Commit Graph

8 Commits

Author SHA1 Message Date
JP
e0c1814cf1 Put images behind the session and make routes private by default
The /minio-images rewrite proxied straight onto the MinIO bucket with no
authentication, and the bucket carries an anonymous read policy. Verified
from the public internet: GET /minio-images?list-type=2 returned a full
ListBucketResult naming all 33 objects, and any key then fetched 200. Every
menu scan, drink photo and bar photo was enumerable and downloadable by
anyone. Replaced with a route handler that requires a session and streams
via the existing getImage(). The URL shape is unchanged, so stored
imageUrls, uploadImage/getImageUrl and every <img> keep working.

Nothing uses next/image and it must stay that way here: the optimizer
fetches server-side without the session cookie.

Route protection was an allowlist that had to be updated by hand for each
new page, and had already been missed for /bar, /bartender and /recommend,
which rendered to logged-out visitors. /recipes was in the middleware
matcher but not the authorized() list, so it fell through too. Inverted
both to a denylist so new pages are private by default. /api stays out of
the matcher because authorized() answers with an HTML redirect and API
clients need the JSON 401 those routes already return.

Also fixes a cross-user write: POST /api/recipes took sourceDrinkId from
the client with no ownership check, and the drink detail page loaded its
recipes relation unfiltered, so one user could attach an arbitrary recipe
to another user's drink where it rendered permanently and the owner could
not delete it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-08 20:20:39 +00:00
JP
058735b1a0 Mirror external images into our own storage so they render
Bar items added by barcode stored the Open Food Facts image URL
directly. The CSP in next.config.mjs restricts img-src to our own
origin, so the browser blocked those and showed a broken image - the
picture was fine, we just could not display it.

Copy externally-hosted images into MinIO at lookup time and hand back a
/minio-images path instead. That fixes the class rather than the
instance: no CSP entry is needed per image source, the picture survives
the source deleting or reorganising it, and the user's browser never
has to talk to a third party to render their own bar.

Also fixes a latent bug this uncovered: imageUrl was validated with
z.string().url(), which rejects the relative /minio-images/... paths
that uploadImage returns, so saving an uploaded drink image would fail
validation. That matches production having zero drinks with an image.
Both schemas now accept either form.

CSP keeps two third-party entries for OAuth avatars, which the provider
hosts and we only ever receive as a URL at sign-in.

Existing rows were backfilled separately.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-08 19:06:45 +00:00
JP
a0e1619072 Route all AI features through the Switchboard gateway
Replace the direct Anthropic and OpenAI integrations with a single
provider that talks to Switchboard, an OpenAI-compatible gateway that
routes each request to the best available model. The app no longer pins
a model id anywhere: it sends switchboard/auto and lets the gateway
choose, then logs which model answered and what it cost.

Routing levers are set per feature in src/lib/ai/routing.ts. Three of
those choices came from measuring against the live gateway:

- category and prefer_free are set explicitly on every request. An API
  key carries its own routing defaults, and anything left unset inherits
  them - drink prompts were being sent to a free coding model.
- Token budgets are generous because the router may pick a reasoning
  model, and reasoning tokens come out of the same max_tokens budget as
  the answer. At 512 tokens a request returned null content; at 4096 the
  same request returned correct JSON.
- No tier lever on text features. tier "cheap" pinned a slow reasoning
  model (42-180s, two timeouts and one truncated response in five
  trials) and tier "frontier" escalated as far as Opus at $0.02 a call,
  while unconstrained routing answered in about a second. Vision keeps
  "frontier", where the accuracy is worth a few tenths of a cent.

Gateway failures are mapped to actionable messages rather than passed
through: a 401 relayed as 401 would read as an expired session and
bounce the user to login, and a 429 would collide with the app's own
rate limiter.

Also collapses the key lookup that was duplicated across ten call sites
into getUserProvider(), which fixes a latent bug where a bare findFirst
with no ordering let different features pick different providers.

Existing claude/openai key rows are ignored at runtime and offered for
removal in Settings, so no migration is needed before deploying.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-08 16:41:00 +00:00
JP Scott
dc1ad4d0c0 Add recipes, images, AI photo ID, barcode scanning & ingredient matching
- Fuzzy ingredient matching for bar inventory against recipes
- AI photo identification API for bottles/labels (drink + bar context)
- Barcode scanner with photo toggle for My Bar
- Barcode scan + photo ID buttons on Add Drink form
- Auto-pull product images from Open Food Facts barcode lookup
- Recipes section on drink detail pages with bar availability
- Dedicated Recipes page in sidebar navigation
- Bar item image support (schema, upload, display)
- Drink detail image upload component
- MinIO image proxy through Next.js rewrites (fixes broken image links)
- Improved category mapping (energy drinks → Mixers, not Spirits)
- Re-process saved recipe ingredients against current bar inventory

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 22:26:17 -07:00
JP Scott
2ac2c4b2d4 Add My Bar, Bartender, Recommend features + drink images
- Drink Images: upload/display photos of bottles/cans on drink cards and detail pages
- My Bar: inventory tracker for spirits, liqueurs, mixers, bitters, garnishes, tools
- Bartender: AI-powered cocktail recipe generation, "what can I make" suggestions,
  saved recipes. Cross-references bar inventory for ingredient availability.
- Recommend: AI flavor profile analysis, personalized drink recommendations,
  "find similar" drinks based on highly-rated favorites
- Navigation: desktop sidebar with all 8 routes, mobile bottom nav with
  4 primary items + "More" popup menu
- New Prisma models: BarItem, Recipe, FlavorProfile
- Backup/restore updated to include bar items

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-01 18:28:02 -07:00
JP Scott
d8f069cce4 Fix CSV restore: strip BOM and extract embedded ratings from drink rows
- Strip UTF-8 BOM that Excel/editors add to CSV files
- When drink rows contain score/notes/wouldReorder fields, automatically
  create rating entries (supports manually edited CSVs)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-01 16:45:04 -07:00
JP Scott
8a582bfa7f Security hardening for production readiness
- Add security headers (CSP, HSTS, X-Frame-Options, X-Content-Type-Options, etc.)
- Strengthen password requirements (10+ chars, mixed case, numbers)
- Increase shared list slug entropy from 4 to 16 bytes
- Add rate limiting to login, registration, upload, and restore endpoints
- Add file magic number validation for image uploads (JPEG, PNG, WebP, HEIC)
- Add CSV row limit (50k) to restore endpoint
- Update client-side registration form to match new password policy

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-01 12:55:16 -07:00
JP Scott
969bc9347a Initial commit: DrinkTracker full-stack app
Next.js 14 drink collection tracker with AI-powered search,
menu scanning, ratings, wishlist, sharing, and CSV backup/restore.

Features:
- Auth (credentials + OAuth ready)
- Drink collection with ratings and reviews
- AI search via Claude/OpenAI with search history
- Menu photo scanning with AI extraction
- Wishlist / Try Later system
- Public sharing via slug URLs
- CSV backup and restore (merge/replace modes)
- Docker Compose for Postgres + MinIO + dev server

Security: docker-compose files use env var interpolation
instead of hardcoded secrets.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-01 12:42:11 -07:00