first commit
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#!/usr/bin/env python3
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"""
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考勤报表导出 — 签到记录粒度
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[AI Agent 强制门禁] 调用本脚本前必须先阅读：
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references/attendance-report.md
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本脚本是"签到报表导出工作流"的执行末端，工作流完整定义在 attendance-report.md。
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[严禁] 仅凭本脚本 docstring 或 --help 输出就直接拼命令执行。
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导出签到报表：每条签到记录一行，包含签到详情（地点、经纬度、拜访客户、图片等）。
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前置依赖：
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pip install openpyxl
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用法:
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python attendance_report_checkin.py \
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--users userId1,userId2,... \
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--start "2026-04-01 00:00:00" \
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--end "2026-04-07 23:59:59" \
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[--out 签到报表_研发部_20260401_20260407.xlsx]
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[--inspect]
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"""
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from __future__ import annotations
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import argparse
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import json
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import subprocess
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import sys
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from datetime import datetime, timedelta
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from typing import Any
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# ── 前置依赖检查（在任何 dws 调用之前就检测，避免查完数据才报错）───────
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_missing_deps: list[str] = []
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try:
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import openpyxl as _openpyxl_check # noqa: F401
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except ImportError:
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_missing_deps.append("openpyxl")
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try:
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import requests as _requests_check # noqa: F401
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except ImportError:
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_missing_deps.append("requests")
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try:
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from PIL import Image as _pil_check # noqa: F401
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except ImportError:
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_missing_deps.append("Pillow")
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if _missing_deps:
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print(
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f"[ERROR] 缺少以下依赖：{', '.join(_missing_deps)}\n"
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f" 请先安装：pip install {' '.join(_missing_deps)}\n"
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"安装后重新执行本脚本。\n"
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"（签到报表需要 openpyxl 生成 Excel、requests + Pillow 下载并嵌入签到图片）",
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file=sys.stderr,
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)
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sys.exit(2)
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import attendance_report_common as cmn
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# ─────────────────────────────────────────────────────────────────────────────
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# 自动获取当前认证的 operator 信息
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# ─────────────────────────────────────────────────────────────────────────────
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def _get_operator_context() -> tuple[str, str]:
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"""
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从 `dws auth status --format json` 自动获取当前认证的 corp_id 和 user_id。
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签到接口 (checkin records) 必须传 --operator-corp-id 和 --operator-staff-id，
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这两个值来自 dws 的认证上下文（即 `dws auth status` 返回的 corp_id / user_id），
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而非 `dws contact user get-self` 返回的长格式 userId。
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Returns:
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(operator_corp_id, operator_staff_id) 元组
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Raises:
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SystemExit: 未登录或无法获取认证信息时直接退出
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"""
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try:
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result = subprocess.run(
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["dws", "auth", "status", "--format", "json"],
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capture_output=True,
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text=True,
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timeout=30,
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)
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except FileNotFoundError:
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cmn.error("未找到 dws 命令，请确认 dws CLI 已安装并在 PATH 中")
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sys.exit(2)
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except subprocess.TimeoutExpired:
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cmn.error("dws auth status 超时，请检查网络或重新登录（dws auth login）")
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sys.exit(2)
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if result.returncode != 0:
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cmn.error(
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"获取认证信息失败，请确保已执行 dws auth login 完成登录。\n"
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f" 错误详情：{(result.stderr or result.stdout or '').strip()}"
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)
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sys.exit(2)
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try:
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auth_data = json.loads(result.stdout)
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except json.JSONDecodeError:
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cmn.error(f"dws auth status 返回非 JSON：{result.stdout[:200]!r}")
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sys.exit(2)
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corp_id = auth_data.get("corp_id") or auth_data.get("corpId") or ""
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user_id = auth_data.get("user_id") or auth_data.get("userId") or ""
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if not corp_id or not user_id:
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cmn.error(
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"无法从认证信息中提取 corp_id / user_id，请重新登录：\n"
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" dws auth login\n"
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f" 当前返回：{json.dumps(auth_data, ensure_ascii=False)[:300]}"
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)
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sys.exit(2)
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cmn.log(f"[auth] 已获取 operator 信息：corp_id={corp_id}, user_id={user_id}")
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return str(corp_id), str(user_id)
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# 签到接口限制：开始到结束最多 7 天
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MAX_DAYS_PER_CHECKIN_SLICE = 7
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# 签到接口限制：每次最多查 100 人（与 check record 一致）
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MAX_USERS_PER_CHECKIN_BATCH = 50
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# 最多支持 9 张图片列
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MAX_IMAGE_COLUMNS = 9
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# 报表表头（与用户要求严格对齐）
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REPORT_HEADERS = [
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"姓名", "部门", "完整部门",
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"日期", "时间",
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"经度", "纬度", "地点", "详细地址",
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"拜访客户", "客户部门名称", "工作内容",
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"手机标识",
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] + [f"图片{i}" for i in range(1, MAX_IMAGE_COLUMNS + 1)]
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def parse_args() -> argparse.Namespace:
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parser = argparse.ArgumentParser(
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description=(
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"导出签到报表 — 签到记录粒度。"
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"[强制] AI Agent 必须先读 references/attendance-report.md 再调用本脚本。"
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),
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)
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parser.add_argument("--users", required=True,
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help="userId 列表，逗号分隔（必填）")
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parser.add_argument("--start", required=True,
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help='开始时间，YYYY-MM-DD 或 "YYYY-MM-DD HH:mm:ss"（必填）')
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parser.add_argument("--end", required=True,
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help='结束时间，YYYY-MM-DD 或 "YYYY-MM-DD HH:mm:ss"（必填）')
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parser.add_argument("--out", default="",
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help="输出 xlsx 文件名；不传则按规范自动生成")
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parser.add_argument("--inspect", action="store_true",
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help="首次跑时打印首条记录原始结构（用于核对真实字段）")
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return parser.parse_args()
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# ─────────────────────────────────────────────────────────────────────────────
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# 签到接口时间切片（7 天一段）
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# ─────────────────────────────────────────────────────────────────────────────
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def slice_checkin_date_range(
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start: datetime, end: datetime,
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) -> list[cmn.DateSlice]:
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"""将日期范围按 7 天一段切片（签到接口限制开始到结束最多 7 天）。"""
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slices: list[cmn.DateSlice] = []
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current = start
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while current <= end:
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slice_end = min(current + timedelta(days=MAX_DAYS_PER_CHECKIN_SLICE - 1), end)
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# 确保 slice_end 的时间部分是当天最后一秒
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slice_end = slice_end.replace(hour=23, minute=59, second=59)
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if slice_end > end:
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slice_end = end
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slices.append(cmn.DateSlice(
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start=current,
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end=slice_end,
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))
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current = slice_end.replace(hour=0, minute=0, second=0) + timedelta(days=1)
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return slices
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def chunk_checkin_users(user_ids: list[str]) -> list[list[str]]:
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"""将用户列表按 MAX_USERS_PER_CHECKIN_BATCH 分批。"""
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batches: list[list[str]] = []
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for i in range(0, len(user_ids), MAX_USERS_PER_CHECKIN_BATCH):
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batches.append(user_ids[i:i + MAX_USERS_PER_CHECKIN_BATCH])
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return batches
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# ─────────────────────────────────────────────────────────────────────────────
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# 签到数据查询
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# ─────────────────────────────────────────────────────────────────────────────
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def query_checkin_batch(
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user_batch: list[str],
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date_slice: cmn.DateSlice,
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operator_corp_id: str,
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operator_staff_id: str,
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stats: cmn.CallStats,
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*,
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inspect: bool = False,
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inspected_flag: list[bool] | None = None,
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) -> list[dict]:
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"""查询一批用户在一个时间片内的签到记录。"""
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cmn.log(
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f"[checkin] users={len(user_batch)} "
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f"slice={date_slice.label}"
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)
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try:
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payload = cmn.run_dws([
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"attendance", "checkin", "records",
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"--operator-corp-id", operator_corp_id,
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"--operator-staff-id", operator_staff_id,
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"--staff-ids", ",".join(user_batch),
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"--start", date_slice.start_str,
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"--end", date_slice.end_str,
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])
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stats.total_dws_calls += 1
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except cmn.DwsCallError as exc:
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stats.total_dws_calls += 1
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stats.failed_calls += 1
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if exc.is_permission_error:
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cmn.error(
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"权限错误：当前账号无管理员权限，无法导出签到报表。\n"
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"请联系考勤管理员或换号重试。"
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)
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raise SystemExit(2) from exc
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err_msg = str(exc)
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if "missing required flag" in err_msg.lower():
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cmn.error(
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"签到接口调用失败：缺少必需参数。\n"
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"请确保已执行 dws auth login 完成登录，以便自动获取 operator 参数。\n"
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f"当前 operator: corp_id={operator_corp_id}, staff_id={operator_staff_id}\n"
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f"原始错误：{err_msg}"
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)
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raise SystemExit(2) from exc
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stats.add_warning(f"[checkin failed] {date_slice.label}: {exc}")
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return []
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records = cmn.extract_records(payload)
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if inspect and records and inspected_flag is not None and not inspected_flag[0]:
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cmn.dump_first_record_for_inspection(records, "checkin-records")
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inspected_flag[0] = True
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return records
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# ─────────────────────────────────────────────────────────────────────────────
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# 签到记录 → 报表行转换
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# ─────────────────────────────────────────────────────────────────────────────
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def _format_timestamp(timestamp_value: Any) -> tuple[str, str]:
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"""
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将签到时间戳转换为 (日期字符串, 时间字符串)。
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签到接口的 timestamp 为毫秒时间戳。
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"""
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if timestamp_value is None:
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return "", ""
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try:
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ts = float(timestamp_value)
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# 判断是毫秒还是秒级时间戳
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if ts > 1_000_000_000_000:
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ts = ts / 1000
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dt = datetime.fromtimestamp(ts)
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return dt.strftime("%Y-%m-%d"), dt.strftime("%H:%M:%S")
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except (ValueError, TypeError, OSError, OverflowError):
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return str(timestamp_value), ""
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def transform_records_to_rows(
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records: list[dict],
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user_info_map: dict[str, cmn.UserInfo],
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) -> list[list[Any]]:
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"""将签到原始记录转换为报表行（与 REPORT_HEADERS 对齐）。"""
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rows: list[list[Any]] = []
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for record in records:
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uid = cmn._first_nonempty(record, ("userId", "userid", "user_id"))
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uid_str = str(uid) if uid is not None else ""
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info = user_info_map.get(uid_str, cmn.UserInfo(name=uid_str))
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# 姓名：优先用 resolve_user_info 的结果，回退到接口返回的 name
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name = info.name or record.get("name", uid_str)
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dept_name = info.dept_name
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# 完整部门：暂用 dept_name（如需更完整的路径可后续扩展）
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full_dept = dept_name
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# 日期与时间
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date_str, time_str = _format_timestamp(record.get("timestamp"))
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# 经纬度
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longitude = record.get("longitude", "")
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latitude = record.get("latitude", "")
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# 地点
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place = record.get("place", "")
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detail_place = record.get("detailPlace", "")
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# 拜访客户 & 客户部门名称
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customers = record.get("customers", "")
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# 签到接口暂无客户部门名称字段，预留空值
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customer_dept = ""
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# 工作内容（备注）
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remark = record.get("remark", "")
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# 手机标识
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mobile_id = record.get("mobileId", "")
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# 图片列（最多 9 张）
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image_list = record.get("imageList") or []
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if isinstance(image_list, str):
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# 兼容接口可能返回逗号分隔的字符串
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image_list = [img.strip() for img in image_list.split(",") if img.strip()]
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image_cells = []
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for i in range(MAX_IMAGE_COLUMNS):
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if i < len(image_list):
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image_cells.append(image_list[i])
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else:
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image_cells.append("")
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row = [
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name, dept_name, full_dept,
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date_str, time_str,
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longitude, latitude, place, detail_place,
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customers, customer_dept, remark,
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mobile_id,
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] + image_cells
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rows.append(row)
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return rows
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# ─────────────────────────────────────────────────────────────────────────────
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# main
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# ─────────────────────────────────────────────────────────────────────────────
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def main() -> int:
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args = parse_args()
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raw_ids = [u.strip() for u in args.users.split(",") if u.strip()]
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if not raw_ids:
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cmn.error("--users 不能为空")
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return 2
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# 自动识别部门ID并展开为员工userId
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user_ids = cmn.resolve_users_from_input(raw_ids)
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if not user_ids:
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cmn.error("未能解析出任何有效的员工userId")
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return 2
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cmn.log(f"[users] 最终用户列表：{len(user_ids)} 人")
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try:
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start = cmn.parse_datetime_arg(args.start, end_of_day=False)
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end = cmn.parse_datetime_arg(args.end, end_of_day=True)
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except ValueError as exc:
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cmn.error(str(exc))
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return 2
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if end < start:
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cmn.error(f"--end ({end}) 早于 --start ({start})")
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return 2
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# 获取当前认证的 operator 信息（签到接口必需）
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operator_corp_id, operator_staff_id = _get_operator_context()
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# 获取用户基础信息（姓名、部门）
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cmn.log(f"[users] 获取 {len(user_ids)} 个用户基础信息")
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user_info_map = cmn.resolve_user_info(user_ids)
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# 分批分段查询签到记录
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user_batches = chunk_checkin_users(user_ids)
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date_slices = slice_checkin_date_range(start, end)
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stats = cmn.CallStats(
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user_batches=len(user_batches),
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date_slices=len(date_slices),
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)
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cmn.log(
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f"[plan] 共 {len(user_batches)} 批 × {len(date_slices)} 个时间片 "
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f"= {len(user_batches) * len(date_slices)} 次接口调用"
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)
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inspected_flag = [False]
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all_records: list[dict] = []
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for batch_idx, batch in enumerate(user_batches, start=1):
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for slice_idx, date_slice in enumerate(date_slices, start=1):
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cmn.log(
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f"[batch {batch_idx}/{len(user_batches)}] "
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f"[slice {slice_idx}/{len(date_slices)}]"
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)
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records = query_checkin_batch(
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batch, date_slice,
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operator_corp_id, operator_staff_id,
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stats,
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inspect=args.inspect,
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inspected_flag=inspected_flag,
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)
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all_records.extend(records)
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||||
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||||
if not all_records:
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||||
stats.add_warning("查询完成，但未得到任何签到记录")
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||||
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||||
# 转换为报表行
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rows = transform_records_to_rows(all_records, user_info_map)
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||||
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||||
# 按日期时间排序（日期列索引=3，时间列索引=4）
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rows.sort(key=lambda r: (r[3] or "", r[4] or ""))
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||||
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||||
# 生成 Excel
|
||||
out_name = args.out or cmn.build_output_filename(start, end, suffix="checkin")
|
||||
title = (
|
||||
f"签到报表 统计日期：{start.strftime(cmn.DATE_FMT)} "
|
||||
f"至 {end.strftime(cmn.DATE_FMT)}"
|
||||
)
|
||||
subtitle = f"报表生成时间：{datetime.now().strftime('%Y-%m-%d %H:%M')}"
|
||||
|
||||
# 图片列名列表（图片1~图片9），让 write_excel_multi_sheets 自动将 URL 嵌入为缩略图
|
||||
image_column_names = [f"图片{i}" for i in range(1, MAX_IMAGE_COLUMNS + 1)]
|
||||
|
||||
checkin_sheet = {
|
||||
"name": "签到记录",
|
||||
"headers": REPORT_HEADERS,
|
||||
"rows": rows,
|
||||
"title": title,
|
||||
"subtitle": subtitle,
|
||||
"image_columns": image_column_names,
|
||||
"image_size": (60, 60),
|
||||
}
|
||||
|
||||
try:
|
||||
cmn.write_excel_multi_sheets(out_name, [checkin_sheet])
|
||||
except (RuntimeError, ValueError) as exc:
|
||||
cmn.error(str(exc))
|
||||
return 1
|
||||
|
||||
cmn.print_summary(
|
||||
granularity_label="签到报表",
|
||||
out_path=out_name,
|
||||
user_count=len(user_ids),
|
||||
column_names=[h for h in REPORT_HEADERS],
|
||||
start=start,
|
||||
end=end,
|
||||
rows_count=len(rows),
|
||||
stats=stats,
|
||||
)
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(main())
|
||||
Reference in New Issue
Block a user