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@@ -1789,117 +1789,168 @@ public class TencentDocController extends BaseController {
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return AjaxResult.error("无法识别表头列,请确保表头包含'单号'和'物流单号'列");
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}
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// 读取数据行
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String dataRange = String.format("A%d:Z%d", startRow, endRow);
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log.info("读取数据范围: {}", dataRange);
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JSONObject dataResponse = tencentDocService.readSheetData(accessToken, fileId, sheetId, dataRange);
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if (dataResponse == null || !dataResponse.containsKey("values")) {
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return AjaxResult.error("读取数据失败");
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}
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JSONArray rows = dataResponse.getJSONArray("values");
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if (rows == null || rows.isEmpty()) {
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return AjaxResult.error("数据为空");
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}
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// 统计结果
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int successCount = 0;
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int skippedCount = 0;
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int errorCount = 0;
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// 处理每一行
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for (int rowIndex = 0; rowIndex < rows.size(); rowIndex++) {
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JSONArray row = rows.getJSONArray(rowIndex);
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if (row == null || row.size() <= Math.max(orderNoColumn, logisticsLinkColumn)) {
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skippedCount++;
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continue;
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}
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// 分批读取数据,每批200行(避免单次读取过多数据导致API限制)
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final int BATCH_SIZE = 200;
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int currentStartRow = startRow;
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int totalBatches = (int) Math.ceil((double)(endRow - startRow + 1) / BATCH_SIZE);
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int currentBatch = 0;
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log.info("开始分批处理,共 {} 批,每批 {} 行", totalBatches, BATCH_SIZE);
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while (currentStartRow <= endRow) {
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currentBatch++;
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int currentEndRow = Math.min(currentStartRow + BATCH_SIZE - 1, endRow);
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int actualRow = startRow + rowIndex;
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String logisticsLink = row.getString(logisticsLinkColumn);
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String orderNoFromDoc = row.getString(orderNoColumn);
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log.info("正在处理第 {}/{} 批:第 {} 行到第 {} 行", currentBatch, totalBatches, currentStartRow, currentEndRow);
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// 跳过物流链接为空的行
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if (logisticsLink == null || logisticsLink.trim().isEmpty()) {
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log.debug("跳过第 {} 行:物流链接为空", actualRow);
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skippedCount++;
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", null, actualRow, null,
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"SKIPPED", "物流链接为空");
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continue;
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}
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// 跳过单号为空的行
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if (orderNoFromDoc == null || orderNoFromDoc.trim().isEmpty()) {
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log.debug("跳过第 {} 行:单号为空", actualRow);
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skippedCount++;
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", null, actualRow, logisticsLink,
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"SKIPPED", "单号为空");
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continue;
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}
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// 清理物流链接(去除空格、换行符、中文等)
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logisticsLink = cleanLogisticsLink(logisticsLink);
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// 读取当前批次的数据行
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String dataRange = String.format("A%d:Z%d", currentStartRow, currentEndRow);
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log.info("读取数据范围: {}", dataRange);
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JSONObject dataResponse = null;
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try {
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// 通过物流链接查找订单
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JDOrder order = jdOrderService.selectJDOrderByLogisticsLink(logisticsLink);
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if (order == null) {
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log.warn("未找到匹配的订单 - 行: {}, 物流链接: {}", actualRow, logisticsLink);
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errorCount++;
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", null, actualRow, logisticsLink,
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"FAILED", "未找到匹配的订单");
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dataResponse = tencentDocService.readSheetData(accessToken, fileId, sheetId, dataRange);
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} catch (Exception e) {
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log.error("读取第 {} 批数据失败({} - {} 行)", currentBatch, currentStartRow, currentEndRow, e);
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errorCount += (currentEndRow - currentStartRow + 1);
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// 继续处理下一批
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currentStartRow = currentEndRow + 1;
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continue;
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}
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if (dataResponse == null || !dataResponse.containsKey("values")) {
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log.warn("第 {} 批数据读取返回空({} - {} 行),跳过", currentBatch, currentStartRow, currentEndRow);
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currentStartRow = currentEndRow + 1;
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continue;
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}
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JSONArray rows = dataResponse.getJSONArray("values");
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if (rows == null || rows.isEmpty()) {
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log.info("第 {} 批数据为空({} - {} 行),跳过", currentBatch, currentStartRow, currentEndRow);
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currentStartRow = currentEndRow + 1;
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continue;
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}
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log.info("第 {} 批读取到 {} 行数据", currentBatch, rows.size());
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// 处理当前批次的每一行
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for (int rowIndex = 0; rowIndex < rows.size(); rowIndex++) {
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JSONArray row = rows.getJSONArray(rowIndex);
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if (row == null || row.size() <= Math.max(orderNoColumn, logisticsLinkColumn)) {
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skippedCount++;
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continue;
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}
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// 检查订单是否已有第三方单号(如果已有且与文档中的不同,跳过)
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if (order.getThirdPartyOrderNo() != null && !order.getThirdPartyOrderNo().trim().isEmpty()) {
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if (!order.getThirdPartyOrderNo().trim().equals(orderNoFromDoc.trim())) {
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log.info("跳过第 {} 行:订单已有第三方单号且不同 - 现有: {}, 文档: {}",
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actualRow, order.getThirdPartyOrderNo(), orderNoFromDoc);
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skippedCount++;
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", order.getRemark(), actualRow, logisticsLink,
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"SKIPPED", "订单已有第三方单号且不同");
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int actualRow = currentStartRow + rowIndex;
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// 确保不超过结束行
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if (actualRow > endRow) {
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break;
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}
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String logisticsLink = row.getString(logisticsLinkColumn);
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String orderNoFromDoc = row.getString(orderNoColumn);
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// 跳过物流链接为空的行
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if (logisticsLink == null || logisticsLink.trim().isEmpty()) {
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log.debug("跳过第 {} 行:物流链接为空", actualRow);
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skippedCount++;
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", null, actualRow, null,
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"SKIPPED", "物流链接为空");
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continue;
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}
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// 跳过单号为空的行
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if (orderNoFromDoc == null || orderNoFromDoc.trim().isEmpty()) {
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log.debug("跳过第 {} 行:单号为空", actualRow);
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skippedCount++;
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", null, actualRow, logisticsLink,
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"SKIPPED", "单号为空");
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continue;
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}
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// 清理物流链接(去除空格、换行符、中文等)
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logisticsLink = cleanLogisticsLink(logisticsLink);
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try {
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// 通过物流链接查找订单
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JDOrder order = jdOrderService.selectJDOrderByLogisticsLink(logisticsLink);
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if (order == null) {
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log.warn("未找到匹配的订单 - 行: {}, 物流链接: {}", actualRow, logisticsLink);
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errorCount++;
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", null, actualRow, logisticsLink,
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"FAILED", "未找到匹配的订单");
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continue;
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}
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// 如果相同,继续执行(清除物流链接)
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}
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// 更新订单的第三方单号
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order.setThirdPartyOrderNo(orderNoFromDoc.trim());
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int updateResult = jdOrderService.updateJDOrder(order);
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if (updateResult <= 0) {
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log.error("更新订单失败 - 行: {}, 订单ID: {}, 单号: {}",
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actualRow, order.getId(), order.getRemark());
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errorCount++;
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// 检查订单是否已有第三方单号(如果已有且与文档中的不同,跳过)
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if (order.getThirdPartyOrderNo() != null && !order.getThirdPartyOrderNo().trim().isEmpty()) {
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if (!order.getThirdPartyOrderNo().trim().equals(orderNoFromDoc.trim())) {
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log.info("跳过第 {} 行:订单已有第三方单号且不同 - 现有: {}, 文档: {}",
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actualRow, order.getThirdPartyOrderNo(), orderNoFromDoc);
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skippedCount++;
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", order.getRemark(), actualRow, logisticsLink,
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"SKIPPED", "订单已有第三方单号且不同");
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continue;
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}
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// 如果相同,继续执行(清除物流链接)
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}
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// 更新订单的第三方单号
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order.setThirdPartyOrderNo(orderNoFromDoc.trim());
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int updateResult = jdOrderService.updateJDOrder(order);
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if (updateResult <= 0) {
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log.error("更新订单失败 - 行: {}, 订单ID: {}, 单号: {}",
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actualRow, order.getId(), order.getRemark());
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errorCount++;
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", order.getRemark(), actualRow, logisticsLink,
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"FAILED", "更新订单失败");
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continue;
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}
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log.info("✓ 更新订单成功 - 行: {}, 订单: {}, 第三方单号: {}",
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actualRow, order.getRemark(), orderNoFromDoc);
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successCount++;
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// 记录成功日志
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", order.getRemark(), actualRow, logisticsLink,
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"FAILED", "更新订单失败");
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continue;
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"SUCCESS", String.format("已将单号 %s 写入订单的第三方单号字段", orderNoFromDoc));
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} catch (Exception e) {
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log.error("处理第 {} 行失败", actualRow, e);
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errorCount++;
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", null, actualRow, logisticsLink,
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"FAILED", "处理异常: " + e.getMessage());
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}
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log.info("✓ 更新订单成功 - 行: {}, 订单: {}, 第三方单号: {}",
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actualRow, order.getRemark(), orderNoFromDoc);
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successCount++;
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// 记录成功日志
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", order.getRemark(), actualRow, logisticsLink,
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"SUCCESS", String.format("已将单号 %s 写入订单的第三方单号字段", orderNoFromDoc));
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} catch (Exception e) {
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log.error("处理第 {} 行失败", actualRow, e);
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errorCount++;
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logOperation(batchId, fileId, sheetId, "REVERSE_SYNC", null, actualRow, logisticsLink,
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"FAILED", "处理异常: " + e.getMessage());
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// 添加延迟,避免API调用频率过高
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try {
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Thread.sleep(100);
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} catch (InterruptedException e) {
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Thread.currentThread().interrupt();
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}
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}
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// 添加延迟,避免API调用频率过高
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try {
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Thread.sleep(100);
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} catch (InterruptedException e) {
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Thread.currentThread().interrupt();
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log.info("第 {}/{} 批处理完成,当前统计 - 成功: {}, 跳过: {}, 错误: {}",
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currentBatch, totalBatches, successCount, skippedCount, errorCount);
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// 移动到下一批
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currentStartRow = currentEndRow + 1;
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// 批次之间的延迟,避免API调用频率过高
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if (currentStartRow <= endRow) {
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try {
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Thread.sleep(200); // 批次之间延迟200ms
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} catch (InterruptedException e) {
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Thread.currentThread().interrupt();
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}
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}
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}
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