/
scraper.py
137 lines (120 loc) · 3.36 KB
/
scraper.py
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# -*- coding: utf-8 -*-
import requests
from bs4 import BeautifulSoup
import sqlite3
import re
import json
import dateparser
import traceback
import os
DATABASE_NAME = 'data.sqlite'
conn = sqlite3.connect(DATABASE_NAME)
c = conn.cursor()
c.execute(
'''
CREATE TABLE IF NOT EXISTS data (
date text,
area text,
tested integer,
tested_pos integer,
confirmed integer,
time text,
deceased integer,
hospitalized integer,
recovered integer,
source text,
UNIQUE(date, time)
)
'''
)
conn.commit()
def parse_page(soup, conn):
data = {
'date': None,
'area': 'Canton_BE',
'tested': None,
'tested_pos': None,
'confirmed': None,
'time': '',
'deceased': None,
'hospitalized': None,
'recovered': None,
'source': 'https://www.besondere-lage.sites.be.ch/besondere-lage_sites/de/index/corona/index.html',
}
# parse number of confirmed cases and deceased
table = soup.find("h2", string=re.compile(".*Corona.*(e|E)rkrankungen.*Kanton.*Bern")).parent.find("table")
mapping = {
u'F\xe4lle': 'confirmed',
u'Todesf\xe4lle': 'deceased',
}
header = table.find_all('th')
cells = table.find_all('td')
assert len(header) == 2, "The number of headers changed"
assert len(cells) == 2, "The number of cells changed"
for i, value in enumerate(header):
data[mapping[value.string]] = int(cells[i].string)
# parse the date
date_str = re.search(": (.*)\)", soup.find(string=re.compile(".*Stand:.*")).string).group(1)
update_datetime = dateparser.parse(
date_str,
languages=['de']
)
data['date'] = update_datetime.date().isoformat()
c = conn.cursor()
try:
c.execute(
'''
INSERT INTO data (
date,
time,
area,
tested,
tested_pos,
confirmed,
deceased,
hospitalized,
recovered,
source
)
VALUES
(?,?,?,?,?,?,?,?,?,?)
''',
[
data['date'],
data['time'],
data['area'],
data['tested'],
data['tested_pos'],
data['confirmed'],
data['deceased'],
data['hospitalized'],
data['recovered'],
data['source'],
]
)
except sqlite3.IntegrityError:
print("Error: Data for this date + time has already been added")
finally:
conn.commit()
# canton bern - start url
start_url = 'https://www.be.ch/corona'
# get page with data on it
page = requests.get(start_url)
soup = BeautifulSoup(page.content, 'html.parser')
try:
parse_page(soup, conn)
except Exception as e:
print("Error: %s" % e)
print(traceback.format_exc())
raise
finally:
conn.close()
# trigger GitHub Action API
gh_user = os.environ['MORPH_GH_USER']
gh_token = os.environ['MORPH_GH_TOKEN']
gh_repo = os.environ['MORPH_GH_REPO']
url = 'https://api.github.com/repos/%s/dispatches' % gh_repo
payload = {"event_type": "update"}
headers = {'content-type': 'application/json'}
r = requests.post(url, data=json.dumps(payload), headers=headers)
print(r)