semvec/pypi-packages huggingface dataset:
medali 0.2.8
medali is responsible for parsing, tagging and interpreting product metadata
License: mit
Keywords: Metadata

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medali
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*medali* stands for **ME**\ ta\ **DA**\ ta **LI**\ brary and is responsible for parsing, tagging and interpreting product metadata. 


Description
===========

*medali* should be a place to establish version-controlled metadata definitions to guarantee homogeneous reading and writing
of metadata within the scope of one product. It provides one module, the `core` module containing the class `MetaData`.
This class offers a simple interface to actual metadata items, which are defined with respect to reference metadata.
Such reference metadata can either be prepared manually as a dictionary or can be set in a configuration file.
For mature products, the configuration files are stored in the folder in "src/medali/lib" under a product ID and a metadata version.

The `Metadata` class offers the following functionality:

  * initialisation via a metadata dictionary (+ optionally a reference metadata dictionary), via a product ID and
    metadata version combination, or via a configuration file path
  * setting and encoding (from a given data type to a string) the given metadata items
  * returning and decoding (from a string to a given data type) the given metadata items
  * checking if given metadata meets the criteria defined in the reference metadata (e.g., if the value is within a list of allowed values or if the value contains a specific string, ...)

Installation
============

*medali* is a very light-weight package and has no dependencies. It can be installed via `pip`:

.. code-block:: bash

    pip install medali

Adding products
===============

A template configuration file for creating new reference metadata for a product can be found in the "templates" folder.
The file should be named according to the metadata version and should be placed in a sub-folder in "src/medali/lib" named after the product ID.
The reference metadata should have two sections:

- "Metadata": all needed tags and their data type (currently supported: string, boolean, datetime, integer, number)
- "Expected_value": should list metadata items that need to meet some specific criteria