tests for has-vector

tests/congruence_tests/test_has_vector.py

@@ -0,0 +1,56 @@
+from qdrant_client import models
+from tests.congruence_tests.test_common import (
+    COLLECTION_NAME,
+    compare_client_results,
+    generate_fixtures,
+    generate_sparse_fixtures,
+    init_local,
+    init_client,
+    init_remote,
+    sparse_vectors_config,
+)
+
+
+def test_has_vector(local_client, remote_client):
+    points = generate_fixtures(100, skip_vectors=True)
+
+    local_client.upload_points(COLLECTION_NAME, points)
+    remote_client.upload_points(COLLECTION_NAME, points, wait=True)
+
+    local_client.upload_points(COLLECTION_NAME, points)
+    remote_client.upload_points(COLLECTION_NAME, points, wait=True)
+
+    compare_client_results(
+        local_client,
+        remote_client,
+        lambda c: c.scroll(
+            COLLECTION_NAME,
+            limit=50,
+            scroll_filter=models.Filter(must=[models.HasVectorCondition(has_vector="image")]),
+        ),
+    )
+
+
+def test_has_vector_sparse():
+    points = generate_sparse_fixtures(100, skip_vectors=True)
+
+    local_client = init_local()
+    init_client(local_client, [], sparse_vectors_config=sparse_vectors_config)
+
+    remote_client = init_remote()
+    init_client(remote_client, [], sparse_vectors_config=sparse_vectors_config)
+
+    local_client.upload_points(COLLECTION_NAME, points)
+    remote_client.upload_points(COLLECTION_NAME, points, wait=True)
+
+    compare_client_results(
+        local_client,
+        remote_client,
+        lambda c: c.scroll(
+            COLLECTION_NAME,
+            limit=50,
+            scroll_filter=models.Filter(
+                must=[models.HasVectorCondition(has_vector="sparse-image")]
+            ),
+        ),
+    )