continue
# hospitalization data
data = sc.find(
r'<pre id="data_1".*?> ?Datum,"Normale Station","Intensivstation \(nicht beatmet\)","Intensivstation \(beatmet\)"\s*([^<]+)</pre>',
d)
if data:
for row in data.split(" "):
c = row.split(',')
if len(c) == 4:
key, row_date = get_row_date(c[0])
rows[key]['date'] = row_date
if c[1] or c[2] or c[3]:
rows[key]['hospitalized'] = int(
float(c[1] or 0) + float(c[2] or 0) + float(c[3] or 0))
rows[key]['icu'] = (sc.safeint(c[2] or 0) +
sc.safeint(c[3] or 0))
rows[key]['vent'] = c[3]
continue
# contact tracing data
data = sc.find(
r'<pre id="data_1".*?> ?Datum,"Personen in Isolation","Personen in Quarantäne \(Tracing\)","Personen in Quarantäne \(Rückreise Risikoländer\)"\s*([^<]+)</pre>',
d)
if data:
for row in data.split(" "):
c = row.split(',')
if len(c) == 4:
key, row_date = get_row_date(c[0])
rows[key]['date'] = row_date
rows[key]['isolated'] = sc.safeint(c[1] or 0)
d_csv = sc.download(
'https://data.bs.ch/explore/dataset/100073/download/?format=csv&timezone=Europe/Zurich&lang=en&use_labels_for_header=false&csv_separator=,',
silent=True)
reader = csv.DictReader(StringIO(d_csv), delimiter=',')
is_first = True
for row in reader:
if not row['ncumul_conf']:
continue
if not is_first:
print('-' * 10)
is_first = False
dd = sc.DayData(canton='BS', url=row['source'])
dd.datetime = f"{row['date']} {row['time']}"
dd.cases = sc.safeint(row['ncumul_conf'])
dd.new_hosp = row['new_hosp']
dd.hospitalized = row['current_hosp']
dd.icu = row['current_icu']
dd.vent = row['current_vent']
dd.recovered = row['ncumul_released']
dd.deaths = row['ncumul_deceased']
dd.isolated = row['current_isolated']
dd.quarantined = row['current_quarantined']
dd.confirmed_non_resident = row['ncumul_confirmed_non_resident']
dd.hosp_non_resident = row['current_hosp_non_resident']
dd.quarantine_riskareatravel = row['current_quarantined_riskareatravel']
dd.quarantine_total = row['current_quarantined_total']
dd.hosp_resident = row['current_hosp_resident']
print(dd)
float(c[3] or 0))
rows[key]['icu'] = int(
float(c[2] or 0) + float(c[3] or 0))
rows[key]['vent'] = c[3]
# order dict by key to ensure the most recent entry is last
ordered_rows = OrderedDict(sorted(rows.items()))
is_first = True
for row_date, row in ordered_rows.items():
if not is_first:
print('-' * 10)
is_first = False
dd = sc.DayData(canton='BL', url=main_url)
dd.datetime = row['date']
dd.cases = sc.safeint(row['cases'])
try:
dd.hospitalized = sc.safeint(row['hospitalized'])
except KeyError:
pass
try:
dd.icu = sc.safeint(row['icu'])
except KeyError:
pass
try:
dd.vent = sc.safeint(row['vent'])
except KeyError:
pass
dd.deaths = sc.safeint(row['deaths'])
dd.recovered = sc.safeint(row['recovered'])
print(dd)
"""
d = d.replace('\n', ' ')
# district data!
data = sc.find(
r'<pre id="data_1".*?> ?Datum,"Bezirk Arlesheim","Bezirk Laufen","Bezirk Liestal","Bezirk Sissach","Bezirk Waldenburg"\s*([^<]+)</pre>',
d)
if data:
# take "Fallzahlen Bezirke BL ab Juni 2020", but not the 14d averaged one
for row in data.split(" "):
c = row.split(',')
assert len(c) == 6, f"Number of fields changed, {len(c)} != 6"
row_date = parse_row_date(c[0])
rows[row_date]['date'] = row_date
rows[row_date]['Arlesheim'] = sc.safeint(c[1])
rows[row_date]['Laufen'] = sc.safeint(c[2])
rows[row_date]['Liestal'] = sc.safeint(c[3])
rows[row_date]['Sissach'] = sc.safeint(c[4])
rows[row_date]['Waldenburg'] = sc.safeint(c[5])
break
assert rows, "Couldn't find district data in iframes"
# https://www.bfs.admin.ch/bfs/de/home/statistiken/kataloge-datenbanken/karten.assetdetail.5688189.html
district_ids = {
'Arlesheim': 1301,
'Laufen': 1302,
'Liestal': 1303,
'Sissach': 1304,
'Waldenburg': 1305,
