Feature Request / Improvement
Make sure that the true/false expression can be serialized to JSON:
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class AlwaysTrue(BooleanExpression, Singleton): |
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"""TRUE expression.""" |
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def __invert__(self) -> AlwaysFalse: |
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"""Transform the Expression into its negated version.""" |
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return AlwaysFalse() |
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def __str__(self) -> str: |
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"""Return the string representation of the AlwaysTrue class.""" |
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return "AlwaysTrue()" |
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def __repr__(self) -> str: |
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"""Return the string representation of the AlwaysTrue class.""" |
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return "AlwaysTrue()" |
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class AlwaysFalse(BooleanExpression, Singleton): |
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"""FALSE expression.""" |
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def __invert__(self) -> AlwaysTrue: |
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"""Transform the Expression into its negated version.""" |
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return AlwaysTrue() |
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def __str__(self) -> str: |
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"""Return the string representation of the AlwaysFalse class.""" |
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return "AlwaysFalse()" |
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def __repr__(self) -> str: |
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"""Return the string representation of the AlwaysFalse class.""" |
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return "AlwaysFalse()" |
This is a special case, since it will not translate into an object, but to a string instead:
This so-called root-model (since it doesn't convert to an object), needs to set the root:
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class DayTransform(TimeTransform[S]): |
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"""Transforms a datetime value into a day value. |
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Example: |
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>>> transform = DayTransform() |
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>>> transform.transform(DateType())(17501) |
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17501 |
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""" |
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root: LiteralType["day"] = Field(default="day") # noqa: F821 |
We use Pydantic for JSON serialization, which can be enabled by deriving from the IcebergBaseModel:
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class PartitionSpec(IcebergBaseModel): |
Example tests can be found here:
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def test_serialize_partition_spec() -> None: |
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partitioned = PartitionSpec( |
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PartitionField(source_id=1, field_id=1000, transform=TruncateTransform(width=19), name="str_truncate"), |
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PartitionField(source_id=2, field_id=1001, transform=BucketTransform(num_buckets=25), name="int_bucket"), |
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spec_id=3, |
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) |
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assert ( |
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partitioned.model_dump_json() |
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== """{"spec-id":3,"fields":[{"source-id":1,"field-id":1000,"transform":"truncate[19]","name":"str_truncate"},{"source-id":2,"field-id":1001,"transform":"bucket[25]","name":"int_bucket"}]}""" |
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) |
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def test_deserialize_unpartition_spec() -> None: |
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json_partition_spec = """{"spec-id":0,"fields":[]}""" |
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spec = PartitionSpec.model_validate_json(json_partition_spec) |
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assert spec == PartitionSpec(spec_id=0) |
Feature Request / Improvement
Make sure that the
true/falseexpression can be serialized to JSON:iceberg-python/pyiceberg/expressions/__init__.py
Lines 365 to 394 in e5e7453
This is a special case, since it will not translate into an object, but to a string instead:
"true""false"This so-called root-model (since it doesn't convert to an object), needs to set the
root:iceberg-python/pyiceberg/transforms.py
Lines 579 to 588 in e5e7453
We use Pydantic for JSON serialization, which can be enabled by deriving from the
IcebergBaseModel:iceberg-python/pyiceberg/partitioning.py
Line 124 in e5e7453
Example tests can be found here:
iceberg-python/tests/table/test_partitioning.py
Lines 116 to 132 in e5e7453