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fix csv parsing problems #452

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151 changes: 76 additions & 75 deletions app/projects/tests.py
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Original file line number Diff line number Diff line change
Expand Up @@ -240,78 +240,79 @@ def test_export_project_via_get_with_scenarios(self):
self.assertIn("scenario_set_data", response.json())


# class UploadTimeseriesTest(TestCase):
# fixtures = ["fixtures/benchmarks_fixture.json"]
#
# @classmethod
# def setUpTestData(cls):
# pass
#
# def setUp(self):
# self.factory = RequestFactory()
# self.client.login(username="testUser", password="ASas12,.")
# self.project = Project.objects.get(id=1)
# self.post_url = reverse("asset_create_or_update", args=[2, "demand"])
#
# def test_load_demand_csv_double_timeseries(self):
# with open("./test_files/test_ts_double.csv") as fp:
# data = {
# "name": "Test_input_timeseries",
# "pos_x": 0,
# "pos_y": 0,
# "input_timeseries": fp,
# }
# response = self.client.post(self.post_url, data, format="multipart")
# self.assertEqual(response.status_code, 200)
# asset = Asset.objects.last()
# self.assertEqual(asset.input_timeseries_values, [1, 2, 3, 4])
#
# def test_load_demand_csv_double_decimal_point_with_comma(self):
# with open("./test_files/test_ts_csv_semicolon.csv") as fp:
# data = {
# "name": "Test_input_timeseries",
# "pos_x": 0,
# "pos_y": 0,
# "input_timeseries": fp,
# }
# response = self.client.post(self.post_url, data, format="multipart")
# self.assertEqual(response.status_code, 200)
# asset = Asset.objects.last()
# self.assertEqual(asset.input_timeseries_values, [8.5, 3.3, 4.0, 6.0])
#
# def test_load_demand_xlsx_double_timeseries(self):
# with open("./test_files/test_ts_double.xlsx", "rb") as fp:
# data = {
# "name": "Test_input_timeseries",
# "pos_x": 0,
# "pos_y": 0,
# "input_timeseries": fp,
# }
# response = self.client.post(self.post_url, data, format="multipart")
# self.assertEqual(response.status_code, 200)
# asset = Asset.objects.last()
# self.assertEqual(asset.input_timeseries_values, [1, 2, 3, 4])
#
# def test_load_demand_csv_decimal_point_with_comma(self):
# with open("./test_files/test_ts_comma_decimal.csv") as fp:
# data = {
# "name": "Test_input_timeseries",
# "pos_x": 0,
# "pos_y": 0,
# "input_timeseries": fp,
# }
# response = self.client.post(self.post_url, data, format="multipart")
# self.assertEqual(response.status_code, 200)
# asset = Asset.objects.last()
# self.assertEqual(asset.input_timeseries_values, [1.2, 2, 3.0, 4])
#
# def test_load_demand_file_wrong_format_raises_error(self):
# with open("./test_files/test_ts.notsupported") as fp:
# data = {
# "name": "Test_input_timeseries",
# "pos_x": 0,
# "pos_y": 0,
# "input_timeseries": fp,
# }
# response = self.client.post(self.post_url, data, format="multipart")
# self.assertEqual(response.status_code, 422)
class UploadTimeseriesTest(TestCase):
fixtures = ["fixtures/benchmarks_fixture.json"]

@classmethod
def setUpTestData(cls):
pass

def setUp(self):
self.factory = RequestFactory()
self.client.login(username="testUser", password="ASas12,.")
self.project = Project.objects.get(id=1)
self.post_url = reverse("asset_create_or_update", args=[2, "demand"])

def test_load_demand_csv_double_timeseries(self):
with open("./test_files/test_ts_double.csv") as fp:
data = {
"name": "Test_input_timeseries",
"input_timeseries_scalar": "",
"input_timeseries_select": "",
"input_timeseries_file": fp,
}
response = self.client.post(self.post_url, data, format="multipart")
print(response.content.decode())
self.assertEqual(response.status_code, 200)
asset = Asset.objects.last()
self.assertEqual(asset.input_timeseries_values, [1, 2, 3, 4])

def test_load_demand_csv_double_decimal_point_with_comma(self):
with open("./test_files/test_ts_csv_semicolon.csv") as fp:
data = {
"name": "Test_input_timeseries",
"input_timeseries_scalar": "",
"input_timeseries_select": "",
"input_timeseries_file": fp,
}
response = self.client.post(self.post_url, data, format="multipart")
self.assertEqual(response.status_code, 200)
asset = Asset.objects.last()
self.assertEqual(asset.input_timeseries_values, [8.5, 3.3, 4.0, 6.0])

def test_load_demand_xlsx_double_timeseries(self):
with open("./test_files/test_ts_double.xlsx", "rb") as fp:
data = {
"name": "Test_input_timeseries",
"input_timeseries_scalar": "",
"input_timeseries_select": "",
"input_timeseries_file": fp,
}
response = self.client.post(self.post_url, data, format="multipart")
self.assertEqual(response.status_code, 200)
asset = Asset.objects.last()
self.assertEqual(asset.input_timeseries_values, [1, 2, 3, 4])

def test_load_demand_csv_decimal_point_with_comma(self):
with open("./test_files/test_ts_comma_decimal.csv") as fp:
data = {
"name": "Test_input_timeseries",
"input_timeseries_scalar": "",
"input_timeseries_select": "",
"input_timeseries_file": fp,
}
response = self.client.post(self.post_url, data, format="multipart")
self.assertEqual(response.status_code, 200)
asset = Asset.objects.last()
self.assertEqual(asset.input_timeseries_values, [1.2, 2, 3.0, 4])

def test_load_demand_file_wrong_format_raises_error(self):
with open("./test_files/test_ts.notsupported") as fp:
data = {
"name": "Test_input_timeseries",
"input_timeseries_scalar": "",
"input_timeseries_select": "",
"input_timeseries_file": fp,
}
response = self.client.post(self.post_url, data, format="multipart")
self.assertEqual(response.status_code, 422)
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