feat: support keyword text match (#2256)

Signed-off-by: longjiquan <[email protected]>

Author: longjiquan

pymilvus/client/check.py

@@ -52,7 +52,12 @@ def is_correct_date_str(param: str) -> bool:
 
 
 def is_legal_dimension(dim: Any) -> bool:
-    return isinstance(dim, int)
+    try:
+        _ = int(dim)
+    except ValueError:
+        return False
+
+    return True
 
 
 def is_legal_index_size(index_size: Any) -> bool:

pymilvus/client/prepare.py

@@ -3,6 +3,7 @@
 from typing import Any, Dict, Iterable, List, Mapping, Optional, Union
 
 import numpy as np
+import ujson
 
 from pymilvus.exceptions import DataNotMatchException, ExceptionsMessage, ParamError
 from pymilvus.grpc_gen import common_pb2 as common_types
@@ -136,7 +137,7 @@ def get_schema_from_collection_schema(
             )
             for k, v in f.params.items():
                 kv_pair = common_types.KeyValuePair(
-                    key=str(k) if k != "mmap_enabled" else "mmap.enabled", value=str(v)
+                    key=str(k) if k != "mmap_enabled" else "mmap.enabled", value=ujson.dumps(v)
                 )
                 field_schema.type_params.append(kv_pair)
 

pymilvus/orm/constants.py

@@ -10,7 +10,7 @@
 # or implied. See the License for the specific language governing permissions and limitations under
 # the License.
 
-COMMON_TYPE_PARAMS = ("dim", "max_length", "max_capacity")
+COMMON_TYPE_PARAMS = ("dim", "max_length", "max_capacity", "enable_match", "analyzer_params")
 
 CALC_DIST_IDS = "ids"
 CALC_DIST_FLOAT_VEC = "float_vectors"

pymilvus/orm/schema.py

@@ -356,13 +356,12 @@ def _parse_type_params(self):
             return
         if not self._kwargs:
             return
-        # currently only support "dim", "max_length", "max_capacity"
         if self._kwargs:
             for k in COMMON_TYPE_PARAMS:
                 if k in self._kwargs:
                     if self._type_params is None:
                         self._type_params = {}
-                    self._type_params[k] = int(self._kwargs[k])
+                    self._type_params[k] = self._kwargs[k]
 
     @classmethod
     def construct_from_dict(cls, raw: Dict):