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-rw-r--r--csit.infra.etl/trending_soak.py23
1 files changed, 14 insertions, 9 deletions
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