User Mention System Overview

Purpose

The User Mention System is designed to enhance communication within group conversations or discussions by allowing users to tag each other explicitly. This feature ensures that specific individuals are notified and can participate in the conversation, improving collaboration and reducing missed context.

Benefits

1. Increased Visibility: By tagging users, their participation is immediately drawn to their attention, ensuring they do not miss important updates or discussions.
2. Improved Context: Mentions provide clarity in conversations by clearly indicating which user is being addressed, making it easier for others to follow the discussion.
3. Focus on Important Information: The system helps prioritize key messages and tasks by highlighting specific users who need to take action or contribute to the conversation.
4. Developer-Friendly Integration: The module is designed to integrate seamlessly with existing communication systems, providing hooks for notifications, database integration, and customization options.

Usage Scenarios

• Team Collaboration Tools: In platforms like Slack or Microsoft Teams, mentions help team members stay informed about tasks and discussions relevant to them.
• Social Platforms: On forums or social media platforms, users can tag friends or community members to draw their attention to posts or updates.
• Customer Support Systems: Agents can mention specific team members when escalating issues or seeking input from colleagues.
• Community Forums: Moderators can tag members to notify them of new discussions, achievements, or pending tasks.

This module is a powerful tool for developers looking to enhance user engagement and collaboration in their communication-based applications.

User Mention System Module Features

1. Entity Recognition

The system identifies users based on mentions (e.g., usernames, email addresses, or user IDs). This ensures accurate tagging of individuals in conversations.

2. Notification and Alerts

When a user is mentioned, they receive immediate notifications through the communication platform, ensuring they are aware of being tagged.

3. Real-Time Search

Users can search for other users within the system to mention them, with auto-suggestions to make the process efficient.

4. Conversation Context

Mentions are linked to specific messages or replies, providing context and helping track interactions in discussions.

5. Access Control

Administrators can manage who can be mentioned and by whom, ensuring security and preventing unauthorized use.

6. Audit Logging

Tracks all mentions for auditing purposes, including the user who was mentioned, the mentioner, and the time of the mention.

7. Cross-Platform Compatibility

Works seamlessly across different communication platforms (e.g., chat applications, discussion forums), ensuring consistent functionality.

8. Customizable Mentions

Administrators can customize how mentions appear (e.g., badges, tooltips) and who is eligible to be mentioned.

9. Integration Hooks

Provides APIs and hooks for integrating the mention system into existing platforms or workflows, allowing for flexible deployment.

Technical Documentation for User Mention System

Overview

The User Mention System allows users to tag specific individuals in group conversations or discussions. This feature is essential for drawing attention to particular users and ensuring they are aware of relevant discussions.

Code Samples

1. FastAPI Endpoint (Python)

from fastapi import APIRouter, Depends, HTTPException
from typing import List
from datetime import datetime
from pydantic import BaseModel
from fastapi.security import OAuth2PasswordBearer

router = APIRouter()
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")

class Mention(BaseModel):
    id: str
    text: str
    sender: str
    created_at: datetime
    notified_users: List[str] = []

@router.post("/api/mentions", dependencies=[Depends(oauth2_scheme)])
async def create_mention(mention_data: Mention):
    # Assume a database model exists for storing mentions
    mention = MentionModel(**mention_data.dict())
    db.add(mention)
    db.commit()
    return {"message": "Mention created successfully"}

2. React UI Snippet (JavaScript)

import axios from 'axios';
import { Avatar, Box, Flex, Text } from '@chakra-ui/react';

interface Mention {
  id: string;
  text: string;
  sender: string;
  created_at: Date;
  notified_users?: string[];
}

export const MentionList = ({ mentions }: { mentions: Mention[] }) => {
  return (
    <Box className="chat-container">
      {mentions.map((mention) => (
        <Flex key={mention.id} align="start" mb={4}>
          <Avatar
            name={mention.sender}
            size="sm"
            mr={2}
            backgroundColor="#ebf0ff"
          />
          <Text>
            <span className="mention">@{mention.text}</span> mentioned you.
          </Text>
        </Flex>
      ))}
    </Box>
  );
};

3. Data Schema (Pydantic)

from pydantic import BaseModel
from typing import List, Optional
from datetime import datetime

class User(BaseModel):
    id: str
    username: str
    email: str
    avatar_url: str

class Mention(BaseModel):
    id: str
    text: str
    sender_id: str
    created_at: datetime
    notified_users: List[str] = []
    sender: Optional[User]

Summary

This documentation provides a basic implementation of a User Mention System with:

1. A FastAPI endpoint for creating mentions.
2. A React UI component for displaying mentions.
3. Pydantic models for data validation.

The system supports:

• Real-time mention creation.
• Notification tracking.
• User profile integration via avatars.
• Security through OAuth2 authentication.

For full implementation, additional components like a database model and frontend styling may be required.

User Mention System Module Documentation

Overview

The User Mention System module enables users to tag others in group conversations or discussions, enhancing communication by alerting specific individuals to relevant content.

Related Modules

Use Cases

1. Basic Mention Functionality

   • Users tag others using @username in messages.
   • Mentions appear highlighted and notify the tagged user.

2. Mention Notifications

   • Tagged users receive real-time or email notifications of mentions.

3. Role-Based Access Control for Mentions

   • Admins can restrict mentions to specific roles, like moderators.

4. Search Integration

   • Users search profiles by username or ID before tagging.

5. Rate Limiting

   • Limits mentions per user/unit time to prevent abuse.

Integration Tips

• User Database Integration: Use existing user databases for verification.
• Asynchronous Notifications: Implement non-blocking processes to avoid bottlenecks.
• RBAC Implementation: Ensure proper role checks before allowing mentions.
• Search Functionality: Integrate search features for easy mention lookup.
• Logging: Add logging for debugging and monitoring.

Configuration Options

Conclusion

The User Mention System module enhances communication by allowing user tagging with comprehensive features and configurations to suit various needs. Developers can integrate it seamlessly, leveraging related modules and adhering to best practices.