4. 工具集¶
4.1. 配置管理¶
读取项目根目录下，或者当前目录下的配置文件，默认文件名为 cfg.yaml ，可传入 file_name 改变，目前支持解析的配置文件类型有 .ini 、.yaml 、.cfg 、.conf
4.1.1. yaml解析¶
例如cfg.yaml配置文件内容如下:
db:
pithy_db:
host: 127.0.0.1
port: 3306
username: user
password: 111111
使用方法如下:
from pithy import config_manager
config = config_manager()
print(config.db)
print(config.db.pithy_db)
4.1.2. ini解析¶
例如cfg.ini配置文件内容如下:
[pithy_db]
host = 127.0.0.1
port = 5432
username = postgres
password = postgres
使用方法如下:
from pithy import config_manager
config = config_manager(file_name='cfg.ini')
print(config.db.pithy_db)
conf和cfg格式与ini使用方法一致
4.2. 日期处理¶
4.2.1. 取当前时间¶
from pithy import HumanDateTime
print(HumanDateTime())
4.2.2. 解析时间戳¶
解析任何有效的时间戳:
from pithy import HumanDateTime
# 解析时间戳
print(repr(HumanDateTime(1490842267)))
print(HumanDateTime(1490842267000))
print(HumanDateTime(1490842267.11111))
print(HumanDateTime(1490842267111.01))
4.2.3. 解析字符串格式日期¶
解析常见字符串格式日期或时间:
from pithy import HumanDateTime
# 解析字符串格式日期
print(HumanDateTime('2017-02-02'))
print(HumanDateTime('Thu Mar 30 14:21:20 2017'))
print(HumanDateTime(time.ctime()))
print(HumanDateTime('2017-3-3'))
print(HumanDateTime('3/3/2016'))
print(HumanDateTime('2017-02-02 00:00:00'))
4.2.4. 解析datetime或date类型时间¶
from pithy import HumanDateTime
# 解析datetime或date类型时间
print(HumanDateTime(datetime(year=2018, month=11, day=30, hour=11)))
print(HumanDateTime(date(year=2018, month=11, day=30)))
4.2.5. 增加减少时间¶
from pithy import HumanDateTime
# 增加减少时间
print(HumanDateTime('2017-02-02').add_day(1))
print(HumanDateTime('2017-02-02').sub_day(1))
print(HumanDateTime('2017-02-02').add_hour(1))
print(HumanDateTime('2017-02-02').sub_hour(1))
print(HumanDateTime('2017-02-02').add(days=1, hours=1, weeks=1, minutes=1, seconds=6))
print(HumanDateTime('2017-02-02').sub(days=1, hours=1, weeks=1, minutes=1, seconds=6))
4.2.6. 转换为时间戳¶
把任何格式的时间类型转换为时间戳:
from pithy import HumanDateTime
# 转换为时间戳
print(HumanDateTime(1490842267.11111).timestamp_second)
print(HumanDateTime(1490842267.11111).timestamp_microsecond)
print(HumanDateTime('2017-02-02 12:12:12.1111').add_day(1).timestamp_microsecond)
print(HumanDateTime('2017-02-02 12:12:12 1111').add_day(1).timestamp_microsecond)
4.2.7. 比较大小¶
比较任何两个日期类型数据的大小:
from pithy import HumanDateTime
# 比较大小
print(HumanDateTime('2017-02-02 12:12:12 1111') < HumanDateTime('2017-02-02 12:12:11 1111'))
print(HumanDateTime('2017-02-02 12:12:12 1111') < HumanDateTime('2017-02-02 12:13:11 1111'))
print(HumanDateTime('2017-02-02 12:12:12 1111') < '2017-02-02 12:11:11')
print(HumanDateTime('2017-02-02 12:12:12 1111') < '2017-02-02 12:13:11 1111')
print(HumanDateTime('2017-02-02 12:12:12 1111') == '2017-02-02 12:13:11 1111')
print(HumanDateTime('2017-02-02 12:12:12 1111') == '2017-02-02 12:13:12 1111')
print(HumanDateTime('2017-02-02 12:12:12 1111') <= '2017-02-02 12:13:11 1111')
print(HumanDateTime('2017-02-02 12:12:12 1111') >= '2017-02-02 12:13:11 1111')
print(HumanDateTime('2017-02-02 12:12:12 1111') != time.time())
print(HumanDateTime('2017-02-02 12:12:12 1111') <= time.time())
print(HumanDateTime('2017-02-02 12:12:12 1111') >= time.time())
# 约等于或者接近
print(HumanDateTime('2017-02-02 12:12:12 1111').approach('2017-02-02 12:12:11 1111'))
print(HumanDateTime('2017-02-02 12:12:12 1111').approach('2017-02-02 12:12:10 1111'))
print(HumanDateTime('2017-02-02 12:12:12 1111').approach('2017-02-02 12:12:10 1111', offset=2))
print(HumanDateTime('2017-02-02 12:12:12 1111').approach('2017-02-02 12:12:14 1111', offset=2))
4.2.8. 调用datetime的方法和属性¶
from pithy import HumanDateTime
# 调用datetime的方法和属性
print(HumanDateTime('2017-02-02 12:12:12 1111').day)
print(HumanDateTime('2017-02-02 12:12:12 1111').year)
print(HumanDateTime('2017-02-02 12:12:12 1111').second)
print(HumanDateTime('2017-02-02 12:12:12 1111').date())
4.3. 操作复杂JSON或字典¶
优化JSON字符串和字典的取值方式，输入为python字典或者json字符串，可以通过点号或者 object path 对结果取值
4.3.1. 操作JSON的KEY¶
from pithy import JSONProcessor
dict_data = {'a': 1, 'b': {'a': [1, 2, 3, 4]}}
json_data = json.dumps(dict_data)
result = JSONProcessor(json_data)
print result.a # 结果：1
print result.b.a # 结果：[1, 2, 3, 4]
4.3.2. 操作字典的KEY¶
from pithy import JSONProcessor
dict_data = {'a': 1, 'b': {'a': [1, 2, 3, 4]}}
result = JSONProcessor(dict_data)
print result.a # 1
print result.b.a # [1, 2, 3, 4]
4.3.3. object path取值¶
这里使用的object path的取值方式,详细语法见:http://objectpath.org/reference.html
from pithy import JSONProcessor
raw_dict = {
'key1':{
'key2':{
'key3': [1, 2, 3, 4, 5, 6, 7, 8]
}
}
}
jp = JSONProcessor(raw_dict)
for i in jp('$..key3[@>3]'):
print i
结果是:
4
5
6
7
8
4.3.4. 其它用法¶
dict_1 = {'a': 'a'}
json_1 = '{"b": "b"}'
jp = JSONProcessor(dict_1, json_1, c='c')
print(jp)
输出为:
{
"a": "a",
"b": "b",
"c": "c"
}
4.4. 美化JSON打印¶
该函数是格式化打印 JSON 或 字典 ，并对JSON中的unicode或utf-8字符进行转换
使用方法如下:
from pithy import pretty_print
d = {
"args": {
"name": "鱼鱼"
},
"headers": {
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
"Accept-Encoding": "gzip, deflate, sdch",
"Accept-Language": "zh-CN,zh;q=0.8,en;q=0.6,zh-TW;q=0.4",
"Connection": "close",
"Cookie": "_gauges_unique_day=1; _gauges_unique_month=1; _gauges_unique_year=1; _gauges_unique=1",
"Dnt": "1",
"Host": "httpbin.org",
"Upgrade-Insecure-Requests": "1",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36"
},
"origin": "157.119.234.165",
"url": "http://httpbin.org/get"
}
print(d)
print('\n\n)
pretty_print(d) # 该处也可以传入JSON字符串
输出结果为:
{'origin': '157.119.234.165', 'headers': {'Dnt': '1', 'Connection': 'close', 'Accept-Language': 'zh-CN,zh;q=0.8,en;q=0.6,zh-TW;q=0.4', 'Accept-Encoding': 'gzip, deflate, sdch', 'Cookie': '_gauges_unique_day=1; _gauges_unique_month=1; _gauges_unique_year=1; _gauges_unique=1', 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36', 'Host': 'httpbin.org', 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8', 'Upgrade-Insecure-Requests': '1'}, 'args': {'name': '\xe9\xb1\xbc\xe9\xb1\xbc'}, 'url': 'http://httpbin.org/get'}
{
"args": {
"name": "鱼鱼"
},
"headers": {
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
"Accept-Encoding": "gzip, deflate, sdch",
"Accept-Language": "zh-CN,zh;q=0.8,en;q=0.6,zh-TW;q=0.4",
"Connection": "close",
"Cookie": "_gauges_unique_day=1; _gauges_unique_month=1; _gauges_unique_year=1; _gauges_unique=1",
"Dnt": "1",
"Host": "httpbin.org",
"Upgrade-Insecure-Requests": "1",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36"
},
"origin": "157.119.234.165",
"url": "http://httpbin.org/get"
}