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  1. # encoding:utf-8
  2. import json
  3. import logging
  4. import os
  5. from common.log import logger
  6. # 将所有可用的配置项写在字典里, 请使用小写字母
  7. available_setting = {
  8. # openai api配置
  9. "open_ai_api_key": "", # openai api key
  10. # openai apibase,当use_azure_chatgpt为true时,需要设置对应的api base
  11. "open_ai_api_base": "https://api.openai.com/v1",
  12. "proxy": "", # openai使用的代理
  13. # chatgpt模型, 当use_azure_chatgpt为true时,其名称为Azure上model deployment名称
  14. "model": "gpt-3.5-turbo",
  15. "use_azure_chatgpt": False, # 是否使用azure的chatgpt
  16. # Bot触发配置
  17. "single_chat_prefix": ["bot", "@bot"], # 私聊时文本需要包含该前缀才能触发机器人回复
  18. "single_chat_reply_prefix": "[bot] ", # 私聊时自动回复的前缀,用于区分真人
  19. "group_chat_prefix": ["@bot"], # 群聊时包含该前缀则会触发机器人回复
  20. "group_chat_reply_prefix": "", # 群聊时自动回复的前缀
  21. "group_chat_keyword": [], # 群聊时包含该关键词则会触发机器人回复
  22. "group_at_off": False, # 是否关闭群聊时@bot的触发
  23. "group_name_white_list": ["ChatGPT测试群", "ChatGPT测试群2"], # 开启自动回复的群名称列表
  24. "group_name_keyword_white_list": [], # 开启自动回复的群名称关键词列表
  25. "group_chat_in_one_session": ["ChatGPT测试群"], # 支持会话上下文共享的群名称
  26. "trigger_by_self": False, # 是否允许机器人触发
  27. "image_create_prefix": ["画", "看", "找"], # 开启图片回复的前缀
  28. "concurrency_in_session": 1, # 同一会话最多有多少条消息在处理中,大于1可能乱序
  29. # chatgpt会话参数
  30. "expires_in_seconds": 3600, # 无操作会话的过期时间
  31. "character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题,并且可以使用多种语言与人交流。", # 人格描述
  32. "conversation_max_tokens": 1000, # 支持上下文记忆的最多字符数
  33. # chatgpt限流配置
  34. "rate_limit_chatgpt": 20, # chatgpt的调用频率限制
  35. "rate_limit_dalle": 50, # openai dalle的调用频率限制
  36. # chatgpt api参数 参考https://platform.openai.com/docs/api-reference/chat/create
  37. "temperature": 0.9,
  38. "top_p": 1,
  39. "frequency_penalty": 0,
  40. "presence_penalty": 0,
  41. "request_timeout": 30, # chatgpt请求超时时间
  42. # 语音设置
  43. "speech_recognition": False, # 是否开启语音识别
  44. "group_speech_recognition": False, # 是否开启群组语音识别
  45. "voice_reply_voice": False, # 是否使用语音回复语音,需要设置对应语音合成引擎的api key
  46. "always_reply_voice": False, # 是否一直使用语音回复
  47. "voice_to_text": "openai", # 语音识别引擎,支持openai,google,azure
  48. "text_to_voice": "baidu", # 语音合成引擎,支持baidu,google,pytts(offline),azure
  49. # baidu 语音api配置, 使用百度语音识别和语音合成时需要
  50. "baidu_app_id": "",
  51. "baidu_api_key": "",
  52. "baidu_secret_key": "",
  53. # 1536普通话(支持简单的英文识别) 1737英语 1637粤语 1837四川话 1936普通话远场
  54. "baidu_dev_pid": "1536",
  55. # azure 语音api配置, 使用azure语音识别和语音合成时需要
  56. "azure_voice_api_key": "",
  57. "azure_voice_region": "japaneast",
  58. # 服务时间限制,目前支持itchat
  59. "chat_time_module": False, # 是否开启服务时间限制
  60. "chat_start_time": "00:00", # 服务开始时间
  61. "chat_stop_time": "24:00", # 服务结束时间
  62. # itchat的配置
  63. "hot_reload": False, # 是否开启热重载
  64. # wechaty的配置
  65. "wechaty_puppet_service_token": "", # wechaty的token
  66. # chatgpt指令自定义触发词
  67. "clear_memory_commands": ['#清除记忆'], # 重置会话指令,必须以#开头
  68. # channel配置
  69. "channel_type": "wx", # 通道类型,支持wx,wxy和terminal
  70. "debug": False, # 是否开启debug模式,开启后会打印更多日志
  71. }
  72. class Config(dict):
  73. def __getitem__(self, key):
  74. if key not in available_setting:
  75. raise Exception("key {} not in available_setting".format(key))
  76. return super().__getitem__(key)
  77. def __setitem__(self, key, value):
  78. if key not in available_setting:
  79. raise Exception("key {} not in available_setting".format(key))
  80. return super().__setitem__(key, value)
  81. def get(self, key, default=None):
  82. try:
  83. return self[key]
  84. except KeyError as e:
  85. return default
  86. except Exception as e:
  87. raise e
  88. config = Config()
  89. def load_config():
  90. global config
  91. config_path = "./config.json"
  92. if not os.path.exists(config_path):
  93. logger.info('配置文件不存在,将使用config-template.json模板')
  94. config_path = "./config-template.json"
  95. config_str = read_file(config_path)
  96. logger.debug("[INIT] config str: {}".format(config_str))
  97. # 将json字符串反序列化为dict类型
  98. config = Config(json.loads(config_str))
  99. # override config with environment variables.
  100. # Some online deployment platforms (e.g. Railway) deploy project from github directly. So you shouldn't put your secrets like api key in a config file, instead use environment variables to override the default config.
  101. for name, value in os.environ.items():
  102. name = name.lower()
  103. if name in available_setting:
  104. logger.info(
  105. "[INIT] override config by environ args: {}={}".format(name, value))
  106. try:
  107. config[name] = eval(value)
  108. except:
  109. if value == "false":
  110. config[name] = False
  111. elif value == "true":
  112. config[name] = True
  113. else:
  114. config[name] = value
  115. if config.get("debug", False):
  116. logger.setLevel(logging.DEBUG)
  117. logger.debug("[INIT] set log level to DEBUG")
  118. logger.info("[INIT] load config: {}".format(config))
  119. def get_root():
  120. return os.path.dirname(os.path.abspath(__file__))
  121. def read_file(path):
  122. with open(path, mode='r', encoding='utf-8') as f:
  123. return f.read()
  124. def conf():
  125. return config