add client

python/pipeline/pipeline_client.py

+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# pylint: disable=doc-string-missing
+import grpc
+import numpy as np
+from .proto import pipeline_service_pb2
+from .proto import pipeline_service_pb2_grpc
+
+
+class PipelineClient(object):
+    def __init__(self):
+        self._channel = None
+
+    def connect(self, endpoint):
+        self._channel = grpc.insecure_channel(endpoint)
+        self._stub = pipeline_service_pb2_grpc.PipelineServiceStub(
+            self._channel)
+
+    def _pack_data_for_infer(self, feed_dict):
+        req = pipeline_service_pb2.Request()
+        for key, value in feed_dict.items():
+            if not isinstance(value, str):
+                raise TypeError("only str type is supported.")
+            req.key.append(key)
+            req.value.append(value)
+        return req
+
+    def predict(self, feed_dict, fetch):
+        if not isinstance(feed_dict, dict):
+            raise TypeError(
+                "feed must be dict type with format: {name: value}.")
+        if not isinstance(fetch, list):
+            raise TypeError(
+                "fetch_with_type must be list type with format: [name].")
+        req = self._pack_data_for_infer(feed_dict)
+        resp = self._stub.inference(req)
+        if resp.ecode != 0:
+            return {"ecode": resp.ecode, "error_info": resp.error_info}
+        fetch_map = {"ecode": resp.ecode}
+        for idx, key in enumerate(resp.key):
+            if key not in fetch:
+                continue
+            fetch_map[key] = resp.value[idx]
+        return fetch_map

python/pipeline/proto/__init__.py

+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.

python/pipeline/util.py

+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import sys
+
+
+class NameGenerator(object):
+    def __init__(self, prefix):
+        self._idx = -1
+        self._prefix = prefix
+
+    def next(self):
+        self._idx += 1
+        return "{}{}".format(self._prefix, self._idx)