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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
from fastapi import Depends, HTTPException as FastAPIHTTPException
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
from api.config import APP_SECRET, BASE_URL
from api.models import ChatRequest
from api.logger import setup_logger
logger = setup_logger(__name__)
# Initialize HTTPBearer for security dependency
security = HTTPBearer()
def create_chat_completion_data(
content: str, model: str, timestamp: int, finish_reason: Optional[str] = None
) -> Dict[str, Any]:
"""
Create a dictionary representing a chat completion chunk.
Args:
content (str): The content of the message.
model (str): The model used for the chat.
timestamp (int): The timestamp of the creation.
finish_reason (Optional[str], optional): The reason for finishing. Defaults to None.
Returns:
Dict[str, Any]: A dictionary representing the chat completion chunk.
"""
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,
}
def verify_app_secret(credentials: HTTPAuthorizationCredentials = Depends(security)):
"""
Verify the application secret from the HTTP authorization credentials.
Args:
credentials (HTTPAuthorizationCredentials, optional): The HTTP authorization credentials. Defaults to Depends(security).
Raises:
HTTPException: If the APP_SECRET does not match.
Returns:
str: The verified credentials.
"""
if credentials.credentials != APP_SECRET:
raise FastAPIHTTPException(status_code=403, detail="Invalid APP_SECRET")
return credentials.credentials
def message_to_dict(message):
"""
Convert a message object to a dictionary.
Args:
message: The message object to convert.
Returns:
Dict[str, Any]: The dictionary representation of the message.
"""
if isinstance(message.content, str):
return {"role": message.role, "content": message.content}
elif isinstance(message.content, list) and len(message.content) == 2:
return {
"role": message.role,
"content": message.content[0]["text"],
"data": {
"imageBase64": message.content[1]["image_url"]["url"],
"fileText": "",
"title": "snapshot",
},
}
else:
return {"role": message.role, "content": message.content}
async def process_streaming_response(request: ChatRequest):
"""
Process a streaming response from the chat API.
Args:
request (ChatRequest): The chat request containing all necessary information.
Yields:
str: The streaming data chunks formatted as server-sent events.
"""
agent_mode = AGENT_MODE.get(request.model, {})
trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
# Log reduced information
logger.info(
f"Streaming request for model: '{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()
timestamp = int(datetime.now().timestamp())
async for line in response.aiter_lines():
if line:
content = line + "\n"
if "https://www.blackbox.ai" in content:
validate.getHid(True)
content = "Hid has been refreshed; feel free to restart the conversation.\n"
yield f"data: {json.dumps(create_chat_completion_data(content, request.model, timestamp))}\n\n"
break
# Remove the specific pattern without affecting markdown
content = content.replace("$@$v=undefined-rv1$@$", "")
yield f"data: {json.dumps(create_chat_completion_data(content, request.model, timestamp))}\n\n"
# Indicate the end of the stream
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 FastAPIHTTPException(status_code=e.response.status_code, detail=str(e))
except httpx.RequestError as e:
logger.error(f"Error occurred during request: {e}")
raise FastAPIHTTPException(status_code=500, detail=str(e))
async def process_non_streaming_response(request: ChatRequest):
"""
Process a non-streaming response from the chat API.
Args:
request (ChatRequest): The chat request containing all necessary information.
Returns:
Dict[str, Any]: The full response from the chat API formatted appropriately.
"""
agent_mode = AGENT_MODE.get(request.model, {})
trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {})
# Log reduced information
logger.info(
f"Non-streaming request for model: '{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:
try:
async with client.stream(
method="POST",
url=f"{BASE_URL}/api/chat",
headers=headers,
json=json_data,
timeout=100,
) as response:
response.raise_for_status()
async for chunk in response.aiter_text():
full_response += chunk
if "https://www.blackbox.ai" in full_response:
validate.getHid(True)
full_response = "Hid has been refreshed; feel free to restart the conversation."
# Remove the specific pattern without affecting markdown
full_response = full_response.replace("$@$v=undefined-rv1$@$", "")
return {
"id": f"chatcmpl-{uuid.uuid4()}",
"object": "chat.completion",
"created": int(datetime.now().timestamp()),
"model": request.model,
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": full_response},
"finish_reason": "stop",
}
],
"usage": None,
}
except httpx.HTTPStatusError as e:
logger.error(f"HTTP error occurred: {e}")
raise FastAPIHTTPException(status_code=e.response.status_code, detail=str(e))
except httpx.RequestError as e:
logger.error(f"Error occurred during request: {e}")
raise FastAPIHTTPException(status_code=500, detail=str(e))
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