dict.get_deep()

[2QdxY4RzWzUUiLuE at potatochowder.com]

On 2022-04-03 at 18:01:58 +0300,
Kirill Ratkin via Python-list <python-list at python.org> wrote:

> It seems 'case if' should help with types:
> 
> case {"users": [{"address": {"street": street}}]} if isinstance(street,
> str):

reduce(lambda x, y: x[y], ["users", 0, "address", "street"], data)

Unless it's y[x] rather than x[y], and there might be a More Cleverer™
way to do it with getattr or one of its relatives instead of lambda.

> 02.04.2022 23:44, Marco Sulla пишет:
> > A proposal. Very often dict are used as a deeply nested carrier of
> > data, usually decoded from JSON. Sometimes I needed to get some of
> > this data, something like this:
> > 
> > data["users"][0]["address"]["street"]
> > 
> > What about something like this instead?
> > 
> > data.get_deep("users", 0, "address", "street")
> > 
> > and also, instead of this
> > 
> > try:
> >      result = data["users"][0]["address"]["street"]
> > except KeyError, IndexError:
> >      result = "second star"
> > 
> > write this:
> > 
> > data.get_deep("users", 0, "address", "street", default="second star")