Code import - branch 0.6.0

model_convert.ipynb

@@ -0,0 +1,106 @@
+{
+ "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)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "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": "3.11.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}