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| from typing import Dict, List | |
| from rag.rag_manager import retrieve | |
| class NPCAgent: | |
| def __init__(self, npc_id: str): | |
| self.npc_id = npc_id | |
| self.cache: Dict[str, Dict[str, List[dict]]] = {} # quest_stage:location별 캐시 | |
| def load_rag_bundle(self, quest_stage: str, location: str) -> Dict[str, List[dict]]: | |
| """ | |
| 해당 NPC/퀘스트 스테이지/위치의 모든 문서를 한 번에 로드하고 type별로 분류. | |
| quest_stage/location이 'any'인 문서도 병합. | |
| """ | |
| cache_key = f"{quest_stage}:{location}" | |
| if cache_key in self.cache: | |
| return self.cache[cache_key] | |
| filters_base = {"npc_id": self.npc_id} | |
| # 1. 정확히 일치 | |
| docs_exact = retrieve(f"{self.npc_id}:bundle", filters={**filters_base, "quest_stage": quest_stage, "location": location}, top_k=50) or [] | |
| # 2. quest_stage=any | |
| docs_any_stage = retrieve(f"{self.npc_id}:bundle", filters={**filters_base, "quest_stage": "any", "location": location}, top_k=50) or [] | |
| # 3. location=any | |
| docs_any_loc = retrieve(f"{self.npc_id}:bundle", filters={**filters_base, "quest_stage": quest_stage, "location": "any"}, top_k=50) or [] | |
| # 4. quest_stage=any, location=any | |
| docs_global = retrieve(f"{self.npc_id}:bundle", filters={**filters_base, "quest_stage": "any", "location": "any"}, top_k=50) or [] | |
| all_docs = docs_exact + docs_any_stage + docs_any_loc + docs_global | |
| # type별 분류 | |
| bundle: Dict[str, List[dict]] = {} | |
| for doc in all_docs: | |
| t = doc.get("type", "unknown") | |
| bundle.setdefault(t, []).append(doc) | |
| self.cache[cache_key] = bundle | |
| return bundle | |
| class AgentManager: | |
| def __init__(self): | |
| self.agents: Dict[str, NPCAgent] = {} | |
| def get_agent(self, npc_id: str) -> NPCAgent: | |
| if npc_id not in self.agents: | |
| self.agents[npc_id] = NPCAgent(npc_id) | |
| return self.agents[npc_id] | |
| # 전역 인스턴스 | |
| agent_manager = AgentManager() | |