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 # Wrap in div because the vertical orientation otherwise fails
161 print('<th><div class="district_name">%s</div></th>' % long_form)
163 for date in sorted_dates:
164 print('<tr class="day_row">')
165 print('<td>%s</td>' % date)
166 long_wsum = translate['wsum']
167 long_wavg = translate['wavg']
168 long_winc = translate['winc']
169 for district in sorted_districts:
170 district_data = db[district][date]
171 week_sum = week_avg = week_inc = '(not enough data)'
172 new_infections = district_data['new_infections']
173 if 'week_sum' in district_data:
174 week_sum = '%s' % district_data['week_sum']
175 if 'week_average' in district_data:
176 week_avg = '%.1f' % district_data['week_average']
177 if 'week_incidence' in district_data:
178 week_inc = '%.1f' % district_data['week_incidence']
180 print('<span class="new_infections">%s</span>' % new_infections)
181 if district != sum_district:
182 print('<details><summary></summary>')
183 print('<table class="bonus_data">')
184 print('<tr><th>%s</th><td>%s</td></tr>' % (long_wsum, week_sum))
185 print('<tr><th>%s</th><td>%s</td></tr>' % (long_wavg, week_avg))
186 print('<tr><th>%s</th><td>%s</td></tr>' % (long_winc, week_inc))
188 if district != sum_district:
195 # Optimized for in-terminal curl.
196 elif output_type == 'txt':
198 # Explain what this is.
200 """Table of Berlin's Corona infection number development by districts.
201 Updated daily at 9pm based on data from the "Senatsverwaltung für Gesundheit, Pflege und Gleichstellung".
203 Abbrevations/explanations:
206 intro += "%s: %s\n" % (k, translate[k])
208 Source code: https://plomlompom.com/repos/?p=berlin-corona-table
210 HTML view: https://plomlompom.com/berlin_corona.html
214 # Output table of enhanced daily infection data, newest on top,
215 # separated into 7-day units.
216 sorted_dates.reverse()
218 sum_district = sorted_districts[-1]
219 for date in sorted_dates:
222 if weekday_count == 0:
223 print(' '*11, ' '.join(sorted_districts[:-1]),
224 sorted_districts[-1], 'wsum', ' wavg', 'winc')
225 week_start_date = date
229 for district in sorted_districts:
230 new_infections += [db[district][date]['new_infections']]
231 week_sum = week_avg = week_inc = ''
232 sum_district_data = db[sum_district][date]
233 if 'week_sum' in sum_district_data:
234 week_sum = '%4s' % sum_district_data['week_sum']
235 if 'week_average' in sum_district_data:
236 week_avg = '%5.1f' % sum_district_data['week_average']
237 if 'week_incidence' in sum_district_data:
238 week_inc = '%4.1f' % sum_district_data['week_incidence']
239 print(date, ' '.join(['%3s' % infections
240 for infections in new_infections]),
241 week_sum, week_avg, week_inc)
243 # Maintain 7-day cycle.
245 if weekday_count != 7:
249 # After each 7 days, print summary for individual districts.
253 for district in sorted_districts[:-1]:
254 weekly_sums += [db[district][week_start_date]['week_sum']]
255 weekly_avgs += [db[district][week_start_date]['week_average']]
256 weekly_incs += [db[district][week_start_date]['week_incidence']]
258 print('district stats for week from %s to %s:' % (date, week_start_date))
259 print(' '*7, ' '.join(sorted_districts[:-1]))
260 print('wsum', ' '.join(['%5.1f' % wsum for wsum in weekly_sums]))
261 print('wavg', ' '.join(['%5.1f' % wavg for wavg in weekly_avgs]))
262 print('winc', ' '.join(['%5.1f' % winc for winc in weekly_incs]))