prepare for automatic context generation

sphinx/requirements.txt

@@ -9,6 +9,7 @@ idna==3.6
 imagesize==1.4.1
 importlib-metadata==6.7.0
 Jinja2==3.1.3
+json
 MarkupSafe==2.1.3
 nbsphinx
 packaging==23.2
@@ -17,6 +18,7 @@ pydata-sphinx-theme==0.13.3
 Pygments==2.17.2
 pytz==2023.3.post1
 requests==2.31.0
+rdflib
 snowballstemmer==2.2.0
 soupsieve==2.4.1
 Sphinx==5.3.0

sphinx/ttl_to_context.py

@@ -0,0 +1,98 @@
+import rdflib
+from rdflib.namespace import RDF, OWL, SKOS
+import json
+import os
+from urllib.parse import urljoin
+from urllib.request import pathname2url
+import warnings
+
+
+def generate_jsonld_context(ttl_file, predicate_uri, label_uri='http://www.w3.org/2000/01/rdf-schema#label'):
+    """
+    Generate a JSON-LD context file from a Turtle file.
+
+    Args:
+    - ttl_file: Path to the Turtle (.ttl) file.
+    - predicate_uri: The URI of the predicate to map to JSON-LD.
+    - label_uri: The URI for the label (default is rdfs:label).
+
+    Returns:
+    - A Python dictionary representing the JSON-LD context.
+    """
+    g = rdflib.Graph()
+    g.parse(ttl_file, format='ttl')
+
+    CHAMEO = rdflib.Namespace("https://w3id.org/emmo/domain/chameo#")
+    g.bind('chameo', CHAMEO)
+
+    context = {}
+    object_properties  = {}
+    other_entries = {}
+    namespace_prefixes= {}
+    predicate = rdflib.URIRef(predicate_uri)
+    label = rdflib.URIRef(label_uri)
+    existing_keys = set()
+
+    for s, p, o in g:
+        if (s, RDF.type, OWL.ObjectProperty) in g:
+            # If the subject is an OWL.ObjectProperty
+            label_value = g.value(s, SKOS.prefLabel)
+            if label_value:
+                object_properties[str(label_value)] = {
+                    "@id": str(s),
+                    "@type": "@id"
+                }
+
+
+        elif p == predicate:
+            # Normal context entry
+            # Use the label as key if it exists
+            #label_value = g.value(s, label) if g.value(s, label) else str(s)
+            label_value = str(s)
+            other_entries[str(o)] = str(label_value)
+
+
+    # Add namespace prefixes to the context
+    for prefix, uri in g.namespace_manager.namespaces():
+        if len(prefix) >= 2:
+            namespace_prefixes[prefix] = str(uri)
+
+    # Sort the entries alphabetically
+    sorted_object_properties = dict(sorted(object_properties.items()))
+    sorted_other_entries = dict(sorted(other_entries.items()))
+    sorted_namespace_prefixes = dict(sorted(namespace_prefixes.items()))
+
+    # Merge the sorted entries
+    context = {
+        "@context": {
+            **sorted_namespace_prefixes,
+            **sorted_object_properties,
+            **sorted_other_entries
+        }
+    }
+
+    print("Namespaces:")
+    for prefix, uri in g.namespace_manager.namespaces():
+        print(f"{prefix}: {uri}")
+
+
+    return context
+
+
+# Example usage
+filename = 'electrochemistry-inferred.ttl'
+parent_dir = os.path.dirname(os.path.abspath(__file__))
+file_path = os.path.join(parent_dir, '..', filename)
+
+# Convert the file path to a file URI
+file_uri = urljoin('file:', pathname2url(file_path))
+
+predicate_uri = 'http://www.w3.org/2004/02/skos/core#prefLabel'
+context = generate_jsonld_context(file_uri, predicate_uri)
+
+context_file_path = os.path.join(os.path.dirname(file_path), 'context.json')
+
+# Save to JSON file
+with open(context_file_path, 'w') as f:
+    json.dump(context, f, indent=4)
+