from datetime import datetime
import json
import uuid
import asyncio
import random
import string
from typing import Any, Dict, Optional

import httpx
from fastapi import HTTPException
from api.config import (
    AGENT_MODE,
    TRENDING_AGENT_MODE,
    get_headers_api_chat,
    get_headers_chat,
    BASE_URL,
)
from api.models import ChatRequest
from api.logger import setup_logger

logger = setup_logger(__name__)

# Updated message ID generator
def generate_chat_id(length: int = 7) -> str:
    characters = string.ascii_letters + string.digits
    return ''.join(random.choice(characters) for _ in range(length))

# Updated message_to_dict function (removed model prefixes)
def message_to_dict(message):
    content = message.content if isinstance(message.content, str) else message.content[0]["text"]
    if isinstance(message.content, list) and len(message.content) == 2 and "image_url" in message.content[1]:
        # Ensure base64 images are always included for all models
        return {
            "role": message.role,
            "content": content,
            "data": {
                "imageBase64": message.content[1]["image_url"]["url"],
                "fileText": "",
                "title": "snapshot",
            },
        }
    return {"role": message.role, "content": content}

# Removed strip_model_prefix function as per your requirement

# Function to get the correct referer URL
def get_referer_url(chat_id: str, model: str) -> str:
    """Generate the referer URL based on specific models listed in MODEL_REFERERS."""
    if model in MODEL_REFERERS:
        return f"{BASE_URL}{MODEL_REFERERS[model]}"
    return BASE_URL

# Process streaming response with updated headers and data
async def process_streaming_response(request: ChatRequest):
    chat_id = generate_chat_id()
    referer_url = get_referer_url(chat_id, request.model)
    logger.info(f"Generated Chat ID: {chat_id} - Model: {request.model} - URL: {referer_url}")

    agent_mode = AGENT_MODE.get(request.model, {})
    trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})

    headers_api_chat = get_headers_api_chat(referer_url)

    json_data = {
        "messages": [message_to_dict(msg) for msg in request.messages],
        "id": chat_id,
        "previewToken": None,
        "userId": None,
        "codeModelMode": True,
        "agentMode": agent_mode,
        "trendingAgentMode": trending_agent_mode,
        "isMicMode": False,
        "userSystemPrompt": None,
        "maxTokens": request.max_tokens,
        "playgroundTopP": request.top_p,
        "playgroundTemperature": request.temperature,
        "isChromeExt": False,
        "githubToken": None,
        "clickedAnswer2": False,
        "clickedAnswer3": False,
        "clickedForceWebSearch": False,
        "visitFromDelta": False,
        "mobileClient": False,
        "userSelectedModel": request.model if request.model in ["gpt-4o", "gemini-pro", "claude-sonnet-3.5", "blackboxai-pro"] else None,
        "webSearchMode": False,  # Adjust if needed
        "validated": "69783381-2ce4-4dbd-ac78-35e9063feabc",
    }

    async with httpx.AsyncClient() as client:
        try:
            async with client.stream(
                "POST",
                f"{BASE_URL}/api/chat",
                headers=headers_api_chat,
                json=json_data,
                timeout=100,
            ) as response:
                response.raise_for_status()
                async for line in response.aiter_lines():
                    timestamp = int(datetime.now().timestamp())
                    if line:
                        content = line.strip()
                        # Handle special cases if necessary
                        yield f"data: {json.dumps(create_chat_completion_data(content, request.model, timestamp))}\n\n"

                yield f"data: {json.dumps(create_chat_completion_data('', request.model, timestamp, 'stop'))}\n\n"
                yield "data: [DONE]\n\n"
        except httpx.HTTPStatusError as e:
            logger.error(f"HTTP error occurred for Chat ID {chat_id}: {e}")
            raise HTTPException(status_code=e.response.status_code, detail=str(e))
        except httpx.RequestError as e:
            logger.error(f"Error occurred during request for Chat ID {chat_id}: {e}")
            raise HTTPException(status_code=500, detail=str(e))

# Process non-streaming response with updated headers and data
async def process_non_streaming_response(request: ChatRequest):
    chat_id = generate_chat_id()
    referer_url = get_referer_url(chat_id, request.model)
    logger.info(f"Generated Chat ID: {chat_id} - Model: {request.model} - URL: {referer_url}")

    agent_mode = AGENT_MODE.get(request.model, {})
    trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})

    headers_api_chat = get_headers_api_chat(referer_url)
    headers_chat = get_headers_chat(referer_url, next_action=str(uuid.uuid4()), next_router_state_tree=json.dumps([""]))

    json_data = {
        "messages": [message_to_dict(msg) for msg in request.messages],
        "id": chat_id,
        "previewToken": None,
        "userId": None,
        "codeModelMode": True,
        "agentMode": agent_mode,
        "trendingAgentMode": trending_agent_mode,
        "isMicMode": False,
        "userSystemPrompt": None,
        "maxTokens": request.max_tokens,
        "playgroundTopP": request.top_p,
        "playgroundTemperature": request.temperature,
        "isChromeExt": False,
        "githubToken": None,
        "clickedAnswer2": False,
        "clickedAnswer3": False,
        "clickedForceWebSearch": False,
        "visitFromDelta": False,
        "mobileClient": False,
        "userSelectedModel": request.model if request.model in ["gpt-4o", "gemini-pro", "claude-sonnet-3.5", "blackboxai-pro"] else None,
        "webSearchMode": False,  # Adjust if needed
        "validated": "69783381-2ce4-4dbd-ac78-35e9063feabc",
    }

    full_response = ""
    async with httpx.AsyncClient() as client:
        try:
            async with client.stream(
                method="POST", url=f"{BASE_URL}/api/chat", headers=headers_api_chat, json=json_data
            ) as response:
                response.raise_for_status()
                async for chunk in response.aiter_text():
                    full_response += chunk.strip()
        except httpx.HTTPStatusError as e:
            logger.error(f"HTTP error occurred for Chat ID {chat_id}: {e}")
            raise HTTPException(status_code=e.response.status_code, detail=str(e))
        except httpx.RequestError as e:
            logger.error(f"Error occurred during request for Chat ID {chat_id}: {e}")
            raise HTTPException(status_code=500, detail=str(e))

    return {
        "id": f"chatcmpl-{uuid.uuid4()}",
        "object": "chat.completion",
        "created": int(datetime.now().timestamp()),
        "model": request.model,
        "choices": [
            {
                "index": 0,
                "message": {"role": "assistant", "content": full_response},
                "finish_reason": "stop",
            }
        ],
        "usage": None,
    }