deepset-ai/haystack · error · ValueError
secondary_split_length must be at least 1.
Error message
secondary_split_length must be at least 1.
What it means
PythonCodeSplitter.__init__ requires secondary_split_length, when provided, to be at least 1 character. A length of 0 or negative cannot produce any chunks, so initialization fails fast with this ValueError.
Source
Thrown at haystack/components/preprocessors/python_code_splitter.py:136
:param secondary_split_length: Lines per chunk for the secondary splitter.
Defaults to ``max_effective_lines`` when ``None``.
:raises ValueError: If any parameter is invalid (negative, zero where positive is
required, or ``min_effective_lines > max_effective_lines``).
"""
if min_effective_lines < 1:
raise ValueError("min_effective_lines must be at least 1.")
if max_effective_lines < 1:
raise ValueError("max_effective_lines must be at least 1.")
if min_effective_lines > max_effective_lines:
raise ValueError("min_effective_lines must not be greater than max_effective_lines.")
if expected_chars_per_line < 1:
raise ValueError("expected_chars_per_line must be at least 1.")
if oversized_factor < 1:
raise ValueError("oversized_factor must be at least 1.")
if secondary_split_overlap < 0:
raise ValueError("secondary_split_overlap must be non-negative.")
if secondary_split_length is not None and secondary_split_length < 1:
raise ValueError("secondary_split_length must be at least 1.")
self.min_effective_lines = min_effective_lines
self.max_effective_lines = max_effective_lines
self.expected_chars_per_line = expected_chars_per_line
self.oversized_factor = oversized_factor
self.strip_docstrings = strip_docstrings
self.preserve_class_definition = preserve_class_definition
self.secondary_split_overlap = secondary_split_overlap
self.secondary_split_length = secondary_split_length
def _effective_lines(self, text: str) -> int:
"""Return the number of *effective lines* for ``text`` (see class docstring)."""
if not text:
return 0
return max(1, math.ceil(len(text) / self.expected_chars_per_line))
def _is_oversized(self, unit: "_CodeUnit") -> bool:
"""Return ``True`` if ``unit`` should trigger the secondary line-based split."""View on GitHub (pinned to e318778c9b)
Solutions
- Set secondary_split_length to a positive integer (e.g. 500-1000).
- If the value is dynamic, validate/clamp before constructing: max(1, n).
- Pass None instead of 0 to fall back to the default secondary length.
Example fix
// before splitter = PythonCodeSplitter(secondary_split_length=0) // after splitter = PythonCodeSplitter(secondary_split_length=512)
Defensive patterns
Strategy: validation
Validate before calling
if secondary_split_length is not None and secondary_split_length < 1:
raise ValueError(f'secondary_split_length must be >= 1, got {secondary_split_length}') Type guard
def is_valid_length(v) -> bool:
return v is None or (isinstance(v, int) and v >= 1) Try / catch
try:
splitter = PythonCodeSplitter(secondary_split_length=cfg.get('secondary_split_length'))
except ValueError as e:
logger.error('Invalid secondary_split_length: %s', e)
splitter = PythonCodeSplitter() Prevention
- Use None (not 0) to mean 'use default'.
- Sanitize numeric config inputs at load time.
- Document valid ranges for splitter parameters in your config schema.
When it happens
Trigger: PythonCodeSplitter(secondary_split_length=0), a negative value, or passing None-derived values into arithmetic that yields < 1.
Common situations: Config-driven pipelines where secondary_split_length comes from user input or a computed expression that resolves to 0; misunderstanding that None means 'use default' while 0 means 'invalid'.
Understand the failure class
Background: "must be positive", "Invalid value": how libraries reject invalid parameter values (ValueError, ArgumentError, INVALID_PARAMETER_VALUE) — this error's family across 28 libraries.
Related errors
- header_split_levels must be a non-empty list.
- min_effective_lines must be at least 1.
- max_effective_lines must be at least 1.
- expected_chars_per_line must be at least 1.
- oversized_factor must be at least 1.
AI-assisted analysis of deepset-ai/haystack@e318778c9b (2026-08-30).
Data as JSON: /api/errors/216a8e57685a9804.
Report an issue: GitHub.