How to use Webman to visualize website data and generate reports-Workerman-php.cn

How to use Webman to visualize website data and generate reports

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Release： 2023-08-27 14:52:52

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How to use Webman to visualize website data and generate reports

How to use Webman for data visualization and report generation on the website

Introduction:
In the development process of Web applications, for data visualization and report generation is an essential part. The traditional way is to write a lot of code for data query, processing and display, which is heavy workload and time-consuming. However, there is now a tool called Webman that can help developers easily visualize website data and generate reports. This article will introduce how to use Webman to achieve this function and provide code examples.

1. Introduction to Webman
Webman is a Python-based Web framework that can help developers quickly implement various functions in websites, including data visualization and report generation. It provides a rich API and plug-ins, supports various databases, and is highly customizable.

2. Install and configure Webman

First, you need to install Python and pip. Python is the running environment of Webman, and pip is the package management tool of Python.
Open the command line window and enter the following command to install Webman:

pip install webman

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After the installation is complete, Webman needs to be configured. Create a configuration file named webman.yaml in the root directory of the project and fill in the following content:

server:
  host: 127.0.0.1
  port: 8000

database:
  driver: mysql
  host: localhost
  username: root
  password: password
  database: mydb

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Among them, host and port are the address and port number of the Webman server, and driver is the database. Driver, username and password are the login information of the database, and database is the name of the database to be connected. Replace this information with actual values.

3. Create a data visualization page

Create a folder named visualizations in the root directory of the project to store related files of the data visualization page.
Create an HTML file in the visualizations folder and name it index.html. Write HTML and JavaScript code in files to display data visualization effects. The following is a simple example:

<!DOCTYPE html>
<html>
<head>
  <title>Data Visualization</title>
  <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
</head>
<body>
  <canvas id="myChart"></canvas>

  <script>
    // 获取数据，并生成图表
    fetch('/api/data')
      .then(response => response.json())
      .then(data => {
        var ctx = document.getElementById('myChart').getContext('2d');
        var myChart = new Chart(ctx, {
          type: 'bar',
          data: {
            labels: data.labels,
            datasets: [{
              label: 'Data',
              data: data.values,
              backgroundColor: 'rgba(0, 123, 255, 0.5)',
              borderColor: 'rgba(0, 123, 255, 1)',
              borderWidth: 1
            }]
          },
          options: {
            responsive: true,
            scales: {
              y: {
                beginAtZero: true
              }
            }
          }
        });
      });
  </script>
</body>
</html>

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4. Create API interface

Create a folder named apis in the root directory of the project to store the API Interface related files.
Create a Python file named data.py in the apis folder to handle data requests. The following is a simple example:

from webman import api, database

@api.route('/data')
def get_data():
  # 连接数据库
  db = database.connect()

  # 执行查询语句
  result = db.select('SELECT * FROM table')

  # 处理查询结果
  labels = [row.name for row in result]
  values = [row.value for row in result]

  # 返回数据
  return dict(labels=labels, values=values)

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5. Start the Webman server

In the command line window, switch to the root directory of the project.
Enter the following command to start the Webman server:

webman server

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Open the browser and visit http://localhost:8000/visualizations/index.html to see The effect of data visualization page.

Conclusion:
By using Webman, developers can easily implement the data visualization and report generation functions of the website. You only need to write a small amount of code to quickly connect to the database, obtain data and display it. Webman's rich APIs and plug-ins, as well as its highly customizable features, make development work easier and more efficient.

The above is an introduction to how to use Webman to visualize website data and generate reports. Hope this article is helpful to you, if you have any questions, please feel free to contact us. thanks for reading!

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