2.0.0 Migration Guide¶
The 2.0 release of the google-cloud-language client is a significant upgrade based on a next-gen code generator, and includes substantial interface changes. Existing code written for earlier versions of this library will likely require updates to use this version. This document describes the changes that have been made, and what you need to do to update your usage.
If you experience issues or have questions, please file an issue.
Supported Python Versions¶
WARNING: Breaking change The 2.0.0 release requires Python 3.6+.
Method Calls¶
WARNING: Breaking change Methods expect request objects. We provide a script that will convert most common use cases.
Install the library and
libcst.
python3 -m pip install google-cloud-language[libcst]
The script
fixup_language_v1_keywords.pyis shipped with the library. It expects an input directory (with the code to convert) and an empty destination directory.
$ fixup_language_v1_keywords.py --input-directory .samples/ --output-directory samples/
Before:
from google.cloud import language_v1
language = language_v1.LanguageClient()
return language.analyze_sentiment(document=document).document_sentiment
After:
from google.cloud import language_v1
language = language_v1.LanguageServiceClient()
return language.analyze_sentiment(request={'document': document}).document_sentiment
More Details¶
In google-cloud-language<2.0.0, parameters required by the API were positional parameters and optional parameters were keyword parameters.
Before:
def analyze_sentiment(
self,
document,
encoding_type=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
In the 2.0.0 release, all methods have a single positional parameter request. Method docstrings indicate whether a parameter is required or optional.
Some methods have additional keyword only parameters. The available parameters depend on the google.api.method_signature annotation specified by the API producer.
After:
def analyze_sentiment(
self,
request: language_service.AnalyzeSentimentRequest = None,
*,
document: language_service.Document = None,
encoding_type: language_service.EncodingType = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> language_service.AnalyzeSentimentResponse:
NOTE: The
requestparameter and flattened keyword parameters for the API are mutually exclusive. Passing both will result in an error. Both of these calls are valid:
response = client.analyze_sentiment(
request={
"document": document,
"encoding_type": encoding_type
}
)
response = client.analyze_sentiment(
document=document,
encoding_type=encoding_type
) # Make an API request.
This call is invalid because it mixes request with a keyword argument entry_group. Executing this code
will result in an error.
response = client.analyze_sentiment(
request={
"document": document
},
encoding_type=encoding_type
)
Enums and Types¶
WARNING: Breaking change The submodules
enumsandtypeshave been removed. Before:
from google.cloud import language_v1
document = language_v1.types.Document(content=text, type=language_v1.enums.Document.Type.PLAIN_TEXT)
encoding_type = language_v1.enums.EncodingType.UTF8
After:
from google.cloud import language_v1
document = language_v1.Document(content=text, type_=language_v1.Document.Type.PLAIN_TEXT)
encoding_type = language_v1.EncodingType.UTF8
Project Path Helper Methods¶
The project path helper method project_path has been removed. Please construct
this path manually.
project = 'my-project'
project_path = f'projects/{project}'
