Уточнить агентный pack-loop для ограниченных срезов

tests/test_domain_case_loop.py

@@ -7,6 +7,7 @@ from pathlib import Path
 sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
 
 from scripts.domain_case_loop import (
+    build_analyst_loop_prompt,
     build_coder_loop_prompt,
     build_coder_snapshot_paths,
     build_deterministic_repair_targets,
@@ -18,6 +19,7 @@ from scripts.domain_case_loop import (
     evaluate_deterministic_loop_gate,
     load_scenario_pack,
     load_shared_local_llm_defaults,
+    merge_analyst_priority_repair_targets,
     merge_scenario_date_scope,
     select_primary_repair_focus,
     restore_line_collapsed_files_from_snapshot,
@@ -840,7 +842,7 @@ def test_evaluate_deterministic_loop_gate_rejects_partial_pack_even_without_targ
     )
 
     assert gate_ok is False
-    assert reason == "pack_final_status=partial"
+    assert reason == "pack_acceptance_status=partial;pack_final_status=partial"
 
 
 def test_evaluate_deterministic_loop_gate_rejects_remaining_p1_targets() -> None:
@@ -863,6 +865,62 @@ def test_evaluate_deterministic_loop_gate_accepts_clean_pack_without_remaining_p
     assert reason == "deterministic_gate_passed"
 
 
+def test_build_analyst_loop_prompt_treats_limited_slice_as_coverage_scope(tmp_path: Path) -> None:
+    prompt = build_analyst_loop_prompt(
+        loop_dir=tmp_path / "loop",
+        iteration_dir=tmp_path / "loop" / "iterations" / "iteration_00",
+        pack_dir=tmp_path / "loop" / "iterations" / "iteration_00" / "pack_output" / "pack_run",
+        repair_targets_path=tmp_path / "loop" / "iterations" / "iteration_00" / "repair_targets.json",
+        previous_pack_dir=None,
+        previous_verdict_path=None,
+        target_score=90,
+        review_bundle_json=json.dumps(
+            {
+                "pack_state": {
+                    "coverage_mode": "limited_slice",
+                    "selected_scenario_ids": ["inventory_snapshot_roots"],
+                    "unexecuted_scenario_ids": ["inventory_selected_item_provenance"],
+                    "acceptance_status": "partial",
+                }
+            },
+            ensure_ascii=False,
+        ),
+        repair_targets_json=json.dumps({"targets": []}),
+        previous_verdict_json=None,
+    )
+
+    assert "pack_state.coverage_mode = limited_slice" in prompt
+    assert "do not create priority targets" in prompt
+    assert "pack_state.unexecuted_scenario_ids" in prompt
+
+
+def test_merge_analyst_priority_targets_suppresses_unexecuted_limited_slice_scenarios() -> None:
+    merged = merge_analyst_priority_repair_targets(
+        {
+            "coverage_mode": "limited_slice",
+            "selected_scenario_ids": ["inventory_snapshot_roots"],
+            "unexecuted_scenario_ids": ["inventory_selected_item_provenance"],
+            "targets": [],
+            "step_validation_index": {},
+        },
+        {
+            "priority_targets": [
+                {
+                    "scenario_id": "inventory_selected_item_provenance",
+                    "step_id": "step_02_selected_item_supplier_ui",
+                    "severity": "P1",
+                    "problem_type": "loop_coverage_gap",
+                    "fix_goal": "run the selected item scenario",
+                }
+            ]
+        },
+    )
+
+    assert merged["targets"] == []
+    assert merged["suppressed_analyst_priority_target_count"] == 1
+    assert merged["suppressed_analyst_priority_targets"][0]["reason"] == "analyst_target_outside_limited_slice"
+
+
 def test_build_scenario_step_state_uses_effective_analysis_context_from_turn_artifact() -> None:
     step_state = build_scenario_step_state(
         scenario_id="inventory_snapshot_roots",