feat(backend): labor pricing from historical jobs (TF-IDF RAG)#190
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anumukul wants to merge 2 commits intoNOVUS-X:mainfrom
Open
feat(backend): labor pricing from historical jobs (TF-IDF RAG)#190anumukul wants to merge 2 commits intoNOVUS-X:mainfrom
anumukul wants to merge 2 commits intoNOVUS-X:mainfrom
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- Add POST /pricing/labor/suggest for clients/artisans: TF-IDF similarity over completed jobs, top-5 average labor reference, urgency and rating multipliers. - Add POST /pricing/labor/reindex (admin) to hydrate in-memory job rows from completed bookings (anonymized: service text, zip, costs only). - Prefer labor_cost when set, else estimated_cost; add nullable labor_cost and material_cost on Booking. - Dependencies: scikit-learn, numpy. - Tests for engine and API; fix stats import, PublicRoleEnum, artisan json. Made-with: Cursor
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Summary
Adds a labor pricing suggestion flow that uses completed bookings as historical context: TF‑IDF + cosine similarity over job descriptions (RAG-style retrieval), averages the top matches’ labor reference amounts, then applies urgency and optional artisan rating multipliers.
API
POST /api/v1/pricing/labor/suggest(client or artisan):sow_text,zip_code, optionalurgency(low/normal/high), optionalartisan_average_rating(1–5). Returns baseline average, suggested price,region_scope(localvsexpandedif no ZIP matches), and anonymized match metadata.POST /api/v1/pricing/labor/reindex(admin): rebuilds the in-memory index from completed jobs (service text, parsed ZIP, costs only—no client PII in vectors).Data model
labor_costandmaterial_costonbookings; pricing preferslabor_costwhen set, otherwiseestimated_cost.Dependencies
scikit-learn,numpyOther fixes (on
mainbaseline)statsrouter import inapi.py.PublicRoleEnumusesStrEnum(fixes missingEnumimport).json.loadsinstead of undefined_json.Tests
app/tests/test_labor_pricing.pycovering engine behavior and auth/admin endpoints.closes #157