import os import time import logging import requests import concurrent.futures from datetime import datetime, timedelta from apscheduler.schedulers.background import BackgroundScheduler from flask import Flask, request, jsonify, Response, stream_with_context 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" MODELS_ENDPOINT = "https://api.siliconflow.cn/v1/models" app = Flask(__name__) all_models = [] free_models = [] invalid_keys_global = [] free_keys_global = [] unverified_keys_global = [] valid_keys_global = [] # 使用 ThreadPoolExecutor 管理并发 executor = concurrent.futures.ThreadPoolExecutor(max_workers=20) # 为每个模型维护一个独立的 key 索引 model_key_indices = {} 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) 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 FREE_MODEL_TEST_KEY = "sk-bmjbjzleaqfgtqfzmcnsbagxrlohriadnxqrzfocbizaxukw" 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) if response.status_code == 429 or response.status_code == 200 : return True else: return False 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 def refresh_models(): """ 刷新模型列表和免费模型列表。 """ global all_models, free_models all_models = get_all_models(FREE_MODEL_TEST_KEY) free_models = [] with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor: future_to_model = {executor.submit(test_model_availability, FREE_MODEL_TEST_KEY, model): model for model in all_models} for future in concurrent.futures.as_completed(future_to_model): model = future_to_model[future] try: is_free = future.result() if is_free: free_models.append(model) except Exception as exc: logging.error(f"模型 {model} 测试生成异常: {exc}") logging.info(f"所有模型列表:{all_models}") logging.info(f"免费模型列表:{free_models}") 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。 使用线程池并发处理每个 key。 """ keys_str = os.environ.get("KEYS") test_model = os.environ.get("TEST_MODEL", "Pro/google/gemma-2-9b-it") if keys_str: keys = [key.strip() for key in keys_str.split(',')] logging.info(f"加载的 keys:{keys}") with concurrent.futures.ThreadPoolExecutor(max_workers=20) as executor: future_to_key = {executor.submit(process_key, key, test_model): key for key in keys} invalid_keys = [] free_keys = [] unverified_keys = [] valid_keys = [] for future in concurrent.futures.as_completed(future_to_key): key = future_to_key[future] try: key_type = future.result() if key_type == "invalid": invalid_keys.append(key) elif key_type == "free": free_keys.append(key) elif key_type == "unverified": unverified_keys.append(key) elif key_type == "valid": valid_keys.append(key) except Exception as exc: logging.error(f"处理 KEY {key} 生成异常: {exc}") 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}") global invalid_keys_global, free_keys_global, unverified_keys_global, valid_keys_global invalid_keys_global = invalid_keys free_keys_global = free_keys unverified_keys_global = unverified_keys valid_keys_global = valid_keys else: logging.warning("环境变量 KEYS 未设置。") def process_key(key, test_model): """ 处理单个 key,判断其类型。 """ credit_summary = get_credit_summary(key) if credit_summary is None: return "invalid" else: total_balance = credit_summary.get("total_balance", 0) if total_balance <= 0: return "free" else: if test_model_availability(key, test_model): return "valid" else: return "unverified" def get_all_models(api_key): """ 获取所有模型列表。 """ headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json" } try: response = requests.get(MODELS_ENDPOINT, headers=headers, params={"sub_type": "chat"}) response.raise_for_status() data = response.json() if isinstance(data, dict) and 'data' in data and isinstance(data['data'], list): return [model.get("id") for model in data["data"] if isinstance(model, dict) and "id" in model] else: logging.error("获取模型列表失败:响应数据格式不正确") return [] except requests.exceptions.RequestException as e: logging.error(f"获取模型列表失败,API Key:{api_key},错误信息:{e}") return [] except (KeyError, TypeError) as e: logging.error(f"解析模型列表失败,API Key:{api_key},错误信息:{e}") return [] def determine_request_type(model_name): """ 根据用户请求的模型判断请求类型。 """ if model_name in free_models: return "free" elif model_name in all_models: return "paid" else: return "unknown" def select_key(request_type, model_name): """ 根据请求类型和模型名称选择合适的 KEY,并实现轮询和重试机制。 """ if request_type == "free": available_keys = free_keys_global + unverified_keys_global + valid_keys_global elif request_type == "paid": available_keys = unverified_keys_global + valid_keys_global else: available_keys = free_keys_global + unverified_keys_global + valid_keys_global if not available_keys: return None # 获取当前模型的索引,如果没有则初始化为 0 current_index = model_key_indices.get(model_name, 0) # 轮询并重试 for _ in range(len(available_keys)): key = available_keys[current_index % len(available_keys)] current_index += 1 # 检查 KEY 是否有效 if key_is_valid(key, request_type): # 更新模型索引并返回 KEY model_key_indices[model_name] = current_index return key else: logging.warning(f"KEY {key} 无效或达到限制,尝试下一个 KEY") # 所有 KEY 都尝试过,重置索引并返回 None model_key_indices[model_name] = 0 return None def key_is_valid(key, request_type): """ 检查 KEY 是否有效,根据不同的请求类型进行不同的检查。 """ if request_type == "invalid": return False # 无效 KEY 始终返回 False credit_summary = get_credit_summary(key) if credit_summary is None: return False total_balance = credit_summary.get("total_balance", 0) if request_type == "free": return True # 免费 KEY,只要能获取到信息,就认为是有效的 elif request_type == "paid" or request_type == "unverified": return total_balance > 0 # 付费 KEY 或未实名 KEY,需要余额大于 0 才是有效的 else: return False # 未知类型,返回 False def check_authorization(request): """ 检查请求头中的 Authorization 字段是否匹配环境变量 AUTHORIZATION_KEY。 """ authorization_key = os.environ.get("AUTHORIZATION_KEY") if not authorization_key: logging.warning("环境变量 AUTHORIZATION_KEY 未设置,请设置后重试。") return False auth_header = request.headers.get('Authorization') if not auth_header: logging.warning("请求头中缺少 Authorization 字段。") return False if auth_header != f"Bearer {authorization_key}": logging.warning(f"无效的 Authorization 密钥:{auth_header}") return False return True scheduler = BackgroundScheduler() scheduler.add_job(load_keys, 'interval', hours=1) scheduler.add_job(refresh_models, 'interval', minutes=10) @app.route('/') def index(): return "