samples: added test that covers the wrong file type case (#69)

* samples: added test that covers the wrong file type case

samples/snippets/batch_process_documents_sample_bad_input_v1beta3_test.py

@@ -0,0 +1,44 @@
+# Copyright 2020 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+import os
+from uuid import uuid4
+
+from samples.snippets import batch_process_documents_sample_v1beta3
+
+location = "us"
+project_id = os.getenv("GOOGLE_CLOUD_PROJECT")
+processor_id = "90484cfdedb024f6"
+gcs_input_uri = "gs://cloud-samples-data/documentai/invoice.pdf"
+# following bucket contains .csv file which will cause the sample to fail.
+gcs_output_full_uri_with_wrong_type = "gs://documentai-beta-samples"
+BUCKET_NAME = f"document-ai-python-{uuid4()}"
+
+
+def test_batch_process_documents_with_bad_input(capsys):
+    try:
+        batch_process_documents_sample_v1beta3.batch_process_documents(
+            project_id=project_id,
+            location=location,
+            processor_id=processor_id,
+            gcs_input_uri=gcs_input_uri,
+            gcs_output_uri=gcs_output_full_uri_with_wrong_type,
+            gcs_output_uri_prefix="test",
+            timeout=450,
+        )
+        out, _ = capsys.readouterr()
+        assert "Failed to process" in out
+    except Exception as e:
+        assert "Failed to process" in e.message

samples/snippets/batch_process_documents_sample_v1beta3.py

@@ -35,6 +35,7 @@ def batch_process_documents(
     gcs_input_uri,
     gcs_output_uri,
     gcs_output_uri_prefix,
+    timeout: int = 300,
 ):
 
     client = documentai.DocumentProcessorServiceClient()
@@ -63,7 +64,7 @@ def batch_process_documents(
     operation = client.batch_process_documents(request)
 
     # Wait for the operation to finish
-    operation.result()
+    operation.result(timeout=timeout)
 
     # Results are written to GCS. Use a regex to find
     # output files
@@ -79,6 +80,7 @@ def batch_process_documents(
     for i, blob in enumerate(blob_list):
         # Download the contents of this blob as a bytes object.
         if ".json" not in blob.name:
+            print(f"skipping non-supported file type {blob.name}")
             return
         # Only parses JSON files
         blob_as_bytes = blob.download_as_bytes()