Skip to main content

A module that simplifies working with conditions through filtering. For example: determining whether a text is a link

Reason this release was yanked:

Adding the beta label to the version name

Project description

What's new in 0.0.3?

  • Added license (Read in file "LICENSE")
  • Fixed bug with incorrect version of module "typing"

DataSifter - Add filters to your code

With the DataSifter module, you can use filters for your conditions in your code.

Without using DataSifter:

import re

text = "Hello Python!"

if bool(re.match(r"^((https?|ftp|file)://)?(www\.)?([-A-Za-z0-9+&@#/%?=~_|!:,.;]*)$", text, re.IGNORECASE)):
    print("Text is link")
else:
    print("Text isn't link")

👎 Why write long RegExp patterns, if you can:

Using DataSifter:

import DataSifter as ds

text = "pypi.org"

if ds.is_url(text):
    print("Text is link")
else:
    print("Text isn't link)

All possible filters and what is specified in them:

is_url(
    text: str
) -> bool

contains(
    text: str,
    what_contains: str | dict
) -> bool

regexp_matches(
    text: str,
    pattern: str,
    ignore_case: bool = True
) -> bool

in_range(
    value: int,
    minimum: int,
    maximum: int
) -> bool

length(
    value: str | int,
    length: int
) -> bool

length_is(
    value: str | int,
    length: int,
    condition: str #(Constant from Module)
) -> bool

Constants

1. EQUALS (==)
2. LOWER (<)
3. GREATER (>)
4. LOWER_OR_EQUALS (<=)
5. GREATER_OR_EQUALS (>=)
6. NOT_EQUALS (!=)

Example of work with constants:

import DataSifter as ds

text = "Hello Python!"

if ds.length_is(text, 5, GREATER_OR_EQUALS):
    print("Text greater or equals then 5")
else:
    print("Text lower then 5")

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datasifter-0.0.3.tar.gz (5.0 kB view details)

Uploaded Source

Built Distribution

datasifter-0.0.3-py3-none-any.whl (5.5 kB view details)

Uploaded Python 3

File details

Details for the file datasifter-0.0.3.tar.gz.

File metadata

  • Download URL: datasifter-0.0.3.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.4 Windows/10

File hashes

Hashes for datasifter-0.0.3.tar.gz
Algorithm Hash digest
SHA256 602bf2d778084e00cf3f37c28ce08ec178bb891061405ff539c878de8bf9ffab
MD5 499a87154ec455ae87aef0adc0c483c2
BLAKE2b-256 9bdc98b8d6a9babb4cc81507293f1ee886f4e97c0641686d5e26c8867101bb19

See more details on using hashes here.

File details

Details for the file datasifter-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: datasifter-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 5.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.4 Windows/10

File hashes

Hashes for datasifter-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 6c956d1ee995428587ed89c6dfd7a98bca73b2c59005b1d857f533480d9bcf59
MD5 744f6d0d4895fd9fa6a06b7963117614
BLAKE2b-256 f677d804d43dd8fed5b5570e3b0209e9fd42068acd70d92cd658906a2cca3321

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page