[gemini] Implement semantic index for research outputs (#976) (#1227)

index_research_docs.py

@@ -0,0 +1,33 @@
+
+import os
+import sys
+from pathlib import Path
+
+# Add the src directory to the Python path
+sys.path.insert(0, str(Path(__file__).parent / "src"))
+
+from timmy.memory_system import memory_store
+
+def index_research_documents():
+    research_dir = Path("docs/research")
+    if not research_dir.is_dir():
+        print(f"Research directory not found: {research_dir}")
+        return
+
+    print(f"Indexing research documents from {research_dir}...")
+    indexed_count = 0
+    for file_path in research_dir.glob("*.md"):
+        try:
+            content = file_path.read_text()
+            topic = file_path.stem.replace("-", " ").title() # Derive topic from filename
+            print(f"Storing '{topic}' from {file_path.name}...")
+            # Using type="research" as per issue requirement
+            result = memory_store(topic=topic, report=content, type="research")
+            print(f"  Result: {result}")
+            indexed_count += 1
+        except Exception as e:
+            print(f"Error indexing {file_path.name}: {e}")
+    print(f"Finished indexing. Total documents indexed: {indexed_count}")
+
+if __name__ == "__main__":
+    index_research_documents()