fix(server): split GLiNER2 documents in linear time - #371
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gliner2's word-splitting regex tries its e-mail alternative at every word, and that alternative scans the whole run of e-mail characters ahead before failing, so a run such as "...." or "a.a.a." costs time quadratic in its length. gliner2 splits the whole document before keeping its first max_len words: 64 KiB of "." took 17 seconds per request in the gliner2-base/large and GLiGuard adapters, and a 2 MiB item would take hours, on the thread that serves every request. Swap the processor's splitter for a linear-time equivalent that tries the same alternatives in the same order but scans each run of e-mail characters once. It yields exactly the package's words, checked against the installed gliner2 and verbatim copies of its 1.x and 2.x splitters on a corpus and fuzzed texts; the adapter refuses to load a gliner2 whose splitter it has no equivalent for. gliner2 still walks every word of a text in Python, so hand it only the prefix ending where the last of the max_len words it reads ends: it then reads the same words at the same offsets. gliner2 1.x splits the lowercased text and indexes the original with those offsets, so the cut is at the lowercased offset, and a prefix whose lowercase does not start the lowercased text (a final sigma at the cut) is not used. Metering tokenized whole texts, about a second for 2 MiB; tokenize growing prefixes cut before a space instead and stop once one fills the window (a prefix without a space must fill it with 64 tokens to spare), so counts are unchanged. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Included review availability: Your plan provides up to 10 included reviews per hour; 2 remain after this review. 📝 WalkthroughWalkthroughThe GLiNER2 adapter installs a verified linear-time equivalent of the model’s word splitter. It prepares model inputs up to the configured word limit and meters short and long documents through separate token-counting paths. ChangesGLiNER2 input handling
Sequence Diagram(s)sequenceDiagram
participant GLiNER2Adapter
participant linear_equivalent
participant GLiNER2Processor
participant LinearWordSplitter
participant GLiNER2Model
GLiNER2Adapter->>linear_equivalent: verify loaded word splitter
linear_equivalent-->>GLiNER2Adapter: return compatible splitter
GLiNER2Adapter->>GLiNER2Processor: install LinearWordSplitter
GLiNER2Adapter->>LinearWordSplitter: find words up to max_seq_length
LinearWordSplitter-->>GLiNER2Adapter: return word spans
GLiNER2Adapter->>GLiNER2Model: submit prepared text
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In `@packages/sie_server/src/sie_server/adapters/gliner2/adapter.py`:
- Line 684: Update the truncation logic that assigns `prefix` so it retains the
whitespace separator after the final retained word when the cutoff follows a
URL, preserving the model input without an added period; add a processor-input
regression case for `http://example.com rest` with a one-word limit.
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packages/sie_server/src/sie_server/adapters/gliner2/adapter.pypackages/sie_server/src/sie_server/adapters/gliner2/words.pypackages/sie_server/tests/adapters/test_gliner2.pypackages/sie_server/tests/adapters/test_gliner2_long_text.pypackages/sie_server/tests/adapters/test_gliner2_words.py
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gliner2 ends a text without a sentence end with ".", and a URL word runs to the next whitespace, so a prefix ending right after a URL gave the URL that period. Keep the whitespace after the last word in the prefix, so gliner2 reads the same words as from the whole text. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Summary
The GLiNER2 adapter (
fastino/gliner2-base-v1,gliner2-large-v1, and GLiGuard through the classification adapter) could spend hours on one extract item. This change makes the same requests take milliseconds, with outputs unchanged.The problem
gliner2 splits a document into words with one regex: URL | e-mail | mention | word | any other character. The e-mail alternative (
[a-z0-9._%+-]+@…) is tried at every word. Before failing on the missing@, it scans the whole run of e-mail characters ahead of the word. So a run such as"...."or"a.a.a."costs time quadratic in its length.gliner2 1.x also splits the whole document before keeping its first
max_lenwords. It runs on the model's single inference thread, so every request on that worker waits.Before (gliner2 1.3.2, the package's own preprocessing as
extract_entities/classify_textrun it; no encoder)".""."".","a.", or prose followed by dots"."(the item size limit)The fix
words.py: a linear-time equivalent of gliner2's splitter.@is matched once.max_lenwords it reads ends. No word crosses that point, so gliner2 reads the same words at the same offsets.., which a URL word would otherwise absorb.After
The same path through
GLiNER2Adapter.extract: real gliner2 1.3.2 processor, real gliner2-base-v1 tokenizer, encoder stubbed, metering included."."".""a.""%"then"@x""İstanbul "+ 2 MiB of"."(the lowercase-length fallback)Billed tokens are unchanged (512 for each).
Output parity
GPU (L4), fixed inputs: this branch's adapter vs
main's adapter, compared as wholeExtractOutputs (entities with offsets, classifications, relations, structured data, errors,input_token_counts).İ, e-mails and URLs, 3,000 dots, a 1,200-word list, and a text whose 512th word is a URL.Tests
test_gliner2_words.py: the splitter is compared with the package regex, verbatim copies of gliner2 1.3.2's and 2.0.0's splitters, and the installed gliner2's splitter. It runs on a corpus of normal and edge texts (URLs, e-mails, mentions, CJK,İ, final sigma, Kelvin sign, no-break and zero-width spaces), 20,000 fuzzed texts, and timed pathological texts.test_gliner2_long_text.py:".","a.", prose and"%…@x"items through the entity and classification paths, for both adapters, finish in well under a second.test_gliner2.py: the load test now checks the splitter swap.Related
\w+(?:[-_]\w+)*|\S, which has no e-mail alternative and is linear: 0.46 s to split 2 MiB of".".words.pywith identical content.🤖 Generated with Claude Code
Summary by CodeRabbit