/territories

Simple library for dealing with territory structures used in music metadata

Primary LanguagePythonMIT LicenseMIT

Music Metadata - Territories

Build Status Coverage Status GitHub PyPI

A simple library for dealing with territory hierarchies used in music metadata, currently primarily focused on CISAC TIS.

Classes

It has only two classes:

  • Territory - the territory, e.g. World, Europe, Croatia
  • TerritoryList - this class makes including and excluding territories simpler, it also splits territories down when needed

Territory manipulation

World excluding USA results in a minimal list of included territories:

from music_metadata.territories.territory import Territory
from music_metadata.territories.territory_list import TerritoryList

world = Territory.get('2136')
usa = Territory.get('US')

l = TerritoryList()
l.include(world)
l.exclude(usa)

for t in sorted(l, key=lambda x: x.name):
    print(f'{t.tis_n:0>4}', t.name)

Result:

2100 AFRICA
2106 ASIA
0124 CANADA
2113 CENTRAL AMERICA
2120 EUROPE
0484 MEXICO
2130 OCEANIA
2132 SOUTH AMERICA
2134 WEST INDIES

It is simple to list all the countries as well:

for t in sorted(l.countries, key=lambda x: x.name):
    print(f'{t.tis_a:0>4}', t.name)

Result:

AF AFGHANISTAN
AL ALBANIA
DZ ALGERIA
AD ANDORRA
AO ANGOLA
AG ANTIGUA AND BARBUDA
AR ARGENTINA
AM ARMENIA
AU AUSTRALIA
AT AUSTRIA
...

The shorter version also works, yielding same results:

from music_metadata.territories.territory_list import TerritoryList

l = TerritoryList()
l.include('2136')  # WORLD
l.exclude('US')  # USA

for t in sorted(l, key=lambda x: x.name):
    print(f'{t.tis_n:0>4}', t.name)

One can check if a country is finally included in the list:

usa in l
False

Works also with territories deeper in the structure, also with codes:

'hr' in l
True

Share manipulation

Share calculations are also possible, by using a second argument to TerritoryList.include and TerritoryList.add. This second argument can be any objects that allows adding.

from music_metadata.territories.territory import Territory
from music_metadata.territories.territory_list import TerritoryList

world = Territory.get('2136')
usa = Territory.get('US')
canada = Territory.get('CA')

l = TerritoryList()
l.include(world, 25)
l.add(usa, 25)

So, we there is 25 for the whole world and additional 25 for the US. If we ask for values for the US and Canada:

l[usa], l[canada]

We get 50 for the US and 25 for Canada.

(50, 25)

Any numeric type will work out of the box, custom __add__ method might be required for complex objects. Here is an example for a list of numeric fields:

class Shares(list):
    def __add__(self, other):
        return Shares([self[i] + other[i] for i in range(len(self))])   

Compressing output

Long lists can be trimmed, both if they have values and if they do not. Only territories with the same object will be compressed. Consider this:

from music_metadata.territories.territory_list import TerritoryList

l = TerritoryList()
l.include('2136', 25)
l.exclude('HR')
l.add('US', 25)  # US is now at 50
l.include('HR', 25)  # same as it used to be

for t, v in l.items():
    print(f'{t.name}: {v}')
ASIA: 25
OCEANIA: 25
AFRICA: 25
MALTA: 25
ICELAND: 25
... 30 territories cut out ...
MEXICO: 25
UNITED STATES: 50
CROATIA: 25

But, if we compress:

l.compress()

for t, v in l.items():
    print(f'{t.name}: {v}')
CANADA: 25
MEXICO: 25
UNITED STATES: 50
AFRICA: 25
ASIA: 25
EUROPE: 25
OCEANIA: 25
WEST INDIES: 25
SOUTH AMERICA: 25
CENTRAL AMERICA: 25

Demo

Available as utility in free online CWR.tools.

Similar utility is part of Web Wrapper for Music Metadata Python Libraries, but you need to deploy it yourself. Deployment to Heroku is fully automated.