api/utils.py

from datetime import datetime, timedelta
import json
import uuid
import asyncio
import random
from typing import Any, Dict, Optional
import os
from fastapi import HTTPException, Request
from dotenv import load_dotenv
import httpx
from api import validate
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

# Initialize environment variables and logger
load_dotenv()
logger = setup_logger(__name__)

# Set request limit per minute from environment variable
REQUEST_LIMIT_PER_MINUTE = int(os.getenv("REQUEST_LIMIT_PER_MINUTE", "10"))

# Dictionary to track IP addresses and request counts
request_counts = {}

# Function to get the IP address of the requester
def get_client_ip(request: Request) -> str:
    """Retrieve the IP address of the client making the request."""
    return request.client.host

# Function to limit requests per IP per minute
def check_rate_limit(ip: str):
    """Check if the IP has exceeded the request limit per minute."""
    current_time = datetime.now()
    if ip not in request_counts:
        # If the IP is new, initialize its counter and timestamp
        request_counts[ip] = {"count": 1, "timestamp": current_time}
        logger.info(f"New IP {ip} added to request counts.")
    else:
        ip_data = request_counts[ip]
        # Check if the timestamp is more than a minute old
        if current_time - ip_data["timestamp"] < timedelta(minutes=1):
            # If within the same minute, increment the count
            ip_data["count"] += 1
            logger.info(f"IP {ip} made request number {ip_data['count']}.")
            if ip_data["count"] > REQUEST_LIMIT_PER_MINUTE:
                logger.warning(f"Rate limit exceeded for IP {ip}.")
                raise HTTPException(
                    status_code=429,
                    detail={"error": {"message": "Rate limit exceeded. Please wait and try again.", "type": "rate_limit"}},
                )
        else:
            # If more than a minute has passed, reset the count and timestamp
            request_counts[ip] = {"count": 1, "timestamp": current_time}
            logger.info(f"Request count reset for IP {ip}.")

# 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

# Simplified function to get the base referer URL
def get_referer_url() -> str:
    """Return the base URL for the referer without model-specific logic."""
    return BASE_URL

# Process streaming response with headers from config.py
async def process_streaming_response(request: ChatRequest, request_obj: Request):
    referer_url = get_referer_url()
    logger.info(f"Processing streaming response - Model: {request.model} - URL: {referer_url}")

    # Get the IP address and check rate limit
    client_ip = get_client_ip(request_obj)
    check_rate_limit(client_ip)

    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(referer_url)
    validated_token = validate.getHid()  # Get the validated token from validate.py
    logger.info(f"Retrieved validated token for IP {client_ip}: {validated_token}")

    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)

    json_data = {
        "agentMode": agent_mode,
        "clickedAnswer2": False,
        "clickedAnswer3": False,
        "clickedForceWebSearch": False,
        "codeModelMode": True,
        "githubToken": 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": validated_token,
        "visitFromDelta": False,
    }

    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 line in response.aiter_lines():
                    timestamp = int(datetime.now().timestamp())
                    if line:
                        content = line
                        if content.startswith("$@$v=undefined-rv1$@$"):
                            content = content[21:]
                        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 (IP: {client_ip}): {e}")
            raise HTTPException(status_code=e.response.status_code, detail=str(e))
        except httpx.RequestError as e:
            logger.error(f"Error occurred during request (IP: {client_ip}): {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, request_obj: Request):
    referer_url = get_referer_url()
    logger.info(f"Processing non-streaming response - Model: {request.model} - URL: {referer_url}")

    # Get the IP address and check rate limit
    client_ip = get_client_ip(request_obj)
    check_rate_limit(client_ip)

    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(referer_url)
    headers_chat = get_headers_chat(referer_url, next_action=str(uuid.uuid4()), next_router_state_tree=json.dumps([""]))
    validated_token = validate.getHid()

    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)

    json_data = {
        "agentMode": agent_mode,
        "clickedAnswer2": False,
        "clickedAnswer3": False,
        "clickedForceWebSearch": False,
        "codeModelMode": True,
        "githubToken": 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": validated_token,
        "visitFromDelta": False,
    }

    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 (IP: {client_ip}): {e}")
            raise HTTPException(status_code=e.response.status_code, detail=str(e))
        except httpx.RequestError as e:
            logger.error(f"Error occurred during request (IP: {client_ip}): {e}")
            raise HTTPException(status_code=500, detail=str(e))
    if full_response.startswith("$@$v=undefined-rv1$@$"):
        full_response = full_response[21:]

    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,
    }