I have strings made up of Boolean terms and equations, like so
x=1 AND (x=2 OR x=3) AND NOT (x=4 AND x=5) AND (x=5) AND y=1
I would like to break up the x
into groups that were separated by AND
, while respecting parentheses as grouping operators. For example the result for the string above would be
[['x=1'], ['x=2', 'x=3'], ['x=4'], ['x=5'], ['x=5']]
x=2
and x=3
are in the same group because they are grouped by ()
and not separated by an AND
. The last equation was ignored because it does not start with x
.
UPDATE
Another example is
x=1 AND (x=2 OR (x=3 AND x=4))
where each equation should be separate
[['x=1'], ['x=2', [['x=3'], ['x=4']]]
The closest I found was this post but I don't know how to modify it to my needs.
As you probably saw in that other question, parsing infix notation such as this is best done in pyparsing using the infixNotation
helper (formerly named operatorPrecedence
). Here are the basics for using infixNotation
on your problem:
import pyparsing as pp
# define expressions for boolean operator keywords, and for an ident
# (which we take care not to parse an operator as an identifier)
AND, OR, NOT = map(pp.Keyword, "AND OR NOT".split())
any_keyword = AND | OR | NOT
ident = pp.ungroup(~any_keyword + pp.Char(pp.alphas))
ident.setName("ident")
# use pyparsing_common.number pre-defined expression for any numeric value
numeric_value = pp.pyparsing_common.number
# define an expression for 'x=1', 'y!=200', etc.
comparison_op = pp.oneOf("= != < > <= >=")
comparison = pp.Group(ident + comparison_op + numeric_value)
comparison.setName("comparison")
# define classes for the parsed results, where we can do further processing by
# node type later
class Node:
oper = None
def __init__(self, tokens):
self.tokens = tokens[0]
def __repr__(self):
return "{}:{!r}".format(self.oper, self.tokens.asList())
class UnaryNode(Node):
def __init__(self, tokens):
super().__init__(tokens)
del self.tokens[0]
class BinaryNode(Node):
def __init__(self, tokens):
super().__init__(tokens)
del self.tokens[1::2]
class NotNode(UnaryNode):
oper = "NOT"
class AndNode(BinaryNode):
oper = "AND"
class OrNode(BinaryNode):
oper = "OR"
# use infixNotation helper to define recursive expression parser,
# including handling of nesting in parentheses
expr = pp.infixNotation(comparison,
[
(NOT, 1, pp.opAssoc.RIGHT, NotNode),
(AND, 2, pp.opAssoc.LEFT, AndNode),
(OR, 2, pp.opAssoc.LEFT, OrNode),
])
Now try using this expr
parser on a test string.
test = "x=1 AND (x=2 OR x=3 OR y=12) AND NOT (x=4 AND x=5) AND (x=6) AND y=7"
try:
result = expr.parseString(test, parseAll=True)
print(test)
print(result)
except pp.ParseException as pe:
print(pp.ParseException.explain(pe))
Gives:
x=1 AND (x=2 OR x=3 OR y=12) AND NOT (x=4 AND x=5) AND (x=6) AND y=7
[AND:[['x', '=', 1], OR:[['x', '=', 2], ['x', '=', 3], ['y', '=', 12]], NOT:[AND:[['x', '=', 4], ['x', '=', 5]]], ['x', '=', 6], ['y', '=', 7]]]
From this point, collapsing the nested AND nodes and removing non-x
comparisons can be done using regular Python.