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From: Joshua Landau <joshua.landau.ws@gmail.com>
Date: Sun, 7 Jul 2013 02:50:58 +0100
Subject: Re: need data structure to for test results analysis
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Xref: csiph.com comp.lang.python:50091

On 6 July 2013 15:58,  <terry433iid@googlemail.com> wrote:
> I have a python program that reads test result information from SQL and creates the following data that I want to capture in a data structure so it can be prioritized appropriately :-
>
> test_name     new fail                                       P1
> test_name     known fail (but no bug logged)                 P2
> test_name     known fail (bug logged but is closed)          P3
> test_name     known fail (bug is open)                       P4
>
>
>
>
> If I run my script I will get  one of these types of failures - PLUS the number of occurrences of each type, sample data as follows:-
>  P1 new fail   | occurrence once (obviously)
>  P1 new fail   | occurrence once (obviously)
>  P1 new fail   | occurrence once (obviously)
>  P1 new fail   | occurrence once (obviously)
>  P2 known fail | occurred previously 10 times in earlier executions
>  P2 known fail | occurred previously 15 times in earlier executions
>  P2 known fail | occurred previously 16 times in earlier executions
>  P2 known fail | occurred previously 5 times in earlier executions
>  P3 known fail | occurred previously 6 times in earlier executions
>  P4 known fail | occurred previously 1 times in earlier executions
>  P4 known fail | occurred previously 12 times in earlier executions
> .
> .
> .
> etc

I'm assuming you can put this into a list like:

    failures = [failure1, failure2, failure3, ...]

A failure can be represented by a "namedtuple" or a class or some
other thing. For simplicity, I'll use a class:

    class Failure:
        def __init__(self, name, type):
            self.name, self.type = name, type

        def __repr__(self):
            return "Failure({}, {})".format(self.name, self.type)

> I want to be store this in an appropriate structure so I can then so some analysis :-
>   if (all reported fails are "new fail"):
>       this is priority 1
>   if (some fails are "new fail" and some are known (P2/P3/P4):
>       this is priority 2
>   if (no new fail, but all/some reported fails are "P2 known fail")
>       this is priority 3
>   if ( all/some reported fails are "P3 known fail")
>       this is priority 4
>   if ( all/some reported fails are "P4 known fail")
>       this is priority 4
>
> I have tried using dictionary/lists but can't get the exact final outcome I want, any help appreciated....

You have your list of Failure()s, so you can do:

if all(fail.type == "new fail" for fail in failures):
    set_priority_1()

elif any(fail.type == "new fail" for fail in failures):
    set_priority_2()

elif any(fail.type == "P2 known fail" for fail in failures):
    set_priority_3()

elif any(fail.type == "P3 known fail" for fail in failures):
    set_priority_4()

elif any(fail.type == "P4 known fail" for fail in failures):
    set_priority_4()

else:
    freak_out()


If you want something else, I'm not sure what you're asking.