from functools import lru_cache from dotenv import load_dotenv from pydantic import Field from pydantic_settings import BaseSettings, SettingsConfigDict # 把 `.env` 显式注入进程环境变量。pydantic-settings 只把 `.env` 读进 Settings 对象， # **不会**写 `os.environ`；而模型密钥解析（`EnvironmentSecretResolver` 要求 secret_ref # 形如 `env:VAR`）读的正是 `os.getenv`。两者不打通就会出现"按文档在 .env 里配好密钥、 # 运行时却读不到"，且症状伪装成"没有可用的模型端点"，排查方向被带偏。 # `override=False`：真实进程环境变量优先，`.env` 只作补充（生产用容器注入时不会被覆盖）。 load_dotenv(override=False) class Settings(BaseSettings): app_env: str = "local" app_name: str = "jr-agent-platform" log_level: str = "INFO" timezone: str = "Asia/Shanghai" cors_allowed_origins: str = "http://127.0.0.1:5173,http://localhost:5173" jwt_issuer: str jwt_audience: str jwt_algorithm: str = "RS256" # 默认指向**开发专用**密钥（tools/generate_jwt_keys.py 生成，config/jwt/ 不进版本库）。 # 生产环境必须用环境变量覆盖为生产机上单独生成的那一套，不要复用开发密钥。 jwt_private_key_path: str = "config/jwt/dev/jwt-private.pem" jwt_public_key_path: str = "config/jwt/dev/jwt-public.pem" jwt_clock_skew_seconds: int = Field(default=30, ge=0) visitor_token_ttl_seconds: int = Field(default=900, ge=60, le=3600) mysql_dsn: str mysql_pool_size: int = Field(default=5, ge=1) mysql_max_overflow: int = Field(default=10, ge=0) mysql_pool_pre_ping: bool = False mysql_tx_isolation: str = "READ COMMITTED" redis_url: str redis_connect_timeout_seconds: float = Field(default=2, gt=0) # 限流（文档 §3.5 的 429 / §3.6 的 RATE_LIMITED）。默认值刻意宽松： # 每用户每接口每分钟 600 次（10 QPS）。取值依据是"本地验收与集成测试的量级"—— # 两个验收脚本与 tests/integration 里同一身份对同一接口最多几十次调用， # 600 留了一个数量级余量，绝不可能误伤；同时 10 QPS 已足以拦住单个客户端 # 把底座打爆（正常业务交互远低于 1 QPS）。生产按真实容量收紧即可，无需改代码。 rate_limit_enabled: bool = True rate_limit_window_seconds: int = Field(default=60, gt=0) rate_limit_max_requests: int = Field(default=600, ge=1) rate_limit_key_prefix: str = "jr:rate_limit" message_broker_url: str = "" message_broker_run_topic: str = "agent.run" message_broker_outbox_topic: str = "agent.outbox" message_broker_dlq_topic: str = "agent.dlq" milvus_uri: str milvus_local_uri: str = "" milvus_token: str = "" milvus_collection: str = "jr_memory" neo4j_uri: str neo4j_database: str = "neo4j" neo4j_username: str = "neo4j" neo4j_password: str = "" model_router_config_ref: str = "local" model_default_endpoint: str = "" model_fallback_endpoint: str = "" knowledge_embedding_endpoint_code: str = "" knowledge_embedding_timeout_ms: int = Field(default=15000, gt=0) sse_heartbeat_seconds: int = Field(default=15, gt=0) sse_chunk_characters: int = Field(default=256, ge=1, le=4096) sse_max_connection_seconds: int = Field(default=300, gt=0) worker_lease_seconds: int = Field(default=60, gt=0) worker_retry_limit: int = Field(default=3, ge=0) worker_poll_seconds: float = Field(default=1, gt=0) offsite_mailbox: str = "15273589815@163.com" offsite_allowed_senders: tuple[str, ...] = ("15008108550@163.com",) offsite_risk_receiver_id: str = "" offsite_settlement_receiver_id: str = "" offsite_mail_return_receiver: str = "15008108550@163.com" offsite_max_retry_count: int = Field(default=3, ge=0) offsite_imap_enabled: bool = False offsite_imap_host: str = "" offsite_imap_port: int = Field(default=993, gt=0) offsite_imap_username: str = "" offsite_imap_password: str = "" offsite_imap_use_ssl: bool = True offsite_imap_idle_enabled: bool = False offsite_imap_idle_timeout_seconds: float = Field(default=120, gt=0) offsite_mail_worker_enabled: bool = False offsite_mail_worker_batch_size: int = Field(default=20, ge=1, le=100) offsite_worker_user_id: str = "" offsite_notification_sending_timeout_seconds: int = Field(default=900, gt=0) offsite_mail_storage_dir: str = "data/offsite_mail" offsite_ocr_enabled: bool = False offsite_ocr_timeout_seconds: float = Field(default=30, gt=0) offsite_aliyun_ocr_endpoint: str = "https://docmind-api.cn-hangzhou.aliyuncs.com" offsite_aliyun_region_id: str = "cn-hangzhou" offsite_aliyun_poll_interval_seconds: float = Field(default=1, gt=0) offsite_aliyun_access_key_id: str = "" offsite_aliyun_access_key_secret: str = "" offsite_deepseek_enabled: bool = False offsite_deepseek_base_url: str = "https://api.deepseek.com" offsite_deepseek_api_key: str = "" offsite_deepseek_model: str = "deepseek-v4-flash" offsite_deepseek_timeout_seconds: float = Field(default=30, gt=0) offsite_smtp_enabled: bool = False offsite_smtp_dry_run: bool = True offsite_smtp_host: str = "" offsite_smtp_port: int = Field(default=465, gt=0) offsite_smtp_username: str = "" offsite_smtp_password: str = "" offsite_smtp_sender: str = "" offsite_smtp_use_ssl: bool = True offsite_smtp_timeout_seconds: float = Field(default=30, gt=0) promotion_material_storage_dir: str = "data/promotion_materials" promotion_pdf_enabled: bool = False promotion_pdf_converter_path: str = "" promotion_max_photo_size_bytes: int = Field(default=10 * 1024 * 1024, gt=0) promotion_max_performance_file_size_bytes: int = Field(default=20 * 1024 * 1024, gt=0) risk_scan_schedule_enabled: bool = False risk_scan_interval_minutes: int = Field(default=5, ge=1, le=1440) risk_scan_run_immediately: bool = False risk_scan_retry_limit: int = Field(default=2, ge=0, le=5) risk_scan_poll_seconds: float = Field(default=30, gt=0) # 投顾灰度默认关闭，只有显式开启并配置客户白名单后才限制客户流量。 # 管理员角色始终可进入，便于审核、发布和故障处置。 advisor_rollout_enabled: bool = False advisor_rollout_customer_ids: str = "" @property def resolved_milvus_uri(self) -> str: """本地开发优先使用 Lite 文件；部署环境使用标准 Milvus URI。""" return self.milvus_local_uri or self.milvus_uri model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore") @lru_cache(maxsize=1) def get_settings() -> Settings: return Settings() # type: ignore[call-arg]