fix: load real tree_data for offline diagnosis (video_split_cli)

tests/unit/test_video_split_cli.py

@@ -268,6 +268,8 @@ def test_build_diagnosis_deps_model_mismatch_fails_loud(monkeypatch, tmp_path):
     with pytest.raises(SystemExit) as exc:
         cli.build_diagnosis_deps(
             harness_db=tmp_path / "h.db",
+            store_dir=tmp_path,
+            video_ids=[],
             concurrency=2,
             expected_model="deepseek-v4-pro",  # 与 env 不一致
         )
@@ -288,7 +290,11 @@ def test_build_diagnosis_deps_missing_credentials_fails_loud(monkeypatch, tmp_pa
     monkeypatch.setattr(cli, "_DiagLLMSettings", lambda: _EmptySettings())
     with pytest.raises(SystemExit):
         cli.build_diagnosis_deps(
-            harness_db=tmp_path / "h.db", concurrency=2, expected_model="deepseek-v4-pro"
+            harness_db=tmp_path / "h.db",
+            store_dir=tmp_path,
+            video_ids=[],
+            concurrency=2,
+            expected_model="deepseek-v4-pro",
         )
 
 

tests/unit/test_video_split_cli_tree_inject.py

@@ -0,0 +1,33 @@
+"""离线诊断注入：build_diagnosis_deps 按 video_ids 填充非空 tree_data。"""
+
+from pathlib import Path
+from unittest.mock import patch
+
+from app.harness.video_split_cli import build_diagnosis_deps
+
+
+def test_build_diagnosis_deps_loads_tree_for_videos():
+    with (
+        patch("app.harness.video_split_cli._DiagLLMSettings") as settings_cls,
+        patch("adapters.llm.GovernedLLMClient"),
+        patch("adapters.telemetry.SQLiteTelemetryRecorder"),
+        patch("app.harness.video_split_cli._build_redis_cache", return_value=None),
+    ):
+        s = settings_cls.return_value
+        s.search_llm_model = "deepseek-v4-pro"
+        s.search_llm_base_url = "http://x"
+        s.search_llm_api_key = "k"
+        s.llm_circuit_breaker_threshold = 32
+        s.llm_circuit_breaker_cooldown = 60
+        s.llm_timeout = s.llm_ttft_timeout = s.llm_inter_token_timeout = 60
+        s.llm_max_retries = 1
+        s.llm_retry_base_delay = s.llm_retry_max_delay = 1
+        deps = build_diagnosis_deps(
+            harness_db=Path("workspaces/default/harness.db"),
+            store_dir=Path("store"),
+            video_ids=["0RxMZBLeqRI"],
+            concurrency=1,
+            expected_model="deepseek-v4-pro",
+        )
+    assert "0RxMZBLeqRI" in deps.tree_data
+    assert deps.tree_data["0RxMZBLeqRI"]["nodes"]