Closed ds-filipknefel closed 5 months ago
Please update tests with csv conversion (
pd.read_csv
) for example here (another one is in smoke test). I don't think we need this if csv is supported. Otherwise LGTM!
I actually think using pd.read_csv
is good here and would rewrite my tests to use it as well, given that our csv does describe a table.
If we operate on csv str to e.g. check number of elements we can run into trouble, I've actually run into that right now when trying to remove pd.read_csv
. A single value in csv represented table can span multiple lines so we can't rely on counting lines to validate number of elements.
Letting pandas parse this csv into a table makes it easier.
Issues with not receiving csv formatted answer stem from looking up
accept:
headers to derive in what format we want to send a response.I suggest that
output_format
should be wholly in charge of this and that we get rid of raising406
errors when there's a mismatch between accept headers and response type as user explicitly knows what format they'll get.The only exception for it is for
multipart/mixed
but this solution does everything the same whenaccept: multipart/mixed
is provided (which right now I'm not sure works over all, I didn't manage to successfully send a request through curl with this header included)