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.
30 lines
1.2 KiB
Python
30 lines
1.2 KiB
Python
import re
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from bs4 import BeautifulSoup
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from common import dates, http, releasedata
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"""Fetches Veeam versions from https://www.veeam.com."""
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with releasedata.ProductData("veeam-backup-and-replication") as product_data:
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response = http.fetch_url("https://www.veeam.com/kb2680")
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soup = BeautifulSoup(response.text, features="html5lib")
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for table in soup.find_all("table"):
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headers = [header.get_text().strip().lower() for header in table.find("tr").find_all("td")]
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if "build number" not in headers or "release date" not in headers:
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continue
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version_index = headers.index("build number")
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date_index = headers.index("release date")
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for row in table.find_all("tr")[1:]:
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cells = row.find_all("td")
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if len(cells) <= max(version_index, date_index):
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continue
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date_str = cells[date_index].get_text().strip()
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if date_str and date_str != "-":
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# whitespaces in version numbers are replaced with dashes
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version = re.sub(r'\s+', "-", cells[version_index].get_text().strip())
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date = dates.parse_date(date_str)
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product_data.declare_version(version, date)
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