fix: repair pre-existing e2e test failures

Bump pymilvus from 2.4.4 to 2.5.4 in test requirements — the old
version depended on milvus-lite<2.5.0, causing pip to downgrade the
freshly built 2.5.2 wheel to 2.4.12 from PyPI so tests never ran
against the CI-built code.

Guard the `from pymilvus import Milvus` import in util_pymilvus.py
with try/except — the legacy Milvus class was removed in pymilvus 2.5
and its top-level import crashed conftest.py before any test could run.

Fix test_milvus_client_collection_self_creation_default:
- DataType.Array → DataType.ARRAY (enum naming)
- metric_type "cosine" → "COSINE" (case-sensitive in C++)
- Correct check_items to match schema field names (id_string,
  embeddings) and enable_dynamic_field=False
- Fix list_indexes assertion to match actual field name

Co-authored-by: Cursor <cursoragent@cursor.com>

Author: MrLoh

tests/milvus_lite/test_milvus_lite_collection.py

@@ -301,21 +301,24 @@ def test_milvus_client_collection_self_creation_default(self, enable_milvus_loca
         schema.add_field("id_string", DataType.VARCHAR, max_length=64, is_primary=True, auto_id = False)
         schema.add_field("embeddings", DataType.FLOAT_VECTOR, dim=128)
         schema.add_field("title", DataType.VARCHAR, max_length=64, is_partition_key=True)
-        schema.add_field("array_field", DataType.Array, max_capacity=12,
+        schema.add_field("array_field", DataType.ARRAY, max_capacity=12,
                          element_type_params={"type": DataType.VARCHAR, "max_length": 64})
         index_params = client_w.prepare_index_params()
-        index_params.add_index("embeddings", metric_type="cosine")
+        index_params.add_index("embeddings", metric_type="COSINE")
         index_params.add_index("title")
         client_w.create_collection(client, collection_name, schema=schema, index_params=index_params)
         collections = client_w.list_collections(client)[0]
         assert collection_name in collections
         client_w.describe_collection(client, collection_name,
                                      check_task=CheckTasks.check_describe_collection_property,
                                      check_items={"collection_name": collection_name,
+                                                  "enable_dynamic_field": False,
+                                                  "id_name": "id_string",
+                                                  "vector_name": "embeddings",
                                                   "dim": 128,
                                                   "consistency_level": 0})
         index = client_w.list_indexes(client, collection_name)[0]
-        assert index == ['vector']
+        assert "embeddings" in index
         # load_state = client_w.get_load_state(collection_name)[0]
         if client_w.has_collection(client, collection_name)[0]:
             client_w.drop_collection(client, collection_name)

tests/requirements.txt

@@ -12,7 +12,7 @@ allure-pytest==2.7.0
 pytest-print==0.2.1
 pytest-level==0.1.1
 pytest-xdist==2.5.0
-pymilvus==2.4.4
+pymilvus==2.5.4
 pytest-rerunfailures==9.1.1
 git+https://github.com/Projectplace/pytest-tags
 ndg-httpsclient

tests/utils/util_pymilvus.py

@@ -8,7 +8,11 @@
 import numpy as np
 import requests
 from sklearn import preprocessing
-from pymilvus import Milvus, DataType
+from pymilvus import DataType
+try:
+    from pymilvus import Milvus
+except ImportError:
+    Milvus = None
 from utils.util_log import test_log as log
 from utils.util_k8s import init_k8s_client_config