from __future__ import annotations

from copy import deepcopy
from typing import Any


_REVIEW_KEYS = {
    "id",
    "eventId",
    "roundIndex",
    "branchIds",
    "branchConclusions",
    "comparison",
    "recommendation",
    "conclusion",
    "status",
    "startedAt",
    "endedAt",
    "detailRef",
    "promptRef",
    "decisionProjection",
}


def compact_execution_view(view: dict[str, Any]) -> dict[str, Any]:
    """Return the card-level V8 payload used by the main canvas.

    Inspector blocks, evaluator bodies and raw runtime previews remain available
    through the round/activity endpoints.  Keeping this boundary here prevents
    the browser from downloading the same large report once per card.
    """

    compact = deepcopy(view)
    _strip_decision_details(compact)
    for round_ in compact.get("rounds") or []:
        for branch in round_.get("branches") or []:
            branch["dataDecisions"] = [
                {
                    "id": item.get("id"),
                    "node": item.get("node"),
                }
                for item in branch.get("dataDecisions") or []
                if isinstance(item, dict)
            ]
        for batch in round_.get("convergenceBatches") or []:
            review = batch.get("review")
            if isinstance(review, dict):
                batch["review"] = {
                    key: value for key, value in review.items() if key in _REVIEW_KEYS
                }
    return compact


def _strip_decision_details(value: Any) -> None:
    if isinstance(value, dict):
        if value.get("semanticKind") == "decision":
            value.pop("detail", None)
        value.pop("inputPreview", None)
        value.pop("outputPreview", None)
        value.pop("agentType", None)
        for child in value.values():
            _strip_decision_details(child)
        return
    if isinstance(value, list):
        for child in value:
            _strip_decision_details(child)