Datasets:
| import csv, json | |
| by = {} | |
| for r in csv.DictReader(open("readings.csv")): by.setdefault(r["meter"], []).append((r["read_at"], int(r["register_kwh"]))) | |
| out = {} | |
| for m, rs in by.items(): | |
| rs.sort(); use = {} | |
| for (t0, a), (t1, b) in zip(rs, rs[1:]): use[t1[:10]] = (b - a) % 100000 | |
| out[m] = {"total_kwh": sum(use.values()), "peak_day": max(use, key=use.get)} | |
| json.dump(out, open("usage.json", "w")) | |