我是Python的新手。我有一个YAML文件,并且正在用Python文件访问它。在YAML文件中,有字段选项。在YAML文件中,用户可以使用值设置变量。 Python文件读取带有值的变量,然后将其添加到JSON文件。请注意,变量和值可以根据用户进行更改。
我怎样才能做到这一点?
这是示例代码:
import yaml
from datetime import datetime
import os
import json
#name for json file
name = "stack.json"
#load data from yml file
data = yaml.safe_load(open('stack.yml'))
data2 = data.get('heartbeat.monitors')
#Current time stamp
timestamp = datetime.now().strftime("%B %d %Y, %H:%M:%S")
#ip
ip ='192.168.1.1'
#getting data from the field and assign it to variable
for item in data2:
if item["type"] == "icmp":
fields_under_root = (item["fields_under_root"])
# if fields_under_root is true,code goes here
if fields_under_root == True:
fields = (item["fields"])
print(fields)
locals().update(fields)
#code to be entered
#if fields_under_root is false, code goes here
elif fields_under_root == False:
fields = (item["fields"])
print(fields)
#code to be entered
#For writing in JSON File
#Creates a JSON file if not exists
if not os.path.exists(name):
with open(name, 'w') as f:
f.write('{}')
#list for storing the values
result = [(timestamp, {'monitor.ip': ip,"fields": fields })]
#For writing in JSON File
with open(name, 'rb+') as f:
f.seek(-1, os.SEEK_END)
f.truncate()
for entry in result:
_entry = '"{}":{},\n'.format(entry[0], json.dumps(entry[1]))
_entry = _entry.encode()
f.write(_entry)
f.write('}'.encode('ascii'))
在YAML文件中:
heartbeat.monitors:
- type: icmp
fields:
a: steven
b: kumar
fields_under_root: True
我在JSON文件中的输出:
{"February 18 2019, 17:04:30":{"monitor.ip": "192.168.1.1", "fields": {"b": "kumar", "a": "steven"}},
}
如果fields_under_root
为True
,则为必需输出:
{"February 18 2019, 17:04:30":{"monitor.ip": "192.168.1.1", "b": "kumar", "a": "steven"},
}
如果fields_under_root
为False
,则为必需输出:
{"February 18 2019, 17:04:30":{"monitor.ip": "192.168.1.1", "fields.b": "kumar", "fields.a": "steven"},
}
答案 0 :(得分:1)
提供输入文件:
...
heartbeat.monitors:
- type: icmp
fields:
a: steven
b: kumar
# If this option is set to true, the custom fields are stored as top-level
# fields in the output document instead of being grouped under a fields
# sub-dictionary. Default is false.
fields_under_root: True
您的程序应该具有完成所有工作的功能,因此易于测试 通过更新输入文件来更新输入的两个版本。
import ruamel.yaml
from datetime import datetime
import os
import json
# name for json file
json_name = 'stack.json'
yaml_name = 'stack.yaml'
# Current time stamp
timestamp = datetime.now().strftime('%B %d %Y, %H:%M:%S')
def gen_output(data, json_filename):
ip = '192.168.1.1'
val = {'monitor.ip': ip}
result = dict(timestamp=val)
# getting data from the field and assign it to variable
for item in data:
if item['type'] == 'icmp':
fields = item.pop('fields')
if item['fields_under_root']:
val.update(fields)
else:
nf = {}
for k in fields:
nf['fields.' + k] = fields[k]
val.update(nf)
with open(json_filename, 'w') as fp:
json.dump(result, fp, ensure_ascii=False)
# load data from YAML file
yaml = ruamel.yaml.YAML(typ='safe')
with open('stack.yaml') as fp:
data = yaml.load(fp)
data2 = data.get('heartbeat.monitors')
gen_output(data2, json_name)
# show the output file
with open('stack.json') as fp:
print(fp.read())
print('---------')
# update the YAML input file
with open('stack.yaml') as fp:
yamlrt = ruamel.yaml.YAML() # default is round-trip, preserving comments
data = yaml.load(fp)
data['heartbeat.monitors'][0]['fields_under_root'] = False
with open(yaml_name, 'wb') as fp:
yamlrt.dump(data, fp)
with open('stack.yaml') as fp:
data = yaml.load(fp)
data2 = data.get('heartbeat.monitors')
gen_output(data2, json_name)
with open('stack.json') as fp:
print(fp.read())
给出:
{"timestamp": {"monitor.ip": "192.168.1.1", "a": "steven", "b": "kumar"}}
---------
{"timestamp": {"monitor.ip": "192.168.1.1", "fields.a": "steven", "fields.b": "kumar"}}
一般评论:
如果要使用== False
或== True
进行测试,则不要测试is
False
或is True
,但最好只测试变量{{1} }那
包含一个带有x
的布尔值,并且两者都不做,如果不是,则不做布尔值
if x:
是True
,因此请使用普通的False
不必麻烦输出JSON。无需截断,寻找 等等。只需确保您的数据格式正确,然后一次性转储。那 确保您的输出是有效的JSON。
不要添加说明明显的else:
在注释令牌#ip
后面添加一个空格,许多皮棉匠抱怨没有该标记
我在上面使用ruamel.yaml(免责声明:我是该软件包的作者),因为
PyYAML以编程方式更新您的YAML文件将丢失您的评论信息。
而且因为#
比PyYAML的YAML(typ='safe').load()
更快
(除了PyYAML仅支持过时的YAML 1.1)