Hi all, today I had a look at the new module in order to adjust the cli the same way I just did for ConfigNode and DataNode. Unfortunately, I had issues building on my machine (I guess mainly to me having Python 3.12 installed and not 3.8). Knowing that we had just addressed similar issues in PLC4X’ python implementation, I took the liberty to update the pom.
It now uses a local python installation in “venv” which should work with almost any python3 installation. Also did I notice several configuration issues in the pom and several goals that seem to relate to previous project configurations, which do not have any effect on the current build. Especially during a release the python version synchronization would have caused issues. I also fixed those. Possibly I need to extend my little script or the release plugin configuration when we do a real release, but I think with my current approach it should be a lot more robust. Please have a look at my new PR: https://github.com/apache/iotdb/pull/13302 Chris Von: Yuan Tian <jackietie...@gmail.com> Datum: Montag, 26. August 2024 um 08:15 An: dev@iotdb.apache.org <dev@iotdb.apache.org> Betreff: Re: Update on AINode Component Development for IoTDB Hi caiyin, Glad to see that pr merged! On Mon, Aug 26, 2024 at 12:03 PM ycy wi <ycy...@gmail.com> wrote: > Hi all. > I am writing to share the latest developments on the AINode component that > we have been contributing to the IoTDB. > We have made progress on integrating AINode with IoTDB. Here's a summary > of the current status: > Basic Functionality Integration: We have successfully added the > foundational code for AINode to the IoTDB-core module. This lays the > groundwork for the advanced analytical capabilities by deep learning model. > Node Management Enhancements: To DataNode and ConfigNode, we have > incorporated new functionalities for node management that are essential for > the operation of AINode. > Initial Model Management and Inference Support: The current development > phase supports the basic workflow for model management and inference. This > is a crucial step towards realizing AINode's full potential. > We have pushed these changes to a pull request (PR) for review and > discussion. You can find the details and the code in the following PR: > https://github.com/apache/iotdb/pull/13254 > We are excited to continue enhancing the AINode module. Our immediate > focus will be on refining the IT infrastructure, conducting non-functional > refactoring to improve code quality, and ensuring robust performance. We > look forward to sharing these improvements and progress with the community > soon. > > Best regards, > Caiyin Yang
