from fastapi import APIRouter, Depends, HTTPException
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
from typing import Annotated, List
from mistralai import Mistral
from auth import verify_token
import os
from schemas.common import APIResponse, ChatMessage, ChatMemoryRequest # Import common schemas
import asyncio
import time

router = APIRouter(prefix="/mistral", tags=["mistral"])

mistral_key = os.environ.get('MISTRAL_KEY', '')
if not mistral_key:
    raise RuntimeError("MISTRAL_KEY environment variable not set.")
mistral_client = Mistral(api_key=mistral_key)

# Rate limiting variables
last_mistral_call_time = 0
mistral_call_lock = asyncio.Lock()
MIN_INTERVAL = 1.0  # Minimum 1 second between calls

class LLMRequest(BaseModel):
    model: str
    prompt: str

@router.post("/chat-stream")
async def mistral_chat_stream(request: LLMRequest, token: Annotated[str, Depends(verify_token)]):
    async def generate():
        global last_mistral_call_time
        async with mistral_call_lock:
            current_time = time.monotonic()
            elapsed = current_time - last_mistral_call_time
            if elapsed < MIN_INTERVAL:
                await asyncio.sleep(MIN_INTERVAL - elapsed)
            last_mistral_call_time = time.monotonic()

            try:
                response = await mistral_client.chat.stream_async(
                    model=request.model,
                    messages=[
                        {
                            "role": "user",
                            "content": request.prompt,
                        }
                    ],
                )
                async for chunk in response:
                    # Ensure chunk.data exists and has the expected structure
                    if hasattr(chunk, 'choices') and chunk.choices:
                         if chunk.choices[0].delta.content is not None:
                            yield chunk.choices[0].delta.content
                    # Handle potential variations if needed, e.g., logging unexpected structures
                    # else:
                    #     print(f"Unexpected chunk structure: {chunk}")
            except Exception as e:
                # Log the error and yield an error message if streaming fails
                print(f"Error during Mistral stream: {e}")
                yield f"Error: {str(e)}"

    return StreamingResponse(generate(), media_type="text/plain")

@router.post("/chat", response_model=APIResponse)
async def mistral_chat(request: LLMRequest, token: Annotated[str, Depends(verify_token)]):
    global last_mistral_call_time
    async with mistral_call_lock:
        current_time = time.monotonic()
        elapsed = current_time - last_mistral_call_time
        if elapsed < MIN_INTERVAL:
            await asyncio.sleep(MIN_INTERVAL - elapsed)
        last_mistral_call_time = time.monotonic()

        try:
            response = await mistral_client.chat.complete_async(
                model=request.model,
                messages=[
                    {
                        "role": "user",
                        "content": request.prompt,
                    }
                ],
            )
            if response.choices and response.choices[0].message:
                content = response.choices[0].message.content
                return APIResponse(success=True, data={"response": content})
            else:
                return APIResponse(success=False, error="No response content received from Mistral.", data=response.dict())
        except Exception as e:
            print(f"Error calling Mistral chat completion: {e}")
            raise HTTPException(status_code=500, detail=f"Mistral API error: {str(e)}")

@router.post("/chat-with-memory", response_model=APIResponse)
async def mistral_chat_with_memory(request: ChatMemoryRequest, token: Annotated[str, Depends(verify_token)]):
    global last_mistral_call_time
    async with mistral_call_lock:
        current_time = time.monotonic()
        elapsed = current_time - last_mistral_call_time
        if elapsed < MIN_INTERVAL:
            await asyncio.sleep(MIN_INTERVAL - elapsed)
        last_mistral_call_time = time.monotonic()

        try:
            # Convert Pydantic models to dicts for the Mistral API call
            messages_dict = [msg.dict() for msg in request.messages]

            response = await mistral_client.chat.complete_async(
                model=request.model,
                messages=messages_dict,
            )
            if response.choices and response.choices[0].message:
                content = response.choices[0].message.content
                return APIResponse(success=True, data={"response": content})
            else:
                return APIResponse(success=False, error="No response content received from Mistral.", data=response.dict())
        except Exception as e:
            print(f"Error calling Mistral chat completion with memory: {e}")
            raise HTTPException(status_code=500, detail=f"Mistral API error: {str(e)}")