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♻️ refactor: 统一图片渲染架构并引入通用UI组件系统 (#2019)
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* ♻️ refactor: 统一图片渲染架构并引入通用UI组件系统 🎨 **渲染服务重构** - 统一图片渲染入口,引入主题系统支持 - 优化Jinja2环境管理,支持主题覆盖和插件命名空间 - 新增UI缓存机制和主题重载功能 ✨ **通用UI组件系统** - 新增 zhenxun.ui 模块,提供数据模型和构建器 - 引入BaseBuilder基类,支持链式调用 - 新增多种UI构建器:InfoCard, Markdown, Table, Chart, Layout等 - 新增通用组件:Divider, Badge, ProgressBar, UserInfoBlock 🔄 **插件迁移** - 迁移9个内置插件至新渲染系统 - 移除各插件中分散的图片生成工具 - 优化数据处理和渲染逻辑 💥 **Breaking Changes** - 移除旧的图片渲染接口和模板路径 - TEMPLATE_PATH 更名为 THEMES_PATH - 插件需适配新的RendererService和zhenxun.ui模块 * ✅ test(check): 更新自检插件测试中的渲染服务模拟 * ♻️ refactor(renderer): 将缓存文件名哈希算法切换到 SHA256 * ♻️ refactor(shop): 移除商店HTML图片生成模块 * 🚨 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>
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webjoin111
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parent
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@@ -1,32 +1,31 @@
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import os
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from pathlib import Path
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import random
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from nonebot_plugin_htmlrender import template_to_pic
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from zhenxun.configs.path_config import TEMPLATE_PATH
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from zhenxun.services import renderer_service
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from zhenxun.utils._build_image import BuildImage
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from .models import Barh
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BACKGROUND_PATH = TEMPLATE_PATH / "bar_chart" / "background"
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BACKGROUND_PATH = (
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Path() / "resources" / "themes" / "default" / "assets" / "bar_chart" / "background"
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)
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class ChartUtils:
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@classmethod
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async def barh(cls, data: Barh) -> BuildImage:
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"""横向统计图"""
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to_json = data.to_dict()
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to_json["background_image"] = (
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f"./background/{random.choice(os.listdir(BACKGROUND_PATH))}"
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background_image_name = random.choice(os.listdir(BACKGROUND_PATH))
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render_data = {
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"title": data.title,
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"category_data": data.category_data,
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"data": data.data,
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"background_image": background_image_name,
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"direction": "horizontal",
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}
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image_bytes = await renderer_service.render(
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"components/charts/bar_chart", data=render_data
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)
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pic = await template_to_pic(
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template_path=str((TEMPLATE_PATH / "bar_chart").absolute()),
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template_name="main.html",
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templates={"data": to_json},
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pages={
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"viewport": {"width": 1000, "height": 1000},
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"base_url": f"file://{TEMPLATE_PATH}",
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},
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wait=2,
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)
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return BuildImage.open(pic)
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return BuildImage.open(image_bytes)
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