56cc29b49d
This way the writing of the JSON file is handled automatically if the update does not fail. It pave the way to further global improvements, such as a better error handling.
37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
import logging
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import re
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from bs4 import BeautifulSoup
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from common import dates, http, releasedata
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IDENTIFIERS_BY_PRODUCT = {
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"pan-os": "pan-os-panorama",
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"pan-gp": "globalprotect",
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"pan-cortex-xdr": "traps-esm-and-cortex",
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}
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# all products are on the same page, it's faster to fetch it only once
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logging.info("::group::palo-alto-networks")
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response = http.fetch_url("https://www.paloaltonetworks.com/services/support/end-of-life-announcements/end-of-life-summary")
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soup = BeautifulSoup(response.text, features="html5lib")
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logging.info("::endgroup::")
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for product_name, identifier in IDENTIFIERS_BY_PRODUCT.items():
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with releasedata.ProductData(product_name) as product_data:
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table = soup.find(id=identifier)
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for tr in table.findAll("tr")[3:]:
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td_list = tr.findAll("td")
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if len(td_list) <= 1:
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continue
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version = td_list[0].get_text().strip().lower().replace(" ", "-").replace("*", "")
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version = version.removesuffix("-(cortex-xdr-agent)")
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version = version.removesuffix("-(vm-series-only)")
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version = version.removesuffix("-(panorama-only)")
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# A few dates have 1st, 2nd, 4th... Remove it.
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date_str = re.sub(r'(\w+) (\d{1,2})\w{2}, (\d{4})', r'\1 \2, \3', td_list[1].get_text())
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date = dates.parse_date(date_str)
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product_data.declare_version(version, date)
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