2025-04-20 20:26:58 +08:00
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<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
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<mapper namespace="com.bonus.canteen.core.nutrition.mapper.HealthInfoMapper">
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2025-06-03 09:18:31 +08:00
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<select id="selectHealthInfoList" resultType="com.bonus.canteen.core.nutrition.common.vo.HealthInfoSimpleVo">
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SELECT a.user_id,
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a.nick_name,
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a.phonenumber as mobile,
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a.photo_url as custPhotoUrl,
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a.sex,
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d.height,
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d.weight,
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d.bmi,
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b.doctor_advice,
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b.allergen,
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b.labour_intensity,
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b.pregnant_status,
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GROUP_CONCAT(c.chronic_name ORDER BY c.chronic_id desc) AS chronic_names,
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GROUP_CONCAT(c.chronic_id ORDER BY c.chronic_id desc) AS chronic_ids
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from sys_user a
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left join health_info b on a.user_id = b.user_id
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left join health_info_chronic c on a.user_id = c.user_id
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left join health_body_record d on a.user_id = d.user_id and d.if_latest = 1
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where 1 = 1
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group by a.user_id,
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a.nick_name,
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a.dept_id,
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a.phonenumber,
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a.photo_url,
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a.sex,
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d.height,
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d.weight,
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d.bmi,
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b.doctor_advice,
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b.allergen,
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b.labour_intensity,
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b.pregnant_status
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</select>
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2025-04-20 20:26:58 +08:00
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<select id="getSimpleInfo" resultType="com.bonus.canteen.core.nutrition.common.vo.HealthInfoSimpleVo">
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SELECT a.user_id,
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a.nick_name,
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a.phonenumber as mobile,
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a.photo_url as custPhotoUrl,
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a.sex,
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d.height,
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d.weight,
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d.bmi,
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b.doctor_advice,
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b.allergen,
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b.labour_intensity,
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b.pregnant_status,
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GROUP_CONCAT(c.chronic_name ORDER BY c.chronic_id desc) AS chronic_names,
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GROUP_CONCAT(c.chronic_id ORDER BY c.chronic_id desc) AS chronic_ids
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from sys_user a
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left join health_info b on a.user_id = b.user_id
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left join health_info_chronic c on a.user_id = c.user_id
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left join health_body_record d on a.user_id = d.user_id and d.if_latest = 1
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where 1 = 1
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and a.user_id = #{userId}
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group by a.user_id,
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a.nick_name,
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a.dept_id,
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a.phonenumber,
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a.photo_url,
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a.sex,
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d.height,
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d.weight,
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d.bmi,
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b.doctor_advice,
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b.allergen,
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b.labour_intensity,
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b.pregnant_status
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</select>
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<select id="fullHealthInfo" resultType="com.bonus.canteen.core.nutrition.common.vo.HealthInfoFullVo">
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select a.user_id,
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a.nick_name,
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a.phonenumber as mobile,
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a.sex,
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a.dept_id as orgId,
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a.user_type,
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b.marital_status,
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b.pregnant_status,
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b.pregnancy_date,
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b.doctor_advice,
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b.if_hospitalized,
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b.doctor_num,
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b.hospital_num,
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b.inpatient_date,
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b.inpatient_result,
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b.weight_control,
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b.allergen,
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b.labour_intensity,
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b.health_state,
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b.blood_type,
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c.height,
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c.weight,
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c.bmi,
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c.shape,
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c.bust,
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c.waistline,
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c.blood_sugar,
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c.blood_fat,
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c.blood_pressure_high,
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c.blood_pressure_low,
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c.heart_rate,
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c.blood_oxygen,
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c.uric_acid,
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c.blood_pressure,
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GROUP_CONCAT(d.chronic_name ORDER BY d.chronic_id desc) AS chronic_names,
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GROUP_CONCAT(d.chronic_id ORDER BY d.chronic_id desc) AS chronic_ids
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from sys_user a
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left join health_info b on a.user_id = b.user_id
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left join health_body_record c on a.user_id = c.user_id and c.if_latest = 1
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left join health_info_chronic d on a.user_id = d.user_id
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where a.user_id = #{userId}
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group by a.user_id,
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a.user_name,
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a.phonenumber,
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a.sex,
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a.dept_id,
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a.user_type,
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b.marital_status,
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b.pregnant_status,
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b.pregnancy_date,
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b.doctor_advice,
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b.if_hospitalized,
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b.doctor_num,
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b.hospital_num,
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b.inpatient_date,
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b.inpatient_result,
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b.weight_control,
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b.allergen,
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b.labour_intensity,
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b.health_state,
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b.blood_type,
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c.height,
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c.weight,
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c.bmi,
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c.shape,
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c.bust,
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c.waistline,
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c.blood_sugar,
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c.blood_fat,
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c.blood_pressure_high,
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c.blood_pressure_low,
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c.heart_rate,
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c.blood_oxygen,
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c.uric_acid,
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c.blood_pressure
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</select>
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</mapper>
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