def test_get_plink_smoothing(self):
with self.app.app_context():
for idx in [1, 2]:
flumodel = FluModel()
flumodel.name = 'Test Model %d' % idx
flumodel.is_public = True
flumodel.is_displayed = True
flumodel.source_type = 'google'
flumodel.calculation_parameters = 'matlab_model,1'
dates = [date(2018, 6, d) for d in range(1, 30)]
datapoints = []
for d in dates:
entry = ModelScore()
entry.region = 'e'
entry.score_date = d
entry.calculation_timestamp = datetime.now()
entry.score_value = 1.23 / d.day
entry.confidence_interval_lower = 0.81
entry.confidence_interval_upper = 1.65
datapoints.append(entry)
flumodel.model_scores = datapoints
model_function = ModelFunction()
model_function.id = idx
model_function.function_name = 'matlab_model'
model_function.average_window_size = 1
model_function.flu_model_id = idx
model_function.has_confidence_interval = True
flumodel.save()
model_function.save()
default_model = DefaultFluModel()
default_model.flu_model_id = 1
rate_thresholds = RateThresholdSet()
rate_thresholds.low_value = 0.1
rate_thresholds.medium_value = 0.2
rate_thresholds.high_value = 0.3
rate_thresholds.very_high_value = 0.4
rate_thresholds.valid_from = date(2010, 1, 1)
rate_thresholds.save()
DB.session.add(default_model)
DB.session.commit()
response = self.client().get(
'/plink?id=1&id=2&startDate=2018-06-01&endDate=2018-06-05&smoothing=3'
)
self.assertListEqual(response.get_json()['model_list'],
[{
'id': 1,
'name': 'Test Model 1'
}, {
'id': 2,
'name': 'Test Model 2'
}])
self.assertEqual(
len(response.get_json()['model_data'][0]['data_points']), 5)
self.assertEqual(
len(response.get_json()['model_data'][1]['data_points']), 5)
expected = {
'low_value': {
'label': 'Low epidemic rate',
'value': 0.1
},
'medium_value': {
'label': 'Medium epidemic rate',
'value': 0.2
},
'high_value': {
'label': 'High epidemic rate',
'value': 0.3
},
'very_high_value': {
'label': 'Very high epidemic rate',
'value': 0.4
}
}
self.assertDictEqual(response.get_json()['rate_thresholds'], expected)
list_expected = [0.252833, 0.321167, 0.444167, 0.751667, 0.922500]
list_result = [
round(s['score_value'], 6)
for s in response.get_json()['model_data'][0]['data_points']
]
self.assertListEqual(list_result, list_expected)
def test_get_twlink_current_link(self):
flumodel = FluModel()
flumodel.id = 1
flumodel.name = 'Test Model'
flumodel.is_public = True
flumodel.is_displayed = True
flumodel.source_type = 'google'
flumodel.calculation_parameters = 'matlab_model,1'
flumodel.model_region_id = '1-e'
dates = [date(2018, 6, d) for d in range(1, 30)]
datapoints = []
for d in dates:
entry = ModelScore()
entry.region = 'e'
entry.score_date = d
entry.calculation_timestamp = datetime.now()
entry.score_value = 1.23
entry.confidence_interval_lower = 0.81
entry.confidence_interval_upper = 1.65
datapoints.append(entry)
flumodel.model_scores = datapoints
model_function = ModelFunction()
model_function.id = 1
model_function.function_name = 'matlab_model'
model_function.average_window_size = 1
model_function.flu_model_id = 1
model_function.has_confidence_interval = True
default_model = DefaultFluModel()
default_model.flu_model_id = 1
rate_thresholds = RateThresholdSet()
rate_thresholds.low_value = 0.1
rate_thresholds.medium_value = 0.2
rate_thresholds.high_value = 0.3
rate_thresholds.very_high_value = 0.4
rate_thresholds.valid_from = date(2010, 1, 1)
with self.app.app_context():
flumodel.save()
model_function.save()
rate_thresholds.save()
DB.session.add(default_model)
DB.session.commit()
response = self.client().get(
'/twlink?id=1&start=2018-06-01&end=2018-06-10')
self.assertListEqual(response.get_json()['model_list'],
[{
'id': 1,
'name': 'Test Model'
}])
self.assertEqual(
len(response.get_json()['model_data'][0]['data_points']), 10)
expected = {
'low_value': {
'label': 'Low epidemic rate',
'value': 0.1
},
'medium_value': {
'label': 'Medium epidemic rate',
'value': 0.2
},
'high_value': {
'label': 'High epidemic rate',
'value': 0.3
},
'very_high_value': {
'label': 'Very high epidemic rate',
'value': 0.4
}
}
self.assertDictEqual(response.get_json()['rate_thresholds'], expected)
