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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
from 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:
self.client = speech.SpeechClient()
# Basit bir test çağrısı
log_info("🔐 Testing Google credentials...")
# Bu sadece client'ın oluşturulabildiğini test eder
log_info("✅ Google credentials valid")
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}")
self.client = speech.SpeechClient()
self.streaming_config = None
self.is_streaming = False
self.audio_queue = queue.Queue()
self.responses_queue = queue.Queue() # Normal Queue, asyncio.Queue değil!
self.stream_thread = None
self.stop_event = threading.Event()
async def start_streaming(self, config: dict) -> None:
"""Initialize streaming session"""
try:
log_info(f"🎤 Starting Google STT streaming with config: {config}")
# 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", True),
single_utterance=config.get("single_utterance", False)
)
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
)
self.streaming_config = speech.StreamingRecognitionConfig(
config=recognition_config,
interim_results=stt_config.interim_results,
single_utterance=stt_config.single_utterance
)
self.is_streaming = True
self.stop_event.clear()
# Start streaming thread
self.stream_thread = threading.Thread(target=self._run_stream)
self.stream_thread.start()
log_info("✅ Google STT streaming started successfully")
except Exception as e:
log_error(f"❌ Failed to start Google STT streaming", error=str(e))
self.is_streaming = False
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("🎤 Google STT stream thread started")
def request_generator():
"""Generate streaming requests"""
chunk_count = 0
start_time = datetime.now()
while not self.stop_event.is_set():
try:
# 5 dakika sınırına yaklaşıyorsak stream'i sonlandır
elapsed = (datetime.now() - start_time).total_seconds()
if elapsed > 280: # 4 dakika 40 saniye - güvenli margin
log_warning(f"⚠️ Approaching 5-minute limit ({elapsed:.1f}s), ending stream gracefully")
break
# Get audio chunk with timeout
chunk = self.audio_queue.get(timeout=0.1)
if chunk is None: # Poison pill
log_info("📛 Poison pill received, stopping request generator")
break
chunk_count += 1
# Sadece önemli milestone'larda logla
if chunk_count == 1:
log_info(f"📤 First chunk sent to Google STT, size: {len(chunk)} bytes")
elif chunk_count % 100 == 0:
log_info(f"📤 Sent {chunk_count} chunks to Google STT (elapsed: {elapsed:.1f}s)")
yield speech.StreamingRecognizeRequest(audio_content=chunk)
except queue.Empty:
continue
except Exception as e:
log_error(f"❌ Error in request generator: {e}")
break
# Create streaming client
requests = request_generator()
log_info("🎤 Creating Google STT streaming client...")
try:
responses = self.client.streaming_recognize(self.streaming_config, requests)
log_info("✅ Google STT streaming client created")
# Process responses
response_count = 0
empty_response_count = 0
for response in responses:
response_count += 1
if self.stop_event.is_set():
log_info("🛑 Stop event detected, breaking response loop")
break
# Boş response'ları say ama loglama
if not response.results:
empty_response_count += 1
if empty_response_count % 50 == 0:
log_warning(f"⚠️ Received {empty_response_count} empty responses from Google STT")
continue
for result in response.results:
if not result.alternatives:
continue
# İlk alternatifi al
alternative = result.alternatives[0]
# Sadece anlamlı text'leri işle
if alternative.transcript.strip():
# Create transcription result
transcription = TranscriptionResult(
text=alternative.transcript,
is_final=result.is_final,
confidence=alternative.confidence if hasattr(alternative, 'confidence') and alternative.confidence else 0.0,
timestamp=datetime.now().timestamp()
)
# Put result in queue
self._put_result(transcription)
# SADECE final result'ları logla
if result.is_final:
log_info(f"🎯 GOOGLE STT FINAL: '{alternative.transcript}'")
log_info(f"📊 Google STT stream ended. Total responses: {response_count}, Empty: {empty_response_count}")
except Exception as e:
error_msg = str(e)
# Detaylı hata mesajları
if "Exceeded maximum allowed stream duration" in error_msg:
log_warning("⚠️ Stream duration limit exceeded (5 minutes). This is expected for long sessions.")
# Bu bir error değil, normal davranış - result queue'ya error koymuyoruz
elif "Bad language code" in error_msg:
log_error(f"❌ Invalid language code in STT config. Check locale settings.")
elif "invalid_argument" in error_msg:
log_error(f"❌ Invalid STT configuration. Check encoding and sample rate.")
elif "Deadline Exceeded" in error_msg:
log_error(f"❌ Google STT timeout - possibly network issue or slow connection")
else:
log_error(f"❌ Google STT stream error: {error_msg}")
except Exception as e:
log_error(f"❌ Fatal error in STT stream thread", error=str(e), traceback=traceback.format_exc())
finally:
log_info("🎤 Google STT stream thread ended")
async def stream_audio(self, audio_chunk: bytes) -> AsyncIterator[TranscriptionResult]:
"""Stream audio chunk and get transcription results"""
if not 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 normal queue
result = self.responses_queue.get_nowait()
# Debug log'u kaldırdık
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))
raise
async def stop_streaming(self) -> Optional[TranscriptionResult]:
"""Stop streaming and get final result"""
if not self.is_streaming:
return None
try:
log_info("🛑 Stopping Google STT streaming...")
self.is_streaming = False
self.stop_event.set()
# Send poison pill to queue
self.audio_queue.put(None)
# Wait for thread to finish
if self.stream_thread:
self.stream_thread.join(timeout=5.0)
# Clear queues
while not self.audio_queue.empty():
self.audio_queue.get_nowait()
final_result = None
while not self.responses_queue.empty():
result = await self.responses_queue.get()
if result.is_final:
final_result = result
log_info("✅ Google STT streaming stopped")
return final_result
except Exception as e:
log_error(f"❌ Failed to stop Google STT streaming", error=str(e))
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 _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) |