fix: cannot pass consistency level for delete

pymilvus/client/check.py

@@ -9,6 +9,27 @@
 from .singleton_utils import Singleton
 
 
+def validate_strs(**kwargs):
+    """validate if all values are legal non-emtpy str"""
+    invalid_pair = {k: v for k, v in kwargs.items() if not validate_str(v)}
+    if invalid_pair:
+        msg = f"Illegal str variables: {invalid_pair}, expect non-empty str"
+        raise ParamError(message=msg)
+
+
+def validate_nullable_strs(**kwargs):
+    """validate if all values are either None or legal non-empty str"""
+    invalid_pair = {k: v for k, v in kwargs.items() if v is not None and not validate_str(v)}
+    if invalid_pair:
+        msg = f"Illegal nullable str variables: {invalid_pair}, expect None or non-empty str"
+        raise ParamError(message=msg)
+
+
+def validate_str(var: Any) -> bool:
+    """check if a variable is legal non-empty str"""
+    return var and isinstance(var, str)
+
+
 def is_legal_address(addr: Any) -> bool:
     if not isinstance(addr, str):
         return False
@@ -65,7 +86,7 @@ def is_legal_index_size(index_size: Any) -> bool:
 
 
 def is_legal_table_name(table_name: Any) -> bool:
-    return table_name and isinstance(table_name, str)
+    return validate_str(table_name)
 
 
 def is_legal_db_name(db_name: Any) -> bool:

pymilvus/client/grpc_handler.py

@@ -596,17 +596,15 @@ def delete(
         check_pass_param(collection_name=collection_name, timeout=timeout)
         try:
             req = Prepare.delete_request(
-                collection_name,
-                partition_name,
-                expression,
-                consistency_level=kwargs.get("consistency_level", 0),
-                param_name=kwargs.pop("param_name", None),
+                collection_name=collection_name,
+                filter=expression,
+                partition_name=partition_name,
+                consistency_level=kwargs.pop("consistency_level", 0),
                 **kwargs,
             )
             future = self._stub.Delete.future(req, timeout=timeout)
-
             if kwargs.get("_async", False):
-                cb = kwargs.get("_callback")
+                cb = kwargs.pop("_callback")
                 f = MutationFuture(future, cb, timeout=timeout, **kwargs)
                 f.add_callback(ts_utils.update_ts_on_mutation(collection_name))
                 return f

pymilvus/client/prepare.py

@@ -12,7 +12,7 @@
 from pymilvus.orm.schema import CollectionSchema
 from pymilvus.orm.types import infer_dtype_by_scalar_data
 
-from . import __version__, blob, entity_helper, ts_utils, utils
+from . import __version__, blob, check, entity_helper, ts_utils, utils
 from .check import check_pass_param, is_legal_collection_properties
 from .constants import (
     DEFAULT_CONSISTENCY_LEVEL,
@@ -734,29 +734,21 @@ def batch_upsert_param(
     def delete_request(
         cls,
         collection_name: str,
-        partition_name: str,
-        expr: str,
-        consistency_level: Optional[Union[int, str]],
+        filter: str,
+        partition_name: Optional[str] = None,
+        consistency_level: Optional[Union[int, str]] = None,
         **kwargs,
     ):
-        def check_str(instr: str, prefix: str):
-            if instr is None:
-                raise ParamError(message=f"{prefix} cannot be None")
-            if not isinstance(instr, str):
-                raise ParamError(message=f"{prefix} value {instr} is illegal")
-            if len(instr) == 0:
-                raise ParamError(message=f"{prefix} cannot be empty")
-
-        check_str(collection_name, "collection_name")
-        if partition_name is not None and partition_name != "":
-            check_str(partition_name, "partition_name")
-        param_name = kwargs.get("param_name", "expr")
-        check_str(expr, param_name)
+        check.validate_strs(
+            collection_name=collection_name,
+            filter=filter,
+        )
+        check.validate_nullable_strs(partition_name=partition_name)
 
         return milvus_types.DeleteRequest(
             collection_name=collection_name,
             partition_name=partition_name,
-            expr=expr,
+            expr=filter,
             consistency_level=get_consistency_level(consistency_level),
             expr_template_values=cls.prepare_expression_template(kwargs.get("expr_params", {})),
         )

pymilvus/milvus_client/milvus_client.py

@@ -400,8 +400,8 @@ def search(
                 limit=limit,
                 output_fields=output_fields,
                 partition_names=partition_names,
-                timeout=timeout,
                 expr_params=kwargs.pop("filter_params", {}),
+                timeout=timeout,
                 **kwargs,
             )
         except Exception as ex:
@@ -543,10 +543,10 @@ def delete(
         collection_name: str,
         ids: Optional[Union[list, str, int]] = None,
         timeout: Optional[float] = None,
-        filter: Optional[str] = "",
-        partition_name: Optional[str] = "",
+        filter: Optional[str] = None,
+        partition_name: Optional[str] = None,
         **kwargs,
-    ) -> Dict:
+    ) -> Dict[str, int]:
         """Delete entries in the collection by their pk or by filter.
 
         Starting from version 2.3.2, Milvus no longer includes the primary keys in the result
@@ -558,14 +558,17 @@ def delete(
         Milvus(previous 2.3.2) is not empty, the list of primary keys is still returned.
 
         Args:
-            ids (list, str, int): The pk's to delete. Depending on pk_field type it can be int
-                or str or alist of either. Default to None.
-            filter(str, optional): A filter to use for the deletion. Defaults to empty.
+            ids (list, str, int, optional): The pk's to delete.
+                Depending on pk_field type it can be int or str or a list of either.
+                Default to None.
+            filter(str, optional): A filter to use for the deletion. Defaults to none.
             timeout (int, optional): Timeout to use, overides the client level assigned at init.
                 Defaults to None.
 
+            Note: You need to passin either ids or filter, and they cannot be used at the same time.
+
         Returns:
-            Dict: Number of rows that were deleted.
+            Dict: with key 'deleted_count' and value number of rows that were deleted.
         """
         pks = kwargs.get("pks", [])
         if isinstance(pks, (int, str)):
@@ -589,35 +592,32 @@ def delete(
                 msg = f"wrong type of argument ids, expect list, int or str, got '{type(ids).__name__}'"
                 raise TypeError(msg)
 
+        # validate ambiguous delete filter param before describe collection rpc
+        if filter and len(pks) > 0:
+            raise ParamError(message=ExceptionsMessage.AmbiguousDeleteFilterParam)
+
         expr = ""
         conn = self._get_connection()
-        if pks:
+        if len(pks) > 0:
             try:
                 schema_dict = conn.describe_collection(collection_name, timeout=timeout, **kwargs)
             except Exception as ex:
                 logger.error("Failed to describe collection: %s", collection_name)
                 raise ex from ex
-
             expr = self._pack_pks_expr(schema_dict, pks)
-
-        if filter:
-            if expr:
-                raise ParamError(message=ExceptionsMessage.AmbiguousDeleteFilterParam)
-
+        else:
             if not isinstance(filter, str):
                 raise DataTypeNotMatchException(message=ExceptionsMessage.ExprType % type(filter))
-
             expr = filter
 
         ret_pks = []
         try:
             res = conn.delete(
-                collection_name,
-                expr,
-                partition_name,
-                timeout=timeout,
-                param_name="filter or ids",
+                collection_name=collection_name,
+                expression=expr,
+                partition_name=partition_name,
                 expr_params=kwargs.pop("filter_params", {}),
+                timeout=timeout,
                 **kwargs,
             )
             if res.primary_keys:
@@ -626,6 +626,7 @@ def delete(
             logger.error("Failed to delete primary keys in collection: %s", collection_name)
             raise ex from ex
 
+        # compatible with deletions that returns primary keys
         if ret_pks:
             return ret_pks
 

tests/test_prepare.py

@@ -8,6 +8,18 @@
 
 
 class TestPrepare:
+    @pytest.mark.parametrize("coll_name", [None, "", -1, 1.1, []])
+    @pytest.mark.parametrize("expr", [None, "", -1, 1.1, []])
+    def test_delete_request_wrong_coll_name(self, coll_name: str, expr: str):
+        with pytest.raises(MilvusException):
+            Prepare.delete_request(coll_name, expr, None, 0)
+
+    @pytest.mark.parametrize("part_name", [])
+    def test_delete_request_wrong_part_name(self, part_name):
+        with pytest.raises(MilvusException):
+            Prepare.delete_request("coll", "id>1", part_name, 0)
+
+
     def test_search_requests_with_expr_offset(self):
         fields = [
             FieldSchema("pk", DataType.INT64, is_primary=True),
@@ -42,7 +54,7 @@ def test_search_requests_with_expr_offset(self):
                 params = json.loads(p.value)
                 if PAGE_RETAIN_ORDER_FIELD in params:
                     page_retain_order_exists = True
-                    assert  params[PAGE_RETAIN_ORDER_FIELD] == True
+                    assert  params[PAGE_RETAIN_ORDER_FIELD] is True
 
         assert offset_exists is True
         assert page_retain_order_exists is True
@@ -112,7 +124,7 @@ def test_get_schema_from_collection_schema(self):
 
         c_schema = Prepare.get_schema_from_collection_schema("random", schema)
 
-        assert c_schema.enable_dynamic_field == False
+        assert c_schema.enable_dynamic_field is False
         assert c_schema.name == "random"
         assert len(c_schema.fields) == 2
         assert c_schema.fields[0].name == "field_vector"
@@ -190,7 +202,7 @@ def test_row_insert_param_with_auto_id(self):
         ]
 
         Prepare.row_insert_param("", rows, "", fields_info=schema.to_dict()["fields"], enable_dynamic=True)
-        
+
     def test_row_insert_param_with_none(self):
         import numpy as np
         rng = np.random.default_rng(seed=19530)