billowy-glass-15228
10/25/2024, 9:30 AMjolly-florist-66728
10/25/2024, 9:30 AMbillowy-glass-15228
10/25/2024, 9:31 AMflytectl
does not support mounting local drives directly when starting a demo cluster. You can manually start the sandbox container to achieve this. I would like more detailbillowy-glass-15228
10/25/2024, 9:32 AMflytectl
does not support mounting local drives directly when starting a demo cluster. But it is possible to manually start the sandbox container to achieve this. I would like more detailsjolly-florist-66728
10/25/2024, 9:32 AMflytectl
and use Docker commands directly. Here's a step-by-step guide:
1. Pull the Flyte Sandbox Image: First, ensure you have the Flyte sandbox image. You can pull it using Docker:
docker pull cr.flyte.org/flyteorg/flyte-sandbox-bundled:latest
2. Run the Docker Container with Volume Mount: Use the docker run
command to start the sandbox container and mount your local directory. Replace /path/to/local/dir
with the path you want to mount and /path/in/container
with the path inside the container where you want it mounted.
docker run -d --name flyte-sandbox -v /path/to/local/dir:/path/in/container cr.flyte.org/flyteorg/flyte-sandbox-bundled:latest
3. Access the Container: You can now access the container and verify the mounted volume:
docker exec -it flyte-sandbox /bin/bash
4. Verify the Mount: Inside the container, navigate to /path/in/container
to ensure your local directory is correctly mounted.
This approach allows you to manually control the container setup and include any specific configurations you need, such as mounting local directories.
Would you like more details on any specific step?
Sources:
- Flyte Discussion on Custom Containers 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.billowy-glass-15228
10/25/2024, 9:40 AMjolly-florist-66728
10/25/2024, 9:40 AMdocker pull cr.flyte.org/flyteorg/flyte-sandbox-bundled:latest
2. Run the Docker Container with Volume Mount: Use the docker run
command to start the sandbox container and mount your local directory. Replace /path/to/local/dir
with the path you want to mount and /path/in/container
with the path inside the container where you want it mounted.
docker run -d --name flyte-sandbox -v /path/to/local/dir:/path/in/container cr.flyte.org/flyteorg/flyte-sandbox-bundled:latest
3. Access the Container: You can now access the container and verify the mounted volume:
docker exec -it flyte-sandbox /bin/bash
4. Verify the Mount: Inside the container, navigate to /path/in/container
to ensure your local directory is correctly mounted.
This method allows you to manually set up the Flyte sandbox with your local disk mounted, providing flexibility for custom configurations.
Would you like more details on any specific step?
Sources:
- Flyte Discussion on Custom Containers 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.billowy-glass-15228
10/25/2024, 9:42 AMbillowy-glass-15228
10/25/2024, 9:42 AMjolly-florist-66728
10/25/2024, 9:42 AMhttp://localhost:30080/console
. Open this URL in your web browser to access the Flyte console.
3. Verify the Setup: If you encounter any issues accessing the UI, ensure that the Docker container is running and that the ports are correctly mapped. You can check the container status with:
docker ps
If you need more detailed instructions or encounter issues, let me know!
Sources:
- Flyte Sandbox Documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.billowy-glass-15228
10/25/2024, 9:43 AMjolly-florist-66728
10/25/2024, 9:43 AMhttp://localhost:30080/console
.
2. Navigate to Your Project Directory: Open a terminal and navigate to the directory containing your Flyte project and workflows.
3. Register Your Workflows: Use the pyflyte register
command to register your workflows with the Flyte cluster. This command will serialize and upload your workflows to the cluster.
pyflyte register workflows
4. Run the Workflow: Use the pyflyte run
command to execute a workflow. Replace example.py
with your workflow script and wf
with the workflow function name.
pyflyte run --remote workflows/example.py wf --name "YourWorkflowName"
5. Monitor Execution: You can monitor the execution of your workflow in the Flyte console by navigating to the executions section.
Would you like more details on any specific step?
Sources:
- Flyte Fundamentals: Registering Workflows
- Running a Workflow Locally 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.billowy-glass-15228
10/25/2024, 9:48 AMjolly-florist-66728
10/25/2024, 9:48 AMdocker ps -a
2. Inspect Logs: If the container is stopped, inspect the logs to identify the cause of the failure:
docker logs flyte-sandbox
3. Restart the Container: If the issue is resolved, you can try restarting the container:
docker start flyte-sandbox
4. Check for Port Conflicts: Ensure that there are no port conflicts, especially with port 6443, which is commonly used by Kubernetes. You can check which process is using a port with:
sudo lsof -i:6443
5. Recreate the Container: If the container continues to fail, consider removing and recreating it:
docker rm flyte-sandbox
docker run -d --name flyte-sandbox -v /path/to/local/dir:/path/in/container cr.flyte.org/flyteorg/flyte-sandbox-bundled:latest
Would you like more details on any specific step?
Sources:
- Flyte Sandbox Troubleshooting 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.billowy-glass-15228
10/25/2024, 9:52 AMjolly-florist-66728
10/25/2024, 9:52 AMdocker inspect flyte-sandbox --format='{{.State.ExitCode}}'
2. Check Docker Daemon Logs: Sometimes, the issue might be with the Docker daemon itself. Check the Docker daemon logs for any errors:
sudo journalctl -u docker.service
3. Recreate the Container with Debugging: Remove the existing container and recreate it with a different entrypoint to keep it running for debugging:
docker rm flyte-sandbox
docker run -it --name flyte-sandbox --entrypoint /bin/bash cr.flyte.org/flyteorg/flyte-sandbox-bundled:latest
4. Verify Docker Resources: Ensure that Docker has sufficient resources allocated (e.g., memory, CPU). You can adjust these settings in Docker Desktop preferences.
5. Check for Port Conflicts: Ensure no other services are using the ports required by Flyte. You can use:
sudo lsof -i:6443
Would you like more details on any specific step?
Sources:
- Flyte Sandbox Troubleshooting 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.billowy-glass-15228
10/25/2024, 9:58 AMjolly-florist-66728
10/25/2024, 9:58 AM/bin/bash
shell is not available in the Flyte sandbox image. Here's how you can address this:
1. Use the Correct Entrypoint: Instead of using /bin/bash
, try using /bin/sh
or the default entrypoint of the container. You can start the container with an interactive shell using:
docker run -it --name flyte-sandbox --entrypoint /bin/sh cr.flyte.org/flyteorg/flyte-sandbox-bundled:latest
2. Check the Dockerfile: If you have access to the Dockerfile or documentation for the Flyte sandbox image, verify the available shells or entrypoints.
3. Verify the Image: Ensure you are using the correct and latest Flyte sandbox image. Pull the latest image to ensure you have the most recent version:
docker pull cr.flyte.org/flyteorg/flyte-sandbox-bundled:latest
4. Inspect the Image: You can inspect the image to see the available files and entrypoints:
docker image inspect cr.flyte.org/flyteorg/flyte-sandbox-bundled:latest
If these steps do not resolve the issue, please provide more details about the image or any custom configurations you are using.
If this doesn't help, please reach out to the Flyte support team for further assistance. 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.billowy-glass-15228
10/25/2024, 10:02 AMjolly-florist-66728
10/25/2024, 10:02 AM/entrypoint.sh
2. Verify Services: Ensure that all necessary services are running. You can check the status of services using:
ps aux
3. Access Flyte UI: Once the services are running, you should be able to access the Flyte UI at http://localhost:30080/console
from your host machine.
4. Run Workflows: With the services running, you can now register and execute workflows using pyflyte
or flytectl
from your host machine.
If you encounter any issues or need further assistance, please let me know!
Sources:
- Flyte Sandbox Documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.billowy-glass-15228
10/25/2024, 10:05 AMjolly-florist-66728
10/25/2024, 10:05 AM/entrypoint.sh
script in the container, you can manually start the Flyte services by following these general steps:
1. Identify Service Start Commands: You need to know the commands to start each Flyte service (e.g., FlyteAdmin, FlytePropeller, FlyteConsole). These commands are typically specified in the Dockerfile or documentation for the Flyte sandbox image.
2. Start Services Manually: Use the appropriate commands to start each service. For example, you might need to start a service using a command like:
flyteadmin start
flytepropeller start
flyteconsole start
3. Check Service Status: After starting the services, verify that they are running correctly. You can use:
ps aux
4. Access Flyte UI: Once the services are running, you should be able to access the Flyte UI at http://localhost:30080/console
from your host machine.
5. Consult Documentation: If you are unsure of the exact commands, consult the Flyte documentation or Dockerfile for the sandbox image to find the correct service start commands.
If you need more specific guidance or encounter issues, please provide more details about the image or any custom configurations you are using.
Sources:
- https://docs.flyte.org/en/latest/deployment/sandbox.html
- https://github.com/flyteorg/flyte/issues/1944 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.