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Production mode

When running a Taipy Core application in --production mode, Taipy can access all entities attached to the current version or another production version. It corresponds to the case where the application is stable and running in a production environment.

In the following, we consider the basic Taipy Core application main.py for all our examples: 

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import taipy.core as tp
from taipy import Config


def my_print_algo(entry: str):
    # does nothing!
    return entry


input_cfg = Config.configure_data_node("input", default_data="a_string")
output_cfg = Config.configure_data_node("output", description="What a description")
task_cfg = Config.configure_task("my_print_algo", my_print_algo, input_cfg, output_cfg)
scenario_cfg = Config.configure_scenario_from_tasks("my_scenario", [task_cfg])

if __name__ == "__main__":
    tp.Core().run()
    tp.create_scenario(scenario_cfg)
    print(f"nb scenarios: {len(tp.get_scenarios())}")

Convert an experiment in production

To convert an experiment version to a production, you can run the Taipy application on your command line interface with --production VERSION option providing the version name.

$ python main.py -l
Version number                         Mode                   Creation date
1.0                                    Experiment (latest)    2023-01-25 12:24:19
325d0618-6f9e-459b-9597-48fa93a57a23   Experiment             2023-01-25 12:20:56
26e56e84-9e7e-4a26-93f6-443d9aa541d9   Development            2023-01-25 12:20:33

$ python main.py --production 1.0
[2023-01-25 13:00:05,333][Taipy][INFO] job JOB_my_print_algo_e25214c4-1047-4136-a5db-c1241a3ddbcf is completed.
nb scenarios: 3

$ python main.py -l
Version number                         Mode                   Creation date
1.0                                    Production (latest)    2023-01-25 13:00:05
325d0618-6f9e-459b-9597-48fa93a57a23   Experiment             2023-01-25 12:20:56
26e56e84-9e7e-4a26-93f6-443d9aa541d9   Development            2023-01-25 12:20:33

In the example above, Taipy converted the version 1.0 to a production version before running it.

Without explicitly providing the version, the latest version of your application is used. Here is another example:

$ python main.py --experiment 2.0
[2023-01-25 13:05:17,712][Taipy][INFO] job JOB_my_print_algo_ac79138a-4c3a-4560-bbd4-f4975083bf83 is completed.
nb scenarios: 1

$ python main.py -l
Version number                         Mode                   Creation date
2.0                                    Experiment (latest)    2023-01-25 13:05:17
1.0                                    Production             2023-01-25 13:00:05
325d0618-6f9e-459b-9597-48fa93a57a23   Experiment             2023-01-25 12:20:56
26e56e84-9e7e-4a26-93f6-443d9aa541d9   Development            2023-01-25 12:20:33

$ python main.py --production
[2023-01-25 13:06:00,871][Taipy][INFO] job JOB_my_print_algo_1fcb6feb-cef1-46e0-a818-4ae2e58df57d is completed.
nb scenarios: 5

$ python main.py -l
Version number                         Mode                   Creation date
2.0                                    Production (latest)    2023-01-25 13:06:00
1.0                                    Production             2023-01-25 13:00:05
325d0618-6f9e-459b-9597-48fa93a57a23   Experiment             2023-01-25 12:20:56
26e56e84-9e7e-4a26-93f6-443d9aa541d9   Development            2023-01-25 12:20:33

As you can see, we first created an experiment version named 2.0. One scenario is attached to it. When listing the existing versions, we can see that 2.0 is the latest version used. So when running the Taipy application in production mode without providing the version, the latest is used and converted to production before running. Note that once the version is converted to production, the application accesses all production entities, including from older production versions.

Remove a production version

To remove a production version, you can run on your command line interface a Taipy application with the --delete-production-version VERSION option providing the version name.

$ python main.py --delete-production-version 2.0
Successfully delete version 2.0 from production version list.

$ python main.py -l
Version number                         Mode                   Creation date
2.0                                    Experiment (latest)    2023-01-25 13:06:00
1.0                                    Production             2023-01-25 13:00:05
325d0618-6f9e-459b-9597-48fa93a57a23   Experiment             2023-01-25 12:20:56
26e56e84-9e7e-4a26-93f6-443d9aa541d9   Development            2023-01-25 12:20:33

After running the commands above, version 2.0 is an experiment version again. It is no longer a production version.