text: # -*- coding: utf-8 -*-
  #!/usr/bin/env python
  #
  # Copyright 2012, 2015-2020 BigML
  #
  # 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 time
  import json
  from datetime import datetime, timedelta
  from world import world
  from nose.tools import eq_, assert_less, assert_greater
  
  from bigml.api import HTTP_CREATED
  from bigml.api import FINISHED
  from bigml.api import FAULTY
  from bigml.api import get_status
  
  from read_evaluation_steps import i_get_the_evaluation
  
  #@step(r'I create an evaluation for the model with the dataset$')
  def i_create_an_evaluation(step):
      dataset = world.dataset.get('resource')
      model = world.model.get('resource')
      resource = world.api.create_evaluation(model, dataset)
      world.status = resource['code']
      eq_(world.status, HTTP_CREATED)
      world.location = resource['location']
      world.evaluation = resource['object']
      world.evaluations.append(resource['resource'])
  
  
  #@step(r'I create an evaluation for the ensemble with the dataset$')
  def i_create_an_evaluation_ensemble(step, params=None):
      if params is None:
          params = {}
      dataset = world.dataset.get('resource')
      ensemble = world.ensemble.get('resource')
      resource = world.api.create_evaluation(ensemble, dataset, params)
      world.status = resource['code']
      eq_(world.status, HTTP_CREATED)
      world.location = resource['location']
      world.evaluation = resource['object']
      world.evaluations.append(resource['resource'])
  
  #@step(r'I create an evaluation for the logistic regression with the dataset$')
  def i_create_an_evaluation_logistic(step):
      dataset = world.dataset.get('resource')
      logistic = world.logistic_regression.get('resource')
      resource = world.api.create_evaluation(logistic, dataset)
      world.status = resource['code']
      eq_(world.status, HTTP_CREATED)
      world.location = resource['location']
      world.evaluation = resource['object']
      world.evaluations.append(resource['resource'])
  
  #@step(r'I create an evaluation for the deepnet with the dataset$')
  def i_create_an_evaluation_deepnet(step):
      dataset = world.dataset.get('resource')
      deepnet = world.deepnet.get('resource')
      resource = world.api.create_evaluation(deepnet, dataset)
      world.status = resource['code']
      eq_(world.status, HTTP_CREATED)
      world.location = resource['location']
      world.evaluation = resource['object']
      world.evaluations.append(resource['resource'])
  
  
  #@step(r'I create an evaluation for the fusion with the dataset$')
  def i_create_an_evaluation_fusion(step):
      dataset = world.dataset.get('resource')
      fusion = world.fusion.get('resource')
      resource = world.api.create_evaluation(fusion, dataset)
      world.status = resource['code']
      eq_(world.status, HTTP_CREATED)
      world.location = resource['location']
      world.evaluation = resource['object']
      world.evaluations.append(resource['resource'])
  
  #@step(r'I wait until the evaluation status code is either (\d) or (-\d) less than (\d+)')
  def wait_until_evaluation_status_code_is(step, code1, code2, secs):
      start = datetime.utcnow()
      delta = int(secs) * world.delta
      i_get_the_evaluation(step, world.evaluation['resource'])
      status = get_status(world.evaluation)
      while (status['code'] != int(code1) and
             status['code'] != int(code2)):
          time.sleep(3)
          assert_less((datetime.utcnow() - start).seconds, delta)
          i_get_the_evaluation(step, world.evaluation['resource'])
          status = get_status(world.evaluation)
      eq_(status['code'], int(code1))
  
  #@step(r'I wait until the evaluation is ready less than (\d+)')
  def the_evaluation_is_finished_in_less_than(step, secs):
      wait_until_evaluation_status_code_is(step, FINISHED, FAULTY, secs)
  
  #@step(r'the measured "(.*)" is (\d+\.*\d*)')
  def the_measured_measure_is_value(step, measure, value):
      ev = world.evaluation['result']['model'][measure] + 0.0
      eq_(ev, float(value), "The %s is: %s and %s is expected" % (
          measure, ev, float(value)))
  
  #@step(r'the measured "(.*)" is greater than (\d+\.*\d*)')
  def the_measured_measure_is_greater_value(step, measure, value):
      assert_greater(world.evaluation['result']['model'][measure] + 0.0,
                     float(value))
  