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https://github.com/deepset-ai/haystack.git
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a7f36fdd32
* Enhance Pipeline.draw() to show image directly in Jupyter notebook * Add util method to check if we're in a Jupyter notebook * Split Pipeline.draw() in two methods * Update tests * Update releasenotes
31 lines
814 B
Python
31 lines
814 B
Python
# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
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#
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# SPDX-License-Identifier: Apache-2.0
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import logging
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from pathlib import Path
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from haystack.core.component import component
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from haystack.core.pipeline import Pipeline
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logging.basicConfig(level=logging.DEBUG)
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@component
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class WithDefault:
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@component.output_types(b=int)
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def run(self, a: int, b: int = 2):
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return {"c": a + b}
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def test_pipeline():
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pipeline = Pipeline()
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pipeline.add_component("with_defaults", WithDefault())
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# Pass all the inputs
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results = pipeline.run({"with_defaults": {"a": 40, "b": 30}})
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assert results == {"with_defaults": {"c": 70}}
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# Rely on default value for 'b'
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results = pipeline.run({"with_defaults": {"a": 40}})
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assert results == {"with_defaults": {"c": 42}}
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