Sample Application to save model to Minio

[demo.git] / vnfs / DAaaS / sample-apps / sample-minio-save-model / build / save-model-to-minio.py

diff --git a/vnfs/DAaaS/sample-apps/sample-minio-save-model/build/save-model-to-minio.py b/vnfs/DAaaS/sample-apps/sample-minio-save-model/build/save-model-to-minio.py
new file mode 100755 (executable)
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+#!/usr/bin/env python
+#
+# -------------------------------------------------------------------------
+#   Copyright (c) 2019 Intel Corporation Intellectual Property
+#
+#   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.
+#
+# -------------------------------------------------------------------------
+#
+
+'''Sample Python application to save model to Minio'''
+
+# python imports
+
+import json
+import os
+import time
+from minio import Minio
+from minio.error import ResponseError
+
+
+client = Minio(os.environ['S3_ENDPOINT'],
+               access_key=os.environ['AWS_ACCESS_KEY_ID'],
+               secret_key=os.environ['AWS_SECRET_ACCESS_KEY'],
+               secure=False)
+
+
+def load_model(bucket_name, object_name, filepath):    
+    try:
+        client.fget_object(bucket_name, object_name, filepath)
+    except ResponseError as err:
+        print(err)
+
+if __name__ == "__main__":
+    bucket_name = os.environ['MODEL_BUCKET']
+    location = os.environ['S3_REGION']
+    model = os.environ['MODEL_FILE']
+    filepath = "/app/" + model
+    if not client.bucket_exists(bucket_name):
+        client.make_bucket(bucket_name, location=location)
+    
+    found = False
+    try:
+        client.stat_object(bucket_name, model);
+        found = True
+    except Exception as err:
+        found = False
+    
+    metadata = {
+        "X-Amz-Meta-model-description": "Sample numpy model",
+        "X-Amz-Meta-model-type": "scikit-learn/numpy",
+        "X-Amz-Meta-model-version": "v1.0.0",
+    }
+    if not found:
+        try:
+            client.fput_object(bucket_name, model, filepath, metadata=metadata)
+        except expression as identifier:
+            print(err)
+