"""模型能力档案: 不同模型的参数差异都收敛到 yaml,加新模型不用改代码。"""
from __future__ import annotations

from dataclasses import dataclass, field, fields
from pathlib import Path
from typing import List

import yaml


@dataclass
class ModelCapabilities:
    model_id: str = ""
    family: str = ""
    variant: str = ""
    display_name: str = ""  # UI 展示用,如 "DeepSeek V4 Flash";空时前端 fallback 拼 family.variant

    # 上下文
    max_context: int = 128_000
    reliable_context: int = 64_000
    max_output: int = 4096

    # Tool calling
    parallel_tools: bool = False
    tool_calling_quality: str = "good"

    # 思考模式
    thinking_mode: bool = False
    reasoning_effort_levels: List[str] = field(default_factory=list)
    default_reasoning_effort: str = ""

    # 代码 / 沙盒
    code_quality: str = "good"
    enable_run_python: bool = False

    # 工程参数
    max_iterations: int = 50
    optimal_temperature: float = 0.3

    # provider 特性
    prompt_caching: bool = False
    extended_thinking: bool = False

    # API 接入
    api_base: str = ""
    api_key_env: str = ""

    @classmethod
    def load(cls, name: str, models_dir: Path) -> "ModelCapabilities":
        """name: '<family>.<variant>',如 'deepseek_v4.flash'。"""
        if "." in name:
            family, variant = name.split(".", 1)
        else:
            family, variant = name, "default"

        path = Path(models_dir) / f"{family}.yaml"
        if not path.exists():
            raise FileNotFoundError(f"模型档案不存在: {path}")

        data = yaml.safe_load(path.read_text(encoding="utf-8")) or {}
        variants = data.get("variants", {})
        if variant not in variants:
            raise ValueError(
                f"档案 {path} 没有 variant={variant};可选: {list(variants)}"
            )

        var = variants[variant]
        valid_keys = {f.name for f in fields(cls)}
        kwargs = {k: v for k, v in var.items() if k in valid_keys}
        kwargs["family"] = data.get("family", family)
        kwargs["variant"] = variant
        return cls(**kwargs)