Comments (1)
idk if this issue is related to the #48 issue referenced but, I am also observing this issue. I think the root of the problem is because of the way list indexes are flat packed.
# Original dict A
{'foo': ['a', 'b', 'c']}
is flat packed as:
# Flat dict A
'foo_0': 'a',
'foo_1': 'b',
'foo_2': 'c',
Which is identical to the way the following dict would also be packed:
# Original dict B
{
'foo': {
'0': 'a',
'1': 'b',
'2': 'c',
}
}
Which again is flat packed as:
# Flat dict A
'foo_0': 'a',
'foo_1': 'b',
'foo_2': 'c',
and so both of these flat packed formats are unpacked into the same structure (NOT desired, as you can see we started with 2 very different JSONs/dicts)
Maybe this could be solved by changing how list item indexes are flat packed? I have seen other libraries use this format foo[0]: 'a'
for list indexes, leaving the foo_0': 'a'
format unambiguously a dict only format representing the key 'foo'
which itself has a nested dict with the key '0'
.
Though the above approach creates another bug if implemented because then what do you do if the original dict looks like this?
{
'IAmJustAKeyName[0]': 'Not a list item'
}
^ This may be an acceptable bug until someone figures out how to fix that edge case though as I think mixing up list indexes and keys named just '0'
is a much more common problem than unintentionally casting a key named 'foo[0]'
to a list item.
from flatten.
Related Issues (20)
- More complex flattening? HOT 2
- ModuleNotFoundError for v0.1.8 HOT 11
- The util namespace HOT 4
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- flatten_preserve_lists is failed to flatten json data which includes an array with more than 10 rows HOT 1
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from flatten.