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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed 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 "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json
from typing import IO
import numpy as np
from cosmos_predict1.utils.easy_io.handlers.base import BaseFileHandler
def set_default(obj):
"""Set default json values for non-serializable values.
It helps convert ``set``, ``range`` and ``np.ndarray`` data types to list.
It also converts ``np.generic`` (including ``np.int32``, ``np.float32``,
etc.) into plain numbers of plain python built-in types.
"""
if isinstance(obj, (set, range)):
return list(obj)
elif isinstance(obj, np.ndarray):
return obj.tolist()
elif isinstance(obj, np.generic):
return obj.item()
raise TypeError(f"{type(obj)} is unsupported for json dump")
class JsonlHandler(BaseFileHandler):
"""Handler for JSON lines (JSONL) files."""
def load_from_fileobj(self, file: IO[bytes]):
"""Load JSON objects from a newline-delimited JSON (JSONL) file object.
Returns:
A list of Python objects loaded from each JSON line.
"""
data = []
for line in file:
line = line.strip()
if not line:
continue # skip empty lines if any
data.append(json.loads(line))
return data
def dump_to_fileobj(self, obj: IO[bytes], file, **kwargs):
"""Dump a list of objects to a newline-delimited JSON (JSONL) file object.
Args:
obj: A list (or iterable) of objects to dump line by line.
"""
kwargs.setdefault("default", set_default)
for item in obj:
file.write(json.dumps(item, **kwargs) + "\n")
def dump_to_str(self, obj, **kwargs):
"""Dump a list of objects to a newline-delimited JSON (JSONL) string."""
kwargs.setdefault("default", set_default)
lines = [json.dumps(item, **kwargs) for item in obj]
return "\n".join(lines)
if __name__ == "__main__":
from cosmos_predict1.utils.easy_io import easy_io
easy_io.dump([1, 2, 3], "test.jsonl", file_format="jsonl")
print(easy_io.load("test.jsonl"))
easy_io.dump([{"key1": 1, "key2": 2}, {"key1": 3, "key2": 4}], "test.jsonl", file_format="jsonl")
print(easy_io.load("test.jsonl"))
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