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 "cells": [
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e838ff21",
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "def csv_to_tag_lists(csv_path: str) -> dict:\n",
    "    read_tags = []\n",
    "    write_tags = []\n",
    "\n",
    "    def to_float(val):\n",
    "        try:\n",
    "            return float(str(val).strip())\n",
    "        except Exception:\n",
    "            return None\n",
    "\n",
    "    with open(csv_path, newline=\"\", encoding=\"utf-8\") as f:\n",
    "        reader = csv.DictReader(f)\n",
    "        for row in reader:\n",
    "            # Basic normalization\n",
    "            op = (row.get(\"operation\") or \"\").strip()\n",
    "\n",
    "            if op == \"READ\":\n",
    "                # Build common tag payload with required mappings\n",
    "                tag = {\n",
    "                    \"server_id\": \"1\",\n",
    "                    \"tag_address\": row.get(\"opc_tag\"),\n",
    "                    \"tag_name\": row.get(\"name\"),\n",
    "                    \"data_range\": [to_float(row.get(\"min_value\")), to_float(row.get(\"max_value\"))],\n",
    "                    \"aggr_func\": row.get(\"aggregation_func\").lower(),\n",
    "                    # keep other fields with their original names\n",
    "                    \"frequency\": row.get(\"frequency\"),\n",
    "                    \"local\": row.get(\"local\"),\n",
    "                    \"area\": row.get(\"area\"),\n",
    "                    \"description\": row.get(\"description\"),\n",
    "                }\n",
    "\n",
    "                read_tags.append(tag)\n",
    "\n",
    "            else:\n",
    "                tag = {\n",
    "                    \"server_id\": \"1\",\n",
    "                    \"addr\": row.get(\"opc_tag\"),\n",
    "                    \"tag_name\": row.get(\"name\"),\n",
    "                    \"local\": row.get(\"local\"),\n",
    "                    \"area\": row.get(\"area\"),\n",
    "                    \"description\": row.get(\"description\"),\n",
    "                }\n",
    "                \n",
    "            if op == \"WRITE_PREDICTION\":\n",
    "                tag[\"type\"] = \"prediction\"\n",
    "                write_tags.append(tag)\n",
    "            elif op == \"WRITE_CONFIDENCE\":\n",
    "                tag[\"type\"] = \"confidence\"\n",
    "                write_tags.append(tag)\n",
    "            # ignore any other operation values silently\n",
    "\n",
    "    return {\"read_tags\": read_tags, \"write_tags\": write_tags}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4621cd43",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "file_names = [\"Courier - Página1.csv\"]\n",
    "\n",
    "for file_name in file_names:\n",
    "    write_file = file_name.replace(\".csv\", \".json\")\n",
    "\n",
    "    with open(write_file, \"w\", encoding=\"utf-8\") as f:\n",
    "        json.dump(csv_to_tag_lists(file_name), f, indent=2, ensure_ascii=False)"
   ]
  }
 ],
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