from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Dict, Any
import re
import random
import string
from aiohttp import ClientSession

# Mocking the ImageResponse and to_data_uri functions
class ImageResponse:
    def __init__(self, url: str, alt: str):
        self.url = url
        self.alt = alt

def to_data_uri(image: Any) -> str:
    # Placeholder for actual image encoding
    return "data:image/png;base64,..."  # Replace with actual base64 data

class AsyncGeneratorProvider:
    pass

class ProviderModelMixin:
    pass

class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
    url = "https://www.blackbox.ai"
    api_endpoint = "https://www.blackbox.ai/api/chat"
    default_model = 'blackbox'
    models = ['blackbox', 'gemini-1.5-flash', "llama-3.1-8b"]

    @classmethod
    async def create_async_generator(cls, model: str, messages: List[Dict[str, str]]) -> Any:
        # Mock response for demonstration
        return {"content": "This is a mock response from the model."}

app = FastAPI()

class Message(BaseModel):
    role: str
    content: str

class ChatRequest(BaseModel):
    model: str
    messages: List[Message]

@app.post("/v1/chat/completions")
async def chat_completions(request: ChatRequest):
    messages = [{"role": msg.role, "content": msg.content} for msg in request.messages]

    response = await Blackbox.create_async_generator(
        model=request.model,
        messages=messages
    )

    return {
        "id": "chatcmpl-1234",  # Example ID, generate as needed
        "object": "chat.completion",
        "created": 1690000000,  # Replace with actual timestamp
        "model": request.model,
        "choices": [
            {
                "message": {
                    "role": "assistant",
                    "content": response['content']
                },
                "finish_reason": "stop",
                "index": 0
            }
        ]
    }