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import pytest
import qolab.tableflow as tblfl
import pandas as pd
def test_table_load_noinputs():
assert tblfl.loadInOutTables() == (None, None)
assert tblfl.loadInOutTables(inputFileName=None, outputFileName="non_existing_file") == (None, None)
def test_wrong_comment_in_table_file_to_load():
with pytest.raises(Exception) as exc_info:
# should raise ParserError
tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName=None, comment='%')
def test_right_comment_in_table_file_to_load():
tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName=None, comment='#')
assert type(tIn) == pd.core.frame.DataFrame
def test_table_equality_with_no_output_file_name():
tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName=None, comment='#')
assert type(tIn) == pd.core.frame.DataFrame
assert type(tOut) == pd.core.frame.DataFrame
assert tIn.equals(tOut)
col0 = tIn.keys()[0]
vBefore = tIn.at[0, col0]
tIn.at[0, col0] = vBefore + 1
assert not tIn.equals(tOut)
def test_table_load_with_in_out_file_names():
# different filenames, same content for ease of testing
tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName='tests/tableflow_test_data/tableOut1nonProcessed.csv', comment='#')
assert type(tIn) == pd.core.frame.DataFrame
assert type(tOut) == pd.core.frame.DataFrame
assert tIn.equals(tOut)
# different filenames, different content
tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName='tests/tableflow_test_data/tableOut1pariallyProcessed.csv', comment='#')
assert type(tIn) == pd.core.frame.DataFrame
assert type(tOut) == pd.core.frame.DataFrame
assert not tIn.equals(tOut)
assert 'out1' in tOut.columns
assert 'out1' not in tIn.columns
def test_for_existing_row():
tbl1 = pd.DataFrame( {'a':[1,2,3], 'b':[1,4,6]})
r = pd.Series({'a':2, 'b':4})
assert tblfl.ilocRowOrAdd(tbl1, r) == 1
def test_for_existing_row_with_NA():
# NA in both table and raw should return a hit
tbl1 = pd.DataFrame( {'a':[1,2,3], 'b':[1,pd.NA,6]})
r = pd.Series({'a':2, 'b':pd.NA})
assert tblfl.ilocRowOrAdd(tbl1, r) == 1
# should insert new row
tbl1 = pd.DataFrame( {'a':[1,2,3], 'b':[1,4,6]})
r = pd.Series({'a':2, 'b':pd.NA})
assert tblfl.ilocRowOrAdd(tbl1, r) == 3
# should insert new row
tbl1 = pd.DataFrame( {'a':[1,2,3], 'b':[1,4,6]})
r = pd.Series({'a':2, 'b':pd.NA})
assert tblfl.ilocRowOrAdd(tbl1, r) == 3
def test_for_nonexisting_row_and_its_insertion():
tbl1 = pd.DataFrame( {'a':[1,2,3], 'b':[1,4,6]})
r = pd.Series({'a':2, 'b':10})
assert len(tbl1) == 3
assert tblfl.ilocRowOrAdd(tbl1, r) == 3
assert len(tbl1) == 4
def test_isRedoNeeded():
r = pd.Series({'a':2, 'b':4, 'c':pd.NA})
assert not tblfl.isRedoNeeded(r, ['a','b'])
assert tblfl.isRedoNeeded(r, ['c'])
assert tblfl.isRedoNeeded(r, ['non_existing'])
assert not tblfl.isRedoNeeded(r, ['b', 'c'])
def test_reflowTable():
tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName='tests/tableflow_test_data/tableOut1pariallyProcessed.csv', comment='#')
tOutRef = tOut.copy()
with pytest.warns(UserWarning):
tblfl.reflowTable(tIn,tOut)
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