Connor Ashcroft
04/18/2024, 2:15 PMMarvin
04/18/2024, 2:16 PMpip
. For example:
pip install prefect-<integration>
Replace <integration>
with the specific integration you're interested in.
2. Register the Blocks: After installation, you can register the blocks you want to use with Prefect Cloud or a Prefect Server. Assuming you're using Prefect Server Helm, the registration process is through the Prefect Server's API, which may be different from the registration process in Prefect Cloud, and may require you to use the Prefect Python client or directly interact with the server's GraphQL API.
3. Creating Custom Block Types: If you want to add custom block types, you will need to define a class that subclasses Block
. Here's a simplified example of creating a new custom block type:
python
from prefect.blocks.core import Block
class Cube(Block):
edge_length_inches: float
def get_volume(self):
return self.edge_length_inches ** 3
def get_surface_area(self):
return 6 * self.edge_length_inches ** 2
You would define your custom block, include any necessary methods, and then instantiate and save your block:
python
from prefect import flow
rubiks_cube = Cube(edge_length_inches=2.25)
rubiks_cube.save("rubiks-cube")
4. Use in Flows: After blocks are registered, you can access them both for configuring flow deployments and directly from within your flow code.
Unfortunately, the precise commands or steps for registering blocks with a Helm-deployed Prefect Server are not specified in the documentation I found, but you can use the general guide above as a starting point. For more detailed information, I would recommend checking the Prefect community Slack or forums, or consult the Prefect Server's API documentation.
Refer to the Prefect documentation on Blocks for general guidance on how to use blocks:
- Blocks in Prefect
For detailed instructions tailored to your Helm-deployed Prefect Server, you may need to look at specific documentation for the Helm chart or contact Prefect support.Connor Ashcroft
04/18/2024, 2:17 PMMarvin
04/18/2024, 2:18 PMpip install
directly as you would in a traditional Python environment. Instead, you would need to build the necessary Prefect integration into a Docker image that your Kubernetes cluster can run.
Here's an approach you can consider:
1. Create a Custom Docker Image: Start by creating a Docker image that includes the necessary Prefect integration. This typically involves writing a Dockerfile
that uses the official Prefect image as a base and then uses pip install
to include your desired packages.
2. Register Blocks: You can register blocks from a Python module using the Prefect CLI with commands such as:
prefect block register --module my_custom_blocks
Or, if a block has been created in a .py
file:
prefect block register --file my_block.py
This command is environment-specific, so you would need to run it in an environment where the Prefect CLI is installed and configured to communicate with your Prefect Server.
3. Update Helm Chart: Once your image is created, you would then configure your Helm chart to use this custom image for your workers or any other relevant Kubernetes resources that Prefect orchestrates.
Here are the high-level steps you'd typically follow:
- Write the Dockerfile with the necessary Prefect version and integrations.
- Build and push the Docker image to a registry that Kubernetes can access.
- Update your Helm chart to use your custom image instead of the default Prefect image.
- Deploy or update your Prefect resources using the updated Helm chart.
Please note that these are general instructions. Specifics will depend on the particularities of your Kubernetes environment, the integrations you're trying to add, and how you've configured your Prefect Server Helm chart.
For further information, here are a few relevant links:
- Blocks Catalog for prefect-gcp
- Blocks in Prefect
- Deploy a Worker Using Helm
However, this information is not exhaustive, and it's recommended to consult the Prefect documentation or Prefect community for the most appropriate procedures for your specific use case.Connor Ashcroft
04/18/2024, 2:29 PMMarvin
04/18/2024, 2:30 PMsh
kubectl port-forward --namespace <namespace> <prefect-server-pod> 4200:4200
2. Set Prefect API URL: Configure your local Prefect client to use the port-forwarded Prefect API server:
sh
prefect config set PREFECT_API_URL=<http://127.0.0.1:4200/api>
3. Install Integration Package: Use pip
within your local activated virtual environment to install the integration package. Make sure you replace <integration>
with the actual name of the package you want to install:
sh
pip install prefect-<integration>
4. Register Blocks: Register the new blocks with the Prefect Server. Make sure to replace <module_name>
with the actual name of the Python module that contains the block definitions:
sh
prefect block register --module <module_name>
Remember to adjust the placeholders <namespace>
, <prefect-server-pod>
, <integration>
, and <module_name>
with appropriate values for your environment.
By following these steps, your local Prefect client will register the new blocks with the Prefect Server so that they can be used within your workflows. Once the blocks are registered, they should be visible and configurable within the Prefect UI.