import os import time import logging import requests from apscheduler.schedulers.background import BackgroundScheduler from flask import Flask, request, jsonify # 配置日志记录 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') API_ENDPOINT = "https://api.siliconflow.cn/v1/user/info" TEST_MODEL_ENDPOINT = "https://api.siliconflow.cn/v1/chat/completions" app = Flask(__name__) def get_credit_summary(api_key): """ 使用 API 密钥获取额度信息。 """ headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json" } try: response = requests.get(API_ENDPOINT, headers=headers) response.raise_for_status() data = response.json().get("data", {}) total_balance = data.get("totalBalance", 0) # 将 total_balance 转换为浮点数 return {"total_balance": float(total_balance)} except requests.exceptions.RequestException as e: logging.error(f"获取额度信息失败,API Key:{api_key},错误信息:{e}") return None except (KeyError, TypeError) as e: logging.error(f"解析额度信息失败,API Key:{api_key},错误信息:{e}") return None except ValueError as e: logging.error(f"total_balance 无法转换为浮点数,API Key:{api_key},错误信息:{e}") return None def test_model_availability(api_key, model_name): """ 测试指定的模型是否可用。 """ headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json" } try: response = requests.post(TEST_MODEL_ENDPOINT, headers=headers, json={ "model": model_name, "messages": [{"role": "user", "content": "hi"}], "max_tokens": 10, "stream": False }, timeout=10) response.raise_for_status() # 检查是否是429错误 if response.status_code == 429: return True response.json() # 尝试解析 JSON 响应 return True except requests.exceptions.RequestException as e: logging.error(f"测试模型 {model_name} 可用性失败,API Key:{api_key},错误信息:{e}") return False except ValueError: logging.error(f"测试模型 {model_name} 可用性失败,API Key:{api_key},响应不是有效的 JSON 格式") return False def load_keys(): """ 从环境变量中加载 keys,并根据额度和模型可用性进行分类,然后记录到日志中。 """ keys_str = os.environ.get("KEYS") test_model = os.environ.get("TEST_MODEL", "Pro/google/gemma-2-9b-it") invalid_keys = [] free_keys = [] unverified_keys = [] valid_keys = [] if keys_str: keys = [key.strip() for key in keys_str.split(',')] logging.info(f"加载的 keys:{keys}") for key in keys: credit_summary = get_credit_summary(key) if credit_summary is None: invalid_keys.append(key) else: total_balance = credit_summary.get("total_balance", 0) if total_balance <= 0: free_keys.append(key) else: if test_model_availability(key, test_model): valid_keys.append(key) else: unverified_keys.append(key) logging.info(f"无效 KEY:{invalid_keys}") logging.info(f"免费 KEY:{free_keys}") logging.info(f"未实名 KEY:{unverified_keys}") logging.info(f"有效 KEY:{valid_keys}") else: logging.warning("环境变量 KEYS 未设置。") # 创建一个后台调度器 scheduler = BackgroundScheduler() # 添加定时任务,每小时执行一次 load_keys 函数 scheduler.add_job(load_keys, 'interval', hours=1) @app.route('/') def index(): """ 处理根路由的访问请求。 """ return "

Welcome to SiliconFlow

" @app.route('/check_tokens', methods=['POST']) def check_tokens(): """ 处理前端发送的 Token 检测请求。 """ tokens = request.json.get('tokens', []) test_model = os.environ.get("TEST_MODEL", "Pro/google/gemma-2-9b-it") results = [] for token in tokens: credit_summary = get_credit_summary(token) if credit_summary is None: results.append({"token": token, "type": "无效 KEY", "balance": 0, "message": "无法获取额度信息"}) else: total_balance = credit_summary.get("total_balance", 0) if total_balance <= 0: results.append({"token": token, "type": "免费 KEY", "balance": total_balance, "message": "额度不足"}) else: if test_model_availability(token, test_model): results.append({"token": token, "type": "有效 KEY", "balance": total_balance, "message": "可以使用指定模型"}) else: results.append({"token": token, "type": "未实名 KEY", "balance": total_balance, "message": "无法使用指定模型"}) return jsonify(results) if __name__ == '__main__': # 打印所有环境变量,方便调试 logging.info(f"环境变量:{os.environ}") # 启动调度器 scheduler.start() # 手动触发一次 load_keys 任务 load_keys() logging.info("首次加载 keys 已手动触发执行") # 启动 Flask 应用,监听所有 IP 的 7860 端口(Hugging Face Space 默认端口) app.run(debug=False, host='0.0.0.0', port=int(os.environ.get('PORT', 7860)))