Note
Go to the end to download the full example code
Simple JSON Parser
The code is short and clear, and outperforms every other parser (that’s written in Python). For an explanation, check out the JSON parser tutorial at /docs/json_tutorial.md
import sys
from lark import Lark, Transformer, v_args
json_grammar = r"""
?start: value
?value: object
| array
| string
| SIGNED_NUMBER -> number
| "true" -> true
| "false" -> false
| "null" -> null
array : "[" [value ("," value)*] "]"
object : "{" [pair ("," pair)*] "}"
pair : string ":" value
string : ESCAPED_STRING
%import common.ESCAPED_STRING
%import common.SIGNED_NUMBER
%import common.WS
%ignore WS
"""
class TreeToJson(Transformer):
@v_args(inline=True)
def string(self, s):
return s[1:-1].replace('\\"', '"')
array = list
pair = tuple
object = dict
number = v_args(inline=True)(float)
null = lambda self, _: None
true = lambda self, _: True
false = lambda self, _: False
### Create the JSON parser with Lark, using the Earley algorithm
# json_parser = Lark(json_grammar, parser='earley', lexer='basic')
# def parse(x):
# return TreeToJson().transform(json_parser.parse(x))
### Create the JSON parser with Lark, using the LALR algorithm
json_parser = Lark(json_grammar, parser='lalr',
# Using the basic lexer isn't required, and isn't usually recommended.
# But, it's good enough for JSON, and it's slightly faster.
lexer='basic',
# Disabling propagate_positions and placeholders slightly improves speed
propagate_positions=False,
maybe_placeholders=False,
# Using an internal transformer is faster and more memory efficient
transformer=TreeToJson())
parse = json_parser.parse
def test():
test_json = '''
{
"empty_object" : {},
"empty_array" : [],
"booleans" : { "YES" : true, "NO" : false },
"numbers" : [ 0, 1, -2, 3.3, 4.4e5, 6.6e-7 ],
"strings" : [ "This", [ "And" , "That", "And a \\"b" ] ],
"nothing" : null
}
'''
j = parse(test_json)
print(j)
import json
assert j == json.loads(test_json)
if __name__ == '__main__':
# test()
with open(sys.argv[1]) as f:
print(parse(f.read()))
Total running time of the script: (0 minutes 0.000 seconds)