mirror of
https://github.com/xinnan-tech/xiaozhi-esp32-server.git
synced 2026-07-21 22:53:56 +08:00
update:修改sql文件,删去测试文件
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@@ -1,9 +0,0 @@
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-- Add language configuration for local FunASR ASR.
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UPDATE `ai_model_provider`
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SET `fields` = '[{"key":"model_dir","label":"模型目录","type":"string"},{"key":"output_dir","label":"输出目录","type":"string"},{"key":"language","label":"识别语言","type":"string","default":"auto"}]'
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WHERE `id` = 'SYSTEM_ASR_FunASR';
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UPDATE `ai_model_config`
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SET `config_json` = JSON_SET(`config_json`, '$.language', 'auto')
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WHERE `id` = 'ASR_FunASR'
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AND JSON_EXTRACT(`config_json`, '$.language') IS NULL;
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@@ -0,0 +1,19 @@
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-- Add language configuration for local FunASR ASR.
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UPDATE `ai_model_provider`
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SET `fields` = '[{"key":"model_dir","label":"模型目录","type":"string"},{"key":"output_dir","label":"输出目录","type":"string"},{"key":"language","label":"识别语言","type":"string","default":"auto"}]'
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WHERE `id` = 'SYSTEM_ASR_FunASR';
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UPDATE `ai_model_config`
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SET `config_json` = JSON_SET(`config_json`, '$.language', 'auto')
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WHERE `id` = 'ASR_FunASR'
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AND JSON_EXTRACT(`config_json`, '$.language') IS NULL;
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-- Update the FunASR local model configuration description to mention the language option.
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UPDATE `ai_model_config`
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SET `remark` = 'FunASR本地模型配置说明:
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1. 需要下载模型文件到xiaozhi-server/models/SenseVoiceSmall目录
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2. 支持中日韩粤语音识别
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3. 本地推理,无需网络连接
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4. 待识别文件保存在tmp/目录
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5. “识别语言”字段控制识别语种:auto = 自动检测;如需限定只识别中文可设为 zh(en=英语、ja=日语、ko=韩语、yue=粤语)。'
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WHERE `id` = 'ASR_FunASR';
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@@ -691,9 +691,9 @@ databaseChangeLog:
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encoding: utf8
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path: classpath:db/changelog/202606261131.sql
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- changeSet:
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id: 202606301405
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id: 202607011405
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author: LauraGPT
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changes:
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- sqlFile:
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encoding: utf8
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path: classpath:db/changelog/202606301405.sql
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path: classpath:db/changelog/202607011405.sql
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@@ -1,87 +0,0 @@
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import asyncio
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import importlib
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import sys
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import types
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from pathlib import Path
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def install_fakes(monkeypatch):
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class Logger:
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def bind(self, **_kwargs):
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return self
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def debug(self, *_args, **_kwargs):
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pass
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def error(self, *_args, **_kwargs):
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pass
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def info(self, *_args, **_kwargs):
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pass
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def warning(self, *_args, **_kwargs):
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pass
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logger_module = types.ModuleType("config.logger")
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logger_module.setup_logging = lambda: Logger()
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config_module = types.ModuleType("config")
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config_module.__path__ = []
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monkeypatch.setitem(sys.modules, "config", config_module)
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monkeypatch.setitem(sys.modules, "config.logger", logger_module)
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psutil_module = types.ModuleType("psutil")
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psutil_module.virtual_memory = lambda: types.SimpleNamespace(total=4 * 1024 * 1024 * 1024)
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monkeypatch.setitem(sys.modules, "psutil", psutil_module)
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class Base:
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pass
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base_module = types.ModuleType("core.providers.asr.base")
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base_module.ASRProviderBase = Base
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monkeypatch.setitem(sys.modules, "core.providers.asr.base", base_module)
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dto_module = types.ModuleType("core.providers.asr.dto.dto")
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dto_module.InterfaceType = types.SimpleNamespace(LOCAL="local")
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monkeypatch.setitem(sys.modules, "core.providers.asr.dto.dto", dto_module)
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utils_module = types.ModuleType("core.providers.asr.utils")
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utils_module.lang_tag_filter = lambda text: {"content": text}
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monkeypatch.setitem(sys.modules, "core.providers.asr.utils", utils_module)
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class FakeAutoModel:
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last_instance = None
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def __init__(self, **_kwargs):
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self.generate_kwargs = None
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FakeAutoModel.last_instance = self
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def generate(self, **kwargs):
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self.generate_kwargs = kwargs
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return [{"text": "你好"}]
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funasr_module = types.ModuleType("funasr")
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funasr_module.AutoModel = FakeAutoModel
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monkeypatch.setitem(sys.modules, "funasr", funasr_module)
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return FakeAutoModel
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def test_fun_local_passes_configured_language_to_funasr_generate(tmp_path, monkeypatch):
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server_root = Path(__file__).resolve().parents[1]
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monkeypatch.syspath_prepend(str(server_root))
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fake_model = install_fakes(monkeypatch)
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monkeypatch.delitem(sys.modules, "core.providers.asr.fun_local", raising=False)
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module = importlib.import_module("core.providers.asr.fun_local")
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provider = module.ASRProvider(
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{"model_dir": "models/SenseVoiceSmall", "output_dir": str(tmp_path), "language": "zh"},
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delete_audio_file=False,
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)
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artifacts = types.SimpleNamespace(pcm_bytes=b"\0\0", file_path=str(tmp_path / "audio.wav"))
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text, audio_path = asyncio.run(
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provider.speech_to_text([], "session-1", audio_format="pcm", artifacts=artifacts)
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)
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assert text == {"content": "你好"}
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assert audio_path == artifacts.file_path
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assert fake_model.last_instance.generate_kwargs["language"] == "zh"
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