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eval-runner.yml
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name: Run Evaluation
on:
pull_request:
types: [labeled]
schedule:
- cron: "0 1 * * *" # Run daily at 1 AM UTC
workflow_dispatch:
inputs:
reason:
description: "Reason for manual trigger"
required: true
default: ""
env:
N_PROCESSES: 32 # Global configuration for number of parallel processes for evaluation
jobs:
run-evaluation:
if: github.event.label.name == 'eval-this' || github.event_name != 'pull_request'
runs-on: ubuntu-latest
permissions:
contents: "read"
id-token: "write"
pull-requests: "write"
issues: "write"
strategy:
matrix:
python-version: ["3.12"]
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Install poetry via pipx
run: pipx install poetry
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: "poetry"
- name: Comment on PR if 'eval-this' label is present
if: github.event_name == 'pull_request' && github.event.label.name == 'eval-this'
uses: KeisukeYamashita/create-comment@v1
with:
unique: false
comment: |
Hi! I started running the evaluation on your PR. You will receive a comment with the results shortly.
- name: Install Python dependencies using Poetry
run: poetry install
- name: Configure config.toml for evaluation
env:
DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_LLM_API_KEY }}
run: |
echo "[llm.eval]" > config.toml
echo "model = \"deepseek/deepseek-chat\"" >> config.toml
echo "api_key = \"$DEEPSEEK_API_KEY\"" >> config.toml
echo "temperature = 0.0" >> config.toml
- name: Run integration test evaluation
env:
ALLHANDS_API_KEY: ${{ secrets.ALLHANDS_EVAL_RUNTIME_API_KEY }}
RUNTIME: remote
SANDBOX_REMOTE_RUNTIME_API_URL: https://runtime.eval.all-hands.dev
EVAL_DOCKER_IMAGE_PREFIX: us-central1-docker.pkg.dev/evaluation-092424/swe-bench-images
run: |
poetry run ./evaluation/integration_tests/scripts/run_infer.sh llm.eval HEAD CodeActAgent '' $N_PROCESSES
# get evaluation report
REPORT_FILE=$(find evaluation/evaluation_outputs/outputs/integration_tests/CodeActAgent/deepseek-chat_maxiter_10_N* -name "report.md" -type f | head -n 1)
echo "REPORT_FILE: $REPORT_FILE"
echo "INTEGRATION_TEST_REPORT<<EOF" >> $GITHUB_ENV
cat $REPORT_FILE >> $GITHUB_ENV
echo >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
- name: Run SWE-Bench evaluation
env:
ALLHANDS_API_KEY: ${{ secrets.ALLHANDS_EVAL_RUNTIME_API_KEY }}
RUNTIME: remote
SANDBOX_REMOTE_RUNTIME_API_URL: https://runtime.eval.all-hands.dev
EVAL_DOCKER_IMAGE_PREFIX: us-central1-docker.pkg.dev/evaluation-092424/swe-bench-images
run: |
poetry run ./evaluation/swe_bench/scripts/run_infer.sh llm.eval HEAD CodeActAgent 300 30 $N_PROCESSES "princeton-nlp/SWE-bench_Lite" test
OUTPUT_FOLDER=$(find evaluation/evaluation_outputs/outputs/princeton-nlp__SWE-bench_Lite-test/CodeActAgent -name "deepseek-chat_maxiter_50_N_*-no-hint-run_1" -type d | head -n 1)
echo "OUTPUT_FOLDER for SWE-bench evaluation: $OUTPUT_FOLDER"
poetry run ./evaluation/swe_bench/scripts/eval_infer_remote.sh $OUTPUT_FOLDER/output.jsonl $N_PROCESSES "princeton-nlp/SWE-bench_Lite" test
poetry run ./evaluation/swe_bench/scripts/eval/summarize_outputs.py $OUTPUT_FOLDER/output.jsonl > summarize_outputs.log 2>&1
echo "SWEBENCH_REPORT<<EOF" >> $GITHUB_ENV
cat summarize_outputs.log >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
- name: Create tar.gz of evaluation outputs
run: |
TIMESTAMP=$(date +'%y-%m-%d-%H-%M')
tar -czvf evaluation_outputs_${TIMESTAMP}.tar.gz evaluation/evaluation_outputs/outputs
- name: Upload evaluation results as artifact
uses: actions/upload-artifact@v4
id: upload_results_artifact
with:
name: evaluation-outputs
path: evaluation_outputs_*.tar.gz
- name: Get artifact URL
run: echo "ARTIFACT_URL=${{ steps.upload_results_artifact.outputs.artifact-url }}" >> $GITHUB_ENV
- name: Authenticate to Google Cloud
uses: 'google-github-actions/auth@v2'
with:
credentials_json: ${{ secrets.GCP_RESEARCH_OBJECT_CREATOR_SA_KEY }}
- name: Set timestamp and trigger reason
run: |
echo "TIMESTAMP=$(date +'%Y-%m-%d-%H-%M')" >> $GITHUB_ENV
if [[ "${{ github.event_name }}" == "pull_request" ]]; then
echo "TRIGGER_REASON=pr-${{ github.event.pull_request.number }}" >> $GITHUB_ENV
elif [[ "${{ github.event_name }}" == "schedule" ]]; then
echo "TRIGGER_REASON=schedule" >> $GITHUB_ENV
else
echo "TRIGGER_REASON=manual-${{ github.event.inputs.reason }}" >> $GITHUB_ENV
fi
- name: Upload evaluation results to Google Cloud Storage
uses: 'google-github-actions/upload-cloud-storage@v2'
with:
path: 'evaluation/evaluation_outputs/outputs'
destination: 'openhands-oss-eval-results/${{ env.TIMESTAMP }}-${{ env.TRIGGER_REASON }}'
- name: Comment with evaluation results and artifact link
id: create_comment
uses: KeisukeYamashita/create-comment@v1
with:
number: ${{ github.event_name == 'pull_request' && github.event.pull_request.number || 4504 }}
unique: false
comment: |
Trigger by: ${{ github.event_name == 'pull_request' && format('Pull Request (eval-this label on PR #{0})', github.event.pull_request.number) || github.event_name == 'schedule' && 'Daily Schedule' || format('Manual Trigger: {0}', github.event.inputs.reason) }}
Commit: ${{ github.sha }}
**SWE-Bench Evaluation Report**
${{ env.SWEBENCH_REPORT }}
---
**Integration Tests Evaluation Report**
${{ env.INTEGRATION_TEST_REPORT }}
---
You can download the full evaluation outputs [here](${{ env.ARTIFACT_URL }}).
- name: Post to a Slack channel
id: slack
uses: slackapi/slack-github-action@v1.27.0
with:
channel-id: 'C07SVQSCR6F'
slack-message: "*Evaluation Trigger:* ${{ github.event_name == 'pull_request' && format('Pull Request (eval-this label on PR #{0})', github.event.pull_request.number) || github.event_name == 'schedule' && 'Daily Schedule' || format('Manual Trigger: {0}', github.event.inputs.reason) }}\n\nLink to summary: [here](https://github.com/${{ github.repository }}/issues/${{ github.event_name == 'pull_request' && github.event.pull_request.number || 4504 }}#issuecomment-${{ steps.create_comment.outputs.comment-id }})"
env:
SLACK_BOT_TOKEN: ${{ secrets.EVAL_NOTIF_SLACK_BOT_TOKEN }}