api/utils.py

import re
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_api_chat,
    get_headers_chat,
    BASE_URL,
    AGENT_MODE,
    TRENDING_AGENT_MODE,
    MODEL_PREFIXES,
    MODEL_REFERERS
)
from api.models import ChatRequest
from api.logger import setup_logger
from api.validate import getHid  # Import the asynchronous getHid function

logger = setup_logger(__name__)

BLOCKED_MESSAGE = "Generated by BLACKBOX.AI, try unlimited chat https://www.blackbox.ai"

# 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, ensuring base64 data and optional model prefix
def message_to_dict(message, model_prefix: Optional[str] = None):
    content = message.content if isinstance(message.content, str) else message.content[0]["text"]
    if model_prefix:
        content = f"{model_prefix} {content}"
    if isinstance(message.content, list) and len(message.content) == 2 and "image_url" in message.content[1]:
        image_base64 = message.content[1]["image_url"]["url"]
        return {
            "role": message.role,
            "content": content,
            "data": {
                "imageBase64": image_base64,
                "fileText": "",
                "title": "snapshot",
                "imagesData": [
                    {
                        "filePath": f"MultipleFiles/{uuid.uuid4().hex}.jpg",
                        "contents": image_base64
                    }
                ],
            },
        }
    return {"role": message.role, "content": content}

# Function to strip model prefix from content if present
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

# Function to remove content between '$~~~$' tags
def remove_message_between_special_tags(content: str) -> str:
    """Remove any content that starts with '$~~~$' and ends with '$~~~$', including the tags."""
    content = re.sub(r'\$~~~\$.*?\$~~~\$', '', content, flags=re.DOTALL)
    return content

# Improved function to remove search results but keep the links intact
def remove_search_results(content: str) -> str:
    """Remove search result sections, keeping the URLs intact."""
    # Regex pattern to match search result JSON structures (looking for "link" and capturing it)
    search_result_pattern = r'\$~~~\$.*?"link":\s*"(https?://[^\"]+).*?\$~~~\$'

    # Remove content inside `$~~~$` tags that contains search result data, keeping only the URLs
    cleaned_content = re.sub(search_result_pattern, '', content)
    
    # Remove unnecessary newlines or extra spaces left by the removal
    cleaned_content = cleaned_content.strip()
    
    return cleaned_content

# Process streaming response with headers from config.py
async def process_streaming_response(request: ChatRequest):
    # Generate a unique ID for this request
    request_id = f"chatcmpl-{uuid.uuid4()}"
    logger.info(f"Processing request with ID: {request_id} - Model: {request.model}")

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

    # Adjust headers_api_chat since referer_url is removed
    headers_api_chat = get_headers_api_chat(BASE_URL)

    if request.model == 'o1-preview':
        delay_seconds = random.randint(1, 60)
        logger.info(
            f"Introducing a delay of {delay_seconds} seconds for model 'o1-preview' "
            f"(Request ID: {request_id})"
        )
        await asyncio.sleep(delay_seconds)

    # Fetch the h-value for the 'validated' field
    h_value = await getHid()
    if not h_value:
        logger.error("Failed to retrieve h-value for validation.")
        raise HTTPException(
            status_code=500, detail="Validation failed due to missing h-value."
        )

    json_data = {
        "agentMode": agent_mode,
        "clickedAnswer2": False,
        "clickedAnswer3": False,
        "clickedForceWebSearch": False,
        "codeModelMode": True,
        "githubToken": None,
        "id": None,  # Using request_id instead of chat_id
        "isChromeExt": False,
        "isMicMode": False,
        "maxTokens": request.max_tokens,
        "messages": [
            message_to_dict(msg, model_prefix=model_prefix) 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": h_value,  # Dynamically set the validated field
        "visitFromDelta": False,
        "webSearchModePrompt": False,
        "imageGenerationMode": False,  # Added this line
    }

    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 chunk in response.aiter_text():
                    timestamp = int(datetime.now().timestamp())
                    if chunk:
                        content = chunk
                        if content.startswith("$@$v=undefined-rv1$@$"):
                            content = content[21:]
                        # Remove the blocked message if present
                        if BLOCKED_MESSAGE in content:
                            logger.info(
                                f"Blocked message detected in response for Request ID {request_id}."
                            )
                            content = content.replace(BLOCKED_MESSAGE, '').strip()
                            if not content:
                                continue  # Skip if content is empty after removal
                        
                        # Remove content between special tags
                        content = remove_message_between_special_tags(content)
                        
                        # Remove search results but keep the links intact
                        content = remove_search_results(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 for Request ID {request_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 Request ID {request_id}: {e}"
            )
            raise HTTPException(status_code=500, detail=str(e))

# Process non-streaming response with headers from config.py
async def process_non_streaming_response(request: ChatRequest):
    # Generate a unique ID for this request
    request_id = f"chatcmpl-{uuid.uuid4()}"
    logger.info(f"Processing request with ID: {request_id} - Model: {request.model}")

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

    headers_api_chat = get_headers_api_chat(BASE_URL)

    if request.model == 'o1-preview':
        delay_seconds = random.randint(1, 60)
        logger.info(
            f"Introducing a delay of {delay_seconds} seconds for model 'o1-preview' "
            f"(Request ID: {request_id})"
        )
        await asyncio.sleep(delay_seconds)

    # Fetch the h-value for the 'validated' field
    h_value = await getHid()
    if not h_value:
        logger.error("Failed to retrieve h-value for validation.")
        raise HTTPException(
            status_code=500, detail="Validation failed due to missing h-value."
        )

    json_data = {
        "agentMode": agent_mode,
        "clickedAnswer2": False,
        "clickedAnswer3": False,
        "clickedForceWebSearch": False,
        "codeModelMode": True,
        "githubToken": None,
        "id": None,  # Using request_id instead of chat_id
        "isChromeExt": False,
        "isMicMode": False,
        "maxTokens": request.max_tokens,
        "messages": [
            message_to_dict(msg, model_prefix=model_prefix) 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": h_value,  # Dynamically set the validated field
        "visitFromDelta": False,
        "webSearchModePrompt": False,
        "imageGenerationMode": False,  # Added this line
    }

    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
        except httpx.HTTPStatusError as e:
            logger.error(f"HTTP error occurred for Request ID {request_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 Request ID {request_id}: {e}"
            )
            raise HTTPException(status_code=500, detail=str(e))

    if full_response.startswith("$@$v=undefined-rv1$@$"):
        full_response = full_response[21:]

    # Remove the blocked message if present
    if BLOCKED_MESSAGE in full_response:
        logger.info(
            f"Blocked message detected in response for Request ID {request_id}."
        )
        full_response = full_response.replace(BLOCKED_MESSAGE, '').strip()
        if not full_response:
            raise HTTPException(
                status_code=500, detail="Blocked message detected in response."
            )

    # Remove content between special tags
    full_response = remove_message_between_special_tags(full_response)

    # Remove search results but keep the links intact
    full_response = remove_search_results(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,
    }