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DEBUGGING.md

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Troubleshooting

Jupyter Notebooks

  • Make sure the pip install ran correctly. You might need to restart the kernel and run the cells from the top after the pip install runs the first time.

  • Many of the cells rely on variables that are set in earlier cells. Some of these are cleared in later cells. Start over at the top when troubleshooting.

  • Many of the cells rely on service credentials from IBM Cloud that are set in earlier cells. Make sure to add your service credentials correctly.

  • If there is an error in the 4.1 Prepare data section, there could be a change in the column names or format of the data files downloaded from kaggle. Please change the column names and format of the files downloaded from kaggle to match the format below.

    olympics.csv (renamed from summer.csv file downloaded from kaggle)

    Year City Sport Discipline Athlete Country Gender Event Medal
    1896 Athens Aquatics Swimming HAJOS, Alfred HUN Men 100M Freestyle Gold
    1896 Athens Aquatics Swimming HERSCHMANN, Otto AUT Men 100M Freestyle Silver

    dictionary.csv

    Country Code Population GDP per Capita
    Afghanistan AFG 32526562 594.3230812
    Albania ALB 2889167 3945.217582

  • If the Start Websocket client step throws an error as shown below, please refer to the step Update the websocket URL in the notebook in Section 8 of the documentation.

        --- response header ---
    HTTP/1.1 500 Error
    X-Backside-Transport: FAIL FAIL
    Content-Type: text/xml
    Connection: close

Node-RED

  • Make sure that the websocket URL has been updated with the NODERED_BASE_URL in the HTML code. Refer to section 5. Update the websocket URL in HTML code in the documentation for details.