I am trying to write a lark grammar for a dsl, but having trouble with this string interpolation syntax:
" abc " <- normal string
" xyz~{expression}abc " <- string with interpolation
so a ~{ switches from string to expression, and a } terminates that expression. I think this is close:
string : "\"" (string_interp|not_string_interp)* "\""
string_interp: "~{" expression "}"
not_string_interp: /([^~][^{])+/
But the regex will only match even numbers of characters, and if the ~{ straddles an even boundary, it will be missed.
not_string_interp: /(.?|([^~][^{])+)/
This is about as far as I could get, but still seems wrong. Can I use lookaheads? I also want to keep %ignore WS on, as it keeps the noise down massively, so a solution accounting for that would be great!
Thanks
Test cases:
""
"a"
"~{1}"
" ~{1} "
"a bc~{1}c d"
"a b~{1}c d"
I think this does it. Sadly any ~ not followed by { will split the string up, but I can reconstruct them later. I am getting fooled by the equal precedence of rules, and the greediness of regexes.
/[^"~]+/ anything that is not ~ or " (regular string)
"~{" expression "}" the normal expression
/~(?!{)/ handle ~ without {. Use ?! because we must not consume next char (it could be " or another ~)
from lark import Lark
print (Lark(r"""
string: "\"" string_thing* "\""
string_thing: /[^"~]+/
| "~{" expression "}"
| /~(?!{)/
expression: /[^}]+/
""", start='string', ambiguity="explicit").parse(
# '"a"'
'"a~b{}c}d~{1}g"'
# '"~abc~"'
# '"~{1}~~{1}~~~{1}"'
).pretty())
Here is a solution to your problem using a positive lookbehind.
(?<=~{)[^}]+
It looks for the beginning of the expression ~{ and captures everything until the closing brace }
Related
I tried a lot of solutions but can't get this Regex to work.
The string-
"Flow Control None"
I want to exclude "Flow Control" plus the blank space, and only return whatever is on the right.
Since you have tagged your question with #python and #regex, I'll outline a simple solution to your problem using these tools. Furthermore, the other two answers don't really tackle the exact problem of matching "whatever is on the right" of your "Flow Control " prefix.
First, start by importing the re builtin module (read the docs).
import re
Define the pattern you want to match. Here, we're matching "whatever is on the right" ((?P<suffix>.+)$) of ^Flow Control .
pattern = re.compile(r"^Flow Control (?P<suffix>.+)$")
Grab the match for a given string (e.g. "Flow Control None")
suffix = pattern.search("Flow Control None").group("suffix")
print(suffix) # Out: None
Hopefully, this complete working example will also help you
import re
def get_suffix(text: str):
pattern = re.compile(r"^Flow Control (?P<suffix>.+)$")
matches = pattern.search(text)
return matches.group("suffix") if matches else None
examples = [
"Flow Control None",
"Flow Control None None",
"Flow Control None",
"Flow Control ",
]
for example in examples:
suffix = get_suffix(text=example)
if suffix:
print(f"Matched: {repr(suffix)}")
else:
print(f"No matches for: {repr(example)}")
Use split like so:
my_str = 'Flow Control None'
out_str = my_str.split()[-1]
# 'None'
Or use re.findall:
import re
out_str = re.findall(r'^.*\s(\S+)$', my_str)[0]
If you really want a purely regex solution try this: (?<= )[a-zA-Z]*$
The (?<= ) matches a single ' ' but doesn't include it in the match. [a-zA-Z]* matches anything from a to z or A to Z any number of times. $ matches the end of the line.
You could also try replacing the * with a + if you want to ensure that your match has at least one letter (* will produce a 0-length match if your string ends in a space, + will match nothing).
But it may be clearer to do something like
data = "Flow Control None"
split = data.split(' ')
split[len(split) - 1] # returns "None"
EDIT data.split(' ')[-1] also returns "None"
or
data[data.rfind(' ') + 1:] # returns "None"
that don't involve regexes at all.
I'm trying to create a grammar to parse some Excel-like formulas I have devised, where a special character in the beginning of a string signifies a different source. For example, $ can signify a string, so "$This is text" would be treated as a string input in the program and & can signify a function, so &foo() can be treated as a call to the internal function foo.
The problem I'm facing is how to construct the grammar properly. For example, This is a simplified version as a MWE:
grammar = r'''start: instruction
?instruction: simple
| func
STARTSYMBOL: "!"|"#"|"$"|"&"|"~"
SINGLESTR: (LETTER+|DIGIT+|"_"|" ")*
simple: STARTSYMBOL [SINGLESTR] (WORDSEP SINGLESTR)*
ARGSEP: ",," // argument separator
WORDSEP: "," // word separator
CONDSEP: ";;" // condition separator
STAR: "*"
func: STARTSYMBOL SINGLESTR "(" [simple|func] (ARGSEP simple|func)* ")"
%import common.LETTER
%import common.WORD
%import common.DIGIT
%ignore ARGSEP
%ignore WORDSEP
'''
parser = lark.Lark(grammar, parser='earley')
So, with this grammar, things like: $This is a string, &foo(), &foo(#arg1), &foo($arg1,,#arg2) and &foo(!w1,w2,w3,,!w4,w5,w6) are all parsed as expected. But if I'd like to add more flexibility to my simple terminal, then I need to start fiddling around with the SINGLESTR token definition which is not convenient.
What have I tried
The part that I cannot get past is that if I want to have a string including parentheses (which are literals of func), then I cannot handle them in my current situation.
If I add the parentheses in SINGLESTR, then I get Expected STARTSYMBOL, because it's getting mixed up with the func definition and it thinks that a function argument should be passed, which makes sense.
If I redefine the grammar to reserve the ampersand symbol for functions only and add the parentheses in SINGLESTR, then I can parse a string with parentheses, but every function I'm trying to parse gives Expected LPAR.
My intent is that anything starting with a $ would be parsed as a SINGLESTR token and then I could parse things like &foo($first arg (has) parentheses,,$second arg).
My solution, for now, is that I'm using 'escape' words like LEFTPAR and RIGHTPAR in my strings and I've written helper functions to change those into parentheses when I process the tree. So, $This is a LEFTPARtestRIGHTPAR produces the correct tree and when I process it, then this gets translated to This is a (test).
To formulate a general question: Can I define my grammar in such a way that some characters that are special to the grammar are treated as normal characters in some situations and as special in any other case?
EDIT 1
Based on a comment from jbndlr I revised my grammar to create individual modes based on the start symbol:
grammar = r'''start: instruction
?instruction: simple
| func
SINGLESTR: (LETTER+|DIGIT+|"_"|" ") (LETTER+|DIGIT+|"_"|" "|"("|")")*
FUNCNAME: (LETTER+) (LETTER+|DIGIT+|"_")* // no parentheses allowed in the func name
DB: "!" SINGLESTR (WORDSEP SINGLESTR)*
TEXT: "$" SINGLESTR
MD: "#" SINGLESTR
simple: TEXT|DB|MD
ARGSEP: ",," // argument separator
WORDSEP: "," // word separator
CONDSEP: ";;" // condition separator
STAR: "*"
func: "&" FUNCNAME "(" [simple|func] (ARGSEP simple|func)* ")"
%import common.LETTER
%import common.WORD
%import common.DIGIT
%ignore ARGSEP
%ignore WORDSEP
'''
This falls (somewhat) under my second test case. I can parse all the simple types of strings (TEXT, MD or DB tokens that can contain parentheses) and functions that are empty; for example, &foo() or &foo(&bar()) parse correctly. The moment I put an argument within a function (no matter which type), I get an UnexpectedEOF Error: Expected ampersand, RPAR or ARGSEP. As a proof of concept, if I remove the parentheses from the definition of SINGLESTR in the new grammar above, then everything works as it should, but I'm back to square one.
import lark
grammar = r'''start: instruction
?instruction: simple
| func
MIDTEXTRPAR: /\)+(?!(\)|,,|$))/
SINGLESTR: (LETTER+|DIGIT+|"_"|" ") (LETTER+|DIGIT+|"_"|" "|"("|MIDTEXTRPAR)*
FUNCNAME: (LETTER+) (LETTER+|DIGIT+|"_")* // no parentheses allowed in the func name
DB: "!" SINGLESTR (WORDSEP SINGLESTR)*
TEXT: "$" SINGLESTR
MD: "#" SINGLESTR
simple: TEXT|DB|MD
ARGSEP: ",," // argument separator
WORDSEP: "," // word separator
CONDSEP: ";;" // condition separator
STAR: "*"
func: "&" FUNCNAME "(" [simple|func] (ARGSEP simple|func)* ")"
%import common.LETTER
%import common.WORD
%import common.DIGIT
%ignore ARGSEP
%ignore WORDSEP
'''
parser = lark.Lark(grammar, parser='earley')
parser.parse("&foo($first arg (has) parentheses,,$second arg)")
Output:
Tree(start, [Tree(func, [Token(FUNCNAME, 'foo'), Tree(simple, [Token(TEXT, '$first arg (has) parentheses')]), Token(ARGSEP, ',,'), Tree(simple, [Token(TEXT, '$second arg')])])])
I hope it's what you were looking for.
Those have been crazy few days. I tried lark and failed. I also tried persimonious and pyparsing. All of these different parsers all had the same problem with the 'argument' token consuming the right parenthesis that was part of the function, eventually failing because the function's parentheses weren't closed.
The trick was to figure out how do you define a right parenthesis that's "not special". See the regular expression for MIDTEXTRPAR in the code above. I defined it as a right parenthesis that is not followed by argument separation or by end of string. I did that by using the regular expression extension (?!...) which matches only if it's not followed by ... but doesn't consume characters. Luckily it even allows matching end of string inside this special regular expression extension.
EDIT:
The above mentioned method only works if you don't have an argument ending with a ), because then the MIDTEXTRPAR regular expression won't catch that ) and will think that's the end of the function even though there are more arguments to process. Also, there may be ambiguities such as ...asdf),,..., it may be an end of a function declaration inside an argument, or a 'text-like' ) inside an argument and the function declaration goes on.
This problem is related to the fact that what you describe in your question is not a context-free grammar (https://en.wikipedia.org/wiki/Context-free_grammar) for which parsers such as lark exist. Instead it is a context-sensitive grammar (https://en.wikipedia.org/wiki/Context-sensitive_grammar).
The reason for it being a context sensitive grammar is because you need the parser to 'remember' that it is nested inside a function, and how many levels of nesting there are, and have this memory available inside the grammar's syntax in some way.
EDIT2:
Also take a look at the following parser that is context-sensitive, and seems to solve the problem, but has an exponential time complexity in the number of nested functions, as it tries to parse all possible function barriers until it finds one that works. I believe it has to have an exponential complexity has since it's not context-free.
_funcPrefix = '&'
_debug = False
class ParseException(Exception):
pass
def GetRecursive(c):
if isinstance(c,ParserBase):
return c.GetRecursive()
else:
return c
class ParserBase:
def __str__(self):
return type(self).__name__ + ": [" + ','.join(str(x) for x in self.contents) +"]"
def GetRecursive(self):
return (type(self).__name__,[GetRecursive(c) for c in self.contents])
class Simple(ParserBase):
def __init__(self,s):
self.contents = [s]
class MD(Simple):
pass
class DB(ParserBase):
def __init__(self,s):
self.contents = s.split(',')
class Func(ParserBase):
def __init__(self,s):
if s[-1] != ')':
raise ParseException("Can't find right parenthesis: '%s'" % s)
lparInd = s.find('(')
if lparInd < 0:
raise ParseException("Can't find left parenthesis: '%s'" % s)
self.contents = [s[:lparInd]]
argsStr = s[(lparInd+1):-1]
args = list(argsStr.split(',,'))
i = 0
while i<len(args):
a = args[i]
if a[0] != _funcPrefix:
self.contents.append(Parse(a))
i += 1
else:
j = i+1
while j<=len(args):
nestedFunc = ',,'.join(args[i:j])
if _debug:
print(nestedFunc)
try:
self.contents.append(Parse(nestedFunc))
break
except ParseException as PE:
if _debug:
print(PE)
j += 1
if j>len(args):
raise ParseException("Can't parse nested function: '%s'" % (',,'.join(args[i:])))
i = j
def Parse(arg):
if arg[0] not in _starterSymbols:
raise ParseException("Bad prefix: " + arg[0])
return _starterSymbols[arg[0]](arg[1:])
_starterSymbols = {_funcPrefix:Func,'$':Simple,'!':DB,'#':MD}
P = Parse("&foo($first arg (has)) parentheses,,&f($asdf,,&nested2($23423))),,&second(!arg,wer))")
print(P)
import pprint
pprint.pprint(P.GetRecursive())
Problem is arguments of function are enclosed in parenthesis where one of the arguments may contain parenthesis.
One of the possible solution is use backspace \ before ( or ) when it is a part of String
SINGLESTR: (LETTER+|DIGIT+|"_"|" ") (LETTER+|DIGIT+|"_"|" "|"\("|"\)")*
Similar solution used by C, to include double quotes(") as a part of string constant where string constant is enclosed in double quotes.
example_string1='&f(!g\()'
example_string2='&f(#g)'
print(parser.parse(example_string1).pretty())
print(parser.parse(example_string2).pretty())
Output is
start
func
f
simple !g\(
start
func
f
simple #g
I'm writing a profile manager for Stellaris game and I've hit a wall with their format in which they keep the info about mods and settings.
Mod file:
name="! (Ship Designer UI Fix) !"
path="mod/ship_designer_ui_fix"
tags={
"Fixes"
}
remote_file_id="879973318"
supported_version="1.6"
Settings:
language="l_english"
graphics={
size={
x=1920
y=1200
}
min_gui={
x=1920
y=1200
}
gui_scale=1.000000
gui_safe_ratio=1.000000
refreshRate=59
fullScreen=no
borderless=no
display_index=0
shadowSize=2048
multi_sampling=8
maxanisotropy=16
gamma=50.000000
vsync=yes
}
last_mods={
"mod/ship_designer_ui_fix.mod"
"mod/ugc_720237457.mod"
"mod/ugc_775944333.mod"
}
I've thought pyparsing will be of help there (and it probably will be) but it has been a long time since I've actually did something like this and this I'm clueless atm.
I've got to extract the simple key=value but I'm struggling to actually move from there to be able to extract the arrays, not to mention the multilevel arrays.
lbrack = Literal("{").suppress()
rbrack = Literal("}").suppress()
equals = Literal("=").suppress()
nonequals = "".join([c for c in printables if c != "="]) + " \t"
keydef = ~lbrack + Word(nonequals) + equals + restOfLine
conf = Dict( ZeroOrMore( Group(keydef) ) )
tokens = conf.parseString(data)
I haven't got very far as you can see. Can anyone point me towards next step? I'm not asking a finished and working solution for the whole thing - it would move me forward a lot but where's the fun in that :)
Well, it is awfully tempting to just dive in and write this parser, but you want some of that fun for yourself, that's great.
Before writing any code, write a BNF. That way you'll write a decent and robust parser, instead of just "everything that's not an equals sign must be an identifier".
There are a lot of "something = something" bits here, look at the kinds of things on the right- and left-hand sides of the '='. The left-hand sides all look like pretty well-mannered identifiers: alphas, underscores. I could envision numeric digits too, as long as they aren't the leading character. So let's say the left-hand sides will be identifiers:
identifier_leading = 'A'..'Z' 'a'..'z' '_'
identifier_body = identifier_leading '0'..'9'
identifier ::= identifier_leading + identifier_body*
The right-hand sides are a mix of things:
integers
floats
'yes' or 'no' booleans
quoted strings
something in braces
The "something in braces" are either a list of quoted strings, or a list of 'identifer = value' pairs. I'll skip the awful details of defining floats and integers and quoted strings, let's just assume we have those defined:
boolean_value ::= 'yes' | 'no'
value ::= float | integer | boolean_value | quoted_string | string_list_in_braces | key_value_list_in_braces
string_list_in_braces ::= '{' quoted_string * '}'
key_value ::= identifier '=' value
key_value_list_in_braces ::= '{' key_value* '}'
You will have to use a pyparsing Forward to declare value before it is fully defined, since it is used in key_value, but key_value is used in key_value_list_in_braces, which is used to define value - a recursive grammar. You are already familiar with the Dict(OneOrMore(Group(named_item))) pattern, and this should be good to give you a structure of fields that are accessible by name. For identifier, a Word would work, or you could just use the pre-defined pyparsing_common.identifier which was introduced as part of the pyparsing_common namespace class last year.
The translation from BNF to pyparsing should be pretty much 1-to-1 from here. For that matter, from the BNF, you could use PLY, ANTLR, or another parsing lib too. The BNF is really worth taking the 1/2 hour or 1/2 day to get sorted out.
Using pyparsing, how can I match a keyword immediately before or after a special character (like "{" or "}")? The code below shows that my keyword "msg" is not matched unless it is preceded by whitespace (or at start):
import pyparsing as pp
openBrace = pp.Suppress(pp.Keyword("{"))
closeBrace = pp.Suppress(pp.Keyword("}"))
messageKw = pp.Keyword("msg")
messageExpr = pp.Forward()
messageExpr << messageKw + openBrace +\
pp.ZeroOrMore(messageExpr) + closeBrace
try:
result = messageExpr.parseString("msg { msg { } }")
print result.dump(), "\n"
result = messageExpr.parseString("msg {msg { } }")
print result.dump()
except pp.ParseException as pe:
print pe, "\n", "Text: ", pe.line
I'm sure there's a way to do this, but I have been unable to find it.
Thanks in advance
openBrace = pp.Suppress(pp.Keyword("{"))
closeBrace = pp.Suppress(pp.Keyword("}"))
should be:
openBrace = pp.Suppress(pp.Literal("{"))
closeBrace = pp.Suppress(pp.Literal("}"))
or even just:
openBrace = pp.Suppress("{")
closeBrace = pp.Suppress("}")
(Most pyparsing classes will auto-promote a string argument "arg" to Literal("arg").)
When I have parsers with many punctuation marks, rather than have a big ugly chunk of statements like this, I'll collapse them down to something like:
OBRACE, CBRACE, OPAR, CPAR, SEMI, COMMA = map(pp.Suppress, "{}();,")
The problem you are seeing is that Keyword looks at the immediately-surrounding characters, to make sure that the current string is not being accidentally matched when it is really embedded in a larger identifier-like string. In Keyword('{'), this will only work if there is no adjoining character that could be confused as part of a larger word. Since '{' itself is not really a typical keyword character, using Keyword('{') is not a good use of that class.
Only use Keyword for strings that could be misinterpreted as identifiers. For matching characters that are not in the set of typical keyword characters (by "keyword characters" I mean alphanumerics + '_'), use Literal.
I want to strip double quotes from:
string = '"" " " ""\\1" " "" ""'
to obtain:
string = '" " " ""\\1" " "" "'
I tried to use rstrip, lstrip and strip('[^\"]|[\"$]') but it did not work.
How can I do this?
If the quotes you want to strip are always going to be "first and last" as you said, then you could simply use:
string = string[1:-1]
If you can't assume that all the strings you process have double quotes you can use something like this:
if string.startswith('"') and string.endswith('"'):
string = string[1:-1]
Edit:
I'm sure that you just used string as the variable name for exemplification here and in your real code it has a useful name, but I feel obliged to warn you that there is a module named string in the standard libraries. It's not loaded automatically, but if you ever use import string make sure your variable doesn't eclipse it.
IMPORTANT: I'm extending the question/answer to strip either single or double quotes. And I interpret the question to mean that BOTH quotes must be present, and matching, to perform the strip. Otherwise, the string is returned unchanged.
To "dequote" a string representation, that might have either single or double quotes around it (this is an extension of #tgray's answer):
def dequote(s):
"""
If a string has single or double quotes around it, remove them.
Make sure the pair of quotes match.
If a matching pair of quotes is not found,
or there are less than 2 characters, return the string unchanged.
"""
if (len(s) >= 2 and s[0] == s[-1]) and s.startswith(("'", '"')):
return s[1:-1]
return s
Explanation:
startswith can take a tuple, to match any of several alternatives. The reason for the DOUBLED parentheses (( and )) is so that we pass ONE parameter ("'", '"') to startswith(), to specify the permitted prefixes, rather than TWO parameters "'" and '"', which would be interpreted as a prefix and an (invalid) start position.
s[-1] is the last character in the string.
Testing:
print( dequote("\"he\"l'lo\"") )
print( dequote("'he\"l'lo'") )
print( dequote("he\"l'lo") )
print( dequote("'he\"l'lo\"") )
=>
he"l'lo
he"l'lo
he"l'lo
'he"l'lo"
(For me, regex expressions are non-obvious to read, so I didn't try to extend #Alex's answer.)
To remove the first and last characters, and in each case do the removal only if the character in question is a double quote:
import re
s = re.sub(r'^"|"$', '', s)
Note that the RE pattern is different than the one you had given, and the operation is sub ("substitute") with an empty replacement string (strip is a string method but does something pretty different from your requirements, as other answers have indicated).
If string is always as you show:
string[1:-1]
Almost done. Quoting from http://docs.python.org/library/stdtypes.html?highlight=strip#str.strip
The chars argument is a string
specifying the set of characters to be
removed.
[...]
The chars argument is not a prefix or
suffix; rather, all combinations of
its values are stripped:
So the argument is not a regexp.
>>> string = '"" " " ""\\1" " "" ""'
>>> string.strip('"')
' " " ""\\1" " "" '
>>>
Note, that this is not exactly what you requested, because it eats multiple quotes from both end of the string!
Remove a determinated string from start and end from a string.
s = '""Hello World""'
s.strip('""')
> 'Hello World'
Starting in Python 3.9, you can use removeprefix and removesuffix:
'"" " " ""\\1" " "" ""'.removeprefix('"').removesuffix('"')
# '" " " ""\\1" " "" "'
If you are sure there is a " at the beginning and at the end, which you want to remove, just do:
string = string[1:len(string)-1]
or
string = string[1:-1]
I have some code that needs to strip single or double quotes, and I can't simply ast.literal_eval it.
if len(arg) > 1 and arg[0] in ('"\'') and arg[-1] == arg[0]:
arg = arg[1:-1]
This is similar to ToolmakerSteve's answer, but it allows 0 length strings, and doesn't turn the single character " into an empty string.
in your example you could use strip but you have to provide the space
string = '"" " " ""\\1" " "" ""'
string.strip('" ') # output '\\1'
note the \' in the output is the standard python quotes for string output
the value of your variable is '\\1'
Below function will strip the empty spces and return the strings without quotes. If there are no quotes then it will return same string(stripped)
def removeQuote(str):
str = str.strip()
if re.search("^[\'\"].*[\'\"]$",str):
str = str[1:-1]
print("Removed Quotes",str)
else:
print("Same String",str)
return str
find the position of the first and the last " in your string
>>> s = '"" " " ""\\1" " "" ""'
>>> l = s.find('"')
>>> r = s.rfind('"')
>>> s[l+1:r]
'" " " ""\\1" " "" "'