- Зачем: - пользователям нужен читаемый транскрипт без обязательной LLM-обработки. - Что: - моделью ONNX по умолчанию выбрана `gigaam-v3-e2e-rnnt`. - сохранён явный профиль `gigaam-v3` для более точного сырого текста. - обновлены тест, README, спецификация, ADR и benchmark. - Проверка: - `uv run pytest -q` — 226 passed, 1 skipped. - `git diff --check`.
191 lines
6.8 KiB
Python
191 lines
6.8 KiB
Python
from pathlib import Path
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from unittest.mock import patch
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import pytest
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from local_transcriber.config import (
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apply_device_defaults,
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find_config_file,
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load_config,
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resolve_defaults,
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)
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def test_find_config_file_cwd(tmp_path, monkeypatch):
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config = tmp_path / ".transcriber.toml"
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config.write_text('model = "small"\n')
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monkeypatch.chdir(tmp_path)
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assert find_config_file() == config
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def test_find_config_file_user_home(tmp_path, monkeypatch):
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monkeypatch.chdir(tmp_path) # no .transcriber.toml in CWD
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global_config = tmp_path / ".config" / "transcriber" / "config.toml"
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global_config.parent.mkdir(parents=True)
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global_config.write_text('language = "ru"\n')
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with patch("local_transcriber.config.Path.home", return_value=tmp_path):
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result = find_config_file()
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assert result == global_config
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def test_find_config_file_none(tmp_path, monkeypatch):
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monkeypatch.chdir(tmp_path)
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with patch("local_transcriber.config.Path.home", return_value=tmp_path):
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assert find_config_file() is None
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def test_load_config_valid(tmp_path):
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config = tmp_path / "config.toml"
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config.write_text('model = "small"\nlanguage = "ru"\n')
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result = load_config(config)
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assert result == {"model": "small", "language": "ru"}
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def test_load_config_malformed(tmp_path):
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config = tmp_path / "config.toml"
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config.write_text("this is not valid toml [[[")
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with pytest.raises(ValueError, match="Ошибка чтения конфига"):
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load_config(config)
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def test_load_config_unknown_keys_warned(tmp_path):
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config = tmp_path / "config.toml"
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config.write_text('modle = "small"\nmodel = "tiny"\n')
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with pytest.warns(UserWarning, match="modle"):
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result = load_config(config)
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assert result == {"model": "tiny"}
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def test_load_config_non_string_value(tmp_path):
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config = tmp_path / "config.toml"
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config.write_text("device = 123\n")
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with pytest.raises(ValueError, match="должно быть строкой"):
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load_config(config)
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def test_load_config_invalid_device(tmp_path):
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config = tmp_path / "config.toml"
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config.write_text('device = "tpu"\n')
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with pytest.raises(ValueError, match="Недопустимое значение device"):
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load_config(config)
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def test_resolve_defaults_cli_wins():
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config = {"model": "tiny", "language": "en"}
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cli = {"model": "small", "language": None, "device": None, "compute_type": None}
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result = resolve_defaults(cli, config)
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assert result["model"] == "small"
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assert result["language"] == "en"
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def test_resolve_defaults_config_wins():
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config = {"model": "tiny"}
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cli = {"model": None, "language": None, "device": None, "compute_type": None}
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result = resolve_defaults(cli, config)
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assert result["model"] == "tiny"
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def test_resolve_defaults_hardcoded_fallback():
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result = resolve_defaults(
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{"model": None, "language": None, "device": None, "compute_type": None}, {}
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)
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assert result == {
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"model": "medium",
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"language": "ru",
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"device": "auto",
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"compute_type": "float32",
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}
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def test_apply_device_defaults_cuda():
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defaults = {"model": "medium", "language": "ru", "device": "auto", "compute_type": "float32"}
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cli = {"model": None, "language": None, "device": None, "compute_type": None}
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result = apply_device_defaults(defaults, "cuda", cli, {})
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assert result["model"] == "medium"
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assert result["compute_type"] == "float16"
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def test_apply_device_defaults_cpu():
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defaults = {"model": "medium", "language": "ru", "device": "auto", "compute_type": "float32"}
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cli = {"model": None, "language": None, "device": None, "compute_type": None}
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result = apply_device_defaults(defaults, "cpu", cli, {})
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assert result["model"] == "medium"
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assert result["compute_type"] == "float32"
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def test_apply_device_defaults_onnx_uses_readable_model():
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defaults = {
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"model": "medium",
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"language": "ru",
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"device": "auto",
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"compute_type": "float32",
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}
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cli = {"model": None, "language": None, "device": None, "compute_type": None}
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result = apply_device_defaults(defaults, "onnx", cli, {})
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assert result["model"] == "gigaam-v3-e2e-rnnt"
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assert result["compute_type"] == "int8"
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def test_apply_device_defaults_cli_overrides():
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defaults = {"model": "large-v3", "language": "ru", "device": "auto", "compute_type": "int8"}
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cli = {"model": "large-v3", "language": None, "device": None, "compute_type": "int8"}
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result = apply_device_defaults(defaults, "cuda", cli, {})
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assert result["model"] == "large-v3"
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assert result["compute_type"] == "int8"
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def test_apply_device_defaults_config_overrides():
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defaults = {"model": "small", "language": "ru", "device": "auto", "compute_type": "int8"}
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cli = {"model": None, "language": None, "device": None, "compute_type": None}
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config = {"model": "small", "compute_type": "int8"}
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result = apply_device_defaults(defaults, "cuda", cli, config)
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assert result["model"] == "small"
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assert result["compute_type"] == "int8"
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def test_load_config_openvino_device(tmp_path):
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config = tmp_path / "config.toml"
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config.write_text('device = "openvino"\n')
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result = load_config(config)
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assert result == {"device": "openvino"}
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def test_load_config_openvino_gpu_device(tmp_path):
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config = tmp_path / "config.toml"
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config.write_text('device = "openvino-gpu"\n')
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result = load_config(config)
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assert result == {"device": "openvino-gpu"}
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def test_load_config_openvino_cpu_device(tmp_path):
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config = tmp_path / "config.toml"
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config.write_text('device = "openvino-cpu"\n')
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result = load_config(config)
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assert result == {"device": "openvino-cpu"}
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def test_apply_device_defaults_openvino():
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defaults = {"model": "medium", "language": "ru", "device": "auto", "compute_type": "float32"}
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cli = {"model": None, "language": None, "device": None, "compute_type": None}
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result = apply_device_defaults(defaults, "openvino", cli, {})
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assert result["model"] == "medium"
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assert result["compute_type"] == "int8"
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def test_apply_device_defaults_openvino_gpu():
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defaults = {"model": "medium", "language": "ru", "device": "auto", "compute_type": "float32"}
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cli = {"model": None, "language": None, "device": None, "compute_type": None}
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result = apply_device_defaults(defaults, "openvino-gpu", cli, {})
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assert result["model"] == "medium"
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assert result["compute_type"] == "int8"
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def test_apply_device_defaults_openvino_cpu():
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defaults = {"model": "medium", "language": "ru", "device": "auto", "compute_type": "float32"}
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cli = {"model": None, "language": None, "device": None, "compute_type": None}
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result = apply_device_defaults(defaults, "openvino-cpu", cli, {})
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assert result["model"] == "medium"
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assert result["compute_type"] == "int8"
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