46 lines
1.4 KiB
Python
Executable File
46 lines
1.4 KiB
Python
Executable File
import caldav
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from datetime import datetime
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import vobject
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import yaml
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server_url = "https://***REMOVED***
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cal_user = "tobias"
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cal_url = "https://***REMOVED***
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cal_category = "Lesung/Veranstaltung"
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metadata_keys = ["summary", "dtstart", "dtend", "description", "location"]
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result_file = "../content/pages/termine.md"
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# get passwort
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with open(".caldav_pass", "r") as f:
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cal_pass = f.read().strip()
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# create vobject calendar
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vcal = vobject.newFromBehavior("vcalendar")
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# establish connection to caldav server
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with caldav.DAVClient(url=server_url, username=cal_user, password=cal_pass) as dav_client:
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# establish connection to calendar
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dav_cal = dav_client.calendar(url=cal_url)
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# put all events from caldav calendar into vobject calendar
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for e in dav_cal.events():
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for ev in e.instance.contents["vevent"]:
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vcal.add(ev)
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# we only want events belonging to a specific category
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events = [e for e in vcal.getChildren() if "categories" in e.contents.keys() and cal_category in map(lambda x: x.value[0], e.contents["categories"])]
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# convert events into a structure that Pelican can use
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events = [{k: v[0].value for k, v in e.contents.items() if k in metadata_keys} for e in events]
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# keep only future events
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today = datetime.today().date()
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events = [e for e in events if e["dtstart"].date() >= today]
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# write data as YAML
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with open(result_file, 'w') as f:
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f.write("---\n")
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yaml.dump({"termine": events}, f)
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f.write("---\n")
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