feat: Initial SCP project setup with AI-powered document compliance tools

src/reset_pinecone_index.py

@@ -0,0 +1,42 @@
+from pinecone import Pinecone
+from services.config import config
+import logging
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+    handlers=[
+        logging.FileHandler("reset_pinecone.log"),
+        logging.StreamHandler()
+    ]
+)
+
+def reset_pinecone_index():
+    try:
+        # Initialize Pinecone client
+        pinecone = Pinecone(api_key=config.PINECONE_API_KEY)
+        
+        # Check if index exists
+        if config.PINECONE_INDEX_NAME in pinecone.list_indexes().names():
+            logging.info(f"Deleting existing index '{config.PINECONE_INDEX_NAME}'")
+            pinecone.delete_index(config.PINECONE_INDEX_NAME)
+        
+        # Create a new index with the correct dimension
+        logging.info(f"Creating new index '{config.PINECONE_INDEX_NAME}' with dimension {config.VECTOR_DIMENSION}")
+        pinecone.create_index(
+            name=config.PINECONE_INDEX_NAME,
+            dimension=config.VECTOR_DIMENSION,
+            metric="cosine",
+            spec=ServerlessSpec(cloud="aws", region="us-east-1")
+        )
+        
+        logging.info("Pinecone index reset successfully")
+        return True
+    except Exception as e:
+        logging.error(f"Error resetting Pinecone index: {str(e)}")
+        return False
+
+if __name__ == "__main__":
+    from pinecone import ServerlessSpec
+    reset_pinecone_index()