JiuContinent
71ca804764
feat: 添加公司AI管理平台基础架构 添加了完整的FastAPI后端项目结构，包括： - 环境配置文件(.env.example)和项目说明文档(README.md、AGENTS.md) - Dockerfile用于容器化部署 - 核心基础设施：配置管理、数据库连接、调度器、安全认证 - 模块化设计：AI代理、审批流程、审计日志、业务台账等功能模块 - 支持多数据库连接(主库和遗留系统只读库) - AI适配器支持OpenClaw、Hermes、OpenAI兼容接口 - 飞书集成、报表生成、风险监控等企业级功能 - 完整的依赖管理和测试指南 ```
55 lines
1.4 KiB
Python
55 lines
1.4 KiB
Python
from typing import Any
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from pydantic import BaseModel, Field
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class ReadonlyQueryRequest(BaseModel):
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"""Readonly SQL query request for the legacy MySQL connection."""
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sql: str = Field(..., description="Readonly SELECT statement.")
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params: dict[str, Any] = Field(default_factory=dict)
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limit: int = Field(default=100, ge=1, le=500)
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class QueryResult(BaseModel):
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"""Tabular query result returned as JSON rows."""
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columns: list[str]
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rows: list[dict[str, Any]]
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row_count: int
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class LegacyProjectRecord(BaseModel):
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"""Raw project row from the legacy project system."""
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data: dict[str, Any]
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class LegacyProjectSyncRequest(BaseModel):
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"""Request body for syncing legacy projects into the internal ledger."""
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source_query: str | None = Field(
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default=None,
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description="Optional SELECT query for project sync.",
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)
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field_map: dict[str, str] = Field(
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default_factory=dict,
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description=(
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"Map internal project fields to legacy row fields, "
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"e.g. {'name': 'project_name'}."
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),
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)
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limit: int = Field(default=100, ge=1, le=500)
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dry_run: bool = True
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actor: str = "api"
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class LegacyProjectSyncResult(BaseModel):
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"""Summary of a legacy project sync operation."""
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dry_run: bool
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created: int
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updated: int
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skipped: int
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items: list[dict[str, Any]]
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