The storefront showed no inventory after deploying the categories/tags
release. No data was lost: the code queried categories/item_tags/
items.category_id against a database where the migration had not been
run, and that failure was invisible at every layer.
Three changes, each addressing one layer:
Migrations now run at container start, so deployed code cannot be ahead
of the schema and the easily-forgotten manual `docker exec migrate.js
up` step disappears. migrate.js waits for Postgres to accept
connections first, since the NAS brings the DB container up slower than
the app, and still exits non-zero so a bad migration stops the
container rather than serving a half-migrated schema.
Express 4 does not forward a rejected async handler, and no error
middleware was mounted, so a failing query never responded at all. Async
routes are now wrapped and an error middleware guarantees a 500. A hung
request is indistinguishable from an empty result in the UI, which is
how a schema mismatch came to read as "the store has no items".
The storefront now separates "request failed" from "no items" and offers
a retry. fetchItems/fetchFilterOptions throw on a non-OK response rather
than returning the parsed error body, which would have been set as the
item list and crashed the grid on .map.
Also restores the project-context update from 7fb5764, which was left
out of PR #24 and ended up dangling.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Adds a self-referencing categories tree, a tag registry with
deterministic colours, and item_tags, plus admin CRUD for both.
GET /api/items now accepts category, tags, min_price and max_price.
Category matching walks the subtree with a recursive CTE so selecting a
parent includes everything filed beneath it; tags match with AND via a
count check, since ANY() alone would return items carrying only one of
them. Malformed filter params return 400 rather than being ignored, so a
broken link doesn't quietly list the whole catalogue.
GET /api/filters serves the drawer its tree, tags, and price bounds in
one request.
Item image/tag aggregation moves from LEFT JOIN + GROUP BY to scalar
subqueries. Joining two one-to-many relations multiplies their rows, so
an item with 2 images and 3 tags would have repeated every image three
times once tags were added.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
bermudalambandClaude Opus 5