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author | Niclas Dobbertin <niclas.dobbertin@stud.tu-darmstadt.de> | 2023-10-04 13:02:31 +0200 |
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committer | Niclas Dobbertin <niclas.dobbertin@stud.tu-darmstadt.de> | 2023-10-04 13:02:31 +0200 |
commit | 94e4a7b70bbd8864cb7c8b5482db5caf7bfbd279 (patch) | |
tree | 3b6abad615c6b1f715da9ca29ad4dc2208ef4be3 /bjoern/videoanalyse/LogParser.py | |
parent | ecddc6332c7c526b5dbf772e53fcacf68dd5b866 (diff) |
organize imports
Diffstat (limited to 'bjoern/videoanalyse/LogParser.py')
-rwxr-xr-x | bjoern/videoanalyse/LogParser.py | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/bjoern/videoanalyse/LogParser.py b/bjoern/videoanalyse/LogParser.py index b41804d..5b9f992 100755 --- a/bjoern/videoanalyse/LogParser.py +++ b/bjoern/videoanalyse/LogParser.py @@ -1,16 +1,17 @@ -# -*- coding: utf-8 -*- +#!/usr/bin/env python3 """ This script takes multiple .log data files from PCScreenWatcher and a Firefox history database (places.sqlite) inside a folder to extract each activity title, their url if applicable and usage timestamps into a pseudo-csv file. """ +import csv import os import re from datetime import datetime -import csv -from read_sqlite import get_url_from_sqlite from pathlib import Path +from read_sqlite import get_url_from_sqlite + # takes the log data string and returns a list of activity titles and their time windows def extract_activities(log_data): |