Problem of version compability even with Develop mode on

[FlorianJacta]

Description

Changing configuration might create issues in Taipy Core even in Develop mode. Changing the name of the function used by a task raises an error.

How to reproduce

• Run the code

from taipy import Config, Scope, Frequency

import datetime as dt

import taipy as tp
import pandas as pd

PATH_CSV = 'dataset.csv'
PATH_PARQUET = 'dataset.parquet'

def transform(csv, parquet, pickle):
    print("     Cleaning data")
    return csv, 5, "hello", dt.datetime.now()

## Input Data csv
csv_cfg = Config.configure_data_node(id="csv",  storage_type="csv", path=PATH_CSV)#scope=Scope.GLOBAL,
parquet_cfg = Config.configure_data_node(id="parquet", scope=Scope.CYCLE, storage_type="parquet", path=PATH_PARQUET)
pickle_cfg = Config.configure_data_node(id="pickle")


## Remaining Data Node
data_out_cfg = Config.configure_data_node(id="data_out")
int_cfg = Config.configure_data_node(id="int")
string_cfg = Config.configure_data_node(id="string")
date_cfg = Config.configure_data_node(id="date")

# Task config objects
transform_task_cfg = Config.configure_task(id="transform",
                                            function=transform,
                                            input=[csv_cfg,parquet_cfg,pickle_cfg],
                                            output=[data_out_cfg, int_cfg, string_cfg, date_cfg],
                                            skippable=True)


# Configure our scenario config.
scenario_cfg = Config.configure_scenario(id="scenario", task_configs=[transform_task_cfg], frequency=Frequency.MONTHLY)


if __name__ == "__main__":
    tp.Core().run()

    scenario = tp.create_scenario(config=scenario_cfg)
    data_pickle = pd.DataFrame({"Hello": [1, 2, 3], "World": [4, 5, 6]})
    scenario.pickle.write(data_pickle)
    data_csv = pd.DataFrame({"Hi": ["red", "step", 'true'], "World": [None, 5, 6]})
    data_csv.to_csv(PATH_CSV)
    data_parquet = pd.DataFrame({"Date":[dt.datetime(2021, 1, 1), dt.datetime(2021, 1, 2), dt.datetime(2021, 1, 3)], "Value": [1, 2, 3]})
    data_parquet.to_parquet(PATH_PARQUET)

    print(scenario.pickle.read())

• Rename the function used:

from taipy import Config, Scope, Frequency

import datetime as dt

import taipy as tp
import pandas as pd

PATH_CSV = 'dataset.csv'
PATH_PARQUET = 'dataset.parquet'

def other_function(csv, parquet, pickle):
    print("     Cleaning data")
    return csv, 5, "hello", dt.datetime.now()

## Input Data csv
csv_cfg = Config.configure_data_node(id="csv",  storage_type="csv", path=PATH_CSV)#scope=Scope.GLOBAL,
parquet_cfg = Config.configure_data_node(id="parquet", scope=Scope.CYCLE, storage_type="parquet", path=PATH_PARQUET)
pickle_cfg = Config.configure_data_node(id="pickle")


## Remaining Data Node
data_out_cfg = Config.configure_data_node(id="data_out")
int_cfg = Config.configure_data_node(id="int")
string_cfg = Config.configure_data_node(id="string")
date_cfg = Config.configure_data_node(id="date")

# Task config objects
transform_task_cfg = Config.configure_task(id="transform",
                                            function=other_function,
                                            input=[csv_cfg,parquet_cfg,pickle_cfg],
                                            output=[data_out_cfg, int_cfg, string_cfg, date_cfg],
                                            skippable=True)


# Configure our scenario config.
scenario_cfg = Config.configure_scenario(id="scenario", task_configs=[transform_task_cfg], frequency=Frequency.MONTHLY)


if __name__ == "__main__":
    tp.Core().run()

    scenario = tp.create_scenario(config=scenario_cfg)
    data_pickle = pd.DataFrame({"Hello": [1, 2, 3], "World": [4, 5, 6]})
    scenario.pickle.write(data_pickle)
    data_csv = pd.DataFrame({"Hi": ["red", "step", 'true'], "World": [None, 5, 6]})
    data_csv.to_csv(PATH_CSV)
    data_parquet = pd.DataFrame({"Date":[dt.datetime(2021, 1, 1), dt.datetime(2021, 1, 2), dt.datetime(2021, 1, 3)], "Value": [1, 2, 3]})
    data_parquet.to_parquet(PATH_PARQUET)

    print(scenario.pickle.read())

Expected behavior
This shouldn't create any issue as we are in develop mode for Taipy Core.

Screenshots
When available and relevant, screenshots better help show the problem.

Runtime environment
Taipy 3.0 develop

[jrobinAV]

Thank you @FlorianJacta. We will have a look at it. Probably the next sprint.