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#!/bin/python3
import os
import sys
import csv
import json
import psycopg2
import requests
import tempfile
from datetime import datetime
from datetime import timedelta
from tzlocal import get_localzone
# 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')
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)
if response.status_code != 200:
print(response.status_code)
print("Oh shit")
response.raise_for_status()
with open(temp.name,'w') as fd:
fd.write(response.text)
except Exception as e:
print("oh lol")
sys.exit(e)
### insert data into database
values = []
with open(temp.name) 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()
# connect to database
conn = psycopg2.connect(database=pg_db, host=pg_host)
cur = conn.cursor()
# count rows before we start
cur.execute("SELECT COUNT(*) FROM " + pg_table)
before = cur.fetchone()
# insert data
try:
cur.executemany("INSERT INTO " + pg_table + " VALUES(%s,%s,%s,%s) ON CONFLICT (startdate,base_cur,quote_cur) DO NOTHING", values)
conn.commit()
except Exception as e:
conn.rollback()
raise e
# count rows after we finnish
cur.execute("SELECT COUNT(*) FROM " + pg_table)
after = cur.fetchone()
# count *new* rows
newRows = after[0] - before[0]
# close connection
conn.close()
print("Successfully inserted " + str(newRows) + " records into the database")
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