Gowthami03B commented on code in PR #614:
URL: https://github.com/apache/iceberg-python/pull/614#discussion_r1636801371


##########
pyiceberg/table/__init__.py:
##########
@@ -3537,6 +3537,106 @@ def update_partitions_map(
             schema=table_schema,
         )
 
+    def files(self, snapshot_id: Optional[int] = None) -> "pa.Table":
+        import pyarrow as pa
+
+        from pyiceberg.io.pyarrow import schema_to_pyarrow
+
+        schema = self.tbl.metadata.schema()
+        readable_metrics_struct = []
+
+        def _readable_metrics_struct(bound_type: PrimitiveType) -> 
pa.StructType:
+            pa_bound_type = schema_to_pyarrow(bound_type)
+            return pa.struct([
+                pa.field("column_size", pa.int64(), nullable=True),
+                pa.field("value_count", pa.int64(), nullable=True),
+                pa.field("null_value_count", pa.int64(), nullable=True),
+                pa.field("nan_value_count", pa.int64(), nullable=True),
+                pa.field("lower_bound", pa_bound_type, nullable=True),
+                pa.field("upper_bound", pa_bound_type, nullable=True),
+            ])
+
+        for field in self.tbl.metadata.schema().fields:
+            readable_metrics_struct.append(
+                pa.field(schema.find_column_name(field.field_id), 
_readable_metrics_struct(field.field_type), nullable=False)
+            )
+
+        files_schema = pa.schema([
+            pa.field('content', pa.int8(), nullable=False),
+            pa.field('file_path', pa.string(), nullable=False),
+            pa.field('file_format', pa.dictionary(pa.int32(), pa.string()), 
nullable=False),
+            pa.field('spec_id', pa.int32(), nullable=False),
+            pa.field('record_count', pa.int64(), nullable=False),
+            pa.field('file_size_in_bytes', pa.int64(), nullable=False),
+            pa.field('column_sizes', pa.map_(pa.int32(), pa.int64()), 
nullable=True),
+            pa.field('value_counts', pa.map_(pa.int32(), pa.int64()), 
nullable=True),
+            pa.field('null_value_counts', pa.map_(pa.int32(), pa.int64()), 
nullable=True),
+            pa.field('nan_value_counts', pa.map_(pa.int32(), pa.int64()), 
nullable=True),
+            pa.field('lower_bounds', pa.map_(pa.int32(), pa.binary()), 
nullable=True),
+            pa.field('upper_bounds', pa.map_(pa.int32(), pa.binary()), 
nullable=True),
+            pa.field('key_metadata', pa.binary(), nullable=True),
+            pa.field('split_offsets', pa.list_(pa.int64()), nullable=True),
+            pa.field('equality_ids', pa.list_(pa.int32()), nullable=True),
+            pa.field('sort_order_id', pa.int32(), nullable=True),
+            pa.field('readable_metrics', pa.struct(readable_metrics_struct), 
nullable=True),
+        ])
+
+        files = []
+
+        snapshot = self._get_snapshot(snapshot_id)

Review Comment:
   It makes sense to me!! @Fokko , any thoughts?



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