def test_environmental(self):
from dplace_app.load.environmental import (
load_environmental_var, load_environmental,
)
res = load_environmental([self.get_dict(Source='EA')])
self.assertEqual(res, 0)
res = load_environmental_var(csv_dict_reader(data_path('envvariables.csv')))
self.assertEqual(res, 3)
row_dict = self.get_dict(
dataset='EA',
soc_id='EA12',
xd_id='xd1',
soc_name='Example EA Society',
alternate_names='Example',
main_focal_year='2016')
load_societies([row_dict])
res = load_environmental([self.get_dict(**{
'Source': 'EA',
'soc_ID': 'EA12',
'AnnualMeanTemperature': 1,
'AnnualTemperatureVariance': 1,
'longitude': 1,
'latitude': 1,
})])
self.assertEqual(res, 1)
def test_load_trees(self):
iso = ISOCode.objects.create(iso_code='abc')
lang = Language.objects.create(glotto_code='ubyk1235',
name='Ubykh',
iso_code=iso)
lang.save()
load_societies(csv_dict_reader(data_path('societies.csv')))
society = Society.objects.create(ext_id='455',
xd_id='xd455',
name='test',
language=lang)
society.save()
res = load_trees(data_path())
self.assertEqual(res, 2)
sequences = tree_names(data_path())
#labels should be created for the 5 societies in the semitic tree in societies.csv, plus the test society above
self.assertEqual(sequences, 6)
tree = LanguageTree.objects.filter(
name='Abkhaz-Adyge.glotto.trees').first()
label = LanguageTreeLabels.objects.filter(label='ubyk1235').first()
self.assertIn(label, tree.taxa.all())
self.assertIn(society, label.societies.all())
tree = LanguageTree.objects.filter(name='semitic.trees').first()
labels = LanguageTreeLabels.objects.filter(label='Amharic').first()
self.assertEqual(tree.taxa.count(), 25)
self.assertEqual(labels.societies.count(), 3)
self.assertEqual(
labels.societies.all().order_by(
'-languagetreelabelssequence__fixed_order').first().ext_id,
'Ca7')
# existing trees are not recreated:
self.assertEqual(load_trees(data_path()), 0)
def test_load_trees(self):
iso = ISOCode.objects.create(iso_code='abc')
lang = Language.objects.create(glotto_code='ubyk1235', name='Ubykh', iso_code=iso)
lang.save()
load_societies(csv_dict_reader(data_path('societies.csv')))
society = Society.objects.create(
ext_id = '455',
xd_id = 'xd455',
name = 'test',
language=lang
)
society.save()
res = load_trees(data_path())
self.assertEqual(res, 2)
sequences = tree_names(data_path())
#labels should be created for the 5 societies in the semitic tree in societies.csv, plus the test society above
self.assertEqual(sequences, 6)
tree = LanguageTree.objects.filter(name='Abkhaz-Adyge.glotto.trees').first()
label = LanguageTreeLabels.objects.filter(label='ubyk1235').first()
self.assertIn(label, tree.taxa.all())
self.assertIn(society, label.societies.all())
tree = LanguageTree.objects.filter(name='semitic.trees').first()
labels = LanguageTreeLabels.objects.filter(label='Amharic').first()
self.assertEqual(tree.taxa.count(), 25)
self.assertEqual(labels.societies.count(), 3)
self.assertEqual(labels.societies.all().order_by('-languagetreelabelssequence__fixed_order').first().ext_id, 'Ca7')
# existing trees are not recreated:
self.assertEqual(load_trees(data_path()), 0)
def test_environmental(self):
from dplace_app.load.environmental import (
load_environmental_var, load_environmental,
)
res = load_environmental([self.get_dict(Dataset='EA')])
self.assertEqual(res, 0)
res = load_environmental_var(csv_dict_reader(data_path('envvariables.csv')))
self.assertEqual(res, 3)
load_societies(csv_dict_reader(data_path('societies.csv')))
res = load_environmental(csv_dict_reader(data_path('envdata.csv')))
self.assertEqual(res, 2)
def test_environmental(self):
from dplace_app.load.environmental import (
load_environmental_var,
load_environmental,
)
res = load_environmental([self.get_dict(Dataset='EA')])
self.assertEqual(res, 0)
res = load_environmental_var(
csv_dict_reader(data_path('envvariables.csv')))
self.assertEqual(res, 3)
load_societies(csv_dict_reader(data_path('societies.csv')))
res = load_environmental(csv_dict_reader(data_path('envdata.csv')))
self.assertEqual(res, 2)
def test_load_society(self):
def society(dataset):
return self.get_dict(
dataset=dataset,
soc_id='EA12' + dataset,
xd_id='xd1',
soc_name='Example Society',
alternate_names='Example',
main_focal_year='2016')
self.assertEqual(load_societies([society('EA'), society('LRB'), society('x')]), 2)
def test_load_society(self):
def society(dataset):
return self.get_dict(
dataset=dataset,
soc_id='EA12' + dataset,
xd_id='xd1',
soc_name='Example Society',
alternate_names='Example',
original_name='Example 1',
hraf_link='Example (EX1)',
chirila_link='Example (1)',
main_focal_year='2016')
self.assertEqual(load_societies([society('EA'), society('Binford')]), 2)
self.assertRaises(ValueError, load_societies, [society('x')])
def test_environmental(self):
from dplace_app.load.environmental import (
create_environmental_variables, load_environmental,
)
res = load_environmental([self.get_dict(Source='EA')])
self.assertEqual(res, 0)
row_dict = self.get_dict(
dataset='EA',
soc_id='EA12',
xd_id='xd1',
soc_name='Example EA Society',
alternate_names='Example',
main_focal_year='2016')
load_societies([row_dict])
res = load_environmental([self.get_dict(**{
'Source': 'EA',
'ID': 'EA12',
'Orig.longitude': 1,
'Orig.latitude': 1,
'longitude': 1,
'latitude': 1,
})])
self.assertEqual(res, 1)
def test_load_society(self):
def society(dataset):
return self.get_dict(dataset=dataset,
soc_id='EA12' + dataset,
xd_id='xd1',
soc_name='Example Society',
alternate_names='Example',
original_name='Example 1',
hraf_link='Example (EX1)',
chirila_link='Example (1)',
main_focal_year='2016')
self.assertEqual(load_societies([society('EA'),
society('Binford')]), 2)
self.assertRaises(ValueError, load_societies, [society('x')])
def test_load_society_locations(self):
load_regions(data_path('test_geo.json'))
load_societies(csv_dict_reader(data_path('societies.csv')))
res = society_locations(csv_dict_reader(data_path('society_locations.csv')))
def test_load_society_locations(self):
load_regions(data_path('regions.geojson'))
load_societies(csv_dict_reader(data_path('societies.csv')))
society_locations(csv_dict_reader(data_path('society_locations.csv')))