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Apache-2.0

#social-credits-py

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date_extractor:从字符串中取时间

所有方法都返回datetime.datetime 对象,如果没找到,返回None,下面是例子

from scpy.date_extractor import extract_chinese_date,format_date_str,extract_first_date

中文日期

test_1 = u'我是测试字符串网二〇一五年七月十五日中国共产'
print extract_chinese_date(test_1)

从字符串中取各种时间

test_2 = u'2014年12月23日法范德萨'
print extract_first_date(test_2)

主要格式化数字不是两位和时间缺失或部分缺失,分隔符需要是'-' 和':'如果不是请使用test_2

test_3 = '2015-9-7'
print format_date_str(test_3)

###url请求封装

  • RequestUtil 一个全局的requestUtil ,默认会使用同一个request.session来发送请求

from scpy.request_util import RequestUtil

proxy_config = {
        'ip':u'代理库存放ip',
        'port':27017,   
        'db':u'代理库名',
        'collection':u'代理collection',
    }

request_util = RequestUtil(proxy_config) #proxy_config 缺失,则不使用代理
request_util.make_request(url)    #默认为get请求默认isproxy=False 不使用代理

xawesome_time: 时间格式化

#####功能: 格式化时间字符串为标准格式

  • 标准格式:

    "现在是2012-10-02 02:01:01"将返回2012-10-02 02:01:01

  • 普通格式:

    "现在是2012-10-02"将返回2012-10-02 00:00:00 "现在是2012年10月02日"将返回2012-10-02 00:00:00 "现在是2012年10月02日13时27分4秒"将返回2012-10-02 03:27:04 ......

  • 中文格式(仅支持到日,时分秒中文格式暂不支持,由于实际意义不大,可预见的将来也不会支持):

    "现在是二〇一五年十二月二十五日"将返回2015-12-25 00:00:00

  • 时间表达式:

    "3天后" 将返回距离调用时间三天之后的时间的字符串表示 同理,可支持: "2年前", "1个季度之后", "5天以前", "3小时后", ...

#####用法:

from scpy import xawsome_time

xawsome_time.parse_time(TIME_STR)
  • 参数:

    time_str: [str, unicode] 时间字符串 convert_2_time_obj: [bool] True => 转换为对象 | False => 转换为字符串 | default value: False


xawesome_mail: 发送邮件

#####功能: 发送提醒邮件邮件

注意: 应用场景为程序运行过程中的提醒邮件,不可用于大量发送邮件的场景。

#####用法:

from scpy import xawsome_mail

xawsome_mail.send_mail('中文主题', u'中文正文', ['xu.du@socialcredits.cn'], sender_nickname='发信人')
  • 参数:
    subject    : 邮件主题
    content    : 邮件正文
    mailto_list: 邮件接收者列表
    file_path  : 附件路径(没有则为空)
    kwargs: 关键字参数(ATT: 后面三个参数必须同时制定或者同时不指定):
                sender_nickname : 发件人昵称
                sender_mail_addr: 定制发件人邮件地址
                sender_mail_pass: 定制发件人邮箱密码
                sender_mail_host: 定制发件人邮箱服务器

xawesome_location: 位置相关服务

#####用法:

from scpy.xawesome_location import parse_location

parse_location(u'杭州誉存科技有限公司')

>>> {"province": "浙江", "cityShortName": "杭州", "cityName": "杭州市", "id": "3301"}
  • 参数: company_name : 公司全称
  • 返回: {"id": "地区编号", "cityName": u"城市全称", "province": u"省份", "cityShortName": "城市简称"}

xawesome_codechecker

测试函数运行时间 @timeit

from scpy.xawesome_codechecker import timeit
@timeit
def func():
    pass

>>>func()
function [func] start at [2015-11-03 15:04:49]
function [func] exit  at [2015-11-03 15:04:49]
function [func] coast [0.0350475311279ms]

控制函数不抛出异常 @no_exception

  • 有时候不希望代码在某一句停下,但每句代码 try-catch 又很难看,可以使用 @no_exception 控制函数在遇到异常时返回某默认值。

获取程序运行的主机信息

  • 程序可能运行在开发机/测试机/线上或其他环境,在发警告邮件时不容易区分来自哪里,可使用get_user()获取当前运行程序的用户名, get_ip()获取本机IP, get_runner()获取类似user@host格式的信息。

xawesome_util

  • 建议通过这里导入BeautifulSoup,会自动检测并使用系统已安装的html parser。
  • url 编码解码工具。

kv_helper: JSON变换 & 键值处理服务

#####用法: get_hierachical_kv(content, key_list, default={}):

  • content: 用来操作的json字典,必须
  • key_list: 查询的key的序列,必须
  • default: 查不到或查到最后一层的值为[]|{}|None时返回的默认值,非必须
from scpy.kv_helper import get_hierachical_kv
tmp_dict = {'a1':{'b1':{'c1':[], 'c2':'天空'}}}

get_hierachical_kv(tmp_dict, ['a1', 'b1', 'c1'], 'my_default_value')
>>> my_default_value

get_hierachical_kv(tmp_dict, ['a1', 'b1', 'c2'], 'my_default_value')
>>> 天空

get_hierachical_kv(tmp_dict, ['a1', 'b1', 'c2', 'd1'], {'key':'name', 'value':None})
>>> {'key':'name', 'value':None}

set_hierachical_kv(content, key_list, value):

  • content: 用来操作的json字典,必须
  • key_list: 查询的key的序列,必须
  • value: 赋值内容,必须
from scpy.kv_helper import set_hierachical_kv
tmp_dict = {}

set_hierachical_kv(tmp_dict, ['a1', 'b1'], 'lalala')
>>> {'a1': {'b1': 'lalala'}}

set_hierachical_kv(tmp_dict, ['a1', 'b2'], 'apple')
>>> {'a1': {'b1': 'lalala', 'b2': 'apple'}}

set_hierachical_kv(tmp_dict, ['a1', 'b2', 'c1'], 'banana')
>>> {'a1': {'b1': 'lalala', 'b2': {'c1': 'banana'}}}

set_hierachical_kv(tmp_dict, ['a1'], ['orange', 'barry'])
>>> {'a1': ['orange', 'barry']}

trans_json(json_data, encoding='unicode'):

  • json_data: 需要统一转化编码的json数据(泛指广义json, 包含dict|list|数值|字符串)
  • encoding: 需要转化成的编码类型, 默认unicode,
    • 支持utf-8|gb18030|gb2312|gbk|big5
    • 实测中big5转化偶尔会因字符无法对应而报错, json中造成报错的部分会以None作为对应值返回
from scpy.kv_helper import trans_json

json_data = {'key1': '我是utf-8编码', 'key2': {'utf-8键3':3.14, u'unicode键4':[u'我是unicode', '我是utf-8'], 5:None}}
trans_json(json_data, encoding='unicode')
>>> {u'key1': u'\u6211\u662futf-8\u7f16\u7801',
 u'key2': {5: None,
  u'unicode\u952e4': [u'\u6211\u662funicode', u'\u6211\u662futf-8'],
  u'utf-8\u952e3': 3.14}}

trans_json(json_data, encoding='utf-8')
>>> {'key1': '\xe6\x88\x91\xe6\x98\xafutf-8\xe7\xbc\x96\xe7\xa0\x81',
 'key2': {5: None,
  'unicode\xe9\x94\xae4': ['\xe6\x88\x91\xe6\x98\xafunicode',
   '\xe6\x88\x91\xe6\x98\xafutf-8'],
  'utf-8\xe9\x94\xae3': 3.14}}

reduce_by_key(pair_list):

  • pair_list: list of (key,value) pairs
    • key, 任意类型
    • value, 对应同一个key的所有value必须是可加的,即同为字符类型或同为数值类型
from scpy.kv_helper import reduce_by_key

pair_list = [('a', 1), ('a', 3.2), ('b', 'str1'), ('b', 'str2')]
reduce_by_key(pair_list)
>>> [('a', 4.2), ('b', 'str1str2')]

group_by_key(pair_list):

  • pair_list: list of (key,value) pairs
    • key, 任意类型
    • value, 任意类型
from scpy.kv_helper import group_by_key

pair_list = [('a', 1), ('a', 3.2), ('a', [u'我不合群']), ('b', 'str1'), ('b', 'str2'), ('b', 3.2)]
group_by_key(pair_list)
>>> [('a', [1, 3.2, [u'\u6211\u4e0d\u5408\u7fa4']]), ('b', ['str1', 'str2', 3.2])]
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