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|  How to Access Google Cloud Composer API in Python

How to Access Google Cloud Composer API in Python

October 31, 2024

Learn to interact with Google Cloud Composer API using Python. This step-by-step guide simplifies authentication and API requests for seamless cloud management.

How to Access Google Cloud Composer API in Python

 

Set Up Authentication

 

  • Ensure you have set up your Google Cloud environment for authentication. Whenever possible, use the Google Cloud SDK to handle authentication seamlessly.
  •  

  • Download the service account key file from your Google Cloud console and set the `GOOGLE_APPLICATION_CREDENTIALS` environment variable to the path of this file to authenticate your API requests.

 

import os

os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '/path/to/your/service-account-file.json'

 

Install the Required Python Client Library

 

  • Use pip to install the `google-cloud-orchestration-airflow` library, which is specifically designed for interacting with the Google Cloud Composer API.

 

pip install google-cloud-orchestration-airflow

 

Import Necessary Modules

 

  • Import classes and methods from the `google.cloud.orchestration.airflow.service_v1` module to interact with Composer environments.

 

from google.cloud.orchestration.airflow.service_v1 import environments
from google.cloud.orchestration.airflow.service_v1.types import GetEnvironmentRequest
from google.cloud.orchestration.airflow.service_v1.services.environment_service import EnvironmentServiceClient

 

Create a Client

 

  • Initialize an `EnvironmentServiceClient`, which is necessary to interact with the Composer environments.

 

client = EnvironmentServiceClient()

 

Access Composer Environment Info

 

  • Use the `GetEnvironmentRequest` method to fetch details about an existing Composer environment. You will need the environment's project ID, location (region), and environment ID for this.

 

project_id = 'your-project-id'
location = 'your-composer-region'
environment_id = 'your-environment-id'

name = f"projects/{project_id}/locations/{location}/environments/{environment_id}"

request = GetEnvironmentRequest(name=name)
response = client.get_environment(request=request)
print(response)

 

Error Handling

 

  • Wrap your API calls in try-except blocks to handle exceptions and errors gracefully. Modify behaviors based on the exception type. For example, handle invalid credentials or permission errors appropriately.

 

try:
    response = client.get_environment(request=request)
    print(response)
except Exception as e:
    print(f"An error occurred: {e}")

 

Advanced Configurations and Operations

 

  • Explore other advanced operations, such as creating or deleting environments, by referring to the library documentation and available methods.
  •  

  • Utilize the `update_environment` method for configuration changes.

 

from google.cloud.orchestration.airflow.service_v1.types import UpdateEnvironmentRequest, Environment
from google.protobuf.field_mask_pb2 import FieldMask

update_request = UpdateEnvironmentRequest(
    name=name,
    environment=Environment(config=dict(node_count=5)),
    update_mask=FieldMask(paths=["config.node_count"])
)

update_response = client.update_environment(request=update_request)
print("Environment update in progress:", update_response.name)

 

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