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 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....
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