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Minimal, super readable string pattern matching for python.
import simplematch
simplematch.match("He* {planet}!", "Hello World!")
>>> {"planet": "World"}
simplematch.match("It* {temp:float}°C *", "It's -10.2°C outside!")
>>> {"temp": -10.2}
pip install simplematch
(Or just drop the simplematch.py
file in your project.)
simplematch
has only two syntax elements:
*
{name}
Capture groups can be named ({name}
), unnamed ({}
) and typed ({name:float}
).
The following types are available:
int
float
email
url
ipv4
ipv6
bitcoin
ssn
(social security number)ccard
(matches Visa, MasterCard, American Express, Diners Club, Discover, JCB)For now, only named capture groups can be typed.
Then use one of these functions:
import simplematch
simplematch.match(pattern, string) # -> returns a `dict` on match, `None` otherwise.
simplematch.test(pattern, string) # -> returns `True` on match, `False` otherwise.
Or use a Matcher
object:
import simplematch as sm
matcher = sm.Matcher(pattern)
matcher.match(string) # -> returns a dict or None
matcher.test(string) # -> returns True / False
matcher.regex # -> shows the generated regex
import simplematch as sm
# extracting data
sm.match(
pattern="Invoice_*_{year}_{month}_{day}.pdf",
string="Invoice_RE2321_2021_01_15.pdf")
>>> {"year": "2021", "month": "01", "day": "15"}
# test match only
sm.test("ABC-{value:int}", "ABC-13")
>>> True
import simplematch as sm
matcher = sm.Matcher("{year:int}-{month:int}: {value:float}")
# extracting data
matcher.match("2021-01: -12.786")
>>> {"year": 2021, "month": 1, "value": -12.786}
# month is no integer -> no match and return `None`.
matcher.match("2021-AB: Hello")
>>> None
# no extraction, only test for match
matcher.test("1234-01: 123.123")
>>> True
# show generated regular expression
matcher.regex
>>> '^(?P<year>[+-]?[0-9]+)\\-(?P<month>[+-]?[0-9]+):\\ (?P<value>[+-]?(?:[0-9]*[.])?[0-9]+)$'
# show registered converters
matcher.converters
>>> {'year': <class 'int'>, 'month': <class 'int'>, 'value': <class 'float'>}
You can register your own types to be available for the {name:type}
matching syntax
with the register_type
function.
simplematch.register_type(name, regex, converter=str)
name
is the name to use in the matching syntaxregex
is a regular expression to match your typeconverter
is a callable to convert a match (str
by default)Register a smiley
type to detect smileys (:)
, :(
, :/
) and getting their moods:
import simplematch as sm
def mood_convert(smiley):
moods = {
":)": "good",
":(": "bad",
":/": "sceptic",
}
return moods.get(smiley, "unknown")
sm.register_type("smiley", r":[\)\(\/]", mood_convert)
sm.match("I'm feeling {mood:smiley} *", "I'm feeling :) today!")
>>> {"mood": "good"}
You can also install simplematch
for use as a CLI command e.g. using pipx
.
pipx install simplematch
usage: simplematch [-h] [--regex] pattern [strings ...]
positional arguments:
pattern A matching pattern
strings The string to match
options:
-h, --help show this help message and exit
--regex Show the generated regular expression
Extract a date from a specific file name:
simplematch "Invoice_*_{year}_{month}_{day}.pdf" "Invoice_RE2321_2021_01_15.pdf"
>>> {"year": "2021", "month": "01", "day": "15"}
simplematch
aims to fill a gap between parsing with str.split()
and regular
expressions. It should be as simple as possible, fast and stable.
The simplematch
syntax is transpiled to regular expressions under the hood, so
matching performance should be just as good.
I hope you get some good use out of this!
Contributions are welcome! Just submit a PR and maybe get in touch with me via email before big changes.
FAQs
Minimal, super readable string pattern matching.
We found that simplematch demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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