Merge pull request #62 from SuanmoSuanyangTechnology/feature/workflow_zy
Feature/workflow zy
This commit is contained in:
yingzhao
@@ -1229,6 +1229,23 @@ export const en = {
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growth_trajectory: 'Growth Trajectory',
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personality: 'Personality Traits',
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core_values: 'Core Values',
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Statement_emotion_keywords: 'Emotion Keywords',
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Statement_emotion_type: 'Emotion Type',
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Statement_emotion_subject: 'Emotion Subject',
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Statement_importance_score: 'Importance Score',
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ExtractedEntity_description: 'Description',
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ExtractedEntity_name: 'Content',
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ExtractedEntity_entity_type: 'Type',
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ExtractedEntity_created_at: 'Created At',
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ExtractedEntity_aliases: 'Aliases',
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ExtractedEntity_connect_strngth: 'Connection Strength',
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ExtractedEntity_importance_score: 'Importance Score',
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associative_memory: 'Associative Memory',
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unix: 'items',
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completeMemory: 'Complete Memory',
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},
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space: {
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createSpace: 'Create Space',
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@@ -2156,5 +2173,107 @@ Memory Bear: After the rebellion, regional warlordism intensified for several re
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orderPayInfo: 'Payment Information',
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create_time: 'Creation Time',
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},
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forgetDetail: {
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title: 'The forgetting management system helps AI intelligently manage memory lifecycle by automatically identifying low-value memories, setting forgetting strategies, and executing regular cleanup to optimize memory storage space and improve retrieval efficiency.',
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overviewTitle: 'Core Metrics Overview',
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totalMemory: 'Total Memory',
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MemoryHealth: 'Memory Health',
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riskOfForgetting: 'Forgetting Risk',
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statement_count: 'Statements',
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entity_count: 'Entities',
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summary_count: 'Summaries',
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chunk_count: 'Chunks',
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healthStatus: 'Health Status',
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average: 'Average Activation Value',
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threshold: 'Threshold Reference:',
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unhealthy: 'Unhealthy',
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healthy: 'Healthy',
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low_nodes: 'Low Activation Nodes',
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memoryHealthVisualization: 'Memory Health Visualization',
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activationValueDistribution: 'Activation Value Distribution',
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forgettingTrend: 'Forgetting Trend (Last 7 Days)',
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nodes_without_activation: 'Observation Zone',
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low_activation_nodes: 'Forgetting Zone',
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health_nodes: 'Healthy Zone',
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average_activation: 'Average Activation Value',
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merged_count: 'Daily Merged Node Count',
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pending_nodes: 'Risk Node Forgetting Pool',
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content_summary: 'Content Summary',
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node_type: 'Node Type',
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last_access_time: 'Last Activation Time',
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activation_value: 'Current Activation Value',
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},
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episodicDetail: {
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title: 'Record every important scene you have truly experienced',
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total_all: 'Total Episodic Memories',
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all: "All",
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today: 'Today',
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this_week: 'This Week',
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this_month: 'This Month',
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conversation: "Conversation",
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project_work: "Project/Work",
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learning: "Learning",
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decision: "Decision",
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important_event: "Important Event",
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titleKeywordPlaceholder: 'Search episode title or content',
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curResult: 'Current Filter Results',
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unix: 'items',
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created: 'Occurrence Time',
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episodic_type: 'Episode Type',
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involved_objects: 'Involved Objects',
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content_records: 'Episode Content Records',
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emotion: 'Emotion and State Records',
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},
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implicitDetail: {
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title: 'The invisible forces that shaped me',
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preferences: 'My Subconscious Preferences',
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preferencesDetail: 'Association Network',
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portraitTitle: 'My Subconscious Portrait',
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portraitSubTitle: 'Personalized insights generated by AI based on your preference tags',
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portrait: 'Core Traits',
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aesthetic: 'Aesthetic Driven',
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creativity: 'Creative Thinking',
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literature: 'Cultural Sensitivity',
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technology: 'Technology Affinity',
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interestAreas: 'Interest Area Distribution',
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art: 'Art & Design',
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music: 'Music & Culture',
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tech: 'Technology & Future',
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lifestyle: 'Lifestyle',
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habits: 'User Habit Analysis',
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habitsSubTitle: 'Habit characteristics identified based on your behavior patterns',
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context_details: 'Preference Details',
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supporting_evidence: 'Preference Source',
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specific_examples: 'Source',
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},
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shortTermDetail: {
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title: 'Short-term memory is the "workbench" of the AI system, connecting instant conversations with long-term knowledge bases. Through real-time capture, deep retrieval, intelligent extraction and filtering transformation, temporary unstructured information is converted into valuable long-term knowledge.',
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retrieval_number: 'Retrieval Count',
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entity: 'Extracted Entities',
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long_term_number: 'Long-term Candidates',
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shortTermTitle: 'Deep Retrieval & Extended Answer Area',
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shortTermSubTitle: 'Stores deep information retrieval performed to answer questions and the extended answers generated from it, including original questions, retrieved information, and generated answers.',
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longTermTitle: 'Long-term Memory Candidate Pool',
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longTermSubTitle: 'Aggregates short-term memory, filters and prepares content for storage in long-term memory. This is the "transfer station" and "filter" from short-term to long-term memory.',
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answer: 'Answer',
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query: 'Question',
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noAnswer: 'No reply yet',
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},
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perceptualDetail: {
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last_visual: 'Visual Perception Stream',
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last_listen: 'Auditory Perception Stream',
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last_text: 'Text Perception',
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summary: 'Summary',
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keywords: 'Keywords',
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topic: 'Topic',
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domain: 'Domain',
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scene: 'Scene',
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speaker_count: 'Number of Speakers',
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section_count: 'Number of Sections',
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timeLine: 'Perception Timeline',
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lastInfo: 'Real-time Perception Dashboard',
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}
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},
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};
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@@ -1310,6 +1310,23 @@ export const zh = {
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growth_trajectory: '成长轨迹',
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personality: '性格特点',
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core_values: '核心价值观',
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Statement_emotion_keywords: '情感关键词',
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Statement_emotion_type: '情感类型',
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Statement_emotion_subject: '情感主体',
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Statement_importance_score: '重要性评分',
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ExtractedEntity_description: '描述',
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ExtractedEntity_name: '内容',
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ExtractedEntity_entity_type: '类型',
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ExtractedEntity_created_at: '创建时间',
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ExtractedEntity_aliases: '别名',
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ExtractedEntity_connect_strngth: '连接强度',
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ExtractedEntity_importance_score: '重要性评分',
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associative_memory: '关联记忆',
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unix: '个',
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completeMemory: '完整记忆',
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},
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space: {
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createSpace: '创建空间',
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@@ -2262,6 +2279,101 @@ export const zh = {
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totalMemory: '记忆总量',
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MemoryHealth: '记忆健康度',
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riskOfForgetting: '遗忘风险',
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statement_count: '陈述',
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entity_count: '实体',
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summary_count: '摘要',
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chunk_count: '片段',
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healthStatus: '健康状态',
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average: '平均激活值',
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threshold: '阈值参考：',
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unhealthy: '不健康',
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healthy: '健康',
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low_nodes: '低激活节点',
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memoryHealthVisualization: '记忆健康可视化',
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activationValueDistribution: '激活值分布',
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forgettingTrend: '遗忘趋势（近7天）',
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nodes_without_activation: '观察区',
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low_activation_nodes: '遗忘区',
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health_nodes: '健康区',
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average_activation: '平均激活值',
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merged_count: '每日融合节点数',
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pending_nodes: '风险节点遗忘池',
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content_summary: '内容摘要',
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node_type: '节点类型',
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last_access_time: '最后激活时间',
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activation_value: '当前激活值',
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},
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episodicDetail: {
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title: '记录你真实经历过的每一个重要场景',
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total_all: '情景记忆总数',
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all: "全部",
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today: '今天',
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this_week: '本周',
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this_month: '本月',
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conversation: "对话",
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project_work: "项目/工作",
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learning: "学习",
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decision: "决策",
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important_event: "重要事件",
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titleKeywordPlaceholder: '搜索情景标题或内容',
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curResult: '当前筛选结果',
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unix: '条',
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created: '发生时间',
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episodic_type: '情景类型',
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involved_objects: '涉及对象',
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content_records: '情景内容记录',
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emotion: '情绪与状态记录',
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},
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implicitDetail: {
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title: '那些塑造了我的无形力量',
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preferences: '我的潜意识偏好',
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preferencesDetail: '的联想网络',
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portraitTitle: '我的潜意识画像',
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portraitSubTitle: '基于您的偏好标签，AI为您生成的个性化洞察',
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portrait: '核心特质',
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aesthetic: '审美驱动',
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creativity: '创造性思维',
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literature: '文化敏感度',
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technology: '技术亲和力',
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interestAreas: '兴趣领域分布',
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art: '艺术与设计',
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music: '音乐与文化',
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tech: '科技与未来',
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lifestyle: '生活方式',
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habits: '用户习惯分析',
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habitsSubTitle: '基于您的行为模式识别的习惯特征',
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context_details: '偏好详情',
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supporting_evidence: '偏好来源',
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specific_examples: '来源',
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},
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shortTermDetail: {
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title: '短期记忆是AI系统的"工作台"，连接即时对话与长期知识库。通过实时捕获、深度检索、智能提取和筛选转化，将临时的非结构化信息转化为有价值的长期知识。',
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retrieval_number: '检索次数',
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entity: '提取实体',
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long_term_number: '长期候选',
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shortTermTitle: '深度检索与扩展答案区',
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shortTermSubTitle: '存放为回答问题而进行的深度信息检索和由此生成的扩展答案，包含原始问题、检索信息和生成答案。',
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longTermTitle: '长期记忆候选池',
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longTermSubTitle: '聚合短期记忆，筛选并准备存入长期记忆的内容。这是从短时记忆到长时记忆的"中转站"和"过滤器"。',
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answer: '回答',
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query: '问题',
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noAnswer: '暂无回复',
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},
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perceptualDetail: {
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last_visual: '视觉感知流',
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last_listen: '听觉感知流',
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last_text: '文本感知',
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summary: '摘要',
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keywords: '关键词',
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topic: '主题',
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domain: '领域',
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scene: '场景',
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speaker_count: '对话人数',
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section_count: '段落数',
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timeLine: '感知时间线',
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lastInfo: '实时感知仪表盘',
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}
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},
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}
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