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# Licensed to the Apache Software Foundation (ASF) under one
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# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
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# pylint:disable=redefined-outer-name
import inspect
from copy import copy
from enum import Enum
from tempfile import TemporaryDirectory
from typing import Any, List
import pytest
from fastavro import reader
from pyiceberg.avro.codecs import AvroCompressionCodec
from pyiceberg.catalog import Catalog, load_catalog
from pyiceberg.io.pyarrow import PyArrowFileIO
from pyiceberg.manifest import DataFile, write_manifest
from pyiceberg.table import Table
from pyiceberg.typedef import Record
from pyiceberg.utils.lazydict import LazyDict
# helper function to serialize our objects to dicts to enable
# direct comparison with the dicts returned by fastavro
def todict(obj: Any, spec_keys: List[str]) -> Any:
if type(obj) is Record:
return {key: obj[pos] for key, pos in zip(spec_keys, range(len(obj)))}
if isinstance(obj, dict) or isinstance(obj, LazyDict):
data = []
for k, v in obj.items():
data.append({"key": k, "value": v})
return data
elif isinstance(obj, Enum):
return obj.value
elif hasattr(obj, "__iter__") and not isinstance(obj, str) and not isinstance(obj, bytes):
return [todict(v, spec_keys) for v in obj]
elif hasattr(obj, "__dict__"):
return {
key: todict(value, spec_keys)
for key, value in inspect.getmembers(obj)
if not callable(value) and not key.startswith("_")
}
else:
return obj
@pytest.fixture()
def catalog() -> Catalog:
return load_catalog(
"local",
**{
"type": "rest",
"uri": "http://localhost:8181",
"s3.endpoint": "http://localhost:9000",
"s3.access-key-id": "admin",
"s3.secret-access-key": "password",
},
)
@pytest.fixture()
def table_test_all_types(catalog: Catalog) -> Table:
return catalog.load_table("default.test_all_types")
@pytest.mark.integration
@pytest.mark.parametrize("compression", ["null", "deflate"])
def test_write_sample_manifest(table_test_all_types: Table, compression: AvroCompressionCodec) -> None:
test_snapshot = table_test_all_types.current_snapshot()
if test_snapshot is None:
raise ValueError("Table has no current snapshot, check the docker environment")
io = table_test_all_types.io
test_manifest_file = test_snapshot.manifests(io)[0]
test_manifest_entries = test_manifest_file.fetch_manifest_entry(io)
entry = test_manifest_entries[0]
test_schema = table_test_all_types.schema()
test_spec = table_test_all_types.spec()
wrapped_data_file_v2_debug = DataFile.from_args(
format_version=2,
content=entry.data_file.content,
file_path=entry.data_file.file_path,
file_format=entry.data_file.file_format,
partition=entry.data_file.partition,
record_count=entry.data_file.record_count,
file_size_in_bytes=entry.data_file.file_size_in_bytes,
column_sizes=entry.data_file.column_sizes,
value_counts=entry.data_file.value_counts,
null_value_counts=entry.data_file.null_value_counts,
nan_value_counts=entry.data_file.nan_value_counts,
lower_bounds=entry.data_file.lower_bounds,
upper_bounds=entry.data_file.upper_bounds,
key_metadata=entry.data_file.key_metadata,
split_offsets=entry.data_file.split_offsets,
equality_ids=entry.data_file.equality_ids,
sort_order_id=entry.data_file.sort_order_id,
spec_id=entry.data_file.spec_id,
)
wrapped_entry_v2 = copy(entry)
wrapped_entry_v2.data_file = wrapped_data_file_v2_debug
wrapped_entry_v2_dict = todict(wrapped_entry_v2, [field.name for field in test_spec.fields])
with TemporaryDirectory() as tmpdir:
tmp_avro_file = tmpdir + "/test_write_manifest.avro"
output = PyArrowFileIO().new_output(tmp_avro_file)
with write_manifest(
format_version=2,
spec=test_spec,
schema=test_schema,
output_file=output,
snapshot_id=test_snapshot.snapshot_id,
avro_compression=compression,
) as manifest_writer:
# For simplicity, try one entry first
manifest_writer.add_entry(test_manifest_entries[0])
with open(tmp_avro_file, "rb") as fo:
r = reader(fo=fo)
it = iter(r)
fa_entry = next(it)
assert fa_entry == wrapped_entry_v2_dict