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feat(core): add sanitize_for_postgres utility to fix PostgreSQL NUL byte DataError (#32157)
This PR fixes the PostgreSQL NUL byte issue that causes
`psycopg.DataError` when inserting documents containing `\x00` bytes
into PostgreSQL-based vector stores.
## Problem
PostgreSQL text fields cannot contain NUL (0x00) bytes. When documents
with such characters are processed by PGVector or langchain-postgres
implementations, they fail with:
```
(psycopg.DataError) PostgreSQL text fields cannot contain NUL (0x00) bytes
```
This commonly occurs when processing PDFs, documents from various
loaders, or text extracted by libraries like unstructured that may
contain embedded NUL bytes.
## Solution
Added `sanitize_for_postgres()` utility function to
`langchain_core.utils.strings` that removes or replaces NUL bytes from
text content.
### Key Features
- **Simple API**: `sanitize_for_postgres(text, replacement="")`
- **Configurable**: Replace NUL bytes with empty string (default) or
space for readability
- **Comprehensive**: Handles all problematic examples from the original
issue
- **Well-tested**: Complete unit tests with real-world examples
- **Backward compatible**: No breaking changes, purely additive
### Usage Example
```python
from langchain_core.utils import sanitize_for_postgres
from langchain_core.documents import Document
# Before: This would fail with DataError
problematic_content = "Getting\x00Started with embeddings"
# After: Clean the content before database insertion
clean_content = sanitize_for_postgres(problematic_content)
# Result: "GettingStarted with embeddings"
# Or preserve readability with spaces
readable_content = sanitize_for_postgres(problematic_content, " ")
# Result: "Getting Started with embeddings"
# Use in Document processing
doc = Document(page_content=clean_content, metadata={...})
```
### Integration Pattern
PostgreSQL vector store implementations should sanitize content before
insertion:
```python
def add_documents(self, documents: List[Document]) -> List[str]:
# Sanitize documents before insertion
sanitized_docs = []
for doc in documents:
sanitized_content = sanitize_for_postgres(doc.page_content, " ")
sanitized_doc = Document(
page_content=sanitized_content,
metadata=doc.metadata,
id=doc.id
)
sanitized_docs.append(sanitized_doc)
return self._insert_documents_to_db(sanitized_docs)
```
## Changes Made
- Added `sanitize_for_postgres()` function in
`langchain_core/utils/strings.py`
- Updated `langchain_core/utils/__init__.py` to export the new function
- Added comprehensive unit tests in
`tests/unit_tests/utils/test_strings.py`
- Validated against all examples from the original issue report
## Testing
All tests pass, including:
- Basic NUL byte removal and replacement
- Multiple consecutive NUL bytes
- Empty string handling
- Real examples from the GitHub issue
- Backward compatibility with existing string utilities
This utility enables PostgreSQL integrations in both langchain-community
and langchain-postgres packages to handle documents with NUL bytes
reliably.
Fixes #26033.
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This commit is contained in:
@@ -23,7 +23,12 @@ if TYPE_CHECKING:
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from langchain_core.utils.iter import batch_iterate
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from langchain_core.utils.loading import try_load_from_hub
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from langchain_core.utils.pydantic import pre_init
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from langchain_core.utils.strings import comma_list, stringify_dict, stringify_value
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from langchain_core.utils.strings import (
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comma_list,
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sanitize_for_postgres,
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stringify_dict,
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stringify_value,
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)
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from langchain_core.utils.utils import (
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build_extra_kwargs,
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check_package_version,
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@@ -59,6 +64,7 @@ __all__ = (
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"pre_init",
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"print_text",
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"raise_for_status_with_text",
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"sanitize_for_postgres",
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"secret_from_env",
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"stringify_dict",
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"stringify_value",
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@@ -81,6 +87,7 @@ _dynamic_imports = {
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"try_load_from_hub": "loading",
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"pre_init": "pydantic",
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"comma_list": "strings",
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"sanitize_for_postgres": "strings",
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"stringify_dict": "strings",
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"stringify_value": "strings",
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"build_extra_kwargs": "utils",
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@@ -46,3 +46,26 @@ def comma_list(items: list[Any]) -> str:
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str: The comma-separated string.
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"""
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return ", ".join(str(item) for item in items)
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def sanitize_for_postgres(text: str, replacement: str = "") -> str:
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r"""Sanitize text by removing NUL bytes that are incompatible with PostgreSQL.
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PostgreSQL text fields cannot contain NUL (0x00) bytes, which can cause
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psycopg.DataError when inserting documents. This function removes or replaces
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such characters to ensure compatibility.
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Args:
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text: The text to sanitize.
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replacement: String to replace NUL bytes with. Defaults to empty string.
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Returns:
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str: The sanitized text with NUL bytes removed or replaced.
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Example:
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>>> sanitize_for_postgres("Hello\\x00world")
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'Helloworld'
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>>> sanitize_for_postgres("Hello\\x00world", " ")
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'Hello world'
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"""
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return text.replace("\x00", replacement)
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@@ -27,6 +27,7 @@ EXPECTED_ALL = [
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"pre_init",
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"from_env",
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"secret_from_env",
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"sanitize_for_postgres",
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]
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49
libs/core/tests/unit_tests/utils/test_strings.py
Normal file
49
libs/core/tests/unit_tests/utils/test_strings.py
Normal file
@@ -0,0 +1,49 @@
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"""Test string utilities."""
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from langchain_core.utils.strings import (
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comma_list,
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sanitize_for_postgres,
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stringify_dict,
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stringify_value,
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)
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def test_sanitize_for_postgres() -> None:
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"""Test sanitizing text for PostgreSQL compatibility."""
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# Test with NUL bytes
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text_with_nul = "Hello\x00world\x00test"
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expected = "Helloworldtest"
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assert sanitize_for_postgres(text_with_nul) == expected
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# Test with replacement character
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expected_with_replacement = "Hello world test"
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assert sanitize_for_postgres(text_with_nul, " ") == expected_with_replacement
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# Test with text without NUL bytes
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clean_text = "Hello world"
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assert sanitize_for_postgres(clean_text) == clean_text
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# Test empty string
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assert sanitize_for_postgres("") == ""
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# Test with multiple consecutive NUL bytes
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text_with_multiple_nuls = "Hello\x00\x00\x00world"
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assert sanitize_for_postgres(text_with_multiple_nuls) == "Helloworld"
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assert sanitize_for_postgres(text_with_multiple_nuls, "-") == "Hello---world"
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def test_existing_string_functions() -> None:
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"""Test existing string functions still work."""
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# Test comma_list
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assert comma_list([1, 2, 3]) == "1, 2, 3"
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assert comma_list(["a", "b", "c"]) == "a, b, c"
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# Test stringify_value
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assert stringify_value("hello") == "hello"
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assert stringify_value(42) == "42"
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# Test stringify_dict
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data = {"key": "value", "number": 123}
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result = stringify_dict(data)
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assert "key: value" in result
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assert "number: 123" in result
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