Typed Input

Effortless type-safe user input for integers, floats, dates, and more...

Installation

PyPI

pip install typed-input

uv

uv add typed-input

Supported Functions:

• int_input
• float_input
• decimal_input
• datetime_input

Each function has this structure:

<type>_input(
  prompt: str | None = None,
  min_value: <type> | None = None,
  max_value: <type> | None = None,
  default_value: <type> | None = None,
  type_error_message: str | None = None,
) -> <type>

Parameters:

• prompt: (Optional) Message displayed to the user when prompting for input.
• min_value / max_value: (Optional) Bounds for input validation.
• default_value: (Optional) Value returned if no input is provided. Must fall within bounds.
• type_error_message: (Optional) Error message shown when input cannot be converted to expected type. Defaults are provided for each function.

Default Type Error Messages:

Function	Default type_error_message
int_input	Error: You must enter a valid integer.
float_input	Error: You must enter a valid float.
decimal_input	Error: You must enter a valid Decimal.
datetime_input	Error: You must enter a valid datetime in valid ISO 8601 format e.g. YYYY-MM-DD. See documentation for all allowed options.

Seamless Input API Compatibility

The typed_input library is designed to feel natural for Python developers by supporting the same API as the standard input() function.

Example Usage (like input())

>>> from typed_input import int_input
>>> x = int_input()
a
Error: You must enter a valid integer.
42
>>> type(x)
<class 'int'>
>>> x
42

>>> from typed_input import float_input
>>> x = float_input()
3.14
>>> type(x)
<class 'float'>

>>> from typed_input import decimal_input
>>> x = decimal_input()
1.45
>>> type(x)
<class 'decimal.Decimal'>

>>> from typed_input import datetime_input
>>> dt = datetime_input()
2024-01-01
>>> type(dt)
<class 'datetime.datetime'>

Example with a prompt

Just like input(), you can also pass a prompt to guide the user:

>>> from typed_input import int_input
>>> int_input('Enter a number: ')
Enter a number: 7
7

This compatibility makes typed_input a drop-in replacement for input() in many scenarios, with the added benefit of type safety and validation!

More Examples Showing Range Validation

int_input for validated integer input

>>> from typed_input import int_input
>>> int_input(prompt="Enter a number (1-10): ", min_value=1, max_value=10)
Enter a number (1-10): abc
Error: You must enter a valid integer.
Enter a number (1-10): 20
Error: Value must be between 1 and 10.
Enter a number (1-10): 5
5

float_input for validated floating-point input

>>> from typed_input import float_input
>>> float_input(prompt="Enter a temperature (-50 to 50): ", min_value=-50.0, max_value=50.0)
Enter a temperature (-50 to 50): 
Error: You must enter a valid float.
Enter a temperature (-50 to 50): 100
Error: Value must be between -50.0 and 50.0.
Enter a temperature (-50 to 50): 22.5
22.5

decimal_input for validated decimal input

>>> from typed_input import decimal_input
>>> from decimal import Decimal
>>> decimal_input(prompt="Enter a price (min 0.01): ", min_value=Decimal("0.01"))
Enter a price (min 0.01): -10
Error: Value must be at least 0.01.
Enter a price (min 0.01): 19.99
Decimal('19.99')

datetime_input for validated datetime input

>>> from typed_input import datetime_input
>>> from datetime import datetime
>>> datetime_input(prompt="Enter a date (YYYY-MM-DD): ", min_value=datetime(2023, 1, 1))
Enter a date (YYYY-MM-DD): invalid
Error: You must enter a valid datetime in ISO 8601 format (e.g., YYYY-MM-DD).
Enter a date (YYYY-MM-DD): 2022-12-31
Error: Date must be on or after 2023-01-01.
Enter a date (YYYY-MM-DD): 2023-01-15
datetime.datetime(2023, 1, 15, 0, 0)

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❌ Error Handling

All functions raise a ValueError for:

• Invalid Range: min_value > max_value.
• Default Out of Bounds: default_value outside min_value/max_value.

Example:

>>> int_input(min_value=10, max_value=5)
Traceback (most recent call last):
  ...
ValueError: min_value (10) cannot be greater than max_value (5).

---

🛠️ Development

• Run formater:
  • uv run ruff check --select I --fix && uv run ruff format
• Run type checking:
  • uv run mypy .
• Run all unit tests:
  • uv run typed_input_test.py
• Run specific unit test:
  • uv run python -m unittest int_input_test.py