feat: update training workflow and repository management

- Replaced synchronous MinIO repository calls with asynchronous counterparts in the Training class for improved performance.
- Enhanced logging throughout the training process to provide better insights into model metadata loading, parameter validation, and training execution.
- Updated the train_test_split function to enforce DataFrame input type, ensuring consistency in data handling.
- Removed the deprecated model_repository.py file to streamline the codebase.
- Adjusted cleanup schedule logic to improve error handling and logging during schedule reconciliation.
- Updated tests to reflect changes in the training workflow and repository interactions.

scripts/run_training_test.py

@@ -32,6 +32,9 @@ import psycopg2
 from dotenv import load_dotenv
 from psycopg2.extras import Json
 from temporalio import client
+from dotenv import load_dotenv
+
+load_dotenv()
 
 # %%
 # --- configuration (edit here or use `.env` at repo root) ---
@@ -54,9 +57,14 @@ PG = {
 
 TEMPORAL_HOST = os.getenv('TEMPORAL_HOST')
 TEMPORAL_NAMESPACE = os.getenv('TEMPORAL_NAMESPACE')
-TRAIN_TASK_QUEUE = os.getenv('TRAIN_TASK_QUEUE')
+TRAIN_TASK_QUEUE = "train_model-single-queue"
 TEMPORAL_TLS = os.getenv('TEMPORAL_USE_TLS', 'false').lower() in ('1', 'true', 'yes')
 
+
+print(MINIO_MC_ALIAS, MINIO_BUCKET, OBJECT_NAME, LOCAL_CSV)
+print(PG)
+print(TEMPORAL_HOST, TEMPORAL_NAMESPACE, TRAIN_TASK_QUEUE, TEMPORAL_TLS)
+
 # %%
 # --- 1) database: delete previous row (same id), then insert `experiment_run` ---
 # Primary key column is `id` (see `experiment_tracking` updates). `request_data` matches the SQL sample in `input-sample.md`.
@@ -97,7 +105,7 @@ with psycopg2.connect(**PG) as conn:
                 EXPERIMENT_RUN_ID,
                 'test-experiment-name',
                 'test-run-name',
-                'test-username',
+                'vitor.santos@aignosi.com.br',
                 'ORCHESTRATOR_WAITING_PROC',
                 None,
                 now,
@@ -142,15 +150,16 @@ _workflow_input = {
     'opt_params': {},
 }
 
-# %%
-
 c = await client.Client.connect(
     target_host=TH,
     namespace=TN,
     tls=TEMPORAL_TLS,
 )
+
+# %%
+
 wid = f'train-model-test-{uuid.uuid4()}'
-await c.execute_workflow(  # type: ignore[call-overload]
+result = await c.execute_workflow(  # type: ignore[call-overload]
     'train_model',
     _workflow_input,
     id=wid,
@@ -160,3 +169,6 @@ await c.execute_workflow(  # type: ignore[call-overload]
     task_timeout=timedelta(minutes=5),
 )
 print(wid)
+print(result)
+
+# %%