Updated computed_timstamp. Changed approach

src/meta_api_grabber/scheduled_grabber.py

@@ -201,30 +201,28 @@ class ScheduledInsightsGrabber:
 
     def _compute_timestamp(
         self,
-        date_preset: str,
         date_start_str: Optional[str],
         account_timezone: str
     ) -> datetime:
         """
         Compute the appropriate timestamp for storing insights data.
 
-        For 'today': Use current time (data is live, constantly updating)
-        For historical presets (yesterday, etc.): Use noon of that date in the account's timezone,
-        then convert to UTC. This ensures the data point falls on the correct day when plotted.
+        Always uses noon of the data's date in the account's timezone, then converts to UTC.
+        This ensures consistent timestamps regardless of when data was fetched:
+        - Today's data (fetched multiple times): all share same timestamp (today at noon)
+        - Yesterday's data: timestamp at yesterday noon
+        - Use fetched_at column to track when data was actually retrieved
+
+        This design makes time-series queries simple (one timestamp per date) while
+        preserving intraday evolution via fetched_at.
 
         Args:
-            date_preset: The date preset used ('today', 'yesterday', etc.)
             date_start_str: The date_start from Meta API (ISO format: 'YYYY-MM-DD')
             account_timezone: Account timezone name (e.g., 'America/Los_Angeles')
 
         Returns:
-            Timestamp in UTC
+            Timestamp in UTC (noon of the data date)
         """
-        # For 'today', use current time since data is live
-        if date_preset == "today":
-            return datetime.now(timezone.utc)
-
-        # For historical data, use noon of that date in the account's timezone
         if date_start_str:
             try:
                 # Parse the date
@@ -445,8 +443,8 @@ class ScheduledInsightsGrabber:
             if date_start_str and date_start_value is None:
                 date_start_value = date.fromisoformat(date_start_str)
 
-            # Compute appropriate timestamp based on date_preset and account timezone
-            timestamp = self._compute_timestamp(date_preset, date_start_str, account_timezone)
+            # Compute appropriate timestamp based on date_start and account timezone
+            timestamp = self._compute_timestamp(date_start_str, account_timezone)
 
             await self.db.insert_account_insights(
                 time=timestamp,