254 lines
8.5 KiB
Python
254 lines
8.5 KiB
Python
from pydantic import BaseModel, Field
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from fastapi import APIRouter, Depends, HTTPException, status
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from fastapi.requests import Request
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from typing import Any, Dict, List, Optional
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from datetime import datetime
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import logging
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import uuid
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from modules.datamodels.datamodelUam import User
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from modules.security.auth import getCurrentUser, limiter
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logger = logging.getLogger(__name__)
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router = APIRouter(
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prefix="/api/chatbot",
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tags=["Chatbot"],
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responses={404: {"description": "Not found"}},
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)
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# --- Pydantic models for requests and responses ---
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class ChatMessageRequest(BaseModel):
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"""Request model for posting a chat message"""
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thread_id: Optional[str] = Field(
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None, description="Thread ID (creates new thread if not provided)"
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)
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message: str = Field(..., description="User message content")
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class MessageItem(BaseModel):
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"""Individual message in a thread"""
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role: str = Field(..., description="Message role (user or assistant)")
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content: str = Field(..., description="Message content")
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timestamp: float = Field(..., description="Message timestamp (Unix timestamp)")
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class ChatMessageResponse(BaseModel):
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"""Response model for posting a chat message"""
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thread_id: str = Field(..., description="Thread ID")
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messages: List[MessageItem] = Field(..., description="All messages in thread")
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class ThreadSummary(BaseModel):
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"""Summary of a chat thread for list view"""
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thread_id: str = Field(..., description="Thread ID")
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created_at: float = Field(..., description="Thread creation timestamp")
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last_message: str = Field(..., description="Last message content")
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message_count: int = Field(..., description="Total number of messages")
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class ThreadListResponse(BaseModel):
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"""Response model for listing all threads"""
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threads: List[ThreadSummary] = Field(..., description="List of thread summaries")
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class ThreadDetail(BaseModel):
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"""Detailed view of a single thread"""
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thread_id: str = Field(..., description="Thread ID")
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created_at: float = Field(..., description="Thread creation timestamp")
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messages: List[MessageItem] = Field(
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..., description="All messages in chronological order"
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)
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class DeleteResponse(BaseModel):
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"""Response model for delete operations"""
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message: str = Field(..., description="Confirmation message")
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thread_id: str = Field(..., description="Deleted thread ID")
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# --- Actual endpoints for chatbot ---
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@router.post("/message", response_model=ChatMessageResponse)
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@limiter.limit("30/minute")
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async def post_chat_message(
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*,
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request: Request,
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message_request: ChatMessageRequest,
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currentUser: User = Depends(getCurrentUser),
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) -> ChatMessageResponse:
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"""
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Post a message to a chat thread and get assistant response.
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Creates a new thread if thread_id is not provided.
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This endpoint will later be connected to LangGraph's checkpointer.
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"""
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try:
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# Generate or use existing thread_id
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thread_id = message_request.thread_id or f"thread_{uuid.uuid4()}"
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# Get current timestamp
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current_time = datetime.now().timestamp()
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# Create dummy message history
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# In production, this will fetch from LangGraph's checkpointer
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messages = [
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MessageItem(
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role="user", content=message_request.message, timestamp=current_time
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),
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MessageItem(
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role="assistant",
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content=f"Echo: {message_request.message} (This is a dummy response. LangGraph integration pending.)",
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timestamp=current_time + 0.5,
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),
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]
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logger.info(f"User {currentUser.id} posted message to thread {thread_id}")
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return ChatMessageResponse(thread_id=thread_id, messages=messages)
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except Exception as e:
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logger.error(f"Error posting chat message: {str(e)}")
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"Failed to post message: {str(e)}",
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)
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@router.get("/threads", response_model=ThreadListResponse)
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@limiter.limit("30/minute")
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async def get_all_threads(
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*, request: Request, currentUser: User = Depends(getCurrentUser)
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) -> ThreadListResponse:
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"""
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Get all chat threads for the current user.
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This endpoint will later fetch from LangGraph's PostgreSQL checkpointer.
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"""
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try:
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# Return dummy thread data
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# In production, this will query LangGraph's checkpointer database
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dummy_threads = [
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ThreadSummary(
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thread_id="thread_001",
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created_at=datetime.now().timestamp() - 86400, # 1 day ago
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last_message="Hello, how can I help you?",
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message_count=4,
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),
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ThreadSummary(
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thread_id="thread_002",
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created_at=datetime.now().timestamp() - 3600, # 1 hour ago
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last_message="Thank you for your help!",
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message_count=8,
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),
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ThreadSummary(
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thread_id="thread_003",
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created_at=datetime.now().timestamp() - 300, # 5 minutes ago
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last_message="Can you explain this concept?",
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message_count=2,
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),
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]
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logger.info(f"User {currentUser.id} retrieved {len(dummy_threads)} threads")
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return ThreadListResponse(threads=dummy_threads)
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except Exception as e:
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logger.error(f"Error retrieving threads: {str(e)}")
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"Failed to retrieve threads: {str(e)}",
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)
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@router.get("/threads/{thread_id}", response_model=ThreadDetail)
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@limiter.limit("30/minute")
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async def get_thread_by_id(
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*, request: Request, thread_id: str, currentUser: User = Depends(getCurrentUser)
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) -> ThreadDetail:
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"""
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Get a specific chat thread with all its messages.
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This endpoint will later fetch from LangGraph's PostgreSQL checkpointer.
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"""
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try:
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# Return dummy thread detail
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# In production, this will query LangGraph's checkpointer for the specific thread
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current_time = datetime.now().timestamp()
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dummy_messages = [
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MessageItem(
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role="user",
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content="Hello! I need help with Python.",
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timestamp=current_time - 120,
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),
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MessageItem(
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role="assistant",
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content="Hello! I'd be happy to help you with Python. What would you like to know?",
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timestamp=current_time - 119,
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),
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MessageItem(
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role="user",
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content="How do I use list comprehensions?",
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timestamp=current_time - 60,
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),
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MessageItem(
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role="assistant",
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content="List comprehensions are a concise way to create lists. Here's an example: [x**2 for x in range(10)]",
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timestamp=current_time - 59,
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),
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]
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logger.info(f"User {currentUser.id} retrieved thread {thread_id}")
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return ThreadDetail(
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thread_id=thread_id, created_at=current_time - 120, messages=dummy_messages
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)
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except Exception as e:
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logger.error(f"Error retrieving thread {thread_id}: {str(e)}")
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"Failed to retrieve thread: {str(e)}",
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)
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@router.delete("/threads/{thread_id}", response_model=DeleteResponse)
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@limiter.limit("10/minute")
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async def delete_thread(
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*, request: Request, thread_id: str, currentUser: User = Depends(getCurrentUser)
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) -> DeleteResponse:
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"""
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Delete a chat thread and all its associated data.
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This endpoint will later delete from LangGraph's PostgreSQL checkpointer.
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"""
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try:
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# In production, this will:
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# 1. Verify the thread belongs to the current user
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# 2. Delete the thread from LangGraph's checkpointer
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# 3. Clean up any associated data
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logger.info(f"User {currentUser.id} deleted thread {thread_id}")
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return DeleteResponse(
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message=f"Thread {thread_id} successfully deleted (dummy response)",
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thread_id=thread_id,
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)
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except Exception as e:
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logger.error(f"Error deleting thread {thread_id}: {str(e)}")
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"Failed to delete thread: {str(e)}",
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)
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