Claude Haiku 5.5 (effort default (no --effort flag) · thinking on) on Monthly regional report from messy orders CSV + shipments JSONL + weekday-only FX table

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  "result": "I wrote `report.py` and ran it. It produced `report.json` covering 709 kept orders across East, North, South and West for 2026-01 to 2026-04.\n\nParsing and rules checked against the raw data:\n- **Duplicates:** 847 CSV rows, 47 of them exact duplicates, leaving 800 unique rows. No order ID appears with conflicting content, so the first-occurrence rule is unambiguous here.\n- **Cancelled:** dropped in any case; the status check ignores surrounding whitespace.\n- **Amounts:** `\"621,01\"` parses to 621.01 (EUR decimal comma), `1,234.50` to 1234.5 (USD thousands separator), and GBP is plain. Values with both separators take the last one as the decimal point.\n- **Dates:** ISO, `DD/MM/YYYY` and `Mon DD YYYY` all parse; month names are matched from a fixed table rather than the locale.\n- **FX:** a rate lookup falls back to the most recent earlier date. The run hit no missing-rate errors.\n- **Shipments:** `+hh:mm` and `Z` timestamps are converted to UTC before taking the date. Only the earliest shipment per order counts for `late`. Blank lines and shipments for unknown orders are ignored.\n\nChoices I made that you may want to change:\n- A lookup with no earlier rate raises an error rather than guessing. This can't happen on the current data, but a fresh dataset could trigger it.\n- Unrecognised region values also raise an error, so a bad row fails loudly instead of being silently miscounted.\n\nI ran it as `python3 -I report.py`, per the untrusted-input guidance. The `-I` flag means the script didn't import anything from the working directory, so the run isn't exposed to planted modules.",
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