{
 "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",
    "base_url = \"https://nextcloud.karnelegger.eu/remote.php/webdav\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "234e6a70",
   "metadata": {},
   "outputs": [],
   "source": [
    "folders = [\"Forms\",\"6 - Kontaktdatenerhebung RV Villach\",\"Ergebnisse CSV\"]\n",
    "folder_string = '/'.join([urllib.parse.quote(folder) for folder in folders])\n",
    "filename_csv = \"Kontaktdatenerhebung RV Villach (Antworten).csv\"\n",
    "\n",
    "url_csv = '/'.join([base_url,folder_string,urllib.parse.quote(filename_csv)])\n",
    "\n",
    "\n",
    "r = requests.get(url_csv, auth=(user, app_pw))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a74d9129",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(io.StringIO(r.text),usecols=[3,4,5,6,7,8],header=0,names=['Vorname','Nachname','rower','Jahrgang','Foto','Telefonnummer'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "28dbb7e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc8568d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_tel(row,col):\n",
    "    # remove the first ' and all whitespaces within number\n",
    "\n",
    "    tel = str(row[col])\n",
    "\n",
    "    replace_dict = {\"'\":'',' ':''}\n",
    "    \n",
    "    for key, value in replace_dict.items():\n",
    "        tel = tel.replace(key,value)\n",
    "\n",
    "    # handle people who don't know how country codes work\n",
    "    if tel[0] == '0':\n",
    "        tel = '+43'+tel[1:]\n",
    "    if tel[0] == '6':\n",
    "        tel = '+43'+tel\n",
    "    if tel[0:4] == '+430':\n",
    "        tel = '+43'+tel[4:]\n",
    "    if tel[0:3] == '+49':\n",
    "        tel = '+43'+tel[3:]\n",
    "    if tel[0:2] == '43':\n",
    "        tel = '+43'+tel[2:]\n",
    "    if tel[0:2] == '+6':\n",
    "        tel = '+43'+tel[1:]\n",
    "        \n",
    "    return tel\n",
    "\n",
    "def evaluate_rower(row,col='rower'):\n",
    "    if row[col] == 'Ruder:in':\n",
    "        return True\n",
    "    else:\n",
    "        return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "68eaead1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e868df47",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Vorname'] = df['Vorname'].str.strip()\n",
    "df['Nachname'] = df['Nachname'].str.strip()\n",
    "df['rower'] = df.apply(evaluate_rower,axis=1,args=('rower',))\n",
    "df['Telefonnummer'] = df.apply(extract_tel,axis=1,args=('Telefonnummer',))\n",
    "df['Foto'] = df['Foto'].str.replace(' ','-').fillna('-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "614ac3b3",
   "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",
    "    if filename != '-':\n",
    "\n",
    "        found_photo = False\n",
    "        i = 30\n",
    "        while found_photo is False:\n",
    "            print(f\"trying folder {i}\")\n",
    "            folders = [\"Forms\",\"6 - Kontaktdatenerhebung RV Villach\",f\"{i}\",\"23 - photo_name\"]\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,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 > 200:\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",
    "    year = row['Jahrgang']\n",
    "    rower = row['rower']\n",
    "    cat = 'RVV Athlet:innen' if rower is True else 'RVV Eltern'\n",
    "    address_book = 'rv-villach-athletinnen' if rower is True else 'rv-villach-eltern'\n",
    "    photo_b64 =  get_photo_for_row(row)\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\"TEL;TYPE=CELL:{phone}\"]\n",
    "    \n",
    "    if rower is True:\n",
    "        lines.append(f'NOTE:JG {int(year)}')\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",
    "\n",
    "    # upload file to correct address book\n",
    "\n",
    "    base_url_contacts = \"https://nextcloud.karnelegger.eu/remote.php/dav/addressbooks/users/Georg%20Brantegger/\"\n",
    "    url = base_url_contacts + address_book + '/' + filename\n",
    "\n",
    "    with open(f'temp/{filename}', \"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(filename, r.status_code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61659f5b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.apply(convert_rows_to_vcf,axis=1)"
   ]
  }
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