• It has a linear execution time depending on the number of posts on cold start and logarithmic on hot start.
• Memory usage is constant, no changes when the number of posts increases.
• The level of memory usage on cold start may be adjusted by urls chunk size (the number of links that requested in parallel, now 5 links).

• NO use of existing frameworks (created NanoFramework just for task)
• NO use of external modules/libraries
• Docker container for php8 & composer
• GitHub Actions CI\CD
• Composer & PSR autoload
• Curl multi execution, query urls in parallel
• Custom exceptions
• PSR Logs/Cache
• SPL FixedArray
• DB - file/table for a yielding reading by rows
• Console colored prints to the screen
• Psalm static analysis tool
• PHPUnit + PEST tests

1. Get token for user & put it to the user cache (1 hour)
2. Generate urls chunks (by 5 links)
3. Send each chunk to the http client
4. For each chunk, get multiple links results in parallel
5. Save each chunk results to the DB in append mode (cache for 1 minute, posts may change)
6. Start reading from DB by row/post
7. Send each post to Statistic calculator that aggregate data

1. Start reading from DB by row/post
2. Send each post to Statistic calculator that aggregate data

$ git clone https://github.com/GeorgII-web/supermetrics

$ cp config.example.php config.php
$ composer install

Change config values.

$ php command statistics
$ php command help
$ php command cache clear

$ docker-compose up -d --build
$ docker exec -it supermetrics_php bash

$ cp config.example.php config.php
$ composer install

Change config values.

$ php command statistics
$ php command help
$ php command cache clear

$ php ./vendor/bin/psalm
$ php ./vendor/bin/pest