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doczyai-pipelines/fieldExtraction/tests/preprocessing_funcs_test.py
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import pytest
from src.preprocessing_funcs import (
remove_page_indicators,
clean_law_symbols,
filter_quick_review,
get_exhibit_pages,
)
import src.prompts.investment_prompts as investment_prompts
import src.config as config
from src.client.smart_chunking_funcs import smart_chunk_ac
from unittest.mock import patch
class TestPreprocessingFuncs:
# Test cases for clean_newlines
@pytest.mark.parametrize("input_text, expected_output", [
# Removes page number indicators
("Page 1 of 10\n\nThis is a test.", " This is a test."),
# Handles multiple newlines
("Line 1\n\nLine 2\n\nLine 3", "Line 1\n\nLine 2\n\nLine 3"),
# Handles no newlines
("This is a single line.", "This is a single line."),
])
def test_clean_newlines(self, input_text, expected_output):
assert remove_page_indicators(input_text) == expected_output
# Test cases for clean_law_symbols
@pytest.mark.parametrize("input_text, expected_output", [
# Replaces double dollar signs
("This is a $$ test.", "This is a $ test."),
# Replaces U.S.C. symbol
("U.S.C. $1234", "U.S.C.§1234"),
# Replaces C.F.R. symbol
("C.F.R. $1234", "C.F.R.§1234"),
# Replaces $ followed by three decimal places
("$123.456", "§123.456"),
# Handles no replacements
("This is a normal text.", "This is a normal text."),
# Handles mixed replacements
("U.S.C. $1234 and C.F.R. $5678 and $123.456", "U.S.C.§1234 and C.F.R.§5678 and §123.456"),
])
def test_clean_law_symbols(self, input_text, expected_output):
assert clean_law_symbols(input_text) == expected_output
# Test cases for smart_chunk_ac
@pytest.mark.parametrize("methodology, mock_return, chunking_fn_name, expected_chunk, expected_pages", [
# OR methodology
("or", [1, 2], "or", "Content1\nContent2", {"test": [1, 2]}),
# Hierarchy methodology
("hierarchy", [1, 2], "hierarchical", "Content1\nContent2", {"test": [1, 2]}),
# AND methodology
("and", [1], "and", "Content1", {"test": [1]}),
# Regex methodology
("regex", [1, 2], "regex", "Content1\nContent2", {"test": [1, 2]}),
# Include/Exclude methodology
("include_exclude", [1], "with_include_exclude_keywords", "Content1", {"test": [1]}),
])
def test_smart_chunk_ac(self, mocker, methodology, mock_return, chunking_fn_name, expected_chunk, expected_pages):
# Mock the chunking functions
mock_chunk_func = mocker.patch(f"src.client.smart_chunking_funcs.chunk_{chunking_fn_name}", return_value=mock_return)
mock_keyword_search = mocker.patch("src.client.smart_chunking_funcs.keyword_search", return_value={"test": mock_return})
text_dict = {"1": "Content1", "2": "Content2"}
keyword_mappings = {"group1": {"methodology": methodology, "keywords": ["test"], "case_sensitive": False}}
if methodology == "regex": keyword_mappings["group1"]["regex"] = "Content"
if methodology == "include_exclude":
del keyword_mappings["group1"]["keywords"]
keyword_mappings["group1"]["included_keywords"] = ["Content"]
keyword_mappings["group1"]["excluded_keywords"] = []
result = smart_chunk_ac(text_dict, "Content1\nContent2", keyword_mappings)
assert result["group1"] == expected_chunk
assert result["group1_pages"] == expected_pages
mock_chunk_func.assert_called_once()
mock_keyword_search.assert_called_once()
# Test cases for filter_quick_review
@pytest.mark.parametrize("input_dict, expected_contract, expected_quick_review", [
# Filters quick review pages
(
{"1": "QUICK REVIEW", "2": "Normal content", "3": "COVER SHEET"},
{"2": "Normal content"},
{"1": "QUICK REVIEW", "3": "COVER SHEET"}
),
# No quick review pages
(
{"1": "Normal content", "2": "More content"},
{"1": "Normal content", "2": "More content"},
{}
),
# All quick review pages
(
{"1": "QUICK REVIEW", "2": "TOP SHEET"},
{},
{"1": "QUICK REVIEW", "2": "TOP SHEET"}
),
# Case-insensitive matching
(
{"1": "quick review", "2": "Normal content"},
{"2": "Normal content"},
{"1": "quick review"}
),
])
def test_filter_quick_review(self, input_dict, expected_contract, expected_quick_review):
contract, quick_review = filter_quick_review(input_dict)
assert contract == expected_contract
assert quick_review == expected_quick_review