jku-ba-react/src/evaluation/csvToJson.py

import pandas as pd
import json
import os

directory = os.path.dirname(os.path.abspath(__file__))
df = pd.read_csv(directory + "/metrics.csv", delimiter=";")
df = df.dropna(subset=["Metrik"]).reset_index(drop=True)

catLookUp = {
    "F": "Funktionen",
    "B": "Benutzerfreundlichkeit",
    "P": "Performance",
    "D": "Dokumentation",
    "I": "Installation"
    }

metrics = []
category = ""
df = df.fillna("")

for i, row in df.iterrows():
    newCat = catLookUp.get(row.get("Nr")[0])
    if type(newCat) == str:
        category = newCat
    rating = {
        "pigeon": row.get("Pigeon"),
        "leaflet": row.get("Leaflet"),
        "mapgl": row.get("MapGL"),
        "mapbox": row.get("Mapbox"),
        "google": row.get("Google"),
    }

    comments = {
        "pigeon": row.get("Kommentar Pigeon"),
        "leaflet": row.get("Kommentar Leaflet"),
        "mapgl": row.get("Kommentar MapGL"),
        "mapbox": row.get("Kommentar Mapbox"),
        "google": row.get("Kommentar Google"),
    }

    metrics.append({
        "metric": row.get("Metrik"),
        "number": row.get("Nr"),
        "category": category,
        "rating": rating,
        "comments": comments
    })

with open(directory + "/metrics.json", "w") as jsonFile:
    json.dump({"metrics": metrics}, jsonFile, indent=2)