pyvider-components 0.0.1026

Standard Components for the Pyvider Framework

Pyvider Components

This repository provides a standard set of components for the Pyvider framework, a Python-based framework for building Terraform providers.

Components

The following components are available:

Data Sources

• pyvider_env_variables: Provides access to environment variables.
• pyvider_file_info: Provides information about a file.
• 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.
• pyvider_timed_token: Manages a timed token.
• pyvider_warning_example: An example resource that demonstrates how to return warnings.

Functions

Numeric Functions

• add: Adds two numbers.
• subtract: Subtracts two numbers.
• multiply: Multiplies two numbers.
• divide: Divides two numbers.
• sum: Sums a list of numbers.
• min: Returns the minimum of a list of numbers.
• max: Returns the maximum of a list of numbers.
• round: Rounds a number to specified precision.

String Functions

• upper: Converts a string to uppercase.
• lower: Converts a string to lowercase.
• split: Splits a string into a list of strings.
• join: Joins a list of strings.
• replace: Replaces a substring in a string.
• format: Formats a string using positional arguments.
• truncate: Truncates text to specified length.
• format_size: Formats bytes as human-readable size.
• pluralize: Pluralizes a word based on count.
• to_snake_case: Converts a string to snake_case.
• to_kebab_case: Converts a string to kebab-case.
• to_camel_case: Converts a string to camelCase.

Collection Functions

• length: Returns the length of a string, list, or map.
• contains: Checks if a list contains a given element.
• lookup: Looks up a value in a map.

Type Conversion Functions

• tostring: Converts any value to a string.

Transformation Functions

• lens_jq: Transforms data using a JQ expression.

Getting Started

To use the pyvider-components provider, you need to configure it in your Terraform project.

terraform {
  required_providers {
    pyvider = {
      source  = "local/providers/pyvider"
      version = "0.1.0"
    }
  }
}

provider "pyvider" {
  # Configuration options here
}

Examples

Here are a few examples of how to use the components:

pyvider_env_variables

# Filter by a specific list of keys
data "pyvider_env_variables" "by_keys" {
  keys = ["TEST_VAR1", "TEST_VAR2", "TEST_SENSITIVE_TOKEN", "NON_EXISTENT_VAR"]
}

output "by_keys_result" {
  description = "Result of filtering by specific keys."
  value       = data.pyvider_env_variables.by_keys.values
}

pyvider_file_content

# Create file
resource "pyvider_file_content" "test_create" {
  filename = "/tmp/pyvider_test_create.txt"
  content  = "This is a test file created by Pyvider"
}

output "created_file" {
  value = {
    filename = pyvider_file_content.test_create.filename
    content = pyvider_file_content.test_create.content
    exists = pyvider_file_content.test_create.exists
    content_hash = pyvider_file_content.test_create.content_hash
  }
}

upper function

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

Development

To contribute to the development of the pyvider-components provider, you need to set up the development environment.

Environment Setup

# Set up the development environment (creates virtual env, installs dependencies)
uv sync

Testing

# Run all tests
pytest

Building

# Build the package
uv build