- sum_district_data = db[sum_district][date]
- if 'week_sum' in sum_district_data:
- week_sum = '%4s' % sum_district_data['week_sum']
- if 'week_average' in sum_district_data:
- week_avg = '%5.1f' % sum_district_data['week_average']
- if 'week_incidence' in sum_district_data:
- week_inc = '%4.1f' % sum_district_data['week_incidence']
- print(date, ' '.join(['%3s' % infections for infections in new_infections]),
- week_sum, week_avg, week_inc)
-
- # Maintain 7-day cycle.
- weekday_count += 1
- if weekday_count != 7:
- continue
+ for date in sorted_dates:
+ print('<tr>')
+ print('<td>%s</td>' % date)
+ long_wsum = translate['wsum']
+ long_wavg = translate['wavg']
+ long_winc = translate['winc']
+ for district in sorted_districts:
+ district_data = db[district][date]
+ week_sum = week_avg = week_inc = ''
+ new_infections = district_data['new_infections']
+ if 'week_sum' in district_data:
+ week_sum = '%s' % district_data['week_sum']
+ if 'week_average' in district_data:
+ week_avg = '%.1f' % district_data['week_average']
+ if 'week_incidence' in district_data:
+ week_inc = '%.1f' % district_data['week_incidence']
+ print('<td>')
+ print(new_infections)
+ if district == sum_district:
+ print('<details open><summary></summary><table>')
+ else:
+ print('<details><summary></summary><table>')
+ print('<tr><th>%s</th><td>%s</td></tr>' % (long_wsum, week_sum))
+ print('<tr><th>%s</th><td>%s</td></tr>' % (long_wavg, week_avg))
+ print('<tr><th>%s</th><td>%s</td></tr>' % (long_winc, week_inc))
+ print('</table></details>')
+ print('</td>')
+ print('</tr>')
+ print('</table>')
+ print('</html>')
+
+# Optimized for in-terminal curl.
+elif output_type == 'txt':
+
+ # Explain what this is.
+ intro = \
+"""Table of Berlin's Corona infection number development by districts.
+Updated daily around 9pm.
+
+Abbrevations/explanations:
+"""
+ for k in translate:
+ intro += "%s: %s\n" % (k, translate[k])
+ intro += """
+Source code: https://plomlompom.com/repos/?p=berlin-corona-table
+"""
+ print(intro)
+
+ # Output table of enhanced daily infection data, newest on top,
+ # separated into 7-day units.
+ sorted_dates.reverse()