A module that simplifies working with conditions through filtering. For example: determining whether a text is a link
Project description
What's new in 0.0.5?
- Minor code optimization
- Clearer tooltips with code examples
- 3 new filters: "file_is(), is_bad_words(), and is_request()"
- There's a logo
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
file_is(
file: str, # Path to file
format: str # Format without point, like "png"
) -> bool
is_bad_words(
text: str,
language_code: str = "eng" # Available: "rus", "eng"
)
is_request(
url: str
)
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")
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