[I] Schema Deserialization Ignores Field initial-default and write-default Values [iceberg-python]

[via GitHub]

paulcichonski opened a new issue, #1431:
URL: https://github.com/apache/iceberg-python/issues/1431

   ### Apache Iceberg version
   
   0.8.1 (latest release)
   
   ### Please describe the bug 🐞
   
   I have a simple Iceberg schema that looks like:
   
   ```json
   {
     "type": "struct",
     "fields": [
       {
         "id": 1,
         "name": "foo",
         "type": "string",
         "required": false,
         "initial-default": "foo-initial-default",
         "write-default": "foo-write-default"
       }
     ],
     "schema-id": 1
   }
   ```
   
   If I attempt to deserialize this into a `pyiceberg.schema.Schema` instance, 
it ignores the `initial-default` and `write-default` attributes:
   
   ```python
   from pyiceberg.schema import Schema
   
   with open('/tmp/simple_schema.json', 'r') as f:
       s = Schema.model_validate_json(f.read())
   
   print(s.fields)  # prints (NestedField(field_id=1, name='foo', 
field_type=StringType(), required=False),)
   print(s.fields[0].initial_default)  # prints None
   print(s.fields[0].write_default)  # prints None
   ```
   
   Perhaps this is expected, but [looking at the 
code](https://github.com/apache/iceberg-python/blob/a051584a3684392d2db6556449eb299145d47d15/pyiceberg/types.py#L310-L311),
 it _seems_ like it should work.
   
   If this is indeed a bug (and not expected or user error), I can work on 
trying to figure out why it is happening and submit a fix. 
   
   ### Willingness to contribute
   
   - [X] I can contribute a fix for this bug independently
   - [X] I would be willing to contribute a fix for this bug with guidance from 
the Iceberg community
   - [ ] I cannot contribute a fix for this bug at this time


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