Files
2026-07-13 12:08:54 +08:00

1235 lines
49 KiB
Python

from __future__ import annotations
import fnmatch
import os
import re
from dataclasses import dataclass
from pathlib import Path
from typing import Any
from lightrag.constants import (
DEFAULT_CHUNK_P_SIZE,
DEFAULT_R_SEPARATORS,
DEFAULT_SENTENCE_SPLIT_REGEX,
FULL_DOCS_FORMAT_LIGHTRAG,
FULL_DOCS_FORMAT_PENDING_PARSE,
FULL_DOCS_FORMAT_RAW,
PARSER_ENGINE_LEGACY,
PARSER_ENGINE_NATIVE,
PROCESS_OPTION_CHUNK_CHARS,
PROCESS_OPTION_CHUNK_FIXED,
PROCESS_OPTION_CHUNK_VECTOR,
PROCESS_OPTION_CHUNK_PARAGRAH,
PROCESS_OPTION_CHUNK_RECURSIVE,
PROCESS_OPTION_EQUATIONS,
PROCESS_OPTION_IMAGES,
PROCESS_OPTION_SKIP_KG,
PROCESS_OPTION_TABLES,
ProcessChunkingOption,
SUPPORTED_PROCESS_OPTIONS,
)
from lightrag.parser.registry import (
PARSER_ENGINE_PASSTHROUGH,
PARSER_ENGINE_REUSE,
engine_endpoint_configured,
engine_endpoint_requirement,
supported_parser_engines,
suffix_capabilities,
)
from lightrag.parser.param_schema import (
parse_chunk_params,
parse_engine_params,
render_engine_params,
split_top_level,
take_paren_block,
)
from lightrag.utils import logger, parse_optional_float
import json
from collections.abc import Mapping
from copy import deepcopy
# Trailing parser-hint pattern: matches ``.[engine].ext`` at end of basename.
# Group 1 captures the raw engine token (still needs normalize_parser_engine
# and SUPPORTED_PARSER_ENGINES validation); group 2 captures ``.ext`` so it
# can be reattached when stripping the hint.
_PARSER_HINT_RE = re.compile(r"\.\[([^\]]*)\](\.[^.]+)$")
# Per-suffix default engine override, consulted before the global ``legacy``
# fallback. ``.textpack`` is handled only by the native engine, so it routes
# there automatically (no filename hint / LIGHTRAG_PARSER rule needed). ``.md``
# is deliberately absent — it keeps the legacy default and opts into native the
# same way ``.docx`` does (hint or rule).
_DEFAULT_ENGINE_BY_SUFFIX: dict[str, str] = {"textpack": PARSER_ENGINE_NATIVE}
class ParserRoutingConfigError(ValueError):
"""Raised when LIGHTRAG_PARSER contains an invalid routing rule."""
class FilenameParserHintError(ValueError):
"""Raised when a filename parser hint is invalid for ingestion."""
def normalize_parser_engine(engine: Any) -> str:
"""Normalize engine hints such as mineru-iet to mineru.
Also strips an engine-level parameter block, so a stored/encoded
``parse_engine`` like ``mineru(page_range=1-3)`` resolves to the bare
engine ``mineru`` (the single chokepoint that keeps parser selection and
engine comparisons working once params are encoded into ``parse_engine``).
"""
text = str(engine or "").strip()
paren = text.find("(")
if paren != -1:
text = text[:paren]
return text.split("-", 1)[0].strip().lower()
def encode_parse_engine(engine: str, engine_params: Mapping[str, Any] | None) -> str:
"""Encode ``(engine, engine_params)`` into the stored ``parse_engine`` field.
Returns the bare ``engine`` when there are no params, else
``engine(key=value,...)`` in hint syntax (list params as repeated keys,
bools as ``true``/``false``). Defensively normalises the params and raises
``ValueError`` on invalid input, so it can never emit a string that
:func:`decode_parse_engine` would later reject.
"""
if not engine_params:
return engine
inner, errors = render_engine_params(engine, engine_params)
if errors:
raise ValueError(
f"cannot encode engine parameters for {engine!r}: " + "; ".join(errors)
)
return f"{engine}({inner})" if inner else engine
def decode_parse_engine(
value: Any,
) -> tuple[str, dict[str, Any], list[str]]:
"""Decode a stored ``parse_engine`` field into ``(engine, params, errors)``.
``value`` may be a bare engine (``mineru``) or an encoded directive
(``mineru(page_range=1-3,language=en)``). ``engine`` is the bare,
normalised engine name; ``params`` is the canonical coerced dict; ``errors``
is non-empty for a malformed/unbalanced block or invalid params (callers on
the parse path raise so the doc fails visibly instead of dropping params).
"""
raw = str(value or "").strip()
if not raw:
return "", {}, []
idx = raw.find("(")
if idx == -1:
return normalize_parser_engine(raw), {}, []
engine = normalize_parser_engine(raw[:idx])
inner, after = take_paren_block(raw, idx)
if inner is None:
return engine, {}, [f"unbalanced '(' in parse_engine {raw!r}"]
if raw[after:].strip():
return engine, {}, [f"unexpected text after ')' in parse_engine {raw!r}"]
params, errors = parse_engine_params(
inner, engine=engine, label=f"parse_engine {raw!r}"
)
return engine, params, errors
# ---------------------------------------------------------------------------
# Per-file processing options (i/t/e/!/F/R/V/P)
# ---------------------------------------------------------------------------
@dataclass(frozen=True)
class ProcessOptions:
"""Decoded view of a ``process_options`` string.
The ``raw`` string is preserved verbatim (with duplicates and ordering)
for storage / audit purposes; boolean flags reflect the deduped logical
state used by the pipeline.
"""
raw: str = ""
images: bool = False
tables: bool = False
equations: bool = False
skip_kg: bool = False
chunking: ProcessChunkingOption = PROCESS_OPTION_CHUNK_FIXED
@property
def chunking_explicit(self) -> bool:
"""True iff ``raw`` actually contains a chunking selector char.
Distinguishes "user explicitly opted into a chunking strategy"
from "no chunking selector supplied — pipeline used the default".
``chunking`` itself is unreliable for this question because it
falls back to :data:`PROCESS_OPTION_CHUNK_FIXED` in both cases.
Used by ``process_single_document`` to decide whether to
dispatch via the new file-chunker contract or to honor the
legacy externally-supplied :attr:`LightRAG.chunking_func`.
"""
return any(c in PROCESS_OPTION_CHUNK_CHARS for c in self.raw)
_PROCESS_OPTION_DEFAULT = ProcessOptions()
def sanitize_process_options(options: Any) -> str:
"""Strip non-supported characters / hyphen / whitespace from an options string.
Returns the raw token sequence as-is (no dedup, no reorder) so the
canonical user intent is preserved on disk. Invalid characters are
silently dropped — the caller is expected to have already validated.
"""
if not options:
return ""
return "".join(ch for ch in str(options) if ch in SUPPORTED_PROCESS_OPTIONS)
def validate_process_options(
options: str, *, label: str = "process options"
) -> list[str]:
"""Return a list of error messages for an options string; empty if valid."""
errors: list[str] = []
if not options:
return errors
seen_chunkers: list[str] = []
for ch in options:
if ch in (" ", "-"):
continue
if ch not in SUPPORTED_PROCESS_OPTIONS:
errors.append(f"{label} contains unsupported character {ch!r}")
continue
if ch in PROCESS_OPTION_CHUNK_CHARS and ch not in seen_chunkers:
seen_chunkers.append(ch)
if len(seen_chunkers) > 1:
errors.append(
f"{label} specifies multiple chunking modes "
f"({'/'.join(seen_chunkers)}); pick one of "
f"{PROCESS_OPTION_CHUNK_FIXED}/{PROCESS_OPTION_CHUNK_RECURSIVE}/{PROCESS_OPTION_CHUNK_VECTOR}/{PROCESS_OPTION_CHUNK_PARAGRAH}"
)
return errors
def parse_process_options(options: Any) -> ProcessOptions:
"""Decode a process-options string into a :class:`ProcessOptions` view."""
raw = sanitize_process_options(options)
if not raw:
return _PROCESS_OPTION_DEFAULT
chars = set(raw)
chunking: ProcessChunkingOption = PROCESS_OPTION_CHUNK_FIXED
# Pick the first chunking selector encountered; validate_process_options
# already filters duplicates upstream.
for ch in raw:
if ch in PROCESS_OPTION_CHUNK_CHARS:
chunking = ch # type: ignore[assignment]
break
return ProcessOptions(
raw=raw,
images=PROCESS_OPTION_IMAGES in chars,
tables=PROCESS_OPTION_TABLES in chars,
equations=PROCESS_OPTION_EQUATIONS in chars,
skip_kg=PROCESS_OPTION_SKIP_KG in chars,
chunking=chunking,
)
# ---------------------------------------------------------------------------
# Per-chunker parameter snapshot (chunk_options) — counterpart to the
# F/R/V/P selector in ``ProcessOptions``. ``process_options`` chooses
# the strategy; ``chunk_options`` carries the parameters the chosen
# strategy reads.
#
# Storage shape: the per-document snapshot persisted to
# ``full_docs[doc_id]['chunk_options']`` carries ONLY the sub-dict of
# the chunking strategy selected by ``process_options`` — the other
# strategies' parameters are dropped because they are never consumed
# during processing. Reparsing a document overwrites both
# ``process_options`` and ``chunk_options`` together.
# ---------------------------------------------------------------------------
# Strategy selector (F/R/V/P) → snapshot sub-dict key. Single source
# of truth for the slim ``chunk_options`` shape — used by
# :func:`resolve_chunk_options` to pick which strategy block to keep
# and by :func:`slim_chunk_options` to project caller-supplied dicts
# down to the selected strategy.
_CHUNK_STRATEGY_KEYS: dict[str, str] = {
PROCESS_OPTION_CHUNK_FIXED: "fixed_token",
PROCESS_OPTION_CHUNK_RECURSIVE: "recursive_character",
PROCESS_OPTION_CHUNK_VECTOR: "semantic_vector",
PROCESS_OPTION_CHUNK_PARAGRAH: "paragraph_semantic",
}
def chunk_strategy_key(process_options: Any) -> str:
"""Return the ``chunk_options`` sub-dict key for ``process_options``.
Accepts a raw options string or a :class:`ProcessOptions` value.
Falls back to ``"fixed_token"`` when no chunking selector is
present — F is the default strategy used both by the file-chunker
dispatcher (when ``chunking_explicit`` is False the legacy
``chunking_func`` runs, which defaults to fixed-token chunking
that reads from the same sub-dict).
"""
if isinstance(process_options, ProcessOptions):
strategy = process_options.chunking
else:
strategy = parse_process_options(process_options).chunking
return _CHUNK_STRATEGY_KEYS.get(strategy, "fixed_token")
def slim_chunk_options(
snapshot: Mapping[str, Any] | None,
process_options: Any = "",
) -> dict[str, Any]:
"""Project a (possibly full) chunker snapshot down to the active strategy.
Keeps the top-level ``chunk_token_size`` and the one strategy
sub-dict picked by :func:`chunk_strategy_key`; everything else is
discarded. Idempotent: a slim snapshot whose key already matches
``process_options`` passes through unchanged (deep-copied for
isolation). When the matching strategy block is absent from the
input, an empty dict is used so downstream consumers always see a
dict-shaped slot.
Strategy-specific default backfill: for ``paragraph_semantic`` we
guarantee a populated ``chunk_token_size`` slot before returning
(caller-supplied value > ``CHUNK_P_SIZE`` env >
``DEFAULT_CHUNK_P_SIZE``). This is the single chokepoint that
every enqueue path runs through — both the
``resolve_chunk_options`` path (built from addon_params) AND the
direct ``chunk_options=`` kwarg path (caller supplies the dict)
flow through here, so the backfill cannot be bypassed by runtime
addon_params mutation or by passing an explicit ``chunk_options``
that omits the P slot. P must NOT inherit the top-level
``chunk_token_size`` (global ``CHUNK_SIZE`` / legacy ctor) —
paragraph-semantic merging needs more headroom than the global
default.
"""
key = chunk_strategy_key(process_options)
src: Mapping[str, Any] = snapshot or {}
result: dict[str, Any] = {}
if "chunk_token_size" in src:
result["chunk_token_size"] = deepcopy(src["chunk_token_size"])
result[key] = deepcopy(dict(src.get(key) or {}))
if key == "paragraph_semantic":
if "chunk_token_size" not in result[key]:
p_size_raw = os.getenv("CHUNK_P_SIZE")
result[key]["chunk_token_size"] = (
int(p_size_raw) if p_size_raw is not None else DEFAULT_CHUNK_P_SIZE
)
# Mirror the CHUNK_P_DROP_REFERENCES env default for the drop-references
# switch here — this is the single chokepoint every enqueue path runs
# through, so a runtime ``addon_params`` mutation or an explicit
# ``chunk_options=`` that omits the slot still picks up the env default.
# ``setdefault`` keeps any caller-supplied value (hint/addon/kwarg). The
# detection-tuning knobs (tail window / heading prefixes) are NOT
# snapshotted — the chunker reads them live from env at run time.
if os.getenv("CHUNK_P_DROP_REFERENCES") is not None:
result[key].setdefault(
"drop_references", _env_bool("CHUNK_P_DROP_REFERENCES")
)
return result
def _env_optional_str(key: str) -> str | None:
"""Return the env value as a string, collapsing empty / 'None' to None."""
raw = os.getenv(key)
if raw is None:
return None
stripped = raw.strip()
if not stripped or stripped.lower() == "none":
return None
return raw
def _env_bool(key: str, default: bool = False) -> bool:
raw = os.getenv(key)
if raw is None:
return default
return raw.strip().lower() in ("1", "true", "yes", "on", "t", "y")
def default_chunker_config() -> dict[str, Any]:
"""Snapshot the **strategy-specific** env-driven defaults for every shipped chunker.
Builds a per-strategy sub-dict whose keys mirror each strategy's
keyword-only signature (so :func:`resolve_chunk_options` can splat
them straight into the chunker call).
Provenance / precedence note: this function reads only
*strategy-specific* env vars (``CHUNK_F_SIZE``,
``CHUNK_F_OVERLAP_SIZE``, ``CHUNK_R_SIZE``, ``CHUNK_R_OVERLAP_SIZE``,
``CHUNK_R_SEPARATORS``, ``CHUNK_V_SIZE``, ``CHUNK_V_*``,
``CHUNK_P_SIZE``, ``CHUNK_P_OVERLAP_SIZE``,
``CHUNK_F_SPLIT_BY_CHARACTER``…). It does **not** read the legacy
top-level envs ``CHUNK_SIZE`` / ``CHUNK_OVERLAP_SIZE``, and it
deliberately **omits** ``chunk_overlap_token_size`` from a strategy
sub-dict when its own env var is unset — leaving the slot empty is
the signal that lets
:meth:`LightRAG._apply_chunk_size_overlay` apply the legacy
constructor field (``LightRAG(chunk_overlap_token_size=…)``) and
finally the legacy ``CHUNK_OVERLAP_SIZE`` env in that order. Same
rationale for top-level ``chunk_token_size`` — overlay fills it from
``LightRAG(chunk_token_size=…)`` then ``CHUNK_SIZE`` env. Net
precedence (high → low): ``addon_params`` explicit > strategy env
> legacy ctor field > legacy env.
Read at instance-creation time via
:func:`lightrag.addon_params.default_addon_params`; users can mutate
``addon_params['chunker']`` at runtime to change the defaults applied
to subsequently enqueued documents (already-enqueued docs hold a
frozen ``full_docs[doc_id]['chunk_options']`` snapshot).
"""
config: dict[str, Any] = {
"fixed_token": {
"split_by_character": _env_optional_str("CHUNK_F_SPLIT_BY_CHARACTER"),
"split_by_character_only": _env_bool(
"CHUNK_F_SPLIT_BY_CHARACTER_ONLY", False
),
},
"recursive_character": {
# Default separators include CJK sentence-ending punctuation
# so Chinese / mixed-language documents split at semantic
# boundaries instead of falling through to character-level
# splitting. See ``constants.DEFAULT_R_SEPARATORS`` for
# cascade order rationale.
"separators": json.loads(
os.getenv("CHUNK_R_SEPARATORS", json.dumps(list(DEFAULT_R_SEPARATORS)))
),
},
"semantic_vector": {
"breakpoint_threshold_type": os.getenv(
"CHUNK_V_BREAKPOINT_THRESHOLD_TYPE", "percentile"
),
"breakpoint_threshold_amount": parse_optional_float(
os.getenv("CHUNK_V_BREAKPOINT_THRESHOLD_AMOUNT")
),
"buffer_size": int(os.getenv("CHUNK_V_BUFFER_SIZE", "1")),
# Default extends LangChain's English-only sentence splitter
# with CJK terminators so SemanticChunker can actually find
# sentence boundaries on Chinese input. Override per
# deployment if you need a different language mix.
"sentence_split_regex": os.getenv(
"CHUNK_V_SENTENCE_SPLIT_REGEX", DEFAULT_SENTENCE_SPLIT_REGEX
),
},
"paragraph_semantic": {},
}
# Strategy-specific overlap envs only — leave the slot absent when
# unset so overlay can detect provenance and fill from the legacy
# tier (constructor field → CHUNK_OVERLAP_SIZE env).
f_overlap_raw = os.getenv("CHUNK_F_OVERLAP_SIZE")
if f_overlap_raw is not None:
config["fixed_token"]["chunk_overlap_token_size"] = int(f_overlap_raw)
r_overlap_raw = os.getenv("CHUNK_R_OVERLAP_SIZE")
if r_overlap_raw is not None:
config["recursive_character"]["chunk_overlap_token_size"] = int(r_overlap_raw)
p_overlap_raw = os.getenv("CHUNK_P_OVERLAP_SIZE")
if p_overlap_raw is not None:
config["paragraph_semantic"]["chunk_overlap_token_size"] = int(p_overlap_raw)
# P strategy carries its own ``chunk_token_size`` override so the
# paragraph-semantic merge target can diverge from the global
# ``CHUNK_SIZE`` (e.g. heading-aligned chunks may want a larger
# ceiling). Unlike R/V, the slot is ALWAYS populated — when
# ``CHUNK_P_SIZE`` is unset we use ``DEFAULT_CHUNK_P_SIZE`` (2000)
# rather than letting the dispatcher fall back to the global
# ``CHUNK_SIZE`` (1200): paragraph-semantic merging needs more
# headroom than the global default to keep related paragraphs
# together, and silently inheriting the smaller global ceiling
# defeats the strategy's purpose.
p_size_raw = os.getenv("CHUNK_P_SIZE")
config["paragraph_semantic"]["chunk_token_size"] = (
int(p_size_raw) if p_size_raw is not None else DEFAULT_CHUNK_P_SIZE
)
# F/R/V strategies likewise carry their own optional ``chunk_token_size``
# overrides (fixed-token may want a deployment-specific window, recursive
# character splitting a smaller target, semantic-vector clustering a larger
# advisory ceiling). Same slot-absent convention as P: leave the slot
# absent when the env is unset so the strategy inherits the top-level
# ``chunk_token_size`` fallback at consumption time.
f_size_raw = os.getenv("CHUNK_F_SIZE")
if f_size_raw is not None:
config["fixed_token"]["chunk_token_size"] = int(f_size_raw)
r_size_raw = os.getenv("CHUNK_R_SIZE")
if r_size_raw is not None:
config["recursive_character"]["chunk_token_size"] = int(r_size_raw)
v_size_raw = os.getenv("CHUNK_V_SIZE")
if v_size_raw is not None:
config["semantic_vector"]["chunk_token_size"] = int(v_size_raw)
return config
def resolve_chunk_options(
addon_params: Mapping[str, Any] | None,
*,
process_options: Any = "",
split_by_character: str | None = None,
split_by_character_only: bool = False,
) -> dict[str, Any]:
"""Build a per-document slim ``chunk_options`` snapshot.
Reads the chunker config from ``addon_params['chunker']``, falling
back to a freshly built :func:`default_chunker_config` when the
addon-params mapping is missing or hasn't been populated, then
keeps only the parameters of the strategy selected by
``process_options`` (the other strategies' sub-dicts are dropped —
they would never be consumed during processing). See
:func:`slim_chunk_options` for the projection rules and
:func:`chunk_strategy_key` for the strategy → sub-dict mapping
(default F → ``fixed_token``).
The F runtime args from ``LightRAG.ainsert`` overlay the
``fixed_token`` sub-dict when (and only when) the active strategy
is F — for R/V/P these args have no slot to land in and are
silently dropped:
- ``split_by_character`` overrides the env when **non-None**.
``None`` (signature default) means "use the env / addon_params
default".
- ``split_by_character_only`` overrides the env when **True**.
``False`` (signature default) means "use the env / addon_params
default" — there's no clean way to distinguish "unset" from
"explicit False" with a positional default, so the env wins
unless the caller actively opts in.
The returned snapshot is an independent deep copy: mutating it has
no effect on subsequent resolutions.
"""
src: Mapping[str, Any] | None = None
if isinstance(addon_params, Mapping):
candidate = addon_params.get("chunker")
if isinstance(candidate, Mapping):
src = candidate
if src is None:
src = default_chunker_config()
snapshot = slim_chunk_options(src, process_options)
if chunk_strategy_key(process_options) == "fixed_token":
fixed = snapshot["fixed_token"]
if split_by_character is not None:
fixed["split_by_character"] = split_by_character
if split_by_character_only:
fixed["split_by_character_only"] = True
# P-strategy ``chunk_token_size`` backfill lives in
# ``slim_chunk_options`` — that's the single chokepoint shared by
# every enqueue path (this function AND the direct
# ``chunk_options=`` kwarg path in ``_chunk_options_at``).
return snapshot
def _extract_param_blocks(
inner: str,
) -> tuple[str, str | None, dict[str, str], list[str]]:
"""Strip ``(...)`` parameter blocks from a hint / rule inner string.
Returns ``(stripped, engine_param_text, chunk_param_texts, errors)``:
* ``stripped`` is ``inner`` with every parameter block removed, so the
existing engine / selector parsing (:func:`split_engine_and_options`,
:func:`_rule_engine_and_options`, :func:`validate_process_options`) runs
on a parameter-free string and legacy behaviour is preserved verbatim.
* ``engine_param_text`` is the text inside an engine-level ``(...)`` block
(before the engine/options ``-``) when present, else ``None``. Engine
parameters are not accepted in Phase 1; callers reject them.
* ``chunk_param_texts`` maps each chunk selector char (F/R/V/P) to the raw
text of the block that immediately follows it.
* ``errors`` collects structural problems (unbalanced parens, a block not
following a chunk strategy, duplicate blocks on one char).
A parameter-free ``inner`` returns ``(inner, None, {}, [])`` unchanged.
"""
out: list[str] = []
engine_param: str | None = None
chunk_params: dict[str, str] = {}
errors: list[str] = []
i = 0
n = len(inner)
seen_dash = False
prev_meaningful: str | None = None
while i < n:
ch = inner[i]
if ch == "(":
block, nxt = take_paren_block(inner, i)
if block is None:
errors.append(f"unbalanced '(' in {inner!r}")
out.append(inner[i:])
break
if seen_dash and prev_meaningful in PROCESS_OPTION_CHUNK_CHARS:
if prev_meaningful in chunk_params:
errors.append(
f"chunk strategy {prev_meaningful!r} has more than one "
"parameter block"
)
else:
chunk_params[prev_meaningful] = block
elif not seen_dash and prev_meaningful is not None:
# Engine-level block, e.g. ``mineru(page_range=1-3)``.
if engine_param is not None:
errors.append("parser engine has more than one parameter block")
else:
engine_param = block
else:
errors.append(
f"parameters '({block})' must follow a chunk strategy (F/R/V/P)"
)
i = nxt
prev_meaningful = None
continue
out.append(ch)
if ch == "-":
seen_dash = True
if ch != " ":
prev_meaningful = ch
i += 1
return "".join(out), engine_param, chunk_params, errors
def _parse_chunk_param_texts(
chunk_param_texts: dict[str, str], *, label: str
) -> tuple[dict[str, dict[str, Any]], list[str]]:
"""Parse raw chunk-param block texts into canonical per-selector dicts.
Returns ``(chunk_params, errors)``; ``chunk_params`` only contains the
selectors whose block parsed to a non-empty dict.
"""
chunk_params: dict[str, dict[str, Any]] = {}
errors: list[str] = []
for selector, text in chunk_param_texts.items():
parsed, perrors = parse_chunk_params(
text, selector=selector, label=f"{label} chunk strategy {selector!r}"
)
errors.extend(perrors)
if parsed:
chunk_params[selector] = parsed
return chunk_params, errors
def split_engine_and_options(bracket_inner: str) -> tuple[str | None, str]:
"""Decompose a bracket-hint inner string into ``(engine, options)``.
Format rules (see docs/FileProcessingPipeline-zh.md):
- ``ENGINE-OPTIONS``: first ``-``-separated segment is the engine
candidate; the remainder is the options string.
- ``ENGINE``: matches a supported engine name as a whole.
- ``-OPTIONS``: leading ``-`` marks an options-only hint.
"""
inner = (bracket_inner or "").strip()
if not inner:
return None, ""
if inner.startswith("-"):
return None, inner[1:].strip()
if "-" in inner:
head, _, tail = inner.partition("-")
engine_candidate = normalize_parser_engine(head)
if engine_candidate in supported_parser_engines():
return engine_candidate, tail.strip()
return None, ""
engine_candidate = normalize_parser_engine(inner)
if engine_candidate in supported_parser_engines():
return engine_candidate, ""
return None, ""
def parser_suffix(file_path: str | Path) -> str:
return Path(file_path).suffix.lower().lstrip(".")
def parser_engine_supports_suffix(engine: str, suffix: str) -> bool:
return suffix.lower().lstrip(".") in suffix_capabilities(engine)
def parser_engine_endpoint_configured(engine: str) -> bool:
# Endpoint capability lives on the registry ParserSpec (single source).
return engine_endpoint_configured(engine)
def parser_engine_endpoint_requirement(engine: str) -> str | None:
return engine_endpoint_requirement(engine)
def _engine_is_usable(
engine: str,
suffix: str,
*,
require_external_endpoint: bool,
) -> bool:
if engine not in supported_parser_engines():
return False
if not parser_engine_supports_suffix(engine, suffix):
return False
if require_external_endpoint and not parser_engine_endpoint_configured(engine):
return False
return True
def _filename_hint_match(
file_path: str | Path,
) -> tuple[re.Match[str], str, str, dict[str, dict[str, Any]], dict[str, Any]] | None:
"""Locate a supported ``[hint]`` segment in a basename.
Returns ``(match, engine_or_empty, options, chunk_params, engine_params)``
when the bracket inner is a recognised hint per the spec; otherwise
``None``. ``chunk_params`` maps a chunk selector char to its canonical
parameter dict; ``engine_params`` is the engine-token block's canonical
parameters (empty when the hint carries none). This low-level helper stays
non-throwing because scan grouping and basename canonicalization need a
best-effort classifier. Ingestion entrypoints must call
:func:`resolve_parser_directives`, which validates malformed hints and
raises instead of falling back.
"""
basename = Path(file_path).name
m = _PARSER_HINT_RE.search(basename)
if not m:
return None
raw_inner = m.group(1).strip()
if raw_inner.startswith("-") and not raw_inner[1:].strip():
return None
inner, engine_param, chunk_param_texts, struct_errors = _extract_param_blocks(
raw_inner
)
label = f"filename hint {m.group(0)!r}"
if struct_errors:
logger.warning(
f"[parser_routing] ignoring {label} in {basename!r}: "
f"{'; '.join(struct_errors)}"
)
return None
inner = inner.strip()
if (
"-" in inner
and not inner.startswith("-")
and not inner.partition("-")[2].strip()
):
return None
engine, options = split_engine_and_options(inner)
if options:
option_errors = validate_process_options(options)
if option_errors:
logger.warning(
f"[parser_routing] ignoring {label} in {basename!r}: "
f"{'; '.join(option_errors)}"
)
return None
chunk_params, param_errors = _parse_chunk_param_texts(
chunk_param_texts, label=label
)
engine_params: dict[str, Any] = {}
if engine_param is not None:
engine_params, eparam_errors = parse_engine_params(
engine_param, engine=engine or "", label=label
)
param_errors = [*param_errors, *eparam_errors]
if param_errors:
logger.warning(
f"[parser_routing] ignoring {label} in {basename!r}: "
f"{'; '.join(param_errors)}"
)
return None
if engine in supported_parser_engines():
return m, engine, options, chunk_params, engine_params
if engine is None and (options or chunk_params):
return m, "", options, chunk_params, engine_params
return None
def _validate_filename_hint_for_resolution(
file_path: str | Path,
*,
require_external_endpoint: bool,
) -> None:
"""Fail fast for malformed filename hints on ingestion entrypoints."""
basename = Path(file_path).name
m = _PARSER_HINT_RE.search(basename)
if not m:
return
inner = m.group(1)
errors: list[str] = []
if not inner.strip():
errors.append(f"filename hint {m.group(0)!r} is empty")
raise FilenameParserHintError(
f"Invalid filename parser hint in {basename!r}: " + "; ".join(errors)
)
# Strip and validate parameter blocks first; the engine / selector
# branches below then run on a parameter-free string exactly as before.
hint_label = f"filename hint {m.group(0)!r}"
inner, engine_param, chunk_param_texts, struct_errors = _extract_param_blocks(inner)
errors.extend(f"{hint_label}: {msg}" for msg in struct_errors)
_, param_errors = _parse_chunk_param_texts(chunk_param_texts, label=hint_label)
errors.extend(param_errors)
# Engine-param validation is deferred until ``engine`` is resolved below.
engine: str | None = None
options = ""
if inner.startswith("-"):
options = inner[1:].strip()
if not options:
errors.append(f"filename hint {m.group(0)!r} has empty process options")
else:
errors.extend(
validate_process_options(
options,
label=f"filename hint {m.group(0)!r} options",
)
)
elif "-" in inner:
engine_name, _, options = inner.partition("-")
engine = normalize_parser_engine(engine_name)
if engine not in supported_parser_engines():
supported = ", ".join(sorted(supported_parser_engines()))
errors.append(
f"filename hint {m.group(0)!r} uses unsupported parser engine "
f"{engine_name.strip()!r}; supported engines: {supported}"
)
elif not options.strip():
errors.append(f"filename hint {m.group(0)!r} has empty process options")
else:
errors.extend(
validate_process_options(
options,
label=f"filename hint {m.group(0)!r} options",
)
)
else:
engine = normalize_parser_engine(inner)
if engine not in supported_parser_engines():
supported = ", ".join(sorted(supported_parser_engines()))
message = (
f"filename hint {m.group(0)!r} uses unsupported parser engine "
f"{inner.strip()!r}; supported engines: {supported}"
)
if all(ch in SUPPORTED_PROCESS_OPTIONS or ch == " " for ch in inner):
message += (
"; options-only filename hints must start with '-' "
f"(use '[-{inner.strip()}]' instead)"
)
errors.append(message)
if engine_param is not None:
_, e_perrors = parse_engine_params(
engine_param, engine=engine or "", label=hint_label
)
errors.extend(e_perrors)
if engine in supported_parser_engines():
suffix = parser_suffix(file_path)
if not parser_engine_supports_suffix(engine, suffix):
supported_suffixes = ", ".join(sorted(suffix_capabilities(engine)))
errors.append(
f"filename hint {m.group(0)!r} uses parser engine {engine!r} "
f"for unsupported suffix {suffix!r}; supported suffixes: "
f"{supported_suffixes}"
)
endpoint_req = parser_engine_endpoint_requirement(engine)
if (
require_external_endpoint
and endpoint_req
and not parser_engine_endpoint_configured(engine)
):
errors.append(
f"filename hint {m.group(0)!r} requires {endpoint_req} to be configured"
)
if errors:
raise FilenameParserHintError(
f"Invalid filename parser hint in {basename!r}: " + "; ".join(errors)
)
def filename_parser_hint(file_path: str | Path) -> str | None:
"""Return the engine inferred from a filename hint, or ``None``."""
found = _filename_hint_match(file_path)
if not found:
return None
return found[1] or None
def filename_process_options(file_path: str | Path) -> str:
"""Return the raw process-options string from a filename hint."""
found = _filename_hint_match(file_path)
if not found:
return ""
return found[2]
def filename_parser_directives(file_path: str | Path) -> tuple[str | None, str]:
"""Return ``(engine, options)`` decoded from a filename hint."""
found = _filename_hint_match(file_path)
if not found:
return None, ""
return (found[1] or None), found[2]
def filename_chunk_params(file_path: str | Path) -> dict[str, dict[str, Any]]:
"""Return the per-selector chunk parameters decoded from a filename hint.
Maps a chunk selector char (F/R/V/P) to its canonical parameter dict;
empty when the hint carries no parameters or is not a usable hint.
"""
found = _filename_hint_match(file_path)
if not found:
return {}
return found[3]
def filename_engine_params(file_path: str | Path) -> dict[str, Any]:
"""Return the canonical engine parameters decoded from a filename hint.
These belong to the hint's engine token (e.g. ``mineru(page_range=1-3)``);
empty when the hint carries no engine parameters or is not a usable hint.
"""
found = _filename_hint_match(file_path)
if not found:
return {}
return found[4]
def canonicalize_parser_hinted_basename(file_path: str | Path) -> str:
"""Return basename with a supported parser hint removed.
Only the final ``.[engine].ext`` (or ``.[engine-options].ext`` /
``.[-options].ext``) segment is stripped, exactly once, and only when the
bracket content is a recognised hint. Nested hints such as
``name.[native].[mineru].pdf`` therefore become ``name.[native].pdf`` —
additional outer hints are not unwrapped.
"""
basename = Path(file_path).name
found = _filename_hint_match(file_path)
if not found:
return basename
m = found[0]
return f"{basename[: m.start()]}{m.group(2)}"
def parser_rules_from_env() -> str:
return os.getenv("LIGHTRAG_PARSER", "").strip()
def _iter_parser_rule_items(rules: str) -> list[tuple[int, str]]:
# Parenthesis-aware split: ';' (preferred) or ',' (legacy) separate rules
# at paren depth 0, so commas inside a chunk-parameter block such as
# ``R(chunk_ts=800,chunk_ol=80)`` never split the surrounding rule.
return [
(index, item.strip())
for index, item in enumerate(split_top_level(rules, ";,"), start=1)
if item.strip()
]
def _rule_pattern_matches_engine_capability(pattern: str, engine: str) -> bool:
supported_suffixes = suffix_capabilities(engine)
return any(fnmatch.fnmatch(suffix, pattern) for suffix in supported_suffixes)
def _rule_engine_and_options(engine_hint: str) -> tuple[str, str]:
"""Split a ``LIGHTRAG_PARSER`` rule's RHS (``engine[-options]``).
Returns ``(normalized_engine, options_str)``. Unlike the filename hint
splitter this always treats the first ``-`` as the engine/options
boundary, since ``LIGHTRAG_PARSER`` rules cannot be options-only.
"""
head, _, tail = engine_hint.partition("-")
return normalize_parser_engine(head), tail.strip()
def validate_parser_routing_config(parser_rules: str | None = None) -> None:
"""Validate LIGHTRAG_PARSER syntax and required external parser endpoints."""
rules = parser_rules_from_env() if parser_rules is None else parser_rules.strip()
if not rules:
return
errors: list[str] = []
for index, item in _iter_parser_rule_items(rules):
label = f"rule {index} ({item!r})"
if ":" not in item:
errors.append(f"{label} must use '<suffix-pattern>:<engine>'")
continue
pattern, engine_hint = item.split(":", 1)
pattern = pattern.strip().lower()
engine_hint = engine_hint.strip()
stripped_hint, engine_param, chunk_param_texts, struct_errors = (
_extract_param_blocks(engine_hint)
)
engine, options_str = _rule_engine_and_options(stripped_hint)
if not pattern:
errors.append(f"{label} has an empty suffix pattern")
continue
if "." in pattern:
errors.append(
f"{label} matches suffixes without dots; use 'pdf', not '*.pdf'"
)
continue
if not engine_hint:
errors.append(f"{label} has an empty parser engine")
continue
if engine not in supported_parser_engines():
supported = ", ".join(sorted(supported_parser_engines()))
errors.append(
f"{label} uses unsupported parser engine {engine_hint!r}; "
f"supported engines: {supported}"
)
continue
if not _rule_pattern_matches_engine_capability(pattern, engine):
supported_suffixes = ", ".join(sorted(suffix_capabilities(engine)))
errors.append(
f"{label} does not match any suffix supported by {engine}; "
f"supported suffixes: {supported_suffixes}"
)
endpoint_req = parser_engine_endpoint_requirement(engine)
if endpoint_req and not parser_engine_endpoint_configured(engine):
errors.append(f"{label} requires {endpoint_req} to be configured")
errors.extend(f"{label}: {msg}" for msg in struct_errors)
if engine_param is not None:
_, e_perrors = parse_engine_params(engine_param, engine=engine, label=label)
errors.extend(e_perrors)
if options_str:
errors.extend(
f"{label}: {msg}"
for msg in validate_process_options(
options_str, label="process options"
)
)
_, param_errors = _parse_chunk_param_texts(chunk_param_texts, label=label)
errors.extend(param_errors)
if errors:
raise ParserRoutingConfigError(
"Invalid LIGHTRAG_PARSER configuration: " + "; ".join(errors)
)
def _matching_rule_directives(
file_path: str | Path,
*,
parser_rules: str | None,
require_external_endpoint: bool,
) -> tuple[str | None, str, dict[str, dict[str, Any]], dict[str, Any]]:
"""Find the first matching ``LIGHTRAG_PARSER`` rule for ``file_path``.
Returns ``(engine, options_str, chunk_params, engine_params)`` where
``engine`` is ``None`` when no usable rule is found. ``options_str`` is
empty when a rule matched but has no ``-options`` suffix; ``chunk_params``
maps a chunk selector char to its canonical parameter dict; ``engine_params``
is the matched rule's engine-token parameters. Rule syntax is validated at
startup (:func:`validate_parser_routing_config`), so a malformed parameter
block here is skipped best-effort rather than raised.
"""
suffix = parser_suffix(file_path)
rules = parser_rules_from_env() if parser_rules is None else parser_rules.strip()
if not rules:
return None, "", {}, {}
for _, item in _iter_parser_rule_items(rules):
if ":" not in item:
continue
pattern, engine_hint = item.split(":", 1)
pattern = pattern.strip().lower()
stripped_hint, engine_param, chunk_param_texts, _errs = _extract_param_blocks(
engine_hint.strip()
)
engine, options_str = _rule_engine_and_options(stripped_hint)
if not fnmatch.fnmatch(suffix, pattern):
continue
if _engine_is_usable(
engine,
suffix,
require_external_endpoint=require_external_endpoint,
):
chunk_params, _param_errors = _parse_chunk_param_texts(
chunk_param_texts, label=f"rule {item!r}"
)
engine_params: dict[str, Any] = {}
if engine_param is not None:
engine_params, _e_perrors = parse_engine_params(
engine_param, engine=engine, label=f"rule {item!r}"
)
return engine, options_str, chunk_params, engine_params
return None, "", {}, {}
@dataclass(frozen=True)
class ParserDirectives:
"""Fully resolved per-file parser directives.
``process_options`` stays a pure selector string (``i/t/e/!/F/R/V/P``);
parameters live in separate fields. ``chunk_params`` maps a chunk
selector char to its canonical parameter dict and feeds the existing
``chunk_options`` channel. ``engine_params`` is the flat, canonical
parameter dict for the resolved engine (e.g. MinerU ``page_range`` /
``language`` / ``local_parse_method``, Docling ``force_ocr``); it is
encoded into the persisted ``parse_engine`` field and consumed by the
external parser at parse time.
"""
engine: str
process_options: str
chunk_params: dict[str, dict[str, Any]]
engine_params: dict[str, Any]
def resolve_parser_directives(
file_path: str | Path,
*,
parser_rules: str | None = None,
require_external_endpoint: bool = True,
) -> ParserDirectives:
"""Resolve engine, process options and per-file parameters for a file.
Resolution order (mirrors :func:`resolve_file_parser_engine`):
1. Filename ``[hint]`` — engine and / or options take precedence.
2. ``LIGHTRAG_PARSER`` rules — first matching rule provides defaults
for whichever of engine / options the filename hint did not
specify.
3. Default engine ``legacy`` with empty options.
Selector (``i/t/e/!/FRVP``) keeps the legacy "filename options wholesale
override rule options" behaviour. Chunk parameters overlay per selector
char: rule parameters first, then filename-hint parameters (filename wins
on a shared key).
"""
suffix = parser_suffix(file_path)
_validate_filename_hint_for_resolution(
file_path,
require_external_endpoint=require_external_endpoint,
)
hinted_engine, hinted_options = filename_parser_directives(file_path)
hinted_chunk_params = filename_chunk_params(file_path)
hinted_engine_params = filename_engine_params(file_path)
# The engine a filename hint's params belong to (captured before the
# usability null-out below); engine params are dropped if this engine does
# not win resolution. Note: under strict validation the null-out is
# effectively unreachable (the validator raises first), so this normally
# equals the resolved engine when a hint engine is present.
hinted_engine_for_params = hinted_engine
if hinted_engine and not _engine_is_usable(
hinted_engine, suffix, require_external_endpoint=require_external_endpoint
):
# Hinted engine cannot handle this file (e.g. wrong suffix or missing
# endpoint); fall back to rule-based resolution but keep the hinted
# options if any.
hinted_engine = None
rule_engine, rule_options, rule_chunk_params, rule_engine_params = (
_matching_rule_directives(
file_path,
parser_rules=parser_rules,
require_external_endpoint=require_external_endpoint,
)
)
default_engine = _DEFAULT_ENGINE_BY_SUFFIX.get(suffix)
if default_engine and not _engine_is_usable(
default_engine, suffix, require_external_endpoint=require_external_endpoint
):
default_engine = None
engine = hinted_engine or rule_engine or default_engine or PARSER_ENGINE_LEGACY
options_str = hinted_options or rule_options
# Overlay chunk params per selector char: rule first, filename-hint wins.
chunk_params: dict[str, dict[str, Any]] = {}
for selector in set(rule_chunk_params) | set(hinted_chunk_params):
merged = {
**rule_chunk_params.get(selector, {}),
**hinted_chunk_params.get(selector, {}),
}
if merged:
chunk_params[selector] = merged
# Engine params are flat (one resolved engine per file). Keep only the
# params whose attached engine == the resolved engine: rule params first,
# then filename-hint params (filename wins on a shared key). Params attached
# to an engine that lost resolution are dropped.
engine_params: dict[str, Any] = {}
if rule_engine == engine:
engine_params.update(rule_engine_params)
if hinted_engine_for_params == engine:
engine_params.update(hinted_engine_params)
return ParserDirectives(
engine=engine,
process_options=sanitize_process_options(options_str),
chunk_params=chunk_params,
engine_params=engine_params,
)
def resolve_file_parser_engine(
file_path: str | Path,
*,
parser_rules: str | None = None,
require_external_endpoint: bool = True,
) -> str:
"""Resolve the extraction engine for a source file before content extraction."""
engine, _ = resolve_file_parser_directives(
file_path,
parser_rules=parser_rules,
require_external_endpoint=require_external_endpoint,
)
return engine
def resolve_file_parser_directives(
file_path: str | Path,
*,
parser_rules: str | None = None,
require_external_endpoint: bool = True,
) -> tuple[str, str]:
"""Resolve ``(engine, process_options)`` for a source file before extraction.
Backward-compatible thin wrapper over :func:`resolve_parser_directives`;
callers that also need the per-file chunk / engine parameters should use
:func:`resolve_parser_directives` directly.
"""
directives = resolve_parser_directives(
file_path,
parser_rules=parser_rules,
require_external_endpoint=require_external_endpoint,
)
return directives.engine, directives.process_options
def resolve_stored_document_parser_engine(
file_path: str | Path,
content_data: dict[str, Any] | None,
) -> str:
"""Resolve the parser engine key for a full_docs row during processing.
Returns a registry key: the internal ``reuse``/``passthrough`` handlers for
the no-op formats, or a real engine name for ``pending_parse``. Never
raises and never filters an unknown stored engine — the parse worker
decides fallback/validation (so its warning path actually fires).
"""
if content_data:
doc_format = content_data.get("parse_format", FULL_DOCS_FORMAT_RAW)
# All lightrag rows reuse the already-parsed sidecar (sidecar optional;
# ReuseParser tolerates a missing one). Reached on resume/retry.
if doc_format == FULL_DOCS_FORMAT_LIGHTRAG:
return PARSER_ENGINE_REUSE
# Anything not pending is already-extracted content (raw direct-insert
# or legacy-extracted RAW) -> pass through verbatim.
if doc_format != FULL_DOCS_FORMAT_PENDING_PARSE:
return PARSER_ENGINE_PASSTHROUGH
# PENDING_PARSE: honour the stored engine verbatim; fall back to
# filename rules only when it is absent.
pending_engine = normalize_parser_engine(content_data.get("parse_engine"))
if pending_engine:
return pending_engine
return resolve_file_parser_engine(file_path)