"""Promotion Node (stub) - trust scoring and local-to-global knowledge promotion.

Full implementation will:
1. Store validated fixes as Backboard memories on the project assistant
2. Increment trust_score when fixes are applied successfully
3. Promote to org assistant when trust threshold is met
"""

from __future__ import annotations

from tribalmind.graph.state import TribalState


async def promotion_node(state: TribalState) -> dict:
    """LangGraph node: handle fix storage and trust-based promotion."""
    promoted = False

    # TODO: Implement trust scoring logic:
    # 1. Check if this fix was applied (subsequent command succeeded)
    # 2. Store/update memory with incremented trust_score
    # 3. If trust_score >= threshold and team_sharing_enabled:
    #    - Copy memory to org assistant (promote to global)
    #    - Set promoted = True

    return {
        "promoted": promoted,
        "log": [f"promotion: promoted={promoted}"],
    }
