fix(checkpoint): preserve non-ascii text in InMemoryStore embeddings (#6111)

### Description
* Set `ensure_ascii=False` for all `json.dumps` calls in
`get_text_at_path`. Preserves non-ASCII text instead of embedding
`\uXXXX` escapes.

**Before**
```python
store.put(("user_123", "memories"), "1", {"text": "这是中文"})
# embeds {"text": "\\u8fd9\\u662f\\u4e2d\\u6587"}
```

**After**
```python
store.put(("user_123", "memories"), "1", {"text": "这是中文"})
# embeds {"text": "这是中文"}
```

### Tests & Docs

* Add unit test `test_non_ascii` that writes three records (Chinese,
Japanese, Korean) to an `InMemoryStore`, searches with the same strings,
and asserts the correct top hit with a score >= 0.15 for each.

### Issue
Fixes #5946
This commit is contained in:
Caspar Broekhuizen
2025-09-09 17:52:11 +00:00
committed by GitHub
parent 7bbe8d8628
commit 682f39e0d3
5 changed files with 151 additions and 45 deletions
@@ -861,3 +861,46 @@ def test_store_ttl(store):
# Now has been (TTL_SECONDS-2)*2 > TTL_SECONDS + TTL_SECONDS/2
res = store.search(ns, query="bar", refresh_ttl=False)
assert len(res) == 0
@pytest.mark.parametrize(
"vector_type,distance_type",
[
("vector", "cosine"),
("vector", "inner_product"),
("halfvec", "cosine"),
("halfvec", "inner_product"),
],
)
def test_non_ascii(
request: Any,
fake_embeddings: CharacterEmbeddings,
vector_type: str,
distance_type: str,
) -> None:
"""Test support for non-ascii characters"""
with _create_vector_store(
vector_type,
distance_type,
fake_embeddings
) as store:
store.put(("user_123", "memories"), "1", {"text": "这是中文"}) # Chinese
store.put(
("user_123", "memories"), "2", {"text": "これは日本語です"}
) # Japanese
store.put(("user_123", "memories"), "3", {"text": "이건 한국어야"}) # Korean
store.put(("user_123", "memories"), "4", {"text": "Это русский"}) # Russian
store.put(("user_123", "memories"), "5", {"text": "यह रूसी है"}) # Hindi
result1 = store.search(("user_123", "memories"), query="这是中文")
result2 = store.search(("user_123", "memories"), query="これは日本語です")
result3 = store.search(("user_123", "memories"), query="이건 한국어야")
result4 = store.search(("user_123", "memories"), query="Это русский")
result5 = store.search(("user_123", "memories"), query="यह रूसी है")
assert result1[0].key == "1"
assert result2[0].key == "2"
assert result3[0].key == "3"
assert result4[0].key == "4"
assert result5[0].key == "5"
@@ -1067,3 +1067,31 @@ def test_sql_injection_vulnerability(store: SqliteStore) -> None:
with pytest.raises(ValueError, match="Invalid filter key"):
store.search(("docs",), filter={malicious_key: "dummy"})
@pytest.mark.parametrize("distance_type", VECTOR_TYPES)
def test_non_ascii(
fake_embeddings: CharacterEmbeddings,
distance_type: str,
) -> None:
"""Test support for non-ascii characters"""
with create_vector_store(fake_embeddings, distance_type=distance_type) as store:
store.put(("user_123", "memories"), "1", {"text": "这是中文"}) # Chinese
store.put(
("user_123", "memories"), "2", {"text": "これは日本語です"}
) # Japanese
store.put(("user_123", "memories"), "3", {"text": "이건 한국어야"}) # Korean
store.put(("user_123", "memories"), "4", {"text": "Это русский"}) # Russian
store.put(("user_123", "memories"), "5", {"text": "यह रूसी है"}) # Hindi
result1 = store.search(("user_123", "memories"), query="这是中文")
result2 = store.search(("user_123", "memories"), query="これは日本語です")
result3 = store.search(("user_123", "memories"), query="이건 한국어야")
result4 = store.search(("user_123", "memories"), query="Это русский")
result5 = store.search(("user_123", "memories"), query="यह रूसी है")
assert result1[0].key == "1"
assert result2[0].key == "2"
assert result3[0].key == "3"
assert result4[0].key == "4"
assert result5[0].key == "5"
@@ -238,7 +238,7 @@ def get_text_at_path(obj: Any, path: str | list[str]) -> list[str]:
- Nested paths in multi-field: "{field1,nested.field2}"
"""
if not path or path == "$":
return [json.dumps(obj, sort_keys=True)]
return [json.dumps(obj, sort_keys=True, ensure_ascii=False)]
tokens = tokenize_path(path) if isinstance(path, str) else path
@@ -249,7 +249,7 @@ def get_text_at_path(obj: Any, path: str | list[str]) -> list[str]:
elif obj is None:
return []
elif isinstance(obj, (list, dict)):
return [json.dumps(obj, sort_keys=True)]
return [json.dumps(obj, sort_keys=True, ensure_ascii=False)]
return []
token = tokens[pos]
@@ -295,7 +295,11 @@ def get_text_at_path(obj: Any, path: str | list[str]) -> list[str]:
if isinstance(current_obj, (str, int, float, bool)):
results.append(str(current_obj))
elif isinstance(current_obj, (list, dict)):
results.append(json.dumps(current_obj, sort_keys=True))
results.append(
json.dumps(
current_obj, sort_keys=True, ensure_ascii=False
)
)
# Handle wildcard
elif token == "*":
+49 -42
View File
@@ -5,12 +5,13 @@ import time
import pytest
import redis
from langgraph.cache.base import FullKey
from langgraph.cache.redis import RedisCache
class TestRedisCache:
@pytest.fixture(autouse=True)
def setup(self):
def setup(self) -> None:
"""Set up test Redis client and cache."""
self.client = redis.Redis(
host="localhost", port=6379, db=0, decode_responses=False
@@ -20,21 +21,21 @@ class TestRedisCache:
except redis.ConnectionError:
pytest.skip("Redis server not available")
self.cache = RedisCache(self.client, prefix="test:cache:")
self.cache: RedisCache = RedisCache(self.client, prefix="test:cache:")
# Clean up before each test
self.client.flushdb()
def teardown_method(self):
def teardown_method(self) -> None:
"""Clean up after each test."""
try:
self.client.flushdb()
except Exception:
pass
def test_basic_set_and_get(self):
def test_basic_set_and_get(self) -> None:
"""Test basic set and get operations."""
keys = [(("graph", "node"), "key1")]
keys: list[FullKey] = [(("graph", "node"), "key1")]
values = {keys[0]: ({"result": 42}, None)}
# Set value
@@ -45,9 +46,9 @@ class TestRedisCache:
assert len(result) == 1
assert result[keys[0]] == {"result": 42}
def test_batch_operations(self):
def test_batch_operations(self) -> None:
"""Test batch set and get operations."""
keys = [
keys: list[FullKey] = [
(("graph", "node1"), "key1"),
(("graph", "node2"), "key2"),
(("other", "node"), "key3"),
@@ -68,9 +69,9 @@ class TestRedisCache:
assert result[keys[1]] == {"result": 2}
assert result[keys[2]] == {"result": 3}
def test_ttl_behavior(self):
def test_ttl_behavior(self) -> None:
"""Test TTL (time-to-live) functionality."""
key = (("graph", "node"), "ttl_key")
key: FullKey = (("graph", "node"), "ttl_key")
values = {key: ({"data": "expires_soon"}, 1)} # 1 second TTL
# Set with TTL
@@ -88,10 +89,10 @@ class TestRedisCache:
result = self.cache.get([key])
assert len(result) == 0
def test_namespace_isolation(self):
def test_namespace_isolation(self) -> None:
"""Test that different namespaces are isolated."""
key1 = (("graph1", "node"), "same_key")
key2 = (("graph2", "node"), "same_key")
key1: FullKey = (("graph1", "node"), "same_key")
key2: FullKey = (("graph2", "node"), "same_key")
values = {key1: ({"graph": 1}, None), key2: ({"graph": 2}, None)}
@@ -101,9 +102,12 @@ class TestRedisCache:
assert result[key1] == {"graph": 1}
assert result[key2] == {"graph": 2}
def test_clear_all(self):
def test_clear_all(self) -> None:
"""Test clearing all cached values."""
keys = [(("graph", "node1"), "key1"), (("graph", "node2"), "key2")]
keys: list[FullKey] = [
(("graph", "node1"), "key1"),
(("graph", "node2"), "key2"),
]
values = {keys[0]: ({"result": 1}, None), keys[1]: ({"result": 2}, None)}
self.cache.set(values)
@@ -119,9 +123,9 @@ class TestRedisCache:
result = self.cache.get(keys)
assert len(result) == 0
def test_clear_by_namespace(self):
def test_clear_by_namespace(self) -> None:
"""Test clearing cached values by namespace."""
keys = [
keys: list[FullKey] = [
(("graph1", "node"), "key1"),
(("graph2", "node"), "key2"),
(("graph1", "other"), "key3"),
@@ -142,7 +146,7 @@ class TestRedisCache:
assert len(result) == 1
assert result[keys[1]] == {"result": 2}
def test_empty_operations(self):
def test_empty_operations(self) -> None:
"""Test behavior with empty keys/values."""
# Empty get
result = self.cache.get([])
@@ -151,14 +155,14 @@ class TestRedisCache:
# Empty set
self.cache.set({}) # Should not raise error
def test_nonexistent_keys(self):
def test_nonexistent_keys(self) -> None:
"""Test getting keys that don't exist."""
keys = [(("graph", "node"), "nonexistent")]
keys: list[FullKey] = [(("graph", "node"), "nonexistent")]
result = self.cache.get(keys)
assert len(result) == 0
@pytest.mark.asyncio
async def test_async_operations(self):
async def test_async_operations(self) -> None:
"""Test async set and get operations with sync Redis client."""
# Create sync Redis client and cache (like main integration tests)
client = redis.Redis(host="localhost", port=6379, db=1, decode_responses=False)
@@ -167,9 +171,9 @@ class TestRedisCache:
except Exception:
pytest.skip("Redis not available")
cache = RedisCache(client, prefix="test:async:")
cache: RedisCache = RedisCache(client, prefix="test:async:")
keys = [(("graph", "node"), "async_key")]
keys: list[FullKey] = [(("graph", "node"), "async_key")]
values = {keys[0]: ({"async": True}, None)}
# Async set (delegates to sync)
@@ -184,7 +188,7 @@ class TestRedisCache:
client.flushdb()
@pytest.mark.asyncio
async def test_async_clear(self):
async def test_async_clear(self) -> None:
"""Test async clear operations with sync Redis client."""
# Create sync Redis client and cache (like main integration tests)
client = redis.Redis(host="localhost", port=6379, db=1, decode_responses=False)
@@ -193,9 +197,9 @@ class TestRedisCache:
except Exception:
pytest.skip("Redis not available")
cache = RedisCache(client, prefix="test:async:")
cache: RedisCache = RedisCache(client, prefix="test:async:")
keys = [(("graph", "node"), "key")]
keys: list[FullKey] = [(("graph", "node"), "key")]
values = {keys[0]: ({"data": "test"}, None)}
await cache.aset(values)
@@ -214,44 +218,44 @@ class TestRedisCache:
# Cleanup
client.flushdb()
def test_redis_unavailable_get(self):
def test_redis_unavailable_get(self) -> None:
"""Test behavior when Redis is unavailable during get operations."""
# Create cache with non-existent Redis server
bad_client = redis.Redis(
host="nonexistent", port=9999, socket_connect_timeout=0.1
)
cache = RedisCache(bad_client, prefix="test:cache:")
cache: RedisCache = RedisCache(bad_client, prefix="test:cache:")
keys = [(("graph", "node"), "key")]
keys: list[FullKey] = [(("graph", "node"), "key")]
result = cache.get(keys)
# Should return empty dict when Redis unavailable
assert result == {}
def test_redis_unavailable_set(self):
def test_redis_unavailable_set(self) -> None:
"""Test behavior when Redis is unavailable during set operations."""
# Create cache with non-existent Redis server
bad_client = redis.Redis(
host="nonexistent", port=9999, socket_connect_timeout=0.1
)
cache = RedisCache(bad_client, prefix="test:cache:")
cache: RedisCache = RedisCache(bad_client, prefix="test:cache:")
keys = [(("graph", "node"), "key")]
keys: list[FullKey] = [(("graph", "node"), "key")]
values = {keys[0]: ({"data": "test"}, None)}
# Should not raise exception when Redis unavailable
cache.set(values) # Should silently fail
@pytest.mark.asyncio
async def test_redis_unavailable_async(self):
async def test_redis_unavailable_async(self) -> None:
"""Test async behavior when Redis is unavailable."""
# Create sync cache with non-existent Redis server (like main integration tests)
bad_client = redis.Redis(
host="nonexistent", port=9999, socket_connect_timeout=0.1
)
cache = RedisCache(bad_client, prefix="test:cache:")
cache: RedisCache = RedisCache(bad_client, prefix="test:cache:")
keys = [(("graph", "node"), "key")]
keys: list[FullKey] = [(("graph", "node"), "key")]
values = {keys[0]: ({"data": "test"}, None)}
# Should return empty dict for get (delegates to sync)
@@ -261,10 +265,10 @@ class TestRedisCache:
# Should not raise exception for set (delegates to sync)
await cache.aset(values) # Should silently fail
def test_corrupted_data_handling(self):
def test_corrupted_data_handling(self) -> None:
"""Test handling of corrupted data in Redis."""
# Set some valid data first
keys = [(("graph", "node"), "valid_key")]
keys: list[FullKey] = [(("graph", "node"), "valid_key")]
values = {keys[0]: ({"data": "valid"}, None)}
self.cache.set(values)
@@ -273,33 +277,36 @@ class TestRedisCache:
self.client.set(corrupted_key, b"invalid:data:format:too:many:colons")
# Should skip corrupted entry and return only valid ones
all_keys = [keys[0], (("graph", "node"), "corrupted_key")]
all_keys: list[FullKey] = [keys[0], (("graph", "node"), "corrupted_key")]
result = self.cache.get(all_keys)
assert len(result) == 1
assert result[keys[0]] == {"data": "valid"}
def test_key_parsing_edge_cases(self):
def test_key_parsing_edge_cases(self) -> None:
"""Test key parsing with edge cases."""
# Test empty namespace
key1 = ((), "empty_ns")
key1: FullKey = ((), "empty_ns")
values = {key1: ({"data": "empty_ns"}, None)}
self.cache.set(values)
result = self.cache.get([key1])
assert result[key1] == {"data": "empty_ns"}
# Test namespace with special characters
key2 = (("graph:with:colons", "node-with-dashes"), "key_with_underscores")
key2: FullKey = (
("graph:with:colons", "node-with-dashes"),
"key_with_underscores",
)
values = {key2: ({"data": "special_chars"}, None)}
self.cache.set(values)
result = self.cache.get([key2])
assert result[key2] == {"data": "special_chars"}
def test_large_data_serialization(self):
def test_large_data_serialization(self) -> None:
"""Test handling of large data objects."""
# Create a large data structure
large_data = {"large_list": list(range(1000)), "nested": {"data": "x" * 1000}}
key = (("graph", "node"), "large_key")
key: FullKey = (("graph", "node"), "large_key")
values = {key: (large_data, None)}
self.cache.set(values)
+24
View File
@@ -1021,3 +1021,27 @@ async def test_embed_with_path(fake_embeddings: CharacterEmbeddings) -> None:
assert len(results) == 3
doc5_result = next(r for r in results if r.key == "doc5")
assert doc5_result.score is None
def test_non_ascii(fake_embeddings: CharacterEmbeddings) -> None:
"""Test support for non-ascii characters"""
store = InMemoryStore(
index={"dims": fake_embeddings.dims, "embed": fake_embeddings}
)
store.put(("user_123", "memories"), "1", {"text": "这是中文"}) # Chinese
store.put(("user_123", "memories"), "2", {"text": "これは日本語です"}) # Japanese
store.put(("user_123", "memories"), "3", {"text": "이건 한국어야"}) # Korean
store.put(("user_123", "memories"), "4", {"text": "Это русский"}) # Russian
store.put(("user_123", "memories"), "5", {"text": "यह रूसी है"}) # Hindi
result1 = store.search(("user_123", "memories"), query="这是中文")
result2 = store.search(("user_123", "memories"), query="これは日本語です")
result3 = store.search(("user_123", "memories"), query="이건 한국어야")
result4 = store.search(("user_123", "memories"), query="Это русский")
result5 = store.search(("user_123", "memories"), query="यह रूसी है")
assert result1[0].key == "1"
assert result2[0].key == "2"
assert result3[0].key == "3"
assert result4[0].key == "4"
assert result5[0].key == "5"