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from google.cloud.language_v1 import LanguageServiceClient
from airflow.contrib.hooks.gcp_api_base_hook import GoogleCloudBaseHook
# noinspection PyAbstractClass
[docs]class CloudNaturalLanguageHook(GoogleCloudBaseHook):
"""
Hook for Google Cloud Natural Language Service.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:type gcp_conn_id: str
:param delegate_to: The account to impersonate, if any.
For this to work, the service account making the request must have
domain-wide delegation enabled.
:type delegate_to: str
"""
def __init__(self, gcp_conn_id="google_cloud_default", delegate_to=None):
super(CloudNaturalLanguageHook, self).__init__(gcp_conn_id, delegate_to)
[docs] def get_conn(self):
"""
Retrieves connection to Cloud Natural Language service.
:return: Cloud Natural Language service object
:rtype: google.cloud.language_v1.LanguageServiceClient
"""
if not self._conn:
self._conn = LanguageServiceClient(credentials=self._get_credentials())
return self._conn
@GoogleCloudBaseHook.catch_http_exception
[docs] def analyze_entities(self, document, encoding_type=None, retry=None, timeout=None, metadata=None):
"""
Finds named entities in the text along with entity types,
salience, mentions for each entity, and other properties.
:param document: Input document.
If a dict is provided, it must be of the same form as the protobuf message Document
:type document: dict or class google.cloud.language_v1.types.Document
:param encoding_type: The encoding type used by the API to calculate offsets.
:type encoding_type: google.cloud.language_v1.types.EncodingType
:param retry: A retry object used to retry requests. If None is specified, requests will not be
retried.
:type retry: google.api_core.retry.Retry
:param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if
retry is specified, the timeout applies to each individual attempt.
:type timeout: float
:param metadata: Additional metadata that is provided to the method.
:type metadata: sequence[tuple[str, str]]]
:rtype: google.cloud.language_v1.types.AnalyzeEntitiesResponse
"""
client = self.get_conn()
return client.analyze_entities(
document=document, encoding_type=encoding_type, retry=retry, timeout=timeout, metadata=metadata
)
@GoogleCloudBaseHook.catch_http_exception
[docs] def analyze_entity_sentiment(self, document, encoding_type=None, retry=None, timeout=None, metadata=None):
"""
Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each
entity and its mentions.
:param document: Input document.
If a dict is provided, it must be of the same form as the protobuf message Document
:type document: dict or class google.cloud.language_v1.types.Document
:param encoding_type: The encoding type used by the API to calculate offsets.
:type encoding_type: google.cloud.language_v1.types.EncodingType
:param retry: A retry object used to retry requests. If None is specified, requests will not be
retried.
:type retry: google.api_core.retry.Retry
:param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if
retry is specified, the timeout applies to each individual attempt.
:type timeout: float
:param metadata: Additional metadata that is provided to the method.
:type metadata: sequence[tuple[str, str]]]
:rtype: google.cloud.language_v1.types.AnalyzeEntitiesResponse
"""
client = self.get_conn()
return client.analyze_entity_sentiment(
document=document, encoding_type=encoding_type, retry=retry, timeout=timeout, metadata=metadata
)
@GoogleCloudBaseHook.catch_http_exception
[docs] def analyze_sentiment(self, document, encoding_type=None, retry=None, timeout=None, metadata=None):
"""
Analyzes the sentiment of the provided text.
:param document: Input document.
If a dict is provided, it must be of the same form as the protobuf message Document
:type document: dict or class google.cloud.language_v1.types.Document
:param encoding_type: The encoding type used by the API to calculate offsets.
:type encoding_type: google.cloud.language_v1.types.EncodingType
:param retry: A retry object used to retry requests. If None is specified, requests will not be
retried.
:type retry: google.api_core.retry.Retry
:param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if
retry is specified, the timeout applies to each individual attempt.
:type timeout: float
:param metadata: Additional metadata that is provided to the method.
:type metadata: sequence[tuple[str, str]]]
:rtype: google.cloud.language_v1.types.AnalyzeEntitiesResponse
"""
client = self.get_conn()
return client.analyze_sentiment(
document=document, encoding_type=encoding_type, retry=retry, timeout=timeout, metadata=metadata
)
@GoogleCloudBaseHook.catch_http_exception
[docs] def analyze_syntax(self, document, encoding_type=None, retry=None, timeout=None, metadata=None):
"""
Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part
of speech tags, dependency trees, and other properties.
:param document: Input document.
If a dict is provided, it must be of the same form as the protobuf message Document
:type document: dict or class google.cloud.language_v1.types.Document#
:param encoding_type: The encoding type used by the API to calculate offsets.
:type encoding_type: google.cloud.language_v1.types.EncodingType
:param retry: A retry object used to retry requests. If None is specified, requests will not be
retried.
:type retry: google.api_core.retry.Retry
:param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if
retry is specified, the timeout applies to each individual attempt.
:type timeout: float
:param metadata: Additional metadata that is provided to the method.
:type metadata: sequence[tuple[str, str]]]
:rtype: google.cloud.language_v1.types.AnalyzeSyntaxResponse
"""
client = self.get_conn()
return client.analyze_syntax(
document=document, encoding_type=encoding_type, retry=retry, timeout=timeout, metadata=metadata
)
@GoogleCloudBaseHook.catch_http_exception
[docs] def annotate_text(self, document, features, encoding_type=None, retry=None, timeout=None, metadata=None):
"""
A convenience method that provides all the features that analyzeSentiment,
analyzeEntities, and analyzeSyntax provide in one call.
:param document: Input document.
If a dict is provided, it must be of the same form as the protobuf message Document
:type document: dict or google.cloud.language_v1.types.Document
:param features: The enabled features.
If a dict is provided, it must be of the same form as the protobuf message Features
:type features: dict or google.cloud.language_v1.enums.Features
:param encoding_type: The encoding type used by the API to calculate offsets.
:type encoding_type: google.cloud.language_v1.types.EncodingType
:param retry: A retry object used to retry requests. If None is specified, requests will not be
retried.
:type retry: google.api_core.retry.Retry
:param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if
retry is specified, the timeout applies to each individual attempt.
:type timeout: float
:param metadata: Additional metadata that is provided to the method.
:type metadata: sequence[tuple[str, str]]]
:rtype: google.cloud.language_v1.types.AnnotateTextResponse
"""
client = self.get_conn()
return client.annotate_text(
document=document,
features=features,
encoding_type=encoding_type,
retry=retry,
timeout=timeout,
metadata=metadata,
)
@GoogleCloudBaseHook.catch_http_exception
[docs] def classify_text(self, document, retry=None, timeout=None, metadata=None):
"""
Classifies a document into categories.
:param document: Input document.
If a dict is provided, it must be of the same form as the protobuf message Document
:type document: dict or class google.cloud.language_v1.types.Document
:param retry: A retry object used to retry requests. If None is specified, requests will not be
retried.
:type retry: google.api_core.retry.Retry
:param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if
retry is specified, the timeout applies to each individual attempt.
:type timeout: float
:param metadata: Additional metadata that is provided to the method.
:type metadata: sequence[tuple[str, str]]]
:rtype: google.cloud.language_v1.types.AnalyzeEntitiesResponse
"""
client = self.get_conn()
return client.classify_text(document=document, retry=retry, timeout=timeout, metadata=metadata)