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| """ | |
| 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 | |
| (this is here for use by the other examples) | |
| """ | |
| 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): | |
| 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 LALR algorithm | |
| json_parser = Lark(json_grammar, parser='lalr', | |
| # Using the standard lexer isn't required, and isn't usually recommended. | |
| # But, it's good enough for JSON, and it's slightly faster. | |
| lexer='standard', | |
| # 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()) | |