test24 / api /utils.py
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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,
BASE_URL,
AGENT_MODE,
TRENDING_AGENT_MODE,
)
from api.models import ChatRequest
from api.logger import setup_logger
logger = setup_logger(__name__)
# Helper function to create a random alphanumeric chat ID
def generate_chat_id(length: int = 7) -> str:
characters = string.ascii_letters + string.digits
return ''.join(random.choices(characters, k=length))
# 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
def message_to_dict(message):
if isinstance(message.content, str):
content = message.content
elif isinstance(message.content, list) and len(message.content) > 0:
content = message.content[0].get("text", "")
else:
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) -> str:
"""Function retained but no model_prefix is used."""
# Since model_prefix is removed, this function can simply return content
return content
# Function to get the correct referer URL for logging
def get_referer_url(chat_id: str, model: str) -> str:
"""Generate the referer URL based on specific models listed in MODEL_REFERERS."""
# MODEL_REFERERS has been removed; referer_url defaults to BASE_URL
return BASE_URL
# Process streaming response without model prefixes and referers
async def process_streaming_response(request: ChatRequest):
chat_id = generate_chat_id()
referer_url = get_referer_url(chat_id, request.model)
logger.info(f"Generated Chat ID: {chat_id} - Model: {request.model} - URL: {referer_url}")
agent_mode = AGENT_MODE.get(request.model, {})
trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
headers_api_chat = {
'accept': '*/*',
'accept-language': 'en-US,en;q=0.9',
'cache-control': 'no-cache',
'origin': BASE_URL,
'pragma': 'no-cache',
'priority': 'u=1, i',
'sec-ch-ua': '"Chromium";v="130", "Google Chrome";v="130", "Not?A_Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) '
'AppleWebKit/537.36 (KHTML, like Gecko) '
'Chrome/130.0.0.0 Safari/537.36',
'Content-Type': 'application/json',
'Referer': referer_url, # Retain referer if necessary
}
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' (Chat ID: {chat_id})")
await asyncio.sleep(delay_seconds)
json_data = {
"agentMode": agent_mode,
"clickedAnswer2": False,
"clickedAnswer3": False,
"clickedForceWebSearch": False,
"codeModelMode": True,
"githubToken": None,
"id": chat_id,
"isChromeExt": False,
"isMicMode": False,
"maxTokens": request.max_tokens,
"messages": [message_to_dict(msg) 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": "69783381-2ce4-4dbd-ac78-35e9063feabc",
"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)
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 Chat ID {chat_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 Chat ID {chat_id}: {e}")
raise HTTPException(status_code=500, detail=str(e))
# Process non-streaming response without model prefixes and referers
async def process_non_streaming_response(request: ChatRequest):
chat_id = generate_chat_id()
referer_url = get_referer_url(chat_id, request.model)
logger.info(f"Generated Chat ID: {chat_id} - Model: {request.model} - URL: {referer_url}")
agent_mode = AGENT_MODE.get(request.model, {})
trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
headers_api_chat = {
'accept': '*/*',
'accept-language': 'en-US,en;q=0.9',
'cache-control': 'no-cache',
'origin': BASE_URL,
'pragma': 'no-cache',
'priority': 'u=1, i',
'sec-ch-ua': '"Chromium";v="130", "Google Chrome";v="130", "Not?A_Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) '
'AppleWebKit/537.36 (KHTML, like Gecko) '
'Chrome/130.0.0.0 Safari/537.36',
'Content-Type': 'application/json',
'Referer': referer_url, # Retain referer if necessary
}
headers_chat = {
'accept': '*/*',
'accept-language': 'en-US,en;q=0.9',
'cache-control': 'no-cache',
'content-type': 'text/plain;charset=UTF-8',
'origin': BASE_URL,
'pragma': 'no-cache',
'priority': 'u=1, i',
'Referer': referer_url,
'next-action': str(uuid.uuid4()),
'next-router-state-tree': json.dumps([""]),
'next-url': '/',
}
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' (Chat ID: {chat_id})")
await asyncio.sleep(delay_seconds)
json_data = {
"agentMode": agent_mode,
"clickedAnswer2": False,
"clickedAnswer3": False,
"clickedForceWebSearch": False,
"codeModelMode": True,
"githubToken": None,
"id": chat_id,
"isChromeExt": False,
"isMicMode": False,
"maxTokens": request.max_tokens,
"messages": [message_to_dict(msg) 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": "69783381-2ce4-4dbd-ac78-35e9063feabc",
"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 for Chat ID {chat_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 Chat ID {chat_id}: {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)
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,
}