.. _auto_string_sanitize:

*SANITIZE A STRING TO REMOVE NON ALPHANUMERIC CHARACTERS*
=========================================================

Sanitizes a string by stripping all non-alphanumeric characters, returning a clean alphanumeric-only version. Use this worker to normalize labels, identifiers, or file-name components before downstream processing.

When to use
-----------

Classification: **process**.

Tagged: ``"``, ``a``, ``c``, ``e``, ``f``, ``g``, ``h``, ``i``.

Inputs
------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20 20 20

   * - Label
     - ID
     - Type
     - Default
     - Required
     - Description
   * - String To Be Sanitized
     - str
     - scalar
     - —
     - ✓
     - The raw input string to sanitize; any character that is not a letter or digit will be removed from the result.

Outputs
-------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20

   * - Label
     - ID
     - Type
     - Description
   * - string_sprintf_output_1
     - string_sprintf_output_1
     - scalar
     - The sanitized string containing only alphanumeric characters, with all other characters stripped out.

Disciplines
-----------

- data.dataset.transform

Runnable example
----------------

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: `/api/workflow/example?id=string_sanitize <https://www.d3view.com/api/workflow/example?id=string_sanitize>`_

.. raw:: html

   <hr style="margin-top:2em">
   <p style="font-size:11px;color:#888">
   Auto-generated from <code>transformation</code> schema. Worker id: <code>string_sanitize</code>. Schema hash: <code>42321dce0e57</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>