{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1293f184",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "import requests\n",
    "import urllib\n",
    "import io\n",
    "import base64\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.image as mpimg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2946897b",
   "metadata": {},
   "outputs": [],
   "source": [
    "for file in os.listdir('temp'):\n",
    "    os.remove(os.path.join('temp',file))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cb57d754",
   "metadata": {},
   "outputs": [],
   "source": [
    "user = \"Georg Brantegger\"\n",
    "with open('app_pw.txt','r') as f:\n",
    "    app_pw = f.readline()\n",
    "\n",
    "\n",
    "base_url_csv = \"https://nextcloud.karnelegger.eu/remote.php/webdav\"\n",
    "folders = [\"Forms\",\"4 - Kontaktdatenerhebung Trainerteam\",\"Ergebnisse CSV\"]\n",
    "folder_string = '/'.join([urllib.parse.quote(folder) for folder in folders])\n",
    "filename_csv = \"Kontaktdatenerhebung Trainerteam (Antworten).csv\"\n",
    "\n",
    "url_csv = '/'.join([base_url_csv,folder_string,urllib.parse.quote(filename_csv)])\n",
    "\n",
    "\n",
    "r = requests.get(url_csv, auth=(user, app_pw))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a74d9129",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(io.StringIO(r.text))\n",
    "\n",
    "df[['Nachname','Vorname']] = df.apply(lambda row: row['Nachname Vorname'].strip().split(' ',maxsplit=1),axis=1,result_type='expand')\n",
    "df = df.copy()\n",
    "df['Nachname'] = df['Nachname'].replace({'Anton': 'Pfurtscheller','David': 'Kobau'})\n",
    "df['Vorname'] = df['Vorname'].replace({'Franz Pfurtscheller': 'Anton Franz', 'Kobau': 'David'})\n",
    "df['Telefonnummer'] = df['Telefonnummer'].str.replace(\"'\",'').str.replace('06','+436',n=1)\n",
    "df['Foto'] = df['Foto'].str.replace(' ','-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc8568d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df2c876c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_photo_for_row(row):\n",
    "\n",
    "    filename = row['Foto']\n",
    "\n",
    "    found_photo = False\n",
    "    i = 0\n",
    "    while found_photo is False:\n",
    "        print(f\"trying folder {i}\")\n",
    "        base_url_photo = \"https://nextcloud.karnelegger.eu/remote.php/webdav\"\n",
    "        folders = [\"Forms\",\"4 - Kontaktdatenerhebung Trainerteam\",f\"{i}\",\"19 - Foto\"]\n",
    "        folder_string = '/'.join([urllib.parse.quote(folder) for folder in folders])\n",
    "        filename_photo = urllib.parse.quote(filename)\n",
    "\n",
    "        url_photo = '/'.join([base_url_photo,folder_string,urllib.parse.quote(filename_photo)])\n",
    "\n",
    "        r = requests.get(url_photo, auth=(user, app_pw))\n",
    "        if r.status_code != 200:\n",
    "            i+=1\n",
    "            if i > 100:\n",
    "                break\n",
    "            continue\n",
    "        else:\n",
    "            photo_bytes = r.content\n",
    "            found_photo = True\n",
    "            photo_b64 = base64.b64encode(photo_bytes).decode(\"utf-8\")\n",
    "            \n",
    "            i = base64.b64decode(photo_b64)\n",
    "            i = io.BytesIO(i)\n",
    "            i = mpimg.imread(i, format='JPG')\n",
    "\n",
    "            plt.imshow(i, interpolation='nearest')\n",
    "            plt.show()\n",
    "\n",
    "            return photo_b64\n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c9db8d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_rows_to_vcf(row):\n",
    "    # Map CSV columns to vCard fields\n",
    "    first_name = row['Vorname']\n",
    "    last_name = row['Nachname']\n",
    "    phone = row['Telefonnummer']\n",
    "    cat = 'RVV Trainer:innen'\n",
    "    org = 'Ruderverein Villach von 1881'\n",
    "    photo_b64 =  get_photo_for_row(row)\n",
    "    \n",
    "\n",
    "    lines = [\n",
    "        \"BEGIN:VCARD\",\n",
    "        \"VERSION:3.0\",\n",
    "        f\"FN:{last_name} {first_name}\",\n",
    "        f\"N:{last_name};{first_name};;;\",\n",
    "        f\"CATEGORIES:{cat}\",\n",
    "        f\"ORG:{org}\",\n",
    "        f\"TEL;TYPE=CELL:{phone}\"]\n",
    "\n",
    "    if photo_b64:\n",
    "        lines.append(f\"PHOTO;ENCODING=b;TYPE=JPEG:{photo_b64}\")\n",
    "\n",
    "    lines.append(\"END:VCARD\")\n",
    "\n",
    "    vcard_content = \"\\n\".join(lines)\n",
    "\n",
    "    # Save to file\n",
    "    filename = f\"{last_name}_{first_name}.vcf\".replace(\" \", \"_\")\n",
    "    with open(os.path.join('temp', filename), 'w') as f:\n",
    "        f.write(vcard_content)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61659f5b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.apply(convert_rows_to_vcf,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "37b2a51b",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_url = \"https://nextcloud.karnelegger.eu/remote.php/dav/addressbooks/users/Georg%20Brantegger/rv-villach-trainer/\"\n",
    "\n",
    "for vcf_file in os.listdir('temp'):\n",
    "\n",
    "    url = base_url + vcf_file\n",
    "\n",
    "    with open(f'temp/{vcf_file}', \"rb\") as f:\n",
    "        r = requests.put(\n",
    "            url,\n",
    "            data=f,\n",
    "            auth=(user, app_pw),\n",
    "            headers={\"Content-Type\": \"text/vcard\"}\n",
    "        )\n",
    "\n",
    "    print(vcf_file, r.status_code)"
   ]
  }
 ],
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