adding DATAWRAPPER_API_TOKEN as a secret

.github/workflows/buildAndDeployWebsite.yml

@@ -47,7 +47,7 @@ jobs:
         shell: bash -el {0}
         run: |
           cd src/intensivstationen
-          jupyter nbconvert --ExecutePreprocessor.kernel_name="howbadismybatch-venv-kernel" --to notebook --allow-errors --execute Intensivstationen.ipynb
+          DATAWRAPPER_API_TOKEN=${{ secrets.DATAWRAPPER_API_TOKEN }} jupyter nbconvert --ExecutePreprocessor.kernel_name="howbadismybatch-venv-kernel" --to notebook --allow-errors --execute Intensivstationen.ipynb
           jupyter nbconvert --to html Intensivstationen.nbconvert.ipynb
           git add -A
           git commit -m "updating data for Intensivstationen"

src/intensivstationen/Chart.py

@@ -1,15 +1,15 @@
-from decouple import AutoConfig
 from Datawrapper import Datawrapper
 from ColumnsAdder import ColumnsAdder
 from KreiseReader import readKreise
 from MedianOfFreeBedsByKreisTableFactory import MedianOfFreeBedsByKreisTableFactory
 
 
-def createMedianOfFreeBedsByKreisChart(timeSeries, chartTitle):
-    dataWrapper = Datawrapper(AutoConfig(search_path='../..')('DATAWRAPPER_API_TOKEN'))
+def createMedianOfFreeBedsByKreisChart(timeSeries, chartTitle, accessToken):
+    dataWrapper = Datawrapper(accessToken)
     dataWrapper.setChartTitle(chartTitle)
     dataWrapper.uploadChartData(data = _createMedianOfFreeBedsByKreisTableForChoroplethMap(timeSeries))
-    dataWrapper.publishChart()
+    publishChartResult = dataWrapper.publishChart()
+    print('publishChart:', publishChartResult)
 
 def _createMedianOfFreeBedsByKreisTableForChoroplethMap(timeSeries):
     medianOfFreeBedsByKreisTableFactory = MedianOfFreeBedsByKreisTableFactory(timeSeries)

src/intensivstationen/Intensivstationen.ipynb

@@ -147,11 +147,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import os\n",
+    "\n",
     "createMedianOfFreeBedsByKreisChart(\n",
     "    timeSeries,\n",
     "    chartTitle = getChartTitle(\n",
     "        dateStart=timeSeries['date'].min(),\n",
-    "        dateEnd=timeSeries['date'].max()))"
+    "        dateEnd=timeSeries['date'].max()),\n",
+    "    accessToken = os.environ['DATAWRAPPER_API_TOKEN'])"
    ]
   }
  ],