cherry-pick 70cc2419
This commit is contained in:
parent
9ba9254cfb
commit
60b6b6bbae
1 changed files with 143 additions and 2 deletions
|
|
@ -11,11 +11,9 @@ This test verifies:
|
|||
import os
|
||||
import json
|
||||
import tempfile
|
||||
import pytest
|
||||
from lightrag.utils import write_json, load_json, SanitizingJSONEncoder
|
||||
|
||||
|
||||
@pytest.mark.offline
|
||||
class TestWriteJsonOptimization:
|
||||
"""Test write_json optimization with two-stage approach"""
|
||||
|
||||
|
|
@ -210,6 +208,137 @@ class TestWriteJsonOptimization:
|
|||
finally:
|
||||
os.unlink(temp_file)
|
||||
|
||||
def test_specific_surrogate_udc9a(self):
|
||||
"""Test specific surrogate character \\udc9a mentioned in the issue"""
|
||||
# Test the exact surrogate character from the error message:
|
||||
# UnicodeEncodeError: 'utf-8' codec can't encode character '\\udc9a'
|
||||
data_with_udc9a = {
|
||||
"text": "Some text with surrogate\udc9acharacter",
|
||||
"position": 201, # As mentioned in the error
|
||||
"clean_field": "Normal text",
|
||||
}
|
||||
|
||||
with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".json") as f:
|
||||
temp_file = f.name
|
||||
|
||||
try:
|
||||
# Write data - should trigger sanitization
|
||||
needs_reload = write_json(data_with_udc9a, temp_file)
|
||||
assert needs_reload, "Data with \\udc9a should trigger sanitization"
|
||||
|
||||
# Verify surrogate was removed
|
||||
loaded_data = load_json(temp_file)
|
||||
assert loaded_data is not None
|
||||
assert "\udc9a" not in loaded_data["text"], "\\udc9a should be removed"
|
||||
assert (
|
||||
loaded_data["clean_field"] == "Normal text"
|
||||
), "Clean fields should remain"
|
||||
finally:
|
||||
os.unlink(temp_file)
|
||||
|
||||
def test_migration_with_surrogate_sanitization(self):
|
||||
"""Test that migration process handles surrogate characters correctly
|
||||
|
||||
This test simulates the scenario where legacy cache contains surrogate
|
||||
characters and ensures they are cleaned during migration.
|
||||
"""
|
||||
# Simulate legacy cache data with surrogate characters
|
||||
legacy_data_with_surrogates = {
|
||||
"cache_entry_1": {
|
||||
"return": "Result with\ud800surrogate",
|
||||
"cache_type": "extract",
|
||||
"original_prompt": "Some\udc9aprompt",
|
||||
},
|
||||
"cache_entry_2": {
|
||||
"return": "Clean result",
|
||||
"cache_type": "query",
|
||||
"original_prompt": "Clean prompt",
|
||||
},
|
||||
}
|
||||
|
||||
with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".json") as f:
|
||||
temp_file = f.name
|
||||
|
||||
try:
|
||||
# First write the dirty data directly (simulating legacy cache file)
|
||||
# Use custom encoder to force write even with surrogates
|
||||
with open(temp_file, "w", encoding="utf-8") as f:
|
||||
json.dump(
|
||||
legacy_data_with_surrogates,
|
||||
f,
|
||||
cls=SanitizingJSONEncoder,
|
||||
ensure_ascii=False,
|
||||
)
|
||||
|
||||
# Load and verify surrogates were cleaned during initial write
|
||||
loaded_data = load_json(temp_file)
|
||||
assert loaded_data is not None
|
||||
|
||||
# The data should be sanitized
|
||||
assert (
|
||||
"\ud800" not in loaded_data["cache_entry_1"]["return"]
|
||||
), "Surrogate in return should be removed"
|
||||
assert (
|
||||
"\udc9a" not in loaded_data["cache_entry_1"]["original_prompt"]
|
||||
), "Surrogate in prompt should be removed"
|
||||
|
||||
# Clean data should remain unchanged
|
||||
assert (
|
||||
loaded_data["cache_entry_2"]["return"] == "Clean result"
|
||||
), "Clean data should remain"
|
||||
|
||||
finally:
|
||||
os.unlink(temp_file)
|
||||
|
||||
def test_empty_values_after_sanitization(self):
|
||||
"""Test that data with empty values after sanitization is properly handled
|
||||
|
||||
Critical edge case: When sanitization results in data with empty string values,
|
||||
we must use 'if cleaned_data is not None' instead of 'if cleaned_data' to ensure
|
||||
proper reload, since truthy check on dict depends on content, not just existence.
|
||||
"""
|
||||
# Create data where ALL values are only surrogate characters
|
||||
all_dirty_data = {
|
||||
"key1": "\ud800\udc00\ud801",
|
||||
"key2": "\ud802\ud803",
|
||||
}
|
||||
|
||||
with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".json") as f:
|
||||
temp_file = f.name
|
||||
|
||||
try:
|
||||
# Write dirty data - should trigger sanitization
|
||||
needs_reload = write_json(all_dirty_data, temp_file)
|
||||
assert needs_reload, "All-dirty data should trigger sanitization"
|
||||
|
||||
# Load the sanitized data
|
||||
cleaned_data = load_json(temp_file)
|
||||
|
||||
# Critical assertions for the edge case
|
||||
assert cleaned_data is not None, "Cleaned data should not be None"
|
||||
# Sanitization removes surrogates but preserves keys with empty values
|
||||
assert cleaned_data == {
|
||||
"key1": "",
|
||||
"key2": "",
|
||||
}, "Surrogates should be removed, keys preserved"
|
||||
# This dict is truthy because it has keys (even with empty values)
|
||||
assert cleaned_data, "Dict with keys is truthy"
|
||||
|
||||
# Test the actual edge case: empty dict
|
||||
empty_data = {}
|
||||
needs_reload2 = write_json(empty_data, temp_file)
|
||||
assert not needs_reload2, "Empty dict is clean"
|
||||
|
||||
reloaded_empty = load_json(temp_file)
|
||||
assert reloaded_empty is not None, "Empty dict should not be None"
|
||||
assert reloaded_empty == {}, "Empty dict should remain empty"
|
||||
assert (
|
||||
not reloaded_empty
|
||||
), "Empty dict evaluates to False (the critical check)"
|
||||
|
||||
finally:
|
||||
os.unlink(temp_file)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# Run tests
|
||||
|
|
@ -243,4 +372,16 @@ if __name__ == "__main__":
|
|||
test.test_empty_and_none_strings()
|
||||
print("✓ Passed")
|
||||
|
||||
print("Running test_specific_surrogate_udc9a...")
|
||||
test.test_specific_surrogate_udc9a()
|
||||
print("✓ Passed")
|
||||
|
||||
print("Running test_migration_with_surrogate_sanitization...")
|
||||
test.test_migration_with_surrogate_sanitization()
|
||||
print("✓ Passed")
|
||||
|
||||
print("Running test_empty_values_after_sanitization...")
|
||||
test.test_empty_values_after_sanitization()
|
||||
print("✓ Passed")
|
||||
|
||||
print("\n✅ All tests passed!")
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue