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Typed, simple and readable regexp generation

Project description

Many people complain about unreadable and complex syntax of regular expressions.
Many others complain about how they can't remember all constructs and features.

rgx solves those problems: it is a straightforward regexp builder. It also places non-capturing groups where needed to respect intended operator priority.
It can produce a regular expression string to use in re.compile or any other regex library of your choice.

In other words, with rgx you can build a regular expression from parts, using straightforward and simple expressions.

Installation

pip install rgx

That's it.

Basic usage

Hello, regex world

from rgx import pattern, meta
import re

separator = meta.WHITESPACE.some() + (meta.WHITESPACE | ",") + meta.WHITESPACE.some()

# matches "hello world", "hello, world", "hello            world", "hello,world", "hello ,  world"
hello_world = pattern((
    "hello",
    separator,
    "world"
)) # (?:hello(?:\s)*(?:\s|,)(?:\s)*world)

re.compile(
    hello_world.render_str("i") # global flag (case-insensitive)
)

Match some integers

this regex will match valid Python integer literals:

from rgx import pattern
import re

nonzero = pattern("1").to("9") # [1-9]
zero = "0"
digit = zero | nonzero # [0-9]
integer = zero | (nonzero + digit.some()) # 0|[1-9][0-9]*

int_regex = re.compile(str(integer))

...or this one:

from rgx import pattern, meta
import re

nonzero = pattern("1").to("9") # [1-9]
digit = meta.DIGIT # \d
integer = digit | (nonzero + digit.some()) # \d|[1-9]\d*

int_regex = re.compile(str(integer))

Quickstart

in this readme, x means some pattern object. Occasionaly, y is introduced to mean some other pattern object (or literal)

Literals and pattern objects

rgx operates mostly on so-called "pattern objects" — rgx.entities.RegexPattern istances.
Your starting point would be rgx.pattern — it creates pattern objects from literals (and from pattern objects, which doesn't make a lot of sense).

  • rgx.pattern(str, escape: bool = True) creates a literal pattern — one that exactly matches given string. If you want to disable escaping, pass escape=False
  • rgx.pattern(tuple[AnyRegexPattern]) creates a non-capturing group of patterns (nested literals will be converted too)
  • rgx.pattern(list[str]) creates a character class (for example, rgx.pattern(["a", "b", "c"]) creates pattern [abc], that matches any character of those in brackets)
    • Same can be achieved by rgx.pattern("a").to("c") or rgx.pattern("a") | "b" | "c"

Most operations with pattern objects support using Python literals on one side, for example: rgx.pattern("a") | b would produce [ab] pattern object (specifically, rgx.entities.Chars)

Rendering patterns

from rgx import pattern

x = pattern("one")
y = pattern("two")
p = x | y

rendered_with_str = str(p) # "one|two"
rendered_with_method = p.render_str() # "one|two"
rendered_with_method_flags = p.render_str("im") # (?im)one|two

Capturing Groups

from rgx import pattern, reference, named

x = pattern("x")

print(x.capture()) # (x)

print(reference(1)) # \1


named_x = x.named("some_x") # x.named(name: str)

print(named_x) # (?P<some_x>x)

named_x_reference = named("some_x")

print(named_x_reference) # (?P=x)

To create a capturing group, use x.capture(), or rgx.reference(group: int) for a reference.
To create a named capturing group, use rgx.named(name: str, x), or rgx.named(name: str) for a named reference.

Character classes

from rgx import pattern, meta


az = pattern("a").to("z") # rgx.Chars.to(other: str | Literal | Chars)
print(az) # [a-z]

digits_or_space = pattern(["1", "2", "3", meta.WHITESPACE]) 
print(digits_or_space) # [123\s]

print(az | digits_or_space) # [a-z123\s]


print( # rgx.Chars.reverse(self)
    (az | digits_or_space).reverse() # [^a-z123\s]
)

Excluding characters

If you have two instances of Chars (or compatible literals), you can exclude one from another:

from rgx import pattern

letters = pattern("a").to("z") | pattern("A").to("Z") # [A-Za-z]
vowels = pattern(list("aAeEiIoOuU")) # [AEIOUaeiou]
consonants = letters.exclude(vowels) # [BCDFGHJ-NP-TV-Zbcdfghj-np-tv-z]

Conditional pattern

from rgx import pattern, conditional

x = pattern("x")
y = pattern("y")
z = pattern("z")

capture = x.capture()

# (x)(?(1)y|z)
print(
    capture + conditional(1, y, z)
)

Repeating patterns

If you need to match a repeating pattern, you can use pattern.repeat(count, lazy):

a = pattern("a")

a.repeat(5)                      # a{5}
# or
a * 5                            # a{5}, multiplication is an alias for .repeat

a.repeat(5).or_more()            # a{5,}
a.repeat(5).or_less()            # a{,5}

a.repeat_from(4).to(5)           # a{4, 5}, .repeat_from is just an alias for .repeat
# or
a.repeat(4) >> 5                 # a{4, 5}

a.repeat(1).or_less()            # a?
# or
-a.repeat(1)                     # a?
# or
a.maybe()                        # a?

a.repeat(1).or_more()            # a+
# or
+a.repeat(1)                     # a+
# or
+a                               # a+
# or
a.many()                         # a+

a.repeat(0).or_more()            # a*
# or
+a.repeat(0)                     # a*
# or
a.some()                         # a*
# or (what)
+-(a * 38)                       # a*

Here's what's going on:
pattern.repeat(count, lazy) returns a {count, count} Range object
pattern * count is the same as pattern.repeat(count, False)

Range implements or_more, or_less and to methods:

  • Range.or_more() [or +Range] moves (on a copy) upper bound of range to infinity (actually None)
  • Range.or_less() [or -Range] moves (on a copy) lower bound of range to 0
  • Range.to(count) [or Range >> count (right shift)] replaces upper bound with given number

Also, RegexPattern implements unary plus (+pattern) as an alias for pattern.many()

Docs

Pattern methods

pattern.render_str(flags: str = '') -> str

Renders given pattern into a string with specified global flags.


pattern.set_flags(flags: str) -> LocalFlags

This method adds local flags to given pattern

x.flags("y") # "(?y:x)"

pattern.concat(other: AnyRegexPattern) -> Concat

Use to match one pattern and then another.

A.concat(B) is equivalent to A + B (works if either A or B is a RegexPart object, not a Python literal)

x.concat(y) # "xy"
x + y # "xy"

pattern.option(other: AnyRegexPattern) -> Chars | ReversedChars | Option

Use to match either one pattern or another.

A.option(B) is equivalent to A | B (if either A or B is a RegexPart object, not a Python literal)

x.option(y) # "x|y"
x | y # "x|y"

pattern.many(lazy: bool = False) -> Range

Use this for repeating patterns (one or more times)

When not lazy, matches as many times as possible, otherwise matches as few times as possible.

x.many() # "x+"
x.many(True) # "x+?"

pattern.some(lazy: bool = False) -> Range

Use this for repeating optional patterns (zero or more times)

When not lazy, matches as many times as possible, otherwise matches as few times as possible.

x.some() # "x*"
x.some(True) # "x*?"

pattern.maybe(lazy: bool = False) -> Range

Use this for optional patterns (zero or one times)

When not lazy, matches as many times as possible, otherwise matches as few times as possible.

x.maybe() # "x?"
x.maybe(True) # "x??"

pattern.x_or_less_times(count: int, lazy: bool = False) -> Range

Use this to match pattern x or less times (hence the name).

When not lazy, matches as many times as possible, otherwise matches as few times as possible.

x.x_or_less_times(5) # "x{,5}"
x.x_or_less_times(5, True) # "x{,5}?"

pattern.x_or_more_times(count: int, lazy: bool = False) -> Range

Use this to match pattern x or more times (hence the name).

When not lazy, matches as many times as possible, otherwise matches as few times as possible.

x.x_or_more_times(5) # "x{5,}"
x.x_or_more_times(5, True) # "x{5,}?"

pattern.x_times(count: int, lazy: bool = False) -> Range

Use this to match pattern exactly x times (hence the name).

When not lazy, matches as many times as possible, otherwise matches as few times as possible.

x.x_times(5) # "x{5}"
x.x_times(5, True) # "x{5}?"
x.repeat(5) # x{5}

pattern.between_x_y_times(min_count: int, max_count: int, lazy: bool = False) -> Range

Use this to match pattern between x and y times, inclusive (hence the name).

When not lazy, matches as many times as possible, otherwise matches as few times as possible.

x.between_x_y_times(5, 6) # "x{5,6}"
x.between_x_y_times(5, 6, True) # "x{5,6}?"

pattern.lookahead(other: RegexPattern) -> Concat

Use this to indicate that given pattern occurs before some another pattern (lookahead).

In other words, x.lookahead(y) matches a pattern x only if there is y after it

Lookahead pattern won't be captured.

x.lookahead(y) # x(?=y)
x.before(y) # x(?=y)

pattern.negative_lookahead(other) -> Concat

Use this to indicate that given pattern doesn't occur before some another pattern (negative lookahead).

In other words, x.negative_lookahead(y) matches a pattern x only if there is no y after it

Lookahead pattern won't be captured.

x.negative_lookahead(y) # x(?!y)
x.not_before(y) # x(?!y)

pattern.lookbehind(other: RegexPattern) -> Concat

Use this to indicate that given pattern occurs after some another pattern (lookbehind).

In other words, x.lookbehind(y) matches a pattern x only if there is y before it

Lookbehind pattern won't be captured.

x.lookbehind(y) # (?<=y)x
x.after(y) # (?<=y)x

pattern.negative_lookbehind(other) -> Concat

Use this to indicate that given pattern goes before some another pattern (negative lookbehind).

In other words, x.negative_lookbehind(y) matches a pattern x only if there is NO y before it

Lookbehind pattern won't be captured.

x.negative_lookbehind(y) # (?<!y)x
x.not_after(y) # (?<!y)x

pattern.capture() -> Group

Use this to make a capturing group out of pattern.

x.capture() # (x)

Meta

rgx.meta is a collection of different meta-sequences and anchors:

meta.WORD_CHAR = UnescapedLiteral(r"\w")
meta.NON_WORD_CHAR = UnescapedLiteral(r"\W")
meta.DIGIT = UnescapedLiteral(r"\d")
meta.NON_DIGIT = UnescapedLiteral(r"\D")
meta.WHITESPACE = UnescapedLiteral(r"\s")
meta.NON_WHITESPACE = UnescapedLiteral(r"\S")
meta.WORD_BOUNDARY = UnescapedLiteral(r"\b")
meta.NON_WORD_BOUNDARY = UnescapedLiteral(r"\B")
meta.ANY = UnescapedLiteral(".")
meta.NEWLINE = UnescapedLiteral(r"\n")
meta.CARRIAGE_RETURN = UnescapedLiteral(r"\r")
meta.TAB = UnescapedLiteral(r"\t")
meta.NULL_CHAR = UnescapedLiteral(r"\0")
meta.STRING_START = UnescapedLiteral("^")
meta.STRING_END = UnescapedLiteral("$")

Also rgx.meta.CHAR_ESCAPE(char_number: int) is available:

from rgx import meta

print(meta.CHAR_ESCAPE(32)) # \x20
print(meta.CHAR_ESCAPE(320)) # \u0140
print(meta.CHAR_ESCAPE(320000)) # \U0004e200

Unicode meta

rgx.unicode_meta is a collection of functions and constants, mostly for \p and \P usage:

Functions:

unicode_meta.PROPERTY(value: str) # renders into `\p{value}` (any character with property specified by value, e.g. `PROPERTY("Ll") -> \p{Ll}`)
unicode_meta.PROPERTY_INVERSE(value: str) # matches all characters *not* matched by corresponding `PROPERTY` (`\P{value}`)

unicode_meta.NAMED_PROPERTY(name: str, value: str) # renders into `\p{name=value}` and matches any character which property `name` equals `value`
unicode_meta.NAMED_PROPERTY_INVERSE(name: str, value: str) # same, but inverted (`\P{name=value}`)

Constants:

unicode_meta.LETTER = PROPERTY("L")
unicode_meta.NON_LETTER = PROPERTY_INVERSE("L")

unicode_meta.WHITESPACE = PROPERTY("Z")
unicode_meta.NON_WHITESPACE = PROPERTY_INVERSE("Z")

unicode_meta.DIGIT = PROPERTY("Nd")
unicode_meta.NON_DIGIT = PROPERTY("Nd")

Extending

You can extend generation by subclassing one of the classes of rgx.entities module.
The one neccessary method to provide is .render(self). It should return an iterable of strings (e.g. ["something"]).
Built-in components (and this section) are using generators for that purpose, but you're free to choose whatever works for you. For example, if you want to render a PCRE accept control verb - (*ACCEPT), you can do it like this:

from rgx.entities import RegexPattern, Concat
from rgx import pattern
from typing import Iterable


class Accept(RegexPattern):
    def render(self) -> Iterable[str]:
        yield "(*ACCEPT)"


def accept(self) -> Concat:
    return self + Accept()


RegexPattern.accept = accept

x = pattern("something").accept() 
print(x) # something(*ACCEPT)

Or like this:

from rgx.entities import RegexPattern, Concat
from rgx import pattern
from typing import Iterable


class Accept(RegexPattern):
    def __init__(self, accepted_pattern: RegexPattern):
        self.accepted_pattern = accepted_pattern

    def render(self) -> Iterable[str]:
        yield from accepted_pattern.render()
        yield "(*ACCEPT)"


def accept(self) -> Concat:
    return Accept(self)

RegexPattern.accept = accept

x = pattern("something").accept() # something(*ACCEPT)

Priority

If your extension has to rely on some priority, you can use respect_priority function.
Let's say you want to add a x/y operation, which does something (wow) and has prority between a|b and ab — so a|b/cd is the same as a|(?:b/(?:cd)).

from rgx.entities import RegexPattern, Concat, Option, AnyRegexPattern, respect_priority, pattern
from typing import Iterable

class MagicSlash(RegexPattern):
    priority = (Concat.priority + Option.priority) // 2 # let's take something in the middle

    def __init__(self, left: RegexPattern, right: RegexPattern):
        self.left = respect_priority(left, self.priority) # you need to wrap all parts of your expression in respect_priority() 
        self.right = respect_priority(right, self.priority) # ...and pass your expression priority as a second argument

    def render(self) -> Iterable[str]:
        yield from self.left.render()
        yield "/"
        yield from self.right.render()


def slash(self, other: AnyRegexPattern) -> MagicSlash: # AnyRegexPattern is either a RegexPattern instance or a Python literal
    return MagicSlash(self, other) # respect_priority already takes literals in consideration, so no extra actions needed

def rslash(self, other: AnyRegexPattern) -> MagicSlash: # other/self
    other = pattern(other)
    return other / self


RegexPattern.slash = slash
RegexPattern.__truediv__ = slash # / operator
RegexPattern.__rtruediv__ = rslash


a = pattern("a")
b = pattern("b")
c = pattern("c")
d = pattern("d")

print(
    (a | b) / (c + d) # [ab]/cd
)

print(
    ((a | b) / c) + d # (?:[ab]/c)d
)

print(
    a | (b / c) + d   # a|(?:b/c)d
)

Common questions

Difference between (x, y) and x + y

Previous examples used () and +, and the difference might not be so obvious.

  • x + y creates a concatenation of patterns (rgx.entities.Concat), with no extra characters apart from those of patterns

  • x + y can be used only if at least one of the operands is a pattern object (that is, created with one of rgx functions or is one of rgx constants)

  • x + y produces a pattern object itself, so you won't need to call pattern on it to call pattern methods

  • pattern((x, y)) creates a non-capturing group (rgx.entities.NonCapturingGroup): pattern((x, y)).render_str() -> (?:xy)

  • (x, y) can be used with any pattern-like literals or pattern objects

  • (x, y) is a tuple literal, so you can't use pattern methods on it directly or convert it into a complete expression (you need to use rgx.pattern on it first)

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