add bloom

submission/management/commands/classify_prompts.py

@@ -0,0 +1,35 @@
+from django.core.management.base import BaseCommand
+
+from prompt.models import Message
+from submission.classifier import classify_message
+
+
+class Command(BaseCommand):
+    help = "Classify prompt levels (L1-L6) for user messages using LLM"
+
+    def add_arguments(self, parser):
+        parser.add_argument("--task-id", type=int, help="Only classify messages for this task ID")
+        parser.add_argument("--force", action="store_true", help="Re-classify already classified messages")
+        parser.add_argument("--dry-run", action="store_true", help="Show count without classifying")
+
+    def handle(self, *args, **options):
+        qs = Message.objects.filter(role="user")
+        if options["task_id"]:
+            qs = qs.filter(conversation__task_id=options["task_id"])
+        if not options["force"]:
+            qs = qs.filter(prompt_level__isnull=True)
+
+        ids = list(qs.values_list("id", flat=True))
+        self.stdout.write(f"Found {len(ids)} message(s) to classify.")
+
+        if options["dry_run"]:
+            self.stdout.write("Dry run — no changes made.")
+            return
+
+        for i, mid in enumerate(ids, 1):
+            level = classify_message(mid)
+            self.stdout.write(
+                f"[{i}/{len(ids)}] msg#{mid} → L{level}" if level else f"[{i}/{len(ids)}] msg#{mid} → (skipped)"
+            )
+
+        self.stdout.write(self.style.SUCCESS("Done."))