Files
company-ai-platform/app/core/config.py
JiuContinent 92f490b97e ```
feat(core): 添加多API密钥支持和配置字段

添加了api_keys、audit_api_keys、approval_api_keys等字段用于支持多个服务密钥,
新增masked_response_fields用于配置响应掩码字段,以及legacy相关配置项。

feat(core): 增强响应数据掩码功能

扩展mask_configured函数支持域名参数,实现更精确的敏感字段掩码控制,
添加自定义掩码字段配置验证器。

feat(scheduler): 添加遗留系统同步调度任务

集成遗留项目和任务同步到定时调度器中,支持通过配置启用或禁用同步功能,
并可设置不同的执行时间计划。

feat(security): 实现多服务密钥认证机制

重构API密钥验证逻辑,支持单个主密钥和多个配置密钥的混合验证模式,
增加服务密钥启用状态检查和角色映射功能。

feat(task_queue): 扩展现有队列任务处理

为日常简报和周报推送任务添加Celery异步处理支持,新增遗留项目和任务同步任务,
统一任务分发接口。

feat(business): 扩展业务模型字段

为工作任务模型添加外部系统标识和外部ID字段,为风险事件模型增加分配、解决、关闭
等相关字段,并创建风险事件操作记录表。

feat(legacy_mysql): 实现遗留任务同步功能

添加遗留任务查询和同步路由,支持从旧MySQL数据库同步任务数据到内部系统,
包括同步结果统计和运行记录。

refactor(dashboard): 更新仪表板统计数据

增加未分配风险和失败推送运行统计,在概览中显示最新的推送和同步运行记录,
完善数据序列化展示。

fix(feishu): 修复审批事件重复处理

实现审批卡片操作事件的唯一性检查,防止重复审批操作,添加事件审计日志记录。
```
2026-07-08 12:05:09 +08:00

162 lines
6.4 KiB
Python

import json
from functools import lru_cache
from typing import Any
from pydantic import Field, field_validator
from pydantic_settings import BaseSettings, SettingsConfigDict
from app.core.constants import (
ActorValue,
ConfigErrorDetail,
DEFAULT_MODEL_PROVIDER,
DEFAULT_OPENCLAW_ACTION_JSON,
)
class Settings(BaseSettings):
"""Runtime settings loaded from environment variables and `.env`."""
model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
app_name: str = "Company AI Management Platform"
app_env: str = "local"
debug: bool = False
api_prefix: str = "/api/v1"
api_key: str | None = None
api_actor: str = ActorValue.API
api_keys: list[dict[str, Any]] = Field(default_factory=list)
audit_api_key: str | None = None
audit_api_actor: str = ActorValue.AUDITOR
audit_api_keys: list[dict[str, Any]] = Field(default_factory=list)
approval_api_key: str | None = None
approval_api_actor: str = ActorValue.APPROVER
approval_api_keys: list[dict[str, Any]] = Field(default_factory=list)
cors_origins: list[str] = Field(default_factory=lambda: ["*"])
mask_sensitive_responses: bool = True
masked_response_fields: list[str] = Field(default_factory=list)
database_url: str = "sqlite:///./company_ai.db"
legacy_database_url: str | None = None
legacy_project_query: str | None = None
legacy_task_query: str | None = None
legacy_allowed_queries: dict[str, str] = Field(default_factory=dict)
legacy_project_code_prefix: str = "LEGACY"
legacy_task_code_prefix: str = "LEGACY-TASK"
redis_url: str = "redis://127.0.0.1:6379/0"
feishu_base_url: str = "https://open.feishu.cn/open-apis"
feishu_app_id: str | None = None
feishu_app_secret: str | None = None
feishu_verification_token: str | None = None
feishu_encrypt_key: str | None = None
feishu_default_chat_id: str | None = None
model_provider: str = DEFAULT_MODEL_PROVIDER
openclaw_base_url: str = "http://127.0.0.1:2070"
openclaw_http_url: str | None = None
openclaw_ws_url: str | None = None
openclaw_api_key: str | None = None
openclaw_gateway_token: str | None = None
openclaw_allowed_tools: list[str] = Field(default_factory=list)
openclaw_allowed_actions: list[str] = Field(
default_factory=lambda: [DEFAULT_OPENCLAW_ACTION_JSON]
)
hermes_base_url: str = "http://127.0.0.1:2073/v1"
hermes_api_key: str | None = None
hermes_model: str = "hermes-agent"
hermes_session_id: str | None = None
direct_llm_base_url: str = "https://api.openai.com/v1"
direct_llm_api_key: str | None = None
direct_llm_model: str = "gpt-4.1-mini"
scheduler_enabled: bool = False
task_queue_enabled: bool = False
task_queue_always_eager: bool = False
legacy_sync_enabled: bool = False
celery_result_backend_url: str | None = None
daily_brief_cron_hour: int = 9
daily_brief_cron_minute: int = 0
weekly_project_report_day_of_week: str = "mon"
weekly_project_report_cron_hour: int = 9
weekly_project_report_cron_minute: int = 30
legacy_project_sync_cron_hour: int = 2
legacy_project_sync_cron_minute: int = 0
legacy_task_sync_cron_hour: int = 2
legacy_task_sync_cron_minute: int = 30
@field_validator("cors_origins", mode="before")
@classmethod
def parse_cors_origins(cls, value: Any) -> list[str]:
if isinstance(value, list):
return [str(item).strip() for item in value if str(item).strip()]
if value is None:
return []
text = str(value).strip()
if text.startswith("["):
data = json.loads(text)
if not isinstance(data, list):
raise ValueError(ConfigErrorDetail.CORS_ORIGINS_FORMAT)
return [str(item).strip() for item in data if str(item).strip()]
return [item.strip() for item in text.split(",") if item.strip()]
@field_validator("openclaw_allowed_tools", "openclaw_allowed_actions", mode="before")
@classmethod
def parse_csv_list(cls, value: str | list[str]) -> list[str]:
if isinstance(value, list):
return value
return [item.strip() for item in value.split(",") if item.strip()]
@field_validator("masked_response_fields", mode="before")
@classmethod
def parse_masked_response_fields(cls, value: Any) -> list[str]:
if isinstance(value, list):
return [str(item).strip() for item in value if str(item).strip()]
if value is None:
return []
text = str(value).strip()
if not text:
return []
if text.startswith("["):
data = json.loads(text)
if not isinstance(data, list):
raise ValueError(ConfigErrorDetail.CORS_ORIGINS_FORMAT)
return [str(item).strip() for item in data if str(item).strip()]
return [item.strip() for item in text.split(",") if item.strip()]
@field_validator("api_keys", "audit_api_keys", "approval_api_keys", mode="before")
@classmethod
def parse_service_keys(cls, value: Any) -> list[dict[str, Any]]:
if value is None or value == "":
return []
if isinstance(value, list):
return [dict(item) for item in value if isinstance(item, dict)]
if isinstance(value, str):
data = json.loads(value)
if not isinstance(data, list):
raise ValueError(ConfigErrorDetail.SERVICE_KEYS_FORMAT)
if not all(isinstance(item, dict) for item in data):
raise ValueError(ConfigErrorDetail.SERVICE_KEYS_FORMAT)
return [dict(item) for item in data]
raise ValueError(ConfigErrorDetail.SERVICE_KEYS_FORMAT)
@field_validator("legacy_allowed_queries", mode="before")
@classmethod
def parse_legacy_allowed_queries(cls, value: Any) -> dict[str, str]:
if value is None or value == "":
return {}
if isinstance(value, dict):
return {str(key): str(item) for key, item in value.items()}
if isinstance(value, str):
data = json.loads(value)
if not isinstance(data, dict):
raise ValueError(ConfigErrorDetail.LEGACY_ALLOWED_QUERIES_FORMAT)
return {str(key): str(item) for key, item in data.items()}
raise ValueError(ConfigErrorDetail.LEGACY_ALLOWED_QUERIES_FORMAT)
@lru_cache
def get_settings() -> Settings:
"""Return cached application settings."""
return Settings()