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

Cleaning your messy data.

Getting started

Consider cleaning up some messy data. Here is a deep nested dictionary containing lots of unnecessary nesting and tuple.

some_messy_data = {
    "body": {
        "article": {
             "articlesbody": {
                 "articlesmeta": {
                     "articles_meta_3": "Monty Python",
                 }
             }
        },
    },
    "published": {
        "datetime": ("2014-11-05", "23:00:00"),
    }
}

Values you want are 'Monty Python' and '2014-11-05', should be named 'title' and 'published_date'

Now let the hack begin with the dripper.

  • Defile declaration dictionary
  • Create dripper object by dripper.dripper_factory
  • Drip essential data
# Define
 declaration = {
    "title": ("body", "article", "articlesbody", "articlesmeta", "articles_meta_3"),
    "published_date": ("published", "datetime", 0)
}

# Create
import dripper
d = dripper.dripper_factory(declaration)

# And drip
dripped = d(some_messy_data)

assert dripped == {
    "title": "Monty Python",
    "published_date": "2014-11-05",
}

Installation

Just use pip to install

pip install dripper

Requirements

dripper won’t require any kind of outer libraries. Supporting Python versions are:

  • Python 2.7
  • Python 3.3
  • Python 3.4
  • Python 3.5

Basics

Above example is not all features of dripper. It is created to handle various data to clean up.

As value

from dripper import dripper_factory
declaration = {
    "title": ("meta", "meta1")
})
d = dripper_factory(declaration)
d({"meta": {"meta1": "Monty Python"}}) == {"title": "Monty Python"}

Also you can specify string or integer directly. It is as same as one-element tuple.

from dripper import dripper_factory
declaration = {
    "title": "meta"
})
d = dripper_factory(declaration)
d({"meta": "Monty Python"}) == {"title": "Monty Python"}

As dict

dripper can define nested dictionary. Just pass nested dictionary to dripper_factory.

from dripper import dripper_factory
declaration = {
    "article": {
        "title": ["meta", "meta1"],
    }
})
d = dripper_factory(declaration)
d({
    "meta": {
        "meta1": "Monty Python",
    },
}) == {
    "article": {
        "title": "Monty Python",
    }
}

You can apply '__source_root__' to set root path for dripping.

declaration = {
    "article": {
        "__source_root__": ("body", "meta"),
...
        "title": "meta1",
        "author": ("meta2", "meta22"),
    }
})
d = dripper_factory(declaration)
d({
    "body": {
        "meta": {
            "meta1": "Monty Python",
            "meta2": {"meta22": "John Due"}
        }
    }
}) == {
    "article": {
        "title": "Monty Python",
        "author": "John Due",
    }
}

Technically, outermost dictionary of declaration is as same as inner dictionaries. So you can specify '__source_root__' the dictionary.

As list

dripper can define list of dictionaries. You need to apply '__type__': 'list'.

from dripper import dripper_factory
declaration = {
    "articles": {
        "__type__": "list",
        "__source_root__": "articles",
...
        "title": "meta1",
        "author": ["meta2", "meta22"],
    }
})
d = dripper_factory(declaration)
d({
    "articles": [
        {"meta1": "Monty Python", "meta2": {"meta22": "John Doe"}},
        {"meta1": "Flying Circus", "meta2": {"meta22": "Jane Doe"}},
    ]
}) == {
    "articles": [
        {"title": "Monty Python", "author": "John Doe"},
        {"title": "Flying Circus", "author": "Jane Doe"},
    ]
}

Advanced

Converting

Use dripper.ValueDripper to pass converter function.

import dripper
declaration = {
    "title": dripper.ValueDripper(["title"], converter=lambda s: s.lower())
}
d = dripper.dripper_factory(declaration)
d({"title": "TITLE"}) == {"title": "title"}

Technically, each ends (list) will be replaced by instance of dripper.ValueDripper.

default value

Specify default keyword argument to change default value. None will be applied as default.

import dripper
declaration = {
    "title": dripper.ValueDripper(["title"], default="default")
}
d = dripper.dripper_factory(declaration)
d({}) == {"title": "default"}

Technically, each ends (list) will be replaced by instance of dripper.ValueDripper.

Combining

By combining dripper.ValueDripper, result value of that key will be combined.

import dripper
declaration = {
    "fullname": (dripper.ValueDripper(["firstname"]) +
                 dripper.ValueDripper(["lastname"]))
}
d = dripper.dripper_factory(declaration)
d({"firstname": "Hrioki", "lastname": "Kiyohara"}) == {"fullname": "HriokiKiyohara"}

CHANGES

1.1

  • None is default value of ValueDripper
    • Before this change ValueDripper without default keyword argument will raise DrippingError
    • In order to this behavior DictDripper will return empty dict when inner value dripper could not dig out values
    • Thanks for @bungoume to suggest this behavior

1.0

  • Officially supported Python 3.5

0.3.1

  • ValueDripper now accepts default argument.

0.3

  • Fixed to accept string or integer directly as source_root.

0.2

  • Improved error handling.
  • Added MixDripper.

0.1

  • Initial version
Release History

Release History

1.1

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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1.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.3.1

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.3

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.2

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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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
dripper-1.1.tar.gz (5.4 kB) Copy SHA256 Checksum SHA256 Source Jan 13, 2016

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