batch_predict.py

# 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.


def batch_predict(project_id, model_id, input_uri, output_uri):
    """Batch predict"""
    # [START automl_batch_predict]
    from google.cloud import automl

    # TODO(developer): Uncomment and set the following variables
    # project_id = "YOUR_PROJECT_ID"
    # model_id = "YOUR_MODEL_ID"
    # input_uri = "gs://YOUR_BUCKET_ID/path/to/your/input/csv_or_jsonl"
    # output_uri = "gs://YOUR_BUCKET_ID/path/to/save/results/"

    prediction_client = automl.PredictionServiceClient()

    # Get the full path of the model.
    model_full_id = f"projects/{project_id}/locations/us-central1/models/{model_id}"

    gcs_source = automl.GcsSource(input_uris=[input_uri])

    input_config = automl.BatchPredictInputConfig(gcs_source=gcs_source)
    gcs_destination = automl.GcsDestination(output_uri_prefix=output_uri)
    output_config = automl.BatchPredictOutputConfig(gcs_destination=gcs_destination)

    response = prediction_client.batch_predict(
        name=model_full_id, input_config=input_config, output_config=output_config
    )

    print("Waiting for operation to complete...")
    print(
        f"Batch Prediction results saved to Cloud Storage bucket. {response.result()}"
    )
    # [END automl_batch_predict]