SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
Implement a simple DAG visualization feature to help users view task dependencies and execution flow. This visualization will make it easier to understand and debug complex DAG structures.
Proposed Solution:
Add a plot method in Dag:
Leverage pydot and graphviz for rendering the DAG.
Save the generated visualization as an image file (e.g., .png).
Display the image inline in Jupyter Notebooks if available.
Key implementation steps:
Extract nodes and edges using DFS to ensure unique node names.
Build the visualization graph by adding nodes and edges.
Provide optional file path for saving the visualization.
Requirements:
Check for pydot and graphviz installation before plotting, with clear installation instructions if missing.
Implement a simple DAG visualization feature to help users view task dependencies and execution flow. This visualization will make it easier to understand and debug complex DAG structures.
Proposed Solution:
Add a
plotmethod inDag:pydotandgraphvizfor rendering the DAG..png).Key implementation steps:
Requirements:
pydotandgraphvizinstallation before plotting, with clear installation instructions if missing.References:
Ray’s implementation of DAG visualization could serve as a useful reference for structuring this feature.