yumoqing 2448ad45f7 refactor: 改造为通用产线执行引擎模块
- 去掉独立 aiohttp 服务器,改为标准模块(load_pipeline_service)
- 存储从文件系统改 MySQL(sqlor)
- 新增 3 张数据表:pipeline_tasks/task_steps/artifacts
- 多租户隔离(tenant_id)
- 通用 DAG 调度引擎(读 pipeline_steps 表,不硬编码业务)
- 可插拔步骤处理器(register_handler by step_type)
- artifact 版本管理 + 级联重跑
- init/data.json 标准 appcodes 格式
- 完整 README 文档
2026-06-11 17:30:06 +08:00

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#!/usr/bin/env bash
set -e
cdir=$(cd "$(dirname "$0")" && pwd)
cd "$cdir"
echo "=== pipeline-service Build ==="
# 1. Create venv if not exists
if [ ! -d py3 ]; then
python3 -m venv py3
fi
source py3/bin/activate
# 2. Install foundation packages
mkdir -p pkgs
for m in apppublic sqlor ahserver xls2ddl; do
echo "install $m ..."
cd "$cdir/pkgs"
if [ ! -d "$m" ]; then
git clone https://git.opencomputing.cn/yumoqing/$m 2>/dev/null || echo "SKIP: $m"
fi
if [ -d "$m" ]; then
cd "$m"
"$cdir/py3/bin/pip" install . 2>&1 | tail -1
fi
cd "$cdir"
done
# 3. Install self
echo "install pipeline_service ..."
"$cdir/py3/bin/pip" install . 2>&1 | tail -1
# 4. Generate DDL from models
if [ -d models ] && ls models/*.json >/dev/null 2>&1; then
echo "generating DDL ..."
"$cdir/py3/bin/json2ddl" mysql models/ > "$cdir/mysql.ddl.sql" 2>/dev/null || echo " DDL generation skipped (json2ddl not available)"
fi
# 5. Create runtime dirs
mkdir -p "$cdir/logs"
chmod +x "$cdir/scripts/load_path.py" 2>/dev/null || true
echo "=== Build complete ==="
echo ""
echo "Next steps:"
echo " 1. CREATE DATABASE pipeline;"
echo " 2. mysql -u root -p pipeline < mysql.ddl.sql"
echo " 3. Load appcodes: init/data.json via host app build.sh"
echo " 4. Register step handlers in host app"