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2 Commits

Author SHA1 Message Date
ll
13e0f68289 Merge remote-tracking branch 'origin/main' 2026-01-19 20:43:37 +08:00
ll
b911a29167 多耳号查询与模糊查询 2026-01-19 20:42:27 +08:00
12 changed files with 188 additions and 63 deletions

View File

@@ -28,16 +28,35 @@ public class NpMilkProdClassesController extends BaseController {
public TableDataInfo list(
@RequestParam(required = false) Date datetimeStart,
@RequestParam(required = false) Date datetimeEnd,
@RequestParam(required = false) String manageEarNo, // 改为单个字符串,模糊
@RequestParam(required = false) List<String> allEarNumbers, // 修改处:接收多耳号数组
@RequestParam(required = false) String factory,
@RequestParam(required = false) Integer classes) {
startPage();
// 修改处:将参数封装进实体,以便 Service 和 Mapper 统一处理
NpMilkProdClasses params = new NpMilkProdClasses();
params.setAllEarNumbers(allEarNumbers);
params.setFactory(factory);
params.setClasses(classes);
List<NpMilkProdClasses> list = npMilkProdClassesService
.selectNpMilkProdClassesList(datetimeStart, datetimeEnd,
manageEarNo, factory, classes);
.selectNpMilkProdClassesList(params, datetimeStart, datetimeEnd);
return getDataTable(list);
}
/**
* 修改处:新增耳号模糊查询接口
*/
@PreAuthorize("@ss.hasPermi('milkProdclasses:milkProdclasses:list')")
@GetMapping("/search_ear_numbers")
public AjaxResult searchEarNumbers(@RequestParam("query") String query) {
try {
List<String> earNumbers = npMilkProdClassesService.searchEarNumbers(query);
return success(earNumbers);
} catch (Exception e) {
return error("搜索耳号失败:" + e.getMessage());
}
}
@PreAuthorize("@ss.hasPermi('milkProdclasses:milkProdclasses:import')")
@Log(title = "班次产奶", businessType = BusinessType.IMPORT)
@PostMapping("/import")
@@ -58,14 +77,19 @@ public class NpMilkProdClassesController extends BaseController {
public void export(HttpServletResponse response,
@RequestParam(required = false) Date datetimeStart,
@RequestParam(required = false) Date datetimeEnd,
@RequestParam(required = false) String manageEarNo,
@RequestParam(required = false) List<String> allEarNumbers, // 修改处:接收多耳号
@RequestParam(required = false) String factory,
@RequestParam(required = false) Integer classes) {
NpMilkProdClasses params = new NpMilkProdClasses();
params.setAllEarNumbers(allEarNumbers);
params.setFactory(factory);
params.setClasses(classes);
List<NpMilkProdClasses> list = npMilkProdClassesService.selectNpMilkProdClassesList(
datetimeStart, datetimeEnd, manageEarNo, factory, classes);
params, datetimeStart, datetimeEnd);
ExcelUtil<NpMilkProdClasses> util = new ExcelUtil<>(NpMilkProdClasses.class);
util.exportExcel(response, list, "班次产奶数据");
}
}
}

View File

@@ -15,7 +15,7 @@ import java.util.List;
/**
* 奶产量分析控制器
* 保留:分页列表(只读) + 单条查询 + 导出
* 保留:分页列表(只读) + 单条查询 + 导出 + 耳号模糊查询
*/
@RestController
@RequestMapping("/dairyProducts/sheepMilkAnalysis")
@@ -26,15 +26,36 @@ public class NpSheepMilkAnalysisController extends BaseController {
/**
* 查询奶产量分析列表(只读,分页)
* 支持参数 manageEarTag耳号模糊 和 screenDays筛选天数
* 支持参数 allEarNumbers多耳号 和 screenDays筛选天数
*/
@GetMapping("/list")
public TableDataInfo list(NpSheepMilkAnalysis analysis) {
startPage(); // 使用PageHelper分页注意service中第一个DB调用是distinct sheep id
public TableDataInfo list(
@RequestParam(required = false) List<String> allEarNumbers, // 修改处:接收多耳号参数
NpSheepMilkAnalysis analysis) {
startPage();
// 修改处:将接收到的 list 设置进对象
if (allEarNumbers != null && !allEarNumbers.isEmpty()) {
analysis.setAllEarNumbers(allEarNumbers);
}
List<NpSheepMilkAnalysis> list = npSheepMilkAnalysisService.selectNpSheepMilkAnalysisList(analysis);
return getDataTable(list);
}
/**
* 修改处:新增搜索耳号接口
*/
@GetMapping("/search_ear_numbers")
public AjaxResult searchEarNumbers(@RequestParam("query") String query) {
try {
List<String> earNumbers = npSheepMilkAnalysisService.searchEarNumbers(query);
return success(earNumbers);
} catch (Exception e) {
return error("搜索耳号失败:" + e.getMessage());
}
}
/**
* 获取单个分析记录详细信息按sheepId
*/
@@ -45,11 +66,18 @@ public class NpSheepMilkAnalysisController extends BaseController {
/**
* 导出奶产量分析记录Excel
* 支持manageEarTag与screenDays两个查询条件
* 支持 allEarNumbers 与 screenDays 两个查询条件
*/
@Log(title = "奶产量分析 导出", businessType = BusinessType.EXPORT)
@GetMapping("/export")
public AjaxResult export(NpSheepMilkAnalysis analysis) {
public AjaxResult export(
@RequestParam(required = false) List<String> allEarNumbers, // 修改处:接收多耳号参数
NpSheepMilkAnalysis analysis) {
if (allEarNumbers != null && !allEarNumbers.isEmpty()) {
analysis.setAllEarNumbers(allEarNumbers);
}
List<NpSheepMilkAnalysis> list = npSheepMilkAnalysisService.selectNpSheepMilkAnalysisForExport(analysis);
ExcelUtil<NpSheepMilkAnalysis> util = new ExcelUtil<>(NpSheepMilkAnalysis.class);
return util.exportExcel(list, "羊奶产量分析数据");

View File

@@ -2,20 +2,19 @@ package com.zhyc.module.dairyProducts.domain;
import java.io.Serializable;
import java.util.Date;
import java.util.List; // 引入 List
import com.fasterxml.jackson.annotation.JsonFormat;
import com.zhyc.common.annotation.Excel;
public class NpMilkProdClasses implements Serializable {
private static final long serialVersionUID = 1L;
private Long id; // 主键ID
private Date createTime; // 创建时间
private Date updateTime; // 更新时间
private Long id;
private Date createTime;
private Date updateTime;
@JsonFormat(pattern = "yyyy-MM-dd")
@Excel(name = "日期", dateFormat = "yyyy-MM-dd") // 添加日期格式
@Excel(name = "日期", dateFormat = "yyyy-MM-dd")
private Date datetime;
@Excel(name = "管理耳号")
@@ -41,7 +40,19 @@ public class NpMilkProdClasses implements Serializable {
private String sheepId;
// 修改处:新增字段用于多耳号查询
/** 全部羊耳号列表(用于多耳号查询) */
private List<String> allEarNumbers;
// Getters and Setters
public List<String> getAllEarNumbers() {
return allEarNumbers;
}
public void setAllEarNumbers(List<String> allEarNumbers) {
this.allEarNumbers = allEarNumbers;
}
public Long getId() { return id; }
public void setId(Long id) { this.id = id; }

View File

@@ -2,6 +2,7 @@ package com.zhyc.module.dairyProducts.domain;
import com.zhyc.common.annotation.Excel;
import java.util.Date;
import java.util.List; // 导入List
public class NpSheepMilkAnalysis {
// 唯一键(可用于前端 row-key
@@ -12,6 +13,10 @@ public class NpSheepMilkAnalysis {
@Excel(name = "耳号")
private String manageEarTag;
// 修改处:新增多耳号字段
/** 全部羊耳号列表(用于多耳号查询) */
private List<String> allEarNumbers;
@Excel(name = "品种")
private String variety;
@@ -139,6 +144,16 @@ public class NpSheepMilkAnalysis {
private Date lastUpdate;
// getters and setters
// 修改处:添加 allEarNumbers 的 getter/setter
public List<String> getAllEarNumbers() {
return allEarNumbers;
}
public void setAllEarNumbers(List<String> allEarNumbers) {
this.allEarNumbers = allEarNumbers;
}
public String getSheepId() { return sheepId; }
public void setSheepId(String sheepId) { this.sheepId = sheepId; }

View File

@@ -6,12 +6,14 @@ import java.util.Date;
import java.util.List;
public interface NpMilkProdClassesMapper {
// 修改处:参数改为接收实体类
List<NpMilkProdClasses> selectNpMilkProdClassesList(
@Param("npMilkProdClasses") NpMilkProdClasses npMilkProdClasses,
@Param("datetimeStart") Date datetimeStart,
@Param("datetimeEnd") Date datetimeEnd,
@Param("manageEarNo") String manageEarNo,
@Param("factory") String factory,
@Param("classes") Integer classes);
@Param("datetimeEnd") Date datetimeEnd);
// 修改处:新增搜索方法
List<String> searchEarNumbers(@Param("query") String query);
int insertNpMilkProdClasses(NpMilkProdClasses row);

View File

@@ -20,8 +20,14 @@ public interface NpSheepMilkAnalysisMapper {
/**
* 根据管理耳标筛选返回distinct的sheepId列表
* 修改处:参数改为对象,支持 allEarNumbers
*/
List<String> selectDistinctSheepIds(@Param("manageEarTag") String manageEarTag);
List<String> selectDistinctSheepIds(NpSheepMilkAnalysis analysis);
/**
* 修改处:新增耳号模糊查询接口
*/
List<String> searchEarNumbers(@Param("query") String query);
/**
* 根据羊只ID查询羊只档案信息返回Map结构

View File

@@ -5,12 +5,14 @@ import java.util.List;
import com.zhyc.module.dairyProducts.domain.NpMilkProdClasses;
public interface INpMilkProdClassesService {
// 修改处:参数改为接收实体类,以包含多耳号列表
List<NpMilkProdClasses> selectNpMilkProdClassesList(
NpMilkProdClasses npMilkProdClasses,
Date datetimeStart,
Date datetimeEnd,
String manageEarNo, // 改为单个 String
String factory,
Integer classes);
Date datetimeEnd);
// 修改处:新增耳号搜索方法
List<String> searchEarNumbers(String query);
int importMilkProdClasses(List<NpMilkProdClasses> list);
}

View File

@@ -9,6 +9,9 @@ public interface INpSheepMilkAnalysisService {
List<NpSheepMilkAnalysis> selectNpSheepMilkAnalysisList(NpSheepMilkAnalysis analysis);
// 修改处:新增模糊查询方法定义
List<String> searchEarNumbers(String query);
/**
* 导出奶产量分析记录
*/

View File

@@ -16,26 +16,29 @@ public class NpMilkProdClassesServiceImpl implements INpMilkProdClassesService {
private NpMilkProdClassesMapper mapper;
@Override
public List<NpMilkProdClasses> selectNpMilkProdClassesList(Date datetimeStart, Date datetimeEnd,
String manageEarNo, String factory, Integer classes) {
return mapper.selectNpMilkProdClassesList(datetimeStart, datetimeEnd, manageEarNo, factory, classes);
public List<NpMilkProdClasses> selectNpMilkProdClassesList(NpMilkProdClasses npMilkProdClasses, Date datetimeStart, Date datetimeEnd) {
// 修改处:传递实体对象
return mapper.selectNpMilkProdClassesList(npMilkProdClasses, datetimeStart, datetimeEnd);
}
// 修改处:实现搜索方法
@Override
public List<String> searchEarNumbers(String query) {
return mapper.searchEarNumbers(query);
}
@Override
public int importMilkProdClasses(List<NpMilkProdClasses> list) {
int count = 0;
for (NpMilkProdClasses item : list) {
// 根据管理耳号查 sheep_id
String sheepId = mapper.selectSheepIdByManageEarNo(item.getManageEarNo());
if (sheepId == null) continue;
item.setSheepId(sheepId);
// 计算校正奶量
Double correctedMilk = calculateCorrectedMilk(item);
item.setCorrectedMilk(correctedMilk);
// 插入数据
count += mapper.insertNpMilkProdClasses(item);
}
return count;
@@ -45,15 +48,12 @@ public class NpMilkProdClassesServiceImpl implements INpMilkProdClassesService {
Double milk = item.getMilk();
if (milk == null) return null;
// 1. 称重矫正系数
Double weightCorrection = mapper.getWeightCorrection(item.getDatetime(), item.getFactory());
if (weightCorrection == null) weightCorrection = 1.0;
// 2. 胎次矫正系数
Double parityCorrection = mapper.getParityCorrection(item.getParity());
if (parityCorrection == null) parityCorrection = 1.0;
// 3. 干物质矫正系数
Double dryMatterCorrection = mapper.getDryMatterCorrection(item.getDatetime(), item.getFactory());
if (dryMatterCorrection == null) dryMatterCorrection = 1.0;

View File

@@ -47,12 +47,19 @@ public class NpSheepMilkAnalysisServiceImpl implements INpSheepMilkAnalysisServi
return ana;
}
// 修改处:新增模糊查询实现
@Override
public List<String> searchEarNumbers(String query) {
return npSheepMilkAnalysisMapper.searchEarNumbers(query);
}
@Override
public List<NpSheepMilkAnalysis> selectNpSheepMilkAnalysisList(NpSheepMilkAnalysis analysis) {
int screenDays = (analysis != null && analysis.getScreenDays() != null) ? analysis.getScreenDays() : 100;
String manageEarTagFilter = (analysis != null) ? analysis.getManageEarTag() : null;
List<String> sheepIds = npSheepMilkAnalysisMapper.selectDistinctSheepIds(manageEarTagFilter);
// 修改处:这里改为直接传 analysis 对象,以便 mapper 可以处理 allEarNumbers
List<String> sheepIds = npSheepMilkAnalysisMapper.selectDistinctSheepIds(analysis);
if (CollectionUtils.isEmpty(sheepIds)) return Collections.emptyList();
List<NpSheepMilkAnalysis> resultList = new ArrayList<>();

View File

@@ -19,14 +19,13 @@
SELECT
mpc.id,
mpc.datetime,
v.bs_manage_tags, <!-- 取消别名,使用原列名 -->
v.bs_manage_tags,
v.electronic_tags,
v.parity,
v.dr_ranch,
mpc.classes,
mpc.milk,
mpc.corrected_milk AS corrected_milk
<!-- 修改为与 resultMap 对应的列名 -->
FROM np_milk_prod_classes mpc
JOIN sheep_file v ON mpc.sheep_id = v.id
LEFT JOIN xz_wegih_correction wc ON DATE(mpc.datetime) = DATE(wc.datetime) AND v.dr_ranch = wc.factory
@@ -39,19 +38,34 @@
<if test="datetimeEnd != null">
AND mpc.datetime &lt;= #{datetimeEnd}
</if>
<if test="manageEarNo != null and manageEarNo != ''">
AND v.bs_manage_tags LIKE CONCAT('%', #{manageEarNo}, '%')
<if test="npMilkProdClasses.allEarNumbers != null and npMilkProdClasses.allEarNumbers.size() > 0">
AND (
v.bs_manage_tags IN
<foreach collection="npMilkProdClasses.allEarNumbers" item="earNumber" open="(" separator="," close=")">
#{earNumber}
</foreach>
)
</if>
<if test="factory != null and factory != ''">
AND v.dr_ranch = #{factory}
<if test="npMilkProdClasses.factory != null and npMilkProdClasses.factory != ''">
AND v.dr_ranch = #{npMilkProdClasses.factory}
</if>
<if test="classes != null">
AND mpc.classes = #{classes}
<if test="npMilkProdClasses.classes != null">
AND mpc.classes = #{npMilkProdClasses.classes}
</if>
</where>
</select>
<!-- 称重矫正系数 -->
<select id="searchEarNumbers" resultType="java.lang.String">
SELECT DISTINCT sf.bs_manage_tags
FROM sheep_file sf
WHERE sf.bs_manage_tags LIKE CONCAT(#{query}, '%')
AND sf.is_delete = 0
ORDER BY sf.bs_manage_tags
LIMIT 50
</select>
<select id="getWeightCorrection" resultType="java.lang.Double">
SELECT actual / system_milk
FROM xz_wegih_correction
@@ -60,7 +74,6 @@
AND system_milk > 0
</select>
<!-- 胎次矫正系数 -->
<select id="getParityCorrection" resultType="java.lang.Double">
SELECT
CASE
@@ -72,7 +85,6 @@
WHERE parity = #{parity}
</select>
<!-- 干物质矫正系数 -->
<select id="getDryMatterCorrection" resultType="java.lang.Double">
SELECT coefficient
FROM xz_dry_matter_correction
@@ -90,4 +102,4 @@
FROM sheep_file
WHERE bs_manage_tags = #{manageEarNo}
</select>
</mapper>
</mapper>

View File

@@ -4,8 +4,7 @@
"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.zhyc.module.dairyProducts.mapper.NpSheepMilkAnalysisMapper">
<!-- 1) 获取distinct sheep_id支持按sheep_file.bs_manage_tags模糊搜索 -->
<select id="selectDistinctSheepIds" resultType="string" parameterType="map">
<select id="selectDistinctSheepIds" resultType="string" parameterType="com.zhyc.module.dairyProducts.domain.NpSheepMilkAnalysis">
SELECT DISTINCT a.sheep_id
FROM np_milk_prod_classes a
LEFT JOIN sheep_file sf ON a.sheep_id = sf.id
@@ -13,12 +12,27 @@
<if test="manageEarTag != null and manageEarTag != ''">
AND sf.bs_manage_tags LIKE CONCAT('%', #{manageEarTag}, '%')
</if>
<if test="allEarNumbers != null and allEarNumbers.size() > 0">
AND (
sf.bs_manage_tags IN
<foreach collection="allEarNumbers" item="earNumber" open="(" separator="," close=")">
#{earNumber}
</foreach>
)
</if>
</where>
ORDER BY a.sheep_id
</select>
<!-- 2) 获取某只羊的所有班次记录(按班次日期升序) -->
<!-- 假设表中字段class_date, system_milk, corrected_milk, parity -->
<select id="searchEarNumbers" resultType="java.lang.String">
SELECT DISTINCT sf.bs_manage_tags
FROM sheep_file sf
WHERE sf.bs_manage_tags LIKE CONCAT(#{query}, '%')
AND sf.is_delete = 0
ORDER BY sf.bs_manage_tags
LIMIT 50
</select>
<select id="selectMilkRecordsBySheepId" resultType="map" parameterType="string">
SELECT
datetime AS classDate,
@@ -30,8 +44,6 @@
ORDER BY datetime ASC
</select>
<!-- 3) 获取该羊在sheep_file视图中的基础信息 -->
<!-- 假设字段名称bs_manage_tags、variety、lactation_day、name、birthday、parity、month_age、current_weight、breed、father_manage_tags、mother_manage_tags、dr_ranch、family -->
<select id="selectSheepFileBySheepId" resultType="map" parameterType="string">
SELECT
id AS sheep_id,
@@ -52,27 +64,30 @@
WHERE id = #{sheepId}
</select>
<!-- 4) 兼容旧list查询返回domain对象列表但在我们的实现中service会构造最终的NpSheepMilkAnalysis列表 -->
<select id="selectNpSheepMilkAnalysisList" resultType="com.zhyc.module.dairyProducts.domain.NpSheepMilkAnalysis" parameterType="com.zhyc.module.dairyProducts.domain.NpSheepMilkAnalysis">
<!-- 如果你仍需基于某张表的简单映射可在此实现当前我们在ServiceImpl中组装对象所以该查询不做复杂实现 -->
SELECT 1 FROM dual WHERE 1=0
</select>
<!-- 5) 导出奶产量分析记录 -->
<select id="selectNpSheepMilkAnalysisForExport" resultType="com.zhyc.module.dairyProducts.domain.NpSheepMilkAnalysis" parameterType="com.zhyc.module.dairyProducts.domain.NpSheepMilkAnalysis">
<!-- 这里需要根据实际表结构编写SQL查询 -->
<!-- 示例SQL需要根据实际表结构调整 -->
SELECT
sf.id as sheepId,
sf.bs_manage_tags as manageEarTag,
sf.variety,
<!-- 其他字段 -->
m.datetime as milkingStartTime
FROM sheep_file sf
LEFT JOIN np_milk_prod_classes m ON sf.id = m.sheep_id
<where>
<if test="manageEarTag != null and manageEarTag != ''">
AND sf.bs_manage_tags LIKE CONCAT('%', #{manageEarTag}, '%')
</if>
<if test="allEarNumbers != null and allEarNumbers.size() > 0">
AND (
sf.bs_manage_tags IN
<foreach collection="allEarNumbers" item="earNumber" open="(" separator="," close=")">
#{earNumber}
</foreach>
)
</if>
</where>
GROUP BY sf.id
</select>