Files
OpenHands/tests/integration/regenerate.sh
Boxuan Li 9b371b1b5f Refactor agent delegation and tweak micro agents (#1910)
This PR fixes #1897. In addition, this PR fixes and tweaks a few micro-agents.

For the first time, I am able to use ManagerAgent to complete test_write_simple_script and test_edits tasks in integration tests, so this PR also adds ManagerAgent as part of integration tests. test_write_simple_script involves delegation to CoderAgent while test_edits involves delegation to TypoFixerAgent.

Also for the first time, I am able to use DelegateAgent to complete test_write_simple_script and test_edits tasks in integration tests, so this PR also adds DelegateAgent as part of integration tests. It involves delegation to StudyRepoForTaskAgent, CoderAgent and VerifierAgent.

This PR is a blocker for #1735 and likely #1945.
2024-05-28 20:01:16 -07:00

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#!/bin/bash
set -eo pipefail
##############################################################
## CONSTANTS AND ENVIRONMENTAL VARIABLES ##
##############################################################
if [ -z $WORKSPACE_MOUNT_PATH ]; then
WORKSPACE_MOUNT_PATH=$(pwd)
fi
if [ -z $WORKSPACE_BASE ]; then
WORKSPACE_BASE=$(pwd)
fi
WORKSPACE_MOUNT_PATH+="/_test_workspace"
WORKSPACE_BASE+="/_test_workspace"
WORKSPACE_MOUNT_PATH_IN_SANDBOX="/workspace"
# use environmental variable if exist, otherwise use "ssh"
SANDBOX_TYPE="${SANDBOX_TYPE:-ssh}"
MAX_ITERATIONS=10
agents=("DelegatorAgent" "ManagerAgent" "BrowsingAgent" "MonologueAgent" "CodeActAgent" "PlannerAgent")
tasks=(
"Fix typos in bad.txt."
"Write a shell script 'hello.sh' that prints 'hello'."
"Use Jupyter IPython to write a text file containing 'hello world' to '/workspace/test.txt'."
"Install and import pymsgbox==1.0.9 and print it's version in /workspace/test.txt."
"Browse localhost:8000, and tell me the ultimate answer to life."
)
test_names=(
"test_edits"
"test_write_simple_script"
"test_ipython"
"test_ipython_module"
"test_browse_internet"
)
num_of_tests=${#test_names[@]}
num_of_agents=${#agents[@]}
##############################################################
## FUNCTIONS ##
##############################################################
# run integration test against a specific agent & test
run_test() {
local pytest_cmd="poetry run pytest -s ./tests/integration/test_agent.py::$test_name"
# Check if TEST_IN_CI is defined
if [ -n "$TEST_IN_CI" ]; then
pytest_cmd+=" --cov=agenthub --cov=opendevin --cov-report=xml --cov-append"
fi
SANDBOX_TYPE=$SANDBOX_TYPE \
WORKSPACE_BASE=$WORKSPACE_BASE \
WORKSPACE_MOUNT_PATH=$WORKSPACE_MOUNT_PATH \
WORKSPACE_MOUNT_PATH_IN_SANDBOX=$WORKSPACE_MOUNT_PATH_IN_SANDBOX \
MAX_ITERATIONS=$MAX_ITERATIONS \
AGENT=$agent \
$pytest_cmd
# return exit code of pytest
return $?
}
# browsing capability needs a local http server
launch_http_server() {
poetry run python tests/integration/start_http_server.py &
HTTP_SERVER_PID=$!
sleep 10
}
# generate prompts again, using existing LLM responses under tests/integration/mock/[agent]/[test_name]/response_*.log
# this is a compromise; the prompts might be non-sense yet still pass the test, because we don't use a real LLM to
# respond to the prompts. The benefit is developers don't have to regenerate real responses from LLM, if they only
# apply a small change to prompts.
regenerate_without_llm() {
# set -x to print the command being executed
set -x
SANDBOX_TYPE=$SANDBOX_TYPE \
WORKSPACE_BASE=$WORKSPACE_BASE \
WORKSPACE_MOUNT_PATH=$WORKSPACE_MOUNT_PATH \
WORKSPACE_MOUNT_PATH_IN_SANDBOX=$WORKSPACE_MOUNT_PATH_IN_SANDBOX \
MAX_ITERATIONS=$MAX_ITERATIONS \
FORCE_APPLY_PROMPTS=true \
AGENT=$agent \
poetry run pytest -s ./tests/integration/test_agent.py::$test_name
set +x
}
regenerate_with_llm() {
if [[ "$test_name" = "test_browse_internet" ]]; then
launch_http_server
fi
rm -rf $WORKSPACE_BASE
mkdir -p $WORKSPACE_BASE
if [ -d "tests/integration/workspace/$test_name" ]; then
cp -r tests/integration/workspace/$test_name/* $WORKSPACE_BASE
fi
rm -rf logs
rm -rf tests/integration/mock/$agent/$test_name/*
# set -x to print the command being executed
set -x
echo -e "/exit\n" | \
DEBUG=true \
SANDBOX_TYPE=$SANDBOX_TYPE \
WORKSPACE_BASE=$WORKSPACE_BASE \
WORKSPACE_MOUNT_PATH=$WORKSPACE_MOUNT_PATH AGENT=$agent \
WORKSPACE_MOUNT_PATH_IN_SANDBOX=$WORKSPACE_MOUNT_PATH_IN_SANDBOX \
poetry run python ./opendevin/core/main.py \
-i $MAX_ITERATIONS \
-t "$task Do not ask me for confirmation at any point." \
-c $agent
set +x
mkdir -p tests/integration/mock/$agent/$test_name/
mv logs/llm/**/* tests/integration/mock/$agent/$test_name/
if [[ "$test_name" = "test_browse_internet" ]]; then
# Terminate the HTTP server
kill $HTTP_SERVER_PID
fi
}
##############################################################
## MAIN PROGRAM ##
##############################################################
if [ "$num_of_tests" -ne "${#test_names[@]}" ]; then
echo "Every task must correspond to one test case"
exit 1
fi
rm -rf logs
rm -rf $WORKSPACE_BASE
for ((i = 0; i < num_of_tests; i++)); do
task=${tasks[i]}
test_name=${test_names[i]}
# skip other tests if only one test is specified
if [[ -n "$ONLY_TEST_NAME" && "$ONLY_TEST_NAME" != "$test_name" ]]; then
continue
fi
for ((j = 0; j < num_of_agents; j++)); do
agent=${agents[j]}
# skip other agents if only one agent is specified
if [[ -n "$ONLY_TEST_AGENT" && "$ONLY_TEST_AGENT" != "$agent" ]]; then
continue
fi
echo -e "\n\n\n\n========STEP 1: Running $test_name for $agent========\n\n\n\n"
rm -rf $WORKSPACE_BASE
mkdir $WORKSPACE_BASE
if [ -d "tests/integration/workspace/$test_name" ]; then
cp -r tests/integration/workspace/$test_name/* $WORKSPACE_BASE
fi
if [ "$TEST_ONLY" = true ]; then
set -e
else
# Temporarily disable 'exit on error'
set +e
fi
TEST_STATUS=1
if [ -z $SKIP_TEST ]; then
run_test
TEST_STATUS=$?
fi
# Re-enable 'exit on error'
set -e
if [[ $TEST_STATUS -ne 0 ]]; then
if [ "$FORCE_USE_LLM" = true ]; then
echo -e "\n\n\n\n========FORCE_USE_LLM, skipping step 2 & 3========\n\n\n\n"
elif [ ! -d "tests/integration/mock/$agent/$test_name" ]; then
echo -e "\n\n\n\n========No existing mock responses for $agent/$test_name, skipping step 2 & 3========\n\n\n\n"
else
echo -e "\n\n\n\n========STEP 2: $test_name failed, regenerating prompts for $agent WITHOUT money cost========\n\n\n\n"
# Temporarily disable 'exit on error'
set +e
regenerate_without_llm
echo -e "\n\n\n\n========STEP 3: $test_name prompts regenerated for $agent, rerun test again to verify========\n\n\n\n"
run_test
TEST_STATUS=$?
# Re-enable 'exit on error'
set -e
fi
if [[ $TEST_STATUS -ne 0 ]]; then
echo -e "\n\n\n\n========STEP 4: $test_name failed, regenerating prompts and responses for $agent WITH money cost========\n\n\n\n"
regenerate_with_llm
echo -e "\n\n\n\n========STEP 5: $test_name prompts and responses regenerated for $agent, rerun test again to verify========\n\n\n\n"
# Temporarily disable 'exit on error'
set +e
run_test
TEST_STATUS=$?
# Re-enable 'exit on error'
set -e
if [[ $TEST_STATUS -ne 0 ]]; then
echo -e "\n\n\n\n========$test_name for $agent RERUN FAILED========\n\n\n\n"
echo -e "There are multiple possibilities:"
echo -e " 1. The agent is unable to finish the task within $MAX_ITERATIONS steps."
echo -e " 2. The agent thinks itself has finished the task, but fails the validation in the test code."
echo -e " 3. There is something non-deterministic in the prompt."
echo -e " 4. There is a bug in this script, or in OpenDevin code."
echo -e "NOTE: Some of the above problems could sometimes be fixed by a retry (with a more powerful LLM)."
echo -e " You could also consider improving the agent, increasing MAX_ITERATIONS, or skipping this test for this agent."
exit 1
else
echo -e "\n\n\n\n========$test_name for $agent RERUN PASSED========\n\n\n\n"
sleep 1
fi
else
echo -e "\n\n\n\n========$test_name for $agent RERUN PASSED========\n\n\n\n"
sleep 1
fi
else
echo -e "\n\n\n\n========$test_name for $agent PASSED========\n\n\n\n"
sleep 1
fi
done
done
rm -rf logs
rm -rf $WORKSPACE_BASE
echo "Done!"