flare / stt /stt_google.py
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"""
Google Cloud Speech-to-Text Implementation
"""
import os
import asyncio
from typing import AsyncIterator, Optional, List, Any
from datetime import datetime
import sys
import queue
import threading
import time
import traceback
from utils.logger import log_info, log_error, log_debug, log_warning
# Import Google Cloud Speech only if available
try:
from google.cloud import speech
from google.api_core import exceptions
GOOGLE_SPEECH_AVAILABLE = True
except ImportError:
GOOGLE_SPEECH_AVAILABLE = False
log_info("⚠️ Google Cloud Speech library not installed")
from .stt_interface import STTInterface, STTConfig, TranscriptionResult
class GoogleCloudSTT(STTInterface):
"""Google Cloud Speech-to-Text implementation"""
def __init__(self, credentials_path: str):
if not GOOGLE_SPEECH_AVAILABLE:
raise ImportError("google-cloud-speech library not installed. Run: pip install google-cloud-speech")
if credentials_path and os.path.exists(credentials_path):
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credentials_path
log_info(f"✅ Google credentials set from: {credentials_path}")
# Test credential'ları
try:
# Client'ı burada oluşturma, her seferinde yeni instance oluştur
test_client = speech.SpeechClient()
log_info("🔐 Testing Google credentials...")
log_info("✅ Google credentials valid")
# Test client'ı kapat
if hasattr(test_client, 'transport') and hasattr(test_client.transport, 'close'):
test_client.transport.close()
except Exception as e:
log_error(f"❌ Google credentials error", error=str(e))
raise
else:
log_error(f"❌ Google credentials path not found: {credentials_path}")
raise FileNotFoundError(f"Credentials file not found: {credentials_path}")
# Client'ı burada oluşturma, start_streaming'de oluştur
self.client = None
self.streaming_config = None
self.is_streaming = False
self.audio_queue = None # Queue'ları None olarak başlat
self.responses_queue = None
self.stream_thread = None
self.stop_event = threading.Event()
self.credentials_path = credentials_path
# Session tracking
self.session_id = 0
self.total_audio_bytes = 0
self.total_chunks = 0
def _get_encoding(self, encoding_str: str):
"""Convert encoding string to Google Speech enum"""
if not GOOGLE_SPEECH_AVAILABLE:
return None
encoding_map = {
"WEBM_OPUS": speech.RecognitionConfig.AudioEncoding.WEBM_OPUS,
"LINEAR16": speech.RecognitionConfig.AudioEncoding.LINEAR16,
"FLAC": speech.RecognitionConfig.AudioEncoding.FLAC,
"MP3": speech.RecognitionConfig.AudioEncoding.MP3,
"OGG_OPUS": speech.RecognitionConfig.AudioEncoding.OGG_OPUS,
}
return encoding_map.get(encoding_str, speech.RecognitionConfig.AudioEncoding.WEBM_OPUS)
async def stream_audio(self, audio_chunk: bytes) -> AsyncIterator[TranscriptionResult]:
"""Stream audio chunk and get transcription results"""
if not self.is_streaming:
log_error(f"❌ STT not streaming - is_streaming: {self.is_streaming}")
raise RuntimeError("Streaming not started. Call start_streaming() first.")
try:
# Put audio in queue for streaming thread
self.audio_queue.put(audio_chunk)
# Check for any results in queue
while True:
try:
# Non-blocking get from queue
result = self.responses_queue.get_nowait()
yield result
except queue.Empty:
# No more results in queue
break
except Exception as e:
log_error(f"❌ Google STT streaming error", error=str(e))
self.is_streaming = False
raise
async def stop_streaming(self) -> Optional[TranscriptionResult]:
"""Stop streaming and clean up all resources"""
if not self.is_streaming and not self.stream_thread:
log_debug("Already stopped, nothing to do")
return None
try:
log_info(f"🛑 Stopping Google STT streaming session #{self.session_id}")
# Flag'i hemen kapat
self.is_streaming = False
self.stop_event.set()
# Send poison pill to stop request generator
if self.audio_queue:
try:
self.audio_queue.put(None)
except:
pass
# Thread'i durdur
if self.stream_thread and self.stream_thread.is_alive():
log_info("⏳ Waiting for stream thread to finish...")
self.stream_thread.join(timeout=5.0)
if self.stream_thread.is_alive():
log_warning("⚠️ STT thread did not stop gracefully after 5s")
else:
log_info("✅ Stream thread finished")
# Final result'ı al - ✅ TEK DEĞİŞİKLİK BURASI
final_result = None
if self.responses_queue:
while not self.responses_queue.empty():
try:
result = self.responses_queue.get_nowait() # ✅ await yerine get_nowait()
if result.is_final:
final_result = result
except queue.Empty: # ✅ queue.Empty exception'ı kullan
break
# Client'ı kapat
if self.client:
try:
if hasattr(self.client, 'transport') and hasattr(self.client.transport, 'close'):
self.client.transport.close()
log_debug("✅ Client transport closed")
if hasattr(self.client, '_transport') and hasattr(self.client._transport, '_grpc_channel'):
self.client._transport._grpc_channel.close()
log_debug("✅ gRPC channel closed")
except Exception as e:
log_warning(f"⚠️ Error closing Google client: {e}")
finally:
self.client = None
# Queue'ları None yap
self.audio_queue = None
self.responses_queue = None
# Diğer değişkenleri resetle
self.stream_thread = None
self.streaming_config = None
self.stop_event.clear()
log_info(f"✅ Google STT streaming session #{self.session_id} stopped and cleaned")
return final_result
except Exception as e:
log_error(f"❌ Error during stop_streaming", error=str(e))
# Force cleanup on error
self.is_streaming = False
self.stream_thread = None
self.client = None
self.streaming_config = None
self.stop_event.clear()
self.audio_queue = None
self.responses_queue = None
return None
def supports_realtime(self) -> bool:
"""Google Cloud STT supports real-time streaming"""
return True
def get_supported_languages(self) -> List[str]:
"""Get list of supported language codes"""
return [
"tr-TR", # Turkish
"en-US", # English (US)
"en-GB", # English (UK)
"de-DE", # German
"fr-FR", # French
"es-ES", # Spanish
"it-IT", # Italian
"pt-BR", # Portuguese (Brazil)
"ru-RU", # Russian
"ja-JP", # Japanese
"ko-KR", # Korean
"zh-CN", # Chinese (Simplified)
"ar-SA", # Arabic
]
def get_provider_name(self) -> str:
"""Get provider name"""
return "google"
def _reset_session_data(self):
"""Reset all session-specific data"""
# Queue'ları temizle
if self.audio_queue:
while not self.audio_queue.empty():
try:
self.audio_queue.get_nowait()
except:
pass
if self.responses_queue:
while not self.responses_queue.empty():
try:
self.responses_queue.get_nowait()
except:
pass
# Counters'ı sıfırla
self.total_audio_bytes = 0
self.total_chunks = 0
# Yeni session ID
self.session_id += 1
log_info(f"🔄 Google STT session data reset. New session ID: {self.session_id}")
def _create_fresh_queues(self):
"""Create fresh queue instances"""
# Eski queue'ları temizle
if self.audio_queue:
while not self.audio_queue.empty():
try:
self.audio_queue.get_nowait()
except:
pass
if self.responses_queue:
while not self.responses_queue.empty():
try:
self.responses_queue.get_nowait()
except:
pass
# Yeni queue'lar oluştur
self.audio_queue = queue.Queue(maxsize=1000) # Max size ekle
self.responses_queue = queue.Queue(maxsize=100)
log_debug("✅ Created fresh queues")
async def start_streaming(self, config: dict) -> None:
"""Initialize streaming session with clean state"""
try:
# Önce mevcut stream'i temizle
if self.is_streaming or self.stream_thread:
log_warning("⚠️ Previous stream still active, stopping it first")
await self.stop_streaming()
# Temizlik için bekle
await asyncio.sleep(0.5)
# Session verilerini resetle ve ID'yi artır
self._reset_session_data()
log_info(f"🎤 Starting Google STT streaming session #{self.session_id} with config: {config}")
# Fresh queue'lar oluştur
self._create_fresh_queues()
# Stop event'i temizle
self.stop_event.clear()
# Yeni client oluştur (TEK SEFER)
self.client = speech.SpeechClient()
log_info("✅ Created new Google Speech client")
# Convert dict to STTConfig if needed
if isinstance(config, dict):
stt_config = STTConfig(
language=config.get("language", "tr-TR"),
sample_rate=config.get("sample_rate", 16000),
encoding=config.get("encoding", "WEBM_OPUS"),
enable_punctuation=config.get("enable_punctuation", True),
interim_results=config.get("interim_results", False),
single_utterance=config.get("single_utterance", True)
)
else:
stt_config = config
recognition_config = speech.RecognitionConfig(
encoding=self._get_encoding(stt_config.encoding),
sample_rate_hertz=stt_config.sample_rate,
language_code=stt_config.language,
enable_automatic_punctuation=stt_config.enable_punctuation,
model="latest_long",
use_enhanced=True,
# Bu parametreleri kaldırıyoruz - v1 API'de yok
# enable_voice_activity_events=True,
# audio_channel_count=1
)
self.streaming_config = speech.StreamingRecognitionConfig(
config=recognition_config,
interim_results=stt_config.interim_results,
single_utterance=stt_config.single_utterance
# enable_voice_activity_events kaldırıldı
)
self.is_streaming = True
# Start streaming thread with unique name
self.stream_thread = threading.Thread(
target=self._run_stream,
name=f"GoogleSTT-Session-{self.session_id}"
)
self.stream_thread.daemon = True # Daemon thread olarak işaretle
self.stream_thread.start()
log_info(f"✅ Google STT streaming session #{self.session_id} started successfully")
except Exception as e:
log_error(f"❌ Failed to start Google STT streaming", error=str(e))
self.is_streaming = False
self.client = None
self._create_fresh_queues() # Hata durumunda da queue'ları temizle
raise
def _put_result(self, result: TranscriptionResult):
"""Helper to put result in queue"""
try:
self.responses_queue.put(result)
# Debug log'u kaldırdık
except Exception as e:
log_error(f"❌ Error queuing result: {e}")
def _run_stream(self):
"""Run the streaming recognition in a separate thread"""
try:
log_info(f"🎤 Google STT stream thread started - Single utterance mode: {self.streaming_config.single_utterance}")
def request_generator():
"""Generate streaming requests"""
chunk_count = 0
total_bytes = 0
while not self.stop_event.is_set():
try:
chunk = self.audio_queue.get(timeout=0.1)
if chunk is None:
log_info("📛 Poison pill received, stopping request generator")
break
chunk_count += 1
total_bytes += len(chunk)
# İlk chunk'ta audio format kontrolü
if chunk_count == 1:
log_info(f"📤 First chunk - size: {len(chunk)} bytes")
if len(chunk) >= 4 and chunk[:4] == b'\x1a\x45\xdf\xa3':
log_info("✅ Valid WEBM header detected")
# Her 50 chunk'ta durum raporu
if chunk_count % 50 == 0:
log_info(f"📤 Progress: {chunk_count} chunks, {total_bytes/1024:.1f}KB total")
yield speech.StreamingRecognizeRequest(audio_content=chunk)
except queue.Empty:
continue
except Exception as e:
log_error(f"❌ Error in request generator: {e}")
break
log_info(f"📊 Request generator finished. Total chunks: {chunk_count}, Total bytes: {total_bytes}")
# Create streaming client
requests = request_generator()
log_info("🎤 Creating Google STT streaming client...")
try:
# Start streaming
responses = self.client.streaming_recognize(
self.streaming_config,
requests,
timeout=300
)
log_info("✅ Google STT streaming client created, waiting for responses...")
# Process responses
response_count = 0
result_count = 0
last_log_time = time.time()
# Response iterator'ı başlat
try:
for response in responses:
response_count += 1
# İlk response'u logla
if response_count == 1:
log_info(f"📨 First response received from Google STT")
# Her 5 saniyede bir durum logu
if time.time() - last_log_time > 5:
log_info(f"📊 Still listening... Responses: {response_count}, Results: {result_count}")
last_log_time = time.time()
if self.stop_event.is_set():
log_info("🛑 Stop event detected")
break
# Process results
if not response.results:
log_debug(f"📭 Response #{response_count} has no results")
continue
for result in response.results:
result_count += 1
if not result.alternatives:
continue
alternative = result.alternatives[0]
# Log all transcripts, even empty ones
log_debug(f"📝 Transcript: '{alternative.transcript}' (is_final: {result.is_final})")
if alternative.transcript.strip():
# Create transcription result
transcription = TranscriptionResult(
text=alternative.transcript,
is_final=result.is_final,
confidence=getattr(alternative, 'confidence', 0.0),
timestamp=datetime.now().timestamp()
)
# Put result in queue
self._put_result(transcription)
if result.is_final:
log_info(f"🎯 FINAL TRANSCRIPT: '{alternative.transcript}'")
# Single utterance modunda Google STT otomatik kapanır
if self.streaming_config.single_utterance:
log_info("✅ Single utterance completed - Stream ending")
return
else:
log_debug(f"📝 Interim: '{alternative.transcript}'")
except StopIteration:
log_info("✅ Google STT stream ended (StopIteration)")
except Exception as e:
log_error(f"❌ Error processing responses: {e}")
log_info(f"📊 Google STT stream ended. Responses: {response_count}, Results: {result_count}")
except Exception as e:
error_msg = str(e)
# Beklenen hatalar
if "iterating requests" in error_msg:
log_info("✅ Stream ended normally")
elif "Exceeded maximum allowed stream duration" in error_msg:
log_warning("⚠️ Stream duration limit (5 min)")
elif "InvalidArgument" in error_msg:
log_error(f"❌ Invalid STT configuration: {error_msg}")
else:
log_error(f"❌ Google STT error: {error_msg}")
except Exception as e:
log_error(f"❌ Fatal error in STT stream", error=str(e), traceback=traceback.format_exc())
finally:
log_info("🎤 Google STT stream thread ended")
self.is_streaming = False