The API Service Fails To Start On The Local Windows System.

May 20, 2025 by ADMIN 60 views

Introduction

In this article, we will explore the issue of the API service failing to start on a local Windows system. This problem can be frustrating, especially when you are working on a project that relies heavily on the API service. We will go through the steps to reproduce the issue, the expected behavior, and the actual behavior. By the end of this article, you will have a better understanding of the problem and how to troubleshoot it.

Self Checks

Before we dive into the issue, let's go through the self-checks to ensure that we are on the right track.

This is only for bug report: If you would like to ask a question, please head to Discussions.
I have searched for existing issues: I have searched for existing issues search for existing issues, including closed ones.
I confirm that I am using English to submit this report: I confirm that I am using English to submit this report (我已阅读并同意 Language Policy).
Please do not modify this template: Please do not modify this template :) and fill in all the required fields.

Dify Version

The Dify version I am using is 1.3.1.

Cloud or Self Hosted

I am using a Self Hosted (Source) setup.

Steps to Reproduce

To reproduce the issue, I followed these steps:

Navigate to the API directory: PS C:\1.3.1\LWAgent\api>
Run the following command: uv run flask run --host 0.0.0.0 --port=5001 --debug

The output of the command is as follows:

2025-05-20 02:22:20,894 INFO [utils.py:162]  NumExpr defaulting to 12 threads.
2025-05-20 02:22:24,147 INFO [_client.py:1038]  HTTP Request: GET https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json "HTTP/1.1 200 OK"
2025-05-20 02:22:28,402 INFO [repository_registry.py:38]  Registering WorkflowNodeExecution repository with RDBMS storage

Expected Behavior

The expected behavior is that the process should continue running and complete the registration of the WorkflowNodeExecution repository with RDBMS storage.

Actual Behavior

However, the actual behavior is that the process stalls every time it reaches the step of "Registering WorkflowNodeExecution repository with RDBMS storage". There is no response from the API service.

Troubleshooting

To troubleshoot this issue, we can try the following steps:

Check the logs: Check the logs for any errors or warnings that may indicate the cause of the issue.
Verify the configuration: Verify that the configuration is correct and that there are no issues with the database connection.
Check the dependencies: Check that all the dependencies are installed and up-to-date.
Try a different approach: Try a different approach to registering the WorkflowNodeExecution repository with RDBMS storage.

Conclusion

In conclusion, the API service fails to start on the local Windows system due to the issue with registering the WorkflowNodeExecution repository with RDBMS storage. By following the steps to reproduce the issue, we can identify the problem and troubleshoot it using the troubleshooting steps. We hope that this article has provided you with a better understanding of the issue and how to resolve it.

Additional Information

If you have any additional information or insights that may help in resolving this issue, please feel free to share them in the comments below.

Related Issues

If you are experiencing similar issues, please check the following related issues:

References

Dify Documentation
Flask Documentation
API Service Fails to Start on Local Windows System: Q&A ===========================================================

Introduction

In our previous article, we explored the issue of the API service failing to start on a local Windows system. We went through the steps to reproduce the issue, the expected behavior, and the actual behavior. In this article, we will answer some frequently asked questions related to this issue.

Q: What are the common causes of the API service failing to start on a local Windows system?

A: The common causes of the API service failing to start on a local Windows system include:

Incorrect configuration: The configuration may be incorrect, leading to issues with the database connection or other dependencies.
Missing dependencies: The dependencies may be missing or not installed correctly, causing the API service to fail to start.
Database connection issues: There may be issues with the database connection, such as incorrect credentials or a failed connection.
System resource issues: The system may be running low on resources, such as memory or CPU, causing the API service to fail to start.

Q: How can I troubleshoot the issue with the API service failing to start on a local Windows system?

A: To troubleshoot the issue with the API service failing to start on a local Windows system, you can try the following steps:

Check the logs: Check the logs for any errors or warnings that may indicate the cause of the issue.
Verify the configuration: Verify that the configuration is correct and that there are no issues with the database connection.
Check the dependencies: Check that all the dependencies are installed and up-to-date.
Try a different approach: Try a different approach to registering the WorkflowNodeExecution repository with RDBMS storage.

Q: What are the steps to reproduce the issue with the API service failing to start on a local Windows system?

A: The steps to reproduce the issue with the API service failing to start on a local Windows system are as follows:

Navigate to the API directory: PS C:\1.3.1\LWAgent\api>
Run the following command: uv run flask run --host 0.0.0.0 --port=5001 --debug

Q: What is the expected behavior of the API service when starting on a local Windows system?

A: The expected behavior of the API service when starting on a local Windows system is that the process should continue running and complete the registration of the WorkflowNodeExecution repository with RDBMS storage.

Q: What is the actual behavior of the API service when starting on a local Windows system?

A: The actual behavior of the API service when starting on a local Windows system is that the process stalls every time it reaches the step of "Registering WorkflowNodeExecution repository with RDBMS storage". There is no response from the API service.

Q: How can I resolve the issue with the API service failing to start on a local Windows system?

A: To resolve the issue with the API service failing to start on a local Windows system, you can try the following steps:

Check the logs: Check the logs for any errors or warnings that may indicate the cause of the issue.

Verify the configuration: Verify that the configuration is correct and that there are no issues with the database connection.
Check the dependencies: Check that all the dependencies are installed and up-to-date.
Try a different approach: Try a different approach to registering the WorkflowNodeExecution repository with RDBMS storage.