#!python
import matplotlib.pyplot as plt

# Create data for the chart
objects = {
    "(js) kjua": [8, 2, 0],
    "(js) soldair/node-qrcode": [8, 3, 4],
    "(php) chillerlan/php-qrcode": [10, 10, 10],
    "(php) kreativekorp/barcode": [0, 3, 4],
    "(php) bacon/baconqrcode": [5, 8, 4],
}

# Transpose the data
objects_data = list(zip(*[value for key, value in objects.items()]))

# Create the x-axis of the chart
x = list(objects.keys())

# Property names
property_names = ["Funktionalität", "Gepflegtheit", "Workflow-Eignung"]

# Create the chart
for i, object_data in enumerate(objects_data):
    plt.bar(x, object_data, bottom=[sum(objects_data[j][k] for j in range(i)) for k in range(len(x))], width=0.5, label=property_names[i])
# Add title and legend to the chart
plt.title('Vergleich von QR-Code Bibliotheken im Kontext:\nWeinland-Mosel Einlieferungswerkzeug')
plt.legend()
plt.ylabel("Gesamteignung")

# Rotate the x-axis labels to avoid overlapping
plt.xticks(rotation=45)

# Increase the bottom margin to avoid x-axis labels getting cut off
plt.subplots_adjust(bottom=0.35)

#save the figure
plt.savefig("images/qrlib-compare-barchart.png")