from flask import Flask, request, jsonify, Response, stream_with_context, render_template_string from google.generativeai.types import BlockedPromptException, StopCandidateException, generation_types from google.api_core.exceptions import InvalidArgument, ResourceExhausted, Aborted, InternalServerError, ServiceUnavailable, PermissionDenied import google.generativeai as genai import json import os import re import logging import func from datetime import datetime, timedelta from apscheduler.schedulers.background import BackgroundScheduler import time import requests from collections import deque import random os.environ['TZ'] = 'Asia/Shanghai' app = Flask(__name__) app.secret_key = os.urandom(24) formatter = logging.Formatter('%(message)s') logger = logging.getLogger(__name__) logger.setLevel(logging.INFO) handler = logging.StreamHandler() handler.setFormatter(formatter) logger.addHandler(handler) MAX_RETRIES = int(os.environ.get('MaxRetries', 3)) MAX_REQUESTS = int(os.environ.get('MaxRequests', 2)) LIMIT_WINDOW = int(os.environ.get('LimitWindow', 60)) RETRY_DELAY = 1 MAX_RETRY_DELAY = 16 request_counts = {} api_key_blacklist = set() api_key_blacklist_duration = 60 # 核心优势 safety_settings = [ { "category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE" }, { "category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE" }, { "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE" }, { "category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE" }, ] class APIKeyManager: def __init__(self): self.api_keys = re.findall(r"AIzaSy[a-zA-Z0-9_-]{33}", os.environ.get('KeyArray')) self.current_index = random.randint(0, len(self.api_keys) - 1) def get_available_key(self): num_keys = len(self.api_keys) for _ in range(num_keys): if self.current_index >= num_keys: self.current_index = 0 current_key = self.api_keys[self.current_index] self.current_index += 1 if current_key not in api_key_blacklist: return current_key logger.error("所有API key都已耗尽或被暂时禁用，请重新配置或稍后重试") return None def show_all_keys(self): logger.info(f"当前可用API key个数: {len(self.api_keys)} ") for i, api_key in enumerate(self.api_keys): logger.info(f"API Key{i}: {api_key[:11]}...") def blacklist_key(self, key): logger.warning(f"{key[:11]} → 暂时禁用 {api_key_blacklist_duration} 秒") api_key_blacklist.add(key) scheduler.add_job(lambda: api_key_blacklist.discard(key), 'date', run_date=datetime.now() + timedelta(seconds=api_key_blacklist_duration)) key_manager = APIKeyManager() key_manager.show_all_keys() current_api_key = key_manager.get_available_key() def switch_api_key(): global current_api_key key = key_manager.get_available_key() if key: current_api_key = key logger.info(f"API key 替换为 → {current_api_key[:11]}...") else: logger.error("API key 替换失败，所有API key都已耗尽或被暂时禁用，请重新配置或稍后重试") logger.info(f"当前 API key: {current_api_key[:11]}...") GEMINI_MODELS = [ {"id": "gemini-1.5-flash-8b-latest"}, {"id": "gemini-1.5-flash-8b-exp-0924"}, {"id": "gemini-1.5-flash-latest"}, {"id": "gemini-1.5-flash-exp-0827"}, {"id": "gemini-1.5-pro-latest"}, {"id": "gemini-1.5-pro-exp-0827"}, {"id": "learnlm-1.5-pro-experimental"}, {"id": "gemini-exp-1114"}, {"id": "gemini-exp-1121"}, {"id": "gemini-exp-1206"}, {"id": "gemini-2.0-flash-exp"}, {"id": "gemini-2.0-flash-thinking-exp-1219"}, {"id": "gemini-2.0-pro-exp"}, {"id": "gemini-2.0-pro-exp-02-05"} ] @app.route('/') def index(): main_content = "test" html_template = """ {{ main_content }}

测试 """ return render_template_string(html_template, main_content=main_content) def is_within_rate_limit(api_key): now = datetime.now() if api_key not in request_counts: request_counts[api_key] = deque() while request_counts[api_key] and request_counts[api_key][0] < now - timedelta(seconds=LIMIT_WINDOW): request_counts[api_key].popleft() if len(request_counts[api_key]) >= MAX_REQUESTS: earliest_request_time = request_counts[api_key][0] wait_time = (earliest_request_time + timedelta(seconds=LIMIT_WINDOW)) - now return False, wait_time.total_seconds() else: return True, 0 def increment_request_count(api_key): now = datetime.now() if api_key not in request_counts: request_counts[api_key] = deque() request_counts[api_key].append(now) def handle_api_error(error, attempt): if attempt > MAX_RETRIES: logger.error(f"{MAX_RETRIES} 次尝试后仍然失败，请修改预设或输入") return 0, jsonify({ 'error': { 'message': f"{MAX_RETRIES} 次尝试后仍然失败，请修改预设或输入", 'type': 'max_retries_exceeded' } }) if isinstance(error, InvalidArgument): logger.error(f"{current_api_key[:11]} → 无效，可能已过期或被删除") key_manager.blacklist_key(current_api_key) switch_api_key() return 0, None elif isinstance(error, ResourceExhausted): delay = min(RETRY_DELAY * (2 ** attempt), MAX_RETRY_DELAY) logger.warning(f"{current_api_key[:11]} → 429 官方资源耗尽 → {delay} 秒后重试...") key_manager.blacklist_key(current_api_key) switch_api_key() time.sleep(delay) return 0, None elif isinstance(error, Aborted): delay = min(RETRY_DELAY * (2 ** attempt), MAX_RETRY_DELAY) logger.warning(f"{current_api_key[:11]} → 操作被中止 → {delay} 秒后重试...") time.sleep(delay) return 0, None elif isinstance(error, InternalServerError): delay = min(RETRY_DELAY * (2 ** attempt), MAX_RETRY_DELAY) logger.warning(f"{current_api_key[:11]} → 500 服务器内部错误 → {delay} 秒后重试...") time.sleep(delay) return 0, None elif isinstance(error, ServiceUnavailable): delay = min(RETRY_DELAY * (2 ** attempt), MAX_RETRY_DELAY) logger.warning(f"{current_api_key[:11]} → 503 服务不可用 → {delay} 秒后重试...") time.sleep(delay) return 0, None elif isinstance(error, PermissionDenied): logger.error(f"{current_api_key[:11]} → 403 权限被拒绝，该 API KEY 可能已经被官方封禁") key_manager.blacklist_key(current_api_key) switch_api_key() return 0, None elif isinstance(error, StopCandidateException): logger.warning(f"AI输出内容被Gemini官方阻挡，代理没有得到有效回复") switch_api_key() return 0, None elif isinstance(error, generation_types.BlockedPromptException): try: full_reason_str = str(error.args[0]) if "block_reason:" in full_reason_str: start_index = full_reason_str.find("block_reason:") + len("block_reason:") block_reason_str = full_reason_str[start_index:].strip() if block_reason_str == "SAFETY": logger.warning(f"用户输入因安全原因被阻止") return 1, None elif block_reason_str == "BLOCKLIST": logger.warning(f"用户输入因包含阻止列表中的术语而被阻止") return 1, None elif block_reason_str == "PROHIBITED_CONTENT": logger.warning(f"用户输入因包含禁止内容而被阻止") return 1, None elif block_reason_str == "OTHER": logger.warning(f"用户输入因未知原因被阻止") return 1, None else: logger.warning(f"用户输入被阻止，原因未知: {block_reason_str}") return 1, None else: logger.warning(f"用户输入被阻止，原因未知: {full_reason_str}") return 1, None except (IndexError, AttributeError) as e: logger.error(f"获取提示原因失败↙\n{e}") logger.error(f"提示被阻止↙\n{error}") return 2, None else: logger.error(f"该模型还未发布，暂时不可用，请更换模型或未来一段时间再试") logger.error(f"证明↙\n{error}") return 2, None @app.route('/hf/v1/chat/completions', methods=['POST']) def chat_completions(): is_authenticated, auth_error, status_code = func.authenticate_request(request) if not is_authenticated: return auth_error if auth_error else jsonify({'error': '未授权'}), status_code if status_code else 401 request_data = request.get_json() messages = request_data.get('messages', []) model = request_data.get('model', 'gemini-2.0-flash-exp') temperature = request_data.get('temperature', 1) max_tokens = request_data.get('max_tokens', 8192) stream = request_data.get('stream', False) hint = "流式" if stream else "非流" logger.info(f"\n{model} [{hint}] → {current_api_key[:11]}...") gemini_history, user_message, error_response = func.process_messages_for_gemini(messages) if error_response: logger.error(f"处理输入消息时出错↙\n {error_response}") return jsonify(error_response), 400 def do_request(current_api_key, attempt): isok, time = is_within_rate_limit(current_api_key) if not isok: logger.warning(f"{current_api_key[:11]} → 暂时超过限额，该API key将在 {time} 秒后启用...") switch_api_key() return 0, None increment_request_count(current_api_key) genai.configure(api_key=current_api_key) generation_config = { "temperature": temperature, "max_output_tokens": max_tokens } gen_model = genai.GenerativeModel( model_name=model, generation_config=generation_config, safety_settings=safety_settings ) try: if gemini_history: chat_session = gen_model.start_chat(history=gemini_history) response = chat_session.send_message(user_message, stream=stream) else: response = gen_model.generate_content(user_message, stream=stream) return 1, response except Exception as e: return handle_api_error(e, attempt) def generate(response): try: logger.info(f"流式开始...") for chunk in response: if chunk.text: data = { 'choices': [ { 'delta': { 'content': chunk.text }, 'finish_reason': None, 'index': 0 } ], 'object': 'chat.completion.chunk' } yield f"data: {json.dumps(data)}\n\n" data = { 'choices': [ { 'delta': {}, 'finish_reason': 'stop', 'index': 0 } ], 'object': 'chat.completion.chunk' } logger.info(f"流式结束") yield f"data: {json.dumps(data)}\n\n" logger.info(f"200!") except Exception: logger.error(f"流式输出中途被截断，请关闭流式输出或修改你的输入") logger.info(f"流式结束") error_data = { 'error': { 'message': '流式输出时截断，请关闭流式输出或修改你的输入', 'type': 'internal_server_error' } } yield f"data: {json.dumps(error_data)}\n\n" data = { 'choices': [ { 'delta': {}, 'finish_reason': 'stop', 'index': 0 } ], 'object': 'chat.completion.chunk' } yield f"data: {json.dumps(data)}\n\n" attempt = 0 success = 0 response = None for attempt in range(1, MAX_RETRIES + 1): logger.info(f"第 {attempt}/{MAX_RETRIES} 次尝试 ...") success, response = do_request(current_api_key, attempt) if success == 1: break elif success == 2: logger.error(f"{model} 很可能暂时不可用，请更换模型或未来一段时间再试") response = { 'error': { 'message': f'{model} 很可能暂时不可用，请更换模型或未来一段时间再试', 'type': 'internal_server_error' } } return jsonify(response), 503 else: logger.error(f"{MAX_RETRIES} 次尝试均失败，请调整配置或向Moonfanz反馈") response = { 'error': { 'message': f'{MAX_RETRIES} 次尝试均失败，请调整配置或向Moonfanz反馈', 'type': 'internal_server_error' } } return jsonify(response), 500 if response is not None else 503 if stream: return Response(stream_with_context(generate(response)), mimetype='text/event-stream') else: try: text_content = response.text except (AttributeError, IndexError, TypeError, ValueError) as e: if "response.candidates is empty" in str(e): logger.error(f"你的输入被AI安全过滤器阻止") return jsonify({ 'error': { 'message': '你的输入被AI安全过滤器阻止', 'type': 'prompt_blocked_error', 'details': str(e) } }), 400 else: logger.error(f"AI响应处理失败") return jsonify({ 'error': { 'message': 'AI响应处理失败', 'type': 'response_processing_error' } }), 500 response_data = { 'id': 'chatcmpl-xxxxxxxxxxxx', 'object': 'chat.completion', 'created': int(datetime.now().timestamp()), 'model': model, 'choices': [{ 'index': 0, 'message': { 'role': 'assistant', 'content': text_content }, 'finish_reason': 'stop' }], 'usage': { 'prompt_tokens': 0, 'completion_tokens': 0, 'total_tokens': 0 } } logger.info(f"200!") return jsonify(response_data) @app.route('/hf/v1/models', methods=['GET']) def list_models(): response = {"object": "list", "data": GEMINI_MODELS} return jsonify(response) def keep_alive(): try: response = requests.get("http://127.0.0.1:7860/", timeout=10) response.raise_for_status() print(f"Keep alive ping successful: {response.status_code} at {time.ctime()}") except requests.exceptions.RequestException as e: print(f"Keep alive ping failed: {e} at {time.ctime()}") if __name__ == '__main__': scheduler = BackgroundScheduler() scheduler.add_job(keep_alive, 'interval', hours=12) scheduler.start() logger.info(f"最大尝试次数/MaxRetries: {MAX_RETRIES}") logger.info(f"最大请求次数/MaxRequests: {MAX_REQUESTS}") logger.info(f"请求限额窗口/LimitWindow: {LIMIT_WINDOW} 秒") app.run(debug=True, host='0.0.0.0', port=int(os.environ.get('PORT', 7860)))