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SIENTIAPDE-1717: Remove MinIO cleanup functionality and associated components. This change streamlines the cleanup workflow to focus solely on local temporary directories, removes the ModelTrainingError exception, and updates related configurations, documentation, and tests.

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Bruno Domingues
2026-03-30 14:14:10 -03:00
parent 63a94dae0a
commit 7a0961f29d
20 changed files with 56 additions and 778 deletions
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8
model_manager/utils/models/experiment_status.py
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@@ -14,13 +14,10 @@ class ExperimentStatus(StrEnum):
to maintain compatibility with existing database records and monitoring systems.
Attributes:
ORCHESTRATOR_VALIDATION_ERROR: Error in the parameters validation.
ORCHESTRATOR_WAITING_PROC: Initial status indicating experiment is registered and waiting for processing.
ORCHESTRATOR_VALIDATION_ERROR: Error in the parameters validation.
TRAINING_SUCCESS: Training completed successfully with model and metrics calculated.
TRAINING_ERROR: Training failed due to data issues, model errors, or other exceptions.
TRACKING_SENT: Model successfully saved to MLFlow.
TRACKING_SEND_ERROR: Model saving to MLFlow failed due to connection or serialization errors.
FILE_DELETED: Cleanup completed successfully with all artifacts removed.
FILE_DELETE_ERROR: Cleanup failed due to file system or MinIO errors.
"""
@@ -28,7 +25,4 @@ class ExperimentStatus(StrEnum):
ORCHESTRATOR_WAITING_PROC = 'ORCHESTRATOR_WAITING_PROC'
TRAINING_SUCCESS = 'TRAINING_SUCCESS'
TRAINING_ERROR = 'TRAINING_ERROR'
TRACKING_SENT = 'TRACKING_SENT'
TRACKING_SEND_ERROR = 'TRACKING_SEND_ERROR'
FILE_DELETED = 'FILE_DELETED'
FILE_DELETE_ERROR = 'FILE_DELETE_ERROR'