Initial commit

.gitignore

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+node_modules/
+result.txt

README.md

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+# Generator für HTML zu Projekten und Seminaren
+
+Als Fachschaft schicken wir kurz vor Beginn eines jeden Semesters eine Email zu allen verfügbaren Seminaren und Projekten mit Beschreibung, Links und Anmeldefristen raus.
+Die dazu nach und nach eintrudelnden Informationen der verschiedenen Lehrstühle können dank dieses Tools in einer einfachen Tabellendatei gesammelt und dann ganz automatisch daraus generiert werden.
+
+Hierzu muss das Repository geklont werden. Anschließend sind folgende Schritte notwendig, für die Node.js benötigt wird:
+
+```bash
+cd path/to/this/directory
+node index.js path/to/file.csv
+```
+
+Aus der Datei `file.csv` wird automatisiert Markup erstellt, das anschließend im Ordner des Programmes (genau dieser hier) unter `result.txt` zu finden ist.
+Es kann nach Belieben in VC-Kurse eingebunden werden.
+Der Dateipfad sollte entweder absolut oder relativ zum Programmordner angegeben werden.
+Zur Struktur der Quelldatei empfiehlt sich ein Blick in die Dateien ehemaliger Semester in der Cloud.

index.js

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+const csv = require('fast-csv')
+const fs = require('fs')
+
+let records = []
+
+/**
+ * Parse CSV file and call processor functions on every line.
+ */
+function start (dataFile) {
+  csv
+    .parseFile(dataFile, {
+      delimiter: ';'
+    })
+    .on("data", function (data) {
+      if (data[0] !== 'Bereich') processInput(...data)
+    })
+    .on("end", createHTML)
+}
+
+/**
+ * Generate one object for every line in the CSV file and push
+ * it to the records array.
+ */
+function processInput (section, chair, category, audience, abbreviation,
+                       topic, description, deadline, link) {
+  records.push({
+    section, chair, category, audience, abbreviation, topic, description, deadline, link
+  })
+}
+
+/**
+ * Generate HTML from the records array.
+ * The resulting markup is written to ./result.txt.
+ */
+function createHTML() {
+  let resultString = ''
+  const recordsBySection = groupBy(records, x => x.section)
+
+  Array.from(['Informatik', 'Angewandte Informatik', 'Wirtschaftsinformatik'])
+    .forEach(function (section) {
+      if (recordsBySection.has(section)) {
+        resultString += `<h1>${section}</h1>\n`
+
+        let recordsByChair = groupBy(recordsBySection.get(section), x => x.chair)
+        let chairs = [...recordsByChair.keys()].sort()
+        chairs.forEach(function (chair) {
+          resultString += `<h3>${chair}</h3>\n`
+
+          let recordsByCategory = groupBy(recordsByChair.get(chair), x => x.category)
+          let categories = [...recordsByCategory.keys()].sort()
+          categories.forEach(function (category) {
+
+            recordsByCategory.get(category).forEach(function (cur) {
+              resultString += `<div style="border: 1px solid lightgray; box-shadow: 0px 2px 4px rgba(0,0,0,0.3); padding: 1rem; margin-bottom: 1rem;"><h5>${category}`
+              resultString += cur.abbreviation ? ` ${cur.abbreviation}` : ''
+              resultString += `: ${cur.topic} (${cur.audience})</h5>\n`
+              resultString += `<p><strong>Kurzbeschreibung:</strong> ${cur.description}</p>\n`
+              resultString += `<p><strong>Anmeldefrist</strong>: ${cur.deadline}</p>\n`
+              resultString += `<p><strong>Weitere Informationen und Anmeldung:</strong> `
+              resultString += cur.link.startsWith('http') ? `<br/><a href="${cur.link}">${cur.link}</a>` : cur.link
+              resultString += `</p></div>\n`
+            })
+          })
+        })
+      }
+  })
+
+  fs.writeFileSync('result.txt', resultString)
+  console.log(`Successfully parsed ${process.argv[2]}.`)
+}
+
+if (process.argv[2]) {
+  start(process.argv[2])
+} else {
+  console.error("Missing argument. You have to pass the name of the data file.")
+}
+
+/**
+ * Group an array of records by a given key.
+ * Taken from the answer to this question:
+ * https: //stackoverflow.com/questions/14446511/most-efficient-method-to-groupby-on-an-array-of-objects#38327540
+ */
+function groupBy(list, keyGetter) {
+  const map = new Map();
+  list.forEach((item) => {
+    const key = keyGetter(item);
+    const collection = map.get(key);
+    if (!collection) {
+      map.set(key, [item]);
+    } else {
+      collection.push(item);
+    }
+  });
+  return map;
+}

package-lock.json

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+{
+  "name": "projekte-und-seminare",
+  "version": "1.0.0",
+  "lockfileVersion": 1,
+  "requires": true,
+  "dependencies": {
+    "@types/lodash": {
+      "version": "4.14.138",
+      "resolved": "https://registry.npmjs.org/@types/lodash/-/lodash-4.14.138.tgz",
+      "integrity": "sha512-A4uJgHz4hakwNBdHNPdxOTkYmXNgmUAKLbXZ7PKGslgeV0Mb8P3BlbYfPovExek1qnod4pDfRbxuzcVs3dlFLg=="
+    },
+    "@types/node": {
+      "version": "12.7.3",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-12.7.3.tgz",
+      "integrity": "sha512-3SiLAIBkDWDg6vFo0+5YJyHPWU9uwu40Qe+v+0MH8wRKYBimHvvAOyk3EzMrD/TrIlLYfXrqDqrg913PynrMJQ=="
+    },
+    "fast-csv": {
+      "version": "3.4.0",
+      "resolved": "https://registry.npmjs.org/fast-csv/-/fast-csv-3.4.0.tgz",
+      "integrity": "sha512-/vPTDJc/l6VLOLIqcrMjuhyi8ZVTipTNl2GkVvaYiHlyh16oQMYPUkUVfREurT3MYE9j3mLQDk2Q8kPq30qQCg==",
+      "requires": {
+        "@types/lodash": "^4.14.132",
+        "@types/node": "^12.0.2",
+        "lodash": "^4.17.13"
+      }
+    },
+    "lodash": {
+      "version": "4.17.15",
+      "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.15.tgz",
+      "integrity": "sha512-8xOcRHvCjnocdS5cpwXQXVzmmh5e5+saE2QGoeQmbKmRS6J3VQppPOIt0MnmE+4xlZoumy0GPG0D0MVIQbNA1A=="
+    }
+  }
+}

package.json

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+{
+  "name": "projekte-und-seminare",
+  "version": "1.0.0",
+  "description": "",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "author": "",
+  "license": "ISC",
+  "dependencies": {
+    "fast-csv": "^3.4.0"
+  }
+}