{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2a759a8e",
   "metadata": {},
   "source": [
    "# Datensatz herunterladen\n",
    "\n",
    "`SETUP_ID` anpassen, Rest läuft automatisch.\n",
    "\n",
    "Einige Datensätze besitzen keinen Eintrag für `flt_obd_speed`. Für eine Liste der Datensätze *mit* diesem Wert kann beispielsweise folgende SQL-Abfrage verwendet werden (Achtung, braucht (prinzipbedingt) sehr lange!):\n",
    "\n",
    "```sql\n",
    "select setup_id s, count(*) n\n",
    "from computeddata\n",
    "group by s\n",
    "having not exists (\n",
    "    select *\n",
    "    from computeddata\n",
    "    where setup_id = s\n",
    "    and flt_obd_speed is null)\n",
    "order by n asc\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bd18001b",
   "metadata": {},
   "outputs": [],
   "source": [
    "SETUP_ID = 868\n",
    "import csv\n",
    "from runsql import runsql\n",
    "\n",
    "reader = runsql('select distinct setup_id from computeddata')\n",
    "reader_data = list(reader) # list(...) so that following cells can be repeated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "dfcd912a",
   "metadata": {},
   "outputs": [],
   "source": [
    "ids = []\n",
    "for i in reader_data:\n",
    "    ids.append(int(i['setup_id']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1f8c5b69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1122"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ids)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "607eee22",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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