final-vibevault-tests/.gitea/workflows/autograde.yml
mh04194357 5c5e8db0da
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2025-12-23 13:13:20 +08:00

41 KiB

name: autograde-final-vibevault
 
on:
push:
branches:
- main
tags:
- 'submit' # 浠嶇劧鍏佽鏍囩瑙﹀彂
- 'submit-*'
workflow_dispatch:
 
permissions:
contents: read
pull-requests: write
 
jobs:
# 妫€鏌ユ槸鍚﹀簲璇ヨЕ鍙?CI锛堜粎鍦?commit message 鍖呭惈 鈥滃畬鎴愪綔涓氣€?鏃舵墽琛岋級
check-trigger:
runs-on: docker
container:
image: alpine:latest
outputs:
should_run: ${{ steps.check.outputs.trigger }}
steps:
- name: Check commit message for trigger keyword
id: check
run: |
COMMIT_MSG="${{ github.event.head_commit.message || '' }}"
echo "Commit message: $COMMIT_MSG"
if echo "$COMMIT_MSG" | grep -q "瀹屾垚浣滀笟"; then
echo "trigger=true" >> $GITHUB_OUTPUT
echo "鉁?Commit contains \"瀹屾垚浣滀笟\"锛屽嵆灏嗘墽琛岃瘎鍒?
else
echo "trigger=false" >> $GITHUB_OUTPUT
echo "鉀?鍙湁鍖呭惈鈥滃畬鎴愪綔涓氣€濈殑鎻愪氦鎵嶄細鎵ц鑷姩璇勫垎" >&2
fi
 
grade:
needs: check-trigger
if: needs.check-trigger.outputs.should_run == 'true'
runs-on: docker
container:
image: gradle:9.0-jdk21
options: --user root
timeout-minutes: 30
 
steps:
- name: Install dependencies (CN mirror)
run: |
set -e
# 鏇挎崲 Debian/Ubuntu 婧愪负闃块噷浜戦暅鍍? for f in /etc/apt/sources.list /etc/apt/sources.list.d/*.list /etc/apt/sources.list.d/*.sources; do
[ -f "$f" ] || continue
sed -i -E 's|https?://deb.debian.org|http://mirrors.aliyun.com|g' "$f" || true
sed -i -E 's|https?://security.debian.org|http://mirrors.aliyun.com/debian-security|g' "$f" || true
sed -i -E 's|https?://archive.ubuntu.com|http://mirrors.aliyun.com|g' "$f" || true
sed -i -E 's|https?://ports.ubuntu.com|http://mirrors.aliyun.com|g' "$f" || true
done
apt-get -o Acquire::Check-Valid-Until=false update -y
DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends git ca-certificates python3 python3-pip rsync \
libpango-1.0-0 libpangocairo-1.0-0 libgdk-pixbuf2.0-0 libffi-dev shared-mime-info \
fonts-noto-cjk fonts-wqy-microhei
pip3 install --break-system-packages python-dotenv requests markdown weasyprint -i https://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com
# 鍒锋柊瀛椾綋缂撳瓨
fc-cache -f -v > /dev/null 2>&1 || true
rm -rf /var/lib/apt/lists/*
 
- name: Configure Gradle mirror (Aliyun)
run: |
mkdir -p ~/.gradle
cat > ~/.gradle/init.gradle << 'EOF'
allprojects {
repositories {
mavenLocal()
maven { url 'https://maven.aliyun.com/repository/public' }
maven { url 'https://maven.aliyun.com/repository/spring' }
maven { url 'https://maven.aliyun.com/repository/spring-plugin' }
maven { url 'https://maven.aliyun.com/repository/gradle-plugin' }
mavenCentral()
}
}
EOF
echo "鉁?Gradle configured to use Aliyun mirror"
 
- name: Checkout code
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
git config --global --add safe.directory ${{ github.workspace }}
git init
# Use token for authentication (required for private repos)
REPO_URL="${{ github.server_url }}/${{ github.repository }}.git"
AUTH_URL=$(echo "$REPO_URL" | sed "s|://|://${GITHUB_TOKEN}@|")
git remote add origin "$AUTH_URL"
git fetch --depth=1 origin ${{ github.sha }}
git checkout ${{ github.sha }}
 
- name: Fix permissions
run: chown -R $(whoami):$(whoami) ${{ github.workspace }} || true
 
- name: Setup local grading scripts
working-directory: ${{ github.workspace }}
run: |
echo "馃摝 Setting up local grading environment..."
 
# Create autograde directory with simple grading scripts
mkdir -p .autograde
 
# Create grade_grouped.py
cat > .autograde/grade_grouped.py << 'GRADE_SCRIPT'
import json
import os
import sys
import xml.etree.ElementTree as ET
from pathlib import Path
 
def parse_junit_results(junit_dir):
results = {"passed": 0, "failed": 0, "total": 0, "tests": []}
junit_path = Path(junit_dir)
if not junit_path.exists():
return results
for xml_file in junit_path.glob("TEST-*.xml"):
try:
tree = ET.parse(xml_file)
root = tree.getroot()
for testcase in root.findall(".//testcase"):
name = testcase.get("name", "unknown")
classname = testcase.get("classname", "")
failure = testcase.find("failure")
error = testcase.find("error")
status = "passed" if failure is None and error is None else "failed"
results["tests"].append({"name": f"{classname}.{name}", "status": status})
results["total"] += 1
if status == "passed":
results["passed"] += 1
else:
results["failed"] += 1
except Exception as e:
print(f"Error parsing {xml_file}: {e}")
return results
 
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--junit-dir", required=True)
parser.add_argument("--groups", default="test_groups.json")
parser.add_argument("--out", default="grade.json")
parser.add_argument("--summary", default="summary.md")
args = parser.parse_args()
 
results = parse_junit_results(args.junit_dir)
score = int((results["passed"] / max(results["total"], 1)) * 60)
 
grade = {
"programming_score": score,
"max_score": 60,
"passed": results["passed"],
"failed": results["failed"],
"total": results["total"],
"tests": results["tests"]
}
 
with open(args.out, "w") as f:
json.dump(grade, f, indent=2)
 
with open(args.summary, "w") as f:
f.write(f"# Programming Test Results\n\n")
f.write(f"- **Score**: {score}/60\n")
f.write(f"- **Passed**: {results['passed']}/{results['total']}\n\n")
for t in results["tests"]:
icon = "鉁? if t["status"] == "passed" else "鉂?
f.write(f"- {icon} {t['name']}\n")
 
print(f"鉁?Grade: {score}/60 ({results['passed']}/{results['total']} tests passed)")
 
if __name__ == "__main__":
main()
GRADE_SCRIPT
 
# Create llm_grade.py (simplified - just gives points for having the file)
cat > .autograde/llm_grade.py << 'LLM_SCRIPT'
import json
import argparse
import os
 
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--question", default="")
parser.add_argument("--answer", required=True)
parser.add_argument("--rubric", default="")
parser.add_argument("--out", default="grade.json")
parser.add_argument("--summary", default="summary.md")
args = parser.parse_args()
 
score = 0
feedback = ""
 
if os.path.exists(args.answer):
with open(args.answer, "r", encoding="utf-8") as f:
content = f.read()
word_count = len(content)
if word_count > 500:
score = 10
feedback = "Report submitted with sufficient content."
elif word_count > 200:
score = 7
feedback = "Report submitted but could use more detail."
else:
score = 3
feedback = "Report is too short."
else:
feedback = "Report file not found."
 
with open(args.out, "w") as f:
json.dump({"total": score, "feedback": feedback}, f, indent=2)
 
with open(args.summary, "w") as f:
f.write(f"# Report Grade\n\n- **Score**: {score}/10\n- **Feedback**: {feedback}\n")
 
print(f"鉁?Report grade: {score}/10")
 
if __name__ == "__main__":
main()
LLM_SCRIPT
 
# Create aggregate_final_grade.py
cat > .autograde/aggregate_final_grade.py << 'AGG_SCRIPT'
import json
import argparse
 
def load_json(path):
try:
with open(path) as f:
return json.load(f)
except:
return {}
 
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--programming", default="grade.json")
parser.add_argument("--report", default="report_grade.json")
parser.add_argument("--frontend", default="frontend_grade.json")
parser.add_argument("--out", default="final_grade.json")
parser.add_argument("--summary", default="final_summary.md")
args = parser.parse_args()
 
prog = load_json(args.programming)
report = load_json(args.report)
frontend = load_json(args.frontend)
 
prog_score = prog.get("programming_score", 0)
report_score = report.get("total", 0)
frontend_score = frontend.get("total", 0)
total = prog_score + report_score + frontend_score
 
final = {
"total": total,
"programming": prog_score,
"report": report_score,
"frontend": frontend_score
}
 
with open(args.out, "w") as f:
json.dump(final, f, indent=2)
 
with open(args.summary, "w") as f:
f.write(f"# Final Grade Summary\n\n")
f.write(f"| Category | Score |\n|----------|-------|\n")
f.write(f"| Programming | {prog_score}/60 |\n")
f.write(f"| Report | {report_score}/10 |\n")
f.write(f"| Frontend | {frontend_score}/10 |\n")
f.write(f"| **Total** | **{total}/80** |\n")
 
print(f"馃幆 Final grade: {total}/80")
 
if __name__ == "__main__":
main()
AGG_SCRIPT
 
# Create minimal metadata script
cat > .autograde/create_minimal_metadata.py << 'META_SCRIPT'
import json
import os
 
grade_file = "final_grade.json"
if os.path.exists(grade_file):
with open(grade_file) as f:
data = json.load(f)
print(json.dumps({"grade": data.get("total", 0), "status": "graded"}))
else:
print(json.dumps({"grade": 0, "status": "error"}))
META_SCRIPT
 
# Create upload_metadata.py (stub)
cat > .autograde/upload_metadata.py << 'UPLOAD_SCRIPT'
print("Metadata upload skipped (local mode)")
UPLOAD_SCRIPT
 
# Create generate_pdf_report.py (stub)
cat > .autograde/generate_pdf_report.py << 'PDF_SCRIPT'
print("PDF generation skipped (local mode)")
PDF_SCRIPT
 
echo "鉁?Local grading scripts created"
 
- name: Run tests
working-directory: ${{ github.workspace }}
run: |
gradle test --no-daemon || true
 
# Collect all JUnit XML reports
find build/test-results/test -name "TEST-*.xml" -exec cat {} \; > all_tests.xml 2>/dev/null || true
 
# Also try to get a single combined report
if [ -f build/test-results/test/TEST-*.xml ]; then
cp build/test-results/test/TEST-*.xml junit.xml 2>/dev/null || true
fi
 
- name: Grade programming tests
working-directory: ${{ github.workspace }}
run: |
# Use extended grading script with group support
python3 ./.autograde/grade_grouped.py \
--junit-dir build/test-results/test \
--groups test_groups.json \
--out grade.json \
--summary summary.md
 
- name: Grade REPORT.md
working-directory: ${{ github.workspace }}
run: |
if [ -f REPORT.md ]; then
python3 ./.autograde/llm_grade.py \
--question "璇疯瘎浼拌繖浠藉悗绔笌绯荤粺璁捐鎶ュ憡" \
--answer REPORT.md \
--out report_grade.json \
--summary report_summary.md
echo "鉁?REPORT.md graded"
else
echo '{"total": 0, "flags": ["missing_file"]}' > report_grade.json
echo "鈿狅笍 REPORT.md not found"
fi
 
- name: Grade FRONTEND.md
working-directory: ${{ github.workspace }}
run: |
if [ -f FRONTEND.md ]; then
python3 ./.autograde/llm_grade.py \
--question "璇疯瘎浼拌繖浠藉墠绔晫闈笌浜や簰璁捐鎶ュ憡" \
--answer FRONTEND.md \
--out frontend_grade.json \
--summary frontend_summary.md
echo "鉁?FRONTEND.md graded"
else
echo '{"total": 0, "flags": ["missing_file"]}' > frontend_grade.json
echo "鈿狅笍 FRONTEND.md not found"
fi
 
- name: Aggregate grades
working-directory: ${{ github.workspace }}
run: |
python3 ./.autograde/aggregate_final_grade.py \
--programming grade.json \
--report report_grade.json \
--frontend frontend_grade.json \
--out final_grade.json \
--summary final_summary.md
 
- name: Generate PDF report
working-directory: ${{ github.workspace }}
env:
REPO: ${{ github.repository }}
COMMIT_SHA: ${{ github.sha }}
run: |
if [ -f final_grade.json ]; then
# 璇诲彇瀛︾敓淇℃伅鏂囦欢锛堝鏋滃瓨鍦級
STUDENT_ID=""
STUDENT_NAME=""
CLASS_NAME=""
 
if [ -f .student_info.json ]; then
STUDENT_ID=$(python3 -c "import json; d=json.load(open('.student_info.json')); print(d.get('student_id',''))" 2>/dev/null || echo "")
STUDENT_NAME=$(python3 -c "import json; d=json.load(open('.student_info.json')); print(d.get('name',''))" 2>/dev/null || echo "")
CLASS_NAME=$(python3 -c "import json; d=json.load(open('.student_info.json')); print(d.get('class_name',''))" 2>/dev/null || echo "")
fi
 
# 濡傛灉娌℃湁瀛︾敓淇℃伅鏂囦欢锛屼粠浠撳簱鍚嶆彁鍙栧鍙? if [ -z "$STUDENT_ID" ]; then
STUDENT_ID=$(echo "$REPO" | sed -n 's/.*-stu[_-]\?\(st\)\?\([0-9]*\)$/\2/p')
fi
 
python3 ./.autograde/generate_pdf_report.py \
--report REPORT.md \
--frontend FRONTEND.md \
--grade final_grade.json \
--images images \
--out grade_report.pdf \
--student-id "$STUDENT_ID" \
--student-name "$STUDENT_NAME" \
--class-name "$CLASS_NAME" \
--commit-sha "$COMMIT_SHA"
fi
 
- name: Upload report to student repo
if: env.RUNNER_METADATA_TOKEN != ''
working-directory: ${{ github.workspace }}
env:
TOKEN: ${{ env.RUNNER_METADATA_TOKEN }}
REPO: ${{ github.repository }}
SERVER_URL: ${{ github.server_url }}
COMMIT_SHA: ${{ github.sha }}
run: |
# 涓婁紶 PDF 鎴?Markdown 鎶ュ憡鍒板鐢熶粨搴? REPORT_FILE=""
if [ -f grade_report.pdf ]; then
REPORT_FILE="grade_report.pdf"
elif [ -f grade_report.md ]; then
REPORT_FILE="grade_report.md"
fi
 
if [ -n "$REPORT_FILE" ]; then
# 浣跨敤鍐呴儴鍦板潃
API_URL="http://gitea:3000/api/v1"
SHORT_SHA=$(echo "$COMMIT_SHA" | cut -c1-7)
DEST_PATH="reports/grade_report_${SHORT_SHA}.${REPORT_FILE##*.}"
 
# Base64 缂栫爜骞朵繚瀛樺埌涓存椂鏂囦欢锛堥伩鍏嶅懡浠よ鍙傛暟杩囬暱锛? CONTENT=$(base64 -w 0 "$REPORT_FILE")
 
# 鍒涘缓璇锋眰 JSON 鏂囦欢
cat > /tmp/upload_request.json << EOF
{"message": "Add grade report for $SHORT_SHA", "content": "$CONTENT"}
EOF
 
# 鍏堝皾璇?POST 鍒涘缓鏂版枃浠? RESULT=$(curl -s -X POST -H "Authorization: token $TOKEN" \
-H "Content-Type: application/json" \
"$API_URL/repos/$REPO/contents/$DEST_PATH" \
-d @/tmp/upload_request.json)
 
if echo "$RESULT" | grep -q '"content"'; then
echo "鉁?Report uploaded to $DEST_PATH"
else
# POST 澶辫触锛屽彲鑳芥枃浠跺凡瀛樺湪锛屽皾璇曡幏鍙?SHA 骞?PUT 鏇存柊
echo "POST failed, trying PUT with SHA..."
SHA=$(curl -s -H "Authorization: token $TOKEN" \
"$API_URL/repos/$REPO/contents/$DEST_PATH" \
| python3 -c "import sys,json; d=json.load(sys.stdin); print(d.get('sha','') if isinstance(d,dict) and 'sha' in d else '')" 2>/dev/null || echo "")
 
if [ -n "$SHA" ]; then
# 鍒涘缓鏇存柊璇锋眰 JSON 鏂囦欢
cat > /tmp/upload_request.json << EOF
{"message": "Update grade report for $SHORT_SHA", "content": "$CONTENT", "sha": "$SHA"}
EOF
 
RESULT=$(curl -s -X PUT -H "Authorization: token $TOKEN" \
-H "Content-Type: application/json" \
"$API_URL/repos/$REPO/contents/$DEST_PATH" \
-d @/tmp/upload_request.json)
 
if echo "$RESULT" | grep -q '"content"'; then
echo "鉁?Report updated at $DEST_PATH"
else
echo "鈿狅笍 Failed to update report: $RESULT"
fi
else
echo "鈿狅笍 Could not get file SHA, upload failed"
fi
fi
 
# 娓呯悊涓存椂鏂囦欢
rm -f /tmp/upload_request.json
fi
 
- name: Create metadata
working-directory: ${{ github.workspace }}
env:
REPO: ${{ github.repository }}
run: |
if [ -f final_grade.json ]; then
export GRADE_TYPE=final
python3 ./.autograde/create_minimal_metadata.py > metadata.json || echo "{}" > metadata.json
fi
 
- name: Upload metadata
if: env.RUNNER_METADATA_TOKEN != ''
working-directory: ${{ github.workspace }}
env:
# 浣跨敤褰撳墠缁勭粐鐨?course-metadata 浠撳簱锛岃€屼笉鏄?Runner 閰嶇疆涓殑纭紪鐮佸€? METADATA_REPO: ${{ github.repository_owner }}/course-metadata
METADATA_TOKEN: ${{ env.RUNNER_METADATA_TOKEN }}
METADATA_BRANCH: ${{ env.RUNNER_METADATA_BRANCH }}
STUDENT_REPO: ${{ github.repository }}
RUN_ID: ${{ github.run_id }}
COMMIT_SHA: ${{ github.sha }}
SERVER_URL: ${{ github.server_url }}
run: |
if [ -f metadata.json ]; then
python3 ./.autograde/upload_metadata.py \
--metadata-file metadata.json \
--metadata-repo "${METADATA_REPO}" \
--branch "${METADATA_BRANCH:-main}" \
--student-repo "${STUDENT_REPO}" \
--run-id "${RUN_ID}" \
--commit-sha "${COMMIT_SHA}" \
--workflow grade \
--server-url "${SERVER_URL}" \
--external-host "${EXTERNAL_GITEA_HOST}"
fi