统计数据
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@ -41,9 +41,10 @@ public class CustomerDashboardDailyCapabilityHandler implements AgentCapabilityH
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学员总数：暂未获取
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今日新增：暂未获取
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跟进成员数：暂未获取
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统计管理：暂未获取
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今日收款：暂未接入
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""".trim(),
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List.of("企业微信学员联系 API"),
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List.of("企业微信学员联系 API", "企业微信统计管理 API"),
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Map.of("error", e.getMessage() == null ? "api forbidden" : e.getMessage()),
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Instant.now()
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);
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@ -60,15 +61,43 @@ public class CustomerDashboardDailyCapabilityHandler implements AgentCapabilityH
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学员总数：%d
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今日新增：%d
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跟进成员数：%d
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今日咨询数：%d
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今日聊天数：%d
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今日发送消息数：%d
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今日回复率：%s
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平均首次回复时长：%s
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今日负反馈数：%d
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今日收款：暂未接入
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""".formatted(stats.totalStudents(), stats.todayNewStudents(), stats.followUserCount()).trim(),
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List.of("企业微信学员联系 API"),
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""".formatted(
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stats.totalStudents(),
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stats.todayNewStudents(),
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stats.followUserCount(),
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stats.todayNewApplyCount(),
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stats.todayChatCount(),
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stats.todayMessageCount(),
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percent(stats.todayReplyPercentage()),
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seconds(stats.todayAvgReplySeconds()),
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stats.todayNegativeFeedbackCount()
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).trim(),
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List.of("企业微信学员联系 API", "企业微信统计管理 API"),
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Map.of(
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"totalStudents", stats.totalStudents(),
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"todayNewStudents", stats.todayNewStudents(),
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"followUserCount", stats.followUserCount()
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"followUserCount", stats.followUserCount(),
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"todayNewApplyCount", stats.todayNewApplyCount(),
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"todayChatCount", stats.todayChatCount(),
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"todayMessageCount", stats.todayMessageCount(),
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"todayNegativeFeedbackCount", stats.todayNegativeFeedbackCount()
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),
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Instant.now()
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);
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}
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private String percent(Integer value) {
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return value == null ? "暂无数据" : value + "%";
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}
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private String seconds(Integer value) {
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return value == null ? "暂无数据" : value + "秒";
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}
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}
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@ -89,6 +89,26 @@ public class WecomClient {
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return response;
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}
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public WecomUserBehaviorDataResponse getStudentContactBehaviorData(List<String> userIds, long startTime, long endTime) {
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String token = getAccessToken(studentContactSecret());
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WecomUserBehaviorDataRequest request = new WecomUserBehaviorDataRequest(userIds, startTime, endTime);
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WecomUserBehaviorDataResponse response = webClient.post()
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.uri(uriBuilder -> uriBuilder.path("/cgi-bin/externalcontact/get_user_behavior_data")
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.queryParam("access_token", token)
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.build())
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.contentType(MediaType.APPLICATION_JSON)
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.bodyValue(request)
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.retrieve()
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.bodyToMono(WecomUserBehaviorDataResponse.class)
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.block();
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if (response == null || !response.success()) {
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log.error("wecom student contact behavior data failed err={}", response == null ? "null" : response.errmsg());
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throw new IllegalStateException("WeCom student contact behavior data failed: " + (response == null ? "null" : response.errmsg()));
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}
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return response;
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}
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private String getAccessToken() {
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if (cachedToken != null && Instant.now().isBefore(tokenExpireAt)) {
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log.info("wecom gettoken use cached token expireAt={}", tokenExpireAt);
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@ -3,5 +3,11 @@ package com.company.agentfoundation.integration.wecom;
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public record WecomStudentContactStats(
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int totalStudents,
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int todayNewStudents,
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int followUserCount
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int followUserCount,
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int todayNewApplyCount,
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int todayChatCount,
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int todayMessageCount,
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int todayNegativeFeedbackCount,
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Integer todayReplyPercentage,
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Integer todayAvgReplySeconds
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) {}
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@ -24,9 +24,11 @@ public class WecomStudentContactStatsService {
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public WecomStudentContactStats fetchTodayStats() {
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List<String> followUsers = wecomClient.getStudentContactFollowUsers().followUser();
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if (followUsers == null || followUsers.isEmpty()) {
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return new WecomStudentContactStats(0, 0, 0);
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return new WecomStudentContactStats(0, 0, 0, 0, 0, 0, 0, null, null);
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}
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long todayStart = LocalDate.now(CHINA_ZONE).atStartOfDay(CHINA_ZONE).toEpochSecond();
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long tomorrowStart = LocalDate.now(CHINA_ZONE).plusDays(1).atStartOfDay(CHINA_ZONE).toEpochSecond();
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Set<String> allStudents = new HashSet<>();
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Map<String, Long> earliestCreateTimeByStudent = new HashMap<>();
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for (int start = 0; start < followUsers.size(); start += BATCH_SIZE) {
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@ -34,13 +36,22 @@ public class WecomStudentContactStatsService {
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fetchBatch(batchUsers, allStudents, earliestCreateTimeByStudent);
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}
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long todayStart = LocalDate.now(CHINA_ZONE).atStartOfDay(CHINA_ZONE).toEpochSecond();
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long tomorrowStart = LocalDate.now(CHINA_ZONE).plusDays(1).atStartOfDay(CHINA_ZONE).toEpochSecond();
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int todayNew = (int) earliestCreateTimeByStudent.values().stream()
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.filter(createTime -> createTime != null && createTime >= todayStart && createTime < tomorrowStart)
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.count();
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BehaviorSummary behaviorSummary = fetchBehaviorSummary(followUsers, todayStart, tomorrowStart - 1);
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return new WecomStudentContactStats(allStudents.size(), todayNew, followUsers.size());
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return new WecomStudentContactStats(
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allStudents.size(),
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todayNew,
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followUsers.size(),
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behaviorSummary.newApplyCount(),
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behaviorSummary.chatCount(),
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behaviorSummary.messageCount(),
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behaviorSummary.negativeFeedbackCount(),
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behaviorSummary.replyPercentage(),
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behaviorSummary.avgReplySeconds()
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);
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}
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private void fetchBatch(List<String> userIds, Set<String> allStudents, Map<String, Long> earliestCreateTimeByStudent) {
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@ -68,4 +79,60 @@ public class WecomStudentContactStatsService {
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}
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}
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}
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private BehaviorSummary fetchBehaviorSummary(List<String> followUsers, long startTime, long endTime) {
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int newApplyCount = 0;
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int chatCount = 0;
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int messageCount = 0;
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int negativeFeedbackCount = 0;
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int replyPercentageWeightedSum = 0;
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int replyPercentageWeight = 0;
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int avgReplyTimeWeightedSum = 0;
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int avgReplyTimeWeight = 0;
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for (int start = 0; start < followUsers.size(); start += BATCH_SIZE) {
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List<String> batchUsers = followUsers.subList(start, Math.min(start + BATCH_SIZE, followUsers.size()));
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WecomUserBehaviorDataResponse response = wecomClient.getStudentContactBehaviorData(batchUsers, startTime, endTime);
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List<WecomUserBehaviorDataResponse.BehaviorData> behaviorData = response.behaviorData();
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if (behaviorData == null) {
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continue;
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}
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for (WecomUserBehaviorDataResponse.BehaviorData item : behaviorData) {
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if (item == null) {
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continue;
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}
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int itemChatCount = value(item.chatCnt());
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int itemMessageCount = value(item.messageCnt());
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newApplyCount += value(item.newApplyCnt());
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chatCount += itemChatCount;
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messageCount += itemMessageCount;
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negativeFeedbackCount += value(item.negativeFeedbackCnt());
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if (item.replyPercentage() != null && itemChatCount > 0) {
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replyPercentageWeightedSum += item.replyPercentage() * itemChatCount;
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replyPercentageWeight += itemChatCount;
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}
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if (item.avgReplyTime() != null && itemMessageCount > 0) {
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avgReplyTimeWeightedSum += item.avgReplyTime() * itemMessageCount;
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avgReplyTimeWeight += itemMessageCount;
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}
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}
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}
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Integer replyPercentage = replyPercentageWeight == 0 ? null : replyPercentageWeightedSum / replyPercentageWeight;
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Integer avgReplySeconds = avgReplyTimeWeight == 0 ? null : avgReplyTimeWeightedSum / avgReplyTimeWeight;
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return new BehaviorSummary(newApplyCount, chatCount, messageCount, negativeFeedbackCount, replyPercentage, avgReplySeconds);
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}
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private int value(Integer value) {
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return value == null ? 0 : value;
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}
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private record BehaviorSummary(
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int newApplyCount,
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int chatCount,
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int messageCount,
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int negativeFeedbackCount,
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Integer replyPercentage,
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Integer avgReplySeconds
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) {}
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}
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@ -0,0 +1,11 @@
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package com.company.agentfoundation.integration.wecom;
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import com.fasterxml.jackson.annotation.JsonProperty;
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import java.util.List;
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public record WecomUserBehaviorDataRequest(
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@JsonProperty("userid") List<String> userIds,
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@JsonProperty("start_time") Long startTime,
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@JsonProperty("end_time") Long endTime
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) {}
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@ -0,0 +1,26 @@
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package com.company.agentfoundation.integration.wecom;
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import com.fasterxml.jackson.annotation.JsonProperty;
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import java.util.List;
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public record WecomUserBehaviorDataResponse(
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Integer errcode,
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String errmsg,
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@JsonProperty("behavior_data") List<BehaviorData> behaviorData
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) {
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public boolean success() {
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return errcode == null || errcode == 0;
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}
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public record BehaviorData(
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String statTime,
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@JsonProperty("chat_cnt") Integer chatCnt,
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@JsonProperty("message_cnt") Integer messageCnt,
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@JsonProperty("reply_percentage") Integer replyPercentage,
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@JsonProperty("avg_reply_time") Integer avgReplyTime,
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@JsonProperty("negative_feedback_cnt") Integer negativeFeedbackCnt,
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@JsonProperty("new_apply_cnt") Integer newApplyCnt,
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@JsonProperty("new_contact_cnt") Integer newContactCnt
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) {}
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}
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