Comments (4)
See the current JSON representation here. Note the duplicated logging of nodes if they are children of other nodes. This JSON graph structure is probably not ideal, or at least, should be created from another structure of { nodes: [], edges: []}
.
It could be useful to use a more standard graph format. The most ideal would be:
- serializable (so it can belong to redux state)
- can be loaded into a nice graph api
Some links:
- GraphSON Format
- GraphSON Reader and Writer Library
- GraphSON file format parsing library using Node.js Streams
- SO: What is the most standard file format and notation for persisting expressive directed graphs?
- a GML file
Even OBO could work: this could have nodes for a file, which might have an edge "created_by" and "used_by" to different task nodes
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We now have this kind of structure and a simple graph visualization with d3, available at localhost:8084 when watermill is running. Though, it still lacks operationString
.
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Shall we close this? Of course graph visualization can be further improved but for now we have a simple DAG visualization tool.
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Yes lets close for now. We can always make an issue for more specific improvements.
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Related Issues (20)
- How can be a pipeline extended to deal with multiple samples? HOT 3
- Simple usage tutorial HOT 2
- Check if file is empty HOT 3
- add license type HOT 1
- Add support for cluster computing
- Multiple inputs for a task HOT 1
- "task binding" without hardcoded file suffixes HOT 1
- Refactor pipeline parsing HOT 2
- Refactor task definition HOT 3
- Improvements to visualization tool
- Tasks as npm modules HOT 1
- Streaming Between Tasks HOT 1
- Improve validators over input/output files HOT 1
- Through tasks not properly logging
- Execution of a pipeline following other pipeline
- Add insight dependency to anonymously report usage metrics
- Pipe task stdout/stderr to file
- Inline Scripts HOT 1
- Handle External Inputs
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