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This document discusses DeNA TechCon 2020. It covers various topics around technologies used at DeNA like BigQuery, CI/CD, machine learning, and testing. There are sections on data processing workflows, model training, alerts and notifications, and collaborating on code. Various coding examples are provided to demonstrate concepts like setting up tests with fixtures and marking dependencies between tests.
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![DeNA TechCon 2020
#denatechcon
@pytest.mark.dependency(depends=[¡°test_preprocess_a¡±, ¡°test_preprocess_b¡±])
def test_trainer(test_config):
trainer = Trainer(
test_config[¡°xxx¡±].format(test_config[¡°hash"]),
test_config[¡°yyy¡±].format(test_config[¡°hash"]),
)
trainer.train()
trainer.upload_model()](https://image.slidesharecdn.com/202003techconmlops-200528081146/85/MOV-MLOps-70-320.jpg)
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- 54. DeNA TechCon 2020 #denatechcon def task_fail_slack_alert(context): slack_msg = ¡°Task Failed.¡± failed_alert = SlackWebhookOperator( task_id="xxx", http_conn_id="slack", webhook_token=Variable.get("webhook.token"), message=slack_msg, username="airflow", ) return failed_alert.execute(context=context)
- 69. DeNA TechCon 2020 #denatechcon ¡ù @pytest.fixture(scope="session", autouse=True) def setup_teardown(request, test_config): # setup # suffix = uuid.uuid4() create_dataset(suffix) yield # teardown # delete_blobs(suffix) delete_dataset(suffix)
- 70. DeNA TechCon 2020 #denatechcon @pytest.mark.dependency(depends=[¡°test_preprocess_a¡±, ¡°test_preprocess_b¡±]) def test_trainer(test_config): trainer = Trainer( test_config[¡°xxx¡±].format(test_config[¡°hash"]), test_config[¡°yyy¡±].format(test_config[¡°hash"]), ) trainer.train() trainer.upload_model()