lars
07f8415eb1
Route building / optimization (tatami_masterplan.py): - fast_total_time was permutation-invariant: it applied get_courses to group *values* instead of slots and ignored the permutation, so every ordering scored identically and the annealing optimized nothing. It now maps each rotation slot to its assigned group via the permutation. - Replaced the broken next_permutation/simulated_annealing (enumerated n! orderings per iteration, fed unnormalized Boltzmann weights to np.random.choice -> ValueError, and returned the last random sample) with a standard neighbor-swap annealer that tracks and returns the best solution and handles <2 slots. - Convert the reduced Timedelta matrix to float seconds before annealing (np.exp can't operate on Timedelta). Group building (tatami_masterplan.py): - assign_courses set each group's hosts (sorted by course) before all courses were assigned, so hosts whose course was still None got mis-ordered. Assign all courses first, then wire up hosts. - get_masterplan no longer mutates the caller's participant list. classes.py: - Narrow casts on distance-matrix lookups to satisfy the mypy gate (pre-existing failures). Tests: - Add pytest suite (74 tests) covering the rotation topology, route cost and optimization, the domain model, the masterplan pipeline, and the Routes API wrapper (HTTP mocked). The cost cross-check caught the assign_courses ordering bug above. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Tatami
Tool for Arranging Tasty Appointments, Meetings & Invitations