#!/usr/bin/env bash # Monthly TVA basis aggregation for Arcodange — ready to transcribe onto # CA3 (régime réel normal) or CA12 (réel simplifié) declarations. # # Usage: # tva-by-month.sh [--year YYYY] [--since YYYY-MM-DD] [--until YYYY-MM-DD] # # Groups every visible invoice line by (year-month, tva_tx). Sums HT and TVA. # Surfaces credit notes correctly (negative HT cancels out at the basis level). # # Mapping to French TVA forms (régime réel normal CA3): # - tva_tx == 0 AND client country != FR # → ligne A4 "Autres opérations imposables" if reverse-charge intra-UE # → ligne E2 "Exportations hors UE" if extra-UE # (the line script tva-line-detail.sh distinguishes these) # - tva_tx == 20 → A1 base + 8 TVA collectée # - tva_tx == 10 → A1 (taux réduit) base + 9 TVA collectée # - tva_tx == 5.5 → A1 base + 9B TVA collectée # - tva_tx == 2.1 → A1 base + 9C TVA collectée # # Today Arcodange is monorange autoliquidation 259-1° on KM (extra-UE), so # everything lands on E2. As soon as a French B2B client is invoiced, the # 20 % bucket will populate. set -euo pipefail SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" DOL_CURL="${SCRIPT_DIR}/../../dolibarr/scripts/dol-curl.sh" SINCE="" UNTIL="" YEAR="" while [[ $# -gt 0 ]]; do case "$1" in --since) SINCE="$2"; shift 2 ;; --until) UNTIL="$2"; shift 2 ;; --year) YEAR="$2"; SINCE="$2-01-01"; UNTIL="$2-12-31"; shift 2 ;; -h|--help) sed -n '2,30p' "$0" | sed 's/^# \{0,1\}//'; exit 0 ;; *) echo "tva-by-month.sh: unknown arg: $1" >&2; exit 2 ;; esac done WORK="$(mktemp -d -t tvamonth.XXXXXX)" trap 'rm -rf "${WORK}"' EXIT "${DOL_CURL}" '/invoices?limit=500&sortfield=t.datef&sortorder=ASC' > "${WORK}/inv.json" # Per-invoice detail fetch (the list endpoint doesn't include line-level tva_tx) IDS=$(python3 -c "import json,sys; print(' '.join(str(r['id']) for r in json.load(open(sys.argv[1]))))" "${WORK}/inv.json") mkdir -p "${WORK}/detail" for id in ${IDS}; do "${DOL_CURL}" "/invoices/${id}" > "${WORK}/detail/${id}.json" done python3 - "${WORK}" "${SINCE}" "${UNTIL}" "${YEAR}" <<'PY' import json, sys, os, collections, datetime work, since, until, year_arg = sys.argv[1:5] def in_window(ts): if not ts: return False d = datetime.date.fromtimestamp(int(ts)) if since and d < datetime.date.fromisoformat(since): return False if until and d > datetime.date.fromisoformat(until): return False return True # key: (yyyy-mm, tva_tx) -> {ht, tva, count} agg = collections.defaultdict(lambda: {"ht":0.0,"tva":0.0,"count":0}) for fn in sorted(os.listdir(os.path.join(work,"detail"))): try: inv = json.load(open(os.path.join(work,"detail",fn))) except json.JSONDecodeError: continue ts = int(inv.get("date") or 0) if not in_window(ts): continue ym = datetime.date.fromtimestamp(ts).strftime("%Y-%m") for line in inv.get("lines") or []: tx = float(line.get("tva_tx") or 0) # Normalize tva_tx — Dolibarr returns "0.0000" / "20.0000" strings as numbers tx = round(tx, 4) ht = float(line.get("total_ht") or 0) tva = float(line.get("total_tva") or 0) agg[(ym, tx)]["ht"] += ht agg[(ym, tx)]["tva"] += tva agg[(ym, tx)]["count"] += 1 scope = f"window={since or '-inf'} → {until or '+inf'}" if year_arg: scope = f"year {year_arg}" print(f"# TVA basis by month × rate — {scope}") print() print(f"{'month':<8} {'tva_tx':>7} {'count':>5} {'basis HT':>12} {'TVA':>10} CA3 line") print("-" * 70) total_ht = total_tva = 0.0 for key in sorted(agg): ym, tx = key s = agg[key] line = "(see tva-line-detail for cnty)" if tx == 0 else ("A1+8" if tx==20 else f"A1+? @ {tx}%") print(f"{ym:<8} {tx:>7.4f} {s['count']:>5} {s['ht']:>12.2f} {s['tva']:>10.2f} {line}") total_ht += s["ht"] total_tva += s["tva"] print("-" * 70) print(f"{'TOTAL':>16} {' ':>13} {total_ht:>12.2f} {total_tva:>10.2f}") print() print("# Notes:") print("# - Lines with tva_tx==0 require country lookup to choose CA3 E2 (export hors UE)") print("# vs A4 (autoliquidation intra-UE). Run tva-line-detail.sh for that breakdown.") print("# - Credit notes (AVOIRs) show as negative HT and are correctly netted at basis.") PY