pyvaliddict-rj 1.0.0

Dictionary schema validation

validdict ✅

Dictionary schema validation for Python.

Installation

pip install validdict

Usage

from validdict import validate, String, Integer, Email, Boolean

data = {
    "name": "John Doe",
    "age": 30,
    "email": "[e-mail]",
    "active": True
}

schema = {
    "name": String(min_length=1, max_length=100),
    "age": Integer(min_value=0, max_value=150),
    "email": Email(required=False),
    "active": Boolean(default=True),
}

result = validate(data, schema)

Field Types

Field	Description
String	String with length/pattern validation
Integer	Integer with min/max validation
Float	Float with min/max validation
Boolean	Boolean value
List_	List with item type validation
Dict_	Nested dictionary
Email	Email format validation
Enum_	Value from allowed list

Field Options

# Required (default)
String()

# Optional with default
String(required=False, default="unknown")

# String constraints
String(min_length=1, max_length=100, pattern=r"^[a-z]+$")

# Number constraints
Integer(min_value=0, max_value=100)

# List with item validation
List_(item_type=String(), min_length=1)

# Nested schema
Dict_({
    "street": String(),
    "city": String(),
})

Error Handling

from validdict import validate, ValidationError

try:
    result = validate(data, schema)
except ValidationError as e:
    print(f"Validation failed: {e.message}")
    print(f"At path: {e.path}")

License

MIT