[🐛 BUG] Error when aggregating a table with a date column

[FlorianJacta]

What went wrong? 🤔

Aggregation in a Taipy table raises an error when there is a date column inside the table.

This worked in 3.1 but not anymore in 4.0.

Nothing shown on the Python console.

Client console:

taipy-gui-deps.dll.js?09280cf3a6e7afe74927:184 TypeError: Cannot read properties of undefined (reading 'dfid')
    at taipy-gui.js?09280cf3a6e7afe74927:184:117165
    at Array.reduce (<anonymous>)
    at xV (taipy-gui.js?09280cf3a6e7afe74927:184:117132)
    at taipy-gui.js?09280cf3a6e7afe74927:184:172564
    at hl (taipy-gui-deps.dll.js?09280cf3a6e7afe74927:184:554395)
    at jr (taipy-gui-deps.dll.js?09280cf3a6e7afe74927:184:574340)
    at taipy-gui-deps.dll.js?09280cf3a6e7afe74927:184:573117
    at Ar (taipy-gui-deps.dll.js?09280cf3a6e7afe74927:184:573177)
    at lr (taipy-gui-deps.dll.js?09280cf3a6e7afe74927:184:566993)
    at Na (taipy-gui-deps.dll.js?09280cf3a6e7afe74927:184:508021)

Expected Behavior

We should be able to aggregate the table even if there is a date column inside the table.

Steps to Reproduce Issue

Run this code and aggregate on Country in the table:

from taipy.gui import Gui
import taipy.gui.builder as tgb
import pandas as pd

data = pd.DataFrame(
    {
        "Country": ["France", "France", "UK", "UK"],
        "Date": ["2020-01-01", "2020-01-02", "2020-01-03", "2020-01-04"],
    }
)
data["Date"] = pd.to_datetime(data["Date"])

with tgb.Page() as page:
    tgb.table(
        "{data}",
        group_by__Country=True,
    )

if __name__ == "__main__":
    Gui(page=page).run(title="Date Aggregation")

Version of Taipy

4.0

Acceptance Criteria

• [ ] Ensure new code is unit tested, and check code coverage is at least 90%.
• [ ] Create related issue in taipy-doc for documentation and Release Notes.

Code of Conduct

• [X] I have checked the existing issues.
• [ ] I am willing to work on this issue (optional)

[rabelmervin]

Hi @FlorianJacta I'm interested to contribute to this issue ? Could you please assign me ?

[FlorianJacta]

This is not yet open for contribution. You can look into our other issues for the moment. We will let you know when this issue is open for contribution!