#!/usr/bin/env python3 from __future__ import annotations import argparse import re import shutil import sys from datetime import datetime from pathlib import Path ROOT = Path(__file__).resolve().parents[1] sys.path.insert(0, str(ROOT)) from app.data import ( # noqa: E402 append_operation_log, course_summary_semantic_key, create_course_summary_review_task, normalize_course_summary, read_admin_tasks, read_course_summary_state, safe_filename_part, sha1_text, write_course_summary_state, ) EXCLUDE_MARKDOWN = { "微信聊天记录ID映射表.md", "采集记录表.md", "课程记录核对表.md", } EXCLUDE_PREFIXES = ( "已采集小结记录", "classnotes缺失", "课程小结缺失", "疑似 classnotes 出错", "疑似课程小结待复核", "正文日期晚于发送日期待复核", ) def parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser(description="导入历史课程小结 Markdown 到 VPS 数据目录") parser.add_argument("--source", required=True, type=Path, help="本机历史课程小结采集目录") parser.add_argument("--target", default=Path("/data/course_summaries"), type=Path, help="VPS 课程小结正式目录") parser.add_argument("--state", default=Path("/data/course_summary_state.json"), type=Path, help="课程小结状态文件") parser.add_argument("--tasks", default=Path("/data/admin_tasks.json"), type=Path, help="管理任务文件") parser.add_argument("--operation-logs", default=Path("/data/operation_logs.jsonl"), type=Path, help="操作日志文件") parser.add_argument("--missing-table", type=Path, help="历史 classnotes缺失.txt;不传则尝试 source/classnotes缺失.txt") parser.add_argument("--dry-run", action="store_true", help="只统计,不写入") return parser.parse_args() def should_import_markdown(path: Path, source: Path) -> bool: if path.name in EXCLUDE_MARKDOWN or any(path.name.startswith(prefix) for prefix in EXCLUDE_PREFIXES): return False if any(part in {"__pycache__", "临时解析归档", "推送归档", "推送失败队列"} for part in path.relative_to(source).parts): return False return path.suffix.lower() == ".md" def split_name_from_path(path: Path) -> tuple[str, str, str]: parts = path.stem.split("_") student = path.parent.name if path.parent.name else (parts[0] if parts else "") teacher = parts[1] if len(parts) >= 2 else "" subject = parts[2] if len(parts) >= 3 else "" return student, teacher, subject def iter_markdown_entries(path: Path) -> list[dict]: text = path.read_text(encoding="utf-8", errors="ignore") student, teacher, subject = split_name_from_path(path) group = student current_title = "" current_body: list[str] = [] entries: list[dict] = [] def flush() -> None: if not current_title: return body = "\n".join(current_body).strip() date_match = re.search(r"(\d{4}[.-]\d{2}[.-]\d{2})", current_title) if not date_match or not body: return time_match = re.search(r"(\d{1,2}:\d{2}-\d{1,2}:\d{2})", current_title) source_seed = f"{path}|{current_title}|{body[:120]}" entries.append( { "source_id": f"history:{sha1_text(source_seed, 24)}", "student": student, "date_iso": date_match.group(1).replace(".", "-"), "time_range": time_match.group(1) if time_match else "", "teacher": teacher, "subject": subject, "group": group, "title": current_title, "body": body, "recognition_source": "history_import", "confidence": "history", "teacher_trusted": False, "remark": f"历史导入:{path}", } ) for line in text.splitlines(): if line.startswith("## ") and not line.startswith("### "): group = line.removeprefix("## ").strip() or group continue if line.startswith("### "): flush() current_title = line.removeprefix("### ").strip() current_body = [] continue if current_title: if line.startswith("> 来源ID") or line.startswith("> 发送时间") or line.startswith("> 发送者"): continue current_body.append(line) flush() return entries def copy_markdown_files(source: Path, target: Path, dry_run: bool) -> tuple[int, int]: copied = 0 scanned = 0 for path in sorted(source.rglob("*.md")): if not should_import_markdown(path, source): continue scanned += 1 relative = path.relative_to(source) dest = target / relative if dest.exists() and dest.read_text(encoding="utf-8", errors="ignore") == path.read_text(encoding="utf-8", errors="ignore"): continue copied += 1 if not dry_run: dest.parent.mkdir(parents=True, exist_ok=True) shutil.copy2(path, dest) return scanned, copied def rebuild_state_from_markdown(source: Path, state_path: Path, dry_run: bool) -> tuple[int, int]: state = read_course_summary_state(state_path) seen_source_ids = set(str(item) for item in state.get("seen_source_ids", [])) seen_semantic_keys = set(str(item) for item in state.get("seen_semantic_keys", [])) imported = 0 skipped = 0 for path in sorted(source.rglob("*.md")): if not should_import_markdown(path, source): continue for entry in iter_markdown_entries(path): try: summary = normalize_course_summary(entry) seen_source_ids.add(summary["source_id"]) seen_semantic_keys.add(course_summary_semantic_key(summary)) imported += 1 except ValueError: skipped += 1 state["seen_source_ids"] = sorted(seen_source_ids) state["seen_semantic_keys"] = sorted(seen_semantic_keys) state.setdefault("batches", []).append( { "batch_id": f"history-import-{datetime.now().strftime('%Y%m%d%H%M%S')}", "received_at": datetime.now().isoformat(timespec="seconds"), "window": {"mode": "历史导入"}, "students": [], "result": {"received": imported, "saved": 0, "auto_registered": 0, "review_pending": 0, "duplicates": 0, "rejected": skipped}, } ) state["batches"] = state["batches"][-200:] if not dry_run: write_course_summary_state(state_path, state) return imported, skipped def parse_missing_table(path: Path) -> list[dict]: if not path.exists(): return [] rows: list[dict] = [] headers: list[str] = [] for raw_line in path.read_text(encoding="utf-8", errors="ignore").splitlines(): line = raw_line.strip() if not line.startswith("| ") or "---" in line: continue cells = [cell.strip() for cell in line.strip("|").split("|")] if cells and cells[0] == "日期": headers = cells continue if not headers or len(cells) != len(headers): continue row = dict(zip(headers, cells, strict=False)) if row.get("学生"): rows.append(row) return rows def import_missing_tasks(missing_table: Path, tasks_path: Path, dry_run: bool) -> int: rows = parse_missing_table(missing_table) if not rows: return 0 existing = read_admin_tasks(tasks_path) existing_source_ids = {str(item.get("source_id") or "") for item in existing.get("items", [])} created = 0 for row in rows: source_seed = "|".join(str(row.get(key, "")) for key in ("日期", "学生", "老师", "科目", "来源文件", "备注")) source_id = f"history-missing:{sha1_text(source_seed, 20)}" if source_id in existing_source_ids: continue summary = { "source_id": source_id, "student": row.get("学生", ""), "date_iso": str(row.get("日期", "")).replace(".", "-"), "time_range": row.get("时间段", ""), "duration": row.get("时长", ""), "teacher": row.get("老师", ""), "subject": row.get("科目", ""), "group": row.get("群聊", ""), "title": "历史 classnotes 缺失", "body": f"历史 classnotes 缺失项:{source_seed}", "recognition_source": "history_missing_table", "confidence": "review", "teacher_trusted": False, "remark": row.get("备注", ""), } created += 1 if not dry_run: create_course_summary_review_task( tasks_path, summary, "", ["历史 classnotes缺失导入,默认只进入审核,不自动扣课时"], saved_path=row.get("来源文件", ""), ) existing_source_ids.add(source_id) return created def main() -> None: args = parse_args() source = args.source.resolve() target = args.target.resolve() missing_table = args.missing_table or (source / "classnotes缺失.txt") scanned, copied = copy_markdown_files(source, target, args.dry_run) imported, skipped = rebuild_state_from_markdown(target if target.exists() else source, args.state, args.dry_run) review_tasks = import_missing_tasks(missing_table, args.tasks, args.dry_run) if not args.dry_run: append_operation_log( args.operation_logs, "history_course_summary_import", "completed", source=str(source), target=str(target), scanned_files=scanned, copied_files=copied, indexed_summaries=imported, skipped_summaries=skipped, review_tasks=review_tasks, ) print( f"历史小结导入完成:扫描 Markdown {scanned} 个,复制 {copied} 个," f"索引小结 {imported} 条,跳过 {skipped} 条,生成审核任务 {review_tasks} 条。" ) if __name__ == "__main__": main()