Parsr is a simple parser combinator library in pure python.
Project description
parsr
parsr is a little library for parsing simple, mostly context free grammars that might require knowledge of indentation or matching tags.
It contains a small set of combinators that perform recursive decent with backtracking. Fancy tricks like rewriting left recursions and optimizations like packrat are not implemented since the goal is a library that's small yet sufficient for parsing non-standard configuration files. It also includes a generic data model that parsers can target to take advantage of an embedded query system.
To see how a handwritten parser might evolve to something like this project, check out the lesson.
parser.query contains the common data model and query system.
Install
- Ensure python2.7, python3.6, or python3.7 is installed.
python3.7 -m venv myproject && cd myproject
source bin/activate
pip install parsr
Examples
- Arithmetic
- Generic Key/Value Pair configuration
- INI configuration is an example of significant indentation.
- json
- httpd configuration is an example of matching starting and ending tags.
- nginx configuration
- corosync configuration
- multipath configuration
- logrotate configuration
Primitives
These are the building blocks for matching individual characters, sets of
characters, and a few convenient objects like numbers. All matching is case
sensitive except for the ignore_case
option with Literal
.
Char
Match a single character.
a = Char("a") # parses a single "a"
val = a("a") # produces an "a" from the data.
val = a("b") # raises an exception
InSet
Match any single character in a set.
vowel = InSet("aeiou") # or InSet(set("aeiou"))
val = vowel("a") # okay
val = vowel("e") # okay
val = vowel("i") # okay
val = vowel("o") # okay
val = vowel("u") # okay
val = vowel("y") # raises an exception
String
Match one or more characters in a set. Matching is greedy.
vowels = String("aeiou")
val = vowels("a") # returns "a"
val = vowels("u") # returns "u"
val = vowels("aaeiouuoui") # returns "aaeiouuoui"
val = vowels("uoiea") # returns "uoiea"
val = vowels("oouieaaea") # returns "oouieaaea"
val = vowels("ga") # raises an exception
StringUntil
Matches any number of characters until a predicate is seen. You may set lower and upper bounds. Both are inclusive. The characters that match the predicate are not consumed.
su = StringUntil(Char("=")) # parses any number of characters until '='
val = su("ab=") # produces "ab" from the data.
val = su("ab") # raises an exception
su = StringUntil(Char("="), lower=2) # parses at least two characters until '='
val = su("ab=") # produces "ab" from the data.
val = su("a=") # raises an exception
su = StringUntil(Char("="), upper=2) # parses at most two characters until '='
val = su("ab=") # produces "ab" from the data.
val = su("a=") # produces "a"
val = su("abc=") # raises an exception
Literal
Match a literal string. The value
keyword lets you return a python value
instead of the matched input. The ignore_case
keyword makes the match case
insensitive.
lit = Literal("true")
val = lit("true") # returns "true"
val = lit("True") # raises an exception
val = lit("one") # raises an exception
lit = Literal("true", ignore_case=True)
val = lit("true") # returns "true"
val = lit("TRUE") # returns "TRUE"
val = lit("one") # raises an exception
t = Literal("true", value=True)
f = Literal("false", value=False)
val = t("true") # returns the boolean True
val = t("True") # raises an exception
val = f("false") # returns the boolean False
val = f("False") # raises and exception
t = Literal("true", value=True, ignore_case=True)
f = Literal("false", value=False, ignore_case=True)
val = t("true") # returns the boolean True
val = t("True") # returns the boolean True
val = f("false") # returns the boolean False
val = f("False") # returns the boolean False
Number
Match a possibly negative integer or simple floating point number and return
the python int
or float
for it.
val = Number("123") # returns 123
val = Number("-12") # returns -12
val = Number("12.4") # returns 12.4
val = Number("-12.4") # returns -12.4
parsr also provides SingleQuotedString, DoubleQuotedString, QuotedString, EOL, EOF, WS, AnyChar, and several other primitives. See the bottom of parsr/__init__.py
Combinators
There are several ways of combining primitives and their combinations.
Sequence
Require expressions to be in order.
Sequences are optimized so only the first object maintains a list of itself and
following objects. Be aware that using a sequence in other sequences will cause
it to accumulate the elements of the new sequence onto it, which could affect it
if it's used in multiple definitions. To ensure a sequence isn't "sticky" after
its definition, wrap it in a Wrapper
object.
a = Char("a") # parses a single "a"
b = Char("b") # parses a single "b"
c = Char("c") # parses a single "c"
ab = a + b # parses a single "a" followed by a single "b"
# (a + b) creates a "Sequence" object. Using `ab` as an
# element in a later sequence would modify its original
# definition.
abc = a + b + c # parses "abc"
# (a + b) creates a "Sequence" object to which c is appended
val = ab("ab") # produces a list ["a", "b"]
val = ab("a") # raises an exception
val = ab("b") # raises an exception
val = ab("ac") # raises an exception
val = ab("cb") # raises an exception
val = abc("abc") # produces ["a", "b", "c"]
Choice
Accept one of several alternatives. Alternatives are checked from left to right, and checking stops with the first one to succeed.
Choices are optimized so only the first object maintains a list of alternatives.
Be aware that using a choice object as an element in other choices will
cause it to accumulate the elemtents of the new choice onto it, which could
affect it if it's used in multiple definitions. To ensure a Choice isn't
"sticky" after its definition, wrap it in a Wrapper
object.
abc = a | b | c # alternation or choice.
val = abc("a") # parses a single "a"
val = abc("b") # parses a single "b"
val = abc("c") # parses a single "c"
val = abc("d") # raises an exception
Many
Match zero or more occurences of an expression. Matching is greedy.
Since Many
can match zero occurences, it always succeeds. Keep this in mind
when using it in a list of alternatives or with FollowedBy
or NotFollowedBy
.
x = Char("x")
xs = Many(x) # parses many (or no) x's in a row
val = xs("") # returns []
val = xs("a") # returns []
val = xs("x") # returns ["x"]
val = xs("xxxxx") # returns ["x", "x", "x", "x", "x"]
val = xs("xxxxb") # returns ["x", "x", "x", "x"]
ab = Many(a + b) # parses "abab..."
val = ab("") # produces []
val = ab("ab") # produces [["a", b"]]
val = ab("ba") # produces []
val = ab("ababab")# produces [["a", b"], ["a", "b"], ["a", "b"]]
ab = Many(a | b) # parses any combination of "a" and "b" like "aababbaba..."
val = ab("aababb")# produces ["a", "a", "b", "a", "b", "b"]
xs = Many(x, lower=1) # parses many (or no) x's in a row
val = xs("") # raises an exception
val = xs("a") # raises an exception
val = xs("x") # returns ["x"]
val = xs("xxxxx") # returns ["x", "x", "x", "x", "x"]
val = xs("xxxxb") # returns ["x", "x", "x", "x"]
ab = Many(a + b, lower=1) # parses "abab..."
val = ab("") # raises an exception
val = ab("ab") # produces [["a", "b"]]
val = ab("ba") # raises an exception
val = ab("ababab")# produces [["a", "b"], ["a", "b"], ["a", "b"]]
ab = Many(a | b, lower=1) # parses any combination of "a" and "b" like "aababbaba..."
val = ab("aababb")# produces ["a", "a", "b", "a", "b", "b"]
Until
Match zero or more occurences of an expression until a predicate matches. Matching is greedy.
Since Until
can match zero occurences, it always succeeds. Keep this in mind
when using it in a list of alternatives or with FollowedBy
or NotFollowedBy
.
cs = AnyChar.until(Char("y")) # parses many (or no) characters until a "y" is
# encountered.
val = cs("") # returns []
val = cs("a") # returns ["a"]
val = cs("x") # returns ["x"]
val = cs("ccccc") # returns ["c", "c", "c", "c", "c"]
val = cs("abcdycc") # returns ["a", "b", "c", "d"]
Followed by
Require an expression to be followed by another, but don't consume the input that matches the latter expression.
ab = Char("a") & Char("b") # matches an "a" followed by a "b", but the "b"
# isn't consumed from the input.
val = ab("ab") # returns "a" and leaves "b" to be consumed.
val = ab("ac") # raises an exception and doesn't consume "a".
Not followed by
Require an expression to not be followed by another.
anb = Char("a") / Char("b") # matches an "a" not followed by a "b".
val = anb("ac") # returns "a" and leaves "c" to be consumed
val = anb("ab") # raises an exception and doesn't consume "a".
Keep Left / Keep Right
KeepLeft
(<<
) and KeepRight
(>>
) match adjacent expressions but ignore
one of their results.
a = Char("a")
q = Char('"')
qa = a << q # like a + q except only the result of a is returned
val = qa('a"') # returns "a". Keeps the thing on the left of the <<
qa = q >> a # like q + a except only the result of a is returned
val = qa('"a') # returns "a". Keeps the thing on the right of the >>
qa = q >> a << q # like q + a + q except only the result of the a is returned
val = qa('"a"') # returns "a".
Opt
Opt
wraps a parser and returns a default value of None
if it fails. That
value can be changed with the default
keyword. Input is consumed if the
wrapped parser succeeds but not otherwise.
a = Char("a")
o = Opt(a) # matches an "a" if its available. Still succeeds otherwise but
# doesn't advance the read pointer.
val = o("a") # returns "a"
val = o("b") # returns None. Read pointer is not advanced.
o = Opt(a, default="x") # matches an "a" if its available. Returns "x" otherwise.
val = o("a") # returns "a"
val = o("b") # returns "x". Read pointer is not advanced.
map
All parsers have a .map
function that allows you to pass a function to
evaluate the input they've matched.
def to_number(val):
# val is like [non_zero_digit, [other_digits]]
first, rest = val
s = first + "".join(rest)
return int(s)
m = NonZeroDigit + Many(Digit) # returns [nzd, [other digits]]
n = m.map(to_number) # converts the match to an actual integer
val = n("15") # returns the int 15
Lift
Allows a multiple parameter function to work on parsers.
def comb(a, b, c):
""" a, b, and c should be strings. Returns their concatenation."""
return "".join([a, b, c])
# You'd normally invoke comb like comb("x", "y", "z"), but you can "lift" it for
# use with parsers like this:
x = Char("x")
y = Char("y")
z = Char("z")
p = Lift(comb) * x * y * z
# The * operator separates parsers whose results will go into the arguments of
# the lifted function. I've used Char above, but x, y, and z can be arbitrarily
# complex.
val = p("xyz") # would return "xyz"
val = p("xyx") # raises an exception. nothing would be consumed
Forward
Forward
allows recursive grammars where a nonterminal's definition includes
itself directly or indirectly. You initially create a Forward
nonterminal
with regular assignment.
expr = Forward()
You later give it its real definition with the <=
operator.
expr <= (term + Many(LowOps + term)).map(op)
Arithmetic
Here's an arithmetic parser that ties several concepts together. A progression of this parser from a simple imperative style to what you see below is in the repo.
from parsr import EOF, Forward, InSet, LeftParen, Many, Number, RightParen, WS
def op(args):
ans, rest = args
for op, arg in rest:
if op == "+":
ans += arg
elif op == "-":
ans -= arg
elif op == "*":
ans *= arg
elif op == "/":
ans /= arg
return ans
# high precedence operations
HighOps = InSet("*/")
# low precedence operations
LowOps = InSet("+-")
# Operator precedence is handled by having different declarations for each
# prededence level. expr handles low level operations, term handles high level
# operations, and factor handles simple numbers or subexpressions between
# parentheses. Since the first element in expr is term and the first element in
# term is factor, factors are evaluated first, then terms, and then exprs.
# We have to declare expr before its definition since it's used recursively
# through the definition of factor.
expr = Forward()
# A factor is a simple number or a subexpression between parentheses.
factor = WS >> (Number | (LeftParen >> expr << RightParen)) << WS
# A term handles strings of multiplication and division. As written, it would
# convert "1 + 2 - 3 + 4" into [1, [['+', 2], ['-', 3], ['+', 4]]]. The first
# element in the outer list is the initial factor. The second element of the
# outer list is another list, which is the result of the Many. The Many's list
# contains several two-element lists generated from each match of
# (HighOps + factor). We pass the entire structure into the op function with
# map.
term = (factor + Many(HighOps + factor)).map(op)
# expr has the same form and behavior as term.
# Notice that we assign to expr with "<=" instead of "=". This is how you assign
# to nonterminals that have been declared previously as Forward.
expr <= (term + Many(LowOps + term)).map(op)
val = expr("2*(3+4)/3+4") # returns 8.666666666666668
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