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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Collect the iceland_tourism dataset
See the README file for more information.
Author: G.J.J. van den Burg
License: This file is part of TCPD, see the top-level LICENSE file.
Copyright: 2019, The Alan Turing Institute
"""
import argparse
import hashlib
import json
import openpyxl
import os
import sys
import time
from functools import wraps
from urllib.request import urlretrieve
from urllib.error import URLError
XLSX_URL = "https://web.archive.org/web/20191121170223if_/https://www.ferdamalastofa.is/static/files/ferdamalastofa/Frettamyndir/2019/nov/visitors-to-iceland-2002-2019-oct.xlsx"
MD5_XLSX = "ec777afd95b01ca901aa00475fc284e5"
MD5_JSON = "8bbac4ca95319a865f2d58ff564f063d"
NAME_XLSX = "visitors-to-iceland-2002-2019-oct.xlsx"
NAME_JSON = "iceland_tourism.json"
MONTHS = {
"January": 1,
"February": 2,
"March": 3,
"April": 4,
"May": 5,
"June": 6,
"July": 7,
"August": 8,
"September": 9,
"October": 10,
"November": 11,
"December": 12,
}
class ValidationError(Exception):
def __init__(self, filename):
self.message = (
"Validating the file '%s' failed. \n"
"Please raise an issue on the GitHub page for this project \n"
"if the error persists." % filename
)
def check_md5sum(filename, checksum):
with open(filename, "rb") as fp:
data = fp.read()
h = hashlib.md5(data).hexdigest()
return h == checksum
def validate(checksum):
"""Decorator that validates the target file."""
def validate_decorator(func):
@wraps(func)
def wrapper(*args, **kwargs):
target = kwargs.get("target_path", None)
if os.path.exists(target) and check_md5sum(target, checksum):
return
out = func(*args, **kwargs)
if not os.path.exists(target):
raise FileNotFoundError("Target file expected at: %s" % target)
if not check_md5sum(target, checksum):
raise ValidationError(target)
return out
return wrapper
return validate_decorator
@validate(MD5_XLSX)
def download_xlsx(target_path=None):
count = 0
while count < 5:
count += 1
try:
urlretrieve(XLSX_URL, target_path)
return
except URLError as err:
print(
"Error occurred (%r) when trying to download xlsx. Retrying in 5 seconds"
% err,
sys.stderr,
)
time.sleep(5)
def format_ym(year, month):
midx = MONTHS[month]
return "%i-%02d" % (int(year), midx)
@validate(MD5_JSON)
def write_json(xlsx_path, target_path=None):
wb = openpyxl.load_workbook(xlsx_path)
ws = wb.worksheets[2]
rows = list(ws.rows)
# hardcoding these row indices, not worth doing it nicely
header = rows[2]
column_idx = [
i
for i, c in enumerate(header)
if c.data_type == "n" and c.value and 2003 <= c.value < 2020
]
visitors = []
r_offset = 4
for c in column_idx:
for r in range(r_offset, r_offset + 12):
cell = ws.cell(r, c + 1)
if cell.value is None or str(cell.value) == "":
continue
year = header[c].value
month = ws.cell(r, 1).value
datestr = format_ym(year, month)
# eliminate some observations that were not in the original dataset
if datestr in ["2019-08", "2019-09", "2019-10"]:
continue
item = {"time": datestr, "value": int(cell.value)}
visitors.append(item)
name = "iceland_tourism"
longname = "Iceland Tourism"
data = {
"name": name,
"longname": longname,
"n_obs": len(visitors),
"n_dim": 1,
"time": {
"format": "%Y-%m",
"index": list(range(len(visitors))),
"raw": [v["time"] for v in visitors],
},
"series": [
{
"label": "Visitor Number",
"type": "int",
"raw": [v["value"] for v in visitors],
}
],
}
with open(target_path, "w") as fp:
json.dump(data, fp, indent="\t")
def collect(output_dir="."):
xlsx_path = os.path.join(output_dir, NAME_XLSX)
json_path = os.path.join(output_dir, NAME_JSON)
download_xlsx(target_path=xlsx_path)
write_json(xlsx_path, target_path=json_path)
def clean(output_dir="."):
xlsx_path = os.path.join(output_dir, NAME_XLSX)
json_path = os.path.join(output_dir, NAME_JSON)
if os.path.exists(xlsx_path):
os.unlink(xlsx_path)
if os.path.exists(json_path):
os.unlink(json_path)
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"-o", "--output-dir", help="output directory to use", default="."
)
parser.add_argument(
"action",
choices=["collect", "clean"],
help="Action to perform",
default="collect",
nargs="?",
)
return parser.parse_args()
def main(output_dir="."):
args = parse_args()
if args.action == "collect":
collect(output_dir=args.output_dir)
elif args.action == "clean":
clean(output_dir=args.output_dir)
if __name__ == "__main__":
main()
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