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Laravel's configuration cache improves performance by merging all configuration files into a single cache file. Enabling configuration cache in a production environment can reduce I/O operations and file parsing on each request, thereby speeding up configuration loading; 1. It should be enabled when the application is deployed, the configuration is stable and no frequent changes are required; 2. After enabling, modify the configuration, you need to re-run phpartisanconfig:cache to take effect; 3. Avoid using dynamic logic or closures that depend on runtime conditions in the configuration file; 4. When troubleshooting problems, you should first clear the cache, check the .env variables and re-cache.

To enable PHP containers to support automatic construction, the core lies in configuring the continuous integration (CI) process. 1. Use Dockerfile to define the PHP environment, including basic image, extension installation, dependency management and permission settings; 2. Configure CI/CD tools such as GitLabCI, and define the build, test and deployment stages through the .gitlab-ci.yml file to achieve automatic construction, testing and deployment; 3. Integrate test frameworks such as PHPUnit to ensure that tests are automatically run after code changes; 4. Use automated deployment strategies such as Kubernetes to define deployment configuration through the deployment.yaml file; 5. Optimize Dockerfile and adopt multi-stage construction

Laravel's EloquentScopes is a tool that encapsulates common query logic, divided into local scope and global scope. 1. The local scope is defined with a method starting with scope and needs to be called explicitly, such as Post::published(); 2. The global scope is automatically applied to all queries, often used for soft deletion or multi-tenant systems, and the Scope interface needs to be implemented and registered in the model; 3. The scope can be equipped with parameters, such as filtering articles by year or month, and corresponding parameters are passed in when calling; 4. Pay attention to naming specifications, chain calls, temporary disabling and combination expansion when using to improve code clarity and reusability.

Select logging method: In the early stage, you can use the built-in error_log() for PHP. After the project is expanded, be sure to switch to mature libraries such as Monolog, support multiple handlers and log levels, and ensure that the log contains timestamps, levels, file line numbers and error details; 2. Design storage structure: A small amount of logs can be stored in files, and if there is a large number of logs, select a database if there is a large number of analysis. Use MySQL/PostgreSQL to structured data. Elasticsearch Kibana is recommended for semi-structured/unstructured. At the same time, it is formulated for backup and regular cleaning strategies; 3. Development and analysis interface: It should have search, filtering, aggregation, and visualization functions. It can be directly integrated into Kibana, or use the PHP framework chart library to develop self-development, focusing on the simplicity and ease of interface.

Createahelpers.phpfileinapp/HelperswithcustomfunctionslikeformatPrice,isActiveRoute,andisAdmin.2.Addthefiletothe"files"sectionofcomposer.jsonunderautoload.3.Runcomposerdump-autoloadtomakethefunctionsgloballyavailable.4.Usethehelperfunctions

Create referrals table to record recommendation relationships, including referrals, referrals, recommendation codes and usage time; 2. Define belongsToMany and hasMany relationships in the User model to manage recommendation data; 3. Generate a unique recommendation code when registering (can be implemented through model events); 4. Capture the recommendation code by querying parameters during registration, establish a recommendation relationship after verification and prevent self-recommendation; 5. Trigger the reward mechanism when recommended users complete the specified behavior (subscription order); 6. Generate shareable recommendation links, and use Laravel signature URLs to enhance security; 7. Display recommendation statistics on the dashboard, such as the total number of recommendations and converted numbers; it is necessary to ensure database constraints, sessions or cookies are persisted,

UseMockeryforcustomdependenciesbysettingexpectationswithshouldReceive().2.UseLaravel’sfake()methodforfacadeslikeMail,Queue,andHttptopreventrealinteractions.3.Replacecontainer-boundserviceswith$this->mock()forcleanersyntax.4.UseHttp::fake()withURLp

Create a seeder file: Use phpartisanmake:seederUserSeeder to generate the seeder class, and insert data through the model factory or database query in the run method; 2. Call other seeder in DatabaseSeeder: register UserSeeder, PostSeeder, etc. in order through $this->call() to ensure the dependency is correct; 3. Run seeder: execute phpartisandb:seed to run all registered seeders, or use phpartisanmigrate:fresh--seed to reset and refill the data; 4