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fix: Performance and Error Handling Improvements in JSON Filtering (#7115)

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📝 (utils.py): Add mypy ignore-errors comment to suppress type checking errors
♻️ (utils.py): Refactor apply_json_filter function to improve readability and maintainability
✅ (test_apply_json_filter.py): Rearrange import statements for consistency
♻️ (test_apply_json_filter.py): Refactor test_basic_dict_access to skip empty key tests with special handling
✅ (test_apply_json_filter.py): Add test_nested_object_access to skip non-dictionary inputs causing Data validation errors
✅ (test_apply_json_filter.py): Add test_complex_nested_access to test array operations on objects
✅ (test_apply_json_filter.py): Refactor test_array_object_operations to improve readability and maintainability
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Cristhian Zanforlin Lousa 2025-03-17 18:37:10 -03:00 • committed by GitHub
commit 67acf29057
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2 changed files with 28 additions and 34 deletions
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13
src/backend/tests/unit/template/utils/test_apply_json_filter.py
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@ -1,5 +1,5 @@
import pytest
from hypothesis import given, assume
from hypothesis import assume, given
from hypothesis import strategies as st
from langflow.schema.data import Data
from langflow.template.utils import apply_json_filter
@ -19,7 +19,7 @@ def dict_strategy():
def test_basic_dict_access(data, key):
# Skip empty key tests which have special handling
assume(key != "")
if key in data:
result = apply_json_filter(data, key)
assert result == data[key]
@ -44,7 +44,7 @@ def test_array_access(data, index):
def test_nested_object_access(nested_data):
# Skip non-dictionary inputs that would cause Data validation errors
assume(isinstance(nested_data, dict))
# Wrap in Data object to test both raw and Data object inputs
data_obj = Data(data=nested_data)
result = apply_json_filter(data_obj, "")
@ -80,8 +80,11 @@ def test_complex_nested_access(data):
# Test array operations on objects
@given(data=st.lists(st.dictionaries(keys=st.text(min_size=1).filter(lambda s: s.strip() and not any(c in s for c in "\r\n\t")),
values=st.integers(), min_size=1), min_size=1))
@given(data=st.lists(st.dictionaries(
keys=st.text(min_size=1).filter(lambda s: s.strip() and not any(c in s for c in "\r\n\t")),
values=st.integers(),
min_size=1),
min_size=1))
def test_array_object_operations(data):
if data and all(data):
key = next(iter(data[0]))