pyvider-cty 0.0.111

Pyvider Cty Package - Core data types and serialization.

🐍🏗️ pyvider.cty

⚠️ PREVIEW RELEASE ⚠️

This is a preview release of pyvider.cty. While the core functionality is complete and well-tested, this release is intended for early adopters and feedback gathering. Please report any issues or suggestions.

Overview

pyvider.cty is a pure-Python implementation of the go-cty type system, providing strong type validation and serialization capabilities for configuration data. It's designed to work seamlessly with Terraform providers and other HashiCorp ecosystem tools.

Features

• 🎯 Complete Type System: Primitives, collections, and structural types.
• 🔄 Cross-Language Compatibility: Interoperates with go-cty via JSON and MessagePack.
• 🛡️ Type Safety: Strong validation at value creation.
• 🏷️ Marks System: Attach metadata without modifying values.
• 🗺️ Path Navigation: Type-safe access to nested data.
• ⚡ Full Standard Library: A comprehensive suite of functions for data manipulation.

Installation

uv add pyvider-cty

Quick Start

from pyvider.cty import CtyObject, CtyString, CtyNumber, CtyList
from pyvider.cty.exceptions import CtyValidationError

# 1. Define a type schema for a user profile.
# 'age' is an optional attribute.
user_type = CtyObject(
    attribute_types={
        "name": CtyString(),
        "age": CtyNumber(),
        "hobbies": CtyList(element_type=CtyString())
    },
    optional_attributes={"age"}
)

# 2. Create raw Python data that matches the schema.
user_data = {
    "name": "Alice",
    "hobbies": ["reading", "hiking"]
}

# 3. Validate the data. This returns an immutable CtyValue.
try:
    user_val = user_type.validate(user_data)
    print("✅ Validation successful!")

    # 4. Access data from the CtyValue.
    # Accessing attributes returns another CtyValue. Use .raw_value to get the Python type.
    print(f"Name: {user_val['name'].raw_value}")

    # The optional 'age' attribute is present but is a null CtyValue.
    print(f"Age: {user_val['age'].raw_value} (Is Null: {user_val['age'].is_null})")

    print("Hobbies:")
    for hobby_val in user_val['hobbies']:
        print(f"- {hobby_val.raw_value}")

except CtyValidationError as e:
    print(f"❌ Validation failed: {e}")

Documentation

The complete user guide can be found in the docs/ directory, starting with the index.

Known Limitations

• Python 3.13+ Required: Due to advanced type features used.
• Performance: The library is not yet optimized for performance-critical applications involving very large or deeply nested data structures. Performance is reasonable for typical use cases.

Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

License

Apache License 2.0. See LICENSE for details.