A CLI tool to perform syntactic and semantic validation of YAML files.
Project description
iac-validate
A CLI tool to perform syntactic and semantic validation of YAML files.
$ iac-validate -h
Usage: iac-validate [OPTIONS] [PATHS]...
A CLI tool to perform syntactic and semantic validation of YAML files.
Options:
--version Show the version and exit.
-v, --verbosity LVL Either CRITICAL, ERROR, WARNING, INFO or DEBUG
-s, --schema FILE Path to schema file. (optional, default:
'.schema.yaml', env: IAC_VALIDATE_SCHEMA)
-r, --rules DIRECTORY Path to semantic rules. (optional, default:
'.rules/', env: IAC_VALIDATE_RULES)
-o, --output FILE Write merged content from YAML files to a new YAML
file. (optional, env: IAC_VALIDATE_OUTPUT)
--non-strict Accept unexpected elements in YAML files.
-h, --help Show this message and exit.
Syntactic validation is done by basic YAML syntax validation (e.g., indentation) and by providing a Yamale schema and validating all YAML files against that schema. Semantic validation is done by providing a set of rules (implemented in Python) which are then validated against the YAML data. Every rule is implemented as a Python class and should be placed in a .py
file located in the --rules
path.
Each .py
file must have a single class named Rule
. This class must have the following attributes: id
, description
and severity
. It must implement a classmethod()
named match
that has a single function argument data
which is the data read from all YAML files. It should return a list of strings, one for each rule violation with a descriptive message. A sample rule can be found below.
class Rule:
id = "101"
description = "Verify child naming restrictions"
severity = "HIGH"
@classmethod
def match(cls, data):
results = []
try:
for child in data["root"]["children"]:
if child["name"] == "FORBIDDEN":
results.append("root.children.name" + " - " + str(child["name"]))
except KeyError:
pass
return results
Installation
Python 3.7+ is required to install iac-validate
. Don't have Python 3.7 or later? See Python 3 Installation & Setup Guide.
iac-validate
can be installed in a virtual environment using pip
:
pip install iac-validate
Pre-Commit Hook
The tool can be integrated via a pre-commit hook with the following config (.pre-commit-config.yaml
), assuming the default values (.schema.yaml
, .rules/
) are appropriate:
repos:
- repo: https://github.com/netascode/iac-validate
rev: v0.1.6
hooks:
- id: iac-validate
In case the schema or validation rules are located somewhere else the required CLI arguments can be added like this:
repos:
- repo: https://github.com/netascode/iac-validate
rev: v0.1.6
hooks:
- id: iac-validate
args:
- '-s'
- 'my_schema.yaml'
- '-r'
- 'rules/'
Ansible Vault Support
Values can be encrypted using Ansible Vault. This requires Ansible (ansible-vault
command) to be installed and the following two environment variables to be defined:
export ANSIBLE_VAULT_ID=dev
export ANSIBLE_VAULT_PASSWORD=Password123
ANSIBLE_VAULT_ID
is optional, and if not defined will be omitted.
Additional Tags
Reading Environment Variables
The !env
YAML tag can be used to read values from environment variables.
root:
name: !env VAR_NAME
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file iac_validate-0.2.6.tar.gz
.
File metadata
- Download URL: iac_validate-0.2.6.tar.gz
- Upload date:
- Size: 13.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-1025-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 399e67fcf2c5e52025a36d0e850e0d6873a48835f14fa8de20cc45722dcea53b |
|
MD5 | 38d55d4f7e6d0df88bdd26ac0599b868 |
|
BLAKE2b-256 | f408c02c78321a3c15ae7338812b9bc659cb61db0774f314c2bf8b6aa8c400cb |
File details
Details for the file iac_validate-0.2.6-py3-none-any.whl
.
File metadata
- Download URL: iac_validate-0.2.6-py3-none-any.whl
- Upload date:
- Size: 14.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-1025-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 45c8b3086eacf162cc592679b6e4c78f179061861b2886ef478047823a5b5b57 |
|
MD5 | 1ac77b3b955a9e0c0548f82ee4314ab3 |
|
BLAKE2b-256 | de1c18aac7dae59e31c88d87d768b0fa2c7c8150c3d50ff5d2b4192bfb01f9b4 |