#!/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")