feat: 累积功能变更 — 聊天集成、租户管理、小程序更新、ETL 增强、迁移脚本

包含多个会话的累积代码变更:
- backend: AI 聊天服务、触发器调度、认证增强、WebSocket、调度器最小间隔
- admin-web: ETL 状态页、任务管理、调度配置、登录优化
- miniprogram: 看板页面、聊天集成、UI 组件、导航更新
- etl: DWS 新任务(finance_area_daily/board_cache)、连接器增强
- tenant-admin: 项目初始化
- db: 19 个迁移脚本(etl_feiqiu 11 + zqyy_app 8)
- packages/shared: 枚举和工具函数更新
- tools: 数据库工具、报表生成、健康检查
- docs: PRD/架构/部署/合约文档更新

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Neo
2026-04-06 00:03:48 +08:00
parent 70324d8542
commit 6f8f12314f
515 changed files with 76604 additions and 7456 deletions

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"""AI 模块配置 — 从环境变量加载 DashScope 相关参数。
所有 DASHSCOPE_* 环境变量和 INTERNAL_API_TOKEN 统一在此管理,
启动时通过 from_env() 校验必需变量,缺失立即报错。
"""
from __future__ import annotations
import os
from dataclasses import dataclass
@dataclass(frozen=True)
class AIConfig:
"""AI 模块配置从环境变量加载。不可变frozen"""
api_key: str # DASHSCOPE_API_KEY
workspace_id: str | None # DASHSCOPE_WORKSPACE_ID可选
app_id_1_chat: str # DASHSCOPE_APP_ID_1_CHAT
app_id_2_finance: str # DASHSCOPE_APP_ID_2_FINANCE
app_id_3_clue: str # DASHSCOPE_APP_ID_3_CLUE
app_id_4_analysis: str # DASHSCOPE_APP_ID_4_ANALYSIS
app_id_5_tactics: str # DASHSCOPE_APP_ID_5_TACTICS
app_id_6_note: str # DASHSCOPE_APP_ID_6_NOTE
app_id_7_customer: str # DASHSCOPE_APP_ID_7_CUSTOMER
app_id_8_consolidate: str # DASHSCOPE_APP_ID_8_CONSOLIDATE
internal_api_token: str # INTERNAL_API_TOKEN
@classmethod
def from_env(cls) -> AIConfig:
"""从环境变量加载配置。
必需变量缺失时立即抛出 ValueError禁止静默回退空字符串。
可选变量DASHSCOPE_WORKSPACE_ID缺失时为 None。
"""
required_mapping: dict[str, str] = {
"DASHSCOPE_API_KEY": "api_key",
"DASHSCOPE_APP_ID_1_CHAT": "app_id_1_chat",
"DASHSCOPE_APP_ID_2_FINANCE": "app_id_2_finance",
"DASHSCOPE_APP_ID_3_CLUE": "app_id_3_clue",
"DASHSCOPE_APP_ID_4_ANALYSIS": "app_id_4_analysis",
"DASHSCOPE_APP_ID_5_TACTICS": "app_id_5_tactics",
"DASHSCOPE_APP_ID_6_NOTE": "app_id_6_note",
"DASHSCOPE_APP_ID_7_CUSTOMER": "app_id_7_customer",
"DASHSCOPE_APP_ID_8_CONSOLIDATE": "app_id_8_consolidate",
"INTERNAL_API_TOKEN": "internal_api_token",
}
# 收集所有缺失的必需变量,一次性报错
missing: list[str] = []
values: dict[str, str] = {}
for env_name, field_name in required_mapping.items():
val = os.environ.get(env_name)
if not val: # None 或空字符串均视为缺失
missing.append(env_name)
else:
values[field_name] = val
if missing:
raise ValueError(
f"AI 配置缺失必需环境变量: {', '.join(missing)}"
)
# 可选变量
workspace_id = os.environ.get("DASHSCOPE_WORKSPACE_ID") or None
return cls(workspace_id=workspace_id, **values)