From 4e7729dad96ecac544a0cb7f75a4becbde9cdd82 Mon Sep 17 00:00:00 2001 From: yitong241 Date: Sat, 9 Nov 2024 18:37:21 +0800 Subject: [PATCH] Switch to python --- .DS_Store | Bin 6148 -> 6148 bytes backend/.DS_Store | Bin 8196 -> 8196 bytes backend/ai-hint-service/.env.sample | 2 - backend/ai-hint-service/.gitignore | 4 +- backend/ai-hint-service/Dockerfile | 33 +- backend/ai-hint-service/app/dependencies.py | 11 + backend/ai-hint-service/app/main.py | 36 + .../app/routes/code_analysis.py | 16 + backend/ai-hint-service/app/routes/hint.py | 42 + .../app/routes/model_answer.py | 36 + .../app/schemas/code_analysis.py | 9 + backend/ai-hint-service/app/schemas/hint.py | 4 + .../app/schemas/model_answer.py | 4 + .../app/services/openai_service.py | 56 + backend/ai-hint-service/package-lock.json | 1748 ----------------- backend/ai-hint-service/package.json | 24 - backend/ai-hint-service/requirements.txt | 6 + .../src/controllers/hintControllers.ts | 60 - backend/ai-hint-service/src/index.js | 26 - .../ai-hint-service/src/routes/hintRoutes.ts | 17 - .../src/services/openaiService.ts | 71 - .../src/services/questionService.ts | 14 - backend/ai-hint-service/tsconfig.json | 12 - docker-compose.yml | 7 +- frontend/src/components/HintBox/HintBox.tsx | 158 +- frontend/src/pages/CodeEditor/CodeEditor.tsx | 5 +- 26 files changed, 329 insertions(+), 2072 deletions(-) delete mode 100644 backend/ai-hint-service/.env.sample create mode 100644 backend/ai-hint-service/app/dependencies.py create mode 100644 backend/ai-hint-service/app/main.py create mode 100644 backend/ai-hint-service/app/routes/code_analysis.py create mode 100644 backend/ai-hint-service/app/routes/hint.py create mode 100644 backend/ai-hint-service/app/routes/model_answer.py create mode 100644 backend/ai-hint-service/app/schemas/code_analysis.py create mode 100644 backend/ai-hint-service/app/schemas/hint.py create mode 100644 backend/ai-hint-service/app/schemas/model_answer.py create mode 100644 backend/ai-hint-service/app/services/openai_service.py delete mode 100644 backend/ai-hint-service/package-lock.json delete mode 100644 backend/ai-hint-service/package.json create mode 100644 backend/ai-hint-service/requirements.txt delete mode 100644 backend/ai-hint-service/src/controllers/hintControllers.ts delete mode 100644 backend/ai-hint-service/src/index.js delete mode 100644 backend/ai-hint-service/src/routes/hintRoutes.ts delete mode 100644 backend/ai-hint-service/src/services/openaiService.ts delete mode 100644 backend/ai-hint-service/src/services/questionService.ts delete mode 100644 backend/ai-hint-service/tsconfig.json diff --git a/.DS_Store b/.DS_Store index 7c51ad24ad72e0339b2a36a85cae78b84149f285..d813f53c5ed0c1578a3348e5fccbc2763306bf48 100644 GIT binary patch delta 200 zcmZoMXffEJ$`YsE`JRD+frUYjA)O(Up(Hoo#U&{xKM5$tVZ7*D(z^U(j;Qh}c;yQ+ z41<&Na|?ia7#N}!Om1e`z`S{)?qoAoIo9o}0l(Kyu4fgUoX5%o=P5A<9blOJfmLMk 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100644 --- a/backend/ai-hint-service/Dockerfile +++ b/backend/ai-hint-service/Dockerfile @@ -1,23 +1,24 @@ -# Use an official Node.js runtime as the base image -FROM node:18-alpine +# backend/ai-hint-service/Dockerfile -# Set the working directory -WORKDIR /app +FROM python:3.9-slim -# Copy package files -COPY package*.json ./ +# Set environment variables +ENV PYTHONDONTWRITEBYTECODE=1 +ENV PYTHONUNBUFFERED=1 -# Install dependencies -RUN npm install +# Set work directory +WORKDIR /app -# Copy the rest of the application code -COPY . . +# Install dependencies +COPY requirements.txt . +RUN pip install --upgrade pip +RUN pip install -r requirements.txt -# Build TypeScript (if using TypeScript) -RUN npm run build +# Copy application code +COPY ./app /app/app -# Expose the port -EXPOSE 3006 +# Expose port +EXPOSE 8000 -# Start the application -CMD ["npm", "start"] \ No newline at end of file +# Command to run the application +CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/backend/ai-hint-service/app/dependencies.py b/backend/ai-hint-service/app/dependencies.py new file mode 100644 index 0000000000..70f0d06437 --- /dev/null +++ b/backend/ai-hint-service/app/dependencies.py @@ -0,0 +1,11 @@ +# backend/ai-hint-service/app/dependencies.py + +from dotenv import load_dotenv +import os + +# Load environment variables from .env file +load_dotenv() +OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") + +if not OPENAI_API_KEY: + raise ValueError("OPENAI_API_KEY is not set in the environment variables.") diff --git a/backend/ai-hint-service/app/main.py b/backend/ai-hint-service/app/main.py new file mode 100644 index 0000000000..d8bf85bc60 --- /dev/null +++ b/backend/ai-hint-service/app/main.py @@ -0,0 +1,36 @@ +# backend/ai-hint-service/app/main.py + +from fastapi import FastAPI +from .routes import hint, code_analysis, model_answer +from fastapi.middleware.cors import CORSMiddleware + +app = FastAPI( + title="AI Hint Service", + description="Provides AI-generated hints, code complexity analysis, and model answers.", + version="1.0.0", +) + +# CORS settings - adjust origins as needed +origins = [ + "http://localhost", + "http://localhost:80", + # Add other frontend URLs here +] + +app.add_middleware( + CORSMiddleware, + allow_origins=origins, # Or ["*"] to allow all + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +# Include routers +app.include_router(hint.router, prefix="/api/hint", tags=["Hint"]) +app.include_router(code_analysis.router, prefix="/api/code-analysis", tags=["Code Analysis"]) +app.include_router(model_answer.router, prefix="/api/model-answer", tags=["Model Answer"]) + +# Root endpoint +@app.get("/") +def read_root(): + return {"message": "AI Hint Service is up and running."} diff --git a/backend/ai-hint-service/app/routes/code_analysis.py b/backend/ai-hint-service/app/routes/code_analysis.py new file mode 100644 index 0000000000..bffcd553d5 --- /dev/null +++ b/backend/ai-hint-service/app/routes/code_analysis.py @@ -0,0 +1,16 @@ +from fastapi import APIRouter, HTTPException +from ..services.openai_service import analyze_code_complexity +from ..schemas.code_analysis import CodeAnalysisRequest, CodeAnalysisResponse + +router = APIRouter() + +@router.post("/", response_model=CodeAnalysisResponse) +async def get_code_analysis(request: CodeAnalysisRequest): + """ + Analyze the complexity of the provided code. + """ + try: + result = analyze_code_complexity(request.code, request.language) + return CodeAnalysisResponse(**result) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) \ No newline at end of file diff --git a/backend/ai-hint-service/app/routes/hint.py b/backend/ai-hint-service/app/routes/hint.py new file mode 100644 index 0000000000..2d3f8df1c1 --- /dev/null +++ b/backend/ai-hint-service/app/routes/hint.py @@ -0,0 +1,42 @@ +from fastapi import APIRouter, HTTPException +from ..services.openai_service import generate_hint +from ..schemas.hint import HintResponse +from typing import Optional + +router = APIRouter() + +@router.get("/{question_id}", response_model=HintResponse) +async def get_hint(question_id: int): + """ + Generate a hint for the given question ID. + """ + # Placeholder: Fetch question description from the question service + # You need to integrate with your question service's API to get the description + question_description = fetch_question_description(question_id) + if not question_description: + raise HTTPException(status_code=404, detail="Question not found.") + + try: + hint = generate_hint(question_description) + return HintResponse(hint=hint) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + +def fetch_question_description(question_id: int) -> Optional[str]: + # Implement the logic to fetch question description from the question service + # For example, make an HTTP request to the question service's API + import requests + QUESTION_SERVICE_URL = "http://localhost/api/questions" + QUESTION_SERVICE_URL = "http://question:3002" + try: + link = f"{QUESTION_SERVICE_URL}/{question_id}" + print(link) + response = requests.get(link) + print(response) + if response.status_code == 200: + data = response.json() + return data.get("description") + else: + return None + except Exception as e: + return None diff --git a/backend/ai-hint-service/app/routes/model_answer.py b/backend/ai-hint-service/app/routes/model_answer.py new file mode 100644 index 0000000000..2a4ec74a8c --- /dev/null +++ b/backend/ai-hint-service/app/routes/model_answer.py @@ -0,0 +1,36 @@ +from fastapi import APIRouter, HTTPException +from ..services.openai_service import generate_model_answer +from ..schemas.model_answer import ModelAnswerResponse +from typing import Optional + +router = APIRouter() + +@router.get("/{question_id}", response_model=ModelAnswerResponse) +async def get_model_answer(question_id: int): + """ + Generate a model answer for the given question ID. + """ + # Placeholder: Fetch question description from the question service + question_description = fetch_question_description(question_id) + if not question_description: + raise HTTPException(status_code=404, detail="Question not found.") + + try: + model_answer = generate_model_answer(question_description, language="python") # Adjust language as needed + return ModelAnswerResponse(model_answer=model_answer) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + +def fetch_question_description(question_id: int) -> Optional[str]: + # Implement the logic to fetch question description from the question service + import requests + QUESTION_SERVICE_URL = "http://question:3002" + try: + response = requests.get(f"{QUESTION_SERVICE_URL}/{question_id}") + if response.status_code == 200: + data = response.json() + return data.get("description") + else: + return None + except Exception as e: + return None diff --git a/backend/ai-hint-service/app/schemas/code_analysis.py b/backend/ai-hint-service/app/schemas/code_analysis.py new file mode 100644 index 0000000000..d6848f20d6 --- /dev/null +++ b/backend/ai-hint-service/app/schemas/code_analysis.py @@ -0,0 +1,9 @@ +from pydantic import BaseModel + +class CodeAnalysisRequest(BaseModel): + code: str + language: str # e.g., "python", "cpp", "java" + +class CodeAnalysisResponse(BaseModel): + complexity: str + analysis: str diff --git a/backend/ai-hint-service/app/schemas/hint.py b/backend/ai-hint-service/app/schemas/hint.py new file mode 100644 index 0000000000..2c384da653 --- /dev/null +++ b/backend/ai-hint-service/app/schemas/hint.py @@ -0,0 +1,4 @@ +from pydantic import BaseModel + +class HintResponse(BaseModel): + hint: str diff --git a/backend/ai-hint-service/app/schemas/model_answer.py b/backend/ai-hint-service/app/schemas/model_answer.py new file mode 100644 index 0000000000..8aa912826a --- /dev/null +++ b/backend/ai-hint-service/app/schemas/model_answer.py @@ -0,0 +1,4 @@ +from pydantic import BaseModel + +class ModelAnswerResponse(BaseModel): + model_answer: str diff --git a/backend/ai-hint-service/app/services/openai_service.py b/backend/ai-hint-service/app/services/openai_service.py new file mode 100644 index 0000000000..35f9528549 --- /dev/null +++ b/backend/ai-hint-service/app/services/openai_service.py @@ -0,0 +1,56 @@ +from openai import OpenAI +# from ..dependencies import OPENAI_API_KEY +from dotenv import load_dotenv +import os + +load_dotenv() + +client = OpenAI( + api_key = os.getenv("OPENAI_API_KEY") +) + +model = 'gpt-3.5-turbo-0125' + +def generate_hint(question_description: str) -> str: + prompt = f"Provide a concise hint for the following programming problem:\n\n{question_description}\n\nHint:" + completion = client.chat.completions.create( + model=model, + messages=[ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": prompt} + ] + ) + hint = completion.choices[0].message.content + print(hint) + return hint + +def analyze_code_complexity(code: str, language: str) -> dict: + prompt = f"Analyze the following {language} code for its time and space complexity. Provide a detailed explanation.\n\nCode:\n{code}\n\nAnalysis:" + completion = client.completions.create( + model=model, + messages=[ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": prompt} + ] + ) + analysis = completion.choices[0].message['content'] + # Simple heuristic to determine complexity + if "O(" in analysis: + start = analysis.find("O(") + end = analysis.find(")", start) + 1 + complexity = analysis[start:end] + else: + complexity = "Complexity could not be determined." + return {"complexity": complexity, "analysis": analysis} + +def generate_model_answer(question_description: str, language: str) -> str: + prompt = f"Provide a complete and optimized {language} solution for the following programming problem:\n\n{question_description}\n\nSolution:" + completion = client.completions.create( + model=model, + messages=[ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": prompt} + ] + ) + model_answer = completion.choices[0].message['content'] + return model_answer diff --git a/backend/ai-hint-service/package-lock.json b/backend/ai-hint-service/package-lock.json deleted file mode 100644 index c7fa360976..0000000000 --- a/backend/ai-hint-service/package-lock.json +++ /dev/null @@ -1,1748 +0,0 @@ -{ - 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"cors": "^2.8.5", - "dotenv": "^16.0.3", - "express": "^4.18.2" - }, - "devDependencies": { - "@types/express": "^4.17.17", - "@types/node": "^20.17.6", - "ts-node": "^10.9.1", - "ts-node-dev": "^2.0.0", - "typescript": "^5.6.3" - } -} diff --git a/backend/ai-hint-service/requirements.txt b/backend/ai-hint-service/requirements.txt new file mode 100644 index 0000000000..c8ad2ab31a --- /dev/null +++ b/backend/ai-hint-service/requirements.txt @@ -0,0 +1,6 @@ +fastapi +uvicorn +openai +pydantic +python-dotenv +requests \ No newline at end of file diff --git a/backend/ai-hint-service/src/controllers/hintControllers.ts b/backend/ai-hint-service/src/controllers/hintControllers.ts deleted file mode 100644 index 9fc7611416..0000000000 --- a/backend/ai-hint-service/src/controllers/hintControllers.ts +++ /dev/null @@ -1,60 +0,0 @@ -import { Request, Response } from 'express'; -import { fetchQuestionById } from '../services/questionService.js'; -import { getHintFromOpenAI, getComplexityAnalysisFromOpenAI, getModelAnswerFromOpenAI } from '../services/openaiService.js'; - -// GET /api/ai-hint/hint/:questionId -export const getHint = async (req: Request, res: Response) => { - const { questionId } = req.params; - - try { - const question = await fetchQuestionById(Number(questionId)); - if (!question) { - return res.status(404).json({ error: 'Question not found.' }); - } - console.log('Question:', question); - - const hint = await getHintFromOpenAI(question.description); - res.status(200).json({ hint }); - } catch (error) { - console.error('Error fetching hint:', error); - res.status(500).json({ error: 'Failed to fetch hint.' }); - } -}; - -// POST /api/ai-hint/complexity -export const getComplexityAnalysis = async (req: Request, res: Response) => { - const { code, language } = req.body; - - if (!code || !language) { - return res.status(400).json({ error: 'Code and language are required.' }); - } - - try { - // Get complexity analysis from OpenAI - const analysis = await getComplexityAnalysisFromOpenAI(code, language); - res.status(200).json({ analysis }); - } catch (error) { - console.error('Error fetching complexity analysis:', error); - res.status(500).json({ error: 'Failed to fetch complexity analysis.' }); - } -}; - -// GET /api/ai-hint/model-answer/:questionId -export const getModelAnswer = async (req: Request, res: Response) => { - const { questionId } = req.params; - - try { - // Fetch question details if needed - const question = await fetchQuestionById(Number(questionId)); - if (!question) { - return res.status(404).json({ error: 'Question not found.' }); - } - - // Get model answer from OpenAI - const modelAnswer = await getModelAnswerFromOpenAI(question.description, question.language); - res.status(200).json({ modelAnswer }); - } catch (error) { - console.error('Error fetching model answer:', error); - res.status(500).json({ error: 'Failed to fetch model answer.' }); - } -}; diff --git a/backend/ai-hint-service/src/index.js b/backend/ai-hint-service/src/index.js deleted file mode 100644 index 0bd7e2f83e..0000000000 --- a/backend/ai-hint-service/src/index.js +++ /dev/null @@ -1,26 +0,0 @@ -import express from 'express'; -import cors from 'cors'; -import dotenv from 'dotenv'; -import hintRoutes from '../dist/routes/hintRoutes.js'; - -dotenv.config(); - -const app = express(); -const PORT = process.env.PORT || 3006; - -// Middleware -app.use(cors()); -app.use(express.json()); - -// Routes -app.use('/api/ai-hint', hintRoutes); - -// Health Check -app.get('/api/ai-hint/health', (req, res) => { - res.status(200).send({ status: 'AI Hint Service is running.' }); -}); - -// Start Server -app.listen(PORT, () => { - console.log(`AI Hint Service is running on port ${PORT}`); -}); diff --git a/backend/ai-hint-service/src/routes/hintRoutes.ts b/backend/ai-hint-service/src/routes/hintRoutes.ts deleted file mode 100644 index e74d87555f..0000000000 --- a/backend/ai-hint-service/src/routes/hintRoutes.ts +++ /dev/null @@ -1,17 +0,0 @@ -// backend/ai-hint-service/src/routes/hintRoutes.ts - -import express from 'express'; -import { getHint, getComplexityAnalysis, getModelAnswer } from '../controllers/hintControllers.js'; - -const router = express.Router(); - -// GET /api/ai-hint/hint/:questionId -router.get('/hint/:questionId', getHint); - -// POST /api/ai-hint/complexity -router.post('/complexity', getComplexityAnalysis); - -// GET /api/ai-hint/model-answer/:questionId -router.get('/model-answer/:questionId', getModelAnswer); - -export default router; diff --git a/backend/ai-hint-service/src/services/openaiService.ts b/backend/ai-hint-service/src/services/openaiService.ts deleted file mode 100644 index 83701da1e4..0000000000 --- a/backend/ai-hint-service/src/services/openaiService.ts +++ /dev/null @@ -1,71 +0,0 @@ -import axios from 'axios'; -import dotenv from 'dotenv'; - -dotenv.config({ path: './.env' }); - -// console.log('Environment Variables:', process.env); - -const OPENAI_API_KEY = process.env.OPENAI_API_KEY; -const OPENAI_API_URL = 'https://api.openai.com/v1/chat/completions'; -if (!OPENAI_API_KEY) { - throw new Error('OPENAI_API_KEY is not defined in the environment variables.'); -} - -const headers = { - 'Content-Type': 'application/json', - Authorization: `Bearer ${OPENAI_API_KEY}`, -}; - -export const getHintFromOpenAI = async (questionDescription: string): Promise => { - const prompt = `Provide a helpful hint for solving the following programming problem:\n\n${questionDescription}\n\nHint:`; - - const response = await axios.post( - OPENAI_API_URL, - { - model: 'gpt-4', - messages: [{ role: 'user', content: prompt }], - max_tokens: 150, - temperature: 0.5, - }, - { headers } - ); - - const hint = response.data.choices[0].message.content.trim(); - return hint; -}; - -export const getComplexityAnalysisFromOpenAI = async (code: string, language: string): Promise => { - const prompt = `Analyze the following ${language} code for its time and space complexity. Provide a detailed explanation.\n\nCode:\n${code}\n\nAnalysis:`; - - const response = await axios.post( - OPENAI_API_URL, - { - model: 'gpt-4', - messages: [{ role: 'user', content: prompt }], - max_tokens: 300, - temperature: 0.5, - }, - { headers } - ); - - const analysis = response.data.choices[0].message.content.trim(); - return analysis; -}; - -export const getModelAnswerFromOpenAI = async (questionDescription: string, language: string): Promise => { - const prompt = `Provide a correct and efficient ${language} solution for the following programming problem:\n\n${questionDescription}\n\nSolution:`; - - const response = await axios.post( - OPENAI_API_URL, - { - model: 'gpt-4', - messages: [{ role: 'user', content: prompt }], - max_tokens: 500, - temperature: 0.3, - }, - { headers } - ); - - const modelAnswer = response.data.choices[0].message.content.trim(); - return modelAnswer; -}; diff --git a/backend/ai-hint-service/src/services/questionService.ts b/backend/ai-hint-service/src/services/questionService.ts deleted file mode 100644 index 97bcc1ff49..0000000000 --- a/backend/ai-hint-service/src/services/questionService.ts +++ /dev/null @@ -1,14 +0,0 @@ -import axios from 'axios'; - -const QUESTION_SERVICE_URL = process.env.QUESTION_SERVICE_URL || 'http://localhost/api/questions'; - -export const fetchQuestionById = async (questionId: Number): Promise => { - try { - const response = await axios.get(`${QUESTION_SERVICE_URL}/${questionId}`); - console.log('Response:', response); - return response.data; - } catch (error) { - console.error('Error fetching question:', error); - return null; - } -}; diff --git a/backend/ai-hint-service/tsconfig.json b/backend/ai-hint-service/tsconfig.json deleted file mode 100644 index d93ae0070c..0000000000 --- a/backend/ai-hint-service/tsconfig.json +++ /dev/null @@ -1,12 +0,0 @@ -{ - "compilerOptions": { - "target": "ES6", - // "module": "commonjs", - "outDir": "dist", - "strict": true, - "esModuleInterop": true, - "moduleResolution": "node10", - "skipLibCheck": true /* Skip type checking all .d.ts files. */ - }, - "include": ["src/**/*.ts"] -} \ No newline at end of file diff --git a/docker-compose.yml b/docker-compose.yml index ce51cd2224..fb93a0e0c1 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -78,11 +78,12 @@ services: ai-hint-service: build: ./backend/ai-hint-service ports: - - "3006:3006" # Expose port 3006 for AI Hint Service + - "8000:8000" environment: - OPENAI_API_KEY: "${OPENAI_API_KEY}" # Ensure to set your OpenAI API key in the environment + - OPENAI_API_KEY=${OPENAI_API_KEY} # Ensure you set this in your environment or .env file depends_on: - - rabbitmq # If needed, add dependencies + - question # Assuming 'question' service is needed to fetch question descriptions + frontend: build: ./frontend diff --git a/frontend/src/components/HintBox/HintBox.tsx b/frontend/src/components/HintBox/HintBox.tsx index 451b7919ed..e896a7808a 100644 --- a/frontend/src/components/HintBox/HintBox.tsx +++ b/frontend/src/components/HintBox/HintBox.tsx @@ -1,107 +1,105 @@ import React, { useEffect, useState } from "react"; -import { Typography, Button, CircularProgress, Tabs, Tab } from "@mui/material"; +import { Typography, Button, CircularProgress, Tabs, Tab, Box } from "@mui/material"; import CloseIcon from "@mui/icons-material/Close"; import "./HintBox.scss"; +import { Language } from "@mui/icons-material"; interface HintBoxProps { onClose: () => void; questionId: number; - code?: string; // Optional, needed for code complexity analysis + code: string; + language: string; } -const HintBox: React.FC = ({ onClose, questionId, code }) => { +const HintBox: React.FC = ({ onClose, questionId, code, language }) => { const [activeTab, setActiveTab] = useState(0); - - const [hint, setHint] = useState(""); - const [complexity, setComplexity] = useState(""); - const [modelAnswer, setModelAnswer] = useState(""); - const [loading, setLoading] = useState(false); const [error, setError] = useState(""); - const handleTabChange = (event: React.SyntheticEvent, newValue: number) => { - setActiveTab(newValue); - }; + const [hint, setHint] = useState(""); + const [complexity, setComplexity] = useState(""); + const [analysis, setAnalysis] = useState(""); + const [modelAnswer, setModelAnswer] = useState(""); useEffect(() => { - const fetchData = async () => { + const fetchAllData = async () => { setLoading(true); setError(""); try { - if (activeTab === 0) { - // Fetch Hint - console.log("Fetching hint for questionId:", questionId); - const response = await fetch(`/api/ai-hint/hint/${questionId}`, { - method: "GET", - headers: { - "Content-Type": "application/json", - }, - }); - console.log("Response:", response); - - if (!response.ok) { - throw new Error(`Error: ${response.statusText}`); - } - - const data = await response.json(); - setHint(data.hint); - } else if (activeTab === 1) { - // Fetch Code Complexity Analysis - const response = await fetch(`/api/ai-hint/code-complexity`, { - method: "POST", - headers: { - "Content-Type": "application/json", - }, - body: JSON.stringify({ code }), - }); - - if (!response.ok) { - throw new Error(`Error: ${response.statusText}`); - } - - const data = await response.json(); - setComplexity(data.complexity); - } else if (activeTab === 2) { - // Fetch Model Answer - const response = await fetch(`/api/ai-hint/model-answer`, { - method: "POST", - headers: { - "Content-Type": "application/json", - }, - body: JSON.stringify({ questionId, language: "python" }), // Adjust language as needed - }); - - if (!response.ok) { - throw new Error(`Error: ${response.statusText}`); - } - - const data = await response.json(); - setModelAnswer(data.answer); + // Fetch Hint + // const hintResponse = await fetch(`/ai-hint-service/api/hint/${questionId}`, { + const hintResponse = await fetch(`http://localhost:8000/api/hint/${questionId}`, { + method: "GET", + headers: { + "Content-Type": "application/json", + }, + }); + + if (!hintResponse.ok) { + throw new Error(`Hint Error: ${hintResponse.statusText}`); } + + const hintData = await hintResponse.json(); + setHint(hintData.hint); + + // Fetch Model Answer + const modelAnswerResponse = await fetch(`/ai-hint-service/api/model-answer/${questionId}`, { + method: "GET", + headers: { + "Content-Type": "application/json", + }, + }); + + if (!modelAnswerResponse.ok) { + throw new Error(`Model Answer Error: ${modelAnswerResponse.statusText}`); + } + + const modelAnswerData = await modelAnswerResponse.json(); + setModelAnswer(modelAnswerData.model_answer); + + // Fetch Code Complexity Analysis + // Assuming you have access to the current code and language from props or context + const userCode = code; // Replace with actual code + const userLanguage = language; // Replace with actual language + + const analysisResponse = await fetch(`/ai-hint-service/api/code-analysis/`, { + method: "POST", + headers: { + "Content-Type": "application/json", + }, + body: JSON.stringify({ userCode, userLanguage }), + }); + + if (!analysisResponse.ok) { + throw new Error(`Code Analysis Error: ${analysisResponse.statusText}`); + } + + const analysisData = await analysisResponse.json(); + setComplexity(analysisData.complexity); + setAnalysis(analysisData.analysis); } catch (err: any) { - console.error("Failed to fetch data:", err); - setError("Failed to load data. Please try again."); + console.error("Failed to fetch AI hints:", err); + setError("Failed to load AI hints. Please try again."); } finally { setLoading(false); } }; - fetchData(); - }, [activeTab, questionId, code]); + fetchAllData(); + }, [questionId]); + + const handleTabChange = (event: React.SyntheticEvent, newValue: number) => { + setActiveTab(newValue); + }; return (
- AI Assistance + AI Hints
- - - - -
{loading ? (
@@ -111,9 +109,21 @@ const HintBox: React.FC = ({ onClose, questionId, code }) => { {error} ) : ( <> - {activeTab === 0 && {hint}} - {activeTab === 1 && {complexity}} - {activeTab === 2 && {modelAnswer}} + + + + + + + {activeTab === 0 && {hint}} + {activeTab === 1 && ( + <> + Complexity: {complexity} + {analysis} + + )} + {activeTab === 2 && {modelAnswer}} + )}
diff --git a/frontend/src/pages/CodeEditor/CodeEditor.tsx b/frontend/src/pages/CodeEditor/CodeEditor.tsx index c4341fb140..78a1866c32 100644 --- a/frontend/src/pages/CodeEditor/CodeEditor.tsx +++ b/frontend/src/pages/CodeEditor/CodeEditor.tsx @@ -835,12 +835,13 @@ const CodeEditor: React.FC = () => {
)} - {/* HintBox Component */} + {isHintBoxExpanded && questionData && ( setIsHintBoxExpanded(false)} - code={code} // Pass the current code + code={code} // Pass the current code + language={language} // Pass the current language /> )}