Feed2WooAI

Feed2WooAI is a WordPress plugin built for managing a WooCommerce catalog fed by external feeds. The main surface is a WordPress Admin panel where the administrator can add or remove feed URLs, start an import for a feed, track progress, search imported products by ID or SKU, and see whether a product has already been rewritten with AI. Separate pages exist for OpenAI configuration and for reviewing operational logs.

The current importer consumes JSON feeds and processes the catalog in batches. For each valid entry, the SKU is the reconciliation key with WooCommerce: an existing SKU is updated instead of being duplicated, while a new SKU creates a published WC_Product_Simple. The suggested price, stock, stock status, category, main image, gallery, and extra feed fields are synchronized, with the latter persisted as meta data under a dedicated prefix. WooCommerce categories are created as needed, and the category image can be pulled from the provider's storage when the feed includes an imageId.

Processing is controlled through queues persisted in the WordPress Options API. The import queue keeps track of the current feed, offset, number of new products, total, and completion state, and the AJAX interface successively requests one batch at a time and updates the progress bar. The import also uses a lock transient to avoid two simultaneous batches. This mechanism is not a distributed queue and has notable limitations: entries without a SKU do not advance the offset, a lock can remain active when the queue is missing, and automatic initialization from the REST endpoint reuses the AJAX handler that requires a nonce, which makes the REST cron dependent on an already-initialized queue or on fixing this flow.

AI rewriting is implemented separately through OpenAI Chat Completions. The administrator configures the key and the prompt template, and the product sends its title and current description to the model. The response is parsed in a Title/Description format, then the WooCommerce name and description are updated and the product receives the _f2wai_ai_rewritten meta flag. Rewriting can be triggered for all imported products that don't have the flag, or individually, directly from the table. The AI queue processes one product per iteration, but has no lock of its own, limited retry, or backoff; if a rewrite fails, the offset does not advance and the same product can block progress.

Images are downloaded through the WordPress Media APIs and attached to products. To reduce processing cost, the plugin disables intermediate thumbnail generation during sideloading and keeps a URL cache only within the current batch. The code renames downloaded files with a .webp extension without actually converting the format, so this area should be treated as an incomplete optimization rather than a real media-conversion pipeline.

Automation is prepared through two REST endpoints — import and AI rewrite — protected by a key saved in WordPress options, plus Bash and PowerShell script generators for running from cPanel or another external cron. The repository contains Bash scripts configured for a real site, which confirms practical use of the flow, but these include a REST key in plain text and must be regenerated with the secret rotated. The endpoints use the key in the query string and a public permission_callback, so security currently depends on that secret.

The plugin defines no tables of its own and uses native WordPress/WooCommerce structures: options for configuration and queues, post meta for imported flags and fields, the product_cat taxonomy for categories, and the Media Library for images. Interactive administration uses jQuery and the WordPress AJAX API with a nonce and manage_options checks for the main operations. There is no test suite, CI/CD, or GitHub workflows in the analyzed repository, and the available history is a single portfolio backup commit.