Fixed stuff

CLAUDE.md

@@ -1,2 +1,4 @@
 Uv managed python project that grabs data from the meta api and saves it in a timescaledb database. 
 
+Always use uv run to execute python related stuff
+

src/meta_api_grabber/database.py

@@ -310,7 +310,6 @@ class TimescaleDBClient:
         account_id: str,
         data: Dict[str, Any],
         date_preset: str = "today",
-        cache_metadata: bool = True,
     ):
         """
         Insert campaign-level insights data.
@@ -321,10 +320,9 @@ class TimescaleDBClient:
             account_id: Ad account ID
             data: Insights data dictionary from Meta API
             date_preset: Date preset used
-            cache_metadata: If True, automatically cache campaign metadata from insights data
         """
-        # Cache campaign metadata if requested and available in the insights data
+        # Auto-cache campaign metadata if available in the insights data
-        if cache_metadata and data.get("campaign_name"):
+        if data.get("campaign_name"):
             await self.upsert_campaign(
                 campaign_id=campaign_id,
                 account_id=account_id,
@@ -389,7 +387,6 @@ class TimescaleDBClient:
         account_id: str,
         data: Dict[str, Any],
         date_preset: str = "today",
-        cache_metadata: bool = True,
     ):
         """
         Insert ad set level insights data.
@@ -401,11 +398,8 @@ class TimescaleDBClient:
             account_id: Ad account ID
             data: Insights data dictionary from Meta API
             date_preset: Date preset used
-            cache_metadata: If True, automatically cache adset/campaign metadata from insights data
         """
-        # Cache metadata if requested and available in the insights data
+        # Auto-cache adset metadata if available in the insights data
-        if cache_metadata:
-            # Cache adset metadata if available
         # Note: Campaign should already exist from cache_campaigns_metadata or grab_campaign_insights
         # If it doesn't exist, the foreign key constraint will fail with a clear error
         # This is intentional - we should never silently create campaigns with 'Unknown' names

src/meta_api_grabber/scheduled_grabber.py

@@ -438,7 +438,6 @@ class ScheduledInsightsGrabber:
         end_date: Optional[date] = None,
         breakdowns: Optional[list] = None,
         limit: Optional[int] = None,
-        cache_metadata: bool = False,
         required_fields: Optional[dict] = None,
         extra_data_processor=None,
     ) -> tuple[int, Optional[date]]:
@@ -455,7 +454,6 @@ class ScheduledInsightsGrabber:
             end_date: End date for custom date range (optional)
             breakdowns: List of breakdown fields (optional)
             limit: Maximum number of results (optional)
-            cache_metadata: Whether to cache metadata (for campaign/adset levels)
             required_fields: Dict of field_name -> label for validation before insert
             extra_data_processor: Optional callable to process/add extra data to insight_dict
 
@@ -529,14 +527,27 @@ class ScheduledInsightsGrabber:
             # Compute appropriate timestamp based on date_start and account timezone
             timestamp = self._compute_timestamp(date_start_str, account_timezone)
 
-            # Call the appropriate database insert function
+            # Build kwargs for insert function based on level
-            await db_insert_func(
+            kwargs = {
-                time=timestamp,
+                "time": timestamp,
-                account_id=account_id,
+                "account_id": account_id,
-                data=insight_dict,
+                "data": insight_dict,
-                date_preset=date_preset_for_db,
+                "date_preset": date_preset_for_db,
-                cache_metadata=cache_metadata,
+            }
-            )
+
+            # Add level-specific parameters
+            if level == "campaign":
+                kwargs["campaign_id"] = insight_dict.get("campaign_id")
+            elif level == "adset":
+                kwargs["adset_id"] = insight_dict.get("adset_id")
+                kwargs["campaign_id"] = insight_dict.get("campaign_id")
+
+            # Add country for breakdown queries
+            if "country" in insight_dict:
+                kwargs["country"] = insight_dict.get("country")
+
+            # Call the appropriate database insert function with level-specific parameters
+            await db_insert_func(**kwargs)
             count += 1
 
         return count, date_start_value
@@ -602,7 +613,6 @@ class ScheduledInsightsGrabber:
             db_insert_func=self.db.insert_campaign_insights,
             date_preset=date_preset,
             limit=limit,
-            cache_metadata=True,
             required_fields={"campaign_id": "campaign_id"},
         )
 
@@ -640,7 +650,6 @@ class ScheduledInsightsGrabber:
             db_insert_func=self.db.insert_adset_insights,
             date_preset=date_preset,
             limit=limit,
-            cache_metadata=True,
             required_fields={"adset_id": "adset_id", "campaign_id": "campaign_id"},
         )
 
@@ -759,7 +768,6 @@ class ScheduledInsightsGrabber:
             start_date=start_date,
             end_date=end_date,
             limit=limit,
-            cache_metadata=True,
             required_fields={"campaign_id": "campaign_id"},
         )
 
@@ -808,7 +816,6 @@ class ScheduledInsightsGrabber:
             start_date=start_date,
             end_date=end_date,
             limit=limit,
-            cache_metadata=True,
             required_fields={"adset_id": "adset_id", "campaign_id": "campaign_id"},
         )