347 lines
11 KiB
JavaScript
347 lines
11 KiB
JavaScript
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export class ServiceManager {
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constructor() {
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this.availableSlots = {}
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this.serviceDurations = {}
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this.blockedTimes = {}
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}
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// 设置工作日工作时间
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setWorkingHours(day, startTime, endTime) {
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if (!this.availableSlots[day]) {
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this.availableSlots[day] = []
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}
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this.availableSlots[day].push([startTime, endTime])
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}
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// 添加服务
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addService(serviceName, durationMinutes) {
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this.serviceDurations[serviceName] = durationMinutes
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}
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// 添加不可预约时间
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addBlockedTime(day, startTime, endTime) {
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if (!this.blockedTimes[day]) {
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this.blockedTimes[day] = []
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}
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this.blockedTimes[day].push([startTime, endTime])
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}
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// 获取可用时间段
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getAvailableSlots(day, serviceName, existingAppointments = []) {
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const duration = this.serviceDurations[serviceName]
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if (!duration) throw new Error('服务不存在')
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const available = this.availableSlots[day] || []
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const blocked = this.blockedTimes[day] || []
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const allUnavailable = [...existingAppointments, ...blocked]
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// 合并重叠的不可用时间段
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allUnavailable.sort((a, b) => this.compareTime(a[0], b[0]))
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const mergedUnavailable = []
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for (const [start, end] of allUnavailable) {
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if (mergedUnavailable.length === 0) {
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mergedUnavailable.push([start, end])
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} else {
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const [lastStart, lastEnd] = mergedUnavailable[mergedUnavailable.length - 1]
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if (this.compareTime(start, lastEnd) <= 0) {
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const newEnd = this.compareTime(end, lastEnd) > 0 ? end : lastEnd
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mergedUnavailable[mergedUnavailable.length - 1][1] = newEnd
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} else {
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mergedUnavailable.push([start, end])
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}
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}
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}
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// 计算最终可用时间段
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const finalAvailable = []
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for (const [workStart, workEnd] of available) {
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let currentStart = workStart
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for (const [busyStart, busyEnd] of mergedUnavailable) {
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if (this.compareTime(busyEnd, currentStart) <= 0) continue
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if (this.compareTime(busyStart, workEnd) >= 0) break
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if (this.compareTime(currentStart, busyStart) < 0) {
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const slotEnd = this.compareTime(busyStart, workEnd) < 0 ? busyStart : workEnd
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finalAvailable.push([currentStart, slotEnd])
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}
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currentStart = this.compareTime(busyEnd, workEnd) < 0 ? busyEnd : workEnd
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}
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if (this.compareTime(currentStart, workEnd) < 0) {
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finalAvailable.push([currentStart, workEnd])
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}
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}
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// 返回足够时长的时段
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return finalAvailable.filter(([start, end]) => {
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return this.timeDiffInMinutes(start, end) >= duration
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})
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}
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// 时间比较方法
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compareTime(time1, time2) {
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const [h1, m1] = time1.split(':').map(Number)
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const [h2, m2] = time2.split(':').map(Number)
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if (h1 !== h2) return h1 - h2
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return m1 - m2
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}
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// 计算时间差(分钟)
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timeDiffInMinutes(start, end) {
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const [h1, m1] = start.split(':').map(Number)
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const [h2, m2] = end.split(':').map(Number)
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return (h2 * 60 + m2) - (h1 * 60 + m1)
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}
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}
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//oss压缩图片
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export function handleImgSize(url, maxSizekb = 20, minRatioo = 0.01) {
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return new Promise((resolve, reject) => {
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// 1. 处理URL：移除已有的OSS处理参数，避免重复叠加
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const [originalUrl, existingParams] = url.split('?');
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const baseUrl = originalUrl; // 原始图片地址（无处理参数）
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// 2. 下载原始图片，获取真实体积
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uni.downloadFile({
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url: baseUrl,
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success: (downloadRes) => {
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const tempFilePath = downloadRes.tempFilePath;
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if (!tempFilePath) {
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const error = new Error("下载失败，未获取到临时路径");
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console.error(error);
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reject(error);
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return;
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}
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// 3. 读取原始图片体积
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uni.getFileInfo({
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filePath: tempFilePath,
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success: (fileInfoRes) => {
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const fileSizeByte = fileInfoRes.size;
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const fileSizeKB = fileSizeByte / 1024;
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console.log(
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`原始体积：${fileSizeKB.toFixed(2)} KB | 限制体积：${maxSizekb} KB`
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);
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// 4. 若体积已达标，直接返回原URL（保留原有参数）
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if (fileSizeKB <= maxSizekb) {
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console.log("体积达标，无需压缩");
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const finalUrl = existingParams ?
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`${baseUrl}?${existingParams}` : baseUrl;
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resolve(finalUrl);
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return;
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}
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// 5. 核心修正：根据体积反推合理的尺寸压缩比例
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// 原理：体积 ≈ (尺寸比例k)² × 原体积 → k ≈ √(目标体积/原体积)
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const targetRatio = maxSizekb / fileSizeKB; // 目标体积占原体积的比例
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let sizeRatio = Math.sqrt(targetRatio); // 推导的尺寸压缩比例（k）
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// 6. 限制尺寸比例下限（避免压缩过小导致模糊，可根据需求调整）
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const minSizeRatio = minRatioo; // 最小缩放到原尺寸的30%（p_30）
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if (sizeRatio < minSizeRatio) {
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sizeRatio = minSizeRatio;
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console.warn(`压缩比例过低，强制限制为${minSizeRatio}（避免模糊）`);
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}
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// 7. 转换为OSS的p参数（百分比，取整）
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const percentage = Math.round(sizeRatio * 100);
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console.log(`计算压缩参数：尺寸缩放到${percentage}%（p_${percentage}）`);
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// 8. 拼接最终URL（保留原有参数，叠加压缩参数）
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const ossParam = `x-oss-process=image/resize,p_${percentage}`;
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const finalUrl = existingParams ?
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`${baseUrl}?${existingParams}&${ossParam}` // 已有参数时用&拼接
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:
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`${baseUrl}?${ossParam}`; // 无参数时用?拼接
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resolve(finalUrl);
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},
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fail: (err) => {
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console.error("获取文件信息失败：", err);
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reject(err);
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}
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});
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},
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fail: (err) => {
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console.error("下载图片失败：", err);
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reject(err);
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}
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});
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});
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}
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//uniappy压缩图片
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// export function handleImgSizeUni(url, maxSizekb = 128, minRatioo = 0.01) {
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// return new Promise((resolve, reject) => {
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// uni.getSavedFileInfo({
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// filePath: url, //仅做示例用，非真正的文件路径
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// success: function(fileInfoRes) {
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// console.log(11111111,fileInfoRes)
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// const fileSizeByte = fileInfoRes.size;
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// const fileSizeKB = fileSizeByte / 1024;
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// console.log(`原始体积：${fileSizeKB.toFixed(2)} KB`);
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// if (fileSizeKB <= maxSizekb) {
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// console.log("体积达标，无需压缩");
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// resolve(url);
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// return;
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// }
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// // 5. 核心修正：根据体积反推合理的尺寸压缩比例
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// // 原理：体积 ≈ (尺寸比例k)² × 原体积 → k ≈ √(目标体积/原体积)
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// const targetRatio = maxSizekb / fileSizeKB; // 目标体积占原体积的比例
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// let sizeRatio = Math.sqrt(targetRatio); // 推导的尺寸压缩比例（k）
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// // 6. 限制尺寸比例下限（避免压缩过小导致模糊，可根据需求调整）
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// const minSizeRatio = minRatioo; // 最小缩放到原尺寸的30%（p_30）
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// if (sizeRatio < minSizeRatio) {
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// sizeRatio = minSizeRatio;
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// console.warn(`压缩比例过低，强制限制为${minSizeRatio}（避免模糊）`);
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// }
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// const percentage = (Math.floor(sizeRatio * 10000) / 100) + '%';
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// console.log("percentage：",percentage);
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// uni.compressImage({
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// src: url,
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// quality: 74,
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// width: percentage,
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// height: percentage,
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// success: res2 => {
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// console.log(res2.tempFilePath)
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// uni.getSavedFileInfo({
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// filePath: res2.tempFilePath, //仅做示例用，非真正的文件路径
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// success: function (res3) {
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// const fileSizeByte2 = res3.size;
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// const fileSizeKB2 = fileSizeByte2 / 1024;
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// console.log(`现在体积：${fileSizeKB2.toFixed(2)} KB`);
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// }
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// });
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// resolve(res2.tempFilePath);
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// },
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// fail: (err) => {
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// console.error("图片压缩失败：", err);
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// reject(err);
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// }
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// })
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// },
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// fail: (err) => {
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// console.error("获取文件信息失败：", err);
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// reject(err);
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// }
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// });
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// });
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// }
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export function handleImgSizeUni(url, maxSizekb = 30, minWidth = 20, minHeight = 20) {
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console.log(url)
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return new Promise((resolve, reject) => {
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// 1. 获取图片基本信息（大小、宽高）
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Promise.all([
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// 获取文件大小
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new Promise((res, rej) => {
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uni.getFileInfo({
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filePath: url,
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success: res,
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fail: rej
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});
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}),
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// 获取图片宽高
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new Promise((res, rej) => {
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uni.getImageInfo({
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src: url,
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success: res,
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fail: rej
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});
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})
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]).then(([fileInfo, imgInfo]) => {
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console.log(`imgInfo：`,imgInfo);
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const fileSizeKB = fileInfo.size / 1024;
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console.log(`原始体积：${fileSizeKB.toFixed(2)} KB，原始尺寸：${imgInfo.width}x${imgInfo.height}`);
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// 2. 体积达标直接返回
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if (fileSizeKB <= maxSizekb) {
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console.log("体积达标，无需压缩");
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resolve(url);
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return;
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}
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// 3. 压缩参数初始化（优先质量调整）
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let quality = 70; // 初始高质量
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let { width: originW, height: originH } = imgInfo;
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let scale = 1; // 尺寸缩放比例（1为不缩放）
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// 4. 循环调整参数直到体积达标（最多尝试5次，避免无限循环）
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const maxAttempts = 10;
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let attempts = 0;
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let tempFilePath ="";
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const compressLoop = () => {
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attempts++;
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if (attempts > maxAttempts) {
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console.warn("达到最大尝试次数，返回当前压缩结果",tempFilePath);
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resolve(tempFilePath);
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return;
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}
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// 计算当前缩放后的尺寸（保持比例）
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const currentW = Math.max(originW * scale, minWidth); // 不小于最小宽度
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const currentH = Math.max(originH * scale, minHeight); // 不小于最小高度
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// 执行压缩
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uni.compressImage({
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src: url,
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quality, // 质量参数（0-100，越高越清晰）
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width: currentW, // 具体像素值，避免百分比误差
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height: currentH,
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success: (res) => {
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// 检查压缩后体积
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uni.getFileInfo({
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filePath: res.tempFilePath,
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success: (compressedFile) => {
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const compressedKB = compressedFile.size / 1024;
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console.log(`第${attempts}次压缩：质量=${quality}，尺寸=${currentW}x${currentH}，体积=${compressedKB.toFixed(2)} KB`);
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tempFilePath = res.tempFilePath
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if (compressedKB <= maxSizekb) {
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// 体积达标，返回结果
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resolve(res.tempFilePath);
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} else {
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// 体积不达标，调整参数继续尝试
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if (quality > 20) {
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// 优先降质量（每次降10）
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quality -= 15;
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} else {
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// 质量较低时，再缩小尺寸（每次缩放到80%）
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scale *= 0.8;
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}
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compressLoop();
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}
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|||
|
|
},
|
|||
|
|
fail: (err) => {
|
|||
|
|
console.error("获取压缩后文件信息失败：", err);
|
|||
|
|
reject(err);
|
|||
|
|
}
|
|||
|
|
});
|
|||
|
|
},
|
|||
|
|
fail: (err) => {
|
|||
|
|
console.error("图片压缩失败：", err);
|
|||
|
|
reject(err);
|
|||
|
|
}
|
|||
|
|
});
|
|||
|
|
};
|
|||
|
|
|
|||
|
|
// 开始压缩循环
|
|||
|
|
compressLoop();
|
|||
|
|
}).catch((err) => {
|
|||
|
|
console.error("获取图片信息失败：", err);
|
|||
|
|
reject(err);
|
|||
|
|
});
|
|||
|
|
});
|
|||
|
|
}
|