pylib-validator 0.1.0

Validate Python objects with schema definitions. Perfect for API validation.

pyvalidator

Validate Python objects

Installation

pip install pyvalidator

💡 Usage Examples

Basic Operations

from pylib_validator import Schema, validate

# Define validation schema
schema = Schema({
    "name": lambda x: isinstance(x, str) and len(x) > 0,
    "age": lambda x: isinstance(x, int) and 0 < x < 150,
    "email": lambda x: "@" in str(x)
})

# Validate data
data = {"name": "John", "age": 30, "email": "[e-mail]"}
is_valid, errors = validate(data, schema)
# (True, [])

AI/ML Use Cases

from pylib_validator import Schema, validate

# Validate ML model inputs
input_schema = Schema({
    "features": lambda x: isinstance(x, list) and len(x) > 0,
    "model_type": lambda x: x in ["classification", "regression"]
})
is_valid, errors = validate(model_input, input_schema)

📚 API Reference

See package documentation for complete API reference.

🤖 AI Agent Friendly

This package is optimized for AI agents and code generation tools:

• Clear function names and signatures
• Comprehensive docstrings with examples
• Type hints for better IDE support
• Common use cases documented
• Zero dependencies for reliability

License

MIT