Merge pull request #62 from SuanmoSuanyangTechnology/feature/workflow_zy

Feature/workflow zy

web/src/i18n/en.ts

@@ -1229,6 +1229,23 @@ export const en = {
       growth_trajectory: 'Growth Trajectory',
       personality: 'Personality Traits',
       core_values: 'Core Values',
+
+      Statement_emotion_keywords: 'Emotion Keywords',
+      Statement_emotion_type: 'Emotion Type',
+      Statement_emotion_subject: 'Emotion Subject',
+      Statement_importance_score: 'Importance Score',
+
+      ExtractedEntity_description: 'Description',
+      ExtractedEntity_name: 'Content',
+      ExtractedEntity_entity_type: 'Type',
+      ExtractedEntity_created_at: 'Created At',
+      ExtractedEntity_aliases: 'Aliases',
+      ExtractedEntity_connect_strngth: 'Connection Strength',
+      ExtractedEntity_importance_score: 'Importance Score',
+
+      associative_memory: 'Associative Memory',
+      unix: 'items',
+      completeMemory: 'Complete Memory',
     },
     space: {
       createSpace: 'Create Space',
@@ -2156,5 +2173,107 @@ Memory Bear: After the rebellion, regional warlordism intensified for several re
       orderPayInfo: 'Payment Information',
       create_time: 'Creation Time',
     },
+    forgetDetail: {
+      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.',
+      overviewTitle: 'Core Metrics Overview',
+      totalMemory: 'Total Memory',
+      MemoryHealth: 'Memory Health',
+      riskOfForgetting: 'Forgetting Risk',
+      statement_count: 'Statements',
+      entity_count: 'Entities',
+      summary_count: 'Summaries',
+      chunk_count: 'Chunks',
+      healthStatus: 'Health Status',
+      average: 'Average Activation Value',
+      threshold: 'Threshold Reference:',
+      unhealthy: 'Unhealthy',
+      healthy: 'Healthy',
+      low_nodes: 'Low Activation Nodes',
+      memoryHealthVisualization: 'Memory Health Visualization',
+      activationValueDistribution: 'Activation Value Distribution',
+      forgettingTrend: 'Forgetting Trend (Last 7 Days)',
+
+      nodes_without_activation: 'Observation Zone',
+      low_activation_nodes: 'Forgetting Zone',
+      health_nodes: 'Healthy Zone',
+      average_activation: 'Average Activation Value',
+      merged_count: 'Daily Merged Node Count',
+
+      pending_nodes: 'Risk Node Forgetting Pool',
+      content_summary: 'Content Summary',
+      node_type: 'Node Type',
+      last_access_time: 'Last Activation Time',
+      activation_value: 'Current Activation Value',
+    },
+    episodicDetail: {
+      title: 'Record every important scene you have truly experienced',
+      total_all: 'Total Episodic Memories',
+      all: "All",
+      today: 'Today',
+      this_week: 'This Week',
+      this_month: 'This Month',
+      conversation: "Conversation",
+      project_work: "Project/Work",
+      learning: "Learning",
+      decision: "Decision",
+      important_event: "Important Event",
+      titleKeywordPlaceholder: 'Search episode title or content',
+      curResult: 'Current Filter Results',
+      unix: 'items',
+      created: 'Occurrence Time',
+      episodic_type: 'Episode Type',
+      involved_objects: 'Involved Objects',
+      content_records: 'Episode Content Records',
+      emotion: 'Emotion and State Records',
+    },
+    implicitDetail: {
+      title: 'The invisible forces that shaped me',
+      preferences: 'My Subconscious Preferences',
+      preferencesDetail: 'Association Network',
+      portraitTitle: 'My Subconscious Portrait',
+      portraitSubTitle: 'Personalized insights generated by AI based on your preference tags',
+      portrait: 'Core Traits',
+      aesthetic: 'Aesthetic Driven',
+      creativity: 'Creative Thinking',
+      literature: 'Cultural Sensitivity',
+      technology: 'Technology Affinity',
+      interestAreas: 'Interest Area Distribution',
+      art: 'Art & Design',
+      music: 'Music & Culture',
+      tech: 'Technology & Future',
+      lifestyle: 'Lifestyle',
+      habits: 'User Habit Analysis',
+      habitsSubTitle: 'Habit characteristics identified based on your behavior patterns',
+      context_details: 'Preference Details',
+      supporting_evidence: 'Preference Source',
+      specific_examples: 'Source',
+    },
+    shortTermDetail: {
+      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.',
+      retrieval_number: 'Retrieval Count',
+      entity: 'Extracted Entities',
+      long_term_number: 'Long-term Candidates',
+      shortTermTitle: 'Deep Retrieval & Extended Answer Area',
+      shortTermSubTitle: 'Stores deep information retrieval performed to answer questions and the extended answers generated from it, including original questions, retrieved information, and generated answers.',
+      longTermTitle: 'Long-term Memory Candidate Pool',
+      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.',
+      answer: 'Answer',
+      query: 'Question',
+      noAnswer: 'No reply yet',
+    },
+    perceptualDetail: {
+      last_visual: 'Visual Perception Stream',
+      last_listen: 'Auditory Perception Stream',
+      last_text: 'Text Perception',
+      summary: 'Summary',
+      keywords: 'Keywords',
+      topic: 'Topic',
+      domain: 'Domain',
+      scene: 'Scene',
+      speaker_count: 'Number of Speakers',
+      section_count: 'Number of Sections',
+      timeLine: 'Perception Timeline',
+      lastInfo: 'Real-time Perception Dashboard',
+    }
   },
 };