监听后端脉冲跟踪器的实时位置更新

Mary-Kate Olsen
发布: 2024-11-15 03:23:02
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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
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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)
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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:

    • 主脚本使用您的特定应用程序密钥和身份验证端点初始化 Pusher 客户端。
    • auth_endpoint_headers 包含一个 Bearer 令牌,应将其替换为您实际的 PulseTracker API 令牌。
    • custom_host 设置为 Pusher.pulsestracker.com,这是 PulseTracker Pusher 服务的主机。
    • 连接配置为安全 (secure=True),并设置 ping 间隔以保持连接处于活动状态。
  5. 开始连接:

    • Pusher.connect() 与服务器建立连接,pusher.connection.bind 绑定 connect_handler,连接成功后执行。
  6. 循环以保持客户端运行:

    • 最后,一个简单的无限循环可确保脚本保持活动状态,无限期地侦听位置更新。

下一步

客户端运行时,它将接收来自 PulseTracker 的实时位置更新。您可以进一步修改此脚本为:

  • 将更新保存到数据库。
  • 将数据转发到另一个API。
  • 实时分析传入的数据。

结果

Listen for realtime location updates from pulsetracker on your backend

结论

Pulsetracker 为开发人员提供了有效的解决方案来管理实时位置跟踪并将其集成到他们自己的系统中。借助此 Python 客户端,您可以无缝接收和处理位置更新,使您能够构建自定义、高性能的基于位置的应用程序,而无需锁定到特定的客户端 SDK 或后端解决方案。

祝您使用 Pulsetracker 追踪愉快!

以上是监听后端脉冲跟踪器的实时位置更新的详细内容。更多信息请关注PHP中文网其他相关文章!

来源:dev.to
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