221 lines
6.2 KiB
Plaintext
221 lines
6.2 KiB
Plaintext
{
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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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"\n",
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"base_url_csv = \"https://nextcloud.karnelegger.eu/remote.php/webdav\"\n",
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"folders = [\"Forms\",\"4 - Kontaktdatenerhebung Trainerteam\",\"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 Trainerteam (Antworten).csv\"\n",
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"\n",
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"url_csv = '/'.join([base_url_csv,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))\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": "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))\n",
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"\n",
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"df[['Nachname','Vorname']] = df.apply(lambda row: row['Nachname Vorname'].strip().split(' ',maxsplit=1),axis=1,result_type='expand')\n",
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"df = df.copy()\n",
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"df['Nachname'] = df['Nachname'].replace({'Anton': 'Pfurtscheller','David': 'Kobau'})\n",
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"df['Vorname'] = df['Vorname'].replace({'Franz Pfurtscheller': 'Anton Franz', 'Kobau': 'David'})\n",
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"df['Telefonnummer'] = df['Telefonnummer'].str.replace(\"'\",'').str.replace('06','+436',n=1)\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": "fc8568d6",
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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 = 0\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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" base_url_photo = \"https://nextcloud.karnelegger.eu/remote.php/webdav\"\n",
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" folders = [\"Forms\",\"4 - Kontaktdatenerhebung Trainerteam\",f\"{i}\",\"19 - Foto\"]\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_photo,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 > 100:\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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" org = 'Ruderverein Villach von 1881'\n",
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" photo_b64 = get_photo_for_row(row)\n",
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" \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:{first_name} {last_name}\",\n",
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" f\"N:{last_name};{first_name};;;\",\n",
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" f\"ORG:{org}\",\n",
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" f\"TEL;TYPE=CELL:{phone}\"]\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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]
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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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"cell_type": "code",
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"execution_count": null,
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"id": "37b2a51b",
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"metadata": {},
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"outputs": [],
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"source": [
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"base_url = \"https://nextcloud.karnelegger.eu/remote.php/dav/addressbooks/users/Georg%20Brantegger/rv-villach-trainer/\"\n",
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"\n",
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"for vcf_file in os.listdir('temp'):\n",
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"\n",
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" url = base_url + vcf_file\n",
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"\n",
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" with open(f'temp/{vcf_file}', \"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(vcf_file, r.status_code)"
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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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