Potential fixes for 2 code quality findings (#543)

* Apply suggested fix to metpo/pipeline/cross_ontology_search.py from Copilot Autofix

Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>

* Apply suggested fix to metpo/pipeline/cross_ontology_search.py from Copilot Autofix

Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>

---------

Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>

Author: turbomam

metpo/pipeline/cross_ontology_search.py

@@ -9,7 +9,7 @@
 
 1. retrieves candidate classes from the EBI OLS4 search API (covers ~270 ontologies),
 2. re-ranks the candidates by semantic similarity using a LOCAL embedding model
-   served by Ollama (default: nomic-embed-text, runs on the M5 GPU; no OpenAI, no
+   served by Ollama (default: nomic-embed-text, runs on local GPU-capable hardware; no OpenAI, no
    300GB OLS SQLite, no ChromaDB),
 
 and emits, per match: the external IRI/CURIE, label, definition, ontology, and a
@@ -82,7 +82,11 @@ def embed(text, model, embed_url=DEFAULT_EMBED_URL):
     try:
         with urllib.request.urlopen(req, timeout=20) as r:
             return json.load(r).get("embedding")
-    except Exception:
+    except (urllib.error.URLError, TimeoutError, json.JSONDecodeError) as e:
+        print(
+            f"warning: embedding request failed for model={model!r} at {embed_url!r}: {e}",
+            file=sys.stderr,
+        )
         return None