From 96f1ede70fd60e30fa20c8da8ec19f2457fea524 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Erik=20Bj=C3=A4reholt?= Date: Mon, 30 Sep 2024 09:45:36 +0200 Subject: [PATCH 1/2] feat: started working on SWE-bench evals --- gptme/eval/swebench/__init__.py | 15 + gptme/eval/swebench/__main__.py | 4 + gptme/eval/swebench/evaluate.py | 122 +++++ gptme/eval/swebench/main.py | 90 ++++ gptme/eval/swebench/utils.py | 89 ++++ poetry.lock | 759 +++++++++++++++++++++++++++++++- pyproject.toml | 3 + 7 files changed, 1067 insertions(+), 15 deletions(-) create mode 100644 gptme/eval/swebench/__init__.py create mode 100644 gptme/eval/swebench/__main__.py create mode 100644 gptme/eval/swebench/evaluate.py create mode 100644 gptme/eval/swebench/main.py create mode 100644 gptme/eval/swebench/utils.py diff --git a/gptme/eval/swebench/__init__.py b/gptme/eval/swebench/__init__.py new file mode 100644 index 00000000..a3f18b65 --- /dev/null +++ b/gptme/eval/swebench/__init__.py @@ -0,0 +1,15 @@ +from .utils import ( + load_instances, + load_instance, + setup_swebench_repo, + get_file_spans_from_patch, +) +from .evaluate import run_swebench_evaluation + +__all__ = [ + "load_instances", + "load_instance", + "setup_swebench_repo", + "get_file_spans_from_patch", + "run_swebench_evaluation", +] diff --git a/gptme/eval/swebench/__main__.py b/gptme/eval/swebench/__main__.py new file mode 100644 index 00000000..40e2b013 --- /dev/null +++ b/gptme/eval/swebench/__main__.py @@ -0,0 +1,4 @@ +from .main import main + +if __name__ == "__main__": + main() diff --git a/gptme/eval/swebench/evaluate.py b/gptme/eval/swebench/evaluate.py new file mode 100644 index 00000000..9e80ff72 --- /dev/null +++ b/gptme/eval/swebench/evaluate.py @@ -0,0 +1,122 @@ +import json +import logging +import time + +from gptme.eval.agents import Agent +from gptme.eval.types import CaseResult, EvalResult + +from .utils import get_file_spans_from_patch, load_instances, setup_swebench_repo + +logger = logging.getLogger(__name__) + + +def run_swebench_evaluation( + agent: Agent, + dataset_name: str = "princeton-nlp/SWE-bench_Lite", + split: str = "test", + instance_ids: list[str] | None = None, + repo_base_dir: str | None = None, +) -> list[EvalResult]: + logger.info( + f"Starting SWE-bench evaluation with dataset: {dataset_name}, split: {split}" + ) + instances = load_instances(dataset_name, split) + + if instance_ids: + logger.info(f"Filtering instances to: {instance_ids}") + instances = {id: instances[id] for id in instance_ids if id in instances} + + logger.info(f"Evaluating {len(instances)} instances") + + results = [] + + for instance_id, instance in instances.items(): + logger.info(f"Evaluating instance: {instance_id}") + result = evaluate_instance(agent, instance, repo_base_dir) + results.append(result) + + logger.info(f"Completed evaluation of {len(results)} instances") + return results + + +def evaluate_instance( + agent: Agent, instance: dict, repo_base_dir: str | None +) -> EvalResult: + instance_id = instance["instance_id"] + problem_statement = instance["problem_statement"] + + logger.info(f"Evaluating instance: {instance_id}") + logger.debug(f"Problem statement: {problem_statement}") + + start_time = time.time() + try: + logger.info(f"Executing agent for instance {instance_id}") + repo_dir = setup_swebench_repo(instance, repo_base_dir) + files = agent.act({"repo_dir": repo_dir}, problem_statement) + except Exception as e: + logger.error(f"Error during agent execution for instance {instance_id}: {e}") + return EvalResult( + name=instance_id, + status="error", + results=[], + timings={"gen": time.time() - start_time, "run": 0, "eval": 0}, + gen_stdout="", + gen_stderr=str(e), + run_stdout="", + run_stderr="", + ) + + gen_time = time.time() - start_time + logger.info( + f"Agent execution completed for instance {instance_id} in {gen_time:.2f} seconds" + ) + + # Evaluate the result + logger.info(f"Evaluating patch for instance {instance_id}") + eval_start = time.time() + diff = str(files.get("diff", "")) + passed = evaluate_patch(instance, diff) + eval_time = time.time() - eval_start + + logger.info(f"Evaluation completed for instance {instance_id}. Passed: {passed}") + + return EvalResult( + name=instance_id, + status="success", + results=[ + CaseResult(name="patch_correctness", passed=passed, duration=eval_time) + ], + timings={"gen": gen_time, "run": 0, "eval": eval_time}, + gen_stdout="", + gen_stderr="", + run_stdout=diff, + run_stderr="", + ) + + +def evaluate_patch(instance: dict, generated_patch: str) -> bool: + logger.debug(f"Instance keys: {instance.keys()}") + logger.debug(f"Instance content: {json.dumps(instance, indent=2)}") + + if "expected_spans" not in instance: + logger.warning( + "'expected_spans' not found in instance data. Using 'patch' instead." + ) + expected_patch = instance.get("patch", "") + logger.debug(f"Expected patch: {expected_patch}") + logger.debug(f"Generated patch: {generated_patch}") + return expected_patch.strip() == generated_patch.strip() + + expected_spans = instance["expected_spans"] + generated_spans = get_file_spans_from_patch(generated_patch) + + logger.debug(f"Expected spans: {expected_spans}") + logger.debug(f"Generated spans: {generated_spans}") + + for file_path in expected_spans.keys(): + if file_path not in generated_spans: + logger.info(f"File {file_path} not found in generated patch") + return False + + logger.info("All expected files found in generated patch") + return True diff --git a/gptme/eval/swebench/main.py b/gptme/eval/swebench/main.py new file mode 100644 index 00000000..f2ce1633 --- /dev/null +++ b/gptme/eval/swebench/main.py @@ -0,0 +1,90 @@ +import logging + +import click + +from ..agents import GPTMe +from ..main import write_results +from . import run_swebench_evaluation + +# Configure logging +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s - %(levelname)s - %(name)s - %(message)s", +) +logger = logging.getLogger(__name__) + + +@click.command() +@click.option( + "--model", + "-m", + multiple=True, + help="Model to use, can be passed multiple times.", +) +@click.option( + "--dataset", + default="princeton-nlp/SWE-bench_Lite", + help="SWE-bench dataset to use", +) +@click.option( + "--split", + default="test", + help="SWE-bench dataset split to use", +) +@click.option( + "--instance", + "-i", + multiple=True, + help="Specific SWE-bench instance IDs to evaluate", +) +@click.option( + "--repo-base-dir", + help="Base directory for repositories", +) +@click.option( + "--verbose", + "-v", + is_flag=True, + help="Increase output verbosity", +) +def main( + model: list[str], + dataset: str, + split: str, + instance: list[str], + repo_base_dir: str, + verbose: bool, +): + """Run SWE-bench evaluation for gptme.""" + if verbose: + logger.setLevel(logging.DEBUG) + logger.debug("Verbose output enabled") + + if not model: + model = [ + "openai/gpt-4o", + "anthropic/claude-3-5-sonnet-20240620", + ] + + print("=== Running SWE-bench evaluation ===") + swebench_results = {} + for m in model: + agent = GPTMe(model=m) + results = run_swebench_evaluation( + agent, + dataset_name=dataset, + split=split, + instance_ids=instance if instance else None, + repo_base_dir=repo_base_dir, + ) + swebench_results[m] = results + + print("\n=== SWE-bench Results ===") + # TODO: Implement custom result printing for SWE-bench + + # Write SWE-bench results to CSV + write_results(swebench_results) + + +if __name__ == "__main__": + main() diff --git a/gptme/eval/swebench/utils.py b/gptme/eval/swebench/utils.py new file mode 100644 index 00000000..ca4be8af --- /dev/null +++ b/gptme/eval/swebench/utils.py @@ -0,0 +1,89 @@ +import os +import logging +import subprocess + +from datasets import load_dataset + +logger = logging.getLogger(__name__) + + +from datasets import DownloadMode + + +def load_instances( + dataset_name: str = "princeton-nlp/SWE-bench_Lite", split: str = "test" +) -> dict[str, dict]: + data = load_dataset( + dataset_name, split=split, download_mode=DownloadMode.FORCE_REDOWNLOAD + ) + return {d["instance_id"]: d for d in data} + + +def load_instance( + instance_id: str, + dataset_name: str = "princeton-nlp/SWE-bench_Lite", + split: str = "test", +) -> dict: + data = load_instances(dataset_name, split=split) + return data[instance_id] + + +def setup_swebench_repo(instance_data: dict, repo_base_dir: str | None = None) -> str: + if not repo_base_dir: + repo_base_dir = os.getenv("REPO_DIR", "/tmp/repos") + + repo_dir_name = instance_data["repo"].replace("/", "__") + github_repo_path = f"swe-bench/{repo_dir_name}" + return setup_github_repo( + repo=github_repo_path, + base_commit=instance_data["base_commit"], + base_dir=repo_base_dir, + ) + + +def get_file_spans_from_patch(patch: str) -> dict[str, list[str]]: + file_spans: dict[str, list[str]] = {} + current_file: str | None = None + + for line in patch.split("\n"): + if line.startswith("diff --git"): + current_file = line.split()[-1][2:] # Extract the file path + file_spans[current_file] = [] + + return file_spans + + +def setup_github_repo(repo: str, base_commit: str, base_dir: str | None = None) -> str: + if base_dir is None: + base_dir = os.getenv("REPO_DIR", "/tmp/repos") + + repo_dir = os.path.join(base_dir, repo.replace("/", "_")) + + try: + if not os.path.exists(repo_dir): + logger.info(f"Cloning repository {repo} to {repo_dir}") + os.makedirs(repo_dir, exist_ok=True) + subprocess.run( + ["git", "clone", f"https://github.com/{repo}.git", repo_dir], + check=True, + capture_output=True, + text=True, + ) + + logger.info(f"Checking out commit {base_commit} in {repo_dir}") + os.chdir(repo_dir) + subprocess.run( + ["git", "fetch", "origin"], check=True, capture_output=True, text=True + ) + subprocess.run( + 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"^3.10" @@ -41,6 +42,8 @@ anthropic = "^0.34.0" # evals multiprocessing-logging = "^0.3.4" +datasets = "^2.14.0" +fsspec = "^2023.9.2" # https://stackoverflow.com/questions/77433096/notimplementederror-loading-a-dataset-cached-in-a-localfilesystem-is-not-suppor # datascience essentials matplotlib = {version = "*", optional=true} From 4e9b48a07eaa8ba54c35e3a23156aac2ae4656aa Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Erik=20Bj=C3=A4reholt?= Date: Wed, 2 Oct 2024 10:40:19 +0200 Subject: [PATCH 2/2] fix: typing fix --- gptme/eval/swebench/main.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/gptme/eval/swebench/main.py b/gptme/eval/swebench/main.py index f2ce1633..436c8d13 100644 --- a/gptme/eval/swebench/main.py +++ b/gptme/eval/swebench/main.py @@ -1,6 +1,7 @@ import logging import click +from gptme.eval.types import EvalResult from ..agents import GPTMe from ..main import write_results @@ -70,7 +71,7 @@ def main( swebench_results = {} for m in model: agent = GPTMe(model=m) - results = run_swebench_evaluation( + results: list[EvalResult] = run_swebench_evaluation( agent, dataset_name=dataset, split=split,