Revert "Components - De-hardcoded the UI metadata file path in GCP components (#2697)"

This reverts commit 08ebd156

components/gcp/bigquery/query/component.yaml

@@ -68,10 +68,10 @@ implementation:
       --table_id, {inputValue: table_id},
       --dataset_location, {inputValue: dataset_location},
       --output_gcs_path, {inputValue: output_gcs_path},
-      --job_config, {inputValue: job_config},
+      --job_config, {inputValue: job_config}
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
     fileOutputs:
       output_gcs_path: /tmp/kfp/output/bigquery/query-output-path.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json

components/gcp/container/component_sdk/python/kfp_component/launcher/__main__.py

@@ -15,7 +15,6 @@
 import argparse
 import fire
 import importlib
-import os
 import sys
 import logging
 from .launcher import launch
@@ -27,14 +26,8 @@ def main():
         description='Launch a python module or file.')
     parser.add_argument('file_or_module', type=str,
         help='Either a python file path or a module name.')
-    parser.add_argument('--ui-metadata-path', type=str,
-        help='Path for the file where the mlpipeline-ui-metadata.json data should be written.')
     parser.add_argument('args', nargs=argparse.REMAINDER)
     args = parser.parse_args()
-
-    if args.ui_metadata_path:
-        os.environ['KFP_UI_METADATA_PATH'] = args.ui_metadata_path
-
     launch(args.file_or_module, args.args)
 
 if __name__ == '__main__':

components/gcp/dataflow/launch_python/component.yaml

@@ -61,10 +61,10 @@ implementation:
       --staging_dir, {inputValue: staging_dir},
       --requirements_file_path, {inputValue: requirements_file_path},
       --args, {inputValue: args},
-      --wait_interval, {inputValue: wait_interval},
+      --wait_interval, {inputValue: wait_interval}
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
     fileOutputs:
       job_id: /tmp/kfp/output/dataflow/job_id.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json

components/gcp/dataflow/launch_template/component.yaml

@@ -73,9 +73,9 @@ implementation:
       --validate_only, {inputValue: validate_only},
       --staging_dir, {inputValue: staging_dir},
       --wait_interval, {inputValue: wait_interval},
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
     fileOutputs:
       job_id: /tmp/kfp/output/dataflow/job_id.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json

components/gcp/dataproc/create_cluster/component.yaml

@@ -81,10 +81,10 @@ implementation:
       --config_bucket, {inputValue: config_bucket},
       --image_version, {inputValue: image_version},
       --cluster, {inputValue: cluster},
-      --wait_interval, {inputValue: wait_interval},
+      --wait_interval, {inputValue: wait_interval}
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
     fileOutputs:
       cluster_name: /tmp/kfp/output/dataproc/cluster_name.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json

components/gcp/dataproc/submit_hadoop_job/component.yaml

@@ -91,10 +91,10 @@ implementation:
       --args, {inputValue: args},
       --hadoop_job, {inputValue: hadoop_job},
       --job, {inputValue: job},
-      --wait_interval, {inputValue: wait_interval},
+      --wait_interval, {inputValue: wait_interval}
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
     fileOutputs:
       job_id: /tmp/kfp/output/dataproc/job_id.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json

components/gcp/dataproc/submit_hive_job/component.yaml

@@ -86,10 +86,10 @@ implementation:
       --script_variables, {inputValue: script_variables},
       --hive_job, {inputValue: hive_job},
       --job, {inputValue: job},
-      --wait_interval, {inputValue: wait_interval},
+      --wait_interval, {inputValue: wait_interval}
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
     fileOutputs:
       job_id: /tmp/kfp/output/dataproc/job_id.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json

components/gcp/dataproc/submit_pig_job/component.yaml

@@ -86,10 +86,10 @@ implementation:
       --script_variables, {inputValue: script_variables},
       --pig_job, {inputValue: pig_job},
       --job, {inputValue: job},
-      --wait_interval, {inputValue: wait_interval},
+      --wait_interval, {inputValue: wait_interval}
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
     fileOutputs:
       job_id: /tmp/kfp/output/dataproc/job_id.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json

components/gcp/dataproc/submit_pyspark_job/component.yaml

@@ -79,10 +79,10 @@ implementation:
       --args, {inputValue: args},
       --pyspark_job, {inputValue: pyspark_job},
       --job, {inputValue: job},
-      --wait_interval, {inputValue: wait_interval},
+      --wait_interval, {inputValue: wait_interval}
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
     fileOutputs:
       job_id: /tmp/kfp/output/dataproc/job_id.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json

components/gcp/dataproc/submit_spark_job/component.yaml

@@ -87,10 +87,10 @@ implementation:
       --args, {inputValue: args},
       --spark_job, {inputValue: spark_job},
       --job, {inputValue: job},
-      --wait_interval, {inputValue: wait_interval},
+      --wait_interval, {inputValue: wait_interval}
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
     fileOutputs:
       job_id: /tmp/kfp/output/dataproc/job_id.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json

components/gcp/dataproc/submit_sparksql_job/component.yaml

@@ -86,10 +86,10 @@ implementation:
       --script_variables, {inputValue: script_variables},
       --sparksql_job, {inputValue: sparksql_job},
       --job, {inputValue: job},
-      --wait_interval, {inputValue: wait_interval},
+      --wait_interval, {inputValue: wait_interval}
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
     fileOutputs:
       job_id: /tmp/kfp/output/dataproc/job_id.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json

components/gcp/ml_engine/batch_predict/component.yaml

@@ -81,10 +81,10 @@ implementation:
       --output_data_format, {inputValue: output_data_format},
       --prediction_input, {inputValue: prediction_input},
       --job_id_prefix, {inputValue: job_id_prefix},
-      --wait_interval, {inputValue: wait_interval},
+      --wait_interval, {inputValue: wait_interval}
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
     fileOutputs:
       job_id: /tmp/kfp/output/ml_engine/job_id.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json

components/gcp/ml_engine/deploy/component.yaml

@@ -109,7 +109,6 @@ implementation:
       --replace_existing_version, {inputValue: replace_existing_version},
       --set_default, {inputValue: set_default},
       --wait_interval, {inputValue: wait_interval},
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
@@ -117,3 +116,4 @@ implementation:
       model_uri: /tmp/kfp/output/ml_engine/model_uri.txt
       model_name: /tmp/kfp/output/ml_engine/model_name.txt
       version_name: /tmp/kfp/output/ml_engine/version_name.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json

components/gcp/ml_engine/train/component.yaml

@@ -118,11 +118,11 @@ implementation:
       --worker_image_uri, {inputValue: worker_image_uri},
       --training_input, {inputValue: training_input},
       --job_id_prefix, {inputValue: job_id_prefix},
-      --wait_interval, {inputValue: wait_interval},
+      --wait_interval, {inputValue: wait_interval}
-      --ui-metadata-path, {outputPath: MLPipeline UI metadata},
     ]
     env:
       KFP_POD_NAME: "{{pod.name}}"
     fileOutputs:
       job_id: /tmp/kfp/output/ml_engine/job_id.txt
       job_dir: /tmp/kfp/output/ml_engine/job_dir.txt
+      MLPipeline UI metadata: /mlpipeline-ui-metadata.json