imporved contacs uploads
This commit is contained in:
289
Nextcloud Contact Infos/convert_athletes.ipynb
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289
Nextcloud Contact Infos/convert_athletes.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1293f184",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import os\n",
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"import requests\n",
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"import urllib\n",
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"import io\n",
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"import base64\n",
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"\n",
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"from matplotlib import pyplot as plt\n",
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"import matplotlib.image as mpimg"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2946897b",
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"metadata": {},
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"outputs": [],
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"source": [
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"for file in os.listdir('temp'):\n",
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" os.remove(os.path.join('temp',file))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "cb57d754",
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"metadata": {},
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"outputs": [],
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"source": [
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"user = \"Georg Brantegger\"\n",
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"with open('app_pw.txt','r') as f:\n",
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" app_pw = f.readline()\n",
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"\n",
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"base_url = \"https://nextcloud.karnelegger.eu/remote.php/webdav\"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "234e6a70",
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"metadata": {},
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"outputs": [],
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"source": [
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"folders = [\"Forms\",\"6 - Kontaktdatenerhebung RV Villach\",\"Ergebnisse CSV\"]\n",
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"folder_string = '/'.join([urllib.parse.quote(folder) for folder in folders])\n",
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"filename_csv = \"Kontaktdatenerhebung RV Villach (Antworten).csv\"\n",
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"\n",
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"url_csv = '/'.join([base_url,folder_string,urllib.parse.quote(filename_csv)])\n",
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"\n",
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"\n",
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"r = requests.get(url_csv, auth=(user, app_pw))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a74d9129",
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"metadata": {},
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"outputs": [],
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"source": [
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"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"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "28dbb7e7",
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"metadata": {},
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"outputs": [],
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"source": [
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"df"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "fc8568d6",
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"metadata": {},
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"outputs": [],
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"source": [
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"def extract_tel(row,col):\n",
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" # remove the first ' and all whitespaces within number\n",
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"\n",
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" tel = str(row[col])\n",
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"\n",
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" replace_dict = {\"'\":'',' ':''}\n",
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" \n",
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" for key, value in replace_dict.items():\n",
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" tel = tel.replace(key,value)\n",
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"\n",
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" # handle people who don't know how country codes work\n",
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" if tel[0] == '0':\n",
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" tel = '+43'+tel[1:]\n",
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" if tel[0] == '6':\n",
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" tel = '+43'+tel\n",
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" if tel[0:4] == '+430':\n",
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" tel = '+43'+tel[4:]\n",
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" if tel[0:3] == '+49':\n",
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" tel = '+43'+tel[3:]\n",
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" if tel[0:2] == '43':\n",
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" tel = '+43'+tel[2:]\n",
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" if tel[0:2] == '+6':\n",
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" tel = '+43'+tel[1:]\n",
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" \n",
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" return tel\n",
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"\n",
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"def evaluate_rower(row,col='rower'):\n",
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" if row[col] == 'Ruder:in':\n",
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" return True\n",
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" else:\n",
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" return False"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "68eaead1",
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"metadata": {},
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"outputs": [],
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"source": [
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"df"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e868df47",
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"metadata": {},
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"outputs": [],
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"source": [
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"df['Vorname'] = df['Vorname'].str.strip()\n",
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"df['Nachname'] = df['Nachname'].str.strip()\n",
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"df['rower'] = df.apply(evaluate_rower,axis=1,args=('rower',))\n",
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"df['Telefonnummer'] = df.apply(extract_tel,axis=1,args=('Telefonnummer',))\n",
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"df['Foto'] = df['Foto'].str.replace(' ','-')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "614ac3b3",
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"metadata": {},
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"outputs": [],
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"source": [
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"df"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "df2c876c",
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"metadata": {},
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"outputs": [],
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"source": [
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"def get_photo_for_row(row):\n",
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"\n",
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" filename = row['Foto']\n",
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"\n",
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" found_photo = False\n",
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" i = 30\n",
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" while found_photo is False:\n",
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" print(f\"trying folder {i}\")\n",
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" folders = [\"Forms\",\"6 - Kontaktdatenerhebung RV Villach\",f\"{i}\",\"23 - photo_name\"]\n",
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" folder_string = '/'.join([urllib.parse.quote(folder) for folder in folders])\n",
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" filename_photo = urllib.parse.quote(filename)\n",
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"\n",
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" url_photo = '/'.join([base_url,folder_string,urllib.parse.quote(filename_photo)])\n",
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"\n",
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" r = requests.get(url_photo, auth=(user, app_pw))\n",
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" if r.status_code != 200:\n",
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" i+=1\n",
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" if i > 200:\n",
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" break\n",
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" continue\n",
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" else:\n",
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" photo_bytes = r.content\n",
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" found_photo = True\n",
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" photo_b64 = base64.b64encode(photo_bytes).decode(\"utf-8\")\n",
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" \n",
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" i = base64.b64decode(photo_b64)\n",
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" i = io.BytesIO(i)\n",
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" i = mpimg.imread(i, format='JPG')\n",
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"\n",
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" plt.imshow(i, interpolation='nearest')\n",
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" plt.show()\n",
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"\n",
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" return photo_b64\n",
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" \n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8c9db8d6",
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"metadata": {},
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"outputs": [],
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"source": [
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"def convert_rows_to_vcf(row):\n",
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" # Map CSV columns to vCard fields\n",
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" first_name = row['Vorname']\n",
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" last_name = row['Nachname']\n",
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" phone = row['Telefonnummer']\n",
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" year = row['Jahrgang']\n",
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" rower = row['rower']\n",
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" cat = 'RVV Athlet:innen' if rower is True else 'RVV Eltern'\n",
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" address_book = 'rv-villach-athletinnen' if rower is True else 'rv-villach-eltern'\n",
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" photo_b64 = get_photo_for_row(row)\n",
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"\n",
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" lines = [\n",
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" \"BEGIN:VCARD\",\n",
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" \"VERSION:3.0\",\n",
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" f\"FN:{last_name} {first_name}\",\n",
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" f\"N:{last_name};{first_name};;;\",\n",
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" f\"CATEGORIES:{cat}\",\n",
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" f\"TEL;TYPE=CELL:{phone}\"]\n",
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" \n",
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" if rower is True:\n",
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" lines.append(f'NOTE:JG {year}')\n",
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"\n",
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" if photo_b64:\n",
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" lines.append(f\"PHOTO;ENCODING=b;TYPE=JPEG:{photo_b64}\")\n",
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"\n",
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" lines.append(\"END:VCARD\")\n",
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"\n",
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" vcard_content = \"\\n\".join(lines)\n",
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"\n",
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" # Save to file\n",
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" filename = f\"{last_name}_{first_name}.vcf\".replace(\" \", \"_\")\n",
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" with open(os.path.join('temp', filename), 'w') as f:\n",
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" f.write(vcard_content)\n",
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"\n",
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" # upload file to correct address book\n",
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"\n",
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" base_url_contacts = \"https://nextcloud.karnelegger.eu/remote.php/dav/addressbooks/users/Georg%20Brantegger/\"\n",
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" url = base_url_contacts + address_book + '/' + filename\n",
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"\n",
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" with open(f'temp/{filename}', \"rb\") as f:\n",
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" r = requests.put(\n",
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" url,\n",
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" data=f,\n",
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" auth=(user, app_pw),\n",
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" headers={\"Content-Type\": \"text/vcard\"}\n",
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" )\n",
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"\n",
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" print(filename, r.status_code)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "61659f5b",
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"metadata": {},
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"outputs": [],
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"source": [
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"df.apply(convert_rows_to_vcf,axis=1)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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