api/utils.py

from datetime import datetime
import json
import uuid
import asyncio
import random
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,
)
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__)

# Define the blocked message
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]:
        # 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}

# 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

# Helper function to build JSON data for the request
def build_json_data(request: ChatRequest, h_value: str, model_prefix: Optional[str]):
    agent_mode = AGENT_MODE.get(request.model, {})
    trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
    return {
        "agentMode": agent_mode,
        "clickedAnswer2": False,
        "clickedAnswer3": False,
        "clickedForceWebSearch": False,
        "codeModelMode": True,
        "githubToken": None,
        "id": None,
        "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": "00f37b34-a166-4efb-bce5-1312d87f2f94",
        "visitFromDelta": False,
    }

# Process streaming response with headers from config.py
async def process_streaming_response(request: ChatRequest):
    logger.info(f"Processing request - Model: {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'")
        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 = build_json_data(request, h_value, model_prefix)

    # Initialize rolling buffer to handle BLOCKED_MESSAGE split across chunks
    rolling_buffer = ""

    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():
                    if chunk:
                        # Combine rolling buffer with current chunk
                        combined_chunk = rolling_buffer + chunk

                        # Remove any occurrence of BLOCKED_MESSAGE in combined_chunk
                        if BLOCKED_MESSAGE in combined_chunk:
                            logger.info("Blocked message detected in response.")
                            combined_chunk = combined_chunk.replace(BLOCKED_MESSAGE, '')

                        # Remove model prefix if present
                        cleaned_content = strip_model_prefix(combined_chunk, model_prefix)

                        # Yield the cleaned content
                        timestamp = int(datetime.now().timestamp())
                        yield f"data: {json.dumps(create_chat_completion_data(cleaned_content, request.model, timestamp))}\n\n"

                        # Update rolling buffer with the end of the combined_chunk
                        # Keep only the last len(BLOCKED_MESSAGE) - 1 characters
                        rolling_buffer = combined_chunk[-(len(BLOCKED_MESSAGE) - 1):]
                    else:
                        # If chunk is empty, reset rolling buffer
                        rolling_buffer = ""

                # After streaming is done, check if any remaining content is in the rolling buffer
                if rolling_buffer:
                    # Remove any occurrence of BLOCKED_MESSAGE in rolling buffer
                    if BLOCKED_MESSAGE in rolling_buffer:
                        logger.info("Blocked message detected in remaining buffer.")
                        rolling_buffer = rolling_buffer.replace(BLOCKED_MESSAGE, '')

                    cleaned_content = strip_model_prefix(rolling_buffer, model_prefix)
                    timestamp = int(datetime.now().timestamp())
                    yield f"data: {json.dumps(create_chat_completion_data(cleaned_content, request.model, timestamp))}\n\n"

                # Signal the end of the streaming
                timestamp = int(datetime.now().timestamp())
                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))

# Process non-streaming response with headers from config.py
async def process_non_streaming_response(request: ChatRequest):
    logger.info(f"Processing request - Model: {request.model}")

    model_prefix = MODEL_PREFIXES.get(request.model, "")

    # Adjust headers_api_chat and headers_chat since referer_url is removed
    headers_api_chat = get_headers_api_chat(BASE_URL)
    headers_chat = get_headers_chat(
        BASE_URL,
        next_action=str(uuid.uuid4()),
        next_router_state_tree=json.dumps([""])
    )

    if request.model == 'o1-preview':
        delay_seconds = random.randint(20, 60)
        logger.info(f"Introducing a delay of {delay_seconds} seconds for model 'o1-preview'")
        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 = build_json_data(request, h_value, model_prefix)

    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: {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 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("Blocked message detected in response.")
        full_response = full_response.replace(BLOCKED_MESSAGE, '').strip()
        if not full_response:
            raise HTTPException(status_code=500, detail="Blocked message detected in 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,
    }