refactor(status): move attention projections into bounded module

loopx/control_plane/status/attention_projection.py

@@ -0,0 +1,74 @@
+"""Status attention projections inside the `status` bounded context."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from ..todos.contract import (
+    TODO_TASK_CLASS_ADVANCEMENT,
+    TODO_TASK_CLASS_MONITOR,
+)
+from ..todos.todo_summary import (
+    normalize_todo_text,
+    open_todo_items,
+    todo_item_is_actionable_open,
+)
+from ..work_items.attention_queue import (
+    build_attention_queue_projection as _build_attention_queue_projection,
+)
+from ..work_items.autonomous_candidates import (
+    MAX_AUTONOMOUS_TODO_CANDIDATES,
+    autonomous_backlog_candidates as _autonomous_backlog_candidates,
+    autonomous_monitor_candidates as _autonomous_monitor_candidates,
+)
+
+
+MONITOR_SIGNAL_WAITING_ON = "monitor_signal"
+MAX_AUTONOMOUS_BACKLOG_CANDIDATES = MAX_AUTONOMOUS_TODO_CANDIDATES
+
+
+def autonomous_backlog_candidates(
+    items: list[dict[str, Any]],
+    *,
+    limit: int = MAX_AUTONOMOUS_BACKLOG_CANDIDATES,
+) -> dict[str, Any] | None:
+    return _autonomous_backlog_candidates(
+        items,
+        open_todo_items=open_todo_items,
+        todo_item_is_actionable_open=todo_item_is_actionable_open,
+        normalize_todo_text=normalize_todo_text,
+        advancement_task_class=TODO_TASK_CLASS_ADVANCEMENT,
+        limit=limit,
+    )
+
+
+def autonomous_monitor_candidates(
+    items: list[dict[str, Any]],
+    *,
+    limit: int = MAX_AUTONOMOUS_BACKLOG_CANDIDATES,
+) -> dict[str, Any] | None:
+    return _autonomous_monitor_candidates(
+        items,
+        open_todo_items=open_todo_items,
+        todo_item_is_actionable_open=todo_item_is_actionable_open,
+        normalize_todo_text=normalize_todo_text,
+        monitor_task_class=TODO_TASK_CLASS_MONITOR,
+        monitor_signal_waiting_on=MONITOR_SIGNAL_WAITING_ON,
+        limit=limit,
+    )
+
+
+def build_attention_queue_projection(
+    *,
+    items: list[dict[str, Any]],
+    goal_id_filter: str | None,
+    autonomous_backlog_candidates: dict[str, Any] | None,
+    autonomous_monitor_candidates: dict[str, Any] | None,
+) -> dict[str, Any]:
+    return _build_attention_queue_projection(
+        items=items,
+        goal_id_filter=goal_id_filter,
+        autonomous_backlog_candidates=autonomous_backlog_candidates,
+        autonomous_monitor_candidates=autonomous_monitor_candidates,
+        monitor_signal_waiting_on=MONITOR_SIGNAL_WAITING_ON,
+    )

loopx/status.py

@@ -70,8 +70,6 @@
 )
 from .control_plane.work_items.autonomous_candidates import (
     MAX_AUTONOMOUS_TODO_CANDIDATES as _MAX_AUTONOMOUS_TODO_CANDIDATES,
-    autonomous_backlog_candidates as _autonomous_backlog_candidates_read_model,
-    autonomous_monitor_candidates as _autonomous_monitor_candidates_read_model,
 )
 from .control_plane.agents.agent_lane_recommendation import (
     compact_agent_lane_recommendation as _compact_agent_lane_recommendation_read_model,
@@ -103,7 +101,6 @@
 from .control_plane.work_items.attention_queue import (
     AttentionQueueContext,
     build_attention_queue as _build_attention_queue_read_model,
-    build_attention_queue_projection as _build_attention_queue_projection_read_model,
     merge_global_registry_findings as _merge_global_registry_findings_read_model,
 )
 from .control_plane.work_items.attention_routing import (
@@ -319,8 +316,6 @@
 )
 from .control_plane.todos.contract import (
     TODO_STATUS_OPEN,
-    TODO_TASK_CLASS_ADVANCEMENT,
-    TODO_TASK_CLASS_MONITOR,
     TODO_TASK_CLASS_USER_GATE,
     normalize_todo_status,
     normalize_todo_task_class as normalize_todo_task_class,
@@ -2212,31 +2207,24 @@ def autonomous_backlog_candidates(
     *,
     limit: int = MAX_AUTONOMOUS_BACKLOG_CANDIDATES,
 ) -> dict[str, Any] | None:
-    return _autonomous_backlog_candidates_read_model(
-        items,
-        open_todo_items=open_todo_items,
-        todo_item_is_actionable_open=todo_item_is_actionable_open,
-        normalize_todo_text=normalize_todo_text,
-        advancement_task_class=TODO_TASK_CLASS_ADVANCEMENT,
-        limit=limit,
+    from .control_plane.status.attention_projection import (
+        autonomous_backlog_candidates as _autonomous_backlog_candidates,
     )
 
+    return _autonomous_backlog_candidates(items, limit=limit)
+
 
 def autonomous_monitor_candidates(
     items: list[dict[str, Any]],
     *,
     limit: int = MAX_AUTONOMOUS_BACKLOG_CANDIDATES,
 ) -> dict[str, Any] | None:
-    return _autonomous_monitor_candidates_read_model(
-        items,
-        open_todo_items=open_todo_items,
-        todo_item_is_actionable_open=todo_item_is_actionable_open,
-        normalize_todo_text=normalize_todo_text,
-        monitor_task_class=TODO_TASK_CLASS_MONITOR,
-        monitor_signal_waiting_on=MONITOR_SIGNAL_WAITING_ON,
-        limit=limit,
+    from .control_plane.status.attention_projection import (
+        autonomous_monitor_candidates as _autonomous_monitor_candidates,
     )
 
+    return _autonomous_monitor_candidates(items, limit=limit)
+
 
 def build_attention_queue_projection(
     *,
@@ -2245,12 +2233,15 @@ def build_attention_queue_projection(
     autonomous_backlog_candidates: dict[str, Any] | None,
     autonomous_monitor_candidates: dict[str, Any] | None,
 ) -> dict[str, Any]:
-    return _build_attention_queue_projection_read_model(
+    from .control_plane.status.attention_projection import (
+        build_attention_queue_projection as _build_attention_queue_projection,
+    )
+
+    return _build_attention_queue_projection(
         items=items,
         goal_id_filter=goal_id_filter,
         autonomous_backlog_candidates=autonomous_backlog_candidates,
         autonomous_monitor_candidates=autonomous_monitor_candidates,
-        monitor_signal_waiting_on=MONITOR_SIGNAL_WAITING_ON,
     )