395 lines
17 KiB
Markdown
395 lines
17 KiB
Markdown
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# Benchmark Harness
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Rust CLI tool for comparative benchmarking of document extraction across 13 Kreuzberg language bindings and 12 reference frameworks. Measures performance (latency, throughput, memory) and quality (TF1, SF1) against ground truth.
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## Overview
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The benchmark harness serves two distinct workflows:
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- **CI benchmarking** -- automated cross-framework comparison triggered via GitHub Actions, producing aggregated results published as GitHub Releases.
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- **Local quality assessment** -- developer-facing pipeline comparison against ground truth for extraction quality triage and regression detection.
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## Architecture
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```text
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CLI (clap)
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+-- run --> AdapterRegistry --> BenchmarkRunner --> results.json
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| +-- NativeAdapter (in-process Kreuzberg)
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| +-- SubprocessAdapter (persistent child process)
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| +-- BatchSubprocessAdapter (batch API)
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+-- compare --> ComparisonConfig --> Pipeline extraction --> Quality scoring
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+-- pipeline-benchmark --> 6-path matrix --> TF1/SF1 scoring --> Triage tables
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+-- consolidate --> Load multi-job results --> Aggregate percentiles
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+-- validate-gt --> Fixture scan --> HTML cleanup --> Integrity report
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+-- survey --> Corpus-wide extraction stats
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+-- model-benchmark --> Layout model A/B comparison
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+-- embed-benchmark --> Embedding throughput measurement
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```
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### Module Structure
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| Module | Purpose |
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| ----------------------------------- | -------------------------------------------------------------------------------------------------------------------------- |
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| `main.rs` | CLI entry point (clap subcommands) |
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| `adapter.rs` | `FrameworkAdapter` trait definition |
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| `adapters/` | Adapter implementations: subprocess (persistent/batch), native (in-process), kreuzberg factory functions for all languages |
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| `runner.rs` | Benchmark orchestration, iteration control, resource monitoring |
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| `quality.rs` | TF1: token-level bag-of-words F1 scoring |
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| `markdown_quality.rs` | SF1: structural block-level F1 scoring |
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| `comparison.rs` | Multi-pipeline extraction with quality guardrails |
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| `pipeline_benchmark.rs` | 6-path extraction matrix benchmark |
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| `corpus.rs`, `fixture.rs` | Fixture loading, filtering, validation |
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| `aggregate.rs`, `consolidate.rs` | Multi-job result merging and percentile aggregation |
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| `output.rs`, `stats.rs` | Result serialization and statistical analysis |
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| `validate_gt.rs` | Ground truth integrity checks and HTML-to-GFM cleanup |
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| `monitoring.rs` | CPU and memory sampling during benchmarks |
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| `profiling.rs`, `profile_report.rs` | Flamegraph generation (requires `profiling` feature) |
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| `survey.rs` | Corpus-wide extraction statistics |
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| `model_benchmark.rs` | Layout model A/B comparison |
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| `embed_benchmark.rs` | Embedding throughput benchmarks |
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| `sizes.rs` | Framework installation footprint measurement |
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## Quality Scoring
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### TF1 (Text F1)
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Token-level bag-of-words F1 between extracted text and ground truth.
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- Tokenization: lowercase, split on whitespace, keep alphanumeric tokens plus `.` and `,`
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- Separate numeric-token F1 for number-heavy documents (financial, scientific)
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- Combined score: `quality_score = 0.6 * f1_text + 0.4 * f1_numeric`
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### SF1 (Structural F1)
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Block-level matching between extracted markdown and ground truth markdown.
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- **Block types:** Heading1-6, Paragraph, CodeBlock, Formula, Table, ListItem, Image
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- **Type weights:** Headings = 2.0, Code/Formula/Table = 1.5, ListItem = 1.0, Paragraph/Image = 0.5
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- **Matching:** Greedy 1:1 with fuzzy cross-type compatibility (e.g., bold paragraph matched to heading gets 0.4 compatibility score)
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- **Adjacent concatenation:** Consecutive blocks of the same type are merged before matching
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- **Order score:** Longest Increasing Subsequence (LIS) on matched block indices
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### Combined Score
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When markdown ground truth is available, both metrics are combined:
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```text
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quality_score = 0.5 * f1_text + 0.2 * f1_numeric + 0.3 * f1_layout
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```
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## Fixture Format
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Fixtures are JSON files organized by format directory under `fixtures/`:
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```json
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{
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"document": "relative/path/to/file.pdf",
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"file_type": "pdf",
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"file_size": 123456,
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"expected_frameworks": ["kreuzberg", "docling"],
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"metadata": {},
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"ground_truth": {
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"text_file": "relative/path/to/gt.txt",
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"markdown_file": "relative/path/to/gt.md",
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"source": "manual|vision|pdf_text_layer|pandoc|python-docx|..."
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}
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}
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```
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### Ground Truth Coverage
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| Format | Fixtures | With Markdown GT |
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| ------ | -------- | ---------------- |
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| PDF | 159 | 158 |
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| HTML | 36 | 36 |
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| DOCX | 26 | 26 |
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| ODT | 19 | 19 |
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| RTF | 17 | 17 |
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| XLSX | 12 | 11 |
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| CSV | 11 | 11 |
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| EPUB | 8 | 8 |
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| PPTX | 8 | 8 |
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| Org | 6 | 6 |
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| DOC | 5 | 5 |
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| OPML | 4 | 4 |
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| RST | 3 | 3 |
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| XLS | 3 | 3 |
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| IPynb | 1 | 1 |
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| JATS | 1 | 1 |
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| LaTeX | 1 | 1 |
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**Total:** 318 fixtures with markdown ground truth across 17 formats.
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## Frameworks
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### Kreuzberg Bindings (13)
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Each binding is benchmarked in both single-file (sequential, fair latency) and batch (concurrent, throughput) modes:
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Rust, Python, Node.js, Ruby, Go, Java, C#, PHP, Elixir, R, WASM, C, Rust+PaddleOCR
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### Reference Frameworks (12)
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External document extraction tools benchmarked in single-file mode:
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Docling, MarkItDown, Pandoc, Unstructured, Tika, PyMuPDF4LLM, PDFPlumber, MinerU, PyPDF, PDFMiner, PDFtoText, Playa-PDF
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## Extraction Pipelines
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The `compare` and `pipeline-benchmark` commands support these extraction paths:
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| Pipeline | Description |
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| ------------------ | ---------------------------------------------- |
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| `baseline` | Native PDF text extraction (no OCR, no layout) |
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| `layout` | Native PDF with layout detection |
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| `tesseract` | Tesseract OCR with force_ocr |
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| `tesseract+layout` | Tesseract OCR with layout detection |
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| `paddle` | PaddleOCR mobile tier with force_ocr |
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| `paddle+layout` | PaddleOCR mobile tier with layout detection |
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| `paddle-server` | PaddleOCR server tier |
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| `docling` | Vendored Docling reference extraction |
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| `paddleocr-python` | Vendored PaddleOCR Python extraction |
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| `rapidocr` | Vendored RapidOCR extraction |
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## CLI Reference
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### `run` -- CI benchmark execution
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Runs benchmarks using framework adapters with configurable iterations, warmup, and sharding.
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```bash
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benchmark-harness run \
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-f fixtures/ \
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-F kreuzberg-rust,kreuzberg-python \
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-m batch \
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-o results/ \
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-i 3 -w 1
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```
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| Flag | Description | Default |
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| ---------------------- | ---------------------------------------------- | ------------- |
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| `-f, --fixtures` | Fixture directory or file | required |
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| `-F, --frameworks` | Comma-separated framework names | all available |
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| `-o, --output` | Output directory | `results` |
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| `-m, --mode` | `single-file` or `batch` | `batch` |
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| `-i, --iterations` | Benchmark iterations | `3` |
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| `-w, --warmup` | Warmup iterations (discarded) | `1` |
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| `-c, --max-concurrent` | Max concurrent extractions | CPU count |
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| `-t, --timeout` | Timeout in seconds | `1800` |
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| `--ocr` | Enable OCR | `false` |
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| `--measure-quality` | Enable quality assessment | `false` |
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| `--shard` | Run fixture subset (`INDEX/TOTAL`, e.g. `1/3`) | none |
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### `consolidate` -- Merge multi-job results
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Combines benchmark results from parallel CI jobs into a single aggregated report with percentiles.
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```bash
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benchmark-harness consolidate \
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--inputs dir1,dir2,dir3 \
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--output consolidated/
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```
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### `compare` -- Local pipeline comparison
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Compares extraction pipelines on the document corpus with quality scoring and optional guardrails.
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```bash
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benchmark-harness compare \
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-f fixtures/ \
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--pipelines baseline,layout,paddle \
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--dump-outputs \
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--guardrails
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```
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| Flag | Description |
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| ---------------- | ----------------------------------------------------- |
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| `--pipelines` | Comma-separated pipeline names |
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| `--dump-outputs` | Write extraction outputs to `/tmp/kreuzberg_compare/` |
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| `--guardrails` | Fail on quality regressions (non-zero exit) |
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| `--filter` | Only run documents matching this substring |
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### `pipeline-benchmark` -- 6-path extraction matrix
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Runs all pipelines across the corpus and produces a ranked triage table.
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```bash
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benchmark-harness pipeline-benchmark \
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-f fixtures/ \
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--group tables \
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--sort-by sf1 \
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--bottom-n 10 \
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--triage-blocks
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```
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| Flag | Description | Default |
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| ----------------- | -------------------------------------------------------------------------------------------- | ------------------- |
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| `--paths` | Comma-separated pipeline names | all 6 default paths |
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| `--doc` | Filter by document name substrings | none |
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| `--group` | Named benchmark group (`tables`, `structure`, `multicolumn`, `text-quality`, `ocr-fallback`) | none |
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| `--sort-by` | Sort metric: `sf1`, `tf1`, `time` | `sf1` |
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| `--bottom-n` | Show only the N worst-performing documents | none |
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| `--triage-blocks` | Print per-block-type F1 breakdown | `false` |
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| `--dump-outputs` | Write outputs to `/tmp/kreuzberg_pipeline/` | `false` |
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| `--json-output` | Write JSON results to file | none |
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| `--profile-dir` | Generate per-pipeline flamegraph SVGs | none |
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### `validate-gt` -- Ground truth validation
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Checks ground truth file integrity and optionally fixes HTML artifacts in markdown files.
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```bash
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benchmark-harness validate-gt -f fixtures/ --fix
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```
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### `survey` -- Corpus extraction statistics
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Produces corpus-wide extraction statistics grouped by file type.
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```bash
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benchmark-harness survey -f fixtures/ --types pdf,docx
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```
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### `model-benchmark` -- Layout model A/B comparison
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Compares two layout model presets across the fixture corpus.
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```bash
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benchmark-harness model-benchmark -f fixtures/ --model-a fast --model-b accurate
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```
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### `embed-benchmark` -- Embedding throughput
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Benchmarks embedding throughput across all presets.
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```bash
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benchmark-harness embed-benchmark
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```
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### `list-fixtures` -- List loaded fixtures
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```bash
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benchmark-harness list-fixtures -f fixtures/
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```
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### `validate` -- Validate fixture JSON
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```bash
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benchmark-harness validate -f fixtures/
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```
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### `measure-framework-sizes` -- Installation footprints
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Measures disk usage of all framework installations.
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```bash
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benchmark-harness measure-framework-sizes --output sizes.json
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```
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## CI Integration
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The benchmark suite runs via `.github/workflows/benchmarks.yaml`, triggered by manual `workflow_dispatch`.
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### Execution DAG
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```text
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setup
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Build harness + FFI library + validate ground truth
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v
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bench-{language} x {single-file, batch} (13 Kreuzberg binding jobs)
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v
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kreuzberg-gate (wait for all Kreuzberg benchmarks)
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v
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bench-{external} (12 reference framework jobs, some sharded)
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v
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aggregate-and-release (consolidate all results -> GitHub Release)
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```
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### Platform
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- Primary: `ubuntu-24.04-arm`
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- Exception: WASM uses `ubuntu-24.04` (x86) due to V8 ARM compatibility issues
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### Timeouts and Artifacts
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- Per-job timeout: 6 hours (configurable per-document timeout)
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- Build artifacts retained: 7 days
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- Result artifacts retained: 30 days
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- Final output: aggregated JSON published as a GitHub Release
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## Vendored Baselines
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Pre-generated extraction outputs from reference tools are stored in `vendored/` for offline comparison:
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| Directory | Source |
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| ---------------------------- | -------------------------------------------------- |
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| `vendored/docling/` | Docling extraction outputs |
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| `vendored/paddleocr-python/` | PaddleOCR Python outputs with timing (`.ms` files) |
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| `vendored/rapidocr/` | RapidOCR extraction outputs |
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Regenerate with:
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```bash
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python tools/benchmark-harness/scripts/generate_vendored_baselines.py
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```
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## Development
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```bash
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# Build
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cargo build -p benchmark-harness
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# Run tests
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cargo test -p benchmark-harness
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# Lint
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cargo clippy -p benchmark-harness -- -D warnings
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# Local pipeline comparison
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cargo run -p benchmark-harness -- compare \
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-f tools/benchmark-harness/fixtures/ \
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--pipelines baseline,layout \
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--dump-outputs
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# Validate ground truth
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cargo run -p benchmark-harness -- validate-gt \
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-f tools/benchmark-harness/fixtures/
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# Full pipeline benchmark with triage
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cargo run -p benchmark-harness -- pipeline-benchmark \
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-f tools/benchmark-harness/fixtures/ \
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--sort-by sf1 --bottom-n 20 --triage-blocks
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# Corpus survey
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cargo run -p benchmark-harness -- survey \
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-f tools/benchmark-harness/fixtures/ --types pdf
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```
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### Optional Features
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| Feature | Description |
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| ------------------ | ----------------------------------------- |
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| `profiling` | Enables flamegraph generation via `pprof` |
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| `memory-profiling` | Enables jemalloc-based memory profiling |
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Build with features:
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|
|
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```bash
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cargo build -p benchmark-harness --features profiling,memory-profiling
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|
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```
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### Tracing
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|
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The harness uses `tracing` with `RUST_LOG` env-filter support. For quality scoring diagnostics:
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|
|
|
||
|
|
```bash
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RUST_LOG=benchmark_harness::markdown_quality=debug cargo run -p benchmark-harness -- compare ...
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|
```
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