# Copy this file to .env and fill in your own values.
# Nothing here is a real credential.

USE_OLLAMA=true
OLLAMA_BASE_URL=http://localhost:11434
OLLAMA_MODEL_NAME=qwen2.5:1.5b

USE_EMBEDDINGS=true
EMBEDDINGS_MODEL=sentence-transformers/all-MiniLM-L6-v2

USE_PGVECTOR=true
DB_HOST=localhost
DB_PORT=5432
DB_NAME=pgvector
DB_USER=postgres
DB_PASSWORD=changeme

USE_S3=true
S3_ACCESS_KEY=your-do-spaces-key
S3_SECRET_KEY=your-do-spaces-secret
S3_ENDPOINT=https://your-space.region.digitaloceanspaces.com
S3_BUCKET=your-bucket
S3_REGION=region

# Optional - leave USE_GOOGLE_CSE=false if you don't have a Google CSE key
USE_GOOGLE_CSE=false
GOOGLE_API_KEY=
GOOGLE_CSE_ID=

USE_DDG_IMAGES=true
USE_OPEN_FACTS=true
USE_WIKIMEDIA=true
USE_PLAYWRIGHT_FALLBACK=true

MIN_IMAGE_BYTES=3000

# Product SKU: try a live web search for a real marketplace product ID
# (Amazon ASIN, Flipkart PID, etc.) before falling back to an internal SKU.
# Set to false to always generate internal SKUs only (faster, offline-safe).
ENABLE_SKU_WEB_LOOKUP=true

# Deterministic product validation (see app/services/product_validator.py).
# Final gate applied to every catalog row before it's kept; rows scoring
# below VALIDATION_REJECT_THRESHOLD are dropped (with reasons recorded),
# rows below VALIDATION_REVIEW_THRESHOLD are kept but flagged for human review.
ENABLE_PRODUCT_VALIDATION=true
VALIDATION_REJECT_THRESHOLD=0.35
VALIDATION_REVIEW_THRESHOLD=0.70

# Per-pack-size product images (see docs/PER_VARIANT_IMAGES.md). When true,
# each size variant of a product (e.g. 100g/200g/500g) gets its own
# size-targeted image search/upload instead of sharing one generic image
# set. Falls back to the old shared behaviour automatically whenever no
# size-specific match is found, so this is safe to leave on. Set to
# "false" to fully restore the old shared-image behaviour.
ENABLE_PER_VARIANT_IMAGES=true
# Max image candidates fetched per size variant (kept smaller than the
# ~24 used for the general product-level search, since a per-size search
# only needs a handful of genuinely matching candidates).
PER_VARIANT_IMAGE_MAX_RESULTS=10

# Barcode Retrieval & Product Enrichment (see
# app/services/enrichment/barcode/ and docs/BARCODE_ENRICHMENT.md). Set to
# false to disable barcode lookup entirely (rows are stored with
# barcode=NULL, barcode_lookup_status="disabled").
ENABLE_BARCODE_LOOKUP=true
BARCODE_LOOKUP_TIMEOUT_SECONDS=10
# 30 days, in seconds
BARCODE_LOOKUP_CACHE_TTL_SECONDS=2592000
BARCODE_LOOKUP_MAX_CONCURRENCY=5
BARCODE_COUNTRY_TAG=india

# GS1 India tier - leave both blank to skip (no free public API exists at
# time of writing; the cascade falls through to Open Food Facts). Fill in
# if/when real GS1 India ("Verified by GS1") API access is provisioned.
GS1_INDIA_API_BASE_URL=
GS1_INDIA_API_KEY=

# UPCItemDB - works out of the box on the free trial tier (no key needed,
# rate limited ~100 req/day). Set to switch to the paid production endpoint.
UPC_DATABASE_API_KEY=

# Lowest-trust fallback tier: DuckDuckGo search + manufacturer page text
# scan for a labelled barcode (uses the same `ddgs` dependency as SKU
# lookup). Set to false to skip this tier.
ENABLE_MANUFACTURER_SITE_LOOKUP=true