Files
company-ai-platform/app/core/config/settings.py
JiuContinent db751f03b4 ```
refactor(Dockerfile): 使用requirements.txt替代硬编码依赖

将Dockerfile中的硬编码pip包列表替换为通过requirements.txt文件安装,
提高依赖管理的灵活性和可维护性。

feat(scheduling): 移除内置APScheduler,采用独立调度系统

移除app/core/background/scheduler.py中原来的APScheduler实现,
改为使用新的应用级调度系统app.application.scheduling。

refactor(task_queue): 调整任务队列模块结构和导入路径

将任务队列相关常量从app.core.background.task_queue.constants迁移至
app.tasks.constants,并更新所有相关导入路径和引用。

refactor(events): 将事件服务重构为独立的应用层组件

将事件分发逻辑从核心层迁移到应用层,使用app.application.events.EventDispatchService
替代原有的app.modules.events.services.EventService。

feat(ai_memory): 增强AI记忆自动写入的安全策略

新增ai_memory_blocked_content_terms配置项用于阻止敏感内容,
添加TTL过期机制控制自动写入条目的生命周期。

fix(security): 强化生产环境安全验证机制

增加model_validator确保生产环境中数据库连接、API密钥、CORS设置等
关键安全配置符合要求。

feat(risks): 优化风险事件操作动作的外键约束

为RiskEventAction模型的风险事件ID字段添加外键约束,
防止孤立记录并增强数据完整性。

refactor(audit): 优化审计服务方法命名和事务处理

将AuditService的log方法重命名为record以反映其阶段行为,
并调整事务提交时机以提高性能。

feat(events): 增强领域事件并发处理和响应模型

添加事件锁定机制防止重复处理,更新API响应模型以提供
更准确的数据类型定义。
```
2026-07-15 16:36:42 +08:00

266 lines
10 KiB
Python

import json
from functools import lru_cache
from typing import Annotated, Any
from pydantic import Field, field_validator, model_validator
from pydantic_settings import BaseSettings, NoDecode, 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
read_only_mode: bool = True
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)
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: Annotated[list[str], NoDecode] = Field(default_factory=list)
openclaw_allowed_actions: Annotated[list[str], NoDecode] = 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
lifecycle_pipeline_enabled: bool = False
finance_needs_enabled: bool = False
market_analysis_enabled: bool = False
market_data_provider: str = "tushare"
market_data_base_url: str = "https://api.tushare.pro"
market_data_token: str | None = None
market_premarket_cron_hour: int = 8
market_premarket_cron_minute: int = 30
market_close_cron_hour: int = 15
market_close_cron_minute: int = 30
market_weekly_day_of_week: str = "sun"
market_weekly_cron_hour: int = 20
market_weekly_cron_minute: int = 0
legacy_sync_enabled: bool = False
celery_result_backend_url: str | None = None
daily_brief_cron_hour: int = 9
daily_brief_cron_minute: int = 0
attendance_summary_cron_hour: int = 18
attendance_summary_cron_minute: int = 0
risk_progress_cron_hour: int = 17
risk_progress_cron_minute: int = 30
work_daily_cron_hour: int = 18
work_daily_cron_minute: int = 30
work_weekly_report_day_of_week: str = "fri"
work_weekly_cron_hour: int = 18
work_weekly_cron_minute: int = 45
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
event_dispatch_enabled: bool = True
event_dispatch_batch_size: int = 100
event_dispatch_max_attempts: int = 3
event_dispatch_retry_delay_seconds: int = 300
event_dispatch_lock_seconds: int = 300
event_dispatch_cron_minute: str = "*/5"
heartbeat_interval_seconds: int = 60
ai_memory_enabled: bool = True
ai_memory_auto_write_enabled: bool = True
ai_memory_recall_limit: int = 5
ai_memory_auto_write_ttl_days: int = Field(default=90, ge=1, le=3650)
ai_memory_blocked_content_terms: list[str] = Field(
default_factory=lambda: [
"bank account",
"budget",
"cash flow",
"financial statement",
"id card",
"payment",
"salary",
"成本",
"付款",
"工资",
"收款",
"现金流",
"财务",
"预算",
]
)
ai_analysis_max_attempts: int = 3
ai_memory_forbidden_keys: list[str] = Field(
default_factory=lambda: [
"authorization",
"api_key",
"apikey",
"access_token",
"tenant_access_token",
"token",
"secret",
"password",
"openclaw_gateway_token",
"hermes_api_key",
"direct_llm_api_key",
"market_data_token",
"feishu_app_secret",
"feishu_verification_token",
]
)
@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",
"ai_memory_forbidden_keys",
"ai_memory_blocked_content_terms",
mode="before",
)
@classmethod
def parse_csv_list(cls, value: str | list[str] | None) -> list[str]:
if value is None:
return []
if isinstance(value, list):
return [str(item).strip() for item in value if str(item).strip()]
text = 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("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", 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)
@model_validator(mode="after")
def validate_production_safety(self) -> "Settings":
if self.app_env.lower() not in {"prod", "production"}:
return self
errors: list[str] = []
if self.database_url.startswith("sqlite"):
errors.append("DATABASE_URL must use PostgreSQL in production")
if not self.api_key and not any(item.get("key") for item in self.api_keys):
errors.append("API_KEY or API_KEYS is required in production")
if not self.audit_api_key and not any(
item.get("key") for item in self.audit_api_keys
):
errors.append("AUDIT_API_KEY or AUDIT_API_KEYS is required in production")
if "*" in self.cors_origins:
errors.append("CORS_ORIGINS cannot contain '*' in production")
if self.debug:
errors.append("DEBUG must be false in production")
if errors:
raise ValueError("; ".join(errors))
return self
@lru_cache
def get_settings() -> Settings:
"""Return cached application settings."""
return Settings()