Upload pipeline/memory.py with huggingface_hub

pipeline/memory.py

@@ -93,6 +93,32 @@ def get_context(patient_id: str, n_sessions: int = 3) -> dict:
     }
 
 
+def get_all_summaries(patient_id: str) -> list[dict]:
+    """
+    Returns a chronological list of all session summaries with metadata.
+    """
+    col = _get_collection()
+    results = col.get(
+        where={"patient_id": patient_id},
+        include=["documents", "metadatas"]
+    )
+
+    summaries = []
+    if results["documents"]:
+        for doc, meta in zip(results["documents"], results["metadatas"]):
+            summaries.append({
+                "summary": doc,
+                "timestamp": meta.get("timestamp"),
+                "emotional_state": meta.get("emotional_state"),
+                "confusion_level": meta.get("confusion_level"),
+                "facts": json.loads(meta.get("facts", "[]"))
+            })
+    
+    # Sort by timestamp (ISO format strings sort correctly)
+    summaries.sort(key=lambda x: x["timestamp"], reverse=True)
+    return summaries
+
+
 # ---------------------------------------------------------------------------
 # System prompt builder
 # ---------------------------------------------------------------------------