mirror of
https://github.com/jie65535/JChatGPT.git
synced 2026-09-15 02:56:10 +08:00
profile: refine query output and live batching
This commit is contained in:
@@ -134,7 +134,7 @@ profileRetryMax: 2
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profileSummaryMaxLength: 500
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# 缓存会话闭合后自动维护画像;整段会话只调用一次模型
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profileAutoUpdateEnabled: true
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# 一次自动归纳最多读取最近150条会话消息
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# 群画像历史推进的目标消息数;实时自动维护按自然空窗读取完整连续会话
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profileAutoConversationMessageLimit: 150
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# 本人有效文本少于此字符数时不调用画像模型
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profileAutoMinAuthoredTextChars: 20
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@@ -236,7 +236,8 @@ searchHistoryMaxRecords: 5000
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### 渐进式历史画像
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画像维护不需要群友执行命令。Bot 成功完成一轮群聊后,系统沿用上下文缓存的超时时间进行防抖;期间再次
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触发会合并为同一会话,缓存真正闭合时还会纳入 Bot 回复后的群聊消息。后台读取最近至多 150 条消息,只把
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触发会合并为同一会话,缓存真正闭合时还会纳入 Bot 回复后的群聊消息。后台从闭合点向前回溯到 20 分钟自然空窗,
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连续会话不再按 150 条截断,但最多保留 800 条、70000 字或 24 小时。分析只把
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本人有效文本达到门槛的账号列为候选,然后用一次模型调用同时比较所有候选人的当前画像并返回按用户分组的
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`ADD / UPDATE / CONFIRM / DELETE` 操作。没有可靠变化的参与者仍会被标记为已检查,但不会生成空洞画像。
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@@ -135,7 +135,7 @@ object PluginConfig : AutoSavePluginConfig("Config") {
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@ValueDescription("是否在群聊会话结束后静默自动维护相关用户画像")
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val profileAutoUpdateEnabled: Boolean by value(true)
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@ValueDescription("自动画像分析一次闭合会话最多读取多少条最近消息")
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@ValueDescription("群画像历史推进的目标消息数;实时自动维护改按自然空窗读取完整连续会话")
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val profileAutoConversationMessageLimit: Int by value(150)
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@ValueDescription("用户在会话中至少包含多少个本人文本字符才调用画像模型")
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@@ -328,6 +328,49 @@ class ProfileHistoryReader(private val databaseFile: File) {
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}
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}
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fun loadLatestConversationBatch(
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botId: Long,
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groupId: Long,
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startTime: Int,
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endTime: Int,
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maxMessageChars: Int,
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idleGapSeconds: Int = ProfileConversationWindowDefaults.IDLE_GAP_SECONDS,
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maxMessages: Int = ProfileConversationWindowDefaults.MAX_MESSAGES,
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maxContentChars: Int = ProfileConversationWindowDefaults.MAX_CONTENT_CHARS,
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maxSpanSeconds: Int = ProfileConversationWindowDefaults.MAX_PACKED_SPAN_SECONDS,
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): ConversationProfileBatch? {
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require(startTime < endTime) { "startTime must be before endTime" }
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val hardMessageLimit = maxMessages.coerceAtLeast(1)
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return openReadConnection().use { connection ->
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val recentRecords = queryConversationMessages(
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connection = connection,
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botId = botId,
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groupId = groupId,
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startTime = startTime,
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endTime = endTime,
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limit = hardMessageLimit.safeIncrement(),
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)
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val records = selectLatestContinuousConversation(
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records = recentRecords,
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idleGapSeconds = idleGapSeconds.coerceAtLeast(0),
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maxMessages = hardMessageLimit,
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maxContentChars = maxContentChars.coerceAtLeast(1),
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maxSpanSeconds = maxSpanSeconds.coerceAtLeast(1),
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maxMessageChars = maxMessageChars,
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)
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if (records.isEmpty()) return@use null
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createConversationBatch(
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botId = botId,
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groupId = groupId,
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startTime = records.first().time,
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endTime = endTime,
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records = records,
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maxMessageChars = maxMessageChars,
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episodeGapSeconds = idleGapSeconds.coerceAtLeast(0),
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)
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}
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}
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fun loadNextConversationBatch(
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botId: Long,
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groupId: Long,
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@@ -429,6 +472,40 @@ class ProfileHistoryReader(private val databaseFile: File) {
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return records.last().time.safeNextSecond()
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}
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private fun selectLatestContinuousConversation(
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records: List<ChatMessageRecord>,
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idleGapSeconds: Int,
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maxMessages: Int,
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maxContentChars: Int,
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maxSpanSeconds: Int,
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maxMessageChars: Int,
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): List<ChatMessageRecord> {
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if (records.isEmpty()) return emptyList()
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val latestTime = records.last().time
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var newerTime = latestTime
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var startIndex = records.lastIndex
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var selectedMessages = 0
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var selectedChars = 0L
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for (index in records.lastIndex downTo 0) {
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val record = records[index]
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if (selectedMessages > 0) {
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val startsEarlierConversation = newerTime.toLong() - record.time > idleGapSeconds
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val exceedsHardSize = selectedMessages >= maxMessages ||
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selectedChars + estimatePromptChars(record, maxMessageChars) > maxContentChars.toLong()
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val exceedsSpan = latestTime.toLong() - record.time > maxSpanSeconds
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if (startsEarlierConversation || exceedsHardSize || exceedsSpan) break
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}
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startIndex = index
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selectedMessages++
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selectedChars += estimatePromptChars(record, maxMessageChars)
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newerTime = record.time
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}
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return records.subList(startIndex, records.size)
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}
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private fun estimatePromptChars(record: ChatMessageRecord, maxMessageChars: Int): Int =
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record.code.length.coerceAtMost(maxMessageChars.coerceAtLeast(80))
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@@ -434,12 +434,11 @@ object UserProfileAnalysisService {
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val model: ConversationProfileModel = ProfileModelClient(endpoint)
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val reader = withContext(Dispatchers.IO) { ProfileHistoryReader(resolveLiveHistoryFile()) }
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val batch = withContext(Dispatchers.IO) {
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reader.loadConversationBatch(
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reader.loadLatestConversationBatch(
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botId = botId,
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groupId = groupId,
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startTime = startTime,
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endTime = endTime,
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messageLimit = PluginConfig.profileAutoConversationMessageLimit.coerceIn(20, 500),
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maxMessageChars = PluginConfig.profileMaxMessageChars.coerceAtLeast(80),
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)
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} ?: return null
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@@ -21,6 +21,7 @@ import top.jie65535.mirai.config.PluginConfig
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import top.jie65535.mirai.data.ContactSnapshotStore
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import top.jie65535.mirai.data.PluginData
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import top.jie65535.mirai.profile.ProfileCategory
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import top.jie65535.mirai.profile.ProfileConfidence
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import top.jie65535.mirai.profile.ProfileItemSupportStats
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import top.jie65535.mirai.profile.ProfilePersistentText
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import top.jie65535.mirai.profile.UserProfileItem
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@@ -163,23 +164,25 @@ class QueryUserProfileAgent : BaseAgent(
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appendLine("条目:")
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selectProfileItems(profile.items)
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.forEach { item ->
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append("- ")
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append(item.category.label()).append('/').append(item.confidence.name.lowercase())
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append(" · ").append(formatDate(item.firstSeenAt))
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if (item.lastConfirmedAt != item.firstSeenAt) {
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append("~").append(formatDate(item.lastConfirmedAt))
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}
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append(" · ").append(formatSupportStats(supportStats[item.id]))
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item.relatedUserId?.let { append(" · related=").append(it) }
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append(":")
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appendLine(ProfilePersistentText.itemForDisplay(
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item.content,
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relationship = item.category == ProfileCategory.RELATIONSHIP_NOTE,
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))
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append("- ").appendLine(formatProfileItem(item, supportStats[item.id]))
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}
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}
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}.trim()
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internal fun formatProfileItem(
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item: UserProfileItem,
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supportStats: ProfileItemSupportStats?,
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): String = buildString {
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item.relatedUserId?.let { append("与用户 ").append(it).append(":") }
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append(ProfilePersistentText.itemForDisplay(
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item.content,
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relationship = item.category == ProfileCategory.RELATIONSHIP_NOTE,
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))
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append("〔").append(item.category.label()).append(',').append(item.confidence.label())
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.append(';').append(formatSupportStats(supportStats))
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.append(";最近确认于 ").append(formatDate(item.lastConfirmedAt)).append("〕")
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}
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private suspend fun loadPublicProfile(userId: Long, event: MessageEvent): UserProfile? {
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val key = "${event.bot.id}:$userId"
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val now = System.currentTimeMillis()
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@@ -221,7 +224,22 @@ class QueryUserProfileAgent : BaseAgent(
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if (fields.isNotEmpty()) appendLine("公开资料卡:${fields.joinToString(";")}")
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}
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private fun ProfileCategory.label(): String = name.lowercase()
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private fun ProfileCategory.label(): String = when (this) {
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ProfileCategory.NOTABLE_FACT -> "事实"
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ProfileCategory.INTEREST -> "兴趣"
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ProfileCategory.EXPERTISE_SIGNAL -> "能力"
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ProfileCategory.THINKING_STYLE -> "思考"
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ProfileCategory.EXPRESSION_STYLE -> "表达"
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ProfileCategory.SOCIAL_MODE -> "社交"
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ProfileCategory.PREFERENCE -> "偏好"
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ProfileCategory.RELATIONSHIP_NOTE -> "关系"
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}
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private fun ProfileConfidence.label(): String = when (this) {
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ProfileConfidence.LOW -> "低置信"
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ProfileConfidence.MEDIUM -> "中置信"
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ProfileConfidence.HIGH -> "高置信"
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}
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private fun formatTime(epochSecond: Int): String =
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TIME_FORMATTER.format(Instant.ofEpochSecond(epochSecond.toLong()))
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@@ -229,16 +247,8 @@ class QueryUserProfileAgent : BaseAgent(
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private fun formatDate(epochSecond: Int): String =
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DATE_FORMATTER.format(Instant.ofEpochSecond(epochSecond.toLong()))
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internal fun formatSupportStats(stats: ProfileItemSupportStats?): String = buildString {
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append("支持=").append(stats?.count ?: 0).append("次")
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stats?.takeIf { it.count > 0 }?.let {
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append("(").append(formatDate(it.firstSupportedAt))
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if (it.lastSupportedAt != it.firstSupportedAt) {
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append("~").append(formatDate(it.lastSupportedAt))
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}
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append(")")
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}
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}
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internal fun formatSupportStats(stats: ProfileItemSupportStats?): String =
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"${stats?.count ?: 0}次支持"
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companion object {
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private const val PUBLIC_PROFILE_TIMEOUT_MS = 5_000L
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@@ -312,6 +312,89 @@ class ProfileHistoryReaderTest {
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}
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}
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@Test
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fun loadsLatestContinuousConversationAcrossFormerMessageLimit() {
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val directory = Files.createTempDirectory("jchatgpt-profile-latest-conversation-test-")
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val database = directory.resolve("history.sqlite")
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try {
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DriverManager.getConnection("jdbc:sqlite:${database.absolutePathString()}").use { connection ->
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connection.createStatement().use { statement ->
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statement.executeUpdate(
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"""
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CREATE TABLE message_record(
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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bot_id INTEGER NOT NULL,
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from_id INTEGER NOT NULL,
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target_id INTEGER NOT NULL,
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ids TEXT,
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internal_ids TEXT,
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time INTEGER NOT NULL,
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kind INTEGER NOT NULL,
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code TEXT NOT NULL,
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recalled INTEGER NOT NULL DEFAULT 0
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)
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""".trimIndent()
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)
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}
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connection.prepareStatement(
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"INSERT INTO message_record(" +
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"bot_id, from_id, target_id, time, kind, code, recalled" +
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") VALUES (1, ?, 50, ?, ?, ?, 0)"
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).use { statement ->
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fun insert(time: Int, text: String) {
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statement.setLong(1, TARGET)
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statement.setInt(2, time)
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statement.setInt(3, MessageSourceKind.GROUP.ordinal)
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statement.setString(4, """[{"type":"PlainText","content":"$text"}]""")
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statement.executeUpdate()
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}
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insert(100, "空窗前的旧消息")
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repeat(160) { index -> insert(2_000 + index, "连续会话消息 $index") }
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repeat(4) { index -> insert(2_159, "同秒高频消息 $index") }
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}
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}
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val reader = ProfileHistoryReader(database.toFile())
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val conversation = assertNotNull(
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reader.loadLatestConversationBatch(
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botId = 1,
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groupId = 50,
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startTime = 0,
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endTime = 3_000,
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maxMessageChars = 200,
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idleGapSeconds = 30,
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maxMessages = 800,
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maxContentChars = 100_000,
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maxSpanSeconds = 5_000,
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)
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)
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assertEquals(164, conversation.messages.size)
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assertEquals(2_000, conversation.startTime)
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assertEquals(2_000, conversation.messages.first().record.time)
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assertEquals(2_159, conversation.messages.last().record.time)
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assertTrue(conversation.messages.all { it.episodeIndex == 1 })
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val hardLimited = assertNotNull(
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reader.loadLatestConversationBatch(
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botId = 1,
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groupId = 50,
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startTime = 0,
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endTime = 3_000,
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maxMessageChars = 200,
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idleGapSeconds = 30,
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maxMessages = 3,
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maxContentChars = 100_000,
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maxSpanSeconds = 5_000,
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)
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)
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assertEquals(3, hardLimited.messages.size)
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assertEquals(listOf(2_159, 2_159, 2_159), hardLimited.messages.map { it.record.time })
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} finally {
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directory.toFile().deleteRecursively()
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}
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}
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companion object {
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private const val TARGET = 100L
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private const val OTHER = 200L
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@@ -23,7 +23,7 @@ class QueryUserProfileAgentTest {
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}
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@Test
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fun formatsSupportCountAndEvidenceRange() {
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fun formatsSupportCountWithoutRepeatingTheEvidenceRange() {
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val output = QueryUserProfileAgent().formatSupportStats(
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ProfileItemSupportStats(
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count = 4,
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@@ -32,8 +32,32 @@ class QueryUserProfileAgentTest {
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)
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)
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assertEquals("支持=4次(2025-01-01~2025-07-03)", output)
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assertEquals("支持=0次", QueryUserProfileAgent().formatSupportStats(null))
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assertEquals("4次支持", output)
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assertEquals("0次支持", QueryUserProfileAgent().formatSupportStats(null))
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}
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@Test
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fun formatsItemContentBeforeCompactMetadataWithOneConfirmationDate() {
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val output = QueryUserProfileAgent().formatProfileItem(
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item = UserProfileItem(
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id = "work",
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category = ProfileCategory.NOTABLE_FACT,
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content = "从事 Java 底层开发",
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confidence = ProfileConfidence.HIGH,
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firstSeenAt = 1_735_689_600,
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lastConfirmedAt = 1_751_472_000,
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),
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supportStats = ProfileItemSupportStats(
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count = 4,
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firstSupportedAt = 1_735_689_600,
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lastSupportedAt = 1_751_472_000,
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),
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)
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assertEquals(
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"从事 Java 底层开发〔事实,高置信;4次支持;最近确认于 2025-07-03〕",
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output,
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)
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}
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private fun item(content: String, firstSeenAt: Int) = UserProfileItem(
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Reference in New Issue
Block a user