312ce078bb
Provide some helper methods to hide the complexity of parsing HTML, JSON, YAML, XML or Markdown.
30 lines
1.6 KiB
Python
30 lines
1.6 KiB
Python
import logging
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from common import dates, endoflife, http, releasedata
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for config in endoflife.list_configs_from_argv():
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with releasedata.ProductData(config.product) as product_data:
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html = http.fetch_html(config.url)
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products_table = html.find("tbody", id="productSupportLifecycle")
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sles_header_rows = products_table.find_all("tr", class_="row", attrs={"data-productfilter": "SUSE Linux Enterprise Server"})
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# Extract rows' IDs to find related sub-rows with details (normally hidden until a user expands a section)
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for detail_id in [f"detail{row['id']}" for row in sles_header_rows]:
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detail_row = products_table.find("tr", id=detail_id)
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# There is a table with info about minor releases and after it, optionally, a table with info about modules
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minor_versions_table = detail_row.find_all("tbody")[0]
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# The first sub-row is a header, the rest contains info about the first release and later minor releases
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for row in minor_versions_table.find_all("tr")[1:]:
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# For each minor release there is an FCS date, general support end date and LTSS end date
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cells = row.find_all("td")
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version = cells[0].text.replace("SUSE Linux Enterprise Server ", '').replace(' SP', '.')
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date_str = cells[1].text
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try:
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date = dates.parse_date(date_str)
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product_data.declare_version(version, date)
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except ValueError:
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logging.info(f"Ignoring {version}: date '{date_str}' could not be parsed")
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