structure saas with tools
This commit is contained in:
Davidson Gomes
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# -*- coding: utf-8 -*-
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# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from google.cloud.speech_v2 import gapic_version as package_version
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__version__ = package_version.__version__
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from .services.speech import SpeechAsyncClient, SpeechClient
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from .types.cloud_speech import (
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AutoDetectDecodingConfig,
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BatchRecognizeFileMetadata,
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BatchRecognizeFileResult,
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BatchRecognizeMetadata,
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BatchRecognizeRequest,
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BatchRecognizeResponse,
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BatchRecognizeResults,
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BatchRecognizeTranscriptionMetadata,
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CloudStorageResult,
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Config,
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CreateCustomClassRequest,
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CreatePhraseSetRequest,
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CreateRecognizerRequest,
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CustomClass,
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DeleteCustomClassRequest,
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DeletePhraseSetRequest,
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DeleteRecognizerRequest,
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ExplicitDecodingConfig,
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GcsOutputConfig,
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GetConfigRequest,
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GetCustomClassRequest,
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GetPhraseSetRequest,
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GetRecognizerRequest,
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InlineOutputConfig,
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InlineResult,
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ListCustomClassesRequest,
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ListCustomClassesResponse,
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ListPhraseSetsRequest,
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ListPhraseSetsResponse,
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ListRecognizersRequest,
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ListRecognizersResponse,
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NativeOutputFileFormatConfig,
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OperationMetadata,
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OutputFormatConfig,
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PhraseSet,
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RecognitionConfig,
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RecognitionFeatures,
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RecognitionOutputConfig,
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RecognitionResponseMetadata,
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Recognizer,
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RecognizeRequest,
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RecognizeResponse,
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SpeakerDiarizationConfig,
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SpeechAdaptation,
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SpeechRecognitionAlternative,
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SpeechRecognitionResult,
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SrtOutputFileFormatConfig,
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StreamingRecognitionConfig,
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StreamingRecognitionFeatures,
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StreamingRecognitionResult,
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StreamingRecognizeRequest,
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StreamingRecognizeResponse,
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TranscriptNormalization,
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TranslationConfig,
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UndeleteCustomClassRequest,
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UndeletePhraseSetRequest,
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UndeleteRecognizerRequest,
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UpdateConfigRequest,
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UpdateCustomClassRequest,
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UpdatePhraseSetRequest,
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UpdateRecognizerRequest,
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VttOutputFileFormatConfig,
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WordInfo,
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)
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from .types.locations_metadata import (
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AccessMetadata,
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LanguageMetadata,
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LocationsMetadata,
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ModelFeature,
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ModelFeatures,
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ModelMetadata,
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)
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__all__ = (
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"SpeechAsyncClient",
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"AccessMetadata",
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"AutoDetectDecodingConfig",
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"BatchRecognizeFileMetadata",
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"BatchRecognizeFileResult",
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"BatchRecognizeMetadata",
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"BatchRecognizeRequest",
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"BatchRecognizeResponse",
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"BatchRecognizeResults",
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"BatchRecognizeTranscriptionMetadata",
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"CloudStorageResult",
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"Config",
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"CreateCustomClassRequest",
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"CreatePhraseSetRequest",
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"CreateRecognizerRequest",
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"CustomClass",
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"DeleteCustomClassRequest",
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"DeletePhraseSetRequest",
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"DeleteRecognizerRequest",
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"ExplicitDecodingConfig",
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"GcsOutputConfig",
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"GetConfigRequest",
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"GetCustomClassRequest",
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"GetPhraseSetRequest",
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"GetRecognizerRequest",
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"InlineOutputConfig",
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"InlineResult",
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"LanguageMetadata",
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"ListCustomClassesRequest",
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"ListCustomClassesResponse",
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"ListPhraseSetsRequest",
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"ListPhraseSetsResponse",
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"ListRecognizersRequest",
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"ListRecognizersResponse",
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"LocationsMetadata",
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"ModelFeature",
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"ModelFeatures",
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"ModelMetadata",
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"NativeOutputFileFormatConfig",
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"OperationMetadata",
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"OutputFormatConfig",
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"PhraseSet",
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"RecognitionConfig",
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"RecognitionFeatures",
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"RecognitionOutputConfig",
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"RecognitionResponseMetadata",
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"RecognizeRequest",
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"RecognizeResponse",
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"Recognizer",
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"SpeakerDiarizationConfig",
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"SpeechAdaptation",
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"SpeechClient",
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"SpeechRecognitionAlternative",
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"SpeechRecognitionResult",
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"SrtOutputFileFormatConfig",
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"StreamingRecognitionConfig",
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"StreamingRecognitionFeatures",
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"StreamingRecognitionResult",
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"StreamingRecognizeRequest",
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"StreamingRecognizeResponse",
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"TranscriptNormalization",
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"TranslationConfig",
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"UndeleteCustomClassRequest",
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"UndeletePhraseSetRequest",
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"UndeleteRecognizerRequest",
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"UpdateConfigRequest",
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"UpdateCustomClassRequest",
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"UpdatePhraseSetRequest",
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"UpdateRecognizerRequest",
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"VttOutputFileFormatConfig",
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"WordInfo",
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)
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@@ -0,0 +1,373 @@
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{
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"comment": "This file maps proto services/RPCs to the corresponding library clients/methods",
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"language": "python",
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"libraryPackage": "google.cloud.speech_v2",
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"protoPackage": "google.cloud.speech.v2",
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"schema": "1.0",
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"services": {
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"Speech": {
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"clients": {
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"grpc": {
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"libraryClient": "SpeechClient",
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"rpcs": {
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"BatchRecognize": {
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"methods": [
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"batch_recognize"
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]
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},
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"CreateCustomClass": {
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"methods": [
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"create_custom_class"
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]
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},
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"CreatePhraseSet": {
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"methods": [
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"create_phrase_set"
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]
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},
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"CreateRecognizer": {
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"methods": [
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"create_recognizer"
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]
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},
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"DeleteCustomClass": {
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"methods": [
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"delete_custom_class"
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]
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},
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"DeletePhraseSet": {
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"methods": [
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"delete_phrase_set"
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]
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},
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"DeleteRecognizer": {
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"methods": [
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"delete_recognizer"
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]
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},
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"GetConfig": {
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"methods": [
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"get_config"
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]
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},
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"GetCustomClass": {
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"methods": [
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"get_custom_class"
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]
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},
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"GetPhraseSet": {
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"methods": [
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"get_phrase_set"
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]
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},
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"GetRecognizer": {
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"methods": [
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"get_recognizer"
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]
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},
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"ListCustomClasses": {
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"methods": [
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"list_custom_classes"
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]
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},
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"ListPhraseSets": {
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"methods": [
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"list_phrase_sets"
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]
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},
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"ListRecognizers": {
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"methods": [
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"list_recognizers"
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]
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},
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"Recognize": {
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"methods": [
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"recognize"
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]
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},
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"StreamingRecognize": {
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"methods": [
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"streaming_recognize"
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]
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},
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"UndeleteCustomClass": {
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"methods": [
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"undelete_custom_class"
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]
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},
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"UndeletePhraseSet": {
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"methods": [
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"undelete_phrase_set"
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]
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},
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"UndeleteRecognizer": {
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"methods": [
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"undelete_recognizer"
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]
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},
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"UpdateConfig": {
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"methods": [
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"update_config"
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]
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},
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"UpdateCustomClass": {
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"methods": [
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"update_custom_class"
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]
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},
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"UpdatePhraseSet": {
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"methods": [
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"update_phrase_set"
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]
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},
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"UpdateRecognizer": {
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"methods": [
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"update_recognizer"
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]
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}
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}
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},
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"grpc-async": {
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"libraryClient": "SpeechAsyncClient",
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"rpcs": {
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"BatchRecognize": {
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"methods": [
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"batch_recognize"
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]
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},
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"CreateCustomClass": {
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"methods": [
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"create_custom_class"
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]
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},
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"CreatePhraseSet": {
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"methods": [
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"create_phrase_set"
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]
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},
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"CreateRecognizer": {
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"methods": [
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"create_recognizer"
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]
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},
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"DeleteCustomClass": {
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"methods": [
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"delete_custom_class"
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]
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},
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"DeletePhraseSet": {
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"methods": [
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"delete_phrase_set"
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]
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},
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"DeleteRecognizer": {
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"methods": [
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"delete_recognizer"
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]
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},
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"GetConfig": {
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"methods": [
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"get_config"
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]
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},
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"GetCustomClass": {
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"methods": [
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"get_custom_class"
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]
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},
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"GetPhraseSet": {
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"methods": [
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"get_phrase_set"
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]
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},
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"GetRecognizer": {
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"methods": [
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"get_recognizer"
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]
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},
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"ListCustomClasses": {
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"methods": [
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"list_custom_classes"
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]
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},
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"ListPhraseSets": {
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"methods": [
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"list_phrase_sets"
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]
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},
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"ListRecognizers": {
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"methods": [
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"list_recognizers"
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]
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},
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"Recognize": {
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"methods": [
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"recognize"
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]
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},
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"StreamingRecognize": {
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"methods": [
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"streaming_recognize"
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]
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},
|
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"UndeleteCustomClass": {
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"methods": [
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"undelete_custom_class"
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]
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},
|
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"UndeletePhraseSet": {
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"methods": [
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"undelete_phrase_set"
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]
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},
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"UndeleteRecognizer": {
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"methods": [
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"undelete_recognizer"
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]
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},
|
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"UpdateConfig": {
|
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"methods": [
|
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"update_config"
|
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]
|
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},
|
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"UpdateCustomClass": {
|
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"methods": [
|
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"update_custom_class"
|
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]
|
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},
|
||||
"UpdatePhraseSet": {
|
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"methods": [
|
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"update_phrase_set"
|
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]
|
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},
|
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"UpdateRecognizer": {
|
||||
"methods": [
|
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"update_recognizer"
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]
|
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}
|
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}
|
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},
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"rest": {
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"libraryClient": "SpeechClient",
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"rpcs": {
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"BatchRecognize": {
|
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"methods": [
|
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"batch_recognize"
|
||||
]
|
||||
},
|
||||
"CreateCustomClass": {
|
||||
"methods": [
|
||||
"create_custom_class"
|
||||
]
|
||||
},
|
||||
"CreatePhraseSet": {
|
||||
"methods": [
|
||||
"create_phrase_set"
|
||||
]
|
||||
},
|
||||
"CreateRecognizer": {
|
||||
"methods": [
|
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"create_recognizer"
|
||||
]
|
||||
},
|
||||
"DeleteCustomClass": {
|
||||
"methods": [
|
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"delete_custom_class"
|
||||
]
|
||||
},
|
||||
"DeletePhraseSet": {
|
||||
"methods": [
|
||||
"delete_phrase_set"
|
||||
]
|
||||
},
|
||||
"DeleteRecognizer": {
|
||||
"methods": [
|
||||
"delete_recognizer"
|
||||
]
|
||||
},
|
||||
"GetConfig": {
|
||||
"methods": [
|
||||
"get_config"
|
||||
]
|
||||
},
|
||||
"GetCustomClass": {
|
||||
"methods": [
|
||||
"get_custom_class"
|
||||
]
|
||||
},
|
||||
"GetPhraseSet": {
|
||||
"methods": [
|
||||
"get_phrase_set"
|
||||
]
|
||||
},
|
||||
"GetRecognizer": {
|
||||
"methods": [
|
||||
"get_recognizer"
|
||||
]
|
||||
},
|
||||
"ListCustomClasses": {
|
||||
"methods": [
|
||||
"list_custom_classes"
|
||||
]
|
||||
},
|
||||
"ListPhraseSets": {
|
||||
"methods": [
|
||||
"list_phrase_sets"
|
||||
]
|
||||
},
|
||||
"ListRecognizers": {
|
||||
"methods": [
|
||||
"list_recognizers"
|
||||
]
|
||||
},
|
||||
"Recognize": {
|
||||
"methods": [
|
||||
"recognize"
|
||||
]
|
||||
},
|
||||
"StreamingRecognize": {
|
||||
"methods": [
|
||||
"streaming_recognize"
|
||||
]
|
||||
},
|
||||
"UndeleteCustomClass": {
|
||||
"methods": [
|
||||
"undelete_custom_class"
|
||||
]
|
||||
},
|
||||
"UndeletePhraseSet": {
|
||||
"methods": [
|
||||
"undelete_phrase_set"
|
||||
]
|
||||
},
|
||||
"UndeleteRecognizer": {
|
||||
"methods": [
|
||||
"undelete_recognizer"
|
||||
]
|
||||
},
|
||||
"UpdateConfig": {
|
||||
"methods": [
|
||||
"update_config"
|
||||
]
|
||||
},
|
||||
"UpdateCustomClass": {
|
||||
"methods": [
|
||||
"update_custom_class"
|
||||
]
|
||||
},
|
||||
"UpdatePhraseSet": {
|
||||
"methods": [
|
||||
"update_phrase_set"
|
||||
]
|
||||
},
|
||||
"UpdateRecognizer": {
|
||||
"methods": [
|
||||
"update_recognizer"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,16 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# Copyright 2025 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.
|
||||
#
|
||||
__version__ = "2.32.0" # {x-release-please-version}
|
||||
@@ -0,0 +1,2 @@
|
||||
# Marker file for PEP 561.
|
||||
# The google-cloud-speech package uses inline types.
|
||||
@@ -0,0 +1,15 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# Copyright 2025 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.
|
||||
#
|
||||
Binary file not shown.
@@ -0,0 +1,22 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# Copyright 2025 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.
|
||||
#
|
||||
from .async_client import SpeechAsyncClient
|
||||
from .client import SpeechClient
|
||||
|
||||
__all__ = (
|
||||
"SpeechClient",
|
||||
"SpeechAsyncClient",
|
||||
)
|
||||
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@@ -0,0 +1,509 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# Copyright 2025 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.
|
||||
#
|
||||
from typing import (
|
||||
Any,
|
||||
AsyncIterator,
|
||||
Awaitable,
|
||||
Callable,
|
||||
Iterator,
|
||||
Optional,
|
||||
Sequence,
|
||||
Tuple,
|
||||
Union,
|
||||
)
|
||||
|
||||
from google.api_core import gapic_v1
|
||||
from google.api_core import retry as retries
|
||||
from google.api_core import retry_async as retries_async
|
||||
|
||||
try:
|
||||
OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
|
||||
OptionalAsyncRetry = Union[
|
||||
retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None
|
||||
]
|
||||
except AttributeError: # pragma: NO COVER
|
||||
OptionalRetry = Union[retries.Retry, object, None] # type: ignore
|
||||
OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore
|
||||
|
||||
from google.cloud.speech_v2.types import cloud_speech
|
||||
|
||||
|
||||
class ListRecognizersPager:
|
||||
"""A pager for iterating through ``list_recognizers`` requests.
|
||||
|
||||
This class thinly wraps an initial
|
||||
:class:`google.cloud.speech_v2.types.ListRecognizersResponse` object, and
|
||||
provides an ``__iter__`` method to iterate through its
|
||||
``recognizers`` field.
|
||||
|
||||
If there are more pages, the ``__iter__`` method will make additional
|
||||
``ListRecognizers`` requests and continue to iterate
|
||||
through the ``recognizers`` field on the
|
||||
corresponding responses.
|
||||
|
||||
All the usual :class:`google.cloud.speech_v2.types.ListRecognizersResponse`
|
||||
attributes are available on the pager. If multiple requests are made, only
|
||||
the most recent response is retained, and thus used for attribute lookup.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
method: Callable[..., cloud_speech.ListRecognizersResponse],
|
||||
request: cloud_speech.ListRecognizersRequest,
|
||||
response: cloud_speech.ListRecognizersResponse,
|
||||
*,
|
||||
retry: OptionalRetry = gapic_v1.method.DEFAULT,
|
||||
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
|
||||
metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()
|
||||
):
|
||||
"""Instantiate the pager.
|
||||
|
||||
Args:
|
||||
method (Callable): The method that was originally called, and
|
||||
which instantiated this pager.
|
||||
request (google.cloud.speech_v2.types.ListRecognizersRequest):
|
||||
The initial request object.
|
||||
response (google.cloud.speech_v2.types.ListRecognizersResponse):
|
||||
The initial response object.
|
||||
retry (google.api_core.retry.Retry): Designation of what errors,
|
||||
if any, should be retried.
|
||||
timeout (float): The timeout for this request.
|
||||
metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
|
||||
sent along with the request as metadata. Normally, each value must be of type `str`,
|
||||
but for metadata keys ending with the suffix `-bin`, the corresponding values must
|
||||
be of type `bytes`.
|
||||
"""
|
||||
self._method = method
|
||||
self._request = cloud_speech.ListRecognizersRequest(request)
|
||||
self._response = response
|
||||
self._retry = retry
|
||||
self._timeout = timeout
|
||||
self._metadata = metadata
|
||||
|
||||
def __getattr__(self, name: str) -> Any:
|
||||
return getattr(self._response, name)
|
||||
|
||||
@property
|
||||
def pages(self) -> Iterator[cloud_speech.ListRecognizersResponse]:
|
||||
yield self._response
|
||||
while self._response.next_page_token:
|
||||
self._request.page_token = self._response.next_page_token
|
||||
self._response = self._method(
|
||||
self._request,
|
||||
retry=self._retry,
|
||||
timeout=self._timeout,
|
||||
metadata=self._metadata,
|
||||
)
|
||||
yield self._response
|
||||
|
||||
def __iter__(self) -> Iterator[cloud_speech.Recognizer]:
|
||||
for page in self.pages:
|
||||
yield from page.recognizers
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
|
||||
|
||||
|
||||
class ListRecognizersAsyncPager:
|
||||
"""A pager for iterating through ``list_recognizers`` requests.
|
||||
|
||||
This class thinly wraps an initial
|
||||
:class:`google.cloud.speech_v2.types.ListRecognizersResponse` object, and
|
||||
provides an ``__aiter__`` method to iterate through its
|
||||
``recognizers`` field.
|
||||
|
||||
If there are more pages, the ``__aiter__`` method will make additional
|
||||
``ListRecognizers`` requests and continue to iterate
|
||||
through the ``recognizers`` field on the
|
||||
corresponding responses.
|
||||
|
||||
All the usual :class:`google.cloud.speech_v2.types.ListRecognizersResponse`
|
||||
attributes are available on the pager. If multiple requests are made, only
|
||||
the most recent response is retained, and thus used for attribute lookup.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
method: Callable[..., Awaitable[cloud_speech.ListRecognizersResponse]],
|
||||
request: cloud_speech.ListRecognizersRequest,
|
||||
response: cloud_speech.ListRecognizersResponse,
|
||||
*,
|
||||
retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
|
||||
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
|
||||
metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()
|
||||
):
|
||||
"""Instantiates the pager.
|
||||
|
||||
Args:
|
||||
method (Callable): The method that was originally called, and
|
||||
which instantiated this pager.
|
||||
request (google.cloud.speech_v2.types.ListRecognizersRequest):
|
||||
The initial request object.
|
||||
response (google.cloud.speech_v2.types.ListRecognizersResponse):
|
||||
The initial response object.
|
||||
retry (google.api_core.retry.AsyncRetry): Designation of what errors,
|
||||
if any, should be retried.
|
||||
timeout (float): The timeout for this request.
|
||||
metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
|
||||
sent along with the request as metadata. Normally, each value must be of type `str`,
|
||||
but for metadata keys ending with the suffix `-bin`, the corresponding values must
|
||||
be of type `bytes`.
|
||||
"""
|
||||
self._method = method
|
||||
self._request = cloud_speech.ListRecognizersRequest(request)
|
||||
self._response = response
|
||||
self._retry = retry
|
||||
self._timeout = timeout
|
||||
self._metadata = metadata
|
||||
|
||||
def __getattr__(self, name: str) -> Any:
|
||||
return getattr(self._response, name)
|
||||
|
||||
@property
|
||||
async def pages(self) -> AsyncIterator[cloud_speech.ListRecognizersResponse]:
|
||||
yield self._response
|
||||
while self._response.next_page_token:
|
||||
self._request.page_token = self._response.next_page_token
|
||||
self._response = await self._method(
|
||||
self._request,
|
||||
retry=self._retry,
|
||||
timeout=self._timeout,
|
||||
metadata=self._metadata,
|
||||
)
|
||||
yield self._response
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[cloud_speech.Recognizer]:
|
||||
async def async_generator():
|
||||
async for page in self.pages:
|
||||
for response in page.recognizers:
|
||||
yield response
|
||||
|
||||
return async_generator()
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
|
||||
|
||||
|
||||
class ListCustomClassesPager:
|
||||
"""A pager for iterating through ``list_custom_classes`` requests.
|
||||
|
||||
This class thinly wraps an initial
|
||||
:class:`google.cloud.speech_v2.types.ListCustomClassesResponse` object, and
|
||||
provides an ``__iter__`` method to iterate through its
|
||||
``custom_classes`` field.
|
||||
|
||||
If there are more pages, the ``__iter__`` method will make additional
|
||||
``ListCustomClasses`` requests and continue to iterate
|
||||
through the ``custom_classes`` field on the
|
||||
corresponding responses.
|
||||
|
||||
All the usual :class:`google.cloud.speech_v2.types.ListCustomClassesResponse`
|
||||
attributes are available on the pager. If multiple requests are made, only
|
||||
the most recent response is retained, and thus used for attribute lookup.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
method: Callable[..., cloud_speech.ListCustomClassesResponse],
|
||||
request: cloud_speech.ListCustomClassesRequest,
|
||||
response: cloud_speech.ListCustomClassesResponse,
|
||||
*,
|
||||
retry: OptionalRetry = gapic_v1.method.DEFAULT,
|
||||
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
|
||||
metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()
|
||||
):
|
||||
"""Instantiate the pager.
|
||||
|
||||
Args:
|
||||
method (Callable): The method that was originally called, and
|
||||
which instantiated this pager.
|
||||
request (google.cloud.speech_v2.types.ListCustomClassesRequest):
|
||||
The initial request object.
|
||||
response (google.cloud.speech_v2.types.ListCustomClassesResponse):
|
||||
The initial response object.
|
||||
retry (google.api_core.retry.Retry): Designation of what errors,
|
||||
if any, should be retried.
|
||||
timeout (float): The timeout for this request.
|
||||
metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
|
||||
sent along with the request as metadata. Normally, each value must be of type `str`,
|
||||
but for metadata keys ending with the suffix `-bin`, the corresponding values must
|
||||
be of type `bytes`.
|
||||
"""
|
||||
self._method = method
|
||||
self._request = cloud_speech.ListCustomClassesRequest(request)
|
||||
self._response = response
|
||||
self._retry = retry
|
||||
self._timeout = timeout
|
||||
self._metadata = metadata
|
||||
|
||||
def __getattr__(self, name: str) -> Any:
|
||||
return getattr(self._response, name)
|
||||
|
||||
@property
|
||||
def pages(self) -> Iterator[cloud_speech.ListCustomClassesResponse]:
|
||||
yield self._response
|
||||
while self._response.next_page_token:
|
||||
self._request.page_token = self._response.next_page_token
|
||||
self._response = self._method(
|
||||
self._request,
|
||||
retry=self._retry,
|
||||
timeout=self._timeout,
|
||||
metadata=self._metadata,
|
||||
)
|
||||
yield self._response
|
||||
|
||||
def __iter__(self) -> Iterator[cloud_speech.CustomClass]:
|
||||
for page in self.pages:
|
||||
yield from page.custom_classes
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
|
||||
|
||||
|
||||
class ListCustomClassesAsyncPager:
|
||||
"""A pager for iterating through ``list_custom_classes`` requests.
|
||||
|
||||
This class thinly wraps an initial
|
||||
:class:`google.cloud.speech_v2.types.ListCustomClassesResponse` object, and
|
||||
provides an ``__aiter__`` method to iterate through its
|
||||
``custom_classes`` field.
|
||||
|
||||
If there are more pages, the ``__aiter__`` method will make additional
|
||||
``ListCustomClasses`` requests and continue to iterate
|
||||
through the ``custom_classes`` field on the
|
||||
corresponding responses.
|
||||
|
||||
All the usual :class:`google.cloud.speech_v2.types.ListCustomClassesResponse`
|
||||
attributes are available on the pager. If multiple requests are made, only
|
||||
the most recent response is retained, and thus used for attribute lookup.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
method: Callable[..., Awaitable[cloud_speech.ListCustomClassesResponse]],
|
||||
request: cloud_speech.ListCustomClassesRequest,
|
||||
response: cloud_speech.ListCustomClassesResponse,
|
||||
*,
|
||||
retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
|
||||
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
|
||||
metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()
|
||||
):
|
||||
"""Instantiates the pager.
|
||||
|
||||
Args:
|
||||
method (Callable): The method that was originally called, and
|
||||
which instantiated this pager.
|
||||
request (google.cloud.speech_v2.types.ListCustomClassesRequest):
|
||||
The initial request object.
|
||||
response (google.cloud.speech_v2.types.ListCustomClassesResponse):
|
||||
The initial response object.
|
||||
retry (google.api_core.retry.AsyncRetry): Designation of what errors,
|
||||
if any, should be retried.
|
||||
timeout (float): The timeout for this request.
|
||||
metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
|
||||
sent along with the request as metadata. Normally, each value must be of type `str`,
|
||||
but for metadata keys ending with the suffix `-bin`, the corresponding values must
|
||||
be of type `bytes`.
|
||||
"""
|
||||
self._method = method
|
||||
self._request = cloud_speech.ListCustomClassesRequest(request)
|
||||
self._response = response
|
||||
self._retry = retry
|
||||
self._timeout = timeout
|
||||
self._metadata = metadata
|
||||
|
||||
def __getattr__(self, name: str) -> Any:
|
||||
return getattr(self._response, name)
|
||||
|
||||
@property
|
||||
async def pages(self) -> AsyncIterator[cloud_speech.ListCustomClassesResponse]:
|
||||
yield self._response
|
||||
while self._response.next_page_token:
|
||||
self._request.page_token = self._response.next_page_token
|
||||
self._response = await self._method(
|
||||
self._request,
|
||||
retry=self._retry,
|
||||
timeout=self._timeout,
|
||||
metadata=self._metadata,
|
||||
)
|
||||
yield self._response
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[cloud_speech.CustomClass]:
|
||||
async def async_generator():
|
||||
async for page in self.pages:
|
||||
for response in page.custom_classes:
|
||||
yield response
|
||||
|
||||
return async_generator()
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
|
||||
|
||||
|
||||
class ListPhraseSetsPager:
|
||||
"""A pager for iterating through ``list_phrase_sets`` requests.
|
||||
|
||||
This class thinly wraps an initial
|
||||
:class:`google.cloud.speech_v2.types.ListPhraseSetsResponse` object, and
|
||||
provides an ``__iter__`` method to iterate through its
|
||||
``phrase_sets`` field.
|
||||
|
||||
If there are more pages, the ``__iter__`` method will make additional
|
||||
``ListPhraseSets`` requests and continue to iterate
|
||||
through the ``phrase_sets`` field on the
|
||||
corresponding responses.
|
||||
|
||||
All the usual :class:`google.cloud.speech_v2.types.ListPhraseSetsResponse`
|
||||
attributes are available on the pager. If multiple requests are made, only
|
||||
the most recent response is retained, and thus used for attribute lookup.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
method: Callable[..., cloud_speech.ListPhraseSetsResponse],
|
||||
request: cloud_speech.ListPhraseSetsRequest,
|
||||
response: cloud_speech.ListPhraseSetsResponse,
|
||||
*,
|
||||
retry: OptionalRetry = gapic_v1.method.DEFAULT,
|
||||
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
|
||||
metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()
|
||||
):
|
||||
"""Instantiate the pager.
|
||||
|
||||
Args:
|
||||
method (Callable): The method that was originally called, and
|
||||
which instantiated this pager.
|
||||
request (google.cloud.speech_v2.types.ListPhraseSetsRequest):
|
||||
The initial request object.
|
||||
response (google.cloud.speech_v2.types.ListPhraseSetsResponse):
|
||||
The initial response object.
|
||||
retry (google.api_core.retry.Retry): Designation of what errors,
|
||||
if any, should be retried.
|
||||
timeout (float): The timeout for this request.
|
||||
metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
|
||||
sent along with the request as metadata. Normally, each value must be of type `str`,
|
||||
but for metadata keys ending with the suffix `-bin`, the corresponding values must
|
||||
be of type `bytes`.
|
||||
"""
|
||||
self._method = method
|
||||
self._request = cloud_speech.ListPhraseSetsRequest(request)
|
||||
self._response = response
|
||||
self._retry = retry
|
||||
self._timeout = timeout
|
||||
self._metadata = metadata
|
||||
|
||||
def __getattr__(self, name: str) -> Any:
|
||||
return getattr(self._response, name)
|
||||
|
||||
@property
|
||||
def pages(self) -> Iterator[cloud_speech.ListPhraseSetsResponse]:
|
||||
yield self._response
|
||||
while self._response.next_page_token:
|
||||
self._request.page_token = self._response.next_page_token
|
||||
self._response = self._method(
|
||||
self._request,
|
||||
retry=self._retry,
|
||||
timeout=self._timeout,
|
||||
metadata=self._metadata,
|
||||
)
|
||||
yield self._response
|
||||
|
||||
def __iter__(self) -> Iterator[cloud_speech.PhraseSet]:
|
||||
for page in self.pages:
|
||||
yield from page.phrase_sets
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
|
||||
|
||||
|
||||
class ListPhraseSetsAsyncPager:
|
||||
"""A pager for iterating through ``list_phrase_sets`` requests.
|
||||
|
||||
This class thinly wraps an initial
|
||||
:class:`google.cloud.speech_v2.types.ListPhraseSetsResponse` object, and
|
||||
provides an ``__aiter__`` method to iterate through its
|
||||
``phrase_sets`` field.
|
||||
|
||||
If there are more pages, the ``__aiter__`` method will make additional
|
||||
``ListPhraseSets`` requests and continue to iterate
|
||||
through the ``phrase_sets`` field on the
|
||||
corresponding responses.
|
||||
|
||||
All the usual :class:`google.cloud.speech_v2.types.ListPhraseSetsResponse`
|
||||
attributes are available on the pager. If multiple requests are made, only
|
||||
the most recent response is retained, and thus used for attribute lookup.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
method: Callable[..., Awaitable[cloud_speech.ListPhraseSetsResponse]],
|
||||
request: cloud_speech.ListPhraseSetsRequest,
|
||||
response: cloud_speech.ListPhraseSetsResponse,
|
||||
*,
|
||||
retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT,
|
||||
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
|
||||
metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()
|
||||
):
|
||||
"""Instantiates the pager.
|
||||
|
||||
Args:
|
||||
method (Callable): The method that was originally called, and
|
||||
which instantiated this pager.
|
||||
request (google.cloud.speech_v2.types.ListPhraseSetsRequest):
|
||||
The initial request object.
|
||||
response (google.cloud.speech_v2.types.ListPhraseSetsResponse):
|
||||
The initial response object.
|
||||
retry (google.api_core.retry.AsyncRetry): Designation of what errors,
|
||||
if any, should be retried.
|
||||
timeout (float): The timeout for this request.
|
||||
metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
|
||||
sent along with the request as metadata. Normally, each value must be of type `str`,
|
||||
but for metadata keys ending with the suffix `-bin`, the corresponding values must
|
||||
be of type `bytes`.
|
||||
"""
|
||||
self._method = method
|
||||
self._request = cloud_speech.ListPhraseSetsRequest(request)
|
||||
self._response = response
|
||||
self._retry = retry
|
||||
self._timeout = timeout
|
||||
self._metadata = metadata
|
||||
|
||||
def __getattr__(self, name: str) -> Any:
|
||||
return getattr(self._response, name)
|
||||
|
||||
@property
|
||||
async def pages(self) -> AsyncIterator[cloud_speech.ListPhraseSetsResponse]:
|
||||
yield self._response
|
||||
while self._response.next_page_token:
|
||||
self._request.page_token = self._response.next_page_token
|
||||
self._response = await self._method(
|
||||
self._request,
|
||||
retry=self._retry,
|
||||
timeout=self._timeout,
|
||||
metadata=self._metadata,
|
||||
)
|
||||
yield self._response
|
||||
|
||||
def __aiter__(self) -> AsyncIterator[cloud_speech.PhraseSet]:
|
||||
async def async_generator():
|
||||
async for page in self.pages:
|
||||
for response in page.phrase_sets:
|
||||
yield response
|
||||
|
||||
return async_generator()
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
|
||||
@@ -0,0 +1,36 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# Copyright 2025 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.
|
||||
#
|
||||
from collections import OrderedDict
|
||||
from typing import Dict, Type
|
||||
|
||||
from .base import SpeechTransport
|
||||
from .grpc import SpeechGrpcTransport
|
||||
from .grpc_asyncio import SpeechGrpcAsyncIOTransport
|
||||
from .rest import SpeechRestInterceptor, SpeechRestTransport
|
||||
|
||||
# Compile a registry of transports.
|
||||
_transport_registry = OrderedDict() # type: Dict[str, Type[SpeechTransport]]
|
||||
_transport_registry["grpc"] = SpeechGrpcTransport
|
||||
_transport_registry["grpc_asyncio"] = SpeechGrpcAsyncIOTransport
|
||||
_transport_registry["rest"] = SpeechRestTransport
|
||||
|
||||
__all__ = (
|
||||
"SpeechTransport",
|
||||
"SpeechGrpcTransport",
|
||||
"SpeechGrpcAsyncIOTransport",
|
||||
"SpeechRestTransport",
|
||||
"SpeechRestInterceptor",
|
||||
)
|
||||
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
@@ -0,0 +1,574 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# Copyright 2025 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 abc
|
||||
from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
|
||||
|
||||
import google.api_core
|
||||
from google.api_core import exceptions as core_exceptions
|
||||
from google.api_core import gapic_v1, operations_v1
|
||||
from google.api_core import retry as retries
|
||||
import google.auth # type: ignore
|
||||
from google.auth import credentials as ga_credentials # type: ignore
|
||||
from google.cloud.location import locations_pb2 # type: ignore
|
||||
from google.longrunning import operations_pb2 # type: ignore
|
||||
from google.oauth2 import service_account # type: ignore
|
||||
|
||||
from google.cloud.speech_v2 import gapic_version as package_version
|
||||
from google.cloud.speech_v2.types import cloud_speech
|
||||
|
||||
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
|
||||
gapic_version=package_version.__version__
|
||||
)
|
||||
|
||||
|
||||
class SpeechTransport(abc.ABC):
|
||||
"""Abstract transport class for Speech."""
|
||||
|
||||
AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",)
|
||||
|
||||
DEFAULT_HOST: str = "speech.googleapis.com"
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
host: str = DEFAULT_HOST,
|
||||
credentials: Optional[ga_credentials.Credentials] = None,
|
||||
credentials_file: Optional[str] = None,
|
||||
scopes: Optional[Sequence[str]] = None,
|
||||
quota_project_id: Optional[str] = None,
|
||||
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
|
||||
always_use_jwt_access: Optional[bool] = False,
|
||||
api_audience: Optional[str] = None,
|
||||
**kwargs,
|
||||
) -> None:
|
||||
"""Instantiate the transport.
|
||||
|
||||
Args:
|
||||
host (Optional[str]):
|
||||
The hostname to connect to (default: 'speech.googleapis.com').
|
||||
credentials (Optional[google.auth.credentials.Credentials]): The
|
||||
authorization credentials to attach to requests. These
|
||||
credentials identify the application to the service; if none
|
||||
are specified, the client will attempt to ascertain the
|
||||
credentials from the environment.
|
||||
credentials_file (Optional[str]): A file with credentials that can
|
||||
be loaded with :func:`google.auth.load_credentials_from_file`.
|
||||
This argument is mutually exclusive with credentials.
|
||||
scopes (Optional[Sequence[str]]): A list of scopes.
|
||||
quota_project_id (Optional[str]): An optional project to use for billing
|
||||
and quota.
|
||||
client_info (google.api_core.gapic_v1.client_info.ClientInfo):
|
||||
The client info used to send a user-agent string along with
|
||||
API requests. If ``None``, then default info will be used.
|
||||
Generally, you only need to set this if you're developing
|
||||
your own client library.
|
||||
always_use_jwt_access (Optional[bool]): Whether self signed JWT should
|
||||
be used for service account credentials.
|
||||
"""
|
||||
|
||||
scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
|
||||
|
||||
# Save the scopes.
|
||||
self._scopes = scopes
|
||||
if not hasattr(self, "_ignore_credentials"):
|
||||
self._ignore_credentials: bool = False
|
||||
|
||||
# If no credentials are provided, then determine the appropriate
|
||||
# defaults.
|
||||
if credentials and credentials_file:
|
||||
raise core_exceptions.DuplicateCredentialArgs(
|
||||
"'credentials_file' and 'credentials' are mutually exclusive"
|
||||
)
|
||||
|
||||
if credentials_file is not None:
|
||||
credentials, _ = google.auth.load_credentials_from_file(
|
||||
credentials_file, **scopes_kwargs, quota_project_id=quota_project_id
|
||||
)
|
||||
elif credentials is None and not self._ignore_credentials:
|
||||
credentials, _ = google.auth.default(
|
||||
**scopes_kwargs, quota_project_id=quota_project_id
|
||||
)
|
||||
# Don't apply audience if the credentials file passed from user.
|
||||
if hasattr(credentials, "with_gdch_audience"):
|
||||
credentials = credentials.with_gdch_audience(
|
||||
api_audience if api_audience else host
|
||||
)
|
||||
|
||||
# If the credentials are service account credentials, then always try to use self signed JWT.
|
||||
if (
|
||||
always_use_jwt_access
|
||||
and isinstance(credentials, service_account.Credentials)
|
||||
and hasattr(service_account.Credentials, "with_always_use_jwt_access")
|
||||
):
|
||||
credentials = credentials.with_always_use_jwt_access(True)
|
||||
|
||||
# Save the credentials.
|
||||
self._credentials = credentials
|
||||
|
||||
# Save the hostname. Default to port 443 (HTTPS) if none is specified.
|
||||
if ":" not in host:
|
||||
host += ":443"
|
||||
self._host = host
|
||||
|
||||
@property
|
||||
def host(self):
|
||||
return self._host
|
||||
|
||||
def _prep_wrapped_messages(self, client_info):
|
||||
# Precompute the wrapped methods.
|
||||
self._wrapped_methods = {
|
||||
self.create_recognizer: gapic_v1.method.wrap_method(
|
||||
self.create_recognizer,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.list_recognizers: gapic_v1.method.wrap_method(
|
||||
self.list_recognizers,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.get_recognizer: gapic_v1.method.wrap_method(
|
||||
self.get_recognizer,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.update_recognizer: gapic_v1.method.wrap_method(
|
||||
self.update_recognizer,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.delete_recognizer: gapic_v1.method.wrap_method(
|
||||
self.delete_recognizer,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.undelete_recognizer: gapic_v1.method.wrap_method(
|
||||
self.undelete_recognizer,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.recognize: gapic_v1.method.wrap_method(
|
||||
self.recognize,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.streaming_recognize: gapic_v1.method.wrap_method(
|
||||
self.streaming_recognize,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.batch_recognize: gapic_v1.method.wrap_method(
|
||||
self.batch_recognize,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.get_config: gapic_v1.method.wrap_method(
|
||||
self.get_config,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.update_config: gapic_v1.method.wrap_method(
|
||||
self.update_config,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.create_custom_class: gapic_v1.method.wrap_method(
|
||||
self.create_custom_class,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.list_custom_classes: gapic_v1.method.wrap_method(
|
||||
self.list_custom_classes,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.get_custom_class: gapic_v1.method.wrap_method(
|
||||
self.get_custom_class,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.update_custom_class: gapic_v1.method.wrap_method(
|
||||
self.update_custom_class,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.delete_custom_class: gapic_v1.method.wrap_method(
|
||||
self.delete_custom_class,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.undelete_custom_class: gapic_v1.method.wrap_method(
|
||||
self.undelete_custom_class,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.create_phrase_set: gapic_v1.method.wrap_method(
|
||||
self.create_phrase_set,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.list_phrase_sets: gapic_v1.method.wrap_method(
|
||||
self.list_phrase_sets,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.get_phrase_set: gapic_v1.method.wrap_method(
|
||||
self.get_phrase_set,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.update_phrase_set: gapic_v1.method.wrap_method(
|
||||
self.update_phrase_set,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.delete_phrase_set: gapic_v1.method.wrap_method(
|
||||
self.delete_phrase_set,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.undelete_phrase_set: gapic_v1.method.wrap_method(
|
||||
self.undelete_phrase_set,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.get_location: gapic_v1.method.wrap_method(
|
||||
self.get_location,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.list_locations: gapic_v1.method.wrap_method(
|
||||
self.list_locations,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.cancel_operation: gapic_v1.method.wrap_method(
|
||||
self.cancel_operation,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.delete_operation: gapic_v1.method.wrap_method(
|
||||
self.delete_operation,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.get_operation: gapic_v1.method.wrap_method(
|
||||
self.get_operation,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
self.list_operations: gapic_v1.method.wrap_method(
|
||||
self.list_operations,
|
||||
default_timeout=None,
|
||||
client_info=client_info,
|
||||
),
|
||||
}
|
||||
|
||||
def close(self):
|
||||
"""Closes resources associated with the transport.
|
||||
|
||||
.. warning::
|
||||
Only call this method if the transport is NOT shared
|
||||
with other clients - this may cause errors in other clients!
|
||||
"""
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def operations_client(self):
|
||||
"""Return the client designed to process long-running operations."""
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def create_recognizer(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.CreateRecognizerRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def list_recognizers(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.ListRecognizersRequest],
|
||||
Union[
|
||||
cloud_speech.ListRecognizersResponse,
|
||||
Awaitable[cloud_speech.ListRecognizersResponse],
|
||||
],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def get_recognizer(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.GetRecognizerRequest],
|
||||
Union[cloud_speech.Recognizer, Awaitable[cloud_speech.Recognizer]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def update_recognizer(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.UpdateRecognizerRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def delete_recognizer(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.DeleteRecognizerRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def undelete_recognizer(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.UndeleteRecognizerRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def recognize(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.RecognizeRequest],
|
||||
Union[
|
||||
cloud_speech.RecognizeResponse, Awaitable[cloud_speech.RecognizeResponse]
|
||||
],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def streaming_recognize(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.StreamingRecognizeRequest],
|
||||
Union[
|
||||
cloud_speech.StreamingRecognizeResponse,
|
||||
Awaitable[cloud_speech.StreamingRecognizeResponse],
|
||||
],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def batch_recognize(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.BatchRecognizeRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def get_config(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.GetConfigRequest],
|
||||
Union[cloud_speech.Config, Awaitable[cloud_speech.Config]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def update_config(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.UpdateConfigRequest],
|
||||
Union[cloud_speech.Config, Awaitable[cloud_speech.Config]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def create_custom_class(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.CreateCustomClassRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def list_custom_classes(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.ListCustomClassesRequest],
|
||||
Union[
|
||||
cloud_speech.ListCustomClassesResponse,
|
||||
Awaitable[cloud_speech.ListCustomClassesResponse],
|
||||
],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def get_custom_class(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.GetCustomClassRequest],
|
||||
Union[cloud_speech.CustomClass, Awaitable[cloud_speech.CustomClass]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def update_custom_class(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.UpdateCustomClassRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def delete_custom_class(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.DeleteCustomClassRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def undelete_custom_class(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.UndeleteCustomClassRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def create_phrase_set(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.CreatePhraseSetRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def list_phrase_sets(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.ListPhraseSetsRequest],
|
||||
Union[
|
||||
cloud_speech.ListPhraseSetsResponse,
|
||||
Awaitable[cloud_speech.ListPhraseSetsResponse],
|
||||
],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def get_phrase_set(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.GetPhraseSetRequest],
|
||||
Union[cloud_speech.PhraseSet, Awaitable[cloud_speech.PhraseSet]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def update_phrase_set(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.UpdatePhraseSetRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def delete_phrase_set(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.DeletePhraseSetRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def undelete_phrase_set(
|
||||
self,
|
||||
) -> Callable[
|
||||
[cloud_speech.UndeletePhraseSetRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def list_operations(
|
||||
self,
|
||||
) -> Callable[
|
||||
[operations_pb2.ListOperationsRequest],
|
||||
Union[
|
||||
operations_pb2.ListOperationsResponse,
|
||||
Awaitable[operations_pb2.ListOperationsResponse],
|
||||
],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def get_operation(
|
||||
self,
|
||||
) -> Callable[
|
||||
[operations_pb2.GetOperationRequest],
|
||||
Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def cancel_operation(
|
||||
self,
|
||||
) -> Callable[[operations_pb2.CancelOperationRequest], None,]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def delete_operation(
|
||||
self,
|
||||
) -> Callable[[operations_pb2.DeleteOperationRequest], None,]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def get_location(
|
||||
self,
|
||||
) -> Callable[
|
||||
[locations_pb2.GetLocationRequest],
|
||||
Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def list_locations(
|
||||
self,
|
||||
) -> Callable[
|
||||
[locations_pb2.ListLocationsRequest],
|
||||
Union[
|
||||
locations_pb2.ListLocationsResponse,
|
||||
Awaitable[locations_pb2.ListLocationsResponse],
|
||||
],
|
||||
]:
|
||||
raise NotImplementedError()
|
||||
|
||||
@property
|
||||
def kind(self) -> str:
|
||||
raise NotImplementedError()
|
||||
|
||||
|
||||
__all__ = ("SpeechTransport",)
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,160 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# Copyright 2025 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.
|
||||
#
|
||||
from .cloud_speech import (
|
||||
AutoDetectDecodingConfig,
|
||||
BatchRecognizeFileMetadata,
|
||||
BatchRecognizeFileResult,
|
||||
BatchRecognizeMetadata,
|
||||
BatchRecognizeRequest,
|
||||
BatchRecognizeResponse,
|
||||
BatchRecognizeResults,
|
||||
BatchRecognizeTranscriptionMetadata,
|
||||
CloudStorageResult,
|
||||
Config,
|
||||
CreateCustomClassRequest,
|
||||
CreatePhraseSetRequest,
|
||||
CreateRecognizerRequest,
|
||||
CustomClass,
|
||||
DeleteCustomClassRequest,
|
||||
DeletePhraseSetRequest,
|
||||
DeleteRecognizerRequest,
|
||||
ExplicitDecodingConfig,
|
||||
GcsOutputConfig,
|
||||
GetConfigRequest,
|
||||
GetCustomClassRequest,
|
||||
GetPhraseSetRequest,
|
||||
GetRecognizerRequest,
|
||||
InlineOutputConfig,
|
||||
InlineResult,
|
||||
ListCustomClassesRequest,
|
||||
ListCustomClassesResponse,
|
||||
ListPhraseSetsRequest,
|
||||
ListPhraseSetsResponse,
|
||||
ListRecognizersRequest,
|
||||
ListRecognizersResponse,
|
||||
NativeOutputFileFormatConfig,
|
||||
OperationMetadata,
|
||||
OutputFormatConfig,
|
||||
PhraseSet,
|
||||
RecognitionConfig,
|
||||
RecognitionFeatures,
|
||||
RecognitionOutputConfig,
|
||||
RecognitionResponseMetadata,
|
||||
Recognizer,
|
||||
RecognizeRequest,
|
||||
RecognizeResponse,
|
||||
SpeakerDiarizationConfig,
|
||||
SpeechAdaptation,
|
||||
SpeechRecognitionAlternative,
|
||||
SpeechRecognitionResult,
|
||||
SrtOutputFileFormatConfig,
|
||||
StreamingRecognitionConfig,
|
||||
StreamingRecognitionFeatures,
|
||||
StreamingRecognitionResult,
|
||||
StreamingRecognizeRequest,
|
||||
StreamingRecognizeResponse,
|
||||
TranscriptNormalization,
|
||||
TranslationConfig,
|
||||
UndeleteCustomClassRequest,
|
||||
UndeletePhraseSetRequest,
|
||||
UndeleteRecognizerRequest,
|
||||
UpdateConfigRequest,
|
||||
UpdateCustomClassRequest,
|
||||
UpdatePhraseSetRequest,
|
||||
UpdateRecognizerRequest,
|
||||
VttOutputFileFormatConfig,
|
||||
WordInfo,
|
||||
)
|
||||
from .locations_metadata import (
|
||||
AccessMetadata,
|
||||
LanguageMetadata,
|
||||
LocationsMetadata,
|
||||
ModelFeature,
|
||||
ModelFeatures,
|
||||
ModelMetadata,
|
||||
)
|
||||
|
||||
__all__ = (
|
||||
"AutoDetectDecodingConfig",
|
||||
"BatchRecognizeFileMetadata",
|
||||
"BatchRecognizeFileResult",
|
||||
"BatchRecognizeMetadata",
|
||||
"BatchRecognizeRequest",
|
||||
"BatchRecognizeResponse",
|
||||
"BatchRecognizeResults",
|
||||
"BatchRecognizeTranscriptionMetadata",
|
||||
"CloudStorageResult",
|
||||
"Config",
|
||||
"CreateCustomClassRequest",
|
||||
"CreatePhraseSetRequest",
|
||||
"CreateRecognizerRequest",
|
||||
"CustomClass",
|
||||
"DeleteCustomClassRequest",
|
||||
"DeletePhraseSetRequest",
|
||||
"DeleteRecognizerRequest",
|
||||
"ExplicitDecodingConfig",
|
||||
"GcsOutputConfig",
|
||||
"GetConfigRequest",
|
||||
"GetCustomClassRequest",
|
||||
"GetPhraseSetRequest",
|
||||
"GetRecognizerRequest",
|
||||
"InlineOutputConfig",
|
||||
"InlineResult",
|
||||
"ListCustomClassesRequest",
|
||||
"ListCustomClassesResponse",
|
||||
"ListPhraseSetsRequest",
|
||||
"ListPhraseSetsResponse",
|
||||
"ListRecognizersRequest",
|
||||
"ListRecognizersResponse",
|
||||
"NativeOutputFileFormatConfig",
|
||||
"OperationMetadata",
|
||||
"OutputFormatConfig",
|
||||
"PhraseSet",
|
||||
"RecognitionConfig",
|
||||
"RecognitionFeatures",
|
||||
"RecognitionOutputConfig",
|
||||
"RecognitionResponseMetadata",
|
||||
"Recognizer",
|
||||
"RecognizeRequest",
|
||||
"RecognizeResponse",
|
||||
"SpeakerDiarizationConfig",
|
||||
"SpeechAdaptation",
|
||||
"SpeechRecognitionAlternative",
|
||||
"SpeechRecognitionResult",
|
||||
"SrtOutputFileFormatConfig",
|
||||
"StreamingRecognitionConfig",
|
||||
"StreamingRecognitionFeatures",
|
||||
"StreamingRecognitionResult",
|
||||
"StreamingRecognizeRequest",
|
||||
"StreamingRecognizeResponse",
|
||||
"TranscriptNormalization",
|
||||
"TranslationConfig",
|
||||
"UndeleteCustomClassRequest",
|
||||
"UndeletePhraseSetRequest",
|
||||
"UndeleteRecognizerRequest",
|
||||
"UpdateConfigRequest",
|
||||
"UpdateCustomClassRequest",
|
||||
"UpdatePhraseSetRequest",
|
||||
"UpdateRecognizerRequest",
|
||||
"VttOutputFileFormatConfig",
|
||||
"WordInfo",
|
||||
"AccessMetadata",
|
||||
"LanguageMetadata",
|
||||
"LocationsMetadata",
|
||||
"ModelFeature",
|
||||
"ModelFeatures",
|
||||
"ModelMetadata",
|
||||
)
|
||||
Binary file not shown.
Binary file not shown.
Binary file not shown.
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,169 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# Copyright 2025 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.
|
||||
#
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import MutableMapping, MutableSequence
|
||||
|
||||
import proto # type: ignore
|
||||
|
||||
__protobuf__ = proto.module(
|
||||
package="google.cloud.speech.v2",
|
||||
manifest={
|
||||
"ModelFeature",
|
||||
"ModelFeatures",
|
||||
"ModelMetadata",
|
||||
"LanguageMetadata",
|
||||
"AccessMetadata",
|
||||
"LocationsMetadata",
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
class ModelFeature(proto.Message):
|
||||
r"""Representes a singular feature of a model. If the feature is
|
||||
``recognizer``, the release_state of the feature represents the
|
||||
release_state of the model
|
||||
|
||||
Attributes:
|
||||
feature (str):
|
||||
The name of the feature (Note: the feature can be
|
||||
``recognizer``)
|
||||
release_state (str):
|
||||
The release state of the feature
|
||||
"""
|
||||
|
||||
feature: str = proto.Field(
|
||||
proto.STRING,
|
||||
number=1,
|
||||
)
|
||||
release_state: str = proto.Field(
|
||||
proto.STRING,
|
||||
number=2,
|
||||
)
|
||||
|
||||
|
||||
class ModelFeatures(proto.Message):
|
||||
r"""Represents the collection of features belonging to a model
|
||||
|
||||
Attributes:
|
||||
model_feature (MutableSequence[google.cloud.speech_v2.types.ModelFeature]):
|
||||
Repeated field that contains all features of
|
||||
the model
|
||||
"""
|
||||
|
||||
model_feature: MutableSequence["ModelFeature"] = proto.RepeatedField(
|
||||
proto.MESSAGE,
|
||||
number=1,
|
||||
message="ModelFeature",
|
||||
)
|
||||
|
||||
|
||||
class ModelMetadata(proto.Message):
|
||||
r"""The metadata about the models in a given region for a
|
||||
specific locale. Currently this is just the features of the
|
||||
model
|
||||
|
||||
Attributes:
|
||||
model_features (MutableMapping[str, google.cloud.speech_v2.types.ModelFeatures]):
|
||||
Map of the model name -> features of that
|
||||
model
|
||||
"""
|
||||
|
||||
model_features: MutableMapping[str, "ModelFeatures"] = proto.MapField(
|
||||
proto.STRING,
|
||||
proto.MESSAGE,
|
||||
number=1,
|
||||
message="ModelFeatures",
|
||||
)
|
||||
|
||||
|
||||
class LanguageMetadata(proto.Message):
|
||||
r"""The metadata about locales available in a given region.
|
||||
Currently this is just the models that are available for each
|
||||
locale
|
||||
|
||||
Attributes:
|
||||
models (MutableMapping[str, google.cloud.speech_v2.types.ModelMetadata]):
|
||||
Map of locale (language code) -> models
|
||||
"""
|
||||
|
||||
models: MutableMapping[str, "ModelMetadata"] = proto.MapField(
|
||||
proto.STRING,
|
||||
proto.MESSAGE,
|
||||
number=1,
|
||||
message="ModelMetadata",
|
||||
)
|
||||
|
||||
|
||||
class AccessMetadata(proto.Message):
|
||||
r"""The access metadata for a particular region. This can be
|
||||
applied if the org policy for the given project disallows a
|
||||
particular region.
|
||||
|
||||
Attributes:
|
||||
constraint_type (google.cloud.speech_v2.types.AccessMetadata.ConstraintType):
|
||||
Describes the different types of constraints
|
||||
that are applied.
|
||||
"""
|
||||
|
||||
class ConstraintType(proto.Enum):
|
||||
r"""Describes the different types of constraints that can be
|
||||
applied on a region.
|
||||
|
||||
Values:
|
||||
CONSTRAINT_TYPE_UNSPECIFIED (0):
|
||||
Unspecified constraint applied.
|
||||
RESOURCE_LOCATIONS_ORG_POLICY_CREATE_CONSTRAINT (1):
|
||||
The project's org policy disallows the given
|
||||
region.
|
||||
"""
|
||||
CONSTRAINT_TYPE_UNSPECIFIED = 0
|
||||
RESOURCE_LOCATIONS_ORG_POLICY_CREATE_CONSTRAINT = 1
|
||||
|
||||
constraint_type: ConstraintType = proto.Field(
|
||||
proto.ENUM,
|
||||
number=1,
|
||||
enum=ConstraintType,
|
||||
)
|
||||
|
||||
|
||||
class LocationsMetadata(proto.Message):
|
||||
r"""Main metadata for the Locations API for STT V2. Currently
|
||||
this is just the metadata about locales, models, and features
|
||||
|
||||
Attributes:
|
||||
languages (google.cloud.speech_v2.types.LanguageMetadata):
|
||||
Information about available locales, models,
|
||||
and features represented in the hierarchical
|
||||
structure of locales -> models -> features
|
||||
access_metadata (google.cloud.speech_v2.types.AccessMetadata):
|
||||
Information about access metadata for the
|
||||
region and given project.
|
||||
"""
|
||||
|
||||
languages: "LanguageMetadata" = proto.Field(
|
||||
proto.MESSAGE,
|
||||
number=1,
|
||||
message="LanguageMetadata",
|
||||
)
|
||||
access_metadata: "AccessMetadata" = proto.Field(
|
||||
proto.MESSAGE,
|
||||
number=2,
|
||||
message="AccessMetadata",
|
||||
)
|
||||
|
||||
|
||||
__all__ = tuple(sorted(__protobuf__.manifest))
|
||||
Reference in New Issue
Block a user