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from datetime import datetime |
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import json |
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from typing import Any, Dict, Optional |
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import uuid |
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import httpx |
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from api.config import MODEL_MAPPING, headers, AGENT_MODE, TRENDING_AGENT_MODE, BASE_URL |
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from fastapi import HTTPException |
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from api.models import ChatRequest |
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from api.logger import setup_logger |
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logger = setup_logger(__name__) |
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def create_chat_completion_data( |
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content: str, model: str, timestamp: int, finish_reason: Optional[str] = None |
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) -> Dict[str, Any]: |
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return { |
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"id": f"chatcmpl-{uuid.uuid4()}", |
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"object": "chat.completion.chunk", |
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"created": timestamp, |
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"model": model, |
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"choices": [ |
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{ |
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"index": 0, |
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"delta": {"content": content, "role": "assistant"}, |
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"finish_reason": finish_reason, |
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} |
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], |
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"usage": None, |
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} |
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def message_to_dict(message): |
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if isinstance(message.content, str): |
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return {"role": message.role, "content": message.content} |
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elif isinstance(message.content, list) and len(message.content) == 2: |
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return { |
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"role": message.role, |
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"content": message.content[0]["text"], |
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"data": { |
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"imageBase64": message.content[1]["image_url"]["url"], |
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"fileText": "", |
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"title": "snapshot", |
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}, |
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} |
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else: |
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return {"role": message.role, "content": message.content} |
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async def process_streaming_response(request: ChatRequest): |
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agent_mode = AGENT_MODE.get(request.model, {}) |
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trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {}) |
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model = MODEL_MAPPING.get(request.model, request.model) |
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prefix = "" |
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model_prefixes = { |
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'gpt-4o': '@GPT-4o', |
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'gemini-pro': '@Gemini-PRO', |
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'claude-sonnet-3.5': '@Claude-Sonnet-3.5', |
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'PythonAgent': '@Python Agent', |
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'JavaAgent': '@Java Agent', |
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'JavaScriptAgent': '@JavaScript Agent', |
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'HTMLAgent': '@HTML Agent', |
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'GoogleCloudAgent': '@Google Cloud Agent', |
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'AndroidDeveloper': '@Android Developer', |
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'SwiftDeveloper': '@Swift Developer', |
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'Next.jsAgent': '@Next.js Agent', |
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'MongoDBAgent': '@MongoDB Agent', |
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'PyTorchAgent': '@PyTorch Agent', |
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'ReactAgent': '@React Agent', |
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'XcodeAgent': '@Xcode Agent', |
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'AngularJSAgent': '@AngularJS Agent', |
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'blackboxai-pro': '@BLACKBOXAI-PRO', |
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'ImageGeneration': '@Image Generation', |
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} |
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prefix = model_prefixes.get(request.model, "") |
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formatted_messages = [] |
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for msg in request.messages: |
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formatted_content = msg.content |
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if prefix and msg.role.lower() == "user": |
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formatted_content = f"{prefix} {formatted_content}" |
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formatted_messages.append({ |
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"role": msg.role, |
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"content": formatted_content, |
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"data": msg.content.get('data') if isinstance(msg.content, dict) else None |
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}) |
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json_data = { |
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"messages": formatted_messages, |
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"previewToken": None, |
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"userId": None, |
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"codeModelMode": True, |
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"agentMode": agent_mode, |
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"trendingAgentMode": trending_agent_mode, |
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"isMicMode": False, |
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"userSystemPrompt": None, |
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"maxTokens": request.max_tokens, |
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"playgroundTopP": request.top_p, |
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"playgroundTemperature": request.temperature, |
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"isChromeExt": False, |
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"githubToken": None, |
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"clickedAnswer2": False, |
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"clickedAnswer3": False, |
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"clickedForceWebSearch": False, |
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"visitFromDelta": False, |
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"mobileClient": False, |
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"webSearchMode": False, |
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"userSelectedModel": model, |
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} |
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async with httpx.AsyncClient() as client: |
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try: |
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async with client.stream( |
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"POST", |
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f"{BASE_URL}/api/chat", |
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headers=headers, |
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json=json_data, |
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timeout=100, |
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) as response: |
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response.raise_for_status() |
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async for line in response.aiter_lines(): |
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timestamp = int(datetime.now().timestamp()) |
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if line: |
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content = line |
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if content.startswith("$@$v=undefined-rv1$@$"): |
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content = content[21:] |
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yield f"data: {json.dumps(create_chat_completion_data(content, request.model, timestamp))}\n\n" |
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yield f"data: {json.dumps(create_chat_completion_data('', request.model, timestamp, 'stop'))}\n\n" |
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yield "data: [DONE]\n\n" |
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except httpx.HTTPStatusError as e: |
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logger.error(f"HTTP error occurred: {e}") |
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raise HTTPException(status_code=e.response.status_code, detail=str(e)) |
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except httpx.RequestError as e: |
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logger.error(f"Error occurred during request: {e}") |
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raise HTTPException(status_code=500, detail=str(e)) |
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async def process_non_streaming_response(request: ChatRequest): |
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agent_mode = AGENT_MODE.get(request.model, {}) |
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trending_agent_mode = TRENDING_AGENT_MODE.get(request.model, {}) |
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model = MODEL_MAPPING.get(request.model, request.model) |
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prefix = "" |
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model_prefixes = { |
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'gpt-4o': '@GPT-4o', |
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'gemini-pro': '@Gemini-PRO', |
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'claude-sonnet-3.5': '@Claude-Sonnet-3.5', |
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'PythonAgent': '@Python Agent', |
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'JavaAgent': '@Java Agent', |
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'JavaScriptAgent': '@JavaScript Agent', |
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'HTMLAgent': '@HTML Agent', |
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'GoogleCloudAgent': '@Google Cloud Agent', |
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'AndroidDeveloper': '@Android Developer', |
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'SwiftDeveloper': '@Swift Developer', |
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'Next.jsAgent': '@Next.js Agent', |
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'MongoDBAgent': '@MongoDB Agent', |
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'PyTorchAgent': '@PyTorch Agent', |
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'ReactAgent': '@React Agent', |
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'XcodeAgent': '@Xcode Agent', |
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'AngularJSAgent': '@AngularJS Agent', |
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'blackboxai-pro': '@BLACKBOXAI-PRO', |
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'ImageGeneration': '@Image Generation', |
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} |
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prefix = model_prefixes.get(request.model, "") |
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formatted_messages = [] |
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for msg in request.messages: |
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formatted_content = msg.content |
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if prefix and msg.role.lower() == "user": |
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formatted_content = f"{prefix} {formatted_content}" |
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formatted_messages.append({ |
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"role": msg.role, |
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"content": formatted_content, |
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"data": msg.content.get('data') if isinstance(msg.content, dict) else None |
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}) |
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json_data = { |
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"messages": formatted_messages, |
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"previewToken": None, |
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"userId": None, |
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"codeModelMode": True, |
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"agentMode": agent_mode, |
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"trendingAgentMode": trending_agent_mode, |
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"isMicMode": False, |
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"userSystemPrompt": None, |
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"maxTokens": request.max_tokens, |
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"playgroundTopP": request.top_p, |
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"playgroundTemperature": request.temperature, |
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"isChromeExt": False, |
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"githubToken": None, |
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"clickedAnswer2": False, |
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"clickedAnswer3": False, |
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"clickedForceWebSearch": False, |
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"visitFromDelta": False, |
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"mobileClient": False, |
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"webSearchMode": False, |
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"userSelectedModel": model, |
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} |
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full_response = "" |
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async with httpx.AsyncClient() as client: |
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try: |
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async with client.post( |
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f"{BASE_URL}/api/chat", |
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headers=headers, |
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json=json_data, |
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timeout=100, |
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) as response: |
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response.raise_for_status() |
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full_response = await response.text() |
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except httpx.HTTPStatusError as e: |
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logger.error(f"HTTP error occurred: {e}") |
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raise HTTPException(status_code=e.response.status_code, detail=str(e)) |
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except httpx.RequestError as e: |
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logger.error(f"Error occurred during request: {e}") |
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raise HTTPException(status_code=500, detail=str(e)) |
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if full_response.startswith("$@$v=undefined-rv1$@$"): |
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full_response = full_response[21:] |
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return { |
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"id": f"chatcmpl-{uuid.uuid4()}", |
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"object": "chat.completion", |
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"created": int(datetime.now().timestamp()), |
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"model": request.model, |
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"choices": [ |
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{ |
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"index": 0, |
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"message": {"role": "assistant", "content": full_response}, |
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"finish_reason": "stop", |
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} |
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], |
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"usage": None, |
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} |
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