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MakeOneAttendeePerRowEvents.py
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MakeOneAttendeePerRowEvents.py
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#!/usr/bin/env python3
"""
# Purpose: Convert output from print events to put one attendee per row; you can filter for specific attendees.
# Note: This script can use GAM7 or Advanced GAM:
# https://github.com/GAM-team/GAM
# https://github.com/taers232c/GAMADV-XTD3
# Customize: Set ATTENDEE_LIST, DOMAIN_LIST, ATTENDEE_PATTERN, DROP_GENERAL_COLUMNS, DROP_ATTENDEE_COLUMNS.
# Python: Use python or python3 below as appropriate to your system; verify that you have version 3
# $ python -V or python3 -V
# Python 3.x.y
# Usage:
# 1: Produce a CSV file AllEvents.csv of calendar events
# 2: You need a list of calendars.
# See: https://github.com/taers232c/GAMADV-XTD3/wiki/Users-Calendars#display-calendar-lists
# For example, to get all user's owned calendars
# $ gam config auto_batch_min 1 redirect csv ./AllCalendars.csv multiprocess all users print calendars minaccessrole owner
# For example, to get all user's primary calendar
# $ gam config auto_batch_min 1 redirect csv ./AllCalendars.csv multiprocess all users print calendars primary
# 3: From that calendar list, you need a list of events that contain the attendees you wish to delete
# See: https://github.com/taers232c/GAMADV-XTD3/wiki/Users-Calendars-Events#display-calendar-events
# For example, to get events with any attendees from the domain bar.com
# The example uses "starttime now" to select future events only; eliminate it if you want to remove the attendees from past events as well.
# $ gam redirect csv ./AllEvents.csv multiprocess csv ./AllCalendars.csv gam user "~primaryEmail" print events "~calendarId" starttime now matchfield attendeespattern "^.*@bar.com$" fields id,summary,attendees
# 2: From that list of files, output a CSV file that lists one attendee per row
# $ python3 MakeOneAttendeePerRowEvents.py AllEvents.csv AllEventsOAPR.csv
"""
import csv
import re
import sys
# Specify specific attendees(s), e.g., ATTENDEE_LIST = ['[email protected]'] ATTENDEE_LIST = ['[email protected]', '[email protected]']
# The list should be empty if you're only specifiying domains in DOMAIN_LIST, e.g. ATTENDEE_LIST = []
ATTENDEE_LIST = []
# Specify specific domain(s) if you want all attendees in the domain, e.g., DOMAIN_LIST = ['domain.com'] DOMAIN_LIST = ['domain1.com', 'domain2.com']
# The list should be empty if you're only specifiying attendees in ATTENDEE_LIST, e.g. DOMAIN__LIST = []
DOMAIN_LIST = []
# Specify attendees that match a pattern
# None: ATTENDEE_PATTERN = None
# Pattern: ATTENDEE_PATTERN = re.compile(r'^.*@bar.com$')
ATTENDEE_PATTERN = None
# Specify general columns you don't want in the output. e.g., attendees.
# The list should be empty if you want all general columns, e.g, DROP_GENERAL_COLUMNS = ['attendees']
DROP_GENERAL_COLUMNS = ['attendees']
# Specify attendee columns you don't want in the output. e.g., photoLink.
# The list should be empty if you want all attendee columns, e.g, DROP_ATTENDEE_COLUMNS = ['self']
DROP_ATTENDEE_COLUMNS = []
QUOTE_CHAR = '"' # Adjust as needed
LINE_TERMINATOR = '\n' # On Windows, you probably want '\r\n'
ATTENDEES_N_FIELD = re.compile(r"attendees.(\d+).(.+)")
if (len(sys.argv) > 2) and (sys.argv[2] != '-'):
outputFile = open(sys.argv[2], 'w', encoding='utf-8', newline='')
else:
outputFile = sys.stdout
if (len(sys.argv) > 1) and (sys.argv[1] != '-'):
inputFile = open(sys.argv[1], 'r', encoding='utf-8')
else:
inputFile = sys.stdin
inputCSV = csv.DictReader(inputFile, quotechar=QUOTE_CHAR)
attendeeFields = set()
inputFieldnames = []
for fieldname in inputCSV.fieldnames:
mg = ATTENDEES_N_FIELD.match(fieldname)
if mg:
field = mg.group(2)
if (not DROP_ATTENDEE_COLUMNS or field not in DROP_ATTENDEE_COLUMNS) and field not in attendeeFields:
attendeeFields.add(field)
inputFieldnames.append(f'attendee.{field}')
elif not DROP_GENERAL_COLUMNS or fieldname not in DROP_GENERAL_COLUMNS:
inputFieldnames.append(fieldname)
outputCSV = csv.DictWriter(outputFile, inputFieldnames, lineterminator=LINE_TERMINATOR, quotechar=QUOTE_CHAR)
outputCSV.writeheader()
for row in inputCSV:
baseRow = {}
attendees = {}
for k, v in iter(row.items()):
mg = ATTENDEES_N_FIELD.match(k)
if mg:
attendees_N = mg.group(1)
attendees.setdefault(attendees_N, {})
attendees[attendees_N][mg.group(2)] = v
elif not DROP_GENERAL_COLUMNS or k not in DROP_GENERAL_COLUMNS:
baseRow[k] = v
for k, v in iter(attendees.items()):
newRow = baseRow.copy()
emailAddress = v['email'].lower()
if emailAddress:
domain = emailAddress[emailAddress.find('@')+1:]
if ((not DOMAIN_LIST or domain in DOMAIN_LIST) and
(not ATTENDEE_LIST or emailAddress in ATTENDEE_LIST) and
(not ATTENDEE_PATTERN or ATTENDEE_PATTERN.match(emailAddress))):
for kp, kv in sorted(v.items()):
if not DROP_ATTENDEE_COLUMNS or kp not in DROP_ATTENDEE_COLUMNS:
newRow[f'attendee.{kp}'] = kv
outputCSV.writerow(newRow)
if inputFile != sys.stdin:
inputFile.close()
if outputFile != sys.stdout:
outputFile.close()