Skip to main content

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

Project description

What's new in 0.0.4-beta?

  • Added keywords
  • Added classifiers (Like operating system, language, etc.)
  • Added "beta" to version name

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-0.0.4.2b0.tar.gz (2.7 kB view details)

Uploaded Source

Built Distribution

datasifter-0.0.4.2b0-py3-none-any.whl (2.9 kB view details)

Uploaded Python 3

File details

Details for the file datasifter-0.0.4.2b0.tar.gz.

File metadata

  • Download URL: datasifter-0.0.4.2b0.tar.gz
  • Upload date:
  • Size: 2.7 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-0.0.4.2b0.tar.gz
Algorithm Hash digest
SHA256 809ea918abd81165c3e092414066911d0df7c26eb0a9db944f0b908d0445705f
MD5 2768370d0201223a842c369c9dee571a
BLAKE2b-256 914653b883df68b020d997a9b4618b5e34359c27ce61cb6d33af9c006dea0690

See more details on using hashes here.

File details

Details for the file datasifter-0.0.4.2b0-py3-none-any.whl.

File metadata

  • Download URL: datasifter-0.0.4.2b0-py3-none-any.whl
  • Upload date:
  • Size: 2.9 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-0.0.4.2b0-py3-none-any.whl
Algorithm Hash digest
SHA256 4aba1657b32e225596734b66b03c380d4c7da9c2b82e733ae9de424f2ef115d0
MD5 62f9198238fc3d93fa16cab4140d3e4a
BLAKE2b-256 4667ad055cbe5e3a363b1c0faa6a475ba34f38c1d62a4f591409412e77a1e098

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