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from datetime import datetime
import json
import uuid
from typing import Any, Dict, Optional

import httpx
from fastapi import Depends, HTTPException
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer

from api import validate
from api.config import (
    APP_SECRET,
    BASE_URL,
    MODEL_MAPPING,
    AGENT_MODE,
    TRENDING_AGENT_MODE,
    MODEL_PREFIXES,
    headers,
)
from api.models import ChatRequest
from api.logger import setup_logger

logger = setup_logger(__name__)
security = HTTPBearer()

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,
    }

def verify_app_secret(credentials: HTTPAuthorizationCredentials = Depends(security)):
    if credentials.credentials != APP_SECRET:
        raise HTTPException(status_code=403, detail="Invalid APP_SECRET")
    return credentials.credentials

def message_to_dict(message, model_prefix: Optional[str] = None):
    content = message.content
    if isinstance(content, list) and len(content) == 2 and "image_url" in content[1]:
        # Handle messages with image data
        content_text = content[0]["text"]
        if model_prefix:
            content_text = f"{model_prefix} {content_text}"
        return {
            "role": message.role,
            "content": content_text,
            "data": {
                "imageBase64": content[1]["image_url"]["url"],
                "fileText": "",
                "title": "snapshot",
            },
        }
    else:
        if model_prefix:
            content = f"{model_prefix} {content}"
        return {"role": message.role, "content": content}

def strip_model_prefix(content: str, model_prefix: Optional[str] = None) -> str:
    """Remove the model prefix from the response content if present."""
    if model_prefix and content.startswith(model_prefix):
        logger.debug(f"Stripping prefix '{model_prefix}' from content.")
        return content[len(model_prefix):].strip()
    return content

async def process_streaming_response(request: ChatRequest):
    agent_mode = AGENT_MODE.get(request.model, {})
    trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
    model_prefix = MODEL_PREFIXES.get(request.model, "")

    json_data = {
        "messages": [message_to_dict(msg, model_prefix=model_prefix) for msg in request.messages],
        "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": MODEL_MAPPING.get(request.model, request.model),
        "validated": validate.getHid()
    }

    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:
                        content = line + "\n"
                        if "https://www.blackbox.ai" in content:
                            validate.getHid(True)
                            content = "hid已刷新,重新对话即可\n"
                            yield f"data: {json.dumps(create_chat_completion_data(content, request.model, timestamp))}\n\n"
                            break
                        if content.startswith("$@$v=undefined-rv1$@$"):
                            content = content[21:]
                        # Strip model prefix from content
                        cleaned_content = strip_model_prefix(content, model_prefix)
                        yield f"data: {json.dumps(create_chat_completion_data(cleaned_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: {e}")
            raise HTTPException(status_code=e.response.status_code, detail=str(e))
        except httpx.RequestError as e:
            logger.error(f"Error occurred during request: {e}")
            raise HTTPException(status_code=500, detail=str(e))

async def process_non_streaming_response(request: ChatRequest):
    agent_mode = AGENT_MODE.get(request.model, {})
    trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
    model_prefix = MODEL_PREFIXES.get(request.model, "")

    json_data = {
        "messages": [message_to_dict(msg, model_prefix=model_prefix) for msg in request.messages],
        "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": MODEL_MAPPING.get(request.model, request.model),
        "validated": validate.getHid()
    }
    full_response = ""
    async with httpx.AsyncClient() as client:
        try:
            async with client.stream(
                method="POST", url=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: {e}")
            raise HTTPException(status_code=e.response.status_code, detail=str(e))
        except httpx.RequestError as e:
            logger.error(f"Error occurred during request: {e}")
            raise HTTPException(status_code=500, detail=str(e))

    if "https://www.blackbox.ai" in full_response:
        validate.getHid(True)
        full_response = "hid已刷新,重新对话即可"
    if full_response.startswith("$@$v=undefined-rv1$@$"):
        full_response = full_response[21:]
    # Strip model prefix from full_response
    cleaned_full_response = strip_model_prefix(full_response, model_prefix)
    return {
        "id": f"chatcmpl-{uuid.uuid4()}",
        "object": "chat.completion",
        "created": int(datetime.now().timestamp()),
        "model": request.model,
        "choices": [
            {
                "index": 0,
                "message": {"role": "assistant", "content": cleaned_full_response},
                "finish_reason": "stop",
            }
        ],
        "usage": None,
    }