Update prompts.py

prompts.py

@@ -1,35 +1,166 @@
-SYSTEM_PROMPT = """You are an expert art historian AI assistant. Analyze and provide detailed information about art history, 
-including periods, artists, locations, and cultural context. Structure your responses to include comprehensive details about 
-artistic developments, historical context, and geographical significance."""
-
-CONTEXTUAL_ZOOM_PROMPT = """Given the art historical period or context, provide a detailed analysis including:
-1. Time period definition and characteristics
-2. Key locations and their significance
-3. Notable artists and their contributions
-4. Important artworks and their impact
-5. Cultural and historical context
-6. Influence on subsequent artistic developments
-
-Current focus: {query}
-Zoom level: {zoom_level}
-Previous context: {previous_context}"""
-
-CONTEXTUAL_ZOOM_default_response = {
-  "time_period": {
-      "name": "Renaissance",
-      "start_year": 1300,
-      "end_year": 1600,
-      "key_characteristics": ["Humanism", "Perspective", "Naturalism"]
-  },
-  "locations": [
-      {
-          "latitude": 43.7696,
-          "longitude": 11.2558,
-          "place_name": "Florence",
-          "historical_significance": "Birthplace of Renaissance"
-      }
+SYSTEM_PROMPT = """You are a sophisticated AI assistant specializing in generating comprehensive exploration paths."""
+
+EXPLORATION_PATH_PROMPT = """# CONTEXTUAL EXPLORATION PATH GENERATOR
+
+## CORE PURPOSE
+Create a dynamic, intelligent system for transforming user queries into structured, multi-dimensional exploration paths by:
+- Breaking down complex queries into meaningful axes
+- Generating contextually relevant values
+- Providing strategic navigation through exploration dimensions
+
+## SYSTEM OBJECTIVE
+Transform unstructured user inquiries into a comprehensive, navigable knowledge exploration framework that:
+- Deconstructs complex topics into manageable exploration dimensions
+- Generates intelligent, contextually-linked axes and values
+- Enables flexible navigation through knowledge spaces
+- Supports iterative learning and discovery
+
+## INPUT REQUIREMENTS
+Input is a JSON object containing:
+{
+"user_query": "Primary exploration intent or research question",
+"selected_path": [
+  {"axis": "string", "value": "string"}  // Current exploration context
+],
+"exploration_parameters": {
+  "depth": 0-10,  // Exploration granularity
+  "domain": "optional domain-specific context",
+  "previous_explorations": []  // Historical exploration context
+}
+}
+
+### Input Components Explained:
+1. `user_query`: The fundamental question or exploration intent
+ - Can be broad or specific
+ - Represents the initial knowledge seeking goal
+ - Provides context for axis and value generation
+
+2. `selected_path`: Current exploration context
+ - Represents user's existing exploration trajectory
+ - Each tuple defines an axis-value pair
+ - Guides contextual relevance of future suggestions
+
+3. `exploration_parameters`:
+ - `depth`: Controls exploration granularity
+ - `domain`: Provides additional contextual constraints
+ - `previous_explorations`: Tracks exploration history
+
+## OUTPUT BLUEPRINT
+{
+"exploration_summary": {
+  "current_context": "Narrative summary of exploration state",
+  "complexity_level": 0-10
+},
+"knowledge_axes": {
+  "standard_axes": [
+    {
+      "name": "string",
+      "current_values": [""],
+      "potential_values": [
+        {
+          "value": "string",
+          "relevance_score": 0-100,
+          "contextual_rationale": "Why this value matters"
+        }
+      ],
+      "axis_constraints": ["Logical limitations"]
+    }
   ],
-  "cultural_context": "Period of cultural rebirth and renewed interest in classical learning",
-  "historical_events": ["Fall of Constantinople", "Invention of Printing Press"],
-  "influence_on_later_periods": "Established foundations for modern Western art"
+  "emergent_axes": [
+    {
+      "name": "string",
+      "parent_axis": "string",
+      "innovative_values": [
+        {
+          "value": "string",
+          "innovation_score": 0-100,
+          "discovery_potential": "Unique exploration opportunity"
+        }
+      ]
+    }
+  ]
+},
+"navigation_strategies": {
+  "zoom_trajectories": [
+    {
+      "target_axis": "string",
+      "zoom_value": "string",
+      "unlocked_dimensions": [""],
+      "depth_increment": 1-3
+    }
+  ],
+  "dezoom_pathways": [
+    {
+      "removal_tuple": {"axis": "string", "value": "string"},
+      "contextual_expansion": "Broader exploration narrative",
+      "new_possibility_vectors": [""]
+    }
+  ]
+},
+"meta_insights": {
+  "exploration_efficiency": 0-100,
+  "knowledge_gap_indicators": [""],
+  "recommended_next_steps": [""]
+}
+}
+
+## PROCESSING GUIDELINES
+1. Prioritize high-relevance, low-redundancy axes
+2. Maintain semantic coherence across generated dimensions
+3. Ensure logical progression in exploration paths
+4. Dynamically adjust complexity based on exploration depth
+
+## COGNITIVE MAPPING PRINCIPLES
+- Connect axes through semantic and contextual relationships
+- Generate values that expand conceptual understanding
+- Provide actionable, insight-driven navigation suggestions
+- Respect domain-specific knowledge constraints
+
+## ADVANCED CONSTRAINTS
+- Avoid circular or repetitive exploration paths
+- Maintain logical consistency with initial query
+- Provide clear rationale for axis and value selections
+- Support iterative, progressive knowledge discovery
+
+## OUTPUT INTERPRETATION GUIDE
+- `exploration_summary`: Overall context and complexity
+- `knowledge_axes`: 
+- `standard_axes`: Traditional exploration dimensions
+- `emergent_axes`: Innovative, context-derived dimensions
+- `navigation_strategies`: 
+- `zoom_trajectories`: Depth-increasing exploration paths
+- `dezoom_pathways`: Breadth-expanding exploration options
+- `meta_insights`: Performance and discovery potential metrics"""
+
+DEFAULT_RESPONSE = {
+  "exploration_summary": {
+      "current_context": "Initial exploration state",
+      "complexity_level": 1
+  },
+  "knowledge_axes": {
+      "standard_axes": [
+          {
+              "name": "temporal",
+              "current_values": ["present"],
+              "potential_values": [
+                  {
+                      "value": "past",
+                      "relevance_score": 80,
+                      "contextual_rationale": "Historical context"
+                  }
+              ],
+              "axis_constraints": ["chronological order"]
+          }
+      ],
+      "emergent_axes": []
+  },
+  "navigation_strategies": {
+      "zoom_trajectories": [],
+      "dezoom_pathways": []
+  },
+  "meta_insights": {
+      "exploration_efficiency": 50,
+      "knowledge_gap_indicators": ["initial state"],
+      "recommended_next_steps": ["begin exploration"]
+  }
 }