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When the value of the variable is 0, the variable is treated as null, resulting in an error in the Python calculation. #4096

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zswll2 opened this issue May 5, 2024 · 1 comment · Fixed by #4148
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@zswll2
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zswll2 commented May 5, 2024

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Dify version

0.6.5

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

IMG_7550
IMG_7549
I need some variables to perform some calculations. If the value of the variable is 0, it will be null when I call it in the subsequent nodes, which will cause an error in the Python code calculation. Please refer to the picture.

✔️ Expected Behavior

0

❌ Actual Behavior

null

@dosubot dosubot bot added the 🐞 bug Something isn't working label May 5, 2024
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dosubot bot commented May 5, 2024

The behavior you're encountering, where a variable with a value of 0 is treated as null in your Python code, could be due to how your code or the Dify framework you're using interprets numerical values, especially in conditions or functions designed to check for null or None values. It's crucial to ensure that your code differentiates between None (null in Python) and 0, as they have different meanings. Specifically, check the logic around any _assert_null or _assert_not_null methods or similar conditions that might mistakenly treat 0 as None.

To address this issue, review the initialization and handling of variables that can have a 0 value to ensure they are not inadvertently treated as None when passed through your workflow or calculations. This includes checking any custom logic that evaluates these variables before they are used in calculations or passed to functions that expect a non-null value.

If your setup is self-hosted using Docker, consider also reviewing your Docker configuration and how it interacts with Dify, although without more specific details on your Docker setup and the steps leading to the issue, it's challenging to provide a targeted solution. Ensure your Docker setup aligns with the recommended configurations as outlined in Dify's documentation.

For more detailed guidance, reviewing the Dify repository and the Dify Docker Compose Deployment documentation might provide additional insights into handling such issues.

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