root c62156af53 feat(backend): 数字员工平台 B1+B2 批次实现
B1: 项目脚手架 + 数据模型 + 租户管理
- Task 1.1: FastAPI 项目脚手架、SQLite + async SQLAlchemy
- Task 1.2: 7 个数据模型 (Tenant, TenantConfig, DigitalEmployee, Conversation, Message, KnowledgeBase, Document)
- Task 1.3: 租户 CRUD API + LLM 配置(含 API Key AES 加密)

B2: 数字员工配置 + LLM Provider 抽象层
- Task 2.1: 数字员工 CRUD API(关联知识库)
- Task 2.2: BaseLLMProvider 抽象接口 + OpenAI/Qwen Provider
- Task 2.3: Provider 动态实例化 + test-provider 端点

验证: 26 个测试全部通过

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-06 11:29:48 +08:00

64 lines
1.9 KiB
Python

import json
from datetime import datetime
from pydantic import BaseModel, Field
class EmployeeCreate(BaseModel):
tenant_id: str
name: str = Field(..., max_length=200)
role: str = Field(..., max_length=100)
system_prompt: str
greeting: str | None = None
avatar_url: str | None = Field(None, max_length=500)
temperature: float = 0.7
max_context_messages: int = 20
knowledge_base_ids: list[str] = []
class EmployeeUpdate(BaseModel):
name: str | None = Field(None, max_length=200)
role: str | None = Field(None, max_length=100)
system_prompt: str | None = None
greeting: str | None = None
avatar_url: str | None = Field(None, max_length=500)
temperature: float | None = None
max_context_messages: int | None = None
knowledge_base_ids: list[str] | None = None
status: str | None = None
class EmployeeResponse(BaseModel):
id: str
tenant_id: str
name: str
role: str
system_prompt: str
greeting: str | None
avatar_url: str | None
temperature: float
max_context_messages: int
knowledge_base_ids: list[str]
status: str
created_at: datetime
updated_at: datetime
@classmethod
def from_model(cls, employee) -> "EmployeeResponse":
kb_ids = json.loads(employee.knowledge_base_ids) if employee.knowledge_base_ids else []
return cls(
id=employee.id,
tenant_id=employee.tenant_id,
name=employee.name,
role=employee.role,
system_prompt=employee.system_prompt,
greeting=employee.greeting,
avatar_url=employee.avatar_url,
temperature=employee.temperature,
max_context_messages=employee.max_context_messages,
knowledge_base_ids=kb_ids,
status=employee.status.value,
created_at=employee.created_at,
updated_at=employee.updated_at,
)