{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import firebase_admin as fa\n",
    "from firebase_admin import credentials\n",
    "from firebase_admin import firestore as fs\n",
    "\n",
    "import csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "creds = fa.credentials.Certificate('/Users/max/Desktop/ICL-IoT-Weather/data_collector/secrets/icl-iot-weather-firebase-adminsdk.json')\n",
    "fa.initialize_app(creds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# UNORDERED DATASET!\n",
    "# db = fs.client()\n",
    "# doc_ref = db.collection('weather_data')\n",
    "# doc = doc_ref.get()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# id_ordered_list = []\n",
    "# for x in doc:\n",
    "#     id_ordered_list.append(x.id)\n",
    "# id_ordered_list = id_ordered_list[:1570]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_data = []\n",
    "with open('/Users/max/Desktop/xfile.csv', newline='') as csvfile:\n",
    "    reader= csv.reader(csvfile, delimiter=' ', quotechar='|')\n",
    "    for row in reader:\n",
    "        new_data.append(float(row[0].split(',')[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "target = 'local_soil_temperature'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# testdoc = db.collection('weather_data').document(id_ordered_list[0]).get()\n",
    "# print(testdoc)\n",
    "# print(testdoc.id)\n",
    "# print(id_ordered_list[0])\n",
    "# print(testdoc.id)\n",
    "# print(testdoc.to_dict())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_ref = db.collection(u'weather_data')\n",
    "query = data_ref.order_by(u'timestamp', direction=fs.Query.ASCENDING\n",
    "res = query.get()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "toidl = []\n",
    "for i in res:\n",
    "    toidl.append(i.id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "toidl = toidl[:1570]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# here: please, PLEASE check that the database won't be fucked!!!!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(toidl)):\n",
    "    db.collection('weather_data').document(toidl[i]).update({target: new_data[i]})\n",
    "    # Here goes nothing..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}