I've been looking into assistance with a 3D graphics rendering service I'm trying to create. I plan to build a WP site with Elementor & other plugins around a custom dashboard with 3 elements below. These functions would interact with the localhost via bash to action 3rd party services like AWS. I can provide these actions and the surrounding design but I'm looking for someone to work with to enable the following PHP dashboard elements to load specific to each user registered.
Upload and scene management - this would be a table that takes a .zip upload from user and extracts before redirecting to s3 AWS blob storage/storage flexible. Then, the root level with the extracted folder should be displayed in table format to the user and allow for basic folder/file navigation, downloading(zip)/deleting folders and a capacity indicator showing "storage" usage out of 50GB.
Job management - this begins with a dropdown for software type used (I can provide these and further values of dropdowns), then another dropdown for renderer type that is based on the selection of software above. Then scene file selection with the ability to browse the storage referenced in the upload and scene management section above. Same again for another dropdown for scene output selection. Finally a button to submit the "job" which should link to a bash script with arguments passed with the information above. The submitted job will create a mongoDB row entry on the database with information given. This information needs to be displayed on a table to the user via mongoDB export, automated action to clean up the data before presenting to the user and autorefreshing on the page. Additionally, the user should be able to click a job entry row and click a button on the table to show the latest "job report" which is another mongoDB export
Machine management - this begins with a dropdown for software type and another filtered dropdown for renderer type based on the software selection above (similar to section above.) Then, the user needs to be able to enter a number for quantity of machines required and a launch button to execute a bash script with arguments. The AWS spot fleet requests created need to be presented to the user in another table with the ability to click the entry and select a button to delete the spot fleets selected. This should then update the table values once deleted. Finally, in the corner of this section a current cost usage metric must be displayed for the user viaAWS
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