Creating a plotly choropleth based on a custom .geojson

I can't figure out what I am doing wrong here. I already tried to alter the code to my .geojson but it seems like i am doing something wrong.

geojson file is:

https://raw.githubusercontent.com/JohnSmith1790/bigdata/main/landkreise_simplify0.geo.json

import json
import requests
import pandas as pd
import numpy as np
import plotly.express as px

polygons = requests.get("https://raw.githubusercontent.com/JohnSmith1790/bigdata/main/landkreise_simplify0.geo.json").json()



df = pd.DataFrame(
    #fips steht hier stand jetzt für die ID's der Landkreise in der Plot-Tabelle
    {"fips": range(1, 403, 1), "unemp": np.random.uniform(0.0, 501, 402)}
)

fig = px.choropleth(
    df,
    geojson=polygons,
    locations="fips",
    featureidkey="properties.AGS",
    color="unemp",
    color_continuous_scale="viridis",
    range_color=(0, 501),
    # scope="europe",
    labels={"unemp": "Gesamtscore"}
    
)   

fig.update_layout(margin={"r": 0, "t": 0, "l": 0, "b": 0})
fig.update_geos(fitbounds="locations", visible=True)
fig.show()

The AGS in the updated geojson is a string, but the user data is numeric. This is the reason why it is not displayed. By replacing the fips in the user data with AGS obtained from geojson, the map will be displayed. The user data needs to be consistent with the attribute data in geojson.

import json
import requests
import pandas as pd
import numpy as np
import plotly.express as px

polygons = requests.get("https://raw.githubusercontent.com/JohnSmith1790/bigdata/main/landkreise_simplify0.geo.json").json()

ags = []
for i in range(len(polygons['features'])):
    ags_name = polygons['features'][i]['properties']['AGS']
    ags.append(ags_name)
    
df = pd.DataFrame(
    #fips steht hier stand jetzt für die ID's der Landkreise in der Plot-Tabelle
    {"fips": ags, "unemp": np.random.uniform(0.0, 501, len(ags))}
)

fig = px.choropleth(
    df,
    geojson=polygons,
    locations="fips",
    featureidkey="properties.AGS",
    color="unemp",
    color_continuous_scale="viridis",
    range_color=(0, 501),
    # scope="europe",
    labels={"unemp": "Gesamtscore"}
)   

fig.update_layout(margin={"r": 0, "t": 0, "l": 0, "b": 0})
fig.update_geos(fitbounds="locations", visible=True)
fig.show()