You can read further docs at: https://parsley.readthedocs.org/en/latest/

Parsley is a parsing library for people who find parsers scary or annoying. I wrote it because I wanted to parse a programming language, and tools like PLY or ANTLR or Bison were very hard to understand and integrate into my Python code. Most parser generators are based on LL or LR parsing algorithms that compile to big state machine tables. It was like I had to wake up a different section of my brain to understand or work on grammar rules.

Parsley, like pyparsing and ZestyParser, uses the PEG algorithm, so each expression in the grammar rules works like a Python expression. In particular, alternatives are evaluated in order, unlike table-driven parsers such as yacc, bison or PLY.

Parsley is an implementation of OMeta, an object-oriented pattern-matching language developed by Alessandro Warth at https://tinlizzie.org/ometa/ . For further reading, see Warth's PhD thesis, which provides a detailed description of OMeta: https://www.vpri.org/pdf/tr2008003_experimenting.pdf

Parsley compiles a grammar to a Python class, with the rules as methods. The rules specify parsing expressions, which consume input and return values if they succeed in matching.

foo = ....:

Define a rule named foo.

expr1 expr2:

Match expr1, and then match expr2 if it succeeds, returning the value of expr2. Like Python's and.

expr1 | expr2:

Try to match expr1 --- if it fails, match expr2 instead. Like Python's or.

expr*:

Match expr zero or more times, returning a list of matches.

expr+:

Match expr one or more times, returning a list of matches.

expr?:

Try to match expr. Returns None if it fails to match.

expr{n, m}:

Match expr at least n times, and no more than m times.

expr{n}:

Match expr n times exactly.

~expr:

Negative lookahead. Fails if the next item in the input matches expr. Consumes no input.

~~expr:

Positive lookahead. Fails if the next item in the input does not match expr. Consumes no input.

ruleName or ruleName(arg1 arg2 etc):

Call the rule ruleName, possibly with args.

'x':

Match the literal character 'x'.

<expr>:

Returns the string consumed by matching expr. Good for tokenizing rules.

expr:name:

Bind the result of expr to the local variable name.

-> pythonExpression:

Evaluate the given Python expression and return its result. Can be used inside parentheses too!

!(pythonExpression):

Invoke a Python expression as an action.

?(pythonExpression):

Fail if the Python expression is false, Returns True otherwise.

Comments like Python comments are supported as well, starting with # and extending to the end of the line.

The starting point for defining a new grammar is parsley.makeGrammar(grammarSource, bindings), which takes a grammar definition and a dict of variable bindings for its embedded expressions and produces a Python class. Grammars can be subclassed as usual, and makeGrammar can be called on these classes to override rules and provide new ones. Grammar rules are exposed as methods.

from parsley import makeGrammar
exampleGrammar = """
ones = '1' '1' -> 1
twos = '2' '2' -> 2
stuff = (ones | twos)+
"""
Example = makeGrammar(exampleGrammar, {})
g = Example("11221111")
result = g.stuff()
print result

→ [1, 2, 1, 1]