#!/usr/bin/env python

# Copyright 2019 Google LLC

#

# 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 os

from google.cloud.automl_v1beta1.gapic import enums

import automl_tables_model

import automl_tables_predict

import model_test

PROJECT = os.environ["GCLOUD_PROJECT"]

REGION = "us-central1"

STATIC_MODEL = model_test.STATIC_MODEL

def test_predict(capsys):

inputs = {

"Age": 31,

"Balance": 200,

"Campaign": 2,

"Contact": "cellular",

"Day": "4",

"Default": "no",

"Duration": 12,

"Education": "primary",

"Housing": "yes",

"Job": "blue-collar",

"Loan": "no",

"MaritalStatus": "divorced",

"Month": "jul",

"PDays": 4,

"POutcome": "0",

"Previous": 12,

}

ensure_model_online()

automl_tables_predict.predict(PROJECT, REGION, STATIC_MODEL, inputs, True)

out, _ = capsys.readouterr()

assert "Predicted class name:" in out

assert "Predicted class score:" in out

assert "Features of top importance:" in out

def ensure_model_online():

model = model_test.ensure_model_ready()

if model.deployment_state != enums.Model.DeploymentState.DEPLOYED:

automl_tables_model.deploy_model(PROJECT, REGION, model.display_name)

return automl_tables_model.get_model(PROJECT, REGION, model.display_name)