mirror of
https://github.com/snailyp/gemini-balance.git
synced 2026-05-18 22:47:34 +08:00
b6a54190ed
本次提交主要更改了 `sync_initial_settings` 函数，增加了对 `DATABASE_TYPE` 设置的处理逻辑。具体变更包括： - 在从数据库更新内存设置时，跳过对 `DATABASE_TYPE` 的更新，并记录调试信息，说明该设置由环境变量控制。 - 在将内存设置同步到数据库时，同样跳过对 `DATABASE_TYPE` 的同步，并记录调试信息。 DATABASE_TYPE 配置项将不会从数据库加载，也不会被同步到数据库，确保了您可以通过环境配置来控制数据库类型。
467 lines
20 KiB
Python
467 lines
20 KiB
Python
"""
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应用程序配置模块
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"""
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import datetime
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import json
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from typing import Any, Dict, List, Type
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from pydantic import ValidationError, ValidationInfo, field_validator
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from pydantic_settings import BaseSettings
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from sqlalchemy import insert, select, update
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from app.core.constants import (
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API_VERSION,
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DEFAULT_CREATE_IMAGE_MODEL,
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DEFAULT_FILTER_MODELS,
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DEFAULT_MODEL,
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DEFAULT_SAFETY_SETTINGS,
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DEFAULT_STREAM_CHUNK_SIZE,
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DEFAULT_STREAM_LONG_TEXT_THRESHOLD,
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DEFAULT_STREAM_MAX_DELAY,
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DEFAULT_STREAM_MIN_DELAY,
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DEFAULT_STREAM_SHORT_TEXT_THRESHOLD,
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DEFAULT_TIMEOUT,
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MAX_RETRIES,
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)
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from app.log.logger import Logger
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class Settings(BaseSettings):
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# 数据库配置
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DATABASE_TYPE: str = "mysql" # sqlite 或 mysql
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SQLITE_DATABASE: str = "default_db"
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MYSQL_HOST: str = ""
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MYSQL_PORT: int = 3306
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MYSQL_USER: str = ""
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MYSQL_PASSWORD: str = ""
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MYSQL_DATABASE: str = ""
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MYSQL_SOCKET: str = ""
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# 验证 MySQL 配置
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@field_validator(
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"MYSQL_HOST", "MYSQL_PORT", "MYSQL_USER", "MYSQL_PASSWORD", "MYSQL_DATABASE"
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)
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def validate_mysql_config(cls, v: Any, info: ValidationInfo) -> Any:
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if info.data.get("DATABASE_TYPE") == "mysql":
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if v is None or v == "":
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raise ValueError(
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"MySQL configuration is required when DATABASE_TYPE is 'mysql'"
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)
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return v
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# API相关配置
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API_KEYS: List[str]
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ALLOWED_TOKENS: List[str]
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BASE_URL: str = f"https://generativelanguage.googleapis.com/{API_VERSION}"
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AUTH_TOKEN: str = ""
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MAX_FAILURES: int = 3
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TEST_MODEL: str = DEFAULT_MODEL
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TIME_OUT: int = DEFAULT_TIMEOUT
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MAX_RETRIES: int = MAX_RETRIES
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PROXIES: List[str] = [] # 新增：代理服务器列表
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# 模型相关配置
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SEARCH_MODELS: List[str] = ["gemini-2.0-flash-exp"]
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IMAGE_MODELS: List[str] = ["gemini-2.0-flash-exp"]
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FILTERED_MODELS: List[str] = DEFAULT_FILTER_MODELS
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TOOLS_CODE_EXECUTION_ENABLED: bool = False
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SHOW_SEARCH_LINK: bool = True
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SHOW_THINKING_PROCESS: bool = True
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THINKING_MODELS: List[str] = [] # 新增：用于思考过程的模型列表
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THINKING_BUDGET_MAP: Dict[str, float] = {} # 新增：模型对应的预算映射
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# 图像生成相关配置
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PAID_KEY: str = ""
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CREATE_IMAGE_MODEL: str = DEFAULT_CREATE_IMAGE_MODEL
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UPLOAD_PROVIDER: str = "smms"
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SMMS_SECRET_TOKEN: str = ""
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PICGO_API_KEY: str = ""
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CLOUDFLARE_IMGBED_URL: str = ""
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CLOUDFLARE_IMGBED_AUTH_CODE: str = ""
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# 流式输出优化器配置
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STREAM_OPTIMIZER_ENABLED: bool = False
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STREAM_MIN_DELAY: float = DEFAULT_STREAM_MIN_DELAY
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STREAM_MAX_DELAY: float = DEFAULT_STREAM_MAX_DELAY
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STREAM_SHORT_TEXT_THRESHOLD: int = DEFAULT_STREAM_SHORT_TEXT_THRESHOLD
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STREAM_LONG_TEXT_THRESHOLD: int = DEFAULT_STREAM_LONG_TEXT_THRESHOLD
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STREAM_CHUNK_SIZE: int = DEFAULT_STREAM_CHUNK_SIZE
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# 调度器配置
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CHECK_INTERVAL_HOURS: int = 1 # 默认检查间隔为1小时
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TIMEZONE: str = "Asia/Shanghai" # 默认时区
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# github
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GITHUB_REPO_OWNER: str = "snailyp"
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GITHUB_REPO_NAME: str = "gemini-balance"
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# 日志配置
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LOG_LEVEL: str = "INFO" # 默认日志级别
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AUTO_DELETE_ERROR_LOGS_ENABLED: bool = True # 是否开启自动删除错误日志
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AUTO_DELETE_ERROR_LOGS_DAYS: int = 7 # 自动删除多少天前的错误日志 (1, 7, 30)
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AUTO_DELETE_REQUEST_LOGS_ENABLED: bool = False # 是否开启自动删除请求日志
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AUTO_DELETE_REQUEST_LOGS_DAYS: int = 30 # 自动删除多少天前的请求日志 (1, 7, 30)
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SAFETY_SETTINGS: List[Dict[str, str]] = DEFAULT_SAFETY_SETTINGS # 新增：安全设置
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def __init__(self, **kwargs):
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super().__init__(**kwargs)
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# 设置默认AUTH_TOKEN（如果未提供）
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if not self.AUTH_TOKEN and self.ALLOWED_TOKENS:
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self.AUTH_TOKEN = self.ALLOWED_TOKENS[0]
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# 创建全局配置实例
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settings = Settings()
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def _parse_db_value(key: str, db_value: str, target_type: Type) -> Any:
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"""尝试将数据库字符串值解析为目标 Python 类型"""
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from app.log.logger import get_config_logger # 函数内导入
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logger = get_config_logger() # 函数内初始化
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try:
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# 处理 List[str]
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if target_type == List[str]:
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try:
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parsed = json.loads(db_value)
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if isinstance(parsed, list):
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return [str(item) for item in parsed]
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except json.JSONDecodeError:
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return [item.strip() for item in db_value.split(",") if item.strip()]
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logger.warning(
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f"Could not parse '{db_value}' as List[str] for key '{key}', falling back to comma split or empty list."
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)
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return [item.strip() for item in db_value.split(",") if item.strip()]
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# 处理 Dict[str, float]
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elif target_type == Dict[str, float]:
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parsed_dict = {}
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try:
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# First attempt: standard JSON parsing
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parsed = json.loads(db_value)
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if isinstance(parsed, dict):
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parsed_dict = {str(k): float(v) for k, v in parsed.items()}
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else:
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logger.warning(
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f"Parsed DB value for key '{key}' is not a dictionary type. Value: {db_value}"
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)
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except (json.JSONDecodeError, ValueError, TypeError) as e1:
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# Second attempt: try replacing single quotes if JSONDecodeError occurred
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if isinstance(e1, json.JSONDecodeError) and "'" in db_value:
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logger.warning(
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f"Failed initial JSON parse for key '{key}'. Attempting to replace single quotes. Error: {e1}"
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)
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try:
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corrected_db_value = db_value.replace("'", '"')
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parsed = json.loads(corrected_db_value)
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if isinstance(parsed, dict):
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parsed_dict = {str(k): float(v) for k, v in parsed.items()}
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else:
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logger.warning(
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f"Parsed DB value (after quote replacement) for key '{key}' is not a dictionary type. Value: {corrected_db_value}"
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)
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except (json.JSONDecodeError, ValueError, TypeError) as e2:
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logger.error(
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f"Could not parse '{db_value}' as Dict[str, float] for key '{key}' even after replacing quotes: {e2}. Returning empty dict."
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)
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else:
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# Log other errors (ValueError, TypeError) or JSON errors without single quotes
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logger.error(
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f"Could not parse '{db_value}' as Dict[str, float] for key '{key}': {e1}. Returning empty dict."
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)
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return parsed_dict # Return the parsed dict or an empty one if all attempts fail
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# 处理 List[Dict[str, str]]
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elif target_type == List[Dict[str, str]]:
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try:
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parsed = json.loads(db_value)
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if isinstance(parsed, list):
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# 验证列表中的每个元素是否为字典，并且键和值都是字符串
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valid = all(
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isinstance(item, dict)
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and all(isinstance(k, str) for k in item.keys())
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and all(isinstance(v, str) for v in item.values())
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for item in parsed
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)
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if valid:
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return parsed
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else:
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logger.warning(
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f"Invalid structure in List[Dict[str, str]] for key '{key}'. Value: {db_value}"
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)
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return [] # 或者返回默认值？这里返回空列表
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else:
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logger.warning(
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f"Parsed DB value for key '{key}' is not a list type. Value: {db_value}"
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)
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return []
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except json.JSONDecodeError:
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logger.error(
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f"Could not parse '{db_value}' as JSON for List[Dict[str, str]] for key '{key}'. Returning empty list."
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)
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return []
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except Exception as e:
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logger.error(
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f"Error parsing List[Dict[str, str]] for key '{key}': {e}. Value: {db_value}. Returning empty list."
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)
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return []
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# 处理 bool
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elif target_type == bool:
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return db_value.lower() in ("true", "1", "yes", "on")
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# 处理 int
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elif target_type == int:
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return int(db_value)
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# 处理 float
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elif target_type == float:
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return float(db_value)
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# 默认为 str 或其他 pydantic 能直接处理的类型
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else:
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return db_value
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except (ValueError, TypeError, json.JSONDecodeError) as e:
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logger.warning(
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f"Failed to parse db_value '{db_value}' for key '{key}' as type {target_type}: {e}. Using original string value."
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)
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return db_value # 解析失败则返回原始字符串
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async def sync_initial_settings():
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"""
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应用启动时同步配置：
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1. 从数据库加载设置。
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2. 将数据库设置合并到内存 settings (数据库优先)。
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3. 将最终的内存 settings 同步回数据库。
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"""
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from app.log.logger import get_config_logger # 函数内导入
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logger = get_config_logger() # 函数内初始化
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# 延迟导入以避免循环依赖和确保数据库连接已初始化
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from app.database.connection import database
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from app.database.models import Settings as SettingsModel
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global settings
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logger.info("Starting initial settings synchronization...")
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if not database.is_connected:
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try:
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await database.connect()
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logger.info("Database connection established for initial sync.")
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except Exception as e:
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logger.error(
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f"Failed to connect to database for initial settings sync: {e}. Skipping sync."
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)
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return
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try:
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# 1. 从数据库加载设置
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db_settings_raw: List[Dict[str, Any]] = []
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try:
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query = select(SettingsModel.key, SettingsModel.value)
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results = await database.fetch_all(query)
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db_settings_raw = [
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{"key": row["key"], "value": row["value"]} for row in results
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]
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logger.info(f"Fetched {len(db_settings_raw)} settings from database.")
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except Exception as e:
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logger.error(
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f"Failed to fetch settings from database: {e}. Proceeding with environment/dotenv settings."
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)
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# 即使数据库读取失败，也要继续执行，确保基于 env/dotenv 的配置能同步到数据库
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db_settings_map: Dict[str, str] = {
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s["key"]: s["value"] for s in db_settings_raw
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}
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# 2. 将数据库设置合并到内存 settings (数据库优先)
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updated_in_memory = False
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for key, db_value in db_settings_map.items():
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if key == "DATABASE_TYPE":
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logger.debug(
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f"Skipping update of '{key}' in memory from database. "
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"This setting is controlled by environment/dotenv."
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)
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continue
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if hasattr(settings, key):
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target_type = Settings.__annotations__.get(key)
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if target_type:
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try:
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parsed_db_value = _parse_db_value(key, db_value, target_type)
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memory_value = getattr(settings, key)
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# 比较解析后的值和内存中的值
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# 注意：对于列表等复杂类型，直接比较可能不够健壮，但这里简化处理
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if parsed_db_value != memory_value:
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# 检查类型是否匹配，以防解析函数返回了不兼容的类型
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type_match = False
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if target_type == List[str] and isinstance(
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parsed_db_value, list
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):
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type_match = True
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elif target_type == Dict[str, float] and isinstance(
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parsed_db_value, dict
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):
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type_match = True
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elif target_type not in (
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List[str],
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Dict[str, float],
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) and isinstance(parsed_db_value, target_type):
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type_match = True
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if type_match:
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setattr(settings, key, parsed_db_value)
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logger.debug(
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f"Updated setting '{key}' in memory from database value ({target_type})."
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)
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updated_in_memory = True
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else:
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logger.warning(
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f"Parsed DB value type mismatch for key '{key}'. Expected {target_type}, got {type(parsed_db_value)}. Skipping update."
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)
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except Exception as e:
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logger.error(
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f"Error processing database setting for key '{key}': {e}"
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)
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else:
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logger.warning(
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f"Database setting '{key}' not found in Settings model definition. Ignoring."
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)
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# 如果内存中有更新，重新验证 Pydantic 模型（可选但推荐）
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if updated_in_memory:
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try:
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# 重新加载以确保类型转换和验证
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settings = Settings(**settings.model_dump())
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logger.info(
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"Settings object re-validated after merging database values."
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)
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except ValidationError as e:
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logger.error(
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f"Validation error after merging database settings: {e}. Settings might be inconsistent."
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)
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# 3. 将最终的内存 settings 同步回数据库
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final_memory_settings = settings.model_dump()
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settings_to_update: List[Dict[str, Any]] = []
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settings_to_insert: List[Dict[str, Any]] = []
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now = datetime.datetime.now(datetime.timezone.utc)
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existing_db_keys = set(db_settings_map.keys())
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for key, value in final_memory_settings.items():
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if key == "DATABASE_TYPE":
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logger.debug(
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f"Skipping synchronization of '{key}' to database. "
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"This setting is controlled by environment/dotenv."
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)
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continue
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# 序列化值为字符串或 JSON 字符串
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if isinstance(value, (list, dict)): # 处理列表和字典
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db_value = json.dumps(
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value, ensure_ascii=False
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) # 使用 ensure_ascii=False 以支持非 ASCII 字符
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elif isinstance(value, bool):
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db_value = str(value).lower()
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elif value is None: # 处理 None 值
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db_value = "" # 或者根据需要设为 NULL 或其他标记
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else:
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db_value = str(value)
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data = {
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"key": key,
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"value": db_value,
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"description": f"{key} configuration setting", # 默认描述
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"updated_at": now,
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}
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if key in existing_db_keys:
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# 仅当值与数据库中的不同时才更新
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if db_settings_map[key] != db_value:
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settings_to_update.append(data)
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else:
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# 如果键不在数据库中，则插入
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data["created_at"] = now
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settings_to_insert.append(data)
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# 在事务中执行批量插入和更新
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if settings_to_insert or settings_to_update:
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try:
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async with database.transaction():
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if settings_to_insert:
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# 获取现有描述以避免覆盖
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query_existing = select(
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SettingsModel.key, SettingsModel.description
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).where(
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SettingsModel.key.in_(
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[s["key"] for s in settings_to_insert]
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)
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)
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existing_desc = {
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row["key"]: row["description"]
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for row in await database.fetch_all(query_existing)
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}
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for item in settings_to_insert:
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item["description"] = existing_desc.get(
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item["key"], item["description"]
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)
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query_insert = insert(SettingsModel).values(settings_to_insert)
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await database.execute(query=query_insert)
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logger.info(
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f"Synced (inserted) {len(settings_to_insert)} settings to database."
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)
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if settings_to_update:
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# 获取现有描述以避免覆盖
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query_existing = select(
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SettingsModel.key, SettingsModel.description
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).where(
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SettingsModel.key.in_(
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[s["key"] for s in settings_to_update]
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)
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)
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existing_desc = {
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row["key"]: row["description"]
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for row in await database.fetch_all(query_existing)
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}
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for setting_data in settings_to_update:
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setting_data["description"] = existing_desc.get(
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setting_data["key"], setting_data["description"]
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)
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query_update = (
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update(SettingsModel)
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.where(SettingsModel.key == setting_data["key"])
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.values(
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value=setting_data["value"],
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description=setting_data["description"],
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updated_at=setting_data["updated_at"],
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)
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)
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await database.execute(query=query_update)
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logger.info(
|
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f"Synced (updated) {len(settings_to_update)} settings to database."
|
||
)
|
||
except Exception as e:
|
||
logger.error(
|
||
f"Failed to sync settings to database during startup: {str(e)}"
|
||
)
|
||
else:
|
||
logger.info(
|
||
"No setting changes detected between memory and database during initial sync."
|
||
)
|
||
|
||
# 刷新日志等级
|
||
Logger.update_log_levels(final_memory_settings.get("LOG_LEVEL"))
|
||
|
||
except Exception as e:
|
||
logger.error(f"An unexpected error occurred during initial settings sync: {e}")
|
||
finally:
|
||
if database.is_connected:
|
||
try:
|
||
pass
|
||
except Exception as e:
|
||
logger.error(f"Error disconnecting database after initial sync: {e}")
|
||
|
||
logger.info("Initial settings synchronization finished.")
|