# Climate indicator manager - a package for managing and building climate indicator dashboards.
# Copyright (c) 2022 John Kennedy
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import re
from pathlib import Path
import requests
import shutil
from bs4 import BeautifulSoup, SoupStrainer
from climind.fetchers.fetcher_utils import dir_and_filename_from_url, url_from_filename
[docs]
def fetch(url: str, outdir: Path, _) -> None:
"""
Fetch NOAAGlobalTemp data. The script scrapes the directory specified in the URL for a file
that matches the pattern specified in the URL.
Parameters
----------
url: str
URL of the file to be downloaded, containing wildcards for information that needs to be matched
on a case by case basis.
outdir: Path
Path of the directory to which the output will be written
Returns
-------
None
"""
dirname, filename = dir_and_filename_from_url(url)
# get contents of the directory
r = requests.get(dirname)
# compile filename with wildcards into regular expression
pattern = re.compile(filename)
# get all <a> tags from the directory and find the one that matches our reg ex
matched_file = None
for link in BeautifulSoup(r.text, "html.parser", parse_only=SoupStrainer('a')):
if link.has_attr('href'):
if pattern.match(link['href']):
matched_file = link['href']
# make the URL for the file that matches and the output file name to save to
matched_url = url_from_filename(url, matched_file)
out_path = outdir / matched_file
# download the matching file
r = requests.get(matched_url, stream=True, headers={'User-agent': 'Mozilla/5.0'})
if r.status_code == 200:
with open(out_path, 'wb') as f:
r.raw.decode_content = True
shutil.copyfileobj(r.raw, f)