sphinx-autocodelink
Automatically add links to code blocks in Sphinx documentation.
This extension is similar to sphinx-codeautolink,
except it uses dynamic analysis to resolve links instead of static analysis.
The dynamic analysis is based on how Sphinx-Gallery resolves links
for its 'reference_url' configuration option.
Installation
pip install sphinx-autocodelink
Add the extension to your Sphinx conf.py:
extensions = [
...,
'sphinx_autocodelink',
]
Usage
Links only appear on code you actually run through one of the two mechanisms below. Each is opt-in
by use: nothing happens unless you write the directive, or add the scraper -- there's no
conf.py switch to flip.
The autocodelink directive
Write it wherever you want a code block executed and linked. It only affects that one block:
.. autocodelink::
import pkg
pkg.thing()
No figure or other output is produced, just a syntax-highlighted, linked code block. Doctest-style
content (>>>) also works, with prompts stripped before execution.
Sphinx-Gallery
Sphinx-Gallery already executes your example scripts; this hooks into that execution instead of
running anything itself. Add AutoCodeLinkScraper alongside your real image scraper(s):
from sphinx_autocodelink.gallery import AutoCodeLinkScraper
sphinx_gallery_conf = {
'image_scrapers': (AutoCodeLinkScraper(), ...), # ... = your other scraper(s), if any
}
Sphinx-Gallery's own parallel=True mode runs each example in a separate worker process, bypassing
Sphinx's usual mechanism for merging data back into the main build. AutoCodeLinkScraper writes its
records to disk instead, so they survive regardless.
If sphinx_gallery_conf['reference_url'] is also configured for a module AutoCodeLinkScraper
covers too, both will try to link the same identifiers. This extension runs its own embedding after
Sphinx-Gallery's, and skips anything already inside a link -- so the two don't produce broken,
nested <a> tags, but Sphinx-Gallery's own (usually less precise, since it's static analysis rather
than the real executed object) link wins wherever both would apply. Prefer intersphinx_mapping
over reference_url, which this extension already reads and which covers every page, not just
gallery pages -- then there's nothing to fall back to it for.
Backreferences index
.. autocodelink-index:: lists every linked name and the pages that reference it, filled in once
the whole site's links are known:
.. autocodelink-index::
Pass a documented dotted name to show just its own references -- handy on that name's own API page:
.. autocodelink-index:: pkg.thing
Add :label: to wrap the list in a real section with that title, instead of rendering inline --
important if anything in your setup (e.g. an "on this page" sidebar built from real headings) needs
a genuine section rather than inline content. Add :hide-empty: to omit the whole section, title
included, when there's nothing to show, instead of printing "No references found.":
.. autocodelink-index:: pkg.thing
:label: Used in
:hide-empty:
Set autocodelink_autodoc_backrefs = True to append exactly that -- a hidden-if-empty "Used in"
section -- to every autodoc-documented object's own docstring automatically, via
autodoc-process-docstring. Off by default; requires sphinx.ext.autodoc (directly, or via
something that depends on it, e.g. numpydoc).
Library use
A consumer that already executes example code for its own purposes (e.g. to render a figure) can
skip the directive and AutoCodeLinkScraper entirely, and call record_namespace() directly with
the resulting namespace. For example, pyvista's pyvista-plot directive
already builds its own namespace via exec(code, ns) to render a figure; adding autolinking is one
extra call after that:
from sphinx_autocodelink import record_namespace
record_namespace(env=env, docname=env.docname, source=code, namespace=ns)
Then, from the consumer's own setup(app), call app.setup_extension('sphinx_autocodelink'):
def setup(app):
app.setup_extension('sphinx_autocodelink')
app.add_directive('pyvista-plot', PlotDirective)
...
Development
uv sync --group dev
uv run pytest
uv run pre-commit run --all-files
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