# Copyright 2017 Google Inc. 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 json
import socket

import pytest

import predict

MODEL = 'census'
JSON_VERSION = 'v2json'
PROJECT = 'python-docs-samples-tests'
CONF_KEY = u'confidence'
PRED_KEY = u'predictions'
EXPECTED_OUTPUT = {
    CONF_KEY: 0.7760370969772339,
    PRED_KEY: u' <=50K'
}
CONFIDENCE_EPSILON = 1e-4

# Raise the socket timeout. The requests involved in the sample can take
# a long time to complete.
socket.setdefaulttimeout(60)


with open('resources/census_test_data.json') as f:
    JSON = json.load(f)


@pytest.mark.flaky
def test_predict_json():
    result = predict.predict_json(
        PROJECT, MODEL, [JSON, JSON], version=JSON_VERSION)
    # Result contains two identical predictions
    assert len(result) == 2 and result[0] == result[1]
    # Each prediction has `confidence` and `predictions`
    assert result[0].keys() == EXPECTED_OUTPUT.keys()
    # Prediction matches
    assert result[0][PRED_KEY] == EXPECTED_OUTPUT[PRED_KEY]
    # Confidence within epsilon
    assert abs(result[0][CONF_KEY] - EXPECTED_OUTPUT[CONF_KEY]) < CONFIDENCE_EPSILON


@pytest.mark.flaky
def test_predict_json_error():
    with pytest.raises(RuntimeError):
        predict.predict_json(
            PROJECT, MODEL, [{"foo": "bar"}], version=JSON_VERSION)
