PyYaml简单介绍
- Python的PyYAML模块是Python的YAML解析器和生成器
- 它有个版本分水岭，就是5.1
读取YAML5.1之前的读取方法
def read_yaml(self, path): with open(path, encoding="utf-8") as f: result = f.read() result = yaml.load(result) return result
当你运行的时候，会报一个Warning
读取YAML 5.1之后的读取方法
因为在5.1之后，直接用load()已经过时了，需要在方法里面加一个 loader 的请求参数，如下：
def read_yaml(self, path): with open(path, encoding="utf-8") as f: result = f.read() result = yaml.load(result, Loader=yaml.FullLoader) #loader可选择BaseLoader、SafeLoader、FullLoader、UnsafeLoader return result
也可以，根据Python语法糖转换，如下：
def read_yaml(self, path): with open(path, encoding="utf-8") as f: result = f.read() result = yaml.full_load(result) return result
针对不同的需要，加载器有如下几种类型：
- BaseLoader：仅加载最基本的YAML
- SafeLoader：安全地加载YAML语言的子集。建议用于加载不受信任的输入。（safe_load）
- FullLoader：加载完整的YAML语言。避免任意代码执行。这是当前（PyYAML 5.1）默认加载器调用 yaml.load(input) （发出警告后）（full_load）
- UnsafeLoader（也称为
Loader向后兼容性）：原始的Loader代码，可以通过不受信任的数据输入轻松利用。（unsafe_load）
存储数据到YAML的方法
with open(path, "w", encoding="utf-8") as f: yaml.dump(data, f, Dumper=yaml.SafeDumper) # 可选BaseDumper、SafeDumper
封装成一个操作YAML的工具类
class YamlUtil: __instance = None def __new__(cls, *args, **kwargs): if not cls.__instance: print("YamlUtil first init") cls.__instance = super(YamlUtil, cls).__new__(cls, *args, **kwargs) return cls.__instance def read_yaml(self, path): with open(path, encoding="utf-8") as f: result = f.read() result = yaml.load(result, Loader=yaml.FullLoader) return result def write_yaml(self, path, data): with open(path, "w", encoding="utf-8") as f: yaml.dump(data, f, Dumper=yaml.SafeDumper) yamlUtil = YamlUtil()
