This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description

Tested in Python2.7, Python3.4.

callit

You can do:

from __future__ import print_function

print('x', 'y', sep=',')

But I can not do:

from __future__ import print_function

parameters = ('x', 'y', sep=',')
print(parameters)

With callit, I can do similar thing:

from __future__ import print_function
from yxpy.callit import CallIt

parameters = CallIt('x', 'y', sep=',')
parameters(print)

Sometimes, you may use Parameters(similar to CallIt):

from __future__ import print_function
from yxpy.callit import Parameters

parameters = Parameters('x', 'y', sep=',')
parameters(format)

dotit

Usually, dictionary can be used like this:

d = dict(a=1)
d['b'] = 2
x = d['a'] + d['b']

The members in dictionary can only be accessed by [], But in some other languages(eg. javascript), they can be access by .:

d.b = 2
x = d.a + d.b

With dotit, you can do same thing in similar manner, dotit provide thress class to do it.

DotDict:

from dotit import DotDict
d = DotDict(a=1)
d.b = 2
x = d.a + d.b

DotOrderedDict, inherit from collections.OrderedDict:

...     # similar to DotDict

DotIt, if you already have a dict like object, you can wrapper with DotIt:

d = dict(a=1, b=2)
...
d = DotIt(d)
x = d.a + d.b

DotIt can also deal with nest dict:

d = dict(a=dict(aa=1, ab=2), b=2)
...
d = DotIt(d)
x = d.a.aa + d.a.ab

loadit

Load or reload python object

import module:

import loadit

load moudule:

mod = loadit.load_it('mymodule')

load function:

func = loadit.load_it('mymodule.func')

load class:

MyClass = loadit.load_it('mymodule.MyClass')

reload module:

new_mod = loadit.reload_it(mod)

reload function:

new_func = loadit.reload_it(func)

reload class:

NewMyClass = loadit.reload_it(MyClass)

yamlfile

load config from YAML file, add a include tag.

main.yaml:

a: !include a.yaml

a.yaml:

name: a

usage:

from yxpy import yamlfile

yamlfile.load('main.yaml')

logginghandlers

  • SocketHandler(host, port)
  • DatagramHandler(host, port)
  • RedisListHandler(list_name, list_maxsize=1024, host=’localhost’, port=6379, password=None)
  • RedisPublishHandler(self, channel, host=’localhost’, port=6379, password=None)

SocketHandler & DatagramHandler

logging package provide many Handlers, include SocketHandler and DatagramHandler, but the data transmit to server is packed as binary, this module privide simular handler to transmit plain text to server.

example:

socket_handler = SocketHandler(host, port)
...
datagram_handler = DatagramHandler(host, port)
...

RedisListHandler & RedisPublishHandler

use Redis as log server, the two handler is just privide a singleway to redis server. to keep simple, the handlers does check the response of redis.

example:

handler = RedisListHandler(list_name=’logtest’, list_maxsize=100, password=’test’) … handler = RedisPublishHandler(channel=’logtest’, password=’test’) …

Changes

0.1.5(2014-10-11)

  • refactoring: import statement in reloadit

0.1.3(2014-09-26)

  • DotIt support nest dict.

0.1.2(2014-09-26)

  • add dotit: include DotIt, DotDict, DotOrderedDict

0.1.1(2014-09-19)

  • add logginghandlers: - SocketHandler - DatagramHandler - RedisListHandler - RedisPublishHandler

0.1.0(2014-09-18)

  • callit
  • loadit
  • yamlfile
Release History

Release History

0.1.5

This version

History Node

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Changelog content for this version goes here.

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0.1.4

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0.1.2

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0.1.1

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
yxpy-0.1.5.zip (10.1 kB) Copy SHA256 Checksum SHA256 Source Oct 11, 2014

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