forked from russss/covidtracker
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathnhs_app.py
65 lines (58 loc) · 2.02 KB
/
nhs_app.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
import pandas as pd
import requests
import sqlite3
import tempfile
from datetime import datetime, timezone
URL = "https://files.russss.dev/nhs_covid19_app_data.db"
class NHSAppData:
def __init__(self):
self.dbfile = tempfile.NamedTemporaryFile()
res = requests.get(URL)
res.raise_for_status()
self.dbfile.write(res.content)
self.conn = sqlite3.connect(self.dbfile.name)
self.cur = self.conn.cursor()
def __del__(self):
self.conn.close()
self.dbfile.close()
def exposures(self):
self.cur.execute(
"SELECT export_date, rolling_start_interval_number * 600, rolling_period,"
" transmission_risk_level, report_type, days_since_onset_of_symptoms FROM"
" exposure_keys"
)
data = pd.DataFrame(
[
[
datetime.fromtimestamp(row[0], timezone.utc),
datetime.fromtimestamp(row[1], timezone.utc),
row[2],
row[3],
row[4],
row[5],
]
for row in self.cur.fetchall()
],
columns=[
"export_date",
"interval_start",
"interval_period",
"transmission_risk_level",
"report_type",
"days_since_onset_of_symptoms",
],
)
return data
def risky_venues(self):
self.cur.execute(
"""SELECT export_date, id, risky_from, risky_until, message_type
FROM risky_venues"""
)
data = pd.DataFrame(
self.cur.fetchall(),
columns=["export_date", "id", "risky_from", "risky_until", "message_type"],
)
data['export_date'] = pd.to_datetime(data['export_date'], unit='s')
data['risky_from'] = pd.to_datetime(data['risky_from'], unit='s')
data['risky_until'] = pd.to_datetime(data['risky_until'], unit='s')
return data