读取代码如下: importyamlwithopen('config.yaml',encoding="utf-8")asfile:config=yaml.safe_load(file)# 读取配置项的值print(config) 方便起见,直接截了config的结果,如下图,可以看到这里的bool、str、int、dict格式都是我们想要的,这个貌似比第一种方式要直接一点。 debug后config的数值及其数据类型 具体使用...
CONFIG_PATH = "./config/" def load_config(config_name): with open(os.path.join(CONFIG_PATH, config_name)) as file: config = yaml.safe_load(file) return config config = load_config("rf_config.yaml") df = pd.read_csv(os.path.join(config["data_directory"], config["data_name"]))...
1 import openai 2 import yaml 3 import os 4 import uuid 5 from qdrant_client import QdrantClient, models 6 7 # Load configuration from config.yaml 8 with open("config.yaml", "r") as file: 9 config = yaml.safe_load(file) 10 11 # Extract API keys and URLs from the config 12 qdra...
创建一个 YAML 配置文件 database:host:localhostport:5432username:userpassword:passapi:key:YOUR_API_KEY 1. 2. 3. 4. 5. 6. 7. 8. 使用PyYAML读取 YAML 文件 importyaml# 读取 YAML 配置文件withopen('config.yaml','r')asf:config=yaml.safe_load(f)# 访问配置项db_host=config['database']['...
:param config_file: 配置文件的路径 """self.config_file=config_file self.config_data=self.load_config()# 调用加载配置的方法defload_config(self):""" 读取配置文件并解析成字典 :return: 解析后的配置字典 """withopen(self.config_file,'r')asfile:# 打开配置文件returnyaml.safe_load(file)# 使用...
def serial_monitor(config_file): """ Start and run the CLI application with configuration from a YAML file. Parameters --- config_file : str Path to the configuration file. """ # Load the configuration with open(config_file, 'r') as file: try: config_data = yaml.safe_load(file) ...
import yaml import api class Config: def __init__(self, context_dict={}) -> None: self.config_dict = {} with open('configs/config.yaml', encoding='utf-8') as f: self.config_dict = yaml.safe_load(f) api_config = self.config_dict.get('API', {}) base_url = api_config.get...
conf_opts= yaml.safe_load(conf_file.read())or{} #读取配置文件的属性和值exceptyaml.YAMLError as err: log.error('Error parsing configuration file: {0} - {1}'.format(path, err) ) conf_opts={}#only interpret documents as a valid conf, not things like strings,#which might have been ...
yaml config = yaml.safe_load(f.read()) with open('logging.yaml', 浏览0提问于2019-01-04得票数 0 回答已采纳 1回答 如果logging.config.dictConfig()不影响现有的记录器,那么它有什么意义呢? 、 如b.py中所示,使用logging.Logger提供的API配置记录器将配置现有的记录器。如a.py所示,使用logging....
@propertydefdata(self):#_data只能在本类中调用#如果是第一次调用data,读取yaml文档,否则直接返回之前保存的数据ifnotself._data: with open(self.yamlf,'rb') as f: self._data= list(yaml.safe_load_all(f))#load后是个generator,用list组织成列表returnself._dataclassSheetTypeError(Exception):passclas...