#!/usr/bin/env python3
"""
Verify that embeddings exist in the Qdrant collections.
"""
import sys
from pathlib import Path
from mcp_server.core.path_utils import PathUtils
# Add project root to Python path
sys.path.insert(0, str(Path(__file__).parent.parent))
from qdrant_client import QdrantClient
def verify_embeddings():
"""Verify embeddings exist in all collections."""
print("=" * 60)
print("VERIFYING EMBEDDINGS IN QDRANT COLLECTIONS")
print("=" * 60)
qdrant_path = "PathUtils.get_workspace_root()/.indexes/qdrant/main.qdrant"
# Remove stale lock if it exists
lock_file = Path(qdrant_path) / ".lock"
if lock_file.exists():
try:
lock_file.unlink()
except OSError:
pass
try:
client = QdrantClient(path=qdrant_path)
collections = client.get_collections()
print(f"Found {len(collections.collections)} collections:\n")
for collection in collections.collections:
try:
info = client.get_collection(collection.name)
print(f"Collection: {collection.name}")
print(f" Points: {info.points_count}")
if info.points_count > 0:
# Get a sample point to verify it has embeddings
sample = client.scroll(
collection_name=collection.name,
limit=1,
with_vectors=True
)
if sample[0]:
point = sample[0][0]
vector_size = len(point.vector) if point.vector else 0
print(f" Vector dimension: {vector_size}")
print(f" ✅ Has embeddings: YES")
else:
print(f" ❌ Has embeddings: NO (empty)")
else:
print(f" ❌ Has embeddings: NO (0 points)")
print()
except Exception as e:
print(f" Error checking collection: {e}\n")
# Check specifically for the current codebase collection
print("Checking current codebase collection:")
print(f"Collection name: codebase-f7b49f5d0ae0")
try:
info = client.get_collection("codebase-f7b49f5d0ae0")
if info.points_count == 0:
print("❌ Current codebase collection is EMPTY!")
print(" This is why semantic search is not working.")
# Check if embeddings exist in code-embeddings collection
try:
code_info = client.get_collection("code-embeddings")
if code_info.points_count > 0:
print("\n✅ But 'code-embeddings' collection has data!")
print(f" Points: {code_info.points_count}")
# Sample to see what's in there
sample = client.scroll(
collection_name="code-embeddings",
limit=5,
with_payload=True
)
if sample[0]:
print(" Sample files:")
for i, point in enumerate(sample[0][:5]):
file_path = (
point.payload.get("file") or
point.payload.get("relative_path") or
point.payload.get("filepath") or
"unknown"
)
print(f" {i+1}. {file_path}")
# Check if any match current workspace
workspace_count = 0
check_sample = client.scroll(
collection_name="code-embeddings",
limit=100,
with_payload=True
)
for point in check_sample[0]:
file_path = (
point.payload.get("file") or
point.payload.get("relative_path") or
point.payload.get("filepath") or
""
)
if "mcp_server" in file_path.lower() or "code-index-mcp" in file_path.lower():
workspace_count += 1
if workspace_count > 0:
print(f"\n ✅ Found {workspace_count} files from current workspace!")
print(" → We should use 'code-embeddings' collection instead!")
except Exception as e:
print(f"Could not check code-embeddings: {e}")
except Exception as e:
print(f"Error checking current codebase collection: {e}")
except Exception as e:
print(f"❌ Failed to connect to Qdrant: {e}")
print("\n" + "=" * 60)
print("VERIFICATION COMPLETE")
print("=" * 60)
if __name__ == "__main__":
verify_embeddings()
