samples: Add export to BigQuery (#70)

samples/snippets/quickstart_exportassets.py

@@ -36,6 +36,32 @@ def export_assets(project_id, dump_file_path):
     # [END asset_quickstart_export_assets]
 
 
+def export_assets_bigquery(project_id, dataset, table):
+    # [START asset_quickstart_export_assets_bigquery]
+    from google.cloud import asset_v1
+
+    # TODO project_id = 'Your Google Cloud Project ID'
+    # TODO dataset = 'Your BigQuery dataset path'
+    # TODO table = 'Your BigQuery table name'
+
+    client = asset_v1.AssetServiceClient()
+    parent = "projects/{}".format(project_id)
+    content_type = asset_v1.ContentType.RESOURCE
+    output_config = asset_v1.OutputConfig()
+    output_config.bigquery_destination.dataset = dataset
+    output_config.bigquery_destination.table = table
+    output_config.bigquery_destination.force = True
+    response = client.export_assets(
+        request={
+            "parent": parent,
+            "content_type": content_type,
+            "output_config": output_config
+            }
+    )
+    print(response.result())
+    # [END asset_quickstart_export_assets_bigquery]
+
+
 if __name__ == "__main__":
 
     parser = argparse.ArgumentParser(

samples/snippets/quickstart_exportassets_test.py

@@ -17,20 +17,27 @@
 import os
 import uuid
 
+from google.cloud import bigquery
 from google.cloud import storage
 import pytest
 
 import quickstart_exportassets
 
 PROJECT = os.environ["GOOGLE_CLOUD_PROJECT"]
 BUCKET = "assets-{}".format(uuid.uuid4().hex)
+DATASET = "assets_{}".format(int(uuid.uuid4()))
 
 
 @pytest.fixture(scope="module")
 def storage_client():
     yield storage.Client()
 
 
+@pytest.fixture(scope="module")
+def bigquery_client():
+    yield bigquery.Client()
+
+
 @pytest.fixture(scope="module")
 def asset_bucket(storage_client):
     bucket = storage_client.create_bucket(BUCKET)
@@ -44,9 +51,27 @@ def asset_bucket(storage_client):
         raise e
 
 
-def test_export_assets(asset_bucket, capsys):
+@pytest.fixture(scope='module')
+def dataset(bigquery_client):
+    dataset_id = "{}.{}".format(PROJECT, DATASET)
+    dataset = bigquery.Dataset(dataset_id)
+    dataset.location = "US"
+    dataset = bigquery_client.create_dataset(dataset)
+
+    yield DATASET
+
+    bigquery_client.delete_dataset(
+            dataset_id, delete_contents=True, not_found_ok=False)
+
+
+def test_export_assets(asset_bucket, dataset, capsys):
     dump_file_path = "gs://{}/assets-dump.txt".format(asset_bucket)
     quickstart_exportassets.export_assets(PROJECT, dump_file_path)
     out, _ = capsys.readouterr()
-
     assert dump_file_path in out
+
+    dataset_id = "projects/{}/datasets/{}".format(PROJECT, dataset)
+    quickstart_exportassets.export_assets_bigquery(
+        PROJECT, dataset_id, "assettable")
+    out, _ = capsys.readouterr()
+    assert dataset_id in out