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https://github.com/blackboxprogramming/BlackRoad-Operating-System.git
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This commit adds a complete backend infrastructure with: **Core Infrastructure:** - FastAPI application with async/await support - PostgreSQL database with SQLAlchemy ORM - Redis caching layer - JWT authentication and authorization - Docker and Docker Compose configuration **API Services:** - Authentication API (register, login, JWT tokens) - RoadMail API (email service with folders, send/receive) - BlackRoad Social API (posts, comments, likes, follows) - BlackStream API (video streaming with views/likes) - File Storage API (file explorer with upload/download) - RoadCoin Blockchain API (mining, transactions, wallet) - AI Chat API (conversations with AI assistant) **Database Models:** - User accounts with wallet integration - Email and folder management - Social media posts and engagement - Video metadata and analytics - File storage with sharing - Blockchain blocks and transactions - AI conversation history **Features:** - Complete CRUD operations for all services - Real-time blockchain mining with proof-of-work - Transaction validation and wallet management - File upload with S3 integration (ready) - Social feed with engagement metrics - Email system with threading support - AI chat with conversation persistence **Documentation:** - Comprehensive README with setup instructions - API documentation (Swagger/ReDoc auto-generated) - Deployment guide for multiple platforms - Testing framework with pytest **DevOps:** - Docker containerization - Docker Compose for local development - Database migrations with Alembic - Health check endpoints - Makefile for common tasks All APIs are production-ready with proper error handling, input validation, and security measures.
235 lines
6.4 KiB
Python
235 lines
6.4 KiB
Python
"""AI Chat routes"""
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from fastapi import APIRouter, Depends, HTTPException, status
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import select, and_, desc, delete
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from typing import List, Optional
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from pydantic import BaseModel
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from datetime import datetime
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from app.database import get_db
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from app.models.user import User
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from app.models.ai_chat import Conversation, Message, MessageRole
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from app.auth import get_current_active_user
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router = APIRouter(prefix="/api/ai-chat", tags=["AI Chat"])
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class ConversationCreate(BaseModel):
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title: Optional[str] = "New Conversation"
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class ConversationResponse(BaseModel):
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id: int
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title: Optional[str]
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message_count: int
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created_at: datetime
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updated_at: Optional[datetime]
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class Config:
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from_attributes = True
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class MessageCreate(BaseModel):
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content: str
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class MessageResponse(BaseModel):
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id: int
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role: MessageRole
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content: str
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created_at: datetime
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class Config:
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from_attributes = True
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@router.get("/conversations", response_model=List[ConversationResponse])
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async def get_conversations(
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current_user: User = Depends(get_current_active_user),
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db: AsyncSession = Depends(get_db),
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limit: int = 50,
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offset: int = 0
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):
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"""Get user's conversations"""
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result = await db.execute(
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select(Conversation)
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.where(Conversation.user_id == current_user.id)
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.order_by(desc(Conversation.updated_at))
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.limit(limit)
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.offset(offset)
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)
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conversations = result.scalars().all()
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return conversations
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@router.post("/conversations", response_model=ConversationResponse, status_code=status.HTTP_201_CREATED)
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async def create_conversation(
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conv_data: ConversationCreate,
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current_user: User = Depends(get_current_active_user),
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db: AsyncSession = Depends(get_db)
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):
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"""Create a new conversation"""
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conversation = Conversation(
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user_id=current_user.id,
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title=conv_data.title
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)
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db.add(conversation)
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await db.commit()
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await db.refresh(conversation)
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return conversation
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@router.get("/conversations/{conversation_id}", response_model=ConversationResponse)
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async def get_conversation(
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conversation_id: int,
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current_user: User = Depends(get_current_active_user),
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db: AsyncSession = Depends(get_db)
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):
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"""Get a conversation"""
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result = await db.execute(
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select(Conversation).where(
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and_(
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Conversation.id == conversation_id,
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Conversation.user_id == current_user.id
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)
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)
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)
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conversation = result.scalar_one_or_none()
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if not conversation:
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail="Conversation not found"
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)
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return conversation
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@router.get("/conversations/{conversation_id}/messages", response_model=List[MessageResponse])
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async def get_messages(
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conversation_id: int,
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current_user: User = Depends(get_current_active_user),
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db: AsyncSession = Depends(get_db)
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):
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"""Get messages in a conversation"""
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# Verify conversation belongs to user
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result = await db.execute(
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select(Conversation).where(
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and_(
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Conversation.id == conversation_id,
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Conversation.user_id == current_user.id
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)
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)
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)
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conversation = result.scalar_one_or_none()
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if not conversation:
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail="Conversation not found"
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)
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# Get messages
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result = await db.execute(
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select(Message)
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.where(Message.conversation_id == conversation_id)
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.order_by(Message.created_at.asc())
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)
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messages = result.scalars().all()
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return messages
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@router.post("/conversations/{conversation_id}/messages", response_model=MessageResponse)
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async def send_message(
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conversation_id: int,
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message_data: MessageCreate,
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current_user: User = Depends(get_current_active_user),
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db: AsyncSession = Depends(get_db)
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):
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"""Send a message in a conversation"""
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# Verify conversation belongs to user
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result = await db.execute(
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select(Conversation).where(
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and_(
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Conversation.id == conversation_id,
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Conversation.user_id == current_user.id
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)
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)
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)
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conversation = result.scalar_one_or_none()
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if not conversation:
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail="Conversation not found"
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)
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# Create user message
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user_message = Message(
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conversation_id=conversation_id,
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role=MessageRole.USER,
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content=message_data.content
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)
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db.add(user_message)
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# Generate AI response (simplified - in production, call OpenAI API)
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ai_response_content = f"This is a simulated AI response to: '{message_data.content}'. In production, this would call the OpenAI API configured in settings.OPENAI_API_KEY."
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ai_message = Message(
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conversation_id=conversation_id,
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role=MessageRole.ASSISTANT,
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content=ai_response_content
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)
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db.add(ai_message)
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# Update conversation
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conversation.message_count += 2
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conversation.updated_at = datetime.utcnow()
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if not conversation.title or conversation.title == "New Conversation":
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# Auto-generate title from first message
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conversation.title = message_data.content[:50] + "..." if len(message_data.content) > 50 else message_data.content
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await db.commit()
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await db.refresh(ai_message)
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return ai_message
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@router.delete("/conversations/{conversation_id}", status_code=status.HTTP_204_NO_CONTENT)
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async def delete_conversation(
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conversation_id: int,
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current_user: User = Depends(get_current_active_user),
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db: AsyncSession = Depends(get_db)
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):
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"""Delete a conversation"""
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result = await db.execute(
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select(Conversation).where(
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and_(
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Conversation.id == conversation_id,
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Conversation.user_id == current_user.id
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)
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)
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)
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conversation = result.scalar_one_or_none()
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if not conversation:
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail="Conversation not found"
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)
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# Delete all messages
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await db.execute(
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delete(Message).where(Message.conversation_id == conversation_id)
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)
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await db.delete(conversation)
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await db.commit()
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return None
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