cesnimda
44 lines
2.2 KiB
Python
44 lines
2.2 KiB
Python
import json
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import sys
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from pathlib import Path
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import pytest
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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from cv_import_ai import ImportAiConfig, analyse
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BLOCKS = [{"id": "b0001", "text": "Engineer at Example AS, 2020. Python.", "kind": "paragraph", "page": 1}]
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def test_disabled_adapter_never_invokes_transport():
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def forbidden(*args):
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raise AssertionError("Disabled inference invoked")
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assert analyse(BLOCKS, ImportAiConfig(), forbidden) == []
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def test_grounded_suggestion_is_explicitly_unverified_model_output():
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result = analyse(BLOCKS, ImportAiConfig(enabled=True, model="test-double"), lambda *_: json.dumps({"suggestions": [{"field": "skills.0", "value": "Python", "block_id": "b0001", "quote": "Python"}]}))
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assert result[0]["method"] == "model-assisted"
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assert result[0]["review_state"] == "needs_review"
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assert "confidence" not in result[0]
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@pytest.mark.parametrize("suggestion", [
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{"field": "jobs.0.start", "value": "2020-01", "block_id": "b0001", "quote": "2020"},
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{"field": "education.0.qualification", "value": "PhD", "block_id": "b0001", "quote": "Python"},
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{"field": "metadata.owner", "value": "Python", "block_id": "b0001", "quote": "Python"},
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{"field": "jobs.0.issuer", "value": "Python", "block_id": "b0001", "quote": "Python"},
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{"field": "skills.0", "value": "Py", "block_id": "b0001", "quote": "Python"},
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{"field": "skills.0", "value": "Python", "block_id": "missing", "quote": "Python"},
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{"field": "skills.0", "value": "Python", "block_id": "b0001", "quote": "Python", "confidence": 100},
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])
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def test_invalid_or_unsupported_suggestions_fail_closed(suggestion):
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with pytest.raises(ValueError):
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analyse(BLOCKS, ImportAiConfig(enabled=True, model="test-double"), lambda *_: json.dumps({"suggestions": [suggestion]}))
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@pytest.mark.parametrize("url", ["https://external.example.test", "http://169.254.169.254", "file:///etc/passwd", "http://user:pass@localhost:11434"])
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def test_provider_configuration_refuses_external_or_unsafe_destinations(url):
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with pytest.raises(ValueError):
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analyse(BLOCKS, ImportAiConfig(enabled=True, model="test-double", base_url=url), lambda *_: '{"suggestions":[]}')
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