blob: a616971b4a0e2d98a0060fb018c43a9ef58e56f5 [file] [log] [blame]
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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 json
import model_store
from model_store import ModelStore
_MODEL_STORE = ModelStore(model_store.PRODUCTION)
_PETAL_WIDTH = 'petal_width'
def predict(input_json):
try:
input_dict = json.loads(input_json)
model, version = _MODEL_STORE.load_latest_model()
result = str(model.predict_proba([list(input_dict[_PETAL_WIDTH])])[0][1])
return json.dumps({"result": result, "version": version})
except IndexError:
return 'Failure: the model is not ready yet'
except Exception as e:
print(e)
return 'Failure'
def healthcheck(self):
return 'Server is up!'
def version(self):
try:
model, version = _MODEL_STORE.load_latest_model()
print(f'version={version}')
return version
except Exception as e:
return e