From 9bd03ae2d12af2834bb059ad4a529790abc8ca18 Mon Sep 17 00:00:00 2001 From: Alexander Kovrigin Date: Fri, 26 Jul 2024 18:48:07 +0200 Subject: [PATCH] SWE-Bench evaluation --- code_editing/agents/run.py | 2 +- code_editing/data_sources/hf_source.py | 1 + code_editing/metrics/__init__.py | 2 + code_editing/metrics/swe_bench_metric.py | 74 +++ code_editing/scripts/conf/evaluation.yaml | 3 + format.sh | 3 + poetry.lock | 756 +++++++++++++++------- pyproject.toml | 7 +- 8 files changed, 594 insertions(+), 254 deletions(-) create mode 100644 code_editing/metrics/swe_bench_metric.py create mode 100755 format.sh diff --git a/code_editing/agents/run.py b/code_editing/agents/run.py index 767f63d..92cc237 100644 --- a/code_editing/agents/run.py +++ b/code_editing/agents/run.py @@ -1,7 +1,7 @@ import collections import os from enum import Enum -from typing import Dict, TypedDict, Union, Type +from typing import Dict, Type, TypedDict, Union from hydra.core.hydra_config import HydraConfig diff --git a/code_editing/data_sources/hf_source.py b/code_editing/data_sources/hf_source.py index 7a88763..d91a694 100644 --- a/code_editing/data_sources/hf_source.py +++ b/code_editing/data_sources/hf_source.py @@ -33,6 +33,7 @@ def __init__( super().__init__(extractor, base_data_path) self._dataset = load_dataset(hub_name, config, split=split, cache_dir=cache_dir) self.name = hub_name + self.split = split self._hub_name = hub_name # Initialize the git repositories diff --git a/code_editing/metrics/__init__.py b/code_editing/metrics/__init__.py index c60fcd4..d8f9578 100644 --- a/code_editing/metrics/__init__.py +++ b/code_editing/metrics/__init__.py @@ -13,6 +13,7 @@ PyScopeViewLocalizationMetric, TotalContextMetric, ) +from .swe_bench_metric import SWEBenchMetric __all__ = [ "CodeBertScoreMetric", @@ -32,4 +33,5 @@ "PyScopeViewLocalizationMetric", "TotalContextMetric", "GPT4ComparisonMetric", + "SWEBenchMetric", ] diff --git a/code_editing/metrics/swe_bench_metric.py b/code_editing/metrics/swe_bench_metric.py new file mode 100644 index 0000000..f8a1fd8 --- /dev/null +++ b/code_editing/metrics/swe_bench_metric.py @@ -0,0 +1,74 @@ +import json +import os +import subprocess +import tempfile +import uuid +from typing import List + +import pandas as pd + +from code_editing.data_sources import SWEBenchDataSource +from code_editing.data_sources.base_source import CEDataSource +from code_editing.metrics.base_metric import BaseMetric + + +class SWEBenchMetric(BaseMetric): + """ + This class implements the pass rate metric using the SWE-Bench evaluation harness. + """ + + def __init__(self, data_source: CEDataSource, max_workers: int = 12, **kwargs): + self.max_workers = max_workers + + if not isinstance(data_source, SWEBenchDataSource): + raise ValueError("SWEBench pass rate calculations can only be made with SWEBenchDataSource") + self.data_source: SWEBenchDataSource = data_source + + def _score(self, _: List[str], __: List[str], df: pd.DataFrame): + model_name = df["model_name"].iloc[0] if "model_name" in df.columns else "unknown" + swebench_obj, instance_ids = self.data_source.to_swebench_results(df, model_name) + + # create a temporary file with the model predictions + with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".json") as f: + json.dump(swebench_obj, f) + f.close() + swebench_path = f.name + unique_hex = uuid.uuid4().hex[:8] + + # We need docker to run the evaluation harness + # HACK: To give access to the docker socket, we can use the following command: + # sudo chmod 666 /var/run/docker.sock + cmd = [ + "python", + "-m", + "swebench.harness.run_evaluation", + "--dataset_name", + self.data_source.name, + "--split", + self.data_source.split, + "--predictions_path", + swebench_path, + "--max_workers", + str(self.max_workers), + "--run_id", + unique_hex, + ] + + # run the evaluation harness + subprocess.run(cmd, check=True) + + # read the results + results_path = f"{model_name}.{unique_hex}.json" + with open(results_path) as f: + results = json.load(f) + + # remove the temporary files + os.remove(swebench_path) + os.remove(results_path) + + # calculate the pass rate + total = len(df) + n_resolved = results.get("resolved_instances", 0) + results["pass_rate"] = n_resolved / total if total > 0 else 0 + + return results diff --git a/code_editing/scripts/conf/evaluation.yaml b/code_editing/scripts/conf/evaluation.yaml index 4f94e4c..110d07a 100644 --- a/code_editing/scripts/conf/evaluation.yaml +++ b/code_editing/scripts/conf/evaluation.yaml @@ -46,6 +46,9 @@ metrics: total_context: _target_: "code_editing.metrics.TotalContextMetric" add_sample_metrics: true + swebench: + _target_: "code_editing.metrics.SWEBenchMetric" + max_workers: 32 wandb: project: lca-code-editing diff --git a/format.sh b/format.sh new file mode 100755 index 0000000..50963e4 --- /dev/null +++ b/format.sh @@ -0,0 +1,3 @@ +#!/usr/bin/env sh +black -l 120 -t py310 . +isort --profile black . diff --git a/poetry.lock b/poetry.lock index d383762..5000d9b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -509,6 +509,17 @@ files = [ [package.dependencies] pycparser = "*" +[[package]] +name = "cfgv" +version = "3.4.0" +description = "Validate configuration and produce human readable error messages." +optional = false +python-versions = ">=3.8" +files = [ + {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"}, + {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"}, +] + [[package]] name = "chardet" version = "5.2.0" @@ -935,6 +946,17 @@ files = [ {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"}, ] +[[package]] +name = "distlib" +version = "0.3.8" +description = "Distribution utilities" +optional = false +python-versions = "*" +files = [ + {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"}, + {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"}, +] + [[package]] name = "distro" version = "1.9.0" @@ -946,6 +968,28 @@ files = [ {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"}, ] +[[package]] +name = "docker" +version = "7.1.0" +description = "A Python library for the Docker Engine API." +optional = false +python-versions = ">=3.8" +files = [ + {file = "docker-7.1.0-py3-none-any.whl", hash = "sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0"}, + {file = "docker-7.1.0.tar.gz", hash = "sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c"}, +] + +[package.dependencies] +pywin32 = {version = ">=304", markers = "sys_platform == \"win32\""} +requests = ">=2.26.0" +urllib3 = ">=1.26.0" + +[package.extras] +dev = ["coverage (==7.2.7)", "pytest (==7.4.2)", "pytest-cov (==4.1.0)", "pytest-timeout (==2.1.0)", "ruff (==0.1.8)"] +docs = ["myst-parser (==0.18.0)", "sphinx (==5.1.1)"] +ssh = ["paramiko (>=2.4.3)"] +websockets = ["websocket-client (>=1.3.0)"] + [[package]] name = "docker-pycreds" version = "0.4.0" @@ -997,13 +1041,13 @@ torch = ["torch"] [[package]] name = "exceptiongroup" -version = "1.2.1" +version = "1.2.2" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" files = [ - {file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"}, - {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"}, + {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"}, + {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"}, ] [package.extras] @@ -1073,6 +1117,23 @@ files = [ {file = "Farama_Notifications-0.0.4-py3-none-any.whl", hash = "sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae"}, ] +[[package]] +name = "fastcore" +version = "1.5.54" +description = "Python supercharged for fastai development" +optional = false +python-versions = ">=3.7" +files = [ + {file = "fastcore-1.5.54-py3-none-any.whl", hash = "sha256:292b267b128ac910dc7a2f3a7bfcc2c04843a370e09f8439227ec962499a8d65"}, + {file = "fastcore-1.5.54.tar.gz", hash = "sha256:3f23dfadd77428be99558fdad66bf04c79a9c626e694c7404ede816ed8372987"}, +] + +[package.dependencies] +packaging = "*" + +[package.extras] +dev = ["matplotlib", "nbclassic", "nbdev (>=0.2.39)", "numpy", "pandas", "pillow", "torch"] + [[package]] name = "fastjsonschema" version = "2.20.0" @@ -1303,6 +1364,25 @@ smb = ["smbprotocol"] ssh = ["paramiko"] tqdm = ["tqdm"] +[[package]] +name = "ghapi" +version = "1.0.5" +description = "A python client for the GitHub API" +optional = false +python-versions = ">=3.7" +files = [ + {file = "ghapi-1.0.5-py3-none-any.whl", hash = "sha256:24a851b7a256861f173437c807701beac3857a84979067ddc25a8555868ce6dc"}, + {file = "ghapi-1.0.5.tar.gz", hash = "sha256:57f170d50d4e6cbf475d234056c54b1ea7bb917b96b0a19798f6127d8a0c40b1"}, +] + +[package.dependencies] +fastcore = ">=1.5.4" +packaging = "*" +pip = "*" + +[package.extras] +dev = ["jsonref", "matplotlib"] + [[package]] name = "gitdb" version = "4.0.11" @@ -1509,13 +1589,13 @@ socks = ["socksio (==1.*)"] [[package]] name = "huggingface-hub" -version = "0.23.4" +version = "0.23.5" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" files = [ - {file = "huggingface_hub-0.23.4-py3-none-any.whl", hash = "sha256:3a0b957aa87150addf0cc7bd71b4d954b78e749850e1e7fb29ebbd2db64ca037"}, - {file = "huggingface_hub-0.23.4.tar.gz", hash = "sha256:35d99016433900e44ae7efe1c209164a5a81dbbcd53a52f99c281dcd7ce22431"}, + {file = "huggingface_hub-0.23.5-py3-none-any.whl", hash = "sha256:d7a7d337615e11a45cc14a0ce5a605db6b038dc24af42866f731684825226e90"}, + {file = "huggingface_hub-0.23.5.tar.gz", hash = "sha256:67a9caba79b71235be3752852ca27da86bd54311d2424ca8afdb8dda056edf98"}, ] [package.dependencies] @@ -1571,6 +1651,20 @@ antlr4-python3-runtime = "==4.9.*" omegaconf = ">=2.2,<2.4" packaging = "*" +[[package]] +name = "identify" +version = "2.6.0" +description = "File identification library for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "identify-2.6.0-py2.py3-none-any.whl", hash = "sha256:e79ae4406387a9d300332b5fd366d8994f1525e8414984e1a59e058b2eda2dd0"}, + {file = "identify-2.6.0.tar.gz", hash = "sha256:cb171c685bdc31bcc4c1734698736a7d5b6c8bf2e0c15117f4d469c8640ae5cf"}, +] + +[package.extras] +license = ["ukkonen"] + [[package]] name = "idna" version = "3.7" @@ -1994,13 +2088,13 @@ jupyter-server = ">=1.1.2" [[package]] name = "jupyter-server" -version = "2.14.1" +version = "2.14.2" description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications." optional = false python-versions = ">=3.8" files = [ - {file = "jupyter_server-2.14.1-py3-none-any.whl", hash = "sha256:16f7177c3a4ea8fe37784e2d31271981a812f0b2874af17339031dc3510cc2a5"}, - {file = "jupyter_server-2.14.1.tar.gz", hash = "sha256:12558d158ec7a0653bf96cc272bc7ad79e0127d503b982ed144399346694f726"}, + {file = "jupyter_server-2.14.2-py3-none-any.whl", hash = "sha256:47ff506127c2f7851a17bf4713434208fc490955d0e8632e95014a9a9afbeefd"}, + {file = "jupyter_server-2.14.2.tar.gz", hash = "sha256:66095021aa9638ced276c248b1d81862e4c50f292d575920bbe960de1c56b12b"}, ] [package.dependencies] @@ -2049,13 +2143,13 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (> [[package]] name = "jupyterlab" -version = "4.2.3" +version = 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"jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.1.post2)", "matplotlib (==3.8.3)", "nbconvert (>=7.0.0)", "pandas (==2.2.1)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"] test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"] -upgrade-extension = ["copier (>=8,<10)", "jinja2-time (<0.3)", "pydantic (<2.0)", "pyyaml-include (<2.0)", "tomli-w (<2.0)"] +upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)", "pyyaml-include (<3.0)", "tomli-w (<2.0)"] [[package]] name = "jupyterlab-pygments" @@ -2094,13 +2188,13 @@ files = [ [[package]] name = "jupyterlab-server" -version = "2.27.2" +version = "2.27.3" description = "A set of server components for JupyterLab and JupyterLab like applications." optional = false python-versions = ">=3.8" files = [ - {file = 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"sha256:8742f363d2890854501e0075af04fcb470600f201dec251c9bd5841e1990e73d"}, + {file = "langchain-0.2.11-py3-none-any.whl", hash = "sha256:5a7a8b4918f3d3bebce9b4f23b92d050699e6f7fb97591e8941177cf07a260a2"}, + {file = "langchain-0.2.11.tar.gz", hash = "sha256:d7a9e4165f02dca0bd78addbc2319d5b9286b5d37c51d784124102b57e9fd297"}, ] [package.dependencies] aiohttp = ">=3.8.3,<4.0.0" async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""} -langchain-core = ">=0.2.12,<0.3.0" +langchain-core = ">=0.2.23,<0.3.0" langchain-text-splitters = ">=0.2.0,<0.3.0" langsmith = ">=0.1.17,<0.2.0" numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""} @@ -2267,20 +2361,20 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" [[package]] name = "langchain-community" -version = "0.2.7" +version = "0.2.10" description = "Community contributed LangChain integrations." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = 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