JSON Schema (for) Network as Code: Build JSON schemas from (un)modified YAML files
Project description
JSNAC
JSON Schema (for) Network as Code
Overview
The majority of Network and Infrastructure automation is done in YAML. Be it Ansible Host Variables, Network Device data to build a Jinja2 configuration with, or just a collection of data you want to run a script against to put into another product you have likely written a YAML file and have had to debug a typo or had to help another colleague build a new file for a new device.
In an ideal world you can (and should) put a lot of this data into a database or Network Source of Truth solution and pull from it so the validation is done for you. However, these solutions don't cover every case and generally don't play nice with a GIT CI/CD process so you still will likely end up creating some YAML files here and there.
Using a JSON schema for validating your YAML is a good practice in a CI/CD world but is very cumbersome to create from scratch.
This project aims to simplify this whole process to help you build a decent JSON schema base from a YAML file with network and infrastructure data definitions in mind.
Now you can hopefully catch those rare mistakes before you run that Playbook, create that configuration with a Jinja2 template or run a REST query to that Source of Truth or Telemetry solution :)
Brief Example
Take a basic Ansible host_vars YAML file for a host below:
chassis:
hostname: "ceos-spine1"
model: "ceos"
type: "router"
system:
domain_name: "example.com"
ntp_servers: [ "10.0.0.1", "10.0.0.2" ]
interfaces:
- if: "Loopback0"
desc: "Underlay Loopback"
ipv4: "10.0.0.101/32"
ipv6: "2001:2:a1::1/128"
- if: "Ethernet0"
desc: "Management Interface"
ipv4: "10.1.0.20/24"
You can simply write out how you would like to validate this data, and this program will write out a JSON schema you can use. You can just also keep your existing data if you just want some basic type validation (string, integer, float, array, etc.).
chassis:
hostname:
jsnac_type: pattern
jsnac_pattern: "^ceos-[a-zA-Z]{1,16}[0-9]$"
model: "ceos"
type:
jsnac_type: choice
jsnac_choices: ["router", "switch", "spine", "leaf"]
system:
domain_name:
jsnac_type: domain
ntp_servers:
jsnac_type: ipv4
interfaces:
- if:
jsnac_type: string
desc:
jsnac_type: string
ipv4:
jsnac_type: ipv4_cidr
ipv6:
jsnac_type: ipv6_cidr
Alternatively, you can also just use dictionaries inplace:
chassis:
hostname: { jsnac_type: pattern, jsnac_pattern: "^ceos-[a-zA-Z]{1,16}[0-9]$" }
model: "ceos"
type: { jsnac_type: choice, jsnac_choices: ["router", "switch", "spine", "leaf"] }
system:
domain_name: { jsnac_type: domain }
ntp_servers: { jsnac_type: ipv4 }
interfaces:
- if: { jsnac_type: string }
desc: { jsnac_type: string }
ipv4: { jsnac_type: ipv4_cidr }
ipv6: { jsnac_type: ipv6_cidr }
A full list of jsnac_types is available in the documentation (readthedocs coming soon)
Usage
CLI
# Print the help message
jsnac -h
# Build a JSON schema from a YAML file (default file is jsnac.schema.json)
jsnac -f data/example-jsnac.yml
# Build a JSON schema from a YAML file and save it to a custom file
jsnac -f data/example-jsnac.yml -o my.schema.json
# Increase the verbosity of the output
jsnac -f data/example-jsnac.yml -v
Library
"""
This example demonstrates how to use the jsnac library to build a JSON schema from a YAML file in a Python script.
Example yml file is available here: <https://www.github.com/commitconfirmed/jsnac/blob/main/data/example-jsnac.yml>
"""
from jsnac.core.infer import SchemaInferer
def main():
# Create a SchemaInferer object
jsnac = SchemaInferer()
# Load the YAML data however you like into the SchemaInferer object
with open('data/example-jsnac.yml', 'r') as file:
data = file.read()
jsnac.add_yaml(data)
# Loading from JSON directly is also supported if needed
# jsnac.add_json(json_data)
# Build the JSON schema
schema = jsnac.build()
print(schema)
if __name__ == '__main__':
main()
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