admin/smartDriveEE
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

修改买家统计的逻

Browse Source
This commit is contained in:
cst61
2026-06-06 22:32:37 +08:00
parent 4c074a0191
commit b36b37bd51
4 changed files with 59 additions and 37 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
src/main/java/com/rj/controller/LbBuyerShoppingController.java
View File

@@ -66,13 +66,13 @@ public class LbBuyerShoppingController {
@PostMapping("/generate-stat")
@Operation(
summary = "按买家生成天统计或总和统计",
summary = "全表按买家生成天统计或总和统计",
description =
"根据 buyerId 汇总 detail_data 明细：day_stat 按购买日期每天生成一条统计"
+ "（stat_total_money、total_order_count、avg_amount）；"
+ "sum_data 生成该买家全部订单的一条总和统计")
"扫描全表 detail_data 明细并按 buyer_id 分组：day_stat 为每个买家按购买日期"
+ "每天生成一条统计（stat_total_money、total_order_count、avg_amount）；"
+ "sum_data 为每个买家生成一条总和统计")
public ResponseEntity<Map<String, Object>> generateStat(
@Parameter(description = "买家 ID 与统计类型（day_stat / sum_data）", required = true)
@Parameter(description = "统计类型（day_stat / sum_data）", required = true)
@RequestBody LbBuyerShoppingGenerateStatRequest request) {
Map<String, Object> result = lbBuyerShoppingService.generateBuyerStat(request);
return toResponse(result);

5
src/main/java/com/rj/dto/LbBuyerShoppingGenerateStatRequest.java
View File

@@ -4,15 +4,12 @@ import io.swagger.v3.oas.annotations.media.Schema;
import lombok.Data;
/**
* 按买家 ID 将 lb_buyer_shopping 明细汇总为天统计或总和统计并写入表。
* 将 lb_buyer_shopping 全表明细按买家 ID 汇总为天统计或总和统计并写入表。
*/
@Data
@Schema(description = "买方购物生成统计请求")
public class LbBuyerShoppingGenerateStatRequest {
@Schema(description = "买家 ID", requiredMode = Schema.RequiredMode.REQUIRED)
private Long buyerId;
@Schema(description = "统计类型：day_stat=天统计，sum_data=总和统计", requiredMode = Schema.RequiredMode.REQUIRED)
private String statType;
}

2
src/main/java/com/rj/service/ILbBuyerShoppingService.java
View File

@@ -45,7 +45,7 @@ public interface ILbBuyerShoppingService extends IService<LbBuyerShopping> {
Map<String, Object> pullFromThirdParty(LbBuyerShoppingPullRequest request);
/**
* 按买家 ID 将明细汇总为 {@code day_stat} 或 {@code sum_data} 并写入表。
* 将全表 detail_data 明细按买家 ID 汇总为 {@code day_stat} 或 {@code sum_data} 并写入表。
*/
Map<String, Object> generateBuyerStat(LbBuyerShoppingGenerateStatRequest request);
}

79
src/main/java/com/rj/service/impl/LbBuyerShoppingServiceImpl.java
View File

@@ -562,11 +562,6 @@ public class LbBuyerShoppingServiceImpl
result.put("message", "请求体不能为空");
return result;
}
if (request.getBuyerId() == null) {
result.put("success", false);
result.put("message", "buyerId不能为空");
return result;
}
String statType = request.getStatType() != null ? request.getStatType().trim() : "";
if (statType.isEmpty()) {
result.put("success", false);
@@ -579,54 +574,84 @@ public class LbBuyerShoppingServiceImpl
return result;
}
Long buyerId = request.getBuyerId();
List<LbBuyerShopping> details = listDetailRowsByBuyerId(buyerId);
if (details.isEmpty()) {
List<LbBuyerShopping> allDetails = listAllDetailRows();
if (allDetails.isEmpty()) {
result.put("success", true);
result.put("message", "该买家无明细订单");
result.put("message", "全表无明细订单");
result.put("generated", 0);
result.put("sourceCount", 0);
result.put("buyerCount", 0);
return result;
}
List<LbBuyerShopping> statRows;
Map<Long, List<LbBuyerShopping>> byBuyer = new LinkedHashMap<>();
int skippedNoBuyerId = 0;
for (LbBuyerShopping row : allDetails) {
if (row.getBuyerId() == null) {
skippedNoBuyerId++;
continue;
}
byBuyer.computeIfAbsent(row.getBuyerId(), k -> new ArrayList<>()).add(row);
}
if (byBuyer.isEmpty()) {
result.put("success", false);
result.put("message", "明细均无 buyer_id，无法按买家汇总");
result.put("sourceCount", allDetails.size());
result.put("skippedNoBuyerId", skippedNoBuyerId);
return result;
}
List<LbBuyerShopping> statRows = new ArrayList<>();
int skippedNoBuyTime = 0;
int skippedBuyersNoBuyTime = 0;
if (DATA_TYPE_DAY_STAT.equals(statType)) {
Map<LocalDate, List<LbBuyerShopping>> byDay = new LinkedHashMap<>();
for (LbBuyerShopping row : details) {
LocalDate day = resolveBuyDate(row.getBuyTime());
if (day == null) {
skippedNoBuyTime++;
for (Map.Entry<Long, List<LbBuyerShopping>> buyerEntry : byBuyer.entrySet()) {
Long buyerId = buyerEntry.getKey();
Map<LocalDate, List<LbBuyerShopping>> byDay = new LinkedHashMap<>();
for (LbBuyerShopping row : buyerEntry.getValue()) {
LocalDate day = resolveBuyDate(row.getBuyTime());
if (day == null) {
skippedNoBuyTime++;
continue;
}
byDay.computeIfAbsent(day, k -> new ArrayList<>()).add(row);
}
if (byDay.isEmpty()) {
skippedBuyersNoBuyTime++;
continue;
}
byDay.computeIfAbsent(day, k -> new ArrayList<>()).add(row);
for (Map.Entry<LocalDate, List<LbBuyerShopping>> dayEntry : byDay.entrySet()) {
statRows.add(buildDayStatRow(buyerId, dayEntry.getKey(), dayEntry.getValue()));
}
}
if (byDay.isEmpty()) {
if (statRows.isEmpty()) {
result.put("success", false);
result.put("message", "明细 buy_time 均无法解析为日期，无法按天汇总");
result.put("skippedNoBuyTime", skippedNoBuyTime);
result.put("skippedBuyersNoBuyTime", skippedBuyersNoBuyTime);
return result;
}
statRows = new ArrayList<>(byDay.size());
for (Map.Entry<LocalDate, List<LbBuyerShopping>> entry : byDay.entrySet()) {
statRows.add(buildDayStatRow(buyerId, entry.getKey(), entry.getValue()));
}
} else {
statRows = List.of(buildSumStatRow(buyerId, details));
for (Map.Entry<Long, List<LbBuyerShopping>> buyerEntry : byBuyer.entrySet()) {
statRows.add(buildSumStatRow(buyerEntry.getKey(), buyerEntry.getValue()));
}
}
int upserted = upsertStatRows(statRows);
result.put("success", upserted >= 0);
result.put("message", upserted >= 0 ? "统计完成" : "保存失败");
result.put("generated", Math.max(upserted, 0));
result.put("sourceCount", details.size());
result.put("sourceCount", allDetails.size());
result.put("buyerCount", byBuyer.size());
result.put("skippedNoBuyerId", skippedNoBuyerId);
result.put("skippedNoBuyTime", skippedNoBuyTime);
result.put("skippedBuyersNoBuyTime", skippedBuyersNoBuyTime);
if (upserted >= 0) {
result.put("data", statRows);
}
return result;
} catch (Exception e) {
log.error("买方购物统计异常 buyerId={}", request != null ? request.getBuyerId() : null, e);
log.error("买方购物统计异常 statType={}", request != null ? request.getStatType() : null, e);
result.put("success", false);
result.put("message", "统计异常：" + e.getMessage());
result.put("generated", 0);
@@ -634,10 +659,10 @@ public class LbBuyerShoppingServiceImpl
}
}
private List<LbBuyerShopping> listDetailRowsByBuyerId(Long buyerId) {
private List<LbBuyerShopping> listAllDetailRows() {
LambdaQueryWrapper<LbBuyerShopping> queryWrapper = new LambdaQueryWrapper<>();
queryWrapper.eq(LbBuyerShopping::getBuyerId, buyerId)
.eq(LbBuyerShopping::getDataType, DATA_TYPE_DETAIL)
queryWrapper.eq(LbBuyerShopping::getDataType, DATA_TYPE_DETAIL)
.orderByAsc(LbBuyerShopping::getBuyerId)
.orderByAsc(LbBuyerShopping::getBuyTime)
.orderByAsc(LbBuyerShopping::getId);
return this.list(queryWrapper);