1 #!//usr/bin/env python3
3 # District population numbers as per Wikipedia.
20 # Map abbreviations to full names.
22 'CW': 'Charlottenburg-Wilmersdorf',
23 'FK': 'Friedrichshain-Kreuzberg',
25 'MH': 'Marzahn-Hellersdorf',
29 'Re': 'Reinickendorf',
31 'SZ': 'Steglitz-Zehlendorf',
32 'TS': 'Tempelhof-Schöneberg',
33 'TK': 'Treptow-Köpenick',
34 'sum': 'all of Berlin',
35 'wsum': 'sum for last 7 days',
36 'wavg': 'per-day average of new infections for last 7 days',
37 'winc': 'incidence (x per 100k inhabitants) of new infections for last 7 days',
40 # Read infections table path and output type.
42 if len(sys.argv) != 3:
43 print('Expecting infections table file path and output type as only arguments.')
45 infections_table = sys.argv[1]
46 output_type = sys.argv[2]
48 # Read infections table file lines.
49 f = open(infections_table, 'r')
53 # Basic input validation.
55 header_elements = lines[0].split()
56 if set(header_elements) != district_pops.keys() or \
57 len(header_elements) != len(district_pops.keys()):
58 raise Exception('infections table: invalid header')
60 for line in lines[1:]:
63 if len(header_elements) != len(fields) - 1:
64 raise Exception('infections table: too many elements on line %s',
67 datetime.date.fromisoformat(fields[0])
69 raise Exception('infections table: bad ISO date on line %s',
71 for field in fields[1:]:
75 raise Exception('infections table: bad value on line %s',
78 # Parse first table file line for the names and order of districts.
81 for header in lines[0].split():
82 sorted_districts += [header]
85 # Seed DB with daily new infections data per district, per date.
87 for line in lines[1:]:
90 sorted_dates += [date]
91 for i in range(len(sorted_districts)):
92 district = sorted_districts[i]
93 district_data = fields[i + 1]
94 db[district][date] = {'new_infections': int(district_data)}
97 # In LaGeSo's data, the last "district" is actually the sum of all districts /
98 # the whole of Berlin.
100 # Fail on any day where the "sum" district's new infections are not the proper
101 # sum of the individual districts new infections. Yes, sometimes Lageso sends
102 # data that is troubled in this way. It will then have to be fixed manually in
103 # the table file, since we should have a human look at what mistake was
105 for date in sorted_dates:
106 sum_district = sorted_districts[-1]
108 for district in sorted_districts[:-1]:
109 day_sum += db[district][date]['new_infections']
110 if day_sum != db[sum_district][date]['new_infections']:
111 raise Exception('Questionable district infection sum in %s' % date)
113 # Enhance DB with data about weekly sums, averages, incidences per day. Ignore
114 # days that have less than 6 predecessors (we can only know a weekly average if
115 # we have a whole week of data).
116 for i in range(len(sorted_dates)):
119 date = sorted_dates[i]
122 week_dates += [sorted_dates[i - j]]
123 for district in sorted_districts:
124 district_pop = district_pops[district]
126 for week_date in week_dates:
127 week_sum += db[district][week_date]['new_infections']
128 db[district][date]['week_sum'] = week_sum
129 db[district][date]['week_average'] = week_sum / 7
130 db[district][date]['week_incidence'] = (week_sum / district_pop) * 100000
132 # Optimized for web browser viewing.
133 if output_type == 'html':
134 print("""<!DOCTYPE html>
138 table, tr, th, td { border: 1px solid black; text-align: center; }
139 .day_row:nth-child(7n+1) { background-color: yellow; }
140 .district_name { writing-mode: vertical-rl; transform: rotate(180deg); }
141 .bonus_data th { font-weight: normal; }
142 .new_infections { font-weight: bold; }
143 thead th { position: sticky; top: 0; background-color: white; }
145 <title>Berlin's Corona infection numbers, development by districts</title>
147 <a href="/">home</a> · <a href="/contact.html">contact</a> · <a href="/privacy.html">privacy</a>
148 <h1>Berlin's Corona infection numbers, development by districts</h1>
149 <p>Updated daily at 9pm based on data from the "Senatsverwaltung für Gesundheit, Pflege und Gleichstellung". <a href="https://plomlompom.com/repos/?p=berlin-corona-table">Source code</a>. <a href="berlin_corona.txt">Text view optimized for terminal curl</a>.</p>
154 sorted_dates.reverse()
155 sum_district = sorted_districts[-1]
156 for district in sorted_districts:
157 long_form = translate[district]
158 if sum_district == district:
159 print('<th>%s</th>' % long_form)
161 # Wrap in div because the vertical orientation otherwise fails
163 print('<th><div class="district_name">%s</div></th>' % long_form)
166 for date in sorted_dates:
167 print('<tr class="day_row">')
168 print('<td>%s</td>' % date)
169 long_wsum = translate['wsum']
170 long_wavg = translate['wavg']
171 long_winc = translate['winc']
172 for district in sorted_districts:
173 district_data = db[district][date]
174 week_sum = week_avg = week_inc = '(not enough data)'
175 new_infections = district_data['new_infections']
176 if 'week_sum' in district_data:
177 week_sum = '%s' % district_data['week_sum']
178 if 'week_average' in district_data:
179 week_avg = '%.1f' % district_data['week_average']
180 if 'week_incidence' in district_data:
181 week_inc = '%.1f' % district_data['week_incidence']
183 print('<span class="new_infections">%s</span>' % new_infections)
184 if district != sum_district:
185 print('<details><summary></summary>')
186 print('<table class="bonus_data">')
187 print('<tr><th>%s</th><td>%s</td></tr>' % (long_wsum, week_sum))
188 print('<tr><th>%s</th><td>%s</td></tr>' % (long_wavg, week_avg))
189 print('<tr><th>%s</th><td>%s</td></tr>' % (long_winc, week_inc))
191 if district != sum_district:
198 # Optimized for in-terminal curl.
199 elif output_type == 'txt':
201 # Explain what this is.
203 """Table of Berlin's Corona infection number development by districts.
204 Updated daily at 9pm based on data from the "Senatsverwaltung für Gesundheit, Pflege und Gleichstellung".
206 Abbrevations/explanations:
209 intro += "%s: %s\n" % (k, translate[k])
211 Source code: https://plomlompom.com/repos/?p=berlin-corona-table
213 HTML view: https://plomlompom.com/berlin_corona.html
217 # Output table of enhanced daily infection data, newest on top,
218 # separated into 7-day units.
219 sorted_dates.reverse()
221 sum_district = sorted_districts[-1]
222 for date in sorted_dates:
225 if weekday_count == 0:
226 print(' '*11, ' '.join(sorted_districts[:-1]),
227 sorted_districts[-1], 'wsum', ' wavg', 'winc')
228 week_start_date = date
232 for district in sorted_districts:
233 new_infections += [db[district][date]['new_infections']]
234 week_sum = week_avg = week_inc = ''
235 sum_district_data = db[sum_district][date]
236 if 'week_sum' in sum_district_data:
237 week_sum = '%4s' % sum_district_data['week_sum']
238 if 'week_average' in sum_district_data:
239 week_avg = '%5.1f' % sum_district_data['week_average']
240 if 'week_incidence' in sum_district_data:
241 week_inc = '%4.1f' % sum_district_data['week_incidence']
242 print(date, ' '.join(['%3s' % infections
243 for infections in new_infections]),
244 week_sum, week_avg, week_inc)
246 # Maintain 7-day cycle.
248 if weekday_count != 7:
252 # After each 7 days, print summary for individual districts.
256 for district in sorted_districts[:-1]:
257 weekly_sums += [db[district][week_start_date]['week_sum']]
258 weekly_avgs += [db[district][week_start_date]['week_average']]
259 weekly_incs += [db[district][week_start_date]['week_incidence']]
261 print('district stats for week from %s to %s:' % (date, week_start_date))
262 print(' '*7, ' '.join(sorted_districts[:-1]))
263 print('wsum', ' '.join(['%5.1f' % wsum for wsum in weekly_sums]))
264 print('wavg', ' '.join(['%5.1f' % wavg for wavg in weekly_avgs]))
265 print('winc', ' '.join(['%5.1f' % winc for winc in weekly_incs]))