Initial MVP for QA asset backend

hy_qa_asset_backend/backend/app/services/qa_parser.py

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+from typing import Any
+
+from app.services.risk_detector import reinforce_risk
+
+
+PRIMARY_TOPICS = {
+    "亲子关系",
+    "婚姻关系",
+    "原生家庭",
+    "情绪模式",
+    "课程学习",
+    "个人成长",
+    "家族系统",
+    "关系内耗",
+    "行动力与拖延",
+    "其他",
+}
+COURSE_STAGES = {"觉知", "原生", "合一", "生机", "心光", "大本营综合", "不确定"}
+DESENSITIZATION_STATUSES = {"not_needed", "needed", "done", "unknown"}
+REVIEW_STATUSES = {"pending", "reviewing", "approved", "needs_revision", "rejected", "forbidden"}
+
+
+def normalize_ai_item(item: dict[str, Any]) -> dict[str, Any]:
+    item = reinforce_risk(dict(item))
+    item["primary_topic"] = item.get("primary_topic") if item.get("primary_topic") in PRIMARY_TOPICS else "其他"
+    item["course_stage"] = item.get("course_stage") if item.get("course_stage") in COURSE_STAGES else "不确定"
+    item["desensitization_status"] = (
+        item.get("desensitization_status")
+        if item.get("desensitization_status") in DESENSITIZATION_STATUSES
+        else "unknown"
+    )
+    item["suggested_review_status"] = (
+        item.get("suggested_review_status") if item.get("suggested_review_status") in REVIEW_STATUSES else "pending"
+    )
+    for key in ("problem_tags", "audience_tags", "risk_types"):
+        if not isinstance(item.get(key), list):
+            item[key] = []
+    item["suggested_to_standard_qa"] = bool(item.get("suggested_to_standard_qa"))
+    item["need_desensitization"] = bool(item.get("need_desensitization"))
+    return item
+