Communication Logs Dashboard

Communication → Gold
đź’° $2000

Admin-level overview of all messages for monitoring or support.

Technology iconTechnology iconTechnology icon

Communication Logs Dashboard Overview

Purpose

The Communication Logs Dashboard module provides a centralized platform for administrators to monitor and analyze all communication logs across the system. Its primary purpose is to offer a comprehensive view of messages, enabling admins to identify trends, detect anomalies, and respond effectively to issues related to user interactions or system performance.

Benefits

Usage Scenarios

1. Monitoring System Health

Admins can use the dashboard to monitor overall system performance by analyzing communication logs in real-time. This helps identify bottlenecks, errors, or unexpected behavior early, allowing for timely interventions.

2. Troubleshooting User Issues

When users report issues, admins can quickly search through logs to pinpoint the root cause. The dashboard’s filtering and sorting options make it easy to isolate relevant data.

3. Auditing and Compliance

The module is instrumental in maintaining audit trails of all communication activities. This ensures compliance with internal policies and external regulations, providing a transparent record of system interactions.

4. Performance Analysis

Admins can analyze historical log data to assess system performance trends over time. Insights from this analysis can inform decisions about optimizing workflows or improving system efficiency.

5. Handling Escalations

In cases where user issues require escalation, the dashboard provides a detailed audit trail that support teams can use to understand the full context of the problem, facilitating more effective resolution.


The Communication Logs Dashboard is an essential tool for admins seeking to maintain control over system communications, ensuring smooth operation and compliance while providing actionable insights.

Communication Logs Dashboard Module Features

Real-Time Monitoring

The dashboard provides live updates on all communication messages as they are sent or received. This allows admins to quickly identify any spikes in traffic or unusual activity.

Message Archiving

All messages are stored in a centralized repository, ensuring that historical data is preserved for auditing, debugging, and trend analysis purposes.

Search and Filter Capabilities

Users can search logs using keywords, timestamps, sender/recipient IDs, message types, status codes, and tags. This allows for quick identification of specific events or patterns.

Data Visualization

The dashboard includes charts and graphs to display trends in message volume, error rates, response times, and other key metrics over time.

Error Detection and Alerts

Automatically detects failed messages, timeout errors, duplicate IDs, and other issues. Admins can set up alerts based on specific conditions to notify them of potential problems.

Message Context

Each log entry includes metadata such as timestamps, unique message IDs, user agent strings, device info, and IP addresses to provide context for debugging and analysis.

Export Functionality

Users can export logs in formats like CSV or JSON for further processing, reporting, or integration with third-party tools.

Activity Timeline

Maintains a chronological record of all communication events, including failed attempts. This helps trace the sequence of events leading up to an issue.

Integration Capabilities

Supports integration with external monitoring systems and analytics platforms (e.g., Splunk, ELK stack) via APIs or log forwarding for comprehensive log management.

Communication Logs Dashboard Documentation

Overview

The Communication Logs Dashboard module provides an admin-level interface to monitor and manage communication logs within the system. It allows developers to view, filter, search, and export communication data for troubleshooting and monitoring purposes.

Features

Target Audience

This module is primarily intended for system administrators and developers who need to monitor the health and performance of communication processes within the application.


API Endpoint (FastAPI)

GET /api/communication_logs

Description

Retrieves a list of communication logs based on query parameters.

Request Parameters

Response

A list of communication log objects with optional pagination details.

from fastapi import APIRouter, Depends, HTTPException
from typing import List, Optional
from pydantic import BaseModel

router = APIRouter()

class CommunicationLog(BaseModel):
    id: str
    message_type: str
    timestamp: datetime
    sender: str
    recipient: str
    status: str
    content: dict
    metadata: dict

@router.get("/api/communication_logs", response_model=List[CommunicationLog])
async def get_communication_logs(
    skip: int = 0,
    limit: int = 100,
    search: Optional[str] = None,
    status: Optional[str] = None,
    message_type: Optional[str] = None
):
    # Implementation details:
    # - Query the database based on filters
    # - Return paginated results
    return communication_logs_db.find(...)

React UI Component

CommunicationLogsDashboard.js

import React, { useState, useEffect } from 'react';
import { Table, Input, Button } from 'antd';

const CommunicationLogsDashboard = () => {
  const [logs, setLogs] = useState([]);
  const [searchTerm, setSearchTerm] = useState('');
  const [loading, setLoading] = useState(true);

  const columns = [
    {
      title: 'Timestamp',
      dataIndex: 'timestamp',
      sorter: (a, b) => a.timestamp.localeCompare(b.timestamp),
    },
    {
      title: 'Message Type',
      dataIndex: 'message_type',
    },
    {
      title: 'Sender',
      dataIndex: 'sender',
    },
    {
      title: 'Recipient',
      dataIndex: 'recipient',
    },
    {
      title: 'Status',
      dataIndex: 'status',
    },
  ];

  const handleSearch = (e) => {
    setSearchTerm(e.target.value);
  };

  useEffect(() => {
    const fetchLogs = async () => {
      try {
        const response = await fetch('/api/communication_logs');
        if (!response.ok) throw new Error('Failed to fetch logs');
        const data = await response.json();
        setLogs(data);
        setLoading(false);
      } catch (error) {
        console.error('Error fetching logs:', error);
        setLoading(false);
      }
    };

    fetchLogs();
  }, []);

  return (
    <div>
      <h1>Communication Logs Dashboard</h1>
      <Input
        placeholder="Search logs..."
        style={{ width: '200px' }}
        value={searchTerm}
        onChange={handleSearch}
      />
      <Table
        columns={columns}
        dataSource={logs.filter(log =>
          log.content.toString().toLowerCase().includes(searchTerm.toLowerCase())
        )}
        loading={loading}
        rowKey={(log) => log.id}
      />
    </div>
  );
};

export default CommunicationLogsDashboard;

Data Schema (Pydantic)

from pydantic import BaseModel
from datetime import datetime

class CommunicationLog(BaseModel):
    id: str
    message_type: str
    timestamp: datetime
    sender: str
    recipient: str
    status: str
    content: dict
    metadata: dict

class PaginatedResponse(BaseModel):
    data: List[CommunicationLog]
    page: int
    pageSize: int
    total: int

Getting Started

Prerequisites

Installation

# For FastAPI
pip install fastapi python-multipart uvicorn

# For React (if using create-react-app)
npm install react-scripts antd

Usage

  1. Start the FastAPI server:
    uvicorn main:app --reload
    
  2. Run the React application:
    npm start
    

This documentation provides a comprehensive overview of the Communication Logs Dashboard module, including API endpoints and UI components. The module is designed to be highly customizable based on specific monitoring needs.

Communication Logs Dashboard Module Documentation

Overview

The Communication Logs Dashboard provides an admin-level overview of all messages, facilitating monitoring and support. This module is designed for developers who need a comprehensive view of message traffic within their system.

  1. Event Logger: Handles logging of events across the application.
  2. Message Broker: Manages communication between services.
  3. User Management: Provides user context for messages.
  4. Search & Filter: Enables querying and filtering logs based on specific criteria.

Use Cases

1. Real-Time Monitoring

2. Troubleshooting

3. Compliance Reporting

Integration Tips

  1. API Integration:

    • Use the provided API endpoints to log messages programmatically.
    • Example: POST /api/log to send events to the dashboard.
  2. CI/CD Pipeline Setup:

    • Integrate the dashboard into your deployment process for monitoring during testing and production.
  3. Data Filtering:

    • Implement regex patterns in User Management to filter out sensitive data before logging.

Configuration Options

ParameterDescriptionDefault ValueExample Value
enable_real_timeEnable real-time updatestruetrue
log_retention_daysNumber of days logs are retained3090
api_endpointEndpoint for API integration/api/logs/api/internal_logs
auth_methodAuthentication method (token/basic)tokenbasic
alert_thresholdNumber of messages to trigger alerts10005000

Conclusion

The Communication Logs Dashboard is a powerful tool for developers and admins to monitor and manage message traffic effectively. By integrating it with related modules and configuring settings appropriately, you can enhance monitoring capabilities and ensure compliance.