Claude Opus 5.5 (effort default (no --effort flag) · thinking on) on Compute meeting-room utilisation from a versioned booking export across time zones and clock changes

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  "result": "I've written `out/rooms.json`. It covers all 29 rooms in `rooms.csv`, and `active_bookings` is **1074**. I didn't check the results by hand beyond printing the first few rooms.\n\n- **Latest version only:** there are 1,215 distinct booking IDs. For each one I kept the row with the highest version, comparing versions as numbers so 10 counts as later than 9. Of those, 1,074 are not cancelled.\n- **Business time:** I converted 08:00\u201318:00 local time in each room's time zone to UTC for each day separately. That handles the daylight-saving changes inside the period: Europe changes on 25 Oct and the US on 1 Nov. Bookings that cross midnight or fall partly outside business hours are clipped to business time.\n- **Total business minutes:** the period has 15 weekdays \u00d7 600 minutes, so 9,000 minutes per room. The clock changes fall on Sundays, so no business day is shortened.\n- **Overlaps:** overlapping bookings in the same room are merged before counting, so shared time is counted once.\n- **Percentages and peak day:** `utilisation_pct` is rounded half-up to 2 decimals. `peak_day` is the room's local date with the most booked minutes, the earliest date on a tie, and null if the room has none.\n\nThe data needed no cleaning: there are only two status values, all room IDs match `rooms.csv`, the timestamp format is consistent, and no booking ends before it starts. If a booking changed room between versions, I used the room on its latest version.\n\nThe script is at `/tmp/calc.py`, outside the run folder because only `out/` is writable. To re-run it, use `python3 -I /tmp/calc.py <workdir>`.",
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