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Currently, the walker instance does not have updated spec unless you click on the save button that inject the newest spec back to python backend (which does not work when spec param is not json_file).
I am providing pygwalker in streamlit as a standalone application for a group of people as an online tool. Instead of having a json file on server for each user, it is more practical to keep their spec in their session/localstorage. However, as the save does not work for spec in memory mode, the user has to export first their spec and then copy back so that I could regenerate a renderer with the new spec.
Is it technically feasible?
Thank you !
The text was updated successfully, but these errors were encountered:
ymurong
changed the title
Possibility to save spec in memory mode (
Possibility to save spec in memory mode (apart from json_file mode)
Sep 13, 2024
ymurong
changed the title
Possibility to save spec in memory mode (apart from json_file mode)
Possibility to save spec when spec param is not json file
Sep 13, 2024
Currently, the walker instance does not have updated spec unless you click on the save button that inject the newest spec back to python backend (which does not work when spec param is not json_file).
I am providing pygwalker in streamlit as a standalone application for a group of people as an online tool. Instead of having a json file on server for each user, it is more practical to keep their spec in their session/localstorage. However, as the save does not work for spec in memory mode, the user has to export first their spec and then copy back so that I could regenerate a renderer with the new spec.
Is it technically feasible?
Thank you !
The text was updated successfully, but these errors were encountered: