pyvider-components 0.3.31.post1

Standard Components for the Pyvider Framework

🧩🔧 Pyvider Components

Example components for the Pyvider Terraform provider framework

This repository provides a standard set of example components for the Pyvider framework, demonstrating how to build Terraform providers in Python.

✨ Key Features

• 📚 Learning Resources - Real-world examples of Pyvider components
• 🔧 Reusable Components - Data sources, resources, and functions ready to use
• 🧪 Test Patterns - Reference implementations for provider testing
• 🏗️ Build Templates - Fork and customize for your own providers

Quick Start

1. Install: uv add pyvider-components
2. Read the Documentation
3. Explore Examples

Getting Started

To use the pyvider-components provider, configure it in your Terraform project:

terraform {
  required_providers {
    pyvider = {
      source  = "local/providers/pyvider"
      version = ">= 0.0.0"  # For development/learning
      # For specific versions: version = "~> 0.1"
    }
  }
}

provider "pyvider" {
  # Provider configuration options go here
}

Documentation

• Documentation index
• Examples

Development

Quick Start

# Set up environment
uv sync

# Run common tasks
we run test       # Run tests
we run lint       # Check code
we run format     # Format code
we tasks          # See all available commands

See CLAUDE.md for detailed development instructions and architecture information.

pytest

Contributing

See CONTRIBUTING.md for contribution guidelines.

License

See LICENSE for license details.

What is pyvider-components?

pyvider-components is a learning and reference library that demonstrates how to build Terraform provider components using the Pyvider framework. It contains working examples of resources, data sources, and functions that you can:

• 📚 Learn from - See real-world examples of Pyvider components
• 🔍 Reference - Use as templates for your own providers
• 🧪 Test with - Try out Pyvider features without writing code
• 🏗️ Build on - Fork and customize for your needs

Note: This is primarily an example/learning library, not a production provider. For production use, the terraform-provider-pyvider packages these components into a deployable provider.

Relationship to terraform-provider-pyvider

┌─────────────────────────┐
│   pyvider (framework)   │  ← Core framework for building providers
└───────────┬─────────────┘
            │
            ├─────────────────────────────────────┐
            │                                     │
┌───────────▼─────────────┐     ┌───────────────▼──────────────┐
│   pyvider-components    │────▶│  terraform-provider-pyvider  │
│   (example library)     │     │  (pre-release/testing provider)      │
│                         │     │                              │
│  • Learning resources   │     │  • Uses components from ←    │
│  • Reference examples   │     │  • Packaged & tested         │
│  • Component demos      │     │  • Pre-release learning tool         │
└─────────────────────────┘     └──────────────────────────────┘

Key Difference:

• pyvider-components: Learn how to build components (this repo)
• terraform-provider-pyvider: Pre-release provider for testing and learning (terraform-provider-pyvider)

When to use pyvider-components

Use this repository when you want to:

✅ Learn how to build Pyvider providers ✅ See working examples of resources, data sources, and functions ✅ Experiment with Pyvider features ✅ Reference implementation patterns ✅ Build your own custom provider

When to use terraform-provider-pyvider

Use the provider when you want to:

✅ Learn and experiment with Pyvider in Terraform ✅ Test provider functions and resources ✅ Follow a getting started tutorial ✅ Build sample configurations

---

Part of the provide.io Ecosystem

This project is part of a larger ecosystem of tools for Python and Terraform development.

View Ecosystem Overview →

Understand how provide-foundation, pyvider, flavorpack, and other projects work together.

---

Components

Data Sources

• pyvider_env_variables: Provides access to environment variables.
• pyvider_file_info: Provides metadata about a file or directory.
• pyvider_http_api: Makes an HTTP request and returns the response.
• pyvider_lens_jq: Transforms data using a JQ expression.

Resources

• pyvider_file_content: Manages the content of a file.
• pyvider_local_directory: Manages a directory on the local filesystem.
• pyvider_private_state_verifier: Verifies the private state of a resource (for testing).
• pyvider_timed_token: Manages a short-lived token (for testing).
• pyvider_warning_example: Demonstrates how to return warnings (for testing).

Functions

A rich set of utility functions are provided for common data manipulations.

• Numeric: add, subtract, multiply, divide, sum, min, max, round
• String: upper, lower, split, join, replace, format, truncate, format_size, pluralize, to_snake_case, to_kebab_case, to_camel_case
• Collection: length, contains, lookup
• Type Conversion: tostring
• Transformation: lens_jq

Examples

Read Environment Variables

data "pyvider_env_variables" "shell" {
  keys = ["SHELL"]
}

output "shell_path" {
  value = data.pyvider_env_variables.shell.values["SHELL"]
}

Manage a File

resource "pyvider_file_content" "example" {
  filename = "/tmp/example.txt"
  content  = "This file is managed by Terraform."
}

output "file_hash" {
  value = pyvider_file_content.example.content_hash
}

Use a String Function

output "uppercase_example" {
  value = provider::pyvider::upper("hello world")
}

Copyright (c) provide.io LLC.