111 lines
5.6 KiB
Python
111 lines
5.6 KiB
Python
from flask import Blueprint, render_template, redirect, url_for, flash
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from flask_login import login_required, current_user
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from extensions import db
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from models import User, Tryout, Evaluation, TryoutRegistration, Team, TeamMember, Match, MatchParticipant
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from sqlalchemy import func
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from datetime import datetime, date
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main_bp = Blueprint('main', __name__)
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@main_bp.route('/')
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def index():
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return redirect(url_for('auth.login'))
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@main_bp.route('/dashboard')
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@login_required
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def dashboard():
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user = current_user
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stats = {}
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if user.role == 'president':
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stats['total_users'] = User.query.count()
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stats['total_players'] = User.query.filter_by(role='player').count()
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stats['total_tryouts'] = Tryout.query.count()
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stats['total_evaluations'] = Evaluation.query.count()
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stats['active_tryouts'] = Tryout.query.filter_by(status='in_progress').count()
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stats['upcoming_tryouts'] = Tryout.query.filter_by(status='upcoming').count()
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stats['recent_users'] = User.query.order_by(User.created_at.desc()).limit(5).all()
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stats['recent_tryouts'] = Tryout.query.order_by(Tryout.created_at.desc()).limit(5).all()
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elif user.role == 'manager':
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stats['total_tryouts'] = Tryout.query.filter_by(created_by=user.id).count()
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stats['active_tryouts'] = Tryout.query.filter_by(created_by=user.id, status='in_progress').count()
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stats['total_evaluations'] = Evaluation.query.filter_by(evaluator_id=user.id).count()
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stats['my_tryouts'] = Tryout.query.filter_by(created_by=user.id).order_by(Tryout.date.desc()).limit(5).all()
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elif user.role == 'coach':
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stats['my_evaluations'] = Evaluation.query.filter_by(evaluator_id=user.id).count()
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stats['pending_evaluations'] = 0
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registrations = TryoutRegistration.query.filter(TryoutRegistration.status.in_(['registered', 'attended'])).all()
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registered_player_ids = [r.player_id for r in registrations]
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evaluated_player_ids = [e.player_id for e in Evaluation.query.filter_by(evaluator_id=user.id).all()]
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stats['pending_evaluations'] = len(set(registered_player_ids) - set(evaluated_player_ids))
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stats['my_recent_evaluations'] = Evaluation.query.filter_by(evaluator_id=user.id).order_by(Evaluation.created_at.desc()).limit(5).all()
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elif user.role == 'player':
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stats['my_tryouts'] = TryoutRegistration.query.filter_by(player_id=user.id).count()
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stats['my_evaluations'] = Evaluation.query.filter_by(player_id=user.id).count()
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stats['average_score'] = db.session.query(func.avg(Evaluation.overall_score)).filter_by(player_id=user.id).scalar() or 0
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stats['my_registrations'] = TryoutRegistration.query.filter_by(player_id=user.id).order_by(TryoutRegistration.registered_at.desc()).limit(5).all()
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stats['my_eval_list'] = Evaluation.query.filter_by(player_id=user.id).order_by(Evaluation.created_at.desc()).limit(5).all()
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# Get next match for each tryout the player is in
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today = date.today()
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next_matches = []
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for reg in stats['my_registrations']:
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tryout = reg.tryout
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# Find matches where player participates (team membership or direct participant)
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player_teams = Team.query.join(TeamMember).filter(
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Team.tryout_id == tryout.id,
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TeamMember.player_id == user.id
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).all()
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# Get matches for this tryout that include the player
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tryout_matches = Match.query.filter(
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Match.tryout_id == tryout.id,
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Match.status == 'scheduled'
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).order_by(Match.date, Match.start_time).all()
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for match in tryout_matches:
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# Check if player is in this match
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is_participant = False
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if match.match_type == 'team_vs_team':
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# Check if player is on team1 or team2
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if match.team1_id in [t.id for t in player_teams] or match.team2_id in [t.id for t in player_teams]:
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is_participant = True
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else:
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# Check if player is in match participants
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participant = MatchParticipant.query.filter_by(
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match_id=match.id,
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player_id=user.id
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).first()
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if participant:
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is_participant = True
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if is_participant:
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# Check if match is upcoming
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match_date = match.date
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if match_date >= today:
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next_matches.append({
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'tryout': tryout,
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'match': match,
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'team': player_teams[0] if player_teams else None
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})
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break # Only get the next match per tryout
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stats['next_matches'] = next_matches
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elif user.role == 'scout':
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stats['total_players'] = User.query.filter_by(role='player').count()
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stats['total_evaluations'] = Evaluation.query.count()
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stats['avg_scores'] = db.session.query(
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Evaluation.player_id,
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func.avg(Evaluation.overall_score).label('avg_score')
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).group_by(Evaluation.player_id).order_by(func.avg(Evaluation.overall_score).desc()).limit(5).all()
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stats['top_players'] = []
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for row in stats['avg_scores']:
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p = User.query.get(row.player_id)
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if p:
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stats['top_players'].append((p, round(row.avg_score, 1)))
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return render_template('pages/dashboard.html', user=user, stats=stats) |