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]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]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)