Switch to slim base images for components and frontend

components/google-cloud/google_cloud_pipeline_components/_implementation/starry_net/get_training_artifacts/component.py

@@ -19,7 +19,7 @@
 
 
 @dsl.component(
-    base_image='python:3.9', packages_to_install=['tensorflow==2.16.1']
+    base_image='python:3.9-slim', packages_to_install=['tensorflow==2.16.1']
 )
 def get_training_artifacts(
     docker_region: str,

components/google-cloud/google_cloud_pipeline_components/_implementation/starry_net/maybe_set_tfrecord_args/component.py

@@ -18,7 +18,7 @@
 from kfp import dsl
 
 
-@dsl.component(base_image='python:3.9')
+@dsl.component(base_image='python:3.9-slim')
 def maybe_set_tfrecord_args(
     dataprep_previous_run_dir: str,
     static_covariates: List[str],

components/google-cloud/google_cloud_pipeline_components/_implementation/starry_net/set_dataprep_args/component.py

@@ -18,7 +18,7 @@
 from kfp import dsl
 
 
-@dsl.component(base_image='python:3.9')
+@dsl.component(base_image='python:3.9-slim')
 def set_dataprep_args(
     model_blocks: List[str],
     ts_identifier_columns: List[str],

components/google-cloud/google_cloud_pipeline_components/_implementation/starry_net/set_eval_args/component.py

@@ -18,7 +18,7 @@
 from kfp import dsl
 
 
-@dsl.component(base_image='python:3.9')
+@dsl.component(base_image='python:3.9-slim')
 def set_eval_args(
     big_query_source: dsl.Input[dsl.Artifact], quantiles: List[float]
 ) -> NamedTuple(

components/google-cloud/google_cloud_pipeline_components/_implementation/starry_net/set_test_set/component.py

@@ -19,7 +19,7 @@
 
 
 @dsl.component(
-    base_image='python:3.9', packages_to_install=['tensorflow==2.16.1']
+    base_image='python:3.9-slim', packages_to_install=['tensorflow==2.16.1']
 )
 def set_test_set(
     dataprep_dir: dsl.InputPath(),

components/google-cloud/google_cloud_pipeline_components/_implementation/starry_net/set_tfrecord_args/component.py

@@ -18,7 +18,7 @@
 from kfp import dsl
 
 
-@dsl.component(base_image='python:3.9')
+@dsl.component(base_image='python:3.9-slim')
 def set_tfrecord_args(
     dataprep_dir: dsl.InputPath(),
     static_covariates: List[str],

components/google-cloud/google_cloud_pipeline_components/_implementation/starry_net/set_train_args/component.py

@@ -18,7 +18,7 @@
 from kfp import dsl
 
 
-@dsl.component(base_image='python:3.9')
+@dsl.component(base_image='python:3.9-slim')
 def set_train_args(
     quantiles: List[float],
     model_blocks: List[str],

components/google-cloud/google_cloud_pipeline_components/_implementation/starry_net/upload_decomposition_plots/component.py

@@ -17,7 +17,7 @@
 
 
 @dsl.component(
-    base_image='python:3.9',
+    base_image='python:3.9-slim',
     packages_to_install=[
         'google-cloud-aiplatform[tensorboard]==1.87.0',
         'protobuf==3.20.*',

components/google-cloud/google_cloud_pipeline_components/v1/forecasting/prepare_data_for_train/component.py

@@ -175,6 +175,6 @@ def prepare_data_for_train(
 
 prepare_data_for_train_implementation = prepare_data_for_train
 
-prepare_data_for_train = dsl.component(base_image='python:3.8')(
+prepare_data_for_train = dsl.component(base_image='python:3.8-slim')(
     prepare_data_for_train
 )

components/kubeflow/pytorch-launcher/sample.py

@@ -19,7 +19,7 @@ def get_current_namespace():
     return current_namespace
 
 
-@dsl.component(packages_to_install=['kubernetes<31,>=8.0.0', 'kubeflow-training>=1.8.0', 'retrying>=1.3.3'], base_image="python:3.11")
+@dsl.component(packages_to_install=['kubernetes<31,>=8.0.0', 'kubeflow-training>=1.8.0', 'retrying>=1.3.3'], base_image="python:3.11-slim")
 def pytorch_job_launcher(
     name: str,
     kind: str = "PyTorchJob",

components/snowflake/component.yaml

@@ -93,7 +93,7 @@ deploymentSpec:
           \    \"\"\")\n    _ = result.fetchall()\n    if output_gcs_path.endswith(\"\
           /\"):\n        return output_gcs_path + \"data_0_0_0.csv\"\n    else:\n\
           \        return output_gcs_path\n\n"
-        image: python:3.11
+        image: python:3.11-slim
 pipelineInfo:
   name: snowflake-unload-op
 root:

components/snowflake/snowflake_unload_data.py

@@ -6,7 +6,7 @@
 from kfp.dsl import component
 
 @component(
-    base_image="python:3.11",
+    base_image="python:3.11-slim",
     packages_to_install=["snowflake-connector-python:3.12.3"]
 )
 def snowflake_unload_op(

frontend/Dockerfile

@@ -1,5 +1,5 @@
 ARG BASE_IMAGE=alpine
-FROM node:22.19 as build
+FROM node:22.19-slim AS build
 
 ARG COMMIT_HASH
 ENV COMMIT_HASH=${COMMIT_HASH}