89 lines
2.6 KiB
Python
89 lines
2.6 KiB
Python
"""task_logs 表读写模板。
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通用业务日志仓储：记录每次任务执行的 task_type / target / input / 状态 / 结果摘要。
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不假设任何特定业务（发布、对账、审核等都可复用）。
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"""
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from __future__ import annotations
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from typing import Any, List, Optional, Tuple
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from db.connection import get_conn, init_db
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from util.timeutil import now_unix
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def save_task_log(
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task_type: str,
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target_id: Optional[str] = None,
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input_id: Optional[str] = None,
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input_title: Optional[str] = None,
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status: str = "success",
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error_msg: Optional[str] = None,
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result_summary: Optional[str] = None,
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) -> int:
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init_db()
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now = now_unix()
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conn = get_conn()
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try:
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cur = conn.cursor()
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cur.execute(
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"""
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INSERT INTO task_logs
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(task_type, target_id, input_id, input_title, status, error_msg, result_summary, created_at, updated_at)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
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""",
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(task_type, target_id, input_id, input_title or "", status, error_msg, result_summary, now, now),
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)
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new_id = int(cur.lastrowid)
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conn.commit()
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finally:
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conn.close()
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return new_id
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def list_task_logs(
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limit: int,
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status: Optional[str] = None,
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task_type: Optional[str] = None,
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target_id: Optional[str] = None,
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) -> List[Tuple[Any, ...]]:
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init_db()
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conn = get_conn()
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try:
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cur = conn.cursor()
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sql = (
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"SELECT id, task_type, target_id, input_id, input_title, status, error_msg, result_summary, "
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"created_at, updated_at FROM task_logs WHERE 1=1 "
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)
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params: List[Any] = []
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if status:
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sql += "AND status = ? "
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params.append(status)
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if task_type:
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sql += "AND task_type = ? "
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params.append(task_type)
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if target_id:
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sql += "AND target_id = ? "
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params.append(target_id)
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sql += "ORDER BY created_at DESC, id DESC LIMIT ?"
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params.append(int(limit))
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cur.execute(sql, tuple(params))
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return list(cur.fetchall())
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finally:
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conn.close()
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def get_task_log_by_id(log_id: int) -> Optional[Tuple[Any, ...]]:
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init_db()
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conn = get_conn()
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try:
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cur = conn.cursor()
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cur.execute(
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"SELECT id, task_type, target_id, input_id, input_title, status, error_msg, result_summary, "
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"created_at, updated_at FROM task_logs WHERE id = ?",
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(int(log_id),),
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)
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return cur.fetchone()
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finally:
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conn.close()
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