filters

Filters

The Filters library provides an easy and readable way to create complex data validation and processing pipelines, including:

Validating complex JSON structures in API requests or config files.
Parsing timestamps and converting to UTC.
Converting Unicode strings to NFC, normalizing line endings and removing unprintable characters.
Decoding Base64, including URL-safe variants.

And much more!

The output from one filter can be “piped” into the input of another, enabling you to “chain” filters together to quickly and easily create complex data pipelines.

Examples

Validate a latitude position and round to manageable precision:

(
    f.Required
  | f.Decimal
  | f.Min(Decimal(-90))
  | f.Max(Decimal(90))
  | f.Round(to_nearest='0.000001')
).apply('-12.0431842')

Parse an incoming value as a datetime, convert to UTC and strip tzinfo:

f.Datetime(naive=True).apply('2015-04-08T15:11:22-05:00')

Convert every value in an iterable (e.g., list) to unicode and strip leading/trailing whitespace. This also applies Unicode normalization, strips unprintable characters and normalizes line endings automatically.

f.FilterRepeater(f.Unicode | f.Strip).apply([
  b'\xe2\x99\xaa ',
  b'\xe2\x94\x8f(\xc2\xb0.\xc2\xb0)\xe2\x94\x9b ',
  b'\xe2\x94\x97(\xc2\xb0.\xc2\xb0)\xe2\x94\x93 ',
  b'\xe2\x99\xaa ',
])

Parse a JSON string and check that it has correct structure:

(
    f.JsonDecode
  | f.FilterMapper(
      {
        'birthday':  f.Date,
        'gender':    f.CaseFold | f.Choice(choices={'m', 'f', 'x'}),

        'utcOffset':
            f.Decimal
          | f.Min(Decimal('-15'))
          | f.Max(Decimal('+15'))
          | f.Round(to_nearest='0.25'),
      },

      allow_extra_keys   = False,
      allow_missing_keys = False,
    )
).apply('{"birthday":"1879-03-14", "gender":"M", "utcOffset":"1"}')

Requirements

Filters is compatible with Python versions 3.6, 3.5 and 2.7.

Installation

Install the latest stable version via pip:

pip install filters

Extensions

The following extensions are available:

Django Filters: Adds filters designed to work with Django applications. To install:
```
pip install filters[django]
```
ISO Filters: Adds filters for interpreting standard codes and identifiers. To install:
```
pip install filters[iso]
```

Metadata

Release files for filters 1.3.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for filters 1.3.2
File	Size	Uploaded
filters-1.3.2.tar.gz	57.6 kB	Oct 12, 2017	Details

Built distribution (wheel)

Table of built distributions (wheels) for filters 1.3.2
File	Interpreter	ABI	Platform	Reset
filters-1.3.2-py2.py3-none-any.whl 37.1 kB Oct 12, 2017	Python 3, Python 2	none	any	Details

Total release size: 94.7 kB

Release files / filters-1.3.2.tar.gz

Download URL	filters-1.3.2.tar.gz
Size	57.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`b74fad6a7885f1380dd12fde0f849e8c5e459919ce314f76c2352064c7a30796`
BLAKE2b-256 checksum How to use checksums	`537808fb3baa3ff3cd3833866ae13de7871b702fe3fcd8ea9c49c8493de74572`
Upload date	Oct 12, 2017
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / filters-1.3.2-py2.py3-none-any.whl

Download URL	filters-1.3.2-py2.py3-none-any.whl
Size	37.1 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`248150dfd768f9211f4c897696f3f4c370697e0f19b9c1f85577a27495b18496`
BLAKE2b-256 checksum How to use checksums	`3ebd8d307686d7b058f5e0c51d5f188a438259a670ec0d5f8ebda7ebe9b447af`
Upload date	Oct 12, 2017
Uploaded using Trusted Publishing? What is trusted publishing?	No