Datasets Utils

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download_file

 download_file (directory:str, source_url:str, decompress:bool=False)

Download data from source_ulr inside directory.

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extract_file

 extract_file (filepath, directory)

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async_download_files

 async_download_files (path:Union[str,pathlib.Path], urls:Iterable[str])

import os
import tempfile

import requests

gh_url = 'https://api.github.com/repos/Nixtla/datasetsforecast/contents/'
base_url = 'https://raw.githubusercontent.com/Nixtla/datasetsforecast/main'

headers = {}
gh_token = os.getenv('GITHUB_TOKEN')
if gh_token is not None:
    headers = {'Authorization': f'Bearer: {gh_token}'}
resp = requests.get(gh_url, headers=headers)
if resp.status_code != 200:
    raise Exception(resp.text)
urls = [f'{base_url}/{e["path"]}' for e in resp.json() if e['type'] == 'file']
with tempfile.TemporaryDirectory() as tmp:
    tmp = Path(tmp)
    await async_download_files(tmp, urls)
    files = list(tmp.iterdir())
    assert len(files) == len(urls)

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download_files

 download_files (directory:Union[str,pathlib.Path], urls:Iterable[str])

with tempfile.TemporaryDirectory() as tmp:
    tmp = Path(tmp)
    fname = tmp / 'script.py'
    fname.write_text(f"""
from datasetsforecast.utils import download_files
    
download_files('{tmp.as_posix()}', {urls})
    """)
    !python {fname}
    fname.unlink()
    files = list(tmp.iterdir())
    assert len(files) == len(urls)

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Info

 Info (class_groups:Tuple[dataclass])

Info Dataclass of datasets. Args: groups (Tuple): Tuple of str groups class_groups (Tuple): Tuple of dataclasses.