"""Position-anchored dimension weights for deterministic gap evaluation."""

from __future__ import annotations


_OPTIONAL_DIM_DEFAULTS = {
    "project_context": 1,
    "business_context": 1,
    "academic_result": 1,
    "project_or_activity": 1,
    "team_scope": 1,
    "organization_scope": 1,
}

_WEIGHT_TABLE: dict[str, dict[str, int]] = {
    "tech": {
        "personal_contribution": 3,
        "responsibility_scope": 2,
        "method_or_technology": 3,
        "business_action": 1,
        "outcome_or_delivery": 2,
        "quantified_outcome": 2,
        "coursework_or_practice": 2,
        "relevant_capability": 2,
        "work_or_solution": 3,
        "activity_execution": 1,
        "collaboration_scope": 1,
        **_OPTIONAL_DIM_DEFAULTS,
    },
    "data": {
        "personal_contribution": 2,
        "responsibility_scope": 2,
        "method_or_technology": 3,
        "business_action": 2,
        "outcome_or_delivery": 2,
        "quantified_outcome": 3,
        "coursework_or_practice": 2,
        "relevant_capability": 2,
        "work_or_solution": 2,
        "activity_execution": 1,
        "collaboration_scope": 1,
        **_OPTIONAL_DIM_DEFAULTS,
    },
    "product": {
        "personal_contribution": 3,
        "responsibility_scope": 2,
        "method_or_technology": 1,
        "business_action": 3,
        "outcome_or_delivery": 3,
        "quantified_outcome": 2,
        "coursework_or_practice": 1,
        "relevant_capability": 2,
        "work_or_solution": 2,
        "activity_execution": 2,
        "collaboration_scope": 3,
        **{**_OPTIONAL_DIM_DEFAULTS, "business_context": 2},
    },
    "design": {
        "personal_contribution": 3,
        "responsibility_scope": 2,
        "method_or_technology": 2,
        "business_action": 1,
        "outcome_or_delivery": 3,
        "quantified_outcome": 1,
        "coursework_or_practice": 2,
        "relevant_capability": 2,
        "work_or_solution": 2,
        "activity_execution": 1,
        "collaboration_scope": 2,
        **_OPTIONAL_DIM_DEFAULTS,
    },
    "business": {
        "personal_contribution": 2,
        "responsibility_scope": 3,
        "method_or_technology": 1,
        "business_action": 3,
        "outcome_or_delivery": 3,
        "quantified_outcome": 2,
        "coursework_or_practice": 1,
        "relevant_capability": 2,
        "work_or_solution": 1,
        "activity_execution": 2,
        "collaboration_scope": 3,
        **{**_OPTIONAL_DIM_DEFAULTS, "business_context": 2},
    },
    "default": {
        "personal_contribution": 2,
        "responsibility_scope": 2,
        "method_or_technology": 2,
        "business_action": 2,
        "outcome_or_delivery": 2,
        "quantified_outcome": 2,
        "coursework_or_practice": 1,
        "relevant_capability": 1,
        "work_or_solution": 2,
        "activity_execution": 1,
        "collaboration_scope": 1,
        **_OPTIONAL_DIM_DEFAULTS,
    },
}

_ALIASES: dict[str, str] = {
    "后端": "tech",
    "前端": "tech",
    "工程师": "tech",
    "开发": "tech",
    "算法": "tech",
    "测试": "tech",
    "运维": "tech",
    "数据": "data",
    "分析师": "data",
    "bi": "data",
    "产品": "product",
    "运营": "product",
    "增长": "product",
    "设计": "design",
    "ui": "design",
    "ux": "design",
    "视觉": "design",
    "市场": "business",
    "销售": "business",
    "财务": "business",
    "审计": "business",
    "人力": "business",
    "行政": "business",
    "客户成功": "business",
    "咨询": "business",
}


def position_family(target_position: str | None) -> str:
    """Return the deterministic rubric family for a confirmed target position."""
    text = str(target_position or "").strip().casefold()
    if not text:
        return "default"
    for keyword, family in _ALIASES.items():
        if keyword in text:
            return family
    return "default"


def dimension_weights(target_position: str | None) -> dict[str, int]:
    """Return a copy so callers cannot mutate the module-level weight matrix."""
    return dict(_WEIGHT_TABLE[position_family(target_position)])