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Fix: Adding hash to pipelines processing step function execution names to … #641

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merged 3 commits into from
Jul 24, 2023
Merged

Fix: Adding hash to pipelines processing step function execution names to … #641

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Adding hash to pipelines processing step function execution names to …
avolip Jun 26, 2023
af85438
Adding hash to pipelines processing step function execution names to …
avolip Jun 26, 2023
286e9e1
Apply linting fixes
sbkok Jul 24, 2023
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9 changes: 6 additions & 3 deletions ...ry/adf-bootstrap/deployment/lambda_codebase/pipeline_management/process_deployment_map.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,7 @@
import tempfile
from typing import Any, TypedDict
import yaml
import hashlib
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from yaml.error import YAMLError

import boto3
Expand Down Expand Up @@ -173,9 +174,11 @@ def start_executions(
# AWS Step Functions supports max 80 characters.
# Since the run_id equals 49 characters plus the dash, we have 30
# characters available. To ensure we don't run over, lets use a
# truncated version instead:
truncated_pipeline_name = full_pipeline_name[:30]
sfn_execution_name = f"{truncated_pipeline_name}-{run_id}"
# truncated version concatenated with an hash generated from
# the pipeline name
truncated_pipeline_name = full_pipeline_name[:24]
execution_unique_hash = hashlib.md5( bytes(full_pipeline_name + run_id, 'utf-8') ).hexdigest()[:5]
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sfn_execution_name = f"{truncated_pipeline_name}-{execution_unique_hash}-{run_id}"
sfn_client.start_execution(
stateMachineArn=PIPELINE_MANAGEMENT_STATEMACHINE,
name=sfn_execution_name,
Expand Down