From 9a0c26295a7c9f5dd9298e97dfc5b8594ea6b262 Mon Sep 17 00:00:00 2001 From: Nikos Livathinos Date: Wed, 28 Jan 2026 12:41:03 +0100 Subject: [PATCH 01/18] feat: Introduce the docling-metric-teds project. This is an optimized C++ implementation of the Tree-Edit-Distance with python bindings. Signed-off-by: Nikos Livathinos --- docling-metric-teds/.gitignore | 327 ++ docling-metric-teds/CMakeLists.txt | 210 + docling-metric-teds/LICENSE | 21 + docling-metric-teds/README.md | 12 + .../benchmark/benchmark/__init__.py | 0 .../benchmark/benchmark/benchmark.py | 278 ++ .../benchmark/benchmark/dataset.py | 113 + .../benchmark/benchmark/main.py | 60 + .../benchmark/benchmark/teds.py | 243 ++ .../benchmark/test_bracket_serialization.py | 36 + .../benchmark/devtools/execute.sh | 20 + .../benchmark/devtools/test_ted_cpp.sh | 17 + .../benchmark/devtools/test_ted_python.sh | 11 + docling-metric-teds/benchmark/pyproject.toml | 135 + docling-metric-teds/benchmark/uv.lock | 3493 +++++++++++++++++ .../cmake/_extlib_pybind11.cmake | 28 + .../cmake/extlib_cxxopts.cmake | 53 + docling-metric-teds/cmake/extlib_json.cmake | 42 + docling-metric-teds/cmake/extlib_loguru.cmake | 43 + docling-metric-teds/devtools/build_cpp.sh | 43 + docling-metric-teds/src/command_line/main.cc | 70 + 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+# Prerequisites +*.d + +# Compiled Object files +*.slo +*.lo +*.o +*.obj + +# Precompiled Headers +*.gch +*.pch + +# Compiled Dynamic libraries +*.so +*.dylib +*.dll + +# Fortran module files +*.mod +*.smod + +# Compiled Static libraries +*.lai +*.la +*.a +*.lib + +# Executables +*.exe +*.out +*.app + +### CMake ### +CMakeLists.txt.user +CMakeCache.txt +CMakeFiles +CMakeScripts +Testing +Makefile +cmake_install.cmake +install_manifest.txt +compile_commands.json +CTestTestfile.cmake +_deps + +### CMake Patch ### +CMakeUserPresets.json + +# External projects +*-prefix/ + +### Python ### +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +### Python Patch ### +# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration +poetry.toml + +# ruff +.ruff_cache/ + +# LSP config files +pyrightconfig.json + +### venv ### +# Virtualenv +# http://iamzed.com/2009/05/07/a-primer-on-virtualenv/ +[Bb]in +[Ii]nclude +[Ll]ib +[Ll]ib64 +[Ll]ocal +[Ss]cripts +pyvenv.cfg +pip-selfcheck.json + +### Vim ### +# Swap +[._]*.s[a-v][a-z] +!*.svg # comment out if you don't need vector files +[._]*.sw[a-p] +[._]s[a-rt-v][a-z] +[._]ss[a-gi-z] +[._]sw[a-p] + +# Session +Session.vim +Sessionx.vim + +# Temporary +.netrwhist +*~ +# Auto-generated tag files +tags +# Persistent undo +[._]*.un~ + +### VirtualEnv ### +# Virtualenv +# http://iamzed.com/2009/05/07/a-primer-on-virtualenv/ + +### VisualStudioCode ### +.vscode/* +*/.vscode/* +!.vscode/settings.json +!.vscode/tasks.json +!.vscode/launch.json +!.vscode/extensions.json +!.vscode/*.code-snippets + +# Local History for Visual Studio Code +.history/ + +# Built Visual Studio Code Extensions +*.vsix + +### VisualStudioCode Patch ### +# Ignore all local history of files +.history +.ionide + +### macOS ### +# General +.DS_Store +.AppleDouble +.LSOverride + +# Icon must end with two \r +Icon + + +# Thumbnails +._* + +# Files that might appear in the root of a volume +.DocumentRevisions-V100 +.fseventsd +.Spotlight-V100 +.TemporaryItems +.Trashes +.VolumeIcon.icns +.com.apple.timemachine.donotpresent + +# Directories potentially created on remote AFP share +.AppleDB +.AppleDesktop +Network Trash Folder +Temporary Items +.apdisk + +### macOS Patch ### +# iCloud generated files +*.icloud + +# End of https://www.toptal.com/developers/gitignore/api/c++,python,cmake,vim,visualstudiocode,virtualenv,venv,macos + + +# AI +.bob/ + +# Additional dirs to ignore +externals/ +install_root/ + diff --git a/docling-metric-teds/CMakeLists.txt b/docling-metric-teds/CMakeLists.txt new file mode 100644 index 0000000..3dd8bf6 --- /dev/null +++ b/docling-metric-teds/CMakeLists.txt @@ -0,0 +1,210 @@ +cmake_minimum_required(VERSION 3.14) + + +################################################################################# +# Names and versions +# + +set(teds_project_name "docling-metrics-teds") +set(teds_cli_name "docling_metric_teds_cli") +set(teds_pybind_lib_name "docling_metric_teds") + +project(${teds_project_name} VERSION 1.0.0 LANGUAGES CXX C) + +add_compile_definitions(PROJECT_VERSION_MAJOR=${PROJECT_VERSION_MAJOR}) +add_compile_definitions(PROJECT_VERSION_MINOR=${PROJECT_VERSION_MINOR}) +add_compile_definitions(PROJECT_VERSION_PATCH=${PROJECT_VERSION_PATCH}) + +# Debug: Show make commands +# set(CMAKE_VERBOSE_MAKEFILE ON) + + +########################################################################################### +# Path variables +# External dependencies are downloaded inside the externals/ dir +# + +if(NOT DEFINED TOPLEVEL_PREFIX_PATH) + set(TOPLEVEL_PREFIX_PATH "${CMAKE_CURRENT_SOURCE_DIR}") +endif() + +if(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT) + set(CMAKE_INSTALL_PREFIX "${TOPLEVEL_PREFIX_PATH}/install_root" CACHE PATH "Install prefix" FORCE) +endif() + +if(NOT DEFINED EXTERNALS_PREFIX_PATH) + set(EXTERNALS_PREFIX_PATH "${TOPLEVEL_PREFIX_PATH}/externals" CACHE INTERNAL "") +endif() + +if(NOT "${TOPLEVEL_PREFIX_PATH}/cmake" IN_LIST CMAKE_MODULE_PATH) + set(CMAKE_MODULE_PATH "${CMAKE_MODULE_PATH}" "${TOPLEVEL_PREFIX_PATH}/cmake") +endif() + +include(GNUInstallDirs) + + +# set(ENV_ARCH $ENV{CIBW_ARCHS}) +# message(STATUS "cibw arch: " ${ENV_ARCH}) + +# set(CMAKE_OSX_ARCHITECTURES $ENV{CIBW_ARCHS}) +# message(STATUS "cibw arch: " ${ENV_ARCH}) + +set(ENV_ARCHFLAGS $ENV{ARCHFLAGS}) +message(STATUS "arch flags: " ${ENV_ARCHFLAGS}) +message(STATUS " top path: " ${TOPLEVEL_PREFIX_PATH}) +message(STATUS " lib path: " ${EXTERNALS_PREFIX_PATH}) +message(STATUS " install path: " ${CMAKE_INSTALL_PREFIX}) +message(STATUS "bin install path: " ${CMAKE_INSTALL_BINDIR}) +message(STATUS "lib install path: " ${CMAKE_INSTALL_LIBDIR}) +message(STATUS " cmake path: " ${CMAKE_MODULE_PATH}) +message(STATUS " cmake system: " ${CMAKE_SYSTEM_PROCESSOR}) +message(STATUS " make osx arch: " ${CMAKE_OSX_ARCHITECTURES}) + + +################################################################################# +# Compiler +# +message(STATUS "cmake osx-deployment: " ${CMAKE_OSX_DEPLOYMENT_TARGET}) + +# minimum macosx, ignored on other platforms +if(APPLE) + if(NOT CMAKE_OSX_DEPLOYMENT_TARGET) + message(STATUS "cmake is not set") + elseif(CMAKE_OSX_DEPLOYMENT_TARGET VERSION_LESS 10.15) + set(CMAKE_OSX_DEPLOYMENT_TARGET "10.15" CACHE STRING "Minimum macOS version" FORCE) + endif() +endif() + +message(STATUS "cmake system-version: " ${CMAKE_SYSTEM_VERSION}) +message(STATUS "cmake osx-deployment: " ${CMAKE_OSX_DEPLOYMENT_TARGET}) + +set(CMAKE_CXX_STANDARD 20) +set(CMAKE_CXX_STANDARD_REQUIRED ON) + +if (WIN32) + set(TEST_PATH "\\\"${TOPLEVEL_PREFIX_PATH}\\\"") + add_definitions(-DROOT_PATH="\\\"${TOPLEVEL_PREFIX_PATH}\\\"") + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -Wno-sign-compare -O3 ${ENV_ARCHFLAGS}") +else() + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -Wno-sign-compare -O3 -DROOT_PATH='\"${TOPLEVEL_PREFIX_PATH}\"' ${ENV_ARCHFLAGS}") +endif() + +message(STATUS "cxx-compiler: " ${CMAKE_CXX_COMPILER}) +message(STATUS "cxx-flags : " ${CMAKE_CXX_FLAGS}) +message(STATUS "cxx-standard: " ${CMAKE_CXX_STANDARD}) + + +################################################################################# +# Source files, include dirs +# + +# List of source files +# Get all *.cc except those begining with underscore +file(GLOB_RECURSE teds_srcs "src/[!_]*.cc") +file(GLOB_RECURSE teds_srcs_EXCLUSIONS "src/command_line/main.cc" "src/pybind/pybind_module.cc") +list(REMOVE_ITEM teds_srcs ${teds_srcs_EXCLUSIONS}) +# message(STATUS "Source files: ${teds_srcs}") + +# List of header files +# Get all *.h except those begining with underscore +file(GLOB_RECURSE teds_headers "${PROJECT_SOURCE_DIR}/src/[!_]*.h") +# message(STATUS "Header files: ${teds_headers}") + +# List all header directories +set(teds_include_dirs "") +foreach(header ${teds_headers}) + get_filename_component(dir "${header}" DIRECTORY) + list(APPEND teds_include_dirs "${dir}") +endforeach() +list(REMOVE_DUPLICATES teds_include_dirs) +list(APPEND teds_include_dirs "${pybind11_INCLUDE_DIRS}") +list(APPEND teds_include_dirs "${EXTERNALS_PREFIX_PATH}/include") + +# Debug +string(REPLACE ";" "\n" teds_include_dirs_str "${teds_include_dirs}") +message(STATUS "Include dirs: ${teds_include_dirs_str}") + + +########################################################################################### +# Dependencies +# + +# Interface library for our source code +add_library(teds_interface INTERFACE) +target_include_directories(teds_interface INTERFACE "${teds_include_dirs}") + +# Add pybind11 +set(PYBIND11_FINDPYTHON ON) +find_package(pybind11 CONFIG REQUIRED) +message(STATUS "PyBind11 + Python include dirs: ${pybind11_INCLUDE_DIRS}") +message(STATUS "PyBind11 libs: ${pybind11_LIBRARIES}") + +option(USE_SYSTEM_DEPS OFF "If enabled, the build will find and link to system dependencies, otherwise they are sourced from the original repos and compiled on the fly.") + +# Directory structure to building external packages +if(NOT USE_SYSTEM_DEPS) + if(NOT EXISTS ${EXTERNALS_PREFIX_PATH}) + file(MAKE_DIRECTORY ${EXTERNALS_PREFIX_PATH}) + file(MAKE_DIRECTORY ${EXTERNALS_PREFIX_PATH}/bin) + file(MAKE_DIRECTORY ${EXTERNALS_PREFIX_PATH}/lib) + file(MAKE_DIRECTORY ${EXTERNALS_PREFIX_PATH}/include) + endif() +endif() + +# Include external dependencies +include(cmake/extlib_cxxopts.cmake) +include(cmake/extlib_loguru.cmake) +include(cmake/extlib_json.cmake) + +# define LIB_LINK and OS_DEPENDENCIES +# include(cmake/os_opts.cmake) +# list(APPEND DEPENDENCIES ${OS_DEPENDENCIES}) + +# define subdirlist utility +# include(cmake/subdirlist.cmake) + +set(dependencies + teds_interface + "${ext_name_json}" + "${ext_name_loguru}" + "${ext_name_cxxopts}" +) + + +########################################################################################### +# Executables +# + +# Compile CLI +add_executable("${teds_cli_name}" "src/command_line/main.cc") +target_link_libraries("${teds_cli_name}" PUBLIC ${dependencies}) + + +########################################################################################### +# Python bindings +# + +pybind11_add_module( + "${teds_pybind_lib_name}" + "${TOPLEVEL_PREFIX_PATH}/src/pybind/pybind_module.cc" +) +target_link_libraries("${teds_pybind_lib_name}" PUBLIC ${dependencies}) + + +########################################################################################### +# Install +# + +# CLI +install(TARGETS "${teds_cli_name}" RUNTIME DESTINATION "${CMAKE_INSTALL_BINDIR}") + +# Bindings +install(TARGETS "${teds_pybind_lib_name}" LIBRARY DESTINATION "${CMAKE_INSTALL_LIBDIR}") + + +########################################################################################### +# Tests +# +include(CTest) +add_subdirectory(test/) + diff --git a/docling-metric-teds/LICENSE b/docling-metric-teds/LICENSE new file mode 100644 index 0000000..cd51b95 --- /dev/null +++ b/docling-metric-teds/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2021 Database Research Group Salzburg + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/docling-metric-teds/README.md b/docling-metric-teds/README.md new file mode 100644 index 0000000..38a1483 --- /dev/null +++ b/docling-metric-teds/README.md @@ -0,0 +1,12 @@ +# docling-metric-teds + +This is an optimized implementation of the Tree Edit Distance Score. + +Main features: + +- Parallelized C++ implementation. +- Python bindings. +- Docling API. + +This repo builds on top of the [tree-similarity](https://github.com/DatabaseGroup/tree-similarity) + diff --git a/docling-metric-teds/benchmark/benchmark/__init__.py b/docling-metric-teds/benchmark/benchmark/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/docling-metric-teds/benchmark/benchmark/benchmark.py b/docling-metric-teds/benchmark/benchmark/benchmark.py new file mode 100644 index 0000000..2723510 --- /dev/null +++ b/docling-metric-teds/benchmark/benchmark/benchmark.py @@ -0,0 +1,278 @@ +from statistics import mean, median, stdev +import time +from typing import Optional +from pydantic import BaseModel +from logging import Logger +from pathlib import Path +import subprocess +from benchmark.teds import TableTree, TEDScorer +from apted import APTED +from benchmark.teds import CustomConfig +import logging +from datetime import datetime + +_log: Logger = logging.getLogger(__name__) + + +class BenchmarkStats(BaseModel): + mean: float + median: float + std: float + max: float + min: float + + +class BenchmarkSample(BaseModel): + id: str + sample_len: int + python_teds: float + python_ms: float + cpp_teds: float + cpp_ms: float + match: bool + + +class BenchmarkReport(BaseModel): + samples: dict[str, BenchmarkSample] # id -> BenchmarkSample + python_ms_stats: BenchmarkStats + cpp_ms_stats: BenchmarkStats + + +class Benchmarker: + def __init__( + self, + cpp_ted: Path, + save_root: Path, + ): + r""" """ + self._cpp_teds = cpp_ted + self._gt_prefix = "GT" + self._pred_prefix = "pred" + + # Ensure save_root exists + save_root.mkdir(parents=True, exist_ok=True) + self._save_root = save_root + + # Benchmarking report + # self._report: dict + + def benchmark(self, bracket_root: Path) -> Optional[BenchmarkReport]: + r""" + 1. Match the ground truth and prediction files using the find_matches(). + 2. Use the matched file pairs from step 1, load the files and pass their content in TableTree.from_bracket() to create TableTree instances. + 3. Pass the TableTree instances to the APTED class to get the TED score. + 4. Call the c++ implementation using the subprocess module. The input arguments must be: + - First argument is the literal "file" + - Second argument is the path to the ground truth bracket file prefixed with self._gt_prefix. + - Third argument is the path to the prediction bracket file prefixed with self._pred_prefix. + 5. Print the output of the python and the C++ implementations. + """ + # Step 1: Match ground truth and prediction files + matches = self._find_matches(bracket_root) + + if not matches: + _log.info("No matching files found.") + return None + + # Process each matched pair + benchmark_samples: dict[str, BenchmarkSample] = {} + all_python_ms: list[float] = [] + all_cpp_ms: list[float] = [] + + for i, (gt_file, pred_file) in enumerate(matches.items()): + # Extract filename without GT prefix + gt_filename = gt_file.stem + file_id = gt_filename[len(self._gt_prefix) + 1 :] + + # Step 2: Load files and create TableTree instances + with open(gt_file, "r") as f: + gt_bracket_str: str = f.read() + with open(pred_file, "r") as f: + pred_bracket_str: str = f.read() + + gt_tree: TableTree = TableTree.from_bracket(gt_bracket_str) + pred_tree: TableTree = TableTree.from_bracket(pred_bracket_str) + + # Calculate number of nodes for normalization + def count_nodes(tree): + count = 1 + for child in tree.children: + count += count_nodes(child) + return count + + n_nodes_gt = count_nodes(gt_tree) + n_nodes_pred = count_nodes(pred_tree) + n_nodes = max(n_nodes_gt, n_nodes_pred) + + # Step 3: Calculate TED score using Python implementation + t0 = time.monotonic() + python_distance = APTED( + pred_tree, gt_tree, CustomConfig() + ).compute_edit_distance() + python_ms = (time.monotonic() - t0) * 1000 + all_python_ms.append(python_ms) + python_teds = 1.0 - (float(python_distance) / n_nodes) + + # Step 4: Call C++ implementation + cpp_teds = None + cpp_ms = -1 + try: + cmd = [str(self._cpp_teds), "file", str(gt_file), str(pred_file)] + t0 = time.monotonic() + result = subprocess.run(cmd, capture_output=True, text=True, timeout=30) + cpp_ms = (time.monotonic() - t0) * 1000 + all_cpp_ms.append(cpp_ms) + + if result.returncode == 0: + cpp_output = result.stdout.strip() + try: + # Parse the C++ output to extract distance from last line + # Expected format: "Distance TED:X" where X is the distance + lines = cpp_output.split("\n") + last_line = lines[-1] + # Extract the number after "Distance TED:" + cpp_distance = float(last_line.split(":")[1]) + cpp_teds = 1.0 - (float(cpp_distance) / n_nodes) + except (ValueError, IndexError) as e: + # If parsing fails, log the error and output + _log.error( + "%s | C++ parsing failed: %s", + file_id, + str(e), + ) + else: + _log.error( + "%s | C++ error: %s", + file_id, + result.stderr.strip(), + ) + except subprocess.TimeoutExpired: + _log.error("%s | C++ timeout", file_id) + except Exception as e: + _log.error("%s | C++ error: %s", file_id, str(e)) + + # Create BenchmarkSample + if cpp_teds is not None: + match = abs(cpp_teds - python_teds) < 1e-6 + characterization = "Match!" if match else "Differ" + + sample = BenchmarkSample( + id=file_id, + python_teds=python_teds, + python_ms=python_ms, + cpp_teds=cpp_teds, + cpp_ms=cpp_ms, + match=match, + sample_len=n_nodes, + ) + benchmark_samples[file_id] = sample + + _log.info( + "%d: %s | n_nodes: %d | Python: %.6f (%.2fms) | C++: %.6f (%.2fms) | %s", + i, + file_id, + n_nodes, + python_teds, + python_ms, + cpp_teds, + cpp_ms, + characterization, + ) + else: + _log.info( + "%d: %s | n_nodes: %d | Python: %.6f (%.2fms) | C++: N/A", + i, + file_id, + n_nodes, + python_teds, + python_ms, + ) + + # Create BenchmarkStats from timing data + if not all_python_ms or not all_cpp_ms: + _log.error("No valid benchmark data collected") + return None + + python_ms_stats = BenchmarkStats( + mean=mean(all_python_ms), + median=median(all_python_ms), + std=stdev(all_python_ms) if len(all_python_ms) > 1 else 0.0, + max=max(all_python_ms), + min=min(all_python_ms), + ) + + cpp_ms_stats = BenchmarkStats( + mean=mean(all_cpp_ms), + median=median(all_cpp_ms), + std=stdev(all_cpp_ms) if len(all_cpp_ms) > 1 else 0.0, + max=max(all_cpp_ms), + min=min(all_cpp_ms), + ) + + # Create and return BenchmarkReport + report = BenchmarkReport( + samples=benchmark_samples, + python_ms_stats=python_ms_stats, + cpp_ms_stats=cpp_ms_stats, + ) + + # Save report as JSON + + # Log benchmark statistics + _log.info( + "Python stats | mean: %.2fms | median: %.2fms | std: %.2fms | min: %.2fms | max: %.2fms", + python_ms_stats.mean, + python_ms_stats.median, + python_ms_stats.std, + python_ms_stats.min, + python_ms_stats.max, + ) + _log.info( + "C++ stats | mean: %.2fms | median: %.2fms | std: %.2fms | min: %.2fms | max: %.2fms", + cpp_ms_stats.mean, + cpp_ms_stats.median, + cpp_ms_stats.std, + cpp_ms_stats.min, + cpp_ms_stats.max, + ) + + timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") + report_path = self._save_root / f"benchmark_report_{timestamp}.json" + with open(report_path, "w") as f: + f.write(report.model_dump_json(indent=2)) + _log.info("Benchmark report saved to: %s", report_path) + + return report + + def _find_matches(self, bracket_root: Path) -> dict[Path, Path]: + r""" + 1. Scan the bracket_root for the ground truth and prediction files. + 2. Return a dictionary with the paths to the ground truth and prediction files. + 3. The ground truth files are the ones with the prefix "GT" and the prediction files are the ones with the prefix "pred". + 4. The keys of the dictionary are the paths to the ground truth files and the values are the paths to the prediction files. + 5. All files have an extension of ".bracket". + 6. Use the ground truth files as a pivot to match the prediction files. + """ + matches = {} + + # Find all ground truth files with the GT prefix + gt_files = sorted( + bracket_root.glob(f"{self._gt_prefix}_*.bracket"), key=lambda p: p.stem + ) + + for gt_file in gt_files: + # Extract the doc_id and table_id from the GT filename + # Format: GT_{doc_id}_{table_id}.bracket + gt_filename = gt_file.stem # Remove .bracket extension + # Remove the GT_ prefix + suffix = gt_filename[len(self._gt_prefix) + 1 :] # +1 for underscore + + # Construct the corresponding prediction filename + pred_filename = f"{self._pred_prefix}_{suffix}.bracket" + pred_file = bracket_root / pred_filename + + # Only add to matches if the prediction file exists + if pred_file.exists(): + matches[gt_file] = pred_file + + return matches diff --git a/docling-metric-teds/benchmark/benchmark/dataset.py b/docling-metric-teds/benchmark/benchmark/dataset.py new file mode 100644 index 0000000..f38ef8e --- /dev/null +++ b/docling-metric-teds/benchmark/benchmark/dataset.py @@ -0,0 +1,113 @@ +from pathlib import Path +import glob +import logging +from benchmark.teds import TEDScorer, TableTree +from datasets import Dataset, load_dataset +from docling_core.types.doc.document import DoclingDocument, TableItem, DocItemLabel +from lxml import html + + +_log = logging.getLogger(__name__) + + +class ParquetDataset: + def __init__( + self, + save_root: Path, + ): + r""" """ + self._save_root = save_root + self._teds_scorer: TEDScorer = TEDScorer() + self._stopwords = ["", "", "", "", "", ""] + + # Ensusre save dir + self._save_root.mkdir(parents=True, exist_ok=True) + + def export_teds_str( + self, + ds_path: Path, + split: str = "test", + ): + r""" + 1. Use the ftn_root as the root and the split to find the parquet files. + 2. Use glob to load the parquet files. + 3. Use the HuggingFace dataset + """ + split_path = str(ds_path / split / "*.parquet") + split_files = glob.glob(split_path) + _log.info("#-files: %s", len(split_files)) + ds = load_dataset("parquet", data_files={split: split_files}) + _log.info("Overview of dataset: %s", ds) + + # Select the split + ds_selection: Dataset = ds[split] + + for i, data in enumerate(ds_selection): + doc_id: str = data["document_id"] + + # Get GT tables + gt_doc_str: str = data["GroundTruthDocument"] + gt_doc: DoclingDocument = DoclingDocument.model_validate_json(gt_doc_str) + gt_tables: list[TableItem] = gt_doc.tables + + # Get predicted tables + if "PredictedDocument" in data: + pred_doc_str: str = data["PredictedDocument"] + pred_doc: DoclingDocument = DoclingDocument.model_validate_json( + pred_doc_str + ) + pred_tables: list[TableItem] = pred_doc.tables + else: + pred_tables = [] + + for table_id in range(len(gt_tables)): # , len(pred_tables)): + # Avoid items of type DocItemLabel.DOCUMENT_INDEX + if gt_tables[table_id].label != DocItemLabel.TABLE: + _log.warning( + f"Skipping table with label {gt_tables[table_id].label}" + ) + continue + + try: + gt_table = gt_tables[table_id] + self.save_bracket("GT", doc_id, table_id, gt_doc, gt_table) + if len(pred_tables) > table_id: + pred_table = pred_tables[table_id] + self.save_bracket( + "pred", doc_id, table_id, pred_doc, pred_table + ) + + except Exception as ex: + # _log.error(f"Table {table_id} from document {doc_id} could not be compared!") + _log.error(ex) + return + + def save_bracket( + self, + prefix: str, + doc_id: str, + table_id: int, + doc: DoclingDocument, + table: TableItem, + ): + """ + Save the bracket representation of the table + """ + # Get html string + html_str: str = table.export_to_html(doc) + + for stopword in self._stopwords: + html_str = html_str.replace(stopword, "") + + # Get html object + html_obj = html.fromstring(html_str) + + bracket: TableTree = self._teds_scorer.html_to_table_tree(html_obj) + bracket_str: str = bracket.bracket() + + # Save the bracket + braket_filename = f"{prefix}_{doc_id}_{table_id}.bracket" + bracket_fn = self._save_root / braket_filename + with open(bracket_fn, "w") as f: + f.write(bracket_str) + _log.info("%s: Saved bracket to %s", doc_id, bracket_fn) diff --git a/docling-metric-teds/benchmark/benchmark/main.py b/docling-metric-teds/benchmark/benchmark/main.py new file mode 100644 index 0000000..d86c1a5 --- /dev/null +++ b/docling-metric-teds/benchmark/benchmark/main.py @@ -0,0 +1,60 @@ +import argparse +from pathlib import Path +import logging + +from benchmark.benchmark import Benchmarker +from benchmark.dataset import ParquetDataset + +_log = logging.getLogger(__name__) + +CPP_TED = "/Users/nli/TEDS-metric/TEDS-metric/build/ted" + + +def main(): + parser = argparse.ArgumentParser(description="TEDS Benchmark") + parser.add_argument( + "-o", + "--operation", + type=str, + required=True, + help="Operation to perform. One of [export, benchmark]", + ) + parser.add_argument( + "-i", + "--input_root", + type=Path, + required=True, + help="Path to the data root directory", + ) + parser.add_argument( + "-s", + "--save_root", + type=Path, + required=True, + help="Path to the directory to save generated data", + ) + args = parser.parse_args() + + # Access the input_root argument + input_root = args.input_root + save_root = args.save_root + + # Configure logger + log_format = "%(asctime)s - %(levelname)s - %(message)s" + logging.basicConfig(level=logging.INFO, format=log_format) + + # Handle operation argument + if args.operation == "export": + _log.info("Export parquet dataset") + ds: ParquetDataset = ParquetDataset(save_root=args.save_root) + ds.export_teds_str(ds_path=input_root) + elif args.operation == "benchmark": + _log.info("Benchmark Python vs C++ TEDs implementations") + benchmarker = Benchmarker(CPP_TED, save_root) + benchmarker.benchmark(input_root) + else: + _log.error("Invalid operation: %s", args.operation) + + +if __name__ == "__main__": + main() diff --git a/docling-metric-teds/benchmark/benchmark/teds.py b/docling-metric-teds/benchmark/benchmark/teds.py new file mode 100644 index 0000000..0270b0e --- /dev/null +++ b/docling-metric-teds/benchmark/benchmark/teds.py @@ -0,0 +1,243 @@ +# +# Copyright IBM Corp. 2024 - 2024 +# SPDX-License-Identifier: MIT +# +from collections import deque + +import distance +from apted import APTED, Config +from apted.helpers import Tree +from lxml import html + + +class CustomConfig(Config): + @staticmethod + def maximum(*sequences): + """Get maximum possible value""" + return max(map(len, sequences)) + + def normalized_distance(self, *sequences): + """Get distance from 0 to 1""" + return float(distance.levenshtein(*sequences)) / self.maximum(*sequences) + + def rename(self, node1, node2): + """Compares attributes of trees""" + if ( + (node1.tag != node2.tag) + or (node1.colspan != node2.colspan) + or (node1.rowspan != node2.rowspan) + ): + return 1.0 + if node1.tag in ["td", "th"]: + if node1.content or node2.content: + return self.normalized_distance(node1.content, node2.content) + return 0.0 + + +class TableTree(Tree): + def __init__(self, tag, colspan=None, rowspan=None, content=None, *children): + self.tag = tag + self.colspan = colspan + self.rowspan = rowspan + self.content = content + self.children = list(children) + + def bracket(self): + """Show tree using brackets notation""" + if self.tag in ["td", "th"]: + result = '"tag": %s, "colspan": %d, "rowspan": %d, "text": %s' % ( + self.tag, + self.colspan, + self.rowspan, + self.content, + ) + else: + result = '"tag": %s' % self.tag + for child in self.children: + result += child.bracket() + return "{{{}}}".format(result) + + @staticmethod + def from_bracket(bracket_str): + """Parse tree from bracket notation string + + Args: + bracket_str: String in bracket notation format, e.g.: + {"tag": table{"tag": tbody{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}}} + + Returns: + TableTree: Parsed tree structure + """ + import re + import ast + + def parse_node(s, pos): + """Recursively parse a node from bracket notation + + Args: + s: The full bracket string + pos: Current position in the string + + Returns: + tuple: (parsed_node, new_position) + """ + # Skip whitespace + while pos < len(s) and s[pos].isspace(): + pos += 1 + + # Expect opening { + if pos >= len(s) or s[pos] != "{": + raise ValueError( + f"Expected '{{' at position {pos}, found: {s[pos : pos + 10]}" + ) + pos += 1 + + # Parse the tag attribute + tag_match = re.match(r'"tag":\s*(\w+)', s[pos:]) + if not tag_match: + raise ValueError(f"Could not find tag at position {pos}") + + tag = tag_match.group(1) + pos += tag_match.end() + + # Check if this is a td/th node by looking for colspan + colspan = None + rowspan = None + content = None + + # Look ahead to see if we have colspan/rowspan (indicates td/th node) + lookahead = s[pos : pos + 100] + colspan_match = re.match(r',\s*"colspan":\s*(\d+)', lookahead) + + if colspan_match: + # This is a td/th node + pos += colspan_match.end() + colspan = int(colspan_match.group(1)) + + # Parse rowspan + rowspan_match = re.match(r',\s*"rowspan":\s*(\d+)', s[pos:]) + if rowspan_match: + pos += rowspan_match.end() + rowspan = int(rowspan_match.group(1)) + + # Parse text content + text_match = re.match(r',\s*"text":\s*(\[.*?\])', s[pos:]) + if text_match: + pos += text_match.end() + try: + content = ast.literal_eval(text_match.group(1)) + except: + content = [] + else: + content = [] + + node = TableTree(tag, colspan, rowspan, content) + else: + # This is a structural node (table, tbody, tr, etc.) + node = TableTree(tag, None, None, None) + + # Parse children + while pos < len(s): + # Skip whitespace + while pos < len(s) and s[pos].isspace(): + pos += 1 + + if pos >= len(s): + raise ValueError("Unexpected end of string") + + # Check for closing brace + if s[pos] == "}": + pos += 1 + break + + # Check for child node + if s[pos] == "{": + child, pos = parse_node(s, pos) + node.children.append(child) + else: + # Skip any other characters (shouldn't happen in valid input) + pos += 1 + + return node, pos + + # Parse the root node + root, _ = parse_node(bracket_str, 0) + return root + + +class TEDScorer: + r""" + Compute Tree-Edit-Distance Score on HTML tables with support for cell content + """ + + def __init__(self): + self._tokens = [] + + def teds(self, gt_table: html, pred_table: html, structure_only: bool) -> float: + r""" + Compute the tree-edit-distance score TEDS + TEDS is a float between [0, 1] where 0 is the worst and 1 is the best + """ + n_nodes_pred = len(pred_table.xpath(".//*")) + n_nodes_gt = len(gt_table.xpath(".//*")) + + # Convert the html objects into APTED trees + tree_pred: TableTree = self.html_to_table_tree( + pred_table, convert_cell=not structure_only + ) + tree_gt: TableTree = self.html_to_table_tree( + gt_table, convert_cell=not structure_only + ) + + n_nodes = max(n_nodes_pred, n_nodes_gt) + distance = APTED(tree_pred, tree_gt, CustomConfig()).compute_edit_distance() + teds = 1.0 - (float(distance) / n_nodes) + return teds + + def _tokenize(self, node: html): + r""" + Tokenizes table cells + """ + self._tokens.append(f"<{node.tag}") + if node.text is not None: + self._tokens += list(node.text) + for n in node.getchildren(): + self._tokenize(n) + if node.tag != "unk": + self._tokens.append(f"") + if (node.tag not in ["td", "th"]) and node.tail is not None: + self._tokens += list(node.tail) + + def html_to_table_tree( + self, node: html, convert_cell: bool = False, parent: html = None + ) -> TableTree: + r""" + Converts HTML tree to the bracket notation for APTED + """ + if node.tag in ["td", "th"]: + # Normalize the tag to td, otherwise the comparison in APTED causes mismatch + # TODO: Make this normalization configurable. + node.tag = "td" + if convert_cell: + self._tokens = [] + self._tokenize(node) + cell = self._tokens[1:-1].copy() + else: + cell = [] + new_node: TableTree = TableTree( + node.tag, + int(node.attrib.get("colspan", "1")), + int(node.attrib.get("rowspan", "1")), + cell, + *deque(), + ) + else: + new_node: TableTree = TableTree(node.tag, None, None, None, *deque()) + if parent is not None: + parent.children.append(new_node) + if node.tag not in ["td", "th"]: + for n in node.getchildren(): + self.html_to_table_tree(n, convert_cell, new_node) + # if parent is None: + # return new_node + return new_node diff --git a/docling-metric-teds/benchmark/benchmark/test_bracket_serialization.py b/docling-metric-teds/benchmark/benchmark/test_bracket_serialization.py new file mode 100644 index 0000000..e6789b7 --- /dev/null +++ b/docling-metric-teds/benchmark/benchmark/test_bracket_serialization.py @@ -0,0 +1,36 @@ +from teds import TableTree + +BRACKETS: list[str] = [ + '{"tag": table{"tag": tbody{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}}}', + '{"tag": table{"tag": tbody{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}}}', + '{"tag": table{"tag": tbody{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}}}', + '{"tag": table{"tag": tbody{"tag": tr{"tag": td, "colspan": 1, "rowspan": 2, "text": []}{"tag": td, "colspan": 1, "rowspan": 2, "text": []}{"tag": td, "colspan": 2, "rowspan": 1, "text": []}{"tag": td, "colspan": 2, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 2, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 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"rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}{"tag": tr{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}{"tag": td, "colspan": 1, "rowspan": 1, "text": []}}}}', +] + + +def test_braket_serialization(): + r""" + 1. Use the TableTree.from_bracket() method to create a tree from a bracket strings + 2. Then serialize the created tree using the TableTree.to_bracket() method + 3. Finally, compare the original bracket string with the serialized string to ensure they are the same. + """ + + for bracket_str in BRACKETS: + # Step 1: Parse the bracket string into a TableTree + tree = TableTree.from_bracket(bracket_str) + + # Step 2: Serialize the tree back to bracket notation + serialized_str = tree.bracket() + + # Step 3: Compare the original and serialized strings + assert bracket_str == serialized_str, ( + f"Bracket serialization mismatch!\n" + f"Original: {bracket_str}\n" + f"Serialized: {serialized_str}" + ) + + print(f"✓ All {len(BRACKETS)} bracket serialization tests passed!") + + +if __name__ == "__main__": + test_braket_serialization() diff --git a/docling-metric-teds/benchmark/devtools/execute.sh b/docling-metric-teds/benchmark/devtools/execute.sh new file mode 100755 index 0000000..213a4a3 --- /dev/null +++ b/docling-metric-teds/benchmark/devtools/execute.sh @@ -0,0 +1,20 @@ +#!/bin/bash + +. .venv/bin/activate + + +DS_ROOT="/Users/nli/data/datasets/GraniteDocling_table_eval" +BRACKET_ROOT="/Users/nli/TEDS-metric/GraniteDocling_brackets" +REPORT_ROOT="/Users/nli/TEDS-metric/report" + + +# python -m benchmark.main \ +# -o "export" \ +# -i "${DS_ROOT}" \ +# -s "${BRACKET_ROOT}" + + +python -m benchmark.main \ + -o "benchmark" \ + -i "${BRACKET_ROOT}" \ + -s "${REPORT_ROOT}" diff --git a/docling-metric-teds/benchmark/devtools/test_ted_cpp.sh b/docling-metric-teds/benchmark/devtools/test_ted_cpp.sh new file mode 100755 index 0000000..bd62862 --- /dev/null +++ b/docling-metric-teds/benchmark/devtools/test_ted_cpp.sh @@ -0,0 +1,17 @@ +#!/bin/bash + +TED="../build/ted" + +# BRACKETS_DIR="/Users/nli/TEDS-metric/ftn_brackets" +BRACKETS_DIR="/Users/nli/TEDS-metric/dpbench_brackets" + + +# "${TED}" file \ +# "${BRACKETS_DIR}/ZBRA.2018.page_89.pdf_172_0.bracket" \ +# "${BRACKETS_DIR}/ZBRA.2018.page_89.pdf_172_0.bracket" + +"${TED}" file \ + "${BRACKETS_DIR}/GT_01030000000200.pdf_0.bracket" \ + "${BRACKETS_DIR}/pred_01030000000200.pdf_0.bracket" + + diff --git a/docling-metric-teds/benchmark/devtools/test_ted_python.sh b/docling-metric-teds/benchmark/devtools/test_ted_python.sh new file mode 100755 index 0000000..51df577 --- /dev/null +++ b/docling-metric-teds/benchmark/devtools/test_ted_python.sh @@ -0,0 +1,11 @@ +#!/bin/bash + +# BRACKETS_DIR="/Users/nli/TEDS-metric/ftn_brackets" +BRACKETS_DIR="/Users/nli/TEDS-metric/dpbench_brackets" + +. .venv/bin/activate +python -m apted \ + -f \ + "${BRACKETS_DIR}/GT_01030000000200.pdf_0.bracket" \ + "${BRACKETS_DIR}/pred_01030000000200.pdf_0.bracket" + diff --git a/docling-metric-teds/benchmark/pyproject.toml b/docling-metric-teds/benchmark/pyproject.toml new file mode 100644 index 0000000..a93f407 --- /dev/null +++ b/docling-metric-teds/benchmark/pyproject.toml @@ -0,0 +1,135 @@ +[project] +name = "TEDS-benchmark" +version = "0.0.1" # DO NOT EDIT, updated automatically +description = "Benchmarking TEDS" +license = "MIT" +readme = "README.md" +authors = [ + { name = "Nikos Livathinos", email = "nli@zurich.ibm.com" }, +] +classifiers = [ + "Operating System :: MacOS :: MacOS X", + "Operating System :: POSIX :: Linux", + "Development Status :: 5 - Production/Stable", + "Intended Audience :: Developers", + "Intended Audience :: Science/Research", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "Programming Language :: Python :: 3", +] +requires-python = '>=3.10,<4.0' +dependencies = [ + "docling-core", + 'pydantic', + 'datasets', + 'apted', + "pyarrow", + "lxml", + "distance", +] + +[project.urls] +homepage = "https://github.com/docling-project/docling-eval" +repository = "https://github.com/docling-project/docling-eval" +issues = "https://github.com/docling-project/docling-eval/issues" +changelog = "https://github.com/docling-project/docling-eval/blob/main/CHANGELOG.md" + +[project.scripts] +docling-eval = "docling_eval.cli.main:app" + +[dependency-groups] +dev = [ + "pre-commit~=3.7", + "mypy~=1.10", + "black~=24.4", + "isort~=5.10", + "autoflake~=2.0", + "flake8~=7.1", + "flake8-docstrings~=1.6", + "types-setuptools~=70.3", + "pandas-stubs~=2.1", + "types-openpyxl~=3.1", + "types-requests~=2.31", + "types-protobuf~=5.29", + "boto3-stubs~=1.37", + "types-urllib3~=1.26", + "coverage~=7.6", + "pytest~=8.3", + "pytest-cov>=6.1.1", + "pytest-dependency~=0.6", + "pytest-xdist~=3.3", + "python-semantic-release~=7.32", + "ruff", +] + +[tool.uv] +package = true + +[tool.setuptools.packages.find] +include = ["docling_eval*"] + +[tool.black] +line-length = 88 +target-version = ["py310"] +include = '\.pyi?$' + +[tool.isort] +profile = "black" +line_length = 88 +py_version = 310 + +[tool.mypy] +pretty = true +# strict = true +no_implicit_optional = true +plugins = "pydantic.mypy" +python_version = "3.10" +exclude = '^\\.venv/' + +[[tool.mypy.overrides]] +module = [ + "docling_core.*", + "cvat_sdk.*", + "docling.*", + "docling_parse.*", + "docling_ibm_models.*", + "docling_cvat_tools.*", + "pypdfium2.*", + "lxml.*", + "distance.*", + "edit_distance.*", + "datasets.*", + "apted.*", + "nltk.*", + "huggingface_hub.*", + "PIL.*", + "evaluate.*", + "tqdm.*", + "azure.*", + "google.*", + "pycocotools.*", + "pyarrow.*", + "ocrmac.*", + "editdistance.*", + "xlsxwriter.*", + "reportlab.*", + "mlx.*", +] +ignore_missing_imports = true +follow_imports = "skip" + +[tool.flake8] +max-line-length = 88 +extend-ignore = ["E203", "E501"] + +[tool.semantic_release] +# for default values check: +# https://github.com/python-semantic-release/python-semantic-release/blob/v7.32.2/semantic_release/defaults.cfg + +version_source = "tag_only" +branch = "main" + +# configure types which should trigger minor and patch version bumps respectively +# (note that they must be a subset of the configured allowed types): +parser_angular_allowed_types = "build,chore,ci,docs,feat,fix,perf,style,refactor,test" +parser_angular_minor_types = "feat" +parser_angular_patch_types = 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+set(PYBIND11_TAG v3.0.1) + +ExternalProject_Add(extlib_pybind11 + PREFIX extlib_pybind11 + + GIT_REPOSITORY ${PYBIND11_URL} + GIT_TAG ${PYBIND11_TAG} + + UPDATE_COMMAND "" + CONFIGURE_COMMAND "" + + BUILD_COMMAND "" + BUILD_ALWAYS OFF + + INSTALL_DIR ${EXTERNALS_PREFIX_PATH} + INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_directory /include/ ${EXTERNALS_PREFIX_PATH}/include/ + ) + +add_library(pybind11 INTERFACE) +add_custom_target(install_extlib_pybind11 DEPENDS extlib_pybind11) +add_dependencies(pybind11 install_extlib_pybind11) + diff --git a/docling-metric-teds/cmake/extlib_cxxopts.cmake b/docling-metric-teds/cmake/extlib_cxxopts.cmake new file mode 100644 index 0000000..5dba659 --- /dev/null +++ b/docling-metric-teds/cmake/extlib_cxxopts.cmake @@ -0,0 +1,53 @@ +message(STATUS "entering in extlib_cxxopts.cmake") + +set(ext_name_cxxopts "cxxopts") + +if(USE_SYSTEM_DEPS) + message(STATUS "using system-deps in extlib_cxxopts.cmake") + + # this will define the cxxopts target + # find_package(cxxopts REQUIRED) + + # add_library(${ext_name_cxxopts} INTERFACE IMPORTED) + # add_dependencies(${ext_name_cxxopts} cxxopts) + + find_package(PkgConfig) + pkg_check_modules(libcxxopts REQUIRED IMPORTED_TARGET cxxopts) + add_library(${ext_name_cxxopts} ALIAS PkgConfig::libcxxopts) + +else() + message(STATUS "ignoring system-deps extlib_cxxopts.cmake") + + include(ExternalProject) + include(CMakeParseArguments) + + set(CXXOPTS_URL https://github.com/jarro2783/cxxopts.git) + # set(CXXOPTS_TAG v3.2.0) + set(CXXOPTS_TAG v3.3.1) + + ExternalProject_Add(extlib_cxxopts + + PREFIX extlib_cxxopts + + UPDATE_COMMAND "" + GIT_REPOSITORY ${CXXOPTS_URL} + GIT_TAG ${CXXOPTS_TAG} + + BUILD_ALWAYS OFF + + INSTALL_DIR ${EXTERNALS_PREFIX_PATH} + + CMAKE_ARGS \\ + -DCMAKE_POSITION_INDEPENDENT_CODE=ON \\ + -DCMAKE_INSTALL_PREFIX=${EXTERNALS_PREFIX_PATH} + + BUILD_IN_SOURCE ON + LOG_DOWNLOAD ON + ) + + add_library(${ext_name_cxxopts} INTERFACE) + add_dependencies(${ext_name_cxxopts} extlib_cxxopts) + set_target_properties(${ext_name_cxxopts} PROPERTIES INTERFACE_INCLUDE_DIRECTORIES ${EXTERNALS_PREFIX_PATH}/include + ) +endif() + diff --git a/docling-metric-teds/cmake/extlib_json.cmake b/docling-metric-teds/cmake/extlib_json.cmake new file mode 100644 index 0000000..9277ccf --- /dev/null +++ b/docling-metric-teds/cmake/extlib_json.cmake @@ -0,0 +1,42 @@ +message(STATUS "entering in extlib_json.cmake") + +set(ext_name_json "json") + +if(USE_SYSTEM_DEPS) + # this will define the nlohmann_json::nlohmann_json target + find_package(nlohmann_json REQUIRED) + + add_library(${ext_name_json} INTERFACE IMPORTED) + add_dependencies(${ext_name_json} nlohmann_json::nlohmann_json) + +else() + + include(ExternalProject) + include(CMakeParseArguments) + + set(JSON_URL https://github.com/nlohmann/json.git) + # set(JSON_TAG v3.11.3) + set(JSON_TAG v3.12.0) + ExternalProject_Add(extlib_json + + PREFIX extlib_json + + GIT_REPOSITORY ${JSON_URL} + GIT_TAG ${JSON_TAG} + + UPDATE_COMMAND "" + CONFIGURE_COMMAND "" + + BUILD_COMMAND "" + BUILD_ALWAYS OFF + + INSTALL_DIR ${EXTERNALS_PREFIX_PATH} + INSTALL_COMMAND ${CMAKE_COMMAND} -E copy_directory /include/ ${EXTERNALS_PREFIX_PATH}/include/ + ) + + add_library(${ext_name_json} INTERFACE IMPORTED) + add_dependencies(${ext_name_json} extlib_json) + set_target_properties(${ext_name_json} PROPERTIES INTERFACE_INCLUDE_DIRECTORIES ${EXTERNALS_PREFIX_PATH}/include) + +endif() + diff --git a/docling-metric-teds/cmake/extlib_loguru.cmake b/docling-metric-teds/cmake/extlib_loguru.cmake new file mode 100644 index 0000000..8609ac8 --- /dev/null +++ b/docling-metric-teds/cmake/extlib_loguru.cmake @@ -0,0 +1,43 @@ +message(STATUS "entering in extlib_loguru.cmake") + +set(ext_name_loguru "loguru") + +if(USE_SYSTEM_DEPS) + message(STATUS "using system-deps in extlib_loguru.cmake") + + # this will define the loguru target + # find_package(loguru REQUIRED) + + # add_library(${ext_name_loguru} INTERFACE IMPORTED) + # add_dependencies(${ext_name_loguru} loguru) + + find_package(loguru CONFIG REQUIRED) + add_library(${ext_name_loguru} ALIAS loguru::loguru) + +else() + message(STATUS "ignoring system-deps extlib_loguru.cmake") + + include(FetchContent) + + # pin current master, because tag v2.1.0 branch does not have full make support, + # that was introduced later, this SHA also matches the system package .rpm + # https://koji.fedoraproject.org/koji/rpminfo?rpmID=40293153 + FetchContent_Declare(LoguruGitRepo + GIT_REPOSITORY "https://github.com/emilk/loguru" + GIT_TAG "4adaa185883e3c04da25913579c451d3c32cfac1" + ) + + set(LOGURU_WITH_STREAMS TRUE) + set(STACKTRACES TRUE) + set(CMAKE_POSITION_INDEPENDENT_CODE TRUE) + + if(WIN32) + # https://digitalmars.com/rtl/constants.html + # value of _SH_DENYNO is 0x40 = 64 + add_compile_definitions(_SH_DENYNO=64) + endif() + + FetchContent_MakeAvailable(LoguruGitRepo) # defines target 'loguru::loguru' + +endif() + diff --git a/docling-metric-teds/devtools/build_cpp.sh b/docling-metric-teds/devtools/build_cpp.sh new file mode 100755 index 0000000..391f354 --- /dev/null +++ b/docling-metric-teds/devtools/build_cpp.sh @@ -0,0 +1,43 @@ +#!/bin/bash + +# Invariants +readonly BUILD_TYPE="Debug" +readonly BUILD_DIR="build" +readonly INSTALL_DIR="install_root" +readonly EXTERNALS_DIR="externals" + + +########################################################################################### +# Prepare directories +rm -rf "${BUILD_DIR}" "${INSTALL_DIR}" "${EXTERNALS_DIR}" +mkdir "${BUILD_DIR}" + + +########################################################################################### +# Compile + +# cmake \ +# -S . \ +# -B "${BUILD_DIR}" \ +# -DCMAKE_INSTALL_PREFIX="${INSTALL_DIR}" \ +# -DCMAKE_EXPORT_COMPILE_COMMANDS=1 \ +# -DCMAKE_BUILD_TYPE="${BUILD_TYPE}" + +cmake \ + -S . \ + -B "${BUILD_DIR}" \ + -DCMAKE_EXPORT_COMPILE_COMMANDS=1 \ + -DCMAKE_BUILD_TYPE="${BUILD_TYPE}" + +cmake --build "${BUILD_DIR}" -j16 + + +########################################################################################### +# Test +# ctest --test-dir "${BUILD_DIR}" + + +########################################################################################### +# Install +cmake --install "${BUILD_DIR}" + diff --git a/docling-metric-teds/src/command_line/main.cc b/docling-metric-teds/src/command_line/main.cc new file mode 100644 index 0000000..a0f3736 --- /dev/null +++ b/docling-metric-teds/src/command_line/main.cc @@ -0,0 +1,70 @@ +#include + +#include "nlohmann/json.hpp" +#include "loguru.hpp" +#include "cxxopts.hpp" + +#include "teds_manager.h" + + +int main(int argc, char* argv[]) { + int orig_argc = argc; + + // Initialize loguru + loguru::init(argc, argv); + + try { + cxxopts::Options options("docling-metric-teds", "Compute Tree Edit Distance Score"); + + // Define the options + options.add_options() + ("g,gt-file", "Input ground truth file in bracket notation", cxxopts::value()) + ("p,pred-file", "Input predictions file in bracket notation", cxxopts::value()) + ("o,output", "Output file", cxxopts::value()) + ("l,loglevel", "loglevel [error;warning;success;info]", cxxopts::value()) + ("h,help", "Print usage"); + + // Parse command line arguments + auto result = options.parse(argc, argv); + + // TODO: Check if orig_argc is needed + if (orig_argc == 1) { + LOG_S(INFO) << argc; + LOG_F(ERROR, "Either input (-i) or config (-c) must be specified."); + LOG_F(INFO, "%s", options.help().c_str()); + return 1; + } + + // Help option or no arguments provided + if (result.count("help")) { + LOG_F(INFO, "%s", options.help().c_str()); + return 0; + } + + // Load bracket files and compute TEDS + std::string gt_file_fn = result["gt-file"].as(); + std::string pred_file_fn = result["pred-file"].as(); + LOG_F(INFO, "GT file: %s", gt_file_fn.c_str()); + LOG_F(INFO, "Pred file: %s", pred_file_fn.c_str()); + std::string gt_bracket, pred_bracket; + std::ifstream gt_file(gt_file_fn); + std::getline(gt_file, gt_bracket); + gt_file.close(); + std::ifstream pred_file(pred_file_fn); + std::getline(pred_file, pred_bracket); + pred_file.close(); + + // TODO: Measure runtime + // Compute TEDs + docling::TEDSManager manager; + double teds = manager.eval_sample(gt_bracket, pred_bracket); + LOG_F(INFO, "TEDS: %f", teds); + + } catch (const cxxopts::exceptions::exception& e) { + LOG_F(ERROR, "Error parsing options: %s", e.what()); + return 1; + } + + return 0; +} + diff --git a/docling-metric-teds/src/cost_model/unit_cost_model.h b/docling-metric-teds/src/cost_model/unit_cost_model.h new file mode 100644 index 0000000..1007d09 --- /dev/null +++ b/docling-metric-teds/src/cost_model/unit_cost_model.h @@ -0,0 +1,127 @@ +// The MIT License (MIT) +// Copyright (c) 2017 Mateusz Pawlik, Nikolaus Augsten, Daniel Kocher, and +// Thomas Huetter. +// +// Permission is hereby granted, free of charge, to any person obtaining a copy +// of this software and associated documentation files (the "Software"), to deal +// in the Software without restriction, including without limitation the rights +// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +// copies of the Software, and to permit persons to whom the Software is +// furnished to do so, subject to the following conditions: +// +// The above copyright notice and this permission notice shall be included in +// all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +// SOFTWARE. + +/// Contains the declaration of a basic cost model, i.e., the unit costs. + +#pragma once + +#include +#include "../node/node.h" +#include "../label/label_dictionary.h" + +namespace cost_model { + +// TODO: Deprecated. Substitute with UnitCostModelLD. +template +struct UnitCostModel { + int ren(const node::Node