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"""
WebSocket Handler
클라이언트 메시지: JOIN | BEHAVIOR
서버 Push: SESSION_READY | EVENT_ACK | INTENT_UPDATE | ERROR
"""
import json
import logging
from datetime import datetime
from fastapi import APIRouter, WebSocket, WebSocketDisconnect
from config import settings
from core.extractor import get_extractor
from core.inference import (
infer_with_behavior,
to_customer_context_json,
to_probability_dict,
to_topn_with_others,
)
from data.executor import get_executor
from ws.manager import manager
router = APIRouter()
logger = logging.getLogger(__name__)
@router.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket) -> None:
"""WebSocket 엔드포인트.
첫 메시지로 JOIN을 받아 세션에 결합하고 SESSION_READY를 보낸 뒤,
이후 BEHAVIOR 메시지마다 재추론하여 INTENT_UPDATE를 Push한다.
연결 종료 시 매니저에서 연결을 해제한다.
Args:
websocket: 클라이언트 WebSocket 연결.
"""
session_id: str | None = None
try:
await websocket.accept()
raw = await websocket.receive_json()
if raw.get("type") != "JOIN":
await websocket.send_json({"type": "ERROR", "code": "MISSING_JOIN"})
return
session_id = raw["session_id"]
ex = get_executor()
row = ex.fetchone("SELECT id, scenario_id, stage FROM sessions WHERE id = ?", [session_id])
if row is None:
await websocket.send_json({"type": "ERROR", "code": "SESSION_NOT_FOUND"})
return
scenario_id = row[1]
manager._connections[session_id] = websocket
await websocket.send_json({
"type": "SESSION_READY",
"session_id": session_id,
"scenario_id": scenario_id,
"stage": row[2],
})
# 설문 답변 캐시 (재추론 시 사용)
survey_answers = _load_session_answers(session_id)
while True:
msg = await websocket.receive_json()
mtype = msg.get("type")
if mtype == "BEHAVIOR":
await _handle_behavior(websocket, session_id, scenario_id, survey_answers, msg)
else:
await websocket.send_json({"type": "ERROR", "code": "UNKNOWN_TYPE"})
except WebSocketDisconnect:
pass
except Exception as e:
logger.exception(f"WS error: {e}")
try:
await websocket.send_json({"type": "ERROR", "message": str(e)})
except Exception:
pass
finally:
if session_id:
manager.disconnect(session_id)
async def _handle_behavior(
websocket: WebSocket,
session_id: str,
scenario_id: str,
survey_answers: dict[str, str],
msg: dict,
) -> None:
"""BEHAVIOR 메시지를 처리한다.
이벤트를 event_log와 extractor에 적재하고 EVENT_ACK를 보낸다.
app_exit이면 세션을 종료(stage='exited')하고 INTENT_UPDATE 없이 반환한다.
그 외에는 누적 행동 기반으로 재추론하여 intent_scores·customer_contexts에 저장하고
INTENT_UPDATE를 Push한다.
Args:
websocket: 응답을 보낼 WebSocket 연결.
session_id: 대상 세션 ID.
scenario_id: 세션의 시나리오 ID.
survey_answers: 재추론에 사용할 설문 답변 ({question_id: answer_code}).
msg: BEHAVIOR 메시지 (behavior_id·event_type·entity 포함).
"""
behavior_id = msg.get("behavior_id")
event_type = msg.get("event_type")
entity = msg.get("entity")
if not (behavior_id and event_type and entity):
await websocket.send_json({"type": "ERROR", "code": "MISSING_FIELDS"})
return
ex = get_executor()
# step: behavior_id 접두사로 판정 (1-* = step1, 그 외 step2). 시나리오 무관.
step = 1 if str(behavior_id).startswith("1-") else 2
# 이벤트 로그 적재
ex.execute(
"INSERT INTO event_log (session_id, scenario_id, step, behavior_id, event_type, entity) "
"VALUES (?, ?, ?, ?, ?, ?)",
[session_id, scenario_id, step, behavior_id, event_type, entity],
)
ex.execute(
"UPDATE sessions SET last_active_at = CURRENT_TIMESTAMP WHERE id = ?",
[session_id],
)
# Extractor에 이벤트 추가 (app_exit/navigate_back은 Pattern 집계 영향 약함)
get_extractor().add_event(session_id, event_type, entity)
await websocket.send_json({
"type": "EVENT_ACK",
"behavior_id": behavior_id,
"occurred_at": datetime.utcnow().isoformat(),
})
# app_exit: 세션 종료. INTENT_UPDATE 미전송. stage='exited' 갱신만.
if event_type == "app_exit":
ex.execute("UPDATE sessions SET stage = ? WHERE id = ?", ["exited", session_id])
return
# Intent 재추론 (Batch + 누적 행동)
batch_features, intent_scores = infer_with_behavior(survey_answers, session_id, scenario_id)
new_stage = f"step_{step}" if step > 0 else "initial"
# Intent Score 적재
score_rows = [
[session_id, new_stage, s.intent_id,
s.baseline_score, s.final_score, s.delta_score,
s.baseline_rank, s.rank, s.rank_change, s.inference_type]
for s in intent_scores
]
ex.executemany(
"INSERT INTO intent_scores "
"(session_id, stage, intent_id, baseline_score, final_score, delta_score, "
" baseline_rank, rank, rank_change, inference_type) "
"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
score_rows,
)
# Customer Context 적재
context = to_customer_context_json(
session_id=session_id,
stage=new_stage,
scenario_id=scenario_id,
scores=intent_scores,
batch_features=batch_features,
)
ex.execute(
"INSERT INTO customer_contexts (session_id, scenario_id, stage, context_json) "
"VALUES (?, ?, ?, ?)",
[session_id, scenario_id, new_stage, json.dumps(context, ensure_ascii=False)],
)
ex.execute("UPDATE sessions SET stage = ? WHERE id = ?", [new_stage, session_id])
top_n_cnt = settings.TOP_N_INTENT
top_items, others = to_topn_with_others(intent_scores, top_n=top_n_cnt, scenario_id=scenario_id)
# 추론 이유(reasoning) 첨부 — 결합 feature(batch+누적 pattern+최신 event)
from core.engines import get_engine
from core import explain as _explain
_eng = get_engine(scenario_id)
_combined = {**batch_features, **_eng.pattern_features(session_id), **_eng.event_features(session_id)}
_explain.attach_reasoning(_eng, _combined, top_items)
all_probabilities = to_probability_dict(intent_scores, scenario_id=scenario_id)
await websocket.send_json({
"type": "INTENT_UPDATE",
"session_id": session_id,
"behavior_id": behavior_id,
"stage": new_stage,
"computed_at": datetime.utcnow().isoformat(),
"top_n": top_items,
"others": others,
"all_probabilities": all_probabilities,
})
def _load_session_answers(session_id: str) -> dict[str, str]:
"""세션의 설문 답변을 DB에서 로드한다.
Args:
session_id: 답변을 조회할 세션 ID.
Returns:
{question_id: answer_code} 형태의 설문 답변 dict.
"""
ex = get_executor()
df = ex.to_pandas(
"SELECT question_id, answer_code FROM survey_answers WHERE session_id = ?",
[session_id],
)
return {r["question_id"]: r["answer_code"] for _, r in df.iterrows()}
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