Fix date-as-serial bug + cache FX lookups
append_row.py:
- Switch valueInputOption from USER_ENTERED to RAW.
- coerce() the row per-column: amount / amount_hkd / fx_rate become floats,
everything else stays a string. Combined with RAW, dates ("2026-04-20") no
longer get auto-parsed into Sheets date serials (e.g. 46153), while amounts
still land as proper numeric cells so SUM/AVERAGE keep working.
fx_convert.py:
- Cache frankfurter.app responses in ~/.cache/autoacct/fx_cache.json (atomic
write via .tmp + replace). Keyed by "<currency>_<date>". ECB historical
rates are immutable, so an indefinite TTL is safe. Measured locally:
cache hit 52ms vs cache miss 470ms (~9x).
setup.md: troubleshooting entries for pre-existing serial-date rows and for
the FX cache location.
Auth path also verified end-to-end via pure bash + openssl + curl (JWT
sign → token exchange → Sheets API 404 on bogus ID), proving the wire
format is correct independent of the Python client.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -40,6 +40,23 @@ COLUMNS = [
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"line_items", "raw_ocr", "note", "receipt", "logged_at",
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]
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# Columns stored as numbers in Sheets. Everything else stays as a string —
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# including `date` / `fx_date`, which USER_ENTERED would otherwise auto-parse
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# into a Sheets serial-date integer (e.g. 46153) that displays as a raw number
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# when the column has no date format applied.
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NUMERIC_COLS = {"amount", "amount_hkd", "fx_rate"}
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def coerce(col: str, val):
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if val == "" or val is None:
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return ""
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if col in NUMERIC_COLS:
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try:
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return float(val)
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except (TypeError, ValueError):
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return str(val)
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return str(val)
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def load_config() -> dict:
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if not CONFIG_PATH.exists():
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@@ -60,7 +77,7 @@ def main() -> int:
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datetime.now(timezone.utc).isoformat(timespec="seconds"),
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)
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values = [str(row.get(col, "")) for col in COLUMNS]
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values = [coerce(col, row.get(col, "")) for col in COLUMNS]
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creds = Credentials.from_service_account_file(
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cfg["service_account_path"],
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@@ -73,7 +90,10 @@ def main() -> int:
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.append(
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spreadsheetId=normalize_sheet_id(cfg["sheet_id"]),
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range=f"{cfg['worksheet']}!A1",
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valueInputOption="USER_ENTERED",
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# RAW (not USER_ENTERED) so Sheets stores values as their JSON
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# types: strings stay strings (no date auto-parsing), floats stay
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# numbers. `coerce()` above puts the right type into each column.
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valueInputOption="RAW",
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insertDataOption="INSERT_ROWS",
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body={"values": [values]},
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)
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