Add schedule for processing new S3 log files

dandiapi/analytics/tasks/__init__.py

@@ -67,6 +67,12 @@ def process_s3_log_file_task(bucket: LogBucket, s3_log_key: str) -> None:
         settings.DANDI_DANDISETS_EMBARGO_LOG_BUCKET_NAME,
     ]
     embargoed = bucket == settings.DANDI_DANDISETS_EMBARGO_LOG_BUCKET_NAME
+
+    # short circuit if the log file has already been processed. note that this doesn't guarantee
+    # exactly once processing, that's what the unique constraint on ProcessedS3Log is for.
+    if ProcessedS3Log.objects.filter(name=Path(s3_log_key).name, embargoed=embargoed).exists():
+        return
+
     s3 = get_boto_client(get_storage() if not embargoed else get_embargo_storage())
     BlobModel = AssetBlob if not embargoed else EmbargoedAssetBlob
     data = s3.get_object(Bucket=bucket, Key=s3_log_key)

dandiapi/api/tasks/scheduled.py

@@ -13,6 +13,7 @@
 from django.contrib.auth.models import User
 from django.db import connection
 
+from dandiapi.analytics.tasks import collect_s3_log_records_task
 from dandiapi.api.mail import send_pending_users_message
 from dandiapi.api.models import UserMetadata, Version
 from dandiapi.api.services.metadata import version_aggregate_assets_summary
@@ -80,3 +81,13 @@ def register_scheduled_tasks(sender: Celery, **kwargs):
 
     # Refresh the materialized view used by asset search every 10 mins.
     sender.add_periodic_task(timedelta(minutes=10), refresh_materialized_view_search.s())
+
+    # Process new S3 logs every hour
+    for log_bucket in [
+        settings.DANDI_DANDISETS_LOG_BUCKET_NAME,
+        settings.DANDI_DANDISETS_EMBARGO_LOG_BUCKET_NAME,
+    ]:
+        sender.add_periodic_task(
+            timedelta(hours=1),
+            collect_s3_log_records_task.s(log_bucket),
+        )