infrahub-managing-transforms

name	infrahub-managing-transforms
description	Creates Infrahub transforms that convert data into JSON, text, CSV, or device configs using Python or Jinja2 templates. TRIGGER when: building config generation, data export, format conversion, Jinja2 templates, artifact pipelines. DO NOT TRIGGER when: designing schemas, writing validation checks, creating generators, querying live data.
allowed-tools	["Read","Write","Edit","Bash","Grep"]
argument-hint	[transform-name] [format]
metadata	{"version":"1.2.4","author":"OpsMill"}

Infrahub Transform Creator

Overview

Expert guidance for creating Infrahub transforms. Transforms convert Infrahub data into different formats -- JSON, text, CSV, device configs, or any text-based output -- using Python classes or Jinja2 templates.

Project Context

Infrahub config: !cat .infrahub.yml 2>/dev/null || echo "No .infrahub.yml found"

Existing transforms: !find . -name "*.py" -path "*/transforms/*" -o -name "*.j2" -path "*/templates/*" 2>/dev/null | head -20

When to Use

• Building data transformations (Infrahub data -> another format)
• Generating device configurations from infrastructure data
• Creating CSV reports, cable matrices, or inventory exports
• Rendering Jinja2 templates with query data
• Combining Python logic with Jinja2 rendering
• Connecting transforms to artifacts for automated output

Rule Categories

Priority	Category	Prefix	Description
CRITICAL	Types	types-	Python vs Jinja2 choice
CRITICAL	Python	python-	InfrahubTransform class
CRITICAL	Jinja2	jinja2-	Template syntax, filters
HIGH	Hybrid	hybrid-	Python + Jinja2 combined
HIGH	Artifacts	artifacts-	Output files, targets
HIGH	API Ref	api-	Class attrs, methods
MEDIUM	Patterns	patterns-	Utilities, CSV, shared
LOW	Testing	testing-	Transform/render commands

Transform Basics

Two types of transforms:

Type	Output	Entry Point
Python	JSON/dict or text	InfrahubTransform.transform()
Jinja2	Text	.j2 template file

from infrahub_sdk.transforms import InfrahubTransform

class MyTransform(InfrahubTransform):
    query = "my_query"

    async def transform(self, data: dict) -> dict:
        device = data["DcimDevice"]["edges"][0]["node"]
        return {"hostname": device["name"]["value"]}

Workflow

Follow these steps when creating a transform:

1. Choose the transform type — Python for JSON/dict or complex logic, Jinja2 for text templates, hybrid for both. Read rules/types-overview.md.
2. Write the GraphQL query — Create a .gql file that fetches the data to transform. Read ../infrahub-common/graphql-queries.md for query patterns.
3. Implement the transform — For Python, inherit from InfrahubTransform and implement transform(). Read rules/python-transform.md. For Jinja2, create a .j2 template. Read rules/jinja2-template.md. For hybrid, read rules/hybrid-python-jinja2.md.
4. Connect to artifacts — If the transform output should be stored as a file, configure artifact definitions. See rules/artifacts-definitions.md.
5. Register in .infrahub.yml — Add under python_transforms or jinja2_transforms. See rules/api-reference.md.
6. Test — Run infrahubctl transform or infrahubctl render. See rules/testing-commands.md.

Supporting References

• examples.md -- Complete transform patterns (Python, Jinja2, hybrid, CSV)
• ../infrahub-common/graphql-queries.md -- GraphQL query writing reference
• infrahub-yml-reference.md -- .infrahub.yml project configuration
• ../infrahub-common/rules/ -- Shared rules (git integration, caching) across all skills
• ../infrahub-managing-schemas/SKILL.md -- Schema definitions transforms work with
• rules/ -- Individual rules by category