mini-openclaw-v2/backend/services/review_plan.py

"""T06-a 方案维度解析：去重、刻度冲突与呈现判定。

依据：docs/v2/14-experience-loop.md §5、03-detailed-design.md §9.2；
BR-28 / E-20 / AC-29 / AC-44。

三条不可妥协的规则：
1. **同 ID 必须语义一致**：标签、量纲（scale_id/version）、刻度层级任一不同即
   **拒绝合并**并报冲突，绝不让模型临时猜一个（BR-28）。相同定义只保留一份。
2. **异刻度不强行归一化**：不同刻度的维度不得共用雷达，改为分面展示（14 §5）。
3. **不默默丢失关键项**：呈现判定返回的 radar / listed / hard_block 三组并集
   必须等于全部维度；任何维度都要出现在某一组里（AC-44）。
"""

from __future__ import annotations

from contracts.prescreen import DimensionSpec
from services import assistant_store as store
from services import component_registry as registry

RADAR_MIN, RADAR_MAX = 3, 8

EMPTY_REASON = "当前方案尚未配置核查维度"
FACETED_REASON = "维度刻度不一致，分面展示；不强行归一化，避免误导读者比较不可比的量"
RADAR_REASON = "同一刻度且 3–8 维，可用雷达并附等价文字列表"
FEW_REASON = "少于 3 维，用状态条/列表比雷达更清楚"
MANY_REASON = "多于 8 维，雷达会不可读，改为分组/列表且全部维度仍可查看"


def _definition(spec: dict) -> tuple:
    """判据：标签 + 刻度标识/版本 + 层级内容。任一不同即视为不同定义。"""
    return (
        str(spec.get("label", "")),
        str(spec.get("scale_id", "")),
        str(spec.get("scale_version", "")),
        tuple((level.get("value"), level.get("label"), level.get("criterion"))
              for level in spec.get("levels", [])),
    )


def _validate(spec: dict) -> dict:
    try:
        return DimensionSpec(**spec).model_dump(mode="json")
    except Exception as exc:
        raise ValueError(f"维度不合法：{exc}") from exc


def resolve_dimensions(specs) -> list[dict]:
    """按 dimension_id 合并；同 ID 不同定义 → 冲突拒绝（AC-29 / E-20）。

    返回按 order 稳定排序后的维度列表，**同一定义只出现一次**。
    """
    merged: dict[str, dict] = {}
    for raw in specs or ():
        spec = _validate(raw)
        existing = merged.get(spec["id"])
        if existing is None:
            merged[spec["id"]] = spec
            continue
        if _definition(existing) != _definition(spec):
            raise ValueError(
                f"维度 {spec['id']} 存在不一致定义（标签/刻度/层级不同），请统一后保存方案；"
                "不得由程序或模型临时选择其一"
            )
        # 完全相同的定义：合并引用，避免重复计数（14 §5）
        references = {ref["id"]: ref for ref in existing["component_refs"]}
        for ref in spec["component_refs"]:
            references.setdefault(ref["id"], ref)
        existing["component_refs"] = list(references.values())
        existing["required"] = existing["required"] or spec["required"]
    return sorted(merged.values(), key=lambda item: (item["order"], item["id"]))


def is_single_scale(dimensions) -> bool:
    """全部维度是否共用同一可解释刻度（可比性前提）。"""
    return len({(d["scale_id"], d["scale_version"]) for d in dimensions}) <= 1


def presentation(dimensions, hard_block_ids=()) -> dict:
    """AC-44 的呈现判定：雷达 / 列表 / 分组 / 分面 / 空。

    硬阻断维度**单列**，不参与雷达面积（14 §5：不被平均数或面积覆盖）。
    """
    ids = [item["id"] for item in dimensions]
    if not dimensions:
        return {"layout": "empty", "reason": EMPTY_REASON,
                "radar_ids": [], "listed_ids": [], "hard_block_ids": []}

    blocks = [item_id for item_id in ids if item_id in set(hard_block_ids)]
    remaining = [item_id for item_id in ids if item_id not in set(blocks)]

    if not is_single_scale(dimensions):
        return {"layout": "faceted", "reason": FACETED_REASON,
                "radar_ids": [], "listed_ids": remaining, "hard_block_ids": blocks}

    count = len(remaining)
    if count < RADAR_MIN:
        layout, reason, radar = "list", FEW_REASON, []
    elif count > RADAR_MAX:
        layout, reason, radar = "grouped", MANY_REASON, []
    else:
        layout, reason, radar = "radar", RADAR_REASON, remaining
    listed = [item_id for item_id in remaining if item_id not in set(radar)]
    return {"layout": layout, "reason": reason,
            "radar_ids": radar, "listed_ids": listed, "hard_block_ids": blocks}


def assert_nothing_dropped(result: dict, dimensions) -> None:
    """呈现判定不得丢失任何维度（AC-44：不默默丢失关键项）。"""
    shown = set(result["radar_ids"]) | set(result["listed_ids"]) | set(result["hard_block_ids"])
    expected = {item["id"] for item in dimensions}
    missing = expected - shown
    if missing:
        raise ValueError(f"呈现判定丢失了维度：{sorted(missing)}")
    if shown - expected:
        raise ValueError(f"呈现判定出现了未知维度：{sorted(shown - expected)}")


# ---------------------------------------------------------------- 方案装配（T06-b）
# 依赖不可用时的统一文案（对应 E-19 PLAN_DEPENDENCY_INVALID）。
DEPENDENCY_INVALID = "评审方案存在不可用组件，请更新后重新发起；不暴露无权组件"
REF_GROUPS = ("skills", "rules", "template", "cards")


def _unusable(db, component_id: str) -> str | None:
    """返回不可用原因；可用则 None。

    只用**已发布指针**（release）判定：草稿、已撤回、从未发布的组件都没有 release 行，
    因此天然被排除——这正是"草稿或已撤回组件不得进入新运行"（BR-27）的机械表达。
    """
    try:
        pointer = store.get(db, "release", component_id)
    except KeyError:
        return "尚未发布或已撤回"
    try:
        version = store.get(db, "component_version", pointer["version_id"])
    except KeyError:
        return "发布指针指向的版本不存在"
    if version.get("status") != "published":
        return f'版本状态为 {version.get("status")}'
    return None


def check_dependencies(db, plan: dict) -> None:
    """装配前预检：逐个说明**哪个**依赖不可用，而不是抛裸 KeyError。

    裸 KeyError 会被 translate() 映射成 404，用户看到"对象不存在"，无法定位是哪一项。
    """
    problems = []
    for group in REF_GROUPS:
        keys = plan.get(group) if group != "template" else [plan.get("template")]
        for key in [item for item in (keys or []) if item]:
            reason = _unusable(db, key)
            if reason:
                problems.append(f"{group}:{key}（{reason}）")
    if problems:
        raise ValueError(f"{DEPENDENCY_INVALID}；不可用依赖：{'、'.join(sorted(problems))}")


def assemble(db, plan_id: str, legacy_catalog=None) -> dict:
    """装配并冻结一个评审方案。

    不重复实现冻结：解析、原生方法文本冻结、循环依赖与输出冲突检查、数据域一致性、
    content_hash 全部委托 `component_registry.freeze()`。本函数只加两件事：
    1. 依赖预检，给出可定位的 E-19 文案（而非 404 的"对象不存在"）
    2. 维度解析与呈现判定（T06-a），并保证维度不丢失
    """
    reason = _unusable(db, plan_id)
    if reason:
        raise ValueError(f"评审方案不可用（{reason}）；{DEPENDENCY_INVALID}")

    published_plan = registry.resolve(db, plan_id)
    if published_plan.get("kind") != "plan":
        raise ValueError("所选组件不是业务评审方案")
    check_dependencies(db, published_plan)

    frozen = registry.freeze(db, plan_id, legacy_catalog)
    dimensions = resolve_dimensions(published_plan.get("dimensions", []))
    result = presentation(dimensions)
    assert_nothing_dropped(result, dimensions)

    frozen["dimensions"] = dimensions
    frozen["presentation"] = result
    return frozen