"use strict";
const common_vendor = require("./vendor.js");
const getFileSize = async (filePath) => {
  try {
    const res = await new Promise((resolve, reject) => {
      common_vendor.wx$1.getFileSystemManager().getFileInfo({
        filePath,
        success: resolve,
        fail: reject
      });
    });
    return res.size || Infinity;
  } catch (err) {
    common_vendor.index.__f__("error", "at common/utils.js:34", "获取文件大小失败:", err);
    return Infinity;
  }
};
const doCompressImage = (src, quality) => {
  return new Promise((resolve) => {
    common_vendor.index.compressImage({
      src,
      quality,
      success: (res) => resolve(res.tempFilePath),
      fail: () => resolve(src)
      // 失败返回原路径
    });
  });
};
const preciseCompress = async (tempFilePath, targetSize = 500 * 1024, initialQuality = 85) => {
  let quality = initialQuality;
  let compressedPath = tempFilePath;
  let currentSize = Infinity;
  let iterations = 0;
  const maxIterations = 10;
  const history = [];
  const originalSize = await getFileSize(tempFilePath);
  if (originalSize <= targetSize) {
    return { path: tempFilePath, quality: 100, iterations: 0, finalSize: originalSize };
  }
  const predictQualityRange = (originalSize2, targetSize2) => {
    const ratio = targetSize2 / originalSize2;
    if (ratio > 0.8)
      return { low: 70, high: 95 };
    if (ratio > 0.5)
      return { low: 45, high: 75 };
    if (ratio > 0.3)
      return { low: 25, high: 50 };
    if (ratio > 0.1)
      return { low: 10, high: 30 };
    return { low: 5, high: 15 };
  };
  const { low: predictedLow, high: predictedHigh } = predictQualityRange(originalSize, targetSize);
  let low = predictedLow;
  let high = Math.min(predictedHigh, initialQuality);
  common_vendor.index.__f__("log", "at common/utils.js:132", `预测质量范围: ${low}-${high} (原图${(originalSize / 1024).toFixed(2)}KB → 目标${(targetSize / 1024).toFixed(2)}KB)`);
  const adjustBounds = (currentQuality, currentSize2, targetSize2) => {
    const sizeRatio = currentSize2 / targetSize2;
    const qualityDelta = Math.max(2, Math.floor(currentQuality * 0.1));
    if (sizeRatio > 2.5) {
      return { lowDelta: -qualityDelta * 2, highDelta: -qualityDelta };
    } else if (sizeRatio > 1.5) {
      return { lowDelta: -qualityDelta, highDelta: -Math.floor(qualityDelta / 2) };
    } else if (sizeRatio > 1.1) {
      return { lowDelta: -3, highDelta: -1 };
    } else {
      return { lowDelta: -1, highDelta: 0 };
    }
  };
  let bestResult = null;
  while (iterations < maxIterations && low <= high) {
    iterations++;
    quality = Math.floor((low + high) / 2);
    if (history.some((item) => item.quality === quality)) {
      break;
    }
    compressedPath = await doCompressImage(tempFilePath, quality);
    currentSize = await getFileSize(compressedPath);
    history.push({ quality, size: currentSize });
    common_vendor.index.__f__("log", "at common/utils.js:165", `第${iterations}次尝试: quality=${quality} → ${(currentSize / 1024).toFixed(2)}KB (目标${(targetSize / 1024).toFixed(2)}KB)`);
    if (!bestResult || Math.abs(currentSize - targetSize) < Math.abs(bestResult.size - targetSize)) {
      bestResult = { quality, size: currentSize, path: compressedPath };
    }
    if (Math.abs(currentSize - targetSize) < targetSize * 0.03) {
      common_vendor.index.__f__("log", "at common/utils.js:174", "✅ 达到精准匹配，提前结束");
      break;
    }
    if (currentSize > targetSize) {
      const { lowDelta, highDelta } = adjustBounds(quality, currentSize, targetSize);
      high = Math.max(5, quality + highDelta);
    } else {
      low = quality + 1;
    }
    if (high - low <= 1)
      break;
  }
  if (bestResult && bestResult.size > targetSize * 1.1) {
    common_vendor.index.__f__("log", "at common/utils.js:191", "🔥 尝试极限压缩...");
    const extremePath = await doCompressImage(tempFilePath, 5);
    const extremeSize = await getFileSize(extremePath);
    common_vendor.index.__f__("log", "at common/utils.js:194", `极限压缩结果: quality=5 → ${(extremeSize / 1024).toFixed(2)}KB`);
    if (extremeSize < bestResult.size) {
      bestResult = { quality: 5, size: extremeSize, path: extremePath };
    }
  }
  const finalResult = bestResult || { quality: 10, size: currentSize, path: compressedPath };
  common_vendor.index.__f__("log", "at common/utils.js:203", `🎯 最终结果：quality=${finalResult.quality} → ${(finalResult.size / 1024).toFixed(2)}KB（迭代${iterations}次，压缩率${((1 - finalResult.size / originalSize) * 100).toFixed(1)}%）`);
  return {
    path: finalResult.path,
    quality: finalResult.quality,
    iterations,
    finalSize: finalResult.size
  };
};
const imageToBase64 = (filePath) => {
  return new Promise((resolve, reject) => {
    common_vendor.index.getImageInfo({
      src: filePath,
      success: (info) => {
        const type = info.type || "jpeg";
        common_vendor.index.getFileSystemManager().readFile({
          filePath,
          encoding: "base64",
          success: (res) => resolve(`data:image/${type};base64,${res.data}`),
          fail: reject
        });
      },
      fail: () => {
        common_vendor.index.getFileSystemManager().readFile({
          filePath,
          encoding: "base64",
          success: (res) => resolve(`data:image/jpeg;base64,${res.data}`),
          fail: reject
        });
      }
    });
  });
};
const processImage = async (maxSize = 500 * 1024) => {
  const chooseRes = await new Promise((resolve) => {
    common_vendor.index.chooseImage({
      count: 1,
      sizeType: ["original", "compressed"],
      success: resolve,
      fail: () => resolve(null)
    });
  });
  if (!chooseRes)
    throw new Error("选择图片失败");
  const tempFilePath = chooseRes.tempFilePaths[0];
  let finalPath = tempFilePath;
  let isCompressed = false;
  const fileSize = await getFileSize(tempFilePath);
  common_vendor.index.__f__("log", "at common/utils.js:272", `原图大小: ${(fileSize / 1024).toFixed(2)}KB`);
  if (fileSize > maxSize) {
    common_vendor.index.__f__("log", "at common/utils.js:276", "🔄 开始智能压缩...");
    const compressResult = await preciseCompress(tempFilePath, maxSize);
    finalPath = compressResult.path;
    isCompressed = true;
    common_vendor.index.__f__("log", "at common/utils.js:282", `✅ 压缩完成: ${(fileSize / 1024).toFixed(2)}KB → ${(compressResult.finalSize / 1024).toFixed(2)}KB (节省${((1 - compressResult.finalSize / fileSize) * 100).toFixed(1)}%)`);
  }
  const base64 = await imageToBase64(finalPath);
  common_vendor.index.__f__("log", "at common/utils.js:288", `📄 Base64长度: ${base64.length} 字符`);
  return {
    base64,
    // Base64字符串
    path: finalPath,
    // 最终文件路径（可能是原图或压缩图）
    compressed: isCompressed
    // 是否经过压缩
  };
};
exports.processImage = processImage;
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