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def flatten_dict(data: dict): | |
"""Transform a dict with nested dicts/list to a one level dict with keys containing paths to | |
the original values encoded as `top_level_key.nested_key[list_item_index]` | |
""" | |
def iterate(_data, _path=""): | |
if isinstance(_data, dict): | |
for _key, _value in _data.items(): | |
yield from iterate(_value, f"{_path}.{_key}".lstrip(".")) | |
elif isinstance(_data, tuple | list): | |
for _index, _value in enumerate(_data): | |
yield from iterate(_value, f"{_path}[{_index}]") | |
else: | |
yield _path, _data | |
return dict(iterate(data)) | |
def test_flatten_dict(): | |
assert flatten_dict( | |
{ | |
"_id": "pra_2tV33hckuMLTKm9nXqnRbE", | |
"address": { | |
"city": "Swindon", | |
"country": "UK", | |
"county": "Wiltshire", | |
"line_1": "Unit 10 Berkshire House", | |
"line_2": "", | |
"post_code": "SN1 2NR", | |
}, | |
"metadata": { | |
"integration_ids": [ | |
{"key": "vet_covea_id", "value": "127258", "source": "CATDOG"}, | |
{"key": "vet_algolia_id", "value": "1564262492", "source": "CATDOG"}, | |
], | |
"is_registered_in_vet_portal": True, | |
}, | |
"name": "Great Western Exotics (Vets Now)", | |
"practice_types": [], | |
"corporate_network": "VetsNow", | |
} | |
) == { | |
"_id": "pra_2tV33hckuMLTKm9nXqnRbE", | |
"address.city": "Swindon", | |
"address.country": "UK", | |
"address.county": "Wiltshire", | |
"address.line_1": "Unit 10 Berkshire House", | |
"address.line_2": "", | |
"address.post_code": "SN1 2NR", | |
"corporate_network": "VetsNow", | |
"metadata.integration_ids[0].key": "vet_covea_id", | |
"metadata.integration_ids[0].source": "CATDOG", | |
"metadata.integration_ids[0].value": "127258", | |
"metadata.integration_ids[1].key": "vet_algolia_id", | |
"metadata.integration_ids[1].source": "CATDOG", | |
"metadata.integration_ids[1].value": "1564262492", | |
"metadata.is_registered_in_vet_portal": True, | |
"name": "Great Western Exotics (Vets Now)", | |
} |
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