Mejoras en NeoWhatsappMenu
Created on: September 27, 2024
Answered using OpenAI 01 Preview by OpenAI01
Question
// NeoWhatsappMenu.js
import React, { useState, useEffect, useCallback } from 'react';
import {
Box,
Typography,
Switch,
FormControl,
InputLabel,
Select,
MenuItem,
TextField,
Button,
Paper,
CircularProgress
} from '@mui/material';
import axios from 'axios';
const API_BASE_URL = 'http://localhost:3007/api'; // Nuevo puerto
const NeoWhatsappMenu = ({ selectedContacts, allMessages, onAnalyzeMessages, isIaActive, setIsIaActive }) => {
const [iaProfile, setIaProfile] = useState('');
const [profiles, setProfiles] = useState([]);
const [contextos, setContextos] = useState([]);
const [palabrasClave, setPalabrasClave] = useState([]);
const [question, setQuestion] = useState('');
const [analysisResult, setAnalysisResult] = useState('');
const [summary, setSummary] = useState('');
// Estados para manejo de carga y errores
const [loadingProfiles, setLoadingProfiles] = useState(false);
const [errorProfiles, setErrorProfiles] = useState(null);
const [loadingContextos, setLoadingContextos] = useState(false);
const [errorContextos, setErrorContextos] = useState(null);
const [loadingAnalysis, setLoadingAnalysis] = useState(false);
const [errorAnalysis, setErrorAnalysis] = useState(null);
const [loadingSummary, setLoadingSummary] = useState(false);
const [errorSummary, setErrorSummary] = useState(null);
// Fetch profiles on component mount
useEffect(() => {
const fetchProfiles = async () => {
setLoadingProfiles(true);
setErrorProfiles(null);
try {
const response = await axios.get(`${API_BASE_URL}/profiles`);
setProfiles(response.data);
} catch (error) {
console.error('Error fetching profiles:', error);
setErrorProfiles('No se pudieron cargar los perfiles.');
} finally {
setLoadingProfiles(false);
}
};
fetchProfiles();
}, []);
// Fetch contextos and palabras clave when iaProfile changes
useEffect(() => {
if (iaProfile) {
const fetchContextos = async () => {
setLoadingContextos(true);
setErrorContextos(null);
try {
const response = await axios.get(`${API_BASE_URL}/contextos/${iaProfile}`);
setContextos(response.data.contextos);
setPalabrasClave(response.data.palabrasClave);
} catch (error) {
console.error('Error fetching contextos and palabras clave:', error);
setErrorContextos('No se pudieron cargar los contextos y palabras clave.');
} finally {
setLoadingContextos(false);
}
};
fetchContextos();
} else {
setContextos([]);
setPalabrasClave([]);
}
}, [iaProfile]);
// Toggle IA activation
const handleIaToggle = async () => {
const newState = !isIaActive;
setIsIaActive(newState);
try {
await axios.post(`${API_BASE_URL}/toggle-ia`, { isIaActive: newState, iaProfile });
} catch (error) {
console.error('Error toggling IA state:', error);
// Opcional: manejar el error de manera más amigable para el usuario
}
};
// Handle IA profile change
const handleIaProfileChange = async (event) => {
const selectedProfile = event.target.value;
setIaProfile(selectedProfile);
onAnalyzeMessages(selectedProfile);
try {
await axios.post(`${API_BASE_URL}/toggle-ia`, { isIaActive, iaProfile: selectedProfile });
} catch (error) {
console.error('Error updating IA profile:', error);
// Opcional: manejar el error de manera más amigable para el usuario
}
};
// Handle question input change
const handleQuestionChange = (event) => {
setQuestion(event.target.value);
};
// Fetch conversation history for a contact
const fetchConversationHistory = useCallback(async (contactId) => {
try {
const response = await axios.get(`http://localhost:3007/messages/${contactId}`); // Endpoint sin /api
return response.data.map(msg => msg.message).join('\n');
} catch (error) {
console.error('Error fetching conversation history:', error);
return '';
}
}, []);
// Generate summary of conversations
const handleGenerateSummary = async () => {
setLoadingSummary(true);
setErrorSummary(null);
const selectedMessages = selectedContacts.flatMap(contactId => allMessages[contactId] || []);
const conversationText = selectedMessages.map(msg => msg.message).join('\n');
try {
const response = await fetch('http://localhost:3007/summarize', { // Endpoint sin /api
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ text: conversationText }),
});
const data = await response.json();
setSummary(data.summary);
} catch (error) {
console.error('Error generating summary:', error);
setErrorSummary('Error al generar el resumen.');
} finally {
setLoadingSummary(false);
}
};
// Ask a question based on conversation
const handleAskQuestion = async () => {
if (!question.trim()) {
setAnalysisResult('Por favor, ingresa una pregunta válida.');
return;
}
setLoadingAnalysis(true);
setErrorAnalysis(null);
setAnalysisResult('');
const selectedMessages = selectedContacts.flatMap(contactId => allMessages[contactId] || []);
const conversationText = selectedMessages.map(msg => msg.message).join('\n');
try {
const histories = await Promise.all(selectedContacts.map(fetchConversationHistory));
const combinedHistory = histories.join('\n');
const response = await axios.post(`${API_BASE_URL}/analyze`, { // Endpoint con /api
question,
text: combinedHistory + '\n' + conversationText,
contextos,
palabrasClave,
});
setAnalysisResult(response.data.result);
} catch (error) {
console.error('Error analyzing question:', error);
setAnalysisResult('Error al analizar la pregunta.');
setErrorAnalysis('Error al analizar la pregunta.');
} finally {
setLoadingAnalysis(false);
}
};
return (
<Box
sx={{
width: '600px',
height: '100vh',
display: 'flex',
flexDirection: 'column',
bgcolor: 'background.paper',
overflow: 'auto'
}}
>
<Typography variant="h6" sx={{ p: 2 }}>Funcionalidades Adicionales</Typography>
{/* IA Activation and Profile Selection */}
<Paper sx={{ m: 2, p: 2 }}>
<Box display="flex" alignItems="center">
<Typography variant="body1">IA Activa</Typography>
<Switch
checked={isIaActive}
onChange={handleIaToggle}
inputProps={{ 'aria-label': 'Activar IA' }}
/>
</Box>
{/* Profiles Loading and Error Handling */}
{loadingProfiles ? (
<Box display="flex" justifyContent="center" sx={{ mt: 2 }}>
<CircularProgress />
</Box>
) : errorProfiles ? (
<Typography color="error" sx={{ mt: 2 }}>{errorProfiles}</Typography>
) : (
<FormControl fullWidth sx={{ mt: 2 }} disabled={!isIaActive}>
<InputLabel id="ia-profile-label">Perfil de IA</InputLabel>
<Select
labelId="ia-profile-label"
value={iaProfile}
label="Perfil de IA"
onChange={handleIaProfileChange}
>
{profiles.map(profile => (
<MenuItem key={profile.id} value={profile.id}>{profile.nombre}</MenuItem>
))}
</Select>
</FormControl>
)}
{/* Contextos Loading and Error Handling */}
{iaProfile && (
<>
{loadingContextos ? (
<Box display="flex" justifyContent="center" sx={{ mt: 2 }}>
<CircularProgress size={24} />
</Box>
) : errorContextos ? (
<Typography color="error" sx={{ mt: 2 }}>{errorContextos}</Typography>
) : null}
</>
)}
{/* Question Input */}
<TextField
label="Pregunta para el análisis"
variant="outlined"
fullWidth
value={question}
onChange={handleQuestionChange}
disabled={!isIaActive}
sx={{ mt: 2 }}
inputProps={{ 'aria-label': 'Pregunta para el análisis' }}
/>
{/* Ask Question Button */}
<Button
variant="contained"
color="primary"
onClick={handleAskQuestion}
sx={{ mt: 2 }}
disabled={!isIaActive || loadingAnalysis}
>
{loadingAnalysis ? 'Analizando...' : 'Realizar Pregunta'}
</Button>
{/* Analysis Result */}
{analysisResult && (
<Paper sx={{ mt: 2, p: 2 }}>
<Typography variant="body1">Resultado del Análisis</Typography>
<Typography variant="body2" sx={{ whiteSpace: 'pre-wrap', wordBreak: 'break-word' }}>
{analysisResult}
</Typography>
</Paper>
)}
{/* Error Analysis */}
{errorAnalysis && (
<Typography color="error" sx={{ mt: 2 }}>{errorAnalysis}</Typography>
)}
</Paper>
{/* Sentiment Analysis and Summary */}
<Paper sx={{ m: 2, p: 2 }}>
<Typography variant="h6">Análisis de sentimientos</Typography>
{/* Generate Summary Button */}
<Button
variant="contained"
color="primary"
onClick={handleGenerateSummary}
sx={{ mt: 2 }}
disabled={loadingSummary}
>
{loadingSummary ? 'Generando...' : 'Generar análisis'}
</Button>
{/* Summary Result */}
{summary && (
<Paper sx={{ mt: 2, p: 2 }}>
<Typography variant="body1">Resumen:</Typography>
<Typography variant="body2" sx={{ whiteSpace: 'pre-wrap', wordBreak: 'break-word' }}>
{summary}
</Typography>
</Paper>
)}
{/* Error Summary */}
{errorSummary && (
<Typography color="error" sx={{ mt: 2 }}>{errorSummary}</Typography>
)}
</Paper>
</Box>
);
};
export default NeoWhatsappMenu;
Thought
Desentrañando el código
Estoy viendo un componente React llamado NeoWhatsappMenu.js que es extenso y me pide encontrar la mejor respuesta posible a la última consulta del usuario, sugiriendo que se desea analizar el código o resolver problemas.
Revisando el código
Estoy revisando el código del componente React llamado NeoWhatsappMenu, que se usa en una app de estilo Whatsapp y emplea componentes de Material-UI.
Importando funciones
Estoy incluyendo React y hooks como useState y useEffect, así como componentes de la biblioteca @mui/material como Box, Typography, y Switch. También estoy importando axios y definiendo la constante API_BASE_URL.
** Evaluando las funciones**
Estoy notando que el componente está manejando el cambio de IA, seleccionando perfiles, formulando preguntas y generando análisis, y ya he detectado dos papeles importantes: Activación de IA con selección de perfil y Análisis de Sentimientos con generación de resumen.
Revisando inconsistencias
Estoy notando inconsistencias en los URLs de los endpoints de API, algunos usan '/api' y otros no. Esto sugiere posibles errores y me lleva a investigar otros problemas en el código.
Evaluando integración
Estoy revisando la fusión de historias de conversación y el análisis posterior a través de axios.post
, asegurando que se integren correctamente los resultados.
Revisando API
Estoy notando inconsistencias en los endpoints de API, algunas usan API_BASE_URL
mientras otras usan URLs duras. Mantener la coherencia es clave.
Revisando la configuración
Estoy notando que ajustar API_BASE_URL
o tener constantes separadas puede ser necesario para puntos finales específicos.
Evaluando dependencias
Estoy viendo que fetchConversationHistory
no tiene dependencias y podría mejorar su rendimiento eliminando useCallback
. Esto sugiere que no es necesario memorizar la función, ya que no depende de variables de estado.
Minimizar la duplicación
Estoy abogado de reducir la duplicación de datos al evitar la recarga innecesaria de la conversación. Si es necesario, combínalos adecuadamente.
Ajustando la interfaz
Estoy mejorando la interfaz deshabilitando controles y usando mensajes para indicar el estado de inactividad de IA. Esto asegura una experiencia de usuario más clara.
Revisando detalles
Estoy viendo que los mensajes de error y las etiquetas están en español, sugiriendo mantener la coherencia lingüística en toda la aplicación. Además, noto que todos los hooks useEffect
tienen dependencias adecuadas para evitar cierres obsoletos.
Answer
The code you've provided is a React component called NeoWhatsappMenu
, which adds additional functionalities to a WhatsApp-like application, such as activating an AI assistant, selecting AI profiles, analyzing messages based on a question, and generating sentiment analysis summaries.
Below, I'll provide a detailed review of your code, highlighting potential issues and offering suggestions for improvements.
1. API Endpoint Consistency
Issue:
- You're using both
API_BASE_URL
(which includes/api
) and hardcoded URLs without/api
in your API calls.fetchConversationHistory
useshttp://localhost:3007/messages/${contactId}
.handleGenerateSummary
useshttp://localhost:3007/summarize
.handleAskQuestion
uses${API_BASE_URL}/analyze
.
Suggestion:
- Consistent Base URL: Define all your API endpoints relative to a single base URL to avoid confusion and potential errors. If some endpoints don't require
/api
, you might adjust yourAPI_BASE_URL
or create separate constants.const API_BASE_URL = 'http://localhost:3007';
- Endpoint Paths: Then define your endpoints:
const API_ENDPOINTS = { profiles: `${API_BASE_URL}/api/profiles`, contextos: `${API_BASE_URL}/api/contextos`, messages: `${API_BASE_URL}/messages`, summarize: `${API_BASE_URL}/summarize`, analyze: `${API_BASE_URL}/api/analyze`, };
- Usage:
const response = await axios.get(`${API_ENDPOINTS.profiles}`);
2. Error Handling and User Feedback
Issue:
- In functions like
handleIaToggle
andhandleIaProfileChange
, errors are caught and logged but not communicated to the user.
Suggestion:
- User-Friendly Messages: Update your state with error messages to display in the UI.
try { // API call } catch (error) { setError('An error occurred while toggling the AI state.'); }
- Display Errors: Render the error message in your component.
{error && <Typography color="error">{error}</Typography>}
3. Dependency Arrays in Hooks
Issue:
- In your
useEffect
hooks, ensure all dependencies are included to prevent stale data.
Suggestion:
- Include All Dependencies:
useEffect(() => { fetchProfiles(); }, [fetchProfiles]);
4. useCallback
Usage
Issue:
fetchConversationHistory
is wrapped withuseCallback
without dependencies, which might not be necessary.
Suggestion:
- Remove
useCallback
if Not Needed:const fetchConversationHistory = async (contactId) => { // Function body };
- Alternatively, if you intend to memoize it, include dependencies.
const fetchConversationHistory = useCallback(async (contactId) => { // Function body }, [/* dependencies */]);
5. Redundant Data Fetching
Issue:
- In
handleAskQuestion
, you're fetching conversation histories and also usingselectedMessages
.
Suggestion:
- Optimize Data Sources:
- If
allMessages
already contains the required data, you might not need to fetch it again. - Combine Data Efficiently:
const conversationText = histories.concat(selectedMessages.map(msg => msg.message)).join('\n');
- If
6. State Management for Results
Issue:
- Old
analysisResult
andsummary
might persist when new actions are taken.
Suggestion:
- Reset States Appropriately:
- Clear
analysisResult
when a new question is entered.const handleQuestionChange = (event) => { setQuestion(event.target.value); setAnalysisResult(''); };
- Clear
summary
when generating a new summary.const handleGenerateSummary = async () => { setSummary(''); // Rest of the function };
- Clear
7. Accessibility Improvements
Issue:
- Some components might lack appropriate accessibility attributes.
Suggestion:
- Aria Labels and Roles:
- Ensure all interactive elements have
aria-label
oraria-labelledby
. - For example:
<Button aria-label="Generate sentiment analysis" // other props > {loadingSummary ? 'Generando...' : 'Generar análisis'} </Button>
- Ensure all interactive elements have
8. Disabled States and User Guidance
Issue:
- When IA is inactive, certain inputs are disabled without explaining why.
Suggestion:
- Tooltips or Helper Text:
- Add helper text or tooltips to inform the user.
<TextField // other props helperText={!isIaActive ? 'Activate IA to ask a question.' : ''} />
- Tooltips:
<Tooltip title={!isIaActive ? 'Activate IA to use this feature' : ''}> <span> <Button disabled={!isIaActive}>Realizar Pregunta</Button> </span> </Tooltip>
- Add helper text or tooltips to inform the user.
9. Consistent Language in Codebase
Issue:
- Variable names and comments mix English and Spanish.
Suggestion:
- Choose One Language:
- For consistency and maintainability, consider using one language for variable names and comments.
- Example:
const [keywords, setKeywords] = useState([]);
10. Async Operation Management
Issue:
- Potential for race conditions if multiple requests are initiated rapidly.
Suggestion:
- Use AbortController:
- Implement request cancellation to handle rapid successive calls.
useEffect(() => { const controller = new AbortController(); axios.get('/api', { signal: controller.signal }) .then(response => { // handle response }) .catch(error => { if (axios.isCancel(error)) { console.log('Request canceled', error.message); } else { // handle error } }); return () => { controller.abort(); }; }, []);
- Implement request cancellation to handle rapid successive calls.
11. Proper Cleanup in Effects
Issue:
- If a component unmounts before an async operation completes, it might cause a memory leak.
Suggestion:
- Cancel Subscriptions and Async Tasks:
useEffect(() => { let isMounted = true; axios.get('/api') .then(response => { if (isMounted) { // handle response } }); return () => { isMounted = false; }; }, []);
12. Function Naming Consistency
Issue:
- The function
onAnalyzeMessages
might not clearly indicate its purpose.
Suggestion:
- Rename for Clarity:
- If
onAnalyzeMessages
updates messages based on the IA profile, perhaps rename it toupdateMessagesWithProfile
. - Ensure function names accurately reflect their actions.
- If
13. Handling Empty Data States
Issue:
- If there are no profiles or contextos, the UI might not handle it gracefully.
Suggestion:
- Conditional Rendering:
{profiles.length === 0 ? ( <Typography>No profiles available.</Typography> ) : ( // Render profiles )}
14. UI/UX Enhancements
Suggestion:
- Loading Indicators:
- Provide feedback when data is being fetched.
{loadingProfiles && <LinearProgress />}
- Provide feedback when data is being fetched.
- Success Messages:
- Inform the user when an action completes successfully.
{successMessage && <Typography color="primary">{successMessage}</Typography>}
- Inform the user when an action completes successfully.
15. Code Readability and Comments
Suggestion:
- Clear Comments:
- Explain complex logic or decisions in your code.
- Example:
// Fetch contextos and palabrasClave whenever the IA profile changes
Summary:
Your component is well-structured and implements several important functionalities. By addressing the issues above, you can improve code maintainability, user experience, and performance. Consistency in API calls, enhanced error handling, and thoughtful UI/UX considerations will make your application more robust and user-friendly.
If you have specific questions or need further clarification on any of these points, feel free to ask!