請求谷歌雲語音轉文本 API 給出 503 錯誤？

Question

我在此頁面上運行了以下 python 示例代碼（您需要一個私鑰來運行它）： https://cloud.google.com/speech-to-text/docs/quickstart-client-libraries

# Imports the Google Cloud client library
from google.cloud import speech
import os

os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = 'key.json'

# Instantiates a client
client = speech.SpeechClient()

# The name of the audio file to transcribe
gcs_uri = "gs://cloud-samples-data/speech/brooklyn_bridge.raw"

audio = speech.RecognitionAudio(uri=gcs_uri)

config = speech.RecognitionConfig(
    encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
    sample_rate_hertz=16000,
    language_code="en-US",
)

# Detects speech in the audio file
response = client.recognize(config=config, audio=audio)

for result in response.results:
    print("Transcript: {}".format(result.alternatives[0].transcript))

這會導致以下錯誤：

Traceback (most recent call last):
  File "C:\Users\98274\anaconda3\envs\carla\lib\site-packages\google\api_core\grpc_helpers.py", line 57, in error_remapped_callable
    return callable_(*args, **kwargs)
  File "C:\Users\98274\anaconda3\envs\carla\lib\site-packages\grpc\_channel.py", line 826, in __call__
    return _end_unary_response_blocking(state, call, False, None)
  File "C:\Users\98274\anaconda3\envs\carla\lib\site-packages\grpc\_channel.py", line 729, in _end_unary_response_blocking
    raise _InactiveRpcError(state)
grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with:
    status = StatusCode.UNAVAILABLE
    details = "failed to connect to all addresses"
    debug_error_string = "{"created":"@1614347442.192000000","description":"Failed to pick subchannel","file":"src/core/ext/filters/client_channel/client_channel.cc","file_line":4090,"referenced_errors":[{"created":"@1614347442.192000000","description":"failed to connect to all addresses","file":"src/core/ext/filters/client_channel/lb_policy/pick_first/pick_first.cc","file_line":394,"grpc_status":14}]}"
>

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\98274\anaconda3\envs\carla\lib\site-packages\google\api_core\retry.py", line 184, in retry_target
    return target()
  File "C:\Users\98274\anaconda3\envs\carla\lib\site-packages\google\api_core\grpc_helpers.py", line 59, in error_remapped_callable
    six.raise_from(exceptions.from_grpc_error(exc), exc)
  File "<string>", line 3, in raise_from
google.api_core.exceptions.ServiceUnavailable: 503 failed to connect to all addresses

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:/Users/98274/Desktop/carla_ppo/test_connection.py", line 22, in <module>
    response = client.recognize(config=config, audio=audio)
  File "C:\Users\98274\anaconda3\envs\carla\lib\site-packages\google\cloud\speech_v1\services\speech\client.py", line 334, in recognize
    response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
  File "C:\Users\98274\anaconda3\envs\carla\lib\site-packages\google\api_core\gapic_v1\method.py", line 145, in __call__
    return wrapped_func(*args, **kwargs)
  File "C:\Users\98274\anaconda3\envs\carla\lib\site-packages\google\api_core\retry.py", line 286, in retry_wrapped_func
    on_error=on_error,
  File "C:\Users\98274\anaconda3\envs\carla\lib\site-packages\google\api_core\retry.py", line 206, in retry_target
    last_exc,
  File "<string>", line 3, in raise_from
google.api_core.exceptions.RetryError: Deadline of 120.0s exceeded while calling functools.partial(<function _wrap_unary_errors.<locals>.error_remapped_callable at 0x0000026B56606A68>, config {
  encoding: LINEAR16
  sample_rate_hertz: 16000
  language_code: "en-US"
}
audio {
  uri: "gs://cloud-samples-data/speech/brooklyn_bridge.raw"
}
, metadata=[('x-goog-api-client', 'gl-python/3.7.9 grpc/1.31.0 gax/1.23.0 gapic/2.0.1')]), last exception: 503 failed to connect to all addresses

有什么問題？ 是否因為我在中國而與互聯網問題有關？ 我該如何解決？

Answer 1

我將答案發布為 CommunityWiki，以進一步為社區做出貢獻。

如評論部分所述， 文檔中提供的代碼運行流暢。 但是，您必須確保使用GOOGLE_APPLICATION_CREDENTIALS設置您的憑據，以便您的請求通過身份驗證。 此外，必須正確安裝客戶端庫。

在@antaressgzz 案例中，對 API 的請求被防火牆規則阻止。 因此，檢查這些規則是一種很好的做法，如果適用，可以更改它們。