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Parser combinator library for Python.

Project Description

The executable grammar of parsers combinators made available in the executable pseudocode of Python.


Parsita is a parser combinator library written in Python. Parser combinators provide an easy way to define a grammar using code so that the grammar itself effectively parses the source. They are not the fastest to parse, but they are the easiest to write. The science of parser combinators is best left to others, so I will demonstrate only the syntax of Parsita.

Like all good parser combinator libraries, this one abuses operators to provide a clean grammar-like syntax. The __or__ method is defined so that | tests between two alternatives. The __and__ method is defined so that & tests two parsers in sequence. Other operators are used as well.

In a technique that I think is new to Python, Parsita uses metaclass magic to allow for forward declarations of values. This is important for parser combinators because grammars are often recursive or mutually recursive, means that some components must be used in the definition of others before they themselves are defined.

Motivating example

Below is a complete parser of JSON. It could have be shorter if I chose to cheat with Python’s eval, but I wanted to show the full power of Parsita:

from parsita import *

json_whitespace = r'[ \t\n\r]*'

class JsonStringParsers(TextParsers, whitespace=None):
    quote = lit(r'\"') > (lambda _: '"')
    reverse_solidus = lit(r'\\') > (lambda _: '\\')
    solidus = lit(r'\/') > (lambda _: '/')
    backspace = lit(r'\b') > (lambda _: '\b')
    form_feed = lit(r'\f') > (lambda _: '\f')
    line_feed = lit(r'\n') > (lambda _: '\n')
    carriage_return = lit(r'\r') > (lambda _: '\r')
    tab = lit(r'\t') > (lambda _: '\t')
    uni = reg(r'\\u([0-9a-fA-F]{4})') > (lambda x: chr(int(, 16)))

    escaped = (quote | reverse_solidus | solidus | backspace | form_feed
               | line_feed | carriage_return | tab | uni)
    unescaped = reg(r'[\u0020-\u0021\u0023-\u005B\u005D-\U0010FFFF]+')

    string = '"' >> rep(escaped | unescaped) << '"' > ''.join

class JsonParsers(TextParsers, whitespace=json_whitespace):
    number = reg(r'-?(0|[1-9][0-9]*)(\.[0-9]+)?([eE][-+]?[0-9]+)?') > float

    false = lit('false') > (lambda _: False)
    true = lit('true') > (lambda _: True)
    null = lit('null') > (lambda _: None)

    string = reg(json_whitespace) >> JsonStringParsers.string

    array = '[' >> repsep(value, ',') << ']'

    entry = string << ':' & value
    obj = '{' >> repsep(entry, ',') << '}' > dict

    value = number | false | true | null | string | array | obj

if __name__ == '__main__':
    strings = [
        '[false, true, null]',
        '{"__class__" : "Point", "x" : 2.3, "y" : -1.6}',
        '{"__class__" : "Rectangle", "location" : {"x":-1.3,"y":-4.5}, "height" : 2.0, "width" : 4.0}'

    for string in strings:
        print('source: {}\nvalue: {}'.format(string, JsonParsers.value.parse(string)))


The recommended means of installation is with pip from PyPI.

pip install parsita

There is a lot of generic parsing machinery under the hood. Parser combinators have a rich science behind them. If you know all about that and want to do advanced parsing, by all means pop open the source hood and install some nitro. However, most users will want the basic interface, which is described below.

from parsita import *

Metaclass magic

GeneralParsers and TextParsers are two classes that are imported that are just wrappers around a couple of metaclasses. They are not meant to be instantiated. They are meant to be inherited from and their class bodies used to define a grammar. I am going to call these classes “contexts” to reflect their intended usage.

class MyParsers(TextParsers):

If you are parsing strings (and you almost certainly are), use TextParser not the other one. If you know what it means to parse things other than strings, you probably don’t need this tutorial anyway. The TextParser ignores whitespace. By default it considers r"\s*" to be whitespace, but this can be configured using the whitespace keyword. Use None to disable whitespace skipping.

class MyParsers(TextParsers, whitespace=r'[ \t]*'):
    # In here, only space and tab are considered whitespace.
    # This can be useful for grammars sensitive to newlines.

lit(*literals): literal parser

This is the simplest parser. It matches the exact string provided and returns the string as its value. If multiple arguments are provided, it tries each one in succession, returning the first one it finds.

class HelloParsers(TextParsers):
    hello = lit('Hello World!')
assert HelloParsers.hello.parse('Hello World!') == Success('Hello World!')
assert HelloParsers.hello.parse('Goodbye') == Failure("Hello World! expected but Goodbye found")

In most cases, the call to lit is handled automatically. If a bare string is provided to the functions and operators below, it will be promoted to literal parser whenever possible. Only when an operator is between two Python types, like a string and a string 'a' | 'b' or a string and function '100' > int will this “implicit conversion” not take place and you have to use lit (e.g. lit('a', 'b') and lit('100') > int).

reg(pattern): regular expression parser

Like lit, this matches a string and returns it, but the matching is done with a regular expression.

class IntegerParsers(TextParsers):
    integer = reg(r'[-+]?[0-9]+')
assert IntegerParsers.integer.parse('-128') == Success('-128')

parser > function: conversion parser

Conversion parsers don’t change how the text is parsed�they change the value returned. Every parser returns a value when it succeeds. The function supplied must take a single argument (that value) and returns a new value. This is how text is converted to other objects and simpler objects built into larger ones. In accordance with Python’s operator precedence, > is the operator in Parsita with the loosest binding.

class IntegerParsers(TextParsers):
    integer = reg(r'[-+]?[0-9]+') > int
assert IntegerParsers.integer.parse(-128) == Success(-128)

parser1 | parser2: alternative parser

This tries to match parser1. If it fails, it then tries to match parser2. If both fail, it returns the failure message from whichever one got farther. Either side can be a bare string, not both because 'a' | 'b' tries to call __or__ on str which fails. To try alternative literals, use lit with multiple arguments.

class NumberParsers(TextParsers):
    integer = reg(r'[-+]?[0-9]+') > int
    real = reg(r'[+-]?\d+\.\d+(e[+-]?\d+)?') | 'nan' | 'inf' > float
    number = integer | real
assert NumberParsers.number.parse('4.0000') == Success(4.0)

parser1 & parser2: sequential parser

All the parsers above will match at most one thing. This is the syntax for matching one parser and then another after it. If working in the TextParsers context, the two may be separated by whitespace. The value returned is a list of all the values returned by each parser. If there are multiple parsers separated by &, a list of the same length as the number of parsers is returned. Like |, either side may be a bare string, but not both. In accordance with Python’s operator precedence, & binds more tightly than |.

class UrlParsers(TextParsers, whitespace=None):
    url = lit('http', 'ftp') & '://' & reg(r'[^/]+') & reg(r'.*')
assert UrlParsers.url.parse('') == \
    Success(['http', '://', '', '/blog/sane_equality/'])

parser1 >> parser2 and parser1 << parser2: discard left and right parsers

The discard left and discard right parser match the exact same text as parser1 & parser2, but rather than return a list of values from both, the left value in >> and the right value in << is discarded so that only the remaining value is returned. A mnemonic to help remember which is which is to imagine the symbols as open mouths eating the parser to be discarded.

class PointParsers(TextParsers):
    integer = reg(r'[-+]?[0-9]+') > int
    point = '(' >> integer << ',' & integer << ')'
assert PointParsers.point.parse('(4, 3)') == Success([4, 3])

In accordance with Python’s operator precedence, these bind more tightly than any other operators including & or |, meaning that << and >> discard only the immediate parser.

  • Incorrect: entry = key << ':' >> value
  • Correct: entry = key << ':' & value
  • Also correct: entry = key & ':' >> value
  • Incorrect: hostname = lit('http', 'ftp') & '://' >> reg(r'[^/]+') << reg(r'.*')
  • Correct: hostname = lit('http', 'ftp') >> '://' >> reg(r'[^/]+') << reg(r'.*')
  • Better: hostname = (lit('http', 'ftp') & '://') >> reg(r'[^/]+') << reg(r'.*')

opt(parser): optional parser

An optional parser tries to match its argument. If the argument succeeds, it returns a list of length one with the successful value as its only element. If the argument fails, then opt succeeds anyway, but returns an empty list and consuming no input.

class DeclarationParsers(TextParsers):
    id = reg(r'[A-Za-z_][A-Za-z0-9_]+')
    declaration = id & opt(':' >> id)
assert DeclarationParsers.declaration.parse('x: int') == Success(['x', ['int']])

rep(parser) and rep1(parser): repeated parsers

A repeated parser matches repeated instances of its parser argument. It returns a list with each element being the value of one match. rep1 only succeeds if at least one match is found. rep always succeeds, returning an empty list if no matches are found.

class SummationParsers(TextParsers):
    integer = reg(r'[-+]?[0-9]+') > int
    summation = integer & rep('+' >> integer) > lambda x: sum([x[0]] + x[1])
assert SummationParsers.summation.parse('1 + 1 + 2 + 3 + 5') == Success(12)

repsep(parser, separator) and rep1sep(parser, separator): repeated separated parsers

A repeated separated parser matches parser separated by separator, returning a list of the values returned by parser and discarding the value of separator. rep1sep only succeeds if at least one match is found. repsep always succeeds, returning an empty list if no matches are found.

class ListParsers(TextParsers):
    integer = reg(r'[-+]?[0-9]+') > int
    my_list = '[' >> repsep(integer, ',') << ']'
assert ListParsers.my_list.parse('[1,2,3]') == [1, 2, 3]
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