Annotate AST trees with source code positions
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.. Start of user-guide
The asttokens
module annotates Python abstract syntax trees (ASTs) with the positions of tokens
and text in the source code that generated them.
It makes it possible for tools that work with logical AST nodes to find the particular text that resulted in those nodes, for example for automated refactoring or highlighting.
asttokens is available on PyPI: https://pypi.python.org/pypi/asttokens/::
pip install asttokens
The code is on GitHub: https://github.com/gristlabs/asttokens.
The API Reference is here: http://asttokens.readthedocs.io/en/latest/api-index.html.
ASTTokens works with both Python2 and Python3.
ASTTokens can annotate both trees built by ast <https://docs.python.org/2/library/ast.html>
,
AND those built by astroid <https://github.com/PyCQA/astroid>
.
Here's an example:
.. code-block:: python
import asttokens, ast
source = "Robot('blue').walk(steps=10*n)"
atok = asttokens.ASTTokens(source, parse=True)
Once the tree has been marked, nodes get .first_token
, .last_token
attributes, and
the ASTTokens
object offers helpful methods:
.. code-block:: python
attr_node = next(n for n in ast.walk(atok.tree) if isinstance(n, ast.Attribute))
print(atok.get_text(attr_node))
start, end = attr_node.last_token.startpos, attr_node.last_token.endpos
print(atok.text[:start] + 'RUN' + atok.text[end:])
Which produces this output:
.. code-block:: text
Robot('blue').walk
Robot('blue').RUN(steps=10*n)
The ASTTokens
object also offers methods to walk and search the list of tokens that make up
the code (or a particular AST node), which is more useful and powerful than dealing with the text
directly.
To contribute:
Fork this repository, and clone your fork.
Install the package with test dependencies (ideally in a virtualenv) with::
pip install -e '.[test]'
Run tests in your current interpreter with the command pytest
or python -m pytest
.
Run tests across all supported interpreters with the tox
command. You will need to have the interpreters installed separately. We recommend pyenv
for that. Use tox -p auto
to run the tests in parallel.
By default certain tests which take a very long time to run are skipped, but they are run on travis CI. To run them locally, set the environment variable ASTTOKENS_SLOW_TESTS
. For example run ASTTOKENS_SLOW_TESTS=1 tox
to run the full suite of tests.