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46 lines
1003 B
Python
46 lines
1003 B
Python
from kedro.framework.session import KedroSession
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from kedro.framework.startup import bootstrap_project
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# Bootstrap le projet Kedro
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project_path = "."
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bootstrap_project(project_path)
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from kedro.pipeline import Pipeline, node
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#from kedro.io import DataCatalog
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def process_data(data):
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# Votre logique de traitement ici
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return data.drop(columns=['flag', 'k', 'index', 'rate'])
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mynode = node(
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func=process_data,
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inputs="fake_data",
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outputs="processed_data",
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name="process_data_node",
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)
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pipeline = Pipeline([mynode])
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# Crée une session Kedro
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with KedroSession.create(project_path=project_path) as session:
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context = session.load_context()
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catalog = context.catalog
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# # Exécutez votre pipeline ici
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# runner = context.runner
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# runner.run(pipeline, catalog)
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from kedro.runner import SequentialRunner
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# Créez un runner
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runner = SequentialRunner()
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# Exécutez votre pipeline
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runner.run(pipeline, catalog)
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#catalog = DataCatalog.from_config("catalog.yml")
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