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* ✨ feat!(ui): 重构图表组件架构，实现数据与样式分离 🏗️ **架构重构** - 移除charts.py中所有硬编码样式参数(grid、tooltip、legend等) - 将样式配置迁移至主题层style.json文件 - 统一图表模板消费样式文件的能力 📊 **图表组件优化** - bar_chart: 移除grid和坐标轴show参数 - pie_chart: 移除tooltip、legend样式和series视觉参数 - line_chart: 移除tooltip、grid和坐标轴配置 - radar_chart: 移除tooltip硬编码 🎨 **主题系统增强** - 新增pie_chart、line_chart、radar_chart的style.json配置 - 更新bar_chart/style.json，添加grid、xAxis、yAxis样式 - 所有图表模板支持deepMerge样式合并逻辑 🔧 **Breaking Changes** - 图表工厂函数不再接受样式参数 - 主题开发者现可通过style.json完全定制图表外观 - 提升组件可维护性和主题灵活性 * 📦️ build(pyinstaller): 引入 resources.spec 并更新 .gitignore 规则 * 🚨 auto fix by pre-commit hooks --------- Co-authored-by: webjoin111 <455457521@qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
96 lines
2.6 KiB
Python
96 lines
2.6 KiB
Python
"""
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Pydantic V1 & V2 兼容层模块
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为 Pydantic V1 与 V2 版本提供统一的便捷函数与类，
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包括 model_dump, model_copy, model_json_schema, parse_as 等。
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"""
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from typing import Any, TypeVar, get_args, get_origin
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from nonebot.compat import PYDANTIC_V2, model_dump
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from pydantic import VERSION, BaseModel
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T = TypeVar("T", bound=BaseModel)
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V = TypeVar("V")
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__all__ = [
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"PYDANTIC_V2",
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"_dump_pydantic_obj",
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"_is_pydantic_type",
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"compat_computed_field",
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"model_copy",
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"model_dump",
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"model_json_schema",
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"parse_as",
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]
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def model_copy(
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model: T, *, update: dict[str, Any] | None = None, deep: bool = False
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) -> T:
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"""
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Pydantic `model.copy()` (v1) 和 `model.model_copy()` (v2) 的兼容函数。
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"""
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if PYDANTIC_V2:
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return model.model_copy(update=update, deep=deep)
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else:
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update_dict = update or {}
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return model.copy(update=update_dict, deep=deep)
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if PYDANTIC_V2:
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from pydantic import computed_field as compat_computed_field
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else:
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compat_computed_field = property
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def model_json_schema(model_class: type[BaseModel], **kwargs: Any) -> dict[str, Any]:
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"""
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Pydantic `Model.schema()` (v1) 和 `Model.model_json_schema()` (v2) 的兼容函数。
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"""
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if PYDANTIC_V2:
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return model_class.model_json_schema(**kwargs)
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else:
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return model_class.schema(by_alias=kwargs.get("by_alias", True))
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def _is_pydantic_type(t: Any) -> bool:
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"""
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递归检查一个类型注解是否与 Pydantic BaseModel 相关。
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"""
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if t is None:
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return False
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origin = get_origin(t)
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if origin:
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return any(_is_pydantic_type(arg) for arg in get_args(t))
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return isinstance(t, type) and issubclass(t, BaseModel)
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def _dump_pydantic_obj(obj: Any) -> Any:
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"""
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递归地将一个对象内部的 Pydantic BaseModel 实例转换为字典。
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支持单个实例、实例列表、实例字典等情况。
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"""
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if isinstance(obj, BaseModel):
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return model_dump(obj)
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if isinstance(obj, list):
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return [_dump_pydantic_obj(item) for item in obj]
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if isinstance(obj, dict):
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return {key: _dump_pydantic_obj(value) for key, value in obj.items()}
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return obj
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def parse_as(type_: type[V], obj: Any) -> V:
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"""
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一个兼容 Pydantic V1 的 parse_obj_as 和V2的TypeAdapter.validate_python 的辅助函数。
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"""
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if VERSION.startswith("1"):
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from pydantic import parse_obj_as
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return parse_obj_as(type_, obj)
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else:
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from pydantic import TypeAdapter # type: ignore
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return TypeAdapter(type_).validate_python(obj)
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