def test_clean_multicolumn_from_other_tab(self):
tab_output = ProcessResult(pd.DataFrame({"A-from-tab-2": [1, 2]}))
workflow = Workflow.create_and_init()
tab = workflow.tabs.first()
wfm = tab.wf_modules.create(
order=0,
slug="step-1",
last_relevant_delta_id=workflow.last_delta_id)
wfm.cache_render_result(workflow.last_delta_id, tab_output)
schema = ParamDType.Dict({
"tab":
ParamDType.Tab(),
"columns":
ParamDType.Multicolumn(tab_parameter="tab"),
})
params = {"tab": tab.slug, "columns": ["A-from-tab-1", "A-from-tab-2"]}
context = RenderContext(
workflow.id,
None,
TableShape(3, [Column("A-from-tab-1", ColumnType.NUMBER())]),
{tab.slug: StepResultShape("ok", tab_output.table_shape)},
params,
)
result = clean_value(schema, params, context)
# result['tab'] is not what we're testing here
self.assertEqual(result["columns"], ["A-from-tab-2"])
def test_clean_multicolumn_from_other_tab(self):
tab_output = ProcessResult(pd.DataFrame({'A-from-tab-2': [1, 2]}))
workflow = Workflow.create_and_init()
tab = workflow.tabs.first()
wfm = tab.wf_modules.create(
order=0, last_relevant_delta_id=workflow.last_delta_id)
wfm.cache_render_result(workflow.last_delta_id, tab_output)
schema = ParamDType.Dict({
'tab':
ParamDType.Tab(),
'columns':
ParamDType.Multicolumn(tab_parameter='tab'),
})
params = {'tab': tab.slug, 'columns': ['A-from-tab-1', 'A-from-tab-2']}
context = RenderContext(
workflow.id, None,
TableShape(3, [
Column('A-from-tab-1', ColumnType.NUMBER()),
]), {
tab.slug: StepResultShape('ok', tab_output.table_shape),
}, params)
result = clean_value(schema, params, context)
# result['tab'] is not what we're testing here
self.assertEqual(result['columns'], ['A-from-tab-2'])
def test_clean_multicolumn_sort_in_table_order(self):
input_shape = TableShape(3, [
Column("B", ColumnType.NUMBER()),
Column("A", ColumnType.NUMBER())
])
result = clean_value(ParamDType.Multicolumn(), ["A", "B"], input_shape)
self.assertEqual(result, ["B", "A"])
def test_clean_multicolumn_sort_in_table_order(self):
input_shape = TableShape(3, [
Column('B', ColumnType.NUMBER()),
Column('A', ColumnType.NUMBER()),
])
result = clean_value(ParamDType.Multicolumn(), ['A', 'B'], input_shape)
self.assertEqual(result, ['B', 'A'])
def test_clean_multicolumn_prompting_error_convert_to_text(self):
# TODO make this _automatic_ instead of quick-fix?
# ... but for now: prompt for a Quick Fix.
context = RenderContext(
None,
None,
TableShape(
3,
[
Column("A", ColumnType.NUMBER()),
Column("B", ColumnType.DATETIME()),
Column("C", ColumnType.TEXT()),
],
),
None,
None,
)
with self.assertRaises(PromptingError) as cm:
schema = ParamDType.Multicolumn(column_types=frozenset({"text"}))
clean_value(schema, "A,B", context)
self.assertEqual(
cm.exception.errors,
[
PromptingError.WrongColumnType(["A", "B"], None,
frozenset({"text"}))
],
)
def test_clean_multicolumn_missing_is_removed(self):
input_shape = TableShape(3, [
Column("A", ColumnType.NUMBER()),
Column("B", ColumnType.NUMBER())
])
result = clean_value(ParamDType.Multicolumn(), ["A", "X", "B"],
input_shape)
self.assertEqual(result, ["A", "B"])
def test_clean_multicolumn_missing_is_removed(self):
input_shape = TableShape(3, [
Column('A', ColumnType.NUMBER()),
Column('B', ColumnType.NUMBER()),
])
result = clean_value(ParamDType.Multicolumn(), ['A', 'X', 'B'],
input_shape)
self.assertEqual(result, ['A', 'B'])
def test_clean_multicolumn_sort_in_table_order(self):
context = RenderContext(
None, None,
TableShape(3, [
Column('B', ColumnType.NUMBER()),
Column('A', ColumnType.NUMBER()),
]), None, None)
result = clean_value(ParamDType.Multicolumn(), ['A', 'B'], context)
self.assertEqual(result, ['B', 'A'])
def test_clean_multicolumn_missing_is_removed(self):
context = RenderContext(
None, None,
TableShape(3, [
Column('A', ColumnType.NUMBER()),
Column('B', ColumnType.NUMBER()),
]), None, None)
result = clean_value(ParamDType.Multicolumn(), ['A', 'X', 'B'],
context)
self.assertEqual(result, ['A', 'B'])
def test_clean_multicolumn_sort_in_table_order(self):
context = RenderContext(
None,
None,
TableShape(3, [
Column("B", ColumnType.NUMBER()),
Column("A", ColumnType.NUMBER())
]),
None,
None,
)
result = clean_value(ParamDType.Multicolumn(), ["A", "B"], context)
self.assertEqual(result, ["B", "A"])
def test_clean_multicolumn_missing_is_removed(self):
context = RenderContext(
None,
None,
TableShape(3, [
Column("A", ColumnType.NUMBER()),
Column("B", ColumnType.NUMBER())
]),
None,
None,
)
result = clean_value(ParamDType.Multicolumn(), ["A", "X", "B"],
context)
self.assertEqual(result, ["A", "B"])
def test_clean_multicolumn_prompting_error_convert_to_text(self):
# TODO make this _automatic_ instead of quick-fix?
# ... but for now: prompt for a Quick Fix.
input_shape = TableShape(3, [
Column('A', ColumnType.NUMBER()),
Column('B', ColumnType.DATETIME()),
Column('C', ColumnType.TEXT()),
])
with self.assertRaises(PromptingError) as cm:
schema = ParamDType.Multicolumn(column_types=frozenset({'text'}))
clean_value(schema, 'A,B', input_shape)
self.assertEqual(cm.exception.errors, [
PromptingError.WrongColumnType(['A'], 'number', frozenset({'text'
})),
PromptingError.WrongColumnType(['B'], 'datetime',
frozenset({'text'})),
])
def test_clean_multicolumn_from_other_tab_that_does_not_exist(self):
# The other tab would not exist if the user selected and then deleted
# it.
workflow = Workflow.create_and_init()
workflow.tabs.first()
schema = ParamDType.Dict({
'tab': ParamDType.Tab(),
'columns': ParamDType.Multicolumn(tab_parameter='tab'),
})
param_values = {'tab': 'tab-missing', 'columns': ['A-from-tab']}
params = Params(schema, param_values, {})
context = RenderContext(workflow.id, None, TableShape(3, [
Column('A-from-tab-1', ColumnType.NUMBER()),
]), {}, params)
result = clean_value(schema, param_values, context)
# result['tab'] is not what we're testing here
self.assertEqual(result['columns'], [])
def test_clean_multicolumn_from_other_tab_that_does_not_exist(self):
# The other tab would not exist if the user selected and then deleted
# it.
workflow = Workflow.create_and_init()
workflow.tabs.first()
schema = ParamDType.Dict({
"tab":
ParamDType.Tab(),
"columns":
ParamDType.Multicolumn(tab_parameter="tab"),
})
params = {"tab": "tab-missing", "columns": ["A-from-tab"]}
context = RenderContext(
workflow.id,
None,
TableShape(3, [Column("A-from-tab-1", ColumnType.NUMBER())]),
{},
params,
)
result = clean_value(schema, params, context)
# result['tab'] is not what we're testing here
self.assertEqual(result["columns"], [])
def test_clean_multicolumn_no_input_is_empty(self):
self.assertEqual(clean_value(ParamDType.Multicolumn(), "A", None), [])
