- Add app/services/recipe/time_effort.py: parse_time_effort(), TimeEffortProfile,
StepAnalysis dataclasses; two-branch regex for time ranges and single values;
whole-word passive keyword detection; 480 min/step cap; 1825 day global cap
- Add directions to browse_recipes and _browse_by_match SELECT queries in store.py
- Enrich browse and detail endpoints with active_min/passive_min/time_effort fields
- Add StepAnalysis, TimeEffortProfile TS interfaces to api.ts
- RecipeBrowserPanel: split pill badge showing active/passive time
- RecipeDetailPanel: collapsible ingredients summary, effort cards (Active/Hands-off/Total),
equipment chips, annotated step list with Active/Wait badges and passive hints
- 45 new tests (40 unit + 5 API); 215 total passing
_parse_json_from_text always returns a dict (never None), so the
previous `if parsed is not None` guard was permanently true — garbled
docuvision output would return an empty skeleton instead of falling
through to the local VLM. Replace the check with a meaningful-content
test (items or merchant present). Add two tests: one that asserts the
fallthrough behavior on an empty parse, one that confirms the fast path
is taken when parsing succeeds.
Introduces a thin HTTP client for the cf-docuvision service and wires it
as a fast path in VisionLanguageOCR.extract_receipt_data(). When CF_ORCH_URL
is set, the pipeline attempts docuvision allocation via CFOrchClient before
loading the heavy local VLM; falls back gracefully if unavailable.
