監聽後端脈衝追蹤器的即時位置更新

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:

   • 主腳本使用您的特定應用程式金鑰和驗證端點初始化 Pusher 用戶端。
   • auth_endpoint_headers 包含一個 Bearer 令牌，應將其替換為您實際的 PulseTracker API 令牌。
   • custom_host 設定為 Pusher.pulsestracker.com，這是 PulseTracker Pusher 服務的主機。
   • 連線配置為安全性 (secure=True)，並設定 ping 間隔以保持連線為活動狀態。

5. 開始連線:

   • Pusher.connect() 與伺服器建立連接，pusher.connection.bind 綁定 connect_handler，連線成功後執行。

6. 循環以保持客戶端運作:

   • 最後，一個簡單的無限循環可確保腳本保持活動狀態，無限期地偵聽位置更新。

下一步

客戶端運行時，它將接收來自 PulseTracker 的即時位置更新。您可以進一步修改此腳本為：

• 將更新儲存到資料庫。
• 將資料轉送到另一個API。
• 即時分析傳入的資料。

結果

結論

Pulsetracker 為開發人員提供了有效的解決方案來管理即時位置追蹤並將其整合到自己的系統中。借助此 Python 用戶端，您可以無縫接收和處理位置更新，使您能夠建立自訂、高效能的基於位置的應用程序，而無需鎖定到特定的客戶端 SDK 或後端解決方案。

祝您使用 Pulsetracker 追蹤愉快！

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