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使用 Python 自动化 API:创建 Trivia 问答 CSV 文件_AI阅读总结 — 包阅AI

包阅导读总结

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关键词:Python、Automation、APIs、Trivia Quiz、CSV File

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总结:本文介绍了利用 Python 自动化处理 APIs,通过与 Trivia API 交互生成 CSV 格式的问答文件,包括所需模块安装、项目构建步骤等,强调了自动化的作用和 Python 在其中的优势。

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主要内容:

– 介绍自动化的作用及适用人群

– 可处理重复任务,对软件开发、营销、数据科学等领域有价值

– 项目准备

– 安装 Python 的 requests 模块,csv 和 html 模块已预装

– 构建 Trivia QA 项目

– 创建 main.py 文件

– 提示用户输入问题数量和难度

– 定义 API 端点和请求参数

– 请求 JSON 并提取数据

– 初始化列表保存问答对

– 遍历数据处理 HTML 实体和布尔型问题

– 创建 CSV 文件并写入问答对

– 总结

– 强调自动化的优点及 Python 开发的重要性

思维导图:

文章地址:https://thenewstack.io/python-for-automating-apis-create-a-trivia-quiz-csv-file/

文章来源:thenewstack.io

作者:Teri Eyenike

发布时间:2024/7/7 20:05

语言:英文

总字数:918字

预计阅读时间:4分钟

评分:83分

标签:Python,API自动化,Trivia问答,CSV文件,数据处理


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Technology is changing the scope of work, and automation is one way to do tasks faster with less time and effort.

With advanced tools and programming languages like Python, it is possible to learn to automate things like file operations, spreadsheets, email, file and directory management, and even work with different APIs to get desired information as structured data like JSON, XML, CSV (comma-separated value) and so on.

Developers are always looking for ways to improve and make the software development life cycle more efficient. Python, with its simple syntax and ability to process and handle complex tasks, is a handy tool for this purpose.

The Role of Automation

Automation involves creating scripts and applications that automatically perform repetitive tasks without human intervention or assistance.

If you work with large datasets or do manual tasks to compute data, automation is valuable for:

  • Software development
  • Marketing professionals
  • Data science
  • Business analysts and financial analysts

The following guide will help you understand how to interact with APIs to take automation to the next level. It will also help you integrate an API into a program to fetch its data sources and generate a list of CSV trivia questions on demand, along with the answers, using the Trivia API.

Setup and Installation

To ensure your scripts can handle connecting and retrieving information from websites and APIs (server), the Python requests module is required:

pip install requests

The requests module is an HTTP library for exchanging information over the internet.

The other modules, csv and html come pre-installed as part of the Python standard library.

  • csv: This module creates a CSV file.
  • html: This helps to decode or unescape html entities or ASCII characters into their original characters in plain text.

Building the Trivia QA Project

First, let’s set up the program by creating a file called main.py in any code editor you choose. This program will run in your terminal’s CLI.

Make sure the file is contained within a folder.

These three libraries will do all the work for the program, including sending the HTTP requests and writing the response to a CSV file.

Next, let’s prompt the user to do the following with the input function:

This allows the user to enter the number of trivia questions they’d like to see

Also, prompt the user to specify the difficulty of the questions:

Define the API endpoint

Use the Open Trivia Database as shown in the URL variable:

Set Up Request Parameters

Request parameters offer a structured way to send additional or optional information through key-value pairs that append to an API URL after the question mark. Therefore, the request parameter allows both the client and the server to have a more specific interaction, enabling the server to return data that is aligned more closely with what the client or user is looking for.

Define and set the following request parameters to the request_params variable:

The value for each key in the request_params represents information like amount, difficulty and category from the Trivia API. The category value set to “18” relates to the “Science: Computers” question category.

Requesting JSON and Extracting the Data With Python

To fetch data from a web server, the GET request is paired to the Trivia API using the requests library:

The response variable accepts the API URL, headers that format the server’s data as JSON and the parameters dictionary.

To extract the trivia data, parse the response as JSON using the .json method of the response object:

Extracting data from Python for Trivia Quiz CSV File

The resulting data

Initialize a List

Initializing a list is important at this stage to hold the question-and-answer pairs later in the saved CSV.

The header row starts with Question and Answer.

Looping Through the Trivia Data

Handling each item in the data is achieved using the for loop as shown:

This arrangement helps to unescape the HTML entities in the question and answer using the html.unescape method. For example, &lt; &amp; will be converted to <, & where such occurrence appears.

Also, if the question type is a Boolean, prepend “True or False? “ to the question.

Now, append each question and its correct answer to the list to create a new row using the qna variable:

Creating the CSV

The final step is to write the question-and-answer pairs to a CSV file named “tech_trivia.csv” with the code:

This code block opens the file in write mode with newline set to an empty string. Thereafter, use the writer method of the CSV library to create a CSV writer object and write the rows to the file using the writerows method.

When the file is executed with the command python main.py in the terminal, the message “File created” appears, signifying that the file was created!

Conclusion

Automation has made simple tasks autonomous. For example, using Python code and API, you can generate a file populated with trivia questions and answers.

With this knowledge, you can do a lot more by making boring tasks enjoyable, and everyone benefits without the need for manual data computation.

As technology evolves and businesses become more reliant on software, Python development has become one of the most in-demand skills in the job market. However, finding the right Python developer for your company can be daunting. Read this guide to navigate the hiring process for a Python developer, including defining your project needs and evaluating and hiring candidates.

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