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Match json with lucece-like query

Project description

# 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???)

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