api/utils.py

from datetime import datetime
from http.client import HTTPException
import json
from typing import Any, Dict, Optional
import uuid

import httpx
from api import validate
from api.config import (
    MODEL_MAPPING,
    headers,
    AGENT_MODE,
    TRENDING_AGENT_MODE,
    MODEL_PREFIXES,
    APP_SECRET,
    BASE_URL,
)
from fastapi import Depends, HTTPException
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer

from api.models import ChatRequest
from api.logger import setup_logger

logger = setup_logger(__name__)

# Initialize HTTPBearer for security
security = HTTPBearer()

def create_chat_completion_data(
    content: str, model: str, timestamp: int, finish_reason: Optional[str] = None
) -> Dict[str, Any]:
    prefix = MODEL_PREFIXES.get(model, "")
    full_content = f"{prefix} {content}" if prefix else content
    return {
        "id": f"chatcmpl-{uuid.uuid4()}",
        "object": "chat.completion.chunk",
        "created": timestamp,
        "model": f"{prefix}{model}" if prefix else model,
        "choices": [
            {
                "index": 0,
                "delta": {"content": full_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):
    prefix = MODEL_PREFIXES.get(message.model, "") if hasattr(message, 'model') else ""
    
    if isinstance(message.content, str):
        content = f"{prefix} {message.content}" if prefix else message.content
    elif isinstance(message.content, list) and len(message.content) == 2:
        content = f"{prefix} {message.content[0]['text']}" if prefix else message.content[0]['text']
    else:
        content = message.content

    message_dict = {"role": message.role, "content": content}

    if isinstance(message.content, list) and len(message.content) == 2:
        message_dict["data"] = {
            "imageBase64": message.content[1]["image_url"]["url"],
            "fileText": "",
            "title": "snapshot",
        }

    return message_dict

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, "")

    # Log reduced information with prefix
    logger.info(
        f"Streaming request for model: '{model_prefix}{request.model}', "
        f"agent mode: {agent_mode}, trending agent mode: {trending_agent_mode}"
    )

    json_data = {
        "messages": [message_to_dict(msg) 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),
        "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$@$"):
                            yield f"data: {json.dumps(create_chat_completion_data(content[21:], request.model, timestamp))}\n\n"
                        else:
                            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: {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, "")

    # Log reduced information with prefix
    logger.info(
        f"Non-streaming request for model: '{model_prefix}{request.model}', "
        f"agent mode: {agent_mode}, trending agent mode: {trending_agent_mode}"
    )

    json_data = {
        "messages": [message_to_dict(msg) 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),
        "validated": validate.getHid(),
    }

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

    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:]

    # Prepend model prefix to the final response content
    if model_prefix:
        full_response = f"{model_prefix} {full_response}"

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