update advisor name

README.md

@@ -4,7 +4,7 @@ An AI-powered academic guidance system that provides personalized advice through
 
 ## Features
 
-- **Multiple AI Advisor Personas**: Chat with specialized advisors including Methodist (methodology expert), Theorist (conceptual frameworks), and Pragmatist (action-focused guidance)
+- **Multiple AI Advisor Personas**: Chat with specialized advisors including Methodologist (methodology expert), Theorist (conceptual frameworks), and Pragmatist (action-focused guidance)
 - **Document Upload Support**: Upload PDFs, Word documents, and text files to provide context for your questions
 - **Multi-LLM Backend**: Supports both Gemini API and Ollama models with seamless provider switching
 - **Real-time Chat Interface**: Modern, responsive chat interface with advisor-specific styling
@@ -83,7 +83,7 @@ The application will open at `http://localhost:3000`
 
 ## Advisor Personas
 
-### Methodist - Research Methodology Expert
+### Methodologist - Research Methodology Expert
 - **Focus**: Research design, validity, sampling, methodological rigor
 - **Style**: Precise, analytical, methodology-focused
 - **Best for**: Research design questions, data collection methods, validity concerns

multi_llm_chatbot_backend/app/api/routes.py

@@ -127,7 +127,7 @@ def _is_valid_response(response: str, persona_id: str) -> bool:
 def _get_persona_fallback(persona_id: str) -> str:
     """Get persona-specific fallback responses"""
     fallbacks = {
-        "methodist": "Focus on ensuring your methodology aligns with your research question. What specific method are you considering?",
+        "methodologist": "Focus on ensuring your methodology aligns with your research question. What specific method are you considering?",
         "theorist": "Consider the theoretical framework underlying your approach. What assumptions guide your thinking?",
         "pragmatist": "Let's break this down into actionable steps. What's the most important thing you need to decide today?"
     }
@@ -479,7 +479,7 @@ async def search_documents(request: Request, query: str = Body(..., embed=True),
         
         # Get persona context for search enhancement
         persona_contexts = {
-            "methodist": "methodology research design analysis",
+            "methodologist": "methodology research design analysis",
             "theorist": "theory theoretical framework conceptual",
             "pragmatist": "practical application implementation"
         }

multi_llm_chatbot_backend/app/api/routes_old.py

@@ -95,7 +95,7 @@ def _is_valid_response(response: str, persona_id: str) -> bool:
 def _get_persona_fallback(persona_id: str) -> str:
     """Get persona-specific fallback responses"""
     fallbacks = {
-        "methodist": "Focus on ensuring your methodology aligns with your research question. What specific method are you considering?",
+        "methodologist": "Focus on ensuring your methodology aligns with your research question. What specific method are you considering?",
         "theorist": "Consider the theoretical framework underlying your approach. What assumptions guide your thinking?",
         "pragmatist": "Let's break this down into actionable steps. What's the most important thing you need to decide today?"
     }

multi_llm_chatbot_backend/app/core/context_manager.py

@@ -167,7 +167,7 @@ class ContextManager:
                     "role": "user",
                     "parts": [{"text": content}]
                 })
-            elif role in ['assistant', 'methodist', 'theorist', 'pragmatist']:
+            elif role in ['assistant', 'methodologist', 'theorist', 'pragmatist']:
                 formatted.append({
                     "role": "model",
                     "parts": [{"text": content}]

multi_llm_chatbot_backend/app/core/improved_orchestrator.py

@@ -305,7 +305,7 @@ class ImprovedChatOrchestrator:
     def _get_fallback_response(self, persona_id: str) -> str:
         """Get persona-specific fallback response"""
         fallbacks = {
-            "methodist": "Let's focus on your research methodology. What specific methodological approach are you considering?",
+            "methodologist": "Let's focus on your research methodology. What specific methodological approach are you considering?",
             "theorist": "I'd like to explore the theoretical foundation of your work. What conceptual framework guides your research?",
             "pragmatist": "Let's take a practical approach. What's the most pressing decision you need to make about your research right now?"
         }
@@ -345,7 +345,7 @@ class ImprovedChatOrchestrator:
         based on their specialization
         """
         persona_keywords = {
-            "methodist": "methodology research design analysis methods data collection sampling validity reliability statistical approach quantitative qualitative",
+            "methodologist": "methodology research design analysis methods data collection sampling validity reliability statistical approach quantitative qualitative",
             "theorist": "theory theoretical framework conceptual model literature review philosophy epistemology ontology paradigm abstract concepts",
             "pragmatist": "practical application implementation action steps next steps recommendation solution strategy timeline concrete advice"
         }

multi_llm_chatbot_backend/app/llm/gemini_client.py

@@ -113,8 +113,8 @@ class GeminiClient(LLMClient):
         """Clean up Gemini responses"""
         # Remove common prefixes that indicate AI confusion
         prefixes_to_remove = [
-            "Dr. Methodist:", "Dr. Theorist:", "Dr. Pragmatist:",
-            "Methodist Advisor:", "Theorist Advisor:", "Pragmatist Advisor:",
+            "Dr. Methodologist:", "Dr. Theorist:", "Dr. Pragmatist:",
+            "Methodologist Advisor:", "Theorist Advisor:", "Pragmatist Advisor:",
             "As Dr.", "Here's my response:", "Response:", "Assistant:",
             "Here are 2-3 sentence", "Here's an expansion of the advice:",
         ]

multi_llm_chatbot_backend/app/llm/improved_ollama_client.py

@@ -71,8 +71,8 @@ class ImprovedOllamaClient(LLMClient):
         # Remove common prefixes that indicate AI confusion
         prefixes_to_remove = [
             "Here are 2-3 sentence", "Here's an expansion", "Assistant:",
-            "Dr. Methodist:", "Dr. Theorist:", "Dr. Pragmatist:",
-            "Methodist Advisor:", "Theorist Advisor:", "Pragmatist Advisor:",
+            "Dr. Methodologist:", "Dr. Theorist:", "Dr. Pragmatist:",
+            "Methodologist Advisor:", "Theorist Advisor:", "Pragmatist Advisor:",
         ]
         
         for prefix in prefixes_to_remove:

multi_llm_chatbot_backend/app/llm/short_ollama_client.py

@@ -62,8 +62,8 @@ class ShortResponseOllamaClient(LLMClient):
         # Remove common prefixes
         prefixes_to_remove = [
             "Here are 2-3 sentence", "Here's an expansion", "Assistant:",
-            "Dr. Methodist:", "Dr. Theorist:", "Dr. Pragmatist:",
-            "Methodist Advisor:", "Theorist Advisor:", "Pragmatist Advisor:",
+            "Dr. Methodologist:", "Dr. Theorist:", "Dr. Pragmatist:",
+            "Methodologist Advisor:", "Theorist Advisor:", "Pragmatist Advisor:",
         ]
         
         for prefix in prefixes_to_remove:

multi_llm_chatbot_backend/app/models/default_personas.py

@@ -2,7 +2,7 @@ from app.models.persona import Persona
 
 # Registry of default personas
 DEFAULT_PERSONAS = {
-    "methodist": {
+    "methodologist": {
         "name": "Methodical Advisor",
         "system_prompt": "You are a highly methodical PhD advisor. Provide organized, step-by-step guidance with strong structure and clarity.",
         "default_temperature": 5

multi_llm_chatbot_backend/app/tests/debug_rag.py

@@ -16,7 +16,7 @@ def test_direct_search():
     print("🔍 Testing direct document search...")
     
     test_queries = [
-        {"query": "research methodology approach", "persona": "methodist"},
+        {"query": "research methodology approach", "persona": "methodologist"},
         {"query": "theoretical framework theory", "persona": "theorist"},
         {"query": "practical steps implementation", "persona": "pragmatist"}
     ]
@@ -55,7 +55,7 @@ def test_single_persona_chat():
     """Test individual persona chat to isolate issues"""
     print("\n💬 Testing individual persona chat...")
     
-    personas = ["methodist", "theorist", "pragmatist"]
+    personas = ["methodologist", "theorist", "pragmatist"]
     query = "What research methodology should I use based on the uploaded document?"
     
     for persona in personas:

multi_llm_chatbot_backend/app/tests/test_rag_system.py

@@ -65,7 +65,7 @@ def test_rag_system():
     print("🔍 Test 3: Testing direct document search...")
     
     search_queries = [
-        {"query": "What methodology should I use?", "persona": "methodist"},
+        {"query": "What methodology should I use?", "persona": "methodologist"},
         {"query": "What is the theoretical framework?", "persona": "theorist"},
         {"query": "What are the next steps?", "persona": "pragmatist"}
     ]

phd-advisor-frontend/src/data/advisors.js

@@ -1,8 +1,8 @@
 import { BookOpen, Target, Brain } from 'lucide-react';
 
 export const advisors = {
-  methodist: {
-    name: 'Methodist',
+  methodologist: {
+    name: 'Methodologist',
     role: 'Methodical Advisor',
     // Light theme colors
     color: '#3B82F6',
@@ -53,7 +53,7 @@ export const getAdvisorColors = (advisorId, isDark = false) => {
     // For text that needs to be readable on colored backgrounds
     textColor: isDark ? '#F9FAFB' : 
                 advisor.color === '#10B981' ? '#047857' : // Darker green for pragmatist
-                advisor.color === '#3B82F6' ? '#1D4ED8' : // Darker blue for methodist  
+                advisor.color === '#3B82F6' ? '#1D4ED8' : // Darker blue for methodologist  
                 advisor.color === '#8B5CF6' ? '#7C3AED' : // Darker purple for theorist
                 '#374151' // fallback
   };