coolshot-ai-backend / schemas.py
Local AI Assistant
Clean backend deployment for Hugging Face
e9ea7c0
from pydantic import BaseModel
from typing import Optional, List
from datetime import datetime
class UserBase(BaseModel):
email: str
full_name: Optional[str] = None
company_name: Optional[str] = None
class UserCreate(UserBase):
password: str
class User(UserBase):
id: int
is_admin: bool
class Config:
orm_mode = True
class Token(BaseModel):
access_token: str
token_type: str
class TokenData(BaseModel):
email: Optional[str] = None
class UserActivity(User):
message_count: int
prompt_count: int
class ConversationBase(BaseModel):
title: str
class ConversationCreate(ConversationBase):
pass
class Conversation(ConversationBase):
id: int
user_id: int
created_at: datetime
updated_at: datetime
class Config:
orm_mode = True
class ChatMessageBase(BaseModel):
role: str
content: str
conversation_id: Optional[int] = None
class ChatMessageCreate(ChatMessageBase):
pass
class ChatMessage(ChatMessageBase):
id: int
user_id: int
timestamp: datetime
class Config:
orm_mode = True
class UserActivity(User):
message_count: int
prompt_count: int
class SavedPromptBase(BaseModel):
title: str
content: str
is_public: bool = False
class SavedPromptCreate(SavedPromptBase):
pass
class SavedPrompt(SavedPromptBase):
id: int
user_id: int
created_at: datetime
class Config:
orm_mode = True