initial stage

airflow/dags/download_to_S3.py

@@ -0,0 +1,45 @@
+import os
+from datetime import timedelta
+
+import pendulum
+import requests
+from airflow.decorators import dag
+from airflow.decorators import task
+from airflow.providers.amazon.aws.hooks.s3 import S3Hook
+
+from common import s3_dowload_unzip_upload
+
+S3_CONN_ID = os.getenv("S3_CONN_ID", "s3_conn")
+EXECUTION_TIMEOUT = int(os.getenv("EXECUTION_TIMEOUT", 6))
+
+default_args = {
+    "execution_timeout": timedelta(hours=EXECUTION_TIMEOUT),
+    "retries": int(os.getenv("DEFAULT_TASK_RETRIES", 1)),
+    "retry_delay": timedelta(seconds=int(os.getenv("DEFAULT_RETRY_DELAY_SECONDS", 60))),
+}
+
+
+@dag(
+    start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
+    schedule=None,
+    catchup=False,
+    default_args=default_args,
+    params={
+        "url": "File to download",
+        "dst_key": "key containing the file",
+        "dst_bucket": "bucket that will contain file"
+    },
+    tags=["s3"],
+)
+def download_to_s3():
+    @task
+    def download(**context):
+        hook = S3Hook(S3_CONN_ID, transfer_config_args={'use_threads': False})
+        with requests.get(context["params"]["url"], stream=True) as r:
+            r.raise_for_status()
+            hook.load_file_obj(r.raw, context["params"]["dst_key"], bucket_name=context["params"]["dst_bucket"], replace=True, encrypt=False)
+
+    download()
+
+
+download_to_s3()