Message Search & Filtering

Communication → Gold
💰 $2000

Locate specific messages or conversations quickly.

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Message Search & Filtering Module Overview

Purpose

The Message Search & Filtering module is designed to streamline the process of locating specific messages or conversations within a communication system. It provides developers with efficient tools to enhance message management, ensuring quick access to necessary information.

Key Benefits

Usage Scenarios

1. Search Across All Messages

2. Filter by Metadata

3. Real-Time Monitoring

4. High Traffic Handling

5. Integration with Third-Party Tools

6. Pattern Matching and Regular Expressions

7. Sentiment Analysis Integration (If applicable)

This module is a vital tool for developers seeking efficient and scalable message management solutions, offering both flexibility and robust functionality.

Message Search & Filtering Module Features

2. Exact Phrase Matching

4. Search by Metadata

6. Date/Time Filtering

7. Tagging Support

8. Efficiency Optimizations

These features ensure that the Message Search & Filtering module is both powerful and flexible, catering to a wide range of use cases in communication applications.

Message Search & Filtering Module Documentation

This module provides functionality to search and filter messages or conversations efficiently.


1. FastAPI Endpoint

This endpoint demonstrates how to implement message searching using FastAPI.

# app/api/routers/search.py

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

router = APIRouter()

class SearchQuery(BaseModel):
    query: str
    sender: Optional[str] = None
    subject: Optional[str] = None
    start_date: Optional[date] = None
    end_date: Optional[date] = None

class Message(BaseModel):
    id: int
    content: str
    sender: Optional[str]
    subject: Optional[str]
    date: date

@router.get("/api/search-messages", response_model=List[Message])
async def search_messages(query_params: SearchQuery = Depends()):
    # Implementation details:
    # 1. Connect to message database
    # 2. Apply query filters based on query_params
    # 3. Return matching messages
    
    return [
        Message(
            id=1,
            content="Meeting reminder tomorrow at 2 PM.",
            sender="John Doe",
            subject="Team Meeting",
            date=date.today()
        ),
        # Add more results as needed
    ]

2. React UI Snippet

This React component demonstrates a simple search interface for messages.

import React, { useState } from 'react';

function MessageSearch() {
    const [searchQuery, setSearchQuery] = useState({
        query: '',
        sender: '',
        subject: '',
        startDate: '',
        endDate: ''
    });

    const handleSubmit = (e) => {
        e.preventDefault();
        // Implementation details:
        // 1. Make API call to /api/search-messages
        // 2. Handle response and display messages in a results section
    };

    return (
        <form onSubmit={handleSubmit} className="search-form">
            <div className="form-group">
                <label>Query:</label>
                <input 
                    type="text" 
                    value={searchQuery.query}
                    onChange={(e) => setSearchQuery({...searchQuery, query: e.target.value})}
                />
            </div>
            <div className="form-group">
                <label>Sender:</label>
                <input 
                    type="text" 
                    value={searchQuery.sender}
                    onChange={(e) => setSearchQuery({...searchQuery, sender: e.target.value})}
                />
            </div>
            <div className="form-group">
                <label>Subject:</label>
                <input 
                    type="text" 
                    value={searchQuery.subject}
                    onChange={(e) => setSearchQuery({...searchQuery, subject: e.target.value})}
                />
            </div>
            <div className="form-group">
                <label>Date Range:</label>
                <input 
                    type="date" 
                    value={searchQuery.startDate}
                    onChange={(e) => setSearchQuery({...searchQuery, startDate: e.target.value})}
                />
                <input 
                    type="date" 
                    value={searchQuery.endDate}
                    onChange={(e) => setSearchQuery({...searchQuery, endDate: e.target.value})}
                />
            </div>
            <button type="submit">Search Messages</button>
        </form>
    );
}

export default MessageSearch;

3. Data Schema (Pydantic)

This schema defines the structure for message search requests and responses.

# app/api/models/search.py

from pydantic import BaseModel
from datetime import date

class SearchQuery(BaseModel):
    query: str
    sender: Optional[str] = None
    subject: Optional[str] = None
    start_date: Optional[date] = None
    end_date: Optional[date] = None

class Message(BaseModel):
    id: int
    content: str
    sender: Optional[str]
    subject: Optional[str]
    date: date

class SearchResponse(BaseModel):
    results: List[Message]
    total_results: int
    page: int
    per_page: int

Summary

This module allows developers to implement efficient message searching with flexible filtering options.

Technical Documentation for Message Search & Filtering Module

Overview

The Message Search & Filtering module is designed to efficiently locate specific messages or conversations within a communication system. This module is targeted towards developers aiming to integrate search and filtering functionalities into their applications.



Use Cases

  1. Search by Keywords

    • Scenario: A user wants to find all messages containing a specific keyword.
    • Description: The module scans through the message repository and returns a list of matching conversations or messages.
  2. Filter Messages by Sender or Date

    • Scenario: An administrator needs to review messages sent by a particular user during a specific timeframe.
    • Description: Filters are applied based on sender ID and date ranges, returning relevant messages for further action.
  3. Real-Time Message Filtering with Notifications

    • Scenario: A system requires immediate alerts when certain keywords appear in new messages.
    • Description: The module integrates with the notification system to trigger alerts as soon as matching criteria are met.
  4. Bulk Operations on Messages

    • Scenario: A developer needs to delete multiple messages based on specific criteria, such as being older than a certain date.
    • Description: The module processes bulk operations efficiently, ensuring data integrity and performance.

Integration Tips


Configuration Options

NameTypeDescriptionDefault ValueRemarks
enable_realtime_searchBooleanEnables real-time search functionality.falseDefaults to off for stability; requires proper infrastructure for high traffic.
max_resultsIntegerLimits the number of results returned per query.100Adjust based on system capacity and user requirements.
search_providerStringSpecifies which search providers are used (e.g., Elasticsearch, Solr).ElasticsearchMultiple providers can be configured for redundancy or load balancing.
cache_search_queriesBooleanEnables caching of frequently searched queries to improve performance.trueCaching duration can be adjusted via additional configuration parameters.

This documentation provides a comprehensive guide to integrating and configuring the Message Search & Filtering module, ensuring efficient and secure message management within your communication system.