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import re
from .butler import cutoff, get_opponents, get_room, normalize
from .db import get_session
from .model import AusButler, Butler
class Interface(object):
def __init__(self, config):
self.session = get_session()
self.config = config
def calculate_all(self):
self.init_db()
self.populate_db()
self.opp_scores()
self.normalize_scores()
def init_db(self, force=False):
from .model import Base
if force:
Base.metadata.drop_all(self.session.get_bind())
Base.metadata.create_all(self.session.get_bind())
def populate_db(self):
self.session.query(AusButler).delete()
column_name = re.compile(r'^seg(\d+)_(\d+)$')
for butler in self.session.query(Butler).all():
for column, value in butler.__dict__.iteritems():
column_match = re.match(column_name, column)
if column_match:
if value is not None:
aus_b = AusButler()
aus_b.id = butler.id
aus_b.match = int(column_match.group(1), base=10)
aus_b.segment = int(column_match.group(2))
aus_b.score = float(value)
aus_b.cut_score = cutoff(
aus_b.score,
self.config['cutoff_point'],
self.config['cutoff_rate'])
aus_b.board_count = aus_b.table.butler_count[
get_room(aus_b, butler.id)]
self.session.add(aus_b)
self.session.commit()
def opp_scores(self):
butlers = self.session.query(AusButler).all()
for butler in butlers:
opps = get_opponents(butler, butler.id)
averages = {opps[0]: {'sum': 0.0, 'count': 0},
opps[1]: {'sum': 0.0, 'count': 0}}
for opp_butler in butlers:
if opp_butler.id in opps \
and (opp_butler.match < butler.match or \
(opp_butler.match == butler.match and opp_butler.segment <= butler.segment)):
averages[opp_butler.id]['sum'] += opp_butler.cut_score
averages[opp_butler.id]['count'] += opp_butler.board_count
butler.opp_score = sum(
[opp['sum'] / opp['count'] if opp['count'] > 0 else 0.0
for opp in averages.values()]
) / 2
self.session.commit()
def normalize_scores(self):
for butler in self.session.query(AusButler).all():
butler.corrected_score = normalize(
butler, self.config['opponent_factor'])
self.session.commit()
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