Add async Collection with several methods

Add a test case that invokes
insert, create_index, load, search methods
(from original Collection docstring).

pymilvus/asyncio/__init__.py

@@ -0,0 +1,2 @@
+from .orm.collection import Collection
+from .orm.connections import connections, Connections

pymilvus/asyncio/client/grpc_handler.py

@@ -1,9 +1,28 @@
+import asyncio
+import copy
+
 import grpc.aio
 
 from ...client.grpc_handler import (
     AbstractGrpcHandler,
     Status,
     MilvusException,
+    # retry_on_rpc_failure,
+    check_pass_param,
+    get_consistency_level,
+    ts_utils,
+    Prepare,
+    CollectionSchema,
+    DescribeCollectionException,
+    ChunkedQueryResult,
+    common_pb2,
+    check_invalid_binary_vector,
+    ParamError,
+    milvus_types,
+    MutationResult,
+    DefaultConfigs,
+    DataType,
+    check_index_params,
 )
 
 
@@ -21,3 +40,163 @@ async def _channel_ready(self):
 
     def _header_adder_interceptor(self, header, value):
         raise NotImplementedError  # TODO
+
+    # TODO: @retry_on_rpc_failure()
+    async def create_collection(self, collection_name, fields, shards_num=2, timeout=None, **kwargs):
+        request = Prepare.create_collection_request(collection_name, fields, shards_num=shards_num, **kwargs)
+
+        status = await self._stub.CreateCollection(request, timeout=timeout)
+        if status.error_code != 0:
+            raise MilvusException(status.error_code, status.reason)
+
+    # TODO: @retry_on_rpc_failure()
+    async def has_collection(self, collection_name, timeout=None, **kwargs):
+        check_pass_param(collection_name=collection_name)
+        request = Prepare.describe_collection_request(collection_name)
+        reply = await self._stub.DescribeCollection(request, timeout=timeout)
+
+        if reply.status.error_code == common_pb2.Success:
+            return True
+
+        # TODO: Workaround for unreasonable describe collection results and error_code
+        if reply.status.error_code == common_pb2.UnexpectedError and "can\'t find collection" in reply.status.reason:
+            return False
+
+        raise MilvusException(reply.status.error_code, reply.status.reason)
+
+    # TODO: @retry_on_rpc_failure()
+    async def describe_collection(self, collection_name, timeout=None, **kwargs):
+        check_pass_param(collection_name=collection_name)
+        request = Prepare.describe_collection_request(collection_name)
+        response = await self._stub.DescribeCollection(request, timeout=timeout)
+
+        status = response.status
+        if status.error_code != 0:
+            raise DescribeCollectionException(status.error_code, status.reason)
+
+        return CollectionSchema(raw=response).dict()
+
+    # TODO: @retry_on_rpc_failure()
+    async def batch_insert(self, collection_name, entities, partition_name=None, timeout=None, **kwargs):
+        if not check_invalid_binary_vector(entities):
+            raise ParamError(message="Invalid binary vector data exists")
+        insert_param = kwargs.get('insert_param', None)
+        if insert_param and not isinstance(insert_param, milvus_types.RowBatch):
+            raise ParamError(message="The value of key 'insert_param' is invalid")
+        if not isinstance(entities, list):
+            raise ParamError(message="None entities, please provide valid entities.")
+
+        collection_schema = kwargs.get("schema", None)
+        if not collection_schema:
+            collection_schema = await self.describe_collection(collection_name, timeout=timeout, **kwargs)
+
+        fields_info = collection_schema["fields"]
+        request = insert_param or Prepare.batch_insert_param(collection_name, entities, partition_name, fields_info)
+        response = await self._stub.Insert(request, timeout=timeout)
+        if response.status.error_code != 0:
+            raise MilvusException(response.status.error_code, response.status.reason)
+        m = MutationResult(response)
+        ts_utils.update_collection_ts(collection_name, m.timestamp)
+        return m
+
+    async def _execute_search_requests(self, requests, timeout=None, *, auto_id=True, round_decimal=-1, **kwargs):
+        async def _raise_milvus_exception_on_error_response(awaitable_response):
+            response = await awaitable_response
+            if response.status.error_code != 0:
+                raise MilvusException(response.status.error_code, response.status.reason)
+            return response
+
+        raws: list = await asyncio.gather(*(
+            _raise_milvus_exception_on_error_response(
+                self._stub.Search(request, timeout=timeout)
+            )
+            for request in requests
+        ))
+        return ChunkedQueryResult(raws, auto_id, round_decimal)
+
+    # TODO: @retry_on_rpc_failure(retry_on_deadline=False)
+    async def search(
+        self, collection_name, data, anns_field, param, limit,
+        expression=None, partition_names=None, output_fields=None,
+        round_decimal=-1, timeout=None, schema=None, **kwargs,
+    ):
+        check_pass_param(
+            limit=limit,
+            round_decimal=round_decimal,
+            anns_field=anns_field,
+            search_data=data,
+            partition_name_array=partition_names,
+            output_fields=output_fields,
+            travel_timestamp=kwargs.get("travel_timestamp", 0),
+            guarantee_timestamp=kwargs.get("guarantee_timestamp", 0)
+        )
+
+        if schema is None:
+            schema = await self.describe_collection(collection_name, timeout=timeout, **kwargs)
+
+        consistency_level = schema["consistency_level"]
+        # overwrite the consistency level defined when user created the collection
+        consistency_level = get_consistency_level(kwargs.get("consistency_level", consistency_level))
+
+        ts_utils.construct_guarantee_ts(consistency_level, collection_name, kwargs)
+
+        requests = Prepare.search_requests_with_expr(collection_name, data, anns_field, param, limit, schema,
+                                                     expression, partition_names, output_fields, round_decimal,
+                                                     **kwargs)
+
+        auto_id = schema["auto_id"]
+        return await self._execute_search_requests(
+            requests, timeout, round_decimal=round_decimal, auto_id=auto_id, **kwargs,
+        )
+
+    # TODO: @retry_on_rpc_failure()
+    async def create_index(self, collection_name, field_name, params, timeout=None, **kwargs):
+        # for historical reason, index_name contained in kwargs.
+        index_name = kwargs.pop("index_name", DefaultConfigs.IndexName)
+        copy_kwargs = copy.deepcopy(kwargs)
+
+        collection_desc = await self.describe_collection(collection_name, timeout=timeout, **copy_kwargs)
+
+        valid_field = False
+        for fields in collection_desc["fields"]:
+            if field_name != fields["name"]:
+                continue
+            valid_field = True
+            if fields["type"] != DataType.FLOAT_VECTOR and fields["type"] != DataType.BINARY_VECTOR:
+                break
+            # check index params on vector field.
+            check_index_params(params)
+        if not valid_field:
+            raise MilvusException(message=f"cannot create index on non-existed field: {field_name}")
+
+        index_param = Prepare.create_index_request(collection_name, field_name, params, index_name=index_name)
+
+        status = await self._stub.CreateIndex(index_param, timeout=timeout)
+        if status.error_code != 0:
+            raise MilvusException(status.error_code, status.reason)
+
+        return Status(status.error_code, status.reason)
+
+    # TODO: @retry_on_rpc_failure()
+    async def load_collection(self, collection_name, replica_number=1, timeout=None, **kwargs):
+        check_pass_param(collection_name=collection_name, replica_number=replica_number)
+        _refresh = kwargs.get("_refresh", False)
+        _resource_groups = kwargs.get("_resource_groups")
+        request = Prepare.load_collection("", collection_name, replica_number, _refresh, _resource_groups)
+        response = await self._stub.LoadCollection(request, timeout=timeout)
+        if response.error_code != 0:
+            raise MilvusException(response.error_code, response.reason)
+
+    # TODO: @retry_on_rpc_failure()
+    async def load_partitions(self, collection_name, partition_names, replica_number=1, timeout=None, **kwargs):
+        check_pass_param(
+            collection_name=collection_name,
+            partition_name_array=partition_names,
+            replica_number=replica_number)
+        _refresh = kwargs.get("_refresh", False)
+        _resource_groups = kwargs.get("_resource_groups")
+        request = Prepare.load_partitions("", collection_name, partition_names, replica_number, _refresh,
+                                          _resource_groups)
+        response = await self._stub.LoadPartitions(request, timeout=timeout)
+        if response.error_code != 0:
+            raise MilvusException(response.error_code, response.reason)