app.py

import os
import json
import uuid
import re
from datetime import datetime
from flask import Flask, request, Response, jsonify
import socketio
import requests
import logging
from threading import Event

app = Flask(__name__)

# 从环境变量中获取API密钥
API_KEY = os.environ.get('PPLX_KEY')

# 代理设置
proxy_url = os.environ.get('PROXY_URL')

# 设置代理
if proxy_url:
    proxies = {
        'http': proxy_url,
        'https': proxy_url
    }
    transport = requests.Session()
    transport.proxies.update(proxies)
else:
    transport = None

sio = socketio.Client(http_session=transport, logger=False, engineio_logger=False)

# 连接选项
connect_opts = {
    'transports': ['websocket', 'polling'],
}

# 其他选项
sio_opts = {
    'extraHeaders': {
        'Cookie': os.environ.get('PPLX_COOKIE'),
        'User-Agent': os.environ.get('USER_AGENT'),
        'Accept': '*/*',
        'priority': 'u=1, i',
        'Referer': 'https://www.perplexity.ai/',
    }
}

class CustomFormatter(logging.Formatter):
    def format(self, record):
        log_data = {
            "timestamp": self.formatTime(record, self.datefmt),
            "level": record.levelname,
            "message": self.remove_ansi_escape(record.getMessage()),
        }
        if hasattr(record, 'event_type'):
            log_data['event_type'] = record.event_type
        if hasattr(record, 'data'):
            log_data['data'] = record.data
        return json.dumps(log_data, ensure_ascii=False, indent=2)

    def remove_ansi_escape(self, text):
        ansi_escape = re.compile(r'\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])')
        return ansi_escape.sub('', text)

def setup_logging():
    logger = logging.getLogger()
    logger.setLevel(logging.INFO)
    handler = logging.StreamHandler()
    handler.setFormatter(CustomFormatter())
    logger.addHandler(handler)

logger = logging.getLogger(__name__)

def log_request(ip, route, status):
    timestamp = datetime.now().isoformat()
    logger.info(f"Request received", extra={
        'event_type': 'request',
        'data': {
            'timestamp': timestamp,
            'ip': ip,
            'route': route,
            'status': status
        }
    })

def validate_api_key():
    api_key = request.headers.get('x-api-key')
    if api_key != API_KEY:
        log_request(request.remote_addr, request.path, 401)
        return jsonify({"error": "Invalid API key"}), 401
    return None

def normalize_content(content):
    if isinstance(content, str):
        return content
    elif isinstance(content, dict):
        return json.dumps(content, ensure_ascii=False)
    elif isinstance(content, list):
        return " ".join([normalize_content(item) for item in content])
    else:
        return ""

def calculate_tokens(text):
    if re.search(r'[^\x00-\x7F]', text):
        return len(text)
    else:
        tokens = text.split()
        return len(tokens)

def create_event(event, data):
    if isinstance(data, dict):
        data = json.dumps(data, ensure_ascii=False)
    return f"event: {event}\ndata: {data}\n\n"

@app.route('/')
def root():
    log_request(request.remote_addr, request.path, 200)
    return jsonify({
        "message": "Welcome to the Perplexity AI Proxy API",
        "endpoints": {
            "/ai/v1/messages": {
                "method": "POST",
                "description": "Send a message to the AI",
                "headers": {
                    "x-api-key": "Your API key (required)",
                    "Content-Type": "application/json"
                },
                "body": {
                    "messages": "Array of message objects",
                    "stream": "Boolean (true for streaming response)",
                    "model": "Model to be used (optional, defaults to claude-3-opus-20240229)"
                }
            }
        }
    })

@app.route('/ai/v1/messages', methods=['POST'])
def messages():
    auth_error = validate_api_key()
    if auth_error:
        return auth_error

    try:
        json_body = request.json
        model = json_body.get('model', 'claude-3-opus-20240229')
        stream = json_body.get('stream', True)

        previous_messages = "\n\n".join([normalize_content(msg['content']) for msg in json_body['messages']])
        input_tokens = calculate_tokens(previous_messages)

        msg_id = str(uuid.uuid4())
        response_event = Event()
        response_text = []
        total_output_tokens = 0

        if not stream:
            return handle_non_stream(previous_messages, msg_id, model, input_tokens)

        log_request(request.remote_addr, request.path, 200)

        def generate():
            nonlocal total_output_tokens

            start_event = create_event("message_start", {
                "type": "message_start",
                "message": {
                    "id": msg_id,
                    "type": "message",
                    "role": "assistant",
                    "model": model,
                    "content": [],
                    "stop_reason": None,
                    "stop_sequence": None,
                    "usage": {"input_tokens": input_tokens, "output_tokens": total_output_tokens},
                },
            })
            logger.info("Sending message_start event", extra={
                'event_type': 'message_start',
                'data': {'content': start_event}
            })
            yield start_event

            block_start_event = create_event("content_block_start", {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}})
            logger.info("Sending content_block_start event", extra={
                'event_type': 'content_block_start',
                'data': {'content': block_start_event}
            })
            yield block_start_event

            ping_event = create_event("ping", {"type": "ping"})
            logger.info("Sending ping event", extra={
                'event_type': 'ping',
                'data': {'content': ping_event}
            })
            yield ping_event

            def on_query_progress(data):
                nonlocal total_output_tokens, response_text
                if 'text' in data:
                    text = json.loads(data['text'])
                    chunk = text['chunks'][-1] if text['chunks'] else None
                    if chunk:
                        response_text.append(chunk)
                        chunk_tokens = calculate_tokens(chunk)
                        total_output_tokens += chunk_tokens
                        delta_event = create_event("content_block_delta", {
                            "type": "content_block_delta",
                            "index": 0,
                            "delta": {"type": "text_delta", "text": chunk},
                        })
                        logger.info("Sending content_block_delta event", extra={
                            'event_type': 'content_block_delta',
                            'data': {
                                'chunk': chunk,
                                'tokens': chunk_tokens,
                                'total_tokens': total_output_tokens,
                                'content': delta_event
                            }
                        })
                        yield delta_event

                if data.get('final', False):
                    response_event.set()

            def on_connect():
                logger.info("Connected to Perplexity AI", extra={'event_type': 'connection_established'})
                emit_data = {
                    "version": "2.9",
                    "source": "default",
                    "attachments": [],
                    "language": "en-GB",
                    "timezone": "Europe/London",
                    "mode": "concise",
                    "is_related_query": False,
                    "is_default_related_query": False,
                    "visitor_id": str(uuid.uuid4()),
                    "frontend_context_uuid": str(uuid.uuid4()),
                    "prompt_source": "user",
                    "query_source": "home"
                }
                sio.emit('perplexity_ask', (previous_messages, emit_data))
                logger.info("Sent query to Perplexity AI", extra={
                    'event_type': 'query_sent',
                    'data': {
                        'message': previous_messages[:100] + '...' if len(previous_messages) > 100 else previous_messages
                    }
                })

            sio.on('connect', on_connect)
            sio.on('query_progress', on_query_progress)

            try:
                sio.connect('wss://www.perplexity.ai/', **connect_opts, headers=sio_opts['extraHeaders'])
                
                while not response_event.is_set():
                    sio.sleep(0.1)
                
            except Exception as e:
                logger.error(f"Error during socket connection: {str(e)}", extra={
                    'event_type': 'connection_error',
                    'data': {'error': str(e)}
                })
                yield create_event("content_block_delta", {
                    "type": "content_block_delta",
                    "index": 0,
                    "delta": {"type": "text_delta", "text": f"Error during socket connection: {str(e)}"},
                })
            finally:
                if sio.connected:
                    sio.disconnect()

            stop_event = create_event("content_block_stop", {"type": "content_block_stop", "index": 0})
            logger.info("Sending content_block_stop event", extra={
                'event_type': 'content_block_stop',
                'data': {'content': stop_event}
            })
            yield stop_event

            message_delta_event = create_event("message_delta", {
                "type": "message_delta",
                "delta": {"stop_reason": "end_turn", "stop_sequence": None},
                "usage": {"output_tokens": total_output_tokens},
            })
            logger.info("Sending message_delta event", extra={
                'event_type': 'message_delta',
                'data': {'content': message_delta_event}
            })
            yield message_delta_event

            message_stop_event = create_event("message_stop", {"type": "message_stop"})
            logger.info("Sending message_stop event", extra={
                'event_type': 'message_stop',
                'data': {'content': message_stop_event}
            })
            yield message_stop_event

        return Response(generate(), content_type='text/event-stream')

    except Exception as e:
        logger.error(f"Request error: {str(e)}", extra={
            'event_type': 'request_error',
            'data': {'error': str(e)}
        })
        log_request(request.remote_addr, request.path, 400)
        return jsonify({"error": str(e)}), 400

def handle_non_stream(previous_messages, msg_id, model, input_tokens):
    try:
        response_event = Event()
        response_text = []
        total_output_tokens = 0

        def on_query_progress(data):
            nonlocal response_text, total_output_tokens
            if 'text' in data:
                text = json.loads(data['text'])
                chunk = text['chunks'][-1] if text['chunks'] else None
                if chunk:
                    response_text.append(chunk)
                    chunk_tokens = calculate_tokens(chunk)
                    total_output_tokens += chunk_tokens

            if data.get('final', False):
                response_event.set()

        def on_connect():
            logger.info("Connected to Perplexity AI (non-stream)", extra={'event_type': 'connection_established_non_stream'})
            emit_data = {
                "version": "2.9",
                "source": "default",
                "attachments": [],
                "language": "en-GB",
                "timezone": "Europe/London",
                "mode": "concise",
                "is_related_query": False,
                "is_default_related_query": False,
                "visitor_id": str(uuid.uuid4()),
                "frontend_context_uuid": str(uuid.uuid4()),
                "prompt_source": "user",
                "query_source": "home"
            }
            sio.emit('perplexity_ask', (previous_messages, emit_data))

        sio.on('connect', on_connect)
        sio.on('query_progress', on_query_progress)

        sio.connect('wss://www.perplexity.ai/', **connect_opts, headers=sio_opts['extraHeaders'])
        
        response_event.wait(timeout=30)

        full_response = {
            "content": [{"text": ''.join(response_text), "type": "text"}],
            "id": msg_id,
            "model": model,
            "role": "assistant",
            "stop_reason": "end_turn",
            "stop_sequence": None,
            "type": "message",
            "usage": {
                "input_tokens": input_tokens,
                "output_tokens": total_output_tokens,
            },
        }
        logger.info("Sending non-stream response", extra={
            'event_type': 'non_stream_response',
            'data': {'content': full_response}
        })
        return Response(json.dumps(full_response, ensure_ascii=False), content_type='application/json')

    except Exception as e:
        logger.error(f"Error during socket connection: {str(e)}", extra={
            'event_type': 'connection_error_non_stream',
            'data': {'error': str(e)}
        })
        return jsonify({"error": str(e)}), 500
    finally:
        if sio.connected:
            sio.disconnect()

@app.errorhandler(404)
def not_found(error):
    log_request(request.remote_addr, request.path, 404)
    return "Not Found", 404

@app.errorhandler(500)
def server_error(error):
    logger.error(f"Server error: {str(error)}", extra={
        'event_type': 'server_error',
        'data': {'error': str(error)}
    })
    log_request(request.remote_addr, request.path, 500)
    return "Something broke!", 500

if __name__ == '__main__':
    setup_logging()
    port = int(os.environ.get('PORT', 8081))
    logger.info("Perplexity proxy starting", extra={
        'event_type': 'server_start',
        'data': {'port': port}
    })
    if not API_KEY:
        logger.warning("PPLX_KEY environment variable is not set", extra={'event_type': 'config_warning'})
    app.run(host='0.0.0.0', port=port)