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data / normalizers.py
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from typing import Any, Dict, List, Optional
from .operator import InstanceOperator
class NormalizeListFields(InstanceOperator):
fields: List[str]
key_prefix: str = ""
empty_value: str = ""
separator: str = ", "
def process(
self, instance: Dict[str, Any], stream_name: Optional[str] = None
) -> Dict[str, Any]:
for field in self.fields:
assert field in instance, f"Field {field} not found in instance {instance}"
assert isinstance(
instance[field], list
), f"Field {field} should be a list, got {type(instance[field])}"
target_key = self.key_prefix + field
if len(instance[field]) == 0:
instance[target_key] = self.empty_value
elif len(instance[field]) == 1:
instance[target_key] = instance[field][0]
else:
instance[target_key] = self.separator.join(instance[field])
return instance