{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from awkward import Record as AwkwardRecord, Array as AwkwardArray\n",
    "import awkward as ak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "FILENAME = \"export-2024-11-12-16-59-20.parquet\"\n",
    "data = ak.from_parquet(FILENAME)[0]\n",
    "display(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import Literal\n",
    "import plotly.graph_objects as go\n",
    "import plotly.express as px\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "def to_scatter(key: str, dev_history: AwkwardArray, plot_key: Literal[\"value\", \"rssi\"] = \"value\") -> go.Scatter:\n",
    "    x = ak.to_numpy(dev_history[\"time\"])\n",
    "    if plot_key == \"rssi\":\n",
    "        y = ak.to_numpy(dev_history[\"rssi\"])\n",
    "    elif plot_key == \"value\":\n",
    "        y = ak.to_numpy(dev_history[\"value\"])\n",
    "    else:\n",
    "        raise ValueError(f\"Unknown plot_key: {plot_key}\")\n",
    "    return go.Scatter(x=x, y=y, mode=\"lines+markers\", name=key)\n",
    "\n",
    "scatters: list[go.Scatter] = []\n",
    "for k in data.fields:\n",
    "    val = data[k]\n",
    "    scatters.append(to_scatter(k, val, \"value\"))\n",
    "\n",
    "fig = go.Figure(scatters)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "display(fig)"
   ]
  }
 ],
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