From 463d4e9a4605d8367ce4b2021f653e3ef4c2ac85 Mon Sep 17 00:00:00 2001 From: Nan Jiang <59716405+nanjiangwill@users.noreply.github.com> Date: Fri, 22 Nov 2024 14:49:45 -0500 Subject: [PATCH] eval: add commit0 benchmark (#5153) Co-authored-by: Xingyao Wang Co-authored-by: Xingyao Wang --- .gitignore | 1 + evaluation/commit0_bench/README.md | 82 + evaluation/commit0_bench/run_infer.py | 606 +++++ .../scripts/cleanup_remote_runtime.sh | 33 + evaluation/commit0_bench/scripts/run_infer.sh | 125 + poetry.lock | 2127 +++++++++-------- pyproject.toml | 5 +- 7 files changed, 1933 insertions(+), 1046 deletions(-) create mode 100644 evaluation/commit0_bench/README.md create mode 100644 evaluation/commit0_bench/run_infer.py create mode 100755 evaluation/commit0_bench/scripts/cleanup_remote_runtime.sh create mode 100755 evaluation/commit0_bench/scripts/run_infer.sh diff --git a/.gitignore b/.gitignore index 6d31083314..b88b0cb607 100644 --- a/.gitignore +++ b/.gitignore @@ -175,6 +175,7 @@ evaluation/gaia/data evaluation/gorilla/data evaluation/toolqa/data evaluation/scienceagentbench/benchmark +evaluation/commit0_bench/repos # openhands resolver output/ diff --git a/evaluation/commit0_bench/README.md b/evaluation/commit0_bench/README.md new file mode 100644 index 0000000000..fdfd5812a8 --- /dev/null +++ b/evaluation/commit0_bench/README.md @@ -0,0 +1,82 @@ +# Commit0 Evaluation with OpenHands + +This folder contains the evaluation harness that we built on top of the original [Commit0](https://commit-0.github.io/) ([paper](TBD)). + +The evaluation consists of three steps: + +1. Environment setup: [install python environment](../README.md#development-environment), [configure LLM config](../README.md#configure-openhands-and-your-llm). +2. [Run Evaluation](#run-inference-on-commit0-instances): Generate a edit patch for each Commit0 Repo, and get the evaluation results + +## Setup Environment and LLM Configuration + +Please follow instruction [here](../README.md#setup) to setup your local development environment and LLM. + +## OpenHands Commit0 Instance-level Docker Support + +OpenHands supports using the Commit0 Docker for **[inference](#run-inference-on-commit0-instances). +This is now the default behavior. + + +## Run Inference on Commit0 Instances + +Make sure your Docker daemon is running, and you have ample disk space (at least 200-500GB, depends on the Commit0 set you are running on) for the [instance-level docker image](#openhands-commit0-instance-level-docker-support). + +When the `run_infer.sh` script is started, it will automatically pull the `lite` split in Commit0. For example, for instance ID `commit-0/minitorch`, it will try to pull our pre-build docker image `wentingzhao/minitorch` from DockerHub. This image will be used create an OpenHands runtime image where the agent will operate on. + +```bash +./evaluation/commit0_bench/scripts/run_infer.sh [repo_split] [model_config] [git-version] [agent] [eval_limit] [max_iter] [num_workers] [dataset] [dataset_split] + +# Example +./evaluation/commit0_bench/scripts/run_infer.sh lite llm.eval_sonnet HEAD CodeActAgent 16 100 8 wentingzhao/commit0_combined test +``` + +where `model_config` is mandatory, and the rest are optional. + +- `repo_split`, e.g. `lite`, is the split of the Commit0 dataset you would like to evaluate on. Available options are `lite`, `all` and each individual repo. +- `model_config`, e.g. `eval_gpt4_1106_preview`, is the config group name for your +LLM settings, as defined in your `config.toml`. +- `git-version`, e.g. `HEAD`, is the git commit hash of the OpenHands version you would +like to evaluate. It could also be a release tag like `0.6.2`. +- `agent`, e.g. `CodeActAgent`, is the name of the agent for benchmarks, defaulting +to `CodeActAgent`. +- `eval_limit`, e.g. `10`, limits the evaluation to the first `eval_limit` instances. By +default, the script evaluates the `lite` split of the Commit0 dataset (16 repos). Note: +in order to use `eval_limit`, you must also set `agent`. +- `max_iter`, e.g. `20`, is the maximum number of iterations for the agent to run. By +default, it is set to 30. +- `num_workers`, e.g. `3`, is the number of parallel workers to run the evaluation. By +default, it is set to 1. +- `dataset`, a huggingface dataset name. e.g. `wentingzhao/commit0_combined`, specifies which dataset to evaluate on. +- `dataset_split`, split for the huggingface dataset. Notice only `test` is supported for Commit0. + +Note that the `USE_INSTANCE_IMAGE` environment variable is always set to `true` for Commit0. + +Let's say you'd like to run 10 instances using `llm.eval_sonnet` and CodeActAgent, + +then your command would be: + +```bash +./evaluation/commit0_bench/scripts/run_infer.sh lite llm.eval_sonnet HEAD CodeActAgent 10 30 1 wentingzhao/commit0_combined test +``` + +### Run Inference on `RemoteRuntime` (experimental) + +This is in limited beta. Contact Xingyao over slack if you want to try this out! + +```bash +./evaluation/commit0_bench/scripts/run_infer.sh [repo_split] [model_config] [git-version] [agent] [eval_limit] [max_iter] [num_workers] [dataset] [dataset_split] + +# Example - This runs evaluation on CodeActAgent for 10 instances on "wentingzhao/commit0_combined"'s test set, with max 30 iteration per instances, with 1 number of workers running in parallel +ALLHANDS_API_KEY="YOUR-API-KEY" RUNTIME=remote SANDBOX_REMOTE_RUNTIME_API_URL="https://runtime.eval.all-hands.dev" EVAL_DOCKER_IMAGE_PREFIX="docker.io/wentingzhao" \ +./evaluation/commit0_bench/scripts/run_infer.sh lite llm.eval_sonnet HEAD CodeActAgent 10 30 1 wentingzhao/commit0_combined test +``` + +To clean-up all existing runtime you've already started, run: + +```bash +ALLHANDS_API_KEY="YOUR-API-KEY" ./evaluation/commit0_bench/scripts/cleanup_remote_runtime.sh +``` + +### Specify a subset of tasks to run infer + +If you would like to specify a list of tasks you'd like to benchmark on, you just need to pass selected repo through `repo_split` option. diff --git a/evaluation/commit0_bench/run_infer.py b/evaluation/commit0_bench/run_infer.py new file mode 100644 index 0000000000..ef2df02031 --- /dev/null +++ b/evaluation/commit0_bench/run_infer.py @@ -0,0 +1,606 @@ +import asyncio +import json +import os +from collections import Counter +from typing import Any + +import pandas as pd +from commit0.harness.constants import SPLIT +from datasets import load_dataset + +import openhands.agenthub +from evaluation.utils.shared import ( + EvalException, + EvalMetadata, + EvalOutput, + assert_and_raise, + codeact_user_response, + make_metadata, + prepare_dataset, + reset_logger_for_multiprocessing, + run_evaluation, + update_llm_config_for_completions_logging, +) +from openhands.controller.state.state import State +from openhands.core.config import ( + AgentConfig, + AppConfig, + SandboxConfig, + get_llm_config_arg, + get_parser, +) +from openhands.core.logger import openhands_logger as logger +from openhands.core.main import create_runtime, run_controller +from openhands.events.action import CmdRunAction, MessageAction +from openhands.events.observation import CmdOutputObservation, ErrorObservation +from openhands.events.serialization.event import event_to_dict +from openhands.runtime.base import Runtime +from openhands.utils.async_utils import call_async_from_sync +from openhands.utils.shutdown_listener import sleep_if_should_continue + +USE_HINT_TEXT = os.environ.get('USE_HINT_TEXT', 'false').lower() == 'true' +USE_INSTANCE_IMAGE = os.environ.get('USE_INSTANCE_IMAGE', 'false').lower() == 'true' +RUN_WITH_BROWSING = os.environ.get('RUN_WITH_BROWSING', 'false').lower() == 'true' + +AGENT_CLS_TO_FAKE_USER_RESPONSE_FN = { + 'CodeActAgent': codeact_user_response, + 'CodeActCommit0Agent': codeact_user_response, +} + + +def _get_commit0_workspace_dir_name(instance: pd.Series) -> str: + return instance['repo'].split('/')[1] + + +def get_instruction(instance: pd.Series, metadata: EvalMetadata): + workspace_dir_name = _get_commit0_workspace_dir_name(instance) + # Prepare instruction + test_cmd = instance['test']['test_cmd'] + test_dir = instance['test']['test_dir'] + # Instruction based on Anthropic's official trajectory + # https://github.com/eschluntz/swe-bench-experiments/tree/main/evaluation/verified/20241022_tools_claude-3-5-sonnet-updated/trajs + instruction = ( + '\n' + f'/workspace/{workspace_dir_name}\n' + '\n' + f"I've uploaded a python code repository in the directory {workspace_dir_name}. Here is your task:\n\n" + 'Here is your task:\n\n' + ' You need to complete the implementations for all functions (i.e., those with pass\n' + ' statements) and pass the unit tests.\n\n' + ' Do not change the names of existing functions or classes, as they may be referenced\n' + ' from other code like unit tests, etc.\n\n' + ' When you generate code, you must maintain the original formatting of the function\n' + ' stubs (such as whitespaces), otherwise we will not able to search/replace blocks\n' + ' for code modifications, and therefore you will receive a score of 0 for your generated\n' + ' code.' + '\n\n' + 'Here is the command to run the unit tests:\n' + '\n' + f'{test_cmd} {test_dir}\n' + '\n\n' + 'Make a local git commit for each agent step for all code changes. If there is not change in current step, do not make a commit.' + ) + + if RUN_WITH_BROWSING: + instruction += ( + '\n' + 'You SHOULD NEVER attempt to browse the web. ' + '\n' + ) + return instruction + + +# TODO: migrate all swe-bench docker to ghcr.io/openhands +DOCKER_IMAGE_PREFIX = os.environ.get( + 'EVAL_DOCKER_IMAGE_PREFIX', 'docker.io/wentingzhao/' +) +logger.info(f'Using docker image prefix: {DOCKER_IMAGE_PREFIX}') + + +def get_instance_docker_image(repo_name: str) -> str: + return (DOCKER_IMAGE_PREFIX.rstrip('/') + '/' + repo_name).lower() + ':v0' + + +def get_config( + instance: pd.Series, + metadata: EvalMetadata, +) -> AppConfig: + # COMMIT0_CONTAINER_IMAGE = 'wentingzhao/' + assert USE_INSTANCE_IMAGE + # We use a different instance image for the each instance of commit0 eval + repo_name = instance['repo'].split('/')[1] + base_container_image = get_instance_docker_image(repo_name) + logger.info( + f'Using instance container image: {base_container_image}. ' + f'Please make sure this image exists. ' + f'Submit an issue on https://github.com/All-Hands-AI/OpenHands if you run into any issues.' + ) + # else: + # raise + # base_container_image = SWE_BENCH_CONTAINER_IMAGE + # logger.info(f'Using swe-bench container image: {base_container_image}') + + config = AppConfig( + default_agent=metadata.agent_class, + run_as_openhands=False, + max_iterations=metadata.max_iterations, + runtime=os.environ.get('RUNTIME', 'eventstream'), + sandbox=SandboxConfig( + base_container_image=base_container_image, + enable_auto_lint=True, + use_host_network=False, + # large enough timeout, since some testcases take very long to run + timeout=300, + api_key=os.environ.get('ALLHANDS_API_KEY', None), + remote_runtime_api_url=os.environ.get('SANDBOX_REMOTE_RUNTIME_API_URL'), + keep_runtime_alive=False, + remote_runtime_init_timeout=3600, + ), + # do not mount workspace + workspace_base=None, + workspace_mount_path=None, + ) + config.set_llm_config( + update_llm_config_for_completions_logging( + metadata.llm_config, metadata.eval_output_dir, instance['instance_id'] + ) + ) + agent_config = AgentConfig( + codeact_enable_jupyter=False, + codeact_enable_browsing=RUN_WITH_BROWSING, + codeact_enable_llm_editor=False, + ) + config.set_agent_config(agent_config) + return config + + +def initialize_runtime( + runtime: Runtime, + instance: pd.Series, # this argument is not required +): + """Initialize the runtime for the agent. + + This function is called before the runtime is used to run the agent. + """ + logger.info('-' * 30) + logger.info('BEGIN Runtime Initialization Fn') + logger.info('-' * 30) + workspace_dir_name = _get_commit0_workspace_dir_name(instance) + obs: CmdOutputObservation + + action = CmdRunAction( + command=f'git clone -b commit0_combined https://github.com/{instance["repo"]}.git' + ) + action.timeout = 600 + logger.info(action, extra={'msg_type': 'ACTION'}) + obs = runtime.run_action(action) + logger.info(obs, extra={'msg_type': 'OBSERVATION'}) + assert_and_raise( + obs.exit_code == 0, + f'Failed to git clone -b commit0_combined https://github.com/{instance["repo"]}.git: {str(obs)}', + ) + + action = CmdRunAction(command=f'cd /workspace/{workspace_dir_name}') + action.timeout = 600 + logger.info(action, extra={'msg_type': 'ACTION'}) + obs = runtime.run_action(action) + logger.info(obs, extra={'msg_type': 'OBSERVATION'}) + assert_and_raise( + obs.exit_code == 0, + f'Failed to cd to /workspace/{workspace_dir_name}: {str(obs)}', + ) + + action = CmdRunAction(command='git checkout -b openhands') + action.timeout = 600 + logger.info(action, extra={'msg_type': 'ACTION'}) + obs = runtime.run_action(action) + logger.info(obs, extra={'msg_type': 'OBSERVATION'}) + assert_and_raise( + obs.exit_code == 0, f'Failed to git checkout new branch openhands: {str(obs)}' + ) + + # Install commit0 + action = CmdRunAction(command='/root/.cargo/bin/uv pip install commit0') + action.timeout = 600 + logger.info(action, extra={'msg_type': 'ACTION'}) + obs = runtime.run_action(action) + # logger.info(obs, extra={'msg_type': 'OBSERVATION'}) + assert_and_raise( + obs.exit_code == 0, + f'Failed to install commit0: {str(obs)}', + ) + logger.info('-' * 30) + logger.info('END Runtime Initialization Fn') + logger.info('-' * 30) + + +def complete_runtime( + runtime: Runtime, + instance: pd.Series, # this argument is not required, but it is used to get the workspace_dir_name +) -> dict[str, Any]: + """Complete the runtime for the agent. + + This function is called before the runtime is used to run the agent. + If you need to do something in the sandbox to get the correctness metric after + the agent has run, modify this function. + """ + logger.info('-' * 30) + logger.info('BEGIN Runtime Completion Fn') + logger.info('-' * 30) + obs: CmdOutputObservation + workspace_dir_name = _get_commit0_workspace_dir_name(instance) + + action = CmdRunAction(command='git add .') + action.timeout = 600 + logger.info(action, extra={'msg_type': 'ACTION'}) + obs = runtime.run_action(action) + logger.info(obs, extra={'msg_type': 'OBSERVATION'}) + assert_and_raise( + isinstance(obs, CmdOutputObservation) and obs.exit_code == 0, + f'Failed to git add -A: {str(obs)}', + ) + + action = CmdRunAction(command='git commit -m "openhands edits"') + action.timeout = 600 + logger.info(action, extra={'msg_type': 'ACTION'}) + obs = runtime.run_action(action) + logger.info(obs, extra={'msg_type': 'OBSERVATION'}) + assert_and_raise( + isinstance(obs, CmdOutputObservation) + and (obs.exit_code == 0 or obs.exit_code == 1), + f'Failed to git commit -m "openhands": {str(obs)}', + ) + + # Generate diff patch compared to base commit, excluding spec.pdf.bz2 files + n_retries = 0 + git_patch = None + while n_retries < 5: + action = CmdRunAction( + command=f"git diff {instance['base_commit']} HEAD -- . ':(exclude)spec.pdf.bz2'" + ) + action.timeout = 600 + 100 * n_retries + logger.info(action, extra={'msg_type': 'ACTION'}) + obs = runtime.run_action(action) + # logger.info(obs, extra={'msg_type': 'OBSERVATION'}) + n_retries += 1 + if isinstance(obs, CmdOutputObservation): + if obs.exit_code == 0: + git_patch = obs.content.strip() + break + else: + logger.info('Failed to get git diff, retrying...') + sleep_if_should_continue(10) + elif isinstance(obs, ErrorObservation): + logger.error(f'Error occurred: {obs.content}. Retrying...') + sleep_if_should_continue(10) + else: + assert_and_raise(False, f'Unexpected observation type: {str(obs)}') + + assert_and_raise(git_patch is not None, 'Failed to get git diff (None)') + + test_dir = instance['test']['test_dir'] + action = CmdRunAction( + command=f"{instance['test']['test_cmd']} --json-report --json-report-file=report.json --continue-on-collection-errors {test_dir} > test_output.txt 2>&1" + ) + action.timeout = 600 + logger.info(action, extra={'msg_type': 'ACTION'}) + obs = runtime.run_action(action) + logger.info(obs, extra={'msg_type': 'OBSERVATION'}) + assert_and_raise( + isinstance(obs, CmdOutputObservation), + f'Failed to run test command: {str(obs)}', + ) + # Read test output + action = CmdRunAction(command='cat test_output.txt') + action.timeout = 600 + logger.info(action, extra={'msg_type': 'ACTION'}) + obs = runtime.run_action(action) + # logger.info(obs, extra={'msg_type': 'OBSERVATION'}) + assert_and_raise( + isinstance(obs, CmdOutputObservation), + f'Failed to read test output: {str(obs)}', + ) + test_output = obs.content.strip() + # logger.info(f'Test output: {test_output}') + + # Save pytest exit code + action = CmdRunAction(command='echo $?') + action.timeout = 600 + logger.info(action, extra={'msg_type': 'ACTION'}) + obs = runtime.run_action(action) + # logger.info(obs, extra={'msg_type': 'OBSERVATION'}) + assert_and_raise( + isinstance(obs, CmdOutputObservation) and obs.exit_code == 0, + f'Failed to save pytest exit code: {str(obs)}', + ) + pytest_exit_code = obs.content.strip() + # logger.info(f'Pytest exit code: {pytest_exit_code}') + + # Read the test report + action = CmdRunAction(command='cat report.json') + action.timeout = 600 + logger.info(action, extra={'msg_type': 'ACTION'}) + obs = runtime.run_action(action) + # logger.info(obs, extra={'msg_type': 'OBSERVATION'}) + assert_and_raise( + isinstance(obs, CmdOutputObservation), + f'Failed to read test report: {str(obs)}', + ) + # Get test IDs from instance + repo_name = instance['repo'].split('/')[1] + repo_name = repo_name.replace('.', '-') + action = CmdRunAction(command=f'commit0 get-tests {repo_name}') + action.timeout = 600 + logger.info(action, extra={'msg_type': 'ACTION'}) + obs = runtime.run_action(action) + # logger.info(obs, extra={'msg_type': 'OBSERVATION'}) + test_ids = obs.content.strip().split('\n') + + try: + report = json.loads(obs.content) + tests = {x['nodeid']: x['call'] for x in report['tests'] if 'call' in x} + + # Calculate test statistics + status = [] + runtimes = [] + no_runs = 0 + + for test_id in test_ids: + if test_id in tests and tests[test_id] is not None: + status.append(tests[test_id]['outcome']) + runtimes.append(tests[test_id]['duration']) + no_runs += 1 + else: + status.append('failed') + runtimes.append(0) + + status_counts = Counter(status) + total_runtime = sum(runtimes) if no_runs > 0 else 0 + num_passed = status_counts.get('passed', 0) + status_counts.get('xfail', 0) + passed_ratio = num_passed / len(status) if status else 0 + + eval_result = { + 'name': workspace_dir_name, + 'sum': total_runtime, + 'passed': passed_ratio, + 'num_passed': num_passed, + 'num_tests': len(test_ids), + } + + except json.JSONDecodeError: + logger.error('Failed to parse test report JSON') + eval_result = { + 'name': workspace_dir_name, + 'sum': 0, + 'passed': 0, + 'num_passed': 0, + 'num_tests': len(test_ids), + } + + # Create tarball of workspace + temp_zip = runtime.copy_from(f'/workspace/{workspace_dir_name}') + + commit0_dir = os.path.dirname(__file__) + persistent_zip = os.path.join(commit0_dir, f'{workspace_dir_name}.zip') + with open(temp_zip, 'rb') as src, open(persistent_zip, 'wb') as dst: + dst.write(src.read()) + zip_file = persistent_zip + return { + 'eval_result': eval_result, + 'git_patch': git_patch, + 'test_output': test_output, + 'pytest_exit_code': pytest_exit_code, + 'zip_file': zip_file, + } + + +def process_instance( + instance: pd.Series, + metadata: EvalMetadata, + reset_logger: bool = True, +) -> EvalOutput: + config = get_config(instance, metadata) + # Setup the logger properly, so you can run multi-processing to parallelize the evaluation + if reset_logger: + log_dir = os.path.join(metadata.eval_output_dir, 'infer_logs') + reset_logger_for_multiprocessing(logger, instance.instance_id, log_dir) + else: + logger.info(f'Starting evaluation for instance {instance.instance_id}.') + + runtime = create_runtime(config) + call_async_from_sync(runtime.connect) + try: + initialize_runtime(runtime, instance) + + instruction = get_instruction(instance, metadata) + + # Here's how you can run the agent (similar to the `main` function) and get the final task state + state: State | None = asyncio.run( + run_controller( + config=config, + initial_user_action=MessageAction(content=instruction), + runtime=runtime, + fake_user_response_fn=AGENT_CLS_TO_FAKE_USER_RESPONSE_FN[ + metadata.agent_class + ], + ) + ) + + # if fatal error, throw EvalError to trigger re-run + if ( + state.last_error + and 'fatal error during agent execution' in state.last_error + and 'stuck in a loop' not in state.last_error + ): + raise EvalException('Fatal error detected: ' + state.last_error) + + # ======= THIS IS Commit0 specific ======= + # Get git patch + return_val = complete_runtime(runtime, instance) + eval_result = return_val['eval_result'] + git_patch = return_val['git_patch'] + test_output = return_val['test_output'] + pytest_exit_code = return_val['pytest_exit_code'] + zip_file = return_val['zip_file'] + + repo_name = instance['repo'].split('/')[1] + zip_dest = os.path.join( + metadata.eval_output_dir, 'repos', repo_name, f'{repo_name}.zip' + ) + patch_file = os.path.join( + metadata.eval_output_dir, 'repos', repo_name, f'{repo_name}_patch.diff' + ) + test_output_file = os.path.join( + metadata.eval_output_dir, 'repos', repo_name, f'{repo_name}_test_output.txt' + ) + pytest_exit_code_file = os.path.join( + metadata.eval_output_dir, + 'repos', + repo_name, + f'{repo_name}_pytest_exit_code.txt', + ) + + os.makedirs(os.path.dirname(zip_dest), exist_ok=True) + os.rename(zip_file, zip_dest) + + write_targets = [ + (patch_file, git_patch), + (test_output_file, test_output), + (pytest_exit_code_file, pytest_exit_code), + ] + + for write_target in write_targets: + with open(write_target[0], 'w') as f: + f.write(write_target[1]) + + logger.info( + f'Got evaluation result for repo {instance.instance_id}:\n--------\n{eval_result}\n--------' + ) + finally: + runtime.close() + # ========================================== + + # ======= Attempt to evaluate the agent's edits ======= + # we use eval_infer.sh to evaluate the agent's edits, not here + # because the agent may alter the environment / testcases + test_result = { + 'eval_result': eval_result, + } + + # If you are working on some simpler benchmark that only evaluates the final model output (e.g., in a MessageAction) + # You can simply get the LAST `MessageAction` from the returned `state.history` and parse it for evaluation. + if state is None: + raise ValueError('State should not be None.') + + # NOTE: this is NO LONGER the event stream, but an agent history that includes delegate agent's events + histories = [event_to_dict(event) for event in state.history] + metrics = state.metrics.get() if state.metrics else None + + # Save the output + output = EvalOutput( + instance_id=instance.instance_id, + instruction=instruction, + instance=instance.to_dict(), + test_result=test_result, + metadata=metadata, + history=histories, + metrics=metrics, + error=state.last_error if state and state.last_error else None, + ) + return output + + +def commit0_setup(dataset: pd.DataFrame, repo_split: str) -> pd.DataFrame: + """Setup Commit0 dataset based on split type. + + Args: + dataset: Full Commit0 dataset + repo_split: Split type ('all', 'lite' or specific repo name) + + Returns: + Filtered dataset based on split type + """ + + filtered_dataset = pd.concat( + [ + dataset[dataset['repo'].str.split('/').str[1] == repo] + for repo in SPLIT.get(repo_split, []) + ] + ) + + # Drop setup column if it exists + if 'setup' in filtered_dataset.columns: + filtered_dataset = filtered_dataset.drop('setup', axis=1) + + # Replace all forward slashes in instance_id with hyphens + filtered_dataset['instance_id'] = filtered_dataset['repo'].str.split('/').str[1] + + return filtered_dataset + + +if __name__ == '__main__': + parser = get_parser() + parser.add_argument( + '--dataset', + type=str, + default='wentingzhao/commit0_combined', + help='dataset to evaluate on, only test split exists for this HF dataset', + ) + parser.add_argument( + '--split', + type=str, + default='test', + help='this is the HF dataset split', + ) + parser.add_argument( + '--repo-split', + type=str, + default='lite', + help='all, lite, or each repo name', + ) + args, _ = parser.parse_known_args() + + # NOTE: It is preferable to load datasets from huggingface datasets and perform post-processing + # so we don't need to manage file uploading to OpenHands's repo + dataset = load_dataset(args.dataset, split=args.split) + + commit0_datasets = commit0_setup(dataset.to_pandas(), args.repo_split) + + logger.info(f'Loaded dataset {args.dataset} with reposplit {args.repo_split}') + + llm_config = None + if args.llm_config: + llm_config = get_llm_config_arg(args.llm_config) + llm_config.log_completions = True + + if llm_config is None: + raise ValueError(f'Could not find LLM config: --llm_config {args.llm_config}') + + details = {} + _agent_cls = openhands.agenthub.Agent.get_cls(args.agent_cls) + + dataset_descrption = ( + args.dataset.replace('/', '__') + '-' + args.repo_split.replace('/', '__') + ) + metadata = make_metadata( + llm_config, + dataset_descrption, + args.agent_cls, + args.max_iterations, + args.eval_note, + args.eval_output_dir, + details=details, + ) + + output_file = os.path.join(metadata.eval_output_dir, 'output.jsonl') + + instances = prepare_dataset(commit0_datasets, output_file, args.eval_n_limit) + + run_evaluation( + instances, + metadata, + output_file, + args.eval_num_workers, + process_instance, + timeout_seconds=120 * 60, # 2 hour PER instance should be more than enough + ) diff --git a/evaluation/commit0_bench/scripts/cleanup_remote_runtime.sh b/evaluation/commit0_bench/scripts/cleanup_remote_runtime.sh new file mode 100755 index 0000000000..34685b11ae --- /dev/null +++ b/evaluation/commit0_bench/scripts/cleanup_remote_runtime.sh @@ -0,0 +1,33 @@ +#!/bin/bash + + +# API base URL +BASE_URL="https://runtime.eval.all-hands.dev" + +# Get the list of runtimes +response=$(curl --silent --location --request GET "${BASE_URL}/list" \ + --header "X-API-Key: ${ALLHANDS_API_KEY}") + +n_runtimes=$(echo $response | jq -r '.total') +echo "Found ${n_runtimes} runtimes. Stopping them..." + +runtime_ids=$(echo $response | jq -r '.runtimes | .[].runtime_id') + +# Function to stop a single runtime +stop_runtime() { + local runtime_id=$1 + local counter=$2 + echo "Stopping runtime ${counter}/${n_runtimes}: ${runtime_id}" + curl --silent --location --request POST "${BASE_URL}/stop" \ + --header "X-API-Key: ${ALLHANDS_API_KEY}" \ + --header "Content-Type: application/json" \ + --data-raw "{\"runtime_id\": \"${runtime_id}\"}" + echo +} +export -f stop_runtime +export BASE_URL ALLHANDS_API_KEY n_runtimes + +# Use GNU Parallel to stop runtimes in parallel +echo "$runtime_ids" | parallel -j 16 --progress stop_runtime {} {#} + +echo "All runtimes have been stopped." diff --git a/evaluation/commit0_bench/scripts/run_infer.sh b/evaluation/commit0_bench/scripts/run_infer.sh new file mode 100755 index 0000000000..d362a09667 --- /dev/null +++ b/evaluation/commit0_bench/scripts/run_infer.sh @@ -0,0 +1,125 @@ +#!/bin/bash +set -eo pipefail + +source "evaluation/utils/version_control.sh" + +REPO_SPLIT=$1 +MODEL_CONFIG=$2 +COMMIT_HASH=$3 +AGENT=$4 +EVAL_LIMIT=$5 +MAX_ITER=$6 +NUM_WORKERS=$7 +DATASET=$8 +SPLIT=$9 +N_RUNS=${10} + +if [ -z "$NUM_WORKERS" ]; then + NUM_WORKERS=1 + echo "Number of workers not specified, use default $NUM_WORKERS" +fi +checkout_eval_branch + +if [ -z "$AGENT" ]; then + echo "Agent not specified, use default CodeActAgent" + AGENT="CodeActAgent" +fi + +if [ -z "$MAX_ITER" ]; then + echo "MAX_ITER not specified, use default 100" + MAX_ITER=100 +fi + +if [ -z "$USE_INSTANCE_IMAGE" ]; then + echo "USE_INSTANCE_IMAGE not specified, use default true" + USE_INSTANCE_IMAGE=true +fi + +if [ -z "$RUN_WITH_BROWSING" ]; then + echo "RUN_WITH_BROWSING not specified, use default false" + RUN_WITH_BROWSING=false +fi + + +if [ -z "$DATASET" ]; then + echo "DATASET not specified, use default wentingzhao/commit0_combined" + DATASET="wentingzhao/commit0_combined" +fi + +if [ -z "$REPO_SPLIT" ]; then + echo "REPO_SPLIT not specified, use default lite" + REPO_SPLIT=0 +fi + +if [ -z "$SPLIT" ]; then + echo "HF SPLIT not specified, use default test" + SPLIT="test" +fi + +export USE_INSTANCE_IMAGE=$USE_INSTANCE_IMAGE +echo "USE_INSTANCE_IMAGE: $USE_INSTANCE_IMAGE" +export RUN_WITH_BROWSING=$RUN_WITH_BROWSING +echo "RUN_WITH_BROWSING: $RUN_WITH_BROWSING" + +get_agent_version + +echo "AGENT: $AGENT" +echo "AGENT_VERSION: $AGENT_VERSION" +echo "MODEL_CONFIG: $MODEL_CONFIG" +echo "DATASET: $DATASET" +echo "HF SPLIT: $SPLIT" +echo "REPO SPLIT: $REPO_SPLIT" + +# Default to NOT use Hint +if [ -z "$USE_HINT_TEXT" ]; then + export USE_HINT_TEXT=false +fi +echo "USE_HINT_TEXT: $USE_HINT_TEXT" +EVAL_NOTE="$AGENT_VERSION" +# if not using Hint, add -no-hint to the eval note +if [ "$USE_HINT_TEXT" = false ]; then + EVAL_NOTE="$EVAL_NOTE-no-hint" +fi + +if [ "$RUN_WITH_BROWSING" = true ]; then + EVAL_NOTE="$EVAL_NOTE-with-browsing" +fi + +if [ -n "$EXP_NAME" ]; then + EVAL_NOTE="$EVAL_NOTE-$EXP_NAME" +fi + +function run_eval() { + local eval_note=$1 + COMMAND="poetry run python evaluation/commit0_bench/run_infer.py \ + --agent-cls $AGENT \ + --llm-config $MODEL_CONFIG \ + --max-iterations $MAX_ITER \ + --eval-num-workers $NUM_WORKERS \ + --eval-note $eval_note \ + --dataset $DATASET \ + --split $SPLIT \ + --repo-split $REPO_SPLIT" + + if [ -n "$EVAL_LIMIT" ]; then + echo "EVAL_LIMIT: $EVAL_LIMIT" + COMMAND="$COMMAND --eval-n-limit $EVAL_LIMIT" + fi + + # Run the command + eval $COMMAND +} + +unset SANDBOX_ENV_GITHUB_TOKEN # prevent the agent from using the github token to push +if [ -z "$N_RUNS" ]; then + N_RUNS=1 + echo "N_RUNS not specified, use default $N_RUNS" +fi + +for i in $(seq 1 $N_RUNS); do + current_eval_note="$EVAL_NOTE-run_$i" + echo "EVAL_NOTE: $current_eval_note" + run_eval $current_eval_note +done + +checkout_original_branch diff --git a/poetry.lock b/poetry.lock index 70d888cafe..cb51e9499b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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