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13510aa753
* Files moved, imports all broken * Fix most imports and docstrings into * Fix the paths to the modules in the API docs * Add latest docstring and tutorial changes * Add a few pipelines that were lost in the inports * Fix a bunch of mypy warnings * Add latest docstring and tutorial changes * Create a file_classifier module * Add docs for file_classifier * Fixed most circular imports, now the REST API can start * Add latest docstring and tutorial changes * Tackling more mypy issues * Reintroduce from FARM and fix last mypy issues hopefully * Re-enable old-style imports * Fix some more import from the top-level package in an attempt to sort out circular imports * Fix some imports in tests to new-style to prevent failed class equalities from breaking tests * Change document_store into document_stores * Update imports in tutorials * Add latest docstring and tutorial changes * Probably fixes summarizer tests * Improve the old-style import allowing module imports (should work) * Try to fix the docs * Remove dedicated KnowledgeGraph page from autodocs * Remove dedicated GraphRetriever page from autodocs * Fix generate_docstrings.sh with an updated list of yaml files to look for * Fix some more modules in the docs * Fix the document stores docs too * Fix a small issue on Tutorial14 * Add latest docstring and tutorial changes * Add deprecation warning to old-style imports * Remove stray folder and import Dict into dense.py * Change import path for MLFlowLogger * Add old loggers path to the import path aliases * Fix debug output of convert_ipynb.py * Fix circular import on BaseRetriever * Missed one merge block * re-run tutorial 5 * Fix imports in tutorial 5 * Re-enable squad_to_dpr CLI from the root package and move get_batches_from_generator into document_stores.base * Add latest docstring and tutorial changes * Fix typo in utils __init__ * Fix a few more imports * Fix benchmarks too * New-style imports in test_knowledge_graph * Rollback setup.py * Rollback squad_to_dpr too Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
import pytest
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from haystack.schema import Document
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from haystack.nodes.document_classifier.base import BaseDocumentClassifier
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@pytest.mark.slow
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def test_document_classifier(document_classifier):
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assert isinstance(document_classifier, BaseDocumentClassifier)
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docs = [
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Document(
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content="""That's good. I like it."""*700, # extra long text to check truncation
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meta={"name": "0"},
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id="1",
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),
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Document(
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content="""That's bad. I don't like it.""",
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meta={"name": "1"},
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id="2",
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),
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]
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results = document_classifier.predict(documents=docs)
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expected_labels = ["joy", "sadness"]
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for i, doc in enumerate(results):
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assert doc.to_dict()["meta"]["classification"]["label"] == expected_labels[i]
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@pytest.mark.slow
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def test_zero_shot_document_classifier(zero_shot_document_classifier):
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assert isinstance(zero_shot_document_classifier, BaseDocumentClassifier)
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docs = [
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Document(
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content="""That's good. I like it."""*700, # extra long text to check truncation
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meta={"name": "0"},
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id="1",
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),
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Document(
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content="""That's bad. I don't like it.""",
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meta={"name": "1"},
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id="2",
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),
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]
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results = zero_shot_document_classifier.predict(documents=docs)
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expected_labels = ["positive", "negative"]
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for i, doc in enumerate(results):
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assert doc.to_dict()["meta"]["classification"]["label"] == expected_labels[i]
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