On Fri, Nov 29, 2019, at 9:13 AM, sumau wrote:
> Hello
> 
> I think my original question was too generic so rephrasing... Is there a way 
> in sqlalchemy to:
>  1. Assert a ResultProxy against an expected ResultProxy (or list of 
> RowProxies against expected list of RowProxies) 
>  2. Show any differences
> I wanted to check first before writing my own script :-)

you fetch the rows into a list and compare:


assert result.fetchall() == otherresult.fetchall()

that's pretty much it, obviously does not scale for thousands or more of rows 
very well.




> 
> Regards
> S
> 
> On Friday, 22 November 2019 10:50:54 UTC, sumau wrote:
>> Hello
>> 
>> I would like to assert the contents of tables in my PG schema i.e. make sure 
>> it contains the data I'm expecting
>> 
>> I am aware of various options:
>> 
>> 1) Compare the actual and expected tables using a sql query, orchestrated by 
>> sqlalchemy (i.e. create the actual and expected tables in DB, run the sql 
>> comparison script, return the output)
>> 2) Load the actual tables as tuples and compare them with expected tuples 
>> using something like assert_result
>> https://github.com/sqlalchemy/sqlalchemy/blob/d933ddd503a1ca0a7c562c51c503139c541e707e/lib/sqlalchemy/testing/assertions.py#L465
>> 3) Load the actual tables as dataframes and compare them with expected 
>> dataframes using pandas assert_frame_equal
>> https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.testing.assert_frame_equal.html
>> 
>> Any recommendations / thoughts would be much appreciated, both as to the 
>> approach and the implementation :-)
> 

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