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#!/usr/bin/env python3
# Copyright    2026  Xiaomi Corp.        (authors:  Han Zhu)
#
# See ../../LICENSE for clarification regarding multiple authors
#
# 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.

"""Data utilities for batch inference and evaluation.



Provides ``read_test_list()`` to parse JSONL test list files used by

``omnivoice.cli.infer_batch`` and evaluation scripts.

"""

import json
import logging
from pathlib import Path


def read_test_list(path):
    """Read a JSONL test list file.



    Each line should be a JSON object.  Only ``id`` and ``text`` are required;

    all other fields are optional (default to ``None``):

        id, text, ref_audio, ref_text, instruct,

        language_id, language_name, duration, speed



    Note: ``language_name`` is only used by evaluation scripts (under

    ``omnivoice/eval/``) for grouping and reporting results.  The model

    itself only consumes ``language_id``.



    Returns a list of dicts.

    """
    path = Path(path)
    samples = []
    with path.open("r", encoding="utf-8") as f:
        for line_no, line in enumerate(f, 1):
            line = line.strip()
            if not line:
                continue
            try:
                obj = json.loads(line)
            except json.JSONDecodeError:
                logging.warning(f"Skipping malformed JSON at line {line_no}: {line}")
                continue

            sample = {
                "id": obj.get("id"),
                "text": obj.get("text"),
                "ref_audio": obj.get("ref_audio"),
                "ref_text": obj.get("ref_text"),
                "language_id": obj.get("language_id"),
                "language_name": obj.get("language_name"),
                "duration": obj.get("duration"),
                "speed": obj.get("speed"),
                "instruct": obj.get("instruct"),
            }
            samples.append(sample)
    return samples