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# DHBW-RaPla-Vorratsdatenspeicherung
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Dieses Projekt dient dazu, den Vorlesungsplan von TINF19B4 zu vorratsdatenspeichern.
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Dazu wird das Script stündlich automatisiert aufgerufen und speichert jede Änderung an Vorlesungen
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in SQL ab. Dadurch können auch Details von Events, die bereits aus RaPla gelöscht wurden, abgerufen werden und
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zusätzlich haben wir eine Übersicht über alle Änderungen.
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import pymysql
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import os
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import logging
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def getConnection() -> pymysql.Connection:
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"""
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Get a connection to SQL.
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This function is used on the vServer for local testing
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@return: pymysql connection object
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"""
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try:
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if os.environ['IS_VSERVER'] == 'true':
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conn = pymysql.connect(
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user=os.environ['vServer_SQL_User'],
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password=os.environ['vServer_SQL_Password'],
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host='localhost',
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port=3306,
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database='DHBW-RaPla-Vorratsdatenspeicherung'
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)
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else:
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conn = pymysql.connect(
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user=os.environ['PADDY_SQL_USER'],
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password=os.environ['PADDY_SQL_PASSWORD'],
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host=os.environ['SQL_SERVER'],
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port=3306,
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database='DHBW-RaPla-Vorratsdatenspeicherung'
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)
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return conn
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except pymysql.Error as e:
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logging.error('SQL Connection error: %s', e)
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return None
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from collections import ChainMap
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from icalevents import icalevents
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import sys
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from httplib2 import Http
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from datetime import datetime, timedelta
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import SQLConnectionHandler
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def crawl():
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if sys.platform == 'win32':
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http = Http(disable_ssl_certificate_validation=True)
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else:
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http = Http()
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# ______ __ __
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# / ____/__ / /_ ____ ___ _ __ ___ _ _____ ____ / /______
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# / / __/ _ \/ __/ / __ \/ _ \ | /| / / / _ \ | / / _ \/ __ \/ __/ ___/
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# / /_/ / __/ /_ / / / / __/ |/ |/ / / __/ |/ / __/ / / / /_(__ )
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# \____/\___/\__/ /_/ /_/\___/|__/|__/ \___/|___/\___/_/ /_/\__/____/
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# Get events in the next year from RaPla
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events = icalevents.events(url='https://rapla.dhbw-karlsruhe.de/rapla?page=ical&user=eisenbiegler&file=TINF19B4',
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http=http, start=datetime.strptime('2010-01-01', '%Y-%m-%d'),
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end=datetime.now() + timedelta(days=365))
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# ______ __ __ __ __ __ __ ____ _____ ____ __
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# / ____/__ / /_ / /___ _/ /____ _____/ /_ ____/ /___ _/ /_____ _ / __/________ ____ ___ / ___// __ \ / /
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# / / __/ _ \/ __/ / / __ `/ __/ _ \/ ___/ __/ / __ / __ `/ __/ __ `/ / /_/ ___/ __ \/ __ `__ \ \__ \/ / / / / /
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# / /_/ / __/ /_ / / /_/ / /_/ __(__ ) /_ / /_/ / /_/ / /_/ /_/ / / __/ / / /_/ / / / / / / ___/ / /_/ / / /___
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# \____/\___/\__/ /_/\__,_/\__/\___/____/\__/ \__,_/\__,_/\__/\__,_/ /_/ /_/ \____/_/ /_/ /_/ /____/\___\_\/_____/
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# Select existing event UIDs from RaPla
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conn = SQLConnectionHandler.getConnection()
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cur = conn.cursor()
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cur.execute("SELECT uid FROM rapla_entries")
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uids = cur.fetchall()
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uids = list(x[0] for x in uids) # Otherwise, uids would be a list of tuples
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cur.execute("""
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WITH summary AS (
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SELECT ch.*,
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ROW_NUMBER() OVER(PARTITION BY ch.entry_id
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ORDER BY ch.change_id DESC) AS rk
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FROM rapla_changes ch)
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SELECT s.*, entr.uid
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FROM summary s
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LEFT OUTER JOIN rapla_entries entr ON s.entry_id = entr.entry_id
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WHERE s.rk = 1;
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""")
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changes = cur.fetchall()
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# ____ __ __
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# / __ \________ ____ ____ _________ ____/ /___ _/ /_____ _
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# / /_/ / ___/ _ \/ __ \/ __ `/ ___/ _ \ / __ / __ `/ __/ __ `/
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# / ____/ / / __/ /_/ / /_/ / / / __/ / /_/ / /_/ / /_/ /_/ /
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# /_/ /_/ \___/ .___/\__,_/_/ \___/ \__,_/\__,_/\__/\__,_/
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# /_/
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# The following function simply creates a dict with the event uid as key and all other info as value from the tuples
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# Say we have the list of tuples [(1, 'abc'), (2, 'def')] where abc and def are the uids. The the function would generate
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# a dict in the form of {'abc': (1, 'abc'), 'def': (1, 'def')}
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# The map function basically returns a list of small dicts and the ChainMap combines them to one big dict
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changeDict = dict(ChainMap(*map(lambda x: {x[15]: x}, changes)))
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# Change booleans back to boolean values as they come from SQL as integers
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for change in changeDict:
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workingList = list(changeDict[change])
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workingList[13] = changeDict[change][13] == 1
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workingList[3] = changeDict[change][3] == 1
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changeDict[change] = tuple(workingList)
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newEvents = []
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updatedEvents = []
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# Append number of recurring event to UID so we can tell them apart
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# Also removes the timezone from all the datetime objects
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evtIdx = {}
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for event in events:
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if not event.uid in evtIdx.keys():
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# Event not known yet
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uid = event.uid
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event.uid = uid + '---0'
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evtIdx[uid] = 1
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else:
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uid = event.uid
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event.uid = uid + '---' + str(evtIdx[uid])
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evtIdx[uid] += 1
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# Remove timezones
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event.start = removeTimezone(event.start)
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event.end = removeTimezone(event.end)
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event.last_modified = removeTimezone(event.last_modified)
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event.created = removeTimezone(event.created)
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# ________ __ ____ __
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# / ____/ /_ ___ _____/ /__ / __/___ _____ _____/ /_ ____ _____ ____ ____ _____
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# / / / __ \/ _ \/ ___/ //_/ / /_/ __ \/ ___/ / ___/ __ \/ __ `/ __ \/ __ `/ _ \/ ___/
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# / /___/ / / / __/ /__/ ,< / __/ /_/ / / / /__/ / / / /_/ / / / / /_/ / __(__ )
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# \____/_/ /_/\___/\___/_/|_| /_/ \____/_/ \___/_/ /_/\__,_/_/ /_/\__, /\___/____/
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# /____/
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for event in events:
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if not event.uid in uids:
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# New event, create event entry and new changeset
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if not event.uid in list(x.get('uid') for x in newEvents):
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# Only add to list if this event is not in the list yet (can happen in case of recurring events)
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evt = {
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# TODO add checks for existing values
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"uid": event.uid,
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"isDeleted": False,
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"new_summary": event.summary,
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"new_description": event.description,
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"new_start": event.start,
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"new_end": event.end,
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"new_last_modified": event.last_modified,
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"new_created": event.created,
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"new_location": event.location,
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"new_organizer": event.organizer,
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"new_categories": event.categories[0] if event.categories else '',
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"new_recurring": event.recurring
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}
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newEvents.append(evt)
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else:
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# Event is known, create new changeset
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hasChanges = False
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latestKnownState = changeDict.get(event.uid)
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changeSet = latestKnownState[4:14] # Relevant subset of latest know state data
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newEventTuple = tuple(
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[event.summary, event.description, event.start, event.end, event.last_modified, event.created,
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event.location, event.organizer, (event.categories[0] if event.categories else ''), event.recurring,
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event.uid])
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# Check every value by looping over both the old and new tuples
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for dataIndex in range(0, 10):
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if newEventTuple[dataIndex] != changeSet[dataIndex]:
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hasChanges = True
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if hasChanges:
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updatedEvents.append(newEventTuple)
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# Now also check for deleted events
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deletedEvents = []
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for uid in uids:
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# We have to check for every known uid if it still exists
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# The following condition my be a bit overwhelming but it basically checks three things:
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# 1. Is the uid in SQL but not in the list of fetched events? -> Has been deleted from RaPla?
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# 2. If there is already a changeset for this event, is the latest known state that it is not deleted?
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# 3. If there is no changeset for it yet, we can't check the latest known state so we just set it to deleted
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# -> this basically can't ever happen with real data but it happened during testing and it doesn't hurt to let in in here
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if uid not in list(x.uid for x in events) and (uid in changeDict.keys() and not changeDict[uid][3] or uid not in changeDict.keys()):
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# Only insert if there is no 'deleted' record yet
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deletedEvents.append(tuple([uid]))
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# _ __ _ __ __ __ __ _____ ____ __
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# | | / /____(_) /____ / /_ ____ ______/ /__ / /_____ / ___// __ \ / /
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# | | /| / / ___/ / __/ _ \ / __ \/ __ `/ ___/ //_/ / __/ __ \ \__ \/ / / / / /
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# | |/ |/ / / / / /_/ __/ / /_/ / /_/ / /__/ ,< / /_/ /_/ / ___/ / /_/ / / /___
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# __/|__/_/ /_/\__/\___/ /_.___/\__,_/\___/_/|_| \__/\____/ /____/\___\_\/_____/
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# Insert new events into rapla_entries table
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if newEvents:
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# Insert new events if there are any
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cur.executemany("INSERT INTO rapla_entries (uid, initialSummary) VALUES (%s, %s)",
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list((x.get('uid'), x.get('new_summary')) for x in newEvents))
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conn.commit()
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changeData = list(
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(x.get('isDeleted'), x.get('new_summary'), x.get('new_description'), x.get('new_start'), x.get('new_end'),
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x.get('new_last_modified'),
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x.get('new_created'), x.get('new_location'), x.get('new_organizer'), x.get('new_categories'),
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x.get('new_recurring'), x.get('uid')
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) for x in newEvents)
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changeQuery = """
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INSERT INTO rapla_changes
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(isDeleted, new_summary, new_description, new_start, new_end, new_last_modified, new_created, new_location, new_organizer, new_categories, new_recurring, entry_id)
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, (SELECT entry_id FROM rapla_entries WHERE uid = %s))
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"""
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cur.executemany(changeQuery, changeData)
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conn.commit()
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if updatedEvents:
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# Insert changes to existing events if there are any
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changeQuery = """
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INSERT INTO rapla_changes
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(isDeleted, new_summary, new_description, new_start, new_end, new_last_modified, new_created, new_location, new_organizer, new_categories, new_recurring, entry_id)
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VALUES (False, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, (SELECT entry_id FROM rapla_entries WHERE uid = %s))
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"""
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cur.executemany(changeQuery, updatedEvents)
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conn.commit()
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if deletedEvents:
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cur.executemany(
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"INSERT INTO rapla_changes (entry_id, isDeleted) VALUES ((SELECT entry_id FROM rapla_entries WHERE uid = %s), 1)",
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deletedEvents)
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conn.commit()
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cur.close()
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conn.close()
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def removeTimezone(date: datetime) -> datetime:
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"""
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Removes the timezone part of a datetime object
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:param date: The datetime object to adjust
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:return: The adjusted object
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"""
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return datetime.strptime(date.strftime('%Y-%m-%d %H:%M:%S'), '%Y-%m-%d %H:%M:%S')
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if __name__ == "__main__":
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crawl()
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@ -0,0 +1,2 @@
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pymysql
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git+git://github.com/irgangla/icalevents@master#egg=icalevents
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