[Feature] Changes required for non public tenants (#370)

Co-authored-by: Tim Lorsbach <tim@lorsba.ch>
Reviewed-on: enviPath/enviPy#370

epdb/models.py

@@ -1112,6 +1112,7 @@ class CompoundStructure(
     canonical_smiles = models.TextField(blank=False, null=False, verbose_name="Canonical SMILES")
     inchikey = models.TextField(max_length=27, blank=False, null=False, verbose_name="InChIKey")
     normalized_structure = models.BooleanField(null=False, blank=False, default=False)
+    molfile = models.TextField(blank=True, null=True, verbose_name="Molfile")
 
     external_identifiers = GenericRelation("ExternalIdentifier")
 
@@ -1208,6 +1209,9 @@ class CompoundStructure(
 
         return dict(hls)
 
+    def d3_json(self):
+        return {}
+
 
 class EnzymeLink(EnviPathModel, KEGGIdentifierMixin):
     rule = models.ForeignKey("Rule", on_delete=models.CASCADE, db_index=True)
@@ -2214,7 +2218,11 @@ class Node(EnviPathModel, AliasMixin, ScenarioMixin, AdditionalInformationMixin)
             if isinstance(ai.get(), PropertyPrediction):
                 predicted_properties[ai.get().__class__.__name__].append(ai.data)
 
-        return {
+        # If we have Subclasses of a CompoundStructure we can overwrite keys (e.g. images)
+        # by overwriting keys
+        structure_data = self.default_node_label.d3_json()
+
+        res = {
             "depth": self.depth,
             "stereo_removed": self.stereo_removed,
             "url": self.url,
@@ -2223,6 +2231,7 @@ class Node(EnviPathModel, AliasMixin, ScenarioMixin, AdditionalInformationMixin)
             "image_svg": IndigoUtils.mol_to_svg(
                 self.default_node_label.smiles, width=40, height=40
             ),
+            "image_type": "svg",
             "name": self.get_name(),
             "smiles": self.default_node_label.smiles,
             "scenarios": [{"name": s.get_name(), "url": s.url} for s in self.scenarios.all()],
@@ -2235,8 +2244,11 @@ class Node(EnviPathModel, AliasMixin, ScenarioMixin, AdditionalInformationMixin)
             "predicted_properties": predicted_properties,
             "is_engineered_intermediate": self.kv.get("is_engineered_intermediate", False),
             "timeseries": self.get_timeseries_data(),
+            **structure_data,
         }
 
+        return res
+
     @staticmethod
     @transaction.atomic
     def create(