bb9759917d34a531f8370006c9236fefc07e8b86
1 from django
.shortcuts
import render
2 from django
.template
import RequestContext
3 from meta
.models
import TournamentModel
, RecordModel
4 from mlpccg
.CardDb
import CARDDB
5 from mlpccg
.DeckList
import DeckList
6 from mlpccg
.Clustering
import Clustering
9 tournament_models
= TournamentModel
.objects
.all().order_by('-date')
11 for tournament
in tournament_models
:
12 tournament_records
= tournament
.recordmodel_set
.all().order_by('placement')
13 tournament_decks
= [DeckList(name
=record
.decklist
.name
, url
=record
.decklist
.url
) for record
in tournament_records
]
14 tournament_data
+= [{'tournament': tournament
, 'decklists': tournament_decks
}]
16 records
= RecordModel
.objects
.all()
17 placements
= [{'decklist': DeckList(name
=record
.decklist
.name
, url
=record
.decklist
.url
), 'placement': record
.placement
} for record
in records
if record
.decklist
.url
]
18 clustering
= Clustering(records
=placements
)
19 ranking
= [(int(avg
), label
, [decklist
for decklist
in clustering
.clusters
[label
]]) for avg
, label
in clustering
.ranking()]
21 return render(request
, 'index.html', {
23 'tournaments': tournament_data
},
24 context_instance
=RequestContext(request
))
27 records
= RecordModel
.objects
.all()
28 placements
= [{'decklist': DeckList(name
=record
.decklist
.name
, url
=record
.decklist
.url
), 'placement': record
.placement
} for record
in records
if record
.decklist
.url
]
29 clustering
= Clustering(records
=placements
)
30 decklist
= DeckList(url
=request
.POST
['url'])
31 label
= clustering
.predict(decklist
)
33 return render(request
, 'rate.html', {})