refactor: unify data preparations and research input snapshots

backend/tests/test_ai_capabilities.py

@@ -10,11 +10,10 @@ from sqlalchemy import func, select
 from app.ai.capabilities import ToolContext, assemble
 from app.ai.tools import CAPABILITIES
 from app.business import Business
-from app.models import AIMessage, AIRun, AIToolCall, Alpha, Research, TemplateInput
+from app.models import AIMessage, AIRun, AIToolCall, Alpha, Research, ResearchInputSnapshot
 from app.research.service import ResearchBuilder
 from tests.test_ai import configure, single_tool_factory, start
 from tests.test_api import seed
-from tests.test_catalog import SCOPE
 from tests.test_catalog import catalog as catalog_fixture
 from tests.test_research_integration import fixed_input as fixed_input_fixture
 
@@ -62,15 +61,13 @@ async def test_prepare_failure_rolls_back_artifact_but_keeps_audit(app, logged_i
         # select_input has already persisted the new input before requesting its result page.
         raise HTTPException(422, "准备输入后的校验失败")
 
+    updated = await logged_in.patch(f"/api/v1/data-preparations/{fixed_input['preparation_id']}",
+        json={"version": fixed_input["preparation_version"], "name": "new version"})
+    assert updated.status_code == 200
     monkeypatch.setattr(ResearchBuilder, "input_page", unavailable_page)
     app.state.ai.model_factory = single_tool_factory(
         "prepare_research_input",
-        {
-            "scope": SCOPE,
-            "dataset_id": "TEST_FIN",
-            "collection_version": fixed_input["collection_version"],
-            "field_ids": ["TEST_FIN_001"],
-        },
+        {"items": [{"id": fixed_input["preparation_id"], "version": updated.json()["version"]}]},
     )
     _, run, _ = await start(app, logged_in, "保存研究输入")
     call = run["tools"][0]
@@ -78,7 +75,7 @@ async def test_prepare_failure_rolls_back_artifact_but_keeps_audit(app, logged_i
     assert call["presentation"]["effect"] == "prepare"
     assert call["result"]["error"] == "准备输入后的校验失败"
     async with app.state.sessions() as db:
-        assert await db.scalar(select(func.count()).select_from(TemplateInput)) == 1
+        assert await db.scalar(select(func.count()).select_from(ResearchInputSnapshot)) == 1
         assert (await db.get(AIToolCall, call["id"])).status == "failed"