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feat(low-code): added keys replace transformation #183
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25 changes: 25 additions & 0 deletions
25
airbyte_cdk/sources/declarative/transformations/keys_replace_transformation.py
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Original file line number | Diff line number | Diff line change |
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# | ||
# Copyright (c) 2023 Airbyte, Inc., all rights reserved. | ||
# | ||
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from dataclasses import dataclass | ||
from typing import Any, Dict, Optional | ||
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from airbyte_cdk.sources.declarative.transformations import RecordTransformation | ||
from airbyte_cdk.sources.types import Config, StreamSlice, StreamState | ||
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@dataclass | ||
class KeysReplaceTransformation(RecordTransformation): | ||
old: str | ||
new: str | ||
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def transform( | ||
self, | ||
record: Dict[str, Any], | ||
config: Optional[Config] = None, | ||
stream_state: Optional[StreamState] = None, | ||
stream_slice: Optional[StreamSlice] = None, | ||
) -> None: | ||
for key in set(record.keys()): | ||
record[key.replace(self.old, self.new)] = record.pop(key) | ||
15 changes: 15 additions & 0 deletions
15
unit_tests/sources/declarative/transformations/test_keys_replace_transformation.py
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# | ||
# Copyright (c) 2024 Airbyte, Inc., all rights reserved. | ||
# | ||
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from airbyte_cdk.sources.declarative.transformations.keys_replace_transformation import ( | ||
KeysReplaceTransformation, | ||
) | ||
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_ANY_VALUE = -1 | ||
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def test_transform(): | ||
record = {"date time": _ANY_VALUE, "customer id": _ANY_VALUE} | ||
KeysReplaceTransformation(old=" ", new="_").transform(record) | ||
assert record == {"date_time": _ANY_VALUE, "customer_id": _ANY_VALUE} |
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🛠️ Refactor suggestion
Consider handling nested dictionaries recursively
The current implementation only handles top-level keys. Would you consider adding support for nested dictionaries? Here's a suggestion:
📝 Committable suggestion