def test_get_time_series_for_geometry_polygon_only_valids(self):
ctx = new_test_service_context()
actual_result = get_time_series_for_geometry(
ctx,
'demo',
'conc_tsm',
dict(type="Polygon",
coordinates=[[[1., 51.], [2., 51.], [2., 52.], [1., 52.],
[1., 51.]]]),
include_count=True,
max_valids=-1)
expected_result = {
'results': [{
'date': '2017-01-16T10:09:22Z',
'result': {
'average': 56.12519223634024,
'totalCount': 159600,
'validCount': 122392
}
}, {
'date': '2017-01-28T09:58:11Z',
'result': {
'average': 49.70755256053988,
'totalCount': 159600,
'validCount': 132066
}
}]
}
self.assertEqual(expected_result, actual_result)
def test_get_time_series_for_geometry_polygon_with_stdev(self):
ctx = new_test_service_context()
actual_result = get_time_series_for_geometry(
ctx,
'demo',
'conc_tsm',
dict(type="Polygon",
coordinates=[[[1., 51.], [2., 51.], [2., 52.], [1., 52.],
[1., 51.]]]),
include_count=True,
include_stdev=True)
expected_result = {
'results': [{
'date': '2017-01-16T10:09:22Z',
'result': {
'average': 56.12519223634024,
'totalCount': 159600,
'uncertainty': 40.78859862094861,
'validCount': 122392
}
}, {
'date': '2017-01-25T09:35:51Z',
'result': {
'average': None,
'totalCount': 159600,
'uncertainty': None,
'validCount': 0
}
}, {
'date': '2017-01-26T10:50:17Z',
'result': {
'average': None,
'totalCount': 159600,
'uncertainty': None,
'validCount': 0
}
}, {
'date': '2017-01-28T09:58:11Z',
'result': {
'average': 49.70755256053988,
'totalCount': 159600,
'uncertainty': 34.98868194514786,
'validCount': 132066
}
}, {
'date': '2017-01-30T10:46:34Z',
'result': {
'average': None,
'totalCount': 159600,
'uncertainty': None,
'validCount': 0
}
}]
}
self.assertEqual(expected_result, actual_result)
def test_get_time_series_for_geometry_polygon_one_valid(self):
ctx = new_test_service_context()
time_series = get_time_series_for_geometry(ctx, 'demo', 'conc_tsm',
dict(type="Polygon", coordinates=[[
[1., 51.], [2., 51.], [2., 52.], [1., 52.], [1., 51.]
]]), max_valids=1)
expected_dict = {'results': [{'date': '2017-01-16T10:09:22Z',
'result': {'average': 56.0228561816751,
'totalCount': 1,
'validCount': 122738}}]}
self.assertEqual(expected_dict, time_series)
def test_get_time_series_for_geometry_point(self):
ctx = new_test_service_context()
time_series = get_time_series_for_geometry(ctx, 'demo', 'conc_tsm',
dict(type="Point", coordinates=[2.1, 51.4]),
start_date=np.datetime64('2017-01-15'),
end_date=np.datetime64('2017-01-29'))
expected_dict = {'results': [{'date': '2017-01-16T10:09:22Z',
'result': {'average': 3.534773588180542,
'totalCount': 1,
'validCount': 1}},
{'date': '2017-01-25T09:35:51Z',
'result': {'average': None, 'totalCount': 1, 'validCount': 0}},
{'date': '2017-01-26T10:50:17Z',
'result': {'average': None, 'totalCount': 1, 'validCount': 0}},
{'date': '2017-01-28T09:58:11Z',
'result': {'average': 20.12085723876953,
'totalCount': 1,
'validCount': 1}}]}
self.assertEqual(expected_dict, time_series)
def test_get_time_series_for_geometry_polygon(self):
ctx = new_test_service_context()
time_series = get_time_series_for_geometry(ctx, 'demo', 'conc_tsm',
dict(type="Polygon", coordinates=[[
[1., 51.], [2., 51.], [2., 52.], [1., 52.], [1., 51.]
]]))
expected_dict = {'results': [{'date': '2017-01-16T10:09:22Z',
'result': {'average': 56.0228561816751,
'totalCount': 1,
'validCount': 122738}},
{'date': '2017-01-25T09:35:51Z',
'result': {'average': None, 'totalCount': 1, 'validCount': 0}},
{'date': '2017-01-26T10:50:17Z',
'result': {'average': None, 'totalCount': 1, 'validCount': 0}},
{'date': '2017-01-28T09:58:11Z',
'result': {'average': 49.71656646340396,
'totalCount': 1,
'validCount': 132716}},
{'date': '2017-01-30T10:46:34Z',
'result': {'average': None, 'totalCount': 1, 'validCount': 0}}]}
self.assertEqual(expected_dict, time_series)