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transcribe_batch_multiple_files_v2_test.py
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# Copyright 2023 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re
from uuid import uuid4
from flaky import flaky
from google.cloud import storage
from google.cloud.speech_v2.types import cloud_speech
import pytest
import transcribe_batch_multiple_files_v2
_TEST_AUDIO_FILE_PATH = "gs://cloud-samples-data/speech/audio.flac"
_GCS_BUCKET_OBJECT_RE = r"gs://([^/]+)/(.*)"
@pytest.fixture
def gcs_bucket() -> str:
client = storage.Client()
bucket = client.bucket("speech-samples-" + str(uuid4()))
new_bucket = client.create_bucket(bucket, location="us")
yield new_bucket.name
bucket.delete(force=True)
def get_gcs_object(gcs_path: str) -> cloud_speech.BatchRecognizeResults:
client = storage.Client()
bucket_name, object_name = re.match(_GCS_BUCKET_OBJECT_RE, gcs_path).group(1, 2)
bucket = client.bucket(bucket_name)
blob = bucket.blob(object_name)
results_bytes = blob.download_as_bytes()
return cloud_speech.BatchRecognizeResults.from_json(
results_bytes, ignore_unknown_fields=True
)
@flaky(max_runs=10, min_passes=1)
def test_transcribe_batch_multiple_files_v2(
gcs_bucket: pytest.FixtureRequest, capsys: pytest.CaptureFixture
) -> None:
response = transcribe_batch_multiple_files_v2.transcribe_batch_multiple_files_v2(
[_TEST_AUDIO_FILE_PATH], f"gs://{gcs_bucket}"
)
results = get_gcs_object(response.results[_TEST_AUDIO_FILE_PATH].uri)
assert re.search(
r"how old is the Brooklyn Bridge",
results.results[0].alternatives[0].transcript,
re.DOTALL | re.I,
)