fix: 修复报告摘要生成并稳定默认端口

tests/integration/test_task_flow_xiaohongshu.py

@@ -5,6 +5,7 @@ from sqlalchemy.orm import Session
 
 from app.models import Comment, ContentItem, Hotspot, Report, Task
 from app.schemas import CreateTaskRequest
+from app.services.report_service import DEFAULT_SUMMARY
 from app.services.task_service import create_task, run_task
 from tests.helpers import make_test_client
 
@@ -28,7 +29,11 @@ class FakeXhsPlatform:
         return [CommentData(source_comment_id="c1", content="评论一", like_count=5, raw_data={"id": "c1"})]
 
 
+ai_prompts: list[str] = []
+
+
 def successful_ai_response(prompt: str) -> str:
+    ai_prompts.append(prompt)
     comments = json.loads(prompt[prompt.index("[") :])
     comment_id = comments[0]["comment_id"]
     return json.dumps(
@@ -38,9 +43,14 @@ def successful_ai_response(prompt: str) -> str:
 
 
 def test_xiaohongshu_task_flow_persists_hotspots_items_and_comments(monkeypatch):
+    ai_prompts.clear()
     with make_test_client() as (_client, engine):
         monkeypatch.setattr("app.services.task_service.build_platform", lambda _platform: FakeXhsPlatform())
-        monkeypatch.setattr("app.services.task_service.build_ai_requester", lambda: successful_ai_response)
+        summary_provider = lambda metrics, typical, *, word_limit=200: (
+            ai_prompts.append(f"只返回一段中文总结 word_limit={word_limit} sample={metrics['sample_count']}")
+            or "这是一段真实 AI 报告摘要。"
+        )
+        monkeypatch.setattr("app.services.task_service.build_ai_dependencies", lambda: (successful_ai_response, summary_provider))
 
         with Session(engine) as session:
             task = create_task(
@@ -66,14 +76,21 @@ def test_xiaohongshu_task_flow_persists_hotspots_items_and_comments(monkeypatch)
             assert comment.sentiment == "positive"
             assert comment.labels == '["认可"]'
             assert comment.reason == "喜欢"
-            assert session.scalar(select(Report).where(Report.task_id == task_id, Report.report_type == "item")) is not None
-            assert session.scalar(select(Report).where(Report.task_id == task_id, Report.report_type == "hotspot")) is not None
+            item_report = session.scalar(select(Report).where(Report.task_id == task_id, Report.report_type == "item"))
+            hotspot_report = session.scalar(select(Report).where(Report.task_id == task_id, Report.report_type == "hotspot"))
+            assert item_report is not None
+            assert hotspot_report is not None
+            assert item_report.summary == "这是一段真实 AI 报告摘要。"
+            assert hotspot_report.summary == "这是一段真实 AI 报告摘要。"
+            assert DEFAULT_SUMMARY not in item_report.markdown_content
+            assert DEFAULT_SUMMARY not in hotspot_report.markdown_content
+            assert any("只返回一段中文总结" in prompt for prompt in ai_prompts)
 
 
 def test_xiaohongshu_task_flow_marks_comments_failed_when_ai_parse_fails(monkeypatch):
     with make_test_client() as (_client, engine):
         monkeypatch.setattr("app.services.task_service.build_platform", lambda _platform: FakeXhsPlatform())
-        monkeypatch.setattr("app.services.task_service.build_ai_requester", lambda: (lambda _prompt: "not-json"))
+        monkeypatch.setattr("app.services.task_service.build_ai_dependencies", lambda: (lambda _prompt: "not-json", None))
         monkeypatch.setattr("app.services.ai_service.time.sleep", lambda _seconds: None)
 
         with Session(engine) as session:
@@ -107,7 +124,7 @@ def test_xiaohongshu_task_flow_keeps_item_success_when_ai_request_raises(monkeyp
         def failing_requester(_prompt):
             raise RuntimeError("ai unauthorized")
 
-        monkeypatch.setattr("app.services.task_service.build_ai_requester", lambda: failing_requester)
+        monkeypatch.setattr("app.services.task_service.build_ai_dependencies", lambda: (failing_requester, None))
 
         with Session(engine) as session:
             task = create_task(