[🐛 BUG] Can't edit tabular data in data node viewer

[AlexandreSajus]

What went wrong? 🤔

I have a Taipy application. I have created a new scenario and want to edit the "demand" data node. In the data node viewer, when I press edit data, the data tab shows a lock sign with hovertext "locked by you" and I can't edit the data:

Expected Behavior

I want to edit the datanode "demand".

Steps to Reproduce Issue

1. Clone the demo repo

   git clone https://github.com/Avaiga/demo-workforce-plan.git

2. Install the develop version of Taipy

   pip install git+https://github.com/Avaiga/taipy.git

3. Install requirements

   pip install -r requirements.txt

4. Run main.py

   python main.py

5. Create a new scenario using the scenario selector and try editing the demand data node in the data node viewer

Browsers

Chrome

OS

Windows

Version of Taipy

develop

Acceptance Criteria

• [ ] Ensure the new code is unit tested, and check that the code coverage is at least 90%.
• [ ] Create related issues 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)

[FlorianJacta]

You can test it with this code:

# Import necessary libraries
import pandas as pd
import taipy as tp
from taipy import Config, Scope, Frequency
from taipy.gui import notify
import time

import datetime as dt

Config.configure_job_executions(mode="standalone", max_nb_of_workers=2)

# Function to run a Dataiku scenario
def run_something(input_1, input_2):
    datetime = dt.datetime.now()
    date = dt.date(2018, 1, 1)
    int_var = 10
    string_var = "String"
    return datetime, date, int_var, string_var

data = {"toto": [i for i in range(10_000)], 
        "titi": [2*i for i in range(10_000)],
        "tata": [4*i for i in range(10_000)]}

data_2 = {"toto": [2*i for i in range(10_000)], 
        "titi": [i for i in range(10_000)],
        "tata": [3*i for i in range(10_000)]}

input_1_cfg = Config.configure_data_node(
    id="input_1_data_node",
    default_data=1,
)

input_2_cfg = Config.configure_data_node(
    id="input_2_data_node",
    default_data=data,
)

datetime_cfg = Config.configure_data_node(id="datetime_data_node")
date_cfg = Config.configure_data_node(id="date_data_node")
int_cfg = Config.configure_data_node(id="int_data_node")
string_cfg = Config.configure_data_node(id="string_data_node")

# Scenario and task configuration in Taipy
scenario_task_cfg = Config.configure_task(
    id="scenario_task",
    function=run_something,
    input=[input_1_cfg, input_2_cfg],
    output=[datetime_cfg, date_cfg, int_cfg, string_cfg]
)

scenario_cfg = Config.configure_scenario(
    id="scenario",
    task_configs=[scenario_task_cfg],
    frequency=Frequency.DAILY)

data_node = None
# GUI Markdown content
scenario_md = """
<|{scenario}|scenario_selector|on_change=change_data_node|>

<|{data_node}|data_node|>
"""

def change_data_node(state):
    if isinstance(state.scenario, tp.Scenario):
        state.data_node = state.scenario.input_1_data_node

# Main execution block with GUI setup
if __name__ == "__main__":
    tp.Core().run()
    scenario = tp.create_scenario(scenario_cfg, name="Scenario 1")
    scenario.input_1_data_node.write(data_2)

    tp.Gui(scenario_md).run(title="Bug replication", port=3248)