Visualize POP hub/sub structures
Project description
POP hub and sub visualization tool
INSTALLATION
Bare installation with no dependencies
pip install pop-treeInstallation for pretty yaml output
pip install pop-tree\[rend\]Installation for incredible graphs
pip install pop-tree\[networkx\]Install everything
pip install pop-tree\[full\]INSTALLATION FOR DEVELOPMENT
Clone the pop-tree repo and install with pip
git clone https://gitlab.com/Akm0d/pop-tree.git
pip install -e pop-tree\[full\]Pop-doc
Another cli tool that comes with pop-tree is pop-doc. You can use this to grab the documentation for specific references on the hub.
pop-doc tree.init.refsoutput:
ref:
tree.init.refs
doc:
Return all the references available on the hub by reference first
contracts:
pre:
call:
post:
parameters:
hub:
tree:
annotation:
typing.Dict[str, typing.Any]
return_annotation:EXECUTION
After installation the pop-tree command should now be available.
Running pop-tree by itself will only show things that the pop-tree project added to the hub. Naming a dynamic namespace will add it’s dyne_name to the hub and show only that namespace
pop-tree execRECURSE
Adding the –recurse flag will recursively load all subs underneath the named dynamic namespace (in the first positional arugment)
pop-tree exec --recurseADD_SUB
Every positional argument after –add-sub will be added as a dyne_name to the hub
Example
pop-tree --add-sub idem grainsOUTPUT
If you installed pop-tree with the [rend] extras, then –output can be used to specify an outputter from the rend project To see which outputters are available, just run
pop-tree outputWhich will dynamically load the output dynamic namespace from the rend project and print the subs loaded immediately beneath it.
pop-tree --output nestedGRAPH
There are many different graphing plugins, some print to the terminal, and some open a shiny graph in a new window. To list the available graphing plugins, run
pop-tree graphA graph plugin can be specified with the –graph option.
pop-tree --graph networkxWhich should print off a beautiful matplotlib plot to visualize your pop ecosystem. Use these arguments together to create impressive visuals for your project.
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