{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "147fd50f",
   "metadata": {},
   "source": [
    "# Save tables as JSON and CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "831f0525",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T08:16:27.943392Z",
     "iopub.status.busy": "2026-11-01T08:16:27.943313Z",
     "iopub.status.idle": "2026-11-01T08:16:38.336602Z",
     "shell.execute_reply": "2026-11-01T08:16:38.336220Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loaded DBNet detector (CPU, threads=8)\n",
      "Loaded SVTR recognizer (vocab=185 chars, CPU, threads=8)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[occular] LM (pure Python): compact_lm.npz (268 MB), unigrams=2010937, alpha=0.5 beta=1.0 beam=100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved invoice.json with 2 table(s)\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "from pathlib import Path\n",
    "from occular import ocr_detailed\n",
    "\n",
    "lines = ocr_detailed(\"invoice.png\", tables=True)\n",
    "data = {\"results\": list(lines), \"tables\": lines.tables}\n",
    "Path(\"invoice.json\").write_text(\n",
    "    json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\"\n",
    ")\n",
    "print(\"Saved invoice.json with\", len(lines.tables), \"table(s)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8428e185",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T08:16:38.337616Z",
     "iopub.status.busy": "2026-11-01T08:16:38.337479Z",
     "iopub.status.idle": "2026-11-01T08:16:38.340763Z",
     "shell.execute_reply": "2026-11-01T08:16:38.340439Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CSV — header and first data row\n",
      "N,\"Товары (работы, услуги)\",Кол- во,Ед.,Цена,Сумма\n",
      "в,Транспортно-экспедиционные услуги по маршруту Нижний Новгород — Казань,4,рейс,\"18 500,00\",\"74 000,00\"\n"
     ]
    }
   ],
   "source": [
    "import csv\n",
    "\n",
    "table = lines.tables[-1]\n",
    "rows = [[\"\"] * table[\"n_cols\"] for _ in range(table[\"n_rows\"])]\n",
    "for cell in table[\"cells\"]:\n",
    "    rows[cell[\"r\"]][cell[\"c\"]] = cell[\"text\"]\n",
    "with open(\"table.csv\", \"w\", newline=\"\", encoding=\"utf-8-sig\") as file:\n",
    "    csv.writer(file).writerows(rows)\n",
    "print(\"CSV — header and first data row\")\n",
    "saved_csv = Path(\"table.csv\").read_text(encoding=\"utf-8-sig\")\n",
    "print(\"\\n\".join(saved_csv.splitlines()[:2]))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}