Dengar kemas kini lokasi masa nyata daripada pulsetracker pada hujung belakang anda

Introduction

Pulsetracker is a powerful, scalable, flexible location-tracking solution for developers seeking real-time updates without being bound to a proprietary client SDK. With Pulsetracker, you have the freedom to integrate location data into your own backend system using WebSockets or APIs, handling real-time tracking with battery-efficient technology.
This guide will walk you through setting up a Python client (listener) to connect to the Pulsetracker backend and listen for location updates.

Getting Started with PulseTracker

Pulsetracker's backend is capable of processing thousands of location changes per second and allows you to decide how to handle and store these updates.
This flexibility is a major advantage for developers who want to maintain control over their data and integration setup.

Here, we’ll connect to the Pulsetracker real-time update service (which is basically a pusher server) using a Python script that listens to a specific device’s location updates.

Setting Up the Python Client

Below is the code for a simple Python client that connects to the PulseTracker Pusher server, subscribes to a location update channel, and processes real-time location updates.

Prerequisites

To run the Python client, you’ll need:

• A Pulsetracker account with an API token.
• In Pulsestracker dashboard or API you can create new App and copy App key
• Python installed on your machine.
• The pysher library, a Python client for Pusher.

You can install pysher using pip:

pip install pysher

Python Code to Listen for Location Updates

Here is the Python client code, followed by a detailed explanation:

#!/usr/bin/env python

import sys
import pysher
import time

# Define global variable for Pusher client
global pusher

# Callback function to process location updates
def channel_callback(data):
    print("Channel Callback: %s" % data)
    # Todo: Pass the update to your queue server or to your database ... 

# Handler for connection establishment
def connect_handler(data):
    channel = pusher.subscribe("private-apps.YOUR_APP_KEY")
    channel.bind('App\\Events\\DeviceLocationUpdated', channel_callback)

if __name__ == '__main__':
    # Set your app key and auth endpoint here
    appkey = "YOUR_APP_KEY"
    auth_endpoint = "https://www.pulsestracker.com/api/broadcasting/auth"

    # Initialize Pusher client with custom host and authentication
    pusher = pysher.Pusher(
        key=appkey,
        auth_endpoint_headers={            
            "Authorization" : "Bearer YOUR_ACCESS_TOKEN"
        },
        auth_endpoint=auth_endpoint,
        custom_host="pusher.pulsestracker.com",
        secure=True,
    )
    pusher.connection.ping_interval = 30
    pusher.connect()

    # Bind the connection handler
    pusher.connection.bind('pusher:connection_established', connect_handler)

    while True:
        time.sleep(1)

Explanation of the Code

1. Imports and Setup:

   • We import necessary modules and define a global pusher variable, which will be used to manage the connection.

2. Defining the channel_callback Function:

   • This function will handle incoming location updates. Here, it simply prints the received data, but you can modify it to forward the data to a database, messaging queue, or any storage solution of your choice.

3. Setting the connect_handler:

   • This function subscribes the client to a specific channel and binds the channel_callback function to the event that transmits location updates, App\\Events\\DeviceLocationUpdated. This event is triggered whenever a new location update is available.

4. Initializing the Pusher Client:

   • Skrip utama memulakan klien Pusher dengan kunci apl khusus anda dan titik akhir pengesahan.
   • Auth_endpoint_headers termasuk token Pembawa, yang harus diganti dengan token API PulseTracker sebenar anda.
   • custom_host ditetapkan kepada pusher.pulsestracker.com, yang merupakan hos untuk perkhidmatan Pusher PulseTracker.
   • Sambungan dikonfigurasikan untuk selamat (secure=True), dan selang ping ditetapkan untuk memastikan sambungan hidup.

5. Memulakan Sambungan:

   • pusher.connect() mewujudkan sambungan dengan pelayan dan pusher.connection.bind mengikat connect_handler untuk melaksanakan setelah sambungan berjaya.

6. Gelung untuk Memastikan Pelanggan Berjalan:

   • Akhir sekali, gelung tak terhingga yang ringkas memastikan skrip kekal aktif, mendengar kemas kini lokasi selama-lamanya.

Langkah Seterusnya

Dengan pelanggan berjalan, ia akan menerima kemas kini lokasi masa nyata daripada PulseTracker. Anda boleh mengubah suai skrip ini lagi kepada:

• Simpan kemas kini pada pangkalan data.
• Majukan data ke API lain.
• Analisis data masuk dalam masa nyata.

Keputusan

Kesimpulan

Pulsetracker menyediakan penyelesaian yang berkesan untuk pembangun mengurus dan menyepadukan penjejakan lokasi masa nyata ke dalam sistem mereka sendiri. Dengan klien Python ini, anda boleh menerima dan mengendalikan kemas kini lokasi dengan lancar, membolehkan anda membina aplikasi berasaskan lokasi tersuai dan berprestasi tinggi tanpa dikunci ke dalam SDK pelanggan atau penyelesaian bahagian belakang tertentu.

Selamat menjejaki dengan Pulsetracker!

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