Add 03 and 04

2022 - RWTH Aachen/09_Automatisierung/03_Review_Auswertung_Zusagen_und_Nominees_Versenden.ipynb

+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "Author": "Tobias Hamann",
+    "created": "2022-09-23",
+    "edited by": "one name, another name",
+    "last updated": "2022-09-23",
+    "short_name": "hmt",
+    "version": "0.1.0"
+   },
+   "source": [
+    "## Versenden von Mails an die akzeptieren Contributors und Nominees\n",
+    "\n",
+    "Arbeitsanweisungen:\n",
+    "\n",
+    "1. Stelle sicher, dass eine Excel-Datei mit dem Dateinamen `Review_Results_v2.0.0_FINALE_LISTE.xlsx` existiert. Du solltest sie in Schritt 6 genutzt haben.\n",
+    "2. Stelle sicher, dass die Excel folgende Spalten mit genau diesen Namen enthält: \n",
+    "    1. `'Submission ID'`\n",
+    "    2. `'Status'`\n",
+    "    3. `'E-Mail'`\n",
+    "    4. `'First name'`\n",
+    "    5. `'Last Name'`\n",
+    "    4. `'Title of the contribution:'`\n",
+    "3. Open Excel\n",
+    "4. Open file --> Exported csv\n",
+    "5. On the first question that appears, choose \"Getrennt\"\n",
+    "6. On the second question that appears, choose \"Komma\" and nothing else!\n",
+    "7. On the third question that appears, choose \"Standard\"\n",
+    "8. Klick \"Fertigstellen\"\n",
+    "9. Save the file as \"Reviews_Export.xlsx\"\n",
+    "10. Führe das untenstehende Script aus"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import random\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import math\n",
+    "import os\n",
+    "\n",
+    "# Attention: Do the following steps!\n",
+    "# 1. Open Excel\n",
+    "# 2. Open file --> Exported csv\n",
+    "# 3. On the first question that appears, choose \"Getrennt\"\n",
+    "# 4. On the second question that appears, choose \"Komma\" and nothing else!\n",
+    "# 5. On the third question that appears, choose \"Standard\"\n",
+    "# 6. Klick \"Fertigstellen\"\n",
+    "# 7. Save the file as \"Reviews_Export.xlsx\"\n",
+    "#  \n",
+    "# Load Excel as Input\n",
+    "Input= pd.read_excel('txt_Outputs\\Output_FINAL.xlsx')\n",
+    "Reviews= pd.read_excel('Reviews_Export.xlsx')\n",
+    "\n",
+    "# Set Submission ID as index\n",
+    "Input.set_index('Submission ID', inplace=True, drop=False)\n",
+    "Reviews.set_index('Submission ID', inplace=True, drop=False)\n",
+    "\n",
+    "# print(Reviews.columns[39]) what remains from the pain of having \\\" in a string\n",
+    "\n",
+    "# Give ID of first real review\n",
+    "# You can set this to 0 and delete Test reviews from the Reviews-Excel\n",
+    "First_review_ID=858\n",
+    "\n",
+    "# Number of reviews\n",
+    "num_revs=3\n",
+    "\n",
+    "# Zero-Column for number of reviews given and given and score 1, score 2, score 3 and score total recieved\n",
+    "Input.insert(3, \"Reviews given\", 0, allow_duplicates = False)\n",
+    "Input.insert(4, \"Reviews recived\", 0, allow_duplicates = False)\n",
+    "Input.insert(5, \"Score 1 recieved\", 0, allow_duplicates = False)\n",
+    "Input.insert(6, \"Score 2 recieved\", 0, allow_duplicates = False)\n",
+    "Input.insert(7, \"Score 3 recieved\", 0, allow_duplicates = False)\n",
+    "Input.insert(8, \"Overall_Score\", 0, allow_duplicates = False)\n",
+    "Input.insert(10, \"Review 1 performed\", False, allow_duplicates = False)\n",
+    "Input.insert(12, \"Review 2 performed\", False, allow_duplicates = False)\n",
+    "\n",
+    "# Declare some column names that are quite long\n",
+    "reviewed_ID_Name=r'Identifier of the contribution: (Please copy the number behind \\ID:\\\" from the abstract website)\"'\n",
+    "question_01=\"\"\"The abstract's main topic is clear and unambiguous.\"\"\"\n",
+    "question_02=\"\"\"The structure of the abstract is clear.\"\"\"\n",
+    "question_03=\"\"\"Sources are cited, where necessary.\"\"\"\n",
+    "question_04=\"\"\"The language is appropriate and formally correct.\"\"\"\n",
+    "question_05=\"\"\"The abstract is clearly written and easy to understand.\"\"\"\n",
+    "question_06=\"\"\"The content of the abstract is technically correct.\"\"\"\n",
+    "question_07=\"\"\"The topic of the abstract is well motivated.\"\"\"\n",
+    "question_08=\"\"\"The state of the art is adequately covered.\"\"\"\n",
+    "question_09=\"\"\"The authors adequately summarized and discussed the topic.\"\"\"\n",
+    "question_10=\"\"\"The authors contributed to the state of the art.\"\"\"\n",
+    "question_11=\"\"\"The contribution fits thematically to the NFDI4Ing Conference.\"\"\"\n",
+    "question_12=\"\"\"The contribution focuses on engineering or related topics.\"\"\"\n",
+    "question_13=\"\"\"The participants of the conference will benefit from this contribution.\"\"\"\n",
+    "question_14=\"\"\"I will be looking forward to this contribution, if it receives a slot on the conference.\"\"\"\n",
+    "question_15=\"\"\"I might personally profit from this contribution.\"\"\"\n",
+    "\n",
+    "# write question names in array\n",
+    "questions=[question_01,question_02,question_03,question_04,question_05,question_06,question_07,question_08,question_09,question_10,question_11,question_12,question_13,question_14,question_15]\n",
+    "\n",
+    "\"\"\"\n",
+    "TODO:\n",
+    "- Durschschnittsreview der Einreichung berechnen\n",
+    "- Anzahl durchgeführter Reviews berechnen\n",
+    "\"\"\"\n",
+    "\n",
+    "for Abstract_index, Abstract_row in Input.iterrows():\n",
+    "    # Für jede Einreichung...\n",
+    "\n",
+    "    # Fetch ID und Mail des Abstracts\n",
+    "    Abstract_ID=Abstract_row['Submission ID']\n",
+    "    Abstract_Email=str(Abstract_row['E-Mail'])\n",
+    "    Abstract_Email=Abstract_Email.lower()\n",
+    "\n",
+    "\n",
+    "    for Review_index, Review_row in Reviews.iterrows():\n",
+    "        # ... jeweils alle Zeilen der Reviews durchgehen und ...\n",
+    "\n",
+    "        # Fetch ID, Mail des Reviews und gereviewte ID\n",
+    "        Review_ID=Review_row['Submission ID']\n",
+    "        Review_Email=str(Review_row['Reviewer: E-Mail'])\n",
+    "        Review_Email=Review_Email.lower()\n",
+    "        Reviewed_ID=Review_row[reviewed_ID_Name]\n",
+    "\n",
+    "        if Review_ID<First_review_ID:\n",
+    "            # Does not process with IDs < ID of the first review\n",
+    "            continue\n",
+    "        else:\n",
+    "            Reviewed_ID=int(Reviewed_ID)\n",
+    "\n",
+    "        if Abstract_ID==Reviewed_ID:\n",
+    "            # Wenn die Abstract_ID gereviewt wurde...\n",
+    "            # print(str(Abstract_ID)+ \" reviewd by \" + str(Review_ID))\n",
+    "\n",
+    "            # Wird der Review recieved counter hochgesetzt\n",
+    "            Input.loc[Abstract_ID, 'Reviews recived']=Input.loc[Abstract_ID, 'Reviews recived']+1\n",
+    "\n",
+    "            # Wird der Score für das jeweilige Review berechnet\n",
+    "            Total_Score=0\n",
+    "            for question in questions:           \n",
+    "                Total_Score=Total_Score+Reviews.loc[Review_ID, question]\n",
+    "\n",
+    "            # When zu viele Reviews durchgeführt wurden\n",
+    "            if Input.loc[Abstract_ID, 'Reviews recived']>num_revs:\n",
+    "                print('Attention! To many reviews for ID '+ str(Abstract_ID))\n",
+    "                continue\n",
+    "\n",
+    "            # Write Score so corresponding review column\n",
+    "            Score_Column='Score '+ str(Input.loc[Abstract_ID, 'Reviews recived']) + ' recieved'\n",
+    "            Input.loc[Abstract_ID,Score_Column]=Total_Score\n",
+    "\n",
+    "\n",
+    "        # Wenn der Reviewer ein Abstract eingereicht hat, \n",
+    "        # wird dokumentiert, dass gereviewt wurde, indem...\n",
+    "        if Abstract_Email==Review_Email:\n",
+    "            # ... der reviews given counter hochgesetzt wird\n",
+    "            Input.loc[Abstract_ID, 'Reviews given']=Input.loc[Abstract_ID, 'Reviews given']+1\n",
+    "\n",
+    "            # ... dokumentiert wird, welches Review durchgeführt wurde\n",
+    "            if Reviewed_ID==Input.loc[Abstract_ID, 'Review 1:']:\n",
+    "                Input.loc[Abstract_ID, 'Review 1 performed']=True\n",
+    "            elif Reviewed_ID==Input.loc[Abstract_ID, 'Review 2:']:\n",
+    "                Input.loc[Abstract_ID, 'Review 2 performed']=True\n",
+    "\n",
+    "\n",
+    "    # Calculate Overall score\n",
+    "    Reviews_recieved=Input.loc[Abstract_ID, 'Reviews recived']\n",
+    "\n",
+    "\n",
+    "    Sum_of_Scores=0\n",
+    "    for score in range(1,(Reviews_recieved+1)):\n",
+    "        Score_Column='Score '+ str(score) + ' recieved'\n",
+    "        Sum_of_Scores=Sum_of_Scores+Input.loc[Abstract_ID,Score_Column]\n",
+    "\n",
+    "    if Reviews_recieved>0:\n",
+    "        Overall_Score=Sum_of_Scores/Reviews_recieved\n",
+    "    else:\n",
+    "        Overall_Score=0\n",
+    "    \n",
+    "    Input.loc[Abstract_ID, 'Overall_Score']=Overall_Score\n",
+    "\n",
+    "Input.to_excel(\"Review_Results.xlsx\")  \n"
+   ]
+  }
+ ],
+ "metadata": {
+  "celltoolbar": "Edit Metadata",
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
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+    "name": "ipython",
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+   "mimetype": "text/x-python",
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+   "pygments_lexer": "ipython3",
+   "version": "3.9.12"
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+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

2022 - RWTH Aachen/09_Automatisierung/04_Erzeuge_Abstract_HTMLs.ipynb

+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "Author": "Tobias Hamann",
+    "created": "2022-09-23",
+    "edited by": "one name, another name",
+    "last updated": "2022-09-23",
+    "short_name": "hmt",
+    "version": "0.1.0"
+   },
+   "source": [
+    "## Erstellung automatisch generierter HTML Blöcke für die Abstract Website\n",
+    "\n",
+    "Arbeitsanweisungen:\n",
+    "\n",
+    "1. Stelle sicher, dass eine Excel-Datei mit dem Dateinamen `Review_Results_v2.0.0_FINALE_LISTE.xlsx` existiert. Du solltest sie in Schritt 6 genutzt haben.\n",
+    "2. Stelle sicher, dass die Excel folgende Spalten mit genau diesen Namen enthält: \n",
+    "    1. `'Submission ID'`\n",
+    "    2. `'Status'`\n",
+    "    3. `'E-Mail'`\n",
+    "    4. `'First name'`\n",
+    "    5. `'Last Name'`\n",
+    "    4. `'Title of the contribution:'`\n",
+    "3. Führe das untenstehende Script aus\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "Author": "Tobias Hamann",
+    "created": "2022-09-23",
+    "edited by": "one name, another name",
+    "last updated": "2022-09-23",
+    "short_name": "hmt",
+    "version": "0.1.0"
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from os.path import exists\n",
+    "import os\n",
+    "\n",
+    "# Load excel\n",
+    "Contributor_Liste = pd.read_excel('Review_Results_v2.0.0_FINALE_LISTE.xlsx')\n",
+    "\n",
+    "t01 = '<a class=\"hmt_anchor\" id=\"'\n",
+    "# ID\n",
+    "t02 = '\" style=\"color:#FFFFFF;text-decoration:none;\"></a> \\n <div style=\"color:#FFFFFF;line-height:1\"> \\n <span style=\"color:#9F9F9F;float:right;\"> \\n ID: '\n",
+    "# ID\n",
+    "t03 = '\\n</span> \\n <details> \\n     <summary> \\n        <span style=\"color:#FFFFFF;text-decoration:none;\">\\n            <b>'\n",
+    "# Title of contribution\n",
+    "t04 = '</b>\\n         - Workshop\\n         </span>\\n</summary>\\n<br>\\n\\n  <!--ADD ABSTRACT TEXT HERE. Format it by yourself. To much variation for automation.-->\\n\\n '\n",
+    "# Abstract Text has to be added and formatted manually\n",
+    "t05 = '</details>\\n<br>\\n<br>\\n<span style=\"color:#FFFFFF;float:right;\">License: \\n<a href=\"https://creativecommons.org/licenses/by/4.0/\" target=\"_blank\" rel=\"noopener\">\\n    <span style=\"color: #FFFFFF\"><u>CC-BY 4.0 &#8599;</u></span>\\n</a>\\n</span>\\n\\n</div>'\n",
+    "\n",
+    "# Make folder\n",
+    "Ordnername=\"HTMLs\"\n",
+    "if not os.path.exists(Ordnername):\n",
+    "    os.mkdir(Ordnername)\n",
+    "\n",
+    "# For everyone in the list\n",
+    "for index, row in Contributor_Liste.iterrows():\n",
+    "\n",
+    "    # Teste if Termin bestätigt (raus wird nicht angeschrieben)\n",
+    "    if row['Status'] == 'Termin bestätigt':\n",
+    "\n",
+    "        # Get ID aus string\n",
+    "        ID = str(int(row['Submission ID']))\n",
+    "\n",
+    "        # Compile Text\n",
+    "        tex_full = t01+ID+t02+ID+t03 + row['Title of the contribution:']+t04 + t05\n",
+    "\n",
+    "        # Set new status\n",
+    "        Contributor_Liste.at[index, 'Status'] = 'HTML erstellt'\n",
+    "\n",
+    "\n",
+    "        # Write txt file\n",
+    "        txt_filename=Ordnername+\"/\"+ID+\"_Abstract_HTML.txt\"\n",
+    "        with open(txt_filename, \"w\") as text_file:\n",
+    "            text_file.write(tex_full)\n",
+    "\n",
+    "    # Debug\n",
+    "    if index > 0:\n",
+    "        break\n",
+    "\n",
+    "# Write Excel file\n",
+    "Contributor_Liste.to_excel('04_Erzeuge_Abstract_HTMLs.xlsx')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "celltoolbar": "Edit Metadata",
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.12"
+  },
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+ },
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+ "nbformat_minor": 2
+}