From e0ba70dcf3c62b7ccef408e84a80a03bf3cd3a87 Mon Sep 17 00:00:00 2001
From: Cyber MacGeddon <cybermaggedon@gmail.com>
Date: Wed, 30 Jul 2025 22:52:03 +0100
Subject: [PATCH] Logging strategy updates

---
 trustgraph-embeddings-hf/trustgraph/embeddings/hf/hf.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/trustgraph-embeddings-hf/trustgraph/embeddings/hf/hf.py b/trustgraph-embeddings-hf/trustgraph/embeddings/hf/hf.py
index 0ab3cef9..f1abbfae 100755
--- a/trustgraph-embeddings-hf/trustgraph/embeddings/hf/hf.py
+++ b/trustgraph-embeddings-hf/trustgraph/embeddings/hf/hf.py
@@ -4,10 +4,14 @@ Embeddings service, applies an embeddings model selected from HuggingFace.
 Input is text, output is embeddings vector.
 """
 
+import logging
 from ... base import EmbeddingsService
 
 from langchain_huggingface import HuggingFaceEmbeddings
 
+# Module logger
+logger = logging.getLogger(__name__)
+
 default_ident = "embeddings"
 
 default_model="all-MiniLM-L6-v2"
@@ -22,13 +26,13 @@ class Processor(EmbeddingsService):
             **params | { "model": model }
         )
 
-        print("Get model...", flush=True)
+        logger.info(f"Loading HuggingFace embeddings model: {model}")
         self.embeddings = HuggingFaceEmbeddings(model_name=model)
 
     async def on_embeddings(self, text):
 
         embeds = self.embeddings.embed_documents([text])
-        print("Done.", flush=True)
+        logger.debug("Embeddings generation complete")
         return embeds
 
     @staticmethod