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config.py
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config.py
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import configparser
import os
current_path = os.path.dirname(__file__)
if not os.path.exists(os.path.join(current_path, 'config.ini')):
with open(os.path.join(current_path, 'config_example.ini'), "rb") as source_file:
with open(os.path.join(current_path, 'config.ini'), "wb") as target_file:
target_file.write(source_file.read())
class Config:
_config = configparser.ConfigParser()
api_base: str
api_key: str
model: str
max_tokens: int
temperature: float
top_p: float
use_web_search: bool
system: str # 系统设定
_current_path = os.path.dirname(__file__)
_token_cost_path = os.path.join(_current_path, 'token_cost.json')
def __init__(self):
self.load_config()
def load_config(self):
self._config.read(os.path.join(self._current_path, 'config.ini'), encoding='utf-8')
def _float(self, value):
try:
return float(value)
except ValueError:
return 0.0
def _int(self, value):
try:
return int(value)
except ValueError:
return 0
class zhipu_Config(Config):
def __init__(self):
super().__init__()
self.api_key = self._config.get('zhipu', 'api_key')
self.model = self._config.get('zhipu','model')
self.max_tokens = self._int(self._config.get('zhipu','max_tokens'))
self.temperature = self._float(self._config.get('zhipu', 'temperature', fallback=0.9))
self.top_p = self._float(self._config.get('zhipu', 'top_p', fallback=0.7))
self.system = self._config.get('zhipu','system')
self.use_web_search = self._config.getboolean('zhipu', 'use_web_search', fallback=True)
class azure_openai_Config(Config):
def __init__(self):
super().__init__()
self.api_end_point = self._config.get('azure_openai', 'api_end_point')
self.deply_name = self._config.get('azure_openai', 'deply_name')
self.api_version = self._config.get('azure_openai', 'api_version')
self.api_key = self._config.get('azure_openai', 'api_key')
self.max_tokens = self._int(self._config.get('azure_openai','max_tokens'))
self.temperature = self._float(self._config.get('azure_openai', 'temperature', fallback=0.9))
self.top_p = self._float(self._config.get('azure_openai', 'top_p', fallback=0.7))
self.system = self._config.get('azure_openai','system')
class bianxieai_openai_Config(Config):
def __init__(self):
super().__init__()
self.api_base = self._config.get('bianxieai_openai', 'api_base')
self.api_key = self._config.get('bianxieai_openai', 'api_key')
class ernie_Config(Config):
def __init__(self):
super().__init__()
self.free_model = self._config.get('ernie','free_model')
self.model = self._config.get('ernie','model')
self.api_key = self._config.get('ernie', 'api_key')
self.secret_key = self._config.get('ernie','secret_key')
self.auth_method = self._config.get('ernie', 'auth_method')
self.client_id = self.api_key
self.client_secret = self.secret_key
self.temperature = self._float(self._config.get('ernie', 'temperature', fallback=0.95))
self.top_p = self._float(self._config.get('ernie', 'top_p', fallback=0.7))
self.penalty_score = self._float(self._config.get('ernie', 'penalty_score', fallback=1))
self.max_tokens = self._int(self._config.get('ernie','max_output_tokens'))
self.max_output_tokens = self.max_tokens
self.system = self._config.get('ernie','system')
self.enable_citation = self._config.getboolean('ernie', 'enable_citation')
self.enable_trace = self._config.getboolean('ernie', 'enable_trace')
class spark_Config(Config):
def __init__(self):
super().__init__()
self.api_base = self._config.get('spark', 'url')
self.url = self.api_base
self.domain = self._config.get('spark', 'domain')
self.appid = self._config.get('spark', 'appid')
self.api_secret = self._config.get('spark', 'api_secret')
self.api_key = self._config.get('spark', 'api_key')
self.temperature = self._float(self._config.get('spark', 'temperature', fallback=0.9))
self.max_tokens = self._int(self._config.get('spark','max_tokens'))
self.top_k = self._int(self._config.get('spark', 'top_k'))
self.system = self._config.get('spark','system')
class qwen_Config(Config):
def __init__(self):
super().__init__()
self.api_key = self._config.get('qwen', 'api_key')
self.model = self._config.get('qwen','model')
self.model_search = self._config.get('qwen','model_search')
self.max_tokens = self._int(self._config.get('qwen','max_tokens'))
self.url = self._config.get('qwen', 'url')
self.top_p = self._float(self._config.get('qwen', 'top_p'))
self.temperature = self._float(self._config.get('qwen', 'temperature'))
self.system = self._config.get('qwen','system')
if __name__ == '__main__':
config = spark_Config()
print(bool(config.system))