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33a5cdec37
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feat: cloud auth bypass, VRAM leasing, barcode EXIF fix, pipeline improvements
- cloud_session.py: CLOUD_AUTH_BYPASS_IPS with CIDR support; X-Real-IP for
Docker bridge NAT-aware client IP resolution; local-dev DB path under
CLOUD_DATA_ROOT for bypass sessions
- compose.cloud.yml: thread CLOUD_AUTH_BYPASS_IPS from shell env; document
Docker bridge CIDR requirement in .env.example
- nginx.cloud.conf + nginx.conf: client_max_body_size 20m for barcode uploads
- barcode_scanner.py: EXIF orientation correction (PIL ImageOps.exif_transpose)
before cv2 decode; rotation coverage extended to [90, 180, 270, 45, 135]
to catch sideways barcodes the 270° case was missing
- llm_recipe.py: CF-core VRAM lease acquire/release wrapping LLMRouter calls
- tasks/runner.py + config.py: COORDINATOR_URL + recipe_llm VRAM budget (4GB)
- recipes.py: per-request Store creation inside asyncio.to_thread worker to
avoid SQLite check_same_thread violations
- download_datasets.py: HF_PARQUET_FILES strategy for repos without dataset
builders (lishuyang/recipepairs direct parquet download)
- derive_substitutions.py: use recipepairs_recipes.parquet for ingredient
lookup; numpy array detection; JSON category parsing
- test_build_flavorgraph_index.py: rewritten for CSV-based index format
- pyproject.toml: add Pillow>=10.0 for EXIF rotation support
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2026-04-01 16:06:23 -07:00 |
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9371df1c95
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feat: recipe engine Phase 3 — StyleAdapter, LLM levels 3-4, user settings
Task 13: StyleAdapter with 5 cuisine templates (Italian, Latin, East Asian,
Eastern European, Mediterranean). Each template includes weighted method_bias
(sums to 1.0), element-filtered aromatics/depth/structure helpers, and
seasoning/finishing-fat vectors. StyleTemplate is a fully immutable frozen
dataclass with tuple fields.
Task 14: LLMRecipeGenerator for Levels 3 and 4. Level 3 builds a structured
element-scaffold prompt; Level 4 generates a minimal wildcard prompt (<1500
chars). Allergy hard-exclusion wired through RecipeRequest.allergies into
both prompt builders and the generate() call path. Parsed LLM response
(title, ingredients, directions, notes) fully propagated to RecipeSuggestion.
Task 15: User settings key-value store. Migration 012 adds user_settings
table. Store.get_setting / set_setting with upsert. GET/PUT /settings/{key}
endpoints with Pydantic SettingBody, key allowlist, get_session dependency.
RecipeEngine reads cooking_equipment from settings when hard_day_mode=True.
55 tests passing.
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2026-03-31 14:15:18 -07:00 |
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