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* move multi-line bash tests to test_runtime; support multi-line bash for esruntime; * add testcase to handle PS2 prompt * use bashlex for bash parsing to handle multi-line commands; add testcases for multi-line commands * revert ghcr runtime change * Apply stash * fix run as other user; make test async; * fix test runtime for run as od * add run-as-devin to all the runtime tests * handle the case when username is root * move all run-as-devin tests from sandbox; only tests a few cases on different user to save time; * move over multi-line echo related tests to test_runtime * fix user-specific jupyter by fixing the pypoetry virtualenv folder * make plugin's init async; chdir at initialization of jupyter plugin; move ipy simple testcase to test runtime; * support agentskills import in move tests for jupyter pwd tests; overload `add_env_vars` for EventStreamRuntime to update env var also in Jupyter; make agentskills read env var lazily, in case env var is updated; * fix ServerRuntime agentskills issue * move agnostic image test to test_runtime * merge runtime tests in CI * fix enable auto lint as env var * update warning message * update warning message * test for different container images * change parsing output as debug * add exception handling for update_pwd_decorator * fix unit test indentation * add plugins as default input to Runtime class; remove init_sandbox_plugins; implement add_env_var (include jupyter) in the base class; * fix server runtime auto lint * Revert "add exception handling for update_pwd_decorator" This reverts commit 2b668b1506e02145cb8f87e321aad62febca3d50. * tries to print debugging info for agentskills * explictly setting uid (try fix permission issue) * Revert "tries to print debugging info for agentskills" This reverts commit 8be4c86756f0e3fc62957b327ba2ac4999c419de. * set sandbox user id during testing to hopefully fix the permission issue * add browser tools for server runtime * try to debug for old pwd * update debug cmd * only test agnostic runtime when TEST_RUNTIME is Server * fix temp dir mkdir * load TEST_RUNTIME at the beginning * remove ipython tests * only log to file when DEBUG * default logging to project root * temporarily remove log to file * fix LLM logger dir * fix logger * make set pwd an optional aux action * fix prev pwd * fix infinity recursion * simplify * do not import the whole od library to avoid logger folder by jupyter * fix browsing * increase timeout * attempt to fix agentskills yet again * clean up in testcases, since CI maybe run as non-root * add _cause attribute for event.id * remove parent * add a bunch of debugging statement again for CI :( * fix temp_dir fixture * change all temp dir to follow pytest's tmp_path_factory * remove extra bracket * clean up error printing a bit * jupyter chdir to self.config.workspace_mount_path_in_sandbox on initialization * jupyter chdir to self.config.workspace_mount_path_in_sandbox on initialization * add typing for tmp dir fixture * clear the directory before running the test to avoid weird CI temp dir * remove agnostic test case for server runtime * Revert "remove agnostic test case for server runtime" This reverts commit 30e2181c3fc1410e69596c2dcd06be01f1d016b3. * disable agnostic tests in CI * fix test * make sure plugin arg is not passed when no plugin is specified; remove redundant on_event function; * move mock prompt * rename runtime * remove extra logging * refactor run_controller's interface; support multiple runtime for integration test; filter out hostname for prompt * uncomment other tests * pass the right runtime to controller * log runtime when start * uncomment tests * improve symbol filters * add intergration test prompts that seemd ok * add integration test workflow * add python3 to default ubuntu image * symlink python and fix permission to jupyter pip * add retry for jupyter execute server * fix jupyter pip install; add post-process for jupyter pip install; simplify init by add agent_skills path to PYTHONPATH; add testcase to tests jupyter pip install; * fix bug * use ubuntu:22.04 for eventstream integration tests * add todo * update testcase * remove redundant code * fix unit test * reduce dependency for runtime * try making llama-index an optional dependency that's not installed by default * remove pip install since it seemd not needed * log ipython execution; await write message since it returns a future * update ipy testcase * do not install llama-index in CI * do not install llama-index in the app docker as well * set sandbox container image in the integration test script * log plugins & env var for runtime * update conftest for sha256 * add git * remove all non-alphanumeric chalracters * add working ipy module tests! * default to use host network * remove is_async from browser to make thing a little more reliable; retry loading browser when error; * add sleep to wait a bit for http server * kill http server before regenerate browsing tests * fix browsing * only set sandbox container image if undefined * skip empty config value * update evaluation to use the latest run_controller * revert logger in execute_server to be compatible with server runtime * revert logging level to fix jupyter * set logger level * revert the logging * chmod for workspace to fix permission * support getting timeout from action * update test for server runtime * try to fix file permission * fix test_cmd_run_action_serialization_deserialization test (added timeout) * poetry: pip 24.2, torch 2.2.2 * revert adding pip to pyproject.toml * add build to dependencies in pyproject.toml * forgot poetry lock --no-update * fix a DelegatorAgent prompt_002.log (timeout) * fix a DelegatorAgent prompt_003.log (timeout) * couple more timeout attribs in prompt files * some more prompt files * prompts galore * add clarification comment for timeout * default timeout to config * add assert * update integraton tests for eventstream * update integration tests * fix timeout for action<->dict * remove redundant on_event * default to use instance image * update run_controller interface * add logging for copy * refactor swe_bench for the new design * fix action execution timeout * updatelock * remove build sandbox locally * fix runtime * use plain for-loop for single process * remove extra print * get swebench inference working * print whole `test_result` dict * got swebench patch post-process working * update swe-bench evaluation readme * refactor using shared reset_logger function * move messy swebench prompt to a different file * support the ability to specify whether to keep prompt * support the ability to specify whether to keep prompt * fix dockerfile * fix import and remove unnecessary strip logic * fix action serialization * get agentbench running * remove extra ls for agent bench * fix agentbench metric * factor out common documentation for eval * update biocoder doc * remove swe_env_box since it is no longer needed * get biocoder working * add func timeout for bird * fix jupyter pwd with ~ as user name * fix jupyter pwd with ~ as user name * get bird working * get browsing evaluation working * make eda runnable * fix id column * fix eda run_infer * unify eval output using a structured format; make swebench coompatible with that format; update client source code for every swebench run; do not inject testcmd for swebench * standardize existing benchs for the new eval output * set update source code = true * get gaia standardized * fix gaia * gorilla refactored but stuck at language.so to test * refactor and make gpqa work * refactor humanevalfix and get it working * refactor logic reasoning and get it working * refactor browser env so it works with eventstream runtime for eval * add initial version of miniwob refactor * fix browsergym environment * get miniwob working!! * allowing injecting additional dependency to OD runtime docker image * allowing injecting additional dependency to OD runtime docker image * support logic reasoning with pre-injected dependency * get mint working * update runtime build * fix mint docker * add test for keep_prompt; add missing await close for some tests * update integration tests for eventstream runtime * fix integration tests for server runtime * refactor ml bench and toolqa * refactor webarena * fix default factory * Update run_infer.py * add APIError to retry * increase timeout for swebench * make sure to hide api key when dump eval output * update the behavior of put source code to put files instead of tarball * add dishash to dependency * sendintr when timeout * fix dockerfile copy * reduce timeout * use dirhash to avoid repeat building for update source * fix runtime_build testcase * add dir_hash to docker build pipeline * revert api error * update poetry lock * add retries for swebench run infer * fix git patch * update poetry lock * adjust config order * fix mount volumns * enforce all eval to use "instance_id" * remove file store from runtime * make file_store public inside eventstream * move the runtime logic inside `main` out * support using async function for process_instance_fn * refactor run_infer with the create_time * fix file store * Update evaluation/toolqa/utils.py Co-authored-by: Graham Neubig <neubig@gmail.com> * fix typo --------- Co-authored-by: tobitege <tobitege@gmx.de> Co-authored-by: super-dainiu <78588128+super-dainiu@users.noreply.github.com> Co-authored-by: Graham Neubig <neubig@gmail.com>
53 lines
1.1 KiB
Bash
Executable File
53 lines
1.1 KiB
Bash
Executable File
#!/bin/bash
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set -eo pipefail
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source "evaluation/utils/version_control.sh"
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MODEL_CONFIG=$1
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DATASET=$2
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COMMIT_HASH=$3
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EVAL_LIMIT=$4
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AGENT=$5
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NUM_WORKERS=$6
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if [ -z "$NUM_WORKERS" ]; then
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NUM_WORKERS=1
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echo "Number of workers not specified, use default $NUM_WORKERS"
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fi
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# ################################################################################
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checkout_eval_branch
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if [ -z "$AGENT" ]; then
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echo "Agent not specified, use default CodeActAgent"
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AGENT="CodeActAgent"
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fi
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if [ -z "$DATASET" ]; then
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echo "Dataset not specified, use default ProofWriter"
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DATASET="ProofWriter"
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fi
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get_agent_version
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echo "AGENT: $AGENT"
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echo "AGENT_VERSION: $AGENT_VERSION"
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echo "MODEL_CONFIG: $MODEL_CONFIG"
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COMMAND="poetry run python evaluation/logic_reasoning/run_infer.py \
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--agent-cls $AGENT \
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--llm-config $MODEL_CONFIG \
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--dataset $DATASET \
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--max-iterations 10 \
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--max-chars 10000000 \
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--eval-num-workers $NUM_WORKERS \
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--eval-note $AGENT_VERSION"
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if [ -n "$EVAL_LIMIT" ]; then
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echo "EVAL_LIMIT: $EVAL_LIMIT"
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COMMAND="$COMMAND --eval-n-limit $EVAL_LIMIT"
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fi
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# Run the command
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eval $COMMAND
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