[实时转写]：完成录音期间转写显示，包含partial事件、本地streaming STT和终端实时反馈

tests/test_wake_vad_stt.py

@@ -3,10 +3,12 @@ from __future__ import annotations
 import json
 import tempfile
 import unittest
+from pathlib import Path
 
 from owner_voice_pet.models import AudioFrame, AudioSegment, ErrorCode, ProviderError
 from owner_voice_pet.config import AppConfig
 from owner_voice_pet.stt import CloudAsrSttProvider, MetadataSttProvider, SherpaOnnxSttProvider, is_valid_transcript_text
+from owner_voice_pet.speech_models import stt_model_paths
 from owner_voice_pet.vad import EnergyVadProvider, HybridVadProvider, PrimarySpeakerVadRecorder, VadRecorder
 from owner_voice_pet.wakeword import (
     KeywordWakeWordProvider,
@@ -246,6 +248,60 @@ class WakeVadSttTests(unittest.TestCase):
                 provider.load()
         self.assertEqual(raised.exception.code, ErrorCode.STT_MODEL_MISSING)
 
+    def test_sherpa_stt_streaming_session_emits_partial_text(self) -> None:
+        class FakeResult:
+            def __init__(self, text: str) -> None:
+                self.text = text
+
+        class FakeStream:
+            def __init__(self) -> None:
+                self.ready = False
+                self.text = ""
+
+            def accept_waveform(self, sample_rate, samples) -> None:
+                self.ready = True
+                self.text = "你" if not self.text else "你好"
+
+        class FakeRecognizer:
+            def create_stream(self):
+                return FakeStream()
+
+            def is_ready(self, stream) -> bool:
+                return stream.ready
+
+            def decode_stream(self, stream) -> None:
+                stream.ready = False
+
+            def get_result(self, stream):
+                return FakeResult(stream.text)
+
+        class FakeOnlineRecognizer:
+            @staticmethod
+            def from_transducer(**kwargs):
+                return FakeRecognizer()
+
+        class FakeSherpa:
+            OnlineRecognizer = FakeOnlineRecognizer
+
+        with tempfile.TemporaryDirectory() as tmp:
+            paths = stt_model_paths(Path(tmp))
+            for name, path in paths.items():
+                if name == "model_dir":
+                    continue
+                path.parent.mkdir(parents=True, exist_ok=True)
+                path.write_text("fake", encoding="utf-8")
+            provider = SherpaOnnxSttProvider(tmp, sherpa_module=FakeSherpa)
+            provider.load()
+            session = provider.start_stream()
+            first = session.accept_frame(make_frame(1, 0, speech=True))
+            second = session.accept_frame(make_frame(2, 20, speech=True))
+
+        self.assertIsNotNone(first)
+        self.assertIsNotNone(second)
+        assert first is not None and second is not None
+        self.assertEqual(first.text, "你")
+        self.assertEqual(second.text, "你好")
+
     def test_cloud_asr_posts_audio_transcription_request(self) -> None:
         class FakeResponse:
             def __enter__(self):