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 (
    MODEL_MAPPING,
    get_headers,
    BASE_URL,
    AGENT_MODE,
    TRENDING_AGENT_MODE
)
from api.models import ChatRequest
from api.logger import setup_logger

logger = setup_logger(__name__)

# Helper function to create a random alphanumeric chat ID
def generate_chat_id(length: int = 7) -> str:
    characters = string.ascii_letters + string.digits
    return ''.join(random.choices(characters, k=length))

# Helper function to create chat completion data
def create_chat_completion_data(
    content: str, model: str, timestamp: int, finish_reason: Optional[str] = None
) -> Dict[str, Any]:
    return {
        "id": f"chatcmpl-{uuid.uuid4()}",
        "object": "chat.completion.chunk",
        "created": timestamp,
        "model": model,
        "choices": [
            {
                "index": 0,
                "delta": {"content": content, "role": "assistant"},
                "finish_reason": finish_reason,
            }
        ],
        "usage": None,
    }

# Function to convert message to dictionary format
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]:
        return {
            "role": message.role,
            "content": content,
            "data": {
                "imageBase64": message.content[1]["image_url"]["url"],
                "fileText": "",
                "title": "snapshot",
            },
        }
    return {"role": message.role, "content": content}

# Process streaming response
async def process_streaming_response(request: ChatRequest):
    chat_id = generate_chat_id()
    agent_mode = AGENT_MODE.get(request.model, {})
    trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})

    headers = get_headers()

    json_data = {
        "agentMode": agent_mode,
        "clickedAnswer2": False,
        "clickedAnswer3": False,
        "clickedForceWebSearch": False,
        "codeModelMode": True,
        "githubToken": None,
        "id": chat_id,
        "isChromeExt": False,
        "isMicMode": False,
        "maxTokens": request.max_tokens,
        "messages": [message_to_dict(msg) for msg in request.messages],
        "mobileClient": False,
        "playgroundTemperature": request.temperature,
        "playgroundTopP": request.top_p,
        "previewToken": None,
        "trendingAgentMode": trending_agent_mode,
        "userId": None,
        "userSelectedModel": MODEL_MAPPING.get(request.model, request.model),
        "userSystemPrompt": None,
        "validated": "69783381-2ce4-4dbd-ac78-35e9063feabc",
        "visitFromDelta": False,
    }

    async with httpx.AsyncClient() as client:
        try:
            async with client.stream("POST", f"{BASE_URL}/api/chat", headers=headers, 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:
                        yield f"data: {json.dumps(create_chat_completion_data(line, 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
async def process_non_streaming_response(request: ChatRequest):
    chat_id = generate_chat_id()
    agent_mode = AGENT_MODE.get(request.model, {})
    trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})

    headers = get_headers()

    json_data = {
        "agentMode": agent_mode,
        "clickedAnswer2": False,
        "clickedAnswer3": False,
        "clickedForceWebSearch": False,
        "codeModelMode": True,
        "githubToken": None,
        "id": chat_id,
        "isChromeExt": False,
        "isMicMode": False,
        "maxTokens": request.max_tokens,
        "messages": [message_to_dict(msg) for msg in request.messages],
        "mobileClient": False,
        "playgroundTemperature": request.temperature,
        "playgroundTopP": request.top_p,
        "previewToken": None,
        "trendingAgentMode": trending_agent_mode,
        "userId": None,
        "userSelectedModel": MODEL_MAPPING.get(request.model, request.model),
        "userSystemPrompt": None,
        "validated": "69783381-2ce4-4dbd-ac78-35e9063feabc",
        "visitFromDelta": False,
    }

    full_response = ""
    async with httpx.AsyncClient() as client:
        try:
            async with client.stream("POST", f"{BASE_URL}/api/chat", headers=headers, json=json_data) as response:
                response.raise_for_status()
                async for chunk in response.aiter_text():
                    full_response += chunk
        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,
    }