chore: 将后端移动到 api/ 目录，准备合并为单仓库

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

api/submission/management/commands/classify_messages.py

@@ -0,0 +1,28 @@
+from django.core.management.base import BaseCommand
+
+from prompt.models import Conversation
+from submission.classifier import classify_conversation_messages
+
+
+class Command(BaseCommand):
+    help = "为所有缺失 Bloom 等级的用户消息补全分类"
+
+    def add_arguments(self, parser):
+        parser.add_argument(
+            "--force",
+            action="store_true",
+            help="重新分类所有消息（包括已有等级的）",
+        )
+
+    def handle(self, *args, **options):
+        force = options["force"]
+        convs = Conversation.objects.all()
+        total = convs.count()
+        self.stdout.write(f"共 {total} 个对话，开始分类...")
+
+        for i, conv in enumerate(convs, 1):
+            classify_conversation_messages(conv.id, force=force)
+            self.stdout.write(f"[{i}/{total}] {conv}", ending="\r")
+            self.stdout.flush()
+
+        self.stdout.write(self.style.SUCCESS(f"\n完成，处理了 {total} 个对话。"))

api/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."))

api/submission/management/commands/recalculate_scores.py

@@ -0,0 +1,27 @@
+from django.core.management.base import BaseCommand
+
+from submission.models import Submission
+
+
+class Command(BaseCommand):
+    help = "Recalculate score, raw_score, and zone for all rated submissions"
+
+    def add_arguments(self, parser):
+        parser.add_argument("--dry-run", action="store_true", help="Show what would change without saving")
+
+    def handle(self, *args, **options):
+        dry_run = options["dry_run"]
+        qs = Submission.objects.filter(ratings__isnull=False).distinct()
+        total = qs.count()
+        self.stdout.write(f"Found {total} rated submission(s).")
+
+        if dry_run:
+            self.stdout.write("Dry run — no changes made.")
+            return
+
+        for i, s in enumerate(qs, 1):
+            old_score = s.score
+            s.update_score()
+            self.stdout.write(f"[{i}/{total}] {s.user.username}/{s.task.title}: {old_score:.3f} → {s.score:.3f}  zone={s.zone}")
+
+        self.stdout.write(self.style.SUCCESS("Done."))