pydantic exclude 2.4.0, 2.4.1

[sungwy]

Similar to apache/iceberg#8647, I think we would need to exclude 2.4.0, 2.4.1 here on the overall project's dependencies.

Given that pydantic has not de-shelved these faulty versions, we might not need to exclude them from the PyIceberg dependencies in order to prevent the dependency resolver from from installing pydantic 2.4.0 or 2.4.1

When pip installing pyiceberg 0.5.0 without version constraints, we see the following error on load_catalog function call:

KeyError                                  Traceback (most recent call last)
/tmp/ipykernel_252/2476882581.py in <cell line: 1>()
----> 1 from pyiceberg.catalog import load_catalog
      2 
      3 catalog = load_catalog("lacus")

/lib/python3.10/site-packages/pyiceberg/catalog/__init__.py in <module>
     40 from pyiceberg.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec
     41 from pyiceberg.schema import Schema
---> 42 from pyiceberg.serializers import ToOutputFile
     43 from pyiceberg.table import (
     44     CommitTableRequest,

/lib/python3.10/site-packages/pyiceberg/serializers.py in <module>
     23 
     24 from pyiceberg.io import InputFile, InputStream, OutputFile
---> 25 from pyiceberg.table.metadata import TableMetadata, TableMetadataUtil
     26 
     27 GZIP = "gzip"

/lib/python3.10/site-packages/pyiceberg/table/__init__.py in <module>
     69     visit,
     70 )
---> 71 from pyiceberg.table.metadata import INITIAL_SEQUENCE_NUMBER, TableMetadata
     72 from pyiceberg.table.snapshots import Snapshot, SnapshotLogEntry
     73 from pyiceberg.table.sorting import SortOrder

/lib/python3.10/site-packages/pyiceberg/table/metadata.py in <module>
    344 
    345 
--> 346 class TableMetadataV2(TableMetadataCommonFields, IcebergBaseModel):
    347     """Represents version 2 of the Table Metadata.
    348 

/lib/python3.10/site-packages/pydantic/_internal/_model_construction.py in __new__(mcs, cls_name, bases, namespace, __pydantic_generic_metadata__, __pydantic_reset_parent_namespace__, **kwargs)
    182             types_namespace = get_cls_types_namespace(cls, parent_namespace)
    183             set_model_fields(cls, bases, config_wrapper, types_namespace)
--> 184             complete_model_class(
    185                 cls,
    186                 cls_name,

/lib/python3.10/site-packages/pydantic/_internal/_model_construction.py in complete_model_class(cls, cls_name, config_wrapper, raise_errors, types_namespace)
    493         return False
    494 
--> 495     schema = apply_discriminators(simplify_schema_references(schema))
    496 
    497     # debug(schema)
    
/lib/python3.10/site-packages/pydantic/_internal/_core_utils.py in simplify_schema_references(schema)
    517         return s
    518 
--> 519     schema = walk_core_schema(schema, count_refs)
    520 
    521     assert all(c == 0 for c in state['current_recursion_ref_count'].values()), 'this is a bug! please report it'

/lib/python3.10/site-packages/pydantic/_internal/_core_utils.py in walk_core_schema(schema, f)
    437         core_schema.CoreSchema: A processed CoreSchema.
    438     """
--> 439     return f(schema, _dispatch)
    440 
    441 

/lib/python3.10/site-packages/pydantic/_internal/_core_utils.py in count_refs(s, recurse)
    513 
    514         state['current_recursion_ref_count'][ref] += 1
--> 515         recurse(state['definitions'][ref], count_refs)
    516         state['current_recursion_ref_count'][ref] -= 1
    517         return s

/lib/python3.10/site-packages/pydantic/_internal/_core_utils.py in walk(self, schema, f)
    213 
    214     def walk(self, schema: core_schema.CoreSchema, f: Walk) -> core_schema.CoreSchema:
--> 215         return f(schema, self._walk)
    216 
    217     def _walk(self, schema: core_schema.CoreSchema, f: Walk) -> core_schema.CoreSchema:

/lib/python3.10/site-packages/pydantic/_internal/_core_utils.py in count_refs(s, recurse)
    501 
    502         if s['type'] != 'definition-ref':
--> 503             return recurse(s, count_refs)
    504         ref = s['schema_ref']
    505         state['ref_counts'][ref] += 1
...
...
...
/lib/python3.10/site-packages/pydantic/_internal/_core_utils.py in walk(self, schema, f)
    213 
    214     def walk(self, schema: core_schema.CoreSchema, f: Walk) -> core_schema.CoreSchema:
--> 215         return f(schema, self._walk)
    216 
    217     def _walk(self, schema: core_schema.CoreSchema, f: Walk) -> core_schema.CoreSchema:

/lib/python3.10/site-packages/pydantic/_internal/_core_utils.py in count_refs(s, recurse)
    513 
    514         state['current_recursion_ref_count'][ref] += 1
--> 515         recurse(state['definitions'][ref], count_refs)
    516         state['current_recursion_ref_count'][ref] -= 1
    517         return s

KeyError: 'pyiceberg.types.NestedField:43624544'

[Fokko]

Great one @syun64 This will help other a lot 👍

[Fokko]

Thanks @syun64 👍

[sungwy]

Great one @syun64 This will help other a lot 👍

No problem! Just piggy-backing off from your investigation 👍