FIX: fix path suffix condition in core/read.py (#641)

* Fix for documents with unknown number of multiple suffixes > 1

* test

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* remove stray addition

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Brigitta Sipőcz <[email protected]>

myst_nb/core/read.py

@@ -68,7 +68,7 @@ def create_nb_reader(
     # we check suffixes ordered by longest first, to ensure we get the "closest" match
     iterator = sorted(readers.items(), key=lambda x: len(x[0]), reverse=True)
     for suffix, (reader, reader_kwargs, commonmark_only) in iterator:
-        if Path(path).suffix == suffix:
+        if str(Path(path)).endswith(suffix):
             if isinstance(reader, str):
                 # attempt to load the reader as an object path
                 reader = import_object(reader)

tests/conftest.py

@@ -39,6 +39,20 @@ def build_matplotlib_font_cache():
     FontManager()
 
 
+def _split_ext(conf, sphinx_params):
+    if custom_formats := conf.get("nb_custom_formats"):
+        split_files = [
+            file.rstrip(k)
+            for file in sphinx_params["files"]
+            for k in custom_formats.keys()
+            if file.endswith(k)
+        ]
+    else:
+        split_files = [os.path.splitext(file)[0] for file in sphinx_params["files"]]
+
+    return split_files[0], split_files
+
+
 @pytest.fixture()
 def get_test_path():
     def _get_test_path(name):
@@ -55,7 +69,7 @@ class SphinxFixture:
     def __init__(self, app, filenames):
         self.app = app
         self.env = app.env
-        self.files = [os.path.splitext(ff) for ff in filenames]
+        self.files = filenames
         self.software_versions = (
             f".sphinx{sphinx.version_info[0]}"  # software version tracking for fixtures
         )
@@ -79,42 +93,42 @@ def warnings(self):
 
     def invalidate_files(self):
         """Invalidate the files, such that it will be flagged for a re-read."""
-        for name, _ in self.files:
+        for name in self.files:
             self.env.all_docs.pop(name)
 
     def get_resolved_doctree(self, docname=None):
         """Load and return the built docutils.document, after post-transforms."""
-        docname = docname or self.files[0][0]
+        docname = docname or self.files[0]
         doctree = self.env.get_and_resolve_doctree(docname, self.app.builder)
         doctree["source"] = docname
         return doctree
 
     def get_doctree(self, docname=None):
         """Load and return the built docutils.document."""
-        docname = docname or self.files[0][0]
+        docname = docname or self.files[0]
         doctree = self.env.get_doctree(docname)
         doctree["source"] = docname
         return doctree
 
     def get_html(self, index=0):
         """Return the built HTML file."""
-        name = self.files[index][0]
+        name = self.files[index]
         _path = self.app.outdir / (name + ".html")
         if not _path.exists():
             pytest.fail("html not output")
         return bs4.BeautifulSoup(_path.read_text(), "html.parser")
 
     def get_nb(self, index=0):
         """Return the output notebook (after any execution)."""
-        name = self.files[index][0]
+        name = self.files[index]
         _path = self.app.srcdir / "_build" / "jupyter_execute" / (name + ".ipynb")
         if not _path.exists():
             pytest.fail("notebook not output")
         return _path.read_text(encoding="utf-8")
 
     def get_report_file(self, index=0):
         """Return the report file for a failed execution."""
-        name = self.files[index][0]
+        name = self.files[index]
         _path = self.app.outdir / "reports" / (name + ".err.log")
         if not _path.exists():
             pytest.fail("report log not output")
@@ -153,9 +167,11 @@ def sphinx_run(sphinx_params, make_app, tmp_path):
     conf = sphinx_params.get("conf", {})
     buildername = sphinx_params.get("buildername", "html")
 
+    master_doc, split_files = _split_ext(conf, sphinx_params)
+
     confoverrides = {
         "extensions": ["myst_nb"],
-        "master_doc": os.path.splitext(sphinx_params["files"][0])[0],
+        "master_doc": master_doc,
         "exclude_patterns": ["_build"],
         "nb_execution_show_tb": True,
     }
@@ -199,7 +215,7 @@ def sphinx_run(sphinx_params, make_app, tmp_path):
         buildername=buildername, srcdir=app_srcdir, confoverrides=confoverrides
     )
 
-    yield SphinxFixture(app, sphinx_params["files"])
+    yield SphinxFixture(app, split_files)
 
     # reset working directory
     os.chdir(current_dir)

tests/notebooks/custom-formats2.extra.exnt

@@ -0,0 +1,21 @@
+---
+title: "Test chunk options in Rmd/Jupyter conversion"
+author: "Marc Wouts"
+date: "June 16, 2018"
+jupyter:
+  kernelspec:
+    display_name: Python
+    language: python
+    name: python3
+---
+
+# Custom Formats
+
+```{python echo=TRUE}
+import pandas as pd
+x = pd.Series({'A':1, 'B':3, 'C':2})
+```
+
+```{python bar_plot, echo=FALSE, fig.height=5, fig.width=8}
+x.plot(kind='bar', title='Sample plot')
+```

tests/test_execute.py

@@ -365,3 +365,47 @@ def test_custom_convert_cache(sphinx_run, file_regression, check_nbs):
     assert data
     assert data["method"] == "cache"
     assert data["succeeded"] is True
+
+
+@pytest.mark.sphinx_params(
+    "custom-formats2.extra.exnt",
+    conf={
+        "nb_execution_mode": "auto",
+        "nb_custom_formats": {".extra.exnt": ["jupytext.reads", {"fmt": "Rmd"}]},
+    },
+)
+def test_custom_convert_multiple_extensions_auto(
+    sphinx_run, file_regression, check_nbs
+):
+    """The outputs should be populated."""
+    sphinx_run.build()
+    assert sphinx_run.warnings() == ""
+    regress_nb_doc(file_regression, sphinx_run, check_nbs)
+
+    assert NbMetadataCollector.new_exec_data(sphinx_run.env)
+    data = NbMetadataCollector.get_exec_data(sphinx_run.env, "custom-formats2")
+    assert data
+    assert data["method"] == "auto"
+    assert data["succeeded"] is True
+
+
+@pytest.mark.sphinx_params(
+    "custom-formats2.extra.exnt",
+    conf={
+        "nb_execution_mode": "cache",
+        "nb_custom_formats": {".extra.exnt": ["jupytext.reads", {"fmt": "Rmd"}]},
+    },
+)
+def test_custom_convert_multiple_extensions_cache(
+    sphinx_run, file_regression, check_nbs
+):
+    """The outputs should be populated."""
+    sphinx_run.build()
+    assert sphinx_run.warnings() == ""
+    regress_nb_doc(file_regression, sphinx_run, check_nbs)
+
+    assert NbMetadataCollector.new_exec_data(sphinx_run.env)
+    data = NbMetadataCollector.get_exec_data(sphinx_run.env, "custom-formats2")
+    assert data
+    assert data["method"] == "cache"
+    assert data["succeeded"] is True

tests/test_execute/test_custom_convert_multiple_extensions_auto.ipynb

@@ -0,0 +1,102 @@
+{
+ "cells": [
+  {
+   "cell_type": "raw",
+   "id": "d0aefb9b",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "title: \"Test chunk options in Rmd/Jupyter conversion\"\n",
+    "author: \"Marc Wouts\"\n",
+    "date: \"June 16, 2018\"\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c67b3701",
+   "metadata": {},
+   "source": [
+    "# Custom Formats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "ef881a36",
+   "metadata": {
+    "echo": true
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "x = pd.Series({'A':1, 'B':3, 'C':2})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f7710843",
+   "metadata": {
+    "fig.height": 5,
+    "fig.width": 8,
+    "name": "bar_plot",
+    "tags": [
+     "remove_input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: title={'center': 'Sample plot'}>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x.plot(kind='bar', title='Sample plot')"
+   ]
+  }
+ ],
+ "metadata": {
+  "jupytext": {
+   "text_representation": {
+    "extension": ".Rmd",
+    "format_name": "rmarkdown"
+   }
+  },
+  "kernelspec": {
+   "display_name": "Python",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}