def test_modify_type_2_column(self):
# Update dimension with first file
import_orders(self.filename, 'tests/data/add 1 row.csv')
self.h5file = tb.open_file(self.filename, mode='a')
h5table = self.h5file.root.orders.table
h5dim = self.h5file.root.dimorders.table
dim = scd(connection=h5dim,
lookupatts=['order', 'line'],
type1atts=[],
type2atts=['status', 'currency'],
asof='2015-10-23')
for row in h5table.iterrows():
dim.update(row)
h5dim.flush()
self.h5file.close()
# Update dimension with second file
import_orders(self.filename, 'tests/data/modify 1 row.csv')
self.h5file = tb.open_file(self.filename, mode='a')
h5table = self.h5file.root.orders.table
h5dim = self.h5file.root.dimorders.table
dim = scd(connection=h5dim,
lookupatts=['order', 'line'],
type1atts=[],
type2atts=['status', 'currency'],
asof='2015-10-23')
for row in h5table.iterrows():
dim.update(row)
h5dim.flush()
# Check if one row was inserted
self.assertEqual(len(h5dim), 3)
# Check first version row
expected = str((b'1', 10, b'Not Delivered', b'USD',
1, 1445558400000000000, 1445558400000000000, 1, False,
b'39510ad9dc54f9e05bb3cf9db33ab1a1b0b66114'))
self.assertEqual(str(h5dim[0]), expected)
# Check second version row
expected = str((b'1', 10, b'Completed', b'USD',
3, 1445558400000000000, 7258032000000000000, 2, True,
b'0d4f629999f2dd1a2b37059f7f5364564a51ad37'))
self.assertEqual(str(h5dim[2]), expected)
self.h5file.close()
def test_import_new_data_fill_scd_columns(self):
import_orders(self.filename, 'tests/data/orders x1.csv')
self.h5file = tb.open_file(self.filename, mode='a')
h5table = self.h5file.root.orders.table
h5dim = self.h5file.root.dimorders.table
dim = scd(connection=h5dim,
lookupatts=['order'],
type1atts=[],
type2atts=['line', 'status', 'currency'],
asof='2015-10-23')
for row in h5table.iterrows():
dim.update(row)
h5dim.flush()
expected = str((b'1', 10, b'Not Delivered', b'USD',
1, 1445558400000000000, 7258032000000000000, 1, True,
b'39510ad9dc54f9e05bb3cf9db33ab1a1b0b66114'))
self.assertEqual(len(h5dim), 1)
self.assertEqual(str(h5dim[0]), expected)
self.h5file.close()
def test_modify_type_1_column(self):
# Update dimension with first file
import_orders(self.filename, 'tests/data/add 1 row.csv')
self.h5file = tb.open_file(self.filename, mode='a')
h5table = self.h5file.root.orders.table
h5dim = self.h5file.root.dimorders.table
dim = scd(connection=h5dim,
lookupatts=['order', 'line'],
type1atts=['status'],
type2atts=['currency'],
asof='2015-10-23')
for row in h5table.iterrows():
dim.update(row)
h5dim.flush()
self.h5file.close()
# Update dimension with second file
import_orders(self.filename, 'tests/data/modify 1 row.csv')
self.h5file = tb.open_file(self.filename, mode='a')
h5table = self.h5file.root.orders.table
h5dim = self.h5file.root.dimorders.table
dim = scd(connection=h5dim,
lookupatts=['order', 'line'],
type1atts=['status'],
type2atts=['currency'],
asof='2015-10-23')
for row in h5table.iterrows():
dim.update(row)
h5dim.flush()
expected = str((b'1', 10, b'Completed', b'USD',
1, 1445558400000000000, 7258032000000000000, 1, True,
b'0d4f629999f2dd1a2b37059f7f5364564a51ad37'))
self.assertEqual(len(h5dim), 2)
self.assertEqual(str(h5dim[0]), expected)
self.h5file.close()
def test_add_new_row(self):
# Update dimension with first file
import_orders(self.filename, 'tests/data/orders x1.csv')
self.h5file = tb.open_file(self.filename, mode='a')
h5table = self.h5file.root.orders.table
h5dim = self.h5file.root.dimorders.table
dim = scd(connection=h5dim,
lookupatts=['order', 'line'],
type1atts=[],
type2atts=['status', 'currency'],
asof='2015-10-23')
for row in h5table.iterrows():
dim.update(row)
h5dim.flush()
self.h5file.close()
# Update dimension with second file
import_orders(self.filename, 'tests/data/add 1 row.csv')
self.h5file = tb.open_file(self.filename, mode='a')
h5table = self.h5file.root.orders.table
h5dim = self.h5file.root.dimorders.table
dim = scd(connection=h5dim,
lookupatts=['order', 'line'],
type1atts=[],
type2atts=['status', 'currency'],
asof='2015-10-23')
for row in h5table.iterrows():
dim.update(row)
h5dim.flush()
expected = str((b'1', 20, b'Completed', b'USD',
2, 1445558400000000000, 7258032000000000000, 1, True,
b'47580ba821ac3f942c13582f88a73c644241396a'))
self.assertEqual(len(h5dim), 2)
self.assertEqual(str(h5dim[1]), expected)
self.h5file.close()
def test_update_info_updated_type2_rows(self):
# Update dimension with first file
import_orders(self.filename, 'tests/data/add 1 row.csv')
self.h5file = tb.open_file(self.filename, mode='a')
h5table = self.h5file.root.orders.table
h5dim = self.h5file.root.dimorders.table
dim = scd(connection=h5dim,
lookupatts=['order', 'line'],
type1atts=[],
type2atts=['status', 'currency'],
asof='2015-10-23')
for row in h5table.iterrows():
dim.update(row)
h5dim.flush()
self.h5file.close()
# Update dimension with second file
import_orders(self.filename, 'tests/data/modify 1 row.csv')
self.h5file = tb.open_file(self.filename, mode='a')
h5table = self.h5file.root.orders.table
h5dim = self.h5file.root.dimorders.table
dim = scd(connection=h5dim,
lookupatts=['order', 'line'],
type1atts=[],
type2atts=['status', 'currency'],
asof='2015-10-23')
for row in h5table.iterrows():
dim.update(row)
h5dim.flush()
self.assertEqual(dim.new_rows, 0)
self.assertEqual(dim.updated_type1_rows, 0)
self.assertEqual(dim.updated_type2_rows, 1)
self.h5file.close()
def test_import_same_data_several_times_does_nothing(self):
import_workcenters(self.filename,
'tests/data/Centros de trabalho.xlsx',
'Centros de Trabalho')
# Import 1st time
self.h5file = tb.open_file(self.filename, mode='a')
h5table = self.h5file.root.workcenters.table
h5dim = self.h5file.root.dimworkcenters.table
dim = scd(connection=h5dim,
lookupatts=['workcenter'],
type1atts=[],
type2atts=['description', 'group', 'hours'],
asof='2015-10-23')
for row in h5table.iterrows():
dim.update(row)
h5dim.flush()
self.assertEqual(dim.new_rows, 43)
self.assertEqual(dim.updated_type1_rows, 0)
self.assertEqual(dim.updated_type2_rows, 0)
self.h5file.close()
# Import 2st time
self.h5file = tb.open_file(self.filename, mode='a')
h5table = self.h5file.root.workcenters.table
h5dim = self.h5file.root.dimworkcenters.table
dim = scd(connection=h5dim,
lookupatts=['workcenter'],
type1atts=[],
type2atts=['description', 'group', 'hours'],
asof='2015-10-23')
for row in h5table.iterrows():
dim.update(row)
h5dim.flush()
self.assertEqual(dim.new_rows, 0)
self.assertEqual(dim.updated_type1_rows, 0)
self.assertEqual(dim.updated_type2_rows, 0)
self.h5file.close()
# Import 3st time
self.h5file = tb.open_file(self.filename, mode='a')
h5table = self.h5file.root.workcenters.table
h5dim = self.h5file.root.dimworkcenters.table
dim = scd(connection=h5dim,
lookupatts=['workcenter'],
type1atts=[],
type2atts=['description', 'group', 'hours'],
asof='2015-10-23')
for row in h5table.iterrows():
dim.update(row)
h5dim.flush()
self.assertEqual(dim.new_rows, 0)
self.assertEqual(dim.updated_type1_rows, 0)
self.assertEqual(dim.updated_type2_rows, 0)
self.h5file.close()
