feat(etl): Release pipelines

Signed-off-by: pmikus <peter.mikus@protonmail.ch>
Change-Id: I4ce20267b4747bf1901b6175e0ec5936b583a510

17 files changed, 260 insertions, 163 deletions

diff --git a/csit.infra.etl/coverage_device_rls2402.py b/csit.infra.etl/coverage_device_rls2406.py
index 2db808164f..04f4135851 100644
--- a/csit.infra.etl/coverage_device_rls2402.py
+++ b/csit.infra.etl/coverage_device_rls2406.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-vpp-device-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -141,7 +141,7 @@ paths = wr.s3.list_objects(
     ignore_empty=True
 )
 
-filtered_paths = [path for path in paths if "report-coverage-2402" in path]
+filtered_paths = [path for path in paths if "report-coverage-2406" in path]
 
 out_sdf = process_json_to_dataframe("device", filtered_paths)
 out_sdf.printSchema()
@@ -152,19 +152,25 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
-        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/coverage_rls2402",
+        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/coverage_rls2406",
         dataset=True,
         partition_cols=["test_type", "year", "month", "day"],
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/coverage_hoststack_rls2402.py b/csit.infra.etl/coverage_hoststack_rls2406.py
index 27eb9e8cc6..75edd983b8 100644
--- a/csit.infra.etl/coverage_hoststack_rls2402.py
+++ b/csit.infra.etl/coverage_hoststack_rls2406.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -141,10 +141,9 @@ paths = wr.s3.list_objects(
     ignore_empty=True
 )
 
-filtered_paths = [path for path in paths if "report-coverage-2402" in path]
+filtered_paths = [path for path in paths if "report-coverage-2406" in path]
 
 out_sdf = process_json_to_dataframe("hoststack", filtered_paths)
-out_sdf.show(truncate=False)
 out_sdf.printSchema()
 out_sdf = out_sdf \
     .withColumn("year", lit(datetime.now().year)) \
@@ -153,19 +152,25 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
-        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/coverage_rls2402",
+        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/coverage_rls2406",
         dataset=True,
         partition_cols=["test_type", "year", "month", "day"],
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/coverage_mrr_rls2402.py b/csit.infra.etl/coverage_mrr_rls2406.py
index e68e4f0366..b84c077308 100644
--- a/csit.infra.etl/coverage_mrr_rls2402.py
+++ b/csit.infra.etl/coverage_mrr_rls2406.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -141,7 +141,7 @@ paths = wr.s3.list_objects(
     ignore_empty=True
 )
 
-filtered_paths = [path for path in paths if "report-coverage-2402" in path]
+filtered_paths = [path for path in paths if "report-coverage-2406" in path]
 
 out_sdf = process_json_to_dataframe("mrr", filtered_paths)
 out_sdf.printSchema()
@@ -152,19 +152,25 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
-        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/coverage_rls2402",
+        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/coverage_rls2406",
         dataset=True,
         partition_cols=["test_type", "year", "month", "day"],
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/coverage_ndrpdr_rls2402.py b/csit.infra.etl/coverage_ndrpdr_rls2406.py
index 730e3ea748..ee0f878833 100644
--- a/csit.infra.etl/coverage_ndrpdr_rls2402.py
+++ b/csit.infra.etl/coverage_ndrpdr_rls2406.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -141,7 +141,7 @@ paths = wr.s3.list_objects(
     ignore_empty=True
 )
 
-filtered_paths = [path for path in paths if "report-coverage-2402" in path]
+filtered_paths = [path for path in paths if "report-coverage-2406" in path]
 
 out_sdf = process_json_to_dataframe("ndrpdr", filtered_paths)
 out_sdf.printSchema()
@@ -152,19 +152,25 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
-        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/coverage_rls2402",
+        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/coverage_rls2406",
         dataset=True,
         partition_cols=["test_type", "year", "month", "day"],
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/coverage_reconf_rls2402.py b/csit.infra.etl/coverage_reconf_rls2406.py
index dc1f647ff1..33dbac72d2 100644
--- a/csit.infra.etl/coverage_reconf_rls2402.py
+++ b/csit.infra.etl/coverage_reconf_rls2406.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -141,10 +141,9 @@ paths = wr.s3.list_objects(
     ignore_empty=True
 )
 
-filtered_paths = [path for path in paths if "report-coverage-2402" in path]
+filtered_paths = [path for path in paths if "report-coverage-2406" in path]
 
 out_sdf = process_json_to_dataframe("reconf", filtered_paths)
-out_sdf.show(truncate=False)
 out_sdf.printSchema()
 out_sdf = out_sdf \
     .withColumn("year", lit(datetime.now().year)) \
@@ -153,19 +152,25 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
-        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/coverage_rls2402",
+        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/coverage_rls2406",
         dataset=True,
         partition_cols=["test_type", "year", "month", "day"],
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/coverage_soak_rls2402.py b/csit.infra.etl/coverage_soak_rls2406.py
index 7d87afd952..3b13c16229 100644
--- a/csit.infra.etl/coverage_soak_rls2402.py
+++ b/csit.infra.etl/coverage_soak_rls2406.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -141,7 +141,7 @@ paths = wr.s3.list_objects(
     ignore_empty=True
 )
 
-filtered_paths = [path for path in paths if "report-coverage-2402" in path]
+filtered_paths = [path for path in paths if "report-coverage-2406" in path]
 
 out_sdf = process_json_to_dataframe("soak", filtered_paths)
 out_sdf.printSchema()
@@ -152,19 +152,25 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
-        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/coverage_rls2402",
+        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/coverage_rls2406",
         dataset=True,
         partition_cols=["test_type", "year", "month", "day"],
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/iterative_hoststack_rls2402.py b/csit.infra.etl/iterative_hoststack_rls2406.py
index 1c74126c47..ebeade5571 100644
--- a/csit.infra.etl/iterative_hoststack_rls2402.py
+++ b/csit.infra.etl/iterative_hoststack_rls2406.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -141,10 +141,9 @@ paths = wr.s3.list_objects(
     ignore_empty=True
 )
 
-filtered_paths = [path for path in paths if "report-iterative-2402" in path]
+filtered_paths = [path for path in paths if "report-iterative-2406" in path]
 
 out_sdf = process_json_to_dataframe("hoststack", filtered_paths)
-out_sdf.show(truncate=False)
 out_sdf.printSchema()
 out_sdf = out_sdf \
     .withColumn("year", lit(datetime.now().year)) \
@@ -153,19 +152,25 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
-        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/iterative_rls2402",
+        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/iterative_rls2406",
         dataset=True,
         partition_cols=["test_type", "year", "month", "day"],
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/iterative_mrr_rls2402.py b/csit.infra.etl/iterative_mrr_rls2406.py
index e779dbdc36..9abb3434dc 100644
--- a/csit.infra.etl/iterative_mrr_rls2402.py
+++ b/csit.infra.etl/iterative_mrr_rls2406.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -141,7 +141,7 @@ paths = wr.s3.list_objects(
     ignore_empty=True
 )
 
-filtered_paths = [path for path in paths if "report-iterative-2402" in path]
+filtered_paths = [path for path in paths if "report-iterative-2406" in path]
 
 out_sdf = process_json_to_dataframe("mrr", filtered_paths)
 out_sdf.printSchema()
@@ -152,19 +152,25 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
-        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/iterative_rls2402",
+        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/iterative_rls2406",
         dataset=True,
         partition_cols=["test_type", "year", "month", "day"],
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/iterative_ndrpdr_rls2402.py b/csit.infra.etl/iterative_ndrpdr_rls2406.py
index 9231176e10..21a6c46cd1 100644
--- a/csit.infra.etl/iterative_ndrpdr_rls2402.py
+++ b/csit.infra.etl/iterative_ndrpdr_rls2406.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -141,7 +141,7 @@ paths = wr.s3.list_objects(
     ignore_empty=True
 )
 
-filtered_paths = [path for path in paths if "report-iterative-2402" in path]
+filtered_paths = [path for path in paths if "report-iterative-2406" in path]
 
 out_sdf = process_json_to_dataframe("ndrpdr", filtered_paths)
 out_sdf.printSchema()
@@ -152,19 +152,25 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
-        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/iterative_rls2402",
+        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/iterative_rls2406",
         dataset=True,
         partition_cols=["test_type", "year", "month", "day"],
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/iterative_reconf_rls2402.py b/csit.infra.etl/iterative_reconf_rls2406.py
index 1beeb16d2c..e9b06812e3 100644
--- a/csit.infra.etl/iterative_reconf_rls2402.py
+++ b/csit.infra.etl/iterative_reconf_rls2406.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -141,7 +141,7 @@ paths = wr.s3.list_objects(
     ignore_empty=True
 )
 
-filtered_paths = [path for path in paths if "report-iterative-2402" in path]
+filtered_paths = [path for path in paths if "report-iterative-2406" in path]
 
 out_sdf = process_json_to_dataframe("reconf", filtered_paths)
 out_sdf.show(truncate=False)
@@ -153,19 +153,25 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
-        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/iterative_rls2402",
+        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/iterative_rls2406",
         dataset=True,
         partition_cols=["test_type", "year", "month", "day"],
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/iterative_soak_rls2402.py b/csit.infra.etl/iterative_soak_rls2406.py
index 55c6eb494d..6b05e30308 100644
--- a/csit.infra.etl/iterative_soak_rls2402.py
+++ b/csit.infra.etl/iterative_soak_rls2406.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -141,7 +141,7 @@ paths = wr.s3.list_objects(
     ignore_empty=True
 )
 
-filtered_paths = [path for path in paths if "report-iterative-2402" in path]
+filtered_paths = [path for path in paths if "report-iterative-2406" in path]
 
 out_sdf = process_json_to_dataframe("soak", filtered_paths)
 out_sdf.printSchema()
@@ -152,19 +152,25 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
-        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/iterative_rls2402",
+        path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/iterative_rls2406",
         dataset=True,
         partition_cols=["test_type", "year", "month", "day"],
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/stats.py b/csit.infra.etl/stats.py
index 5d44caa25d..08ce4a9d0d 100644
--- a/csit.infra.etl/stats.py
+++ b/csit.infra.etl/stats.py
@@ -28,8 +28,9 @@ from pyspark.context import SparkContext
 from pyspark.sql.functions import lit
 from pyspark.sql.types import StructType
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="suite.info.json.gz"
 IGNORE_SUFFIX=[]
@@ -106,7 +107,6 @@ paths = wr.s3.list_objects(
 
 for schema_name in ["sra"]:
     out_sdf = process_json_to_dataframe(schema_name, paths)
-    out_sdf.show(truncate=False)
     out_sdf.printSchema()
     out_sdf = out_sdf \
         .withColumn("year", lit(datetime.now().year)) \
@@ -115,6 +115,16 @@ for schema_name in ["sra"]:
         .repartition(1)
 
     try:
+        boto3_session = session.Session(
+            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+            region_name=environ["OUT_AWS_DEFAULT_REGION"]
+        )
+    except KeyError:
+        boto3_session = session.Session()
+    )
+
+    try:
         wr.s3.to_parquet(
             df=out_sdf.toPandas(),
             path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/stats",
@@ -123,11 +133,7 @@ for schema_name in ["sra"]:
             compression="snappy",
             use_threads=True,
             mode="overwrite_partitions",
-            boto3_session=session.Session(
-                aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-                aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-                region_name=environ["OUT_AWS_DEFAULT_REGION"]
-            )
+            boto3_session=boto3_session
         )
     except EmptyDataFrame:
         pass
diff --git a/csit.infra.etl/trending_hoststack.py b/csit.infra.etl/trending_hoststack.py
index 85cab5a179..45cb5c9bf5 100644
--- a/csit.infra.etl/trending_hoststack.py
+++ b/csit.infra.etl/trending_hoststack.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -144,7 +144,6 @@ paths = wr.s3.list_objects(
 filtered_paths = [path for path in paths if "daily" in path or "weekly" in path]
 
 out_sdf = process_json_to_dataframe("hoststack", filtered_paths)
-out_sdf.show(truncate=False)
 out_sdf.printSchema()
 out_sdf = out_sdf \
     .withColumn("year", lit(datetime.now().year)) \
@@ -153,6 +152,16 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
         path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/trending",
@@ -161,11 +170,7 @@ try:
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/trending_mrr.py b/csit.infra.etl/trending_mrr.py
index a00c5fb4e1..b42aacaf36 100644
--- a/csit.infra.etl/trending_mrr.py
+++ b/csit.infra.etl/trending_mrr.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -153,6 +153,16 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
         path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/trending",
@@ -161,11 +171,7 @@ try:
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/trending_ndrpdr.py b/csit.infra.etl/trending_ndrpdr.py
index e35d27b0bf..96582f5928 100644
--- a/csit.infra.etl/trending_ndrpdr.py
+++ b/csit.infra.etl/trending_ndrpdr.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -153,6 +153,16 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
         path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/trending",
@@ -161,11 +171,7 @@ try:
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/trending_reconf.py b/csit.infra.etl/trending_reconf.py
index 94e6199e89..08287a74cc 100644
--- a/csit.infra.etl/trending_reconf.py
+++ b/csit.infra.etl/trending_reconf.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -153,6 +153,16 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
         path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/trending",
@@ -161,11 +171,7 @@ try:
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass
diff --git a/csit.infra.etl/trending_soak.py b/csit.infra.etl/trending_soak.py
index 40da521884..e6faf5be34 100644
--- a/csit.infra.etl/trending_soak.py
+++ b/csit.infra.etl/trending_soak.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
 # 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:
@@ -29,8 +29,8 @@ from pyspark.sql.functions import col, lit, regexp_replace
 from pyspark.sql.types import StructType
 
 
-S3_LOGS_BUCKET="fdio-logs-s3-cloudfront-index"
-S3_DOCS_BUCKET="fdio-docs-s3-cloudfront-index"
+S3_LOGS_BUCKET=environ.get("S3_LOGS_BUCKET", "fdio-logs-s3-cloudfront-index")
+S3_DOCS_BUCKET=environ.get("S3_DOCS_BUCKET", "fdio-docs-s3-cloudfront-index")
 PATH=f"s3://{S3_LOGS_BUCKET}/vex-yul-rot-jenkins-1/csit-*-perf-*"
 SUFFIX="info.json.gz"
 IGNORE_SUFFIX=[
@@ -144,7 +144,6 @@ paths = wr.s3.list_objects(
 filtered_paths = [path for path in paths if "daily" in path or "weekly" in path]
 
 out_sdf = process_json_to_dataframe("soak", filtered_paths)
-out_sdf.show(truncate=False)
 out_sdf.printSchema()
 out_sdf = out_sdf \
     .withColumn("year", lit(datetime.now().year)) \
@@ -153,6 +152,16 @@ out_sdf = out_sdf \
     .repartition(1)
 
 try:
+    boto3_session = session.Session(
+        aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
+        aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
+        region_name=environ["OUT_AWS_DEFAULT_REGION"]
+    )
+except KeyError:
+    boto3_session = session.Session()
+)
+
+try:
     wr.s3.to_parquet(
         df=out_sdf.toPandas(),
         path=f"s3://{S3_DOCS_BUCKET}/csit/parquet/trending",
@@ -161,11 +170,7 @@ try:
         compression="snappy",
         use_threads=True,
         mode="overwrite_partitions",
-        boto3_session=session.Session(
-            aws_access_key_id=environ["OUT_AWS_ACCESS_KEY_ID"],
-            aws_secret_access_key=environ["OUT_AWS_SECRET_ACCESS_KEY"],
-            region_name=environ["OUT_AWS_DEFAULT_REGION"]
-        )
+        boto3_session=boto3_session
     )
 except EmptyDataFrame:
     pass