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+2) { 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; }
144 <title>Berlin's Corona infection numbers, development by districts</title>
146 <a href="/">home</a> · <a href="/contact.html">contact</a> · <a href="/privacy.html">privacy</a>
147 <h1>Berlin's Corona infection numbers, development by districts</h1>
148 <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>
152 sorted_dates.reverse()
153 sum_district = sorted_districts[-1]
154 for district in sorted_districts:
155 long_form = translate[district]
156 if sum_district == district:
157 print('<th>%s</th>' % long_form)
159 print('<th class="district_name">%s</th>' % long_form)
161 for date in sorted_dates:
162 print('<tr class="day_row">')
163 print('<td>%s</td>' % date)
164 long_wsum = translate['wsum']
165 long_wavg = translate['wavg']
166 long_winc = translate['winc']
167 for district in sorted_districts:
168 district_data = db[district][date]
169 week_sum = week_avg = week_inc = '(not enough data)'
170 new_infections = district_data['new_infections']
171 if 'week_sum' in district_data:
172 week_sum = '%s' % district_data['week_sum']
173 if 'week_average' in district_data:
174 week_avg = '%.1f' % district_data['week_average']
175 if 'week_incidence' in district_data:
176 week_inc = '%.1f' % district_data['week_incidence']
178 print('<span class="new_infections">%s</span>' % new_infections)
179 if district != sum_district:
180 print('<details><summary></summary>')
181 print('<table class="bonus_data">')
182 print('<tr><th>%s</th><td>%s</td></tr>' % (long_wsum, week_sum))
183 print('<tr><th>%s</th><td>%s</td></tr>' % (long_wavg, week_avg))
184 print('<tr><th>%s</th><td>%s</td></tr>' % (long_winc, week_inc))
186 if district != sum_district:
193 # Optimized for in-terminal curl.
194 elif output_type == 'txt':
196 # Explain what this is.
198 """Table of Berlin's Corona infection number development by districts.
199 Updated daily at 9pm based on data from the "Senatsverwaltung für Gesundheit, Pflege und Gleichstellung".
201 Abbrevations/explanations:
204 intro += "%s: %s\n" % (k, translate[k])
206 Source code: https://plomlompom.com/repos/?p=berlin-corona-table
208 HTML view: https://plomlompom.com/berlin_corona.html
212 # Output table of enhanced daily infection data, newest on top,
213 # separated into 7-day units.
214 sorted_dates.reverse()
216 sum_district = sorted_districts[-1]
217 for date in sorted_dates:
220 if weekday_count == 0:
221 print(' '*11, ' '.join(sorted_districts[:-1]),
222 sorted_districts[-1], 'wsum', ' wavg', 'winc')
223 week_start_date = date
227 for district in sorted_districts:
228 new_infections += [db[district][date]['new_infections']]
229 week_sum = week_avg = week_inc = ''
230 sum_district_data = db[sum_district][date]
231 if 'week_sum' in sum_district_data:
232 week_sum = '%4s' % sum_district_data['week_sum']
233 if 'week_average' in sum_district_data:
234 week_avg = '%5.1f' % sum_district_data['week_average']
235 if 'week_incidence' in sum_district_data:
236 week_inc = '%4.1f' % sum_district_data['week_incidence']
237 print(date, ' '.join(['%3s' % infections
238 for infections in new_infections]),
239 week_sum, week_avg, week_inc)
241 # Maintain 7-day cycle.
243 if weekday_count != 7:
247 # After each 7 days, print summary for individual districts.
251 for district in sorted_districts[:-1]:
252 weekly_sums += [db[district][week_start_date]['week_sum']]
253 weekly_avgs += [db[district][week_start_date]['week_average']]
254 weekly_incs += [db[district][week_start_date]['week_incidence']]
256 print('district stats for week from %s to %s:' % (date, week_start_date))
257 print(' '*7, ' '.join(sorted_districts[:-1]))
258 print('wsum', ' '.join(['%5.1f' % wsum for wsum in weekly_sums]))
259 print('wavg', ' '.join(['%5.1f' % wavg for wavg in weekly_avgs]))
260 print('winc', ' '.join(['%5.1f' % winc for winc in weekly_incs]))