textmate-grammar-python 0.1.2

An interpreter for grammar files as defined by TextMate and used in VSCode, implemented in Python. TextMate grammars use the oniguruma dialect (https://github.com/kkos/oniguruma). Supports loading grammar files from JSON, PLIST, or YAML format.

textmate-grammar-python

An interpreter for grammar files as defined by TextMate and used in VSCode, implemented in Python. TextMate grammars use the oniguruma dialect (https://github.com/kkos/oniguruma). Supports loading grammar files from JSON, PLIST, or YAML format.

Usage

Install the module using pip install textmate-grammar-python.

Before tokenization is possible, a LanguageParser needs to be initialized using a loaded grammar.

from textmate_grammar.language import LanguageParser
from textmate_grammar.grammars import matlab
parser = LanguageParser(matlab.GRAMMAR)

After this, one can either choose to call parser.parsing_string to parse a input string directly, or call parser.parse_file with the path to the appropiate source file as the first argument, such as the the example example.py.

The parsed element object can be displayed directly by calling the print method. By default the element is printed as an element tree in a dictionary format.

>>> element = parser.parse_string("value = num2str(10);")
>>> element.print()

{'token': 'source.matlab',
 'children': [{'token': 'meta.assignment.variable.single.matlab', 
               'children': [{'token': 'variable.other.readwrite.matlab', 'content': 'value'}]},
              {'token': 'keyword.operator.assignment.matlab', 'content': '='},
              {'token': 'meta.function-call.parens.matlab',
               'begin': [{'token': 'entity.name.function.matlab', 'content': 'num2str'},
                         {'token': 'punctuation.section.parens.begin.matlab', 'content': '('}],
               'end': [{'token': 'punctuation.section.parens.end.matlab', 'content': ')'}],
               'children': [{'token': 'constant.numeric.decimal.matlab', 'content': '10'}]},
              {'token': 'punctuation.terminator.semicolon.matlab', 'content': ';'}]}

Alternatively, with the keyword argument flatten the element is displayed as a list per unique token. Here the first item in the list is the starting position (line, column) of the unique tokenized element.

>>> element.print(flatten=True)

[[(0, 0), 'value', ['source.matlab', 'meta.assignment.variable.single.matlab', 'variable.other.readwrite.matlab']],
 [(0, 5), ' ', ['source.matlab']],
 [(0, 6), '=', ['source.matlab', 'keyword.operator.assignment.matlab']],
 [(0, 7), ' ', ['source.matlab']],
 [(0, 8), 'num2str', ['source.matlab', 'meta.function-call.parens.matlab', 'entity.name.function.matlab']],
 [(0, 15), '(', ['source.matlab', 'meta.function-call.parens.matlab', 'punctuation.section.parens.begin.matlab']],
 [(0, 16), '10', ['source.matlab', 'meta.function-call.parens.matlab', 'constant.numeric.decimal.matlab']],
 [(0, 18), ')', ['source.matlab', 'meta.function-call.parens.matlab', 'punctuation.section.parens.end.matlab']],
 [(0, 19), ';', ['source.matlab', 'punctuation.terminator.semicolon.matlab']]]

Supported Languages

• MATLAB

TODO

• Implement Begin/While pattern, required for other grammars.

Sources

• Textmate guide
• VSCode Syntax Highlighting guide
• vscode-textmate
• Macromates texmate

Development

Install the repository after cloning with poetry

> pip install poetry
> cd textmate-grammar-python
> poetry install

Run unit tests

> tox run

Run regression testing against vscode-textmate (will install npm and required packages)

> tox run -e regression