Python Yaml to Dot Converter
Project description
Yaml2Dot
Python implementation of a yaml2dot converter. Now with JSON Support and enhcanched node customization!
Check out a demo at my personal page teamayejay.com/Adrian/Yaml2Dot.
Inspried by the original yml2dot.
The YAML to DOT Converter is a Python utility designed to transform YAML or JSON data into a visual graph representation, available in either the DOT (Graph Description Language) or JSON format. This tool employs NetworkX to construct the graph structure and offers the flexibility to produce either DOT files or JSON output in the form of node-link data.
Transform this data:
person:
name: Alice
age: 28
address:
street: 456 Elm St
city: Another Town
zip: '54321'
hobbies:
- reading
- hiking
into this easy to read graph(after rendering using d3-graphviz):
Table of Contents
Getting Started
Prerequisites
Before using the YAML to DOT Converter, ensure you have the following dependencies installed:
Installation
The most straightforward way to install is to use pip:
pip install yaml2dot
For a manual install you can setup a virtual environment and do the following:
pip install networkx pydot click
or clone the repository and navigate to the project directory:
pip install .
Usage
To convert a YAML/JSON file to a DOT file, use the following command:
yaml2dot --input-file INPUT_FILE --output-file OUTPUT_FILE [--rankdir RANKDIR] [--output-format OUTPUT_FORMAT] [--multi-view] [--round-robin] [--shape SHAPE]
- INPUT_FILE: Path to the input YAML/JSON file.
- OUTPUT_FILE: Path to the output DOT file.
- RANKDIR (optional): Rank direction (LR for left to right, TB for top to bottom). Default is LR.
- MULTI-VIEW (optional): Enable alternative graph view for multiple YAML documents.
- ROUND-ROBIN (optional): Enable round-robin node style selection. If not specified, defaults the rounded shape.
- SHAPE (optional): User-defined node shape, applicable when round-robin is not used. See Graphviz Shapes for supported shapes.
Example usage for conerting to DOT:
yaml2dot --input-file input.yaml --output-file output.dot --rankdir LR
Example usage for converting for node link data JSON:
yaml2dot --input-file input.json --output-file output.json --output-format json
Here's an example of how to use the library's API to convert YAML or JSON data:
from yaml2dot import data_loader,converter
# Load YAML or JSON data from a file
data = data_loader.load_yaml_or_json('input.yaml')
# or input a python dict directly
# data = {"example":"example"}
# Convert the data to DOT format (default)
dot_output = converter.convert_yaml_or_json_to_format(data)
# Convert the data to JSON format
json_output = converter.convert_yaml_or_json_to_format(data, output_format='json')
# Print or save the outputs as needed
print(dot_output)
print(json_output)
CLI Options
The yaml2dot command offers various options to customize the graph rendering:
--round-robin
: Automatically assigns different node shapes in a round-robin fashion for each YAML document.--shape
: Specify a custom shape for nodes. This option is ignored if --round-robin is used.--multi-view
: Useful for rendering multiple YAML documents in a single file with distinct node styles. Disables round-robin.
Examples
Sample YAML/JSON Files
The examples
directory contains several sample YAML files that you can use for testing and experimentation. These files cover various YAML structures and complexities. It also contain an example json file for testing and experimentation.
Rendering Example
To render a sample YAML/JSON file, use the following command:
yaml2dot --input-file examples/small_graph.yaml --output-file small_graph.dot --rankdir LR --shape diamond
This will generate a DOT file that can be visualized using Graphviz or other compatible tools.
To render to JSON format:
yaml2dot --input-file examples/small_graph.yaml --output-file small_graph.json --rankdir LR --output-format json
This will generate a node link data JSON file of the networkx graph that can be visualzied using d3.
For a round-robin node style in multi-document YAMLS:
yaml2dot --input-file examples/multi_document.yaml --output-file multi_document.dot --rankdir LR --multi-view --round-robin
Development
Contributing
Contributions are welcome! I don't have any formal contributing guidelines but since this is a fairly small project, feel free to send an informal message.
Dev Install
The fastest way to start developing is to clone the repository and run the following command:
pip install '.[all]'
Testing
Simply run:
pytest
License
This project is licensed under the MIT License. See the LICENSE file for details.
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