a6508845a7
Real vehicle-routing optimization behind the Suggérer UI, reusing our
existing OR-Tools solver service (no new stack). Fixes the greedy's
structural limits (sector-splitting, no global optimization).
- roster-solver: new route_solver.py (OR-Tools Routing / VRPTW).
Minimizes real travel; skills = hard filter (VehicleVar ∈ allowed∪{-1};
SetAllowedVehiclesForIndex has a broken Span typemap in ortools 9.15);
on-site service time within each tech's shift window; optional per-job
time windows; unfittable jobs left unassigned (drop penalty) instead of
infeasible; specialist bias via skill order (per-vehicle arc cost).
New POST /route endpoint. Dockerfile now COPYs route_solver.py.
Unit-tested: skills respected, sectors consolidated, edge cases safe.
- hub: POST /roster/optimize-routes → proxies to solver /route.
- ops SPA: "⚡ Optimiser" strategy. Greedy buckets jobs into days +
placeholders, then the solver re-optimizes each day (assignment +
routes) among shifted techs; result maps into the same review dialog
(occupation bars, route map, swap/merge reused). Graceful fallback to
greedy if the solver is unreachable (never drops jobs). shiftWindowMin
derives each vehicle's shift from templates.
Phase 2 (later): OSRM/Mapbox road-time matrix for exact travel times.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
12 lines
299 B
Docker
12 lines
299 B
Docker
FROM python:3.12-slim
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY solver.py app.py route_solver.py ./
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EXPOSE 8090
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# 1 worker : CP-SAT est déjà multi-thread (num_search_workers=8)
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8090"]
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