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23 lines
1.1 KiB
Python
23 lines
1.1 KiB
Python
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from haystack import Finder
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from haystack.reader.transformers import TransformersReader
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from haystack.retriever.tfidf import TfidfRetriever
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def test_finder_get_answers_with_in_memory_store():
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test_docs = [
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{"name": "testing the finder 1", "text": "testing the finder with pyhton unit test 1"},
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{"name": "testing the finder 2", "text": "testing the finder with pyhton unit test 2"},
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{"name": "testing the finder 3", "text": "testing the finder with pyhton unit test 3"}
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]
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from haystack.database.memory import InMemoryDocumentStore
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document_store = InMemoryDocumentStore()
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document_store.write_documents(test_docs)
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retriever = TfidfRetriever(document_store=document_store)
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reader = TransformersReader(model="distilbert-base-uncased-distilled-squad",
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tokenizer="distilbert-base-uncased", use_gpu=-1)
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finder = Finder(reader, retriever)
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prediction = finder.get_answers(question="testing finder", top_k_retriever=10,
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top_k_reader=5)
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assert prediction is not None
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