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								from collections import Counter, defaultdict
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								from itertools import cycle
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								from datetime import datetime, timedelta, date
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								from math import tau
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								from bokeh.embed import components
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								from bokeh.palettes import Dark2_8 as palette
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								from bokeh.plotting import figure, ColumnDataSource
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								from bokeh.resources import INLINE
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								from flask import render_template
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								from pony.orm import select
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								from . import app, cache
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								from .models import Room
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								def get_db_data():
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								    games_played = defaultdict(Counter)
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								    total_games = Counter()
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								    cutoff = date.today()-timedelta(days=30000)
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								    room: Room
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								    for room in select(room for room in Room if room.creation_time >= cutoff):
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								        for slot in room.seed.slots:
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								            total_games[slot.game] += 1
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								            games_played[room.creation_time.date()][slot.game] += 1
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								    return total_games, games_played
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								@app.route('/stats')
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								@cache.memoize(timeout=60*60)  # regen once per hour should be plenty
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								def stats():
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								    plot = figure(title="Games Played Per Day", x_axis_type='datetime', x_axis_label="Date",
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								                  y_axis_label="Games Played", sizing_mode="scale_both", width=500, height=500)
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								    total_games, games_played = get_db_data()
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								    days = sorted(games_played)
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								    cyc_palette = cycle(palette)
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								    for game in sorted(total_games):
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								        occurences = []
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								        for day in days:
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								            occurences.append(games_played[day][game])
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								        plot.line([datetime.combine(day, datetime.min.time()) for day in days],
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								                  occurences, legend_label=game, line_width=2, color=next(cyc_palette))
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								    total = sum(total_games.values())
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								    pie = figure(plot_height=350, title=f"Games Played in the Last 30 Days (Total: {total})", toolbar_location=None,
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								                 tools="hover", tooltips=[("Game:", "@games"), ("Played:", "@count")],
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								                 sizing_mode="scale_both", width=500, height=500)
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								    pie.axis.visible = False
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								    data = {
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								        "games": [],
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								        "count": [],
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								        "start_angles": [],
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								        "end_angles": [],
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								    }
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								    current_angle = 0
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								    for i, (game, count) in enumerate(total_games.most_common()):
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								        data["games"].append(game)
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								        data["count"].append(count)
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								        data["start_angles"].append(current_angle)
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								        angle = count / total * tau
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								        current_angle += angle
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								        data["end_angles"].append(current_angle)
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								    data["colors"] = [element[1] for element in sorted((game, color) for game, color in
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								                                                       zip(data["games"], cycle(palette)))]
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								    pie.wedge(x=0.5, y=0.5, radius=0.5,
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								              start_angle="start_angles", end_angle="end_angles", fill_color="colors",
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								              source=ColumnDataSource(data=data), legend_field="games")
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								    script, charts = components((plot, pie))
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								    return render_template("stats.html", js_resources=INLINE.render_js(), css_resources=INLINE.render_css(),
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								                           chart_data=script, charts=charts)
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