def test_sql_two_inputs_params_success():
params = {
ExecuteSQLOperation.QUERY_PARAM: "select * where df2.id = 1;",
ExecuteSQLOperation.NAMES_PARAM: "col1, col2, col3"
}
n_in = {'input data 1': 'input_1', 'input data 2': 'input_2'}
n_out = {'output data': 'output_1'}
instance = ExecuteSQLOperation(params,
named_inputs=n_in,
named_outputs=n_out)
code = instance.generate_code()
expected_code = dedent("""
query = 'select * where df2.id = 1;'
output_1 = sqldf(query, {'ds1': input_1, 'ds2': input_2})
names = ['col1', 'col2', 'col3']
if names is not None and len(names) > 0:
old_names = output_1.columns
if len(old_names) != len(names):
raise ValueError('Invalid names. Number of attributes '
'in result differs from names informed.')
rename = dict(zip(old_names, names))
output_1.rename(columns=rename, inplace=True)
""")
result, msg = compare_ast(ast.parse(code), ast.parse(expected_code))
assert result, msg + format_code_comparison(code, expected_code)
def test_execute_sql_no_output_implies_no_code_success():
arguments = {
'parameters': {
'query':
'SELECT class, sepalwidth FROM ds1 WHERE sepalwidth > 3.2',
'names': 'class,sepalwidth'
},
'named_inputs': {
'input data': 'df',
},
'named_outputs': {}
}
instance = ExecuteSQLOperation(**arguments)
assert instance.generate_code() is None
def test_execute_sql_names_param_not_informed_success():
df1 = util.iris(['class', 'sepalwidth'], size=10)
test_df = df1.copy()
arguments = {
'parameters': {
'query': 'SELECT class, sepalwidth FROM ds1'
},
'named_inputs': {
'input data 1': 'df1',
},
'named_outputs': {
'output data': 'out'
}
}
instance = ExecuteSQLOperation(**arguments)
result = util.execute(instance.generate_code(), {'df1': df1})
assert result['out'].equals(test_df)
def test_execute_sql_column_not_found_fail():
df1 = util.iris(['class', 'sepalwidth'], size=10)
arguments = {
'parameters': {
'query': 'SELECT unknown FROM ds1'
},
'named_inputs': {
'input data 1': 'df1',
},
'named_outputs': {
'output data': 'out'
}
}
instance = ExecuteSQLOperation(**arguments)
with pytest.raises(pandasql.PandaSQLException) as psql_err:
util.execute(instance.generate_code(), {'df1': df1})
assert "(sqlite3.OperationalError) no such column: unknown" in str(
psql_err.value)
def test_execute_sql_wrong_number_of_attributes_informed_fail():
df1 = util.iris(['class', 'sepalwidth'], size=10)
arguments = {
'parameters': {
'query': 'SELECT class, sepalwidth FROM ds1',
'names': 'class'
},
'named_inputs': {
'input data 1': 'df1'
},
'named_outputs': {
'output data': 'out'
}
}
instance = ExecuteSQLOperation(**arguments)
with pytest.raises(ValueError) as val_err:
util.execute(instance.generate_code(), {'df1': df1})
assert "Invalid names. Number of attributes in" \
" result differs from names informed." in str(val_err.value)
def test_execute_sql_success():
slice_size = 10
df = [
'df',
util.iris(['sepallength', 'sepalwidth', 'petalwidth', 'petallength'],
slice_size)
]
arguments = {
'parameters': {},
'named_inputs': {
'input data': df[0],
},
'named_outputs': {
'output data': 'out'
}
}
instance = ExecuteSQLOperation(**arguments)
result = util.execute(instance.generate_code(), dict([df]))
assert result['out'].equals(util.iris(size=slice_size))
def test_execute_sql_success():
df1 = util.iris(['class', 'sepalwidth'], size=10)
test_df = df1.copy().sepalwidth > 3.2
test_df = df1.copy()[test_df]
test_df.reset_index(inplace=True, drop=True)
arguments = {
'parameters': {
'query':
'SELECT class, sepalwidth FROM ds1 WHERE sepalwidth > 3.2',
'names': 'class,sepalwidth'
},
'named_inputs': {
'input data 1': 'df1'
},
'named_outputs': {
'output data': 'out'
}
}
instance = ExecuteSQLOperation(**arguments)
result = util.execute(instance.generate_code(), {'df1': df1})
assert result['out'].equals(test_df)
def test_execute_sql_multiple_dataframes_success():
df1 = util.iris(['class'], size=10)
df2 = util.iris(['sepalwidth'], size=10)
test_df = df1.copy().join(df2.copy())
test_df.sort_values(by='sepalwidth', inplace=True)
test_df.drop_duplicates(inplace=True, ignore_index=True)
arguments = {
'parameters': {
'query': 'SELECT DISTINCT class, sepalwidth FROM ds1,'
' ds2 ORDER BY class, sepalwidth',
'names': 'class,sepalwidth'
},
'named_inputs': {
'input data 1': 'df1',
'input data 2': 'df2'
},
'named_outputs': {
'output data': 'out'
}
}
instance = ExecuteSQLOperation(**arguments)
result = util.execute(instance.generate_code(), {'df1': df1, 'df2': df2})
assert result['out'].equals(test_df)