version int64 | created int64 | file string | sha256 string | count int64 | embedding_model null |
|---|---|---|---|---|---|
1 | 1,781,035,603 | barcode-v1.sqlite | 922534be8c34c4e86cc05a11239ca27f612fe94af779d95f2b6d379bf5cc53da | 78,721 | null |
SlowestLooser barcode database
A versioned barcode → nutrition lookup table consumed by the SlowestLooser iOS app. Ships as a single SQLite file per release, with a JSON manifest carrying the integer version + SHA-256.
The app polls manifest.json at launch and on user-tap from Settings → Barcode-Datenbank. When manifest.version is greater than the installed version (App Group UserDefaults), the artifact is downloaded, SHA-256-verified, and atomically swapped into Application Support/BarcodeDB/barcode.sqlite. No app update, no App Store review.
Files
| File | Purpose |
|---|---|
manifest.json |
{ version, created, file, sha256, count, embedding_model } — the version pointer |
barcode-vN.sqlite |
The actual database (schema below) |
Schema
food( id TEXT PRIMARY KEY,
label TEXT NOT NULL, brand TEXT,
kcal REAL, protein REAL, carbs REAL, fat REAL, serving_size REAL );
barcode( code TEXT PRIMARY KEY, food_id TEXT NOT NULL );
CREATE INDEX idx_barcode_food ON barcode(food_id);
food_fts USING fts5( label, brand, content='food', content_rowid='rowid',
tokenize='trigram remove_diacritics 1' );
food— one row per product. Nutrition values are typed REAL (no string parsing at lookup time).barcode— many-to-one: a product can have several regional EANs / UPCs, all pointing at the samefood_id. Codes are canonicalized to EAN-13 at build time (9–13-digit codes left-padded; EAN-8 left as-is).food_fts— trigram FTS5 over(label, brand)with diacritic folding. Enables substring + German-compound recall ("apfel"→"Apfelsaft","schoko"→"Vollmilchschokolade","musli"→"Müsli").
Versioning
The integer in manifest.version is monotonic and bumped on every rebuild. Clients compare it against the locally installed version; the SHA-256 in the manifest is verified against the downloaded SQLite before swap. A mismatched download leaves the existing DB untouched.
License + Attribution
This dataset is a derivative work of Open Food Facts and is released under the Open Database License (ODbL) v1.0 — the same license as the source data.
What ODbL requires of you (the reuser)
- Attribution: Credit Open Food Facts when you reuse this dataset (or works derived from it). Example notice: "Includes product data from Open Food Facts, used under the Open Database License v1.0."
- Share-Alike: If you publish a database derived from this one, that derivative must also be under the ODbL.
- Keep Open: If you distribute the database (or a derivative) with technical protection measures, you must also provide a version without them.
The full license text is at https://opendatacommons.org/licenses/odbl/1-0/.
Source attribution
- Product data: Open Food Facts contributors, https://world.openfoodfacts.org/ (ODbL v1.0)
- Build script + schema: SlowestLooser repository (MIT — see
support/vectordb/build_barcode_db.py)
Build pipeline (for maintainers)
cd support/vectordb
python3 build_barcode_db.py \
--input data/processed/nutrition_merged.jsonl \
--outdir dist \
--version N # monotonic, bump every rebuild
# then publish:
hf upload --repo-type dataset Juhuu/slowestlooser-barcodes \
dist/barcode-vN.sqlite barcode-vN.sqlite
hf upload --repo-type dataset Juhuu/slowestlooser-barcodes \
dist/manifest.json manifest.json
Full handbook: support/vectordb/BARCODE_DB.md. Architectural rationale: ADR 009.
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