Source code for tests.system.google.cloud.translate.example_translate_text

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"""
Example Airflow DAG that translates text in Google Cloud Translate using V3 API version
service in the Google Cloud.
"""

from __future__ import annotations

import os
from datetime import datetime

from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
from airflow.providers.google.cloud.operators.translate import (
    TranslateTextBatchOperator,
    TranslateTextOperator,
)
from airflow.utils.trigger_rule import TriggerRule

[docs]DAG_ID = "gcp_translate_text"
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "default")
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
[docs]REGION = "us-central1"
[docs]RESOURCE_DATA_BUCKET = "airflow-system-tests-resources"
[docs]BATCH_TRANSLATE_SAMPLE_URI = ( f"gs://{RESOURCE_DATA_BUCKET}/translate/V3/text_batch/inputs/translate_sample_de_1.txt" )
[docs]BATCH_TRANSLATE_INPUT = { "gcs_source": {"input_uri": BATCH_TRANSLATE_SAMPLE_URI}, "mime_type": "text/plain", }
[docs]DATA_SAMPLE_GCS_BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}".replace("_", "-")
[docs]GCS_OUTPUT_DST = { "gcs_destination": {"output_uri_prefix": f"gs://{DATA_SAMPLE_GCS_BUCKET_NAME}/translate_output/"} }
with DAG( DAG_ID, schedule="@once", # Override to match your needs start_date=datetime(2024, 11, 1), catchup=False, tags=["example", "translate_text", "batch_translate_text"], ) as dag:
[docs] create_bucket = GCSCreateBucketOperator( task_id="create_bucket", bucket_name=DATA_SAMPLE_GCS_BUCKET_NAME, storage_class="REGIONAL", location=REGION, )
# [START howto_operator_translate_text_advanced] translate_text = TranslateTextOperator( task_id="translate_v3_op", contents=["Ciao mondo!", "Mi puoi prendere una tazza di caffè, per favore?"], source_language_code="it", target_language_code="en", ) # [END howto_operator_translate_text_advanced] # [START howto_operator_batch_translate_text] batch_text_translate = TranslateTextBatchOperator( task_id="batch_translate_v3_op", source_language_code="de", target_language_codes=["en"], # Up to 10 language codes per run location="us-central1", input_configs=[BATCH_TRANSLATE_INPUT], output_config=GCS_OUTPUT_DST, ) # [END howto_operator_batch_translate_text] delete_bucket = GCSDeleteBucketOperator( task_id="delete_bucket", bucket_name=DATA_SAMPLE_GCS_BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE, ) ( # TEST SETUP create_bucket # TEST BODY >> [translate_text, batch_text_translate] # TEST TEARDOWN >> delete_bucket ) from tests_common.test_utils.watcher import watcher # This test needs watcher in order to properly mark success/failure # when "tearDown" task with trigger rule is part of the DAG list(dag.tasks) >> watcher() from tests_common.test_utils.system_tests import get_test_run # noqa: E402 # Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)

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