from app.core.logging_config import get_api_logger from app.db import get_db from app.repositories.memory_short_repository import LongTermMemoryRepository from app.repositories.memory_short_repository import ShortTermMemoryRepository api_logger = get_api_logger() db=next(get_db()) class ShortService: def __init__(self, end_user_id): self.short_repo = ShortTermMemoryRepository(db) self.end_user_id = end_user_id def get_short_databasets(self): short_memories = self.short_repo.get_latest_by_user_id(self.end_user_id, 3) short_result = [] for memory in short_memories: deep_expanded = {} # Create a new dictionary for each memory messages = memory.messages aimessages = memory.aimessages retrieved_content = memory.retrieved_content or [] api_logger.debug(f"Retrieved content: {retrieved_content}") retrieval_source = [] for item in retrieved_content: if isinstance(item, dict): for key, values in item.items(): retrieval_source.append({"query": key, "retrieval": values}) deep_expanded['retrieval'] = retrieval_source deep_expanded['message'] = messages # 修正拼写错误 deep_expanded['answer'] = aimessages short_result.append(deep_expanded) return short_result def get_short_count(self): short_count = self.short_repo.count_by_user_id(self.end_user_id) return short_count class LongService: def __init__(self, end_user_id): self.long_repo = LongTermMemoryRepository(db) self.end_user_id = end_user_id def get_long_databasets(self): # 获取长期记忆数据 long_memories = self.long_repo.get_by_user_id(self.end_user_id, 1) long_result = [] for long_memory in long_memories: if long_memory.retrieved_content: for memory_item in long_memory.retrieved_content: if isinstance(memory_item, dict): for key, values in memory_item.items(): long_result.append({"query": key, "retrieval": values}) return long_result