replace pandas with dateparser

check_scrutiny_disks.py

@@ -5,7 +5,7 @@ import sys
 from datetime import datetime, timedelta
 from typing import List
 
-import pandas as pd
+import dateparser
 import pytz
 
 from checker import nagios
@@ -77,10 +77,7 @@ def main(args):
 
         metadata = smart_health['metadata']
 
-        # For testing
-        # smart_health['data']['device']['UpdatedAt'] = '2023-04-28T23:00:03.071184465Z'
-
-        last_updated = pd.to_datetime(smart_health['data']['device']['UpdatedAt'])  # , '%Y-%m-%dT%H:%M:%S.%fZ')
+        last_updated = dateparser.parse(smart_health['data']['device']['UpdatedAt'])
         if datetime.now(pytz.utc) - timedelta(hours=args.time_delta_limit) > last_updated.replace(tzinfo=pytz.utc):
             metrics_out_of_date = True
 

requirements-everybody.txt

@@ -6,8 +6,8 @@ numpy==1.24.4
 requests==2.31.0
 pillow==9.4.0
 beautifulsoup4==4.11.2
-pandas==2.0.0
 pytz==2023.3.post1
 cf_speedtest==0.1.7
 zfslib==0.11.0
 hurry.filesize==0.9
+dateparser==1.2.0