token = "testtoken"
    headers = {k: v.replace("{{token}}", token) for k, v in api["headers"].items()}
    body = json.loads(json.dumps(api["body_template"]))
    for k, v in body.items():
        if isinstance(v, str) and v.startswith("{{") and v.endswith("}}"):
            body[k] = s.variables.get(v[2:-2], "")
    try:
        async with httpx.AsyncClient(timeout=api["timeout_seconds"]) as c:
            r = await c.request(api["method"], api["url"], headers=headers, json=body)
            r.raise_for_status()
            api_json = r.json()
    except Exception:
        return intent_cfg["fallback_error_prompt"]

    summary = api["response_prompt"].replace(
        "{{api_response}}", json.dumps(api_json, ensure_ascii=False)
    )
    return await spark_generate(summary)