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Django: Calculate a performance rating
I’d like to calculate a performance rating based on a few values in my database.
More specifically, I’d like to:
For a software library, assign a numeric value to it based on the class names in the class hierarchy.
For a given project, that uses the library(s) that are associated with it, give it a rating (out of 10) for each class using the binary system:
F = Fail
S = Success
D = Doubtful
* = Unclassified
I have implemented the logic to rank classes and libraries in a number of occasions, but this time I’d like to assign a “performances rating” to my projects.
So far, I’ve tried the following:
Calculate performance ratings by adding and subtracting from the overall performance (out of 10).
Write a new model for each of the categories but they feel messy, so I’d like to solve it with a single method.
Tried options:
Both
Neither
Thanks!
A:
I think you may want to try something like the following:
ranks = [‘F’, ‘S’, ‘D’, ‘*’]
def get_rating(cls):
return ranks[-1] + 1 – ranks.index(cls.__name__)
def get_rank(cls):
return 1 + get_rating(cls)
def get_perf(project):
return {cls:get_rating(cls) for cls in project.__class__.__mro__[:-1] if cls in project.__class__.__mro__[-1] and project.__class__.__
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Ancient Lights () is a 1958 Soviet adventure film directed by Grigori Kozintsev.
Plot
Travelling geologist Ivan Ilych is sent to the Katunai-Urmia turnstile in the Kazakh territory to check on the construction of the ancient Urmia solar observatory. The expert finds the construction of the observatory in the most difficult place, and even when it is opened, the director of the observatory does not want to admit a simple geologist and is inclined to discredit it. But Ilych manages to convince him.
Cast
Igor Belosselskiy
Mikhail Boldyrev
Lyudmila Gurchenko
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Nonna Grushechkina
Yuri Kvashnin
Maksim Konovalov
Nonna Lukashka
Tati Maslova
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External links
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