Files
sientia-dataops-laborious-l…/laborious/workflows/predictions_batch.py
vitor-aignosi eb6d2dd79c SIENTIAPDE-994
Implement new get_last_timestamp method in Gates class, refactor MLFlow activity methods to return only transformed data, and update PredictionsBatch and PredictionProcess workflows to utilize Activities module. Add detailed docstrings for new methods and enhance test coverage for get_last_timestamp functionality.
2025-05-12 11:36:21 -03:00

31 lines
872 B
Python

from temporalio import workflow
with workflow.unsafe.imports_passed_through():
from laborious.activities.activities import Activities
from typing import Any
@workflow.defn(name="predictions_batch")
class PredictionsBatch():
@workflow.run
async def run(self, input_data: dict[str, Any]):
await workflow.execute_activity_method(
Activities.prepare_activity,
{
'schedule_name': input_data['schedule_name'],
'model_name': input_data['model_name'],
'model_id': input_data['model_id']
}
)
data = await workflow.execute_activity_method(
Activities.load_custom_query,
input_data['query']
)
input_data['data'] = data
await workflow.execute_child_workflow(
'prediction_process', input_data)