d460b899e3
Bugfix/dynamic primary issues * Merge branch 'main' into bugfix/dynamic-primary-issues * Merged main into bugfix/dynamic-primary-issues * Crosswalk updates * Merge branch 'main' into bugfix/dynamic-primary-issues * dont include section information in Exhibit Header * Add Molina Health Benefit Exchange to Product-LOB mapping * PPO-POS separate mapping * Prevent inference of LOB from Program or Product * Add SoonerSelect * Update mapping rules to allow for direct values * update prompts * Prep for run * Merged main into bugfix/dynamic-primary-issues * Update unit tests * Update Moda Product mappings * Remove Care1st as Product for Centene * testing * Mapping update * Mapping updates * prep for merge * Merged main into bugfix/dynamic-primary-issues * Merged main into bugfix/dynamic-primary-issues * docstrings and formatting * Get group provider for > 1 * Merged main into bugfix/dynamic-primary-issues Approved-by: Alex Galarce
113 lines
4.7 KiB
Python
113 lines
4.7 KiB
Python
import pytest
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from src.preprocessing_funcs import (
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remove_page_indicators,
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clean_law_symbols,
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filter_quick_review,
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get_exhibit_pages,
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)
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import src.prompts.investment_prompts as investment_prompts
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import src.config as config
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from src.client.smart_chunking_funcs import smart_chunk_ac
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from unittest.mock import patch
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class TestPreprocessingFuncs:
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# Test cases for clean_newlines
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@pytest.mark.parametrize("input_text, expected_output", [
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# Removes page number indicators
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("Page 1 of 10\n\nThis is a test.", " This is a test."),
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# Handles multiple newlines
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("Line 1\n\nLine 2\n\nLine 3", "Line 1\n\nLine 2\n\nLine 3"),
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# Handles no newlines
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("This is a single line.", "This is a single line."),
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])
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def test_clean_newlines(self, input_text, expected_output):
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assert remove_page_indicators(input_text) == expected_output
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# Test cases for clean_law_symbols
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@pytest.mark.parametrize("input_text, expected_output", [
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# Replaces double dollar signs
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("This is a $$ test.", "This is a $ test."),
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# Replaces U.S.C. symbol
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("U.S.C. $1234", "U.S.C.§1234"),
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# Replaces C.F.R. symbol
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("C.F.R. $1234", "C.F.R.§1234"),
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# Replaces $ followed by three decimal places
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("$123.456", "§123.456"),
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# Handles no replacements
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("This is a normal text.", "This is a normal text."),
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# Handles mixed replacements
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("U.S.C. $1234 and C.F.R. $5678 and $123.456", "U.S.C.§1234 and C.F.R.§5678 and §123.456"),
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])
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def test_clean_law_symbols(self, input_text, expected_output):
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assert clean_law_symbols(input_text) == expected_output
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# Test cases for smart_chunk_ac
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@pytest.mark.parametrize("methodology, mock_return, chunking_fn_name, expected_chunk, expected_pages", [
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# OR methodology
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("or", [1, 2], "or", "Content1\nContent2", {"test": [1, 2]}),
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# Hierarchy methodology
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("hierarchy", [1, 2], "hierarchical", "Content1\nContent2", {"test": [1, 2]}),
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# AND methodology
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("and", [1], "and", "Content1", {"test": [1]}),
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# Regex methodology
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("regex", [1, 2], "regex", "Content1\nContent2", {"test": [1, 2]}),
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# Include/Exclude methodology
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("include_exclude", [1], "with_include_exclude_keywords", "Content1", {"test": [1]}),
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])
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def test_smart_chunk_ac(self, mocker, methodology, mock_return, chunking_fn_name, expected_chunk, expected_pages):
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# Mock the chunking functions
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mock_chunk_func = mocker.patch(f"src.client.smart_chunking_funcs.chunk_{chunking_fn_name}", return_value=mock_return)
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mock_keyword_search = mocker.patch("src.client.smart_chunking_funcs.keyword_search", return_value={"test": mock_return})
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text_dict = {"1": "Content1", "2": "Content2"}
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keyword_mappings = {"group1": {"methodology": methodology, "keywords": ["test"], "case_sensitive": False}}
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if methodology == "regex": keyword_mappings["group1"]["regex"] = "Content"
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if methodology == "include_exclude":
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del keyword_mappings["group1"]["keywords"]
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keyword_mappings["group1"]["included_keywords"] = ["Content"]
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keyword_mappings["group1"]["excluded_keywords"] = []
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result = smart_chunk_ac(text_dict, "Content1\nContent2", keyword_mappings)
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assert result["group1"] == expected_chunk
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assert result["group1_pages"] == expected_pages
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mock_chunk_func.assert_called_once()
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mock_keyword_search.assert_called_once()
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# Test cases for filter_quick_review
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@pytest.mark.parametrize("input_dict, expected_contract, expected_quick_review", [
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# Filters quick review pages
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(
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{"1": "QUICK REVIEW", "2": "Normal content", "3": "COVER SHEET"},
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{"2": "Normal content"},
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{"1": "QUICK REVIEW", "3": "COVER SHEET"}
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),
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# No quick review pages
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(
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{"1": "Normal content", "2": "More content"},
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{"1": "Normal content", "2": "More content"},
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{}
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),
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# All quick review pages
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(
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{"1": "QUICK REVIEW", "2": "TOP SHEET"},
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{},
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{"1": "QUICK REVIEW", "2": "TOP SHEET"}
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),
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# Case-insensitive matching
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(
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{"1": "quick review", "2": "Normal content"},
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{"2": "Normal content"},
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{"1": "quick review"}
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),
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])
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def test_filter_quick_review(self, input_dict, expected_contract, expected_quick_review):
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contract, quick_review = filter_quick_review(input_dict)
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assert contract == expected_contract
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assert quick_review == expected_quick_review
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