def nest_predicate_fields(cls, values):
"""Move fields passed to the Fact model that really belong to the Predicate model."""
type_str = values.pop("type", "")
if type_str and type_str.lower() != "fact":
raise ValidationError(f"type {type_str} was passed to Fact model")
if isinstance(values.get("predicate"), str):
values["predicate"] = Predicate(content=values["predicate"])
if "truth" in values:
values["predicate"].truth = values.pop("truth")
for field_name in ["content", "truth", "sign", "expression"]:
if field_name in values:
values["predicate"] = values.get("predicate", {})
values["predicate"][field_name] = values.pop(field_name)
if isinstance(values.get("predicate"),
dict) and values["predicate"].get("content"):
for sign in {
**QuantityRange.opposite_comparisons,
**QuantityRange.normalized_comparisons,
}:
if sign in values["predicate"]["content"]:
content, quantity_text = values["predicate"][
"content"].split(sign)
values["predicate"]["content"] = content.strip()
values["predicate"]["expression"] = quantity_text.strip()
values["predicate"]["sign"] = sign
break
return values
def move_truth_to_predicate(cls, values):
if isinstance(values["predicate"], str):
values["predicate"] = Predicate(content=values["predicate"])
if "truth" in values:
values["predicate"].truth = values["truth"]
del values["truth"]
if isinstance(values.get("terms"), Mapping):
values["terms"] = values[
"predicate"].template.get_term_sequence_from_mapping(
values["terms"])
if not values.get("terms"):
values["terms"] = []
elif isinstance(values["terms"], Term):
values["terms"] = [values["terms"]]
return values
