Integrate expected-vs-actual (应到未到) comparison into main_router
- 应到未到比对.py -> expected_undelivered.py（英文名）；main() 的 sys.exit 改为 return，使其可被 main_router 安全调用而不杀进程。 - main_router.py：菜单 [9] 改为调用 expected_undelivered.main()——全站点自动比对， 输出 output/应到未到数据.xlsx（汇总报表 + 中通/顺心/韵达/安能 各站明细）；移除被 取代的旧 task_process_undelivered_data 及其专属 import pandas。 - .gitignore：忽略 output/（比对输出目录）。 Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Misaka
524
expected_undelivered.py
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524
expected_undelivered.py
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# -*- coding: utf-8 -*-
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"""
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应到未到数据比对
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目的：对中通 / 顺心 / 韵达 / 安能四个站点，比对各自的「应到货物数据」与
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「实到货物数据」，逐件找出应到却未到的子单，汇总到 output/应到未到数据.xlsx。
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工作簿结构：
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· 汇总报表 —— 首页，跨站点统计与可视化（不含明细）。
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· 中通 / 顺心 / 韵达 / 安能 —— 各站未到明细，每行一件。
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核心逻辑（四站点统一）：
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1. 每个运单的应到件数 N = 应到数据中的「录单件数」（输出列名为「总件数」）。
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2. 该运单应到的子单序号集合 = {1, 2, …, N}。
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3. 从实到数据中解析出该运单实际已到的序号集合。
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4. 应到未到 = {1…N} − 已到序号。
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—— 缺件按定义不在实到里，故其子单号 / 扫描单号由程序按各站格式现拼生成。
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各站差异（已据真实数据核定）：
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中通：实到「运单号」列即复合串 = 运单号 + 总数(4位) + 顺序号(4位)，从右解析。
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顺心：实到有干净「运单号」列 +「子单号」= 运单号 + 顺序号(3位)。
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韵达：实到「主单号」对应运单号，「子单号」= 主单号 + 顺序号(4位)。
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安能：实到「所属单号」对应运单号，「扫描单号」= 所属单号 + 总数(4位) + 顺序号(4位)。
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目录约定：
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源数据放在脚本同级目录的 downloads/ 下；结果写入 output/（不存在则自动创建）。
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"""
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import os
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from datetime import datetime
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from collections import defaultdict
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import pandas as pd
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from openpyxl import Workbook
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from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
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from openpyxl.chart import BarChart, Reference
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from openpyxl.worksheet.page import PageMargins
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from openpyxl.worksheet.properties import PageSetupProperties
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BASE = os.path.dirname(os.path.abspath(__file__))
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DOWNLOADS = os.path.join(BASE, "downloads")
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OUTPUT = os.path.join(BASE, "output")
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OUTFILE = os.path.join(OUTPUT, "应到未到数据.xlsx")
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# ============================ 比对逻辑 ============================
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def arrived_zhongtong(df):
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"""中通：运单号列即复合串，右侧 8 位 = 总数(4)+顺序(4)，其余为运单号。"""
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res = defaultdict(set)
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for v in df["运单号"]:
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v = str(v).strip()
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if len(v) > 8 and v[-4:].isdigit():
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res[v[:-8]].add(int(v[-4:]))
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return res
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def arrived_by_prefix(main_col, sub_col, has_total=False):
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"""顺心 / 韵达 / 安能：子单号以主单号为前缀，后缀含顺序号。
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has_total=True 时后缀为 总数(4)+顺序(4)，取末 4 位为顺序号。"""
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def parse(df):
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res = defaultdict(set)
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for m, s in zip(df[main_col], df[sub_col]):
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m, s = str(m).strip(), str(s).strip()
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if not m or not s:
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continue
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if s == m: # 无后缀的单件，记为第 1 件
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res[m].add(1)
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continue
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if not s.startswith(m):
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continue
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seq = s[len(m) :][-4:] if has_total else s[len(m) :]
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if seq.isdigit():
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res[m].add(int(seq))
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return res
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return parse
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def code_zhongtong(wb, seq, n):
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return f"{seq:04d}" # 中通：仅顺序号
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def code_shunxin(wb, seq, n):
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return f"{wb}{seq:03d}" # 顺心：运单号 + 3 位顺序
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def code_yunda(wb, seq, n):
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return f"{wb}{seq:04d}" # 韵达：主单号 + 4 位顺序
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def code_anneng(wb, seq, n):
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return f"{wb}{n:04d}{seq:04d}" # 安能：运单号 + 总数 + 顺序
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STATIONS = [
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{
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"name": "中通",
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"exp": "中通-应到货物数据.xlsx",
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"act": "中通-实到货物数据.xlsx",
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"arrived": arrived_zhongtong,
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"code": code_zhongtong,
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"code_col": "子单号",
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"columns": ["交接单号", "运单号", "子单号", "总件数"],
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},
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{
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"name": "顺心",
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"exp": "顺心-应到货物数据.xlsx",
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"act": "顺心-实到货物数据.xlsx",
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"arrived": arrived_by_prefix("运单号", "子单号"),
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"code": code_shunxin,
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"code_col": "子单号",
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"columns": ["班次号", "交接单号", "运单号", "子单号", "总件数"],
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},
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{
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"name": "韵达",
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"exp": "韵达-应到货物数据.xlsx",
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"act": "韵达-实到货物数据.xlsx",
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"arrived": arrived_by_prefix("主单号", "子单号"),
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"code": code_yunda,
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"code_col": "子单号",
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"columns": ["交接单号", "运单号", "子单号", "总件数"],
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},
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{
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"name": "安能",
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"exp": "安能-应到货物数据.xlsx",
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"act": "安能-实到货物数据.xlsx",
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"arrived": arrived_by_prefix("所属单号", "扫描单号", has_total=True),
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"code": code_anneng,
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"code_col": "扫描单号",
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"columns": ["交接单号", "运单号", "扫描单号", "总件数"],
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},
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]
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def process(cfg):
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"""返回 (列名list, 明细行list[dict], 统计dict)；源文件缺失时返回 None。"""
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exp_path = os.path.join(DOWNLOADS, cfg["exp"])
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act_path = os.path.join(DOWNLOADS, cfg["act"])
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if not os.path.exists(exp_path) or not os.path.exists(act_path):
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print(f"[跳过] {cfg['name']}：downloads 下缺少 {cfg['exp']} 或 {cfg['act']}")
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return None
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df_exp = pd.read_excel(exp_path, dtype=str).fillna("")
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df_act = pd.read_excel(act_path, dtype=str).fillna("")
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# 同一运单可能有多条交接记录（录单件数一致），按运单号去重、保留首条
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dup = int(df_exp["运单号"].duplicated().sum())
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df_exp = df_exp.drop_duplicates(subset=["运单号"], keep="first")
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arrived = cfg["arrived"](df_act)
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rows = []
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exp_pieces = full_miss = part_miss = 0
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for _, r in df_exp.iterrows():
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wb = str(r["运单号"]).strip()
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if not wb:
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continue
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try:
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n = int(float(r["总件数"] if "总件数" in r else r["录单件数"]))
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except (TypeError, ValueError, KeyError):
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try:
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n = int(float(r["录单件数"]))
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except (TypeError, ValueError, KeyError):
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continue
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if n <= 0:
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continue
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exp_pieces += n
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missing = sorted(set(range(1, n + 1)) - arrived.get(wb, set()))
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if missing:
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if len(missing) == n:
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full_miss += 1
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else:
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part_miss += 1
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for seq in missing:
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row = {}
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for col in cfg["columns"]:
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if col == "运单号":
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row[col] = wb
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elif col == cfg["code_col"]:
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row[col] = cfg["code"](wb, seq, n)
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elif col == "总件数":
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row[col] = n
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else:
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row[col] = str(r.get(col, "")).strip()
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rows.append(row)
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stats = {
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"运单数": len(df_exp),
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"应到件": exp_pieces,
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"已到件": exp_pieces - len(rows),
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"未到件": len(rows),
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"涉及运单": full_miss + part_miss,
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"完全未到": full_miss,
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"部分未到": part_miss,
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"重复运单": dup,
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}
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return cfg["columns"], rows, stats
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# ============================ 样式常量 ============================
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FONT = "微软雅黑"
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NAVY = "1F3864" # 标题栏
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BLUE = "305496" # 表头
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LIGHTBLUE = "D6DCE5" # 合计行
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CARD_BG = "F2F6FC" # 指标卡底
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RED = "C00000" # 未到
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GREEN = "548235" # 已到
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GRAY = "808080"
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ZEBRA = "F4F7FC"
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LINE = "D9D9D9"
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TILE = "BFBFBF"
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THIN = Side(style="thin", color=LINE)
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BORDER = Border(left=THIN, right=THIN, top=THIN, bottom=THIN)
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def heat(rate):
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"""未到率热力底色：绿(低) / 黄(中) / 红(高)。"""
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if rate >= 0.50:
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return "FFC7CE"
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if rate >= 0.15:
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return "FFEB9C"
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return "C6EFCE"
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# ============================ 写明细表 ============================
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HEADER_FILL = PatternFill("solid", fgColor=BLUE)
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HEADER_FONT = Font(name=FONT, bold=True, color="FFFFFF", size=11)
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BODY_FONT = Font(name=FONT, size=10)
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def write_station(ws, columns, rows):
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ws.sheet_view.showGridLines = False
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ws.append(columns)
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for c in range(1, len(columns) + 1):
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cell = ws.cell(row=1, column=c)
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cell.fill = HEADER_FILL
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cell.font = HEADER_FONT
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cell.alignment = Alignment(horizontal="center", vertical="center")
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cell.border = BORDER
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for row in rows:
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ws.append([row[c] for c in columns])
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for r in range(2, ws.max_row + 1):
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for c, col in enumerate(columns, start=1):
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cell = ws.cell(row=r, column=c)
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cell.font = BODY_FONT
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cell.border = BORDER
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if col == "总件数":
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cell.number_format = "#,##0"
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cell.alignment = Alignment(horizontal="right", vertical="center")
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else:
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cell.number_format = "@" # 文本，避免长单号被转科学计数
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for c, col in enumerate(columns, start=1):
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body = [len(str(row[col])) for row in rows] if rows else []
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width = min(max([len(str(col))] + body) + 4, 36)
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ws.column_dimensions[ws.cell(row=1, column=c).column_letter].width = max(
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width, 12
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)
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ws.freeze_panes = "A2"
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ws.page_setup.orientation = "landscape"
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ws.page_setup.fitToWidth = 1
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ws.page_setup.fitToHeight = 0
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ws.sheet_properties.pageSetUpPr = PageSetupProperties(fitToPage=True)
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ws.print_title_rows = "1:1"
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# ============================ 写汇总报表 ============================
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def build_summary(ws, results, generated_at):
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center = Alignment(horizontal="center", vertical="center")
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left = Alignment(horizontal="left", vertical="center", indent=1)
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t_wb = sum(s["运单数"] for _, s in results)
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t_exp = sum(s["应到件"] for _, s in results)
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t_arr = sum(s["已到件"] for _, s in results)
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t_miss = sum(s["未到件"] for _, s in results)
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t_full = sum(s["完全未到"] for _, s in results)
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t_part = sum(s["部分未到"] for _, s in results)
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rate = (t_miss / t_exp) if t_exp else 0
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ws.sheet_view.showGridLines = False
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ws.column_dimensions["A"].width = 2.5
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for col, w in {
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"B": 11,
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"C": 12,
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"D": 12,
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"E": 12,
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"F": 12,
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"G": 11,
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"H": 14,
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"I": 14,
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}.items():
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ws.column_dimensions[col].width = w
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ws.row_dimensions[1].height = 6
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# —— 标题栏 ——
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ws.merge_cells("B2:I2")
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t = ws["B2"]
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t.value = "应到未到比对 · 汇总报表"
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t.fill = PatternFill("solid", fgColor=NAVY)
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t.font = Font(name=FONT, bold=True, size=18, color="FFFFFF")
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t.alignment = center
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for row in ws["B2:I2"]:
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for c in row:
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c.fill = PatternFill("solid", fgColor=NAVY)
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ws.row_dimensions[2].height = 34
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ws.merge_cells("B3:I3")
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sub = ws["B3"]
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sub.value = f"数据快照 · 生成于 {generated_at}"
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sub.font = Font(name=FONT, size=10, color=GRAY)
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sub.alignment = Alignment(horizontal="right", vertical="center")
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ws.row_dimensions[3].height = 18
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# —— KPI 指标卡 ——
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cards = [
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("应到总件数", t_exp, NAVY, "#,##0"),
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("已到总件数", t_arr, GREEN, "#,##0"),
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("未到总件数", t_miss, RED, "#,##0"),
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("总体未到率", rate, RED, "0.0%"),
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]
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spans = [
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("B5:C5", "B6:C6"),
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("D5:E5", "D6:E6"),
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("F5:G5", "F6:G6"),
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("H5:I5", "H6:I6"),
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]
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card_bg = PatternFill("solid", fgColor=CARD_BG)
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thin = Side(style="thin", color=TILE)
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for (lab, val, acc, fmt), (lrng, vrng) in zip(cards, spans):
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ws.merge_cells(lrng)
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ws.merge_cells(vrng)
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acctop = Side(style="medium", color=acc)
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for row in ws[lrng]:
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for c in row:
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c.fill = card_bg
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c.font = Font(name=FONT, size=10, color=GRAY)
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c.alignment = center
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c.border = Border(left=thin, right=thin, top=acctop, bottom=thin)
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for row in ws[vrng]:
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for c in row:
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c.fill = card_bg
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c.font = Font(name=FONT, bold=True, size=20, color=acc)
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c.alignment = center
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c.border = Border(left=thin, right=thin, top=thin, bottom=thin)
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ws[lrng.split(":")[0]].value = lab
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vc = ws[vrng.split(":")[0]]
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vc.value = val
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vc.number_format = fmt
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ws.row_dimensions[5].height = 18
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ws.row_dimensions[6].height = 38
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ws.row_dimensions[7].height = 8
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# —— 小节标题 ——
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ws.merge_cells("B8:I8")
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sec = ws["B8"]
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sec.value = "各站点明细统计"
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sec.font = Font(name=FONT, bold=True, size=12, color=NAVY)
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sec.alignment = Alignment(horizontal="left", vertical="center")
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for row in ws["B8:I8"]:
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for c in row:
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c.border = Border(bottom=Side(style="medium", color=BLUE))
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ws.row_dimensions[8].height = 22
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# —— 统计表头 ——
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headers = [
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"站点",
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"应到运单数",
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"应到件数",
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"已到件数",
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"未到件数",
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"未到率",
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"完全未到运单",
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"部分未到运单",
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]
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for i, h in enumerate(headers):
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col = chr(ord("B") + i)
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cell = ws[f"{col}9"]
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cell.value = h
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cell.fill = HEADER_FILL
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cell.font = HEADER_FONT
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cell.alignment = center
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cell.border = BORDER
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ws.row_dimensions[9].height = 22
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# —— 各站数据行 ——
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r = 10
|
||||
for idx, (name, s) in enumerate(results):
|
||||
srate = (s["未到件"] / s["应到件"]) if s["应到件"] else 0
|
||||
vals = [
|
||||
name,
|
||||
s["运单数"],
|
||||
s["应到件"],
|
||||
s["已到件"],
|
||||
s["未到件"],
|
||||
srate,
|
||||
s["完全未到"],
|
||||
s["部分未到"],
|
||||
]
|
||||
for i, v in enumerate(vals):
|
||||
col = chr(ord("B") + i)
|
||||
cell = ws[f"{col}{r}"]
|
||||
cell.value = v
|
||||
cell.font = BODY_FONT
|
||||
cell.border = BORDER
|
||||
cell.alignment = left if i == 0 else center
|
||||
if idx % 2 == 1 and i != 5:
|
||||
cell.fill = PatternFill("solid", fgColor=ZEBRA)
|
||||
if i in (1, 2, 3, 4, 6, 7):
|
||||
cell.number_format = "#,##0"
|
||||
if i == 5:
|
||||
cell.number_format = "0.0%"
|
||||
cell.fill = PatternFill("solid", fgColor=heat(srate))
|
||||
ws.row_dimensions[r].height = 19
|
||||
r += 1
|
||||
|
||||
# —— 合计行 ——
|
||||
tot_fill = PatternFill("solid", fgColor=LIGHTBLUE)
|
||||
tot_font = Font(name=FONT, bold=True, size=10)
|
||||
totals = ["合计", t_wb, t_exp, t_arr, t_miss, rate, t_full, t_part]
|
||||
for i, v in enumerate(totals):
|
||||
col = chr(ord("B") + i)
|
||||
cell = ws[f"{col}{r}"]
|
||||
cell.value = v
|
||||
cell.fill = tot_fill
|
||||
cell.font = tot_font
|
||||
cell.border = BORDER
|
||||
cell.alignment = left if i == 0 else center
|
||||
if i in (1, 2, 3, 4, 6, 7):
|
||||
cell.number_format = "#,##0"
|
||||
if i == 5:
|
||||
cell.number_format = "0.0%"
|
||||
ws.row_dimensions[r].height = 20
|
||||
last_data_row = 9 + len(results)
|
||||
chart_anchor = r + 2
|
||||
|
||||
# —— 堆叠柱状图：各站已到 / 未到 ——
|
||||
chart = BarChart()
|
||||
chart.type = "col"
|
||||
chart.grouping = "stacked"
|
||||
chart.overlap = 100
|
||||
chart.title = "各站点到货构成（已到 / 未到 件数）"
|
||||
data = Reference(
|
||||
ws, min_col=5, max_col=6, min_row=9, max_row=last_data_row
|
||||
) # E已到 F未到
|
||||
chart.add_data(data, titles_from_data=True)
|
||||
cats = Reference(ws, min_col=2, min_row=10, max_row=last_data_row)
|
||||
chart.set_categories(cats)
|
||||
chart.series[0].graphicalProperties.solidFill = GREEN
|
||||
chart.series[1].graphicalProperties.solidFill = RED
|
||||
chart.y_axis.title = "件数"
|
||||
chart.x_axis.delete = False
|
||||
chart.y_axis.delete = False
|
||||
chart.legend.position = "b"
|
||||
chart.height = 9
|
||||
chart.width = 20
|
||||
ws.add_chart(chart, f"B{chart_anchor}")
|
||||
|
||||
# —— 口径说明 ——
|
||||
note_row = chart_anchor + 19
|
||||
notes = [
|
||||
"指标口径：未到率 ＝ 未到件数 ÷ 应到件数；完全未到运单 ＝ 整单零到货；部分未到运单 ＝ 部分到货、部分缺件。",
|
||||
"明细见各站点工作表；缺件的子单号 / 扫描单号按各站编号规则生成，并非实到原始记录。",
|
||||
]
|
||||
for k, text in enumerate(notes):
|
||||
rr = note_row + k
|
||||
ws.merge_cells(f"B{rr}:I{rr}")
|
||||
cell = ws[f"B{rr}"]
|
||||
cell.value = text
|
||||
cell.font = Font(name=FONT, size=9, color=GRAY)
|
||||
cell.alignment = Alignment(horizontal="left", vertical="center", wrap_text=True)
|
||||
|
||||
ws.page_setup.orientation = "landscape"
|
||||
ws.page_setup.fitToWidth = 1
|
||||
ws.page_setup.fitToHeight = 0
|
||||
ws.sheet_properties.pageSetUpPr = PageSetupProperties(fitToPage=True)
|
||||
ws.page_margins = PageMargins(left=0.4, right=0.4, top=0.5, bottom=0.5)
|
||||
ws.print_area = f"A1:I{note_row + 1}"
|
||||
|
||||
|
||||
# ============================ 主流程 ============================
|
||||
|
||||
|
||||
def main():
|
||||
os.makedirs(OUTPUT, exist_ok=True)
|
||||
wb = Workbook()
|
||||
wb.remove(wb.active)
|
||||
summary_ws = wb.create_sheet("汇总报表") # 首页占位
|
||||
|
||||
print("应到未到比对结果")
|
||||
print("-" * 56)
|
||||
results = []
|
||||
for cfg in STATIONS:
|
||||
out = process(cfg)
|
||||
if out is None:
|
||||
continue
|
||||
columns, rows, stats = out
|
||||
ws = wb.create_sheet(cfg["name"])
|
||||
write_station(ws, columns, rows)
|
||||
results.append((cfg["name"], stats))
|
||||
extra = f"，应到重复运单 {stats['重复运单']}" if stats["重复运单"] else ""
|
||||
print(
|
||||
f"{cfg['name']}：应到运单 {stats['运单数']}，应到件 {stats['应到件']}，"
|
||||
f"已到 {stats['已到件']}，未到 {stats['未到件']} 件"
|
||||
f"（涉及运单 {stats['涉及运单']}：完全未到 {stats['完全未到']} / 部分未到 {stats['部分未到']}）{extra}"
|
||||
)
|
||||
|
||||
if not results:
|
||||
print("未处理任何站点：请确认 downloads/ 下存在源数据文件。")
|
||||
return
|
||||
|
||||
build_summary(summary_ws, results, datetime.now().strftime("%Y-%m-%d %H:%M"))
|
||||
|
||||
print("-" * 56)
|
||||
wb.save(OUTFILE)
|
||||
print(f"已输出：{OUTFILE}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user