potatochipcoconut opened a new issue, #1934:
URL: https://github.com/apache/iceberg-python/issues/1934
### Feature Request / Improvement
How difficult or feasible would it be to enable support for native Pydantic
schemas that automatically map to the underlying pyiceberg types etc?
e.g. I would like to define a schema as a regular pydantic model:
```
class Document(Schema):
id: int
name: str
confidence: float = 0.0
```
and have it automatically converted to:
```
Schema(
NestedField(
field_id=1,
field_type=IntegerType(),
name="id",
required=True,
),
NestedField(
field_id=2,
field_type=StringType(),
name="name",
required=True,
),
NestedField(
field_id=1,
field_type=FloatType(),
name="confidence",
required=False,
),
)
```
New to both pyiceberg and pydantic so not sure if this is possible or where
to start, thanks!
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