JiuContinent
514b14d390
feat: 添加飞书集成和审计API密钥认证 - 在数据库配置中添加飞书模型导入 - 添加审计API密钥配置项和认证中间件 - 实现飞书事件重复处理防止机制 - 为审批路由添加API密钥认证 - 优化AI适配器错误处理并添加JSON解析异常捕获 - 更新测试用例以包含新的认证和事件处理逻辑 ```
109 lines
4.1 KiB
Python
109 lines
4.1 KiB
Python
import json
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from functools import lru_cache
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from typing import Any
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from pydantic import Field, field_validator
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from pydantic_settings import BaseSettings, SettingsConfigDict
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from app.core.constants import ActorValue
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DEFAULT_MODEL_PROVIDER = "noop"
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class Settings(BaseSettings):
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"""Runtime settings loaded from environment variables and `.env`."""
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model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
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app_name: str = "Company AI Management Platform"
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app_env: str = "local"
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debug: bool = False
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api_prefix: str = "/api/v1"
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api_key: str | None = None
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api_actor: str = ActorValue.API
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audit_api_key: str | None = None
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audit_api_actor: str = ActorValue.AUDITOR
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approval_api_key: str | None = None
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approval_api_actor: str = ActorValue.APPROVER
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cors_origins: list[str] = Field(default_factory=lambda: ["*"])
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database_url: str = "sqlite:///./company_ai.db"
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legacy_database_url: str | None = None
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legacy_project_query: str | None = None
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legacy_allowed_queries: dict[str, str] = Field(default_factory=dict)
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legacy_project_code_prefix: str = "LEGACY"
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redis_url: str = "redis://127.0.0.1:6379/0"
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feishu_base_url: str = "https://open.feishu.cn/open-apis"
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feishu_app_id: str | None = None
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feishu_app_secret: str | None = None
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feishu_verification_token: str | None = None
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feishu_encrypt_key: str | None = None
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feishu_default_chat_id: str | None = None
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model_provider: str = DEFAULT_MODEL_PROVIDER
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openclaw_base_url: str = "http://127.0.0.1:2070"
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openclaw_http_url: str | None = None
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openclaw_ws_url: str | None = None
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openclaw_api_key: str | None = None
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openclaw_gateway_token: str | None = None
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openclaw_allowed_tools: list[str] = Field(default_factory=list)
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openclaw_allowed_actions: list[str] = Field(default_factory=lambda: ["json"])
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hermes_base_url: str = "http://127.0.0.1:2073/v1"
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hermes_api_key: str | None = None
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hermes_model: str = "hermes-agent"
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hermes_session_id: str | None = None
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direct_llm_base_url: str = "https://api.openai.com/v1"
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direct_llm_api_key: str | None = None
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direct_llm_model: str = "gpt-4.1-mini"
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scheduler_enabled: bool = False
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daily_brief_cron_hour: int = 9
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daily_brief_cron_minute: int = 0
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weekly_project_report_day_of_week: str = "mon"
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weekly_project_report_cron_hour: int = 9
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weekly_project_report_cron_minute: int = 30
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@field_validator("cors_origins", mode="before")
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@classmethod
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def parse_cors_origins(cls, value: Any) -> list[str]:
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if isinstance(value, list):
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return [str(item).strip() for item in value if str(item).strip()]
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if value is None:
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return []
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text = str(value).strip()
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if text.startswith("["):
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data = json.loads(text)
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if not isinstance(data, list):
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raise ValueError("CORS_ORIGINS must be a CSV string or JSON list")
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return [str(item).strip() for item in data if str(item).strip()]
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return [item.strip() for item in text.split(",") if item.strip()]
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@field_validator("openclaw_allowed_tools", "openclaw_allowed_actions", mode="before")
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@classmethod
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def parse_csv_list(cls, value: str | list[str]) -> list[str]:
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if isinstance(value, list):
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return value
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return [item.strip() for item in value.split(",") if item.strip()]
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@field_validator("legacy_allowed_queries", mode="before")
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@classmethod
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def parse_legacy_allowed_queries(cls, value: Any) -> dict[str, str]:
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if value is None or value == "":
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return {}
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if isinstance(value, dict):
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return {str(key): str(item) for key, item in value.items()}
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if isinstance(value, str):
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data = json.loads(value)
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if not isinstance(data, dict):
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raise ValueError("LEGACY_ALLOWED_QUERIES must be a JSON object")
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return {str(key): str(item) for key, item in data.items()}
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raise ValueError("LEGACY_ALLOWED_QUERIES must be a JSON object")
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@lru_cache
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def get_settings() -> Settings:
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"""Return cached application settings."""
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return Settings()
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