Alex Berndt
02/29/2024, 8:40 AMScout
02/29/2024, 8:40 AMconfigured
Method: Use the configured
method to pre-define resource configurations for different environments. This allows you to set up different credentials, connection strings, or file paths for local development and production environments.
3. Dynamic Environment Configuration: In your repository definition, dynamically select the appropriate resource configuration based on the environment. You can use environment variables or other mechanisms to determine the current environment and select the corresponding resource configuration.
4. Bind Resources to Assets: When defining your assets, bind them to the appropriate resource keys. This ensures that the assets will use the resources you've configured for the environment they're running in.
5. Environment Variables in Deployment: If you're using Dagster Cloud or deploying with Kubernetes, you can take advantage of environment variables to determine the current environment and configure your resources accordingly.
Here's a simplified example of how you might structure your code:
```python
from dagster import asset, repository, ResourceDefinition, configured
# Define a resource for writing data
class DataWriter:
def __init__(self, write_location):
self.write_location = write_location
def write(self, data):
# Logic to write data to the specified location
pass
# Create a local development configuration of the resource
local_data_writer = configured(DataWriter)({"write_location": "local/path"})
# Create a production configuration of the resource
prod_data_writer = configured(DataWriter)({"write_location": "production/path"})
# Define an asset that uses the data writer resource
@asset(required_resource_keys={"data_writer"})
def my_asset(context):
data = "some data"
context.resources.data_writer.write(data)
# Define a repository that selects the appropriate resource configuration
def get_current_env():
# Logic to determine the current environment
pass
@repository
def my_reposScout
02/29/2024, 8:41 AMDataWriter
resource is configured differently for local development and production. The my_asset
asset uses this resource to write data, and the my_repository
function dynamically selects the appropriate resource configuration based on the current environment. Remember to adjust the example to fit your specific use case and environment detection logic. This approach allows you to maintain a single codebase that behaves differently based on the environment it's running in, as recommended by the documentation.