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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)
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