Files
lightrag/tests/test_write_json_optimization.py
yangdx f289cf6225 Optimize JSON write with fast/slow path to reduce memory usage
- Fast path for clean data (no sanitization)
- Slow path sanitizes during encoding
- Reload shared memory after sanitization
- Custom encoder avoids deep copies
- Comprehensive test coverage
2025-11-17 12:54:32 +08:00

245 lines
8.9 KiB
Python

"""
Test suite for write_json optimization
This test verifies:
1. Fast path works for clean data (no sanitization)
2. Slow path applies sanitization for dirty data
3. Sanitization is done during encoding (memory-efficient)
4. Reloading updates shared memory with cleaned data
"""
import os
import json
import tempfile
from lightrag.utils import write_json, load_json, SanitizingJSONEncoder
class TestWriteJsonOptimization:
"""Test write_json optimization with two-stage approach"""
def test_fast_path_clean_data(self):
"""Test that clean data takes the fast path without sanitization"""
clean_data = {
"name": "John Doe",
"age": 30,
"items": ["apple", "banana", "cherry"],
"nested": {"key": "value", "number": 42},
}
with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".json") as f:
temp_file = f.name
try:
# Write clean data - should return False (no sanitization)
needs_reload = write_json(clean_data, temp_file)
assert not needs_reload, "Clean data should not require sanitization"
# Verify data was written correctly
loaded_data = load_json(temp_file)
assert loaded_data == clean_data, "Loaded data should match original"
finally:
os.unlink(temp_file)
def test_slow_path_dirty_data(self):
"""Test that dirty data triggers sanitization"""
# Create data with surrogate characters (U+D800 to U+DFFF)
dirty_string = "Hello\ud800World" # Contains surrogate character
dirty_data = {"text": dirty_string, "number": 123}
with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".json") as f:
temp_file = f.name
try:
# Write dirty data - should return True (sanitization applied)
needs_reload = write_json(dirty_data, temp_file)
assert needs_reload, "Dirty data should trigger sanitization"
# Verify data was written and sanitized
loaded_data = load_json(temp_file)
assert loaded_data is not None, "Data should be written"
assert loaded_data["number"] == 123, "Clean fields should remain unchanged"
# Surrogate character should be removed
assert (
"\ud800" not in loaded_data["text"]
), "Surrogate character should be removed"
finally:
os.unlink(temp_file)
def test_sanitizing_encoder_removes_surrogates(self):
"""Test that SanitizingJSONEncoder removes surrogate characters"""
data_with_surrogates = {
"text": "Hello\ud800\udc00World", # Contains surrogate pair
"clean": "Clean text",
"nested": {"dirty_key\ud801": "value", "clean_key": "clean\ud802value"},
}
# Encode using custom encoder
encoded = json.dumps(
data_with_surrogates, cls=SanitizingJSONEncoder, ensure_ascii=False
)
# Verify no surrogate characters in output
assert "\ud800" not in encoded, "Surrogate U+D800 should be removed"
assert "\udc00" not in encoded, "Surrogate U+DC00 should be removed"
assert "\ud801" not in encoded, "Surrogate U+D801 should be removed"
assert "\ud802" not in encoded, "Surrogate U+D802 should be removed"
# Verify clean parts remain
assert "Clean text" in encoded, "Clean text should remain"
assert "clean_key" in encoded, "Clean keys should remain"
def test_nested_structure_sanitization(self):
"""Test sanitization of deeply nested structures"""
nested_data = {
"level1": {
"level2": {
"level3": {"dirty": "text\ud800here", "clean": "normal text"},
"list": ["item1", "item\ud801dirty", "item3"],
}
}
}
with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".json") as f:
temp_file = f.name
try:
needs_reload = write_json(nested_data, temp_file)
assert needs_reload, "Nested dirty data should trigger sanitization"
# Verify nested structure is preserved
loaded_data = load_json(temp_file)
assert "level1" in loaded_data
assert "level2" in loaded_data["level1"]
assert "level3" in loaded_data["level1"]["level2"]
# Verify surrogates are removed
dirty_text = loaded_data["level1"]["level2"]["level3"]["dirty"]
assert "\ud800" not in dirty_text, "Nested surrogate should be removed"
# Verify list items are sanitized
list_items = loaded_data["level1"]["level2"]["list"]
assert (
"\ud801" not in list_items[1]
), "List item surrogates should be removed"
finally:
os.unlink(temp_file)
def test_unicode_non_characters_removed(self):
"""Test that Unicode non-characters (U+FFFE, U+FFFF) don't cause encoding errors
Note: U+FFFE and U+FFFF are valid UTF-8 characters (though discouraged),
so they don't trigger sanitization. They only get removed when explicitly
using the SanitizingJSONEncoder.
"""
data_with_nonchars = {"text1": "Hello\ufffeWorld", "text2": "Test\uffffString"}
with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".json") as f:
temp_file = f.name
try:
# These characters are valid UTF-8, so they take the fast path
needs_reload = write_json(data_with_nonchars, temp_file)
assert not needs_reload, "U+FFFE/U+FFFF are valid UTF-8 characters"
loaded_data = load_json(temp_file)
# They're written as-is in the fast path
assert loaded_data == data_with_nonchars
finally:
os.unlink(temp_file)
def test_mixed_clean_dirty_data(self):
"""Test data with both clean and dirty fields"""
mixed_data = {
"clean_field": "This is perfectly fine",
"dirty_field": "This has\ud800issues",
"number": 42,
"boolean": True,
"null_value": None,
"clean_list": [1, 2, 3],
"dirty_list": ["clean", "dirty\ud801item"],
}
with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".json") as f:
temp_file = f.name
try:
needs_reload = write_json(mixed_data, temp_file)
assert (
needs_reload
), "Mixed data with dirty fields should trigger sanitization"
loaded_data = load_json(temp_file)
# Clean fields should remain unchanged
assert loaded_data["clean_field"] == "This is perfectly fine"
assert loaded_data["number"] == 42
assert loaded_data["boolean"]
assert loaded_data["null_value"] is None
assert loaded_data["clean_list"] == [1, 2, 3]
# Dirty fields should be sanitized
assert "\ud800" not in loaded_data["dirty_field"]
assert "\ud801" not in loaded_data["dirty_list"][1]
finally:
os.unlink(temp_file)
def test_empty_and_none_strings(self):
"""Test handling of empty and None values"""
data = {
"empty": "",
"none": None,
"zero": 0,
"false": False,
"empty_list": [],
"empty_dict": {},
}
with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".json") as f:
temp_file = f.name
try:
needs_reload = write_json(data, temp_file)
assert (
not needs_reload
), "Clean empty values should not trigger sanitization"
loaded_data = load_json(temp_file)
assert loaded_data == data, "Empty/None values should be preserved"
finally:
os.unlink(temp_file)
if __name__ == "__main__":
# Run tests
test = TestWriteJsonOptimization()
print("Running test_fast_path_clean_data...")
test.test_fast_path_clean_data()
print("✓ Passed")
print("Running test_slow_path_dirty_data...")
test.test_slow_path_dirty_data()
print("✓ Passed")
print("Running test_sanitizing_encoder_removes_surrogates...")
test.test_sanitizing_encoder_removes_surrogates()
print("✓ Passed")
print("Running test_nested_structure_sanitization...")
test.test_nested_structure_sanitization()
print("✓ Passed")
print("Running test_unicode_non_characters_removed...")
test.test_unicode_non_characters_removed()
print("✓ Passed")
print("Running test_mixed_clean_dirty_data...")
test.test_mixed_clean_dirty_data()
print("✓ Passed")
print("Running test_empty_and_none_strings...")
test.test_empty_and_none_strings()
print("✓ Passed")
print("\n✅ All tests passed!")