made an athletes list from the contact files

LaTex/Ruderbeschriftung.tex

@@ -25,15 +25,8 @@
 \begin{center}
     \begin{minipage}{0.9\textwidth}
         \section*{Ruder ID Format}
-            % \begin{table}[]
+
-            %     \centering
+            \vspace{15mm}
-            %     \setlength{\tabcolsep}{40pt} % Adjust column spacing
-            %     \LARGE
-            %     \begin{tabular}{ccccccc}
-            %     \textbf{S1}  & \textbf{S2} & \textbf{S3} & \textbf{S4} & \textbf{S5} & \textbf{S6} & \textbf{S7} \\
-            %     \textbf{Typ} & \textbf{Marke} & \textbf{Blatttyp} & \textbf{Anschaffungsjahr} & \textbf{Nummer} & \textbf{Seite} & \textbf{Rest} 
-            %     \end{tabular}
-            % \end{table}
 
             \begin{table}[]
                 \centering
@@ -43,15 +36,17 @@
                     \textbf{S1} & \textbf{S2} & \textbf{S3} & \textbf{S4} & \textbf{S5} & \textbf{S6} & \textbf{S7} \\
                     \textbf{Typ} & \textbf{Marke} & \textbf{Blatttyp} & \textbf{Anschaffungsjahr} & \textbf{Nummer} & \textbf{Seite} & \textbf{Rest}
                 \end{tabular}
-            \end{table}            
+            \end{table}
 
+            \vspace{15mm}
+            
         \section*{Erklärung der Segmente}
 
         \begin{table}[h!]
             \centering
-            \setlength{\tabcolsep}{40pt} % Adjust column spacing
+            \setlength{\tabcolsep}{60pt} % Adjust column spacing
             \LARGE
-            \begin{tabular}{ccccc} % Remove extra space on the sides
+            \begin{tabular}{|ccccc|} % Remove extra space on the sides
                 \toprule
                 \textbf{Segmentnummer} & \textbf{Segmentname} & \textbf{Anzahl Stellen} & \textbf{Wert} & \textbf{Langtext} \\
                 \midrule
@@ -103,8 +98,10 @@
             \end{tabular}
         \end{table}
 
+        \vspace{15mm}
 
         \section*{Beispiele}
+        \vspace{5mm}
         \begin{center}
             \Huge
             \textbf{S-C2-H-201X-99-B-sk}

Nextcloud Contact Infos/convert_athletes.ipynb

@@ -226,7 +226,7 @@
     "        f\"TEL;TYPE=CELL:{phone}\"]\n",
     "    \n",
     "    if rower is True:\n",
-    "        lines.append(f'NOTE:JG {year}')\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",

Nextcloud_Athletes/create_athletes_list.ipynb

@@ -0,0 +1,217 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "id": "152c4ce0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import pandas as pd\n",
+    "import datetime as dt\n",
+    "import openpyxl.styles"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "041b0ab6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# --- Configuration ---\n",
+    "NEXTCLOUD_URL = \"https://nextcloud.karnelegger.eu\"\n",
+    "USERNAME = \"Georg Brantegger\"\n",
+    "with open('app_pw.txt','r') as f:\n",
+    "    APP_PASSWORD = f.readline()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "b4c04efb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import vobject\n",
+    "\n",
+    "\n",
+    "# This is the \"URL slug\" of your address book. \n",
+    "# Usually, if you name it \"Athletes\", the slug is \"athletes\" (lowercase).\n",
+    "# You can find the exact name by going to Contacts -> Settings (bottom left) -> \n",
+    "# Click the 3 dots next to your address book -> \"Copy link\". \n",
+    "# The link will end with /addressbooks/users/username/THIS_PART/\n",
+    "ADDRESSBOOK_NAME = \"rv-villach-athletinnen\" \n",
+    "\n",
+    "\n",
+    "# The ?export parameter tells Nextcloud to dump the whole address book at once\n",
+    "CARDDAV_URL = f\"{NEXTCLOUD_URL}/remote.php/dav/addressbooks/users/{USERNAME}/{ADDRESSBOOK_NAME}/?export\"\n",
+    "\n",
+    "def get_athlete_data():\n",
+    "    print(f\"Fetching contacts from the '{ADDRESSBOOK_NAME}' address book...\")\n",
+    "    response = requests.get(CARDDAV_URL, auth=(USERNAME, APP_PASSWORD))\n",
+    "    \n",
+    "    if response.status_code != 200:\n",
+    "        print(f\"❌ Error {response.status_code}: Could not fetch address book.\")\n",
+    "        print(\"Check your URL, credentials, and make sure the ADDRESSBOOK_NAME is exactly right.\")\n",
+    "        return []\n",
+    "\n",
+    "    vcf_data = response.text\n",
+    "    first_names = []\n",
+    "    last_names = []\n",
+    "    genders = []\n",
+    "    years_of_birth = []\n",
+    "\n",
+    "    # Parse the multi-contact VCF data\n",
+    "    for vcard in vobject.readComponents(vcf_data):\n",
+    "        # The 'n' property in a vCard holds the structured Name (First, Last, etc.)\n",
+    "        if hasattr(vcard, 'n'):\n",
+    "            first_name = vcard.n.value.given\n",
+    "            last_name = vcard.n.value.family\n",
+    "            \n",
+    "            first_names.append(first_name)\n",
+    "            last_names.append(last_name)\n",
+    "        else: print(vcard.fn.value)\n",
+    "        \n",
+    "        if hasattr(vcard, 'note'):\n",
+    "            [_,year_of_birth,gender] = vcard.note.value.split(' ')\n",
+    "            \n",
+    "            genders.append(gender)\n",
+    "            years_of_birth.append(int(year_of_birth))\n",
+    "            \n",
+    "    return last_names,first_names,genders,years_of_birth"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "3efe3bb1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fetching contacts from the 'rv-villach-athletinnen' address book...\n"
+     ]
+    }
+   ],
+   "source": [
+    "a,b,c,d = get_athlete_data()\n",
+    "data_dict = {'Nachname':a,'Vorname':b,'Gender':c,'Jahrgang':d}\n",
+    "\n",
+    "df = pd.DataFrame(data_dict)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "id": "a65d7693",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def evaluate_class(row):\n",
+    "    gender = row['Gender']\n",
+    "    yob = row['Jahrgang']\n",
+    "    age = dt.datetime.now().year - yob\n",
+    "    \n",
+    "    if age <= 12:\n",
+    "        c1 = 'Sch'\n",
+    "        c2 = 'B'\n",
+    "    elif 12 < age <= 14:\n",
+    "        c1 = 'Sch'\n",
+    "        c2 = 'A'\n",
+    "    elif 14 < age <= 16:\n",
+    "        c1 = 'Jun'\n",
+    "        c2 = 'B'\n",
+    "    elif 16 < age <= 18:\n",
+    "        c1 = 'Jun'\n",
+    "        c2 = 'A'\n",
+    "    elif 18 < age <= 23:\n",
+    "        c1 = 'Sen'\n",
+    "        c2 = 'B'\n",
+    "    elif 23 < age <= 30:\n",
+    "        c1 = 'Sen'\n",
+    "        c2 = 'A'\n",
+    "    \n",
+    "    return f'{c1}-{gender}-{c2}'\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "529f37c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Klasse'] = df.apply(evaluate_class,axis=1)\n",
+    "df[f'Ruderpass {dt.datetime.now().year}'] = 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "7ff6f41c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file_name = 'temp.xlsx'\n",
+    "\n",
+    "with pd.ExcelWriter(file_name, engine='openpyxl') as writer:\n",
+    "       \n",
+    "        df_styled = df.style.set_properties(**{'text-align': 'center'})\n",
+    "        # 2 Write to xlsx\n",
+    "        df_styled.to_excel(writer, sheet_name=\"Athlet_innen\",index=False)\n",
+    "\n",
+    "        # 3 after writing, change other formats\n",
+    "        #  --- Access the openpyxl worksheet object ---\n",
+    "        worksheet = writer.sheets[\"Athlet_innen\"]\n",
+    "\n",
+    "        # 3.2 format the header\n",
+    "        # Define a bold, larger font\n",
+    "        header_font = openpyxl.styles.Font(name='Arial', size=12, bold=True, color=\"000000\")\n",
+    "\n",
+    "        worksheet.column_dimensions['A'].width = 18*1.63\n",
+    "        worksheet.column_dimensions['B'].width = 18*0.86\n",
+    "        worksheet.column_dimensions['C'].width = 18*0.72\n",
+    "        worksheet.column_dimensions['D'].width = 18*0.91\n",
+    "        worksheet.column_dimensions['E'].width = 18*0.72\n",
+    "        worksheet.column_dimensions['F'].width = 18*1.45\n",
+    "\n",
+    "        \n",
+    "        # Iterate through the first row (Header)\n",
+    "        # worksheet[1] returns all cells in the first row\n",
+    "        for cell in worksheet[1]:\n",
+    "            cell.font = header_font\n",
+    "            cell.alignment = openpyxl.styles.Alignment(horizontal='center', vertical='center')\n",
+    "            cell.border  = openpyxl.styles.Border(bottom=openpyxl.styles.Side(border_style='medium', color='000000'))\n",
+    "\n",
+    "        # 3.3 freeze the first row\n",
+    "        worksheet.freeze_panes = 'A2'   "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "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": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}