62 lines
2.5 KiB
Python
62 lines
2.5 KiB
Python
from .database import Team, Challenge, ChallengeSolve, ScoreAdjustment
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from datetime import datetime, timedelta
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import config
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def get_all_scores(teams, solves, adjustments):
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scores = {team.id: 0 for team in teams}
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for solve in solves:
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scores[solve.team_id] += solve.challenge.points
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for adjustment in adjustments:
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scores[adjustment.team_id] += adjustment.value
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return scores
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def get_last_solves(teams, solves):
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last = {team.id: datetime(1970, 1, 1) for team in teams}
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for solve in solves:
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if solve.time > last[solve.team_id]:
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last[solve.team_id] = solve.time
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return last
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def calculate_scores():
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solves = ChallengeSolve.select(ChallengeSolve, Challenge).join(Challenge)
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adjustments = ScoreAdjustment.select()
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teams = Team.select()
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team_solves = {team.id: [] for team in teams}
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team_mapping = {team.id: team for team in teams}
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scores = {team.id: 0 for team in teams}
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for solve in solves:
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scores[solve.team_id] += solve.challenge.points
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team_solves[solve.team_id].append(solve)
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for adjustment in adjustments:
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scores[adjustment.team_id] += adjustment.value
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most_recent_solve = {tid: max([i.time for i in team_solves[tid]]) for tid in team_solves if team_solves[tid]}
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scores = {i: j for i, j in scores.items() if i in most_recent_solve}
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# eligible, teamid, teamname, affiliation, score
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return [(team_mapping[i[0]].eligible(), i[0], team_mapping[i[0]].name, team_mapping[i[0]].affiliation, i[1]) for idx, i in enumerate(sorted(scores.items(), key=lambda k: (-k[1], most_recent_solve[k[0]])))]
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def calculate_graph(scoredata):
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solves = list(ChallengeSolve.select(ChallengeSolve, Challenge).join(Challenge).order_by(ChallengeSolve.time))
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adjustments = list(ScoreAdjustment.select())
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scoredata = [i for i in scoredata if i[0]] # Only eligible teams are on the score graph
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graph_data = []
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for eligible, tid, name, affiliation, score in scoredata[:config.teams_on_graph]:
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our_solves = [i for i in solves if i.team_id == tid]
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team_data = []
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s = sum([i.value for i in adjustments if i.team_id == tid])
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for i in sorted(our_solves, key=lambda k: k.time):
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team_data.append((str(i.time), s))
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s += i.challenge.points
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team_data.append((str(i.time + timedelta(microseconds=1000)), s))
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team_data.append((str(datetime.now()), score))
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graph_data.append((name, team_data))
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return graph_data
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