The QN-KS sends 18-byte frames on FFF1 with opcode 0x10:
[0x10][0x12=len][...][flags][weight_hi][weight_lo][...][crc]
Weight is u16BE at bytes 9-10 in grams (1g resolution).
Stable flag is bit 3 of byte[8] (0xF8=stable, 0xF0=settling).
Checksum = sum(bytes[0..16]) mod 256.
The generic parser was reading byte[1]=0x12=18 as '18 grams' (the
packet length field), which is why it always showed 18g.
Added parseQNFood() with CRC validation, detected before generic fallback.
Also added AE00/AE02 UUIDs (secondary notifiable service on QN-KS).
- Version label (e.g. v2.0.0 (6)) displayed in the app header
- Copy and Share buttons appear when debug panel is open
- Copy puts full log in clipboard, Share opens Android share sheet
- Generic parser now supports food scale weight ranges (1g-15kg)
with candidates for gram, 0.1g, and 0.5g divisors
- WebSocket sends grams (unit: 'g') for weights under 15kg
- MainActivity displays grams for food-scale readings
- Enhanced debug: raw byte dump on decode failure with index/decimal/hex
- versionCode=5, versionName=1.6.0
- Remove Unicode ─ characters from section comment dividers that caused
Kotlin compiler parse error (line 191:83 Closing bracket expected)
- Use plain ASCII dashes in section comments
- Remove inline field comments from data class
- File was duplicated (672 lines), truncated to correct 316 lines
BREAKING FIX: 'always 1.8 kg' — the old brute-force parseGeneric was
matching noise bytes. Replaced with protocol-specific parsers:
Protocol support (from openScale research):
- Bluetooth SIG 0x2A9D/0x2A9C (standard weight/body composition)
- QN/Yolanda/FITINDEX (opcode 0x10 weight, 0x12 scale info)
- 1byone/Eufy (0xCF header, LE weight at bytes 3-4)
- Hesley/YunChen (20-byte body composition frame)
- Renpho proprietary (0x2E header on 0x2A9D)
- Safe generic fallback (stricter: min 4 bytes, min 2kg, unstable)
Body composition fields: fat%, muscle%, water%, bone, BMR/kcal,
impedance — all displayed when available.
Debug panel fix: capped at 150 lines, UI updates throttled to 200ms
(was: unbounded StringBuilder updated on every BLE notification = freeze).
Auto-reconnect: saves last connected device MAC to SharedPreferences,
auto-starts scan on app launch and connects when saved device found.
GATT service discovery: now explicitly subscribes to QN (FFE0/FFE1)
and custom FFF0 (FFF4 or FFF1) characteristics in addition to
standard Weight Scale and Body Composition services.
ScaleProtocol state: resetState() called on new connection to reset
QN weight divisor (100 or 10, learned from 0x12 info frame).
- Show device names from ScanRecord (fixes MAC-only display)
- Show 'Senza nome' for unnamed devices instead of hiding them
- Show proximity (Vicino/Medio/Lontano) instead of raw dBm
- Sort scan results: scale-likely devices first (keyword + UUID scoring)
- Add debug panel (toggle with 🐛 Debug button):
shows GATT service map, raw hex bytes, parse attempts
- Expand parseGeneric: all 2-byte windows × 3 resolutions × LE+BE
(adds 0.1f and big-endian candidates – common in cheap consumer scales)
- Log GATT services/characteristics after connection
- Log raw hex bytes on every characteristic notification
- showMoveAfterUseModal: add '🫙 Torna sotto vuoto' checkbox (default=previous state)
only shown if item was vacuum sealed; confirmMoveAfterUse passes vacuum_sealed to API
- showRecipeMoveModal: same vacuum checkbox with wasVacuum default passed from ingredient
- confirmRecipeMove: passes vacuum_sealed to inventory_update
- PHP API: add vacuum_sealed to recipe ingredient enrichment
- renderCookingStep: remove step-text word filter; show ALL unused from_pantry
ingredients at every cooking step (AI uses pronouns like 'tagliarla' instead of
repeating the ingredient name, causing them to be invisible)
Many consumer scales like LePulse FI2016LB don't advertise standard
Weight Scale (0x181D) or Body Composition (0x181B) service UUIDs.
Remove the scan filter so all BLE devices are discovered.
The GATT fallback already handles proprietary services.
- Add .github/workflows/build-scale-gateway.yml
Triggers on push to main (evershelf-scale-gateway/** path filter)
Builds debug APK with Gradle/JDK 17, renames to evershelf-scale-gateway.apk
Creates/updates 'latest' GitHub Release so the direct download URL resolves
- Bump web app version v1.2.0 -> v1.3.0 (index.html)
- Bump Android versionCode 1->2, versionName 1.0.0->1.3.0 (app/build.gradle.kts)
- Add evershelf-scale-gateway/ Android app (Kotlin):
- BLE scanning and GATT connection to smart scales
- Supports BT SIG Weight Scale (0x181D), Body Composition (0x181B), and generic heuristic parser
- WebSocket server on port 8765 (local LAN)
- Real-time weight broadcasting to EverShelf browser client
- Add scale status indicator in header (green/orange/grey dot)
- Add Settings tab for scale configuration (URL, enable toggle, test, APK download link)
- Add 'Read from scale' button in Add/Use forms when unit is g or ml
- Add scale WebSocket client logic in app.js with auto-reconnect
- Fix recipe suggestion: expiry-prioritized ingredients now only injected into
AI prompt when user explicitly selects 'Priorità Scadenze' or 'Zero Sprechi'
- Update README with smart scale section and website link
- Update all translations (it, en, de) with scale strings
- Add 9 curated screenshots to assets/img/screenshots/ covering all main features
- Update README with 3x3 screenshot table with Italian descriptions
- Anchor /screenshots/ gitignore rule so assets/img/screenshots/ is tracked
- Screenshots cover: dashboard, inventory, barcode scanner, recipe detail,
recipes list, cooking mode, AI chat, shopping list, smart predictions
Merging all changes from develop into main for v1.2.0 release:
- Project renamed from Dispensa Manager to EverShelf
- Contact email: evershelfproject@gmail.com
- All localStorage keys migrated: dispensa_* -> evershelf_*
- SQLite DB renamed: dispensa.db -> evershelf.db
- Docker/Apache resources renamed to evershelf
- Version badge added to app header
- App name updated in all translations (it, en, de)
- Asset version strings bumped to bust browser cache
- JS file truncation fix (safe Python-based replacements)
- CHANGELOG, manifest.json, OpenAPI spec updated for v1.2.0
- Add v1.2.0 version badge to app header
- Update CHANGELOG with v1.2.0 entries
- Bump manifest.json version to 1.2.0
- Bump OpenAPI spec version to 1.2.0
- Recover app.js from pre-rebrand commit and re-apply all substitutions safely
- Fix all localStorage keys: dispensa_* -> evershelf_* (settings, setup, lang)
- Fix TTS test strings: 'Dispensa Manager' -> 'EverShelf'
- Set nav.title to EverShelf in it/en/de translations and HTML fallback
- Fix JS syntax error (Unexpected end of input) that broke the site
- CI JavaScript Lint should now pass
Add Web Speech API as alternative TTS engine (fully offline, no config needed).
- Engine selector in settings: 'browser' (offline) or 'server' (HTTP endpoint)
- Voice picker populated from speechSynthesis.getVoices(), Italian voices first
- Auto-selects Paola voice on macOS/iOS if available
- Rate and pitch sliders (0.5x-2x, 0-2)
- testTTS() and speakCookingStep() branch on selected engine
- Existing users with tts_url keep 'server' as default engine
Bring! and Gemini keys stored in .env are now fetched from the server
before deciding which wizard steps to show. This prevents the wizard
from prompting for credentials that are already configured server-side.
The wizard now detects which specific settings are missing and shows
only those steps. Existing configurations are preserved. If a future
feature adds a new required setting, it will automatically prompt for
just that one.
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