def test_url_file(self):
new_filename, data, result_meta = loading.load_input_file(
None, min_trans_url, None)
assert len(data) == 8
assert data.iloc[
6].Description == 'nothing suspicious about this tax payment'
assert data['Amount Num.'].sum() == 0
assert '8 records' in result_meta
def test_input_file(self):
new_filename, data, result_meta = loading.load_input_file(
min_trans_input_file, None, min_trans_filename)
assert len(data) == 8
assert data.iloc[4].Description == 'cocaine habit'
assert new_filename == min_trans_filename
assert data['Amount Num.'].sum() == 0
assert '8 records' in result_meta
def test_min_trans(self):
new_filename, data, result_meta = loading.load_input_file(
min_trans_input_file, None, min_trans_filename)
renamed = loading.rename_columns(data, def_params)
trans = loading.load_transactions(renamed)
assert len(trans) == 8
assert trans['date'].min() == pd.Timestamp('2017-01-01 00:00:00')
assert trans.iloc[0][
'full account name'] == 'Assets:Current Assets:Cash in Wallet'
def test_min(self):
new_filename, data, result_meta = loading.load_input_file(
min_trans_input_file, None, min_trans_filename)
old_col = 'Amount Num.'
new_col = params.CONST['amount_col']
assert old_col in data.columns
renamed = loading.rename_columns(data, def_params)
assert new_col in renamed.columns
assert old_col not in renamed.columns
def test_min(self):
new_filename, raw_trans, result_meta = loading.load_input_file(
min_trans_input_file, None, min_trans_filename)
trans, atree, eras = loading.convert_raw_data(raw_trans,
pd.DataFrame(),
pd.DataFrame(),
parameters=def_params)
assert len(trans) == 8
assert trans[trans['account'] == 'Salary'].amount.sum() == 3875
assert trans['date'].min() == pd.Timestamp('2017-01-01 00:00:00')