Backend infrastructure: - PostgreSQL models (users, channels, messages, DMs, files, artifacts) - JWT authentication with password hashing - Auth API (register, login, logout, get user) - Channels API (create, list, join, leave) - Messages API with @grimlock mention detection - AI responds automatically when @mentioned - Background task processing for AI responses Database: - SQLAlchemy ORM models - Alembic ready for migrations - PostgreSQL + Redis in docker-compose Features working: - User registration and login - Create/join public channels - Send messages in channels - @grimlock triggers AI response with channel context - Real-time ready (WebSocket next) Next: WebSocket for real-time updates, frontend interface
263 lines
7.7 KiB
Python
263 lines
7.7 KiB
Python
"""
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Messages API - Send and receive messages with @mention support
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"""
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from fastapi import APIRouter, Depends, HTTPException, status, BackgroundTasks
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from sqlalchemy.orm import Session
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from pydantic import BaseModel
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from typing import List, Optional
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import re
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from datetime import datetime
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from core.database import get_db
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from core.models import Message, Channel, User, ChannelType
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from core.ai_client import AIClient
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from core.context_manager import ContextManager
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from api.auth import get_current_user
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import main
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router = APIRouter()
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# Pydantic models
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class MessageCreate(BaseModel):
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content: str
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reply_to: Optional[int] = None
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class UserInfo(BaseModel):
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id: int
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name: str
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email: str
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role: str
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is_online: bool
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class Config:
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from_attributes = True
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class MessageResponse(BaseModel):
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id: int
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content: str
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is_ai_message: bool
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user: Optional[UserInfo]
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reply_to_message_id: Optional[int]
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created_at: str
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edited_at: Optional[str]
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class Config:
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from_attributes = True
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def detect_grimlock_mention(content: str) -> bool:
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"""Detect if @grimlock is mentioned in message"""
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return bool(re.search(r'@grimlock\b', content, re.IGNORECASE))
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def extract_mention_query(content: str) -> str:
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"""Extract the query after @grimlock mention"""
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# Remove @grimlock and return the rest
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return re.sub(r'@grimlock\s*', '', content, flags=re.IGNORECASE).strip()
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async def handle_grimlock_mention(
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message: Message,
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channel: Channel,
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db: Session,
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context_manager: ContextManager,
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ai_client: AIClient
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):
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"""Handle @grimlock mention - respond with AI"""
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try:
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# Extract query
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query = extract_mention_query(message.content)
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# Get channel history for context (last 10 messages)
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recent_messages = db.query(Message)\
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.filter(Message.channel_id == channel.id)\
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.filter(Message.id < message.id)\
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.order_by(Message.id.desc())\
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.limit(10)\
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.all()
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# Build conversation history
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conversation = []
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for msg in reversed(recent_messages):
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if msg.user:
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conversation.append({
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"role": "user",
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"content": f"{msg.user.name}: {msg.content}"
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})
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elif msg.is_ai_message:
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conversation.append({
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"role": "assistant",
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"content": msg.content
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})
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# Add current message
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if message.user:
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conversation.append({
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"role": "user",
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"content": f"{message.user.name}: {query}"
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})
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# Get context from context manager
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context = context_manager.get_context_for_query(query)
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system_prompt = context_manager.get_system_prompt()
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# Add channel context
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system_prompt += f"\n\nYou are responding in channel #{channel.name}."
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if context:
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system_prompt += f"\n\n# Company Context\n{context}"
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# Get AI response
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response = await ai_client.chat(
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messages=conversation,
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system_prompt=system_prompt
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)
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# Create AI message
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ai_message = Message(
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channel_id=channel.id,
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user_id=None,
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content=response,
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is_ai_message=True,
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reply_to_message_id=message.id
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)
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db.add(ai_message)
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db.commit()
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db.refresh(ai_message)
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return ai_message
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except Exception as e:
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# Create error message
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error_message = Message(
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channel_id=channel.id,
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user_id=None,
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content=f"Sorry, I encountered an error: {str(e)}",
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is_ai_message=True,
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reply_to_message_id=message.id
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)
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db.add(error_message)
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db.commit()
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return error_message
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@router.post("/{channel_id}/messages", response_model=MessageResponse)
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async def send_message(
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channel_id: int,
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message_data: MessageCreate,
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background_tasks: BackgroundTasks,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db),
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context_manager: ContextManager = Depends(main.get_context_manager),
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ai_client: AIClient = Depends(main.get_ai_client)
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):
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"""Send a message to a channel"""
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# Get channel
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channel = db.query(Channel).filter(Channel.id == channel_id).first()
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if not channel:
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail="Channel not found"
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)
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# Check if user is member
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if current_user not in channel.members:
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raise HTTPException(
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status_code=status.HTTP_403_FORBIDDEN,
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detail="Not a member of this channel"
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)
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# Create message
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message = Message(
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channel_id=channel_id,
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user_id=current_user.id,
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content=message_data.content,
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reply_to_message_id=message_data.reply_to
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)
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db.add(message)
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db.commit()
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db.refresh(message)
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# Check for @grimlock mention
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if detect_grimlock_mention(message_data.content):
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# Handle in background to not block response
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background_tasks.add_task(
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handle_grimlock_mention,
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message,
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channel,
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db,
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context_manager,
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ai_client
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)
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return {
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"id": message.id,
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"content": message.content,
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"is_ai_message": message.is_ai_message,
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"user": {
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"id": current_user.id,
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"name": current_user.name,
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"email": current_user.email,
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"role": current_user.role.value,
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"is_online": current_user.is_online
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} if message.user else None,
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"reply_to_message_id": message.reply_to_message_id,
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"created_at": message.created_at.isoformat(),
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"edited_at": message.edited_at.isoformat() if message.edited_at else None
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}
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@router.get("/{channel_id}/messages", response_model=List[MessageResponse])
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async def get_messages(
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channel_id: int,
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limit: int = 50,
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before: Optional[int] = None,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db)
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):
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"""Get messages from a channel"""
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# Get channel
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channel = db.query(Channel).filter(Channel.id == channel_id).first()
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if not channel:
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail="Channel not found"
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)
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# Check if user is member
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if current_user not in channel.members:
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raise HTTPException(
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status_code=status.HTTP_403_FORBIDDEN,
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detail="Not a member of this channel"
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)
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# Query messages
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query = db.query(Message).filter(Message.channel_id == channel_id)
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if before:
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query = query.filter(Message.id < before)
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messages = query.order_by(Message.id.desc()).limit(limit).all()
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messages.reverse() # Return in chronological order
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# Format response
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result = []
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for msg in messages:
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result.append({
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"id": msg.id,
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"content": msg.content,
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"is_ai_message": msg.is_ai_message,
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"user": {
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"id": msg.user.id,
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"name": msg.user.name,
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"email": msg.user.email,
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"role": msg.user.role.value,
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"is_online": msg.user.is_online
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} if msg.user else None,
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"reply_to_message_id": msg.reply_to_message_id,
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"created_at": msg.created_at.isoformat(),
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"edited_at": msg.edited_at.isoformat() if msg.edited_at else None
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})
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return result
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