[RunConv][Backend] Integrate migrated TCK functions - simple [batch 1]

As a Data Preparation user, in Runtime Convergence mode,
I want to apply some simple functions
and run my preparation on a remote engine with a dataset as destination
In order to benefit from dataset common features (e.g. output connectivity, Quality, Trust Score, reuse it as input of a preparation or a pipeline)

Objective: Integrate migrated TCK functions in Data Preparation (development supported by DQ China) - Backend part

Why?

The Data Prep functions are migrated one by one to TCK (connectors-ee).
The adaptations have been implemented in Runtime Convergence track 2 to display in the playground only the functions available on the RE, using TCK Proxy.
When using a custom RE with the new migrated functions, the new migrated functions should appear in Data Preparation UI, but adaptations are needed in order to:

• Apply the function (and see it added to the preparation recipe)
• Run the preparation on the RE with this function

Scope: Batch 1 - simple functions
List of functions:

• ChangeNumberFormat
• Split
• Coalesce
• Normalize
• DurationConverter
• ComputeLength

(Full detail in follow-up sheet)

How?

• Implement converters in TDP PreparationV2 service for each migrated function
  • Implement mapping TCK -> TDP in order to add the function (see TDP-9836)
  • Implement mapping TDP -> TCK in order to build the pipeline to run the preparation on the RE using the migrated TCK function (see TDP-9927)
  • access to be granted to preparation common repository for DQ China (group dq_cn)

Inputs

• Function migration follow-up sheet: https://talend.app.box.com/file/820071687915 => new status to follow the integration: "Validation" -> "Ready to integrate" -> "Integration in progress" -> "Migrated"

Acceptance criteria

• Support and reviews for DQ China team activity - integration of TCK functions into Data Preparation (TDQ-19539)
• Full QA validation will be performed separately following the Engineering (integration tests & manual)

Target acceptance criteria (indicative)

In Runtime Convergence mode, for each function in the scope:

• Function is visible in Data Prep playground
• Function can be applied to the preparation (add function) -> step created and visible in the recipe
• Preparation can be run and output is conform to the expected behavior of the function

Scenario: Run a preparation with migrated function(s)
Given a tenant with Runtime Convergence activated and a RE with migrated functions,
a dataset dataset1 (ex: S3 or local connection)
and a dataset dataset2 created with name DATASET_OUTPUT_FULLRUN (ex: S3 or local connection)
and a preparation based on dataset1
When user applies the migrated function(s)
And presses the "Export" button
Then the preparation result is exported to dataset2 DATASET_OUTPUT_FULLRUN with the correct output (ex: check the sample)