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| """ | |
| MongoDB 存储管理器 | |
| """ | |
| import os | |
| import time | |
| import re | |
| from typing import Any, Dict, List, Optional | |
| from motor.motor_asyncio import AsyncIOMotorClient, AsyncIOMotorDatabase | |
| from log import log | |
| class MongoDBManager: | |
| """MongoDB 数据库管理器""" | |
| # 状态字段常量 | |
| STATE_FIELDS = { | |
| "error_codes", | |
| "disabled", | |
| "last_success", | |
| "user_email", | |
| "model_cooldowns", | |
| } | |
| def __init__(self): | |
| self._client: Optional[AsyncIOMotorClient] = None | |
| self._db: Optional[AsyncIOMotorDatabase] = None | |
| self._initialized = False | |
| # 内存配置缓存 - 初始化时加载一次 | |
| self._config_cache: Dict[str, Any] = {} | |
| self._config_loaded = False | |
| async def initialize(self) -> None: | |
| """初始化 MongoDB 连接""" | |
| if self._initialized: | |
| return | |
| try: | |
| mongodb_uri = os.getenv("MONGODB_URI") | |
| if not mongodb_uri: | |
| raise ValueError("MONGODB_URI environment variable not set") | |
| database_name = os.getenv("MONGODB_DATABASE", "gcli2api") | |
| self._client = AsyncIOMotorClient(mongodb_uri) | |
| self._db = self._client[database_name] | |
| # 测试连接 | |
| await self._db.command("ping") | |
| # 创建索引 | |
| await self._create_indexes() | |
| # 加载配置到内存 | |
| await self._load_config_cache() | |
| self._initialized = True | |
| log.info(f"MongoDB storage initialized (database: {database_name})") | |
| except Exception as e: | |
| log.error(f"Error initializing MongoDB: {e}") | |
| raise | |
| async def _create_indexes(self): | |
| """创建索引""" | |
| credentials_collection = self._db["credentials"] | |
| antigravity_credentials_collection = self._db["antigravity_credentials"] | |
| # 创建普通凭证索引 | |
| await credentials_collection.create_index("filename", unique=True) | |
| await credentials_collection.create_index("disabled") | |
| await credentials_collection.create_index("rotation_order") | |
| # 复合索引 | |
| await credentials_collection.create_index([("disabled", 1), ("rotation_order", 1)]) | |
| # 如果经常按错误码筛选,可以添加此索引 | |
| await credentials_collection.create_index("error_codes") | |
| # 创建 Antigravity 凭证索引 | |
| await antigravity_credentials_collection.create_index("filename", unique=True) | |
| await antigravity_credentials_collection.create_index("disabled") | |
| await antigravity_credentials_collection.create_index("rotation_order") | |
| # 复合索引 | |
| await antigravity_credentials_collection.create_index([("disabled", 1), ("rotation_order", 1)]) | |
| # 如果经常按错误码筛选,可以添加此索引 | |
| await antigravity_credentials_collection.create_index("error_codes") | |
| log.debug("MongoDB indexes created") | |
| async def _load_config_cache(self): | |
| """加载配置到内存缓存(仅在初始化时调用一次)""" | |
| if self._config_loaded: | |
| return | |
| try: | |
| config_collection = self._db["config"] | |
| cursor = config_collection.find({}) | |
| async for doc in cursor: | |
| self._config_cache[doc["key"]] = doc.get("value") | |
| self._config_loaded = True | |
| log.debug(f"Loaded {len(self._config_cache)} config items into cache") | |
| except Exception as e: | |
| log.error(f"Error loading config cache: {e}") | |
| self._config_cache = {} | |
| async def close(self) -> None: | |
| """关闭 MongoDB 连接""" | |
| if self._client: | |
| self._client.close() | |
| self._client = None | |
| self._db = None | |
| self._initialized = False | |
| log.debug("MongoDB storage closed") | |
| def _ensure_initialized(self): | |
| """确保已初始化""" | |
| if not self._initialized: | |
| raise RuntimeError("MongoDB manager not initialized") | |
| def _get_collection_name(self, mode: str) -> str: | |
| """根据 mode 获取对应的集合名""" | |
| if mode == "antigravity": | |
| return "antigravity_credentials" | |
| elif mode == "geminicli": | |
| return "credentials" | |
| else: | |
| raise ValueError(f"Invalid mode: {mode}. Must be 'geminicli' or 'antigravity'") | |
| # ============ SQL 方法 ============ | |
| async def get_next_available_credential( | |
| self, mode: str = "geminicli", model_key: Optional[str] = None | |
| ) -> Optional[tuple[str, Dict[str, Any]]]: | |
| """ | |
| 随机获取一个可用凭证(负载均衡) | |
| - 未禁用 | |
| - 如果提供了 model_key,还会检查模型级冷却 | |
| - 随机选择 | |
| Args: | |
| mode: 凭证模式 ("geminicli" 或 "antigravity") | |
| model_key: 模型键(用于模型级冷却检查,antigravity 用模型名,gcli 用 pro/flash) | |
| Note: | |
| - 对于 antigravity: model_key 是具体模型名(如 "gemini-2.0-flash-exp") | |
| - 对于 gcli: model_key 是 "pro" 或 "flash" | |
| - 使用聚合管道在数据库层面过滤冷却状态,性能更优 | |
| """ | |
| self._ensure_initialized() | |
| try: | |
| collection_name = self._get_collection_name(mode) | |
| collection = self._db[collection_name] | |
| current_time = time.time() | |
| # 构建聚合管道 | |
| pipeline = [ | |
| # 第一步: 筛选未禁用的凭证 | |
| {"$match": {"disabled": False}}, | |
| ] | |
| # 如果提供了 model_key,添加冷却检查 | |
| if model_key: | |
| pipeline.extend([ | |
| # 第二步: 添加冷却状态字段 | |
| { | |
| "$addFields": { | |
| "is_available": { | |
| "$or": [ | |
| # model_cooldowns 中没有该 model_key | |
| {"$not": {"$ifNull": [f"$model_cooldowns.{model_key}", False]}}, | |
| # 或者冷却时间已过期 | |
| {"$lte": [f"$model_cooldowns.{model_key}", current_time]} | |
| ] | |
| } | |
| } | |
| }, | |
| # 第三步: 只保留可用的凭证 | |
| {"$match": {"is_available": True}}, | |
| ]) | |
| # 第四步: 随机抽取一个 | |
| pipeline.append({"$sample": {"size": 1}}) | |
| # 第五步: 只投影需要的字段 | |
| pipeline.append({ | |
| "$project": { | |
| "filename": 1, | |
| "credential_data": 1, | |
| "_id": 0 | |
| } | |
| }) | |
| # 执行聚合 | |
| docs = await collection.aggregate(pipeline).to_list(length=1) | |
| if docs: | |
| doc = docs[0] | |
| return doc["filename"], doc.get("credential_data") | |
| return None | |
| except Exception as e: | |
| log.error(f"Error getting next available credential (mode={mode}, model_key={model_key}): {e}") | |
| return None | |
| async def get_available_credentials_list(self, mode: str = "geminicli") -> List[str]: | |
| """ | |
| 获取所有可用凭证列表 | |
| - 未禁用 | |
| - 按轮换顺序排序 | |
| """ | |
| self._ensure_initialized() | |
| try: | |
| collection_name = self._get_collection_name(mode) | |
| collection = self._db[collection_name] | |
| pipeline = [ | |
| {"$match": {"disabled": False}}, | |
| {"$sort": {"rotation_order": 1}}, | |
| {"$project": {"filename": 1, "_id": 0}} | |
| ] | |
| docs = await collection.aggregate(pipeline).to_list(length=None) | |
| return [doc["filename"] for doc in docs] | |
| except Exception as e: | |
| log.error(f"Error getting available credentials list (mode={mode}): {e}") | |
| return [] | |
| # ============ StorageBackend 协议方法 ============ | |
| async def store_credential(self, filename: str, credential_data: Dict[str, Any], mode: str = "geminicli") -> bool: | |
| """存储或更新凭证""" | |
| self._ensure_initialized() | |
| try: | |
| collection_name = self._get_collection_name(mode) | |
| collection = self._db[collection_name] | |
| current_ts = time.time() | |
| # 使用 upsert + $setOnInsert | |
| # 如果文档存在,只更新 credential_data 和 updated_at | |
| # 如果文档不存在,设置所有默认字段 | |
| # 先尝试更新现有文档 | |
| result = await collection.update_one( | |
| {"filename": filename}, | |
| { | |
| "$set": { | |
| "credential_data": credential_data, | |
| "updated_at": current_ts, | |
| } | |
| } | |
| ) | |
| # 如果没有匹配到(新凭证),需要插入 | |
| if result.matched_count == 0: | |
| # 获取下一个 rotation_order | |
| pipeline = [ | |
| {"$group": {"_id": None, "max_order": {"$max": "$rotation_order"}}}, | |
| {"$project": {"_id": 0, "next_order": {"$add": ["$max_order", 1]}}} | |
| ] | |
| result_list = await collection.aggregate(pipeline).to_list(length=1) | |
| next_order = result_list[0]["next_order"] if result_list else 0 | |
| # 插入新凭证(使用 insert_one,因为我们已经确认不存在) | |
| try: | |
| await collection.insert_one({ | |
| "filename": filename, | |
| "credential_data": credential_data, | |
| "disabled": False, | |
| "error_codes": [], | |
| "last_success": current_ts, | |
| "user_email": None, | |
| "model_cooldowns": {}, | |
| "rotation_order": next_order, | |
| "call_count": 0, | |
| "created_at": current_ts, | |
| "updated_at": current_ts, | |
| }) | |
| except Exception as insert_error: | |
| # 处理并发插入导致的重复键错误 | |
| if "duplicate key" in str(insert_error).lower(): | |
| # 重试更新 | |
| await collection.update_one( | |
| {"filename": filename}, | |
| {"$set": {"credential_data": credential_data, "updated_at": current_ts}} | |
| ) | |
| else: | |
| raise | |
| log.debug(f"Stored credential: {filename} (mode={mode})") | |
| return True | |
| except Exception as e: | |
| log.error(f"Error storing credential {filename}: {e}") | |
| return False | |
| async def get_credential(self, filename: str, mode: str = "geminicli") -> Optional[Dict[str, Any]]: | |
| """获取凭证数据,支持basename匹配以兼容旧数据""" | |
| self._ensure_initialized() | |
| try: | |
| collection_name = self._get_collection_name(mode) | |
| collection = self._db[collection_name] | |
| # 首先尝试精确匹配,只投影需要的字段 | |
| doc = await collection.find_one( | |
| {"filename": filename}, | |
| {"credential_data": 1, "_id": 0} | |
| ) | |
| if doc: | |
| return doc.get("credential_data") | |
| # 如果精确匹配失败,尝试使用basename匹配(处理包含路径的旧数据) | |
| # 直接使用 $regex 结尾匹配,移除重复的 $or 条件 | |
| regex_pattern = re.escape(filename) | |
| doc = await collection.find_one( | |
| {"filename": {"$regex": f".*{regex_pattern}$"}}, | |
| {"credential_data": 1, "_id": 0} | |
| ) | |
| if doc: | |
| return doc.get("credential_data") | |
| return None | |
| except Exception as e: | |
| log.error(f"Error getting credential {filename}: {e}") | |
| return None | |
| async def list_credentials(self, mode: str = "geminicli") -> List[str]: | |
| """列出所有凭证文件名""" | |
| self._ensure_initialized() | |
| try: | |
| collection_name = self._get_collection_name(mode) | |
| collection = self._db[collection_name] | |
| # 使用聚合管道 | |
| pipeline = [ | |
| {"$sort": {"rotation_order": 1}}, | |
| {"$project": {"filename": 1, "_id": 0}} | |
| ] | |
| docs = await collection.aggregate(pipeline).to_list(length=None) | |
| return [doc["filename"] for doc in docs] | |
| except Exception as e: | |
| log.error(f"Error listing credentials: {e}") | |
| return [] | |
| async def delete_credential(self, filename: str, mode: str = "geminicli") -> bool: | |
| """删除凭证,支持basename匹配以兼容旧数据""" | |
| self._ensure_initialized() | |
| try: | |
| collection_name = self._get_collection_name(mode) | |
| collection = self._db[collection_name] | |
| # 首先尝试精确匹配删除 | |
| result = await collection.delete_one({"filename": filename}) | |
| deleted_count = result.deleted_count | |
| # 如果精确匹配没有删除任何记录,尝试basename匹配 | |
| if deleted_count == 0: | |
| regex_pattern = re.escape(filename) | |
| result = await collection.delete_one({ | |
| "filename": {"$regex": f".*{regex_pattern}$"} | |
| }) | |
| deleted_count = result.deleted_count | |
| if deleted_count > 0: | |
| log.debug(f"Deleted {deleted_count} credential(s): {filename} (mode={mode})") | |
| return True | |
| else: | |
| log.warning(f"No credential found to delete: {filename} (mode={mode})") | |
| return False | |
| except Exception as e: | |
| log.error(f"Error deleting credential {filename}: {e}") | |
| return False | |
| async def get_duplicate_credentials_by_email(self, mode: str = "geminicli") -> Dict[str, Any]: | |
| """ | |
| 获取按邮箱分组的重复凭证信息(只查询邮箱和文件名,不加载完整凭证数据) | |
| 用于去重操作 | |
| Args: | |
| mode: 凭证模式 ("geminicli" 或 "antigravity") | |
| Returns: | |
| 包含 email_groups(邮箱分组)、duplicate_count(重复数量)、no_email_count(无邮箱数量)的字典 | |
| """ | |
| self._ensure_initialized() | |
| try: | |
| collection_name = self._get_collection_name(mode) | |
| collection = self._db[collection_name] | |
| # 使用聚合管道,只查询 filename 和 user_email 字段 | |
| pipeline = [ | |
| { | |
| "$project": { | |
| "filename": 1, | |
| "user_email": 1, | |
| "_id": 0 | |
| } | |
| }, | |
| { | |
| "$sort": {"filename": 1} | |
| } | |
| ] | |
| docs = await collection.aggregate(pipeline).to_list(length=None) | |
| # 按邮箱分组 | |
| email_to_files = {} | |
| no_email_files = [] | |
| for doc in docs: | |
| filename = doc.get("filename") | |
| user_email = doc.get("user_email") | |
| if user_email: | |
| if user_email not in email_to_files: | |
| email_to_files[user_email] = [] | |
| email_to_files[user_email].append(filename) | |
| else: | |
| no_email_files.append(filename) | |
| # 找出重复的邮箱组 | |
| duplicate_groups = [] | |
| total_duplicate_count = 0 | |
| for email, files in email_to_files.items(): | |
| if len(files) > 1: | |
| # 保留第一个文件,其他为重复 | |
| duplicate_groups.append({ | |
| "email": email, | |
| "kept_file": files[0], | |
| "duplicate_files": files[1:], | |
| "duplicate_count": len(files) - 1, | |
| }) | |
| total_duplicate_count += len(files) - 1 | |
| return { | |
| "email_groups": email_to_files, | |
| "duplicate_groups": duplicate_groups, | |
| "duplicate_count": total_duplicate_count, | |
| "no_email_files": no_email_files, | |
| "no_email_count": len(no_email_files), | |
| "unique_email_count": len(email_to_files), | |
| "total_count": len(docs), | |
| } | |
| except Exception as e: | |
| log.error(f"Error getting duplicate credentials by email: {e}") | |
| return { | |
| "email_groups": {}, | |
| "duplicate_groups": [], | |
| "duplicate_count": 0, | |
| "no_email_files": [], | |
| "no_email_count": 0, | |
| "unique_email_count": 0, | |
| "total_count": 0, | |
| } | |
| async def update_credential_state( | |
| self, filename: str, state_updates: Dict[str, Any], mode: str = "geminicli" | |
| ) -> bool: | |
| """更新凭证状态,支持basename匹配以兼容旧数据""" | |
| self._ensure_initialized() | |
| try: | |
| collection_name = self._get_collection_name(mode) | |
| collection = self._db[collection_name] | |
| # 过滤只更新状态字段 | |
| valid_updates = { | |
| k: v for k, v in state_updates.items() if k in self.STATE_FIELDS | |
| } | |
| if not valid_updates: | |
| return True | |
| valid_updates["updated_at"] = time.time() | |
| # 首先尝试精确匹配更新 | |
| result = await collection.update_one( | |
| {"filename": filename}, {"$set": valid_updates} | |
| ) | |
| updated_count = result.modified_count + result.matched_count | |
| # 如果精确匹配没有更新任何记录,尝试basename匹配 | |
| if updated_count == 0: | |
| regex_pattern = re.escape(filename) | |
| result = await collection.update_one( | |
| {"filename": {"$regex": f".*{regex_pattern}$"}}, | |
| {"$set": valid_updates} | |
| ) | |
| updated_count = result.modified_count + result.matched_count | |
| return updated_count > 0 | |
| except Exception as e: | |
| log.error(f"Error updating credential state {filename}: {e}") | |
| return False | |
| async def get_credential_state(self, filename: str, mode: str = "geminicli") -> Dict[str, Any]: | |
| """获取凭证状态,支持basename匹配以兼容旧数据""" | |
| self._ensure_initialized() | |
| try: | |
| collection_name = self._get_collection_name(mode) | |
| collection = self._db[collection_name] | |
| # 首先尝试精确匹配 | |
| doc = await collection.find_one({"filename": filename}) | |
| if doc: | |
| return { | |
| "disabled": doc.get("disabled", False), | |
| "error_codes": doc.get("error_codes", []), | |
| "last_success": doc.get("last_success", time.time()), | |
| "user_email": doc.get("user_email"), | |
| "model_cooldowns": doc.get("model_cooldowns", {}), | |
| } | |
| # 如果精确匹配失败,尝试basename匹配 | |
| regex_pattern = re.escape(filename) | |
| doc = await collection.find_one({ | |
| "filename": {"$regex": f".*{regex_pattern}$"} | |
| }) | |
| if doc: | |
| return { | |
| "disabled": doc.get("disabled", False), | |
| "error_codes": doc.get("error_codes", []), | |
| "last_success": doc.get("last_success", time.time()), | |
| "user_email": doc.get("user_email"), | |
| "model_cooldowns": doc.get("model_cooldowns", {}), | |
| } | |
| # 返回默认状态 | |
| return { | |
| "disabled": False, | |
| "error_codes": [], | |
| "last_success": time.time(), | |
| "user_email": None, | |
| "model_cooldowns": {}, | |
| } | |
| except Exception as e: | |
| log.error(f"Error getting credential state {filename}: {e}") | |
| return {} | |
| async def get_all_credential_states(self, mode: str = "geminicli") -> Dict[str, Dict[str, Any]]: | |
| """获取所有凭证状态""" | |
| self._ensure_initialized() | |
| try: | |
| collection_name = self._get_collection_name(mode) | |
| collection = self._db[collection_name] | |
| # 使用投影只获取需要的字段 | |
| cursor = collection.find( | |
| {}, | |
| projection={ | |
| "filename": 1, | |
| "disabled": 1, | |
| "error_codes": 1, | |
| "last_success": 1, | |
| "user_email": 1, | |
| "model_cooldowns": 1, | |
| "_id": 0 | |
| } | |
| ) | |
| states = {} | |
| current_time = time.time() | |
| async for doc in cursor: | |
| filename = doc["filename"] | |
| model_cooldowns = doc.get("model_cooldowns", {}) | |
| # 自动过滤掉已过期的模型CD | |
| if model_cooldowns: | |
| model_cooldowns = { | |
| k: v for k, v in model_cooldowns.items() | |
| if v > current_time | |
| } | |
| states[filename] = { | |
| "disabled": doc.get("disabled", False), | |
| "error_codes": doc.get("error_codes", []), | |
| "last_success": doc.get("last_success", time.time()), | |
| "user_email": doc.get("user_email"), | |
| "model_cooldowns": model_cooldowns, | |
| } | |
| return states | |
| except Exception as e: | |
| log.error(f"Error getting all credential states: {e}") | |
| return {} | |
| async def get_credentials_summary( | |
| self, | |
| offset: int = 0, | |
| limit: Optional[int] = None, | |
| status_filter: str = "all", | |
| mode: str = "geminicli", | |
| error_code_filter: Optional[str] = None, | |
| cooldown_filter: Optional[str] = None | |
| ) -> Dict[str, Any]: | |
| """ | |
| 获取凭证的摘要信息(不包含完整凭证数据)- 支持分页和状态筛选 | |
| Args: | |
| offset: 跳过的记录数(默认0) | |
| limit: 返回的最大记录数(None表示返回所有) | |
| status_filter: 状态筛选(all=全部, enabled=仅启用, disabled=仅禁用) | |
| mode: 凭证模式 ("geminicli" 或 "antigravity") | |
| error_code_filter: 错误码筛选(格式如"400"或"403",筛选包含该错误码的凭证) | |
| cooldown_filter: 冷却状态筛选("in_cooldown"=冷却中, "no_cooldown"=未冷却) | |
| Returns: | |
| 包含 items(凭证列表)、total(总数)、offset、limit 的字典 | |
| """ | |
| self._ensure_initialized() | |
| try: | |
| # 根据 mode 选择集合名 | |
| collection_name = self._get_collection_name(mode) | |
| collection = self._db[collection_name] | |
| # 构建查询条件 | |
| query = {} | |
| if status_filter == "enabled": | |
| query["disabled"] = False | |
| elif status_filter == "disabled": | |
| query["disabled"] = True | |
| # 错误码筛选 - 兼容存储为数字或字符串的情况 | |
| if error_code_filter and str(error_code_filter).strip().lower() != "all": | |
| filter_value = str(error_code_filter).strip() | |
| query_values = [filter_value] | |
| try: | |
| query_values.append(int(filter_value)) | |
| except ValueError: | |
| pass | |
| query["error_codes"] = {"$in": query_values} | |
| # 计算全局统计数据(不受筛选条件影响) | |
| global_stats = {"total": 0, "normal": 0, "disabled": 0} | |
| stats_pipeline = [ | |
| { | |
| "$group": { | |
| "_id": "$disabled", | |
| "count": {"$sum": 1} | |
| } | |
| } | |
| ] | |
| stats_result = await collection.aggregate(stats_pipeline).to_list(length=10) | |
| for item in stats_result: | |
| count = item["count"] | |
| global_stats["total"] += count | |
| if item["_id"]: | |
| global_stats["disabled"] = count | |
| else: | |
| global_stats["normal"] = count | |
| # 获取所有匹配的文档(用于冷却筛选,因为需要在Python中判断) | |
| cursor = collection.find( | |
| query, | |
| projection={ | |
| "filename": 1, | |
| "disabled": 1, | |
| "error_codes": 1, | |
| "last_success": 1, | |
| "user_email": 1, | |
| "rotation_order": 1, | |
| "model_cooldowns": 1, | |
| "_id": 0 | |
| } | |
| ).sort("rotation_order", 1) | |
| all_summaries = [] | |
| current_time = time.time() | |
| async for doc in cursor: | |
| model_cooldowns = doc.get("model_cooldowns", {}) | |
| # 自动过滤掉已过期的模型CD | |
| active_cooldowns = {} | |
| if model_cooldowns: | |
| active_cooldowns = { | |
| k: v for k, v in model_cooldowns.items() | |
| if v > current_time | |
| } | |
| summary = { | |
| "filename": doc["filename"], | |
| "disabled": doc.get("disabled", False), | |
| "error_codes": doc.get("error_codes", []), | |
| "last_success": doc.get("last_success", current_time), | |
| "user_email": doc.get("user_email"), | |
| "rotation_order": doc.get("rotation_order", 0), | |
| "model_cooldowns": active_cooldowns, | |
| } | |
| # 应用冷却筛选 | |
| if cooldown_filter == "in_cooldown": | |
| # 只保留有冷却的凭证 | |
| if active_cooldowns: | |
| all_summaries.append(summary) | |
| elif cooldown_filter == "no_cooldown": | |
| # 只保留没有冷却的凭证 | |
| if not active_cooldowns: | |
| all_summaries.append(summary) | |
| else: | |
| # 不筛选冷却状态 | |
| all_summaries.append(summary) | |
| # 应用分页 | |
| total_count = len(all_summaries) | |
| if limit is not None: | |
| summaries = all_summaries[offset:offset + limit] | |
| else: | |
| summaries = all_summaries[offset:] | |
| return { | |
| "items": summaries, | |
| "total": total_count, | |
| "offset": offset, | |
| "limit": limit, | |
| "stats": global_stats, | |
| } | |
| except Exception as e: | |
| log.error(f"Error getting credentials summary: {e}") | |
| return { | |
| "items": [], | |
| "total": 0, | |
| "offset": offset, | |
| "limit": limit, | |
| "stats": {"total": 0, "normal": 0, "disabled": 0}, | |
| } | |
| # ============ 配置管理(内存缓存)============ | |
| async def set_config(self, key: str, value: Any) -> bool: | |
| """设置配置(写入数据库 + 更新内存缓存)""" | |
| self._ensure_initialized() | |
| try: | |
| config_collection = self._db["config"] | |
| await config_collection.update_one( | |
| {"key": key}, | |
| {"$set": {"value": value, "updated_at": time.time()}}, | |
| upsert=True, | |
| ) | |
| # 更新内存缓存 | |
| self._config_cache[key] = value | |
| return True | |
| except Exception as e: | |
| log.error(f"Error setting config {key}: {e}") | |
| return False | |
| async def reload_config_cache(self): | |
| """重新加载配置缓存(在批量修改配置后调用)""" | |
| self._ensure_initialized() | |
| self._config_loaded = False | |
| await self._load_config_cache() | |
| log.info("Config cache reloaded from database") | |
| async def get_config(self, key: str, default: Any = None) -> Any: | |
| """获取配置(从内存缓存)""" | |
| self._ensure_initialized() | |
| return self._config_cache.get(key, default) | |
| async def get_all_config(self) -> Dict[str, Any]: | |
| """获取所有配置(从内存缓存)""" | |
| self._ensure_initialized() | |
| return self._config_cache.copy() | |
| async def delete_config(self, key: str) -> bool: | |
| """删除配置""" | |
| self._ensure_initialized() | |
| try: | |
| config_collection = self._db["config"] | |
| result = await config_collection.delete_one({"key": key}) | |
| # 从内存缓存移除 | |
| self._config_cache.pop(key, None) | |
| return result.deleted_count > 0 | |
| except Exception as e: | |
| log.error(f"Error deleting config {key}: {e}") | |
| return False | |
| # ============ 模型级冷却管理 ============ | |
| async def set_model_cooldown( | |
| self, | |
| filename: str, | |
| model_key: str, | |
| cooldown_until: Optional[float], | |
| mode: str = "geminicli" | |
| ) -> bool: | |
| """ | |
| 设置特定模型的冷却时间 | |
| Args: | |
| filename: 凭证文件名 | |
| model_key: 模型键(antigravity 用模型名,gcli 用 pro/flash) | |
| cooldown_until: 冷却截止时间戳(None 表示清除冷却) | |
| mode: 凭证模式 ("geminicli" 或 "antigravity") | |
| Returns: | |
| 是否成功 | |
| """ | |
| self._ensure_initialized() | |
| try: | |
| collection_name = self._get_collection_name(mode) | |
| collection = self._db[collection_name] | |
| # 使用原子操作直接更新,避免竞态条件 | |
| if cooldown_until is None: | |
| # 删除指定模型的冷却 | |
| result = await collection.update_one( | |
| {"filename": filename}, | |
| { | |
| "$unset": {f"model_cooldowns.{model_key}": ""}, | |
| "$set": {"updated_at": time.time()} | |
| } | |
| ) | |
| else: | |
| # 设置冷却时间 | |
| result = await collection.update_one( | |
| {"filename": filename}, | |
| { | |
| "$set": { | |
| f"model_cooldowns.{model_key}": cooldown_until, | |
| "updated_at": time.time() | |
| } | |
| } | |
| ) | |
| if result.matched_count == 0: | |
| log.warning(f"Credential {filename} not found") | |
| return False | |
| log.debug(f"Set model cooldown: {filename}, model_key={model_key}, cooldown_until={cooldown_until}") | |
| return True | |
| except Exception as e: | |
| log.error(f"Error setting model cooldown for {filename}: {e}") | |
| return False | |