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@@ -1,65 +1,8 @@
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"""Downloads all domain data sets from FAOSTAT website."""
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-
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from faostat_data_primap.download import (
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download_all_domains,
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)
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-# def download_all_domains(
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-# domains: list[tuple[str]] = domains,
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-# downloaded_data_path: str = downloaded_data_path,
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-# ) -> list[str]:
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-# """
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-# Download and unpack all climate-related domains from the FAO stat website.
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-#
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-# Extract the date when the data set was last updated and create a directory
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-# with the same name. Download the zip files for each domain if
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-# it does not already exist. Unpack the zip file and save in
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-# the same directory.
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-#
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-# Parameters
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-# ----------
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-# sources
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-# Name of data set, url to domain overview,
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-# and download url
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-#
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-# Returns
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-# -------
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-# List of input files that have been fetched or found locally.
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-#
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-# """
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-# downloaded_files = []
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-# for ds_name, urls in domains.items():
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-# url = urls["url_domain"]
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-# url_download = urls["url_download"]
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-# url_methodology = urls["url_methodology"]
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-#
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-# soup = get_html_content(url)
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-#
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-# last_updated = get_last_updated_date(soup, url)
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-#
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-# if not downloaded_data_path.exists():
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-# downloaded_data_path.mkdir()
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-#
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-# ds_path = downloaded_data_path / ds_name
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-# if not ds_path.exists():
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-# ds_path.mkdir()
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-#
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-# local_data_dir = ds_path / last_updated
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-# if not local_data_dir.exists():
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-# local_data_dir.mkdir()
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-#
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-# download_methodology(save_path=local_data_dir, url_download=url_methodology)
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-#
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-# local_filename = local_data_dir / f"{ds_name}.zip"
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-#
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-# download_file(url_download=url_download, save_path=local_filename)
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-#
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-# downloaded_files.append(str(local_filename))
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-#
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-# unzip_file(local_filename)
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-#
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-# return downloaded_files
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-
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if __name__ == "__main__":
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download_all_domains()
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