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
- Centralized Log Management: Aggregates logs from multiple sources (e.g., chat, email, API requests) in one place.
- Real-time Monitoring: Enables admins to track ongoing communication activities and respond promptly to any unusual behavior.
- Efficient Troubleshooting: Provides advanced search and filtering capabilities to quickly locate specific issues or patterns in logs.
- Compliance and Auditing: Offers detailed records of all communications, ensuring compliance with organizational policies and regulations.
- Enhanced Support: Empowers support teams by giving them a unified view of user interactions for better issue resolution.
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
- Real-time monitoring of communication messages
- Search functionality by message type, timestamp, or sender/recipient
- Data export capabilities (CSV, JSON)
- Filter logs based on status or metadata
- User-friendly interface with paginated results
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
skip
: Number of items to skip (default: 0)limit
: Maximum number of items to return (default: 100)search
: Search term to filter logs by message content or metadata.status
: Filter logs by status (e.g., “DELIVERED”, “FAILED”, etc.)message_type
: Filter logs by message type (e.g., “NOTIFICATION”, “TRANSACTIONAL”, etc.)
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
- Python 3.8+
- Node.js 14+
Installation
# For FastAPI
pip install fastapi python-multipart uvicorn
# For React (if using create-react-app)
npm install react-scripts antd
Usage
- Start the FastAPI server:
uvicorn main:app --reload
- 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.
Related Modules
- Event Logger: Handles logging of events across the application.
- Message Broker: Manages communication between services.
- User Management: Provides user context for messages.
- Search & Filter: Enables querying and filtering logs based on specific criteria.
Use Cases
1. Real-Time Monitoring
- Description: Admins can monitor message traffic in real-time to detect unusual patterns or spikes.
- Example: Identifying a sudden increase in error messages during peak hours.
2. Troubleshooting
- Description: Developers use logs to trace issues and debug communication problems.
- Example: Investigating why certain users are receiving errors when sending messages.
3. Compliance Reporting
- Description: Generate reports for compliance audits, ensuring adherence to regulations.
- Example: Producing monthly reports on message volumes for auditing purposes.
Integration Tips
-
API Integration:
- Use the provided API endpoints to log messages programmatically.
- Example:
POST /api/log
to send events to the dashboard.
-
CI/CD Pipeline Setup:
- Integrate the dashboard into your deployment process for monitoring during testing and production.
-
Data Filtering:
- Implement regex patterns in User Management to filter out sensitive data before logging.
Configuration Options
Parameter | Description | Default Value | Example Value |
---|---|---|---|
enable_real_time | Enable real-time updates | true | true |
log_retention_days | Number of days logs are retained | 30 | 90 |
api_endpoint | Endpoint for API integration | /api/logs | /api/internal_logs |
auth_method | Authentication method (token/basic) | token | basic |
alert_threshold | Number of messages to trigger alerts | 1000 | 5000 |
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.