Code Generation for Connections

Code Generation for Connections#

For connections, you can use the ibm_watsonx_data_integration.codegen.generator.PythonGenerator class to automate the transformation.

Prerequisites#

To properly generate a script, you will need a correctly configured authenticator class (for example: IAMAuthenticator).

Masking Authentication Credentials#

The part of the generated script will include the creation of an authenticator object based on the one you have configured. By default, the sensitive values, such as api keys, will be replaced with environment variables. If you would like to include sensitive credentials in your script, you can pass mask_credentials=False into the constructor of ibm_watsonx_data_integration.codegen.generator.PythonGenerator.

If you do choose to leave the credentials masked, you can expect the following environment variables to replace their corresponding credentials:

Example usage#

The example below demonstrates how to regenerate Python SDK code from Connection class fetched directly from a project.

>>> from ibm_watsonx_data_integration.codegen import PythonGenerator
>>>
>>> connection_name
'db2 connection'
>>>
>>> connection = project.connections.get(name=connection_name)
>>> connection
Connection(name='db2 connection')
>>>
>>> generator = PythonGenerator(
...     source=connection,
...     destination='/tmp/output.py',
...     auth=auth,  # pragma: allowlist secret
...     base_api_url='https://api.ca-tor.dai.cloud.ibm.com'
... )
>>> generator.save()
PosixPath('/tmp/output.py')

Example Output#

The following is an example of the output saved to /tmp/output.py

import os
from ibm_watsonx_data_integration import Platform
from ibm_watsonx_data_integration.common.auth import IAMAuthenticator
auth = IAMAuthenticator( # pragma: allowlist secret
    api_key=os.getenv('IBM_CLOUD_API_KEY'),
    base_auth_url='https://cloud.ibm.com',
)
platform = Platform(
    auth=auth, # pragma: allowlist secret
    base_url='https://cloud.ibm.com',
    base_api_url='https://api.ca-tor.dai.cloud.ibm.com',
)
project = platform.projects.get(project_id='29c07359-c05b-4868-aa95-381e03d568e0')
connection = project.create_connection(
    name='db2-conn',
    datasource_type=platform.datasources.get(datasource_id='8c1a4480-1c29-4b33-9086-9cb799d7b157'),
    description='',
    properties={
        'database': 'mydatabase',
        'password': 'mypassword', # pragma: allowlist secret
        'port': '3000',
        'username_password_security': 'default',
        'host': 'myhost',
        'ssl': 'false',
        'username_password_encryption': 'default',
        'username': 'myusername'
    }
)