63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
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"""Core attention contributors — blockers, blocked actions."""
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from __future__ import annotations
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from steering.attention.context import AttentionEvalContext
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from steering.attention.contributors.registry import (
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AttentionContributor,
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register_attention_contributor,
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)
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def _open_blockers(ctx: AttentionEvalContext) -> list[dict]:
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items: list[dict] = []
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for blocker in ctx.blockers:
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if blocker.get("status") not in ("open", "in_progress"):
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continue
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items.append(
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{
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"kind": "open_blocker",
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"severity": "warning",
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"title": blocker.get("title") or "Blocker",
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"summary": "Offener Blocker im Vorhaben",
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"scope_type": "blocker",
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"scope_id": str(blocker["id"]),
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"initiative_id": ctx.initiative_id,
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"action_id": (
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str(blocker["action_id"]) if blocker.get("action_id") else None
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),
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"blocker_id": str(blocker["id"]),
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"reason_code": "path_blocked",
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}
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)
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return items
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def _blocked_actions(ctx: AttentionEvalContext) -> list[dict]:
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items: list[dict] = []
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for action in ctx.actions:
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if action.get("status") != "blocked":
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continue
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items.append(
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{
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"kind": "blocked_action",
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"severity": "critical",
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"title": action.get("title") or "Arbeitspaket",
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"summary": "Maßnahme ist blockiert",
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"scope_type": "action",
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"scope_id": str(action["id"]),
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"initiative_id": ctx.initiative_id,
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"action_id": str(action["id"]),
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"reason_code": "path_blocked",
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}
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)
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return items
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register_attention_contributor(
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AttentionContributor(key="open_blockers", contribute=_open_blockers)
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)
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register_attention_contributor(
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AttentionContributor(key="blocked_actions", contribute=_blocked_actions)
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)
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