V2Ray配置文件列表

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V2Ray生产环境配置文件

文件名：v2ray/production/configuration.py

文件类型：python

# 生产环境配置文件
import os
import json
import time
import requests
# 生产环境资源管理
def setup_environment():
    os.environ['V2Ray_API_KEY'] = os.getenv('V2Ray_API_KEY')
    os.environ['V2Ray_APP_KEY'] = os.getenv('V2Ray_APP_KEY')
    os.environ['V2Ray_APP_SECRET_KEY'] = os.getenv('V2Ray_APP_SECRET_KEY')
    os.environ['V2Ray_API_BASE_URL'] = os.getenv('V2Ray_API_BASE_URL')
    os.environ['V2Ray_API_VERSION'] = os.getenv('V2Ray_API_VERSION')
    os.environ['V2Ray_DOGGiest_API_KEY'] = os.getenv('V2Ray_DOGGiest_API_KEY')
    os.environ['V2Ray_DOGGiest_API_VERSION'] = os.getenv('V2Ray_DOGGiest_API_VERSION')
    os.environ['V2Ray_MOCK_API_KEY'] = os.getenv('V2Ray_MOCK_API_KEY')
    os.environ['V2Ray_MOCK_API_VERSION'] = os.getenv('V2Ray_MOCK_API_VERSION')
    os.environ['V2Ray_GPT_API_KEY'] = os.getenv('V2Ray_GPT_API_KEY')
    os.environ['V2Ray_GPT_API_VERSION'] = os.getenv('V2Ray_GPT_API_VERSION')
    os.environ['V2Ray_GPT_EPOCH'] = os.getenv('V2Ray_GPT_EPOCH')
    os.environ['V2Ray_GPT_BOM_SIZE'] = os.getenv('V2Ray_GPT_BOM_SIZE')
    os.environ['V2Ray_GPT_TORCH'] = os.getenv('V2Ray_GPT_TORCH')
    os.environ['V2Ray_GPT_EPOCH_SIZE'] = os.getenv('V2Ray_GPT_EPOCH_SIZE')
    os.environ['V2Ray_GPT_MIN_workers'] = os.getenv('V2Ray_GPT_MIN_workers')
    os.environ['V2Ray_GPT_MAX_workers'] = os.getenv('V2Ray_GPT_MAX_workers')
    os.environ['V2Ray_GPT_MAE_EPOCH'] = os.getenv('V2Ray_GPT_MAE_EPOCH')
    os.environ['V2Ray_GPT_MAE_BOM_SIZE'] = os.getenv('V2Ray_GPT_MAE_BOM_SIZE')
    os.environ['V2Ray_GPT_MAE_TORCH'] = os.getenv('V2Ray_GPT_MAE_TORCH')
    os.environ['V2Ray_GPT_MAE_EPOCH_SIZE'] = os.getenv('V2Ray_GPT_MAE_EPOCH_SIZE')
    os.environ['V2Ray_GPT_MAE_MIN_workers'] = os.getenv('V2Ray_GPT_MAE_MIN_workers')
    os.environ['V2Ray_GPT_MAE_MAX_workers'] = os.getenv('V2Ray_GPT_MAE_MAX_workers')
    # 检查环境变量是否正确
    if not os.environ['V2Ray_API_KEY']:
        raise ValueError("V2Ray_API_KEY 必须设置")
    # 验证 API 声明
    if not hasattr(requests, '__module__'):
        raise ImportError("requests 模块缺失，请确保安装了 requests 库")
    requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
               headers={'Authorization': f'Bearer {os.environ['V2Ray_API_KEY']}'},
               json={'body': json.dumps({})})
    # 检查 API 答应头
    res = requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
                      headers={'Authorization': f'Bearer {os.environ['V2Ray_API_KEY']}'},
                      stream=True)
    expected_content_length = 16 * (1 * 2 + 1)
    if len(res.content) != expected_content_length:
        raise ValueError("API 应应头长度不正确")
    with open(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 'rb') as f:
        f.write(res.content)
    # 检查 API 读取参数
    res = requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
                      headers={'Authorization': f'Bearer {os.environ['V2Ray_API_KEY']}'},
                      stream=True)
    params = json.loads(res.content.decode())
    if not params['data']['text'] == 'hello world':
        raise ValueError("text字段不正确")
    # 检查 API 读取图像
    res = requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
                      headers={'Authorization': f'Bearer {os.environ['V2Ray_API_KEY']}'},
                      stream=True)
    params = json.loads(res.content.decode())
    if not params['data']['images'] == []:
        raise ValueError("images字段为空")
    # 检查 API 读取模型
    res = requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
                      headers={'Authorization': f'Bearer {os.environ['V2Ray_API_KEY']}'},
                      stream=True)
    params = json.loads(res.content.decode())
    if not params['data']['model'] == 'gpt-3.5-turbo':
        raise ValueError("model字段不正确")
    # 检查 API 读取文档
    res = requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
                      headers={'Authorization': f'Bearer {os.environ['V2Ray_API_KEY']}'},
                      stream=True)
    params = json.loads(res.content.decode())
    if not params['data']['docs'] == []:
        raise ValueError("docs字段为空")
    # 检查 API 读取模型参数
    res = requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
                      headers={'Authorization': f'Bearer {os.environ['V2Ray_API_KEY']}'},
                      stream=True)
    params = json.loads(res.content.decode())
    if not params['data']['params'] == '{"temperature":.7}':
        raise ValueError("params字段不正确")
# 定义一个函数来验证配置文件
def setup_v2ray():
    import os
    import json
    import time
    import requests
    # 检查 API 声明
    if not hasattr(requests, '__module__'):
        raise ImportError("requests 模块缺失，请确保安装了 requests 库")
    requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
               headers={'Authorization': os.environ['V2Ray_API_KEY']},
               stream=True)
    # 检查 API 应应头长度
    expected_content_length = 16 * (1 * 2 + 1)
    if len(requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
                       headers={'Authorization': os.environ['V2Ray_API_KEY']}, 
                       stream=True)) != expected_content_length:
        raise ValueError("API 应应头长度不正确")
    # 检查 API 读取参数
    res = requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
                      headers={'Authorization': os.environ['V2Ray_API_KEY']},
                      stream=True)
    params = json.loads(res.content.decode())
    if not params['data']['text'] == 'hello world':
        raise ValueError("text字段不正确")
    # 检查 API 读取图像
    res = requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
                      headers={'Authorization': os.environ['V2Ray_API_KEY']},
                      stream=True)
    params = json.loads(res.content.decode())
    if not params['data']['images'] == []:
        raise ValueError("images字段为空")
    # 检查 API 读取模型
    res = requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
                      headers={'Authorization': os.environ['V2Ray_API_KEY']},
                      stream=True)
    params = json.loads(res.content.decode())
    if not params['data']['model'] == 'gpt-3.5-turbo':
        raise ValueError("model字段不正确")
    # 检查 API 读取文档
    res = requests.get(os.environ['V2Ray_API_BASE_URL'] + f'/v2ray/api/v2.json', 
                      headers={'Authorization': os.environ['V2Ray_API_KEY']},
                      stream=True)
    params = json.loads(res.content.decode())
    if not params['data

V2Ray配置文件列表