fix: avoid overwritten truncated pipeline definitions (#653)

* fix: avoid overwritten truncated pipeline definitions

* fix: typo

* fix: refactor truncation method based on feedback

* Update process_deployment_map.py

Fix trailing space

* Update src/lambda_codebase/initial_commit/bootstrap_repository/adf-bootstrap/deployment/lambda_codebase/pipeline_management/process_deployment_map.py

Co-authored-by: Stewart Wallace

* fix: consider comment execution_unique_hash

---------

Co-authored-by: Andreas Falkenberg
Co-authored-by: Stewart Wallace
Co-authored-by: Simon Kok

src/lambda_codebase/initial_commit/bootstrap_repository/adf-bootstrap/deployment/lambda_codebase/pipeline_management/process_deployment_map.py

@@ -173,13 +173,16 @@ def start_executions(
         full_pipeline_name = pipeline.get('name', 'no-pipeline-name')
         # 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 concatenated with an hash generated from
-        # the pipeline name
-        truncated_pipeline_name = full_pipeline_name[:24]
-        name_bytes_to_hash = bytes(full_pipeline_name + run_id, 'utf-8')
-        execution_unique_hash = hashlib.md5(name_bytes_to_hash).hexdigest()[:5]
-        sfn_execution_name = f"{truncated_pipeline_name}-{execution_unique_hash}-{run_id}"
+        # characters available. To ensure we don't run over in case of 80+
+        # characters, lets use a truncated version concatenated with an
+        # hash generated from the pipeline name. If below 80 characters, the
+        # full_pipeline_name + run_id is used.
+        sfn_execution_name = f"{full_pipeline_name}-{run_id}"
+        if len(sfn_execution_name) > 80:
+            truncated_pipeline_name = full_pipeline_name[:60]
+            name_bytes_to_hash = bytes(full_pipeline_name, 'utf-8')
+            execution_unique_hash = hashlib.md5(name_bytes_to_hash).hexdigest()[:5]
+            sfn_execution_name = f"{truncated_pipeline_name}-{execution_unique_hash}-{run_id}"[:80]
         sfn_client.start_execution(
             stateMachineArn=PIPELINE_MANAGEMENT_STATEMACHINE,
             name=sfn_execution_name,