


Method of automatic testing tool travis-ci in Github_PHP tutorial
The method of automatic testing tool travis-ci in Github
travis-ci. It is a cloud continuous integration service. This tool will submit code every time you push. , perform functional testing of the code to run all tests in the t/ directory under the Perl module directory. This test will automatically create a virtual machine and can test different Perl versions. If it passes, it will display green, if it fails, it will Displayed in red, very convenient.
Configuration of DSL mode
To use this function, you only need to add a ".travis.yml" configuration file to the Perl module on your Github. This will automatically monitor the changes to the code on your Github and automatically submit for testing.
The commonly used Perl configuration test image is as follows
代码如下 | |
language: perl perl: - "5.20" - "5.18" - "5.16" - "5.14" - "5.12" - "5.10" env: - "HARNESS_OPTIONS=j9 TEST_POD=1 TEST_EV=1 TEST_IPV6=1 TEST_SOCKS=1 TEST_TLS=1" install: - "cpanm -n Test::Pod Test::Pod::Coverage EV IO::Socket::IP IO::Socket::Socks IO::Socket::SSL" - "cpanm -n --installdeps ." notifications: email: false |
First specify the language of your project through the language above. Then specify the Perl version you need to use for testing. You can write what modules you need to install before testing.
Github and Travis CI integration
After the above configuration file is configured and placed in the directory of your git project, you need to go to the https://travis-ci.org website to activate the testing function of your project through your github account. Enter After that, click "Travis CI for private Repositories", and the following picture will appear. You can see your project on github, and then choose to open... Note that your project must have the files mentioned above.
After doing this, every time you submit code to github, this tool will automatically create a clean virtual machine, and then conduct automated testing through the Perl version you specified.
Test process and result query
You can write notifications to notify you of the test results. In addition, you can also go to the website https://travis-ci.com/ to view the detailed test results, as shown below. If it is red, it means failure, you can click directly Turn on red to see the detailed failure reasons and test process.
Test code coverage
According to Fayland’s guidance... I discovered another interesting thing. For example, we added the following content to the ".travis.yml" configuration file above
代码如下 | |
before_install: - "cpanm Mojo::UserAgent" - "cpanm Test::More" - "cpanm Devel::Cover::Report::Coveralls" script: perl Makefile.PL && make test && cover -test -report coveralls |
The main thing is to add the cover -test -report coveralls part. Because it requires the support of the Devel::Cover::Report::Coveralls module, let it install this first.
Then go to https://coveralls.io and open it. This will send the cover data to that website.
In this way, you can also add badges to the github page to display code coverage

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PHP uses MySQLi and PDO extensions to interact in database operations and server-side logic processing, and processes server-side logic through functions such as session management. 1) Use MySQLi or PDO to connect to the database and execute SQL queries. 2) Handle HTTP requests and user status through session management and other functions. 3) Use transactions to ensure the atomicity of database operations. 4) Prevent SQL injection, use exception handling and closing connections for debugging. 5) Optimize performance through indexing and cache, write highly readable code and perform error handling.

Using preprocessing statements and PDO in PHP can effectively prevent SQL injection attacks. 1) Use PDO to connect to the database and set the error mode. 2) Create preprocessing statements through the prepare method and pass data using placeholders and execute methods. 3) Process query results and ensure the security and performance of the code.

PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

PHP is widely used in e-commerce, content management systems and API development. 1) E-commerce: used for shopping cart function and payment processing. 2) Content management system: used for dynamic content generation and user management. 3) API development: used for RESTful API development and API security. Through performance optimization and best practices, the efficiency and maintainability of PHP applications are improved.

PHP makes it easy to create interactive web content. 1) Dynamically generate content by embedding HTML and display it in real time based on user input or database data. 2) Process form submission and generate dynamic output to ensure that htmlspecialchars is used to prevent XSS. 3) Use MySQL to create a user registration system, and use password_hash and preprocessing statements to enhance security. Mastering these techniques will improve the efficiency of web development.

PHP and Python each have their own advantages, and choose according to project requirements. 1.PHP is suitable for web development, especially for rapid development and maintenance of websites. 2. Python is suitable for data science, machine learning and artificial intelligence, with concise syntax and suitable for beginners.

PHP is still dynamic and still occupies an important position in the field of modern programming. 1) PHP's simplicity and powerful community support make it widely used in web development; 2) Its flexibility and stability make it outstanding in handling web forms, database operations and file processing; 3) PHP is constantly evolving and optimizing, suitable for beginners and experienced developers.


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