Thanks! And to show the differences more clearly:
for tag, i1, i2, j1, j2 in sm.get_opcodes():
if tag == 'replace':
for i in range(i1,i2):
print (seq1[i])
print (seq2[i])
Soumaya
On Monday, 2 December 2019 16:54:16 UTC, Steven James wrote:
>
> In case you want more details about the differences, you could also use
> difflib...
>
> from difflib import SequenceMatcher
>
> seq1 = [tuple(row.values()) for row in resultproxy1]
> seq2 = [tuple(row.values()) for row in resultproxy2]
>
> sm = SequenceMatcher(a=seq1, b=seq2, autojunk=False)
> print(sm.get_opcodes())
> print(f'similarity: {sm.ratio()}')
>
> assert sm.ratio() == 1 # example to ensure results are equivalent
> assert sm.ratio() == 1, sm.get_opcodes() # pytest syntax to show the
> opcodes if the assertion fails
>
> Steven James
>
> On Friday, 29 November 2019 09:13:23 UTC-5, 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 :-)
>>
>> 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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