json_matcher

Match json object with query like elasticsearch/lucene query.

examples (jrep)

# cat a.txt
{ "foo": "bar", "bar": "foo" }
# jrep "foo:bar" /tmp/a.txt
{ "foo": "bar", "bar": "foo" }

examples (json_matcher)

>>> import json_matcher
>>> matcher = json_matcher.compile('foo:bar bar:foo')
>>> j = dict(foo='bar', bar='foo')
>>> m = matcher.match(j)
>>> m.groups()
[('foo', 'bar'), ('bar', 'foo')]

>>> matcher = json_matcher.compile('foo:>10 bar:foo')
>>> j = dict(foo=11, bar='foo')
>>> matcher.match(j).groups()
[('foo', 11), ('bar', 'foo')]
>>> j = dict(foo=9, bar='foo')
>>> matcher.match(j)
>>> m = matcher.match(j)
>>> print(m)
None

>>> json_matcher.match('foo:[10 TO 20] AND bar:foo', dict(foo=11, bar='foo')).groups()
[('foo', 11), ('bar', 'foo')]

>>> nested = dict(A=dict(B=dict(C='Hello World')))
>>> json_matcher.match('A.B.C:"Hello World"', nested).groups()
[('A.B.C', 'Hello World')]

match text or number with field_name:value
match regular expression with field_name:/regular expression/
match range with field_name:[10 TO 20], field_name:[10 TO 20} (exclusive 20)
match range(open range) with field_name:>20 (like elasticsearch not lucene)
match field existence with _exists_:field_name
match expression with _expression:"python expression"

TODO:

multiple match with high performace (with Ahocorasik and RE2???)

salehmuhaysin/json_matcher

json_matcher