# 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 itertools
from pathlib import Path
import requests
import shutil
from climind.fetchers.fetcher_utils import filename_from_url
[docs]
def fetch(url: str, out_dir: Path, _) -> None:
"""
Fetch ERSST gridded dataset from NOAA. There is one file per month. Only
files that have not already been downloaded will be downloaded.
Parameters
----------
url: str
URL of the file
out_dir: Path
Path of the directory to which output will be written
Returns
-------
None
"""
for year, month in itertools.product(range(1854, 2024), range(1, 13)):
filled_url = url.replace('*', f'{year}{month:02d}')
filename = filename_from_url(filled_url)
out_path = out_dir / filename
if not out_path.exists():
r = requests.get(filled_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)