nixevol
dab672621c
- 源/仓库各自可在直连(FTP/SFTP、MySQL)与 Metrix 存储/数据库平台间独立选择，两侧互不依赖 - Metrix 模式下源走平台储存 API、仓库走平台导入 + run-script(single_session)、查看导出代理到平台 - 去掉对外 API 文档与 API Token（前后端 + auth/config 解耦），业务接口仅登录态可访问 - 授权默认到期日改为 2026-12-30 - 设置页卡片改横向自适应（宽屏并排、窄屏换行），处理历史保留卡片收窄
105 lines
3.6 KiB
Python
105 lines
3.6 KiB
Python
import shutil
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import uuid
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from datetime import datetime
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from pathlib import Path
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from threading import Thread
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from fastapi import APIRouter, Body, HTTPException
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from app import state
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from app.api.routers.task_runtime import set_task_stage
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from app.config import AppConfig, CACHE_DIR, SQL_SCRIPT
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from app.processor import DataProcessor, ProcessLogger
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router = APIRouter(tags=["script"])
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@router.get("/api/script/content")
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async def get_script_content():
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try:
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if not SQL_SCRIPT.exists():
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return {
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"success": True,
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"content": "# SQL 脚本文件不存在，请在此编写脚本\n",
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"modified": None,
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"path": str(SQL_SCRIPT),
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}
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modified = datetime.fromtimestamp(SQL_SCRIPT.stat().st_mtime).strftime("%Y-%m-%d %H:%M:%S")
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return {
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"success": True,
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"content": SQL_SCRIPT.read_text(encoding="utf-8"),
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"modified": modified,
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"path": str(SQL_SCRIPT),
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}
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except Exception as exc:
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return {"success": False, "error": str(exc)}
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@router.post("/api/script/execute")
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async def execute_script():
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if state.global_task_lock["locked"]:
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raise HTTPException(status_code=409, detail="已有任务在运行，请等待完成")
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task_id = f"script_{uuid.uuid4().hex[:8]}"
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state.global_task_lock.update(
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{
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"locked": True,
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"task_id": task_id,
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"stage": "processing",
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"started_at": datetime.now().isoformat(),
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}
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)
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logs: list[str] = []
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def log_callback(message: str) -> None:
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logs.append(message)
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set_task_stage(task_id, "processing", logs)
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logger = ProcessLogger(log_file=None, callback=log_callback)
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set_task_stage(task_id, "processing", logs)
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app_config = state.current_config()
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thread = Thread(target=_run_script, args=(task_id, logger, logs, app_config), daemon=True)
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thread.start()
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return {"success": True, "message": "脚本执行任务已启动", "task_id": task_id}
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@router.post("/api/script/save")
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async def save_script_content(content: str = Body(..., embed=True)):
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try:
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if SQL_SCRIPT.exists():
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shutil.copy(SQL_SCRIPT, SQL_SCRIPT.with_suffix(".sql.bak"))
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SQL_SCRIPT.write_text(content, encoding="utf-8")
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modified = datetime.fromtimestamp(SQL_SCRIPT.stat().st_mtime).strftime("%Y-%m-%d %H:%M:%S")
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return {"success": True, "message": "脚本保存成功", "modified": modified}
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except Exception as exc:
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return {"success": False, "error": str(exc)}
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def _run_script(task_id: str, logger: ProcessLogger, logs: list[str], app_config: AppConfig) -> None:
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temp_work_dir: Path | None = None
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try:
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logger.info("开始执行 SQL 脚本...")
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if app_config.warehouse_type == "metrix":
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from app.services.pipeline import run_report_sql
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run_report_sql(app_config, logger)
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else:
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temp_work_dir = CACHE_DIR / task_id
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temp_work_dir.mkdir(parents=True, exist_ok=True)
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processor = DataProcessor(app_config, temp_work_dir, logger)
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processor._execute_sql_script()
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logger.success("SQL 脚本执行完成")
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set_task_stage(task_id, "completed", logs, status="completed")
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except Exception as exc:
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logger.error(f"SQL 脚本执行失败: {exc}")
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set_task_stage(task_id, "failed", logs, status="failed")
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finally:
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if temp_work_dir and temp_work_dir.exists():
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shutil.rmtree(temp_work_dir, ignore_errors=True)
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state.reset_task_lock()
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