feat: expose acceptance Link AI aggregate data

acceptance_service.py

@@ -22,6 +22,7 @@ from crawler_client import (
     collect_keyword_sources,
     fetch_content_detail,
     get_wen_resources,
+    match_feishu_notes,
     query_collection,
     schedule_xapi_screenshots,
 )
@@ -965,3 +966,61 @@ def list_acceptance_notes(public_id: str) -> dict[str, Any]:
             item["parsed_data"] = json.loads(item.pop("raw_json")) if item.get("raw_json") else None
             items.append(item)
     return {"items": items, "total": len(items)}
+
+
+def get_acceptance_link_ai_data(public_id: str) -> dict[str, Any]:
+    """返回 Link AI 所需的笔记、AI 采集结果和逐关键词比对结果。"""
+    with connection() as conn:
+        task = conn.execute(
+            "SELECT * FROM acceptance_tasks WHERE public_task_id=?", (public_id,),
+        ).fetchone()
+        if not task:
+            raise TaskError("ACCEPTANCE_TASK_NOT_FOUND", "验收任务不存在", 404)
+        task_data = _task_dict(conn, task)
+        rows = conn.execute(
+            """SELECT a.keyword,a.credential_id,a.attempt_number,a.crawler_task_id,
+                      a.result_json,a.completed_at
+               FROM acceptance_cookie_attempts a
+               WHERE a.task_id=? AND a.status='completed' AND a.result_json IS NOT NULL
+               ORDER BY a.keyword,a.id""",
+            (task["id"],),
+        ).fetchall()
+
+    ai_results = []
+    for row in rows:
+        try:
+            result = json.loads(row["result_json"])
+        except (TypeError, json.JSONDecodeError):
+            continue
+        ai_results.append({
+            "keyword": row["keyword"],
+            "credential_id": row["credential_id"],
+            "attempt_number": row["attempt_number"],
+            "crawler_task_id": row["crawler_task_id"],
+            "completed_at": row["completed_at"],
+            "result": result,
+        })
+
+    comparisons = []
+    for keyword in task_data["keywords"]:
+        try:
+            comparisons.append({
+                "keyword": keyword,
+                "status": "completed",
+                "data": match_feishu_notes(keyword),
+            })
+        except Exception as exc:
+            comparisons.append({
+                "keyword": keyword,
+                "status": "failed",
+                "error": str(exc),
+                "data": None,
+            })
+
+    return {
+        "task": task_data,
+        "notes": list_acceptance_notes(public_id),
+        "ai_results": {"items": ai_results, "total": len(ai_results)},
+        "note_matches": {"items": comparisons, "total": len(comparisons)},
+        "data_scope": "仅包含当前已完成并已入库的数据",
+    }