diff --git a/backend/requirements.txt b/backend/requirements.txt index 6dcf7731d..8ebb24d43 100644 --- a/backend/requirements.txt +++ b/backend/requirements.txt @@ -54,3 +54,4 @@ tzdata==2024.1 urllib3==2.2.1 uvicorn==0.29.0 watchfiles==0.21.0 +openai==1.54.3 diff --git a/backend/server/routers/chatbot.py b/backend/server/routers/chatbot.py new file mode 100644 index 000000000..70cc1003d --- /dev/null +++ b/backend/server/routers/chatbot.py @@ -0,0 +1,297 @@ +""" +APIs for the /chatbot/ route. +""" +import logging +from typing import Annotated, List, Optional, Dict, Any +from fastapi import APIRouter, HTTPException, Security +from pydantic import BaseModel + +from server.routers.utility.sessions.middleware import HTTPBearerToUserID +from server.routers.utility.user import get_setup_user +from server.services.grok_service import get_groq_service +from server.routers.utility.common import get_course_details, get_program_structure + +logger = logging.getLogger(__name__) + +router = APIRouter( + prefix="/chatbot", + tags=["chatbot"], +) + +require_uid = HTTPBearerToUserID() + + +class ChatMessage(BaseModel): + role: str # "user" or "assistant" + content: str + + +class ChatRequest(BaseModel): + message: str + conversation_history: Optional[List[ChatMessage]] = None + + +class ChatResponse(BaseModel): + response: str + + +def get_course_info_safe(code: str) -> Optional[dict]: + """Safely get course details, returning None if not found""" + try: + return get_course_details(code) + except Exception: + return None + + +def get_verified_course_info(code: str, exclude_unscheduled: bool = True) -> Optional[str]: + """ + Get verified course info string, or None if course doesn't exist. + If exclude_unscheduled is True, returns None for courses not currently offered. + """ + course = get_course_info_safe(code) + if not course: + return None + + terms = course.get('terms', []) + if exclude_unscheduled and not terms: + return None # Don't suggest courses that aren't scheduled + + terms_str = ', '.join(terms) if terms else 'Not scheduled' + title = course.get('title', 'Unknown') + uoc = course.get('UOC', 6) + prereqs = course.get('raw_requirements', '') + if not prereqs: + prereqs = 'None' + return f"{code}: {title} ({uoc} UOC, Terms: {terms_str}, Prerequisites: {prereqs[:150]})" + + +def compute_degree_progress(user_data: dict) -> Dict[str, Any]: + """ + Pre-compute exact degree progress with verified course data. + Returns structured data that the AI cannot misinterpret. + """ + result = { + "program": "", + "specializations": [], + "total_uoc_required": 0, + "completed_uoc": 0, + "remaining_uoc": 0, + "completed_courses": [], + "requirements": [], + "verified_suggestions": [] + } + + degree = user_data.get('degree', {}) + program_code = degree.get('programCode', '') + specs = degree.get('specs', []) + + result["program"] = program_code + result["specializations"] = specs + + # Get user's completed courses with verification + user_courses = user_data.get('courses', {}) + completed_codes = set(user_courses.keys()) + + # Verify each completed course exists + for code in completed_codes: + course_info = get_course_info_safe(code) + if course_info: + result["completed_courses"].append({ + "code": code, + "title": course_info.get('title', 'Unknown'), + "uoc": course_info.get('UOC', 6) + }) + + result["completed_uoc"] = sum(c["uoc"] for c in result["completed_courses"]) + + # Get program structure + if not program_code: + return result + + try: + structure, total_uoc = get_program_structure(program_code, specs=specs) + result["total_uoc_required"] = total_uoc + result["remaining_uoc"] = max(0, total_uoc - result["completed_uoc"]) + except Exception as e: + logger.warning(f"Could not get program structure: {e}") + return result + + # Process each requirement category + for section_name, section_data in structure.items(): + if section_name in ['Rules']: + continue + + for group_name, group_data in section_data.get('content', {}).items(): + if not isinstance(group_data, dict): + continue + + required_uoc = group_data.get('UOC', 0) + courses_dict = group_data.get('courses', {}) + + if not courses_dict: + continue + + available_codes = list(courses_dict.keys()) + + # Calculate what's completed in this category + completed_in_group = [c for c in available_codes if c in completed_codes] + completed_group_uoc = 0 + for code in completed_in_group: + course_info = get_course_info_safe(code) + if course_info: + completed_group_uoc += course_info.get('UOC', 6) + + remaining_group_uoc = max(0, required_uoc - completed_group_uoc) + + # Determine requirement type + is_core = 'core' in group_name.lower() or 'prescribed' in group_name.lower() + total_available = len(available_codes) * 6 + is_elective = total_available > required_uoc * 1.5 + + req_type = "ELECTIVE" if is_elective else "REQUIRED" + + # Get VERIFIED remaining options (courses that actually exist) + remaining_options = [] + for code in available_codes: + if code not in completed_codes: + verified = get_verified_course_info(code) + if verified: + remaining_options.append(verified) + if len(remaining_options) >= 10: # Limit to 10 verified options + break + + result["requirements"].append({ + "section": section_name, + "group": group_name, + "type": req_type, + "required_uoc": required_uoc, + "completed_uoc": completed_group_uoc, + "remaining_uoc": remaining_group_uoc, + "completed_courses": completed_in_group, + "available_options": remaining_options, + "total_options_count": len([c for c in available_codes if c not in completed_codes]) + }) + + return result + + +def format_verified_context(progress: Dict[str, Any]) -> str: + """Format the pre-computed progress into a clear context string""" + lines = [] + + lines.append("=" * 60) + lines.append("VERIFIED DEGREE PROGRESS (All data below is factual)") + lines.append("=" * 60) + + lines.append(f"\nProgram: {progress['program']}") + if progress['specializations']: + lines.append(f"Specializations: {', '.join(progress['specializations'])}") + + lines.append(f"\nTotal UOC Required: {progress['total_uoc_required']}") + lines.append(f"UOC Completed: {progress['completed_uoc']}") + lines.append(f"UOC Remaining: {progress['remaining_uoc']}") + + lines.append(f"\n--- COMPLETED COURSES ({len(progress['completed_courses'])} courses) ---") + for course in progress['completed_courses']: + lines.append(f" ✓ {course['code']}: {course['title']} ({course['uoc']} UOC)") + + lines.append("\n--- DEGREE REQUIREMENTS STATUS ---") + for req in progress['requirements']: + if req['remaining_uoc'] <= 0: + lines.append(f"\n✓ {req['group']} - COMPLETE") + continue + + lines.append(f"\n▸ {req['group']} [{req['type']}]") + lines.append(f" Need: {req['remaining_uoc']} more UOC (completed {req['completed_uoc']}/{req['required_uoc']} UOC)") + + if req['completed_courses']: + lines.append(f" Already done: {', '.join(req['completed_courses'][:5])}") + + if req['type'] == "REQUIRED": + lines.append(f" MUST TAKE these courses:") + else: + lines.append(f" CHOOSE from these options (pick enough to reach {req['remaining_uoc']} UOC):") + + for option in req['available_options'][:6]: + lines.append(f" • {option}") + + if req['total_options_count'] > 6: + lines.append(f" ... and {req['total_options_count'] - 6} more options") + + lines.append("\n" + "=" * 60) + + return "\n".join(lines) + + +@router.post("/chat", response_model=ChatResponse) +def chat_with_bot(request: ChatRequest, uid: Annotated[str, Security(require_uid)]): + """ + Chat endpoint that uses Grok API to help users plan courses and learn about courses. + Pre-computes and verifies all course data to prevent hallucination. + """ + try: + # Get user data and pre-compute verified degree progress + user_data = get_setup_user(uid) + progress = compute_degree_progress(user_data) + verified_context = format_verified_context(progress) + + # Build system prompt with extremely strict instructions + system_prompt = f"""You are Cayman, a course planning assistant for UNSW students. + +## ABSOLUTE RULES - VIOLATION WILL CAUSE HARM TO STUDENTS: + +1. **NEVER invent course codes.** Every course code you mention MUST appear in the VERIFIED DATA below. + - If you write a course code that isn't in the data, you are LYING to the student. + - Course codes are 4 letters + 4 numbers (e.g., COMP1511). Do NOT make them up. + +2. **The COMPLETED COURSES list is FACT.** Do NOT tell a student they haven't completed a course if it appears in the completed list. That would be a LIE. + +3. **Only suggest courses from the "CHOOSE from these options" lists.** Those are the ONLY verified courses. + +4. **For ELECTIVE requirements:** Students need X UOC total. Suggest 2-3 courses from the verified list. Do NOT list all options. + +5. **For General Education:** Usually only 12 UOC needed (2 courses). Suggest 2-3 from the verified options. + +6. **If asked about a course not in the data:** Say "I don't have verified information about that course." + +## VERIFIED DEGREE DATA (This is the ONLY source of truth): + +{verified_context} + +## YOUR TASK: +- Answer the student's question using ONLY the verified data above +- When suggesting courses, copy them EXACTLY from the options listed +- Be helpful but NEVER make up information +- Keep responses concise + +## RESPONSE FORMAT: +Use Markdown. Bold course codes. Use short lists. Be direct.""" + + # Build messages array + messages = [{"role": "system", "content": system_prompt}] + + # Add conversation history if provided + if request.conversation_history: + for msg in request.conversation_history: + messages.append({"role": msg.role, "content": msg.content}) + + # Add current user message + messages.append({"role": "user", "content": request.message}) + + # Call Groq API with very low temperature for factual responses + groq_service = get_groq_service() + response_text = groq_service.chat_completion(messages, temperature=0.1) + + return ChatResponse(response=response_text) + + except ValueError as e: + import traceback + logger.error(f"Configuration error in chatbot: {str(e)}") + logger.error(traceback.format_exc()) + raise HTTPException(status_code=500, detail=f"Configuration error: {str(e)}") + except Exception as e: + import traceback + logger.error(f"Error in chatbot endpoint: {str(e)}") + logger.error(traceback.format_exc()) + raise HTTPException(status_code=500, detail=f"Error processing chat request: {str(e)}") + diff --git a/backend/server/server.py b/backend/server/server.py index 62dd21397..a7155425b 100644 --- a/backend/server/server.py +++ b/backend/server/server.py @@ -7,7 +7,7 @@ from data.config import LIVE_YEAR from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware -from server.routers import auth, courses, followups, planner, programs, specialisations, user +from server.routers import auth, chatbot, courses, followups, planner, programs, specialisations, user @asynccontextmanager async def on_setup_and_shutdown(_app: FastAPI): @@ -54,6 +54,7 @@ async def on_setup_and_shutdown(_app: FastAPI): app.include_router(specialisations.router) app.include_router(user.router) app.include_router(followups.router) +app.include_router(chatbot.router) if os.getenv("APP_ENV") == "dev": from server.routers import dev app.include_router(dev.router) diff --git a/backend/server/services/__init__.py b/backend/server/services/__init__.py new file mode 100644 index 000000000..92ccebc02 --- /dev/null +++ b/backend/server/services/__init__.py @@ -0,0 +1,2 @@ +"""Services module""" + diff --git a/backend/server/services/grok_service.py b/backend/server/services/grok_service.py new file mode 100644 index 000000000..dcd2d4bb5 --- /dev/null +++ b/backend/server/services/grok_service.py @@ -0,0 +1,87 @@ +""" +Service for interacting with Groq API +""" +import logging +import os +from typing import List, Dict +from openai import OpenAI + +logger = logging.getLogger(__name__) + +class GroqService: + """Service class for Groq API interactions""" + + def __init__(self): + api_key = os.getenv("GROQ_API_KEY") + if not api_key: + raise ValueError("GROQ_API_KEY environment variable is not set") + + # Groq API uses OpenAI-compatible format + try: + # Explicitly create httpx client to avoid version compatibility issues + import httpx + http_client = httpx.Client( + timeout=60.0, + limits=httpx.Limits(max_keepalive_connections=5, max_connections=10) + ) + self.client = OpenAI( + api_key=api_key, + base_url="https://api.groq.com/openai/v1", + http_client=http_client + ) + logger.info("GroqService initialized successfully") + except Exception as e: + logger.error(f"Failed to initialize GroqService: {str(e)}") + import traceback + logger.error(traceback.format_exc()) + raise + + def chat_completion( + self, + messages: List[Dict[str, str]], + model: str = "llama-3.1-8b-instant", + temperature: float = 0.7, + max_tokens: int = 4000 + ) -> str: + """ + Send a chat completion request to Groq API + + Args: + messages: List of message dictionaries with 'role' and 'content' keys + model: Model name (default: llama-3.1-8b-instant) + temperature: Sampling temperature (default: 0.7) + max_tokens: Maximum tokens in response (default: 4000) + + Returns: + The assistant's response text + """ + try: + response = self.client.chat.completions.create( + model=model, + messages=messages, + temperature=temperature, + max_tokens=max_tokens + ) + if not response.choices or not response.choices[0].message: + raise Exception("Empty response from Groq API") + content = response.choices[0].message.content + if content is None: + raise Exception("Empty response content from Groq API") + return content + except Exception as e: + import traceback + error_msg = f"Groq API error: {str(e)}" + logger.error(error_msg) + logger.error(traceback.format_exc()) + raise Exception(error_msg) + +# Singleton instance +_groq_service: GroqService | None = None + +def get_groq_service() -> GroqService: + """Get or create the Groq service instance""" + global _groq_service + if _groq_service is None: + _groq_service = GroqService() + return _groq_service + diff --git a/frontend/package-lock.json b/frontend/package-lock.json index bb00eb1df..b22bf1272 100644 --- a/frontend/package-lock.json +++ b/frontend/package-lock.json @@ -32,6 +32,7 @@ "react-helmet": "6.1.0", 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"MIT", + "dependencies": { + "@types/unist": "*" + } + }, "node_modules/@types/hoist-non-react-statics": { "version": "3.3.6", "resolved": "https://registry.npmjs.org/@types/hoist-non-react-statics/-/hoist-non-react-statics-3.3.6.tgz", @@ -3686,6 +3714,21 @@ "dev": true, "license": "MIT" }, + "node_modules/@types/mdast": { + "version": "4.0.4", + "resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-4.0.4.tgz", + "integrity": "sha512-kGaNbPh1k7AFzgpud/gMdvIm5xuECykRR+JnWKQno9TAXVa6WIVCGTPvYGekIDL4uwCZQSYbUxNBSb1aUo79oA==", + "license": "MIT", + "dependencies": { + "@types/unist": "*" + } + }, + "node_modules/@types/ms": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/@types/ms/-/ms-2.1.0.tgz", + "integrity": "sha512-GsCCIZDE/p3i96vtEqx+7dBUGXrc7zeSK3wwPHIaRThS+9OhWIXRqzs4d6k1SVU8g91DrNRWxWUGhp5KXQb2VA==", + "license": "MIT" + }, "node_modules/@types/node": { "version": "22.15.34", "resolved": "https://registry.npmjs.org/@types/node/-/node-22.15.34.tgz", @@ 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"https://github.com/chalk/chalk?sponsor=1" } }, + "node_modules/character-entities": { + "version": "2.0.2", + "resolved": "https://registry.npmjs.org/character-entities/-/character-entities-2.0.2.tgz", + "integrity": "sha512-shx7oQ0Awen/BRIdkjkvz54PnEEI/EjwXDSIZp86/KKdbafHh1Df/RYGBhn4hbe2+uKC9FnT5UCEdyPz3ai9hQ==", + "license": "MIT", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } + }, + "node_modules/character-entities-html4": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/character-entities-html4/-/character-entities-html4-2.1.0.tgz", + "integrity": "sha512-1v7fgQRj6hnSwFpq1Eu0ynr/CDEw0rXo2B61qXrLNdHZmPKgb7fqS1a2JwF0rISo9q77jDI8VMEHoApn8qDoZA==", + "license": "MIT", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } + }, + "node_modules/character-entities-legacy": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/character-entities-legacy/-/character-entities-legacy-3.0.0.tgz", 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"node_modules/zwitch": { + "version": "2.0.4", + "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz", + "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==", + "license": "MIT", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } } } } diff --git a/frontend/package.json b/frontend/package.json index 7954b6d11..57da4f0a0 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -28,6 +28,7 @@ "react-helmet": "6.1.0", "react-icons": "5.5.0", "react-liquid-gauge": "1.2.4", + "react-markdown": "^10.1.0", "react-redux": "9.2.0", "react-router-dom": "6.22.3", "react-scroll": "1.9.3", @@ -35,6 +36,7 @@ "redux": "5.0.1", "redux-persist": "6.0.0", "redux-thunk": "3.1.0", + "remark-gfm": "^4.0.1", "styled-components": "6.1.19", "use-debounce": "10.0.5", "zod": "3.25.67" diff --git a/frontend/src/components/CirclesChatbotCayman/ChatbotCayman.tsx b/frontend/src/components/CirclesChatbotCayman/ChatbotCayman.tsx new file mode 100644 index 000000000..f278991dd --- /dev/null +++ b/frontend/src/components/CirclesChatbotCayman/ChatbotCayman.tsx @@ -0,0 +1,170 @@ +import React, { useEffect, useRef, useState } from 'react'; +import ReactMarkdown from 'react-markdown'; +import { useLocation } from 'react-router-dom'; +import { RobotOutlined, SendOutlined } from '@ant-design/icons'; +import { Button, Input, Modal, Spin, Tooltip, Typography } from 'antd'; +import remarkGfm from 'remark-gfm'; +import type { ChatMessage } from 'utils/api/chatbotApi'; +import useChatbotChat from 'utils/apiHooks/chatbot'; +import S from './styles'; + +const { Text, Title } = Typography; +const { TextArea } = Input; + +const ChatbotCayman = () => { + const [showMenu, setShowMenu] = useState(false); + const [message, setMessage] = useState(''); + const [conversationHistory, setConversationHistory] = useState([]); + const messagesEndRef = useRef(null); + const chatMutation = useChatbotChat(); + + const pathname = useLocation(); + + useEffect(() => { + setShowMenu(false); + }, [pathname]); + + useEffect(() => { + // Scroll to bottom when new messages are added + messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' }); + }, [conversationHistory]); + + const handleSend = async () => { + if (!message.trim() || chatMutation.isPending) return; + + const userMessage = message.trim(); + setMessage(''); + + // Add user message to conversation history with unique ID + const newUserMessage: ChatMessage = { + role: 'user', + content: userMessage, + id: `user-${Date.now()}-${Math.random().toString(36).substring(7)}` + }; + const updatedHistory = [...conversationHistory, newUserMessage]; + setConversationHistory(updatedHistory); + + try { + // Send to API (without IDs for API compatibility) + const apiHistory = conversationHistory.map(({ id: _, ...rest }) => rest); + const response = await chatMutation.mutateAsync({ + message: userMessage, + conversation_history: apiHistory + }); + + // Add assistant response to conversation history with unique ID + const assistantMessage: ChatMessage = { + role: 'assistant', + content: response.response, + id: `assistant-${Date.now()}-${Math.random().toString(36).substring(7)}` + }; + setConversationHistory([...updatedHistory, assistantMessage]); + } catch (error: unknown) { + // Add error message to conversation with unique ID + const errorMessage: ChatMessage = { + role: 'assistant', + content: 'Sorry, I encountered an error. Please try again.', + id: `error-${Date.now()}-${Math.random().toString(36).substring(7)}` + }; + setConversationHistory([...updatedHistory, errorMessage]); + } + }; + + const handleKeyPress = (e: React.KeyboardEvent) => { + if (e.key === 'Enter' && !e.shiftKey) { + e.preventDefault(); + handleSend(); + } + }; + + return ( + + +