def test_present_set():
# GIVEN
# WHEN formatting None
presentable_string = Presenter().process_set(None)
# THEN we should get 'N/A' back
assert presentable_string == Presenter().DEFAULT_NA
def test_present_dict():
# GIVEN a dict to present
dict_to_present = {
"nested_dict": {"string_key": "string_value", "none_key": None, "empty_key": ""}
}
# WHEN formatting dict
presentable_dict = Presenter().process_dict(dict_to_present)
# THEN we should get 'N/A' back
assert presentable_dict["nested_dict"]["string_key"] == "string_value"
assert presentable_dict["nested_dict"]["none_key"] == Presenter().DEFAULT_NA
assert presentable_dict["nested_dict"]["empty_key"] == Presenter().DEFAULT_NA
def _make_data_presentable(delivery_data: dict) -> dict:
"""Replace db values with what a human might expect"""
presenter = Presenter(precision=2)
_presentable_dict = presenter.process_dict(delivery_data)
for sample in delivery_data["samples"]:
sample["mapped_reads"] = presenter.process_float_string(sample["mapped_reads"], 2)
sample["target_coverage"] = presenter.process_float_string(sample["target_coverage"], 1)
sample["target_completeness"] = presenter.process_float_string(
sample["target_completeness"], 2
)
sample["duplicates"] = presenter.process_float_string(sample["duplicates"], 1)
return _presentable_dict