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skill-template/scripts/db/task_logs_repository.py
chendelian e366605299
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feat: 规范标准时间字段 created_at/updated_at(Unix 秒级、元数据、trigger)
2026-07-01 18:51:33 +08:00

87 lines
2.5 KiB
Python

"""task_logs 表读写模板。
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。
不假设任何特定业务(发布、对账、审核等都可复用)。
"""
from __future__ import annotations
from typing import Any, List, Optional, Tuple
from db.connection import get_conn, init_db
def save_task_log(
task_type: str,
target_id: Optional[str] = None,
input_id: Optional[str] = None,
input_title: Optional[str] = None,
status: str = "success",
error_msg: Optional[str] = None,
result_summary: Optional[str] = None,
) -> int:
init_db()
conn = get_conn()
try:
cur = conn.cursor()
cur.execute(
"""
INSERT INTO task_logs
(task_type, target_id, input_id, input_title, status, error_msg, result_summary)
VALUES (?, ?, ?, ?, ?, ?, ?)
""",
(task_type, target_id, input_id, input_title or "", status, error_msg, result_summary),
)
new_id = int(cur.lastrowid)
conn.commit()
finally:
conn.close()
return new_id
def list_task_logs(
limit: int,
status: Optional[str] = None,
task_type: Optional[str] = None,
target_id: Optional[str] = None,
) -> List[Tuple[Any, ...]]:
init_db()
conn = get_conn()
try:
cur = conn.cursor()
sql = (
"SELECT id, task_type, target_id, input_id, input_title, status, error_msg, result_summary, "
"created_at, updated_at FROM task_logs WHERE 1=1 "
)
params: List[Any] = []
if status:
sql += "AND status = ? "
params.append(status)
if task_type:
sql += "AND task_type = ? "
params.append(task_type)
if target_id:
sql += "AND target_id = ? "
params.append(target_id)
sql += "ORDER BY created_at DESC, id DESC LIMIT ?"
params.append(int(limit))
cur.execute(sql, tuple(params))
return list(cur.fetchall())
finally:
conn.close()
def get_task_log_by_id(log_id: int) -> Optional[Tuple[Any, ...]]:
init_db()
conn = get_conn()
try:
cur = conn.cursor()
cur.execute(
"SELECT id, task_type, target_id, input_id, input_title, status, error_msg, result_summary, "
"created_at, updated_at FROM task_logs WHERE id = ?",
(int(log_id),),
)
return cur.fetchone()
finally:
conn.close()