Update

data_processing/(do_not_run)Data_integrator.ipynb

@@ -0,0 +1,166 @@
+{
+ "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
+}