508 lines
20 KiB
YAML
508 lines
20 KiB
YAML
name: autograde-final-vibevault
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on:
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push:
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branches:
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- main
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tags:
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- 'submit' # 仍然允许标签触发
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- 'submit-*'
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workflow_dispatch:
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permissions:
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contents: read
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pull-requests: write
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jobs:
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# 检查是否应该触发 CI（仅在 commit message 包含 “完成作业” 时执行）
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check-trigger:
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runs-on: docker
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container:
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image: alpine:latest
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outputs:
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should_run: ${{ steps.check.outputs.trigger }}
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steps:
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- name: Check commit message for trigger keyword
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id: check
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run: |
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COMMIT_MSG="${{ github.event.head_commit.message || '' }}"
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echo "Commit message: $COMMIT_MSG"
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if echo "$COMMIT_MSG" | grep -q "完成作业"; then
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echo "trigger=true" >> $GITHUB_OUTPUT
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echo "✅ Commit contains \"完成作业\"，即将执行评分"
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else
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echo "trigger=false" >> $GITHUB_OUTPUT
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echo "⛔ 只有包含“完成作业”的提交才会执行自动评分" >&2
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fi
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grade:
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needs: check-trigger
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if: needs.check-trigger.outputs.should_run == 'true'
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runs-on: docker
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container:
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image: gradle:9.0-jdk21
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options: --user root
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timeout-minutes: 30
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steps:
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- name: Install dependencies (CN mirror)
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run: |
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set -e
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# 替换 Debian/Ubuntu 源为阿里云镜像
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for f in /etc/apt/sources.list /etc/apt/sources.list.d/*.list /etc/apt/sources.list.d/*.sources; do
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[ -f "$f" ] || continue
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sed -i -E 's|https?://deb.debian.org|http://mirrors.aliyun.com|g' "$f" || true
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sed -i -E 's|https?://security.debian.org|http://mirrors.aliyun.com/debian-security|g' "$f" || true
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sed -i -E 's|https?://archive.ubuntu.com|http://mirrors.aliyun.com|g' "$f" || true
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sed -i -E 's|https?://ports.ubuntu.com|http://mirrors.aliyun.com|g' "$f" || true
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done
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apt-get -o Acquire::Check-Valid-Until=false update -y
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DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends git ca-certificates python3 python3-pip rsync \
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libpango-1.0-0 libpangocairo-1.0-0 libgdk-pixbuf2.0-0 libffi-dev shared-mime-info \
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fonts-noto-cjk fonts-wqy-microhei
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pip3 install --break-system-packages python-dotenv requests markdown weasyprint -i https://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com
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# 刷新字体缓存
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fc-cache -f -v > /dev/null 2>&1 || true
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rm -rf /var/lib/apt/lists/*
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- name: Configure Gradle mirror (Aliyun)
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run: |
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mkdir -p ~/.gradle
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cat > ~/.gradle/init.gradle << 'EOF'
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allprojects {
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repositories {
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mavenLocal()
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maven { url 'https://maven.aliyun.com/repository/public' }
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maven { url 'https://maven.aliyun.com/repository/spring' }
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maven { url 'https://maven.aliyun.com/repository/spring-plugin' }
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maven { url 'https://maven.aliyun.com/repository/gradle-plugin' }
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mavenCentral()
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}
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}
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EOF
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echo "✅ Gradle configured to use Aliyun mirror"
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- name: Checkout code
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env:
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GITHUB_TOKEN: ${{ github.token }}
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run: |
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git config --global --add safe.directory ${{ github.workspace }}
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git init
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# Use token for authentication (required for private repos)
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REPO_URL="${{ github.server_url }}/${{ github.repository }}.git"
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AUTH_URL=$(echo "$REPO_URL" | sed "s|://|://${GITHUB_TOKEN}@|")
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git remote add origin "$AUTH_URL"
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git fetch --depth=1 origin ${{ github.sha }}
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git checkout ${{ github.sha }}
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- name: Fix permissions
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run: chown -R $(whoami):$(whoami) ${{ github.workspace }} || true
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- name: Setup local grading scripts
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working-directory: ${{ github.workspace }}
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run: |
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echo "📦 Setting up local grading environment..."
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# Create autograde directory with simple grading scripts
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mkdir -p .autograde
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# Create grade_grouped.py
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cat > .autograde/grade_grouped.py << 'GRADE_SCRIPT'
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import json
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import os
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import sys
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import xml.etree.ElementTree as ET
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from pathlib import Path
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def parse_junit_results(junit_dir):
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results = {"passed": 0, "failed": 0, "total": 0, "tests": []}
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junit_path = Path(junit_dir)
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if not junit_path.exists():
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return results
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for xml_file in junit_path.glob("TEST-*.xml"):
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try:
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tree = ET.parse(xml_file)
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root = tree.getroot()
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for testcase in root.findall(".//testcase"):
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name = testcase.get("name", "unknown")
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classname = testcase.get("classname", "")
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failure = testcase.find("failure")
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error = testcase.find("error")
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status = "passed" if failure is None and error is None else "failed"
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results["tests"].append({"name": f"{classname}.{name}", "status": status})
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results["total"] += 1
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if status == "passed":
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results["passed"] += 1
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else:
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results["failed"] += 1
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except Exception as e:
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print(f"Error parsing {xml_file}: {e}")
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return results
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def main():
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument("--junit-dir", required=True)
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parser.add_argument("--groups", default="test_groups.json")
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parser.add_argument("--out", default="grade.json")
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parser.add_argument("--summary", default="summary.md")
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args = parser.parse_args()
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results = parse_junit_results(args.junit_dir)
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score = int((results["passed"] / max(results["total"], 1)) * 60)
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grade = {
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"programming_score": score,
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"max_score": 60,
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"passed": results["passed"],
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"failed": results["failed"],
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"total": results["total"],
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"tests": results["tests"]
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}
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with open(args.out, "w") as f:
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json.dump(grade, f, indent=2)
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with open(args.summary, "w") as f:
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f.write(f"# Programming Test Results\n\n")
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f.write(f"- **Score**: {score}/60\n")
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f.write(f"- **Passed**: {results['passed']}/{results['total']}\n\n")
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for t in results["tests"]:
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icon = "✅" if t["status"] == "passed" else "❌"
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f.write(f"- {icon} {t['name']}\n")
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print(f"✅ Grade: {score}/60 ({results['passed']}/{results['total']} tests passed)")
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if __name__ == "__main__":
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main()
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GRADE_SCRIPT
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# Create llm_grade.py (simplified - just gives points for having the file)
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cat > .autograde/llm_grade.py << 'LLM_SCRIPT'
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import json
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import argparse
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import os
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("--question", default="")
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parser.add_argument("--answer", required=True)
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parser.add_argument("--rubric", default="")
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parser.add_argument("--out", default="grade.json")
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parser.add_argument("--summary", default="summary.md")
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args = parser.parse_args()
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score = 0
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feedback = ""
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if os.path.exists(args.answer):
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with open(args.answer, "r", encoding="utf-8") as f:
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content = f.read()
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word_count = len(content)
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if word_count > 500:
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score = 10
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feedback = "Report submitted with sufficient content."
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elif word_count > 200:
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score = 7
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feedback = "Report submitted but could use more detail."
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else:
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score = 3
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feedback = "Report is too short."
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else:
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feedback = "Report file not found."
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with open(args.out, "w") as f:
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json.dump({"total": score, "feedback": feedback}, f, indent=2)
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with open(args.summary, "w") as f:
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f.write(f"# Report Grade\n\n- **Score**: {score}/10\n- **Feedback**: {feedback}\n")
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print(f"✅ Report grade: {score}/10")
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if __name__ == "__main__":
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main()
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LLM_SCRIPT
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# Create aggregate_final_grade.py
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cat > .autograde/aggregate_final_grade.py << 'AGG_SCRIPT'
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import json
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import argparse
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def load_json(path):
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try:
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with open(path) as f:
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return json.load(f)
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except:
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return {}
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("--programming", default="grade.json")
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parser.add_argument("--report", default="report_grade.json")
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parser.add_argument("--frontend", default="frontend_grade.json")
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parser.add_argument("--out", default="final_grade.json")
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parser.add_argument("--summary", default="final_summary.md")
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args = parser.parse_args()
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prog = load_json(args.programming)
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report = load_json(args.report)
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frontend = load_json(args.frontend)
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prog_score = prog.get("programming_score", 0)
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report_score = report.get("total", 0)
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frontend_score = frontend.get("total", 0)
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total = prog_score + report_score + frontend_score
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final = {
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"total": total,
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"programming": prog_score,
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"report": report_score,
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"frontend": frontend_score
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}
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with open(args.out, "w") as f:
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json.dump(final, f, indent=2)
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with open(args.summary, "w") as f:
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f.write(f"# Final Grade Summary\n\n")
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f.write(f"| Category | Score |\n|----------|-------|\n")
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f.write(f"| Programming | {prog_score}/60 |\n")
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f.write(f"| Report | {report_score}/10 |\n")
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f.write(f"| Frontend | {frontend_score}/10 |\n")
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f.write(f"| **Total** | **{total}/80** |\n")
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print(f"🎯 Final grade: {total}/80")
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if __name__ == "__main__":
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main()
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AGG_SCRIPT
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# Create minimal metadata script
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cat > .autograde/create_minimal_metadata.py << 'META_SCRIPT'
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import json
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import os
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grade_file = "final_grade.json"
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if os.path.exists(grade_file):
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with open(grade_file) as f:
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data = json.load(f)
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print(json.dumps({"grade": data.get("total", 0), "status": "graded"}))
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else:
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print(json.dumps({"grade": 0, "status": "error"}))
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META_SCRIPT
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# Create upload_metadata.py (stub)
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cat > .autograde/upload_metadata.py << 'UPLOAD_SCRIPT'
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print("Metadata upload skipped (local mode)")
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UPLOAD_SCRIPT
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# Note: generate_pdf_report.py is NOT overwritten - use the one from repo
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echo "✅ Local grading scripts created"
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- name: Run tests
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working-directory: ${{ github.workspace }}
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run: |
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gradle test --no-daemon || true
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# Collect all JUnit XML reports
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find build/test-results/test -name "TEST-*.xml" -exec cat {} \; > all_tests.xml 2>/dev/null || true
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# Also try to get a single combined report
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if [ -f build/test-results/test/TEST-*.xml ]; then
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cp build/test-results/test/TEST-*.xml junit.xml 2>/dev/null || true
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fi
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- name: Grade programming tests
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working-directory: ${{ github.workspace }}
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run: |
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# Use extended grading script with group support
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python3 ./.autograde/grade_grouped.py \
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--junit-dir build/test-results/test \
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--groups test_groups.json \
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--out grade.json \
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--summary summary.md
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- name: Grade REPORT.md
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working-directory: ${{ github.workspace }}
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run: |
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if [ -f REPORT.md ]; then
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python3 ./.autograde/llm_grade.py \
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--question "请评估这份后端与系统设计报告" \
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--answer REPORT.md \
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--out report_grade.json \
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--summary report_summary.md
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echo "✅ REPORT.md graded"
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else
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echo '{"total": 0, "flags": ["missing_file"]}' > report_grade.json
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echo "⚠️ REPORT.md not found"
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fi
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- name: Grade FRONTEND.md
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working-directory: ${{ github.workspace }}
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run: |
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if [ -f FRONTEND.md ]; then
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python3 ./.autograde/llm_grade.py \
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--question "请评估这份前端界面与交互设计报告" \
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--answer FRONTEND.md \
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--out frontend_grade.json \
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--summary frontend_summary.md
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echo "✅ FRONTEND.md graded"
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else
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echo '{"total": 0, "flags": ["missing_file"]}' > frontend_grade.json
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echo "⚠️ FRONTEND.md not found"
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fi
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- name: Aggregate grades
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working-directory: ${{ github.workspace }}
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run: |
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python3 ./.autograde/aggregate_final_grade.py \
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--programming grade.json \
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--report report_grade.json \
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--frontend frontend_grade.json \
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--out final_grade.json \
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--summary final_summary.md
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- name: Generate PDF report
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working-directory: ${{ github.workspace }}
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env:
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REPO: ${{ github.repository }}
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COMMIT_SHA: ${{ github.sha }}
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run: |
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if [ -f final_grade.json ]; then
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# 读取学生信息文件（如果存在）
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STUDENT_ID=""
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STUDENT_NAME=""
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CLASS_NAME=""
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if [ -f .student_info.json ]; then
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STUDENT_ID=$(python3 -c "import json; d=json.load(open('.student_info.json')); print(d.get('student_id',''))" 2>/dev/null || echo "")
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STUDENT_NAME=$(python3 -c "import json; d=json.load(open('.student_info.json')); print(d.get('name',''))" 2>/dev/null || echo "")
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CLASS_NAME=$(python3 -c "import json; d=json.load(open('.student_info.json')); print(d.get('class_name',''))" 2>/dev/null || echo "")
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fi
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# 如果没有学生信息文件，从仓库名提取学号
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if [ -z "$STUDENT_ID" ]; then
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STUDENT_ID=$(echo "$REPO" | sed -n 's/.*-stu[_-]\?\(st\)\?\([0-9]*\)$/\2/p')
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fi
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python3 ./.autograde/generate_pdf_report.py \
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--report REPORT.md \
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--frontend FRONTEND.md \
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--grade final_grade.json \
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--images images \
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--out grade_report.pdf \
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--student-id "$STUDENT_ID" \
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--student-name "$STUDENT_NAME" \
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--class-name "$CLASS_NAME" \
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--commit-sha "$COMMIT_SHA"
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fi
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- name: Upload report to student repo
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if: env.RUNNER_METADATA_TOKEN != ''
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working-directory: ${{ github.workspace }}
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env:
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TOKEN: ${{ env.RUNNER_METADATA_TOKEN }}
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REPO: ${{ github.repository }}
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SERVER_URL: ${{ github.server_url }}
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COMMIT_SHA: ${{ github.sha }}
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run: |
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# 上传 PDF 或 Markdown 报告到学生仓库
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REPORT_FILE=""
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if [ -f grade_report.pdf ]; then
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REPORT_FILE="grade_report.pdf"
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elif [ -f grade_report.md ]; then
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REPORT_FILE="grade_report.md"
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fi
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if [ -n "$REPORT_FILE" ]; then
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# 使用内部地址
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API_URL="http://gitea:3000/api/v1"
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SHORT_SHA=$(echo "$COMMIT_SHA" | cut -c1-7)
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DEST_PATH="reports/grade_report_${SHORT_SHA}.${REPORT_FILE##*.}"
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# Base64 编码并保存到临时文件（避免命令行参数过长）
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CONTENT=$(base64 -w 0 "$REPORT_FILE")
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# 创建请求 JSON 文件
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cat > /tmp/upload_request.json << EOF
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{"message": "Add grade report for $SHORT_SHA", "content": "$CONTENT"}
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EOF
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# 先尝试 POST 创建新文件
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RESULT=$(curl -s -X POST -H "Authorization: token $TOKEN" \
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-H "Content-Type: application/json" \
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"$API_URL/repos/$REPO/contents/$DEST_PATH" \
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-d @/tmp/upload_request.json)
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if echo "$RESULT" | grep -q '"content"'; then
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echo "✅ Report uploaded to $DEST_PATH"
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else
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# POST 失败，可能文件已存在，尝试获取 SHA 并 PUT 更新
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echo "POST failed, trying PUT with SHA..."
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SHA=$(curl -s -H "Authorization: token $TOKEN" \
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"$API_URL/repos/$REPO/contents/$DEST_PATH" \
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| 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 "")
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if [ -n "$SHA" ]; then
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# 创建更新请求 JSON 文件
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cat > /tmp/upload_request.json << EOF
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{"message": "Update grade report for $SHORT_SHA", "content": "$CONTENT", "sha": "$SHA"}
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EOF
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RESULT=$(curl -s -X PUT -H "Authorization: token $TOKEN" \
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-H "Content-Type: application/json" \
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"$API_URL/repos/$REPO/contents/$DEST_PATH" \
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-d @/tmp/upload_request.json)
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if echo "$RESULT" | grep -q '"content"'; then
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echo "✅ Report updated at $DEST_PATH"
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else
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echo "⚠️ Failed to update report: $RESULT"
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fi
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else
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echo "⚠️ Could not get file SHA, upload failed"
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fi
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fi
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# 清理临时文件
|
||
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:
|
||
# 使用当前组织的 course-metadata 仓库，而不是 Runner 配置中的硬编码值
|
||
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
|
||
|