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@ -14,8 +14,10 @@ import bokeh.settings
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import numpy as np
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import requests
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def format_year(year):
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if year > 10:
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year += 2006
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return 'DBfH {}'.format(year)
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def parse_json(json_donations, start_date, end_hour=np.inf, every_five=True):
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@ -49,8 +51,7 @@ def load_previous_donations(start_end_times, donation_url_template, timeout):
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start, end = start_end_times[year]
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if not end:
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current_year = year
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continue
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continue
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url = donation_url_template.format(year, year)
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logging.info('Loading {}'.format(url))
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@ -69,10 +70,7 @@ def all_years_donations_graph(start_end_times, all_years, current_year, current_
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p.add_tools(bokeh.models.HoverTool(tooltips=[('', '$name'), ('Bustime', '@Bustime{00:00:00}'),
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('Donations', '$@Donations{0,0.00}')]))
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for year in start_end_times:
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label_year = year
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if year > 10:
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label_year += 2006
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label = 'DBfH {}'.format(label_year)
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label = format_year(year)
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if year != current_year:
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times, donations = all_years[year]
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line_width = 2
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@ -93,9 +91,49 @@ def all_years_donations_graph(start_end_times, all_years, current_year, current_
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p.legend.click_policy="hide"
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output_path = os.path.join(base_dir, 'all_years_donations.html')
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bokeh.settings.settings.py_log_level = 'warn'
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bokeh.plotting.output_file(filename=output_path, title='DBfH All Years Donations')
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bokeh.plotting.save(p, filename=output_path)
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logging.info('{} Saved'.format(output_path))
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def shifts_graph(start_end_times, current_year, current_json, base_dir, shifts):
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logging.info('Generating DBfH {} shifts graph'.format(current_year))
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times, donations = parse_json(current_json, start_end_times[current_year][0], every_five=False)
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start_hour = int(start_end_times[current_year][0][11:13])
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hours = times / 3600 + start_hour
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mod_hours = hours % 24
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n_days = int(hours.max() / 24) + 1
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p = bokeh.plotting.figure(x_axis_label='Hour of Day', y_axis_label='Donations', x_range=(0, 24 * 3600),
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width=1280, height=720, active_scroll='wheel_zoom',
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tools='pan,wheel_zoom,box_zoom,reset')
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p.add_tools(bokeh.models.HoverTool(tooltips=[('', '$name'), ('Hour of Day', '@Hours{00:00:00}'),
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('Donations', '$@Donations{0,0.00}')]))
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for day in range(n_days):
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for shift in shifts:
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in_range = (hours >= day * 24 + shift[1]) & (hours <= day * 24 + shift[2])
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hours_in_range = mod_hours[in_range]
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if mod_hours[in_range].size:
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if hours_in_range[-1] == 0.:
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hours_in_range[-1] = 24
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model = bokeh.models.ColumnDataSource(data={'Hours':hours_in_range * 3600, 'Donations':donations[in_range] - donations[in_range][0]})
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p.line(x='Hours', y='Donations', source=model, line_color=bokeh.palettes.Category10[10][day],
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line_width=2, legend_label='Day {}'.format(day + 1), name='Day {} {}'.format(day + 1, shift[0]))
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p.xaxis.ticker = bokeh.models.AdaptiveTicker(mantissas=[60, 120, 300, 600, 1200, 3600, 7200, 10800, 43200, 86400], base=10000000)
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p.xaxis.formatter = bokeh.models.NumeralTickFormatter(format='00:00:00')
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p.yaxis.formatter = bokeh.models.NumeralTickFormatter(format='$0,0')
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p.legend.location = "top_left"
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p.legend.click_policy="hide"
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output_path = os.path.join(base_dir, 'DBfH_{}_shifts_graph.html'.format(current_year))
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bokeh.plotting.output_file(filename=output_path, title='{} Shift Donations'.format(format_year(current_year)))
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bokeh.plotting.save(p, filename=output_path)
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logging.info('{} Saved'.format(output_path))
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@ -107,7 +145,12 @@ def main(donation_url_template, base_dir='.'):
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logging.getLogger('bokeh').setLevel(logging.WARNING)
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delay = 60 * 1
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timeout = 15
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timeout = 15
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shifts = [['Zeta Shift', 0, 6],
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['Alpha Flight', 6, 12],
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['Dawn Guard', 12, 18],
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['Night Watch', 18, 24]]
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# First load data required
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logging.info('Loading start and end times')
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@ -126,6 +169,8 @@ def main(donation_url_template, base_dir='.'):
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current_json = requests.get(current_url, timeout=timeout).json()
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all_years_donations_graph(start_end_times, all_years, current_year, current_json, base_dir)
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shifts_graph(start_end_times, current_year, current_json, base_dir, shifts)
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except Exception:
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