更新记录

1.0.0（2024-04-07） 下载此版本

1.0.0 版本

平台兼容性

ylf-poster

使用json数据生成海报，支持动态数据

文档

1. 模版JSON化
2. 支持动态数据
3. 支持矩形、圆形、图片、文字
4. 图片支持远程图片、本地图片、base64格式的图片数据
5. 图形背景支持普通颜色、渐变色、图片
6. 文字支持设置行高、超出自动换行或展示省略号或截断、可调整字号大小、粗细、字间距

注意项

1. 仅支持2d类型的canvas元素
2. 离屏canvas在安卓上存在兼容问题，慎用
3. 目前仅支持微信小程序，后续会支持H5，其他平台未进行测试

配置

Demo

poster.vue 页面

<template>
    <view style="height: 100vh;display: flex;align-items: center;justify-content: center;">
        <image
            v-if="imageData"
            :src="imageData"
            mode="widthFix"
            style="width: 100vw;"
            show-menu-by-longpress
        ></image>
        <canvas
            canvas-id="myCanvas"
            id="myCanvas"
            type="2d"
            style="position: fixed;top: -9999px;left: -9999px;"
            :style="{width: width + 'px', height: height + 'px'}"
        >
        </canvas>
    </view>
</template>

<script>
    import { createPoster } from '@/uni_modules/ylf-poster/js_sdk'
    const posterTemplate = require('./template.json')
    const posterData = require('./data.json')
    export default {
        data() {
            return {
                width: 305,
                height: 542,
                imageData: ""
            }
        },
        methods: {
            queryNode(selector) {
                return new Promise((resolve, reject) => {
                  uni.createSelectorQuery()
                    .in(this)
                    .select(selector)
                    .fields({
                      node: true,
                      size: true
                    })
                    .exec((res) => {
                      if (res.length === 0) {
                        reject(res);
                      } else {
                        resolve(res[0]);
                      }
                    });
                })
            },
            async generatePoster() {
                try {
                    const {
                        node,
                        width,
                        height
                    } = await this.queryNode('#myCanvas')
                    const poster = createPoster({
                        canvas: node,
                        width,
                        height,
                        scale: uni.getDeviceInfo().devicePixelRatio,
                        template: posterTemplate,
                        data: posterData
                    })
                    await poster.draw()
                    this.imageData = poster.canvas.toDataURL()
                } catch (e) {
                    //TODO handle the exception
                    console.error(e);
                }
            }
        },
        mounted() {
            this.generatePoster()
        }
    }
</script>

<style>

</style>

template.json 海报模版

{
  "name": "这是一张海报模版",
  "description": "这是一张海报模版的描述",
  "version": "1.0.0",
  "width": 305,
  "height": 542,
  "data": [
    {
      "name": "posterBg",
      "type": "rect",
      "x": 0,
      "y": 0,
      "width": 305,
      "height": 542,
      "fill": "{{bgImage}}"
    },
    {
      "name": "authorImage",
      "type": "circle",
      "x": 24,
      "y": 24,
      "r": 32,
      "fill": "{{authorPhoto}}"
    },
    {
      "name": "motto",
      "type": "text",
      "x": 100,
      "y": 32,
      "width": 192,
      "height": "auto",
      "lineHeight": 22,
      "text": "{{motto}}",
      "color": "#333",
      "fontSize": 14,
      "letterSpacing": 0,
      "textAlign": "left"
    },
    {
      "name": "author",
      "type": "text",
      "x": 24,
      "y": 90,
      "width": 256,
      "height": 24,
      "lineHeight": 24,
      "text": "---- {{author}}",
      "color": "#333",
      "fontSize": 14,
      "letterSpacing": 0,
      "textAlign": "right",
      "textOverflow": "hidden"
    },
    {
      "name": "bookCover",
      "type": "rect",
      "x": 22,
      "y": 150,
      "width": 260,
      "height": 146,
      "cornerRadius": "10 10 0 0",
      "fill": "{{bookCover}}"
    },
    {
      "name": "bookName",
      "type": "text",
      "x": 32,
      "y": 310,
      "width": 242,
      "height": 20,
      "lineHeight": 20,
      "text": "{{bookName}}",
      "color": "#000",
      "fontSize": 14,
      "letterSpacing": 2,
      "textAlign": "left",
      "textOverflow": "ellipsis"
    },
    {
      "name": "qrCode",
      "type": "rect",
      "x": 215,
      "y": 425,
      "width": 70,
      "height": 70,
      "fill": "{{qrCodeImage}}"
    },
    {
      "name": "scanQrCodeTipBg",
      "type": "rect",
      "x": 206,
      "y": 507,
      "width": 86,
      "height": 16,
      "cornerRadius": "8",
      "fill": "linear-gradient(90deg, #FCDB75 0%, #FEEBA9 100%)"
    },
    {
      "name": "tip",
      "type": "text",
      "x": 206,
      "y": 507,
      "width": 86,
      "height": "auto",
      "lineHeight": 16,
      "fontSize": 9,
      "fontWeight": 300,
      "letterSpacing": 0,
      "textAlign": "center",
      "textOverflow": "ellipsis",
      "color": "#666",
      "text": "长按扫码查看详情"
    }
  ]
}

data.json 动态数据

{
    "bgImage": "https://img2.baidu.com/it/u=1745046538,442298702&fm=253&fmt=auto&app=138&f=JPEG?w=305&h=540",
    "authorPhoto": "https://www.meihua.pro/uploads/allimg/20230520/1684573615697_26.jpg",
    "author": "亚里士多德",
    "motto": "人生最终的价值在于觉醒和思考的能力，而不只在于生存。",
    "bookCover": "https://www.mianfeiwendang.com/pic/a229a878f5c172c3e519a62093153d79e89449c4/1-810-jpg_6-1440-0-0-1440.jpg",
    "bookName": "《觉历史之艰辛，醒现世之繁华》",
    "currency": "$",
    "price": "99",
    "qrCodeImage": 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"
}

后续规划

• 支持line类型
• 支持H5