yuzhiran
7e953afbd2
- 新增创作工作台 studio.html：合并选题/内容工厂/文章管理为单一 tab 入口（iframe embed 模式） - 新增 AI味检测模块（ai_slop API + 页面，合规软硬问题分级） - 新增白标品牌配置（branding API + 页面 + deploy 私有化交付包） - 发布闭环：publishing 放宽至 editor + records/mark-published 接口 - 移动端响应式补全（admin/calendar/ai-slop 表格卡片兜底） - 修复菜单幂等播种缺陷（按 path 对齐，避免功能页孤立） - 新增短视频脚本 shortvideo.py 与 2026 市场调研简报
73 lines
3.4 KiB
Python
73 lines
3.4 KiB
Python
import subprocess
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from pathlib import Path
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import logging
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import os
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import json
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import time
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import threading
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from datetime import datetime
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from typing import List, Optional, Dict
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logger = logging.getLogger(__name__)
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PROJECT_ROOT = Path(__file__).resolve().parents[4]
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if os.getenv('PROJECT_ROOT'):
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PROJECT_ROOT = Path(os.getenv('PROJECT_ROOT'))
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_running_processes: Dict[str, dict] = {}
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_lock = threading.Lock()
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def _get_cmd(topic_ids: List[str] = None):
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script_path = PROJECT_ROOT / "scripts" / "compliance_optimizer.py"
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if not script_path.exists():
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raise FileNotFoundError(f"Optimizer script not found: {script_path}")
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venv_python = PROJECT_ROOT / "platform" / "backend" / "venv" / "bin" / "python"
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cmd = [str(venv_python), str(script_path)] if venv_python.exists() else ["python3", str(script_path)]
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if topic_ids:
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cmd.extend(["--topic-ids", ','.join(topic_ids)])
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# 不再使用 --today-only，避免三平台串行撰写时小红书文章错过审查窗口
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return cmd
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def run_optimizer(topic_ids: List[str] = None):
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"""非阻塞：后台启动合规审查脚本，立即返回"""
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with _lock:
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existing = _running_processes.get("optimizer", {})
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proc = existing.get("process")
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if proc and proc.poll() is None:
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raise RuntimeError("已有合规审查任务正在运行，请等待完成后再试")
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cmd = _get_cmd(topic_ids)
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proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, cwd=str(PROJECT_ROOT))
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_running_processes["optimizer"] = {"pid": proc.pid, "started_at": time.time(), "process": proc, "topic_ids": topic_ids}
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logger.info("Optimizer started in background (pid=%s, topic_ids=%s)", proc.pid, topic_ids)
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return {"ok": True, "pid": proc.pid, "topic_ids": topic_ids, "_proc": proc}
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def run_optimizer_blocking(topic_ids: List[str] = None, timeout: int = 600):
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"""阻塞版：带超时，给定时任务使用"""
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cmd = _get_cmd(topic_ids)
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result = subprocess.run(cmd, cwd=str(PROJECT_ROOT), capture_output=True, text=True, timeout=timeout)
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if result.returncode != 0:
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logger.error(f"Optimizer failed: {result.stderr}")
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return {"ok": False, "error": result.stderr}
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report_date = datetime.now().strftime("%Y-%m-%d")
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report_path = PROJECT_ROOT / "automation" / "data" / "drafts" / report_date / "optimization_report.json"
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if report_path.exists():
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report = json.loads(report_path.read_text(encoding='utf-8'))
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return {"ok": True, "report": report}
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else:
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logger.warning(f"Report not found: {report_path}")
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return {"ok": True, "report": None, "stdout": result.stdout}
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def get_optimizer_status() -> Optional[Dict]:
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info = _running_processes.get("optimizer")
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if not info:
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return None
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proc = info["process"]
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if "finished" in info:
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return {"status": "completed" if info.get("returncode") == 0 else "failed", "pid": info["pid"], "elapsed": round(time.time() - info["started_at"], 1), "returncode": info.get("returncode")}
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if proc.poll() is not None:
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info["returncode"] = proc.returncode
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info["finished"] = True
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elapsed = time.time() - info["started_at"]
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return {"status": "completed" if proc.returncode == 0 else "failed", "pid": info["pid"], "elapsed": round(elapsed, 1), "returncode": proc.returncode}
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return {"status": "running", "pid": info["pid"], "elapsed": round(time.time() - info["started_at"], 1)}
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