mgzon-app / api /models.py
Mark-Lasfar
Fix ChunkedIteratorResult in SQLAlchemyUserDatabase and toggleBtn null error
dd39508
# api/models.py
from pydantic import BaseModel, Field
from typing import List, Optional
from fastapi_users import schemas
from datetime import datetime
# Pydantic schemas for fastapi-users
class UserRead(schemas.BaseUser[int]):
id: int
email: str
is_active: bool = True
is_superuser: bool = False
display_name: Optional[str] = None
preferred_model: Optional[str] = None
job_title: Optional[str] = None
education: Optional[str] = None
interests: Optional[str] = None
additional_info: Optional[str] = None
conversation_style: Optional[str] = None
model_config = {"from_attributes": True}
class UserCreate(schemas.BaseUserCreate):
email: str
password: str
is_active: Optional[bool] = True
is_superuser: Optional[bool] = False
display_name: Optional[str] = None
preferred_model: Optional[str] = None
job_title: Optional[str] = None
education: Optional[str] = None
interests: Optional[str] = None
additional_info: Optional[str] = None
conversation_style: Optional[str] = None
model_config = {"from_attributes": True}
# Pydantic schema for updating user settings
class UserUpdate(BaseModel):
display_name: Optional[str] = None
preferred_model: Optional[str] = None
job_title: Optional[str] = None
education: Optional[str] = None
interests: Optional[str] = None
additional_info: Optional[str] = None
conversation_style: Optional[str] = None
model_config = {"from_attributes": True}
# Pydantic schemas للمحادثات
class MessageOut(BaseModel):
id: int
role: str
content: str
created_at: datetime
model_config = {"from_attributes": True}
class ConversationCreate(BaseModel):
title: Optional[str] = None
class ConversationOut(BaseModel):
id: int
conversation_id: str
title: Optional[str]
created_at: datetime
updated_at: datetime
messages: List[MessageOut] = []
model_config = {"from_attributes": True}
# نموذج طلب الاستعلام
class QueryRequest(BaseModel):
message: str
system_prompt: Optional[str] = "You are an expert assistant providing detailed, comprehensive, and well-structured responses."
history: Optional[List[dict]] = []
temperature: Optional[float] = 0.7
max_new_tokens: Optional[int] = 2048
enable_browsing: Optional[bool] = True
output_format: Optional[str] = "text"
title: Optional[str] = None
ConversationOut.model_revalidate = True
MessageOut.model_revalidate = True