airflow translate 源码
airflow translate 代码
文件路径:/airflow/providers/google/cloud/operators/translate.py
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# to you 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# under the License.
"""This module contains Google Translate operators."""
from __future__ import annotations
from typing import TYPE_CHECKING, Sequence
from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from airflow.providers.google.cloud.hooks.translate import CloudTranslateHook
if TYPE_CHECKING:
from airflow.utils.context import Context
class CloudTranslateTextOperator(BaseOperator):
"""
Translate a string or list of strings.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudTranslateTextOperator`
See https://cloud.google.com/translate/docs/translating-text
Execute method returns str or list.
This is a list of dictionaries for each queried value. Each
dictionary typically contains three keys (though not
all will be present in all cases).
* ``detectedSourceLanguage``: The detected language (as an
ISO 639-1 language code) of the text.
* ``translatedText``: The translation of the text into the
target language.
* ``input``: The corresponding input value.
* ``model``: The model used to translate the text.
If only a single value is passed, then only a single
dictionary is set as XCom return value.
:param values: String or list of strings to translate.
:param target_language: The language to translate results into. This
is required by the API and defaults to
the target language of the current instance.
:param format_: (Optional) One of ``text`` or ``html``, to specify
if the input text is plain text or HTML.
:param source_language: (Optional) The language of the text to
be translated.
:param model: (Optional) The model used to translate the text, such
as ``'base'`` or ``'nmt'``.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
"""
# [START translate_template_fields]
template_fields: Sequence[str] = (
'values',
'target_language',
'format_',
'source_language',
'model',
'gcp_conn_id',
'impersonation_chain',
)
# [END translate_template_fields]
def __init__(
self,
*,
values: list[str] | str,
target_language: str,
format_: str,
source_language: str | None,
model: str,
gcp_conn_id: str = 'google_cloud_default',
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.values = values
self.target_language = target_language
self.format_ = format_
self.source_language = source_language
self.model = model
self.gcp_conn_id = gcp_conn_id
self.impersonation_chain = impersonation_chain
def execute(self, context: Context) -> dict:
hook = CloudTranslateHook(
gcp_conn_id=self.gcp_conn_id,
impersonation_chain=self.impersonation_chain,
)
try:
translation = hook.translate(
values=self.values,
target_language=self.target_language,
format_=self.format_,
source_language=self.source_language,
model=self.model,
)
self.log.debug("Translation %s", translation)
return translation
except ValueError as e:
self.log.error('An error has been thrown from translate method:')
self.log.error(e)
raise AirflowException(e)
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