aboutsummaryrefslogtreecommitdiffstats
path: root/scripts/nb.py
blob: c3bbe40bc532df6dce972906e64c5838fa3b459d (plain) (blame)
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
66
67
68
#!/usr/bin/env python3
''' Get exchange rates from nb '''

import os
import sys
import csv
import tempfile
from datetime import datetime
from datetime import timedelta
from tzlocal import get_localzone
import requests

import common

# I'm not sure I understand Norges Banks json-model. It seems a lot easier to just get the CSV, and convert it to JSON.
apiUrl = "https://data.norges-bank.no/api/data/EXR/B.EUR.NOK.SP?format=csv&locale=en"

pg_db = os.environ['el_pg_db']
pg_host = os.environ['el_pg_host']
pg_table = "nbex"

startTime = datetime.now(get_localzone()) - timedelta(days = 10)
startTime = startTime.strftime('%Y-%m-%d')
#startTime = '2023-05-23' # <- edit for manual starttime. Like when filling in missing info.

endTime = datetime.now(get_localzone()).strftime('%Y-%m-%d')

temp = tempfile.NamedTemporaryFile()

### Get the data
try:
    url = apiUrl + "&startPeriod=" + startTime + "&endPeriod=" + endTime

    response = requests.get(url, timeout=10)
    if response.status_code != 200:
        print(response.status_code)
        print("Oh shit")
        response.raise_for_status()

    with open(temp.name,'w', encoding="utf-8") as fd:
        fd.write(response.text)

except requests.exceptions.RequestException as e:
    print("oh lol")
    sys.exit(e)


### insert data into database

values = []
with open(temp.name, encoding="utf-8") as csvfile:
    csvReader = csv.DictReader(csvfile, delimiter=';')

    for item in csvReader:
        values.append((
            item["TIME_PERIOD"],
            item["BASE_CUR"],
            item["QUOTE_CUR"],
            item["OBS_VALUE"]))

temp.close()

# SQL
sql =  """INSERT INTO nbex
          VALUES(%s, %s, %s, %s)
          ON CONFLICT (startdate,base_cur,quote_cur) DO NOTHING"""

common.dbi(sql, values, verbose=True)