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956d5bba43
* separate testfile for summarizer with translation * Add latest docstring and tutorial changes * import SPLIT_DOCS from test_summarizer * add workflow_dispatch to windows_ci * add worflow_dispatch to linux_ci Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
44 lines
1.7 KiB
Python
44 lines
1.7 KiB
Python
import pytest
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from haystack.schema import Document
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from haystack.pipelines import TranslationWrapperPipeline, SearchSummarizationPipeline
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from haystack.nodes import DensePassageRetriever, EmbeddingRetriever
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from test_summarizer import SPLIT_DOCS
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# Keeping few (retriever,document_store) combination to reduce test time
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@pytest.mark.slow
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@pytest.mark.elasticsearch
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@pytest.mark.summarizer
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@pytest.mark.parametrize(
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"retriever,document_store",
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[("embedding", "memory"), ("elasticsearch", "elasticsearch")],
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indirect=True,
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)
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def test_summarization_pipeline_with_translator(
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document_store,
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retriever,
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summarizer,
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en_to_de_translator,
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de_to_en_translator
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):
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document_store.write_documents(SPLIT_DOCS)
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if isinstance(retriever, EmbeddingRetriever) or isinstance(retriever, DensePassageRetriever):
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document_store.update_embeddings(retriever=retriever)
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query = "Wo steht der Eiffelturm?"
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base_pipeline = SearchSummarizationPipeline(retriever=retriever, summarizer=summarizer)
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pipeline = TranslationWrapperPipeline(
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input_translator=de_to_en_translator,
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output_translator=en_to_de_translator,
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pipeline=base_pipeline
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)
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output = pipeline.run(query=query, params={"Retriever": {"top_k": 2}, "Summarizer": {"generate_single_summary": True}})
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# SearchSummarizationPipeline return answers but Summarizer return documents
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documents = output["documents"]
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assert len(documents) == 1
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assert documents[0].content in [
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"Der Eiffelturm ist ein Wahrzeichen in Paris, Frankreich.",
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"Der Eiffelturm, der 1889 in Paris, Frankreich, erbaut wurde, ist das höchste freistehende Bauwerk der Welt."
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]
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