YAML python

https://www.jianshu.com/p/3d078059021d
https://blog.csdn.net/lmj19851117/article/details/78843486/
1、load(): 返回一个对象
我们先创建一个yml文件，config.yml:

name: Tom Smith
age: 37
spouse:
    name: Jane Smith
    age: 25
children:
 - name: Jimmy Smith
   age: 15
 - name1: Jenny Smith
   age1: 12

读取yml文件：

import yaml
f = open(r'E:\AutomaticTest\Test_Framework\config\config.yml')
y = yaml.load(f)
print (y)

结果：

{'name': 'Tom Smith', 'age': 37, 'spouse': {'name': 'Jane Smith', 'age': 25}, 'children': [{'name': 'Jimmy Smith', 'age': 15}, {'name1': 'Jenny Smith', 'age1': 12}]}• 1

2、load_all(): 返回一个迭代器
如果string或文件包含几块yaml文档，你可以使用yaml.load_all来解析全部的文档。

import yaml
f = '''
---
name: James
age: 20
---
name: Lily
age: 19
'''

y = yaml.load_all(f)
for data in y:
    print(data)

执行结果：

{'name': 'James', 'age': 20}
{'name': 'Lily', 'age': 19}

3、yaml.dump(): 将一个python对象生成为yaml文档

import yaml
aproject = {'name': 'Silenthand Olleander',
            'race': 'Human',
            'traits': ['ONE_HAND', 'ONE_EYE']
            }
print(yaml.dump(aproject, f))

执行结果：

name: Silenthand Olleander
race: Human
traits: [ONE_HAND, ONE_EYE]

yaml.dump接收的第二个参数一定要是一个打开的文本文件或二进制文件，yaml.dump会把生成的yaml文档写到文件里

import yaml
aproject = {'name': 'Silenthand Olleander',
            'race': 'Human',
            'traits': ['ONE_HAND', 'ONE_EYE']
            }
f = open(r'E:\AutomaticTest\Test_Framework\config\config.yml','w')
print(yaml.dump(aproject, f))

4、yaml.dump_all(): 将多个段输出到一个文件中

import yaml
obj1 = {"name": "James", "age": 20}
obj2 = ["Lily", 19]
with open(r'E:\AutomaticTest\Test_Framework\config\config.yml', 'w') as f:
    yaml.dump_all([obj1, obj2], f)

输出到文件：

{age: 20, name: James}
--- 
[Lily, 19]

5、yaml文件的持续写入

import yaml
inputdata={
    "url":'https://www.baidu.com/',
    "driver":['ie','chrome','firfox']
}

with open('source.yaml','a',encoding='utf-8') as f:      #'a'代表持续写入，‘w’代表覆盖写入
    yaml.dump(inputdata, f)
print('well done')