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 '+': 'new infections counted that day',
36 'Σ': 'sum of new infections for last 7 days',
37 'Ø': 'per-day average of new infections for last 7 days',
38 'i': 'incidence (x per 100k inhabitants) of new infections for last 7 days',
41 # Read infections table path and output type.
43 if len(sys.argv) != 3:
44 print('Expecting infections table file path and output type as only arguments.')
46 infections_table = sys.argv[1]
47 output_type = sys.argv[2]
49 # Read infections table file lines.
50 f = open(infections_table, 'r')
54 # Basic input validation.
56 header_elements = lines[0].split()
57 if set(header_elements) != district_pops.keys() or \
58 len(header_elements) != len(district_pops.keys()):
59 raise Exception('infections table: invalid header')
61 for line in lines[1:]:
64 if len(header_elements) != len(fields) - 1:
65 raise Exception('infections table: too many elements on line %s',
68 datetime.date.fromisoformat(fields[0])
70 raise Exception('infections table: bad ISO date on line %s',
72 for field in fields[1:]:
76 raise Exception('infections table: bad value on line %s',
79 # Parse first table file line for the names and order of districts.
82 for header in lines[0].split():
83 sorted_districts += [header]
86 # Seed DB with daily new infections data per district, per date.
88 for line in lines[1:]:
91 sorted_dates += [date]
92 for i in range(len(sorted_districts)):
93 district = sorted_districts[i]
94 district_data = fields[i + 1]
95 db[district][date] = {'new_infections': int(district_data)}
98 # In LaGeSo's data, the last "district" is actually the sum of all districts /
99 # the whole of Berlin. For our district order, move it in front of the other
100 # districts, as its numbers are the most interesting, so in the table views
101 # we want to see it first.
102 sum_district = sorted_districts.pop()
103 sorted_districts.insert(0, sum_district)
105 # Fail on any day where the "sum" district's new infections are not the proper
106 # sum of the individual districts new infections. Yes, sometimes Lageso sends
107 # data that is troubled in this way. It will then have to be fixed manually in
108 # the table file, since we should have a human look at what mistake was
110 for date in sorted_dates:
112 for district in [d for d in sorted_districts if not d==sum_district]:
113 day_sum += db[district][date]['new_infections']
114 if day_sum != db[sum_district][date]['new_infections']:
115 raise Exception('Questionable district infection sum in %s' % date)
117 # Enhance DB with data about weekly sums, averages, incidences per day. Ignore
118 # days that have less than 6 predecessors (we can only know a weekly average if
119 # we have a whole week of data).
120 for i in range(len(sorted_dates)):
123 date = sorted_dates[i]
126 week_dates += [sorted_dates[i - j]]
127 for district in sorted_districts:
128 district_pop = district_pops[district]
130 for week_date in week_dates:
131 week_sum += db[district][week_date]['new_infections']
132 db[district][date]['week_sum'] = week_sum
133 db[district][date]['week_average'] = week_sum / 7
134 db[district][date]['week_incidence'] = (week_sum / district_pop) * 100000
136 # Optimized for web browser viewing.
138 if output_type == 'html':
139 print("""<!DOCTYPE html>
143 th { text-align: left; vertical-align: bottom; }
144 .vertical_header { writing-mode: vertical-rl; transform: rotate(180deg); font-weight: normal; }
145 .repeated_head th { padding-top: 0.5em; border-bottom: 1px solid black; }
146 .bold { font-weight: bold }
148 <title>Berlin's Corona infection numbers, development by districts</title>
150 <a href="/">home</a> · <a href="/contact.html">contact</a> · <a href="/privacy.html">privacy</a>
151 <h1>Berlin's Corona infection numbers, development by districts</h1>
152 <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">Plain text view (optimized for terminal curl)</a>.</p>
155 <th colspan=2></th>""")
156 sorted_dates.reverse()
157 for district in sorted_districts:
158 # Wrap in div because the vertical orientation otherwise fails
160 print('<th><div class="vertical_header">%s</div></th>' %
164 for date in sorted_dates:
165 if weekday_count == 0:
166 print('<tr class="repeated_head">')
167 print('<th>date</th>')
168 print('<th><a href="#symbols">?</a></th>')
169 for district in sorted_districts:
170 print('<th><abbr title="%s">%s</abbr></th>' %
171 (translate[district], district))
173 print('<tr class="day_row">')
174 weekday = calendar.day_name[datetime.date.fromisoformat(date).weekday()]
175 print('<td>%s<br />%s</td>' % (date, weekday))
177 for abbr in ['+', 'Σ', 'Ø', 'i']:
178 print('<tr><th><abbr title="%s">%s</abbr></th></tr>' %
179 (translate[abbr], abbr))
180 print('</table></td>')
181 for district in sorted_districts:
182 district_data = db[district][date]
183 week_sum = week_avg = week_inc = '?'
184 new_infections = district_data['new_infections']
185 if 'week_sum' in district_data:
186 week_sum = '%s' % district_data['week_sum']
187 if 'week_average' in district_data:
188 week_avg = '%.1f' % district_data['week_average']
189 if 'week_incidence' in district_data:
190 week_inc = '%.1f' % district_data['week_incidence']
193 print('<tr><td class="bold">%s</td></tr>' % new_infections)
194 print('<tr><td>%s</td></tr>' % week_sum)
195 print('<tr><td>%s</td></tr>' % week_avg)
196 print('<tr><td>%s</td></tr>' % week_inc)
201 if weekday_count != 7:
205 print('<h3 id="symbols">Symbols</h3>')
207 for abbr in ['+', 'Σ', 'Ø', 'i']:
208 print('<dt>%s</dt><dd>%s</dd>' % (abbr, translate[abbr]))
212 # Optimized for in-terminal curl.
213 elif output_type == 'txt':
215 # Explain what this is.
217 """Table of Berlin's Corona infection number development by districts.
218 Updated daily at 9pm based on data from the "Senatsverwaltung für Gesundheit, Pflege und Gleichstellung".
220 Abbrevations/explanations:
223 intro += "%s: %s\n" % (k, translate[k])
225 Source code: https://plomlompom.com/repos/?p=berlin-corona-table
226 HTML view: https://plomlompom.com/berlin_corona.html"""
229 # Output table of enhanced daily infection data, newest on top,
230 # separated into 7-day units.
231 sorted_dates.reverse()
233 for date in sorted_dates:
236 if weekday_count == 0:
238 print(' '*13, ' '.join(sorted_districts))
242 weekday = calendar.day_name[datetime.date.fromisoformat(date).weekday()]
243 print('%s (%s)' % (date, weekday))
248 for district in sorted_districts:
249 district_day_data = db[district][date]
250 new_infections += [district_day_data['new_infections']]
251 if 'week_sum' in district_day_data:
252 weekly_sums += [district_day_data['week_sum']]
253 if 'week_average' in district_day_data:
254 weekly_avgs += [district_day_data['week_average']]
255 if 'week_incidence' in district_day_data:
256 weekly_incs += [district_day_data['week_incidence']]
257 print('+', ' '*11, ' '.join(['%3s' % i for i in new_infections]))
258 print('Σ', ' '*10, ' '.join(['%4s' % wsum for wsum in weekly_sums]))
259 print('Ø', ' '*9, ''.join(['%5.1f' % wavg for wavg in weekly_avgs]))
260 print('i', ' '*9, ''.join(['%5.1f' % winc for winc in weekly_incs]))
262 if weekday_count != 7: