Update linkedin_follower_stats.py

linkedin_follower_stats.py

@@ -2,8 +2,7 @@
 import json
 import requests
 import logging
-from datetime import datetime, timezone
-from dateutil.relativedelta import relativedelta # For robust month arithmetic
+from datetime import datetime, timezone, timedelta
 from urllib.parse import quote
 
 # Assuming you have a sessions.py with create_session
@@ -177,16 +176,12 @@ def fetch_monthly_follower_gains(session, org_urn, api_rest_base):
     Fetches monthly follower gains for the last 12 full months.
     The start date is set to the first day of the month, 12 months prior to the current month, at midnight UTC.
     """
-    now = datetime.now(timezone.utc)
-
-    # Calculate the first day of the month, 12 months ago.
-    # For example, if now is 2025-05-13:
-    # - twelve_months_ago_date becomes 2024-05-13.
-    # - start_of_period becomes 2024-05-01 00:00:00 UTC.
-    twelve_months_ago_date = now - relativedelta(months=12)
-    start_of_period = twelve_months_ago_date.replace(day=1, hour=0, minute=0, second=0, microsecond=0, tzinfo=timezone.utc)
+    now = datetime.now()
+
+    twelve_months_ago = now - timedelta(days=365)
+    twelve_months_ago = twelve_months_ago.replace(day=1)
     
-    start_ms = int(start_of_period.timestamp() * 1000)
+    start_date = int(twelve_months_ago.timestamp() * 1000)
 
     # Build URL with explicit query string
     url = (
@@ -194,7 +189,7 @@ def fetch_monthly_follower_gains(session, org_urn, api_rest_base):
         f"?q=organizationalEntity"
         f"&organizationalEntity={org_urn}"
         f"&timeIntervals.timeGranularityType=MONTH"
-        f"&timeIntervals.timeRange.start={start_ms}"
+        f"&timeIntervals.timeRange.start={start_date}"
         # LinkedIn defaults the end of the timeRange to the current time if not specified.
     )
     logging.info(f"Fetching monthly follower gains from URL: {url}")