def test_ProfilingResultsOverviewSectionRenderer_render_variable_types(
datetime_column_evrs, ):
"""Build a type table from a type expectations and assert that we correctly infer column type
for datetime. Other types would be useful to test for as well."""
content_blocks = []
ProfilingResultsOverviewSectionRenderer._render_variable_types(
datetime_column_evrs, content_blocks)
assert len(content_blocks) == 1
type_table = content_blocks[0].table
filtered = [row for row in type_table if row[0] == "datetime"]
assert filtered == [["datetime", "2"]]
def test_ProfilingResultsOverviewSectionRenderer_empty_type_list():
# This rather specific test is a reaction to the error documented in #679
validation = ExpectationSuiteValidationResult(
results=[
ExpectationValidationResult(
success=True,
result={
'observed_value': "VARIANT", # Note this is NOT a recognized type by many backends
},
exception_info={
'raised_exception': False, 'exception_message': None, 'exception_traceback': None
},
expectation_config=ExpectationConfiguration(
expectation_type='expect_column_values_to_be_in_type_list',
kwargs={
'column': 'live', 'type_list': None, 'result_format': 'SUMMARY'
},
meta={'BasicDatasetProfiler': {'confidence': 'very low'}}
)
)
]
)
result = ProfilingResultsOverviewSectionRenderer().render(validation)
# Find the variable types content block:
types_table = [
block.table for block in result.content_blocks
if block.content_block_type == "table" and block.header.string_template["template"] == "Variable types"
][0]
assert ["unknown", "1"] in types_table
def test_ProfilingResultsOverviewSectionRenderer_empty_type_list():
# This rather specific test is a reaction to the error documented in #679
validation = {
"results": [
{
'success': True,
'result': {
'observed_value': "VARIANT", # Note this is NOT a recognized type
},
'exception_info': {
'raised_exception': False, 'exception_message': None, 'exception_traceback': None
},
'expectation_config': {
'expectation_type': 'expect_column_values_to_be_in_type_list',
'kwargs': {
'column': 'live', 'type_list': None, 'result_format': 'SUMMARY'
},
'meta': {'BasicDatasetProfiler': {'confidence': 'very low'}}
}
}
]
}
result = ProfilingResultsOverviewSectionRenderer().render(validation)
# Find the variable types content block:
types_table = [
block["table"] for block in result["content_blocks"]
if block["content_block_type"] == "table" and block["header"] == "Variable types"
][0]
assert ["unknown", "1"] in types_table