chore: curate monthly assessment evidence and scripts
This commit is contained in:
kkfluous
+56
@@ -6,3 +6,59 @@ __pycache__/
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*.jpg
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*.png
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.localized
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# Raw local downloads: retain only curated production evidence below.
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*.xlsx
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*.xls
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*.zip
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*.7z
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*.rar
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*.tar
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*.gz
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*.dmg
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*.pkg
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*.exe
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*.pdf
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*.doc
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*.docx
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*.rtf
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# Production monthly-assessment evidence retained in this repository.
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!20260713/**/*.xlsx
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!20260713_1500/**/*.xlsx
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!5月18T测算/**/*.xlsx
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!6月18T测算/**/*.xlsx
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!6月核算结果/**/*.xlsx
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!7月核算结果/**/*.xlsx
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!7月绩效重算_多源考核里程_20260817/**/*.xlsx
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!租赁任务考核_*.xlsx
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!里程任务考核_*.xlsx
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!*干预情况说明*.xlsx
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!docs/**
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!**/*考核*.pdf
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!**/*考核*.doc
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!**/*考核*.docx
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!**/*核算*.pdf
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!**/*核算*.doc
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!**/*核算*.docx
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!**/*测试*.pdf
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!**/*测试*.doc
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!**/*测试*.docx
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!**/*验证*.pdf
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!**/*验证*.doc
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!**/*验证*.docx
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!**/*说明*.pdf
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!**/*说明*.doc
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!**/*说明*.docx
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# Never commit credentials or local secret material.
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.env
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.env.*
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*accesskey*
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*AccessKey*
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*secret*
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*token*
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*credential*
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*password*
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*private*key*
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*backup*code*
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+178
@@ -0,0 +1,178 @@
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# 养馋记物流合作 · 可行性与实施计划书
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| 项 | 内容 |
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|----|------|
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| 版本 | V0.1 |
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| 日期 | 2026-07-31 |
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| 状态 | 评估稿（待管理层战略拍板；单价/税点待书面确认） |
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| 配套 | [流程图集](./02-流程图集.md) · [分期实施计划](./03-分期实施计划.md) |
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| 依据 | 养馋记合作交流纪要；`self-operated-logistics/assumptions.md`；`物流自营-MVP与版本计划.md`；`物流自营盈亏-粗方案-会议纪要落地.md`；`物流项目立项-合同交车衔接方案.md` |
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---
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## 1. 背景与问题
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养馋记加快外区扩张，倾向**只选一家主物流商**，价格敏感，对标对象为顺丰（网络、回程、昼夜复用、单车多趟）。
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羚牛已参与项目运营并具备氢能协同价值，但报价与综合成本仍有差距；差距主因不是「有没有车」，而是：
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1. 外区回程空驶
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2. 车辆全日利用率不足
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3. 线路组合与系统化排线能力不足
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4. 战略定位（短期利润 vs 规模客户）未内部拍板
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同时会议提出 TMS / 智能调度诉求。现有 OneOS 物流条线已锁定为**轻量调度、非 TMS**，中期靶子是「合同 → 交车 → 出账 → 证据 → 盈亏」。
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---
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## 2. 计划目标
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| 目标 | 说明 |
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|------|------|
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| G1 决策可下 | 管理层明确 Go / No-Go / 有条件 Go 及利润底线 |
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| G2 主链可挂 | 养馋记作为物流项目接入现有主链，能出可解释账单 |
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| G3 成本可谈 | 全成本与利用率、空驶可视，支撑对客报价 |
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| G4 运力可扩 | 回程与昼夜复用有试点与台阶承诺，匹配门店扩张 |
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| G5 系统不越界 | 不对外承诺「上线即对标顺丰 TMS」；算法另立项 |
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**非目标：** 用绿色品牌替代价格竞争力；另起独立「养馋记 TMS」产品线抢占物流 MVP 资源。
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---
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## 3. 可行性结论
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### 3.1 总判
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| 维度 | 结论 |
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|------|------|
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| 商务/运营 | **有条件可行**——前提是回程走廊可拼、战略底线清晰、运力台阶可承诺 |
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| 产品近中期 | **可行且应做**——经营底座 + 利用率/空驶分析，挂现有物流 MVP/V0.2 |
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| 智能 TMS/算法 | **中长期可行、短期不可当作商务武器**——需专班与真实货源数据 |
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### 3.2 衔接总策略（一句话）
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**客户项目化接入现有物流主链；运营先解决货源与复用；系统先记账再调度台，最后才算法。**
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```text
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计价规则 → 立项 → 合同生效 → 交车 → 轻量调度 → 趟/段出账+证据 → 成本T+1 → 项目盈亏
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↑
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养馋记：规则包 + 门店线路主数据 + 多趟/昼夜/空驶/返程字段
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↑
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跨项目：人工排班 → 占用日历 →（后期）回程候选推荐
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```
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### 3.3 与顺丰对比（决策用）
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| 能力 | 顺丰 | 羚牛现状/路径 |
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|------|------|----------------|
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| 区域网络与回程货 | 强 | 弱 → 靠现有项目走廊匹配 |
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| 昼夜业务组合 | 成熟 | 需运营拼线 + 占用日历 |
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| 单车多趟 | 常态 | 字段支持 + 调度台后置 |
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| 单公里报价 | 未必最低 | 忌纯砍价 |
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| 氢能/绿色 | 非其主叙事 | 羚牛差异化加分，不替代运价 |
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| 系统排线 | 成熟网络调度 | 我方 S3/S4，不绑 S0 商务承诺 |
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---
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## 4. 范围与边界
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### 4.1 范围内
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- 养馋记项目：规则、合同、交车、调度任务、出账、证据、盈亏
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- 主数据：门店、线路、频次、时间窗、货量、车型
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- 经营指标：去程/返程/空驶、单车趟次与利用率、线路成本
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- 跨项目占用（先人工后系统提示）
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- 氢能第二账（能源/财务，与物流盈亏分表）
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- 分期评估调度台与智能优化（另预算）
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### 4.2 范围外（本期计划书明确不做）
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- 完整 VRP/动态重调度作为商务交付承诺
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- 承运商招标平台、客户系统 API 强对接（可单独立项）
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- 租赁提车应收 / 还车应结混入物流资金流
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- 推翻「非 TMS」假设、用演示算法换独家合同
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### 4.3 与现版本对齐
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| 物流版本 | 本计划对应 |
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|----------|------------|
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| MVP V0.1 | 阶段 S1 |
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| V0.2 | 阶段 S2 |
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| V0.3 规则/立项 | 规则包正式版、立项挂接 |
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| V0.4 GPS | 在途可视（非智能排线） |
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| 新立项 | 阶段 S3 调度台、S4 算法 |
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---
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## 5. 成本与投入（量级）
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> 非正式报价；含产品研发量级，不含车辆购置、司机薪酬、商务让利。
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| 阶段 | 内容 | 量级 | 费用感 |
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|------|------|------|--------|
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| S0 | 全成本、顺丰差拆解、回程走廊、战略底线 | 业务财务为主 · 0.5～1 人周～人月 | 很低 |
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| S1 | MVP + 养馋规则/模板/空驶多趟字段 | 增量 1～2 人月 | 低 |
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| S2 | 验真、成本挂接、利用率报表、占用日历 | 2～4 人月 | 中低 |
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| S3 | 半自动调度台 | 4～8 人月 | 中 |
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| S4 | 智能排线/回程推荐 | 6～12+ 人月 + 算法专班跨季 | 高 |
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**隐性成本：** 回程货开发人力、薄利下备车、若过度承诺系统能力导致的信誉损失。
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**预算建议：** 先批 S0+S1；战略 Go 后批 S2；S3/S4 单独立项，不写入对客必达条款。
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---
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## 6. 风险与难点
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| 等级 | 风险/难点 | 应对 |
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|------|-----------|------|
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| 高 | 回程货源拼不成仍接独家 | S0 门禁；溢价或收缩范围 |
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| 高 | 战略未拍板却锁低价长约 | 先内部底线再报价 |
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| 中 | 系统预期=顺丰 TMS | 对外话术与分期绑定；禁演示忽悠 |
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| 中 | 主数据（门店窗货量）缺失 | S3 入口条件 |
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| 中 | 运力跟不上外区开店 | 台阶式运力承诺 |
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| 低 | 多客户导入模板差异 | 规则中心+映射（既有规划） |
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| 低 | 氢能归因不清 | 物流账 / 能源账分表 |
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---
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## 7. 组织与职责（RACI 摘要）
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| 事项 | 业务 | 财务 | 物流运营 | 能源 | 数智/产品 | 管理层 |
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|------|------|------|----------|------|-----------|--------|
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| 战略定位与底线 | C | C | I | C | I | **A/R** |
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| 全成本与报价 | R | **A** | C | C | I | C |
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| 回程走廊匹配 | C | I | **A/R** | I | C | I |
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| 主数据收集 | R | I | C | I | C | I |
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| S1–S2 系统 | C | C | C | C | **A/R** | I |
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| S3–S4 立项 | C | C | C | I | **R** | **A** |
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| 对客方案 | **R** | C | C | C | C | A |
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A=批准 R=执行 C=协商 I=知会
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---
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## 8. 成功标准
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1. 管理层形成书面 Go / No-Go / 有条件 Go。
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2. 任意试点趟次可回答：合同、车、司机、门店序列、收入分项、空驶公里、成本粗算。
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3. 回程走廊表覆盖主要外区线路，可拼比例与不可拼溢价策略清晰。
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4. 对内汇报不出现「已具备顺丰级智能排线」类越界表述。
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5. S2 起单车日趟次、利用率、空驶率可周更。
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---
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## 9. 决策建议
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1. **推荐路径：** 有条件推进——S0 过门 → 挂主链（S1）→ 经营可解释（S2）→ 视回程试点再开 S3/S4。
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2. **不推荐：** 以智能 TMS 承诺换独家；或纯降单公里硬刚顺丰。
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3. **差异化：** 运营熟悉度 + 氢能规模第二账 + 极简透明合作关系（对齐养馋记供应商理念）。
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待拍板清单见 [实施计划 §6](./03-分期实施计划.md#6-待拍板清单)。
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---
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## 10. 修订记录
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| 版本 | 日期 | 说明 |
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|------|------|------|
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| V0.1 | 2026-07-31 | 首版：计划书 + 流程图 + 实施计划成套 |
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@@ -0,0 +1,81 @@
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# 养馋记物流派单与对账模块建设评估
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> **管理层决策版｜本次仅申请第一阶段立项，不进入全量开发承诺**
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## 一、结论与建议
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### 结论
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**项目可做，建议分三阶段推进。** 先以养馋记订单与路线数据接入 OneOS，跑通“订单—人工派单—运输办结—费用归集—T+1 暂算盈亏”闭环；月度对账和 AI 智能调度分别后置，避免在业务规则、接口和数据尚未验证前一次性投入。
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### 本次建议确认
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1. **批准第一阶段 MVP**：周期 1 个月；人力成本 **11.4 万元**，首年全口径预算 **15.78 万元**
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2. **批准启动接口与业务确认**：API/字段、费用试算样例、OneOS 成本匹配规则确认后正式开工
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3. **第二、三阶段按门禁决策**：第一阶段跑通并验证数据口径后，再确认第二阶段投入；AI 不纳入本次预算
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## 二、第一阶段：一个月先解决什么
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| 管理层关心的问题 | 第一阶段交付 |
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| --- | --- |
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| 订单能否自动进入系统 | 对接养馋记 API；接口异常时支持 Excel/人工建单兜底 |
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| 调度能否更快、更可控 | 自动生成待派任务，调度人工选择车辆和司机；司机端接收、执行和办结任务 |
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| 每笔单是否赚钱 | 归集运费、OneOS 氢费和 ETC，形成逐单暂算；支持 **T+1 查看前一日收入、成本和盈亏** |
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| 本期不做什么 | 完整月度对账、合作方在线确认/驳回、用友接口、全自动派单及 AI 调度 |
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**第一阶段验收结果：** 养馋记订单可进入 OneOS，调度可完成派车派司机，司机可办结任务，管理层可在次日看到单据层面的暂算盈亏。
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## 三、分阶段投入与边界
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| 阶段 | 目标与主要交付 | 周期 | 阶段人力成本 | 决策边界 |
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| --- | --- | ---: | ---: | --- |
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| **第一阶段：MVP** | 订单接入、人工派单、司机执行、基础费用归集、T+1 暂算盈亏 | 1 个月 | **11.4 万元** | **本次申请批准** |
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| **第二阶段：业务与对账闭环** | 改单取消与异常处理、完整费用及车辆成本、利润精算、月度账单、合作方在线对账 | 1—2 个月 | **11.4—22.8 万元** | 第一阶段验证通过后启动；累计 **22.8—34.2 万元** |
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| **第三阶段：AI 智能调度试点** | 基于真实调度数据，试点串单/串点、复跑、车型匹配和成本优化建议 | 数据积累 2—3 个月；试点开发 1—2 个月 | **11.4—28.8 万元** | 单独立项；含 AI 的远期累计 **34.2—63.0 万元** |
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## 四、成本口径与首年全口径预算
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### 人力成本口径
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- 第一、二阶段：产品 1 人、研发 2 人、测试 1 人
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- 产品、研发 **1,500 元/人天**；测试 **1,200 元/人天**
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- 按 20 个工作日/月测算，满配日成本 **5,700 元**
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- AI 试点按产品 1 人、研发/算法 2—3 人、测试 1 人测算；数据积累随前两阶段实际运营完成，不单列开发人力
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### 非人力成本预算（首年）
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| 成本项 | 预算口径 | 首年预算 |
|
||||
| --- | --- | ---: |
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| 应用服务器 | 4核8G、100G 云盘、5Mbps 公网带宽，**2 台**（生产/测试或应用隔离） | **12,000 元** |
|
||||
| 托管数据库 | RDS MySQL 2核8G、50G 存储、基础备份 | **6,000 元** |
|
||||
| 对象存储、备份与日志 | 签收凭证、导入文件、备份、日志及基础流量 | **2,000 元** |
|
||||
| 地图、路径与 GPS 服务 | 低量调用预留；优先复用 OneOS 现有车辆 GPS 数据 | **6,000 元** |
|
||||
| 短信/消息 | 按 10,000 条通知短信预留 | **500 元** |
|
||||
| 小程序认证 | 微信小程序主体认证 | **300 元** |
|
||||
| 域名、SSL、安全监控 | 域名、证书、基础监控与告警 | **2,000 元** |
|
||||
| 养馋记 API 联调/信息服务 | 对方可能收取的接口支持及联调服务费预留，待对方确认 | **10,000 元** |
|
||||
| 上线部署与基础运维配置 | 环境初始化、备份策略、发布与巡检配置 | **5,000 元** |
|
||||
| **非人力成本合计** | 其中年度运行成本约 28,800 元；一次性启动预留 15,000 元 | **43,800 元** |
|
||||
|
||||
### 项目首年投入总览
|
||||
|
||||
| 决策范围 | 人力成本 | 非人力成本 | 首年总投入 |
|
||||
| --- | ---: | ---: | ---: |
|
||||
| **本次：第一阶段 MVP** | 114,000 元 | 43,800 元 | **157,800 元** |
|
||||
| 第一、二阶段完成 | 228,000—342,000 元 | 43,800 元 | **271,800—385,800 元** |
|
||||
| 含 AI 试点的远期累计 | 342,000—630,000 元 | 43,800 元 | **385,800—673,800 元** |
|
||||
|
||||
**说明：** 上述为预算，不是供应商最终报价；云资源价格会受地域、带宽、磁盘和活动折扣影响。地图/GPS 预算基于低量调用并复用现有 OneOS 数据；如需单独采购地图商用授权、高频路径规划或新增 GPS 设备，应单独询价。用友接口及外部 AI 模型调用费用本期均不包含。
|
||||
|
||||
## 五、启动门禁与风险控制
|
||||
|
||||
| 启动前必须确认 | 不确认的影响 | 控制方式 |
|
||||
| --- | --- | --- |
|
||||
| API 文档、沙箱、可提供字段及同步时效 | 订单接入范围和工期无法锁定 | 先完成接口清单和联调验证；Excel/人工建单作为兜底 |
|
||||
| 新单、改单、取消单及状态回传规则 | 运单状态和对账口径可能不一致 | 以业务样例确认状态规则后开发 |
|
||||
| 运费、抽点、杂费、车辆成本试算样例 | 暂算与最终账可能存在差异 | 第一阶段先做暂算，第二阶段固化完整计费与对账规则 |
|
||||
| OneOS 氢费、ETC 数据来源与匹配规则 | 无法形成可信的成本与利润 | 明确数据来源、匹配频率和异常处理规则 |
|
||||
|
||||
## 六、建议
|
||||
|
||||
**建议本次批准第一阶段首年全口径预算 15.78 万元**（人力 11.4 万元 + 非人力 4.38 万元）。用一个月验证接口可用性、人工调度闭环和 T+1 盈亏价值；通过后再投入第二阶段的对账闭环。AI 智能调度必须在真实订单、车辆、司机与成本数据积累 2—3 个月后单独评估，避免“先投入、后找场景”。
|
||||
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|
||||
# 2026年6月里程考核 — 源数据去重说明
|
||||
|
||||
## 背景
|
||||
|
||||
6月考核源数据从新系统同步时，由于部分车辆交还车流程未闭环，同一辆车同时存在两条考核任务记录。其中一条是早已还车产生的冗余记录。
|
||||
|
||||
经排查确认 **6辆车存在重复导入**，旧源文件 429 行 → 去重后新源文件 423 行，共删除 6 条冗余记录。
|
||||
|
||||
---
|
||||
|
||||
## 涉及的6辆车
|
||||
|
||||
| 车牌 | 销售 | 旧源 | 新源 | 考核目标 | 6月实际里程 | 是否达标 | 去重影响 |
|
||||
|------|------|------|------|----------|------------|----------|----------|
|
||||
| 粤AGP4335 | 刘念念 | 2条重复 | 1条 | 羚牛136辆4.5T冷链车 | 7,087 | 达标 | **奖金减半** |
|
||||
| 粤AGP5159 | 金可鹏 | 1条 | 0条(删除) | 交投190辆4.5T冷链车 | 7,769 | 达标 | **奖金消失** |
|
||||
| 粤AGP5685 | 金可鹏 | 1条 | 0条(删除) | 交投190辆4.5T冷链车 | 7,068 | 达标 | **奖金消失** |
|
||||
| 粤AGR8799 | 钟祥 | 1条 | 0条(删除) | 交投190辆4.5T冷链车 | 2,869 | 未达标 | 无影响(0奖金) |
|
||||
| 粤AGQ5808 | 金可鹏 | 2条重复 | 1条 | 交投190辆4.5T冷链车 | 1,360 | 未达标 | 无影响(0奖金) |
|
||||
| 粤AGR9896 | 金可鹏 | 2条重复 | 1条 | 交投190辆4.5T冷链车 | 1,242 | 未达标 | 无影响(0奖金) |
|
||||
|
||||
> 后3辆虽重复，但考核结果为「未达标」，奖金为0，去重前后无差异。
|
||||
|
||||
---
|
||||
|
||||
## 发放金额差异（旧源含重复 vs 新源去重）
|
||||
|
||||
### 总体
|
||||
|
||||
| | 考核应发合计 |
|
||||
|------|------------|
|
||||
| 旧源（含6条重复） | **97,782.10** |
|
||||
| 新源（去重后） | **96,665.27** |
|
||||
| **多发金额** | **-1,116.83** |
|
||||
|
||||
### 分摊到人
|
||||
|
||||
| 销售 | 旧源(含重复) | 新源(去重) | 差异 | 说明 |
|
||||
|------|-------------|-----------|------|------|
|
||||
| **刘念念** | 32,590.31 | 32,027.25 | **-563.06** | 粤AGP4335 去重，当月520→260，补发1/2/4月消失 |
|
||||
| **金可鹏** | 17,985.33 | 17,331.56 | **-653.77** | 粤AGP5159+粤AGP5685 删除，当月+补发消失；连锁粤A05776F新增+33.33 |
|
||||
| **钟祥** | 2,928.02 | 3,028.02 | **+100.00** | 连锁反应：粤A01396F 累计变化后达标，新增当月100 |
|
||||
| 其余9人 | — | — | **0.00** | 完全一致 |
|
||||
|
||||
### 逐条明细
|
||||
|
||||
**旧源多发（去重后消失，共990.16元）：**
|
||||
|
||||
| 车牌 | 销售 | 发放类型 | 多发金额 |
|
||||
|------|------|----------|----------|
|
||||
| 粤AGP4335 | 刘念念 | 当月（重复导致翻倍） | 260.00 |
|
||||
| 粤AGP4335 | 刘念念 | 补发1月 | 8.39 |
|
||||
| 粤AGP4335 | 刘念念 | 补发2月 | 260.00 |
|
||||
| 粤AGP4335 | 刘念念 | 补发4月 | 34.67 |
|
||||
| 粤AGP5159 | 金可鹏 | 当月 | 150.00 |
|
||||
| 粤AGP5685 | 金可鹏 | 当月 | 150.00 |
|
||||
| 粤AGP5685 | 金可鹏 | 补发1月 | 150.00 |
|
||||
| 粤AGP5685 | 金可鹏 | 补发2月 | 150.00 |
|
||||
| 粤AGP5685 | 金可鹏 | 补发3月 | 48.39 |
|
||||
| 粤AGP5685 | 金可鹏 | 补发5月 | 38.71 |
|
||||
|
||||
**新源新增（连锁反应，共133.33元）：**
|
||||
|
||||
| 车牌 | 销售 | 发放类型 | 新增金额 |
|
||||
|------|------|----------|----------|
|
||||
| 粤A01396F | 钟祥 | 当月 | 100.00 |
|
||||
| 粤A05776F | 金可鹏 | 当月 | 33.33 |
|
||||
|
||||
---
|
||||
|
||||
## 结论
|
||||
|
||||
- 旧源因重复记录**多发 1,116.83 元**，涉及刘念念(-563.06)、金可鹏(-653.77)、钟祥(+100.00)
|
||||
- 新源去重后数据正确，以新源计算结果为准：**考核应发 96,665.27 元**
|
||||
- GPS数据源无问题（本地G7+东方北斗与数据库一致）
|
||||
- 其余9人发放金额完全不受影响
|
||||
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|
||||
import openpyxl
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
from collections import defaultdict
|
||||
|
||||
FP = '/Users/kkfluous/Downloads/租赁任务考核_2026年5月.xlsx'
|
||||
|
||||
def num(x):
|
||||
try: return float(x or 0)
|
||||
except: return 0.0
|
||||
|
||||
# 读数据
|
||||
wb_r = openpyxl.load_workbook(FP, data_only=True)
|
||||
ws_r = wb_r['业务考核视图']
|
||||
h = [c.value for c in next(ws_r.iter_rows(min_row=1, max_row=1))]
|
||||
recs = [dict(zip(h, row)) for row in ws_r.iter_rows(min_row=2, values_only=True) if row[0]]
|
||||
|
||||
# 备份仪表盘
|
||||
import os
|
||||
bak = '/Users/kkfluous/Downloads/租赁任务考核_2026年5月_原版备份.xlsx'
|
||||
bak_map = {}
|
||||
if os.path.exists(bak):
|
||||
wb_b = openpyxl.load_workbook(bak, data_only=True)
|
||||
for row in wb_b['业务考核视图'].iter_rows(min_row=2, values_only=True):
|
||||
p = str(row[0]).strip() if row[0] else ''
|
||||
bak_map[p] = num(row[14])
|
||||
wb_b.close()
|
||||
|
||||
test_recs = [r for r in recs if num(r.get('测试里程(km)')) > 0]
|
||||
|
||||
flipped = []
|
||||
for r in test_recs:
|
||||
p = str(r['车牌号']).strip()
|
||||
old_km = bak_map.get(p, 0)
|
||||
new_km = num(r.get('实际行驶里程(km)'))
|
||||
t = num(r.get('应考核里程(km)'))
|
||||
if t <= 0: continue
|
||||
if old_km >= t and new_km < t:
|
||||
flipped.append(r)
|
||||
|
||||
# 按车型+部门+销售分组
|
||||
by_target = defaultdict(lambda: defaultdict(lambda: defaultdict(int)))
|
||||
for r in flipped:
|
||||
tgt = r.get('考核目标', '未知车型')
|
||||
dept = r.get('部门名称', '')
|
||||
sales = r.get('销售经理', '')
|
||||
by_target[tgt][dept][sales] += 1
|
||||
|
||||
wb_r.close()
|
||||
|
||||
# 写sheet
|
||||
wb = openpyxl.load_workbook(FP)
|
||||
ws = wb['测试与考核情况说明']
|
||||
|
||||
SUB = PatternFill('solid', fgColor='D9E1F2')
|
||||
HEAD = PatternFill('solid', fgColor='4472C4')
|
||||
ALT = PatternFill('solid', fgColor='F2F2F2')
|
||||
THIN = Side('thin', color='B4B4B4')
|
||||
BD = Border(THIN, THIN, THIN, THIN)
|
||||
CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
LL = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
|
||||
# 找到section 二所在的行
|
||||
section2_row = None
|
||||
for r in range(1, ws.max_row + 1):
|
||||
v = ws.cell(row=r, column=1).value
|
||||
if v and '二、测试车辆考核达标情况说明' in str(v):
|
||||
section2_row = r
|
||||
break
|
||||
|
||||
if section2_row:
|
||||
# 删除section 二及之后的所有行（保留数据重新写）
|
||||
# 找到从section2_row+1开始到section三之前的所有行
|
||||
section3_row = None
|
||||
for r in range(section2_row + 1, ws.max_row + 1):
|
||||
v = ws.cell(row=r, column=1).value
|
||||
if v and '三、里程' in str(v):
|
||||
section3_row = r
|
||||
break
|
||||
if not section3_row:
|
||||
section3_row = ws.max_row + 1
|
||||
|
||||
# 清除section2+1 到 section3-1 的内容
|
||||
for r in range(section2_row + 1, section3_row):
|
||||
for c in range(1, 7):
|
||||
ws.cell(row=r, column=c).value = None
|
||||
ws.cell(row=r, column=c).fill = PatternFill()
|
||||
|
||||
r = section2_row + 1
|
||||
|
||||
# 描述行
|
||||
ws.merge_cells(start_row=r, start_column=1, end_row=r, end_column=6)
|
||||
ws.cell(row=r, column=1,
|
||||
value=f'共{len(test_recs)}条考核车辆涉及测试；扣减其测试里程后，共 {len(flipped)} 条考核车辆记录由"达标"转判为"未达标"。')
|
||||
ws.cell(row=r, column=1).font = Font(size=10); ws.cell(row=r, column=1).alignment = LL
|
||||
ws.row_dimensions[r].height = 28
|
||||
r += 2
|
||||
|
||||
# 按车型展示，多车型一行
|
||||
targets_sorted = sorted(by_target.keys())
|
||||
triples = [targets_sorted[i:i+2] for i in range(0, len(targets_sorted), 2)]
|
||||
|
||||
for target_group in triples:
|
||||
for ti, tgt in enumerate(target_group):
|
||||
dept_data = by_target[tgt]
|
||||
dept_order = sorted(dept_data.keys(), key=lambda d: -sum(dept_data[d].values()))
|
||||
total_flip = sum(sum(s.values()) for s in dept_data.values())
|
||||
|
||||
base_col = ti * 3 + 1 # 每车型占3列(车型名|部门-销售|数量)
|
||||
|
||||
# 车型标题行
|
||||
ws.merge_cells(start_row=r, start_column=base_col, end_row=r, end_column=base_col+2)
|
||||
ws.cell(row=r, column=base_col, value=f'{tgt}（{total_flip}辆）').fill = SUB
|
||||
ws.cell(row=r, column=base_col).font = Font(bold=True, color='1F4E78')
|
||||
ws.cell(row=r, column=base_col).alignment = CC
|
||||
for j in range(base_col, base_col+3):
|
||||
ws.cell(row=r, column=j).border = BD
|
||||
r += 1
|
||||
|
||||
# 部门-销售-数量表头
|
||||
for j, hh in enumerate(['部门', '销售经理', '数量'], base_col):
|
||||
ws.cell(row=r, column=j, value=hh).fill = HEAD
|
||||
ws.cell(row=r, column=j).font = Font(bold=True, color='FFFFFF')
|
||||
ws.cell(row=r, column=j).alignment = CC
|
||||
ws.cell(row=r, column=j).border = BD
|
||||
r += 1
|
||||
|
||||
# 数据行
|
||||
row_idx = 0
|
||||
for dept in dept_order:
|
||||
for sales in sorted(dept_data[dept].keys()):
|
||||
cnt = dept_data[dept][sales]
|
||||
ws.cell(row=r, column=base_col, value=dept).alignment = CC
|
||||
ws.cell(row=r, column=base_col+1, value=sales).alignment = CC
|
||||
ws.cell(row=r, column=base_col+2, value=cnt).alignment = CC
|
||||
for j in range(base_col, base_col+3):
|
||||
ws.cell(row=r, column=j).border = BD
|
||||
if row_idx % 2 == 1:
|
||||
ws.cell(row=r, column=j).fill = ALT
|
||||
ws.row_dimensions[r].height = 22
|
||||
r += 1
|
||||
row_idx += 1
|
||||
# 小计行
|
||||
ws.cell(row=r, column=base_col, value='合计').font = Font(bold=True)
|
||||
ws.cell(row=r, column=base_col).alignment = CC
|
||||
ws.cell(row=r, column=base_col+2, value=total_flip).font = Font(bold=True)
|
||||
ws.cell(row=r, column=base_col+2).alignment = CC
|
||||
for j in range(base_col, base_col+3):
|
||||
ws.cell(row=r, column=j).fill = SUB
|
||||
ws.cell(row=r, column=j).border = BD
|
||||
r += 2
|
||||
|
||||
# 跳到下一个triple的起始行
|
||||
# Find max row reached in this triplet
|
||||
pass # r already at right position
|
||||
|
||||
r += 1
|
||||
|
||||
# 列宽
|
||||
for i, w in enumerate([18, 22, 22, 50, 18, 18], 1):
|
||||
ws.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
wb.save(FP)
|
||||
print(f'✅ 更新完成')
|
||||
@@ -0,0 +1,101 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Fix May source: remove 4 vehicles from intervention, fix 粤A02239F GPS data."""
|
||||
import os, shutil, openpyxl, warnings
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
warnings.filterwarnings('ignore')
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
SRC = '租赁任务考核_2026年5月.xlsx'
|
||||
BAK = '租赁任务考核_2026年5月_原版备份.xlsx'
|
||||
|
||||
wb = openpyxl.load_workbook(SRC)
|
||||
ws = wb['业务考核视图']
|
||||
h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
print(f"Headers ({len(h)}):")
|
||||
for i, hh in enumerate(h): print(f" [{i}] {hh}")
|
||||
|
||||
# Column indices
|
||||
COL_PLATE = 0
|
||||
COL_ACTUAL = h.index('实际行驶里程(km)') # GPS or仪表盘
|
||||
COL_TBOX = h.index('原TBOX里程(km)')
|
||||
COL_TEST = h.index('测试里程(km)')
|
||||
COL_RATE = h.index('完成率(%)')
|
||||
COL_PASS = h.index('是否达标')
|
||||
|
||||
YELLOW = PatternFill('solid', fgColor='FFFF00')
|
||||
NO_FILL = PatternFill() # default/empty
|
||||
|
||||
# ── Fix 1: Remove 4 vehicles from intervention ──
|
||||
REMOVE = {'粤A03186F', '粤A01128F', '粤A08391F', '粤A01396F'}
|
||||
|
||||
removed_count = 0
|
||||
for row in ws.iter_rows(min_row=2, max_row=ws.max_row):
|
||||
plate = str(row[COL_PLATE].value or '').strip()
|
||||
if plate not in REMOVE:
|
||||
continue
|
||||
|
||||
tbox = row[COL_TBOX].value # this is the original仪表盘里程
|
||||
if tbox is None or float(tbox or 0) <= 0:
|
||||
continue
|
||||
|
||||
original_km = float(tbox)
|
||||
target_km = float(row[h.index('应考核里程(km)')].value or 0)
|
||||
|
||||
# Restore: 实际行驶里程 = original仪表盘
|
||||
row[COL_ACTUAL].value = original_km
|
||||
row[COL_TBOX].value = None # clear TBOX (non-intervention)
|
||||
row[COL_TEST].value = 0 # clear test
|
||||
|
||||
# Recalculate
|
||||
rate = round(original_km / target_km * 100, 2) if target_km > 0 else 0
|
||||
new_pass = '达标' if original_km >= target_km and target_km > 0 else '未达标'
|
||||
row[COL_RATE].value = rate
|
||||
row[COL_PASS].value = new_pass
|
||||
|
||||
# Remove yellow highlight
|
||||
for c in range(len(h)):
|
||||
row[c].fill = NO_FILL
|
||||
|
||||
removed_count += 1
|
||||
print(f" 移除: {plate} 实际恢复={original_km} 达标={new_pass}")
|
||||
|
||||
print(f"移除干预: {removed_count} 辆")
|
||||
|
||||
# ── Fix 2: 粤A02239F GPS = 539.7 ──
|
||||
plate = '粤A02239F'
|
||||
for row in ws.iter_rows(min_row=2, max_row=ws.max_row):
|
||||
p = str(row[COL_PLATE].value or '').strip()
|
||||
if p != plate:
|
||||
continue
|
||||
|
||||
tbox = float(row[COL_TBOX].value or 0)
|
||||
gps_new = 539.7
|
||||
target_km = float(row[h.index('应考核里程(km)')].value or 0)
|
||||
|
||||
row[COL_ACTUAL].value = gps_new
|
||||
row[COL_TEST].value = round(tbox - gps_new, 2)
|
||||
rate = round(gps_new / target_km * 100, 2) if target_km > 0 else 0
|
||||
new_pass = '达标' if gps_new >= target_km and target_km > 0 else '未达标'
|
||||
row[COL_RATE].value = rate
|
||||
row[COL_PASS].value = new_pass
|
||||
|
||||
print(f"\n修复: {plate} GPS={gps_new} TBOX={tbox} Test={round(tbox-gps_new,2)} 达标={new_pass}")
|
||||
break
|
||||
|
||||
# ── Save ──
|
||||
wb.save(SRC)
|
||||
print(f"\n✅ 已保存: {SRC}")
|
||||
|
||||
# ── Quick stats ──
|
||||
wb2 = openpyxl.load_workbook(SRC, data_only=True)
|
||||
ws2 = wb2['业务考核视图']
|
||||
h2 = [c.value for c in next(ws2.iter_rows(min_row=1, max_row=1))]
|
||||
total = 0; pass_count = 0
|
||||
for row in ws2.iter_rows(min_row=2, values_only=True):
|
||||
if not row[0]: continue
|
||||
r = dict(zip(h2, row))
|
||||
total += 1
|
||||
if r.get('是否达标') == '达标': pass_count += 1
|
||||
wb2.close()
|
||||
print(f"总记录={total} 达标={pass_count}")
|
||||
@@ -0,0 +1,327 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Generate 租赁任务考核_2026年5月_干预情况说明.xlsx based on updated source data."""
|
||||
import os, openpyxl
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
from collections import defaultdict
|
||||
from copy import copy
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
SRC = '租赁任务考核_2026年5月.xlsx'
|
||||
BAK = '租赁任务考核_2026年5月_原版备份.xlsx'
|
||||
|
||||
# ── Read source ──
|
||||
wb_s = openpyxl.load_workbook(SRC, data_only=True)
|
||||
ws_s = wb_s['业务考核视图']
|
||||
src_headers = [c.value for c in next(ws_s.iter_rows(min_row=1, max_row=1))]
|
||||
src_data = list(ws_s.iter_rows(min_row=2, values_only=True))
|
||||
wb_s.close()
|
||||
|
||||
# ── Read backup ──
|
||||
wb_b = openpyxl.load_workbook(BAK, data_only=True)
|
||||
ws_b = wb_b['业务考核视图']
|
||||
bak_data = list(ws_b.iter_rows(min_row=2, values_only=True))
|
||||
wb_b.close()
|
||||
|
||||
print(f"Source: {len(src_data)} records")
|
||||
print(f"Backup: {len(bak_data)} records")
|
||||
|
||||
# ── Compare ──
|
||||
# Build plate -> row map for backup (keep all, including duplicates)
|
||||
def make_key(row):
|
||||
plate = str(row[0]).strip() if row[0] else ''
|
||||
sales = str(row[4]).strip() if len(row) > 4 and row[4] else ''
|
||||
target = str(row[9]).strip() if len(row) > 9 and row[9] else ''
|
||||
return (plate, sales, target)
|
||||
|
||||
bak_map = {}
|
||||
for r in bak_data:
|
||||
k = make_key(r)
|
||||
bak_map[k] = r
|
||||
|
||||
src_map = {}
|
||||
for r in src_data:
|
||||
k = make_key(r)
|
||||
src_map[k] = r
|
||||
|
||||
# Find new/changed/removed
|
||||
new_records = []
|
||||
changed_records = []
|
||||
removed_records = []
|
||||
|
||||
for k, sr in src_map.items():
|
||||
if k not in bak_map:
|
||||
new_records.append(sr)
|
||||
else:
|
||||
br = bak_map[k]
|
||||
old_pass = str(br[16]).strip() if len(br) > 16 else ''
|
||||
new_pass = str(sr[16]).strip() if len(sr) > 16 else ''
|
||||
old_km = float(br[14] or 0) if len(br) > 14 else 0
|
||||
new_km = float(sr[14] or 0) if len(sr) > 14 else 0
|
||||
old_rate = float(br[15] or 0) if len(br) > 15 else 0
|
||||
new_rate = float(sr[15] or 0) if len(sr) > 15 else 0
|
||||
if old_pass != new_pass or abs(old_km - new_km) > 0.01 or abs(old_rate - new_rate) > 0.01:
|
||||
changed_records.append((br, sr))
|
||||
|
||||
for k, br in bak_map.items():
|
||||
if k not in src_map:
|
||||
removed_records.append(br)
|
||||
|
||||
print(f"New: {len(new_records)}, Changed: {len(changed_records)}, Removed: {len(removed_records)}")
|
||||
|
||||
# Count达标 changes
|
||||
old_pass_count = sum(1 for r in bak_data if str(r[16]).strip() == '达标' if len(r) > 16)
|
||||
new_pass_count = sum(1 for r in src_data if str(r[16]).strip() == '达标' if len(r) > 16)
|
||||
print(f"达标: {old_pass_count} -> {new_pass_count}")
|
||||
|
||||
# Flip analysis (达标 → 未达标)
|
||||
flipped = []
|
||||
for old_r, new_r in changed_records:
|
||||
old_p = str(old_r[16]).strip() if len(old_r) > 16 else ''
|
||||
new_p = str(new_r[16]).strip() if len(new_r) > 16 else ''
|
||||
if old_p == '达标' and new_p == '未达标':
|
||||
flipped.append((old_r, new_r))
|
||||
# Reverse flip (未达标 → 达标)
|
||||
reversed_flip = []
|
||||
for old_r, new_r in changed_records:
|
||||
old_p = str(old_r[16]).strip() if len(old_r) > 16 else ''
|
||||
new_p = str(new_r[16]).strip() if len(new_r) > 16 else ''
|
||||
if old_p == '未达标' and new_p == '达标':
|
||||
reversed_flip.append((old_r, new_r))
|
||||
|
||||
print(f"Flipped (达标→未达标): {len(flipped)}")
|
||||
print(f"Reversed (未达标→达标): {len(reversed_flip)}")
|
||||
|
||||
# ── Generate Excel ──
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
# Styles
|
||||
TITLE_FONT = Font(bold=True, size=14)
|
||||
SECTION_FONT = Font(bold=True, size=12, color='1F4E78')
|
||||
HEADER_FILL = PatternFill('solid', fgColor='4472C4')
|
||||
HEADER_FONT = Font(bold=True, color='FFFFFF', size=10)
|
||||
SUB_FILL = PatternFill('solid', fgColor='D9E1F2')
|
||||
ALT_FILL = PatternFill('solid', fgColor='F2F2F2')
|
||||
NOTE_FONT = Font(size=10)
|
||||
BOLD_FONT = Font(bold=True, size=10)
|
||||
THIN = Side('thin', color='B4B4B4')
|
||||
BORDER = Border(THIN, THIN, THIN, THIN)
|
||||
CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
LL = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
NUM_FMT = '#,##0.00'
|
||||
|
||||
def style_header_row(ws, row, ncols, fill=HEADER_FILL, font=HEADER_FONT):
|
||||
for c in range(1, ncols + 1):
|
||||
cell = ws.cell(row=row, column=c)
|
||||
cell.fill = fill
|
||||
cell.font = font
|
||||
cell.alignment = CC
|
||||
cell.border = BORDER
|
||||
|
||||
def style_data_row(ws, row, ncols, alt=False):
|
||||
for c in range(1, ncols + 1):
|
||||
cell = ws.cell(row=row, column=c)
|
||||
cell.border = BORDER
|
||||
cell.font = Font(size=10)
|
||||
cell.alignment = CC
|
||||
if alt:
|
||||
cell.fill = ALT_FILL
|
||||
|
||||
# ── Sheet 1: 测试与考核情况说明 ──
|
||||
ws1 = wb.active
|
||||
ws1.title = '测试与考核情况说明'
|
||||
ws1.sheet_properties.tabColor = '4472C4'
|
||||
|
||||
ws1.merge_cells('A1:G1')
|
||||
ws1.cell(row=1, column=1, value='2026年5月 业务考核 — 数据更新说明').font = TITLE_FONT
|
||||
ws1.cell(row=1, column=1).alignment = CC
|
||||
ws1.row_dimensions[1].height = 30
|
||||
|
||||
ws1.merge_cells('A2:G2')
|
||||
desc = (
|
||||
'5月业务考核源数据已于近期更新。'
|
||||
f'共{len(src_data)}条考核记录，{new_pass_count}条达标（原{old_pass_count}条）。\n'
|
||||
f'本次数据更新：新增{len(new_records)}条，变更{len(changed_records)}条，删除{len(removed_records)}条。\n'
|
||||
f'其中达标→未达标翻转{len(flipped)}条，未达标→达标翻转{len(reversed_flip)}条。\n'
|
||||
'本文件记录更新前后的数据对比，供核查参考。'
|
||||
)
|
||||
ws1.cell(row=2, column=1, value=desc).font = NOTE_FONT
|
||||
ws1.cell(row=2, column=1).alignment = Alignment(horizontal='left', vertical='top', wrap_text=True)
|
||||
ws1.row_dimensions[2].height = 80
|
||||
|
||||
r = 4
|
||||
ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=7)
|
||||
ws1.cell(row=r, column=1, value='一、5月业务考核概况').font = SECTION_FONT
|
||||
ws1.cell(row=r, column=1).alignment = LL
|
||||
r += 1
|
||||
|
||||
summary_data = [
|
||||
('项目', '5月业务考核车辆', '变更记录', '占比/变化'),
|
||||
('考核记录数(条)', len(src_data), len(changed_records), f'{len(changed_records)/len(src_data)*100:.1f}%' if len(src_data) > 0 else '0%'),
|
||||
('达标记录数(条)', new_pass_count, new_pass_count - old_pass_count, f'{"+" if new_pass_count >= old_pass_count else ""}{new_pass_count - old_pass_count}'),
|
||||
('未达标记录数(条)', len(src_data) - new_pass_count, (len(src_data) - new_pass_count) - (len(bak_data) - old_pass_count), ''),
|
||||
('达标率', f'{new_pass_count/len(src_data)*100:.1f}%' if len(src_data) > 0 else '0%', '', ''),
|
||||
]
|
||||
|
||||
for i, row_data in enumerate(summary_data):
|
||||
for c, val in enumerate(row_data, 1):
|
||||
ws1.cell(row=r, column=c, value=val)
|
||||
if i == 0:
|
||||
style_header_row(ws1, r, 4)
|
||||
else:
|
||||
style_data_row(ws1, r, 4, alt=(i % 2 == 0))
|
||||
ws1.cell(row=r, column=1).alignment = LL
|
||||
r += 1
|
||||
|
||||
r += 1
|
||||
ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=7)
|
||||
ws1.cell(row=r, column=1, value='二、考核记录变更明细').font = SECTION_FONT
|
||||
ws1.cell(row=r, column=1).alignment = LL
|
||||
r += 1
|
||||
|
||||
if flipped:
|
||||
ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=7)
|
||||
ws1.cell(row=r, column=1, value=f'2.1 达→未达标翻转（{len(flipped)}条）').font = Font(bold=True, color='C00000')
|
||||
r += 1
|
||||
|
||||
flip_headers = ['车牌号', '部门', '销售经理', '客户名称', '考核目标', '原实际里程', '新实际里程', '原是否达标', '新是否达标']
|
||||
for c, h in enumerate(flip_headers, 1):
|
||||
ws1.cell(row=r, column=c, value=h)
|
||||
style_header_row(ws1, r, len(flip_headers))
|
||||
r += 1
|
||||
|
||||
for i, (old_r, new_r) in enumerate(flipped):
|
||||
vals = [
|
||||
str(old_r[0]) if old_r[0] else '',
|
||||
str(old_r[3]) if len(old_r) > 3 else '',
|
||||
str(old_r[4]) if len(old_r) > 4 else '',
|
||||
str(old_r[5]) if len(old_r) > 5 else '',
|
||||
str(old_r[9]) if len(old_r) > 9 else '',
|
||||
round(float(old_r[14] or 0), 2) if len(old_r) > 14 and old_r[14] else 0,
|
||||
round(float(new_r[14] or 0), 2) if len(new_r) > 14 and new_r[14] else 0,
|
||||
str(old_r[16]) if len(old_r) > 16 else '',
|
||||
str(new_r[16]) if len(new_r) > 16 else '',
|
||||
]
|
||||
for c, val in enumerate(vals, 1):
|
||||
ws1.cell(row=r, column=c, value=val)
|
||||
style_data_row(ws1, r, len(flip_headers), alt=(i % 2 == 1))
|
||||
r += 1
|
||||
r += 1
|
||||
|
||||
if reversed_flip:
|
||||
ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=7)
|
||||
ws1.cell(row=r, column=1, value=f'2.2 未达标→达标翻转（{len(reversed_flip)}条）').font = Font(bold=True, color='008000')
|
||||
r += 1
|
||||
|
||||
for c, h in enumerate(flip_headers, 1):
|
||||
ws1.cell(row=r, column=c, value=h)
|
||||
style_header_row(ws1, r, len(flip_headers))
|
||||
r += 1
|
||||
|
||||
for i, (old_r, new_r) in enumerate(reversed_flip):
|
||||
vals = [
|
||||
str(old_r[0]) if old_r[0] else '',
|
||||
str(old_r[3]) if len(old_r) > 3 else '',
|
||||
str(old_r[4]) if len(old_r) > 4 else '',
|
||||
str(old_r[5]) if len(old_r) > 5 else '',
|
||||
str(old_r[9]) if len(old_r) > 9 else '',
|
||||
round(float(old_r[14] or 0), 2) if len(old_r) > 14 and old_r[14] else 0,
|
||||
round(float(new_r[14] or 0), 2) if len(new_r) > 14 and new_r[14] else 0,
|
||||
str(old_r[16]) if len(old_r) > 16 else '',
|
||||
str(new_r[16]) if len(new_r) > 16 else '',
|
||||
]
|
||||
for c, val in enumerate(vals, 1):
|
||||
ws1.cell(row=r, column=c, value=val)
|
||||
style_data_row(ws1, r, len(flip_headers), alt=(i % 2 == 1))
|
||||
r += 1
|
||||
r += 1
|
||||
|
||||
if other_changes := [(o, n) for o, n in changed_records
|
||||
if not (str(o[16]).strip() == '达标' and str(n[16]).strip() == '未达标')
|
||||
and not (str(o[16]).strip() == '未达标' and str(n[16]).strip() == '达标')]:
|
||||
ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=7)
|
||||
ws1.cell(row=r, column=1, value=f'2.3 其他变更（{len(other_changes)}条，里程变化但达标状态不变）').font = BOLD_FONT
|
||||
r += 1
|
||||
|
||||
col_widths = [14, 12, 12, 30, 22, 16, 16, 12, 12]
|
||||
for i, w in enumerate(col_widths, 1):
|
||||
ws1.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ── Sheet 2: 业务考核视图 (current data) ──
|
||||
ws2 = wb.create_sheet('业务考核视图')
|
||||
ws2.sheet_properties.tabColor = '70AD47'
|
||||
|
||||
for c, h in enumerate(src_headers, 1):
|
||||
ws2.cell(row=1, column=c, value=h)
|
||||
style_header_row(ws2, 1, len(src_headers))
|
||||
|
||||
for i, row in enumerate(src_data):
|
||||
for c, val in enumerate(row, 1):
|
||||
ws2.cell(row=i + 2, column=c, value=val)
|
||||
style_data_row(ws2, i + 2, len(src_headers), alt=(i % 2 == 1))
|
||||
|
||||
for i, w in enumerate([12, 8, 8, 12, 10, 28, 20, 24, 10, 22, 12, 12, 10, 16, 16, 10, 10, 10, 12, 12, 12], 1):
|
||||
ws2.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ── Sheet 3: 5月业务考核车辆总览 ──
|
||||
ws3 = wb.create_sheet('5月业务考核车辆总览')
|
||||
ws3.sheet_properties.tabColor = 'ED7D31'
|
||||
|
||||
for c, h in enumerate(src_headers, 1):
|
||||
ws3.cell(row=1, column=c, value=h)
|
||||
style_header_row(ws3, 1, len(src_headers))
|
||||
|
||||
for i, row in enumerate(src_data):
|
||||
for c, val in enumerate(row, 1):
|
||||
ws3.cell(row=i + 2, column=c, value=val)
|
||||
style_data_row(ws3, i + 2, len(src_headers), alt=(i % 2 == 1))
|
||||
|
||||
for i, w in enumerate([12, 8, 8, 12, 10, 28, 20, 24, 10, 22, 12, 12, 10, 16, 16, 10, 10, 10, 12, 12, 12], 1):
|
||||
ws3.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ── Sheet 4: 涉及变更的业务考核车辆 ──
|
||||
ws4 = wb.create_sheet('涉及变更的业务考核车辆')
|
||||
ws4.sheet_properties.tabColor = 'FFC000'
|
||||
|
||||
ws4.merge_cells('A1:U1')
|
||||
ws4.cell(row=1, column=1, value=f'变更记录汇总 — 新增{len(new_records)}条 / 变更{len(changed_records)}条 / 删除{len(removed_records)}条').font = Font(bold=True, size=11)
|
||||
ws4.cell(row=1, column=1).alignment = CC
|
||||
ws4.row_dimensions[1].height = 24
|
||||
|
||||
# Source headers + change type col
|
||||
ext_headers = list(src_headers) + ['变更类型', '原实际里程', '原是否达标']
|
||||
for c, h in enumerate(ext_headers, 1):
|
||||
ws4.cell(row=3, column=c, value=h)
|
||||
style_header_row(ws4, 3, len(ext_headers))
|
||||
|
||||
r = 4
|
||||
# New records
|
||||
for i, rec in enumerate(new_records):
|
||||
for c, val in enumerate(rec, 1):
|
||||
ws4.cell(row=r, column=c, value=val)
|
||||
ws4.cell(row=r, column=len(src_headers) + 1, value='新增')
|
||||
style_data_row(ws4, r, len(ext_headers), alt=(i % 2 == 1))
|
||||
ws4.row_dimensions[r].height = 20
|
||||
r += 1
|
||||
|
||||
# Changed records
|
||||
for i, (old_r, new_r) in enumerate(changed_records):
|
||||
for c, val in enumerate(new_r, 1):
|
||||
ws4.cell(row=r, column=c, value=val)
|
||||
ws4.cell(row=r, column=len(src_headers) + 1, value='变更')
|
||||
old_km = round(float(old_r[14] or 0), 2) if len(old_r) > 14 and old_r[14] else 0
|
||||
old_pass = str(old_r[16]) if len(old_r) > 16 else ''
|
||||
ws4.cell(row=r, column=len(src_headers) + 2, value=old_km)
|
||||
ws4.cell(row=r, column=len(src_headers) + 3, value=old_pass)
|
||||
style_data_row(ws4, r, len(ext_headers), alt=(i % 2 == 1))
|
||||
ws4.row_dimensions[r].height = 20
|
||||
r += 1
|
||||
|
||||
for i, w in enumerate([12, 8, 8, 12, 10, 28, 20, 24, 10, 22, 12, 12, 10, 16, 16, 10, 10, 10, 12, 12, 12, 10, 14, 12], 1):
|
||||
ws4.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ── Save ──
|
||||
out_path = 'new-kpi-202605_1/租赁任务考核_2026年5月_干预情况说明.xlsx'
|
||||
wb.save(out_path)
|
||||
print(f'\n✅ {out_path} ({len(wb.sheetnames)} sheets)')
|
||||
@@ -0,0 +1,330 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Generate 租赁任务考核_2026年5月_干预情况说明.xlsx — GPS干预后的完整说明"""
|
||||
import os, openpyxl
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
from collections import defaultdict
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
SRC = '租赁任务考核_2026年5月.xlsx'
|
||||
BAK = '租赁任务考核_2026年5月_原版备份.xlsx'
|
||||
INTV = '标黄为5月干预车辆.xlsx'
|
||||
|
||||
# Styles
|
||||
HEAD = PatternFill('solid', fgColor='4472C4')
|
||||
HFONT = Font(bold=True, color='FFFFFF', size=10)
|
||||
SUB = PatternFill('solid', fgColor='D9E1F2')
|
||||
ALT = PatternFill('solid', fgColor='F2F2F2')
|
||||
TITLE_FONT = Font(bold=True, size=14)
|
||||
SEC_FONT = Font(bold=True, size=12, color='1F4E78')
|
||||
NOTE_FONT = Font(size=10)
|
||||
BOLD_FONT = Font(bold=True, size=10)
|
||||
RED_FONT = Font(size=10, color='C00000')
|
||||
BORD = Border(Side('thin','B4B4B4'), Side('thin','B4B4B4'), Side('thin','B4B4B4'), Side('thin','B4B4B4'))
|
||||
CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
LL = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
|
||||
# ── Load intervention plates ──
|
||||
wb_i = openpyxl.load_workbook(INTV)
|
||||
ws_i = wb_i['Sheet1']
|
||||
yellow_plates = set()
|
||||
for row in ws_i.iter_rows(min_row=2, values_only=False):
|
||||
cell = row[0]
|
||||
fill = cell.fill
|
||||
is_yellow = (fill and fill.patternType == 'solid' and fill.start_color
|
||||
and fill.start_color.rgb and 'FFFF00' in str(fill.start_color.rgb))
|
||||
if is_yellow:
|
||||
p = str(cell.value).strip() if cell.value else ''
|
||||
if p:
|
||||
yellow_plates.add(p)
|
||||
wb_i.close()
|
||||
|
||||
# ── Load source (post-intervention) and backup (pre-intervention) ──
|
||||
def load_records(fp):
|
||||
wb = openpyxl.load_workbook(fp, data_only=True)
|
||||
ws = wb['业务考核视图']
|
||||
h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
recs = []
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
if row[0]:
|
||||
recs.append(dict(zip(h, row)))
|
||||
wb.close()
|
||||
return recs
|
||||
|
||||
src_recs = load_records(SRC)
|
||||
bak_recs = load_records(BAK)
|
||||
|
||||
# Build plate -> {backup rec, source rec}
|
||||
bak_by_plate = {}
|
||||
for r in bak_recs:
|
||||
p = str(r['车牌号']).strip()
|
||||
# For duplicate plates, keep last
|
||||
key = (p, str(r.get('销售经理','')), str(r.get('项目名称','')))
|
||||
bak_by_plate[key] = r
|
||||
|
||||
src_by_plate = {}
|
||||
for r in src_recs:
|
||||
p = str(r['车牌号']).strip()
|
||||
key = (p, str(r.get('销售经理','')), str(r.get('项目名称','')))
|
||||
src_by_plate[key] = r
|
||||
|
||||
# ── Analyze intervention impact ──
|
||||
# For each source record that's an intervention vehicle, find its backup
|
||||
intv_records = []
|
||||
for key, sr in src_by_plate.items():
|
||||
p = key[0]
|
||||
if p not in yellow_plates:
|
||||
continue
|
||||
br = bak_by_plate.get(key)
|
||||
tbox = sr.get('原TBOX里程(km)')
|
||||
gps = sr.get('实际行驶里程(km)')
|
||||
test = sr.get('测试里程(km)')
|
||||
old_actual = float(br['实际行驶里程(km)'] or 0) if br else 0
|
||||
old_pass = str(br['是否达标']).strip() if br else '?'
|
||||
new_pass = str(sr['是否达标']).strip() if sr else '?'
|
||||
target = float(sr.get('应考核里程(km)', 0) or 0)
|
||||
|
||||
tbox_val = float(tbox or 0)
|
||||
gps_val = float(gps or 0)
|
||||
test_val = float(test or 0)
|
||||
|
||||
flip = ''
|
||||
if old_pass == '达标' and new_pass == '未达标':
|
||||
flip = '达→未达标'
|
||||
elif old_pass == '未达标' and new_pass == '达标':
|
||||
flip = '未→达标'
|
||||
|
||||
has_gps = '有' if gps_val > 0 else '无GPS数据'
|
||||
|
||||
intv_records.append({
|
||||
'plate': p, 'dept': sr.get('部门名称', ''), 'sales': sr.get('销售经理', ''),
|
||||
'client': sr.get('客户名称', ''), 'target_name': sr.get('考核目标', ''),
|
||||
'target_km': target, 'old_actual': old_actual, 'tbox': tbox_val,
|
||||
'gps': gps_val, 'test': test_val, 'old_pass': old_pass, 'new_pass': new_pass,
|
||||
'flip': flip, 'has_gps': has_gps
|
||||
})
|
||||
|
||||
print(f"Intervention records: {len(intv_records)}")
|
||||
flip_down = [r for r in intv_records if r['flip'] == '达→未达标']
|
||||
flip_up = [r for r in intv_records if r['flip'] == '未→达标']
|
||||
no_gps = [r for r in intv_records if r['gps'] == 0]
|
||||
print(f"达→未达标: {len(flip_down)}, 未→达标: {len(flip_up)}, 无GPS: {len(no_gps)}")
|
||||
|
||||
# ── Intervention vehicles by target type ──
|
||||
by_target = defaultdict(list)
|
||||
for r in intv_records:
|
||||
by_target[r['target_name']].append(r)
|
||||
|
||||
# ── Generate workbook ──
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
def style_header(ws, row, ncols):
|
||||
for c in range(1, ncols+1):
|
||||
cell = ws.cell(row=row, column=c)
|
||||
cell.fill = HEAD; cell.font = HFONT; cell.alignment = CC; cell.border = BORD
|
||||
|
||||
def style_row(ws, row, ncols, alt=False):
|
||||
for c in range(1, ncols+1):
|
||||
cell = ws.cell(row=row, column=c)
|
||||
cell.border = BORD; cell.font = Font(size=10); cell.alignment = CC
|
||||
if alt: cell.fill = ALT
|
||||
|
||||
# ── Sheet 1: 测试与考核情况说明 ──
|
||||
ws1 = wb.active
|
||||
ws1.title = '测试与考核情况说明'
|
||||
ws1.sheet_properties.tabColor = '4472C4'
|
||||
|
||||
ws1.merge_cells('A1:H1')
|
||||
ws1.cell(row=1, column=1, value='2026年5月 业务考核 — GPS干预与考核情况说明').font = TITLE_FONT
|
||||
ws1.cell(row=1, column=1).alignment = CC
|
||||
ws1.row_dimensions[1].height = 32
|
||||
|
||||
desc = (
|
||||
f'5月共计{len(src_recs)}条考核记录，其中{len(yellow_plates)}辆车/{len(intv_records)}条记录涉及GPS里程干预。\n'
|
||||
'干预规则：对于标黄车辆，使用G7平台GPS每日里程（考核期内逐日累加）替代原仪表盘里程作为实际行驶里程参与考核。\n'
|
||||
f'GPS数据来源：hydrogen_energy.ln_vehicle_g7_mileage（101.133.130.65），按考核起止时间汇总每日total_mileage/100000=km。\n'
|
||||
f'干预结果：{len(flip_down)}条由达标翻转为未达标，{len(flip_up)}条由未达标翻转为达标，{len(no_gps)}条车辆无GPS数据（里程记为0）。'
|
||||
)
|
||||
ws1.merge_cells('A2:H2')
|
||||
ws1.cell(row=2, column=1, value=desc).font = NOTE_FONT
|
||||
ws1.cell(row=2, column=1).alignment = Alignment(horizontal='left', vertical='top', wrap_text=True)
|
||||
ws1.row_dimensions[2].height = 80
|
||||
|
||||
r = 4
|
||||
ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=8)
|
||||
ws1.cell(row=r, column=1, value='一、5月考核概况（GPS干预后）').font = SEC_FONT
|
||||
r += 1
|
||||
|
||||
# Summary table
|
||||
summary_headers = ['指标', '干预前', '干预后', '变化']
|
||||
for c, h in enumerate(summary_headers, 1):
|
||||
ws1.cell(row=r, column=c, value=h)
|
||||
style_header(ws1, r, 4)
|
||||
r += 1
|
||||
|
||||
old_pass_count = sum(1 for r in bak_recs if str(r.get('是否达标','')).strip() == '达标')
|
||||
new_pass_count = sum(1 for r in src_recs if str(r.get('是否达标','')).strip() == '达标')
|
||||
old_fail = len(bak_recs) - old_pass_count
|
||||
new_fail = len(src_recs) - new_pass_count
|
||||
|
||||
summary_rows = [
|
||||
('考核记录数(条)', len(bak_recs), len(src_recs), ''),
|
||||
('达标记录数(条)', old_pass_count, new_pass_count, f'{new_pass_count - old_pass_count:+d}'),
|
||||
('未达标记录数(条)', old_fail, new_fail, f'{new_fail - old_fail:+d}'),
|
||||
('达标率', f'{old_pass_count/len(bak_recs)*100:.1f}%', f'{new_pass_count/len(src_recs)*100:.1f}%', ''),
|
||||
('干预车辆数', len(yellow_plates), len(yellow_plates), ''),
|
||||
('涉及考核记录', len(intv_records), len(intv_records), ''),
|
||||
('有GPS数据', '', sum(1 for r in intv_records if r['gps'] > 0), ''),
|
||||
('无GPS数据(里程=0)', '', len(no_gps), ''),
|
||||
]
|
||||
|
||||
for row_data in summary_rows:
|
||||
for c, val in enumerate(row_data, 1):
|
||||
ws1.cell(row=r, column=c, value=val)
|
||||
style_row(ws1, r, 4)
|
||||
r += 1
|
||||
|
||||
r += 1
|
||||
ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=8)
|
||||
ws1.cell(row=r, column=1, value='二、干预车型达标翻转统计').font = SEC_FONT
|
||||
r += 1
|
||||
|
||||
# By target type
|
||||
flip_headers = ['考核目标', '干预车辆数', '达→未达标', '未→达标', '有GPS数据', '无GPS数据']
|
||||
for c, h in enumerate(flip_headers, 1):
|
||||
ws1.cell(row=r, column=c, value=h)
|
||||
style_header(ws1, r, 6)
|
||||
r += 1
|
||||
|
||||
# Sort: most affected first
|
||||
target_order = sorted(by_target.keys(), key=lambda t: -len(by_target[t]))
|
||||
for i, tgt in enumerate(target_order):
|
||||
recs = by_target[tgt]
|
||||
ws1.cell(row=r, column=1, value=tgt)
|
||||
ws1.cell(row=r, column=2, value=len(recs))
|
||||
ws1.cell(row=r, column=3, value=sum(1 for x in recs if x['flip'] == '达→未达标'))
|
||||
ws1.cell(row=r, column=4, value=sum(1 for x in recs if x['flip'] == '未→达标'))
|
||||
ws1.cell(row=r, column=5, value=sum(1 for x in recs if x['gps'] > 0))
|
||||
ws1.cell(row=r, column=6, value=sum(1 for x in recs if x['gps'] == 0))
|
||||
style_row(ws1, r, 6, alt=(i%2==1))
|
||||
r += 1
|
||||
|
||||
col_widths1 = [14, 15, 15, 15, 18, 18, 18, 18]
|
||||
for i, w in enumerate(col_widths1, 1):
|
||||
ws1.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ── Sheet 2: 干预车辆明细 ──
|
||||
ws2 = wb.create_sheet('干预车辆明细')
|
||||
ws2.sheet_properties.tabColor = 'ED7D31'
|
||||
|
||||
ws2.merge_cells('A1:N1')
|
||||
ws2.cell(row=1, column=1, value='5月干预车辆 — 原仪表盘里程 vs GPS里程 逐条对比').font = TITLE_FONT
|
||||
ws2.cell(row=1, column=1).alignment = CC
|
||||
ws2.row_dimensions[1].height = 28
|
||||
|
||||
detail_headers = ['车牌号', '部门', '销售经理', '客户名称', '考核目标',
|
||||
'考核天数', '应考核里程(km)', '原仪表盘里程(km)', 'GPS行驶里程(km)',
|
||||
'测试里程(km)', '原是否达标', '干预后达标', '翻转', 'GPS数据']
|
||||
r2 = 3
|
||||
for c, h in enumerate(detail_headers, 1):
|
||||
ws2.cell(row=r2, column=c, value=h)
|
||||
style_header(ws2, r2, 14)
|
||||
r2 += 1
|
||||
|
||||
# Sort: flip-down first, then no-GPS, then others
|
||||
intv_records.sort(key=lambda r: (0 if r['flip'] == '达→未达标' else 1 if r['gps'] == 0 else 2, r['plate']))
|
||||
|
||||
for i, rec in enumerate(intv_records):
|
||||
ws2.cell(row=r2, column=1, value=rec['plate'])
|
||||
ws2.cell(row=r2, column=2, value=rec['dept'])
|
||||
ws2.cell(row=r2, column=3, value=rec['sales'])
|
||||
ws2.cell(row=r2, column=4, value=rec['client'])
|
||||
ws2.cell(row=r2, column=5, value=rec['target_name'])
|
||||
ws2.cell(row=r2, column=6, value=rec.get('days', ''))
|
||||
ws2.cell(row=r2, column=7, value=round(rec['target_km'], 2))
|
||||
ws2.cell(row=r2, column=8, value=round(rec['tbox'], 2))
|
||||
ws2.cell(row=r2, column=9, value=round(rec['gps'], 2))
|
||||
ws2.cell(row=r2, column=10, value=round(rec['test'], 2))
|
||||
ws2.cell(row=r2, column=11, value=rec['old_pass'])
|
||||
ws2.cell(row=r2, column=12, value=rec['new_pass'])
|
||||
# Flip column with color
|
||||
flip_cell = ws2.cell(row=r2, column=13, value=rec['flip'])
|
||||
if rec['flip'] == '达→未达标':
|
||||
flip_cell.font = RED_FONT
|
||||
ws2.cell(row=r2, column=14, value=rec['has_gps'])
|
||||
|
||||
style_row(ws2, r2, 14, alt=(i%2==1))
|
||||
r2 += 1
|
||||
|
||||
col_widths2 = [12, 10, 10, 26, 20, 8, 14, 16, 16, 14, 10, 10, 10, 10]
|
||||
for i, w in enumerate(col_widths2, 1):
|
||||
ws2.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ── Sheet 3: 业务考核视图 (current, post-intervention) ──
|
||||
ws3 = wb.create_sheet('业务考核视图')
|
||||
ws3.sheet_properties.tabColor = '70AD47'
|
||||
|
||||
src_h = list(src_recs[0].keys())
|
||||
for c, h in enumerate(src_h, 1):
|
||||
ws3.cell(row=1, column=c, value=h)
|
||||
style_header(ws3, 1, len(src_h))
|
||||
|
||||
for i, rec in enumerate(src_recs):
|
||||
for c, h in enumerate(src_h, 1):
|
||||
val = rec.get(h)
|
||||
if val is not None:
|
||||
ws3.cell(row=i+2, column=c, value=val)
|
||||
style_row(ws3, i+2, len(src_h), alt=(i%2==1))
|
||||
|
||||
for i in range(1, len(src_h)+1):
|
||||
ws3.column_dimensions[get_column_letter(i)].width = 12
|
||||
|
||||
# ── Sheet 4: 干预车辆汇总(按部门+销售) ──
|
||||
ws4 = wb.create_sheet('干预汇总(按部门销售)')
|
||||
ws4.sheet_properties.tabColor = 'FFC000'
|
||||
|
||||
ws4.merge_cells('A1:F1')
|
||||
ws4.cell(row=1, column=1, value='干预车辆 — 按部门+销售经理汇总').font = TITLE_FONT
|
||||
ws4.cell(row=1, column=1).alignment = CC
|
||||
|
||||
# Aggregate
|
||||
by_dept_sales = defaultdict(lambda: {'total': 0, 'flip_down': 0, 'flip_up': 0, 'no_gps': 0, 'has_gps': 0, 'gps_amount': 0})
|
||||
for rec in intv_records:
|
||||
key = (rec['dept'], rec['sales'])
|
||||
by_dept_sales[key]['total'] += 1
|
||||
if rec['flip'] == '达→未达标':
|
||||
by_dept_sales[key]['flip_down'] += 1
|
||||
elif rec['flip'] == '未→达标':
|
||||
by_dept_sales[key]['flip_up'] += 1
|
||||
if rec['gps'] > 0:
|
||||
by_dept_sales[key]['has_gps'] += 1
|
||||
by_dept_sales[key]['gps_amount'] += rec['gps']
|
||||
else:
|
||||
by_dept_sales[key]['no_gps'] += 1
|
||||
|
||||
agg_headers = ['部门', '销售经理', '干预车辆数', '达→未达标', '未→达标', '无GPS数据']
|
||||
r4 = 3
|
||||
for c, h in enumerate(agg_headers, 1):
|
||||
ws4.cell(row=r4, column=c, value=h)
|
||||
style_header(ws4, r4, 6)
|
||||
r4 += 1
|
||||
|
||||
for (dept, sales), data in sorted(by_dept_sales.items()):
|
||||
ws4.cell(row=r4, column=1, value=dept)
|
||||
ws4.cell(row=r4, column=2, value=sales)
|
||||
ws4.cell(row=r4, column=3, value=data['total'])
|
||||
ws4.cell(row=r4, column=4, value=data['flip_down'])
|
||||
ws4.cell(row=r4, column=5, value=data['flip_up'])
|
||||
ws4.cell(row=r4, column=6, value=data['no_gps'])
|
||||
style_row(ws4, r4, 6)
|
||||
r4 += 1
|
||||
|
||||
col_widths4 = [14, 12, 12, 12, 12, 12]
|
||||
for i, w in enumerate(col_widths4, 1):
|
||||
ws4.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ── Save ──
|
||||
out_path = 'new-kpi-202605_1/租赁任务考核_2026年5月_干预情况说明.xlsx'
|
||||
wb.save(out_path)
|
||||
print(f'✅ {out_path} ({len(wb.sheetnames)} sheets)')
|
||||
@@ -0,0 +1,410 @@
|
||||
#!/usr/bin/env python3
|
||||
"""生成 租赁任务考核_2026年5月_干预情况说明.xlsx — 公式计算 + %格式 + 完整匹配参考样式"""
|
||||
import os, openpyxl
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side, numbers
|
||||
from openpyxl.utils import get_column_letter
|
||||
from collections import defaultdict
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
SRC = '租赁任务考核_2026年5月.xlsx'
|
||||
BAK = '租赁任务考核_2026年5月_原版备份.xlsx'
|
||||
|
||||
# ─── Styles ───
|
||||
DARK_BLUE = PatternFill('solid', fgColor='1F4E78')
|
||||
LIGHT_BLUE = PatternFill('solid', fgColor='D9E1F2')
|
||||
HD_BLUE = PatternFill('solid', fgColor='4472C4')
|
||||
YELLOW_BG = PatternFill('solid', fgColor='FFF2CC')
|
||||
ALT_GRAY = PatternFill('solid', fgColor='F2F2F2')
|
||||
YELLOW_HL = PatternFill('solid', fgColor='FFFF00')
|
||||
NO_FILL = PatternFill('solid', fgColor='00000000')
|
||||
|
||||
TITLE_F = Font(bold=True, size=14, color='FFFFFF')
|
||||
SEC_F = Font(bold=True, size=12, color='1F4E78')
|
||||
SUB_F = Font(bold=True, size=11, color='1F4E78')
|
||||
HDR_F = Font(bold=True, size=11, color='FFFFFF')
|
||||
BODY_F = Font(size=11)
|
||||
BOLD_F = Font(bold=True, size=11)
|
||||
RED_F = Font(size=10, color='FF0000')
|
||||
DESC_F = Font(size=10)
|
||||
|
||||
THIN = Side('thin', color='B4B4B4')
|
||||
BORD = Border(THIN, THIN, THIN, THIN)
|
||||
CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
LL = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
LT = Alignment(horizontal='left', vertical='top', wrap_text=True)
|
||||
|
||||
# ─── Load yellow intervention plates ───
|
||||
wb_i = openpyxl.load_workbook('标黄为5月干预车辆.xlsx')
|
||||
ws_i = wb_i['Sheet1']
|
||||
YELLOW_PLATES = set()
|
||||
for row in ws_i.iter_rows(min_row=2, values_only=False):
|
||||
cell = row[0]
|
||||
fill = cell.fill
|
||||
is_y = (fill and fill.patternType == 'solid' and fill.start_color
|
||||
and fill.start_color.rgb and 'FFFF00' in str(fill.start_color.rgb))
|
||||
if is_y:
|
||||
p = str(cell.value).strip() if cell.value else ''
|
||||
if p: YELLOW_PLATES.add(p)
|
||||
wb_i.close()
|
||||
# 手动移除4辆已确认非干预
|
||||
YELLOW_PLATES.difference_update({'粤A03186F', '粤A01128F', '粤A08391F', '粤A01396F'})
|
||||
print(f"Yellow plates: {len(YELLOW_PLATES)} (removed 4)")
|
||||
|
||||
# ─── Load data ───
|
||||
def load_recs(fp):
|
||||
wb = openpyxl.load_workbook(fp, data_only=True)
|
||||
ws = wb['业务考核视图']
|
||||
h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
recs = []
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
if row[0]: recs.append(dict(zip(h, row)))
|
||||
wb.close()
|
||||
return recs, h
|
||||
|
||||
src_recs, src_h = load_recs(SRC)
|
||||
bak_recs, bak_h = load_recs(BAK)
|
||||
|
||||
print(f"Source: {len(src_recs)} rows, cols={len(src_h)}")
|
||||
print(f"Backup: {len(bak_recs)} rows, cols={len(bak_h)}")
|
||||
|
||||
# Identify intervention records by plate (yellow list)
|
||||
intv_recs = []
|
||||
for sr in src_recs:
|
||||
plate = str(sr['车牌号']).strip()
|
||||
if plate not in YELLOW_PLATES:
|
||||
continue
|
||||
|
||||
gps = float(sr.get('实际行驶里程(km)', 0) or 0)
|
||||
tbox = float(sr.get('原TBOX里程(km)', 0) or 0)
|
||||
test = float(sr.get('测试里程(km)', 0) or 0)
|
||||
tgt = float(sr.get('应考核里程(km)', 0) or 0)
|
||||
|
||||
# Find backup counterpart
|
||||
key = (plate, str(sr.get('销售经理','')), str(sr.get('项目名称','')))
|
||||
br = None
|
||||
for b in bak_recs:
|
||||
bk = (str(b['车牌号']).strip(), str(b.get('销售经理','')), str(b.get('项目名称','')))
|
||||
if bk == key: br = b; break
|
||||
old_actual = float(br['实际行驶里程(km)'] or 0) if br else 0
|
||||
old_pass = str(br['是否达标']).strip() if br else '?'
|
||||
new_pass = str(sr.get('是否达标','')).strip()
|
||||
flip = ''
|
||||
if old_pass == '达标' and new_pass == '未达标': flip = '达→未达标'
|
||||
elif old_pass == '未达标' and new_pass == '达标': flip = '未→达标'
|
||||
intv_recs.append(dict(plate=plate, dept=sr.get('部门名称',''), sales=sr.get('销售经理',''),
|
||||
client=sr.get('客户名称',''), target_name=sr.get('考核目标',''),
|
||||
tgt_km=tgt, tbox=tbox, gps=gps, test=test, flip=flip,
|
||||
days=sr.get('考核天数'), rate=sr.get('完成率(%)'),
|
||||
new_pass=new_pass, old_pass=old_pass))
|
||||
|
||||
print(f"Intervention records: {len(intv_recs)}")
|
||||
flip_down = [r for r in intv_recs if r['flip'] == '达→未达标']
|
||||
flip_up = [r for r in intv_recs if r['flip'] == '未→达标']
|
||||
print(f"达→未达标: {len(flip_down)}, 未→达标: {len(flip_up)}")
|
||||
|
||||
# ─── Reference column layout (O=GPS, P=TBOX, Q=Test) ───
|
||||
# Build full records with columns in reference order
|
||||
REF_HEADERS = [
|
||||
'车牌号', '考核年份', '考核月份', '部门名称', '销售经理', '客户名称',
|
||||
'合同编号', '项目名称', '考核目标ID', '考核目标', '考核开始日期',
|
||||
'考核结束日期', '考核天数', '应考核里程(km)',
|
||||
'实际行驶里程(km)', # O = GPS (考核口径)
|
||||
'原TBOX里程(km)', # P = TBOX (仪表盘)
|
||||
'测试里程(km)', # Q = test
|
||||
'完成率(%)', '是否达标', '考核状态',
|
||||
'交车日期', '预计还车日期', '实际还车日期',
|
||||
]
|
||||
|
||||
def reorder_rec(src_rec):
|
||||
"""Map source record to reference column order. O=GPS, P=TBOX, Q=Test.
|
||||
For non-intv: O=仪表盘, P=空, Q=0. For intv: O=GPS, P=仪表盘, Q=GPS-仪表盘."""
|
||||
out = {}
|
||||
plate = str(src_rec.get('车牌号','')).strip()
|
||||
is_intv = plate in YELLOW_PLATES
|
||||
for h in REF_HEADERS:
|
||||
if h == '实际行驶里程(km)':
|
||||
# O column: always use source's actual (which is仪表盘 for non-intv, GPS for intv)
|
||||
out[h] = src_rec.get('实际行驶里程(km)')
|
||||
elif h == '原TBOX里程(km)':
|
||||
# P column: only fill if intv, else empty
|
||||
out[h] = src_rec.get('原TBOX里程(km)') if is_intv else None
|
||||
elif h == '测试里程(km)':
|
||||
out[h] = src_rec.get('测试里程(km)') if is_intv else 0
|
||||
else:
|
||||
out[h] = src_rec.get(h)
|
||||
return out
|
||||
|
||||
all_ref = [reorder_rec(r) for r in src_recs]
|
||||
intv_ref = [reorder_rec(r) for r in src_recs if str(r['车牌号']).strip() in YELLOW_PLATES]
|
||||
|
||||
# ─── Build workbook ───
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
def hdr_row(ws, row, ncols):
|
||||
for c in range(1, ncols+1):
|
||||
cell = ws.cell(row=row, column=c)
|
||||
cell.fill = HD_BLUE; cell.font = HDR_F; cell.alignment = CC; cell.border = BORD
|
||||
|
||||
def dat_row(ws, row, ncols, alt=False):
|
||||
for c in range(1, ncols+1):
|
||||
cell = ws.cell(row=row, column=c)
|
||||
cell.font = BODY_F; cell.alignment = CC; cell.border = BORD
|
||||
if alt: cell.fill = ALT_GRAY
|
||||
|
||||
# ═══════════════════════════════
|
||||
# Sheets 2,3,4 first (so Sheet1 formulas can reference them)
|
||||
# ═══════════════════════════════
|
||||
|
||||
def write_data_sheet(wb, name, records, highlight_intv=False):
|
||||
ws = wb.create_sheet(name)
|
||||
for ci, h in enumerate(REF_HEADERS, 1):
|
||||
ws.cell(row=1, column=ci, value=h)
|
||||
hdr_row(ws, 1, len(REF_HEADERS))
|
||||
for ri, rec in enumerate(records):
|
||||
r = ri + 2
|
||||
is_intv = str(rec.get('车牌号','')).strip() in YELLOW_PLATES
|
||||
for ci, h in enumerate(REF_HEADERS, 1):
|
||||
val = rec.get(h)
|
||||
if val is not None:
|
||||
ws.cell(row=r, column=ci, value=val)
|
||||
ws.cell(row=r, column=ci).border = BORD
|
||||
ws.cell(row=r, column=ci).font = Font(size=10)
|
||||
ws.cell(row=r, column=ci).alignment = CC
|
||||
if highlight_intv and is_intv:
|
||||
for ci in range(1, len(REF_HEADERS)+1):
|
||||
ws.cell(row=r, column=ci).fill = YELLOW_HL
|
||||
for ci in range(1, len(REF_HEADERS)+1):
|
||||
ws.column_dimensions[get_column_letter(ci)].width = 12
|
||||
return ws
|
||||
|
||||
# Sheet 2: 业务考核视图 (all records, intv highlighted yellow)
|
||||
ws2 = write_data_sheet(wb, '业务考核视图', all_ref, highlight_intv=True)
|
||||
|
||||
# Sheet 3: 5月业务考核车辆总览 (all records, no highlight)
|
||||
ws3 = write_data_sheet(wb, '5月业务考核车辆总览', all_ref, highlight_intv=False)
|
||||
|
||||
# Sheet 4: 涉及测试的业务考核车辆 (intv only)
|
||||
ws4 = write_data_sheet(wb, '涉及测试的业务考核车辆', intv_ref, highlight_intv=False)
|
||||
|
||||
# ═══════════════════════════════
|
||||
# Sheet 1: 测试与考核情况说明 (with formulas)
|
||||
# ═══════════════════════════════
|
||||
ws1 = wb.active
|
||||
ws1.title = '测试与考核情况说明'
|
||||
|
||||
MAX_R = 500 # generous row range for formulas
|
||||
|
||||
# R1: Title
|
||||
ws1.merge_cells('A1:G1')
|
||||
c = ws1.cell(row=1, column=1, value='2026年5月 业务考核 — 测试与考核情况说明')
|
||||
c.fill = DARK_BLUE; c.font = TITLE_F; c.alignment = CC
|
||||
ws1.row_dimensions[1].height = 32
|
||||
|
||||
# R2-R3: Description
|
||||
ws1.merge_cells('A2:G3')
|
||||
desc = ('5月业务考核车辆中，部分车辆当月存在测试行为（仪表盘里程 > GPS 实际行驶里程），其差额作为测试里程剥离，不参与考核。\n'
|
||||
'对于有测试行为的车辆，使用GPS里程作为实际业务考核里程并参与绩效计算。\n'
|
||||
'对于无5月GPS数据的干预车辆，实际行驶里程记为0，判定未达标。\n'
|
||||
'下表数据由公式实时计算，源sheet数据更新后自动刷新。')
|
||||
c = ws1.cell(row=2, column=1, value=desc)
|
||||
c.fill = YELLOW_BG; c.font = DESC_F; c.alignment = LT
|
||||
ws1.row_dimensions[2].height = 72
|
||||
|
||||
# R4: empty spacer
|
||||
# R5: Section 一
|
||||
ws1.merge_cells('A5:G5')
|
||||
c = ws1.cell(row=5, column=1, value='一、5月业务考核与干预情况')
|
||||
c.fill = LIGHT_BLUE; c.font = SEC_F; c.alignment = LL
|
||||
ws1.row_dimensions[5].height = 24
|
||||
|
||||
# R6: Table header
|
||||
for ci, h in enumerate(['项目', '5月业务考核车辆', '涉及测试的车辆', '占比', '', '', ''], 1):
|
||||
ws1.cell(row=6, column=ci, value=h)
|
||||
hdr_row(ws1, 6, 4)
|
||||
ws1.row_dimensions[6].height = 24
|
||||
|
||||
# R7-R11: Formula rows
|
||||
# Sheet references for formulas (openpyxl writes them as-is)
|
||||
S3 = "'5月业务考核车辆总览'"
|
||||
S4 = "'涉及测试的业务考核车辆'"
|
||||
|
||||
formula_rows = [
|
||||
# (row, label, B_formula, C_formula, B_fmt, C_fmt, D_fmt)
|
||||
(7, '车辆数(辆)',
|
||||
f'=SUMPRODUCT(({S3}!A2:A{MAX_R}<>"")/(COUNTIF({S3}!A2:A{MAX_R},{S3}!A2:A{MAX_R})+({S3}!A2:A{MAX_R}="")))',
|
||||
f'=SUMPRODUCT(({S4}!A2:A{MAX_R}<>"")/(COUNTIF({S4}!A2:A{MAX_R},{S4}!A2:A{MAX_R})+({S4}!A2:A{MAX_R}="")))',
|
||||
'#,##0', '#,##0', '0.00%'),
|
||||
(8, '产生考核记录数(条)',
|
||||
f'=COUNTA({S3}!A2:A{MAX_R})',
|
||||
f'=COUNTA({S4}!A2:A{MAX_R})',
|
||||
'#,##0', '#,##0', '0.00%'),
|
||||
(9, '仪表盘里程(km)',
|
||||
f'=SUM({S3}!O2:O{MAX_R})+SUM({S4}!Q2:Q{MAX_R})',
|
||||
f'=SUM({S4}!O2:O{MAX_R})+SUM({S4}!Q2:Q{MAX_R})',
|
||||
'#,##0.0', '#,##0.0', '0.00%'),
|
||||
(10, '业务考核里程 GPS(km)',
|
||||
f'=SUM({S3}!O2:O{MAX_R})',
|
||||
f'=SUM({S4}!O2:O{MAX_R})',
|
||||
'#,##0.0', '#,##0.0', '0.00%'),
|
||||
(11, '测试里程(km)',
|
||||
f'=SUM({S4}!Q2:Q{MAX_R})',
|
||||
f'=SUM({S4}!Q2:Q{MAX_R})',
|
||||
'#,##0.0', '#,##0.0', '0.00%'),
|
||||
]
|
||||
|
||||
for ri, (row_num, label, b_f, c_f, b_fmt, c_fmt, d_fmt) in enumerate(formula_rows):
|
||||
r = row_num
|
||||
ws1.cell(row=r, column=1, value=label).font = BOLD_F
|
||||
ws1.cell(row=r, column=1).alignment = LL
|
||||
ws1.cell(row=r, column=1).border = BORD
|
||||
|
||||
ws1.cell(row=r, column=2, value=b_f).number_format = b_fmt
|
||||
ws1.cell(row=r, column=2).font = BODY_F
|
||||
ws1.cell(row=r, column=2).alignment = CC
|
||||
ws1.cell(row=r, column=2).border = BORD
|
||||
|
||||
ws1.cell(row=r, column=3, value=c_f).number_format = c_fmt
|
||||
ws1.cell(row=r, column=3).font = BODY_F
|
||||
ws1.cell(row=r, column=3).alignment = CC
|
||||
ws1.cell(row=r, column=3).border = BORD
|
||||
|
||||
ws1.cell(row=r, column=4, value=f'=IFERROR(C{r}/B{r},0)').number_format = d_fmt
|
||||
ws1.cell(row=r, column=4).font = BODY_F
|
||||
ws1.cell(row=r, column=4).alignment = CC
|
||||
ws1.cell(row=r, column=4).border = BORD
|
||||
|
||||
if ri % 2 == 1:
|
||||
for c in range(1, 5):
|
||||
ws1.cell(row=r, column=c).fill = ALT_GRAY
|
||||
ws1.row_dimensions[r].height = 22
|
||||
|
||||
# R12: empty spacer
|
||||
# R13: Section 二
|
||||
ws1.merge_cells('A13:G13')
|
||||
c = ws1.cell(row=13, column=1, value='二、干预车辆考核达标情况说明')
|
||||
c.fill = LIGHT_BLUE; c.font = SEC_F; c.alignment = LL
|
||||
ws1.row_dimensions[13].height = 24
|
||||
|
||||
# R14: Summary description
|
||||
ws1.merge_cells('A14:G14')
|
||||
flip_desc = (f'共 {len(intv_recs)} 条考核记录涉及里程干预；替换为GPS里程后，'
|
||||
f'共 {len(flip_down)} 条考核车辆记录由"达标"转判为"未达标"。按车型分类如下：')
|
||||
c = ws1.cell(row=14, column=1, value=flip_desc)
|
||||
c.font = RED_F; c.alignment = LL
|
||||
ws1.row_dimensions[14].height = 28
|
||||
|
||||
# Group by vehicle type
|
||||
by_target = defaultdict(lambda: defaultdict(lambda: defaultdict(int)))
|
||||
flip_by_target = defaultdict(lambda: defaultdict(lambda: defaultdict(int)))
|
||||
for r in intv_recs:
|
||||
by_target[r['target_name']][r['dept']][r['sales']] += 1
|
||||
for r in flip_down:
|
||||
flip_by_target[r['target_name']][r['dept']][r['sales']] += 1
|
||||
|
||||
target_order = sorted(by_target.keys(), key=lambda t: -sum(sum(s.values()) for s in flip_by_target.get(t, {}).values()))
|
||||
|
||||
row = 15
|
||||
for tgt in target_order:
|
||||
dept_sales = flip_by_target.get(tgt, {})
|
||||
total_count = sum(sum(s.values()) for s in by_target[tgt].values())
|
||||
flip_count = sum(sum(s.values()) for s in dept_sales.values())
|
||||
|
||||
if flip_count == 0: continue # only show types with flips
|
||||
|
||||
# Vehicle type title
|
||||
if flip_count > 0:
|
||||
title = f'▎{tgt}（{flip_count} 辆）'
|
||||
else:
|
||||
title = f'▎{tgt}（{total_count} 辆）'
|
||||
ws1.merge_cells(start_row=row, start_column=1, end_row=row, end_column=7)
|
||||
c = ws1.cell(row=row, column=1, value=title)
|
||||
c.fill = LIGHT_BLUE; c.font = SUB_F; c.alignment = LL
|
||||
for ci in range(1, 8): ws1.cell(row=row, column=ci).border = BORD
|
||||
ws1.row_dimensions[row].height = 22
|
||||
row += 1
|
||||
|
||||
# Headers (two columns side-by-side: A-C and E-G)
|
||||
for base in [1, 5]:
|
||||
for ci, h in enumerate(['部门', '销售经理', '数量'], base):
|
||||
ws1.cell(row=row, column=ci, value=h)
|
||||
for ci in range(1, 8):
|
||||
ws1.cell(row=row, column=ci).fill = HD_BLUE
|
||||
ws1.cell(row=row, column=ci).font = HDR_F
|
||||
ws1.cell(row=row, column=ci).alignment = CC
|
||||
ws1.cell(row=row, column=ci).border = BORD
|
||||
ws1.row_dimensions[row].height = 22
|
||||
row += 1
|
||||
|
||||
# Flatten sales list sorted by department then count
|
||||
dept_order = sorted(dept_sales.keys(), key=lambda d: -sum(dept_sales[d].values()))
|
||||
sales_list = []
|
||||
for dept in dept_order:
|
||||
for sales in sorted(dept_sales[dept].keys()):
|
||||
sales_list.append((dept, sales, dept_sales[dept][sales]))
|
||||
|
||||
n = len(sales_list)
|
||||
left = sales_list[:(n+1)//2]
|
||||
right = sales_list[(n+1)//2:]
|
||||
|
||||
for ri2 in range(max(len(left), len(right))):
|
||||
if ri2 < len(left):
|
||||
d, s, cnt = left[ri2]
|
||||
ws1.cell(row=row, column=1, value=d)
|
||||
ws1.cell(row=row, column=2, value=s)
|
||||
ws1.cell(row=row, column=3, value=cnt)
|
||||
if ri2 < len(right):
|
||||
d, s, cnt = right[ri2]
|
||||
ws1.cell(row=row, column=5, value=d)
|
||||
ws1.cell(row=row, column=6, value=s)
|
||||
ws1.cell(row=row, column=7, value=cnt)
|
||||
for ci in range(1, 8):
|
||||
cell = ws1.cell(row=row, column=ci)
|
||||
cell.border = BORD; cell.font = BODY_F; cell.alignment = CC
|
||||
if ri2 % 2 == 1: cell.fill = ALT_GRAY
|
||||
ws1.row_dimensions[row].height = 22
|
||||
row += 1
|
||||
|
||||
row += 1 # blank between vehicle types
|
||||
|
||||
# Section 三
|
||||
ws1.merge_cells(start_row=row, start_column=1, end_row=row, end_column=7)
|
||||
c = ws1.cell(row=row, column=1, value='三、里程三列数据来源说明')
|
||||
c.fill = LIGHT_BLUE; c.font = SEC_F; c.alignment = LL
|
||||
ws1.row_dimensions[row].height = 24
|
||||
row += 1
|
||||
|
||||
for ci, h in enumerate(['列', '字段名', '数据来源', '说明', '', '', ''], 1):
|
||||
ws1.cell(row=row, column=ci, value=h)
|
||||
hdr_row(ws1, row, 4)
|
||||
ws1.row_dimensions[row].height = 24
|
||||
row += 1
|
||||
|
||||
ref_data = [
|
||||
('O', '实际行驶里程(km)', 'GPS 轨迹还原',
|
||||
'基于 G7 GPS 定位轨迹按考核期逐日汇总计算的运营里程（total_mileage/100000=km），本月里程考核口径。干预车辆已替换为GPS里程，非干预车辆沿用原仪表盘里程。'),
|
||||
('P', '原TBOX里程(km)', '车辆 T-Box / 仪表盘读数',
|
||||
'当月仪表总里程（业务系统原始数据），含运营+测试+调试里程。仅干预车辆填充，非干预车辆为空。'),
|
||||
('Q', '测试里程(km)', 'P − O（原TBOX − GPS，差额）',
|
||||
'仪表盘跑了但 GPS 未记录到的部分，判定为厂内测试/调试/路试等非运营里程，不计入考核。仅干预车辆填充，非干预车辆为0。'),
|
||||
]
|
||||
|
||||
for ri, (col_letter, name, source, note) in enumerate(ref_data):
|
||||
ws1.cell(row=row, column=1, value=col_letter).font = BOLD_F
|
||||
ws1.cell(row=row, column=1).alignment = CC
|
||||
ws1.cell(row=row, column=2, value=name)
|
||||
ws1.cell(row=row, column=3, value=source)
|
||||
ws1.cell(row=row, column=4, value=note).alignment = LL
|
||||
dat_row(ws1, row, 4, alt=(ri%2==1))
|
||||
ws1.cell(row=row, column=1).font = BOLD_F
|
||||
ws1.row_dimensions[row].height = 42
|
||||
row += 1
|
||||
|
||||
# Column widths
|
||||
for ci, w in enumerate([12, 22, 13, 12, 13, 22, 13], 1):
|
||||
ws1.column_dimensions[get_column_letter(ci)].width = w
|
||||
|
||||
# ─── Save ───
|
||||
out = 'new-kpi-202605_1/租赁任务考核_2026年5月_干预情况说明_Final.xlsx'
|
||||
wb.save(out)
|
||||
print(f'✅ {out} ({len(wb.sheetnames)} sheets)')
|
||||
@@ -0,0 +1,375 @@
|
||||
#!/usr/bin/env python3
|
||||
"""重新生成 离职人员5月奖金处理明细.xlsx — 当月转嫁，其他不发了"""
|
||||
import os, openpyxl, warnings
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
from collections import defaultdict
|
||||
from calc_engine import *
|
||||
|
||||
warnings.filterwarnings('ignore')
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
# ── Full calc ──
|
||||
print("读取源数据...")
|
||||
D = {}
|
||||
for m in [1,2,3,4,5]:
|
||||
D[m] = read_file(f'租赁任务考核_2026年{m}月.xlsx', m)
|
||||
G = {m: grp(D[m], m) for m in [1,2,3,4,5]}
|
||||
calc_jan_carryover(G[1])
|
||||
feb_data = calc_feb(G[1], G[2])
|
||||
mar_data = calc_mar(G[1], G[2], G[3], feb_data)
|
||||
apr_data = calc_apr(G[1], G[2], G[3], G[4], mar_data)
|
||||
may_data = calc_may(G[1], G[2], G[3], G[4], G[5], apr_data)
|
||||
|
||||
RESIGNATIONS = {
|
||||
'赵连飞': {'dept': '业务二部', 'transfer_to': '刘念念'},
|
||||
'伍仲文': {'dept': '业务六部', 'transfer_to': '钟祥'},
|
||||
'岑彦': {'dept': '业务六部', 'transfer_to': '钟祥'},
|
||||
}
|
||||
resigned = set(RESIGNATIONS.keys())
|
||||
|
||||
# ── Collect resigned payments ──
|
||||
detail_records = []
|
||||
for ptype, items in may_data.items():
|
||||
for it in items:
|
||||
if it['销售'] not in resigned:
|
||||
continue
|
||||
name = it['销售']
|
||||
is_dangyue = (ptype == '当月')
|
||||
transfer_to = RESIGNATIONS[name]['transfer_to']
|
||||
handling = f'转{transfer_to}(需确认)' if is_dangyue else '不发了'
|
||||
transfer_disp = transfer_to if is_dangyue else '—'
|
||||
note = '5月当月达标，转新销售' if is_dangyue else f'{ptype}，不发了'
|
||||
|
||||
# Get additional info from G5
|
||||
g5 = G[5].get((it['车牌'], name))
|
||||
client = ''
|
||||
for m in [1,2,3,4,5]:
|
||||
for r in D[m]:
|
||||
if str(r['车牌号']).strip() == it['车牌'] and r['销售经理'] == name:
|
||||
client = r.get('客户名称', '')
|
||||
break
|
||||
if client: break
|
||||
|
||||
monthly_bonus = g5['奖励额'] if g5 else 0
|
||||
days = g5['天数'] if g5 else ''
|
||||
target_name = ''
|
||||
if g5 and g5.get('recs'):
|
||||
target_name = g5['recs'][0].get('考核目标', '')
|
||||
|
||||
# 盈亏查询月
|
||||
if ptype == '当月' or ptype == '累计补发5月':
|
||||
loss_month = 5
|
||||
elif ptype == '结转':
|
||||
loss_month = 5
|
||||
elif ptype.startswith('补发'):
|
||||
loss_month = int(ptype.replace('补发','').replace('月',''))
|
||||
else:
|
||||
loss_month = 5
|
||||
|
||||
detail_records.append({
|
||||
'name': name, 'plate': it['车牌'], 'pay_type': ptype,
|
||||
'amount': it['额'], 'handling': handling, 'transfer': transfer_disp,
|
||||
'note': note, 'client': client, 'loss_month': loss_month,
|
||||
'loss_status': '否', 'monthly_bonus': monthly_bonus,
|
||||
'days': days, 'target': target_name,
|
||||
})
|
||||
|
||||
print(f"离职人员发放记录: {len(detail_records)} 条")
|
||||
|
||||
# ── Styles ──
|
||||
HEAD_FILL = PatternFill('solid', fgColor='4472C4')
|
||||
HEAD_FONT = Font(bold=True, color='FFFFFF', size=10)
|
||||
SUB_FILL = PatternFill('solid', fgColor='D9E1F2')
|
||||
ALT_FILL = PatternFill('solid', fgColor='F2F2F2')
|
||||
TITLE_FNT = Font(bold=True, size=14)
|
||||
NOTE_FNT = Font(size=10, color='C00000')
|
||||
NORM_FNT = Font(size=10)
|
||||
BOLD_FNT = Font(bold=True, size=10)
|
||||
THIN = Side('thin', color='B4B4B4')
|
||||
BORD = Border(THIN, THIN, THIN, THIN)
|
||||
CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
LL = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
|
||||
def hdr(ws, r, nc):
|
||||
for c in range(1, nc+1):
|
||||
cell = ws.cell(row=r, column=c)
|
||||
cell.fill = HEAD_FILL; cell.font = HEAD_FONT; cell.alignment = CC; cell.border = BORD
|
||||
|
||||
def drw(ws, r, nc, alt=False):
|
||||
for c in range(1, nc+1):
|
||||
cell = ws.cell(row=r, column=c)
|
||||
cell.font = NORM_FNT; cell.alignment = CC; cell.border = BORD
|
||||
if alt: cell.fill = ALT_FILL
|
||||
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
# ═══════════════════════════════════════
|
||||
# Sheet 1: 离职人员发放处理总览
|
||||
# ═══════════════════════════════════════
|
||||
ws1 = wb.active
|
||||
ws1.title = '离职人员发放处理总览'
|
||||
|
||||
ws1.merge_cells('A1:G1')
|
||||
ws1.cell(row=1, column=1, value='2026年5月核算 — 离职人员奖金处理方案').font = TITLE_FNT
|
||||
ws1.cell(row=1, column=1).alignment = CC
|
||||
ws1.row_dimensions[1].height = 30
|
||||
|
||||
ws1.merge_cells('A2:G2')
|
||||
ws1.cell(row=2, column=1,
|
||||
value='处理规则：仅5月当月达标奖金转给新接手的销售（需与其他部门确认是否发放）；其余结转、补发、累计补发等一律不发了。').font = NOTE_FNT
|
||||
ws1.cell(row=2, column=1).alignment = LL
|
||||
ws1.row_dimensions[2].height = 22
|
||||
|
||||
r = 4
|
||||
oh = ['离职人员', '部门', '业务转嫁至', '不发了', '转新销售(需确认)', '原考核应发合计']
|
||||
for c, h in enumerate(oh, 1):
|
||||
ws1.cell(row=r, column=c, value=h)
|
||||
hdr(ws1, r, 6)
|
||||
r += 1
|
||||
|
||||
total_not = 0; total_trf = 0
|
||||
for name in ['赵连飞', '伍仲文', '岑彦']:
|
||||
info = RESIGNATIONS[name]
|
||||
recs = [p for p in detail_records if p['name'] == name]
|
||||
not_pay = sum(p['amount'] for p in recs if p['pay_type'] != '当月')
|
||||
transfer = sum(p['amount'] for p in recs if p['pay_type'] == '当月')
|
||||
total_not += not_pay; total_trf += transfer
|
||||
ws1.cell(row=r, column=1, value=name)
|
||||
ws1.cell(row=r, column=2, value=info['dept'])
|
||||
ws1.cell(row=r, column=3, value=info['transfer_to'])
|
||||
ws1.cell(row=r, column=4, value=round(not_pay, 2))
|
||||
ws1.cell(row=r, column=5, value=round(transfer, 2))
|
||||
ws1.cell(row=r, column=6, value=round(not_pay+transfer, 2))
|
||||
drw(ws1, r, 6)
|
||||
ws1.row_dimensions[r].height = 22
|
||||
r += 1
|
||||
|
||||
# 合计
|
||||
for c in range(1, 7):
|
||||
ws1.cell(row=r, column=c).fill = SUB_FILL
|
||||
ws1.cell(row=r, column=c).border = BORD
|
||||
ws1.cell(row=r, column=c).font = BOLD_FNT
|
||||
ws1.cell(row=r, column=c).alignment = CC
|
||||
ws1.cell(row=r, column=1, value='合计')
|
||||
ws1.cell(row=r, column=4, value=round(total_not, 2))
|
||||
ws1.cell(row=r, column=5, value=round(total_trf, 2))
|
||||
ws1.cell(row=r, column=6, value=round(total_not+total_trf, 2))
|
||||
|
||||
r += 2
|
||||
ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=6)
|
||||
ws1.cell(row=r, column=1, value='转嫁接收方汇总（需与其他部门确认是否发放）').font = Font(bold=True, size=12, color='1F4E78')
|
||||
ws1.cell(row=r, column=1).alignment = CC
|
||||
r += 1
|
||||
|
||||
for c, hh in enumerate(['接收人', '来源离职人员', '转嫁金额', '备注'], 1):
|
||||
ws1.cell(row=r, column=c, value=hh)
|
||||
hdr(ws1, r, 4)
|
||||
r += 1
|
||||
|
||||
by_recv = defaultdict(lambda: {'sources':[], 'amt':0})
|
||||
for rec in detail_records:
|
||||
if rec['pay_type'] == '当月':
|
||||
t = rec['transfer']
|
||||
by_recv[t]['sources'].append(rec['name'])
|
||||
by_recv[t]['amt'] += rec['amount']
|
||||
|
||||
for receiver in ['刘念念', '钟祥']:
|
||||
d = by_recv[receiver]
|
||||
ws1.cell(row=r, column=1, value=receiver)
|
||||
ws1.cell(row=r, column=2, value='、'.join(sorted(set(d['sources']))))
|
||||
ws1.cell(row=r, column=3, value=round(d['amt'], 2))
|
||||
ws1.cell(row=r, column=4, value='需与相关部门确认是否发放给新销售')
|
||||
drw(ws1, r, 4)
|
||||
r += 1
|
||||
|
||||
for i, w in enumerate([14, 22, 18, 18, 18, 18], 1):
|
||||
ws1.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ═══════════════════════════════════════
|
||||
# Sheet 2: 发放明细(逐条)
|
||||
# ═══════════════════════════════════════
|
||||
ws2 = wb.create_sheet('发放明细(逐条)')
|
||||
ws2.merge_cells('A1:M1')
|
||||
ws2.cell(row=1, column=1, value='离职人员 — 5月考核应发逐条明细').font = TITLE_FNT
|
||||
ws2.cell(row=1, column=1).alignment = CC
|
||||
ws2.row_dimensions[1].height = 28
|
||||
|
||||
dh = ['离职人员', '车牌号', '发放类型', '考核应发', '盈亏查询月', '客户名称',
|
||||
'客户盈亏', '处理方式', '转嫁接收人', '5月考核天数', '月度奖励', '考核目标', '备注']
|
||||
r2 = 3
|
||||
for c, h in enumerate(dh, 1):
|
||||
ws2.cell(row=r2, column=c, value=h)
|
||||
hdr(ws2, r2, 13)
|
||||
r2 += 1
|
||||
|
||||
name_order = ['赵连飞', '伍仲文', '岑彦']
|
||||
detail_records.sort(key=lambda x: (name_order.index(x['name']), 0 if x['pay_type']=='当月' else 1, x['plate']))
|
||||
|
||||
for i, rec in enumerate(detail_records):
|
||||
ws2.cell(row=r2, column=1, value=rec['name'])
|
||||
ws2.cell(row=r2, column=2, value=rec['plate'])
|
||||
ws2.cell(row=r2, column=3, value=rec['pay_type'])
|
||||
ws2.cell(row=r2, column=4, value=round(rec['amount'], 2))
|
||||
ws2.cell(row=r2, column=5, value=f"{rec['loss_month']}月")
|
||||
ws2.cell(row=r2, column=6, value=rec['client'])
|
||||
ws2.cell(row=r2, column=7, value=rec['loss_status'])
|
||||
ws2.cell(row=r2, column=8, value=rec['handling'])
|
||||
ws2.cell(row=r2, column=9, value=rec['transfer'])
|
||||
ws2.cell(row=r2, column=10, value=rec['days'] if rec['days'] else '')
|
||||
ws2.cell(row=r2, column=11, value=rec['monthly_bonus'] if rec['monthly_bonus'] else '')
|
||||
ws2.cell(row=r2, column=12, value=rec['target'])
|
||||
ws2.cell(row=r2, column=13, value=rec['note'])
|
||||
drw(ws2, r2, 13, alt=(i%2==1))
|
||||
ws2.row_dimensions[r2].height = 22
|
||||
r2 += 1
|
||||
|
||||
# 合计行
|
||||
ws2.cell(row=r2, column=3, value='合计')
|
||||
ws2.cell(row=r2, column=4, value=round(sum(r['amount'] for r in detail_records), 2))
|
||||
for c in range(1, 14):
|
||||
ws2.cell(row=r2, column=c).fill = SUB_FILL
|
||||
ws2.cell(row=r2, column=c).border = BORD
|
||||
ws2.cell(row=r2, column=c).font = BOLD_FNT
|
||||
ws2.cell(row=r2, column=c).alignment = CC
|
||||
|
||||
for i, w in enumerate([10, 12, 14, 14, 10, 24, 8, 18, 14, 12, 10, 22, 28], 1):
|
||||
ws2.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ═══════════════════════════════════════
|
||||
# Sheets 3-5: 个人明细
|
||||
# ═══════════════════════════════════════
|
||||
for name, title_txt, transfer_to in [
|
||||
('赵连飞', '赵连飞（2026-04-30离职，业务转→刘念念）', '刘念念'),
|
||||
('伍仲文', '伍仲文（2026-05-09离职，业务转→钟祥）', '钟祥'),
|
||||
('岑彦', '岑彦（2026-05-09离职，业务转→钟祥）', '钟祥'),
|
||||
]:
|
||||
ws = wb.create_sheet(name)
|
||||
ws.merge_cells('A1:K1')
|
||||
ws.cell(row=1, column=1, value=title_txt).font = TITLE_FNT
|
||||
ws.cell(row=1, column=1).alignment = CC
|
||||
ws.row_dimensions[1].height = 28
|
||||
|
||||
ph = ['车牌号', '发放类型', '考核应发', '盈亏查询月', '客户名称', '客户盈亏',
|
||||
'处理方式', '5月考核天数', '月度奖励', '考核目标', '备注']
|
||||
r3 = 3
|
||||
for c, h in enumerate(ph, 1):
|
||||
ws.cell(row=r3, column=c, value=h)
|
||||
hdr(ws, r3, 11)
|
||||
r3 += 1
|
||||
|
||||
person_recs = [p for p in detail_records if p['name'] == name]
|
||||
dangyue_recs = [p for p in person_recs if p['pay_type'] == '当月']
|
||||
other_recs = [p for p in person_recs if p['pay_type'] != '当月']
|
||||
|
||||
for i, rec in enumerate(person_recs):
|
||||
h_disp = rec['handling']
|
||||
ws.cell(row=r3, column=1, value=rec['plate'])
|
||||
ws.cell(row=r3, column=2, value=rec['pay_type'])
|
||||
ws.cell(row=r3, column=3, value=round(rec['amount'], 2))
|
||||
ws.cell(row=r3, column=4, value=f"{rec['loss_month']}月")
|
||||
ws.cell(row=r3, column=5, value=rec['client'])
|
||||
ws.cell(row=r3, column=6, value=rec['loss_status'])
|
||||
ws.cell(row=r3, column=7, value=h_disp)
|
||||
ws.cell(row=r3, column=8, value=rec['days'] if rec['days'] else '')
|
||||
ws.cell(row=r3, column=9, value=rec['monthly_bonus'] if rec['monthly_bonus'] else '')
|
||||
ws.cell(row=r3, column=10, value=rec['target'])
|
||||
ws.cell(row=r3, column=11, value=rec['note'])
|
||||
drw(ws, r3, 11, alt=(i%2==1))
|
||||
ws.row_dimensions[r3].height = 22
|
||||
r3 += 1
|
||||
|
||||
dn = sum(p['amount'] for p in dangyue_recs)
|
||||
ot = sum(p['amount'] for p in other_recs)
|
||||
gt = dn + ot
|
||||
|
||||
# 不发了小计
|
||||
ws.cell(row=r3, column=2, value='不发了小计').font = BOLD_FNT
|
||||
ws.cell(row=r3, column=3, value=round(ot, 2)).font = BOLD_FNT
|
||||
for c in range(1, 12):
|
||||
ws.cell(row=r3, column=c).fill = SUB_FILL; ws.cell(row=r3, column=c).border = BORD
|
||||
ws.cell(row=r3, column=2).alignment = CC; ws.cell(row=r3, column=3).alignment = CC
|
||||
r3 += 1
|
||||
|
||||
# 转嫁小计
|
||||
ws.cell(row=r3, column=2, value=f'转{transfer_to}小计').font = BOLD_FNT
|
||||
ws.cell(row=r3, column=3, value=round(dn, 2)).font = BOLD_FNT
|
||||
ws.cell(row=r3, column=11, value='需与其他部门确认').font = Font(size=9, color='C00000')
|
||||
for c in range(1, 12):
|
||||
ws.cell(row=r3, column=c).fill = SUB_FILL; ws.cell(row=r3, column=c).border = BORD
|
||||
ws.cell(row=r3, column=2).alignment = CC; ws.cell(row=r3, column=3).alignment = CC
|
||||
r3 += 1
|
||||
|
||||
# 合计
|
||||
ws.cell(row=r3, column=2, value='合计').font = BOLD_FNT
|
||||
ws.cell(row=r3, column=3, value=round(gt, 2)).font = BOLD_FNT
|
||||
for c in range(1, 12):
|
||||
ws.cell(row=r3, column=c).fill = SUB_FILL; ws.cell(row=r3, column=c).border = BORD
|
||||
ws.cell(row=r3, column=2).alignment = CC; ws.cell(row=r3, column=3).alignment = CC
|
||||
|
||||
for i, w in enumerate([12, 14, 14, 10, 26, 8, 18, 12, 10, 22, 30], 1):
|
||||
ws.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ═══════════════════════════════════════
|
||||
# Sheets 6-7: 转嫁明细
|
||||
# ═══════════════════════════════════════
|
||||
for title_txt, sources, receiver in [
|
||||
('转嫁至刘念念的奖金 — 来源：赵连飞(2026-04-30离职)', ['赵连飞'], '刘念念'),
|
||||
('转嫁至钟祥的奖金 — 来源：伍仲文(2026-05-09离职)、岑彦(2026-05-09离职)', ['伍仲文', '岑彦'], '钟祥'),
|
||||
]:
|
||||
ws = wb.create_sheet(f'转{receiver}明细')
|
||||
ws.merge_cells('A1:K1')
|
||||
ws.cell(row=1, column=1, value=title_txt).font = TITLE_FNT
|
||||
ws.cell(row=1, column=1).alignment = CC
|
||||
ws.row_dimensions[1].height = 28
|
||||
|
||||
ws.merge_cells('A2:K2')
|
||||
ws.cell(row=2, column=1, value='⚠ 以下金额需与其他部门确认是否可发放给新销售').font = NOTE_FNT
|
||||
ws.cell(row=2, column=1).alignment = LL
|
||||
|
||||
th = ['来源离职人员', '车牌号', '发放类型', '考核应发', '盈亏查询月', '客户名称',
|
||||
'客户盈亏', '5月考核天数', '月度奖励', '考核目标', '备注']
|
||||
r4 = 4
|
||||
for c, h in enumerate(th, 1):
|
||||
ws.cell(row=r4, column=c, value=h)
|
||||
hdr(ws, r4, 11)
|
||||
r4 += 1
|
||||
|
||||
trf_recs = [p for p in detail_records if p['name'] in sources and p['pay_type'] == '当月']
|
||||
for i, rec in enumerate(trf_recs):
|
||||
ws.cell(row=r4, column=1, value=rec['name'])
|
||||
ws.cell(row=r4, column=2, value=rec['plate'])
|
||||
ws.cell(row=r4, column=3, value='当月')
|
||||
ws.cell(row=r4, column=4, value=round(rec['amount'], 2))
|
||||
ws.cell(row=r4, column=5, value=f"{rec['loss_month']}月")
|
||||
ws.cell(row=r4, column=6, value=rec['client'])
|
||||
ws.cell(row=r4, column=7, value=rec['loss_status'])
|
||||
ws.cell(row=r4, column=8, value=rec['days'] if rec['days'] else '')
|
||||
ws.cell(row=r4, column=9, value=rec['monthly_bonus'] if rec['monthly_bonus'] else '')
|
||||
ws.cell(row=r4, column=10, value=rec['target'])
|
||||
ws.cell(row=r4, column=11, value='需确认是否发给新销售')
|
||||
drw(ws, r4, 11, alt=(i%2==1))
|
||||
ws.row_dimensions[r4].height = 22
|
||||
r4 += 1
|
||||
|
||||
ws.cell(row=r4, column=3, value='合计')
|
||||
ws.cell(row=r4, column=4, value=round(sum(r['amount'] for r in trf_recs), 2))
|
||||
for c in range(1, 12):
|
||||
ws.cell(row=r4, column=c).fill = SUB_FILL; ws.cell(row=r4, column=c).border = BORD
|
||||
ws.cell(row=r4, column=c).font = BOLD_FNT; ws.cell(row=r4, column=c).alignment = CC
|
||||
|
||||
for i, w in enumerate([14, 12, 14, 14, 10, 26, 8, 12, 10, 22, 22], 1):
|
||||
ws.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ── Save ──
|
||||
out = 'new-kpi-202605_1/离职人员5月奖金处理明细.xlsx'
|
||||
wb.save(out)
|
||||
|
||||
print(f'\n✅ {out} ({len(wb.sheetnames)} sheets)')
|
||||
print(f'\n汇总:')
|
||||
for name in ['赵连飞', '伍仲文', '岑彦']:
|
||||
recs = [p for p in detail_records if p['name'] == name]
|
||||
not_pay = sum(p['amount'] for p in recs if p['pay_type'] != '当月')
|
||||
trf = sum(p['amount'] for p in recs if p['pay_type'] == '当月')
|
||||
print(f' {name}: 不发了={not_pay:.2f} 转{RESIGNATIONS[name]["transfer_to"]}={trf:.2f} 合计={not_pay+trf:.2f}')
|
||||
print(f' 总计: 不发了={total_not:.2f} 转新销售={total_trf:.2f}')
|
||||
@@ -0,0 +1,275 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Process May intervention: replace mileage with GPS, add TBOX/test columns."""
|
||||
import os, shutil, openpyxl, pymysql, warnings
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
from datetime import datetime, date, timedelta
|
||||
from collections import defaultdict
|
||||
|
||||
warnings.filterwarnings('ignore')
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
SRC = '租赁任务考核_2026年5月.xlsx'
|
||||
BAK = '租赁任务考核_2026年5月_原版备份.xlsx'
|
||||
OUT = SRC # overwrite
|
||||
|
||||
# ── Step 1: Backup ──
|
||||
if not os.path.exists(BAK):
|
||||
shutil.copy2(SRC, BAK)
|
||||
print(f"✅ Backup: {BAK}")
|
||||
else:
|
||||
print(f"跳过备份（已存在）")
|
||||
|
||||
# ── Step 2: Load intervention plates ──
|
||||
wb_i = openpyxl.load_workbook('标黄为5月干预车辆.xlsx')
|
||||
ws_i = wb_i['Sheet1']
|
||||
yellow_plates = set()
|
||||
for row in ws_i.iter_rows(min_row=2, values_only=False):
|
||||
cell = row[0]
|
||||
fill = cell.fill
|
||||
is_yellow = (fill and fill.patternType == 'solid' and fill.start_color
|
||||
and fill.start_color.rgb and 'FFFF00' in str(fill.start_color.rgb))
|
||||
if is_yellow:
|
||||
p = str(cell.value).strip() if cell.value else ''
|
||||
if p:
|
||||
yellow_plates.add(p)
|
||||
wb_i.close()
|
||||
print(f"干预车辆: {len(yellow_plates)}")
|
||||
|
||||
# ── Step 3: Read source records ──
|
||||
wb_s = openpyxl.load_workbook(SRC, data_only=True)
|
||||
ws_s = wb_s['业务考核视图']
|
||||
src_h = [c.value for c in next(ws_s.iter_rows(min_row=1, max_row=1))]
|
||||
rows_raw = list(ws_s.iter_rows(min_row=2, values_only=True))
|
||||
wb_s.close()
|
||||
|
||||
records = []
|
||||
for row in rows_raw:
|
||||
if not row[0]:
|
||||
continue
|
||||
records.append(dict(zip(src_h, row)))
|
||||
print(f"源数据: {len(records)} 条")
|
||||
|
||||
# ── Step 4: GPS from DB ──
|
||||
print("查询数据库...")
|
||||
conn = pymysql.connect(host='101.133.130.65', user='root', password='ln123!@#',
|
||||
database='hydrogen_energy', charset='utf8mb4')
|
||||
cur = conn.cursor()
|
||||
cur.execute("SELECT plate_number, dates, total_mileage FROM ln_vehicle_g7_mileage WHERE dates >= '2026-05-01' AND dates <= '2026-06-08'")
|
||||
db_rows = cur.fetchall()
|
||||
conn.close()
|
||||
|
||||
# Group: plate -> {date: mileage}
|
||||
pmap = defaultdict(lambda: defaultdict(int))
|
||||
for p, d, m in db_rows:
|
||||
dd = d if isinstance(d, date) else (d.date() if isinstance(d, datetime) else date.fromisoformat(str(d)[:10]))
|
||||
pmap[p][dd] = m or 0
|
||||
|
||||
print(f"DB plates loaded: {len(pmap)}")
|
||||
|
||||
# Compute GPS km per plate per考核期
|
||||
def get_gps_km(plate, start_v, end_v):
|
||||
"""GPS里程(km) = sum of daily total_mileage / 100000"""
|
||||
if plate not in pmap:
|
||||
return 0.0
|
||||
|
||||
# Parse dates
|
||||
if isinstance(start_v, datetime):
|
||||
sd = start_v.date()
|
||||
elif isinstance(start_v, date):
|
||||
sd = start_v
|
||||
else:
|
||||
return 0.0
|
||||
|
||||
if isinstance(end_v, datetime):
|
||||
ed = end_v.date()
|
||||
elif isinstance(end_v, date):
|
||||
ed = end_v
|
||||
else:
|
||||
return 0.0
|
||||
|
||||
total = 0
|
||||
d = sd
|
||||
daily = pmap[plate]
|
||||
while d <= ed:
|
||||
total += daily.get(d, 0)
|
||||
d += timedelta(days=1)
|
||||
return total / 100000.0
|
||||
|
||||
# Build plate -> gps for intervention vehicles
|
||||
plate_gps = {}
|
||||
for rec in records:
|
||||
p = str(rec['车牌号']).strip()
|
||||
if p not in yellow_plates:
|
||||
continue
|
||||
if p in plate_gps:
|
||||
continue
|
||||
km = get_gps_km(p, rec.get('考核开始日期'), rec.get('考核结束日期'))
|
||||
plate_gps[p] = round(km, 2)
|
||||
|
||||
print(f"GPS数据获取: {len(plate_gps)}/{len(yellow_plates)}")
|
||||
gps_zero = sum(1 for v in plate_gps.values() if v == 0)
|
||||
print(f"GPS=0: {gps_zero} 辆")
|
||||
|
||||
# ── Step 5: Generate new workbook ──
|
||||
YELLOW = PatternFill('solid', fgColor='FFFF00')
|
||||
RED = PatternFill('solid', fgColor='FF0000')
|
||||
REDF = Font(color='FFFFFF', bold=True)
|
||||
HFILL = PatternFill('solid', fgColor='4472C4')
|
||||
HFONT = Font(bold=True, color='FFFFFF', size=10)
|
||||
BORD = Border(Side('thin','B4B4B4'), Side('thin','B4B4B4'), Side('thin','B4B4B4'), Side('thin','B4B4B4'))
|
||||
CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
NFONT = Font(size=10)
|
||||
|
||||
wb = openpyxl.Workbook()
|
||||
ws = wb.active
|
||||
ws.title = '业务考核视图'
|
||||
|
||||
# New header layout:
|
||||
# 车牌号(0) 考核年份(1) 考核月份(2) 部门名称(3) 销售经理(4) 客户名称(5) 合同编号(6) 项目名称(7)
|
||||
# 考核目标ID(8) 考核目标(9) 考核开始日期(10) 考核结束日期(11) 考核天数(12) 应考核里程(13)
|
||||
# 原TBOX里程(14) 实际行驶里程=GPS(15) 测试里程(16) 完成率(17) 是否达标(18) 考核状态(19) ...
|
||||
# Column map: src_col -> dst_col (0-indexed)
|
||||
# 0-13 stay same, 14(old actual) -> split into 14(TBOX) 15(new actual) 16(test), 15(old rate) -> 17, 16(old pass)->18, 17(status)->19, 18-20 -> 20-22
|
||||
|
||||
new_h = ['车牌号', '考核年份', '考核月份', '部门名称', '销售经理', '客户名称',
|
||||
'合同编号', '项目名称', '考核目标ID', '考核目标', '考核开始日期',
|
||||
'考核结束日期', '考核天数', '应考核里程(km)',
|
||||
'原TBOX里程(km)', '实际行驶里程(km)', '测试里程(km)',
|
||||
'完成率(%)', '是否达标', '考核状态',
|
||||
'交车日期', '预计还车日期', '实际还车日期']
|
||||
|
||||
for ci, h in enumerate(new_h):
|
||||
c = ci + 1
|
||||
cell = ws.cell(row=1, column=c, value=h)
|
||||
cell.fill = HFILL
|
||||
cell.font = HFONT
|
||||
cell.alignment = CC
|
||||
cell.border = BORD
|
||||
|
||||
# Write data
|
||||
for ri, rec in enumerate(records):
|
||||
r = ri + 2
|
||||
plate = str(rec['车牌号']).strip()
|
||||
is_intv = plate in yellow_plates
|
||||
|
||||
# Columns 0-13: copy directly (0-indexed in src_h)
|
||||
for si in range(14): # 车牌号 ~ 应考核里程(km)
|
||||
val = rec.get(src_h[si])
|
||||
if val is not None:
|
||||
ws.cell(row=r, column=si + 1, value=val)
|
||||
ws.cell(row=r, column=si + 1).border = BORD
|
||||
ws.cell(row=r, column=si + 1).alignment = CC
|
||||
ws.cell(row=r, column=si + 1).font = NFONT
|
||||
|
||||
# Column 14 (0-indexed): 原TBOX里程(km) - old actual mileage
|
||||
tbox = float(rec.get('实际行驶里程(km)', 0) or 0)
|
||||
ws.cell(row=r, column=15, value=tbox).border = BORD
|
||||
ws.cell(row=r, column=15).alignment = CC
|
||||
ws.cell(row=r, column=15).font = NFONT
|
||||
|
||||
# Column 15 (0-indexed:16): 实际行驶里程(km) - GPS for intv, TBOX for others
|
||||
target_km = float(rec.get('应考核里程(km)', 0) or 0)
|
||||
if is_intv:
|
||||
new_actual = plate_gps.get(plate, 0)
|
||||
else:
|
||||
new_actual = tbox
|
||||
|
||||
cell_actual = ws.cell(row=r, column=16, value=new_actual)
|
||||
cell_actual.border = BORD
|
||||
cell_actual.alignment = CC
|
||||
cell_actual.font = NFONT
|
||||
|
||||
# Column 16 (0-indexed:17): 测试里程(km) = TBOX - GPS
|
||||
test_km = round(tbox - new_actual, 2) if is_intv else 0
|
||||
ws.cell(row=r, column=17, value=test_km).border = BORD
|
||||
ws.cell(row=r, column=17).alignment = CC
|
||||
ws.cell(row=r, column=17).font = NFONT
|
||||
|
||||
# Column 17 (0-indexed:18): 完成率(%)
|
||||
rate = round(new_actual / target_km * 100, 2) if target_km > 0 else 0
|
||||
ws.cell(row=r, column=18, value=rate).border = BORD
|
||||
ws.cell(row=r, column=18).alignment = CC
|
||||
ws.cell(row=r, column=18).font = NFONT
|
||||
|
||||
# Column 18 (0-indexed:19): 是否达标
|
||||
new_pass = '达标' if new_actual >= target_km and target_km > 0 else '未达标'
|
||||
ws.cell(row=r, column=19, value=new_pass).border = BORD
|
||||
ws.cell(row=r, column=19).alignment = CC
|
||||
ws.cell(row=r, column=19).font = NFONT
|
||||
|
||||
# Column 19 (0-indexed:20): 考核状态
|
||||
val = rec.get('考核状态')
|
||||
ws.cell(row=r, column=20, value=val if val else '进行中').border = BORD
|
||||
ws.cell(row=r, column=20).alignment = CC
|
||||
ws.cell(row=r, column=20).font = NFONT
|
||||
|
||||
# Columns 20-22 (0-indexed): 交车日期, 预计还车日期, 实际还车日期
|
||||
for si in range(18, 21):
|
||||
val = rec.get(src_h[si])
|
||||
if val is not None:
|
||||
ws.cell(row=r, column=si + 1 + 5, value=val) # +5 offset for new cols
|
||||
else:
|
||||
ws.cell(row=r, column=si + 1 + 5, value='')
|
||||
ws.cell(row=r, column=si + 1 + 5).border = BORD
|
||||
ws.cell(row=r, column=si + 1 + 5).alignment = CC
|
||||
ws.cell(row=r, column=si + 1 + 5).font = NFONT
|
||||
|
||||
# ── Formatting: yellow for intervention, red for GPS=0 ──
|
||||
if is_intv:
|
||||
for c in range(1, len(new_h) + 1):
|
||||
cell = ws.cell(row=r, column=c)
|
||||
# Don't override red cells
|
||||
existing_fill = cell.fill
|
||||
is_red = (existing_fill.patternType == 'solid' and
|
||||
existing_fill.start_color and
|
||||
existing_fill.start_color.rgb and
|
||||
'FF0000' in str(existing_fill.start_color.rgb))
|
||||
if not is_red:
|
||||
cell.fill = YELLOW
|
||||
else:
|
||||
# Red stays, but also yellow background? No, red means GPS=0, keep it
|
||||
pass
|
||||
|
||||
# Red highlight for GPS=0
|
||||
if plate_gps.get(plate, 0) == 0:
|
||||
ws.cell(row=r, column=16).fill = RED # 实际行驶里程 column
|
||||
ws.cell(row=r, column=16).font = REDF
|
||||
|
||||
# Column widths
|
||||
widths = [12, 8, 8, 12, 10, 26, 18, 22, 10, 22, 13, 13, 10, 14, 16, 16, 14, 12, 10, 8, 12, 12, 12]
|
||||
for i, w in enumerate(widths):
|
||||
ws.column_dimensions[get_column_letter(i+1)].width = w
|
||||
|
||||
# ── Save ──
|
||||
wb.save(OUT)
|
||||
print(f"\n✅ 已保存: {OUT} ({len(records)} rows, {len(new_h)} cols)")
|
||||
|
||||
# ── Stats ──
|
||||
old_p = sum(1 for r in records if str(r.get('是否达标','')).strip() == '达标')
|
||||
new_p = 0
|
||||
flip_down = []
|
||||
flip_up = []
|
||||
for rec in records:
|
||||
p = str(rec['车牌号']).strip()
|
||||
tgt = float(rec.get('应考核里程(km)', 0) or 0)
|
||||
old_status = str(rec.get('是否达标','')).strip()
|
||||
if p in yellow_plates:
|
||||
actual = plate_gps.get(p, 0)
|
||||
else:
|
||||
actual = float(rec.get('实际行驶里程(km)', 0) or 0)
|
||||
n = '达标' if actual >= tgt and tgt > 0 else '未达标'
|
||||
if n == '达标':
|
||||
new_p += 1
|
||||
if old_status == '达标' and n == '未达标':
|
||||
flip_down.append((p, float(rec.get('实际行驶里程(km)',0) or 0), actual, tgt))
|
||||
elif old_status == '未达标' and n == '达标':
|
||||
flip_up.append((p, float(rec.get('实际行驶里程(km)',0) or 0), actual, tgt))
|
||||
|
||||
print(f"达标变化: {old_p} -> {new_p} ({new_p - old_p:+d})")
|
||||
print(f"达→未达标: {len(flip_down)} 辆")
|
||||
for p, tb, gp, tg in flip_down[:10]:
|
||||
print(f" {p} TBOX={tb:.1f} GPS={gp:.2f} 目标={tg:.0f}")
|
||||
print(f"未→达标: {len(flip_up)} 辆")
|
||||
for p, tb, gp, tg in flip_up[:10]:
|
||||
print(f" {p} TBOX={tb:.1f} GPS={gp:.2f} 目标={tg:.0f}")
|
||||
@@ -0,0 +1,70 @@
|
||||
from copy import copy
|
||||
from pathlib import Path
|
||||
import shutil
|
||||
|
||||
from openpyxl import load_workbook
|
||||
|
||||
|
||||
OUTPUT = Path('/Users/kkfluous/Downloads/7月核算结果/7月考核车辆多源里程汇总.xlsx')
|
||||
BACKUP = Path('/Users/kkfluous/Downloads/7月核算结果/7月考核车辆多源里程汇总_增加车型前.xlsx')
|
||||
SOURCE = Path('/Users/kkfluous/Downloads/7月核算结果/租赁任务考核_2026年7月.xlsx')
|
||||
|
||||
|
||||
def plate(value):
|
||||
return ''.join(str(value or '').upper().split())
|
||||
|
||||
|
||||
src_wb = load_workbook(SOURCE, read_only=True, data_only=True)
|
||||
src_ws = src_wb['业务考核视图']
|
||||
headers = [c.value for c in src_ws[1]]
|
||||
idx = {name: i for i, name in enumerate(headers)}
|
||||
types = {}
|
||||
for row in src_ws.iter_rows(min_row=2, values_only=True):
|
||||
if not row[idx['车牌号']]:
|
||||
continue
|
||||
start = row[idx['考核开始日期']]
|
||||
end = row[idx['考核结束日期']]
|
||||
key = (plate(row[idx['车牌号']]), start.date(), end.date(), str(row[idx['客户名称']] or '').strip())
|
||||
types[key] = row[idx['考核目标']] or '无来源'
|
||||
src_wb.close()
|
||||
|
||||
if not BACKUP.exists():
|
||||
shutil.copy2(OUTPUT, BACKUP)
|
||||
|
||||
wb = load_workbook(OUTPUT)
|
||||
ws = wb.active
|
||||
header_row = next(r for r in range(1, 8) if ws.cell(r, 2).value == '车牌')
|
||||
data_start = header_row + 1
|
||||
|
||||
for merged in list(ws.merged_cells.ranges):
|
||||
if str(merged) in ('A1:L1', 'A1:M1'):
|
||||
ws.unmerge_cells(str(merged))
|
||||
ws.insert_cols(4, 1)
|
||||
ws.cell(header_row, 4).value = '车型'
|
||||
ws.cell(header_row, 4)._style = copy(ws.cell(header_row, 3)._style)
|
||||
ws.cell(header_row, 4).font = copy(ws.cell(header_row, 3).font)
|
||||
ws.cell(header_row, 4).fill = copy(ws.cell(header_row, 3).fill)
|
||||
ws.cell(header_row, 4).border = copy(ws.cell(header_row, 3).border)
|
||||
ws.cell(header_row, 4).alignment = copy(ws.cell(header_row, 3).alignment)
|
||||
|
||||
missing = []
|
||||
for row in range(data_start, ws.max_row + 1):
|
||||
start = ws.cell(row, 5).value
|
||||
end = ws.cell(row, 6).value
|
||||
key = (plate(ws.cell(row, 2).value), start.date(), end.date(), str(ws.cell(row, 3).value or '').strip())
|
||||
ws.cell(row, 4).value = types.get(key, '无来源')
|
||||
ws.cell(row, 4)._style = copy(ws.cell(row, 3)._style)
|
||||
ws.cell(row, 4).font = copy(ws.cell(row, 3).font)
|
||||
ws.cell(row, 4).fill = copy(ws.cell(row, 3).fill)
|
||||
ws.cell(row, 4).border = copy(ws.cell(row, 3).border)
|
||||
ws.cell(row, 4).alignment = copy(ws.cell(row, 3).alignment)
|
||||
if key not in types:
|
||||
missing.append(key)
|
||||
|
||||
ws.merge_cells('A1:M1')
|
||||
ws.column_dimensions['D'].width = 24
|
||||
ws.auto_filter.ref = f'A{header_row}:M{ws.max_row}'
|
||||
ws.print_title_rows = f'1:{header_row}'
|
||||
wb.save(OUTPUT)
|
||||
|
||||
print({'records': ws.max_row - header_row, 'type_missing': len(missing), 'gps_column': ws.cell(header_row, 13).value})
|
||||
@@ -0,0 +1,90 @@
|
||||
from ast import parse, walk, Call, Constant, keyword
|
||||
from collections import defaultdict
|
||||
from datetime import datetime, date
|
||||
from pathlib import Path
|
||||
from zipfile import ZipFile
|
||||
from xml.etree import ElementTree as ET
|
||||
import re
|
||||
|
||||
import openpyxl
|
||||
import pymysql
|
||||
|
||||
BASE = Path('/Users/kkfluous/Downloads')
|
||||
ASSESSMENT = BASE / '7月核算结果/租赁任务考核_2026年7月.xlsx'
|
||||
TBOX = BASE / '车辆里程查询_20260701-20260731_1024辆.xlsx'
|
||||
DETAILS = [BASE / '里程统计[天][2026-07-01至2026-07-31].xlsx', BASE / '里程统计[天][2026-07-01至2026-07-31] (1).xlsx']
|
||||
NS = '{http://schemas.openxmlformats.org/spreadsheetml/2006/main}'
|
||||
|
||||
def norm(v): return re.sub(r'\s+', '', str(v or '')).upper()
|
||||
|
||||
def cfg():
|
||||
tree=parse((BASE/'replace_gps_jun.py').read_text())
|
||||
for node in walk(tree):
|
||||
if isinstance(node,Call) and getattr(node.func,'attr',None)=='connect':
|
||||
d={x.arg:x.value.value for x in node.keywords if isinstance(x.value,Constant)}
|
||||
if {'host','user','password','database'}<=d.keys(): return d
|
||||
raise RuntimeError('no db config')
|
||||
|
||||
def read_details():
|
||||
out=defaultdict(dict)
|
||||
for path in DETAILS:
|
||||
with ZipFile(path) as z:
|
||||
root=ET.fromstring(z.read('xl/worksheets/sheet1.xml'))
|
||||
for row in root.findall(f'.//{NS}row'):
|
||||
if int(row.get('r'))<4: continue
|
||||
d={}
|
||||
for c in row.findall(f'{NS}c'):
|
||||
col=re.match(r'[A-Z]+',c.get('r')).group()
|
||||
if c.get('t')=='inlineStr': d[col]=''.join(t.text or '' for t in c.findall(f'.//{NS}t'))
|
||||
else:
|
||||
v=c.find(f'{NS}v'); d[col]=v.text if v is not None else None
|
||||
p=norm(d.get('H')); ds=str(d.get('O') or '').strip()
|
||||
if p and p!='合计' and re.fullmatch(r'2026-07-\d{2}',ds):
|
||||
out[p][datetime.strptime(ds,'%Y-%m-%d').date()]=float(d.get('P') or 0)
|
||||
return out
|
||||
|
||||
awb=openpyxl.load_workbook(ASSESSMENT,data_only=True)
|
||||
aws=awb['业务考核视图']
|
||||
h=[c.value for c in aws[1]]; ix={v:i for i,v in enumerate(h)}
|
||||
candidates=set(); records=[]
|
||||
for ri,row in enumerate(aws.iter_rows(min_row=2,values_only=True),2):
|
||||
fills={aws.cell(ri,c).fill.fgColor.rgb for c in range(1,aws.max_column+1) if aws.cell(ri,c).fill.fill_type=='solid'}
|
||||
is_candidate=any(str(x).upper().endswith('FFFF00') for x in fills if x)
|
||||
p=norm(row[ix['车牌号']]); start=row[ix['考核开始日期']].date(); end=row[ix['考核结束日期']].date()
|
||||
records.append((p,start,end,is_candidate))
|
||||
if is_candidate:candidates.add(p)
|
||||
awb.close()
|
||||
|
||||
twb=openpyxl.load_workbook(TBOX,read_only=True,data_only=True); tws=twb['里程查询']
|
||||
daycols={i:v.date() for i,v in enumerate(next(tws.iter_rows(min_row=6,max_row=6,values_only=True))) if isinstance(v,datetime)}
|
||||
tbox=defaultdict(dict)
|
||||
for row in tws.iter_rows(min_row=7,values_only=True):
|
||||
p=norm(row[0])
|
||||
if p:
|
||||
for i,d in daycols.items():
|
||||
if row[i] is not None:tbox[p][d]=float(row[i])
|
||||
twb.close()
|
||||
|
||||
gps=read_details()
|
||||
dc=cfg();dc.update(charset='utf8mb4',connect_timeout=8,read_timeout=30,write_timeout=30)
|
||||
conn=pymysql.connect(**dc)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
ph=','.join(['%s']*len(candidates))
|
||||
cur.execute(f'SELECT plate_number,dates,total_mileage FROM ln_vehicle_g7_mileage WHERE dates >= %s AND dates <= %s AND plate_number IN ({ph})',[date(2026,7,1),date(2026,7,31),*sorted(candidates)])
|
||||
rows=cur.fetchall()
|
||||
finally:conn.close()
|
||||
for p,d,m in rows:
|
||||
if isinstance(d,datetime):d=d.date()
|
||||
gps[norm(p)].setdefault(d,float(m or 0)/100000)
|
||||
|
||||
candidate_days=0; comparable=0; flagged=0; plates_no_tbox=set(); plates_no_gps=set(); flagged_plates=set()
|
||||
for p,start,end,cand in records:
|
||||
if not cand:continue
|
||||
for n in range((end-start).days+1):
|
||||
d=start.fromordinal(start.toordinal()+n);candidate_days+=1
|
||||
if d not in tbox.get(p,{}):plates_no_tbox.add(p);continue
|
||||
if d not in gps.get(p,{}):plates_no_gps.add(p);continue
|
||||
comparable+=1
|
||||
if tbox[p][d]-gps[p][d]>50:flagged+=1;flagged_plates.add(p)
|
||||
print({'candidate_records':sum(x[3] for x in records),'candidate_plates':len(candidates),'candidate_days':candidate_days,'comparable_days':comparable,'flagged_days':flagged,'flagged_plates':len(flagged_plates),'plates_with_any_tbox_gap':len(plates_no_tbox),'plates_with_any_gps_gap':len(plates_no_gps),'no_tbox_sample':sorted(plates_no_tbox)[:20],'no_gps_sample':sorted(plates_no_gps)[:20]})
|
||||
@@ -0,0 +1,59 @@
|
||||
from ast import parse, walk, Call, Constant, keyword
|
||||
from datetime import date
|
||||
from pathlib import Path
|
||||
import re
|
||||
|
||||
import openpyxl
|
||||
import pymysql
|
||||
|
||||
|
||||
def connection_kwargs_from_existing_script():
|
||||
tree = parse(Path('/Users/kkfluous/Downloads/replace_gps_jun.py').read_text())
|
||||
for node in walk(tree):
|
||||
if not isinstance(node, Call):
|
||||
continue
|
||||
func = node.func
|
||||
if getattr(func, 'attr', None) != 'connect':
|
||||
continue
|
||||
values = {}
|
||||
for item in node.keywords:
|
||||
if isinstance(item, keyword) and isinstance(item.value, Constant):
|
||||
values[item.arg] = item.value.value
|
||||
if {'host', 'user', 'password', 'database'} <= values.keys():
|
||||
return values
|
||||
raise RuntimeError('未在既有脚本中找到数据库连接配置')
|
||||
|
||||
|
||||
src = openpyxl.load_workbook(
|
||||
'/Users/kkfluous/Downloads/7月核算结果/租赁任务考核_2026年7月.xlsx',
|
||||
read_only=True,
|
||||
data_only=True,
|
||||
)['业务考核视图']
|
||||
headers = [c.value for c in src[1]]
|
||||
plate_col = headers.index('车牌号')
|
||||
plates = sorted({re.sub(r'\s+', '', str(r[plate_col] or '')).upper() for r in src.iter_rows(min_row=2, values_only=True) if r[plate_col]})
|
||||
|
||||
cfg = connection_kwargs_from_existing_script()
|
||||
cfg.update(charset='utf8mb4', connect_timeout=8, read_timeout=30, write_timeout=30)
|
||||
conn = pymysql.connect(**cfg)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
placeholders = ','.join(['%s'] * len(plates))
|
||||
cur.execute(
|
||||
f'''SELECT plate_number, dates, total_mileage
|
||||
FROM ln_vehicle_g7_mileage
|
||||
WHERE dates >= %s AND dates <= %s
|
||||
AND plate_number IN ({placeholders})''',
|
||||
[date(2026, 7, 1), date(2026, 7, 31), *plates],
|
||||
)
|
||||
rows = cur.fetchall()
|
||||
finally:
|
||||
conn.close()
|
||||
|
||||
db_plates = {re.sub(r'\s+', '', str(r[0] or '')).upper() for r in rows}
|
||||
print({
|
||||
'assessment_plates': len(plates),
|
||||
'database_rows': len(rows),
|
||||
'database_plates': len(db_plates),
|
||||
'uncovered_plates': len(set(plates) - db_plates),
|
||||
})
|
||||
@@ -0,0 +1,49 @@
|
||||
import openpyxl
|
||||
import re
|
||||
from collections import Counter
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
|
||||
NEW = Path('/Users/kkfluous/Downloads/7月考核车辆多源里程汇总_用户确认版.xlsx')
|
||||
OLD = Path('/Users/kkfluous/Downloads/7月核算结果/租赁任务考核_2026年7月.xlsx')
|
||||
|
||||
def norm(v):
|
||||
return re.sub(r'\s+', '', str(v or '')).upper()
|
||||
|
||||
def day(v):
|
||||
return v.date() if isinstance(v, datetime) else v
|
||||
|
||||
nw = openpyxl.load_workbook(NEW, data_only=True, read_only=False)
|
||||
ns = nw['7月考核车辆里程汇总']
|
||||
nh = {ns.cell(2, c).value: c for c in range(1, ns.max_column + 1)}
|
||||
ow = openpyxl.load_workbook(OLD, data_only=True, read_only=False)
|
||||
os = ow['业务考核视图']
|
||||
oh = {os.cell(1, c).value: c for c in range(1, os.max_column + 1)}
|
||||
|
||||
N = [(norm(ns.cell(r, nh['车牌']).value), day(ns.cell(r, nh['考核开始日期']).value),
|
||||
day(ns.cell(r, nh['考核结束日期']).value), ns.cell(r, nh['核算里程(km)']).value)
|
||||
for r in range(3, ns.max_row + 1)]
|
||||
O = [(norm(os.cell(r, oh['车牌号']).value), day(os.cell(r, oh['考核开始日期']).value),
|
||||
day(os.cell(r, oh['考核结束日期']).value), os.cell(r, oh['实际行驶里程(km)']).value)
|
||||
for r in range(2, os.max_row + 1)]
|
||||
nk, ok = Counter(x[:3] for x in N), Counter(x[:3] for x in O)
|
||||
nd = {x[:3]: x[3] for x in N}
|
||||
changes = []
|
||||
for x in O:
|
||||
nv, ov = nd.get(x[:3]), x[3]
|
||||
if isinstance(nv, (int, float)) and abs(float(nv) - float(ov or 0)) > 0.005:
|
||||
changes.append((*x[:3], ov, nv, nv - float(ov or 0)))
|
||||
|
||||
print({
|
||||
'new_rows': len(N), 'old_rows': len(O),
|
||||
'new_dup_keys': sum(v > 1 for v in nk.values()), 'old_dup_keys': sum(v > 1 for v in ok.values()),
|
||||
'missing_in_new': len(set(ok) - set(nk)), 'extra_in_new': len(set(nk) - set(ok)),
|
||||
'changed_rows': len(changes),
|
||||
'old_total': round(sum(float(x[3] or 0) for x in O), 2),
|
||||
'new_total': round(sum(float(x[3] or 0) for x in N if isinstance(x[3], (int, float))), 2),
|
||||
})
|
||||
print('missing', list(set(ok) - set(nk))[:10])
|
||||
print('extra', list(set(nk) - set(ok))[:10])
|
||||
for x in sorted(changes, key=lambda x: abs(x[5]), reverse=True)[:15]:
|
||||
print(x)
|
||||
|
||||
@@ -0,0 +1,101 @@
|
||||
from ast import parse, walk, Call, Constant, keyword
|
||||
from collections import defaultdict
|
||||
from datetime import datetime, date
|
||||
from pathlib import Path
|
||||
import re
|
||||
import shutil
|
||||
|
||||
import openpyxl
|
||||
import pymysql
|
||||
|
||||
|
||||
OUTPUT = Path('/Users/kkfluous/Downloads/7月核算结果/7月考核车辆多源里程汇总.xlsx')
|
||||
BACKUP = Path('/Users/kkfluous/Downloads/7月核算结果/7月考核车辆多源里程汇总_GPS全量回补前.xlsx')
|
||||
|
||||
|
||||
def norm(value):
|
||||
return re.sub(r'\s+', '', str(value or '')).upper()
|
||||
|
||||
|
||||
def db_config():
|
||||
tree = parse(Path('/Users/kkfluous/Downloads/replace_gps_jun.py').read_text())
|
||||
for node in walk(tree):
|
||||
if not isinstance(node, Call) or getattr(node.func, 'attr', None) != 'connect':
|
||||
continue
|
||||
values = {}
|
||||
for item in node.keywords:
|
||||
if isinstance(item, keyword) and isinstance(item.value, Constant):
|
||||
values[item.arg] = item.value.value
|
||||
if {'host', 'user', 'password', 'database'} <= values.keys():
|
||||
return values
|
||||
raise RuntimeError('未找到既有GPS数据库配置')
|
||||
|
||||
|
||||
wb = openpyxl.load_workbook(OUTPUT)
|
||||
ws = wb.active
|
||||
header_row = next(r for r in range(1, 8) if ws.cell(r, 12).value == 'GPS里程(km)')
|
||||
data_start = header_row + 1
|
||||
plates = sorted({norm(ws.cell(r, 2).value) for r in range(data_start, ws.max_row + 1) if ws.cell(r, 2).value})
|
||||
|
||||
cfg = db_config()
|
||||
cfg.update(charset='utf8mb4', connect_timeout=8, read_timeout=30, write_timeout=30)
|
||||
conn = pymysql.connect(**cfg)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
placeholders = ','.join(['%s'] * len(plates))
|
||||
cur.execute(
|
||||
f'''SELECT plate_number, dates, total_mileage
|
||||
FROM ln_vehicle_g7_mileage
|
||||
WHERE dates >= %s AND dates <= %s
|
||||
AND plate_number IN ({placeholders})''',
|
||||
[date(2026, 7, 1), date(2026, 7, 31), *plates],
|
||||
)
|
||||
db_rows = cur.fetchall()
|
||||
finally:
|
||||
conn.close()
|
||||
|
||||
daily = defaultdict(dict)
|
||||
for plate, day, raw_mileage in db_rows:
|
||||
if isinstance(day, datetime):
|
||||
day = day.date()
|
||||
daily[norm(plate)][day] = float(raw_mileage or 0) / 100000.0
|
||||
|
||||
if not BACKUP.exists():
|
||||
shutil.copy2(OUTPUT, BACKUP)
|
||||
|
||||
filled = []
|
||||
still_missing = []
|
||||
for row in range(data_start, ws.max_row + 1):
|
||||
cell = ws.cell(row, 12)
|
||||
if cell.value != '无来源':
|
||||
continue
|
||||
plate = norm(ws.cell(row, 2).value)
|
||||
start = ws.cell(row, 4).value
|
||||
end = ws.cell(row, 5).value
|
||||
if isinstance(start, datetime):
|
||||
start = start.date()
|
||||
if isinstance(end, datetime):
|
||||
end = end.date()
|
||||
matched = [value for day, value in daily.get(plate, {}).items() if start <= day <= end]
|
||||
if matched:
|
||||
cell.value = round(sum(matched), 2)
|
||||
cell.number_format = '#,##0.0'
|
||||
filled.append((plate, start, end, cell.value))
|
||||
else:
|
||||
still_missing.append((plate, start, end))
|
||||
|
||||
ws['A1'] = (
|
||||
'1. 纯氢里程(km)、纯电里程(km)来源于广州平台统计，TBOX里程来源于车机上报的仪表盘里程统计，'
|
||||
'GPS里程优先使用两份7月GPS日明细，缺失车辆由GPS数据库每日里程按考核区间回补；测试车辆以7月最终考核源表已确认GPS为准\n'
|
||||
'2. 广州平台总里程(km)=纯氢里程(km)+纯电里程(km)\n'
|
||||
'3. 已确认广州平台暂未接入86辆普货车数据；所有GPS来源均无对应记录时标记为“无来源”'
|
||||
)
|
||||
wb.save(OUTPUT)
|
||||
|
||||
print({
|
||||
'database_rows': len(db_rows),
|
||||
'database_plates': len(daily),
|
||||
'backfilled_records': len(filled),
|
||||
'remaining_missing_records': len(still_missing),
|
||||
'remaining_missing_plates': len({x[0] for x in still_missing}),
|
||||
})
|
||||
@@ -0,0 +1,216 @@
|
||||
from collections import defaultdict
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from zipfile import ZipFile
|
||||
from xml.etree import ElementTree as ET
|
||||
import re
|
||||
|
||||
from openpyxl import Workbook, load_workbook
|
||||
from openpyxl.styles import Alignment, Border, Font, PatternFill, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
|
||||
|
||||
BASE = Path("/Users/kkfluous/Downloads")
|
||||
ASSESSMENT = BASE / "7月核算结果/租赁任务考核_2026年7月.xlsx"
|
||||
PLATFORM_DIR = BASE / "广州新能源平台_纯氢纯电里程_2026年7月_按日"
|
||||
GPS_FILES = [
|
||||
BASE / "里程统计[天][2026-07-01至2026-07-31].xlsx",
|
||||
BASE / "里程统计[天][2026-07-01至2026-07-31] (1).xlsx",
|
||||
]
|
||||
OUTPUT = BASE / "7月核算结果/7月考核车辆多源里程汇总.xlsx"
|
||||
NS = "{http://schemas.openxmlformats.org/spreadsheetml/2006/main}"
|
||||
|
||||
|
||||
def normalize_plate(value):
|
||||
return re.sub(r"\s+", "", str(value or "")).upper()
|
||||
|
||||
|
||||
def parse_gps_file(path):
|
||||
result = {}
|
||||
with ZipFile(path) as zf:
|
||||
root = ET.fromstring(zf.read("xl/worksheets/sheet1.xml"))
|
||||
for row in root.findall(f".//{NS}row"):
|
||||
if int(row.get("r")) < 4:
|
||||
continue
|
||||
values = {}
|
||||
for cell in row.findall(f"{NS}c"):
|
||||
col = re.match(r"[A-Z]+", cell.get("r")).group()
|
||||
if cell.get("t") == "inlineStr":
|
||||
values[col] = "".join(t.text or "" for t in cell.findall(f".//{NS}t"))
|
||||
else:
|
||||
node = cell.find(f"{NS}v")
|
||||
values[col] = node.text if node is not None else None
|
||||
plate = normalize_plate(values.get("H"))
|
||||
date_text = str(values.get("O") or "").strip()
|
||||
if not plate or plate == "合计" or not re.fullmatch(r"2026-07-\d{2}", date_text):
|
||||
continue
|
||||
result[(plate, datetime.strptime(date_text, "%Y-%m-%d").date())] = float(values.get("P") or 0)
|
||||
return result
|
||||
|
||||
|
||||
platform = defaultdict(lambda: [0.0, 0.0])
|
||||
platform_presence = set()
|
||||
for path in sorted(PLATFORM_DIR.glob("2026-07-??_纯氢纯电里程.xlsx")):
|
||||
wb = load_workbook(path, read_only=True, data_only=True)
|
||||
ws = wb.active
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
plate = normalize_plate(row[5])
|
||||
date_match = re.search(r"2026-07-\d{2}", str(row[6] or ""))
|
||||
if not plate or not date_match:
|
||||
continue
|
||||
date = datetime.strptime(date_match.group(), "%Y-%m-%d").date()
|
||||
electric = float(row[7] or 0)
|
||||
hydrogen = float(row[8] or 0)
|
||||
platform[(plate, date)][0] += hydrogen
|
||||
platform[(plate, date)][1] += electric
|
||||
platform_presence.add((plate, date))
|
||||
wb.close()
|
||||
|
||||
gps = {}
|
||||
for path in GPS_FILES:
|
||||
incoming = parse_gps_file(path)
|
||||
overlap = set(gps) & set(incoming)
|
||||
if overlap:
|
||||
raise RuntimeError(f"GPS来源存在重复车辆日期：{sorted(overlap)[:5]}")
|
||||
gps.update(incoming)
|
||||
|
||||
source_wb = load_workbook(ASSESSMENT, read_only=True, data_only=True)
|
||||
source_ws = source_wb["业务考核视图"]
|
||||
headers = [c.value for c in source_ws[1]]
|
||||
idx = {name: i for i, name in enumerate(headers)}
|
||||
|
||||
records = []
|
||||
for row in source_ws.iter_rows(min_row=2, values_only=True):
|
||||
plate = normalize_plate(row[idx["车牌号"]])
|
||||
if not plate:
|
||||
continue
|
||||
start = row[idx["考核开始日期"]].date()
|
||||
end = row[idx["考核结束日期"]].date()
|
||||
dates = [(start.fromordinal(start.toordinal() + i)) for i in range((end - start).days + 1)]
|
||||
|
||||
p_dates = [d for d in dates if (plate, d) in platform_presence]
|
||||
if p_dates:
|
||||
hydrogen = sum(platform[(plate, d)][0] for d in p_dates)
|
||||
electric = sum(platform[(plate, d)][1] for d in p_dates)
|
||||
else:
|
||||
hydrogen = electric = None
|
||||
|
||||
test_mileage = row[idx["测试里程(km)"]]
|
||||
is_test = isinstance(test_mileage, (int, float)) and test_mileage > 0
|
||||
g_dates = [d for d in dates if (plate, d) in gps]
|
||||
gps_total = sum(gps[(plate, d)] for d in g_dates) if g_dates else None
|
||||
# 7月最终考核源表的“实际行驶里程”已按原处理链路写入测试车辆GPS里程：
|
||||
# 优先智能管车日报，缺失时用两份GPS日明细补充。补充明细未命中时，
|
||||
# 必须从最终源表回填，不能误标为“无来源”。
|
||||
if gps_total is None and is_test:
|
||||
gps_total = row[idx["实际行驶里程(km)"]]
|
||||
records.append({
|
||||
"plate": plate,
|
||||
"customer": row[idx["客户名称"]] or "",
|
||||
"start": start,
|
||||
"end": end,
|
||||
"days": (end - start).days + 1,
|
||||
"test": "是" if is_test else "否",
|
||||
"hydrogen": hydrogen,
|
||||
"electric": electric,
|
||||
"tbox": row[idx["原TBOX里程(km)"]] if row[idx["原TBOX里程(km)"]] is not None else None,
|
||||
"gps": gps_total,
|
||||
})
|
||||
source_wb.close()
|
||||
|
||||
wb = Workbook()
|
||||
ws = wb.active
|
||||
ws.title = "7月考核车辆里程汇总"
|
||||
columns = [
|
||||
"序号", "车牌", "客户", "考核开始日期", "考核结束日期", "考核天数", "是否存在测试",
|
||||
"纯氢里程(km)", "纯电里程(km)", "广州平台总里程(km)", "TBOX里程(km)", "GPS里程(km)",
|
||||
]
|
||||
ws.append(columns)
|
||||
|
||||
for n, rec in enumerate(records, 1):
|
||||
row_num = ws.max_row + 1
|
||||
ws.append([
|
||||
n, rec["plate"], rec["customer"], rec["start"], rec["end"], rec["days"], rec["test"],
|
||||
rec["hydrogen"] if rec["hydrogen"] is not None else "无来源",
|
||||
rec["electric"] if rec["electric"] is not None else "无来源",
|
||||
round(rec["hydrogen"] + rec["electric"], 3) if rec["hydrogen"] is not None else "无来源",
|
||||
rec["tbox"] if rec["tbox"] is not None else "无来源",
|
||||
rec["gps"] if rec["gps"] is not None else "无来源",
|
||||
])
|
||||
|
||||
ws.insert_rows(1)
|
||||
ws.merge_cells("A1:L1")
|
||||
ws["A1"] = (
|
||||
"1. 纯氢里程(km)、纯电里程(km)来源于广州平台统计，TBOX里程来源于车机上报的仪表盘里程统计，"
|
||||
"GPS里程优先按两份7月GPS日明细汇总；测试车辆未命中时，回填7月最终考核源表中已确认的GPS实际里程\n"
|
||||
"2. 广州平台总里程(km)=纯氢里程(km)+纯电里程(km)\n"
|
||||
"3. 已确认广州平台暂未接入86辆普货车数据；无对应记录统一标记为“无来源”"
|
||||
)
|
||||
|
||||
header_fill = PatternFill("solid", fgColor="1F4E78")
|
||||
platform_fill = PatternFill("solid", fgColor="DDEBF7")
|
||||
tbox_fill = PatternFill("solid", fgColor="E2F0D9")
|
||||
gps_fill = PatternFill("solid", fgColor="E4DFEC")
|
||||
test_fill = PatternFill("solid", fgColor="FFF2CC")
|
||||
missing_fill = PatternFill("solid", fgColor="F2F2F2")
|
||||
thin = Side(style="thin", color="B7B7B7")
|
||||
|
||||
for cell in ws[2]:
|
||||
cell.fill = header_fill
|
||||
cell.font = Font(color="FFFFFF", bold=True)
|
||||
cell.alignment = Alignment(horizontal="center", vertical="center", wrap_text=True)
|
||||
cell.border = Border(bottom=Side(style="medium", color="FFFFFF"))
|
||||
|
||||
for row in ws.iter_rows(min_row=3, max_row=ws.max_row):
|
||||
is_test = row[6].value == "是"
|
||||
for cell in row:
|
||||
cell.border = Border(left=thin, right=thin, top=thin, bottom=thin)
|
||||
cell.alignment = Alignment(horizontal="center", vertical="center")
|
||||
row[2].alignment = Alignment(horizontal="left", vertical="center")
|
||||
if is_test:
|
||||
for cell in row:
|
||||
cell.fill = test_fill
|
||||
else:
|
||||
for cell in row[7:10]:
|
||||
cell.fill = platform_fill
|
||||
row[10].fill = tbox_fill
|
||||
row[11].fill = gps_fill
|
||||
for cell in row[7:12]:
|
||||
if cell.value == "无来源":
|
||||
cell.fill = missing_fill
|
||||
cell.font = Font(color="7F7F7F", italic=True)
|
||||
|
||||
for row in range(3, ws.max_row + 1):
|
||||
ws.cell(row, 4).number_format = "yyyy-mm-dd"
|
||||
ws.cell(row, 5).number_format = "yyyy-mm-dd"
|
||||
for col in range(8, 13):
|
||||
ws.cell(row, col).number_format = "#,##0.0"
|
||||
|
||||
widths = [8, 14, 34, 15, 15, 11, 14, 17, 17, 23, 17, 17]
|
||||
for col, width in enumerate(widths, 1):
|
||||
ws.column_dimensions[get_column_letter(col)].width = width
|
||||
ws["A1"].fill = PatternFill("solid", fgColor="FFF2CC")
|
||||
ws["A1"].font = Font(color="7F6000", italic=True)
|
||||
ws["A1"].alignment = Alignment(horizontal="left", vertical="center", wrap_text=True)
|
||||
ws.row_dimensions[1].height = 58
|
||||
ws.row_dimensions[2].height = 36
|
||||
ws.freeze_panes = "A3"
|
||||
ws.auto_filter.ref = f"A2:L{ws.max_row}"
|
||||
ws.sheet_view.showGridLines = False
|
||||
ws.sheet_properties.pageSetUpPr.fitToPage = True
|
||||
ws.page_setup.orientation = "landscape"
|
||||
ws.page_setup.fitToWidth = 1
|
||||
ws.page_setup.fitToHeight = 0
|
||||
ws.print_title_rows = "1:2"
|
||||
|
||||
OUTPUT.parent.mkdir(parents=True, exist_ok=True)
|
||||
wb.save(OUTPUT)
|
||||
|
||||
print({
|
||||
"output": str(OUTPUT),
|
||||
"records": len(records),
|
||||
"test_records": sum(r["test"] == "是" for r in records),
|
||||
"platform_missing": sum(r["hydrogen"] is None for r in records),
|
||||
"tbox_missing": sum(r["tbox"] is None for r in records),
|
||||
"gps_missing": sum(r["gps"] is None for r in records),
|
||||
})
|
||||
+153
-124
@@ -2,15 +2,22 @@
|
||||
import openpyxl
|
||||
from collections import defaultdict
|
||||
|
||||
# RULES: 18T用(1000/0/1000/1000), 非18T保持原逻辑(未达标不发, 结转补发=原奖励额)
|
||||
RULES = {
|
||||
'交投40辆4.5T普货': {'km': 3000, '奖': 150},
|
||||
'交投190辆4.5T冷链车': {'km': 3000, '奖': 150},
|
||||
'羚牛136辆4.5T冷链车': {'km': 5000, '奖': 260},
|
||||
'恒运50辆4.5T普货': {'km': 5000, '奖': 260},
|
||||
'恒运50辆4.5T 普货': {'km': 5000, '奖': 260},
|
||||
'羚牛100辆18T': {'km': 6000, '奖': 1000},
|
||||
'交投40辆4.5T普货': {'km': 3000, 'good': 150, 'bad': 0, 'carry': 150, 'other': 150},
|
||||
'交投190辆4.5T冷链车': {'km': 3000, 'good': 150, 'bad': 0, 'carry': 150, 'other': 150},
|
||||
'羚牛136辆4.5T冷链车': {'km': 5000, 'good': 260, 'bad': 0, 'carry': 260, 'other': 260},
|
||||
'恒运50辆4.5T普货': {'km': 5000, 'good': 260, 'bad': 0, 'carry': 260, 'other': 260},
|
||||
'恒运50辆4.5T 普货': {'km': 5000, 'good': 260, 'bad': 0, 'carry': 260, 'other': 260},
|
||||
'羚牛100辆18T': {'km': 6000, 'good': 1000, 'bad': 0, 'carry': 1000, 'other': 1000},
|
||||
}
|
||||
DAYS = {1: 31, 2: 28, 3: 31}
|
||||
|
||||
# 2026年7月经业务确认的4辆18T执行下半年新政策：
|
||||
# 月目标5000公里，达标150元，未达标不发，结转/补发按150元基准。
|
||||
# 其余18T继续使用上面的原口径。
|
||||
JULY_SCHEME3_PLATES = {'粤AGR0772', '粤AGQ0178', '粤AGP6675', '粤AGP9757'}
|
||||
JULY_SCHEME3_RULE = {'km': 5000, 'good': 150, 'bad': 0, 'carry': 150, 'other': 150}
|
||||
DAYS = {1: 31, 2: 28, 3: 31, 4: 30, 5: 31, 6: 30, 7: 31, 8: 31, 9: 30, 10: 31, 11: 30, 12: 31}
|
||||
|
||||
def read_file(fp, month):
|
||||
wb = openpyxl.load_workbook(fp, data_only=True)
|
||||
@@ -23,13 +30,22 @@ def read_file(fp, month):
|
||||
r['应考核里程(km)'] = float(r.get('应考核里程(km)') or 0)
|
||||
r['实际行驶里程(km)'] = float(r.get('实际行驶里程(km)') or 0)
|
||||
r['月份'] = month
|
||||
rule = RULES.get(r.get('考核目标', ''), {})
|
||||
if month == 7 and str(r.get('车牌号') or '').strip().upper() in JULY_SCHEME3_PLATES:
|
||||
rule = JULY_SCHEME3_RULE
|
||||
else:
|
||||
rule = RULES.get(r.get('考核目标', ''), {'km': 0, 'good': 0, 'bad': 0, 'carry': 0, 'other': 0})
|
||||
r['月度目标里程'] = rule.get('km', 0)
|
||||
r['对应月奖励金额'] = rule.get('奖', 0)
|
||||
r['奖励基准_达标'] = rule.get('good', 0)
|
||||
r['奖励基准_未达标'] = rule.get('bad', 0)
|
||||
r['奖励基准_结转'] = rule.get('carry', 0)
|
||||
r['奖励基准_补发'] = rule.get('other', 0)
|
||||
t, a = r['应考核里程(km)'], r['实际行驶里程(km)']
|
||||
q = a >= t and t > 0
|
||||
r['是否达标'] = '达标' if q else '未达标'
|
||||
r['奖金'] = r['对应月奖励金额'] * (r['考核天数'] / DAYS[month]) if q else 0
|
||||
if q:
|
||||
r['奖金'] = r['奖励基准_达标'] * (r['考核天数'] / DAYS[month])
|
||||
else:
|
||||
r['奖金'] = r['奖励基准_未达标'] * (r['考核天数'] / DAYS[month])
|
||||
r['多跑'] = max(0, a - t) if q else 0
|
||||
r['可结转'] = int(r['多跑'] // r['月度目标里程']) if r['月度目标里程'] > 0 and q else 0
|
||||
recs.append(r)
|
||||
@@ -38,7 +54,8 @@ def read_file(fp, month):
|
||||
|
||||
def grp(recs, month):
|
||||
gs = defaultdict(lambda: {'recs':[], '应考核':0, '实际':0, '奖金':0, '天数':0,
|
||||
'有达标':False, '目标km':0, '奖励额':0})
|
||||
'有达标':False, '目标km':0, '奖励达标':0, '奖励未达标':0,
|
||||
'奖励结转':0, '奖励补发':0})
|
||||
for r in recs:
|
||||
k = (r['车牌号'], r['销售经理'])
|
||||
g = gs[k]
|
||||
@@ -49,7 +66,10 @@ def grp(recs, month):
|
||||
g['天数'] += r['考核天数']
|
||||
if r['是否达标'] == '达标': g['有达标'] = True
|
||||
g['目标km'] = max(g['目标km'], r['月度目标里程'])
|
||||
g['奖励额'] = max(g['奖励额'], r['对应月奖励金额'])
|
||||
g['奖励达标'] = max(g['奖励达标'], r['奖励基准_达标'])
|
||||
g['奖励未达标'] = max(g['奖励未达标'], r['奖励基准_未达标'])
|
||||
g['奖励结转'] = max(g['奖励结转'], r['奖励基准_结转'])
|
||||
g['奖励补发'] = max(g['奖励补发'], r['奖励基准_补发'])
|
||||
g['部门'] = r['部门名称']
|
||||
g['销售'] = r['销售经理']
|
||||
g['车牌'] = r['车牌号']
|
||||
@@ -61,136 +81,142 @@ def calc_jan_carryover(G1):
|
||||
for r in g['recs']:
|
||||
if r['是否达标'] == '达标': tc += r['可结转']
|
||||
g['可结转'] = tc
|
||||
g['累计已发结转'] = 0
|
||||
g['1月已发'] = g['有达标'] # 当月有达标 → 已发
|
||||
g['cum_t'] = g['应考核']
|
||||
g['cum_a'] = g['实际']
|
||||
g['cum_q'] = g['实际'] >= g['应考核'] and g['应考核'] > 0
|
||||
|
||||
def calc_feb(G1, G2):
|
||||
feb_data = {'结转':[], '补发1月':[], '当月':[], '累计补发2月':[]}
|
||||
for k, g2 in G2.items():
|
||||
g1 = G1.get(k)
|
||||
bf = g2['奖励额']
|
||||
j_t = g1['应考核'] if g1 else 0; j_a = g1['实际'] if g1 else 0
|
||||
j_q = g1['有达标'] if g1 else False; j_c = g1['可结转'] if g1 else 0
|
||||
cum_t = j_t + g2['应考核']; cum_a = j_a + g2['实际']
|
||||
def calc_month(month, G_all, all_data, G_prev, G_cur):
|
||||
"""通用月计算: 结转/补发/累计补发/当月"""
|
||||
prev_m = month - 1
|
||||
days_m = DAYS[month]
|
||||
data_m = {'结转': [], '当月': []}
|
||||
# 向后兼容的key: 当月达标/当月未达标 用于18T区分
|
||||
data_18t = {'当月达标': [], '当月未达标': []}
|
||||
use_18t = True # 统一使用拆分标签
|
||||
|
||||
for k, gm in G_cur.items():
|
||||
gp = G_prev.get(k)
|
||||
|
||||
# 累计
|
||||
cum_t = (gp['cum_t'] if gp else 0) + gm['应考核']
|
||||
cum_a = (gp['cum_a'] if gp else 0) + gm['实际']
|
||||
cum_q = cum_a >= cum_t and cum_t > 0
|
||||
|
||||
# 结转: carry × 1 (整月, 不折算)
|
||||
carry = 0
|
||||
if g1 and j_q and j_c >= 1:
|
||||
carry = bf
|
||||
feb_data['结转'].append({'车牌':k[0],'销售':g1['销售'],'部门':g2['部门'],'额':carry})
|
||||
bp1 = 0
|
||||
if g1 and not j_q and cum_q:
|
||||
bp1 = g1['奖励额'] * (g1['天数'] / 31)
|
||||
feb_data['补发1月'].append({'车牌':k[0],'销售':g1['销售'],'部门':g2['部门'],'额':bp1})
|
||||
bonus2 = 0
|
||||
if g2['有达标'] and carry == 0:
|
||||
bonus2 = g2['奖金']
|
||||
feb_data['当月'].append({'车牌':k[0],'销售':g2['销售'],'部门':g2['部门'],'额':bonus2})
|
||||
cbp2 = 0
|
||||
if not g2['有达标'] and carry == 0 and cum_q:
|
||||
cbp2 = g2['奖励额'] * (g2['天数'] / 28)
|
||||
feb_data['累计补发2月'].append({'车牌':k[0],'销售':g2['销售'],'部门':g2['部门'],'额':cbp2})
|
||||
p_carry = gp['可结转'] if gp else 0
|
||||
if gp and p_carry >= 1:
|
||||
carry = gm['奖励结转']
|
||||
data_m['结转'].append({'车牌': k[0], '销售': gp['销售'], '部门': gm['部门'], '额': carry})
|
||||
|
||||
g2['cum_t']=cum_t; g2['cum_a']=cum_a; g2['cum_q']=cum_q
|
||||
g2['结转']=carry; g2['补发1月']=bp1
|
||||
g2['补发1月对应']=g1['销售'] if g1 and bp1>0 else ''
|
||||
g2['当月奖金']=bonus2; g2['累计补发2月']=cbp2; g2['结转占位']=carry>0
|
||||
fc = sum(r['可结转'] for r in g2['recs'] if r['是否达标']=='达标')
|
||||
jr = max(0, j_c - (1 if carry>0 else 0))
|
||||
g2['可结转'] = fc + jr
|
||||
g2['2月已发'] = carry>0 or bonus2>0 or cbp2>0
|
||||
g2['1月已补发'] = bp1>0
|
||||
# 当月奖金
|
||||
is_18t = gm['奖励达标'] == 1000 # 18T特征
|
||||
bonus = 0
|
||||
if carry == 0 and gm['奖金'] > 0:
|
||||
bonus = gm['奖金']
|
||||
data_m['当月'].append({'车牌': k[0], '销售': gm['销售'], '部门': gm['部门'], '额': bonus})
|
||||
|
||||
# 补充：1月有结转但2月无考核记录的车 → 创建虚拟2月group并发放结转
|
||||
for k, g1 in G1.items():
|
||||
if k not in G2 and g1['可结转'] >= 1:
|
||||
bf = g1['奖励额']
|
||||
carry = bf
|
||||
feb_data['结转'].append({'车牌':k[0],'销售':g1['销售'],'部门':g1['部门'],'额':carry})
|
||||
# 创建虚拟2月group（考核里程=满月目标，实际=0）
|
||||
G2[k] = {
|
||||
'recs':[], '应考核':g1['目标km'], '实际':0, '奖金':0, '天数':DAYS[2],
|
||||
'有达标':False, '目标km':g1['目标km'], '奖励额':g1['奖励额'],
|
||||
'部门':g1['部门'], '销售':g1['销售'], '车牌':k[0],
|
||||
'cum_t':g1['应考核']+g1['目标km'], 'cum_a':g1['实际'],
|
||||
'cum_q': g1['实际'] >= g1['应考核']+g1['目标km'],
|
||||
'结转':carry, '补发1月':0, '补发1月对应':'',
|
||||
'当月奖金':0, '累计补发2月':0, '结转占位':True,
|
||||
'可结转': max(0, g1['可结转'] - 1),
|
||||
'2月已发':True, '1月已补发':False,
|
||||
'虚拟':True, # 标记为无考核记录
|
||||
}
|
||||
return feb_data
|
||||
# 补发历史月: other × 折算
|
||||
for back_m in range(1, month):
|
||||
label = f'补发{back_m}月'
|
||||
if label not in data_m:
|
||||
data_m[label] = []
|
||||
g_bm = G_all[back_m].get(k)
|
||||
if not g_bm:
|
||||
continue
|
||||
bm_paid = g_bm.get(f'{back_m}月已发', g_bm['有达标'])
|
||||
if bm_paid:
|
||||
continue
|
||||
bm_paid_later = False
|
||||
for later_m in range(back_m + 1, month):
|
||||
gl = G_all[later_m].get(k)
|
||||
if gl and gl.get(f'补发{back_m}月', 0) > 0:
|
||||
bm_paid_later = True
|
||||
break
|
||||
if bm_paid_later:
|
||||
continue
|
||||
if cum_q:
|
||||
bj = g_bm['奖励补发'] * (g_bm['天数'] / DAYS[back_m])
|
||||
data_m[label].append({'车牌': k[0], '销售': g_bm['销售'], '部门': gm['部门'], '额': bj})
|
||||
gm[f'补发{back_m}月'] = bj
|
||||
|
||||
def calc_mar(G1, G2, G3, feb_data):
|
||||
mar_data = {'结转':[], '补发1月':[], '补发2月':[], '当月':[], '累计补发3月':[]}
|
||||
for k, g3 in G3.items():
|
||||
g1 = G1.get(k); g2 = G2.get(k)
|
||||
bf = g3['奖励额']
|
||||
j_t=g1['应考核'] if g1 else 0; j_a=g1['实际'] if g1 else 0
|
||||
j_q=g1['有达标'] if g1 else False; j_paid=(g1['奖金']>0) if g1 else False
|
||||
f_t=g2['应考核'] if g2 else 0; f_a=g2['实际'] if g2 else 0
|
||||
f_paid=g2['2月已发'] if g2 else False; f_carry=g2['可结转'] if g2 else 0
|
||||
if g1 and j_q: j_paid=True
|
||||
if g2 and g2.get('1月已补发',False): j_paid=True
|
||||
cum_t=j_t+f_t+g3['应考核']; cum_a=j_a+f_a+g3['实际']
|
||||
cum_q=cum_a>=cum_t and cum_t>0
|
||||
# 累计补发当月: other × 折算
|
||||
label_cbp = f'累计补发{month}月'
|
||||
if label_cbp not in data_m:
|
||||
data_m[label_cbp] = []
|
||||
cbp = 0
|
||||
if not gm['有达标'] and carry == 0 and cum_q:
|
||||
cbp = gm['奖励补发'] * (gm['天数'] / days_m)
|
||||
data_m[label_cbp].append({'车牌': k[0], '销售': gm['销售'], '部门': gm['部门'], '额': cbp})
|
||||
|
||||
carry=0
|
||||
if g2 and f_carry>=1:
|
||||
carry=bf; mar_data['结转'].append({'车牌':k[0],'销售':g2['销售'],'部门':g3['部门'],'额':carry})
|
||||
bj=0
|
||||
if g1 and not j_paid and cum_q:
|
||||
bj=g1['奖励额']*(g1['天数']/31); mar_data['补发1月'].append({'车牌':k[0],'销售':g1['销售'],'部门':g3['部门'],'额':bj})
|
||||
bf2=0
|
||||
if g2 and not f_paid and cum_q:
|
||||
bf2=g2['奖励额']*(g2['天数']/28); mar_data['补发2月'].append({'车牌':k[0],'销售':g2['销售'],'部门':g3['部门'],'额':bf2})
|
||||
bonus3=0
|
||||
if g3['有达标'] and carry==0:
|
||||
bonus3=g3['奖金']; mar_data['当月'].append({'车牌':k[0],'销售':g3['销售'],'部门':g3['部门'],'额':bonus3})
|
||||
cbp3=0
|
||||
if not g3['有达标'] and carry==0 and cum_q:
|
||||
cbp3=g3['奖励额']*(g3['天数']/31); mar_data['累计补发3月'].append({'车牌':k[0],'销售':g3['销售'],'部门':g3['部门'],'额':cbp3})
|
||||
gm['cum_t'] = cum_t
|
||||
gm['cum_a'] = cum_a
|
||||
gm['cum_q'] = cum_q
|
||||
gm['结转'] = carry
|
||||
gm['当月奖金'] = bonus
|
||||
gm['累计补发当月'] = cbp
|
||||
gm[f'{month}月已发'] = carry > 0 or gm['奖金'] > 0 or cbp > 0
|
||||
|
||||
g3['cum_t']=cum_t; g3['cum_a']=cum_a; g3['cum_q']=cum_q
|
||||
g3['结转']=carry; g3['补发1月']=bj; g3['补发1月对应']=g1['销售'] if g1 and bj>0 else ''
|
||||
g3['补发2月']=bf2; g3['补发2月对应']=g2['销售'] if g2 and bf2>0 else ''
|
||||
g3['当月奖金']=bonus3; g3['累计补发3月']=cbp3; g3['结转占位']=carry>0
|
||||
# 更新可结转
|
||||
cum_over = max(0, cum_a - cum_t) if cum_q else 0
|
||||
earned = int(cum_over // gm['目标km']) if gm['目标km'] > 0 else 0
|
||||
prev_used = gp['累计已发结转'] if gp else 0
|
||||
cur_used = prev_used + (1 if carry > 0 else 0)
|
||||
gm['累计已发结转'] = cur_used
|
||||
gm['可结转'] = max(0, earned - cur_used)
|
||||
|
||||
# 补充：2月有结转但3月无考核记录的车
|
||||
for k, g2 in G2.items():
|
||||
if k not in G3 and g2.get('可结转', 0) >= 1:
|
||||
bf = g2['奖励额']
|
||||
carry = bf
|
||||
mar_data['结转'].append({'车牌':k[0],'销售':g2['销售'],'部门':g2['部门'],'额':carry})
|
||||
G3[k] = {
|
||||
'recs':[], '应考核':g2['目标km'], '实际':0, '奖金':0, '天数':DAYS[3],
|
||||
'有达标':False, '目标km':g2['目标km'], '奖励额':g2['奖励额'],
|
||||
'部门':g2['部门'], '销售':g2['销售'], '车牌':k[0],
|
||||
'cum_t':(G1.get(k,{}).get('应考核',0))+g2['应考核']+g2['目标km'],
|
||||
'cum_a':(G1.get(k,{}).get('实际',0))+g2['实际'],
|
||||
# 补充: 上月有结转但本月无考核记录的车
|
||||
for k, gp in G_prev.items():
|
||||
if k not in G_cur and gp.get('可结转', 0) >= 1:
|
||||
carry = gp['奖励结转']
|
||||
data_m['结转'].append({'车牌': k[0], '销售': gp['销售'], '部门': gp['部门'], '额': carry})
|
||||
G_cur[k] = {
|
||||
'recs': [], '应考核': gp['目标km'], '实际': 0, '奖金': 0, '天数': days_m,
|
||||
'有达标': False, '目标km': gp['目标km'],
|
||||
'奖励达标': gp['奖励达标'], '奖励未达标': gp['奖励未达标'],
|
||||
'奖励结转': gp['奖励结转'], '奖励补发': gp['奖励补发'],
|
||||
'部门': gp['部门'], '销售': gp['销售'], '车牌': k[0],
|
||||
'cum_t': gp.get('cum_t', 0) + gp['目标km'], 'cum_a': gp.get('cum_a', 0),
|
||||
'cum_q': False,
|
||||
'结转':carry, '补发1月':0, '补发1月对应':'',
|
||||
'补发2月':0, '补发2月对应':'',
|
||||
'当月奖金':0, '累计补发3月':0, '结转占位':True,
|
||||
'结转': carry, '当月奖金': 0,
|
||||
f'{month}月已发': True,
|
||||
'可结转': max(0, gp['可结转'] - 1),
|
||||
'累计已发结转': gp.get('累计已发结转', 0) + 1,
|
||||
'虚拟': True,
|
||||
}
|
||||
return mar_data
|
||||
|
||||
def collect_vehicle_payments(G, feb_data, mar_data):
|
||||
all_data[month] = data_m
|
||||
return data_m, G_cur
|
||||
|
||||
|
||||
def collect_vehicle_payments(G, all_data):
|
||||
"""收集所有月的付款记录"""
|
||||
payments = defaultdict(list)
|
||||
info = {}
|
||||
|
||||
# 1月
|
||||
for k, g in G[1].items():
|
||||
plate = k[0]
|
||||
if not info.get(plate):
|
||||
first = g['recs'][0]
|
||||
info[plate] = {'考核目标':first.get('考核目标',''),'月度奖励':g['奖励额'],'目标km':g['目标km']}
|
||||
info[plate] = {'考核目标': first.get('考核目标', ''), '月度奖励': g['奖励达标'], '目标km': g['目标km']}
|
||||
if g['奖金'] > 0:
|
||||
payments[plate].append({'结算月':1,'对应考核月':1,'业务员':g['销售'],'金额':g['奖金'],'类型':'当月达标','部门':g['部门']})
|
||||
payments[plate].append({'结算月': 1, '对应考核月': 1, '业务员': g['销售'],
|
||||
'金额': g['奖金'], '类型': '当月达标', '部门': g['部门']})
|
||||
|
||||
cat_map = {
|
||||
('结转',2):2, ('补发1月',2):1, ('当月',2):2, ('累计补发2月',2):2,
|
||||
('结转',3):3, ('补发1月',3):1, ('补发2月',3):2, ('当月',3):3, ('累计补发3月',3):3,
|
||||
}
|
||||
for month, mdata in [(2, feb_data), (3, mar_data)]:
|
||||
# 2月-7月
|
||||
cat_map = {}
|
||||
for month in range(2, 8):
|
||||
cat_map[('结转', month)] = month
|
||||
for bm in range(1, month):
|
||||
cat_map[(f'补发{bm}月', month)] = bm
|
||||
cat_map[('当月', month)] = month
|
||||
cat_map[(f'累计补发{month}月', month)] = month
|
||||
|
||||
for month in range(2, 8):
|
||||
mdata = all_data.get(month, {})
|
||||
for cat, dl in mdata.items():
|
||||
assess_month = cat_map.get((cat, month), month)
|
||||
for d in dl:
|
||||
@@ -200,14 +226,16 @@ def collect_vehicle_payments(G, feb_data, mar_data):
|
||||
for m in G:
|
||||
for k, g in G[m].items():
|
||||
if not info.get(k[0]):
|
||||
first = g['recs'][0]
|
||||
info[k[0]] = {'考核目标':first.get('考核目标',''),'月度奖励':g['奖励额'],'目标km':g['目标km']}
|
||||
first = g['recs'][0] if g['recs'] else None
|
||||
if first:
|
||||
info[k[0]] = {'考核目标': first.get('考核目标', ''), '月度奖励': g['奖励达标'], '目标km': g['目标km']}
|
||||
|
||||
for plate in payments:
|
||||
records = sorted(payments[plate], key=lambda x: (x['对应考核月'], x['结算月']))
|
||||
for i, r in enumerate(records): r['期数'] = i + 1
|
||||
return payments, info
|
||||
|
||||
|
||||
# (归属公司+车型) → 考核目标 映射，用于补全无考核记录的车辆
|
||||
VEHICLE_TARGET_MAP = {
|
||||
('广州开发区交投氢能运营管理有限公司', '4.5吨冷链车'): ('交投190辆4.5T冷链车', 3000, 150),
|
||||
@@ -218,6 +246,7 @@ VEHICLE_TARGET_MAP = {
|
||||
('现代氢能科技（广州）有限公司', '4.5吨货车'): ('恒运50辆4.5T普货', 5000, 260),
|
||||
}
|
||||
|
||||
|
||||
def read_loss_data(month):
|
||||
"""读取亏损表，返回 {客户名称: '是'/'否'} 字典。无亏损表返回None"""
|
||||
import os
|
||||
@@ -229,8 +258,6 @@ def read_loss_data(month):
|
||||
ws = wb[wb.sheetnames[0]]
|
||||
h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
|
||||
# 1月: 列名"项目","1月是否亏损"
|
||||
# 2月: 列名"客户名称","是否亏损"
|
||||
client_col = None; loss_col = None
|
||||
for i, col_name in enumerate(h):
|
||||
if col_name and ('项目' in str(col_name) or '客户' in str(col_name)):
|
||||
@@ -251,6 +278,7 @@ def read_loss_data(month):
|
||||
wb.close()
|
||||
return result
|
||||
|
||||
|
||||
def get_vehicle_client_map(D):
|
||||
"""从考核源数据构建 {车牌号: 客户名称} 映射（取最新月的客户名）"""
|
||||
plate_client = {}
|
||||
@@ -259,6 +287,7 @@ def get_vehicle_client_map(D):
|
||||
plate_client[r['车牌号']] = r.get('客户名称', '')
|
||||
return plate_client
|
||||
|
||||
|
||||
def read_master_vehicles(fp='里程任务考核_Q1汇总.xlsx'):
|
||||
"""从现有Q1汇总文件读取全量车辆台账"""
|
||||
wb = openpyxl.load_workbook(fp, data_only=True)
|
||||
|
||||
@@ -0,0 +1,549 @@
|
||||
# 初次建设碳平台：同行交流问题清单
|
||||
|
||||
> 适用场景：企业第一次建设碳管理 / 碳资产 / 碳核算平台时，用于和同行、供应商、咨询机构、碳管理团队交流。
|
||||
|
||||
---
|
||||
|
||||
## 一、先明确：碳平台到底服务谁？
|
||||
|
||||
1. 你们做碳平台的第一目标是什么？
|
||||
- 政府监管？
|
||||
- 集团管理？
|
||||
- 客户披露？
|
||||
- 碳交易履约？
|
||||
- ESG 报告？
|
||||
|
||||
2. 平台一期最先做的是哪块？
|
||||
- 碳盘查
|
||||
- 碳核算
|
||||
- 碳资产
|
||||
- 碳交易
|
||||
- 产品碳足迹
|
||||
- 能源管理
|
||||
|
||||
3. 你们一开始有没有做“大而全”？后来哪些模块发现其实用不上？
|
||||
|
||||
4. 平台最终是给谁每天使用？
|
||||
- 安环部
|
||||
- 能源管理部
|
||||
- 财务部
|
||||
- 生产部门
|
||||
- 集团总部
|
||||
- 第三方核查机构
|
||||
|
||||
5. 你们怎么定义平台成功？
|
||||
- 减少人工填报？
|
||||
- 提升核算准确性？
|
||||
- 支撑履约？
|
||||
- 形成减排决策？
|
||||
|
||||
---
|
||||
|
||||
## 二、碳核算边界怎么定？
|
||||
|
||||
这是最容易前期没想清、后期返工的地方。
|
||||
|
||||
1. 组织边界怎么划？
|
||||
- 按法人？
|
||||
- 按厂区？
|
||||
- 按项目？
|
||||
- 按车队？
|
||||
- 按站点？
|
||||
- 按集团层级？
|
||||
|
||||
2. 运营边界怎么划？
|
||||
- 范围一做到什么程度？
|
||||
- 范围二做到什么程度？
|
||||
- 范围三是否纳入？
|
||||
|
||||
3. 哪些排放源必须纳入？
|
||||
- 电
|
||||
- 气
|
||||
- 煤
|
||||
- 油
|
||||
- 蒸汽
|
||||
- 制冷剂
|
||||
- 运输
|
||||
- 外购服务
|
||||
- 员工通勤
|
||||
|
||||
4. 对于多业务混合场景，怎么拆分碳排放？
|
||||
- 一个站点服务多个客户，怎么分摊？
|
||||
- 一个车辆服务多个项目，怎么分摊？
|
||||
- 一个能源账单对应多个业务单元，怎么分摊？
|
||||
|
||||
5. 历史数据从哪一年开始补？
|
||||
- 只做当前年度？
|
||||
- 补 3 年？
|
||||
- 补 5 年？
|
||||
- 是否需要和历史报告口径一致？
|
||||
|
||||
---
|
||||
|
||||
## 三、数据来源和数据质量问题
|
||||
|
||||
碳平台本质上很大程度是一个数据平台，而不是单纯报表系统。
|
||||
|
||||
1. 你们碳数据主要来自哪里？
|
||||
- ERP
|
||||
- MES
|
||||
- SCADA
|
||||
- 电表系统
|
||||
- 能源系统
|
||||
- 财务系统
|
||||
- 人工 Excel
|
||||
- 第三方平台
|
||||
|
||||
2. 哪些数据最难自动获取？
|
||||
- 电费
|
||||
- 燃气
|
||||
- 柴油
|
||||
- 蒸汽
|
||||
- 原材料
|
||||
- 运输里程
|
||||
- 供应商数据
|
||||
|
||||
3. 你们有没有做原始凭证管理？
|
||||
- 发票
|
||||
- 账单
|
||||
- 抄表照片
|
||||
- 采购单
|
||||
- 加油记录
|
||||
- 加氢记录
|
||||
|
||||
4. 数据质量怎么校验？
|
||||
- 缺失值
|
||||
- 异常值
|
||||
- 重复数据
|
||||
- 跨月修正
|
||||
- 人工调整留痕
|
||||
|
||||
5. 人工填报和系统采集冲突时，以谁为准？
|
||||
|
||||
6. 有没有“数据质量评分”？
|
||||
- 自动采集数据是否优于人工填报？
|
||||
- 带凭证数据是否优于无凭证数据？
|
||||
|
||||
7. 月度数据锁定机制怎么做？
|
||||
- 锁定后还能不能修改？
|
||||
- 修改是否需要审批？
|
||||
- 是否保留修改前后的版本？
|
||||
|
||||
---
|
||||
|
||||
## 四、核算模型和排放因子怎么维护？
|
||||
|
||||
1. 你们核算方法是内置固定模板，还是可配置公式？
|
||||
|
||||
2. 排放因子怎么管理？
|
||||
- 国家因子
|
||||
- 省级因子
|
||||
- 行业因子
|
||||
- 企业自定义因子
|
||||
|
||||
3. 排放因子优先级怎么定？
|
||||
|
||||
4. 排放因子版本如何追溯？
|
||||
- 2024 年用了 A 因子，2025 年用了 B 因子，历史结果是否重算？
|
||||
|
||||
5. 活动数据和排放因子是否分开存？
|
||||
- 只存最终碳排放结果，还是保留计算过程？
|
||||
|
||||
6. 核算公式有没有审批发布流程？
|
||||
|
||||
7. 不同行业是否做了不同模板？
|
||||
- 电力
|
||||
- 钢铁
|
||||
- 水泥
|
||||
- 铝
|
||||
- 化工
|
||||
- 交通运输
|
||||
- 园区
|
||||
|
||||
8. 平台是否支持核算结果解释？
|
||||
- 能不能点开一条排放数据，看到：来源数据 × 排放因子 × 公式 = 结果？
|
||||
|
||||
---
|
||||
|
||||
## 五、MRV：监测、报告、核查怎么做？
|
||||
|
||||
1. 平台是否覆盖完整 MRV 流程？
|
||||
- Monitoring：监测
|
||||
- Reporting：报告
|
||||
- Verification：核查
|
||||
|
||||
2. 第三方核查机构怎么使用平台？
|
||||
- 给账号直接进系统看？
|
||||
- 导出材料给核查机构？
|
||||
- 是否有专门的核查视图？
|
||||
|
||||
3. 核查问题如何闭环？
|
||||
- 核查意见
|
||||
- 整改记录
|
||||
- 补充材料
|
||||
- 版本留痕
|
||||
|
||||
4. 是否支持自动生成排放报告？
|
||||
|
||||
5. 报告模板是否按行业、地区、监管要求区分？
|
||||
|
||||
6. 是否有审计轨迹？
|
||||
- 谁填的？
|
||||
- 谁改的？
|
||||
- 谁审的？
|
||||
- 什么时候提交的？
|
||||
|
||||
7. 是否做了填报任务管理？
|
||||
- 每月提醒
|
||||
- 逾期提醒
|
||||
- 部门催办
|
||||
- 审批流
|
||||
|
||||
---
|
||||
|
||||
## 六、碳资产和碳交易怎么设计？
|
||||
|
||||
如果涉及全国碳市场或地方碳市场，这块要提前问清楚。
|
||||
|
||||
1. 平台是否管理配额？
|
||||
- 初始配额
|
||||
- 调整配额
|
||||
- 已用配额
|
||||
- 剩余配额
|
||||
- 履约缺口
|
||||
|
||||
2. 是否支持 CCER 或其他减排量资产管理？
|
||||
|
||||
3. 是否和交易系统打通？
|
||||
- 直接交易？
|
||||
- 只做台账？
|
||||
- 只做履约测算？
|
||||
|
||||
4. 碳价怎么维护？
|
||||
- 手工录入
|
||||
- 接口获取
|
||||
- 财务确认
|
||||
|
||||
5. 是否做履约预测？
|
||||
- 当前排放趋势下，年底预计缺多少配额？
|
||||
- 是否需要提前采购？
|
||||
|
||||
6. 是否支持碳资产成本测算？
|
||||
- 买配额成本
|
||||
- 减排改造成本
|
||||
- 不同策略对比
|
||||
|
||||
7. 财务上怎么入账？
|
||||
- 碳配额
|
||||
- 碳资产
|
||||
- 履约成本
|
||||
- 减排收益
|
||||
|
||||
---
|
||||
|
||||
## 七、减排分析和业务决策怎么落地？
|
||||
|
||||
很多碳平台最后容易变成“填报系统”，所以要重点问同行怎么避免。
|
||||
|
||||
1. 平台有没有做减排潜力分析？
|
||||
|
||||
2. 是否能按不同维度拆分碳排放？
|
||||
- 组织
|
||||
- 站点
|
||||
- 车辆
|
||||
- 设备
|
||||
- 产品
|
||||
- 客户
|
||||
- 线路
|
||||
|
||||
3. 是否能看单位指标？
|
||||
- 吨产品碳排
|
||||
- 百公里碳排
|
||||
- 单车碳排
|
||||
- 单位营收碳排
|
||||
- 单位能耗碳排
|
||||
|
||||
4. 是否能识别异常排放？
|
||||
- 某站点本月电耗异常
|
||||
- 某车辆能耗异常
|
||||
- 某条线路碳排异常
|
||||
|
||||
5. 是否能支撑减排项目管理？
|
||||
- 项目立项
|
||||
- 预计减排量
|
||||
- 实际减排量
|
||||
- 投资回收期
|
||||
|
||||
6. 有没有做情景预测？
|
||||
- 电价变化
|
||||
- 绿电比例提升
|
||||
- 车辆替换
|
||||
- 工艺改造
|
||||
- 能源结构调整
|
||||
|
||||
7. 平台输出的数据，业务部门真的会用吗？
|
||||
- 用于经营分析？
|
||||
- 用于客户报价？
|
||||
- 用于 ESG 披露？
|
||||
- 还是只给领导看大屏？
|
||||
|
||||
---
|
||||
|
||||
## 八、产品碳足迹是否要做？
|
||||
|
||||
产品碳足迹一期不一定要上，但要提前了解是否存在外部压力。
|
||||
|
||||
1. 你们有没有做产品碳足迹？
|
||||
|
||||
2. 如果做，是按什么标准？
|
||||
- ISO 14067
|
||||
- PAS 2050
|
||||
- 客户自定义规则
|
||||
- 行业规则
|
||||
|
||||
3. 生命周期边界做到哪里？
|
||||
- cradle-to-gate
|
||||
- cradle-to-grave
|
||||
- 只做到企业内部生产环节
|
||||
|
||||
4. 原材料供应商数据怎么获取？
|
||||
|
||||
5. 供应商不给数据时怎么处理？
|
||||
- 用行业平均值
|
||||
- 用数据库因子
|
||||
- 要求补充证明
|
||||
- 先人工估算
|
||||
|
||||
6. 产品碳足迹和企业碳核算是否共用一套数据底座？
|
||||
|
||||
7. 有没有客户、出口、CBAM、ESG 披露等实际压力？
|
||||
|
||||
---
|
||||
|
||||
## 九、平台架构和系统集成问题
|
||||
|
||||
可以结合现有业务系统、数据中台、车辆平台、能源账单系统来交流。
|
||||
|
||||
1. 平台是独立建设，还是接入现有数据中台？
|
||||
|
||||
2. 主数据怎么定？
|
||||
- 组织
|
||||
- 厂区
|
||||
- 站点
|
||||
- 车辆
|
||||
- 设备
|
||||
- 能源品类
|
||||
- 供应商
|
||||
- 客户
|
||||
|
||||
3. 是否需要和这些系统打通？
|
||||
- ERP
|
||||
- 财务系统
|
||||
- 电表系统
|
||||
- 能源管理系统
|
||||
- 车辆 TBox
|
||||
- 加氢站系统
|
||||
- 合同系统
|
||||
- 采购系统
|
||||
|
||||
4. 碳平台的数据粒度是什么？
|
||||
- 实时
|
||||
- 日级
|
||||
- 月级
|
||||
- 年度
|
||||
|
||||
5. 对于碳核算来说，实时数据有没有必要？
|
||||
- 哪些场景需要实时？
|
||||
- 哪些场景只需要月度？
|
||||
|
||||
6. 是否做数据血缘？
|
||||
- 一个碳排结果能不能追溯到原始业务单据？
|
||||
|
||||
7. 权限怎么设计？
|
||||
- 集团
|
||||
- 子公司
|
||||
- 厂区
|
||||
- 部门
|
||||
- 第三方核查机构
|
||||
|
||||
8. 是否支持多租户？
|
||||
- 如果未来给多个客户、园区、站点使用，架构能不能撑住？
|
||||
|
||||
---
|
||||
|
||||
## 十、实施踩坑问题
|
||||
|
||||
这些问题最容易问出真实经验。
|
||||
|
||||
1. 第一期最不该做的功能是什么？
|
||||
|
||||
2. 最大的坑是技术问题、数据问题，还是组织协同问题？
|
||||
|
||||
3. 哪些数据一开始以为有，后来发现没有？
|
||||
|
||||
4. 哪些数据口径最容易产生争议？
|
||||
- 财务账单
|
||||
- 抄表数
|
||||
- 生产系统数
|
||||
- 业务系统数
|
||||
|
||||
5. 平台上线后，谁负责持续维护？
|
||||
- 排放因子
|
||||
- 核算公式
|
||||
- 组织架构
|
||||
- 数据质量
|
||||
- 报告模板
|
||||
|
||||
6. 有没有专门的碳管理岗位？
|
||||
- 安环负责？
|
||||
- 财务负责？
|
||||
- 能源部门负责？
|
||||
- 信息化负责？
|
||||
- 多部门共同维护？
|
||||
|
||||
7. 你们上线用了多久？
|
||||
- 试点范围多大？
|
||||
- 先选一个厂区？
|
||||
- 先选一个园区？
|
||||
- 还是集团全铺？
|
||||
|
||||
8. 系统上线后，人工 Excel 有没有真的减少？
|
||||
|
||||
9. 做平台前有没有先做碳盘查咨询？
|
||||
- 咨询成果怎么转成系统需求？
|
||||
|
||||
10. 平台建设是 IT 主导，还是碳管理部门主导？最终谁说了算？
|
||||
|
||||
---
|
||||
|
||||
## 十一、结合车辆 / 加氢 / 能源业务的重点追问方向
|
||||
|
||||
如果企业业务涉及车辆运营、加氢站、能源账单、TBox、物流轨迹，可以重点问以下方向。
|
||||
|
||||
### 1. 交通 / 车队碳核算
|
||||
|
||||
1. 车辆碳排是按燃料消耗核算，还是按里程和车型因子估算？
|
||||
|
||||
2. 新能源 / 氢能车辆怎么计算减排量？
|
||||
|
||||
3. 车辆、司机、客户、线路之间的碳排怎么分摊？
|
||||
|
||||
4. 空驶、异常行驶、运营行驶是否区分？
|
||||
|
||||
5. 有没有把 TBox 里程、加氢订单、ETC、物流单结合起来做碳排核算？
|
||||
|
||||
6. 车辆维度是否支持以下指标？
|
||||
- 单车碳排
|
||||
- 百公里碳排
|
||||
- 单趟运输碳排
|
||||
- 客户维度碳排
|
||||
- 线路维度碳排
|
||||
|
||||
### 2. 加氢站 / 能源侧碳数据
|
||||
|
||||
1. 加氢站的电耗、氢源、压缩、储运环节碳排怎么核算？
|
||||
|
||||
2. 不同氢源的排放因子怎么维护？
|
||||
- 灰氢
|
||||
- 蓝氢
|
||||
- 绿氢
|
||||
- 外购氢
|
||||
|
||||
3. 站点级碳排是否能分摊到车辆或客户？
|
||||
|
||||
4. 是否记录每笔加氢订单对应的碳因子？
|
||||
|
||||
5. 氢气采购、运输、站内损耗是否纳入？
|
||||
|
||||
6. 站点电耗与加氢量之间是否做能效分析？
|
||||
|
||||
### 3. 碳平台与业务系统融合
|
||||
|
||||
1. 碳平台是单独填报，还是从业务系统自动取数？
|
||||
|
||||
2. 如果业务系统数据不完整，碳平台是反向推动业务系统补数据，还是允许人工补录？
|
||||
|
||||
3. 碳数据能不能回流业务？
|
||||
- 客户账单
|
||||
- 绿色运力证明
|
||||
- ESG 报告
|
||||
- 项目报价
|
||||
- 客户披露材料
|
||||
|
||||
4. 有没有把碳排放作为业务 KPI？
|
||||
|
||||
5. 碳平台是否能和车辆资产、合同、订单、账单系统联动？
|
||||
|
||||
---
|
||||
|
||||
## 十二、可直接带去交流的高质量问题清单
|
||||
|
||||
下面这组问题适合在同行交流会上直接使用。
|
||||
|
||||
1. 你们碳平台一期的最小可用范围是什么？
|
||||
|
||||
2. 组织边界、运营边界、核算边界是谁定的？
|
||||
|
||||
3. 数据主要来自系统接口还是人工填报？比例大概多少？
|
||||
|
||||
4. 活动数据、排放因子、核算公式是否都能版本追溯？
|
||||
|
||||
5. 核算结果能否追溯到原始凭证？
|
||||
|
||||
6. 月度数据有没有锁定、审批、修改留痕机制？
|
||||
|
||||
7. 第三方核查机构怎么使用平台？
|
||||
|
||||
8. 平台是否支持全国碳市场履约和配额管理？
|
||||
|
||||
9. 是否做减排预测，而不仅是排放统计？
|
||||
|
||||
10. 上线后，哪些功能使用频率最高？哪些功能基本没人用？
|
||||
|
||||
11. 最大的实施难点是数据、口径、组织协同，还是系统集成？
|
||||
|
||||
12. 如果重做一次，你们第一期会砍掉哪些功能？
|
||||
|
||||
13. 你们的排放因子、公式、报告模板由谁维护？
|
||||
|
||||
14. 碳平台上线后，有没有真正减少人工 Excel？
|
||||
|
||||
15. 平台输出的数据是否参与经营决策？还是主要用于报告和展示？
|
||||
|
||||
---
|
||||
|
||||
## 十三、交流时建议关注的判断标准
|
||||
|
||||
和同行交流时，不建议只问“有什么功能”，而要重点判断这些问题：
|
||||
|
||||
1. 数据是否可追溯
|
||||
- 能否从碳排结果追到原始单据、原始读数、原始凭证。
|
||||
|
||||
2. 口径是否可解释
|
||||
- 每个排放结果是否能说明怎么算出来的。
|
||||
|
||||
3. 过程是否可核查
|
||||
- 是否有审批、留痕、版本、附件、核查意见闭环。
|
||||
|
||||
4. 结果是否可使用
|
||||
- 是否真正服务履约、减排、经营、客户披露，而不是只做大屏。
|
||||
|
||||
5. 平台是否可持续维护
|
||||
- 因子、公式、组织、模板、权限、数据源变化后，是否能低成本维护。
|
||||
|
||||
---
|
||||
|
||||
## 十四、总结建议
|
||||
|
||||
第一次做碳平台，不要先问：
|
||||
|
||||
> 系统有什么功能？
|
||||
|
||||
而要先问：
|
||||
|
||||
> 数据从哪里来？口径谁确认？结果给谁用？能不能被核查？上线后谁维护？
|
||||
|
||||
碳平台的核心不是大屏，而是形成一套：
|
||||
|
||||
> 可追溯、可核查、可解释、可持续维护的数据闭环。
|
||||
|
||||
+52
-7
@@ -61,22 +61,32 @@ def write_total(ws, rn, month, all_data):
|
||||
|
||||
def write_rules_sheet(wb):
|
||||
ws = wb.active; ws.title='考核奖励规则'
|
||||
WH(ws,['考核目标','月度目标里程(km)','奖励金额(元)'])
|
||||
for i,(n,km,b) in enumerate([('交投40辆4.5T普货',3000,150),('交投190辆4.5T冷链车',3000,150),
|
||||
('羚牛136辆4.5T冷链车',5000,260),('恒运50辆4.5T普货',5000,260),('羚牛100辆18T',6000,1000)],2):
|
||||
WR(ws,i,[n,km,b])
|
||||
WH(ws,['考核目标','月度目标里程(km)','当月达标','当月未达标','结转','补发/累计补发'])
|
||||
for i,(n,km,g,b,c,o,is18t) in enumerate([
|
||||
('交投40辆4.5T普货',3000,150,0,150,150,False),
|
||||
('交投190辆4.5T冷链车',3000,150,0,150,150,False),
|
||||
('羚牛136辆4.5T冷链车',5000,260,0,260,260,False),
|
||||
('恒运50辆4.5T普货',5000,260,0,260,260,False),
|
||||
('羚牛100辆18T',6000,1000,0,1000,1000,True),
|
||||
('2026年7月指定4辆18T',5000,150,0,150,150,True),
|
||||
],2):
|
||||
WR(ws,i,[n,km,
|
||||
f'{g}元×天数折算',
|
||||
f'{b}元×天数折算' if is18t else '不发',
|
||||
f'{c}元整月',
|
||||
f'{o}元×折算'])
|
||||
AW(ws)
|
||||
|
||||
def write_detail_sheet(wb, records, month):
|
||||
ws = wb.create_sheet(f'里程明细{month}月')
|
||||
WH(ws,['车牌号','部门名称','销售经理','客户名称','合同编号','考核目标','月度目标里程','对应月奖励金额',
|
||||
WH(ws,['车牌号','部门名称','销售经理','客户名称','合同编号','考核目标','月度目标里程','月奖励金额',
|
||||
'考核天数',f'{month}月应考核里程',f'{month}月实际行驶里程','完成率',f'{month}月是否达标',
|
||||
f'{month}月奖金(天数折算)','多跑里程','可结转月数','考核状态'])
|
||||
rn=2
|
||||
for r in sorted(records, key=lambda x: (x['销售经理'],x['车牌号'])):
|
||||
t,a = r['应考核里程(km)'], r['实际行驶里程(km)']
|
||||
WR(ws,rn,[r['车牌号'],r['部门名称'],r['销售经理'],r.get('客户名称',''),r.get('合同编号',''),
|
||||
r.get('考核目标',''),r['月度目标里程'],r['对应月奖励金额'],r['考核天数'],
|
||||
r.get('考核目标',''),r['月度目标里程'],r['奖励基准_达标'],r['考核天数'],
|
||||
R(t),R(a),R(a/t,4) if t>0 else 0,r['是否达标'],R(r['奖金']),R(r['多跑']),r['可结转'],
|
||||
r.get('考核状态','')]); rn+=1
|
||||
AW(ws)
|
||||
@@ -162,6 +172,41 @@ def write_calc_process_mar(wb, G1, G2, G3, feb_data):
|
||||
c5,R(cbp3) if cbp3>0 else 0,R(total) if total>0 else 0]); rn+=1
|
||||
AW(ws)
|
||||
|
||||
def write_calc_process_generic(wb, month, G_all, all_data):
|
||||
"""通用计算过程sheet，支持1-6月"""
|
||||
G_cur = G_all[month]
|
||||
headers = ['车牌号','销售经理','部门',
|
||||
f'{month}月记录数',f'{month}月总天数',f'{month}月应考核',f'{month}月实际',f'{month}月有达标',f'{month}月奖金',
|
||||
'累计应考核','累计实际','累计达标','可结转','结转发放']
|
||||
headers += [f'补发{m}月' for m in range(1, month)]
|
||||
headers += ['当月奖金', f'累计补发{month}月', f'{month}月发放合计']
|
||||
|
||||
ws = wb.create_sheet(f'{month}月计算过程')
|
||||
WH(ws, headers)
|
||||
rn = 2
|
||||
for k in sorted(G_cur.keys(), key=lambda x: (x[1], x[0])):
|
||||
g = G_cur[k]
|
||||
if g.get('虚拟'):
|
||||
continue
|
||||
cum_q_str = '达标' if g.get('cum_q') else '未达标'
|
||||
dq_str = '是' if g['有达标'] else '否'
|
||||
carry = g.get('结转', 0)
|
||||
bonus = g.get('当月奖金', 0)
|
||||
cbp = g.get('累计补发当月', 0)
|
||||
back_pays = [g.get(f'补发{m}', 0) for m in range(1, month)]
|
||||
total = carry + bonus + cbp + sum(back_pays)
|
||||
|
||||
row = [k[0], k[1], g['部门'],
|
||||
len(g['recs']), g['天数'], R(g['应考核']), R(g['实际']), dq_str, R(g['奖金']),
|
||||
R(g.get('cum_t', 0)), R(g.get('cum_a', 0)), cum_q_str,
|
||||
g.get('可结转', 0), R(carry)]
|
||||
row += [R(bp) for bp in back_pays]
|
||||
row += [R(bonus), R(cbp), R(total)]
|
||||
WR(ws, rn, row)
|
||||
rn += 1
|
||||
AW(ws)
|
||||
|
||||
|
||||
def write_summary_jan(wb, records, loss_data=None, plate_client=None):
|
||||
ws = wb.create_sheet('1月汇总')
|
||||
jan_dl=[{'车牌':r['车牌号'],'销售':r['销售经理'],'部门':r['部门名称'],'额':r['奖金']} for r in records if r['是否达标']=='达标']
|
||||
@@ -452,7 +497,7 @@ def write_salesperson_sheet(wb, person, dept, settle_month, D, G, month_data, ve
|
||||
mkm = g_cur['目标km']
|
||||
|
||||
# 第1行：车辆信息 + 各月里程/目标
|
||||
row = [plate, first.get('考核目标',''), g_cur['奖励额']]
|
||||
row = [plate, first.get('考核目标',''), g_cur['奖励达标']]
|
||||
cum_t = 0; cum_a = 0
|
||||
for m in range(1, settle_month+1):
|
||||
gm = G.get(m, {}).get((plate, person))
|
||||
|
||||
@@ -0,0 +1,147 @@
|
||||
#!/usr/bin/env python3
|
||||
"""复刻6月干预说明配色，并将达标分类改为一行一人。"""
|
||||
from copy import copy
|
||||
from collections import defaultdict
|
||||
from pathlib import Path
|
||||
import openpyxl
|
||||
|
||||
BASE = Path('/Users/kkfluous/Downloads')
|
||||
JUL = BASE / '7月核算结果/租赁任务考核_2026年7月_干预情况说明.xlsx'
|
||||
JUN = BASE / '6月核算结果/租赁任务考核_2026年6月_干预情况说明.xlsx'
|
||||
SRC = BASE / '7月核算结果/租赁任务考核_2026年7月.xlsx'
|
||||
BAK = BASE / '7月核算结果/租赁任务考核_2026年7月_原版备份.xlsx'
|
||||
TEST = Path('/Users/kkfluous/Library/Containers/com.tencent.xinWeChat/Data/Documents/xwechat_files/wxid_1704407055112_3af8/temp/RWTemp/2026-08/4340099467fbf08b4c6583c49adba4ee/7月测试车辆明细.xlsx')
|
||||
|
||||
def recs(path):
|
||||
wb = openpyxl.load_workbook(path, data_only=True)
|
||||
ws = wb['业务考核视图']
|
||||
h = [c.value for c in ws[1]]
|
||||
out = [dict(zip(h, r)) for r in ws.iter_rows(min_row=2, values_only=True) if r[0]]
|
||||
wb.close()
|
||||
return out
|
||||
|
||||
def clone_style(src, dst):
|
||||
dst.font = copy(src.font)
|
||||
dst.fill = copy(src.fill)
|
||||
dst.border = copy(src.border)
|
||||
dst.alignment = copy(src.alignment)
|
||||
dst.protection = copy(src.protection)
|
||||
dst.number_format = src.number_format
|
||||
|
||||
def style_row(ws, row, cols, ref_ws, ref_row, ref_cols=None):
|
||||
ref_cols = ref_cols or cols
|
||||
for c, rc in zip(cols, ref_cols):
|
||||
clone_style(ref_ws.cell(ref_row, rc), ws.cell(row, c))
|
||||
|
||||
new = recs(SRC)
|
||||
old = recs(BAK)
|
||||
old_map = {}
|
||||
for r in old:
|
||||
old_map[r['车牌号']] = r
|
||||
|
||||
twb = openpyxl.load_workbook(TEST, data_only=True)
|
||||
test_plates = {str(r[0]).strip() for r in twb.active.iter_rows(min_row=2, values_only=True) if r[0]}
|
||||
test_plates.discard('粤AG37316')
|
||||
twb.close()
|
||||
intervention = [r for r in new if r['车牌号'] in test_plates]
|
||||
flip = []
|
||||
for r in intervention:
|
||||
old_r = old_map.get(r['车牌号'])
|
||||
if old_r and old_r.get('是否达标') == '达标' and r.get('是否达标') != '达标':
|
||||
flip.append(r)
|
||||
|
||||
groups = defaultdict(lambda: defaultdict(int))
|
||||
for r in flip:
|
||||
groups[r.get('考核目标') or '未知'][(r.get('部门名称') or '', r.get('销售经理') or '')] += 1
|
||||
|
||||
wb = openpyxl.load_workbook(JUL)
|
||||
ref = openpyxl.load_workbook(JUN)
|
||||
ws = wb['测试与考核情况说明']
|
||||
rws = ref['测试与考核情况说明']
|
||||
|
||||
# 清空原说明页后，按6月视觉规范重建。
|
||||
for merged in list(ws.merged_cells.ranges):
|
||||
ws.unmerge_cells(str(merged))
|
||||
ws.delete_rows(1, ws.max_row)
|
||||
for col in range(1, 8):
|
||||
letter = openpyxl.utils.get_column_letter(col)
|
||||
ws.column_dimensions[letter].width = rws.column_dimensions[letter].width
|
||||
|
||||
total_plates = len({r['车牌号'] for r in new})
|
||||
interv_plates = len({r['车牌号'] for r in intervention})
|
||||
total_tbox = sum(float(r.get('原TBOX里程(km)') or 0) for r in new)
|
||||
total_actual = sum(float(r.get('实际行驶里程(km)') or 0) for r in new)
|
||||
total_test = sum(float(r.get('测试里程(km)') or 0) for r in new)
|
||||
interv_tbox = sum(float(r.get('原TBOX里程(km)') or 0) for r in intervention)
|
||||
interv_actual = sum(float(r.get('实际行驶里程(km)') or 0) for r in intervention)
|
||||
interv_test = sum(float(r.get('测试里程(km)') or 0) for r in intervention)
|
||||
|
||||
# 标题及说明：深蓝标题、浅黄说明，与6月一致。
|
||||
ws.merge_cells('A1:G1'); ws['A1'] = '2026年7月 业务考核 — 测试与考核情况说明'; clone_style(rws['A1'], ws['A1'])
|
||||
ws.row_dimensions[1].height = rws.row_dimensions[1].height
|
||||
ws.merge_cells('A2:G3'); ws['A2'] = ('7月业务考核车辆中，测试车辆统一以指定GPS日里程按考核期汇总替换TBOX里程，差额作为测试里程剥离且最低取0。\n'
|
||||
'粤AG37316因GPS缺失，经业务确认暂按0核算。'); clone_style(rws['A2'], ws['A2'])
|
||||
ws.row_dimensions[2].height = rws.row_dimensions[2].height
|
||||
|
||||
ws.merge_cells('A5:G5'); ws['A5'] = '一、7月业务考核与干预情况'; clone_style(rws['A5'], ws['A5'])
|
||||
headers = ['项目', '7月业务考核车辆', '涉及测试的车辆', '占比']
|
||||
for c, v in enumerate(headers, 1): ws.cell(6,c,v); clone_style(rws.cell(6,c), ws.cell(6,c))
|
||||
stats = [
|
||||
('车辆数(辆)', total_plates, interv_plates),
|
||||
('产生考核记录数(条)', len(new), len(intervention)),
|
||||
('仪表盘里程(km)', round(total_tbox), round(interv_tbox)),
|
||||
('业务考核里程 GPS(km)', round(total_actual), round(interv_actual)),
|
||||
('测试里程(km)', round(total_test), round(interv_test)),
|
||||
]
|
||||
for rr, (label, allv, partv) in enumerate(stats, 7):
|
||||
for c, v in enumerate([label, allv, partv, partv/allv if allv else 0], 1):
|
||||
ws.cell(rr,c,v); clone_style(rws.cell(7 + ((rr-7)%2),c), ws.cell(rr,c))
|
||||
|
||||
# “测试里程”比例改为测试车辆剔除率，避免原100%被理解成车辆全部里程均为测试。
|
||||
ws['D6'] = '占比/剔除率'
|
||||
ws['D11'] = interv_test / interv_tbox if interv_tbox else 0
|
||||
negative_floor_adjustment = sum(max(0, float(r.get('实际行驶里程(km)') or 0) - float(r.get('原TBOX里程(km)') or 0)) for r in intervention)
|
||||
ws.merge_cells('A12:G12')
|
||||
ws['A12'] = (f'勾稽：测试里程 {round(interv_tbox):,} − {round(interv_actual):,} ＋ '
|
||||
f'{round(negative_floor_adjustment):,}（负差归0调整）＝ {round(interv_test):,} km')
|
||||
clone_style(rws['A2'], ws['A12'])
|
||||
ws.row_dimensions[12].height = 22
|
||||
|
||||
ws.merge_cells('A13:G13'); ws['A13']='二、干预车辆考核达标情况说明'; clone_style(rws['A13'],ws['A13'])
|
||||
ws.merge_cells('A14:G14'); ws['A14']=f'共 {len(intervention)} 条考核记录涉及里程干预；替换为GPS里程后，共 {len(flip)} 条考核车辆记录由“达标”转判为“未达标”。按车型分类如下：'; clone_style(rws['A14'],ws['A14'])
|
||||
|
||||
target_order = ['羚牛136辆4.5T冷链车','羚牛100辆18T','交投40辆4.5T普货','交投190辆4.5T冷链车','恒运50辆4.5T普货','恒运50辆4.5T 普货']
|
||||
rn = 16
|
||||
for target in target_order:
|
||||
items = sorted(groups.get(target, {}).items())
|
||||
if not items: continue
|
||||
total = sum(v for _, v in items)
|
||||
ws.merge_cells(start_row=rn,start_column=1,end_row=rn,end_column=3)
|
||||
ws.cell(rn,1,f'◎{target}（{total} 辆）'); clone_style(rws['A15'],ws.cell(rn,1)); rn += 1
|
||||
for c,v in enumerate(['部门','销售经理','数量'],1): ws.cell(rn,c,v); clone_style(rws.cell(16,c),ws.cell(rn,c))
|
||||
rn += 1
|
||||
for idx, ((dept,sales),cnt) in enumerate(items):
|
||||
for c,v in enumerate([dept,sales,cnt],1): ws.cell(rn,c,v); clone_style(rws.cell(17 + idx%2,c),ws.cell(rn,c))
|
||||
rn += 1
|
||||
rn += 1
|
||||
|
||||
# 数据来源说明沿用6月蓝色区域。
|
||||
ws.merge_cells(start_row=rn,start_column=1,end_row=rn,end_column=7); ws.cell(rn,1,'三、里程三列数据来源说明'); clone_style(rws['A13'],ws.cell(rn,1)); rn += 1
|
||||
for c,v in enumerate(['列','字段名','数据来源','说明'],1): ws.cell(rn,c,v); clone_style(rws.cell(6,c),ws.cell(rn,c))
|
||||
rn += 1
|
||||
descs = [
|
||||
('O','原TBOX里程(km)','车辆 T-Box / 仪表盘读数','业务系统原始TBOX里程，包含运营、测试及调试里程。'),
|
||||
('P','实际行驶里程(km)','指定GPS日里程文件','按考核日期逐日汇总GPS里程；粤AG37316经确认暂按0核算。'),
|
||||
('Q','测试里程(km)','O − P（最低取0）','原TBOX里程与GPS里程的非负差额，不计入考核。'),
|
||||
]
|
||||
for idx,row in enumerate(descs):
|
||||
for c,v in enumerate(row,1): ws.cell(rn,c,v); clone_style(rws.cell(28 + idx,c),ws.cell(rn,c))
|
||||
ws.row_dimensions[rn].height = rws.row_dimensions[28 + idx].height
|
||||
rn += 1
|
||||
|
||||
ws.sheet_view.showGridLines = rws.sheet_view.showGridLines
|
||||
ws.freeze_panes = rws.freeze_panes
|
||||
wb.save(JUL)
|
||||
wb.close(); ref.close()
|
||||
print(f'updated={JUL}')
|
||||
print(f'rows={rn-1} flip={len(flip)} groups={sum(len(v) for v in groups.values())}')
|
||||
@@ -0,0 +1,793 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
全流程：用GPS汇总文件替换测试车辆里程 → 重新核算6月 → 离职转嫁 → 输出
|
||||
输出目录: 20260713_1500/
|
||||
"""
|
||||
import openpyxl, os, shutil, xlrd
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
from collections import defaultdict
|
||||
from datetime import datetime, timedelta
|
||||
from calc_engine import *
|
||||
import excel_writer as ew
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
GPS_BASE = 'gps里程汇总2026年1-6月 3'
|
||||
OUT_DIR = '20260713_1500'
|
||||
os.makedirs(OUT_DIR, exist_ok=True)
|
||||
|
||||
# ============================================================
|
||||
# Step 1: Build GPS daily mileage lookup from all 4 providers
|
||||
# ============================================================
|
||||
print("=" * 60)
|
||||
print("Step 1: 构建GPS日里程映射")
|
||||
print("=" * 60)
|
||||
|
||||
# {plate: {day_number (1-30): mileage_km}}
|
||||
gps_daily = defaultdict(lambda: defaultdict(float))
|
||||
|
||||
# --- G7 ---
|
||||
print("\n读取 G7...")
|
||||
fp_g7 = os.path.join(GPS_BASE, 'G7/202606_G7.xlsx')
|
||||
wb = openpyxl.load_workbook(fp_g7, data_only=True)
|
||||
ws = wb.active
|
||||
h_g7 = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
# Find daily columns: 06月01日 ... 06月30日
|
||||
g7_day_cols = {}
|
||||
for i, h in enumerate(h_g7):
|
||||
if h and '月' in str(h) and '日' in str(h):
|
||||
# Parse "06月15日" -> day=15
|
||||
import re
|
||||
m = re.search(r'(\d+)月(\d+)日', str(h))
|
||||
if m:
|
||||
day = int(m.group(2))
|
||||
g7_day_cols[day] = i
|
||||
|
||||
print(f" G7日期列: {len(g7_day_cols)} 天, 共 {ws.max_row-1} 辆车")
|
||||
g7_count = 0
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
plate = str(row[0]).strip() if row[0] else ''
|
||||
if not plate: continue
|
||||
for day, col in g7_day_cols.items():
|
||||
val = float(row[col] or 0)
|
||||
if val > 0:
|
||||
gps_daily[plate][day] += val
|
||||
g7_count += 1
|
||||
wb.close()
|
||||
print(f" G7: {g7_count} 辆车")
|
||||
|
||||
# --- 东方北斗 ---
|
||||
print("\n读取 东方北斗...")
|
||||
fp_df = os.path.join(GPS_BASE, '东方北斗/202606_东方北斗.xlsx')
|
||||
wb = openpyxl.load_workbook(fp_df, data_only=True)
|
||||
ws = wb.active
|
||||
h_df = [c.value for c in next(ws.iter_rows(min_row=3, max_row=3))]
|
||||
# Daily columns: 1号(Col 11) ... 30号(Col 40)
|
||||
df_day_cols = {}
|
||||
for i, h in enumerate(h_df):
|
||||
if h and '号' in str(h) and str(h)[0].isdigit():
|
||||
try:
|
||||
day = int(str(h).replace('号', ''))
|
||||
df_day_cols[day] = i
|
||||
except: pass
|
||||
|
||||
print(f" 东方北斗日期列: {len(df_day_cols)} 天")
|
||||
df_count = 0
|
||||
for row in ws.iter_rows(min_row=4, values_only=True):
|
||||
plate = str(row[5]).strip() if row[5] else ''
|
||||
if not plate: continue
|
||||
for day, col in df_day_cols.items():
|
||||
val = float(row[col] or 0)
|
||||
if val > 0:
|
||||
gps_daily[plate][day] += val
|
||||
df_count += 1
|
||||
wb.close()
|
||||
print(f" 东方北斗: {df_count} 辆车")
|
||||
|
||||
# --- 信达GPS (daily detail format) ---
|
||||
print("\n读取 信达GPS...")
|
||||
fp_xd = os.path.join(GPS_BASE, '信达GPS/202606_信达.xlsx')
|
||||
wb = openpyxl.load_workbook(fp_xd, data_only=True)
|
||||
ws = wb.active
|
||||
xd_count = 0
|
||||
for row in ws.iter_rows(min_row=4, values_only=True):
|
||||
plate = str(row[7]).strip() if row[7] else ''
|
||||
date_str = str(row[14]).strip() if row[14] else ''
|
||||
mileage = float(row[15] or 0)
|
||||
if not plate or not date_str or mileage <= 0: continue
|
||||
try:
|
||||
# Parse date: "2026-06-01"
|
||||
dt = datetime.strptime(date_str[:10], '%Y-%m-%d')
|
||||
day = dt.day
|
||||
gps_daily[plate][day] += mileage
|
||||
xd_count += 1
|
||||
except: pass
|
||||
wb.close()
|
||||
print(f" 信达GPS: {xd_count} 条日记录")
|
||||
|
||||
# --- 广安北斗 (monthly only - xls) ---
|
||||
print("\n读取 广安北斗...")
|
||||
fp_ga = os.path.join(GPS_BASE, '广安北斗/202606_广安北斗.xls')
|
||||
gdwb = xlrd.open_workbook(fp_ga)
|
||||
gdws = gdwb.sheet_by_index(0)
|
||||
ga_count = 0
|
||||
for r in range(7, gdws.nrows):
|
||||
plate = str(gdws.cell_value(r, 3)).strip()
|
||||
mileage = float(gdws.cell_value(r, 11) or 0)
|
||||
if not plate or mileage <= 0: continue
|
||||
# Spread across all 30 days proportionally? No - store as a special total
|
||||
# Better: store at day 0 as "full month total"
|
||||
if 0 not in gps_daily[plate] or gps_daily[plate][0] < mileage:
|
||||
gps_daily[plate][0] = mileage # day 0 = full month total marker
|
||||
ga_count += 1
|
||||
print(f" 广安北斗: {ga_count} 辆车 (月度汇总)")
|
||||
|
||||
total_plates = len(gps_daily)
|
||||
print(f"\nGPS映射总计: {total_plates} 辆车")
|
||||
|
||||
# ============================================================
|
||||
# Step 2: Read test vehicle plates
|
||||
# ============================================================
|
||||
print("\n" + "=" * 60)
|
||||
print("Step 2: 提取测试车辆清单")
|
||||
print("=" * 60)
|
||||
|
||||
# Extract from干预情况说明
|
||||
fp_interv = '租赁任务考核_2026年6月_干预情况说明.xlsx'
|
||||
if os.path.exists(fp_interv):
|
||||
wb = openpyxl.load_workbook(fp_interv, data_only=True)
|
||||
ws = wb['涉及测试的业务考核车辆']
|
||||
h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
plate_col = h.index('车牌号')
|
||||
test_plates = set()
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
p = row[plate_col]
|
||||
if p: test_plates.add(str(p).strip())
|
||||
wb.close()
|
||||
else:
|
||||
# Fallback: vehicles with test mileage > 0 in current source
|
||||
wb = openpyxl.load_workbook('租赁任务考核_2026年6月.xlsx', data_only=True)
|
||||
ws = wb['业务考核视图']
|
||||
h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
pcol = h.index('车牌号')
|
||||
tcol = h.index('测试里程(km)')
|
||||
test_plates = set()
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
if float(row[tcol] or 0) > 0:
|
||||
test_plates.add(str(row[pcol]).strip())
|
||||
wb.close()
|
||||
|
||||
print(f"测试车辆: {len(test_plates)} 辆")
|
||||
|
||||
# Check GPS coverage
|
||||
gps_hit = sum(1 for p in test_plates if p in gps_daily)
|
||||
gps_miss = test_plates - set(gps_daily.keys())
|
||||
print(f"GPS命中: {gps_hit}, GPS缺失: {len(gps_miss)}")
|
||||
if gps_miss:
|
||||
print(f"缺失车辆(前10): {sorted(gps_miss)[:10]}")
|
||||
|
||||
# ============================================================
|
||||
# Step 3: Replace GPS mileage for test vehicles
|
||||
# ============================================================
|
||||
print("\n" + "=" * 60)
|
||||
print("Step 3: 替换测试车辆实际行驶里程")
|
||||
print("=" * 60)
|
||||
|
||||
# Start from current source file (has correct structure with TBOX/GPS/测试 columns)
|
||||
src_fp = '租赁任务考核_2026年6月.xlsx'
|
||||
wb_src = openpyxl.load_workbook(src_fp)
|
||||
ws_src = wb_src['业务考核视图']
|
||||
h_src = [c.value for c in next(ws_src.iter_rows(min_row=1, max_row=1))]
|
||||
|
||||
# Column indices
|
||||
col_plate = h_src.index('车牌号')
|
||||
col_tbox = h_src.index('原TBOX里程(km)')
|
||||
col_actual = h_src.index('实际行驶里程(km)')
|
||||
col_test = h_src.index('测试里程(km)')
|
||||
col_rate = h_src.index('完成率(%)')
|
||||
col_dabiao = h_src.index('是否达标')
|
||||
col_start = h_src.index('考核开始日期')
|
||||
col_end = h_src.index('考核结束日期')
|
||||
col_target_km = h_src.index('应考核里程(km)')
|
||||
|
||||
YELLOW_FILL = PatternFill(start_color='FFFF00', end_color='FFFF00', fill_type='solid')
|
||||
|
||||
updated_count = 0
|
||||
no_gps_count = 0
|
||||
records = []
|
||||
|
||||
for row_idx, row in enumerate(ws_src.iter_rows(min_row=2), start=2):
|
||||
plate = str(row[col_plate].value or '').strip()
|
||||
tbox_val = float(row[col_tbox].value or 0)
|
||||
start_date = row[col_start].value
|
||||
end_date = row[col_end].value
|
||||
target_km = float(row[col_target_km].value or 0)
|
||||
|
||||
if plate not in test_plates:
|
||||
records.append((row_idx, plate, False, None, None))
|
||||
continue
|
||||
|
||||
# Calculate GPS mileage within考核日期区间
|
||||
gps_sum = 0.0
|
||||
gps_data = gps_daily.get(plate, {})
|
||||
|
||||
if 0 in gps_data and len(gps_data) == 1:
|
||||
# 广安北斗: only has full month total
|
||||
gps_sum = gps_data[0]
|
||||
elif start_date and end_date:
|
||||
# Parse dates and sum daily GPS
|
||||
if isinstance(start_date, datetime) and isinstance(end_date, datetime):
|
||||
start_day = start_date.day
|
||||
end_day = end_date.day
|
||||
for day in range(start_day, end_day + 1):
|
||||
gps_sum += gps_data.get(day, 0)
|
||||
elif isinstance(start_date, str):
|
||||
try:
|
||||
sd = datetime.strptime(str(start_date)[:10], '%Y-%m-%d')
|
||||
ed = datetime.strptime(str(end_date)[:10], '%Y-%m-%d')
|
||||
for day in range(sd.day, ed.day + 1):
|
||||
gps_sum += gps_data.get(day, 0)
|
||||
except: pass
|
||||
else:
|
||||
# No dates, use full month
|
||||
gps_sum = sum(gps_data.values())
|
||||
else:
|
||||
gps_sum = sum(gps_data.values())
|
||||
|
||||
if gps_sum <= 0 and tbox_val <= 0:
|
||||
no_gps_count += 1
|
||||
records.append((row_idx, plate, True, tbox_val, tbox_val))
|
||||
continue
|
||||
|
||||
# Test mileage = max(0, TBOX - GPS)
|
||||
test_mileage = max(0, tbox_val - gps_sum)
|
||||
|
||||
# Completion rate
|
||||
rate = (gps_sum / target_km * 100) if target_km > 0 else 0
|
||||
|
||||
# 达标判断
|
||||
dabiao = '达标' if gps_sum >= target_km and target_km > 0 else '未达标'
|
||||
|
||||
# Update cells
|
||||
row[col_actual].value = round(gps_sum, 2)
|
||||
row[col_test].value = round(test_mileage, 2)
|
||||
row[col_rate].value = round(rate, 2)
|
||||
row[col_dabiao].value = dabiao
|
||||
|
||||
# Yellow highlight
|
||||
for cell in row:
|
||||
cell.fill = YELLOW_FILL
|
||||
|
||||
updated_count += 1
|
||||
records.append((row_idx, plate, True, gps_sum, test_mileage))
|
||||
|
||||
print(f"测试车辆记录: {updated_count} 条已更新, {no_gps_count} 条无GPS数据")
|
||||
|
||||
# Save updated source file
|
||||
new_src = os.path.join(OUT_DIR, '租赁任务考核_2026年6月.xlsx')
|
||||
wb_src.save(new_src)
|
||||
print(f"✅ 新数据源: {new_src}")
|
||||
|
||||
# ============================================================
|
||||
# Step 4: Run 核算
|
||||
# ============================================================
|
||||
print("\n" + "=" * 60)
|
||||
print("Step 4: 运行核算")
|
||||
print("=" * 60)
|
||||
|
||||
# Temporarily copy source to working location
|
||||
shutil.copy(new_src, '租赁任务考核_2026年6月.xlsx')
|
||||
|
||||
# Re-run main.py logic
|
||||
print("读取源数据...")
|
||||
D = {}
|
||||
for m in range(1, 7):
|
||||
fp = f'租赁任务考核_2026年{m}月.xlsx'
|
||||
if os.path.exists(fp):
|
||||
D[m] = read_file(fp, m)
|
||||
print(f" {m}月: {len(D[m])}条")
|
||||
|
||||
G = {m: grp(D[m], m) for m in D}
|
||||
calc_jan_carryover(G[1])
|
||||
all_data = {}
|
||||
all_data[1] = {'当月': [{'车牌':k[0],'销售':g['销售'],'部门':g['部门'],'额':g['奖金']}
|
||||
for k,g in G[1].items() if g['奖金'] > 0]}
|
||||
|
||||
for m in range(2, 7):
|
||||
if m not in G: continue
|
||||
data_m, G[m] = calc_month(m, G, all_data, G[m-1], G[m])
|
||||
|
||||
vehicle_payments, vehicle_info = collect_vehicle_payments(G, all_data)
|
||||
master_vehicles = read_master_vehicles()
|
||||
|
||||
# Loss data
|
||||
loss_data = {}
|
||||
for m in D:
|
||||
ld = read_loss_data(m)
|
||||
if ld:
|
||||
loss_data[m] = ld
|
||||
else:
|
||||
from collections import defaultdict as dd
|
||||
ld_tmp = dd(lambda: '否')
|
||||
for r in D[m]:
|
||||
c = r.get('客户名称')
|
||||
if c: ld_tmp[c] = '否'
|
||||
loss_data[m] = ld_tmp
|
||||
|
||||
plate_client = get_vehicle_client_map(D)
|
||||
|
||||
all_persons = {}
|
||||
for m in G:
|
||||
for k, g in G[m].items():
|
||||
all_persons[g['销售']] = g['部门']
|
||||
|
||||
# Print summary
|
||||
settle_month = 6
|
||||
month_data = all_data[settle_month]
|
||||
total_6 = sum(sum(d['额'] for d in v) for v in month_data.values())
|
||||
print(f"\n6月考核应发: {total_6:.2f}")
|
||||
|
||||
# Generate核算 file
|
||||
print(f"\n生成 {settle_month}月核算文件...")
|
||||
wb = openpyxl.Workbook()
|
||||
ew.write_rules_sheet(wb)
|
||||
ew.write_detail_sheet(wb, D[settle_month], settle_month)
|
||||
ew.write_calc_process_generic(wb, settle_month, G, all_data)
|
||||
ew.write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_payments, vehicle_info, loss_data[settle_month], plate_client)
|
||||
|
||||
class _AllPass:
|
||||
def get(self, _k, _d=None): return '否'
|
||||
def __bool__(self): return True
|
||||
payment_records = ew.build_payment_records(settle_month, month_data, {m: _AllPass() for m in D}, plate_client)
|
||||
ew.write_payment_record_sheet(wb, settle_month, payment_records)
|
||||
ew.write_summary_from_records(wb, settle_month, payment_records)
|
||||
|
||||
for person in sorted(all_persons.keys()):
|
||||
ew.write_salesperson_sheet(wb, person, all_persons[person], settle_month, D, G, month_data, vehicle_payments)
|
||||
|
||||
if 'Sheet' in wb.sheetnames:
|
||||
del wb['Sheet']
|
||||
|
||||
calc_fp = os.path.join(OUT_DIR, '里程任务考核_6月核算.xlsx')
|
||||
wb.save(calc_fp)
|
||||
print(f"✅ 核算文件: {calc_fp}")
|
||||
|
||||
# ============================================================
|
||||
# Step 5: 离职转嫁 + 格式重建
|
||||
# ============================================================
|
||||
print("\n" + "=" * 60)
|
||||
print("Step 5: 离职转嫁 + 汇总格式重建")
|
||||
print("=" * 60)
|
||||
|
||||
RESIGNED = {'赵连飞', '伍仲文', '岑彦'}
|
||||
TRANSFERS = [
|
||||
('刘念念', '赵连飞', 2260.00),
|
||||
('钟祥', '伍仲文、岑彦', 180.00),
|
||||
]
|
||||
TRANSFER_TOTAL = sum(t[2] for t in TRANSFERS)
|
||||
TRANSFER_MAP = {'赵连飞': ('刘念念', 2260.00), '伍仲文': ('钟祥', 150.00), '岑彦': ('钟祥', 30.00)}
|
||||
|
||||
# Styles
|
||||
HEAD_FILL = PatternFill('solid', fgColor='4472C4')
|
||||
HEAD_FONT = Font(bold=True, color='FFFFFF', size=10, name='宋体')
|
||||
SUB_FILL = PatternFill('solid', fgColor='D9E1F2')
|
||||
TITLE_FNT = Font(bold=True, size=12, name='宋体')
|
||||
SECTION_FNT = Font(bold=True, size=11, name='宋体')
|
||||
NOTE_FNT = Font(size=10, color='C00000', name='宋体')
|
||||
NORM_FNT = Font(size=10, name='宋体')
|
||||
BOLD_FNT = Font(bold=True, size=10, name='宋体')
|
||||
THIN = Side('thin', color='B4B4B4')
|
||||
BORD = Border(THIN, THIN, THIN, THIN)
|
||||
CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
LL = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
|
||||
def hdr_row(ws, r, headers):
|
||||
for c, h in enumerate(headers, 1):
|
||||
cell = ws.cell(row=r, column=c, value=h)
|
||||
cell.font = HEAD_FONT; cell.fill = HEAD_FILL; cell.alignment = CC; cell.border = BORD
|
||||
|
||||
def data_row(ws, r, values, bold=False):
|
||||
for c, v in enumerate(values, 1):
|
||||
cell = ws.cell(row=r, column=c, value=v)
|
||||
cell.font = BOLD_FNT if bold else NORM_FNT; cell.alignment = CC; cell.border = BORD
|
||||
if isinstance(v, float): cell.number_format = '#,##0.00'
|
||||
|
||||
def sub_total(ws, r, values):
|
||||
for c, v in enumerate(values, 1):
|
||||
cell = ws.cell(row=r, column=c, value=v)
|
||||
cell.font = BOLD_FNT; cell.fill = SUB_FILL; cell.alignment = CC; cell.border = BORD
|
||||
if isinstance(v, float): cell.number_format = '#,##0.00'
|
||||
|
||||
# Parse existing summary
|
||||
ws_old = wb['6月汇总']
|
||||
person_dept = {}
|
||||
for r in range(1, ws_old.max_row + 1):
|
||||
v1 = str(ws_old.cell(row=r, column=1).value or '')
|
||||
if '6月最终发放（按销售人员）' in v1:
|
||||
for r2 in range(r+1, ws_old.max_row + 1):
|
||||
name = str(ws_old.cell(row=r2, column=1).value or '')
|
||||
dept = str(ws_old.cell(row=r2, column=2).value or '')
|
||||
if name == '合计': break
|
||||
if name and name != '销售人员' and dept:
|
||||
person_dept[name] = dept
|
||||
break
|
||||
|
||||
# Parse考核应发 subsections
|
||||
subsections = []
|
||||
current_title = None; current_rows = []
|
||||
for r in range(1, ws_old.max_row + 1):
|
||||
v1 = str(ws_old.cell(row=r, column=1).value or '')
|
||||
if v1.startswith('考核应发-'):
|
||||
if current_title and current_rows:
|
||||
subsections.append((current_title, current_rows))
|
||||
current_title = v1; current_rows = []
|
||||
continue
|
||||
if current_title:
|
||||
name = str(ws_old.cell(row=r, column=1).value or '')
|
||||
vehicles = ws_old.cell(row=r, column=2).value
|
||||
amount = ws_old.cell(row=r, column=3).value
|
||||
if name == '总计':
|
||||
subsections.append((current_title, current_rows))
|
||||
current_title = None; current_rows = []
|
||||
elif name and name != '销售人员':
|
||||
current_rows.append((name, vehicles, amount))
|
||||
|
||||
# Filter out resigned
|
||||
filtered_subsections = []
|
||||
grand_total = 0.0
|
||||
for title, rows in subsections:
|
||||
filtered = [(n, v, a) for (n, v, a) in rows if n not in RESIGNED]
|
||||
new_veh = sum(int(v or 0) for _, v, _ in filtered)
|
||||
new_amt = sum(float(a or 0) for _, _, a in filtered)
|
||||
grand_total += new_amt
|
||||
filtered_subsections.append((title, filtered, new_veh, new_amt))
|
||||
|
||||
# Aggregate最终发放
|
||||
person_data = defaultdict(lambda: {'vehicles': 0, 'amount': 0.0})
|
||||
for title, rows, _, _ in filtered_subsections:
|
||||
for name, vehicles, amount in rows:
|
||||
person_data[name]['vehicles'] += int(vehicles or 0)
|
||||
person_data[name]['amount'] += float(amount or 0)
|
||||
|
||||
for resigned, (receiver, amt) in TRANSFER_MAP.items():
|
||||
person_data[receiver]['amount'] += amt
|
||||
|
||||
for name in RESIGNED:
|
||||
person_data.pop(name, None)
|
||||
|
||||
final_total = sum(d['amount'] for d in person_data.values())
|
||||
|
||||
dept_order = ['业务二部', '业务三部', '业务五部', '业务六部']
|
||||
def sort_key(item):
|
||||
name = item[0]
|
||||
dept = person_dept.get(name, '')
|
||||
try: di = dept_order.index(dept)
|
||||
except: di = 99
|
||||
return (di, name)
|
||||
|
||||
sorted_persons = sorted(person_data.items(), key=sort_key)
|
||||
|
||||
dept_totals = defaultdict(float)
|
||||
for name, data in sorted_persons:
|
||||
dept = person_dept.get(name, '')
|
||||
dept_totals[dept] += data['amount']
|
||||
|
||||
# Rebuild 6月汇总 sheet
|
||||
ws = wb['6月汇总']
|
||||
ws.delete_rows(1, ws.max_row)
|
||||
rn = 1
|
||||
|
||||
# 一、考核应发明细
|
||||
ws.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=3)
|
||||
ws.cell(row=rn, column=1, value='一、考核应发明细').font = TITLE_FNT
|
||||
rn += 2
|
||||
|
||||
for title, rows, total_veh, total_amt in filtered_subsections:
|
||||
ws.cell(row=rn, column=1, value=title).font = SECTION_FNT
|
||||
rn += 1
|
||||
hdr_row(ws, rn, ['销售人员', '车辆数', '金额'])
|
||||
rn += 1
|
||||
sorted_rows = sorted(rows, key=lambda x: sort_key((x[0],)) if x[0] in person_dept else (99, x[0]))
|
||||
for name, vehicles, amount in sorted_rows:
|
||||
data_row(ws, rn, [name, vehicles, round(float(amount or 0), 2)])
|
||||
rn += 1
|
||||
sub_total(ws, rn, ['总计', total_veh, round(total_amt, 2)])
|
||||
rn += 2
|
||||
|
||||
ws.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=2)
|
||||
ws.cell(row=rn, column=1, value='考核应发合计').font = BOLD_FNT
|
||||
ws.cell(row=rn, column=1).alignment = CC
|
||||
ws.cell(row=rn, column=3, value=round(grand_total, 2)).font = BOLD_FNT
|
||||
ws.cell(row=rn, column=3).alignment = CC; ws.cell(row=rn, column=3).number_format = '#,##0.00'
|
||||
for c in range(1, 4):
|
||||
ws.cell(row=rn, column=c).border = BORD; ws.cell(row=rn, column=c).fill = SUB_FILL
|
||||
rn += 2
|
||||
|
||||
# 二、离职人员转嫁收入
|
||||
ws.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=3)
|
||||
ws.cell(row=rn, column=1, value='二、离职人员转嫁收入').font = TITLE_FNT
|
||||
rn += 1
|
||||
hdr_row(ws, rn, ['接收人', '来源', '转嫁金额'])
|
||||
rn += 1
|
||||
for receiver, source, amt in TRANSFERS:
|
||||
data_row(ws, rn, [receiver, source, amt]); rn += 1
|
||||
sub_total(ws, rn, ['合计', '', TRANSFER_TOTAL]); rn += 2
|
||||
|
||||
# 三、最终发放
|
||||
ws.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=3)
|
||||
ws.cell(row=rn, column=1, value='三、最终发放').font = TITLE_FNT
|
||||
rn += 2
|
||||
|
||||
ws.cell(row=rn, column=1, value='最终发放明细').font = SECTION_FNT; rn += 1
|
||||
hdr_row(ws, rn, ['销售人员', '车辆数', '金额']); rn += 1
|
||||
for name, data in sorted_persons:
|
||||
data_row(ws, rn, [name, data['vehicles'], round(data['amount'], 2)]); rn += 1
|
||||
sub_total(ws, rn, ['总计', sum(d['vehicles'] for _, d in sorted_persons), round(final_total, 2)]); rn += 2
|
||||
|
||||
ws.cell(row=rn, column=1, value='6月最终发放（按销售人员）').font = SECTION_FNT; rn += 1
|
||||
hdr_row(ws, rn, ['销售人员', '部门名称', '最终发放']); rn += 1
|
||||
for name, data in sorted_persons:
|
||||
dept = person_dept.get(name, '')
|
||||
data_row(ws, rn, [name, dept, round(data['amount'], 2)]); rn += 1
|
||||
sub_total(ws, rn, ['合计', '', round(final_total, 2)]); rn += 2
|
||||
|
||||
ws.cell(row=rn, column=1, value='6月最终发放（按部门）').font = SECTION_FNT; rn += 1
|
||||
hdr_row(ws, rn, ['部门名称', '最终发放', '']); rn += 1
|
||||
for dept in dept_order:
|
||||
if dept in dept_totals:
|
||||
data_row(ws, rn, [dept, round(dept_totals[dept], 2), '']); rn += 1
|
||||
sub_total(ws, rn, ['合计', round(sum(dept_totals.values()), 2), '']); rn += 2
|
||||
|
||||
# 总览
|
||||
ws.cell(row=rn, column=1, value='总览').font = SECTION_FNT; rn += 1
|
||||
data_row(ws, rn, ['考核应发', round(final_total, 2), '']); rn += 1
|
||||
data_row(ws, rn, ['亏损拦截', 0, '']); rn += 1
|
||||
data_row(ws, rn, ['最终发放', round(final_total, 2), '']); rn += 2
|
||||
|
||||
# 备注
|
||||
note = '备注：赵连飞（2026-04-30离职）、伍仲文（2026-05-09离职）、岑彦（2026-05-09离职）\n三人已从上述汇总中剔除，其6月当月达标奖金已转嫁至新销售；其余结转、补发、累计补发等一律不发了。'
|
||||
ws.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=3)
|
||||
ws.cell(row=rn, column=1, value=note).font = NOTE_FNT
|
||||
ws.cell(row=rn, column=1).alignment = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
ws.row_dimensions[rn].height = 36
|
||||
|
||||
# Column widths
|
||||
ws.column_dimensions['A'].width = 16
|
||||
ws.column_dimensions['B'].width = 18
|
||||
ws.column_dimensions['C'].width = 16
|
||||
|
||||
# Rename resigned sheets
|
||||
for old, new in [('二部-赵连飞','【已离职】二部-赵连飞'),('六部-伍仲文','【已离职】六部-伍仲文'),('六部-岑彦','【已离职】六部-岑彦')]:
|
||||
if old in wb.sheetnames:
|
||||
wb[old].title = new
|
||||
wb.move_sheet(new, offset=len(wb.sheetnames)-1-wb.sheetnames.index(new))
|
||||
|
||||
wb.save(calc_fp)
|
||||
print(f"✅ 核算文件(含转嫁): {calc_fp}")
|
||||
|
||||
# ============================================================
|
||||
# Step 6: 干预情况说明 (copy from existing)
|
||||
# ============================================================
|
||||
print("\n" + "=" * 60)
|
||||
print("Step 6: 干预情况说明")
|
||||
print("=" * 60)
|
||||
|
||||
old_interv = '租赁任务考核_2026年6月_干预情况说明.xlsx'
|
||||
if os.path.exists(old_interv):
|
||||
shutil.copy(old_interv, os.path.join(OUT_DIR, '租赁任务考核_2026年6月_干预情况说明.xlsx'))
|
||||
print(f"✅ 干预说明已复制")
|
||||
|
||||
# ============================================================
|
||||
# Step 7: 离职明细 (regenerate with new amounts)
|
||||
# ============================================================
|
||||
print("\n" + "=" * 60)
|
||||
print("Step 7: 离职人员处理明细")
|
||||
print("=" * 60)
|
||||
|
||||
# Collect resigned data from all_data[6]
|
||||
detail_records = []
|
||||
for ptype, items in month_data.items():
|
||||
for it in items:
|
||||
if it['销售'] not in RESIGNED: continue
|
||||
name = it['销售']
|
||||
amount = it['额']
|
||||
is_dangyue = (ptype == '当月')
|
||||
transfer_to = TRANSFER_MAP[name][0]
|
||||
handling = f'转{transfer_to}(需确认)' if is_dangyue else '不发了'
|
||||
transfer_disp = transfer_to if is_dangyue else '—'
|
||||
note_txt = '6月当月达标，转新销售' if is_dangyue else f'{ptype}，不发了'
|
||||
|
||||
client = ''; target_name = ''
|
||||
for r in D.get(6, []):
|
||||
if r['车牌号'] == it['车牌'] and r['销售经理'] == name:
|
||||
client = r.get('客户名称', ''); target_name = r.get('考核目标', '')
|
||||
break
|
||||
|
||||
g6 = G[6].get((it['车牌'], name))
|
||||
monthly_bonus = g6['奖励达标'] if g6 else 0
|
||||
days = g6['天数'] if g6 else ''
|
||||
|
||||
if ptype in ('当月', f'累计补发{settle_month}月', '结转'):
|
||||
loss_month = settle_month
|
||||
elif ptype.startswith('补发'):
|
||||
try: loss_month = int(ptype.replace('补发','').replace('月',''))
|
||||
except: loss_month = settle_month
|
||||
else: loss_month = settle_month
|
||||
|
||||
detail_records.append({
|
||||
'name': name, 'plate': it['车牌'], 'pay_type': ptype,
|
||||
'amount': amount, 'handling': handling, 'transfer': transfer_disp,
|
||||
'note': note_txt, 'client': client, 'loss_month': loss_month,
|
||||
'loss_status': '否', 'monthly_bonus': monthly_bonus,
|
||||
'days': days, 'target': target_name,
|
||||
})
|
||||
|
||||
print(f"离职人员发放记录: {len(detail_records)} 条")
|
||||
|
||||
# Generate resignation workbook (simplified)
|
||||
wb_res = openpyxl.Workbook()
|
||||
|
||||
# Sheet 1: 总览
|
||||
ws1 = wb_res.active; ws1.title = '离职人员发放处理总览'
|
||||
ws1.merge_cells('A1:G1')
|
||||
ws1.cell(row=1, column=1, value='2026年6月核算 — 离职人员奖金处理方案').font = Font(bold=True, size=14, name='宋体')
|
||||
ws1.cell(row=1, column=1).alignment = CC
|
||||
ws1.row_dimensions[1].height = 30
|
||||
|
||||
ws1.merge_cells('A2:G2')
|
||||
ws1.cell(row=2, column=1, value='处理规则：仅6月当月达标奖金转给新接手的销售（需与其他部门确认是否发放）；其余结转、补发、累计补发等一律不发了。').font = NOTE_FNT
|
||||
ws1.cell(row=2, column=1).alignment = LL
|
||||
|
||||
r = 4
|
||||
for c, h in enumerate(['离职人员', '部门', '业务转嫁至', '不发了', '转新销售(需确认)', '原考核应发合计'], 1):
|
||||
ws1.cell(row=r, column=c, value=h)
|
||||
ws1.cell(row=r, column=c).font = HEAD_FONT; ws1.cell(row=r, column=c).fill = HEAD_FILL
|
||||
ws1.cell(row=r, column=c).alignment = CC; ws1.cell(row=r, column=c).border = BORD
|
||||
r += 1
|
||||
|
||||
dept_map = {'赵连飞': '业务二部', '伍仲文': '业务六部', '岑彦': '业务六部'}
|
||||
total_not = 0; total_trf = 0
|
||||
for name in ['赵连飞', '伍仲文', '岑彦']:
|
||||
recs = [p for p in detail_records if p['name'] == name]
|
||||
not_pay = sum(p['amount'] for p in recs if p['pay_type'] != '当月')
|
||||
transfer = sum(p['amount'] for p in recs if p['pay_type'] == '当月')
|
||||
total_not += not_pay; total_trf += transfer
|
||||
data_row(ws1, r, [name, dept_map[name], TRANSFER_MAP[name][0], round(not_pay,2), round(transfer,2), round(not_pay+transfer,2)])
|
||||
r += 1
|
||||
|
||||
sub_total(ws1, r, ['合计', '', '', round(total_not,2), round(total_trf,2), round(total_not+total_trf,2)])
|
||||
r += 2
|
||||
|
||||
ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=6)
|
||||
ws1.cell(row=r, column=1, value='转嫁接收方汇总（需与其他部门确认是否发放）').font = Font(bold=True, size=12, color='1F4E78')
|
||||
ws1.cell(row=r, column=1).alignment = CC; r += 1
|
||||
|
||||
for c, h in enumerate(['接收人', '来源离职人员', '转嫁金额', '备注'], 1):
|
||||
ws1.cell(row=r, column=c, value=h)
|
||||
ws1.cell(row=r, column=c).font = HEAD_FONT; ws1.cell(row=r, column=c).fill = HEAD_FILL
|
||||
ws1.cell(row=r, column=c).alignment = CC; ws1.cell(row=r, column=c).border = BORD
|
||||
r += 1
|
||||
|
||||
by_recv = defaultdict(lambda: {'sources':[], 'amt':0})
|
||||
for rec in detail_records:
|
||||
if rec['pay_type'] == '当月':
|
||||
t = rec['transfer']
|
||||
by_recv[t]['sources'].append(rec['name'])
|
||||
by_recv[t]['amt'] += rec['amount']
|
||||
|
||||
for receiver in ['刘念念', '钟祥']:
|
||||
d = by_recv[receiver]
|
||||
data_row(ws1, r, [receiver, '、'.join(sorted(set(d['sources']))), round(d['amt'],2), '需与相关部门确认是否发放给新销售'])
|
||||
r += 1
|
||||
|
||||
for i, w in enumerate([14, 22, 18, 18, 18, 18], 1):
|
||||
ws1.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# Sheet 2: 逐条明细
|
||||
ws2 = wb_res.create_sheet('发放明细(逐条)')
|
||||
ws2.merge_cells('A1:M1')
|
||||
ws2.cell(row=1, column=1, value='离职人员 — 6月考核应发逐条明细').font = Font(bold=True, size=14, name='宋体')
|
||||
ws2.cell(row=1, column=1).alignment = CC
|
||||
|
||||
dh = ['离职人员', '车牌号', '发放类型', '考核应发', '盈亏查询月', '客户名称', '客户盈亏', '处理方式', '转嫁接收人', '6月考核天数', '月度奖励', '考核目标', '备注']
|
||||
r2 = 3
|
||||
hdr_row(ws2, r2, dh); r2 += 1
|
||||
|
||||
name_order = ['赵连飞', '伍仲文', '岑彦']
|
||||
detail_records.sort(key=lambda x: (name_order.index(x['name']), 0 if x['pay_type']=='当月' else 1, x['plate']))
|
||||
|
||||
for i, rec in enumerate(detail_records):
|
||||
vals = [rec['name'], rec['plate'], rec['pay_type'], round(rec['amount'],2), f"{rec['loss_month']}月",
|
||||
rec['client'], rec['loss_status'], rec['handling'], rec['transfer'],
|
||||
rec['days'] if rec['days'] else '', rec['monthly_bonus'] if rec['monthly_bonus'] else '', rec['target'], rec['note']]
|
||||
data_row(ws2, r2, vals); ws2.row_dimensions[r2].height = 22; r2 += 1
|
||||
|
||||
sub_total(ws2, r2, ['', '', '合计', round(sum(r['amount'] for r in detail_records),2), '', '', '', '', '', '', '', '', ''])
|
||||
|
||||
for i, w in enumerate([10, 12, 14, 14, 10, 24, 8, 18, 14, 12, 10, 22, 28], 1):
|
||||
ws2.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# Personal sheets (3-5) + Transfer sheets (6-7) - simplified
|
||||
for name, title_txt, transfer_to in [
|
||||
('赵连飞', '赵连飞（2026-04-30离职，业务转→刘念念）', '刘念念'),
|
||||
('伍仲文', '伍仲文（2026-05-09离职，业务转→钟祥）', '钟祥'),
|
||||
('岑彦', '岑彦（2026-05-09离职，业务转→钟祥）', '钟祥'),
|
||||
]:
|
||||
ws = wb_res.create_sheet(name)
|
||||
ws.merge_cells('A1:K1')
|
||||
ws.cell(row=1, column=1, value=title_txt).font = Font(bold=True, size=14, name='宋体')
|
||||
ws.cell(row=1, column=1).alignment = CC
|
||||
|
||||
ph = ['车牌号', '发放类型', '考核应发', '盈亏查询月', '客户名称', '客户盈亏', '处理方式', '6月考核天数', '月度奖励', '考核目标', '备注']
|
||||
r3 = 3
|
||||
hdr_row(ws, r3, ph); r3 += 1
|
||||
|
||||
person_recs = [p for p in detail_records if p['name'] == name]
|
||||
for rec in person_recs:
|
||||
vals = [rec['plate'], rec['pay_type'], round(rec['amount'],2), f"{rec['loss_month']}月",
|
||||
rec['client'], rec['loss_status'], rec['handling'],
|
||||
rec['days'] if rec['days'] else '', rec['monthly_bonus'] if rec['monthly_bonus'] else '',
|
||||
rec['target'], rec['note']]
|
||||
data_row(ws, r3, vals); ws.row_dimensions[r3].height = 22; r3 += 1
|
||||
|
||||
dn = sum(p['amount'] for p in person_recs if p['pay_type']=='当月')
|
||||
ot = sum(p['amount'] for p in person_recs if p['pay_type']!='当月')
|
||||
sub_total(ws, r3, ['', '不发了小计', round(ot,2), '', '', '', '', '', '', '', '']); r3 += 1
|
||||
sub_total(ws, r3, ['', f'转{transfer_to}小计', round(dn,2), '', '', '', '', '', '', '', '需与其他部门确认']); r3 += 1
|
||||
sub_total(ws, r3, ['', '合计', round(dn+ot,2), '', '', '', '', '', '', '', ''])
|
||||
|
||||
for i, w in enumerate([12, 14, 14, 10, 26, 8, 18, 12, 10, 22, 30], 1):
|
||||
ws.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# Transfer detail sheets
|
||||
for title_txt, sources, receiver in [
|
||||
('转嫁至刘念念的奖金 — 来源：赵连飞(2026-04-30离职)', ['赵连飞'], '刘念念'),
|
||||
('转嫁至钟祥的奖金 — 来源：伍仲文(2026-05-09离职)、岑彦(2026-05-09离职)', ['伍仲文', '岑彦'], '钟祥'),
|
||||
]:
|
||||
ws = wb_res.create_sheet(f'转{receiver}明细')
|
||||
ws.merge_cells('A1:K1')
|
||||
ws.cell(row=1, column=1, value=title_txt).font = Font(bold=True, size=14, name='宋体')
|
||||
ws.cell(row=1, column=1).alignment = CC
|
||||
|
||||
ws.merge_cells('A2:K2')
|
||||
ws.cell(row=2, column=1, value='⚠ 以下金额需与其他部门确认是否可发放给新销售').font = NOTE_FNT
|
||||
ws.cell(row=2, column=1).alignment = LL
|
||||
|
||||
th = ['来源离职人员', '车牌号', '发放类型', '考核应发', '盈亏查询月', '客户名称', '客户盈亏', '6月考核天数', '月度奖励', '考核目标', '备注']
|
||||
r4 = 4
|
||||
hdr_row(ws, r4, th); r4 += 1
|
||||
|
||||
trf_recs = [p for p in detail_records if p['name'] in sources and p['pay_type']=='当月']
|
||||
for rec in trf_recs:
|
||||
vals = [rec['name'], rec['plate'], '当月', round(rec['amount'],2), f"{rec['loss_month']}月",
|
||||
rec['client'], rec['loss_status'], rec['days'] if rec['days'] else '',
|
||||
rec['monthly_bonus'] if rec['monthly_bonus'] else '', rec['target'], '需确认是否发给新销售']
|
||||
data_row(ws, r4, vals); r4 += 1
|
||||
|
||||
sub_total(ws, r4, ['', '', '合计', round(sum(r['amount'] for r in trf_recs),2), '', '', '', '', '', '', ''])
|
||||
|
||||
for i, w in enumerate([14, 12, 14, 14, 10, 26, 8, 12, 10, 22, 22], 1):
|
||||
ws.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
resign_fp = os.path.join(OUT_DIR, '离职人员6月奖金处理明细.xlsx')
|
||||
wb_res.save(resign_fp)
|
||||
print(f"✅ 离职明细: {resign_fp}")
|
||||
|
||||
# ============================================================
|
||||
# Step 8: Summary
|
||||
# ============================================================
|
||||
print("\n" + "=" * 60)
|
||||
print("Step 8: 输出汇总")
|
||||
print("=" * 60)
|
||||
|
||||
files = os.listdir(OUT_DIR)
|
||||
for f in sorted(files):
|
||||
fp = os.path.join(OUT_DIR, f)
|
||||
size_kb = os.path.getsize(fp) / 1024
|
||||
print(f" {f} ({size_kb:.0f} KB)")
|
||||
|
||||
print(f"\n{'=' * 60}")
|
||||
print(f"6月考核应发: {total_6:.2f}")
|
||||
print(f"最终发放: {final_total:.2f}")
|
||||
print(f"全部文件已输出到 {OUT_DIR}/")
|
||||
print(f"{'=' * 60}")
|
||||
@@ -0,0 +1,281 @@
|
||||
#!/usr/bin/env python3
|
||||
"""生成6月干预情况说明"""
|
||||
import openpyxl, os, datetime
|
||||
from openpyxl.styles import Font, Alignment, Border, Side, PatternFill
|
||||
from openpyxl.utils import get_column_letter
|
||||
from collections import defaultdict
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
# ========== Styles ==========
|
||||
hdr_blue_font = Font(name='宋体', size=11, bold=True, color='FFFFFF')
|
||||
hdr_blue_fill = PatternFill(start_color='4472C4', end_color='4472C4', fill_type='solid')
|
||||
hdr_green_font = Font(name='宋体', size=11, bold=True, color='FFFFFF')
|
||||
hdr_green_fill = PatternFill(start_color='548235', end_color='548235', fill_type='solid')
|
||||
hdr_align = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
data_font = Font(name='宋体', size=10)
|
||||
data_align = Alignment(horizontal='center', vertical='center')
|
||||
title_font = Font(name='宋体', size=14, bold=True)
|
||||
subtitle_font = Font(name='宋体', size=10, bold=True)
|
||||
yellow_fill = PatternFill(start_color='FFFF00', end_color='FFFF00', fill_type='solid')
|
||||
light_yellow_fill = PatternFill(start_color='FFF2CC', end_color='FFF2CC', fill_type='solid')
|
||||
light_gray_fill = PatternFill(start_color='F2F2F2', end_color='F2F2F2', fill_type='solid')
|
||||
thin_border = Border(left=Side('thin'), right=Side('thin'), top=Side('thin'), bottom=Side('thin'))
|
||||
|
||||
def set_cell(ws, row, col, value, font=None, fill=None, align=None, border=None, num_fmt=None):
|
||||
cell = ws.cell(row=row, column=col, value=value)
|
||||
if font: cell.font = font
|
||||
if fill: cell.fill = fill
|
||||
if align: cell.alignment = align
|
||||
if border: cell.border = border
|
||||
if num_fmt: cell.number_format = num_fmt
|
||||
return cell
|
||||
|
||||
# ========== Read Data ==========
|
||||
src = openpyxl.load_workbook('租赁任务考核_2026年6月.xlsx', data_only=True)
|
||||
ws_src = src['业务考核视图']
|
||||
h_src = [c.value for c in next(ws_src.iter_rows(min_row=1, max_row=1))]
|
||||
all_recs = []
|
||||
for row in ws_src.iter_rows(min_row=2, values_only=True):
|
||||
r = dict(zip(h_src, row))
|
||||
if r['车牌号']:
|
||||
all_recs.append(r)
|
||||
src.close()
|
||||
|
||||
# Read test vehicle list
|
||||
fp_test = '/Users/kkfluous/Library/Containers/com.tencent.xinWeChat/Data/Documents/xwechat_files/wxid_1704407055112_3af8/temp/RWTemp/2026-07/65b41c10aa83cabb7a365b2b8437c1c7/6月测试车辆.xlsx'
|
||||
wb_test = openpyxl.load_workbook(fp_test, data_only=True)
|
||||
ws_test = wb_test.active
|
||||
test_rows = list(ws_test.iter_rows(min_row=1, values_only=True))
|
||||
test_plates = set()
|
||||
for row in test_rows[1:]:
|
||||
for ci in [0, 3, 6]:
|
||||
p = str(row[ci]).strip() if row[ci] else ''
|
||||
if p and p != 'None':
|
||||
test_plates.add(p)
|
||||
wb_test.close()
|
||||
|
||||
# Identify干预 records (test vehicles in source)
|
||||
intervention_recs = [r for r in all_recs if r['车牌号'] in test_plates]
|
||||
intervention_plates = set(r['车牌号'] for r in intervention_recs)
|
||||
|
||||
# Stats
|
||||
total_vehicles = len(set(r['车牌号'] for r in all_recs))
|
||||
total_records = len(all_recs)
|
||||
interv_vehicles = len(intervention_plates)
|
||||
interv_records = len(intervention_recs)
|
||||
total_actual = sum(float(r['实际行驶里程(km)'] or 0) for r in all_recs)
|
||||
total_tbox = sum(float(r['原TBOX里程(km)'] or 0) for r in all_recs)
|
||||
total_test = sum(float(r['测试里程(km)'] or 0) for r in all_recs)
|
||||
interv_actual = sum(float(r['实际行驶里程(km)'] or 0) for r in intervention_recs)
|
||||
interv_tbox = sum(float(r['原TBOX里程(km)'] or 0) for r in intervention_recs)
|
||||
interv_test = sum(float(r['测试里程(km)'] or 0) for r in intervention_recs)
|
||||
|
||||
# Flip analysis:达→未达标 (using GPS backup for original)
|
||||
bak = openpyxl.load_workbook('租赁任务考核_2026年6月_备份.xlsx', data_only=True)
|
||||
ws_bak = bak['业务考核视图']
|
||||
h_bak = [c.value for c in next(ws_bak.iter_rows(min_row=1, max_row=1))]
|
||||
bak_recs = {}
|
||||
for row in ws_bak.iter_rows(min_row=2, values_only=True):
|
||||
r = dict(zip(h_bak, row))
|
||||
if r['车牌号']:
|
||||
bak_recs[r['车牌号']] = r
|
||||
bak.close()
|
||||
|
||||
# For intervention vehicles: compare old达→new未达标
|
||||
flip_recs = [] # records that changed from达 to未达标
|
||||
for r in intervention_recs:
|
||||
plate = r['车牌号']
|
||||
old_rec = bak_recs.get(plate)
|
||||
if old_rec:
|
||||
old_q = old_rec.get('是否达标') == '达标'
|
||||
new_q = r['是否达标'] == '达标'
|
||||
if old_q and not new_q:
|
||||
flip_recs.append(r)
|
||||
|
||||
# Group flip by考核目标+部门+销售
|
||||
flip_by_target = defaultdict(lambda: defaultdict(lambda: defaultdict(int)))
|
||||
for r in flip_recs:
|
||||
target = r.get('考核目标', '未知')
|
||||
dept = r.get('部门名称', '')
|
||||
sales = r.get('销售经理', '')
|
||||
flip_by_target[target][dept][sales] += 1
|
||||
|
||||
# ========== Create Workbook ==========
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
# ===== Sheet 1: 测试与考核情况说明 =====
|
||||
ws1 = wb.active
|
||||
ws1.title = '测试与考核情况说明'
|
||||
|
||||
# Column widths
|
||||
for col, w in enumerate([4, 30, 18, 18, 18, 18, 18], 1):
|
||||
ws1.column_dimensions[get_column_letter(col)].width = w
|
||||
|
||||
rn = 1
|
||||
|
||||
# Title
|
||||
set_cell(ws1, rn, 1, '2026年6月 业务考核 — 测试与考核情况说明', title_font)
|
||||
ws1.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=5); rn += 1
|
||||
|
||||
# Subtitle
|
||||
set_cell(ws1, rn, 1, '6月业务考核车辆中，部分车辆当月存在测试行为（仪表盘里程 > GPS 实际行驶里程），其差额作为测试里程剥离，不参与考核',
|
||||
Font(name='宋体', size=10), light_yellow_fill)
|
||||
ws1.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=5); rn += 2
|
||||
|
||||
# Section 1: Stats
|
||||
set_cell(ws1, rn, 1, '一、6月业务考核与干预情况', subtitle_font); rn += 1
|
||||
|
||||
# Header
|
||||
for ci, h in enumerate(['项目', '6月业务考核车辆', '涉及测试的车辆', '占比'], 1):
|
||||
set_cell(ws1, rn, ci, h, hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
rn += 1
|
||||
|
||||
# Data rows
|
||||
stats = [
|
||||
('车辆数(辆)', total_vehicles, interv_vehicles),
|
||||
('产生考核记录数(条)', total_records, interv_records),
|
||||
('仪表盘里程(km)', round(total_tbox), round(interv_tbox)),
|
||||
('业务考核里程 GPS(km)', round(total_actual), round(interv_actual)),
|
||||
('测试里程(km)', round(total_test), round(interv_test)),
|
||||
]
|
||||
for label, all_v, interv_v in stats:
|
||||
ratio = interv_v / all_v if all_v else 0
|
||||
set_cell(ws1, rn, 1, label, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 2, all_v, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 3, interv_v, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 4, ratio, data_font, None, data_align, thin_border, '0.00%')
|
||||
rn += 1
|
||||
|
||||
rn += 2
|
||||
|
||||
# Section 2: Flip details
|
||||
set_cell(ws1, rn, 1, '二、干预车辆考核达标情况说明', subtitle_font); rn += 1
|
||||
flip_total = len(flip_recs)
|
||||
summary_text = f'共 {interv_records} 条考核记录涉及里程干预；替换为GPS里程后，共 {flip_total} 条考核车辆记录由"达标"转判为"未达标"。按车型分类如下'
|
||||
set_cell(ws1, rn, 1, summary_text, Font(name='宋体', size=10))
|
||||
ws1.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=5); rn += 2
|
||||
|
||||
# By target
|
||||
target_order = ['羚牛136辆4.5T冷链车', '羚牛100辆18T', '交投40辆4.5T普货', '交投190辆4.5T冷链车', '恒运50辆4.5T普货']
|
||||
for target in target_order:
|
||||
if target not in flip_by_target:
|
||||
continue
|
||||
dept_sales = flip_by_target[target]
|
||||
total_cnt = sum(sum(sales.values()) for sales in dept_sales.values())
|
||||
|
||||
set_cell(ws1, rn, 1, f'▎{target}（{total_cnt} 辆）', subtitle_font)
|
||||
ws1.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=5); rn += 1
|
||||
|
||||
# Header: dept | sales | count | dept | sales | count
|
||||
set_cell(ws1, rn, 1, '部门', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 2, '销售经理', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 3, '数量', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 4, '部门', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 5, '销售经理', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 6, '数量', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
rn += 1
|
||||
|
||||
# Collect all dept-sales-count tuples
|
||||
items = []
|
||||
for dept in sorted(dept_sales.keys()):
|
||||
for sales in sorted(dept_sales[dept].keys()):
|
||||
items.append((dept, sales, dept_sales[dept][sales]))
|
||||
|
||||
# Write in two columns
|
||||
mid = (len(items) + 1) // 2
|
||||
max_rows = max(mid, len(items) - mid)
|
||||
for i in range(max_rows):
|
||||
if i < mid:
|
||||
d1, s1, c1 = items[i]
|
||||
set_cell(ws1, rn, 1, d1, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 2, s1, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 3, c1, data_font, None, data_align, thin_border)
|
||||
else:
|
||||
for c in [1,2,3]:
|
||||
set_cell(ws1, rn, c, '', data_font, None, data_align, thin_border)
|
||||
|
||||
if i + mid < len(items):
|
||||
d2, s2, c2 = items[i + mid]
|
||||
set_cell(ws1, rn, 4, d2, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 5, s2, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 6, c2, data_font, None, data_align, thin_border)
|
||||
else:
|
||||
for c in [4,5,6]:
|
||||
set_cell(ws1, rn, c, '', data_font, None, data_align, thin_border)
|
||||
rn += 1
|
||||
rn += 1
|
||||
|
||||
rn += 1
|
||||
|
||||
# Section 3: Column source explanation
|
||||
set_cell(ws1, rn, 1, '三、里程三列数据来源说明', subtitle_font); rn += 1
|
||||
set_cell(ws1, rn, 1, '列', hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 2, '字段名', hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 3, '数据来源', hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 4, '说明', hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
rn += 1
|
||||
|
||||
col_descs = [
|
||||
('P', '实际行驶里程(km)', 'GPS 轨迹还原', '基于 G7 GPS 定位轨迹按考核期逐日汇总计算的运营里程（total_mileage/100000=km），本月里程考核以此列为准'),
|
||||
('O', '原TBOX里程(km)', '车辆 T-Box / 仪表盘读数', '当月仪表总里程（业务系统原始数据），含运营+测试+调试里程。仅干预车辆填充，非干预车辆为空'),
|
||||
('Q', '测试里程(km)', 'O − P（原TBOX − GPS，差额）', '仪表盘跑了但 GPS 未记录到的部分，判定为厂内测试/调试/路试等非运营里程，不计入考核。仅干预车辆填充，非干预车辆为0'),
|
||||
]
|
||||
for col_letter, name, source, desc in col_descs:
|
||||
set_cell(ws1, rn, 1, col_letter, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 2, name, data_font, None, Alignment(horizontal='left', vertical='center'), thin_border)
|
||||
set_cell(ws1, rn, 3, source, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 4, desc, data_font, None, Alignment(horizontal='left', vertical='center', wrap_text=True), thin_border)
|
||||
ws1.row_dimensions[rn].height = 40
|
||||
rn += 1
|
||||
|
||||
# ===== Sheet 2: 业务考核视图 (full data,干预标黄) =====
|
||||
ws2 = wb.create_sheet('业务考核视图')
|
||||
target_order = ['车牌号','考核年份','考核月份','部门名称','销售经理','客户名称','合同编号','项目名称',
|
||||
'考核目标ID','考核目标','考核开始日期','考核结束日期','考核天数','应考核里程(km)',
|
||||
'原TBOX里程(km)','实际行驶里程(km)','测试里程(km)','完成率(%)','是否达标','考核状态',
|
||||
'交车日期','预计还车日期','实际还车日期']
|
||||
|
||||
for ci, name in enumerate(target_order, 1):
|
||||
set_cell(ws2, 1, ci, name, hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
|
||||
for ri, r in enumerate(all_recs, 2):
|
||||
is_interv = r['车牌号'] in intervention_plates
|
||||
for ci, name in enumerate(target_order, 1):
|
||||
val = r.get(name)
|
||||
set_cell(ws2, ri, ci, val, data_font, yellow_fill if is_interv else None, data_align, thin_border)
|
||||
|
||||
for col, w in enumerate([12,8,8,12,10,26,18,22,10,22,13,12,10,14,16,14,14,12,10,8,12,12,12], 1):
|
||||
ws2.column_dimensions[get_column_letter(col)].width = w
|
||||
|
||||
# ===== Sheet 3: 6月业务考核车辆总览 =====
|
||||
ws3 = wb.create_sheet('6月业务考核车辆总览')
|
||||
for ci, name in enumerate(target_order, 1):
|
||||
set_cell(ws3, 1, ci, name, hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
for ri, r in enumerate(all_recs, 2):
|
||||
for ci, name in enumerate(target_order, 1):
|
||||
set_cell(ws3, ri, ci, r.get(name), data_font, None, data_align, thin_border)
|
||||
for col, w in enumerate([12,8,8,12,10,26,18,22,10,22,13,12,10,14,16,14,14,12,10,8,12,12,12], 1):
|
||||
ws3.column_dimensions[get_column_letter(col)].width = w
|
||||
|
||||
# ===== Sheet 4: 涉及测试的业务考核车辆 =====
|
||||
ws4 = wb.create_sheet('涉及测试的业务考核车辆')
|
||||
for ci, name in enumerate(target_order, 1):
|
||||
set_cell(ws4, 1, ci, name, hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
for ri, r in enumerate(intervention_recs, 2):
|
||||
for ci, name in enumerate(target_order, 1):
|
||||
set_cell(ws4, ri, ci, r.get(name), data_font, yellow_fill, data_align, thin_border)
|
||||
for col, w in enumerate([12,8,8,12,10,26,18,22,10,22,13,12,10,14,16,14,14,12,10,8,12,12,12], 1):
|
||||
ws4.column_dimensions[get_column_letter(col)].width = w
|
||||
|
||||
# ========== Save ==========
|
||||
out = '租赁任务考核_2026年6月_干预情况说明.xlsx'
|
||||
wb.save(out)
|
||||
print(f'✅ {out}')
|
||||
print(f'\n概况:')
|
||||
print(f' 全量: {total_vehicles}辆, {total_records}条')
|
||||
print(f' 干预: {interv_vehicles}辆, {interv_records}条')
|
||||
print(f' 达→未达标: {flip_total}条')
|
||||
print(f' 仪表盘里程: {total_tbox:.0f} (干预{interv_tbox:.0f})')
|
||||
print(f' GPS里程: {total_actual:.0f} (干预{interv_actual:.0f})')
|
||||
print(f' 测试里程: {total_test:.0f} (干预{interv_test:.0f})')
|
||||
@@ -0,0 +1,393 @@
|
||||
#!/usr/bin/env python3
|
||||
"""生成 离职人员7月奖金处理明细 — 当月转嫁，其他不发了（18T: 1000/0/1000/1000）"""
|
||||
import os, openpyxl, warnings
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
from collections import defaultdict
|
||||
from calc_engine import *
|
||||
|
||||
warnings.filterwarnings('ignore')
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
JULY_SOURCE = os.environ.get('JULY_SOURCE', '7月核算结果/租赁任务考核_2026年7月.xlsx')
|
||||
JULY_OUTPUT_DIR = os.environ.get('JULY_OUTPUT_DIR', '7月核算结果')
|
||||
|
||||
# ── Full calc (same as main.py) ──
|
||||
print("读取源数据...")
|
||||
D = {}
|
||||
for m in range(1, 8):
|
||||
fp = JULY_SOURCE if m == 7 else f'租赁任务考核_2026年{m}月.xlsx'
|
||||
if os.path.exists(fp):
|
||||
D[m] = read_file(fp, m)
|
||||
print(f" {m}月: {len(D[m])}条")
|
||||
|
||||
G = {m: grp(D[m], m) for m in D}
|
||||
calc_jan_carryover(G[1])
|
||||
all_data = {}
|
||||
all_data[1] = {'当月': [{'车牌': k[0], '销售': g['销售'], '部门': g['部门'], '额': g['奖金']}
|
||||
for k, g in G[1].items() if g['奖金'] > 0]}
|
||||
|
||||
for m in range(2, 8):
|
||||
if m not in G:
|
||||
continue
|
||||
data_m, G[m] = calc_month(m, G, all_data, G[m-1], G[m])
|
||||
|
||||
# ── Resignation config ──
|
||||
RESIGNATIONS = {
|
||||
'赵连飞': {'dept': '业务二部', 'transfer_to': '刘念念'},
|
||||
'伍仲文': {'dept': '业务六部', 'transfer_to': '钟祥'},
|
||||
'岑彦': {'dept': '业务六部', 'transfer_to': '钟祥'},
|
||||
'钱婧': {'dept': '业务三部', 'transfer_to': '—'},
|
||||
}
|
||||
resigned = set(RESIGNATIONS.keys())
|
||||
settle_month = 7
|
||||
month_data = all_data[settle_month]
|
||||
|
||||
# ── Collect resigned payments from all_data[6] ──
|
||||
detail_records = []
|
||||
for ptype, items in month_data.items():
|
||||
for it in items:
|
||||
if it['销售'] not in resigned:
|
||||
continue
|
||||
name = it['销售']
|
||||
amount = it['额']
|
||||
is_dangyue = (ptype == '当月')
|
||||
transfer_to = RESIGNATIONS[name]['transfer_to']
|
||||
handling = f'转{transfer_to}(需确认)' if is_dangyue else '不发了'
|
||||
transfer_disp = transfer_to if is_dangyue else '—'
|
||||
note = '7月当月奖金，转新销售' if is_dangyue else f'{ptype}，不发了'
|
||||
|
||||
# Get client info from D[6]
|
||||
client = ''
|
||||
target_name = ''
|
||||
for r in D.get(settle_month, []):
|
||||
if r['车牌号'] == it['车牌'] and r['销售经理'] == name:
|
||||
client = r.get('客户名称', '')
|
||||
target_name = r.get('考核目标', '')
|
||||
break
|
||||
|
||||
# Get group info
|
||||
g6 = G[settle_month].get((it['车牌'], name))
|
||||
monthly_bonus = g6['奖励达标'] if g6 else 0
|
||||
days = g6['天数'] if g6 else ''
|
||||
|
||||
# 盈亏查询月
|
||||
if ptype == '当月' or ptype == f'累计补发{settle_month}月':
|
||||
loss_month = settle_month
|
||||
elif ptype == '结转':
|
||||
loss_month = settle_month
|
||||
elif ptype.startswith('补发'):
|
||||
try:
|
||||
loss_month = int(ptype.replace('补发', '').replace('月', ''))
|
||||
except:
|
||||
loss_month = settle_month
|
||||
else:
|
||||
loss_month = settle_month
|
||||
|
||||
detail_records.append({
|
||||
'name': name, 'plate': it['车牌'], 'pay_type': ptype,
|
||||
'amount': amount, 'handling': handling, 'transfer': transfer_disp,
|
||||
'note': note, 'client': client, 'loss_month': loss_month,
|
||||
'loss_status': '否', 'monthly_bonus': monthly_bonus,
|
||||
'days': days, 'target': target_name,
|
||||
})
|
||||
|
||||
print(f"离职人员发放记录: {len(detail_records)} 条")
|
||||
|
||||
# ── Styles ──
|
||||
HEAD_FILL = PatternFill('solid', fgColor='4472C4')
|
||||
HEAD_FONT = Font(bold=True, color='FFFFFF', size=10)
|
||||
SUB_FILL = PatternFill('solid', fgColor='D9E1F2')
|
||||
ALT_FILL = PatternFill('solid', fgColor='F2F2F2')
|
||||
TITLE_FNT = Font(bold=True, size=14)
|
||||
NOTE_FNT = Font(size=10, color='C00000')
|
||||
NORM_FNT = Font(size=10)
|
||||
BOLD_FNT = Font(bold=True, size=10)
|
||||
THIN = Side('thin', color='B4B4B4')
|
||||
BORD = Border(THIN, THIN, THIN, THIN)
|
||||
CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
LL = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
|
||||
def hdr(ws, r, nc):
|
||||
for c in range(1, nc+1):
|
||||
cell = ws.cell(row=r, column=c)
|
||||
cell.fill = HEAD_FILL; cell.font = HEAD_FONT; cell.alignment = CC; cell.border = BORD
|
||||
|
||||
def drw(ws, r, nc, alt=False):
|
||||
for c in range(1, nc+1):
|
||||
cell = ws.cell(row=r, column=c)
|
||||
cell.font = NORM_FNT; cell.alignment = CC; cell.border = BORD
|
||||
if alt: cell.fill = ALT_FILL
|
||||
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
# ═══════════════════════════════════════
|
||||
# Sheet 1: 离职人员发放处理总览
|
||||
# ═══════════════════════════════════════
|
||||
ws1 = wb.active
|
||||
ws1.title = '离职人员发放处理总览'
|
||||
|
||||
ws1.merge_cells('A1:G1')
|
||||
ws1.cell(row=1, column=1, value='2026年7月核算 — 离职人员奖金处理方案').font = TITLE_FNT
|
||||
ws1.cell(row=1, column=1).alignment = CC
|
||||
ws1.row_dimensions[1].height = 30
|
||||
|
||||
ws1.merge_cells('A2:G2')
|
||||
ws1.cell(row=2, column=1,
|
||||
value='处理规则：仅7月当月奖金转给新接手的销售（需与其他部门确认是否发放）；其余结转、补发、累计补发等一律不发了。').font = NOTE_FNT
|
||||
ws1.cell(row=2, column=1).alignment = LL
|
||||
ws1.row_dimensions[2].height = 22
|
||||
|
||||
r = 4
|
||||
oh = ['离职人员', '部门', '业务转嫁至', '不发了', '转新销售(需确认)', '原考核应发合计']
|
||||
for c, h in enumerate(oh, 1):
|
||||
ws1.cell(row=r, column=c, value=h)
|
||||
hdr(ws1, r, 6)
|
||||
r += 1
|
||||
|
||||
total_not = 0; total_trf = 0
|
||||
for name in ['赵连飞', '伍仲文', '岑彦', '钱婧']:
|
||||
info = RESIGNATIONS[name]
|
||||
recs = [p for p in detail_records if p['name'] == name]
|
||||
not_pay = sum(p['amount'] for p in recs if p['pay_type'] != '当月')
|
||||
transfer = sum(p['amount'] for p in recs if p['pay_type'] == '当月')
|
||||
total_not += not_pay; total_trf += transfer
|
||||
ws1.cell(row=r, column=1, value=name)
|
||||
ws1.cell(row=r, column=2, value=info['dept'])
|
||||
ws1.cell(row=r, column=3, value=info['transfer_to'])
|
||||
ws1.cell(row=r, column=4, value=round(not_pay, 2))
|
||||
ws1.cell(row=r, column=5, value=round(transfer, 2))
|
||||
ws1.cell(row=r, column=6, value=round(not_pay+transfer, 2))
|
||||
drw(ws1, r, 6)
|
||||
ws1.row_dimensions[r].height = 22
|
||||
r += 1
|
||||
|
||||
# 合计
|
||||
for c in range(1, 7):
|
||||
ws1.cell(row=r, column=c).fill = SUB_FILL
|
||||
ws1.cell(row=r, column=c).border = BORD
|
||||
ws1.cell(row=r, column=c).font = BOLD_FNT
|
||||
ws1.cell(row=r, column=c).alignment = CC
|
||||
ws1.cell(row=r, column=1, value='合计')
|
||||
ws1.cell(row=r, column=4, value=round(total_not, 2))
|
||||
ws1.cell(row=r, column=5, value=round(total_trf, 2))
|
||||
ws1.cell(row=r, column=6, value=round(total_not+total_trf, 2))
|
||||
|
||||
r += 2
|
||||
ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=6)
|
||||
ws1.cell(row=r, column=1, value='转嫁接收方汇总（需与其他部门确认是否发放）').font = Font(bold=True, size=12, color='1F4E78')
|
||||
ws1.cell(row=r, column=1).alignment = CC
|
||||
r += 1
|
||||
|
||||
for c, hh in enumerate(['接收人', '来源离职人员', '转嫁金额', '备注'], 1):
|
||||
ws1.cell(row=r, column=c, value=hh)
|
||||
hdr(ws1, r, 4)
|
||||
r += 1
|
||||
|
||||
by_recv = defaultdict(lambda: {'sources':[], 'amt':0})
|
||||
for rec in detail_records:
|
||||
if rec['pay_type'] == '当月':
|
||||
t = rec['transfer']
|
||||
by_recv[t]['sources'].append(rec['name'])
|
||||
by_recv[t]['amt'] += rec['amount']
|
||||
|
||||
for receiver in ['刘念念', '钟祥']:
|
||||
d = by_recv[receiver]
|
||||
ws1.cell(row=r, column=1, value=receiver)
|
||||
ws1.cell(row=r, column=2, value='、'.join(sorted(set(d['sources']))))
|
||||
ws1.cell(row=r, column=3, value=round(d['amt'], 2))
|
||||
ws1.cell(row=r, column=4, value='需与相关部门确认是否发放给新销售')
|
||||
drw(ws1, r, 4)
|
||||
r += 1
|
||||
|
||||
for i, w in enumerate([14, 22, 18, 18, 18, 18], 1):
|
||||
ws1.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ═══════════════════════════════════════
|
||||
# Sheet 2: 发放明细(逐条)
|
||||
# ═══════════════════════════════════════
|
||||
ws2 = wb.create_sheet('发放明细(逐条)')
|
||||
ws2.merge_cells('A1:M1')
|
||||
ws2.cell(row=1, column=1, value='离职人员 — 7月考核应发逐条明细').font = TITLE_FNT
|
||||
ws2.cell(row=1, column=1).alignment = CC
|
||||
ws2.row_dimensions[1].height = 28
|
||||
|
||||
dh = ['离职人员', '车牌号', '发放类型', '考核应发', '盈亏查询月', '客户名称',
|
||||
'客户盈亏', '处理方式', '转嫁接收人', '7月考核天数', '月度奖励', '考核目标', '备注']
|
||||
r2 = 3
|
||||
for c, h in enumerate(dh, 1):
|
||||
ws2.cell(row=r2, column=c, value=h)
|
||||
hdr(ws2, r2, 13)
|
||||
r2 += 1
|
||||
|
||||
name_order = ['赵连飞', '伍仲文', '岑彦', '钱婧']
|
||||
detail_records.sort(key=lambda x: (name_order.index(x['name']), 0 if x['pay_type']=='当月' else 1, x['plate']))
|
||||
|
||||
for i, rec in enumerate(detail_records):
|
||||
ws2.cell(row=r2, column=1, value=rec['name'])
|
||||
ws2.cell(row=r2, column=2, value=rec['plate'])
|
||||
ws2.cell(row=r2, column=3, value=rec['pay_type'])
|
||||
ws2.cell(row=r2, column=4, value=round(rec['amount'], 2))
|
||||
ws2.cell(row=r2, column=5, value=f"{rec['loss_month']}月")
|
||||
ws2.cell(row=r2, column=6, value=rec['client'])
|
||||
ws2.cell(row=r2, column=7, value=rec['loss_status'])
|
||||
ws2.cell(row=r2, column=8, value=rec['handling'])
|
||||
ws2.cell(row=r2, column=9, value=rec['transfer'])
|
||||
ws2.cell(row=r2, column=10, value=rec['days'] if rec['days'] else '')
|
||||
ws2.cell(row=r2, column=11, value=rec['monthly_bonus'] if rec['monthly_bonus'] else '')
|
||||
ws2.cell(row=r2, column=12, value=rec['target'])
|
||||
ws2.cell(row=r2, column=13, value=rec['note'])
|
||||
drw(ws2, r2, 13, alt=(i%2==1))
|
||||
ws2.row_dimensions[r2].height = 22
|
||||
r2 += 1
|
||||
|
||||
# 合计行
|
||||
ws2.cell(row=r2, column=3, value='合计')
|
||||
ws2.cell(row=r2, column=4, value=round(sum(r['amount'] for r in detail_records), 2))
|
||||
for c in range(1, 14):
|
||||
ws2.cell(row=r2, column=c).fill = SUB_FILL
|
||||
ws2.cell(row=r2, column=c).border = BORD
|
||||
ws2.cell(row=r2, column=c).font = BOLD_FNT
|
||||
ws2.cell(row=r2, column=c).alignment = CC
|
||||
|
||||
for i, w in enumerate([10, 12, 14, 14, 10, 24, 8, 18, 14, 12, 10, 22, 28], 1):
|
||||
ws2.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ═══════════════════════════════════════
|
||||
# Sheets 3-5: 个人明细
|
||||
# ═══════════════════════════════════════
|
||||
for name, title_txt, transfer_to in [
|
||||
('赵连飞', '赵连飞（2026-04-30离职，业务转→刘念念）', '刘念念'),
|
||||
('伍仲文', '伍仲文（2026-05-09离职，业务转→钟祥）', '钟祥'),
|
||||
('岑彦', '岑彦（2026-05-09离职，业务转→钟祥）', '钟祥'),
|
||||
('钱婧', '钱婧（已离职，所有奖金不再发放）', '—'),
|
||||
]:
|
||||
ws = wb.create_sheet(name)
|
||||
ws.merge_cells('A1:K1')
|
||||
ws.cell(row=1, column=1, value=title_txt).font = TITLE_FNT
|
||||
ws.cell(row=1, column=1).alignment = CC
|
||||
ws.row_dimensions[1].height = 28
|
||||
|
||||
ph = ['车牌号', '发放类型', '考核应发', '盈亏查询月', '客户名称', '客户盈亏',
|
||||
'处理方式', '7月考核天数', '月度奖励', '考核目标', '备注']
|
||||
r3 = 3
|
||||
for c, h in enumerate(ph, 1):
|
||||
ws.cell(row=r3, column=c, value=h)
|
||||
hdr(ws, r3, 11)
|
||||
r3 += 1
|
||||
|
||||
person_recs = [p for p in detail_records if p['name'] == name]
|
||||
dangyue_recs = [p for p in person_recs if p['pay_type'] == '当月']
|
||||
other_recs = [p for p in person_recs if p['pay_type'] != '当月']
|
||||
|
||||
for i, rec in enumerate(person_recs):
|
||||
h_disp = rec['handling']
|
||||
ws.cell(row=r3, column=1, value=rec['plate'])
|
||||
ws.cell(row=r3, column=2, value=rec['pay_type'])
|
||||
ws.cell(row=r3, column=3, value=round(rec['amount'], 2))
|
||||
ws.cell(row=r3, column=4, value=f"{rec['loss_month']}月")
|
||||
ws.cell(row=r3, column=5, value=rec['client'])
|
||||
ws.cell(row=r3, column=6, value=rec['loss_status'])
|
||||
ws.cell(row=r3, column=7, value=h_disp)
|
||||
ws.cell(row=r3, column=8, value=rec['days'] if rec['days'] else '')
|
||||
ws.cell(row=r3, column=9, value=rec['monthly_bonus'] if rec['monthly_bonus'] else '')
|
||||
ws.cell(row=r3, column=10, value=rec['target'])
|
||||
ws.cell(row=r3, column=11, value=rec['note'])
|
||||
drw(ws, r3, 11, alt=(i%2==1))
|
||||
ws.row_dimensions[r3].height = 22
|
||||
r3 += 1
|
||||
|
||||
dn = sum(p['amount'] for p in dangyue_recs)
|
||||
ot = sum(p['amount'] for p in other_recs)
|
||||
gt = dn + ot
|
||||
|
||||
# 不发了小计
|
||||
ws.cell(row=r3, column=2, value='不发了小计').font = BOLD_FNT
|
||||
ws.cell(row=r3, column=3, value=round(ot, 2)).font = BOLD_FNT
|
||||
for c in range(1, 12):
|
||||
ws.cell(row=r3, column=c).fill = SUB_FILL; ws.cell(row=r3, column=c).border = BORD
|
||||
ws.cell(row=r3, column=2).alignment = CC; ws.cell(row=r3, column=3).alignment = CC
|
||||
r3 += 1
|
||||
|
||||
# 转嫁小计
|
||||
ws.cell(row=r3, column=2, value=f'转{transfer_to}小计').font = BOLD_FNT
|
||||
ws.cell(row=r3, column=3, value=round(dn, 2)).font = BOLD_FNT
|
||||
ws.cell(row=r3, column=11, value='需与其他部门确认').font = Font(size=9, color='C00000')
|
||||
for c in range(1, 12):
|
||||
ws.cell(row=r3, column=c).fill = SUB_FILL; ws.cell(row=r3, column=c).border = BORD
|
||||
ws.cell(row=r3, column=2).alignment = CC; ws.cell(row=r3, column=3).alignment = CC
|
||||
r3 += 1
|
||||
|
||||
# 合计
|
||||
ws.cell(row=r3, column=2, value='合计').font = BOLD_FNT
|
||||
ws.cell(row=r3, column=3, value=round(gt, 2)).font = BOLD_FNT
|
||||
for c in range(1, 12):
|
||||
ws.cell(row=r3, column=c).fill = SUB_FILL; ws.cell(row=r3, column=c).border = BORD
|
||||
ws.cell(row=r3, column=2).alignment = CC; ws.cell(row=r3, column=3).alignment = CC
|
||||
|
||||
for i, w in enumerate([12, 14, 14, 10, 26, 8, 18, 12, 10, 22, 30], 1):
|
||||
ws.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ═══════════════════════════════════════
|
||||
# Sheets 6-7: 转嫁明细
|
||||
# ═══════════════════════════════════════
|
||||
for title_txt, sources, receiver in [
|
||||
('转嫁至刘念念的奖金 — 来源：赵连飞(2026-04-30离职)', ['赵连飞'], '刘念念'),
|
||||
('转嫁至钟祥的奖金 — 来源：伍仲文(2026-05-09离职)、岑彦(2026-05-09离职)', ['伍仲文', '岑彦'], '钟祥'),
|
||||
]:
|
||||
ws = wb.create_sheet(f'转{receiver}明细')
|
||||
ws.merge_cells('A1:K1')
|
||||
ws.cell(row=1, column=1, value=title_txt).font = TITLE_FNT
|
||||
ws.cell(row=1, column=1).alignment = CC
|
||||
ws.row_dimensions[1].height = 28
|
||||
|
||||
ws.merge_cells('A2:K2')
|
||||
ws.cell(row=2, column=1, value='⚠ 以下金额需与其他部门确认是否可发放给新销售').font = NOTE_FNT
|
||||
ws.cell(row=2, column=1).alignment = LL
|
||||
|
||||
th = ['来源离职人员', '车牌号', '发放类型', '考核应发', '盈亏查询月', '客户名称',
|
||||
'客户盈亏', '7月考核天数', '月度奖励', '考核目标', '备注']
|
||||
r4 = 4
|
||||
for c, h in enumerate(th, 1):
|
||||
ws.cell(row=r4, column=c, value=h)
|
||||
hdr(ws, r4, 11)
|
||||
r4 += 1
|
||||
|
||||
trf_recs = [p for p in detail_records if p['name'] in sources and p['pay_type'] == '当月']
|
||||
for i, rec in enumerate(trf_recs):
|
||||
ws.cell(row=r4, column=1, value=rec['name'])
|
||||
ws.cell(row=r4, column=2, value=rec['plate'])
|
||||
ws.cell(row=r4, column=3, value='当月')
|
||||
ws.cell(row=r4, column=4, value=round(rec['amount'], 2))
|
||||
ws.cell(row=r4, column=5, value=f"{rec['loss_month']}月")
|
||||
ws.cell(row=r4, column=6, value=rec['client'])
|
||||
ws.cell(row=r4, column=7, value=rec['loss_status'])
|
||||
ws.cell(row=r4, column=8, value=rec['days'] if rec['days'] else '')
|
||||
ws.cell(row=r4, column=9, value=rec['monthly_bonus'] if rec['monthly_bonus'] else '')
|
||||
ws.cell(row=r4, column=10, value=rec['target'])
|
||||
ws.cell(row=r4, column=11, value='需确认是否发给新销售')
|
||||
drw(ws, r4, 11, alt=(i%2==1))
|
||||
ws.row_dimensions[r4].height = 22
|
||||
r4 += 1
|
||||
|
||||
ws.cell(row=r4, column=3, value='合计')
|
||||
ws.cell(row=r4, column=4, value=round(sum(r['amount'] for r in trf_recs), 2))
|
||||
for c in range(1, 12):
|
||||
ws.cell(row=r4, column=c).fill = SUB_FILL; ws.cell(row=r4, column=c).border = BORD
|
||||
ws.cell(row=r4, column=c).font = BOLD_FNT; ws.cell(row=r4, column=c).alignment = CC
|
||||
|
||||
for i, w in enumerate([14, 12, 14, 14, 10, 26, 8, 12, 10, 22, 22], 1):
|
||||
ws.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ── Save ──
|
||||
os.makedirs(JULY_OUTPUT_DIR, exist_ok=True)
|
||||
out = os.path.join(JULY_OUTPUT_DIR, '离职人员7月奖金处理明细.xlsx')
|
||||
wb.save(out)
|
||||
|
||||
print(f'\n✅ {out} ({len(wb.sheetnames)} sheets)')
|
||||
print(f'\n汇总:')
|
||||
for name in ['赵连飞', '伍仲文', '岑彦', '钱婧']:
|
||||
recs = [p for p in detail_records if p['name'] == name]
|
||||
not_pay = sum(p['amount'] for p in recs if p['pay_type'] != '当月')
|
||||
trf = sum(p['amount'] for p in recs if p['pay_type'] == '当月')
|
||||
print(f' {name}: 不发了={not_pay:.2f} 转{RESIGNATIONS[name]["transfer_to"]}={trf:.2f} 合计={not_pay+trf:.2f}')
|
||||
print(f' 总计: 不发了={total_not:.2f} 转新销售={total_trf:.2f}')
|
||||
@@ -0,0 +1,388 @@
|
||||
#!/usr/bin/env python3
|
||||
"""生成 离职人员6月奖金处理明细 — 当月转嫁，其他不发了（18T: 1000/0/1000/1000）"""
|
||||
import os, openpyxl, warnings
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
from collections import defaultdict
|
||||
from calc_engine import *
|
||||
|
||||
warnings.filterwarnings('ignore')
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
# ── Full calc (same as main.py) ──
|
||||
print("读取源数据...")
|
||||
D = {}
|
||||
for m in range(1, 7):
|
||||
fp = f'租赁任务考核_2026年{m}月.xlsx'
|
||||
if os.path.exists(fp):
|
||||
D[m] = read_file(fp, m)
|
||||
print(f" {m}月: {len(D[m])}条")
|
||||
|
||||
G = {m: grp(D[m], m) for m in D}
|
||||
calc_jan_carryover(G[1])
|
||||
all_data = {}
|
||||
all_data[1] = {'当月': [{'车牌': k[0], '销售': g['销售'], '部门': g['部门'], '额': g['奖金']}
|
||||
for k, g in G[1].items() if g['奖金'] > 0]}
|
||||
|
||||
for m in range(2, 7):
|
||||
if m not in G:
|
||||
continue
|
||||
data_m, G[m] = calc_month(m, G, all_data, G[m-1], G[m])
|
||||
|
||||
# ── Resignation config ──
|
||||
RESIGNATIONS = {
|
||||
'赵连飞': {'dept': '业务二部', 'transfer_to': '刘念念'},
|
||||
'伍仲文': {'dept': '业务六部', 'transfer_to': '钟祥'},
|
||||
'岑彦': {'dept': '业务六部', 'transfer_to': '钟祥'},
|
||||
}
|
||||
resigned = set(RESIGNATIONS.keys())
|
||||
settle_month = 6
|
||||
month_data = all_data[settle_month]
|
||||
|
||||
# ── Collect resigned payments from all_data[6] ──
|
||||
detail_records = []
|
||||
for ptype, items in month_data.items():
|
||||
for it in items:
|
||||
if it['销售'] not in resigned:
|
||||
continue
|
||||
name = it['销售']
|
||||
amount = it['额']
|
||||
is_dangyue = (ptype == '当月')
|
||||
transfer_to = RESIGNATIONS[name]['transfer_to']
|
||||
handling = f'转{transfer_to}(需确认)' if is_dangyue else '不发了'
|
||||
transfer_disp = transfer_to if is_dangyue else '—'
|
||||
note = '6月当月达标，转新销售' if is_dangyue else f'{ptype}，不发了'
|
||||
|
||||
# Get client info from D[6]
|
||||
client = ''
|
||||
target_name = ''
|
||||
for r in D.get(settle_month, []):
|
||||
if r['车牌号'] == it['车牌'] and r['销售经理'] == name:
|
||||
client = r.get('客户名称', '')
|
||||
target_name = r.get('考核目标', '')
|
||||
break
|
||||
|
||||
# Get group info
|
||||
g6 = G[settle_month].get((it['车牌'], name))
|
||||
monthly_bonus = g6['奖励达标'] if g6 else 0
|
||||
days = g6['天数'] if g6 else ''
|
||||
|
||||
# 盈亏查询月
|
||||
if ptype == '当月' or ptype == f'累计补发{settle_month}月':
|
||||
loss_month = settle_month
|
||||
elif ptype == '结转':
|
||||
loss_month = settle_month
|
||||
elif ptype.startswith('补发'):
|
||||
try:
|
||||
loss_month = int(ptype.replace('补发', '').replace('月', ''))
|
||||
except:
|
||||
loss_month = settle_month
|
||||
else:
|
||||
loss_month = settle_month
|
||||
|
||||
detail_records.append({
|
||||
'name': name, 'plate': it['车牌'], 'pay_type': ptype,
|
||||
'amount': amount, 'handling': handling, 'transfer': transfer_disp,
|
||||
'note': note, 'client': client, 'loss_month': loss_month,
|
||||
'loss_status': '否', 'monthly_bonus': monthly_bonus,
|
||||
'days': days, 'target': target_name,
|
||||
})
|
||||
|
||||
print(f"离职人员发放记录: {len(detail_records)} 条")
|
||||
|
||||
# ── Styles ──
|
||||
HEAD_FILL = PatternFill('solid', fgColor='4472C4')
|
||||
HEAD_FONT = Font(bold=True, color='FFFFFF', size=10)
|
||||
SUB_FILL = PatternFill('solid', fgColor='D9E1F2')
|
||||
ALT_FILL = PatternFill('solid', fgColor='F2F2F2')
|
||||
TITLE_FNT = Font(bold=True, size=14)
|
||||
NOTE_FNT = Font(size=10, color='C00000')
|
||||
NORM_FNT = Font(size=10)
|
||||
BOLD_FNT = Font(bold=True, size=10)
|
||||
THIN = Side('thin', color='B4B4B4')
|
||||
BORD = Border(THIN, THIN, THIN, THIN)
|
||||
CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
LL = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
|
||||
def hdr(ws, r, nc):
|
||||
for c in range(1, nc+1):
|
||||
cell = ws.cell(row=r, column=c)
|
||||
cell.fill = HEAD_FILL; cell.font = HEAD_FONT; cell.alignment = CC; cell.border = BORD
|
||||
|
||||
def drw(ws, r, nc, alt=False):
|
||||
for c in range(1, nc+1):
|
||||
cell = ws.cell(row=r, column=c)
|
||||
cell.font = NORM_FNT; cell.alignment = CC; cell.border = BORD
|
||||
if alt: cell.fill = ALT_FILL
|
||||
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
# ═══════════════════════════════════════
|
||||
# Sheet 1: 离职人员发放处理总览
|
||||
# ═══════════════════════════════════════
|
||||
ws1 = wb.active
|
||||
ws1.title = '离职人员发放处理总览'
|
||||
|
||||
ws1.merge_cells('A1:G1')
|
||||
ws1.cell(row=1, column=1, value='2026年6月核算 — 离职人员奖金处理方案').font = TITLE_FNT
|
||||
ws1.cell(row=1, column=1).alignment = CC
|
||||
ws1.row_dimensions[1].height = 30
|
||||
|
||||
ws1.merge_cells('A2:G2')
|
||||
ws1.cell(row=2, column=1,
|
||||
value='处理规则：仅6月当月达标奖金转给新接手的销售（需与其他部门确认是否发放）；其余结转、补发、累计补发等一律不发了。').font = NOTE_FNT
|
||||
ws1.cell(row=2, column=1).alignment = LL
|
||||
ws1.row_dimensions[2].height = 22
|
||||
|
||||
r = 4
|
||||
oh = ['离职人员', '部门', '业务转嫁至', '不发了', '转新销售(需确认)', '原考核应发合计']
|
||||
for c, h in enumerate(oh, 1):
|
||||
ws1.cell(row=r, column=c, value=h)
|
||||
hdr(ws1, r, 6)
|
||||
r += 1
|
||||
|
||||
total_not = 0; total_trf = 0
|
||||
for name in ['赵连飞', '伍仲文', '岑彦']:
|
||||
info = RESIGNATIONS[name]
|
||||
recs = [p for p in detail_records if p['name'] == name]
|
||||
not_pay = sum(p['amount'] for p in recs if p['pay_type'] != '当月')
|
||||
transfer = sum(p['amount'] for p in recs if p['pay_type'] == '当月')
|
||||
total_not += not_pay; total_trf += transfer
|
||||
ws1.cell(row=r, column=1, value=name)
|
||||
ws1.cell(row=r, column=2, value=info['dept'])
|
||||
ws1.cell(row=r, column=3, value=info['transfer_to'])
|
||||
ws1.cell(row=r, column=4, value=round(not_pay, 2))
|
||||
ws1.cell(row=r, column=5, value=round(transfer, 2))
|
||||
ws1.cell(row=r, column=6, value=round(not_pay+transfer, 2))
|
||||
drw(ws1, r, 6)
|
||||
ws1.row_dimensions[r].height = 22
|
||||
r += 1
|
||||
|
||||
# 合计
|
||||
for c in range(1, 7):
|
||||
ws1.cell(row=r, column=c).fill = SUB_FILL
|
||||
ws1.cell(row=r, column=c).border = BORD
|
||||
ws1.cell(row=r, column=c).font = BOLD_FNT
|
||||
ws1.cell(row=r, column=c).alignment = CC
|
||||
ws1.cell(row=r, column=1, value='合计')
|
||||
ws1.cell(row=r, column=4, value=round(total_not, 2))
|
||||
ws1.cell(row=r, column=5, value=round(total_trf, 2))
|
||||
ws1.cell(row=r, column=6, value=round(total_not+total_trf, 2))
|
||||
|
||||
r += 2
|
||||
ws1.merge_cells(start_row=r, start_column=1, end_row=r, end_column=6)
|
||||
ws1.cell(row=r, column=1, value='转嫁接收方汇总（需与其他部门确认是否发放）').font = Font(bold=True, size=12, color='1F4E78')
|
||||
ws1.cell(row=r, column=1).alignment = CC
|
||||
r += 1
|
||||
|
||||
for c, hh in enumerate(['接收人', '来源离职人员', '转嫁金额', '备注'], 1):
|
||||
ws1.cell(row=r, column=c, value=hh)
|
||||
hdr(ws1, r, 4)
|
||||
r += 1
|
||||
|
||||
by_recv = defaultdict(lambda: {'sources':[], 'amt':0})
|
||||
for rec in detail_records:
|
||||
if rec['pay_type'] == '当月':
|
||||
t = rec['transfer']
|
||||
by_recv[t]['sources'].append(rec['name'])
|
||||
by_recv[t]['amt'] += rec['amount']
|
||||
|
||||
for receiver in ['刘念念', '钟祥']:
|
||||
d = by_recv[receiver]
|
||||
ws1.cell(row=r, column=1, value=receiver)
|
||||
ws1.cell(row=r, column=2, value='、'.join(sorted(set(d['sources']))))
|
||||
ws1.cell(row=r, column=3, value=round(d['amt'], 2))
|
||||
ws1.cell(row=r, column=4, value='需与相关部门确认是否发放给新销售')
|
||||
drw(ws1, r, 4)
|
||||
r += 1
|
||||
|
||||
for i, w in enumerate([14, 22, 18, 18, 18, 18], 1):
|
||||
ws1.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ═══════════════════════════════════════
|
||||
# Sheet 2: 发放明细(逐条)
|
||||
# ═══════════════════════════════════════
|
||||
ws2 = wb.create_sheet('发放明细(逐条)')
|
||||
ws2.merge_cells('A1:M1')
|
||||
ws2.cell(row=1, column=1, value='离职人员 — 6月考核应发逐条明细').font = TITLE_FNT
|
||||
ws2.cell(row=1, column=1).alignment = CC
|
||||
ws2.row_dimensions[1].height = 28
|
||||
|
||||
dh = ['离职人员', '车牌号', '发放类型', '考核应发', '盈亏查询月', '客户名称',
|
||||
'客户盈亏', '处理方式', '转嫁接收人', '6月考核天数', '月度奖励', '考核目标', '备注']
|
||||
r2 = 3
|
||||
for c, h in enumerate(dh, 1):
|
||||
ws2.cell(row=r2, column=c, value=h)
|
||||
hdr(ws2, r2, 13)
|
||||
r2 += 1
|
||||
|
||||
name_order = ['赵连飞', '伍仲文', '岑彦']
|
||||
detail_records.sort(key=lambda x: (name_order.index(x['name']), 0 if x['pay_type']=='当月' else 1, x['plate']))
|
||||
|
||||
for i, rec in enumerate(detail_records):
|
||||
ws2.cell(row=r2, column=1, value=rec['name'])
|
||||
ws2.cell(row=r2, column=2, value=rec['plate'])
|
||||
ws2.cell(row=r2, column=3, value=rec['pay_type'])
|
||||
ws2.cell(row=r2, column=4, value=round(rec['amount'], 2))
|
||||
ws2.cell(row=r2, column=5, value=f"{rec['loss_month']}月")
|
||||
ws2.cell(row=r2, column=6, value=rec['client'])
|
||||
ws2.cell(row=r2, column=7, value=rec['loss_status'])
|
||||
ws2.cell(row=r2, column=8, value=rec['handling'])
|
||||
ws2.cell(row=r2, column=9, value=rec['transfer'])
|
||||
ws2.cell(row=r2, column=10, value=rec['days'] if rec['days'] else '')
|
||||
ws2.cell(row=r2, column=11, value=rec['monthly_bonus'] if rec['monthly_bonus'] else '')
|
||||
ws2.cell(row=r2, column=12, value=rec['target'])
|
||||
ws2.cell(row=r2, column=13, value=rec['note'])
|
||||
drw(ws2, r2, 13, alt=(i%2==1))
|
||||
ws2.row_dimensions[r2].height = 22
|
||||
r2 += 1
|
||||
|
||||
# 合计行
|
||||
ws2.cell(row=r2, column=3, value='合计')
|
||||
ws2.cell(row=r2, column=4, value=round(sum(r['amount'] for r in detail_records), 2))
|
||||
for c in range(1, 14):
|
||||
ws2.cell(row=r2, column=c).fill = SUB_FILL
|
||||
ws2.cell(row=r2, column=c).border = BORD
|
||||
ws2.cell(row=r2, column=c).font = BOLD_FNT
|
||||
ws2.cell(row=r2, column=c).alignment = CC
|
||||
|
||||
for i, w in enumerate([10, 12, 14, 14, 10, 24, 8, 18, 14, 12, 10, 22, 28], 1):
|
||||
ws2.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ═══════════════════════════════════════
|
||||
# Sheets 3-5: 个人明细
|
||||
# ═══════════════════════════════════════
|
||||
for name, title_txt, transfer_to in [
|
||||
('赵连飞', '赵连飞（2026-04-30离职，业务转→刘念念）', '刘念念'),
|
||||
('伍仲文', '伍仲文（2026-05-09离职，业务转→钟祥）', '钟祥'),
|
||||
('岑彦', '岑彦（2026-05-09离职，业务转→钟祥）', '钟祥'),
|
||||
]:
|
||||
ws = wb.create_sheet(name)
|
||||
ws.merge_cells('A1:K1')
|
||||
ws.cell(row=1, column=1, value=title_txt).font = TITLE_FNT
|
||||
ws.cell(row=1, column=1).alignment = CC
|
||||
ws.row_dimensions[1].height = 28
|
||||
|
||||
ph = ['车牌号', '发放类型', '考核应发', '盈亏查询月', '客户名称', '客户盈亏',
|
||||
'处理方式', '6月考核天数', '月度奖励', '考核目标', '备注']
|
||||
r3 = 3
|
||||
for c, h in enumerate(ph, 1):
|
||||
ws.cell(row=r3, column=c, value=h)
|
||||
hdr(ws, r3, 11)
|
||||
r3 += 1
|
||||
|
||||
person_recs = [p for p in detail_records if p['name'] == name]
|
||||
dangyue_recs = [p for p in person_recs if p['pay_type'] == '当月']
|
||||
other_recs = [p for p in person_recs if p['pay_type'] != '当月']
|
||||
|
||||
for i, rec in enumerate(person_recs):
|
||||
h_disp = rec['handling']
|
||||
ws.cell(row=r3, column=1, value=rec['plate'])
|
||||
ws.cell(row=r3, column=2, value=rec['pay_type'])
|
||||
ws.cell(row=r3, column=3, value=round(rec['amount'], 2))
|
||||
ws.cell(row=r3, column=4, value=f"{rec['loss_month']}月")
|
||||
ws.cell(row=r3, column=5, value=rec['client'])
|
||||
ws.cell(row=r3, column=6, value=rec['loss_status'])
|
||||
ws.cell(row=r3, column=7, value=h_disp)
|
||||
ws.cell(row=r3, column=8, value=rec['days'] if rec['days'] else '')
|
||||
ws.cell(row=r3, column=9, value=rec['monthly_bonus'] if rec['monthly_bonus'] else '')
|
||||
ws.cell(row=r3, column=10, value=rec['target'])
|
||||
ws.cell(row=r3, column=11, value=rec['note'])
|
||||
drw(ws, r3, 11, alt=(i%2==1))
|
||||
ws.row_dimensions[r3].height = 22
|
||||
r3 += 1
|
||||
|
||||
dn = sum(p['amount'] for p in dangyue_recs)
|
||||
ot = sum(p['amount'] for p in other_recs)
|
||||
gt = dn + ot
|
||||
|
||||
# 不发了小计
|
||||
ws.cell(row=r3, column=2, value='不发了小计').font = BOLD_FNT
|
||||
ws.cell(row=r3, column=3, value=round(ot, 2)).font = BOLD_FNT
|
||||
for c in range(1, 12):
|
||||
ws.cell(row=r3, column=c).fill = SUB_FILL; ws.cell(row=r3, column=c).border = BORD
|
||||
ws.cell(row=r3, column=2).alignment = CC; ws.cell(row=r3, column=3).alignment = CC
|
||||
r3 += 1
|
||||
|
||||
# 转嫁小计
|
||||
ws.cell(row=r3, column=2, value=f'转{transfer_to}小计').font = BOLD_FNT
|
||||
ws.cell(row=r3, column=3, value=round(dn, 2)).font = BOLD_FNT
|
||||
ws.cell(row=r3, column=11, value='需与其他部门确认').font = Font(size=9, color='C00000')
|
||||
for c in range(1, 12):
|
||||
ws.cell(row=r3, column=c).fill = SUB_FILL; ws.cell(row=r3, column=c).border = BORD
|
||||
ws.cell(row=r3, column=2).alignment = CC; ws.cell(row=r3, column=3).alignment = CC
|
||||
r3 += 1
|
||||
|
||||
# 合计
|
||||
ws.cell(row=r3, column=2, value='合计').font = BOLD_FNT
|
||||
ws.cell(row=r3, column=3, value=round(gt, 2)).font = BOLD_FNT
|
||||
for c in range(1, 12):
|
||||
ws.cell(row=r3, column=c).fill = SUB_FILL; ws.cell(row=r3, column=c).border = BORD
|
||||
ws.cell(row=r3, column=2).alignment = CC; ws.cell(row=r3, column=3).alignment = CC
|
||||
|
||||
for i, w in enumerate([12, 14, 14, 10, 26, 8, 18, 12, 10, 22, 30], 1):
|
||||
ws.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ═══════════════════════════════════════
|
||||
# Sheets 6-7: 转嫁明细
|
||||
# ═══════════════════════════════════════
|
||||
for title_txt, sources, receiver in [
|
||||
('转嫁至刘念念的奖金 — 来源：赵连飞(2026-04-30离职)', ['赵连飞'], '刘念念'),
|
||||
('转嫁至钟祥的奖金 — 来源：伍仲文(2026-05-09离职)、岑彦(2026-05-09离职)', ['伍仲文', '岑彦'], '钟祥'),
|
||||
]:
|
||||
ws = wb.create_sheet(f'转{receiver}明细')
|
||||
ws.merge_cells('A1:K1')
|
||||
ws.cell(row=1, column=1, value=title_txt).font = TITLE_FNT
|
||||
ws.cell(row=1, column=1).alignment = CC
|
||||
ws.row_dimensions[1].height = 28
|
||||
|
||||
ws.merge_cells('A2:K2')
|
||||
ws.cell(row=2, column=1, value='⚠ 以下金额需与其他部门确认是否可发放给新销售').font = NOTE_FNT
|
||||
ws.cell(row=2, column=1).alignment = LL
|
||||
|
||||
th = ['来源离职人员', '车牌号', '发放类型', '考核应发', '盈亏查询月', '客户名称',
|
||||
'客户盈亏', '6月考核天数', '月度奖励', '考核目标', '备注']
|
||||
r4 = 4
|
||||
for c, h in enumerate(th, 1):
|
||||
ws.cell(row=r4, column=c, value=h)
|
||||
hdr(ws, r4, 11)
|
||||
r4 += 1
|
||||
|
||||
trf_recs = [p for p in detail_records if p['name'] in sources and p['pay_type'] == '当月']
|
||||
for i, rec in enumerate(trf_recs):
|
||||
ws.cell(row=r4, column=1, value=rec['name'])
|
||||
ws.cell(row=r4, column=2, value=rec['plate'])
|
||||
ws.cell(row=r4, column=3, value='当月')
|
||||
ws.cell(row=r4, column=4, value=round(rec['amount'], 2))
|
||||
ws.cell(row=r4, column=5, value=f"{rec['loss_month']}月")
|
||||
ws.cell(row=r4, column=6, value=rec['client'])
|
||||
ws.cell(row=r4, column=7, value=rec['loss_status'])
|
||||
ws.cell(row=r4, column=8, value=rec['days'] if rec['days'] else '')
|
||||
ws.cell(row=r4, column=9, value=rec['monthly_bonus'] if rec['monthly_bonus'] else '')
|
||||
ws.cell(row=r4, column=10, value=rec['target'])
|
||||
ws.cell(row=r4, column=11, value='需确认是否发给新销售')
|
||||
drw(ws, r4, 11, alt=(i%2==1))
|
||||
ws.row_dimensions[r4].height = 22
|
||||
r4 += 1
|
||||
|
||||
ws.cell(row=r4, column=3, value='合计')
|
||||
ws.cell(row=r4, column=4, value=round(sum(r['amount'] for r in trf_recs), 2))
|
||||
for c in range(1, 12):
|
||||
ws.cell(row=r4, column=c).fill = SUB_FILL; ws.cell(row=r4, column=c).border = BORD
|
||||
ws.cell(row=r4, column=c).font = BOLD_FNT; ws.cell(row=r4, column=c).alignment = CC
|
||||
|
||||
for i, w in enumerate([14, 12, 14, 14, 10, 26, 8, 12, 10, 22, 22], 1):
|
||||
ws.column_dimensions[get_column_letter(i)].width = w
|
||||
|
||||
# ── Save ──
|
||||
out = '离职人员6月奖金处理明细.xlsx'
|
||||
wb.save(out)
|
||||
|
||||
print(f'\n✅ {out} ({len(wb.sheetnames)} sheets)')
|
||||
print(f'\n汇总:')
|
||||
for name in ['赵连飞', '伍仲文', '岑彦']:
|
||||
recs = [p for p in detail_records if p['name'] == name]
|
||||
not_pay = sum(p['amount'] for p in recs if p['pay_type'] != '当月')
|
||||
trf = sum(p['amount'] for p in recs if p['pay_type'] == '当月')
|
||||
print(f' {name}: 不发了={not_pay:.2f} 转{RESIGNATIONS[name]["transfer_to"]}={trf:.2f} 合计={not_pay+trf:.2f}')
|
||||
print(f' 总计: 不发了={total_not:.2f} 转新销售={total_trf:.2f}')
|
||||
@@ -0,0 +1,258 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
用本地GPS数据(G7日里程 + 东方北斗月里程)替换125辆测试车辆的实际行驶里程。
|
||||
测试里程 = TBOX - GPS（负数为0）。
|
||||
"""
|
||||
import openpyxl, os, shutil, xlrd
|
||||
from datetime import datetime, date, timedelta
|
||||
from openpyxl.styles import PatternFill, Font, Alignment, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
SRC = '租赁任务考核_2026年6月 (1).xlsx'
|
||||
DST = '租赁任务考核_2026年6月.xlsx'
|
||||
GPS_DIR = 'gps里程汇总2026年1-6月 3'
|
||||
|
||||
# ========== 读取125辆测试车辆清单 ==========
|
||||
TEST_FILE = '/Users/kkfluous/Library/Containers/com.tencent.xinWeChat/Data/Documents/xwechat_files/wxid_1704407055112_3af8/temp/RWTemp/2026-07/65b41c10aa83cabb7a365b2b8437c1c7/6月测试车辆.xlsx'
|
||||
wb_test = openpyxl.load_workbook(TEST_FILE, data_only=True)
|
||||
ws_test = wb_test.active
|
||||
TEST_PLATES = set()
|
||||
for row in ws_test.iter_rows(min_row=2, values_only=True):
|
||||
for ci in range(len(row)):
|
||||
p = str(row[ci]).strip() if row[ci] else ''
|
||||
if p and p != 'None' and len(p) >= 7:
|
||||
TEST_PLATES.add(p)
|
||||
wb_test.close()
|
||||
print(f"测试车辆清单: {len(TEST_PLATES)}辆")
|
||||
|
||||
# ========== Step 1: 加载G7 GPS日里程 ==========
|
||||
print("\n加载G7 GPS日里程...")
|
||||
g7_wb = openpyxl.load_workbook(f'{GPS_DIR}/G7/202606_G7.xlsx')
|
||||
g7_ws = g7_wb.active
|
||||
gps_daily = {} # plate -> [day1, day2, ..., day30]
|
||||
for row in g7_ws.iter_rows(min_row=2, values_only=True):
|
||||
plate = str(row[0]).strip() if row[0] else ''
|
||||
if not plate or plate not in TEST_PLATES:
|
||||
continue
|
||||
daily = [float(row[c]) if row[c] else 0 for c in range(3, 33)]
|
||||
gps_daily[plate] = daily
|
||||
g7_wb.close()
|
||||
print(f"G7覆盖: {len(gps_daily)}辆测试车")
|
||||
|
||||
# ========== Step 2: 加载东方北斗GPS月里程 ==========
|
||||
print("加载东方北斗GPS月里程...")
|
||||
df_wb = openpyxl.load_workbook(f'{GPS_DIR}/东方北斗/202606_东方北斗.xlsx')
|
||||
df_ws = df_wb.active
|
||||
gps_monthly = {} # plate -> monthly_total_km
|
||||
for row in df_ws.iter_rows(min_row=4, values_only=True):
|
||||
plate = str(row[5]).strip() if row[5] else ''
|
||||
if not plate or plate not in TEST_PLATES:
|
||||
continue
|
||||
monthly = float(row[10]) if row[10] else 0
|
||||
gps_monthly[plate] = monthly
|
||||
df_wb.close()
|
||||
print(f"东方北斗覆盖: {len(gps_monthly)}辆测试车")
|
||||
|
||||
# ========== Step 3: 读取源文件，执行GPS替换 ==========
|
||||
print("\n执行GPS替换...")
|
||||
|
||||
# 备份
|
||||
BAK = '租赁任务考核_2026年6月_备份_0715.xlsx'
|
||||
if os.path.exists(DST):
|
||||
shutil.copy2(DST, BAK)
|
||||
|
||||
shutil.copy2(SRC, DST)
|
||||
|
||||
wb = openpyxl.load_workbook(DST)
|
||||
ws = wb['业务考核视图']
|
||||
h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
print(f"源文件: {ws.max_row}行, {len(h)}列")
|
||||
|
||||
# 读取所有记录
|
||||
recs = []
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
r = dict(zip(h, row))
|
||||
r['row_num'] = len(recs) + 2
|
||||
recs.append(r)
|
||||
|
||||
test_recs = [r for r in recs if r['车牌号'] in TEST_PLATES]
|
||||
print(f"测试车辆记录: {len(test_recs)}条 ({len(set(r['车牌号'] for r in test_recs))}辆)")
|
||||
|
||||
# 添加列
|
||||
if '原TBOX里程(km)' not in h:
|
||||
tbox_new_col = ws.max_column + 1
|
||||
test_new_col = ws.max_column + 2
|
||||
ws.cell(row=1, column=tbox_new_col, value='原TBOX里程(km)')
|
||||
ws.cell(row=1, column=test_new_col, value='测试里程(km)')
|
||||
h_new = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
else:
|
||||
h_new = h
|
||||
|
||||
actual_idx = h_new.index('实际行驶里程(km)') + 1
|
||||
tbox_idx = h_new.index('原TBOX里程(km)') + 1
|
||||
test_idx = h_new.index('测试里程(km)') + 1
|
||||
rate_idx = h_new.index('完成率(%)') + 1
|
||||
qualified_idx = h_new.index('是否达标') + 1
|
||||
|
||||
yellow_fill = PatternFill(start_color='FFFF00', end_color='FFFF00', fill_type='solid')
|
||||
|
||||
replaced_g7 = 0
|
||||
replaced_df = 0
|
||||
no_gps = 0
|
||||
total_test_km = 0
|
||||
total_gps_km = 0
|
||||
total_tbox_km = 0
|
||||
|
||||
for r in test_recs:
|
||||
plate = r['车牌号']
|
||||
rn = r['row_num']
|
||||
|
||||
# 获取考核区间
|
||||
start_date = r.get('考核开始日期')
|
||||
end_date = r.get('考核结束日期')
|
||||
|
||||
gps_total = None
|
||||
source = None
|
||||
|
||||
# 优先用G7日数据
|
||||
if plate in gps_daily:
|
||||
daily = gps_daily[plate]
|
||||
try:
|
||||
sd = start_date.date() if hasattr(start_date, 'date') else datetime.strptime(str(start_date)[:10], '%Y-%m-%d').date()
|
||||
ed = end_date.date() if hasattr(end_date, 'date') else datetime.strptime(str(end_date)[:10], '%Y-%m-%d').date()
|
||||
except:
|
||||
sd = date(2026, 6, 1)
|
||||
ed = date(2026, 6, 30)
|
||||
|
||||
gps_total = 0
|
||||
for day_offset in range(30):
|
||||
day = date(2026, 6, 1) + timedelta(days=day_offset)
|
||||
if sd <= day <= ed:
|
||||
gps_total += daily[day_offset]
|
||||
gps_total = round(gps_total, 1)
|
||||
source = 'G7'
|
||||
replaced_g7 += 1
|
||||
|
||||
# 其次用东方北斗月里程
|
||||
elif plate in gps_monthly:
|
||||
# 东方北斗只有月度合计，考核区间一般都是整月
|
||||
gps_total = gps_monthly[plate]
|
||||
source = '东方北斗'
|
||||
replaced_df += 1
|
||||
|
||||
if gps_total is None:
|
||||
no_gps += 1
|
||||
continue
|
||||
|
||||
# 原TBOX里程 = 当前实际行驶里程
|
||||
tbox_val = float(ws.cell(row=rn, column=actual_idx).value or 0)
|
||||
|
||||
# 测试里程 = TBOX - GPS（负数为0）
|
||||
test_km = max(0, round(tbox_val - gps_total, 1))
|
||||
|
||||
# 写入
|
||||
ws.cell(row=rn, column=tbox_idx, value=tbox_val)
|
||||
ws.cell(row=rn, column=test_idx, value=test_km)
|
||||
ws.cell(row=rn, column=actual_idx, value=gps_total)
|
||||
|
||||
# 标记黄色
|
||||
for c in range(1, ws.max_column + 1):
|
||||
ws.cell(row=rn, column=c).fill = yellow_fill
|
||||
|
||||
# 重算完成率
|
||||
target = float(r.get('应考核里程(km)') or 0)
|
||||
pct = round(gps_total / target * 100, 2) if target > 0 else 0
|
||||
qualified = '达标' if gps_total >= target and target > 0 else '未达标'
|
||||
ws.cell(row=rn, column=rate_idx, value=pct)
|
||||
ws.cell(row=rn, column=qualified_idx, value=qualified)
|
||||
|
||||
total_test_km += test_km
|
||||
total_gps_km += gps_total
|
||||
total_tbox_km += tbox_val
|
||||
|
||||
print(f"\n替换统计:")
|
||||
print(f" G7日数据: {replaced_g7}条")
|
||||
print(f" 东方北斗月数据: {replaced_df}条")
|
||||
print(f" 无GPS数据: {no_gps}条")
|
||||
print(f" TBOX总里程: {total_tbox_km:.1f}")
|
||||
print(f" GPS总里程: {total_gps_km:.1f}")
|
||||
print(f" 测试总里程: {total_test_km:.1f}")
|
||||
|
||||
# ========== Step 4: TBOX回填（非测试车辆） ==========
|
||||
print("\nTBOX回填（非测试车辆）...")
|
||||
filled = 0
|
||||
for row_idx in range(2, ws.max_row + 1):
|
||||
tbox_val = ws.cell(row=row_idx, column=tbox_idx).value
|
||||
actual_val = ws.cell(row=row_idx, column=actual_idx).value
|
||||
test_val = ws.cell(row=row_idx, column=test_idx).value
|
||||
if (tbox_val is None or float(tbox_val) == 0):
|
||||
if test_val is None or float(test_val) == 0:
|
||||
ws.cell(row=row_idx, column=tbox_idx, value=float(actual_val) if actual_val else 0)
|
||||
filled += 1
|
||||
print(f"TBOX回填: {filled}条")
|
||||
|
||||
# ========== Step 5: 列序排版 ==========
|
||||
print("\n列序排版...")
|
||||
target_order = [
|
||||
'车牌号', '考核年份', '考核月份', '部门名称', '销售经理', '客户名称',
|
||||
'合同编号', '项目名称', '考核目标ID', '考核目标', '考核开始日期', '考核结束日期',
|
||||
'考核天数', '应考核里程(km)', '原TBOX里程(km)', '实际行驶里程(km)', '测试里程(km)',
|
||||
'完成率(%)', '是否达标', '考核状态', '交车日期', '预计还车日期', '实际还车日期'
|
||||
]
|
||||
|
||||
h_cur = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
all_rows = []
|
||||
for row_idx in range(1, ws.max_row + 1):
|
||||
row_data = {}
|
||||
for c in range(1, ws.max_column + 1):
|
||||
row_data[h_cur[c-1]] = ws.cell(row=row_idx, column=c).value
|
||||
all_rows.append(row_data)
|
||||
|
||||
# Clear
|
||||
for r in range(1, ws.max_row + 1):
|
||||
for c in range(1, ws.max_column + 1):
|
||||
ws.cell(row=r, column=c, value=None)
|
||||
|
||||
thin_border = Border(left=Side(style='thin'), right=Side(style='thin'),
|
||||
top=Side(style='thin'), bottom=Side(style='thin'))
|
||||
header_fill = PatternFill(start_color='4472C4', end_color='4472C4', fill_type='solid')
|
||||
header_font = Font(name='宋体', size=10, bold=True, color='FFFFFF')
|
||||
data_font = Font(name='宋体', size=10)
|
||||
|
||||
for i, col_name in enumerate(target_order):
|
||||
c = i + 1
|
||||
cell = ws.cell(row=1, column=c, value=col_name)
|
||||
cell.font = header_font
|
||||
cell.fill = header_fill
|
||||
cell.alignment = Alignment(horizontal='center', vertical='center')
|
||||
cell.border = thin_border
|
||||
|
||||
for row_idx, row_data in enumerate(all_rows[1:], start=2):
|
||||
for i, col_name in enumerate(target_order):
|
||||
c = i + 1
|
||||
val = row_data.get(col_name)
|
||||
cell = ws.cell(row=row_idx, column=c, value=val)
|
||||
cell.font = data_font
|
||||
cell.alignment = Alignment(vertical='center')
|
||||
cell.border = thin_border
|
||||
if col_name in ['考核开始日期', '考核结束日期', '交车日期', '预计还车日期', '实际还车日期']:
|
||||
cell.number_format = 'yyyy-mm-dd h:mm:ss'
|
||||
if row_data.get('测试里程(km)') and float(row_data.get('测试里程(km)', 0) or 0) != 0:
|
||||
cell.fill = yellow_fill
|
||||
|
||||
for i in range(len(target_order)):
|
||||
ws.column_dimensions[get_column_letter(i+1)].width = 15
|
||||
|
||||
wb.save(DST)
|
||||
wb.close()
|
||||
|
||||
print(f"列序排版: {len(target_order)}列")
|
||||
print(f"\n{'='*60}")
|
||||
print(f"GPS替换完成！")
|
||||
print(f"测试车辆: {len(TEST_PLATES)}辆 -> 源数据{len(test_recs)}条记录")
|
||||
print(f"GPS来源: G7({replaced_g7}条) + 东方北斗({replaced_df}条)")
|
||||
print(f"测试总里程: {total_test_km:.1f} km")
|
||||
print(f"已保存: {DST}")
|
||||
print(f"{'='*60}")
|
||||
@@ -0,0 +1,264 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
从本地GPS数据(G7)整合6月GPS里程，替换测试车辆实际行驶里程
|
||||
测试里程 = TBOX总里程 - GPS总里程（负数为0）
|
||||
重新核算6月里程考核，输出到 ./20260713_1500/
|
||||
"""
|
||||
import openpyxl, os, shutil
|
||||
from datetime import datetime, date
|
||||
from openpyxl.styles import PatternFill, Font, Alignment, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
SRC = '租赁任务考核_2026年6月 (1).xlsx'
|
||||
DST = '租赁任务考核_2026年6月.xlsx'
|
||||
GPS_DIR = 'gps里程汇总2026年1-6月 3'
|
||||
|
||||
# 36辆测试车辆
|
||||
TEST_PLATES = {
|
||||
'粤AGE5480','粤AGF4535','粤AGG3490','粤AGG4135','粤AGG4191',
|
||||
'粤AGP2033','粤AGP3080','粤AGP3663','粤AGP3676','粤AGP5139',
|
||||
'粤AGP5156','粤AGP5163','粤AGP5168','粤AGP5636','粤AGP5767',
|
||||
'粤AGP5768','粤AGP5796','粤AGP9733','粤AGP9786','粤AGR0298',
|
||||
'粤AGR1586','粤AGR3288','粤AGR5056','粤AGR5068','粤AGR5088',
|
||||
'粤AGR6869','粤AGR6877','粤AGR6879','粤AGR6881','粤AGR8506',
|
||||
'粤AGR8551','粤AGR8558','粤AGR8799','粤AGR9866','粤AGR9893',
|
||||
'粤AGR9899',
|
||||
}
|
||||
|
||||
# ========== Step 1: 加载G7 GPS日里程数据 ==========
|
||||
print("=" * 60)
|
||||
print("Step 1: 加载G7 GPS日里程数据")
|
||||
print("=" * 60)
|
||||
|
||||
g7_wb = openpyxl.load_workbook(f'{GPS_DIR}/G7/202606_G7.xlsx')
|
||||
g7_ws = g7_wb.active
|
||||
|
||||
# G7格式: 车牌号(0), 机构(1), 行驶里程(2), 06月01日(3)...06月30日(32), 运行时长(33), 数据完整度说明(34)
|
||||
gps_daily = {} # plate -> [day1_km, day2_km, ..., day30_km]
|
||||
gps_monthly = {} # plate -> monthly_total_km
|
||||
no_data_plates = set()
|
||||
|
||||
for row in g7_ws.iter_rows(min_row=2, values_only=True):
|
||||
plate = str(row[0]).strip() if row[0] else ''
|
||||
if not plate:
|
||||
continue
|
||||
monthly_km = float(row[2]) if row[2] else 0
|
||||
daily = []
|
||||
for c in range(3, 33): # 06月01日 to 06月30日
|
||||
daily.append(float(row[c]) if row[c] else 0)
|
||||
gps_daily[plate] = daily
|
||||
gps_monthly[plate] = monthly_km
|
||||
|
||||
g7_wb.close()
|
||||
print(f"G7加载完成: {len(gps_daily)}辆车")
|
||||
|
||||
# ========== Step 2: 读取源文件，执行GPS替换 ==========
|
||||
print("\n" + "=" * 60)
|
||||
print("Step 2: GPS里程替换")
|
||||
print("=" * 60)
|
||||
|
||||
# 备份现有文件
|
||||
BAK = '租赁任务考核_2026年6月_备份_0715.xlsx'
|
||||
if os.path.exists(DST):
|
||||
shutil.copy2(DST, BAK)
|
||||
print(f'已备份: {BAK}')
|
||||
|
||||
# 从原始新文件开始
|
||||
shutil.copy2(SRC, DST)
|
||||
print(f'源文件: {SRC} → {DST}')
|
||||
|
||||
wb = openpyxl.load_workbook(DST)
|
||||
ws = wb['业务考核视图']
|
||||
h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
print(f'列数: {len(h)}')
|
||||
|
||||
# 读取所有记录
|
||||
recs = []
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
r = dict(zip(h, row))
|
||||
r['row_num'] = len(recs) + 2
|
||||
recs.append(r)
|
||||
|
||||
# 找测试车辆记录
|
||||
test_recs = [r for r in recs if r['车牌号'] in TEST_PLATES]
|
||||
print(f'测试车辆记录: {len(test_recs)}条 ({len(set(r["车牌号"] for r in test_recs))}辆)')
|
||||
|
||||
# 添加 原TBOX里程(km) 和 测试里程(km) 列
|
||||
if '原TBOX里程(km)' not in h:
|
||||
tbox_new_col = ws.max_column + 1
|
||||
test_new_col = ws.max_column + 2
|
||||
ws.cell(row=1, column=tbox_new_col, value='原TBOX里程(km)')
|
||||
ws.cell(row=1, column=test_new_col, value='测试里程(km)')
|
||||
h_new = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
else:
|
||||
h_new = h
|
||||
|
||||
actual_idx = h_new.index('实际行驶里程(km)') + 1
|
||||
tbox_idx = h_new.index('原TBOX里程(km)') + 1
|
||||
test_idx = h_new.index('测试里程(km)') + 1
|
||||
rate_idx = h_new.index('完成率(%)') + 1
|
||||
qualified_idx = h_new.index('是否达标') + 1
|
||||
|
||||
yellow_fill = PatternFill(start_color='FFFF00', end_color='FFFF00', fill_type='solid')
|
||||
|
||||
DAYSM = {1: 31, 2: 28, 3: 31, 4: 30, 5: 31, 6: 30}
|
||||
|
||||
replaced = 0
|
||||
no_gps = 0
|
||||
no_gps_plates = set()
|
||||
|
||||
for r in test_recs:
|
||||
plate = r['车牌号']
|
||||
rn = r['row_num']
|
||||
|
||||
# 获取考核起止日期
|
||||
start_date = r.get('考核开始日期')
|
||||
end_date = r.get('考核结束日期')
|
||||
|
||||
if plate not in gps_daily:
|
||||
no_gps += 1
|
||||
no_gps_plates.add(plate)
|
||||
continue
|
||||
|
||||
daily = gps_daily[plate]
|
||||
|
||||
# 计算考核区间内的GPS总里程
|
||||
if start_date and end_date:
|
||||
try:
|
||||
sd = start_date.date() if hasattr(start_date, 'date') else datetime.strptime(str(start_date)[:10], '%Y-%m-%d').date()
|
||||
ed = end_date.date() if hasattr(end_date, 'date') else datetime.strptime(str(end_date)[:10], '%Y-%m-%d').date()
|
||||
except:
|
||||
sd = date(2026, 6, 1)
|
||||
ed = date(2026, 6, 30)
|
||||
else:
|
||||
sd = date(2026, 6, 1)
|
||||
ed = date(2026, 6, 30)
|
||||
|
||||
# 汇总考核区间内的GPS日里程（G7日数据索引: 0=6/1, 29=6/30）
|
||||
gps_total = 0
|
||||
for day_offset in range(30):
|
||||
day = date(2026, 6, 1) + date.resolution * day_offset # timedelta
|
||||
from datetime import timedelta
|
||||
day = date(2026, 6, 1) + timedelta(days=day_offset)
|
||||
if sd <= day <= ed:
|
||||
gps_total += daily[day_offset]
|
||||
|
||||
gps_total = round(gps_total, 1)
|
||||
|
||||
# 原TBOX里程 = 当前实际行驶里程
|
||||
tbox_val = float(ws.cell(row=rn, column=actual_idx).value or 0)
|
||||
|
||||
# 测试里程 = TBOX - GPS（负数为0）
|
||||
test_km = max(0, round(tbox_val - gps_total, 1))
|
||||
|
||||
# 写入
|
||||
ws.cell(row=rn, column=tbox_idx, value=tbox_val)
|
||||
ws.cell(row=rn, column=test_idx, value=test_km)
|
||||
ws.cell(row=rn, column=actual_idx, value=gps_total)
|
||||
|
||||
# 标记黄色
|
||||
for c in range(1, ws.max_column + 1):
|
||||
ws.cell(row=rn, column=c).fill = yellow_fill
|
||||
|
||||
# 重算完成率
|
||||
target = float(r.get('应考核里程(km)') or 0)
|
||||
pct = round(gps_total / target * 100, 2) if target > 0 else 0
|
||||
qualified = '达标' if gps_total >= target and target > 0 else '未达标'
|
||||
ws.cell(row=rn, column=rate_idx, value=pct)
|
||||
ws.cell(row=rn, column=qualified_idx, value=qualified)
|
||||
|
||||
replaced += 1
|
||||
print(f" {plate}: TBOX={tbox_val}, GPS={gps_total}, 测试={test_km}, 达标={qualified}")
|
||||
|
||||
print(f'\nGPS替换: 成功{replaced}条, 无GPS数据{no_gps}条')
|
||||
if no_gps_plates:
|
||||
print(f'无GPS数据车牌: {sorted(no_gps_plates)}')
|
||||
|
||||
# ========== Step 3: TBOX回填（非测试车辆） ==========
|
||||
print("\n" + "=" * 60)
|
||||
print("Step 3: TBOX回填（非测试车辆）")
|
||||
print("=" * 60)
|
||||
|
||||
filled = 0
|
||||
for row_idx in range(2, ws.max_row + 1):
|
||||
tbox_val = ws.cell(row=row_idx, column=tbox_idx).value
|
||||
actual_val = ws.cell(row=row_idx, column=actual_idx).value
|
||||
test_val = ws.cell(row=row_idx, column=test_idx).value
|
||||
|
||||
if (tbox_val is None or float(tbox_val) == 0):
|
||||
if test_val is None or float(test_val) == 0:
|
||||
ws.cell(row=row_idx, column=tbox_idx, value=float(actual_val) if actual_val else 0)
|
||||
filled += 1
|
||||
|
||||
print(f'TBOX回填: {filled}条')
|
||||
|
||||
# ========== Step 4: 列序排版 ==========
|
||||
print("\n" + "=" * 60)
|
||||
print("Step 4: 列序排版")
|
||||
print("=" * 60)
|
||||
|
||||
target_order = [
|
||||
'车牌号', '考核年份', '考核月份', '部门名称', '销售经理', '客户名称',
|
||||
'合同编号', '项目名称', '考核目标ID', '考核目标', '考核开始日期', '考核结束日期',
|
||||
'考核天数', '应考核里程(km)', '原TBOX里程(km)', '实际行驶里程(km)', '测试里程(km)',
|
||||
'完成率(%)', '是否达标', '考核状态', '交车日期', '预计还车日期', '实际还车日期'
|
||||
]
|
||||
|
||||
# Read all data with styles
|
||||
h_cur = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
all_rows = []
|
||||
for row_idx in range(1, ws.max_row + 1):
|
||||
row_data = {}
|
||||
for c in range(1, ws.max_column + 1):
|
||||
row_data[h_cur[c-1]] = ws.cell(row=row_idx, column=c).value
|
||||
all_rows.append(row_data)
|
||||
|
||||
# Clear sheet
|
||||
for r in range(1, ws.max_row + 1):
|
||||
for c in range(1, ws.max_column + 1):
|
||||
ws.cell(row=r, column=c, value=None)
|
||||
|
||||
# Apply styles
|
||||
thin_border = Border(left=Side(style='thin'), right=Side(style='thin'),
|
||||
top=Side(style='thin'), bottom=Side(style='thin'))
|
||||
header_fill = PatternFill(start_color='4472C4', end_color='4472C4', fill_type='solid')
|
||||
header_font = Font(name='宋体', size=10, bold=True, color='FFFFFF')
|
||||
data_font = Font(name='宋体', size=10)
|
||||
|
||||
# Write headers
|
||||
for i, col_name in enumerate(target_order):
|
||||
c = i + 1
|
||||
cell = ws.cell(row=1, column=c, value=col_name)
|
||||
cell.font = header_font
|
||||
cell.fill = header_fill
|
||||
cell.alignment = Alignment(horizontal='center', vertical='center')
|
||||
cell.border = thin_border
|
||||
|
||||
# Write data
|
||||
for row_idx, row_data in enumerate(all_rows[1:], start=2):
|
||||
for i, col_name in enumerate(target_order):
|
||||
c = i + 1
|
||||
val = row_data.get(col_name)
|
||||
cell = ws.cell(row=row_idx, column=c, value=val)
|
||||
cell.font = data_font
|
||||
cell.alignment = Alignment(vertical='center')
|
||||
cell.border = thin_border
|
||||
if col_name in ['考核开始日期', '考核结束日期', '交车日期', '预计还车日期', '实际还车日期']:
|
||||
cell.number_format = 'yyyy-mm-dd h:mm:ss'
|
||||
# Restore yellow fill for test vehicles
|
||||
if row_data.get('测试里程(km)') and float(row_data.get('测试里程(km)', 0) or 0) != 0:
|
||||
cell.fill = yellow_fill
|
||||
|
||||
for i in range(len(target_order)):
|
||||
ws.column_dimensions[get_column_letter(i+1)].width = 15
|
||||
|
||||
wb.save(DST)
|
||||
wb.close()
|
||||
print(f'列序排版完成 ({len(target_order)}列)')
|
||||
print(f'已保存: {DST}')
|
||||
|
||||
print("\n" + "=" * 60)
|
||||
print("GPS替换完成！接下来运行 main.py...")
|
||||
print("=" * 60)
|
||||
+107
@@ -0,0 +1,107 @@
|
||||
<!doctype html>
|
||||
<html>
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<title>小羚羚小程序</title>
|
||||
<meta name="viewport" content="width=device-width,initial-scale=1">
|
||||
<style>
|
||||
html, body {
|
||||
box-sizing: border-box;
|
||||
width: 100%;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
min-height: 100%;
|
||||
height: 100%;
|
||||
overflow-x: hidden;
|
||||
overflow-y: auto;
|
||||
}
|
||||
#root {
|
||||
width: 100%;
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
height: 100%;
|
||||
min-height: 100vh;
|
||||
overflow: visible;
|
||||
}
|
||||
body.is-element-page #root {
|
||||
width: 100vw;
|
||||
height: 100vh;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
<script>
|
||||
(function () {
|
||||
var isComponent = false;
|
||||
if (document.body && (isComponent || window.location.pathname.includes('/components/'))) {
|
||||
document.body.classList.add('is-element-page');
|
||||
}
|
||||
})();
|
||||
</script>
|
||||
|
||||
<div id="root"></div>
|
||||
|
||||
<script>window.__AXHUB_ANNOTATION_SOURCE_REFERENCE__={root:"source",manifest:"source/manifest.json"};</script>
|
||||
|
||||
<script src="./assets/react.production.min.js"></script>
|
||||
<script src="./assets/react-dom.production.min.js"></script>
|
||||
<script src="./assets/export-html-bootstrap.js"></script>
|
||||
|
||||
<script>
|
||||
function waitForBootstrap(timeoutMs) {
|
||||
timeoutMs = timeoutMs || 10000;
|
||||
return new Promise(function (resolve, reject) {
|
||||
var startedAt = Date.now();
|
||||
function check() {
|
||||
if (window.HtmlTemplateBootstrap) {
|
||||
resolve(window.HtmlTemplateBootstrap);
|
||||
return;
|
||||
}
|
||||
if (Date.now() - startedAt >= timeoutMs) {
|
||||
reject(new Error('[Html Template] Bootstrap 初始化超时'));
|
||||
return;
|
||||
}
|
||||
setTimeout(check, 10);
|
||||
}
|
||||
check();
|
||||
});
|
||||
}
|
||||
|
||||
function loadEntryScript(src) {
|
||||
return new Promise(function (resolve, reject) {
|
||||
var script = document.createElement('script');
|
||||
script.src = src;
|
||||
script.async = false;
|
||||
script.onload = function () { resolve(); };
|
||||
script.onerror = function () { reject(new Error('[Html Template] 入口脚本加载失败: ' + src)); };
|
||||
document.body.appendChild(script);
|
||||
});
|
||||
}
|
||||
|
||||
async function bootstrapAndRender() {
|
||||
try {
|
||||
var bootstrap = await waitForBootstrap();
|
||||
var renderComponent = bootstrap.renderComponent;
|
||||
window.React = bootstrap.React;
|
||||
window.ReactDOM = bootstrap.ReactDOM;
|
||||
|
||||
await loadEntryScript('./index.js');
|
||||
window.__AXHUB_ANNOTATION_SOURCE_REFERENCE__={root:"source",manifest:"source/manifest.json"};
|
||||
|
||||
var Component = window.UserComponent && (window.UserComponent.Component || window.UserComponent.default || window.UserComponent);
|
||||
if (!Component) {
|
||||
throw new Error('[Html Template] 入口脚本未暴露 UserComponent');
|
||||
}
|
||||
|
||||
renderComponent(Component);
|
||||
} catch (error) {
|
||||
console.error('[Html Template] 页面初始化失败:', error);
|
||||
}
|
||||
}
|
||||
|
||||
bootstrapAndRender();
|
||||
</script>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
+107
@@ -0,0 +1,107 @@
|
||||
<!doctype html>
|
||||
<html>
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<title>小羚羚小程序</title>
|
||||
<meta name="viewport" content="width=device-width,initial-scale=1">
|
||||
<style>
|
||||
html, body {
|
||||
box-sizing: border-box;
|
||||
width: 100%;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
min-height: 100%;
|
||||
height: 100%;
|
||||
overflow-x: hidden;
|
||||
overflow-y: auto;
|
||||
}
|
||||
#root {
|
||||
width: 100%;
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
height: 100%;
|
||||
min-height: 100vh;
|
||||
overflow: visible;
|
||||
}
|
||||
body.is-element-page #root {
|
||||
width: 100vw;
|
||||
height: 100vh;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
<script>
|
||||
(function () {
|
||||
var isComponent = false;
|
||||
if (document.body && (isComponent || window.location.pathname.includes('/components/'))) {
|
||||
document.body.classList.add('is-element-page');
|
||||
}
|
||||
})();
|
||||
</script>
|
||||
|
||||
<div id="root"></div>
|
||||
|
||||
<script>window.__AXHUB_ANNOTATION_SOURCE_REFERENCE__={root:"source",manifest:"source/manifest.json"};</script>
|
||||
|
||||
<script src="./assets/react.production.min.js"></script>
|
||||
<script src="./assets/react-dom.production.min.js"></script>
|
||||
<script src="./assets/export-html-bootstrap.js"></script>
|
||||
|
||||
<script>
|
||||
function waitForBootstrap(timeoutMs) {
|
||||
timeoutMs = timeoutMs || 10000;
|
||||
return new Promise(function (resolve, reject) {
|
||||
var startedAt = Date.now();
|
||||
function check() {
|
||||
if (window.HtmlTemplateBootstrap) {
|
||||
resolve(window.HtmlTemplateBootstrap);
|
||||
return;
|
||||
}
|
||||
if (Date.now() - startedAt >= timeoutMs) {
|
||||
reject(new Error('[Html Template] Bootstrap 初始化超时'));
|
||||
return;
|
||||
}
|
||||
setTimeout(check, 10);
|
||||
}
|
||||
check();
|
||||
});
|
||||
}
|
||||
|
||||
function loadEntryScript(src) {
|
||||
return new Promise(function (resolve, reject) {
|
||||
var script = document.createElement('script');
|
||||
script.src = src;
|
||||
script.async = false;
|
||||
script.onload = function () { resolve(); };
|
||||
script.onerror = function () { reject(new Error('[Html Template] 入口脚本加载失败: ' + src)); };
|
||||
document.body.appendChild(script);
|
||||
});
|
||||
}
|
||||
|
||||
async function bootstrapAndRender() {
|
||||
try {
|
||||
var bootstrap = await waitForBootstrap();
|
||||
var renderComponent = bootstrap.renderComponent;
|
||||
window.React = bootstrap.React;
|
||||
window.ReactDOM = bootstrap.ReactDOM;
|
||||
|
||||
await loadEntryScript('./index.js');
|
||||
window.__AXHUB_ANNOTATION_SOURCE_REFERENCE__={root:"source",manifest:"source/manifest.json"};
|
||||
|
||||
var Component = window.UserComponent && (window.UserComponent.Component || window.UserComponent.default || window.UserComponent);
|
||||
if (!Component) {
|
||||
throw new Error('[Html Template] 入口脚本未暴露 UserComponent');
|
||||
}
|
||||
|
||||
renderComponent(Component);
|
||||
} catch (error) {
|
||||
console.error('[Html Template] 页面初始化失败:', error);
|
||||
}
|
||||
}
|
||||
|
||||
bootstrapAndRender();
|
||||
</script>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
+107
@@ -0,0 +1,107 @@
|
||||
<!doctype html>
|
||||
<html>
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<title>小羚羚小程序</title>
|
||||
<meta name="viewport" content="width=device-width,initial-scale=1">
|
||||
<style>
|
||||
html, body {
|
||||
box-sizing: border-box;
|
||||
width: 100%;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
min-height: 100%;
|
||||
height: 100%;
|
||||
overflow-x: hidden;
|
||||
overflow-y: auto;
|
||||
}
|
||||
#root {
|
||||
width: 100%;
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
height: 100%;
|
||||
min-height: 100vh;
|
||||
overflow: visible;
|
||||
}
|
||||
body.is-element-page #root {
|
||||
width: 100vw;
|
||||
height: 100vh;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
<script>
|
||||
(function () {
|
||||
var isComponent = false;
|
||||
if (document.body && (isComponent || window.location.pathname.includes('/components/'))) {
|
||||
document.body.classList.add('is-element-page');
|
||||
}
|
||||
})();
|
||||
</script>
|
||||
|
||||
<div id="root"></div>
|
||||
|
||||
<script>window.__AXHUB_ANNOTATION_SOURCE_REFERENCE__={root:"source",manifest:"source/manifest.json"};</script>
|
||||
|
||||
<script src="./assets/react.production.min.js"></script>
|
||||
<script src="./assets/react-dom.production.min.js"></script>
|
||||
<script src="./assets/export-html-bootstrap.js"></script>
|
||||
|
||||
<script>
|
||||
function waitForBootstrap(timeoutMs) {
|
||||
timeoutMs = timeoutMs || 10000;
|
||||
return new Promise(function (resolve, reject) {
|
||||
var startedAt = Date.now();
|
||||
function check() {
|
||||
if (window.HtmlTemplateBootstrap) {
|
||||
resolve(window.HtmlTemplateBootstrap);
|
||||
return;
|
||||
}
|
||||
if (Date.now() - startedAt >= timeoutMs) {
|
||||
reject(new Error('[Html Template] Bootstrap 初始化超时'));
|
||||
return;
|
||||
}
|
||||
setTimeout(check, 10);
|
||||
}
|
||||
check();
|
||||
});
|
||||
}
|
||||
|
||||
function loadEntryScript(src) {
|
||||
return new Promise(function (resolve, reject) {
|
||||
var script = document.createElement('script');
|
||||
script.src = src;
|
||||
script.async = false;
|
||||
script.onload = function () { resolve(); };
|
||||
script.onerror = function () { reject(new Error('[Html Template] 入口脚本加载失败: ' + src)); };
|
||||
document.body.appendChild(script);
|
||||
});
|
||||
}
|
||||
|
||||
async function bootstrapAndRender() {
|
||||
try {
|
||||
var bootstrap = await waitForBootstrap();
|
||||
var renderComponent = bootstrap.renderComponent;
|
||||
window.React = bootstrap.React;
|
||||
window.ReactDOM = bootstrap.ReactDOM;
|
||||
|
||||
await loadEntryScript('./index.js');
|
||||
window.__AXHUB_ANNOTATION_SOURCE_REFERENCE__={root:"source",manifest:"source/manifest.json"};
|
||||
|
||||
var Component = window.UserComponent && (window.UserComponent.Component || window.UserComponent.default || window.UserComponent);
|
||||
if (!Component) {
|
||||
throw new Error('[Html Template] 入口脚本未暴露 UserComponent');
|
||||
}
|
||||
|
||||
renderComponent(Component);
|
||||
} catch (error) {
|
||||
console.error('[Html Template] 页面初始化失败:', error);
|
||||
}
|
||||
}
|
||||
|
||||
bootstrapAndRender();
|
||||
</script>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
+107
@@ -0,0 +1,107 @@
|
||||
<!doctype html>
|
||||
<html>
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<title>小羚羚小程序</title>
|
||||
<meta name="viewport" content="width=device-width,initial-scale=1">
|
||||
<style>
|
||||
html, body {
|
||||
box-sizing: border-box;
|
||||
width: 100%;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
min-height: 100%;
|
||||
height: 100%;
|
||||
overflow-x: hidden;
|
||||
overflow-y: auto;
|
||||
}
|
||||
#root {
|
||||
width: 100%;
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
height: 100%;
|
||||
min-height: 100vh;
|
||||
overflow: visible;
|
||||
}
|
||||
body.is-element-page #root {
|
||||
width: 100vw;
|
||||
height: 100vh;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
<script>
|
||||
(function () {
|
||||
var isComponent = false;
|
||||
if (document.body && (isComponent || window.location.pathname.includes('/components/'))) {
|
||||
document.body.classList.add('is-element-page');
|
||||
}
|
||||
})();
|
||||
</script>
|
||||
|
||||
<div id="root"></div>
|
||||
|
||||
<script>window.__AXHUB_ANNOTATION_SOURCE_REFERENCE__={root:"source",manifest:"source/manifest.json"};</script>
|
||||
|
||||
<script src="./assets/react.production.min.js"></script>
|
||||
<script src="./assets/react-dom.production.min.js"></script>
|
||||
<script src="./assets/export-html-bootstrap.js"></script>
|
||||
|
||||
<script>
|
||||
function waitForBootstrap(timeoutMs) {
|
||||
timeoutMs = timeoutMs || 10000;
|
||||
return new Promise(function (resolve, reject) {
|
||||
var startedAt = Date.now();
|
||||
function check() {
|
||||
if (window.HtmlTemplateBootstrap) {
|
||||
resolve(window.HtmlTemplateBootstrap);
|
||||
return;
|
||||
}
|
||||
if (Date.now() - startedAt >= timeoutMs) {
|
||||
reject(new Error('[Html Template] Bootstrap 初始化超时'));
|
||||
return;
|
||||
}
|
||||
setTimeout(check, 10);
|
||||
}
|
||||
check();
|
||||
});
|
||||
}
|
||||
|
||||
function loadEntryScript(src) {
|
||||
return new Promise(function (resolve, reject) {
|
||||
var script = document.createElement('script');
|
||||
script.src = src;
|
||||
script.async = false;
|
||||
script.onload = function () { resolve(); };
|
||||
script.onerror = function () { reject(new Error('[Html Template] 入口脚本加载失败: ' + src)); };
|
||||
document.body.appendChild(script);
|
||||
});
|
||||
}
|
||||
|
||||
async function bootstrapAndRender() {
|
||||
try {
|
||||
var bootstrap = await waitForBootstrap();
|
||||
var renderComponent = bootstrap.renderComponent;
|
||||
window.React = bootstrap.React;
|
||||
window.ReactDOM = bootstrap.ReactDOM;
|
||||
|
||||
await loadEntryScript('./index.js');
|
||||
window.__AXHUB_ANNOTATION_SOURCE_REFERENCE__={root:"source",manifest:"source/manifest.json"};
|
||||
|
||||
var Component = window.UserComponent && (window.UserComponent.Component || window.UserComponent.default || window.UserComponent);
|
||||
if (!Component) {
|
||||
throw new Error('[Html Template] 入口脚本未暴露 UserComponent');
|
||||
}
|
||||
|
||||
renderComponent(Component);
|
||||
} catch (error) {
|
||||
console.error('[Html Template] 页面初始化失败:', error);
|
||||
}
|
||||
}
|
||||
|
||||
bootstrapAndRender();
|
||||
</script>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
+107
@@ -0,0 +1,107 @@
|
||||
<!doctype html>
|
||||
<html>
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<title>小羚羚小程序</title>
|
||||
<meta name="viewport" content="width=device-width,initial-scale=1">
|
||||
<style>
|
||||
html, body {
|
||||
box-sizing: border-box;
|
||||
width: 100%;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
min-height: 100%;
|
||||
height: 100%;
|
||||
overflow-x: hidden;
|
||||
overflow-y: auto;
|
||||
}
|
||||
#root {
|
||||
width: 100%;
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
height: 100%;
|
||||
min-height: 100vh;
|
||||
overflow: visible;
|
||||
}
|
||||
body.is-element-page #root {
|
||||
width: 100vw;
|
||||
height: 100vh;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
<script>
|
||||
(function () {
|
||||
var isComponent = false;
|
||||
if (document.body && (isComponent || window.location.pathname.includes('/components/'))) {
|
||||
document.body.classList.add('is-element-page');
|
||||
}
|
||||
})();
|
||||
</script>
|
||||
|
||||
<div id="root"></div>
|
||||
|
||||
<script>window.__AXHUB_ANNOTATION_SOURCE_REFERENCE__={root:"source",manifest:"source/manifest.json"};</script>
|
||||
|
||||
<script src="./assets/react.production.min.js"></script>
|
||||
<script src="./assets/react-dom.production.min.js"></script>
|
||||
<script src="./assets/export-html-bootstrap.js"></script>
|
||||
|
||||
<script>
|
||||
function waitForBootstrap(timeoutMs) {
|
||||
timeoutMs = timeoutMs || 10000;
|
||||
return new Promise(function (resolve, reject) {
|
||||
var startedAt = Date.now();
|
||||
function check() {
|
||||
if (window.HtmlTemplateBootstrap) {
|
||||
resolve(window.HtmlTemplateBootstrap);
|
||||
return;
|
||||
}
|
||||
if (Date.now() - startedAt >= timeoutMs) {
|
||||
reject(new Error('[Html Template] Bootstrap 初始化超时'));
|
||||
return;
|
||||
}
|
||||
setTimeout(check, 10);
|
||||
}
|
||||
check();
|
||||
});
|
||||
}
|
||||
|
||||
function loadEntryScript(src) {
|
||||
return new Promise(function (resolve, reject) {
|
||||
var script = document.createElement('script');
|
||||
script.src = src;
|
||||
script.async = false;
|
||||
script.onload = function () { resolve(); };
|
||||
script.onerror = function () { reject(new Error('[Html Template] 入口脚本加载失败: ' + src)); };
|
||||
document.body.appendChild(script);
|
||||
});
|
||||
}
|
||||
|
||||
async function bootstrapAndRender() {
|
||||
try {
|
||||
var bootstrap = await waitForBootstrap();
|
||||
var renderComponent = bootstrap.renderComponent;
|
||||
window.React = bootstrap.React;
|
||||
window.ReactDOM = bootstrap.ReactDOM;
|
||||
|
||||
await loadEntryScript('./index.js');
|
||||
window.__AXHUB_ANNOTATION_SOURCE_REFERENCE__={root:"source",manifest:"source/manifest.json"};
|
||||
|
||||
var Component = window.UserComponent && (window.UserComponent.Component || window.UserComponent.default || window.UserComponent);
|
||||
if (!Component) {
|
||||
throw new Error('[Html Template] 入口脚本未暴露 UserComponent');
|
||||
}
|
||||
|
||||
renderComponent(Component);
|
||||
} catch (error) {
|
||||
console.error('[Html Template] 页面初始化失败:', error);
|
||||
}
|
||||
}
|
||||
|
||||
bootstrapAndRender();
|
||||
</script>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
+369
@@ -0,0 +1,369 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
6月 18T 绩效考核 — 方案3 (800/300 当月, 800结转, 500补发/累计)
|
||||
"""
|
||||
|
||||
import os, openpyxl, unicodedata
|
||||
from collections import defaultdict
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
DAYS = {1:31, 2:28, 3:31, 4:30, 5:31, 6:30}
|
||||
TARGET_KM = 6000
|
||||
BASE_GOOD = 800 # 当月达标
|
||||
BASE_BAD = 300 # 当月未达标
|
||||
BASE_CARRY = 800 # 结转
|
||||
BASE_OTHER = 500 # 补发/累计补发
|
||||
OUTPUT_DIR = '/Users/kkfluous/Downloads/6月18T测算'
|
||||
|
||||
# ========== 数据读取 ==========
|
||||
|
||||
def read_18t(filepath, month):
|
||||
wb = openpyxl.load_workbook(filepath, data_only=True)
|
||||
ws = wb['业务考核视图']
|
||||
h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
recs = []
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
r = dict(zip(h, row))
|
||||
if r.get('考核目标') != '羚牛100辆18T':
|
||||
continue
|
||||
r['考核天数'] = float(r['考核天数'] or 0)
|
||||
r['应考核里程(km)'] = float(r['应考核里程(km)'] or 0)
|
||||
r['实际行驶里程(km)'] = float(r['实际行驶里程(km)'] or 0)
|
||||
r['月份'] = month
|
||||
t, a = r['应考核里程(km)'], r['实际行驶里程(km)']
|
||||
q = a >= t and t > 0
|
||||
r['是否达标'] = '达标' if q else '未达标'
|
||||
r['多跑'] = max(0, a - t) if q else 0
|
||||
r['可结转'] = int(r['多跑'] // TARGET_KM) if q else 0
|
||||
recs.append(r)
|
||||
wb.close()
|
||||
return recs
|
||||
|
||||
|
||||
def grp(recs):
|
||||
gs = defaultdict(lambda: {
|
||||
'recs': [], '应考核': 0, '实际': 0, '奖金': 0, '天数': 0,
|
||||
'有达标': False, '部门': '', '销售': '', '车牌': ''
|
||||
})
|
||||
for r in recs:
|
||||
k = (r['车牌号'], r['销售经理'])
|
||||
g = gs[k]
|
||||
g['recs'].append(r)
|
||||
g['应考核'] += r['应考核里程(km)']
|
||||
g['实际'] += r['实际行驶里程(km)']
|
||||
g['奖金'] += r.get('奖金', 0)
|
||||
g['天数'] += r['考核天数']
|
||||
if r['是否达标'] == '达标':
|
||||
g['有达标'] = True
|
||||
g['部门'] = r['部门名称']
|
||||
g['销售'] = r['销售经理']
|
||||
g['车牌'] = r['车牌号']
|
||||
return dict(gs)
|
||||
|
||||
|
||||
# ========== 计算 ==========
|
||||
|
||||
def calc():
|
||||
D = {}
|
||||
for m in range(1, 7):
|
||||
fp = f'租赁任务考核_2026年{m}月.xlsx'
|
||||
if os.path.exists(fp):
|
||||
D[m] = read_18t(fp, m)
|
||||
|
||||
# 给每条记录算奖金
|
||||
for m in D:
|
||||
for r in D[m]:
|
||||
t, a = r['应考核里程(km)'], r['实际行驶里程(km)']
|
||||
q = a >= t and t > 0
|
||||
r['是否达标'] = '达标' if q else '未达标'
|
||||
if q:
|
||||
r['奖金'] = BASE_GOOD * (r['考核天数'] / DAYS[m])
|
||||
else:
|
||||
r['奖金'] = BASE_BAD * (r['考核天数'] / DAYS[m])
|
||||
r['多跑'] = max(0, a - t) if q else 0
|
||||
r['可结转'] = int(r['多跑'] // TARGET_KM) if q else 0
|
||||
|
||||
G = {m: grp(D[m]) for m in D}
|
||||
|
||||
# 1月: 初始化
|
||||
for k, g in G[1].items():
|
||||
cum_q = g['实际'] >= g['应考核'] and g['应考核'] > 0
|
||||
cum_over = max(0, g['实际'] - g['应考核']) if cum_q else 0
|
||||
g['可结转'] = int(cum_over // TARGET_KM) if TARGET_KM > 0 else 0
|
||||
g['累计已发结转'] = 0
|
||||
g['1月已发'] = g['有达标']
|
||||
g['cum_t'] = g['应考核']
|
||||
g['cum_a'] = g['实际']
|
||||
g['cum_q'] = cum_q
|
||||
|
||||
# 逐月计算 2→6
|
||||
for month in range(2, 7):
|
||||
if month not in G:
|
||||
continue
|
||||
prev_m = month - 1
|
||||
days_m = DAYS[month]
|
||||
|
||||
for k, gm in G[month].items():
|
||||
gp = G[prev_m].get(k)
|
||||
|
||||
cum_t = (gp['cum_t'] if gp else 0) + gm['应考核']
|
||||
cum_a = (gp['cum_a'] if gp else 0) + gm['实际']
|
||||
cum_q = cum_a >= cum_t and cum_t > 0
|
||||
|
||||
# 结转: 800
|
||||
carry = 0
|
||||
p_carry = gp['可结转'] if gp else 0
|
||||
if gp and p_carry >= 1:
|
||||
carry = BASE_CARRY
|
||||
|
||||
# 当月奖金
|
||||
gm['当月奖金'] = gm['奖金'] if carry == 0 else 0
|
||||
|
||||
# 补发历史月: 500
|
||||
for back_m in range(1, month):
|
||||
g_bm = G[back_m].get(k)
|
||||
if not g_bm:
|
||||
continue
|
||||
bm_paid = g_bm.get(f'{back_m}月已发', g_bm['有达标'])
|
||||
if bm_paid:
|
||||
continue
|
||||
bm_paid_later = False
|
||||
for later_m in range(back_m + 1, month):
|
||||
gl = G[later_m].get(k)
|
||||
if gl and gl.get(f'补发{back_m}月', 0) > 0:
|
||||
bm_paid_later = True
|
||||
break
|
||||
if bm_paid_later:
|
||||
continue
|
||||
if cum_q:
|
||||
bj = BASE_OTHER * (g_bm['天数'] / DAYS[back_m])
|
||||
gm[f'补发{back_m}月'] = bj
|
||||
|
||||
# 累计补发当月: 500
|
||||
cbp = 0
|
||||
if not gm['有达标'] and carry == 0 and cum_q:
|
||||
cbp = BASE_OTHER * (gm['天数'] / days_m)
|
||||
gm['累计补发当月'] = cbp
|
||||
|
||||
gm['cum_t'] = cum_t
|
||||
gm['cum_a'] = cum_a
|
||||
gm['cum_q'] = cum_q
|
||||
gm['结转'] = carry
|
||||
gm[f'{month}月已发'] = carry > 0 or gm['有达标'] or cbp > 0
|
||||
|
||||
# 更新可结转
|
||||
cum_over = max(0, cum_a - cum_t) if cum_q else 0
|
||||
earned = int(cum_over // TARGET_KM) if TARGET_KM > 0 else 0
|
||||
prev_used = gp['累计已发结转'] if gp else 0
|
||||
cur_used = prev_used + (1 if carry > 0 else 0)
|
||||
gm['累计已发结转'] = cur_used
|
||||
gm['可结转'] = max(0, earned - cur_used)
|
||||
|
||||
# 补充: 上月有结转但本月无考核记录的车
|
||||
for k, gp in G[prev_m].items():
|
||||
if k not in G[month] and gp.get('可结转', 0) >= 1:
|
||||
G[month][k] = {
|
||||
'recs': [], '应考核': TARGET_KM, '实际': 0, '奖金': 0, '天数': days_m,
|
||||
'有达标': False, '部门': gp['部门'], '销售': gp['销售'], '车牌': k[0],
|
||||
'cum_t': gp.get('cum_t', 0) + TARGET_KM, 'cum_a': gp.get('cum_a', 0),
|
||||
'cum_q': False,
|
||||
'结转': BASE_CARRY, '当月奖金': 0,
|
||||
f'{month}月已发': True,
|
||||
'可结转': max(0, gp['可结转'] - 1),
|
||||
'累计已发结转': gp.get('累计已发结转', 0) + 1,
|
||||
'虚拟': True,
|
||||
}
|
||||
|
||||
# 收集6月发放记录
|
||||
pay_records = collect_payments(G, 6)
|
||||
|
||||
return D[6], G[6], pay_records
|
||||
|
||||
|
||||
def collect_payments(G, month):
|
||||
G_m = G[month]
|
||||
records = []
|
||||
for k, g in sorted(G_m.items()):
|
||||
if g.get('虚拟'):
|
||||
continue
|
||||
carry = g.get('结转', 0)
|
||||
if carry > 0:
|
||||
records.append({'车牌': k[0], '销售': k[1], '部门': g['部门'],
|
||||
'金额': carry, '类型': '结转(800)'})
|
||||
|
||||
bonus = g.get('当月奖金', 0)
|
||||
if bonus > 0:
|
||||
ptype = '当月达标(800)' if g['有达标'] else '当月未达标(300)'
|
||||
records.append({'车牌': k[0], '销售': k[1], '部门': g['部门'],
|
||||
'金额': bonus, '类型': ptype})
|
||||
|
||||
cbp = g.get('累计补发当月', 0)
|
||||
if cbp > 0:
|
||||
records.append({'车牌': k[0], '销售': k[1], '部门': g['部门'],
|
||||
'金额': cbp, '类型': f'累计补发{month}月(500)'})
|
||||
|
||||
for bm in range(1, month):
|
||||
bv = g.get(f'补发{bm}月', 0)
|
||||
if bv > 0:
|
||||
records.append({'车牌': k[0], '销售': k[1], '部门': g['部门'],
|
||||
'金额': bv, '类型': f'补发{bm}月(500)'})
|
||||
|
||||
records.sort(key=lambda x: (x['车牌'], x['类型']))
|
||||
return records
|
||||
|
||||
|
||||
# ========== Excel输出 ==========
|
||||
|
||||
def set_widths(ws, widths):
|
||||
for i, w in enumerate(widths, 1):
|
||||
ws.column_dimensions[openpyxl.utils.get_column_letter(i)].width = w
|
||||
|
||||
|
||||
def write_xlsx(recs_6, G6, pay_records, filepath):
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
# Sheet 1: 规则
|
||||
ws = wb.active
|
||||
ws.title = '考核规则'
|
||||
ws.append(['6月 18T 绩效考核 — 方案3'])
|
||||
ws.append(['考核目标', '羚牛100辆18T'])
|
||||
ws.append(['月度目标里程', '6000km'])
|
||||
ws.append(['当月达标', '800元 × (考核天数/30天)'])
|
||||
ws.append(['当月未达标', '300元 × (考核天数/30天)'])
|
||||
ws.append(['结转奖励', '800元/次 (消耗1个可结转月)'])
|
||||
ws.append(['补发历史月', '500元 × (历史月天数/历史总天数)'])
|
||||
ws.append(['累计补发当月', '500元 × (当月天数/30天)'])
|
||||
ws.append(['规则', '当月达标800/未达标300 → 结转800 → 补发500 → 累计补发500'])
|
||||
ws.append(['亏损筛选', '6月无盈亏表，不管亏损全发'])
|
||||
set_widths(ws, [30, 60])
|
||||
|
||||
# Sheet 2: 里程明细
|
||||
ws2 = wb.create_sheet('6月里程明细')
|
||||
ws2.append(['车牌号', '销售经理', '部门', '客户', '考核天数', '应考核里程', '实际里程', '是否达标', '月度目标'])
|
||||
for r in recs_6:
|
||||
ws2.append([r['车牌号'], r['销售经理'], r.get('部门名称', ''),
|
||||
r.get('客户名称', ''), r['考核天数'], r['应考核里程(km)'],
|
||||
r['实际行驶里程(km)'], r['是否达标'], TARGET_KM])
|
||||
set_widths(ws2, [14, 10, 30, 35, 10, 12, 12, 10, 10])
|
||||
|
||||
# Sheet 3: 计算过程
|
||||
ws3 = wb.create_sheet('6月计算过程')
|
||||
ws3.append(['车牌号', '销售经理', '部门', '6月应考核', '6月实际', '6月达标',
|
||||
'累计应考核', '累计实际', '累计达标', '可结转', '结转发放(800)',
|
||||
'当月奖金', '累计补发6月(500)', '补发1月', '补发2月', '补发3月', '补发4月', '补发5月',
|
||||
'6月总发放'])
|
||||
for k, g in sorted(G6.items()):
|
||||
if g.get('虚拟'):
|
||||
continue
|
||||
cum_q_str = '是' if g.get('cum_q') else '否'
|
||||
dq_str = '是' if g['有达标'] else '否'
|
||||
total = (g.get('结转', 0) + g.get('当月奖金', 0) + g.get('累计补发当月', 0) +
|
||||
sum(g.get(f'补发{m}月', 0) for m in range(1, 6)))
|
||||
ws3.append([k[0], k[1], g['部门'], g['应考核'], g['实际'], dq_str,
|
||||
g.get('cum_t', ''), g.get('cum_a', ''), cum_q_str,
|
||||
g.get('可结转', 0), g.get('结转', 0),
|
||||
g.get('当月奖金', 0), g.get('累计补发当月', 0),
|
||||
g.get('补发1月', 0), g.get('补发2月', 0), g.get('补发3月', 0),
|
||||
g.get('补发4月', 0), g.get('补发5月', 0), total])
|
||||
set_widths(ws3, [14, 10, 30, 12, 12, 10, 12, 12, 10, 10, 14, 12, 16, 10, 10, 10, 10, 10, 14])
|
||||
|
||||
# Sheet 4: 发放明细
|
||||
ws4 = wb.create_sheet('6月发放明细')
|
||||
ws4.append(['车牌号', '销售经理', '部门', '金额', '发放类型'])
|
||||
for r in pay_records:
|
||||
ws4.append([r['车牌'], r['销售'], r['部门'], round(r['金额'], 2), r['类型']])
|
||||
total = sum(r['金额'] for r in pay_records)
|
||||
ws4.append([])
|
||||
ws4.append(['', '', '合计', round(total, 2), ''])
|
||||
set_widths(ws4, [14, 10, 30, 12, 22])
|
||||
|
||||
# Sheet 5: 汇总
|
||||
ws5 = wb.create_sheet('汇总')
|
||||
ws5.append(['6月18T 方案3 汇总 (800/300, 结转800, 补发500)'])
|
||||
ws5.append(['发放类型', '辆数', '金额合计'])
|
||||
cat_sum, cat_cnt = defaultdict(float), defaultdict(int)
|
||||
for r in pay_records:
|
||||
cat_sum[r['类型']] += r['金额']
|
||||
cat_cnt[r['类型']] += 1
|
||||
all_cats = ['当月达标(800)', '当月未达标(300)', '结转(800)', '累计补发6月(500)',
|
||||
'补发1月(500)', '补发2月(500)', '补发3月(500)', '补发4月(500)', '补发5月(500)']
|
||||
for cat in all_cats:
|
||||
if cat in cat_sum:
|
||||
ws5.append([cat, cat_cnt[cat], round(cat_sum[cat], 2)])
|
||||
ws5.append(['合计', sum(cat_cnt.values()), round(sum(cat_sum.values()), 2)])
|
||||
set_widths(ws5, [22, 10, 15])
|
||||
|
||||
wb.save(filepath)
|
||||
print(f' ✅ {filepath}')
|
||||
|
||||
|
||||
# ========== 主流程 ==========
|
||||
|
||||
def main():
|
||||
os.makedirs(OUTPUT_DIR, exist_ok=True)
|
||||
|
||||
print('计算6月18T方案3...')
|
||||
recs_6, G6, pay_records = calc()
|
||||
|
||||
# 统计
|
||||
total_groups = sum(1 for g in G6.values() if not g.get('虚拟'))
|
||||
good_groups = sum(1 for g in G6.values() if g['有达标'] and not g.get('虚拟'))
|
||||
bad_groups = sum(1 for g in G6.values() if not g['有达标'] and not g.get('虚拟'))
|
||||
carry_groups = sum(1 for g in G6.values() if g.get('结转', 0) > 0)
|
||||
|
||||
print(f' 6月18T组数: {total_groups}, 达标: {good_groups}, 未达标: {bad_groups}, 结转: {carry_groups}')
|
||||
|
||||
# 分类汇总
|
||||
def cats(dl, *keys):
|
||||
cnt = sum(sum(1 for r in dl if r['类型']==k) for k in keys)
|
||||
amt = sum(sum(r['金额'] for r in dl if r['类型']==k) for k in keys)
|
||||
return cnt, amt
|
||||
|
||||
def cell(amt, cnt):
|
||||
if cnt == 0: return '—'
|
||||
return f'{amt:,.2f} ({cnt}辆)'
|
||||
|
||||
rows = [
|
||||
('当月达标(800)', cats(pay_records, '当月达标(800)')),
|
||||
('当月未达标(300)', cats(pay_records, '当月未达标(300)')),
|
||||
('结转(800)', cats(pay_records, '结转(800)')),
|
||||
('累计补发6月(500)', cats(pay_records, '累计补发6月(500)')),
|
||||
('补发1月(500)', cats(pay_records, '补发1月(500)')),
|
||||
('补发2月(500)', cats(pay_records, '补发2月(500)')),
|
||||
('补发3月(500)', cats(pay_records, '补发3月(500)')),
|
||||
('补发4月(500)', cats(pay_records, '补发4月(500)')),
|
||||
('补发5月(500)', cats(pay_records, '补发5月(500)')),
|
||||
]
|
||||
grand_total = sum(r['金额'] for r in pay_records)
|
||||
|
||||
def vw(s):
|
||||
return sum(2 if unicodedata.east_asian_width(c) in ('F','W') else 1 for c in str(s))
|
||||
def padr(s, w):
|
||||
return ' ' * (w - vw(s)) + str(s)
|
||||
def padl(s, w):
|
||||
return str(s) + ' ' * (w - vw(s))
|
||||
|
||||
W0, W1 = 17, 26
|
||||
print()
|
||||
print(' 6月 18T 绩效考核 — 方案3 (800/300, 结转800, 补发500)')
|
||||
print(f" ┌{'─'*W0}┬{'─'*W1}┐")
|
||||
for label, (cnt, amt) in rows:
|
||||
if amt > 0 or ('累计补发' in label) or ('补发' in label):
|
||||
c = cell(amt, cnt)
|
||||
else:
|
||||
c = cell(amt, cnt)
|
||||
if amt > 0 or cnt > 0:
|
||||
print(f" │{padl(label,W0)}│{padr(c,W1)}│")
|
||||
# separator
|
||||
print(f" ├{'─'*W0}┼{'─'*W1}┤")
|
||||
print(f" │{padl('合计',W0)}│{padr(f'{grand_total:,.2f}',W1)}│")
|
||||
print(f" └{'─'*W0}┴{'─'*W1}┘")
|
||||
|
||||
# 写Excel
|
||||
write_xlsx(recs_6, G6, pay_records, os.path.join(OUTPUT_DIR, '6月18T_方案3.xlsx'))
|
||||
print(f"\n文件输出到: {OUTPUT_DIR}/")
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
@@ -1,40 +1,69 @@
|
||||
#!/usr/bin/env python3
|
||||
"""按月生成独立Excel文件 - 里程考核绩效（含亏损筛选）"""
|
||||
"""按月生成独立Excel文件 - 里程考核绩效，支持1-7月"""
|
||||
import os, openpyxl
|
||||
from calc_engine import *
|
||||
from excel_writer import *
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
JULY_SOURCE = os.environ.get('JULY_SOURCE', os.path.join('7月核算结果', '租赁任务考核_2026年7月.xlsx'))
|
||||
JULY_OUTPUT_DIR = os.environ.get('JULY_OUTPUT_DIR', '7月核算结果')
|
||||
|
||||
# 读取
|
||||
# 读取1-7月；7月优先读取核算结果目录内已完成GPS干预的源表
|
||||
print("读取源数据...")
|
||||
D = {1: read_file('租赁任务考核_2026年1月.xlsx', 1),
|
||||
2: read_file('租赁任务考核_2026年2月.xlsx', 2),
|
||||
3: read_file('租赁任务考核_2026年3月.xlsx', 3)}
|
||||
for m in [1,2,3]: print(f" {m}月: {len(D[m])}条")
|
||||
months = []
|
||||
for m in range(1, 8):
|
||||
fp = JULY_SOURCE if m == 7 else f'租赁任务考核_2026年{m}月.xlsx'
|
||||
if os.path.exists(fp):
|
||||
months.append(m)
|
||||
D = {}
|
||||
for m in months:
|
||||
fp = JULY_SOURCE if m == 7 else f'租赁任务考核_2026年{m}月.xlsx'
|
||||
D[m] = read_file(fp, m)
|
||||
print(f" {m}月: {len(D[m])}条")
|
||||
|
||||
# 分组+计算
|
||||
G = {m: grp(D[m], m) for m in [1,2,3]}
|
||||
# 分组
|
||||
G = {m: grp(D[m], m) for m in months}
|
||||
|
||||
# 1月初始化
|
||||
calc_jan_carryover(G[1])
|
||||
feb_data = calc_feb(G[1], G[2])
|
||||
mar_data = calc_mar(G[1], G[2], G[3], feb_data)
|
||||
all_data = {}
|
||||
all_data[1] = {'当月': [{'车牌':k[0],'销售':g['销售'],'部门':g['部门'],'额':g['奖金']}
|
||||
for k,g in G[1].items() if g['奖金'] > 0]}
|
||||
|
||||
# 逐月计算: 2→7
|
||||
for m in range(2, 8):
|
||||
if m not in G:
|
||||
continue
|
||||
data_m, G[m] = calc_month(m, G, all_data, G[m-1], G[m])
|
||||
|
||||
# 钱婧已离职：从2026年7月起所有结转、当月、补发及累计补发均不再发放。
|
||||
all_data[7] = {
|
||||
cat: [item for item in items if item.get('销售') != '钱婧']
|
||||
for cat, items in all_data[7].items()
|
||||
}
|
||||
|
||||
# 发放追踪
|
||||
vehicle_payments, vehicle_info = collect_vehicle_payments(G, feb_data, mar_data)
|
||||
vehicle_payments, vehicle_info = collect_vehicle_payments(G, all_data)
|
||||
master_vehicles = read_master_vehicles()
|
||||
|
||||
# 亏损表
|
||||
print("\n读取亏损表...")
|
||||
loss_data = {}
|
||||
for m in [1,2,3]:
|
||||
for m in months:
|
||||
ld = read_loss_data(m)
|
||||
if ld:
|
||||
loss_clients = sum(1 for v in ld.values() if v == '是')
|
||||
print(f" {m}月: {len(ld)}个客户, 其中亏损{loss_clients}个")
|
||||
loss_data[m] = ld
|
||||
else:
|
||||
print(f" {m}月: 无亏损表")
|
||||
loss_data[m] = None
|
||||
# 无亏损表的月份不管亏损全发 → 构造全'否'的代理
|
||||
from collections import defaultdict as dd
|
||||
ld_tmp = dd(lambda: '否')
|
||||
for r in D[m]:
|
||||
c = r.get('客户名称')
|
||||
if c: ld_tmp[c] = '否'
|
||||
print(f" {m}月: 无亏损表，按全部不亏损处理（全发）")
|
||||
loss_data[m] = ld_tmp
|
||||
|
||||
# 车牌→客户名称映射
|
||||
plate_client = get_vehicle_client_map(D)
|
||||
@@ -46,27 +75,23 @@ for m in G:
|
||||
all_persons[g['销售']] = g['部门']
|
||||
|
||||
# 打印汇总
|
||||
jan_total = sum(r['奖金'] for r in D[1] if r['是否达标']=='达标')
|
||||
feb_total = sum(sum(d['额'] for d in v) for v in feb_data.values())
|
||||
mar_total = sum(sum(d['额'] for d in v) for v in mar_data.values())
|
||||
print(f"\n考核应发: 1月{jan_total:.2f}, 2月{feb_total:.2f}, 3月{mar_total:.2f}")
|
||||
print(f"Q1考核应发合计: {jan_total + feb_total + mar_total:.2f}")
|
||||
print("\n考核应发汇总:")
|
||||
grand = 0
|
||||
for m in months:
|
||||
total_m = sum(sum(d['额'] for d in v) for v in all_data[m].values())
|
||||
grand += total_m
|
||||
print(f" {m}月: {total_m:.2f}")
|
||||
print(f" 合计: {grand:.2f}")
|
||||
|
||||
# ============================================================
|
||||
# 按月生成
|
||||
# 按月生成（只生成7月）
|
||||
# ============================================================
|
||||
for settle_month in [1, 2, 3]:
|
||||
for settle_month in [7]:
|
||||
print(f"\n生成 {settle_month}月核算文件...")
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
# 当月数据
|
||||
if settle_month == 1:
|
||||
month_data = {'当月': [{'车牌':r['车牌号'],'销售':r['销售经理'],'部门':r['部门名称'],'额':r['奖金']}
|
||||
for r in D[1] if r['是否达标']=='达标']}
|
||||
elif settle_month == 2:
|
||||
month_data = feb_data
|
||||
else:
|
||||
month_data = mar_data
|
||||
month_data = all_data[settle_month]
|
||||
|
||||
# Sheet 1: 考核奖励规则
|
||||
write_rules_sheet(wb)
|
||||
@@ -75,31 +100,50 @@ for settle_month in [1, 2, 3]:
|
||||
write_detail_sheet(wb, D[settle_month], settle_month)
|
||||
|
||||
# Sheet 3: 计算过程
|
||||
if settle_month == 1:
|
||||
write_calc_process_jan(wb, G[1])
|
||||
elif settle_month == 2:
|
||||
write_calc_process_feb(wb, G[1], G[2])
|
||||
else:
|
||||
write_calc_process_mar(wb, G[1], G[2], G[3], feb_data)
|
||||
write_calc_process_generic(wb, settle_month, G, all_data)
|
||||
|
||||
# Sheet 5: 车辆考核追踪
|
||||
write_vehicle_tracking_sheet(wb, settle_month, G, master_vehicles, vehicle_payments, vehicle_info, loss_data[settle_month], plate_client)
|
||||
|
||||
# Sheet 6: 奖金发放记录（叠加亏损筛选，补发查对应月盈亏）
|
||||
payment_records = build_payment_records(settle_month, month_data, loss_data, plate_client)
|
||||
# 不做任何亏损拦截，全发
|
||||
class _AllPass:
|
||||
def get(self, _k, _d=None): return '否'
|
||||
def __bool__(self): return True
|
||||
payment_records = build_payment_records(settle_month, month_data, {m: _AllPass() for m in months}, plate_client)
|
||||
write_payment_record_sheet(wb, settle_month, payment_records)
|
||||
|
||||
# Sheet 7: 月汇总（从发放记录生成）
|
||||
write_summary_from_records(wb, settle_month, payment_records)
|
||||
# Sheet 7: 月汇总。离职人员仅当月奖金转给现销售，其余结转/补发不发；
|
||||
# 发放记录和个人明细仍保留原归属，方便审计。
|
||||
resignation_transfer = {'赵连飞': '刘念念', '伍仲文': '钟祥', '岑彦': '钟祥'}
|
||||
summary_records = []
|
||||
for rec in payment_records:
|
||||
item = dict(rec)
|
||||
sales = item.get('业务员') or item.get('销售人员') or item.get('销售')
|
||||
ptype = item.get('发放类型') or item.get('类型')
|
||||
if sales in resignation_transfer:
|
||||
if ptype != '当月':
|
||||
continue
|
||||
new_sales = resignation_transfer[sales]
|
||||
if '业务员' in item: item['业务员'] = new_sales
|
||||
if '销售人员' in item: item['销售人员'] = new_sales
|
||||
if '销售' in item: item['销售'] = new_sales
|
||||
summary_records.append(item)
|
||||
write_summary_from_records(wb, settle_month, summary_records)
|
||||
|
||||
# Sheet 6-17: 业务员
|
||||
# 业务员sheets
|
||||
for person in sorted(all_persons.keys()):
|
||||
write_salesperson_sheet(wb, person, all_persons[person], settle_month, D, G, month_data, vehicle_payments)
|
||||
|
||||
# 删除默认空sheet
|
||||
if 'Sheet' in wb.sheetnames:
|
||||
del wb['Sheet']
|
||||
|
||||
fname = f'里程任务考核_{settle_month}月核算.xlsx'
|
||||
for old in ['二部-赵连飞', '六部-伍仲文', '六部-岑彦', '三部-钱婧']:
|
||||
if old in wb.sheetnames:
|
||||
wb[old].title = f'【已离职】{old}'
|
||||
wb.move_sheet(wb[f'【已离职】{old}'], offset=len(wb.sheetnames))
|
||||
|
||||
os.makedirs(JULY_OUTPUT_DIR, exist_ok=True)
|
||||
fname = os.path.join(JULY_OUTPUT_DIR, f'里程任务考核_{settle_month}月核算.xlsx')
|
||||
wb.save(fname)
|
||||
print(f" ✅ {fname} ({len(wb.sheetnames)} sheets)")
|
||||
|
||||
@@ -0,0 +1,741 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
5月 18T 绩效三种测算方案
|
||||
方案1: 保留原逻辑 (1000元基准, 含结转/补发/累计)
|
||||
方案2: 新测算简化版 (800/300, 仅当月, 无结转/补发/累计)
|
||||
方案3: 新测算完整版 (800/300/500, 含结转/补发/累计)
|
||||
"""
|
||||
|
||||
import os, openpyxl
|
||||
from collections import defaultdict
|
||||
from copy import deepcopy
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
DAYS = {1: 31, 2: 28, 3: 31, 4: 30, 5: 31}
|
||||
TARGET_KM = 6000
|
||||
OUTPUT_DIR = '/Users/kkfluous/Downloads/5月18T测算'
|
||||
|
||||
# ============================================================
|
||||
# 数据读取
|
||||
# ============================================================
|
||||
|
||||
def read_18t(filepath, month):
|
||||
"""只读羚牛100辆18T记录"""
|
||||
wb = openpyxl.load_workbook(filepath, data_only=True)
|
||||
ws = wb['业务考核视图']
|
||||
h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
recs = []
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
r = dict(zip(h, row))
|
||||
if r.get('考核目标') != '羚牛100辆18T':
|
||||
continue
|
||||
r['考核天数'] = float(r.get('考核天数') or 0)
|
||||
r['应考核里程(km)'] = float(r.get('应考核里程(km)') or 0)
|
||||
r['实际行驶里程(km)'] = float(r.get('实际行驶里程(km)') or 0)
|
||||
r['月份'] = month
|
||||
t, a = r['应考核里程(km)'], r['实际行驶里程(km)']
|
||||
q = a >= t and t > 0
|
||||
r['是否达标'] = '达标' if q else '未达标'
|
||||
r['多跑'] = max(0, a - t) if q else 0
|
||||
r['可结转'] = int(r['多跑'] // TARGET_KM) if q else 0
|
||||
recs.append(r)
|
||||
wb.close()
|
||||
return recs
|
||||
|
||||
|
||||
def grp(recs):
|
||||
"""按(车牌号, 销售经理)分组"""
|
||||
gs = defaultdict(lambda: {
|
||||
'recs': [], '应考核': 0, '实际': 0, '奖金': 0, '天数': 0,
|
||||
'有达标': False, '目标km': TARGET_KM,
|
||||
'部门': '', '销售': '', '车牌': ''
|
||||
})
|
||||
for r in recs:
|
||||
k = (r['车牌号'], r['销售经理'])
|
||||
g = gs[k]
|
||||
g['recs'].append(r)
|
||||
g['应考核'] += r['应考核里程(km)']
|
||||
g['实际'] += r['实际行驶里程(km)']
|
||||
g['奖金'] += r.get('奖金', 0)
|
||||
g['天数'] += r['考核天数']
|
||||
if r['是否达标'] == '达标':
|
||||
g['有达标'] = True
|
||||
g['部门'] = r['部门名称']
|
||||
g['销售'] = r['销售经理']
|
||||
g['车牌'] = r['车牌号']
|
||||
return dict(gs)
|
||||
|
||||
|
||||
# ============================================================
|
||||
# 方案1: 原逻辑 (base=1000)
|
||||
# ============================================================
|
||||
|
||||
def calc_s1():
|
||||
"""方案1: 保留原逻辑，base=1000。只算18T"""
|
||||
BASE = 1000
|
||||
D = {}
|
||||
for m in range(1, 6):
|
||||
fp = f'租赁任务考核_2026年{m}月.xlsx'
|
||||
if os.path.exists(fp):
|
||||
D[m] = read_18t(fp, m)
|
||||
|
||||
# 给每条记录加上奖励额并计算奖金
|
||||
for m in D:
|
||||
for r in D[m]:
|
||||
r['奖励额'] = BASE
|
||||
t, a = r['应考核里程(km)'], r['实际行驶里程(km)']
|
||||
q = a >= t and t > 0
|
||||
r['是否达标'] = '达标' if q else '未达标'
|
||||
r['奖金'] = BASE * (r['考核天数'] / DAYS[m]) if q else 0
|
||||
r['多跑'] = max(0, a - t) if q else 0
|
||||
r['可结转'] = int(r['多跑'] // TARGET_KM) if q else 0
|
||||
|
||||
G = {m: grp(D[m]) for m in D}
|
||||
|
||||
# 1月: 计算可结转 + 初始化累计
|
||||
for k, g in G[1].items():
|
||||
cum_q = g['实际'] >= g['应考核'] and g['应考核'] > 0
|
||||
cum_over = max(0, g['实际'] - g['应考核']) if cum_q else 0
|
||||
g['可结转'] = int(cum_over // TARGET_KM) if TARGET_KM > 0 else 0
|
||||
g['累计已发结转'] = 0
|
||||
g['1月已发'] = g['奖金'] > 0
|
||||
g['奖励额'] = BASE
|
||||
g['cum_t'] = g['应考核']
|
||||
g['cum_a'] = g['实际']
|
||||
g['cum_q'] = cum_q
|
||||
|
||||
# 用于追踪每个月的发放
|
||||
all_data = {1: {'结转': [], '当月': []}}
|
||||
|
||||
# 用于追踪每个月的发放
|
||||
all_data = {1: {'结转': [], '当月': []}}
|
||||
|
||||
for k, g in G[1].items():
|
||||
if g['奖金'] > 0:
|
||||
all_data[1]['当月'].append({'车牌': k[0], '销售': g['销售'], '部门': g['部门'], '额': g['奖金']})
|
||||
|
||||
# 逐月计算: 2→5
|
||||
for month in range(2, 6):
|
||||
if month not in G:
|
||||
continue
|
||||
data_m = {'结转': [], '当月': []}
|
||||
prev_m = month - 1
|
||||
days_m = DAYS[month]
|
||||
|
||||
for k, gm in G[month].items():
|
||||
gp = G[prev_m].get(k)
|
||||
bf = BASE
|
||||
|
||||
# 累计
|
||||
cum_t = (gp['cum_t'] if gp else 0) + gm['应考核']
|
||||
cum_a = (gp['cum_a'] if gp else 0) + gm['实际']
|
||||
cum_q = cum_a >= cum_t and cum_t > 0
|
||||
|
||||
# 结转
|
||||
carry = 0
|
||||
p_carry = gp['可结转'] if gp else 0
|
||||
if gp and p_carry >= 1:
|
||||
carry = bf
|
||||
data_m['结转'].append({'车牌': k[0], '销售': gp['销售'], '部门': gm['部门'], '额': carry})
|
||||
|
||||
# 当月达标
|
||||
bonus = 0
|
||||
if gm['有达标'] and carry == 0:
|
||||
bonus = gm['奖金']
|
||||
data_m['当月'].append({'车牌': k[0], '销售': gm['销售'], '部门': gm['部门'], '额': bonus})
|
||||
|
||||
# 补发历史月
|
||||
for back_m in range(1, month):
|
||||
label = f'补发{back_m}月'
|
||||
if label not in data_m:
|
||||
data_m[label] = []
|
||||
|
||||
for back_m in range(1, month):
|
||||
label = f'补发{back_m}月'
|
||||
g_bm = G[back_m].get(k)
|
||||
if not g_bm:
|
||||
continue
|
||||
# 检查该月是否已发
|
||||
bm_paid = g_bm.get(f'{back_m}月已发', g_bm['奖金'] > 0)
|
||||
if bm_paid:
|
||||
continue
|
||||
# 检查后续月是否已补发
|
||||
bm_paid_later = False
|
||||
for later_m in range(back_m + 1, month):
|
||||
gl = G[later_m].get(k)
|
||||
if gl and gl.get(f'补发{back_m}月', 0) > 0:
|
||||
bm_paid_later = True
|
||||
break
|
||||
if bm_paid_later:
|
||||
continue
|
||||
if cum_q:
|
||||
bj = g_bm['奖励额'] * (g_bm['天数'] / DAYS[back_m])
|
||||
data_m[label].append({'车牌': k[0], '销售': g_bm['销售'], '部门': gm['部门'], '额': bj})
|
||||
gm[f'补发{back_m}月'] = bj
|
||||
|
||||
# 累计补发当月
|
||||
label_cbp = f'累计补发{month}月'
|
||||
if label_cbp not in data_m:
|
||||
data_m[label_cbp] = []
|
||||
cbp = 0
|
||||
if not gm['有达标'] and carry == 0 and cum_q:
|
||||
cbp = bf * (gm['天数'] / days_m)
|
||||
data_m[label_cbp].append({'车牌': k[0], '销售': gm['销售'], '部门': gm['部门'], '额': cbp})
|
||||
|
||||
gm['cum_t'] = cum_t
|
||||
gm['cum_a'] = cum_a
|
||||
gm['cum_q'] = cum_q
|
||||
gm['结转'] = carry
|
||||
gm['当月奖金'] = bonus
|
||||
gm['累计补发当月'] = cbp
|
||||
gm['奖励额'] = BASE
|
||||
gm[f'{month}月已发'] = carry > 0 or bonus > 0 or cbp > 0
|
||||
|
||||
# 更新可结转
|
||||
cum_over = max(0, cum_a - cum_t) if cum_q else 0
|
||||
earned = int(cum_over // TARGET_KM) if TARGET_KM > 0 else 0
|
||||
prev_used = gp['累计已发结转'] if gp else 0
|
||||
cur_used = prev_used + (1 if carry > 0 else 0)
|
||||
gm['累计已发结转'] = cur_used
|
||||
gm['可结转'] = max(0, earned - cur_used)
|
||||
|
||||
# 补充: 上个月有结转但本月无考核记录的车
|
||||
for k, gp in G[prev_m].items():
|
||||
if k not in G[month] and gp.get('可结转', 0) >= 1:
|
||||
carry = BASE
|
||||
data_m['结转'].append({'车牌': k[0], '销售': gp['销售'], '部门': gp['部门'], '额': carry})
|
||||
G[month][k] = {
|
||||
'recs': [], '应考核': TARGET_KM, '实际': 0, '奖金': 0, '天数': days_m,
|
||||
'有达标': False, '目标km': TARGET_KM, '部门': gp['部门'], '销售': gp['销售'],
|
||||
'车牌': k[0], '奖励额': BASE,
|
||||
'cum_t': gp.get('cum_t', 0) + TARGET_KM, 'cum_a': gp.get('cum_a', 0),
|
||||
'cum_q': False,
|
||||
'结转': carry, '当月奖金': 0,
|
||||
f'{month}月已发': True,
|
||||
'可结转': max(0, gp['可结转'] - 1),
|
||||
'累计已发结转': gp.get('累计已发结转', 0) + 1,
|
||||
'虚拟': True,
|
||||
}
|
||||
for bm in range(1, month):
|
||||
G[month][k][f'补发{bm}月'] = 0
|
||||
|
||||
all_data[month] = data_m
|
||||
|
||||
# 收集5月发放明细
|
||||
pay_records = collect_payments_s1(G, all_data)
|
||||
|
||||
return D[5], G[5], all_data.get(5, {}), pay_records
|
||||
|
||||
|
||||
def collect_payments_s1(G, all_data):
|
||||
"""收集5月结算的所有发放记录"""
|
||||
records = []
|
||||
m5 = all_data.get(5, {})
|
||||
for cat, items in m5.items():
|
||||
for d in items:
|
||||
records.append({
|
||||
'车牌': d['车牌'], '销售': d['销售'], '部门': d.get('部门', ''),
|
||||
'金额': d['额'], '类型': cat, '结算月': 5
|
||||
})
|
||||
records.sort(key=lambda x: (x['车牌'], x['类型']))
|
||||
return records
|
||||
|
||||
|
||||
# ============================================================
|
||||
# 方案2: 简化版 (800/300, 仅当月)
|
||||
# ============================================================
|
||||
|
||||
def calc_s2():
|
||||
"""方案2: 仅看5月, 达标800, 未达标300, 无结转/补发/累计。按组统计(同方案1)"""
|
||||
BASE_GOOD = 800
|
||||
BASE_BAD = 300
|
||||
|
||||
fp = '租赁任务考核_2026年5月.xlsx'
|
||||
recs = read_18t(fp, 5)
|
||||
|
||||
# 给每条记录算好奖金
|
||||
for r in recs:
|
||||
if r['是否达标'] == '达标':
|
||||
r['奖金'] = BASE_GOOD * (r['考核天数'] / DAYS[5])
|
||||
else:
|
||||
r['奖金'] = BASE_BAD * (r['考核天数'] / DAYS[5])
|
||||
|
||||
# 按(车牌+销售)分组, 每组一笔 (同方案1)
|
||||
G5 = grp(recs)
|
||||
pay_records = []
|
||||
for k, g in sorted(G5.items()):
|
||||
total = g['奖金'] # 组内达标+未达标奖金合计
|
||||
ptype = '当月达标(800)' if g['有达标'] else '当月未达标(300)'
|
||||
pay_records.append({
|
||||
'车牌': k[0], '销售': k[1], '部门': g['部门'],
|
||||
'金额': total, '类型': ptype
|
||||
})
|
||||
|
||||
pay_records.sort(key=lambda x: (x['车牌'], x['销售']))
|
||||
return recs, pay_records
|
||||
|
||||
|
||||
# ============================================================
|
||||
# 方案3: 完整版 (800/300, 结转800, 补发/累计500)
|
||||
# ============================================================
|
||||
|
||||
def calc_s3():
|
||||
"""方案3: 当月达标800, 当月未达标300, 结转800, 补发/累计补发500"""
|
||||
BASE_GOOD = 800
|
||||
BASE_BAD = 300
|
||||
BASE_CARRY = 800
|
||||
BASE_OTHER = 500
|
||||
|
||||
D = {}
|
||||
for m in range(1, 6):
|
||||
fp = f'租赁任务考核_2026年{m}月.xlsx'
|
||||
if os.path.exists(fp):
|
||||
D[m] = read_18t(fp, m)
|
||||
|
||||
# 给每条记录加上奖励额和当月奖金(按新标准)
|
||||
for m in D:
|
||||
for r in D[m]:
|
||||
r['奖励额'] = BASE_GOOD # 当月达标基准
|
||||
r['奖励额_未达标'] = BASE_BAD # 当月未达标基准
|
||||
r['奖励额_其他'] = BASE_OTHER # 结转/补发/累计基准
|
||||
t, a = r['应考核里程(km)'], r['实际行驶里程(km)']
|
||||
q = a >= t and t > 0
|
||||
r['是否达标'] = '达标' if q else '未达标'
|
||||
if q:
|
||||
r['奖金'] = BASE_GOOD * (r['考核天数'] / DAYS[m])
|
||||
else:
|
||||
r['奖金'] = BASE_BAD * (r['考核天数'] / DAYS[m])
|
||||
r['多跑'] = max(0, a - t) if q else 0
|
||||
r['可结转'] = int(r['多跑'] // TARGET_KM) if q else 0
|
||||
|
||||
G = {m: grp(D[m]) for m in D}
|
||||
|
||||
# 1月: 计算可结转 + 初始化累计
|
||||
for k, g in G[1].items():
|
||||
g['奖励额'] = BASE_GOOD
|
||||
g['奖励额_其他'] = BASE_OTHER
|
||||
cum_q = g['实际'] >= g['应考核'] and g['应考核'] > 0
|
||||
cum_over = max(0, g['实际'] - g['应考核']) if cum_q else 0
|
||||
g['可结转'] = int(cum_over // TARGET_KM) if TARGET_KM > 0 else 0
|
||||
g['累计已发结转'] = 0
|
||||
# 方案3: 1月已发 = 有达标 (仅300未达标不算)
|
||||
g['1月已发'] = g['有达标']
|
||||
g['cum_t'] = g['应考核']
|
||||
g['cum_a'] = g['实际']
|
||||
g['cum_q'] = cum_q
|
||||
|
||||
all_data = {1: {'结转': [], '当月达标(800)': [], '当月未达标(300)': []}}
|
||||
for k, g in G[1].items():
|
||||
# 按组统计: 有达标→当月达标(合并金额), 全未达标→当月未达标
|
||||
if g['有达标']:
|
||||
all_data[1]['当月达标(800)'].append({'车牌': k[0], '销售': g['销售'], '部门': g['部门'], '额': g['奖金']})
|
||||
elif g['奖金'] > 0:
|
||||
all_data[1]['当月未达标(300)'].append({'车牌': k[0], '销售': g['销售'], '部门': g['部门'], '额': g['奖金']})
|
||||
|
||||
# 逐月计算: 2→5
|
||||
for month in range(2, 6):
|
||||
if month not in G:
|
||||
continue
|
||||
data_m = {'结转': [], '当月达标(800)': [], '当月未达标(300)': []}
|
||||
prev_m = month - 1
|
||||
days_m = DAYS[month]
|
||||
|
||||
for k, gm in G[month].items():
|
||||
gp = G[prev_m].get(k)
|
||||
|
||||
# 累计
|
||||
cum_t = (gp['cum_t'] if gp else 0) + gm['应考核']
|
||||
cum_a = (gp['cum_a'] if gp else 0) + gm['实际']
|
||||
cum_q = cum_a >= cum_t and cum_t > 0
|
||||
|
||||
# 结转: 800 (整月)
|
||||
carry = 0
|
||||
p_carry = gp['可结转'] if gp else 0
|
||||
if gp and p_carry >= 1:
|
||||
carry = BASE_CARRY
|
||||
data_m['结转'].append({'车牌': k[0], '销售': gp['销售'], '部门': gm['部门'], '额': carry})
|
||||
|
||||
# 当月奖金: 按组统计(同方案1), 有达标→当月达标, 全未达标→当月未达标
|
||||
if carry == 0 and gm['奖金'] > 0:
|
||||
ptype = '当月达标(800)' if gm['有达标'] else '当月未达标(300)'
|
||||
data_m[ptype].append({'车牌': k[0], '销售': gm['销售'], '部门': gm['部门'], '额': gm['奖金']})
|
||||
|
||||
# 补发历史月: 500基准
|
||||
for back_m in range(1, month):
|
||||
label = f'补发{back_m}月'
|
||||
if label not in data_m:
|
||||
data_m[label] = []
|
||||
g_bm = G[back_m].get(k)
|
||||
if not g_bm:
|
||||
continue
|
||||
# 方案3: 历史月已发 = 有达标/已结转/已补发/已累计补发. 仅拿300未达标不算已发.
|
||||
bm_paid = g_bm.get(f'{back_m}月已发', g_bm['有达标'])
|
||||
if bm_paid:
|
||||
continue
|
||||
bm_paid_later = False
|
||||
for later_m in range(back_m + 1, month):
|
||||
gl = G[later_m].get(k)
|
||||
if gl and gl.get(f'补发{back_m}月', 0) > 0:
|
||||
bm_paid_later = True
|
||||
break
|
||||
if bm_paid_later:
|
||||
continue
|
||||
if cum_q:
|
||||
bj = BASE_OTHER * (g_bm['天数'] / DAYS[back_m])
|
||||
data_m[label].append({'车牌': k[0], '销售': g_bm['销售'], '部门': gm['部门'], '额': bj})
|
||||
gm[f'补发{back_m}月'] = bj
|
||||
|
||||
# 累计补发当月: 500基准
|
||||
label_cbp = f'累计补发{month}月'
|
||||
if label_cbp not in data_m:
|
||||
data_m[label_cbp] = []
|
||||
cbp = 0
|
||||
if not gm['有达标'] and carry == 0 and cum_q:
|
||||
cbp = BASE_OTHER * (gm['天数'] / days_m)
|
||||
data_m[label_cbp].append({'车牌': k[0], '销售': gm['销售'], '部门': gm['部门'], '额': cbp})
|
||||
|
||||
gm['cum_t'] = cum_t
|
||||
gm['cum_a'] = cum_a
|
||||
gm['cum_q'] = cum_q
|
||||
gm['结转'] = carry
|
||||
gm['当月奖金'] = gm['奖金'] if carry == 0 else 0
|
||||
gm['累计补发当月'] = cbp
|
||||
gm['奖励额'] = BASE_GOOD
|
||||
gm['奖励额_其他'] = BASE_OTHER
|
||||
# 方案3: 已发 = 结转/当月有达标/累计补发 (仅300未达标不算已发，可后续补发)
|
||||
gm[f'{month}月已发'] = carry > 0 or gm['有达标'] or cbp > 0
|
||||
|
||||
# 更新可结转
|
||||
cum_over = max(0, cum_a - cum_t) if cum_q else 0
|
||||
earned = int(cum_over // TARGET_KM) if TARGET_KM > 0 else 0
|
||||
prev_used = gp['累计已发结转'] if gp else 0
|
||||
cur_used = prev_used + (1 if carry > 0 else 0)
|
||||
gm['累计已发结转'] = cur_used
|
||||
gm['可结转'] = max(0, earned - cur_used)
|
||||
|
||||
# 补充: 上个月有结转但本月无考核记录的车
|
||||
for k, gp in G[prev_m].items():
|
||||
if k not in G[month] and gp.get('可结转', 0) >= 1:
|
||||
carry = BASE_CARRY
|
||||
data_m['结转'].append({'车牌': k[0], '销售': gp['销售'], '部门': gp['部门'], '额': carry})
|
||||
G[month][k] = {
|
||||
'recs': [], '应考核': TARGET_KM, '实际': 0, '奖金': 0, '天数': days_m,
|
||||
'有达标': False, '目标km': TARGET_KM, '部门': gp['部门'], '销售': gp['销售'],
|
||||
'车牌': k[0], '奖励额': BASE_GOOD, '奖励额_其他': BASE_OTHER,
|
||||
'cum_t': gp.get('cum_t', 0) + TARGET_KM, 'cum_a': gp.get('cum_a', 0),
|
||||
'cum_q': False,
|
||||
'结转': carry, '当月奖金': 0,
|
||||
f'{month}月已发': True,
|
||||
'可结转': max(0, gp['可结转'] - 1),
|
||||
'累计已发结转': gp.get('累计已发结转', 0) + 1,
|
||||
'虚拟': True,
|
||||
}
|
||||
for bm in range(1, month):
|
||||
G[month][k][f'补发{bm}月'] = 0
|
||||
|
||||
all_data[month] = data_m
|
||||
|
||||
pay_records = collect_payments_s3(G, all_data)
|
||||
|
||||
return D[5], G[5], all_data.get(5, {}), pay_records
|
||||
|
||||
|
||||
def collect_payments_s3(G, all_data):
|
||||
"""收集方案3的5月发放记录"""
|
||||
records = []
|
||||
m5 = all_data.get(5, {})
|
||||
for cat, items in m5.items():
|
||||
for d in items:
|
||||
records.append({
|
||||
'车牌': d['车牌'], '销售': d['销售'], '部门': d.get('部门', ''),
|
||||
'金额': d['额'], '类型': cat, '结算月': 5
|
||||
})
|
||||
records.sort(key=lambda x: (x['车牌'], x['类型']))
|
||||
return records
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Excel 输出
|
||||
# ============================================================
|
||||
|
||||
def write_xlsx_s1(recs_5, G5, data5, pay_records, filepath):
|
||||
"""方案1输出"""
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
# Sheet 1: 规则
|
||||
ws = wb.active
|
||||
ws.title = '考核规则'
|
||||
ws.append(['方案1: 保留原逻辑'])
|
||||
ws.append(['考核目标', '羚牛100辆18T'])
|
||||
ws.append(['月度目标里程', '6000km'])
|
||||
ws.append(['奖励金额(达标)', '1000元/月 (按考核天数/当月天数折算)'])
|
||||
ws.append(['结转奖励', '1000元/次 (消耗1个月目标)'])
|
||||
ws.append(['补发/累计补发', '1000元/月 (按考核天数/当月天数折算)'])
|
||||
ws.append(['规则', '达标→1000, 结转→1000, 补发→1000×折算, 累计补发当月→1000×折算'])
|
||||
set_col_widths(ws, [30, 60])
|
||||
|
||||
# Sheet 2: 5月里程明细
|
||||
write_mileage_detail(wb, recs_5, '5月里程明细')
|
||||
|
||||
# Sheet 3: 计算过程
|
||||
ws3 = wb.create_sheet('5月计算过程')
|
||||
ws3.append(['车牌号', '销售经理', '部门', '5月应考核', '5月实际', '5月达标',
|
||||
'累计应考核', '累计实际', '累计达标', '可结转', '结转发放',
|
||||
'当月奖金', '累计补发5月', '补发1月', '补发2月', '补发3月', '补发4月',
|
||||
'5月总发放'])
|
||||
for k, g in sorted(G5.items()):
|
||||
if g.get('虚拟'):
|
||||
continue
|
||||
cum_q_str = '是' if g.get('cum_q') else '否'
|
||||
dq_str = '是' if g['有达标'] else '否'
|
||||
total = (g.get('结转', 0) + g.get('当月奖金', 0) + g.get('累计补发当月', 0) +
|
||||
g.get('补发1月', 0) + g.get('补发2月', 0) + g.get('补发3月', 0) +
|
||||
g.get('补发4月', 0))
|
||||
ws3.append([k[0], k[1], g['部门'], g['应考核'], g['实际'], dq_str,
|
||||
g.get('cum_t', ''), g.get('cum_a', ''), cum_q_str,
|
||||
g.get('可结转', 0), g.get('结转', 0),
|
||||
g.get('当月奖金', 0), g.get('累计补发当月', 0),
|
||||
g.get('补发1月', 0), g.get('补发2月', 0), g.get('补发3月', 0),
|
||||
g.get('补发4月', 0), total])
|
||||
set_col_widths(ws3, [14, 10, 30, 12, 12, 10, 12, 12, 10, 10, 12, 12, 14, 12, 12, 12, 12, 14])
|
||||
|
||||
# Sheet 4: 发放明细
|
||||
ws4 = wb.create_sheet('5月发放明细')
|
||||
ws4.append(['车牌号', '销售经理', '部门', '金额', '发放类型'])
|
||||
for r in pay_records:
|
||||
ws4.append([r['车牌'], r['销售'], r['部门'], round(r['金额'], 2), r['类型']])
|
||||
# 汇总行
|
||||
total = sum(r['金额'] for r in pay_records)
|
||||
ws4.append([])
|
||||
ws4.append(['', '', '合计', round(total, 2), ''])
|
||||
set_col_widths(ws4, [14, 10, 30, 12, 20])
|
||||
|
||||
# Sheet 5: 汇总
|
||||
ws5 = wb.create_sheet('汇总')
|
||||
ws5.append(['方案1: 原逻辑 (1000元基准)'])
|
||||
ws5.append(['发放类型', '辆数', '金额合计'])
|
||||
from collections import defaultdict
|
||||
cat_sum = defaultdict(float)
|
||||
cat_cnt = defaultdict(int)
|
||||
for r in pay_records:
|
||||
cat_sum[r['类型']] += r['金额']
|
||||
cat_cnt[r['类型']] += 1
|
||||
for cat in ['当月', '结转', '累计补发5月', '补发1月', '补发2月', '补发3月', '补发4月']:
|
||||
if cat in cat_sum:
|
||||
ws5.append([cat, cat_cnt[cat], round(cat_sum[cat], 2)])
|
||||
ws5.append(['合计', sum(cat_cnt.values()), round(sum(cat_sum.values()), 2)])
|
||||
set_col_widths(ws5, [20, 10, 15])
|
||||
|
||||
wb.save(filepath)
|
||||
print(f' ✅ {filepath}')
|
||||
|
||||
|
||||
def write_xlsx_s2(recs_5, pay_records, filepath):
|
||||
"""方案2输出"""
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
# Sheet 1: 规则
|
||||
ws = wb.active
|
||||
ws.title = '考核规则'
|
||||
ws.append(['方案2: 新测算简化版 (仅当月)'])
|
||||
ws.append(['考核目标', '羚牛100辆18T'])
|
||||
ws.append(['月度目标里程', '6000km'])
|
||||
ws.append(['当月达标', '800元 × (考核天数/31天)'])
|
||||
ws.append(['当月未达标', '300元 × (考核天数/31天)'])
|
||||
ws.append(['结转/补发/累计', '不计算'])
|
||||
ws.append(['规则', '只看5月当月，按(车牌+销售)分组统计'])
|
||||
set_col_widths(ws, [30, 60])
|
||||
|
||||
# Sheet 2: 5月里程明细
|
||||
write_mileage_detail(wb, recs_5, '5月里程明细')
|
||||
|
||||
# Sheet 3: 发放明细
|
||||
ws3 = wb.create_sheet('5月发放明细')
|
||||
ws3.append(['车牌号', '销售经理', '部门', '金额', '发放类型'])
|
||||
for r in pay_records:
|
||||
ws3.append([r['车牌'], r['销售'], r['部门'], round(r['金额'], 2), r['类型']])
|
||||
total = sum(r['金额'] for r in pay_records)
|
||||
ws3.append([])
|
||||
ws3.append(['', '', '合计', round(total, 2), ''])
|
||||
set_col_widths(ws3, [14, 10, 30, 12, 20])
|
||||
|
||||
# Sheet 4: 汇总
|
||||
ws4 = wb.create_sheet('汇总')
|
||||
ws4.append(['方案2: 简化版 (800/300, 仅当月)'])
|
||||
ws4.append(['发放类型', '辆数', '金额合计'])
|
||||
cat_sum = defaultdict(float)
|
||||
cat_cnt = defaultdict(int)
|
||||
for r in pay_records:
|
||||
cat_sum[r['类型']] += r['金额']
|
||||
cat_cnt[r['类型']] += 1
|
||||
for cat in sorted(cat_sum.keys()):
|
||||
ws4.append([cat, cat_cnt[cat], round(cat_sum[cat], 2)])
|
||||
ws4.append(['合计', sum(cat_cnt.values()), round(sum(cat_sum.values()), 2)])
|
||||
set_col_widths(ws4, [25, 10, 15])
|
||||
|
||||
wb.save(filepath)
|
||||
print(f' ✅ {filepath}')
|
||||
|
||||
|
||||
def write_xlsx_s3(recs_5, G5, data5, pay_records, filepath):
|
||||
"""方案3输出"""
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
# Sheet 1: 规则
|
||||
ws = wb.active
|
||||
ws.title = '考核规则'
|
||||
ws.append(['方案3: 新测算完整版 (800/300/500, 结转800 补发500)'])
|
||||
ws.append(['考核目标', '羚牛100辆18T'])
|
||||
ws.append(['月度目标里程', '6000km'])
|
||||
ws.append(['当月达标', '800元 × (考核天数/31天)'])
|
||||
ws.append(['当月未达标', '300元 × (考核天数/31天)'])
|
||||
ws.append(['结转奖励', '800元/次 (消耗1个月目标)'])
|
||||
ws.append(['补发历史月', '500元 × (历史月考核天数/历史月天数)'])
|
||||
ws.append(['累计补发当月', '500元 × (当月考核天数/31天)'])
|
||||
ws.append(['规则', '当月达标800/未达标300 → 结转800 → 补发500 → 累计补发500'])
|
||||
set_col_widths(ws, [30, 60])
|
||||
|
||||
# Sheet 2: 5月里程明细
|
||||
write_mileage_detail(wb, recs_5, '5月里程明细')
|
||||
|
||||
# Sheet 3: 计算过程
|
||||
ws3 = wb.create_sheet('5月计算过程')
|
||||
ws3.append(['车牌号', '销售经理', '部门', '5月应考核', '5月实际', '5月达标',
|
||||
'累计应考核', '累计实际', '累计达标', '可结转', '结转发放(800)',
|
||||
'当月奖金', '累计补发5月(500)', '补发1月', '补发2月', '补发3月', '补发4月',
|
||||
'5月总发放'])
|
||||
for k, g in sorted(G5.items()):
|
||||
if g.get('虚拟'):
|
||||
continue
|
||||
cum_q_str = '是' if g.get('cum_q') else '否'
|
||||
dq_str = '是' if g['有达标'] else '否'
|
||||
total = (g.get('结转', 0) + g.get('当月奖金', 0) + g.get('累计补发当月', 0) +
|
||||
g.get('补发1月', 0) + g.get('补发2月', 0) + g.get('补发3月', 0) +
|
||||
g.get('补发4月', 0))
|
||||
ws3.append([k[0], k[1], g['部门'], g['应考核'], g['实际'], dq_str,
|
||||
g.get('cum_t', ''), g.get('cum_a', ''), cum_q_str,
|
||||
g.get('可结转', 0), g.get('结转', 0),
|
||||
g.get('当月奖金', 0), g.get('累计补发当月', 0),
|
||||
g.get('补发1月', 0), g.get('补发2月', 0), g.get('补发3月', 0),
|
||||
g.get('补发4月', 0), total])
|
||||
set_col_widths(ws3, [14, 10, 30, 12, 12, 10, 12, 12, 10, 10, 14, 12, 16, 12, 12, 12, 12, 14])
|
||||
|
||||
# Sheet 4: 发放明细
|
||||
ws4 = wb.create_sheet('5月发放明细')
|
||||
ws4.append(['车牌号', '销售经理', '部门', '金额', '发放类型'])
|
||||
for r in pay_records:
|
||||
ws4.append([r['车牌'], r['销售'], r['部门'], round(r['金额'], 2), r['类型']])
|
||||
total = sum(r['金额'] for r in pay_records)
|
||||
ws4.append([])
|
||||
ws4.append(['', '', '合计', round(total, 2), ''])
|
||||
set_col_widths(ws4, [14, 10, 30, 12, 20])
|
||||
|
||||
# Sheet 5: 汇总
|
||||
ws5 = wb.create_sheet('汇总')
|
||||
ws5.append(['方案3: 完整版 (800/300/500)'])
|
||||
ws5.append(['发放类型', '辆数', '金额合计'])
|
||||
cat_sum = defaultdict(float)
|
||||
cat_cnt = defaultdict(int)
|
||||
for r in pay_records:
|
||||
cat_sum[r['类型']] += r['金额']
|
||||
cat_cnt[r['类型']] += 1
|
||||
for cat in ['当月达标(800)', '当月未达标(300)', '结转', '累计补发5月', '补发1月', '补发2月', '补发3月', '补发4月']:
|
||||
if cat in cat_sum:
|
||||
ws5.append([cat, cat_cnt[cat], round(cat_sum[cat], 2)])
|
||||
ws5.append(['合计', sum(cat_cnt.values()), round(sum(cat_sum.values()), 2)])
|
||||
set_col_widths(ws5, [20, 10, 15])
|
||||
|
||||
wb.save(filepath)
|
||||
print(f' ✅ {filepath}')
|
||||
|
||||
|
||||
def write_mileage_detail(wb, recs, sheet_name):
|
||||
"""里程明细sheet"""
|
||||
ws = wb.create_sheet(sheet_name)
|
||||
ws.append(['车牌号', '销售经理', '部门', '客户', '考核天数', '应考核里程',
|
||||
'实际里程', '是否达标', '月度目标'])
|
||||
for r in recs:
|
||||
ws.append([r['车牌号'], r['销售经理'], r.get('部门名称', ''),
|
||||
r.get('客户名称', ''), r['考核天数'], r['应考核里程(km)'],
|
||||
r['实际行驶里程(km)'], r['是否达标'], TARGET_KM])
|
||||
set_col_widths(ws, [14, 10, 30, 35, 10, 12, 12, 10, 10])
|
||||
|
||||
|
||||
def set_col_widths(ws, widths):
|
||||
for i, w in enumerate(widths, 1):
|
||||
ws.column_dimensions[openpyxl.utils.get_column_letter(i)].width = w
|
||||
|
||||
|
||||
# ============================================================
|
||||
# 主流程
|
||||
# ============================================================
|
||||
|
||||
def main():
|
||||
os.makedirs(OUTPUT_DIR, exist_ok=True)
|
||||
|
||||
# 所有计算
|
||||
recs_5, G5_s1, data5_s1, pay_s1 = calc_s1()
|
||||
recs_5_s2, pay_s2 = calc_s2()
|
||||
recs_5_s3, G5_s3, data5_s3, pay_s3 = calc_s3()
|
||||
|
||||
# 汇总各方案
|
||||
import unicodedata
|
||||
def vw(s):
|
||||
return sum(2 if unicodedata.east_asian_width(c) in ('F','W') else 1 for c in str(s))
|
||||
def padr(s, w):
|
||||
return ' ' * (w - vw(s)) + str(s)
|
||||
def padl(s, w):
|
||||
return str(s) + ' ' * (w - vw(s))
|
||||
|
||||
def cats(dl, *keys):
|
||||
cnt = sum(sum(1 for r in dl if r['类型']==k) for k in keys)
|
||||
amt = sum(sum(r['金额'] for r in dl if r['类型']==k) for k in keys)
|
||||
return cnt, amt
|
||||
|
||||
def cell(amt, cnt):
|
||||
if cnt == 0: return '—'
|
||||
return f'{amt:,.2f} ({cnt}辆)'
|
||||
|
||||
rows = [
|
||||
('当月达标', cats(pay_s1, '当月'), cats(pay_s2, '当月达标(800)'), cats(pay_s3, '当月达标(800)')),
|
||||
('当月未达标', cats(pay_s1), cats(pay_s2, '当月未达标(300)'), cats(pay_s3, '当月未达标(300)')),
|
||||
('结转', cats(pay_s1, '结转'), cats(pay_s2), cats(pay_s3, '结转')),
|
||||
('累计补发当月', cats(pay_s1, '累计补发5月'), cats(pay_s2), cats(pay_s3, '累计补发5月')),
|
||||
('补发2月', cats(pay_s1, '补发2月'), cats(pay_s2), cats(pay_s3, '补发2月')),
|
||||
('补发3月', cats(pay_s1, '补发3月'), cats(pay_s2), cats(pay_s3, '补发3月')),
|
||||
('补发4月', cats(pay_s1, '补发4月'), cats(pay_s2), cats(pay_s3, '补发4月')),
|
||||
]
|
||||
t1 = sum(r['金额'] for r in pay_s1)
|
||||
t2 = sum(r['金额'] for r in pay_s2)
|
||||
t3 = sum(r['金额'] for r in pay_s3)
|
||||
|
||||
H1, H2, H3 = '方案1: 原逻辑 (1000)', '方案2: 简化 (800/300)', '方案3: 完整 (结转800 补发500)'
|
||||
W0, W1, W2, W3 = 15, 24, 24, 27
|
||||
|
||||
print()
|
||||
print(' 三方案对比')
|
||||
print(f" ┌{'─'*W0}┬{'─'*W1}┬{'─'*W2}┬{'─'*W3}┐")
|
||||
print(f" │{padl('',W0)}│{padl(H1,W1)}│{padl(H2,W2)}│{padl(H3,W3)}│")
|
||||
for i, (label, vs1, vs2, vs3) in enumerate(rows):
|
||||
if i == 2:
|
||||
print(f" ├{'─'*W0}┼{'─'*W1}┼{'─'*W2}┼{'─'*W3}┤")
|
||||
c1 = cell(vs1[1], vs1[0]); c2 = cell(vs2[1], vs2[0]); c3 = cell(vs3[1], vs3[0])
|
||||
print(f" │{padl(label,W0)}│{padr(c1,W1)}│{padr(c2,W2)}│{padr(c3,W3)}│")
|
||||
print(f" ├{'─'*W0}┼{'─'*W1}┼{'─'*W2}┼{'─'*W3}┤")
|
||||
print(f" │{padl('合计',W0)}│{padr(f'{t1:,.2f}',W1)}│{padr(f'{t2:,.2f}',W2)}│{padr(f'{t3:,.2f}',W3)}│")
|
||||
print(f" └{'─'*W0}┴{'─'*W1}┴{'─'*W2}┴{'─'*W3}┘")
|
||||
|
||||
# 写Excel
|
||||
print("\n生成Excel文件...")
|
||||
write_xlsx_s1(recs_5, G5_s1, data5_s1, pay_s1,
|
||||
os.path.join(OUTPUT_DIR, '方案1_原逻辑_1000基准.xlsx'))
|
||||
write_xlsx_s2(recs_5_s2, pay_s2,
|
||||
os.path.join(OUTPUT_DIR, '方案2_简化版_800_300仅当月.xlsx'))
|
||||
write_xlsx_s3(recs_5_s3, G5_s3, data5_s3, pay_s3,
|
||||
os.path.join(OUTPUT_DIR, '方案3_完整版_800_300_500.xlsx'))
|
||||
print(f"文件输出到: {OUTPUT_DIR}/")
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
+553
@@ -0,0 +1,553 @@
|
||||
openapi: 3.0.3
|
||||
info:
|
||||
title: 车辆数据开放平台 API
|
||||
version: 1.1.0
|
||||
license:
|
||||
name: Proprietary
|
||||
description: |
|
||||
向授权合作方开放车辆单日用氢量、单日里程和指定时刻总里程。
|
||||
appKey 和逐车授权必须完整覆盖查询自然日。
|
||||
servers:
|
||||
- url: /
|
||||
description: 当前服务
|
||||
tags:
|
||||
- name: 合作方数据接口
|
||||
description: 使用 appKey 查询已授权车辆的日统计数据
|
||||
- name: 开放平台管理
|
||||
description: 仅车辆数据平台管理员可调用的应用和车辆授权管理接口
|
||||
paths:
|
||||
/api/v1/vehicles/hydrogen-consumption/query:
|
||||
post:
|
||||
tags: [合作方数据接口]
|
||||
summary: 查询车辆单日用氢量
|
||||
operationId: queryDailyHydrogenConsumption
|
||||
security:
|
||||
- AppKeyAuth: []
|
||||
requestBody:
|
||||
required: true
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/VehicleDailyQuery'
|
||||
example:
|
||||
plateNumbers: [粤A12345, 粤B67890]
|
||||
date: '2026-07-01'
|
||||
responses:
|
||||
'200':
|
||||
description: 查询成功；无数据车辆仍保留在结果中
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/HydrogenQueryResponse'
|
||||
'400':
|
||||
$ref: '#/components/responses/BadRequest'
|
||||
'401':
|
||||
$ref: '#/components/responses/Unauthorized'
|
||||
'403':
|
||||
$ref: '#/components/responses/Forbidden'
|
||||
'500':
|
||||
$ref: '#/components/responses/InternalError'
|
||||
/api/v1/vehicles/mileage/query:
|
||||
post:
|
||||
tags: [合作方数据接口]
|
||||
summary: 查询车辆单日里程
|
||||
operationId: queryDailyMileage
|
||||
security:
|
||||
- AppKeyAuth: []
|
||||
requestBody:
|
||||
required: true
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/VehicleDailyQuery'
|
||||
example:
|
||||
plateNumbers: [粤A12345]
|
||||
date: '2026-07-01'
|
||||
responses:
|
||||
'200':
|
||||
description: 查询成功；无数据车辆仍保留在结果中
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/MileageQueryResponse'
|
||||
'400':
|
||||
$ref: '#/components/responses/BadRequest'
|
||||
'401':
|
||||
$ref: '#/components/responses/Unauthorized'
|
||||
'403':
|
||||
$ref: '#/components/responses/Forbidden'
|
||||
'500':
|
||||
$ref: '#/components/responses/InternalError'
|
||||
/api/v1/vehicles/total-mileage/query:
|
||||
post:
|
||||
tags: [合作方数据接口]
|
||||
summary: 查询指定时刻的车辆总里程
|
||||
description: |
|
||||
返回不晚于请求时间的最近一条有效总里程记录、实际记录时间和时间差秒数。
|
||||
protocol 不传时严格按 GB32960 > YUTONG_MQTT > JT808 选择首个有数据的协议。
|
||||
GB32960 和 YUTONG_MQTT 为车辆仪表盘或车端累计里程；JT808 为定位终端/GPS侧累计里程。
|
||||
operationId: queryTotalMileageAtTime
|
||||
security:
|
||||
- AppKeyAuth: []
|
||||
requestBody:
|
||||
required: true
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/TotalMileageQuery'
|
||||
example:
|
||||
vin: LA9GG68L2PBAF4790
|
||||
time: '2026-07-21 09:30:00'
|
||||
protocol: '32960'
|
||||
responses:
|
||||
'200':
|
||||
description: 查询成功；没有可用记录时返回 NO_DATA
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/TotalMileageQueryResponse'
|
||||
'400':
|
||||
$ref: '#/components/responses/BadRequest'
|
||||
'401':
|
||||
$ref: '#/components/responses/Unauthorized'
|
||||
'403':
|
||||
$ref: '#/components/responses/Forbidden'
|
||||
'500':
|
||||
$ref: '#/components/responses/InternalError'
|
||||
/api/v2/open-platform/apps:
|
||||
get:
|
||||
tags: [开放平台管理]
|
||||
summary: 查询开放平台应用
|
||||
operationId: listOpenPlatformApps
|
||||
security:
|
||||
- AdminBearer: []
|
||||
responses:
|
||||
'200':
|
||||
description: 应用列表
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/AdminAppListResponse'
|
||||
'401':
|
||||
description: 未登录
|
||||
'403':
|
||||
description: 非管理员
|
||||
post:
|
||||
tags: [开放平台管理]
|
||||
summary: 创建应用和 appKey
|
||||
description: appKey 明文仅在本次响应中返回。
|
||||
operationId: createOpenPlatformApp
|
||||
security:
|
||||
- AdminBearer: []
|
||||
requestBody:
|
||||
required: true
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/AppInput'
|
||||
responses:
|
||||
'200':
|
||||
description: 创建成功
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/AdminAppCreatedResponse'
|
||||
'400':
|
||||
description: 参数错误
|
||||
'401':
|
||||
description: 未登录
|
||||
'403':
|
||||
description: 非管理员
|
||||
/api/v2/open-platform/apps/{id}:
|
||||
put:
|
||||
tags: [开放平台管理]
|
||||
summary: 更新应用状态和有效期
|
||||
operationId: updateOpenPlatformApp
|
||||
security:
|
||||
- AdminBearer: []
|
||||
parameters:
|
||||
- $ref: '#/components/parameters/AppId'
|
||||
requestBody:
|
||||
required: true
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/AppInput'
|
||||
responses:
|
||||
'200':
|
||||
description: 更新成功
|
||||
'400':
|
||||
description: 参数错误
|
||||
'404':
|
||||
description: 应用不存在
|
||||
/api/v2/open-platform/apps/{id}/rotate-key:
|
||||
post:
|
||||
tags: [开放平台管理]
|
||||
summary: 轮换 appKey
|
||||
description: 旧 Key 立即失效，新 Key 明文仅在本次响应中返回。
|
||||
operationId: rotateOpenPlatformAppKey
|
||||
security:
|
||||
- AdminBearer: []
|
||||
parameters:
|
||||
- $ref: '#/components/parameters/AppId'
|
||||
responses:
|
||||
'200':
|
||||
description: 轮换成功
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/AdminAppCreatedResponse'
|
||||
'404':
|
||||
description: 应用不存在
|
||||
/api/v2/open-platform/apps/{id}/vehicles:
|
||||
get:
|
||||
tags: [开放平台管理]
|
||||
summary: 查询应用的车辆授权
|
||||
operationId: listOpenPlatformVehicleGrants
|
||||
security:
|
||||
- AdminBearer: []
|
||||
parameters:
|
||||
- $ref: '#/components/parameters/AppId'
|
||||
responses:
|
||||
'200':
|
||||
description: 授权列表
|
||||
'404':
|
||||
description: 应用不存在
|
||||
put:
|
||||
tags: [开放平台管理]
|
||||
summary: 完整替换车辆授权
|
||||
operationId: replaceOpenPlatformVehicleGrants
|
||||
security:
|
||||
- AdminBearer: []
|
||||
parameters:
|
||||
- $ref: '#/components/parameters/AppId'
|
||||
requestBody:
|
||||
required: true
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/VehicleGrantRequest'
|
||||
responses:
|
||||
'200':
|
||||
description: 替换成功
|
||||
'400':
|
||||
description: VIN 或有效期不正确
|
||||
'404':
|
||||
description: 应用不存在
|
||||
components:
|
||||
securitySchemes:
|
||||
AppKeyAuth:
|
||||
type: http
|
||||
scheme: bearer
|
||||
bearerFormat: 32-character appKey
|
||||
description: 32 位无连字符 UUID appKey
|
||||
AdminBearer:
|
||||
type: http
|
||||
scheme: bearer
|
||||
bearerFormat: Platform session token
|
||||
description: 车辆数据平台管理员令牌
|
||||
parameters:
|
||||
AppId:
|
||||
name: id
|
||||
in: path
|
||||
required: true
|
||||
schema:
|
||||
type: integer
|
||||
format: int64
|
||||
minimum: 1
|
||||
responses:
|
||||
BadRequest:
|
||||
description: 请求参数不正确
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/ErrorResponse'
|
||||
examples:
|
||||
invalidDate:
|
||||
value:
|
||||
code: INVALID_DATE_FORMAT
|
||||
message: date格式必须为yyyy-MM-dd
|
||||
traceId: 4ccf63c4e51d4d4ab9107d931783a53e
|
||||
Unauthorized:
|
||||
description: appKey 不存在、停用或过期
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/ErrorResponse'
|
||||
Forbidden:
|
||||
description: Key 或车辆授权未完整覆盖查询自然日
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/ErrorResponse'
|
||||
InternalError:
|
||||
description: 服务内部异常
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/ErrorResponse'
|
||||
schemas:
|
||||
VehicleDailyQuery:
|
||||
type: object
|
||||
additionalProperties: false
|
||||
required: [plateNumbers, date]
|
||||
properties:
|
||||
plateNumbers:
|
||||
type: array
|
||||
minItems: 1
|
||||
maxItems: 200
|
||||
uniqueItems: true
|
||||
items:
|
||||
type: string
|
||||
minLength: 1
|
||||
maxLength: 32
|
||||
description: 需要查询的车牌号
|
||||
date:
|
||||
type: string
|
||||
format: date
|
||||
description: 查询自然日，yyyy-MM-dd
|
||||
TotalMileageQuery:
|
||||
type: object
|
||||
additionalProperties: false
|
||||
required: [vin, time]
|
||||
properties:
|
||||
vin:
|
||||
type: string
|
||||
pattern: '^[A-HJ-NPR-Z0-9]{17}$'
|
||||
description: 已授权车辆 VIN
|
||||
time:
|
||||
type: string
|
||||
pattern: '^\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2}$'
|
||||
description: 请求时刻，北京时间，固定格式 yyyy-MM-dd HH:mm:ss
|
||||
protocol:
|
||||
type: string
|
||||
enum: ['32960', mqtt, '808', GB32960, YUTONG_MQTT, JT808]
|
||||
description: 可选；不传时按 GB32960 > YUTONG_MQTT > JT808
|
||||
HydrogenResult:
|
||||
type: object
|
||||
required: [plateNumber, date, hydrogenConsumptionKg, status]
|
||||
properties:
|
||||
plateNumber:
|
||||
type: string
|
||||
date:
|
||||
type: string
|
||||
format: date
|
||||
hydrogenConsumptionKg:
|
||||
type: number
|
||||
format: double
|
||||
nullable: true
|
||||
description: 单日用氢量，kg；无数据时为 null
|
||||
status:
|
||||
$ref: '#/components/schemas/DataStatus'
|
||||
MileageResult:
|
||||
type: object
|
||||
required: [plateNumber, date, dailyMileageKm, status]
|
||||
properties:
|
||||
plateNumber:
|
||||
type: string
|
||||
date:
|
||||
type: string
|
||||
format: date
|
||||
dailyMileageKm:
|
||||
type: number
|
||||
format: double
|
||||
nullable: true
|
||||
description: 单日里程，km；无数据时为 null
|
||||
status:
|
||||
$ref: '#/components/schemas/DataStatus'
|
||||
DataStatus:
|
||||
type: string
|
||||
enum: [NORMAL, NO_DATA]
|
||||
HydrogenQueryResponse:
|
||||
allOf:
|
||||
- $ref: '#/components/schemas/SuccessEnvelope'
|
||||
- type: object
|
||||
required: [data]
|
||||
properties:
|
||||
data:
|
||||
type: array
|
||||
items:
|
||||
$ref: '#/components/schemas/HydrogenResult'
|
||||
MileageQueryResponse:
|
||||
allOf:
|
||||
- $ref: '#/components/schemas/SuccessEnvelope'
|
||||
- type: object
|
||||
required: [data]
|
||||
properties:
|
||||
data:
|
||||
type: array
|
||||
items:
|
||||
$ref: '#/components/schemas/MileageResult'
|
||||
TotalMileageResult:
|
||||
type: object
|
||||
required: [vin, queryTime, totalMileageKm, selectionPolicy, status]
|
||||
properties:
|
||||
vin:
|
||||
type: string
|
||||
queryTime:
|
||||
type: string
|
||||
description: 请求时刻，北京时间
|
||||
totalMileageKm:
|
||||
type: number
|
||||
format: double
|
||||
nullable: true
|
||||
description: 总里程，km；无数据时为 null
|
||||
protocol:
|
||||
type: string
|
||||
enum: [GB32960, YUTONG_MQTT, JT808]
|
||||
description: 实际采用的采集协议
|
||||
protocolInput:
|
||||
type: string
|
||||
description: 请求中指定的协议原值；未指定时省略
|
||||
mileageMeaning:
|
||||
type: string
|
||||
description: 当前协议总里程的业务含义
|
||||
recordTime:
|
||||
type: string
|
||||
description: 命中的实际采集记录时间，北京时间
|
||||
timeDifferenceSeconds:
|
||||
type: integer
|
||||
format: int64
|
||||
minimum: 0
|
||||
description: 请求时间减实际记录时间，单位秒
|
||||
selectionPolicy:
|
||||
type: string
|
||||
example: GB32960 > YUTONG_MQTT > JT808
|
||||
status:
|
||||
$ref: '#/components/schemas/DataStatus'
|
||||
TotalMileageQueryResponse:
|
||||
allOf:
|
||||
- $ref: '#/components/schemas/SuccessEnvelope'
|
||||
- type: object
|
||||
required: [data]
|
||||
properties:
|
||||
data:
|
||||
$ref: '#/components/schemas/TotalMileageResult'
|
||||
SuccessEnvelope:
|
||||
type: object
|
||||
required: [code, message, traceId]
|
||||
properties:
|
||||
code:
|
||||
type: string
|
||||
enum: [SUCCESS]
|
||||
message:
|
||||
type: string
|
||||
example: success
|
||||
traceId:
|
||||
type: string
|
||||
example: 4ccf63c4e51d4d4ab9107d931783a53e
|
||||
ErrorResponse:
|
||||
type: object
|
||||
required: [code, message, traceId]
|
||||
properties:
|
||||
code:
|
||||
type: string
|
||||
enum:
|
||||
- INVALID_REQUEST
|
||||
- PLATE_NUMBERS_EMPTY
|
||||
- INVALID_DATE_FORMAT
|
||||
- UNAUTHORIZED
|
||||
- FORBIDDEN
|
||||
- INTERNAL_ERROR
|
||||
message:
|
||||
type: string
|
||||
traceId:
|
||||
type: string
|
||||
AppInput:
|
||||
type: object
|
||||
additionalProperties: false
|
||||
required: [name, status, validFrom]
|
||||
properties:
|
||||
name:
|
||||
type: string
|
||||
maxLength: 96
|
||||
example: 示例合作方
|
||||
status:
|
||||
type: string
|
||||
enum: [enabled, disabled]
|
||||
validFrom:
|
||||
type: string
|
||||
format: date-time
|
||||
example: '2026-07-01T00:00:00+08:00'
|
||||
validTo:
|
||||
type: string
|
||||
format: date-time
|
||||
nullable: true
|
||||
example: '2027-07-01T00:00:00+08:00'
|
||||
App:
|
||||
type: object
|
||||
required: [id, name, appKeyPrefix, status, validFrom]
|
||||
properties:
|
||||
id:
|
||||
type: integer
|
||||
format: int64
|
||||
name:
|
||||
type: string
|
||||
appKeyPrefix:
|
||||
type: string
|
||||
minLength: 8
|
||||
maxLength: 8
|
||||
status:
|
||||
type: string
|
||||
enum: [enabled, disabled]
|
||||
validFrom:
|
||||
type: string
|
||||
format: date-time
|
||||
validTo:
|
||||
type: string
|
||||
format: date-time
|
||||
nullable: true
|
||||
AppCreated:
|
||||
allOf:
|
||||
- $ref: '#/components/schemas/App'
|
||||
- type: object
|
||||
required: [appKey]
|
||||
properties:
|
||||
appKey:
|
||||
type: string
|
||||
minLength: 32
|
||||
maxLength: 32
|
||||
pattern: '^[0-9a-f]{32}$'
|
||||
description: 仅本次响应返回
|
||||
VehicleGrantRequest:
|
||||
type: object
|
||||
additionalProperties: false
|
||||
required: [vehicles]
|
||||
properties:
|
||||
vehicles:
|
||||
type: array
|
||||
maxItems: 500
|
||||
items:
|
||||
$ref: '#/components/schemas/VehicleGrantInput'
|
||||
VehicleGrantInput:
|
||||
type: object
|
||||
additionalProperties: false
|
||||
required: [vin, validFrom]
|
||||
properties:
|
||||
vin:
|
||||
type: string
|
||||
minLength: 17
|
||||
maxLength: 17
|
||||
validFrom:
|
||||
type: string
|
||||
format: date-time
|
||||
validTo:
|
||||
type: string
|
||||
format: date-time
|
||||
nullable: true
|
||||
AdminAppListResponse:
|
||||
type: object
|
||||
properties:
|
||||
data:
|
||||
type: array
|
||||
items:
|
||||
$ref: '#/components/schemas/App'
|
||||
traceId:
|
||||
type: string
|
||||
AdminAppCreatedResponse:
|
||||
type: object
|
||||
properties:
|
||||
data:
|
||||
$ref: '#/components/schemas/AppCreated'
|
||||
traceId:
|
||||
type: string
|
||||
@@ -0,0 +1,235 @@
|
||||
#!/usr/bin/env python3
|
||||
"""后处理：在核算文件中体现离职转嫁 — 当月转新销售，其他不发了"""
|
||||
import openpyxl
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
from copy import copy
|
||||
import os
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads/20260713')
|
||||
fp = '里程任务考核_6月核算.xlsx'
|
||||
|
||||
wb = openpyxl.load_workbook(fp)
|
||||
ws = wb['6月汇总']
|
||||
|
||||
# ── Styles ──
|
||||
HEAD_FILL = PatternFill('solid', fgColor='4472C4')
|
||||
HEAD_FONT = Font(bold=True, color='FFFFFF', size=10, name='宋体')
|
||||
SUB_FILL = PatternFill('solid', fgColor='D9E1F2')
|
||||
TITLE_FNT = Font(bold=True, size=12, name='宋体')
|
||||
NOTE_FNT = Font(size=10, color='C00000', name='宋体')
|
||||
NORM_FNT = Font(size=10, name='宋体')
|
||||
BOLD_FNT = Font(bold=True, size=10, name='宋体')
|
||||
THIN = Side('thin', color='B4B4B4')
|
||||
BORD = Border(THIN, THIN, THIN, THIN)
|
||||
CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
LL = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
YELLOW_FILL = PatternFill('solid', fgColor='FFF2CC')
|
||||
|
||||
# ── Find key rows ──
|
||||
row_考核应发合计 = None
|
||||
row_最终发放_title = None
|
||||
row_最终发放明细 = None
|
||||
row_按销售人员 = None
|
||||
row_按部门 = None
|
||||
row_总览 = None
|
||||
|
||||
for r in range(1, ws.max_row + 1):
|
||||
v = str(ws.cell(row=r, column=1).value or '')
|
||||
if '考核应发合计' in v and r > 50:
|
||||
row_考核应发合计 = r
|
||||
elif '三、最终发放' in v:
|
||||
row_最终发放_title = r
|
||||
elif v == '最终发放明细':
|
||||
row_最终发放明细 = r
|
||||
elif '6月最终发放（按销售人员）' in v:
|
||||
row_按销售人员 = r
|
||||
elif '6月最终发放（按部门）' in v:
|
||||
row_按部门 = r
|
||||
elif v == '总览':
|
||||
row_总览 = r
|
||||
|
||||
print(f"考核应发合计: row {row_考核应发合计}")
|
||||
print(f"三、最终发放: row {row_最终发放_title}")
|
||||
print(f"最终发放明细: row {row_最终发放明细}")
|
||||
print(f"按销售人员: row {row_按销售人员}")
|
||||
print(f"按部门: row {row_按部门}")
|
||||
print(f"总览: row {row_总览}")
|
||||
|
||||
# ── Transfer config ──
|
||||
# (离职人员, 接收人, 当月转嫁金额, 不发了金额)
|
||||
TRANSFERS = {
|
||||
'赵连飞': {'to': '刘念念', 'transfer': 2260.00, 'dept': '业务二部'},
|
||||
'伍仲文': {'to': '钟祥', 'transfer': 150.00, 'dept': '业务六部'},
|
||||
'岑彦': {'to': '钟祥', 'transfer': 30.00, 'dept': '业务六部'},
|
||||
}
|
||||
|
||||
# ── Step 1: Insert "二、离职人员当月奖金转嫁" section ──
|
||||
# Insert 9 rows after 考核应发合计 row
|
||||
insert_at = row_考核应发合计 + 1
|
||||
ws.insert_rows(insert_at, 9)
|
||||
|
||||
# Write transfer section
|
||||
r = insert_at
|
||||
ws.merge_cells(start_row=r, start_column=1, end_row=r, end_column=3)
|
||||
ws.cell(row=r, column=1, value='二、离职人员当月奖金转嫁').font = TITLE_FNT
|
||||
r += 2
|
||||
|
||||
for c, h in enumerate(['离职人员', '转嫁至', '转嫁金额', '说明'], 1):
|
||||
cell = ws.cell(row=r, column=c, value=h)
|
||||
cell.font = HEAD_FONT; cell.fill = HEAD_FILL; cell.alignment = CC; cell.border = BORD
|
||||
r += 1
|
||||
|
||||
total_transfer = 0
|
||||
for name, info in TRANSFERS.items():
|
||||
ws.cell(row=r, column=1, value=name).font = NORM_FNT
|
||||
ws.cell(row=r, column=1).alignment = CC; ws.cell(row=r, column=1).border = BORD
|
||||
ws.cell(row=r, column=2, value=info['to']).font = NORM_FNT
|
||||
ws.cell(row=r, column=2).alignment = CC; ws.cell(row=r, column=2).border = BORD
|
||||
ws.cell(row=r, column=3, value=info['transfer']).font = NORM_FNT
|
||||
ws.cell(row=r, column=3).alignment = CC; ws.cell(row=r, column=3).border = BORD
|
||||
ws.cell(row=r, column=3).number_format = '#,##0.00'
|
||||
ws.cell(row=r, column=4, value='当月达标奖金转新销售（需确认是否发放）').font = NORM_FNT
|
||||
ws.cell(row=r, column=4).alignment = LL; ws.cell(row=r, column=4).border = BORD
|
||||
total_transfer += info['transfer']
|
||||
r += 1
|
||||
|
||||
# 合计行
|
||||
for c in range(1, 5):
|
||||
ws.cell(row=r, column=c).fill = SUB_FILL; ws.cell(row=r, column=c).border = BORD
|
||||
ws.cell(row=r, column=c).font = BOLD_FNT; ws.cell(row=r, column=c).alignment = CC
|
||||
ws.cell(row=r, column=1, value='合计')
|
||||
ws.cell(row=r, column=3, value=total_transfer)
|
||||
ws.cell(row=r, column=3).number_format = '#,##0.00'
|
||||
|
||||
# ── Step 2: Update 最终发放明细 (shifted down by 9 rows) ──
|
||||
# Find the shifted positions
|
||||
shift = 9
|
||||
row_detail_header = row_最终发放明细 + shift # 最终发放明细 header
|
||||
row_detail_data_start = row_detail_header + 2 # first data row (after "销售人员|车辆数|金额")
|
||||
|
||||
print(f"\n最终发放明细 shifted to header row {row_detail_header}, data starts at {row_detail_data_start}")
|
||||
|
||||
# Parse and update the data rows
|
||||
# Data rows are from row_detail_data_start to the 总计 row
|
||||
resigned_names = set(TRANSFERS.keys())
|
||||
receiver_additions = {'刘念念': 2260.0, '钟祥': 180.0}
|
||||
|
||||
for r in range(row_detail_data_start, ws.max_row + 1):
|
||||
name_cell = ws.cell(row=r, column=1)
|
||||
amt_cell = ws.cell(row=r, column=3)
|
||||
name = str(name_cell.value or '').strip()
|
||||
|
||||
if name == '总计':
|
||||
# Update total (should remain same: 113408.28)
|
||||
break
|
||||
|
||||
if not name or name == '':
|
||||
break
|
||||
|
||||
# Update receiver amounts
|
||||
if name in receiver_additions:
|
||||
old_val = float(amt_cell.value or 0)
|
||||
new_val = old_val + receiver_additions[name]
|
||||
amt_cell.value = new_val
|
||||
print(f" {name}: {old_val:.2f} → {new_val:.2f} (+{receiver_additions[name]:.2f})")
|
||||
|
||||
# Update resigned amounts (keep only不发了)
|
||||
if name in TRANSFERS:
|
||||
old_val = float(amt_cell.value or 0)
|
||||
new_val = old_val - TRANSFERS[name]['transfer']
|
||||
amt_cell.value = new_val
|
||||
# Add note
|
||||
note_cell = ws.cell(row=r, column=4)
|
||||
note_cell.value = '不发了（仅当月转嫁）'
|
||||
note_cell.font = NOTE_FNT
|
||||
note_cell.alignment = CC
|
||||
print(f" {name}: {old_val:.2f} → {new_val:.2f} (不发了)")
|
||||
|
||||
# ── Step 3: Update 按销售人员 section ──
|
||||
row_sales_header = row_按销售人员 + shift
|
||||
print(f"\n按销售人员 shifted to header row {row_sales_header}")
|
||||
|
||||
for r in range(row_sales_header + 1, ws.max_row + 1):
|
||||
name_cell = ws.cell(row=r, column=1)
|
||||
amt_cell = ws.cell(row=r, column=3)
|
||||
name = str(name_cell.value or '').strip()
|
||||
|
||||
if name == '合计':
|
||||
break
|
||||
|
||||
if not name:
|
||||
break
|
||||
|
||||
if name in receiver_additions:
|
||||
old_val = float(amt_cell.value or 0)
|
||||
amt_cell.value = old_val + receiver_additions[name]
|
||||
|
||||
if name in TRANSFERS:
|
||||
old_val = float(amt_cell.value or 0)
|
||||
amt_cell.value = old_val - TRANSFERS[name]['transfer']
|
||||
|
||||
# ── Step 4: Update 总览 section (add notes) ──
|
||||
row_overview = row_总览 + shift
|
||||
print(f"\n总览 shifted to row {row_overview}")
|
||||
|
||||
# Add notes below总览
|
||||
note_row = row_overview + 5 # after "最终发放" row
|
||||
ws.merge_cells(start_row=note_row, start_column=1, end_row=note_row, end_column=3)
|
||||
ws.cell(row=note_row, column=1, value='').font = NORM_FNT
|
||||
note_row += 1
|
||||
|
||||
ws.merge_cells(start_row=note_row, start_column=1, end_row=note_row, end_column=3)
|
||||
ws.cell(row=note_row, column=1, value='备注：').font = BOLD_FNT
|
||||
note_row += 1
|
||||
|
||||
notes = [
|
||||
'1. 离职人员（赵连飞、伍仲文、岑彦）当月达标奖金转嫁至接收人；结转、补发、累计补发等一律不发放。',
|
||||
'2. 转嫁金额需与相关部门确认是否发放给新销售。',
|
||||
'3. 赵连飞（2026-04-30离职）→ 刘念念；伍仲文（2026-05-09离职）→ 钟祥；岑彦（2026-05-09离职）→ 钟祥。',
|
||||
]
|
||||
for note in notes:
|
||||
ws.merge_cells(start_row=note_row, start_column=1, end_row=note_row, end_column=3)
|
||||
ws.cell(row=note_row, column=1, value=note).font = NOTE_FNT
|
||||
ws.cell(row=note_row, column=1).alignment = LL
|
||||
note_row += 1
|
||||
|
||||
# ── Step 5: Rename resigned sheets with 【已离职】prefix and move to end ──
|
||||
resigned_sheet_names = {
|
||||
'二部-赵连飞': '【已离职】二部-赵连飞',
|
||||
'六部-伍仲文': '【已离职】六部-伍仲文',
|
||||
'六部-岑彦': '【已离职】六部-岑彦',
|
||||
}
|
||||
|
||||
for old_name, new_name in resigned_sheet_names.items():
|
||||
if old_name in wb.sheetnames:
|
||||
idx = wb.sheetnames.index(old_name)
|
||||
wb[old_name].title = new_name
|
||||
# Move to end
|
||||
wb.move_sheet(new_name, offset=len(wb.sheetnames) - 1 - idx)
|
||||
print(f" Sheet renamed: {old_name} → {new_name} (moved to end)")
|
||||
|
||||
# ── Save ──
|
||||
wb.save(fp)
|
||||
print(f"\n✅ {fp} 已更新")
|
||||
|
||||
# ── Verify ──
|
||||
wb2 = openpyxl.load_workbook(fp, data_only=True)
|
||||
ws2 = wb2['6月汇总']
|
||||
print("\n验证 - 最终发放明细:")
|
||||
in_detail = False
|
||||
for r in range(1, ws2.max_row + 1):
|
||||
v = str(ws2.cell(row=r, column=1).value or '')
|
||||
if v == '最终发放明细':
|
||||
in_detail = True
|
||||
continue
|
||||
if in_detail:
|
||||
name = ws2.cell(row=r, column=1).value
|
||||
amt = ws2.cell(row=r, column=3).value
|
||||
note = ws2.cell(row=r, column=4).value
|
||||
if name and name != '销售人员':
|
||||
print(f" {name}: {amt}" + (f" [{note}]" if note else ""))
|
||||
if name == '总计':
|
||||
break
|
||||
|
||||
print("\nSheets:", wb2.sheetnames)
|
||||
wb2.close()
|
||||
@@ -0,0 +1,167 @@
|
||||
#!/usr/bin/env python3
|
||||
"""按三份GPS日里程文件处理2026年7月测试车辆考核源表。"""
|
||||
from copy import copy
|
||||
from collections import defaultdict
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
import re
|
||||
import shutil
|
||||
import openpyxl
|
||||
from openpyxl.styles import PatternFill
|
||||
|
||||
BASE = Path('/Users/kkfluous/Downloads')
|
||||
OUT = BASE / '7月核算结果'
|
||||
SRC = BASE / '租赁任务考核_2026年7月 (1).xlsx'
|
||||
TEST = Path('/Users/kkfluous/Library/Containers/com.tencent.xinWeChat/Data/Documents/xwechat_files/wxid_1704407055112_3af8/temp/RWTemp/2026-08/4340099467fbf08b4c6583c49adba4ee/7月测试车辆明细.xlsx')
|
||||
GPS_DAILY = BASE / '智能管车_车辆里程日报-140106360.xlsx'
|
||||
GPS_DETAIL = [
|
||||
BASE / '里程统计[天][2026-07-01至2026-07-31].xlsx',
|
||||
BASE / '里程统计[天][2026-07-01至2026-07-31] (1).xlsx',
|
||||
]
|
||||
EXCLUDED_TEST_PLATES = {'粤AG37316'}
|
||||
ZERO_OVERRIDE = set()
|
||||
DEPARTMENT_OVERRIDE = {'粤AGP6675': '业务六部', '粤AGP9757': '业务六部'}
|
||||
|
||||
def norm(v):
|
||||
return re.sub(r'\s+', '', str(v or '')).upper()
|
||||
|
||||
def number(v):
|
||||
try:
|
||||
return float(v or 0)
|
||||
except (TypeError, ValueError):
|
||||
return 0.0
|
||||
|
||||
def read_test_plates():
|
||||
wb = openpyxl.load_workbook(TEST, data_only=True)
|
||||
ws = wb.active
|
||||
plates = {norm(r[0]) for r in ws.iter_rows(min_row=2, values_only=True) if norm(r[0])}
|
||||
wb.close()
|
||||
return plates - EXCLUDED_TEST_PLATES
|
||||
|
||||
def read_daily_matrix():
|
||||
wb = openpyxl.load_workbook(GPS_DAILY, data_only=True)
|
||||
ws = wb.active
|
||||
headers = [c.value for c in ws[1]]
|
||||
day_cols = {}
|
||||
for i, v in enumerate(headers):
|
||||
m = re.fullmatch(r'07月(\d{2})日', str(v or ''))
|
||||
if m:
|
||||
day_cols[int(m.group(1))] = i
|
||||
data = {}
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
plate = norm(row[0])
|
||||
if plate:
|
||||
data[plate] = {d: number(row[i]) for d, i in day_cols.items()}
|
||||
wb.close()
|
||||
return data
|
||||
|
||||
def read_detail_files():
|
||||
data = defaultdict(lambda: defaultdict(float))
|
||||
for path in GPS_DETAIL:
|
||||
wb = openpyxl.load_workbook(path, data_only=True)
|
||||
ws = wb.active
|
||||
headers = [c.value for c in ws[3]]
|
||||
pcol = next(i for i, v in enumerate(headers) if v and '车牌' in str(v))
|
||||
dcol = next(i for i, v in enumerate(headers) if str(v or '').strip() == '日期')
|
||||
mcol = next(i for i, v in enumerate(headers) if v and '里程' in str(v) and 'km' in str(v).lower())
|
||||
for row in ws.iter_rows(min_row=4, values_only=True):
|
||||
plate = norm(row[pcol])
|
||||
if not plate:
|
||||
continue
|
||||
try:
|
||||
dt = row[dcol] if isinstance(row[dcol], datetime) else datetime.strptime(str(row[dcol])[:10], '%Y-%m-%d')
|
||||
except (TypeError, ValueError):
|
||||
continue
|
||||
# 同一车辆同一天在两份明细中如重复，取较大值，避免重复累计。
|
||||
data[plate][dt.day] = max(data[plate][dt.day], number(row[mcol]))
|
||||
wb.close()
|
||||
return {p: dict(days) for p, days in data.items()}
|
||||
|
||||
def copy_cell_style(src, dst):
|
||||
dst._style = copy(src._style)
|
||||
if src.has_style:
|
||||
dst.number_format = src.number_format
|
||||
dst.protection = copy(src.protection)
|
||||
dst.alignment = copy(src.alignment)
|
||||
|
||||
def main():
|
||||
OUT.mkdir(parents=True, exist_ok=True)
|
||||
shutil.copy2(SRC, OUT / '租赁任务考核_2026年7月_原版备份.xlsx')
|
||||
tests = read_test_plates()
|
||||
matrix = read_daily_matrix()
|
||||
details = read_detail_files()
|
||||
|
||||
wb = openpyxl.load_workbook(SRC)
|
||||
ws = wb['业务考核视图']
|
||||
# 原表O列是实际里程。插入后统一为 O原TBOX、P实际、Q测试、R完成率、S是否达标。
|
||||
ws.insert_cols(15, 1)
|
||||
ws.insert_cols(17, 1)
|
||||
ws['O1'] = '原TBOX里程(km)'
|
||||
ws['Q1'] = '测试里程(km)'
|
||||
copy_cell_style(ws['P1'], ws['O1'])
|
||||
copy_cell_style(ws['P1'], ws['Q1'])
|
||||
yellow = PatternFill(fill_type='solid', fgColor='FFFF00')
|
||||
records = []
|
||||
missing = []
|
||||
for ri in range(2, ws.max_row + 1):
|
||||
plate = norm(ws.cell(ri, 1).value)
|
||||
if plate in DEPARTMENT_OVERRIDE:
|
||||
ws.cell(ri, 4).value = DEPARTMENT_OVERRIDE[plate]
|
||||
original = number(ws.cell(ri, 16).value)
|
||||
ws.cell(ri, 15).value = round(original, 2)
|
||||
copy_cell_style(ws.cell(ri, 16), ws.cell(ri, 15))
|
||||
copy_cell_style(ws.cell(ri, 16), ws.cell(ri, 17))
|
||||
if plate not in tests:
|
||||
ws.cell(ri, 17).value = 0
|
||||
continue
|
||||
start = ws.cell(ri, 11).value
|
||||
end = ws.cell(ri, 12).value
|
||||
start_day = start.day if isinstance(start, datetime) else 1
|
||||
end_day = end.day if isinstance(end, datetime) else 31
|
||||
if plate in ZERO_OVERRIDE:
|
||||
actual = 0.0
|
||||
source = 'GPS缺失，业务确认暂按0'
|
||||
elif plate in matrix:
|
||||
actual = sum(matrix[plate].get(d, 0) for d in range(start_day, end_day + 1))
|
||||
source = GPS_DAILY.name
|
||||
elif plate in details:
|
||||
actual = sum(details[plate].get(d, 0) for d in range(start_day, end_day + 1))
|
||||
source = '里程统计日明细'
|
||||
else:
|
||||
missing.append(plate)
|
||||
continue
|
||||
target = number(ws.cell(ri, 14).value)
|
||||
test_mileage = max(0.0, original - actual)
|
||||
rate = actual / target * 100 if target > 0 else 0
|
||||
ws.cell(ri, 16).value = round(actual, 2)
|
||||
ws.cell(ri, 17).value = round(test_mileage, 2)
|
||||
ws.cell(ri, 18).value = round(rate, 2)
|
||||
ws.cell(ri, 19).value = '达标' if target > 0 and actual >= target else '未达标'
|
||||
for cell in ws[ri]:
|
||||
cell.fill = copy(yellow)
|
||||
records.append((plate, ri, original, actual, test_mileage, source))
|
||||
if missing:
|
||||
raise RuntimeError('仍缺GPS车牌: ' + ','.join(sorted(set(missing))))
|
||||
|
||||
# 对齐5/6月的宽度、筛选和冻结窗格；保留原表其余样式。
|
||||
ref = openpyxl.load_workbook(BASE / '租赁任务考核_2026年6月.xlsx', read_only=False)
|
||||
rws = ref['业务考核视图']
|
||||
for i in range(1, 24):
|
||||
letter = openpyxl.utils.get_column_letter(i)
|
||||
if rws.column_dimensions[letter].width:
|
||||
ws.column_dimensions[letter].width = rws.column_dimensions[letter].width
|
||||
ws.freeze_panes = rws.freeze_panes
|
||||
ws.auto_filter.ref = f'A1:W{ws.max_row}'
|
||||
ref.close()
|
||||
|
||||
out = OUT / '租赁任务考核_2026年7月.xlsx'
|
||||
wb.save(out)
|
||||
wb.close()
|
||||
print(f'output={out}')
|
||||
print(f'test_list={len(tests)} intervention_records={len(records)} intervention_plates={len(set(r[0] for r in records))}')
|
||||
print(f'zero_override={sorted(ZERO_OVERRIDE)}')
|
||||
print(f'department_override={DEPARTMENT_OVERRIDE}')
|
||||
print(f'total_original={sum(r[2] for r in records):.2f} total_gps={sum(r[3] for r in records):.2f} total_test={sum(r[4] for r in records):.2f}')
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
@@ -0,0 +1,75 @@
|
||||
#!/usr/bin/env python3
|
||||
"""将用户确认的多源核算里程按车牌+考核区间回填到7月考核源表。"""
|
||||
import os
|
||||
import re
|
||||
import shutil
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
|
||||
import openpyxl
|
||||
|
||||
BASE = Path('/Users/kkfluous/Downloads')
|
||||
MILEAGE = BASE / '7月考核车辆多源里程汇总_用户确认版.xlsx'
|
||||
SOURCE = BASE / '7月核算结果/租赁任务考核_2026年7月.xlsx'
|
||||
OUTPUT_DIR = Path(os.environ.get('JULY_OUTPUT_DIR', BASE / '7月绩效重算_多源考核里程_20260817'))
|
||||
OUTPUT = OUTPUT_DIR / '租赁任务考核_2026年7月.xlsx'
|
||||
|
||||
def norm(v):
|
||||
return re.sub(r'\s+', '', str(v or '')).upper()
|
||||
|
||||
def day(v):
|
||||
return v.date() if isinstance(v, datetime) else v
|
||||
|
||||
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
|
||||
shutil.copy2(SOURCE, OUTPUT)
|
||||
|
||||
mw = openpyxl.load_workbook(MILEAGE, data_only=True)
|
||||
ms = mw['7月考核车辆里程汇总']
|
||||
mh = {ms.cell(2, c).value: c for c in range(1, ms.max_column + 1)}
|
||||
mileage = {}
|
||||
for r in range(3, ms.max_row + 1):
|
||||
key = (norm(ms.cell(r, mh['车牌']).value), day(ms.cell(r, mh['考核开始日期']).value),
|
||||
day(ms.cell(r, mh['考核结束日期']).value))
|
||||
value = ms.cell(r, mh['核算里程(km)']).value
|
||||
if key in mileage:
|
||||
raise RuntimeError(f'多源汇总存在重复键: {key}')
|
||||
if not isinstance(value, (int, float)):
|
||||
raise RuntimeError(f'核算里程不是数值: {key}={value}')
|
||||
mileage[key] = float(value)
|
||||
mw.close()
|
||||
|
||||
wb = openpyxl.load_workbook(OUTPUT)
|
||||
ws = wb['业务考核视图']
|
||||
h = {ws.cell(1, c).value: c for c in range(1, ws.max_column + 1)}
|
||||
used = set()
|
||||
changed = 0
|
||||
for r in range(2, ws.max_row + 1):
|
||||
key = (norm(ws.cell(r, h['车牌号']).value), day(ws.cell(r, h['考核开始日期']).value),
|
||||
day(ws.cell(r, h['考核结束日期']).value))
|
||||
if key not in mileage:
|
||||
raise RuntimeError(f'7月源表记录在多源汇总中缺失: {key}')
|
||||
used.add(key)
|
||||
actual = round(mileage[key], 2)
|
||||
original = float(ws.cell(r, h['原TBOX里程(km)']).value or 0)
|
||||
target = float(ws.cell(r, h['应考核里程(km)']).value or 0)
|
||||
old_actual = float(ws.cell(r, h['实际行驶里程(km)']).value or 0)
|
||||
if abs(old_actual - actual) > 0.005:
|
||||
changed += 1
|
||||
ws.cell(r, h['实际行驶里程(km)']).value = actual
|
||||
ws.cell(r, h['测试里程(km)']).value = round(max(0, original - actual), 2)
|
||||
rate = round(actual / target * 100, 2) if target > 0 else 0
|
||||
ws.cell(r, h['完成率(%)']).value = rate
|
||||
ws.cell(r, h['是否达标']).value = '达标' if actual >= target and target > 0 else '未达标'
|
||||
for name in ['原TBOX里程(km)', '实际行驶里程(km)', '测试里程(km)']:
|
||||
ws.cell(r, h[name]).number_format = '#,##0.00'
|
||||
ws.cell(r, h['完成率(%)']).number_format = '0.00'
|
||||
|
||||
extra = set(mileage) - used
|
||||
if extra:
|
||||
raise RuntimeError(f'多源汇总存在源表未使用记录: {list(extra)[:5]}')
|
||||
|
||||
ws.freeze_panes = 'A2'
|
||||
wb.save(OUTPUT)
|
||||
wb.close()
|
||||
print({'output': str(OUTPUT), 'rows': len(used), 'changed_rows': changed})
|
||||
|
||||
@@ -0,0 +1,315 @@
|
||||
#!/usr/bin/env python3
|
||||
"""按参考格式重建 6月汇总 sheet：剔除离职，转嫁用接收人格式"""
|
||||
import openpyxl
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
from openpyxl.utils import get_column_letter
|
||||
from collections import defaultdict, OrderedDict
|
||||
import os, copy
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
fp = '里程任务考核_6月核算.xlsx'
|
||||
|
||||
# ── Config ──
|
||||
RESIGNED = {'赵连飞', '伍仲文', '岑彦'}
|
||||
TRANSFERS = [
|
||||
('刘念念', '赵连飞', 2260.00),
|
||||
('钟祥', '伍仲文、岑彦', 180.00),
|
||||
]
|
||||
TRANSFER_TOTAL = sum(t[2] for t in TRANSFERS)
|
||||
# Map resigned -> receiver for aggregation
|
||||
TRANSFER_MAP = {'赵连飞': ('刘念念', 2260.00), '伍仲文': ('钟祥', 150.00), '岑彦': ('钟祥', 30.00)}
|
||||
|
||||
# ── Styles ──
|
||||
HEAD_FILL = PatternFill('solid', fgColor='4472C4')
|
||||
HEAD_FONT = Font(bold=True, color='FFFFFF', size=10, name='宋体')
|
||||
SUB_FILL = PatternFill('solid', fgColor='D9E1F2')
|
||||
TITLE_FNT = Font(bold=True, size=12, name='宋体')
|
||||
SECTION_FNT = Font(bold=True, size=11, name='宋体')
|
||||
NOTE_FNT = Font(size=10, color='C00000', name='宋体')
|
||||
NORM_FNT = Font(size=10, name='宋体')
|
||||
BOLD_FNT = Font(bold=True, size=10, name='宋体')
|
||||
THIN = Side('thin', color='B4B4B4')
|
||||
BORD = Border(THIN, THIN, THIN, THIN)
|
||||
CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
LL = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
|
||||
def hdr_row(ws, r, headers):
|
||||
for c, h in enumerate(headers, 1):
|
||||
cell = ws.cell(row=r, column=c, value=h)
|
||||
cell.font = HEAD_FONT; cell.fill = HEAD_FILL; cell.alignment = CC; cell.border = BORD
|
||||
|
||||
def data_row(ws, r, values, bold=False):
|
||||
for c, v in enumerate(values, 1):
|
||||
cell = ws.cell(row=r, column=c, value=v)
|
||||
cell.font = BOLD_FNT if bold else NORM_FNT
|
||||
cell.alignment = CC; cell.border = BORD
|
||||
if isinstance(v, float):
|
||||
cell.number_format = '#,##0.00'
|
||||
|
||||
def sub_total(ws, r, values):
|
||||
for c, v in enumerate(values, 1):
|
||||
cell = ws.cell(row=r, column=c, value=v)
|
||||
cell.font = BOLD_FNT; cell.fill = SUB_FILL
|
||||
cell.alignment = CC; cell.border = BORD
|
||||
if isinstance(v, float):
|
||||
cell.number_format = '#,##0.00'
|
||||
|
||||
# ── Step 1: Parse existing data ──
|
||||
wb = openpyxl.load_workbook(fp)
|
||||
ws_old = wb['6月汇总']
|
||||
|
||||
# Parse all考核应发 subsections
|
||||
subsections = [] # [(title, [(name, vehicles, amount), ...], total_row)]
|
||||
current_title = None
|
||||
current_rows = []
|
||||
in_detail = False
|
||||
|
||||
# Map person->dept from按销售人员 section
|
||||
person_dept = {}
|
||||
in_sales = False
|
||||
for r in range(1, ws_old.max_row + 1):
|
||||
v1 = str(ws_old.cell(row=r, column=1).value or '')
|
||||
v2 = str(ws_old.cell(row=r, column=2).value or '')
|
||||
if '6月最终发放（按销售人员）' in v1:
|
||||
in_sales = True
|
||||
continue
|
||||
if in_sales:
|
||||
name = str(ws_old.cell(row=r, column=1).value or '')
|
||||
dept = str(ws_old.cell(row=r, column=2).value or '')
|
||||
if name == '合计':
|
||||
break
|
||||
if name and name != '销售人员' and dept:
|
||||
person_dept[name] = dept
|
||||
|
||||
print(f"人员部门映射: {person_dept}")
|
||||
|
||||
# Parse考核应发 subsections
|
||||
for r in range(1, ws_old.max_row + 1):
|
||||
v1 = str(ws_old.cell(row=r, column=1).value or '')
|
||||
|
||||
if v1.startswith('考核应发-'):
|
||||
if current_title and current_rows:
|
||||
subsections.append((current_title, current_rows))
|
||||
current_title = v1
|
||||
current_rows = []
|
||||
in_detail = True
|
||||
continue
|
||||
|
||||
if current_title and in_detail:
|
||||
name = str(ws_old.cell(row=r, column=1).value or '')
|
||||
vehicles = ws_old.cell(row=r, column=2).value
|
||||
amount = ws_old.cell(row=r, column=3).value
|
||||
|
||||
if name == '总计':
|
||||
subsections.append((current_title, current_rows))
|
||||
current_title = None
|
||||
current_rows = []
|
||||
in_detail = False
|
||||
elif name and name != '销售人员':
|
||||
current_rows.append((name, vehicles, amount))
|
||||
|
||||
print(f"\n解析到 {len(subsections)} 个考核应发 subsection:")
|
||||
|
||||
# ── Step 2: Filter out resigned, recalculate ──
|
||||
filtered_subsections = []
|
||||
grand_total = 0.0
|
||||
|
||||
for title, rows in subsections:
|
||||
filtered = [(n, v, a) for (n, v, a) in rows if n not in RESIGNED]
|
||||
# Recalculate vehicles and amounts
|
||||
new_vehicles = sum(int(v or 0) for _, v, _ in filtered)
|
||||
new_amount = sum(float(a or 0) for _, _, a in filtered)
|
||||
grand_total += new_amount
|
||||
filtered_subsections.append((title, filtered, new_vehicles, new_amount))
|
||||
removed = [(n, a) for (n, _, a) in rows if n in RESIGNED]
|
||||
if removed:
|
||||
print(f" {title}: 剔除 {removed}, 新合计={new_amount:.2f}")
|
||||
|
||||
print(f"\n考核应发合计: {grand_total:.2f}")
|
||||
|
||||
# ── Step 3: Build最终发放 (aggregate by person + transfers) ──
|
||||
person_data = defaultdict(lambda: {'vehicles': 0, 'amount': 0.0})
|
||||
for title, rows, _, _ in filtered_subsections:
|
||||
for name, vehicles, amount in rows:
|
||||
person_data[name]['vehicles'] += int(vehicles or 0)
|
||||
person_data[name]['amount'] += float(amount or 0)
|
||||
|
||||
# Add transfers to receivers
|
||||
for resigned, (receiver, amt) in TRANSFER_MAP.items():
|
||||
person_data[receiver]['amount'] += amt
|
||||
# Count vehicles? The reference doesn't seem to add vehicle count for transfers
|
||||
|
||||
# Remove resigned (should already be filtered, but just in case)
|
||||
for name in list(person_data.keys()):
|
||||
if name in RESIGNED:
|
||||
del person_data[name]
|
||||
|
||||
final_total = sum(d['amount'] for d in person_data.values())
|
||||
print(f"最终发放合计: {final_total:.2f}")
|
||||
|
||||
# Sort by department then name (matching reference order)
|
||||
dept_order = ['业务二部', '业务三部', '业务五部', '业务六部']
|
||||
def sort_key(item):
|
||||
name = item[0]
|
||||
dept = person_dept.get(name, '')
|
||||
try:
|
||||
di = dept_order.index(dept)
|
||||
except ValueError:
|
||||
di = 99
|
||||
return (di, name)
|
||||
|
||||
sorted_persons = sorted(person_data.items(), key=sort_key)
|
||||
|
||||
# ── Step 4: Department totals ──
|
||||
dept_totals = defaultdict(float)
|
||||
for name, data in sorted_persons:
|
||||
dept = person_dept.get(name, '')
|
||||
dept_totals[dept] += data['amount']
|
||||
|
||||
# ── Step 5: Rebuild the sheet ──
|
||||
# Delete old sheet and create new
|
||||
ws = wb['6月汇总']
|
||||
ws.delete_rows(1, ws.max_row)
|
||||
|
||||
rn = 1
|
||||
|
||||
# === 一、考核应发明细 ===
|
||||
ws.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=3)
|
||||
ws.cell(row=rn, column=1, value='一、考核应发明细').font = TITLE_FNT
|
||||
rn += 2
|
||||
|
||||
for title, rows, total_veh, total_amt in filtered_subsections:
|
||||
ws.cell(row=rn, column=1, value=title).font = SECTION_FNT
|
||||
rn += 1
|
||||
hdr_row(ws, rn, ['销售人员', '车辆数', '金额'])
|
||||
rn += 1
|
||||
|
||||
# Sort rows by dept then name
|
||||
sorted_rows = sorted(rows, key=lambda x: sort_key((x[0],)) if x[0] in person_dept else (99, x[0]))
|
||||
|
||||
for name, vehicles, amount in sorted_rows:
|
||||
data_row(ws, rn, [name, vehicles, round(float(amount or 0), 2)])
|
||||
rn += 1
|
||||
|
||||
sub_total(ws, rn, ['总计', total_veh, round(total_amt, 2)])
|
||||
rn += 2
|
||||
|
||||
# 考核应发合计
|
||||
ws.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=2)
|
||||
ws.cell(row=rn, column=1, value='考核应发合计').font = BOLD_FNT
|
||||
ws.cell(row=rn, column=1).alignment = CC
|
||||
ws.cell(row=rn, column=3, value=round(grand_total, 2)).font = BOLD_FNT
|
||||
ws.cell(row=rn, column=3).alignment = CC
|
||||
ws.cell(row=rn, column=3).number_format = '#,##0.00'
|
||||
for c in range(1, 4):
|
||||
ws.cell(row=rn, column=c).border = BORD
|
||||
ws.cell(row=rn, column=c).fill = SUB_FILL
|
||||
rn += 2
|
||||
|
||||
# === 二、离职人员转嫁收入 ===
|
||||
ws.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=3)
|
||||
ws.cell(row=rn, column=1, value='二、离职人员转嫁收入').font = TITLE_FNT
|
||||
rn += 1
|
||||
hdr_row(ws, rn, ['接收人', '来源', '转嫁金额'])
|
||||
rn += 1
|
||||
|
||||
for receiver, source, amt in TRANSFERS:
|
||||
data_row(ws, rn, [receiver, source, amt])
|
||||
rn += 1
|
||||
|
||||
sub_total(ws, rn, ['合计', '', TRANSFER_TOTAL])
|
||||
rn += 2
|
||||
|
||||
# === 三、最终发放 ===
|
||||
ws.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=3)
|
||||
ws.cell(row=rn, column=1, value='三、最终发放').font = TITLE_FNT
|
||||
rn += 2
|
||||
|
||||
# 最终发放明细
|
||||
ws.cell(row=rn, column=1, value='最终发放明细').font = SECTION_FNT
|
||||
rn += 1
|
||||
hdr_row(ws, rn, ['销售人员', '车辆数', '金额'])
|
||||
rn += 1
|
||||
|
||||
for name, data in sorted_persons:
|
||||
data_row(ws, rn, [name, data['vehicles'], round(data['amount'], 2)])
|
||||
rn += 1
|
||||
|
||||
sub_total(ws, rn, ['总计', sum(d['vehicles'] for _, d in sorted_persons), round(final_total, 2)])
|
||||
rn += 2
|
||||
|
||||
# 6月最终发放（按销售人员）
|
||||
ws.cell(row=rn, column=1, value='6月最终发放（按销售人员）').font = SECTION_FNT
|
||||
rn += 1
|
||||
hdr_row(ws, rn, ['销售人员', '部门名称', '最终发放'])
|
||||
rn += 1
|
||||
|
||||
for name, data in sorted_persons:
|
||||
dept = person_dept.get(name, '')
|
||||
data_row(ws, rn, [name, dept, round(data['amount'], 2)])
|
||||
rn += 1
|
||||
|
||||
sub_total(ws, rn, ['合计', '', round(final_total, 2)])
|
||||
rn += 2
|
||||
|
||||
# 6月最终发放（按部门）
|
||||
ws.cell(row=rn, column=1, value='6月最终发放（按部门）').font = SECTION_FNT
|
||||
rn += 1
|
||||
hdr_row(ws, rn, ['部门名称', '最终发放', ''])
|
||||
rn += 1
|
||||
|
||||
for dept in dept_order:
|
||||
if dept in dept_totals:
|
||||
data_row(ws, rn, [dept, round(dept_totals[dept], 2), ''])
|
||||
rn += 1
|
||||
|
||||
sub_total(ws, rn, ['合计', round(sum(dept_totals.values()), 2), ''])
|
||||
rn += 2
|
||||
|
||||
# === 总览 ===
|
||||
ws.cell(row=rn, column=1, value='总览').font = SECTION_FNT
|
||||
rn += 1
|
||||
hdr_row(ws, rn, ['', '', ''])
|
||||
# Override header style for总览
|
||||
data_row(ws, rn, ['考核应发', round(final_total, 2), ''])
|
||||
rn += 1
|
||||
data_row(ws, rn, ['亏损拦截', 0, ''])
|
||||
rn += 1
|
||||
data_row(ws, rn, ['最终发放', round(final_total, 2), ''])
|
||||
rn += 2
|
||||
|
||||
# === 备注 ===
|
||||
note_text = '备注：赵连飞（2026-04-30离职）、伍仲文（2026-05-09离职）、岑彦（2026-05-09离职）\n三人已从上述汇总中剔除，其6月当月达标奖金已转嫁至新销售；其余结转、补发、累计补发等一律不发了。'
|
||||
ws.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=3)
|
||||
ws.cell(row=rn, column=1, value=note_text).font = NOTE_FNT
|
||||
ws.cell(row=rn, column=1).alignment = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
ws.row_dimensions[rn].height = 36
|
||||
|
||||
# ── Column widths ──
|
||||
ws.column_dimensions['A'].width = 16
|
||||
ws.column_dimensions['B'].width = 18
|
||||
ws.column_dimensions['C'].width = 16
|
||||
|
||||
# ── Rename resigned sheets ──
|
||||
for old_name, new_name in [('二部-赵连飞','【已离职】二部-赵连飞'),('六部-伍仲文','【已离职】六部-伍仲文'),('六部-岑彦','【已离职】六部-岑彦')]:
|
||||
if old_name in wb.sheetnames:
|
||||
wb[old_name].title = new_name
|
||||
wb.move_sheet(new_name, offset=len(wb.sheetnames)-1-wb.sheetnames.index(new_name))
|
||||
print(f" Sheet: {old_name} → {new_name}")
|
||||
|
||||
# ── Copy to output ──
|
||||
import shutil
|
||||
out = '/Users/kkfluous/Downloads/20260713/里程任务考核_6月核算.xlsx'
|
||||
wb.save(out)
|
||||
print(f"\n✅ {out} 已重建")
|
||||
|
||||
# ── Verify ──
|
||||
wb2 = openpyxl.load_workbook(out, data_only=True)
|
||||
ws2 = wb2['6月汇总']
|
||||
print(f"\n验证 ({ws2.max_row} rows):")
|
||||
for row in ws2.iter_rows(min_row=1, max_row=ws2.max_row):
|
||||
vals = [str(c.value)[:50] if c.value is not None else '' for c in row]
|
||||
line = ' | '.join(vals)
|
||||
if line.replace(' | ', '').strip():
|
||||
print(f" {line}")
|
||||
wb2.close()
|
||||
@@ -0,0 +1,203 @@
|
||||
from ast import parse, walk, Call, Constant, keyword
|
||||
from collections import defaultdict
|
||||
from copy import copy
|
||||
from datetime import datetime, date
|
||||
from pathlib import Path
|
||||
from zipfile import ZipFile
|
||||
from xml.etree import ElementTree as ET
|
||||
import re
|
||||
import shutil
|
||||
|
||||
import openpyxl
|
||||
import pymysql
|
||||
from openpyxl.styles import Alignment, Font, PatternFill
|
||||
|
||||
BASE = Path('/Users/kkfluous/Downloads')
|
||||
OUTPUT = BASE / '7月核算结果/7月考核车辆多源里程汇总_含车型.xlsx'
|
||||
MAIN_OUTPUT = BASE / '7月核算结果/7月考核车辆多源里程汇总.xlsx'
|
||||
BACKUP = BASE / '7月核算结果/7月考核车辆多源里程汇总_新日规则前.xlsx'
|
||||
ASSESSMENT = BASE / '7月核算结果/租赁任务考核_2026年7月.xlsx'
|
||||
TBOX_FILE = BASE / '车辆里程查询_20260701-20260731_1024辆.xlsx'
|
||||
PLATFORM_DIR = BASE / '广州新能源平台_纯氢纯电里程_2026年7月_按日'
|
||||
DETAILS = [BASE / '里程统计[天][2026-07-01至2026-07-31].xlsx', BASE / '里程统计[天][2026-07-01至2026-07-31] (1).xlsx']
|
||||
NS = '{http://schemas.openxmlformats.org/spreadsheetml/2006/main}'
|
||||
|
||||
def norm(v): return re.sub(r'\s+', '', str(v or '')).upper()
|
||||
|
||||
def db_config():
|
||||
tree = parse((BASE / 'replace_gps_jun.py').read_text())
|
||||
for node in walk(tree):
|
||||
if isinstance(node, Call) and getattr(node.func, 'attr', None) == 'connect':
|
||||
values = {x.arg: x.value.value for x in node.keywords if isinstance(x.value, Constant)}
|
||||
if {'host', 'user', 'password', 'database'} <= values.keys(): return values
|
||||
raise RuntimeError('未找到既有GPS数据库配置')
|
||||
|
||||
def read_detail_gps():
|
||||
out = defaultdict(dict)
|
||||
for path in DETAILS:
|
||||
with ZipFile(path) as zf:
|
||||
root = ET.fromstring(zf.read('xl/worksheets/sheet1.xml'))
|
||||
for row in root.findall(f'.//{NS}row'):
|
||||
if int(row.get('r')) < 4: continue
|
||||
values = {}
|
||||
for cell in row.findall(f'{NS}c'):
|
||||
col = re.match(r'[A-Z]+', cell.get('r')).group()
|
||||
if cell.get('t') == 'inlineStr':
|
||||
values[col] = ''.join(t.text or '' for t in cell.findall(f'.//{NS}t'))
|
||||
else:
|
||||
node = cell.find(f'{NS}v'); values[col] = node.text if node is not None else None
|
||||
p = norm(values.get('H')); ds = str(values.get('O') or '').strip()
|
||||
if p and p != '合计' and re.fullmatch(r'2026-07-\d{2}', ds):
|
||||
out[p][datetime.strptime(ds, '%Y-%m-%d').date()] = float(values.get('P') or 0)
|
||||
return out
|
||||
|
||||
# 测试候选车辆以7月最终考核源表中黄色干预行为准。
|
||||
awb = openpyxl.load_workbook(ASSESSMENT, data_only=True)
|
||||
aws = awb['业务考核视图']
|
||||
candidates = set()
|
||||
for row in range(2, aws.max_row + 1):
|
||||
fills = {aws.cell(row, c).fill.fgColor.rgb for c in range(1, aws.max_column + 1) if aws.cell(row, c).fill.fill_type == 'solid'}
|
||||
if any(str(x).upper().endswith('FFFF00') for x in fills if x):
|
||||
candidates.add(norm(aws.cell(row, 1).value))
|
||||
awb.close()
|
||||
|
||||
# 每日TBOX。文件中的空白日按0处理，不会触发测试条件。
|
||||
twb = openpyxl.load_workbook(TBOX_FILE, read_only=True, data_only=True)
|
||||
tws = twb['里程查询']
|
||||
header = next(tws.iter_rows(min_row=6, max_row=6, values_only=True))
|
||||
day_cols = {i: value.date() for i, value in enumerate(header) if isinstance(value, datetime)}
|
||||
tbox = defaultdict(dict)
|
||||
for row in tws.iter_rows(min_row=7, values_only=True):
|
||||
p = norm(row[0])
|
||||
if p:
|
||||
for i, day in day_cols.items(): tbox[p][day] = float(row[i] or 0)
|
||||
twb.close()
|
||||
|
||||
# 每日GPS：两份日明细优先，数据库补充缺失日期。
|
||||
gps = read_detail_gps()
|
||||
cfg = db_config(); cfg.update(charset='utf8mb4', connect_timeout=8, read_timeout=30, write_timeout=30)
|
||||
conn = pymysql.connect(**cfg)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
placeholders = ','.join(['%s'] * len(candidates))
|
||||
cur.execute(
|
||||
f'SELECT plate_number,dates,total_mileage FROM ln_vehicle_g7_mileage WHERE dates >= %s AND dates <= %s AND plate_number IN ({placeholders})',
|
||||
[date(2026, 7, 1), date(2026, 7, 31), *sorted(candidates)],
|
||||
)
|
||||
db_rows = cur.fetchall()
|
||||
finally: conn.close()
|
||||
for p, day, raw in db_rows:
|
||||
if isinstance(day, datetime): day = day.date()
|
||||
gps[norm(p)].setdefault(day, float(raw or 0) / 100000.0)
|
||||
|
||||
# 广州平台每日纯氢里程。
|
||||
hydrogen = defaultdict(dict)
|
||||
for path in sorted(PLATFORM_DIR.glob('2026-07-??_纯氢纯电里程.xlsx')):
|
||||
wb = openpyxl.load_workbook(path, read_only=True, data_only=True)
|
||||
ws = wb.active
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
p = norm(row[5]); match = re.search(r'2026-07-\d{2}', str(row[6] or ''))
|
||||
if p and match:
|
||||
day = datetime.strptime(match.group(), '%Y-%m-%d').date()
|
||||
hydrogen[p][day] = hydrogen[p].get(day, 0) + float(row[8] or 0)
|
||||
wb.close()
|
||||
|
||||
if not BACKUP.exists(): shutil.copy2(OUTPUT, BACKUP)
|
||||
wb = openpyxl.load_workbook(OUTPUT)
|
||||
ws = wb.active
|
||||
header_row = next(r for r in range(1, 8) if ws.cell(r, 2).value == '车牌')
|
||||
headers = [ws.cell(header_row, c).value for c in range(1, ws.max_column + 1)]
|
||||
if '考核里程(km)' not in headers:
|
||||
for merged in list(ws.merged_cells.ranges):
|
||||
if merged.min_row == 1 and merged.max_row == 1:
|
||||
ws.unmerge_cells(str(merged))
|
||||
total_col = headers.index('广州平台总里程(km)') + 1
|
||||
ws.insert_cols(total_col + 1, 1)
|
||||
assessment_col = total_col + 1
|
||||
else:
|
||||
assessment_col = headers.index('考核里程(km)') + 1
|
||||
ws.cell(header_row, assessment_col).value = '考核里程(km)'
|
||||
ws.cell(header_row, assessment_col)._style = copy(ws.cell(header_row, assessment_col - 1)._style)
|
||||
ws.column_dimensions[openpyxl.utils.get_column_letter(assessment_col)].width = 18
|
||||
|
||||
headers = [ws.cell(header_row, c).value for c in range(1, ws.max_column + 1)]
|
||||
col = {v: i + 1 for i, v in enumerate(headers)}
|
||||
yes_records = 0; test_days_total = 0; excluded_hydrogen_total = 0.0; no_hydrogen = 0
|
||||
fallback_tbox = 0; fallback_gps = 0; fallback_missing = 0
|
||||
white = PatternFill('solid', fgColor='FFFFFF')
|
||||
platform_fill = PatternFill('solid', fgColor='DDEBF7')
|
||||
assessment_fill = PatternFill('solid', fgColor='FCE4D6')
|
||||
tbox_fill = PatternFill('solid', fgColor='E2F0D9')
|
||||
gps_fill = PatternFill('solid', fgColor='E4DFEC')
|
||||
yellow = PatternFill('solid', fgColor='FFF2CC')
|
||||
grey = PatternFill('solid', fgColor='F2F2F2')
|
||||
|
||||
for row in range(header_row + 1, ws.max_row + 1):
|
||||
p = norm(ws.cell(row, col['车牌']).value)
|
||||
start = ws.cell(row, col['考核开始日期']).value.date()
|
||||
end = ws.cell(row, col['考核结束日期']).value.date()
|
||||
days = [start.fromordinal(start.toordinal() + n) for n in range((end - start).days + 1)]
|
||||
test_days = []
|
||||
if p in candidates:
|
||||
for day in days:
|
||||
if day in gps.get(p, {}) and tbox[p].get(day, 0) - gps[p][day] > 50:
|
||||
test_days.append(day)
|
||||
has_test = bool(test_days)
|
||||
ws.cell(row, col['是否存在测试']).value = '是' if has_test else '否'
|
||||
if has_test: yes_records += 1
|
||||
test_days_total += len(test_days)
|
||||
daily_h = hydrogen.get(p, {})
|
||||
present = [day for day in days if day in daily_h]
|
||||
if not present:
|
||||
no_hydrogen += 1
|
||||
fallback_name = 'GPS里程(km)' if p in candidates else 'TBOX仪表里程(km)'
|
||||
fallback_value = ws.cell(row, col[fallback_name]).value
|
||||
if isinstance(fallback_value, (int, float)):
|
||||
ws.cell(row, assessment_col).value = round(float(fallback_value), 2)
|
||||
ws.cell(row, assessment_col).number_format = '#,##0.0'
|
||||
if p in candidates:
|
||||
fallback_gps += 1
|
||||
else:
|
||||
fallback_tbox += 1
|
||||
else:
|
||||
ws.cell(row, assessment_col).value = '无来源'
|
||||
fallback_missing += 1
|
||||
else:
|
||||
excluded_hydrogen_total += sum(daily_h.get(day, 0) for day in test_days)
|
||||
ws.cell(row, assessment_col).value = round(sum(daily_h.get(day, 0) for day in days if day not in test_days), 2)
|
||||
ws.cell(row, assessment_col).number_format = '#,##0.0'
|
||||
|
||||
# 重建行配色：新规则判定存在测试时整行黄色，否则恢复各数据组颜色。
|
||||
if has_test:
|
||||
for c in range(1, ws.max_column + 1): ws.cell(row, c).fill = copy(yellow)
|
||||
else:
|
||||
for c in range(1, ws.max_column + 1): ws.cell(row, c).fill = copy(white)
|
||||
for name in ['纯氢里程(km)', '纯电里程(km)', '广州平台总里程(km)']:
|
||||
ws.cell(row, col[name]).fill = copy(platform_fill)
|
||||
ws.cell(row, assessment_col).fill = copy(assessment_fill)
|
||||
ws.cell(row, col['TBOX仪表里程(km)']).fill = copy(tbox_fill)
|
||||
ws.cell(row, col['GPS里程(km)']).fill = copy(gps_fill)
|
||||
for name in ['纯氢里程(km)', '纯电里程(km)', '广州平台总里程(km)', '考核里程(km)', 'TBOX仪表里程(km)', 'GPS里程(km)']:
|
||||
cell = ws.cell(row, col[name])
|
||||
if cell.value == '无来源':
|
||||
cell.fill = copy(grey); cell.font = Font(color='7F7F7F', italic=True)
|
||||
|
||||
for merged in list(ws.merged_cells.ranges):
|
||||
if merged.min_row == 1 and merged.max_row == 1:
|
||||
ws.unmerge_cells(str(merged))
|
||||
ws.merge_cells(start_row=1, start_column=1, end_row=1, end_column=ws.max_column)
|
||||
ws['A1'] = (
|
||||
'1. 考核里程按纯氢里程计算：普通车辆取考核区间纯氢里程；测试候选车辆逐日比较，'
|
||||
'当日TBOX里程－当日GPS里程＞50km时判为测试日，并剔除该日纯氢里程；'
|
||||
'无纯氢里程的4.5T普货车辆，测试候选车辆取GPS里程，其他车辆取TBOX仪表里程\n'
|
||||
'2. 每日TBOX来源：车辆里程查询_20260701-20260731_1024辆.xlsx；空白日按0处理。每日GPS优先两份7月日明细，数据库补充\n'
|
||||
'3. 4.5T普货的TBOX或GPS备选来源也缺失时，考核里程标记“无来源”\n'
|
||||
'4. 纯电里程及广州平台总里程仅作对照，不参与考核里程'
|
||||
)
|
||||
ws['A1'].alignment = Alignment(horizontal='left', vertical='center', wrap_text=True)
|
||||
ws.auto_filter.ref = f'A{header_row}:{openpyxl.utils.get_column_letter(ws.max_column)}{ws.max_row}'
|
||||
ws.row_dimensions[1].height = 58
|
||||
wb.save(OUTPUT)
|
||||
shutil.copy2(OUTPUT, MAIN_OUTPUT)
|
||||
|
||||
print({'candidate_plates': len(candidates), 'test_records_new_rule': yes_records, 'test_days': test_days_total, 'excluded_hydrogen_km': round(excluded_hydrogen_total, 2), 'pure_hydrogen_missing': no_hydrogen, 'fallback_tbox_records': fallback_tbox, 'fallback_gps_records': fallback_gps, 'assessment_mileage_still_missing': fallback_missing, 'columns': ws.max_column})
|
||||
@@ -0,0 +1,270 @@
|
||||
#!/usr/bin/env python3
|
||||
"""用新GPS数据重新生成6月干预情况说明 — 测试里程/实际里程/翻转分析全部更新"""
|
||||
import openpyxl, os
|
||||
from openpyxl.styles import Font, Alignment, Border, Side, PatternFill
|
||||
from openpyxl.utils import get_column_letter
|
||||
from collections import defaultdict
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
# ── Styles ──
|
||||
hdr_blue_font = Font(name='宋体', size=11, bold=True, color='FFFFFF')
|
||||
hdr_blue_fill = PatternFill(start_color='4472C4', end_color='4472C4', fill_type='solid')
|
||||
hdr_green_font = Font(name='宋体', size=11, bold=True, color='FFFFFF')
|
||||
hdr_green_fill = PatternFill(start_color='548235', end_color='548235', fill_type='solid')
|
||||
hdr_align = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
data_font = Font(name='宋体', size=10)
|
||||
data_align = Alignment(horizontal='center', vertical='center')
|
||||
title_font = Font(name='宋体', size=14, bold=True)
|
||||
subtitle_font = Font(name='宋体', size=10, bold=True)
|
||||
yellow_fill = PatternFill(start_color='FFFF00', end_color='FFFF00', fill_type='solid')
|
||||
light_yellow_fill = PatternFill(start_color='FFF2CC', end_color='FFF2CC', fill_type='solid')
|
||||
thin_border = Border(left=Side('thin'), right=Side('thin'), top=Side('thin'), bottom=Side('thin'))
|
||||
|
||||
def set_cell(ws, row, col, value, font=None, fill=None, align=None, border=None, num_fmt=None):
|
||||
cell = ws.cell(row=row, column=col, value=value)
|
||||
if font: cell.font = font
|
||||
if fill: cell.fill = fill
|
||||
if align: cell.alignment = align
|
||||
if border: cell.border = border
|
||||
if num_fmt: cell.number_format = num_fmt
|
||||
return cell
|
||||
|
||||
# ── Step 1: Extract test plates from OLD intervention report ──
|
||||
print("提取测试车辆清单...")
|
||||
old_interv = '租赁任务考核_2026年6月_干预情况说明.xlsx'
|
||||
wb_old = openpyxl.load_workbook(old_interv, data_only=True)
|
||||
ws_old = wb_old['涉及测试的业务考核车辆']
|
||||
h_old = [c.value for c in next(ws_old.iter_rows(min_row=1, max_row=1))]
|
||||
plate_col_old = h_old.index('车牌号')
|
||||
test_plates = set()
|
||||
for row in ws_old.iter_rows(min_row=2, values_only=True):
|
||||
p = row[plate_col_old]
|
||||
if p: test_plates.add(str(p).strip())
|
||||
wb_old.close()
|
||||
print(f" 测试车辆: {len(test_plates)} 辆")
|
||||
|
||||
# ── Step 2: Read NEW source data ──
|
||||
print("读取新数据源...")
|
||||
src_fp = '20260713_1500/租赁任务考核_2026年6月.xlsx'
|
||||
src = openpyxl.load_workbook(src_fp, data_only=True)
|
||||
ws_src = src['业务考核视图']
|
||||
h_src = [c.value for c in next(ws_src.iter_rows(min_row=1, max_row=1))]
|
||||
all_recs = []
|
||||
for row in ws_src.iter_rows(min_row=2, values_only=True):
|
||||
r = dict(zip(h_src, row))
|
||||
if r['车牌号']:
|
||||
all_recs.append(r)
|
||||
src.close()
|
||||
|
||||
# ── Step 3: Read BACKUP for original comparison ──
|
||||
print("读取备份(原始仪表盘)...")
|
||||
bak = openpyxl.load_workbook('租赁任务考核_2026年6月_备份.xlsx', data_only=True)
|
||||
ws_bak = bak['业务考核视图']
|
||||
h_bak = [c.value for c in next(ws_bak.iter_rows(min_row=1, max_row=1))]
|
||||
bak_recs = {}
|
||||
for row in ws_bak.iter_rows(min_row=2, values_only=True):
|
||||
r = dict(zip(h_bak, row))
|
||||
if r['车牌号']:
|
||||
bak_recs[str(r['车牌号']).strip()] = r
|
||||
bak.close()
|
||||
|
||||
# ── Step 4: Analyze ──
|
||||
print("分析干预数据...")
|
||||
intervention_recs = [r for r in all_recs if r['车牌号'] in test_plates]
|
||||
intervention_plates = set(r['车牌号'] for r in intervention_recs)
|
||||
|
||||
# Stats
|
||||
total_vehicles = len(set(r['车牌号'] for r in all_recs))
|
||||
total_records = len(all_recs)
|
||||
interv_vehicles = len(intervention_plates)
|
||||
interv_records = len(intervention_recs)
|
||||
|
||||
total_actual = sum(float(r['实际行驶里程(km)'] or 0) for r in all_recs)
|
||||
total_tbox = sum(float(r['原TBOX里程(km)'] or 0) for r in all_recs)
|
||||
total_test = sum(float(r['测试里程(km)'] or 0) for r in all_recs)
|
||||
interv_actual = sum(float(r['实际行驶里程(km)'] or 0) for r in intervention_recs)
|
||||
interv_tbox = sum(float(r['原TBOX里程(km)'] or 0) for r in intervention_recs)
|
||||
interv_test = sum(float(r['测试里程(km)'] or 0) for r in intervention_recs)
|
||||
|
||||
# Flip analysis: old达→new未达标
|
||||
flip_recs = []
|
||||
for r in intervention_recs:
|
||||
plate = r['车牌号']
|
||||
old_rec = bak_recs.get(plate)
|
||||
if old_rec:
|
||||
old_q = str(old_rec.get('是否达标', '')).strip() == '达标'
|
||||
new_q = str(r.get('是否达标', '')).strip() == '达标'
|
||||
if old_q and not new_q:
|
||||
flip_recs.append(r)
|
||||
|
||||
# Group flip by target
|
||||
flip_by_target = defaultdict(lambda: defaultdict(lambda: defaultdict(int)))
|
||||
for r in flip_recs:
|
||||
target = r.get('考核目标', '未知')
|
||||
dept = r.get('部门名称', '')
|
||||
sales = r.get('销售经理', '')
|
||||
flip_by_target[target][dept][sales] += 1
|
||||
|
||||
print(f" 全量: {total_vehicles}辆/{total_records}条")
|
||||
print(f" 干预: {interv_vehicles}辆/{interv_records}条")
|
||||
print(f" 达→未达标: {len(flip_recs)}条")
|
||||
print(f" TBOX总计: {total_tbox:.0f}, GPS总计: {total_actual:.0f}, 测试总计: {total_test:.0f}")
|
||||
|
||||
# ── Step 5: Build workbook ──
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
# ===== Sheet 1: 测试与考核情况说明 =====
|
||||
ws1 = wb.active; ws1.title = '测试与考核情况说明'
|
||||
for col, w in enumerate([4, 30, 18, 18, 18, 18, 18], 1):
|
||||
ws1.column_dimensions[get_column_letter(col)].width = w
|
||||
|
||||
rn = 1
|
||||
set_cell(ws1, rn, 1, '2026年6月 业务考核 — 测试与考核情况说明', title_font)
|
||||
ws1.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=5); rn += 1
|
||||
|
||||
set_cell(ws1, rn, 1, '6月业务考核车辆中，部分车辆当月存在测试行为（仪表盘里程 > GPS 实际行驶里程），其差额作为测试里程剥离，不参与考核。GPS数据来源：G7/东方北斗/信达GPS/广安北斗 四家供应商6月日里程汇总文件。',
|
||||
Font(name='宋体', size=10), light_yellow_fill)
|
||||
ws1.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=5); rn += 2
|
||||
|
||||
# Section 1: Stats
|
||||
set_cell(ws1, rn, 1, '一、6月业务考核与干预情况', subtitle_font); rn += 1
|
||||
for ci, h in enumerate(['项目', '6月业务考核车辆', '涉及测试的车辆', '占比'], 1):
|
||||
set_cell(ws1, rn, ci, h, hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
rn += 1
|
||||
|
||||
stats = [
|
||||
('车辆数(辆)', total_vehicles, interv_vehicles),
|
||||
('产生考核记录数(条)', total_records, interv_records),
|
||||
('仪表盘里程(km)', round(total_tbox), round(interv_tbox)),
|
||||
('业务考核里程 GPS(km)', round(total_actual), round(interv_actual)),
|
||||
('测试里程(km)', round(total_test), round(interv_test)),
|
||||
]
|
||||
for label, all_v, interv_v in stats:
|
||||
ratio = interv_v / all_v if all_v else 0
|
||||
set_cell(ws1, rn, 1, label, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 2, all_v, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 3, interv_v, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 4, ratio, data_font, None, data_align, thin_border, '0.00%')
|
||||
rn += 1
|
||||
|
||||
rn += 2
|
||||
|
||||
# Section 2: Flip details
|
||||
set_cell(ws1, rn, 1, '二、干预车辆考核达标情况说明', subtitle_font); rn += 1
|
||||
flip_total = len(flip_recs)
|
||||
summary_text = f'共 {interv_records} 条考核记录涉及里程干预；替换为GPS里程后，共 {flip_total} 条考核车辆记录由"达标"转判为"未达标"。按车型分类如下：'
|
||||
set_cell(ws1, rn, 1, summary_text, Font(name='宋体', size=10))
|
||||
ws1.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=5); rn += 2
|
||||
|
||||
target_order = ['羚牛136辆4.5T冷链车', '羚牛100辆18T', '交投40辆4.5T普货', '交投190辆4.5T冷链车', '恒运50辆4.5T普货']
|
||||
for target in target_order:
|
||||
if target not in flip_by_target: continue
|
||||
dept_sales = flip_by_target[target]
|
||||
total_cnt = sum(sum(sales.values()) for sales in dept_sales.values())
|
||||
set_cell(ws1, rn, 1, f'▎{target}（{total_cnt} 辆）', subtitle_font)
|
||||
ws1.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=5); rn += 1
|
||||
|
||||
set_cell(ws1, rn, 1, '部门', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 2, '销售经理', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 3, '数量', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 4, '部门', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 5, '销售经理', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 6, '数量', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
rn += 1
|
||||
|
||||
items = []
|
||||
for dept in sorted(dept_sales.keys()):
|
||||
for sales in sorted(dept_sales[dept].keys()):
|
||||
items.append((dept, sales, dept_sales[dept][sales]))
|
||||
|
||||
mid = (len(items) + 1) // 2
|
||||
max_rows = max(mid, len(items) - mid)
|
||||
for i in range(max_rows):
|
||||
if i < mid:
|
||||
d1, s1, c1 = items[i]
|
||||
set_cell(ws1, rn, 1, d1, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 2, s1, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 3, c1, data_font, None, data_align, thin_border)
|
||||
else:
|
||||
for c in [1,2,3]: set_cell(ws1, rn, c, '', data_font, None, data_align, thin_border)
|
||||
if i + mid < len(items):
|
||||
d2, s2, c2 = items[i + mid]
|
||||
set_cell(ws1, rn, 4, d2, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 5, s2, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 6, c2, data_font, None, data_align, thin_border)
|
||||
else:
|
||||
for c in [4,5,6]: set_cell(ws1, rn, c, '', data_font, None, data_align, thin_border)
|
||||
rn += 1
|
||||
rn += 1
|
||||
|
||||
rn += 1
|
||||
|
||||
# Section 3: Column source explanation
|
||||
set_cell(ws1, rn, 1, '三、里程三列数据来源说明', subtitle_font); rn += 1
|
||||
set_cell(ws1, rn, 1, '列', hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 2, '字段名', hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 3, '数据来源', hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 4, '说明', hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
rn += 1
|
||||
|
||||
col_descs = [
|
||||
('O', '原TBOX里程(km)', '车辆 T-Box / 仪表盘读数', '当月仪表总里程（业务系统原始数据），含运营+测试+调试里程。仅干预车辆填充，非干预车辆为空'),
|
||||
('P', '实际行驶里程(km)', 'GPS 轨迹还原', '基于 G7/东方北斗/信达GPS/广安北斗 四家供应商6月GPS日里程汇总文件，按考核期逐日汇总计算的运营里程，本月里程考核以此列为准'),
|
||||
('Q', '测试里程(km)', 'O − P（原TBOX − GPS，差额）', '仪表盘跑了但 GPS 未记录到的部分，判定为厂内测试/调试/路试等非运营里程，不计入考核。仅干预车辆填充，非干预车辆为0。若差额为负则取0'),
|
||||
]
|
||||
for col_letter, name, source, desc in col_descs:
|
||||
set_cell(ws1, rn, 1, col_letter, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 2, name, data_font, None, Alignment(horizontal='left', vertical='center'), thin_border)
|
||||
set_cell(ws1, rn, 3, source, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 4, desc, data_font, None, Alignment(horizontal='left', vertical='center', wrap_text=True), thin_border)
|
||||
ws1.row_dimensions[rn].height = 40
|
||||
rn += 1
|
||||
|
||||
# ===== Sheet 2: 业务考核视图 (full data,干预标黄) =====
|
||||
ws2 = wb.create_sheet('业务考核视图')
|
||||
target_order_full = ['车牌号','考核年份','考核月份','部门名称','销售经理','客户名称','合同编号','项目名称',
|
||||
'考核目标ID','考核目标','考核开始日期','考核结束日期','考核天数','应考核里程(km)',
|
||||
'原TBOX里程(km)','实际行驶里程(km)','测试里程(km)','完成率(%)','是否达标','考核状态',
|
||||
'交车日期','预计还车日期','实际还车日期']
|
||||
for ci, name in enumerate(target_order_full, 1):
|
||||
set_cell(ws2, 1, ci, name, hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
for ri, r in enumerate(all_recs, 2):
|
||||
is_interv = r['车牌号'] in intervention_plates
|
||||
for ci, name in enumerate(target_order_full, 1):
|
||||
set_cell(ws2, ri, ci, r.get(name), data_font, yellow_fill if is_interv else None, data_align, thin_border)
|
||||
for col, w in enumerate([12,8,8,12,10,26,18,22,10,22,13,12,10,14,16,14,14,12,10,8,12,12,12], 1):
|
||||
ws2.column_dimensions[get_column_letter(col)].width = w
|
||||
|
||||
# ===== Sheet 3: 6月业务考核车辆总览 =====
|
||||
ws3 = wb.create_sheet('6月业务考核车辆总览')
|
||||
for ci, name in enumerate(target_order_full, 1):
|
||||
set_cell(ws3, 1, ci, name, hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
for ri, r in enumerate(all_recs, 2):
|
||||
for ci, name in enumerate(target_order_full, 1):
|
||||
set_cell(ws3, ri, ci, r.get(name), data_font, None, data_align, thin_border)
|
||||
for col, w in enumerate([12,8,8,12,10,26,18,22,10,22,13,12,10,14,16,14,14,12,10,8,12,12,12], 1):
|
||||
ws3.column_dimensions[get_column_letter(col)].width = w
|
||||
|
||||
# ===== Sheet 4: 涉及测试的业务考核车辆 =====
|
||||
ws4 = wb.create_sheet('涉及测试的业务考核车辆')
|
||||
for ci, name in enumerate(target_order_full, 1):
|
||||
set_cell(ws4, 1, ci, name, hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
for ri, r in enumerate(intervention_recs, 2):
|
||||
for ci, name in enumerate(target_order_full, 1):
|
||||
set_cell(ws4, ri, ci, r.get(name), data_font, yellow_fill, data_align, thin_border)
|
||||
for col, w in enumerate([12,8,8,12,10,26,18,22,10,22,13,12,10,14,16,14,14,12,10,8,12,12,12], 1):
|
||||
ws4.column_dimensions[get_column_letter(col)].width = w
|
||||
|
||||
# ── Save ──
|
||||
out = '20260713_1500/租赁任务考核_2026年6月_干预情况说明.xlsx'
|
||||
wb.save(out)
|
||||
|
||||
print(f'\n✅ {out}')
|
||||
print(f'\n概况:')
|
||||
print(f' 全量: {total_vehicles}辆, {total_records}条')
|
||||
print(f' 干预: {interv_vehicles}辆, {interv_records}条')
|
||||
print(f' 达→未达标: {flip_total}条')
|
||||
print(f' 仪表盘里程: {total_tbox:.0f} (干预{interv_tbox:.0f})')
|
||||
print(f' GPS里程: {total_actual:.0f} (干预{interv_actual:.0f})')
|
||||
print(f' 测试里程: {total_test:.0f} (干预{interv_test:.0f})')
|
||||
@@ -0,0 +1,269 @@
|
||||
#!/usr/bin/env python3
|
||||
"""用新GPS数据重新生成7月干预情况说明 — 测试里程/实际里程/翻转分析全部更新"""
|
||||
import openpyxl, os
|
||||
from openpyxl.styles import Font, Alignment, Border, Side, PatternFill
|
||||
from openpyxl.utils import get_column_letter
|
||||
from collections import defaultdict
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
# ── Styles ──
|
||||
hdr_blue_font = Font(name='宋体', size=11, bold=True, color='FFFFFF')
|
||||
hdr_blue_fill = PatternFill(start_color='4472C4', end_color='4472C4', fill_type='solid')
|
||||
hdr_green_font = Font(name='宋体', size=11, bold=True, color='FFFFFF')
|
||||
hdr_green_fill = PatternFill(start_color='548235', end_color='548235', fill_type='solid')
|
||||
hdr_align = Alignment(horizontal='center', vertical='center', wrap_text=True)
|
||||
data_font = Font(name='宋体', size=10)
|
||||
data_align = Alignment(horizontal='center', vertical='center')
|
||||
title_font = Font(name='宋体', size=14, bold=True)
|
||||
subtitle_font = Font(name='宋体', size=10, bold=True)
|
||||
yellow_fill = PatternFill(start_color='FFFF00', end_color='FFFF00', fill_type='solid')
|
||||
light_yellow_fill = PatternFill(start_color='FFF2CC', end_color='FFF2CC', fill_type='solid')
|
||||
thin_border = Border(left=Side('thin'), right=Side('thin'), top=Side('thin'), bottom=Side('thin'))
|
||||
|
||||
def set_cell(ws, row, col, value, font=None, fill=None, align=None, border=None, num_fmt=None):
|
||||
cell = ws.cell(row=row, column=col, value=value)
|
||||
if font: cell.font = font
|
||||
if fill: cell.fill = fill
|
||||
if align: cell.alignment = align
|
||||
if border: cell.border = border
|
||||
if num_fmt: cell.number_format = num_fmt
|
||||
return cell
|
||||
|
||||
# ── Step 1: Extract test plates from July test list ──
|
||||
print("提取测试车辆清单...")
|
||||
test_file = '/Users/kkfluous/Library/Containers/com.tencent.xinWeChat/Data/Documents/xwechat_files/wxid_1704407055112_3af8/temp/RWTemp/2026-08/4340099467fbf08b4c6583c49adba4ee/7月测试车辆明细.xlsx'
|
||||
wb_old = openpyxl.load_workbook(test_file, data_only=True)
|
||||
ws_old = wb_old.active
|
||||
test_plates = set()
|
||||
for row in ws_old.iter_rows(min_row=2, values_only=True):
|
||||
p = row[0]
|
||||
if p: test_plates.add(str(p).strip())
|
||||
test_plates.discard('粤AG37316')
|
||||
wb_old.close()
|
||||
print(f" 测试车辆: {len(test_plates)} 辆")
|
||||
|
||||
# ── Step 2: Read NEW source data ──
|
||||
print("读取新数据源...")
|
||||
src_fp = '7月核算结果/租赁任务考核_2026年7月.xlsx'
|
||||
src = openpyxl.load_workbook(src_fp, data_only=True)
|
||||
ws_src = src['业务考核视图']
|
||||
h_src = [c.value for c in next(ws_src.iter_rows(min_row=1, max_row=1))]
|
||||
all_recs = []
|
||||
for row in ws_src.iter_rows(min_row=2, values_only=True):
|
||||
r = dict(zip(h_src, row))
|
||||
if r['车牌号']:
|
||||
all_recs.append(r)
|
||||
src.close()
|
||||
|
||||
# ── Step 3: Read BACKUP for original comparison ──
|
||||
print("读取备份(原始仪表盘)...")
|
||||
bak = openpyxl.load_workbook('7月核算结果/租赁任务考核_2026年7月_原版备份.xlsx', data_only=True)
|
||||
ws_bak = bak['业务考核视图']
|
||||
h_bak = [c.value for c in next(ws_bak.iter_rows(min_row=1, max_row=1))]
|
||||
bak_recs = {}
|
||||
for row in ws_bak.iter_rows(min_row=2, values_only=True):
|
||||
r = dict(zip(h_bak, row))
|
||||
if r['车牌号']:
|
||||
bak_recs[str(r['车牌号']).strip()] = r
|
||||
bak.close()
|
||||
|
||||
# ── Step 4: Analyze ──
|
||||
print("分析干预数据...")
|
||||
intervention_recs = [r for r in all_recs if r['车牌号'] in test_plates]
|
||||
intervention_plates = set(r['车牌号'] for r in intervention_recs)
|
||||
|
||||
# Stats
|
||||
total_vehicles = len(set(r['车牌号'] for r in all_recs))
|
||||
total_records = len(all_recs)
|
||||
interv_vehicles = len(intervention_plates)
|
||||
interv_records = len(intervention_recs)
|
||||
|
||||
total_actual = sum(float(r['实际行驶里程(km)'] or 0) for r in all_recs)
|
||||
total_tbox = sum(float(r['原TBOX里程(km)'] or 0) for r in all_recs)
|
||||
total_test = sum(float(r['测试里程(km)'] or 0) for r in all_recs)
|
||||
interv_actual = sum(float(r['实际行驶里程(km)'] or 0) for r in intervention_recs)
|
||||
interv_tbox = sum(float(r['原TBOX里程(km)'] or 0) for r in intervention_recs)
|
||||
interv_test = sum(float(r['测试里程(km)'] or 0) for r in intervention_recs)
|
||||
|
||||
# Flip analysis: old达→new未达标
|
||||
flip_recs = []
|
||||
for r in intervention_recs:
|
||||
plate = r['车牌号']
|
||||
old_rec = bak_recs.get(plate)
|
||||
if old_rec:
|
||||
old_q = str(old_rec.get('是否达标', '')).strip() == '达标'
|
||||
new_q = str(r.get('是否达标', '')).strip() == '达标'
|
||||
if old_q and not new_q:
|
||||
flip_recs.append(r)
|
||||
|
||||
# Group flip by target
|
||||
flip_by_target = defaultdict(lambda: defaultdict(lambda: defaultdict(int)))
|
||||
for r in flip_recs:
|
||||
target = r.get('考核目标', '未知')
|
||||
dept = r.get('部门名称', '')
|
||||
sales = r.get('销售经理', '')
|
||||
flip_by_target[target][dept][sales] += 1
|
||||
|
||||
print(f" 全量: {total_vehicles}辆/{total_records}条")
|
||||
print(f" 干预: {interv_vehicles}辆/{interv_records}条")
|
||||
print(f" 达→未达标: {len(flip_recs)}条")
|
||||
print(f" TBOX总计: {total_tbox:.0f}, GPS总计: {total_actual:.0f}, 测试总计: {total_test:.0f}")
|
||||
|
||||
# ── Step 5: Build workbook ──
|
||||
wb = openpyxl.Workbook()
|
||||
|
||||
# ===== Sheet 1: 测试与考核情况说明 =====
|
||||
ws1 = wb.active; ws1.title = '测试与考核情况说明'
|
||||
for col, w in enumerate([4, 30, 18, 18, 18, 18, 18], 1):
|
||||
ws1.column_dimensions[get_column_letter(col)].width = w
|
||||
|
||||
rn = 1
|
||||
set_cell(ws1, rn, 1, '2026年7月 业务考核 — 测试与考核情况说明', title_font)
|
||||
ws1.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=5); rn += 1
|
||||
|
||||
set_cell(ws1, rn, 1, '7月业务考核车辆中，测试车辆统一以指定GPS日里程按考核期汇总替换TBOX里程，差额作为测试里程剥离且最低取0。粤AG37316因GPS缺失，经业务确认暂按0核算。',
|
||||
Font(name='宋体', size=10), light_yellow_fill)
|
||||
ws1.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=5); rn += 2
|
||||
|
||||
# Section 1: Stats
|
||||
set_cell(ws1, rn, 1, '一、7月业务考核与干预情况', subtitle_font); rn += 1
|
||||
for ci, h in enumerate(['项目', '7月业务考核车辆', '涉及测试的车辆', '占比'], 1):
|
||||
set_cell(ws1, rn, ci, h, hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
rn += 1
|
||||
|
||||
stats = [
|
||||
('车辆数(辆)', total_vehicles, interv_vehicles),
|
||||
('产生考核记录数(条)', total_records, interv_records),
|
||||
('仪表盘里程(km)', round(total_tbox), round(interv_tbox)),
|
||||
('业务考核里程 GPS(km)', round(total_actual), round(interv_actual)),
|
||||
('测试里程(km)', round(total_test), round(interv_test)),
|
||||
]
|
||||
for label, all_v, interv_v in stats:
|
||||
ratio = interv_v / all_v if all_v else 0
|
||||
set_cell(ws1, rn, 1, label, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 2, all_v, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 3, interv_v, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 4, ratio, data_font, None, data_align, thin_border, '0.00%')
|
||||
rn += 1
|
||||
|
||||
rn += 2
|
||||
|
||||
# Section 2: Flip details
|
||||
set_cell(ws1, rn, 1, '二、干预车辆考核达标情况说明', subtitle_font); rn += 1
|
||||
flip_total = len(flip_recs)
|
||||
summary_text = f'共 {interv_records} 条考核记录涉及里程干预；替换为GPS里程后，共 {flip_total} 条考核车辆记录由"达标"转判为"未达标"。按车型分类如下：'
|
||||
set_cell(ws1, rn, 1, summary_text, Font(name='宋体', size=10))
|
||||
ws1.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=5); rn += 2
|
||||
|
||||
target_order = ['羚牛136辆4.5T冷链车', '羚牛100辆18T', '交投40辆4.5T普货', '交投190辆4.5T冷链车', '恒运50辆4.5T普货']
|
||||
for target in target_order:
|
||||
if target not in flip_by_target: continue
|
||||
dept_sales = flip_by_target[target]
|
||||
total_cnt = sum(sum(sales.values()) for sales in dept_sales.values())
|
||||
set_cell(ws1, rn, 1, f'▎{target}（{total_cnt} 辆）', subtitle_font)
|
||||
ws1.merge_cells(start_row=rn, start_column=1, end_row=rn, end_column=5); rn += 1
|
||||
|
||||
set_cell(ws1, rn, 1, '部门', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 2, '销售经理', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 3, '数量', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 4, '部门', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 5, '销售经理', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 6, '数量', hdr_green_font, hdr_green_fill, hdr_align, thin_border)
|
||||
rn += 1
|
||||
|
||||
items = []
|
||||
for dept in sorted(dept_sales.keys()):
|
||||
for sales in sorted(dept_sales[dept].keys()):
|
||||
items.append((dept, sales, dept_sales[dept][sales]))
|
||||
|
||||
mid = (len(items) + 1) // 2
|
||||
max_rows = max(mid, len(items) - mid)
|
||||
for i in range(max_rows):
|
||||
if i < mid:
|
||||
d1, s1, c1 = items[i]
|
||||
set_cell(ws1, rn, 1, d1, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 2, s1, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 3, c1, data_font, None, data_align, thin_border)
|
||||
else:
|
||||
for c in [1,2,3]: set_cell(ws1, rn, c, '', data_font, None, data_align, thin_border)
|
||||
if i + mid < len(items):
|
||||
d2, s2, c2 = items[i + mid]
|
||||
set_cell(ws1, rn, 4, d2, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 5, s2, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 6, c2, data_font, None, data_align, thin_border)
|
||||
else:
|
||||
for c in [4,5,6]: set_cell(ws1, rn, c, '', data_font, None, data_align, thin_border)
|
||||
rn += 1
|
||||
rn += 1
|
||||
|
||||
rn += 1
|
||||
|
||||
# Section 3: Column source explanation
|
||||
set_cell(ws1, rn, 1, '三、里程三列数据来源说明', subtitle_font); rn += 1
|
||||
set_cell(ws1, rn, 1, '列', hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 2, '字段名', hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 3, '数据来源', hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
set_cell(ws1, rn, 4, '说明', hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
rn += 1
|
||||
|
||||
col_descs = [
|
||||
('O', '原TBOX里程(km)', '车辆 T-Box / 仪表盘读数', '当月仪表总里程（业务系统原始数据），含运营+测试+调试里程。仅干预车辆填充，非干预车辆为空'),
|
||||
('P', '实际行驶里程(km)', '指定GPS日里程文件', '优先使用智能管车车辆里程日报；缺失车辆由两份里程统计日明细补充，并按考核期逐日汇总。粤AG37316经确认暂按0核算'),
|
||||
('Q', '测试里程(km)', 'O − P（原TBOX − GPS，差额）', '仪表盘跑了但 GPS 未记录到的部分，判定为厂内测试/调试/路试等非运营里程，不计入考核。仅干预车辆填充，非干预车辆为0。若差额为负则取0'),
|
||||
]
|
||||
for col_letter, name, source, desc in col_descs:
|
||||
set_cell(ws1, rn, 1, col_letter, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 2, name, data_font, None, Alignment(horizontal='left', vertical='center'), thin_border)
|
||||
set_cell(ws1, rn, 3, source, data_font, None, data_align, thin_border)
|
||||
set_cell(ws1, rn, 4, desc, data_font, None, Alignment(horizontal='left', vertical='center', wrap_text=True), thin_border)
|
||||
ws1.row_dimensions[rn].height = 40
|
||||
rn += 1
|
||||
|
||||
# ===== Sheet 2: 业务考核视图 (full data,干预标黄) =====
|
||||
ws2 = wb.create_sheet('业务考核视图')
|
||||
target_order_full = ['车牌号','考核年份','考核月份','部门名称','销售经理','客户名称','合同编号','项目名称',
|
||||
'考核目标ID','考核目标','考核开始日期','考核结束日期','考核天数','应考核里程(km)',
|
||||
'原TBOX里程(km)','实际行驶里程(km)','测试里程(km)','完成率(%)','是否达标','考核状态',
|
||||
'交车日期','预计还车日期','实际还车日期']
|
||||
for ci, name in enumerate(target_order_full, 1):
|
||||
set_cell(ws2, 1, ci, name, hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
for ri, r in enumerate(all_recs, 2):
|
||||
is_interv = r['车牌号'] in intervention_plates
|
||||
for ci, name in enumerate(target_order_full, 1):
|
||||
set_cell(ws2, ri, ci, r.get(name), data_font, yellow_fill if is_interv else None, data_align, thin_border)
|
||||
for col, w in enumerate([12,8,8,12,10,26,18,22,10,22,13,12,10,14,16,14,14,12,10,8,12,12,12], 1):
|
||||
ws2.column_dimensions[get_column_letter(col)].width = w
|
||||
|
||||
# ===== Sheet 3: 7月业务考核车辆总览 =====
|
||||
ws3 = wb.create_sheet('7月业务考核车辆总览')
|
||||
for ci, name in enumerate(target_order_full, 1):
|
||||
set_cell(ws3, 1, ci, name, hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
for ri, r in enumerate(all_recs, 2):
|
||||
for ci, name in enumerate(target_order_full, 1):
|
||||
set_cell(ws3, ri, ci, r.get(name), data_font, None, data_align, thin_border)
|
||||
for col, w in enumerate([12,8,8,12,10,26,18,22,10,22,13,12,10,14,16,14,14,12,10,8,12,12,12], 1):
|
||||
ws3.column_dimensions[get_column_letter(col)].width = w
|
||||
|
||||
# ===== Sheet 4: 涉及测试的业务考核车辆 =====
|
||||
ws4 = wb.create_sheet('涉及测试的业务考核车辆')
|
||||
for ci, name in enumerate(target_order_full, 1):
|
||||
set_cell(ws4, 1, ci, name, hdr_blue_font, hdr_blue_fill, hdr_align, thin_border)
|
||||
for ri, r in enumerate(intervention_recs, 2):
|
||||
for ci, name in enumerate(target_order_full, 1):
|
||||
set_cell(ws4, ri, ci, r.get(name), data_font, yellow_fill, data_align, thin_border)
|
||||
for col, w in enumerate([12,8,8,12,10,26,18,22,10,22,13,12,10,14,16,14,14,12,10,8,12,12,12], 1):
|
||||
ws4.column_dimensions[get_column_letter(col)].width = w
|
||||
|
||||
# ── Save ──
|
||||
out = '7月核算结果/租赁任务考核_2026年7月_干预情况说明.xlsx'
|
||||
wb.save(out)
|
||||
|
||||
print(f'\n✅ {out}')
|
||||
print(f'\n概况:')
|
||||
print(f' 全量: {total_vehicles}辆, {total_records}条')
|
||||
print(f' 干预: {interv_vehicles}辆, {interv_records}条')
|
||||
print(f' 达→未达标: {flip_total}条')
|
||||
print(f' 仪表盘里程: {total_tbox:.0f} (干预{interv_tbox:.0f})')
|
||||
print(f' GPS里程: {total_actual:.0f} (干预{interv_actual:.0f})')
|
||||
print(f' 测试里程: {total_test:.0f} (干预{interv_test:.0f})')
|
||||
@@ -0,0 +1,180 @@
|
||||
#!/usr/bin/env python3
|
||||
"""6月测试车辆：用GPS日里程替换仪表盘里程，写入源数据文件"""
|
||||
import openpyxl, pymysql, os
|
||||
from datetime import datetime, date
|
||||
from collections import defaultdict
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
# 1. 读取测试车辆清单
|
||||
fp = '/Users/kkfluous/Library/Containers/com.tencent.xinWeChat/Data/Documents/xwechat_files/wxid_1704407055112_3af8/temp/RWTemp/2026-07/65b41c10aa83cabb7a365b2b8437c1c7/6月测试车辆.xlsx'
|
||||
wb = openpyxl.load_workbook(fp, data_only=True)
|
||||
ws = wb.active
|
||||
rows = list(ws.iter_rows(min_row=1, values_only=True))
|
||||
test_plates = set()
|
||||
for row in rows[1:]:
|
||||
for ci in [0, 3, 6]:
|
||||
p = str(row[ci]).strip() if row[ci] else ''
|
||||
if p and p != 'None':
|
||||
test_plates.add(p)
|
||||
wb.close()
|
||||
print(f'测试车辆: {len(test_plates)}辆')
|
||||
|
||||
# 2. 备份
|
||||
src = '租赁任务考核_2026年6月.xlsx'
|
||||
bak = '租赁任务考核_2026年6月_备份.xlsx'
|
||||
if not os.path.exists(bak):
|
||||
import shutil
|
||||
shutil.copy2(src, bak)
|
||||
print(f'已备份: {bak}')
|
||||
|
||||
# 3. 读源文件
|
||||
wb = openpyxl.load_workbook(src)
|
||||
ws = wb['业务考核视图']
|
||||
h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
recs = []
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
r = dict(zip(h, row))
|
||||
r['row_num'] = len(recs) + 2
|
||||
recs.append(r)
|
||||
|
||||
# 测试车辆在源数据中的记录
|
||||
test_recs = [r for r in recs if r['车牌号'] in test_plates]
|
||||
print(f'测试车辆在6月源数据中的记录: {len(test_recs)}条 ({len(set(r["车牌号"] for r in test_recs))}辆)')
|
||||
|
||||
# 4. 连数据库取GPS
|
||||
conn = pymysql.connect(host='101.133.130.65', port=3306, user='root', password='ln123!@#',
|
||||
database='hydrogen_energy', connect_timeout=30)
|
||||
cur = conn.cursor()
|
||||
|
||||
def get_gps_km(plate, start_str, end_str):
|
||||
"""按考核起止日期汇总GPS日里程(km)"""
|
||||
if not start_str or not end_str:
|
||||
return None
|
||||
try:
|
||||
sd = datetime.strptime(str(start_str)[:10], '%Y-%m-%d').date()
|
||||
ed = datetime.strptime(str(end_str)[:10], '%Y-%m-%d').date()
|
||||
except:
|
||||
return None
|
||||
|
||||
cur.execute("""
|
||||
SELECT dates, total_mileage FROM ln_vehicle_g7_mileage
|
||||
WHERE plate_number = %s AND dates >= %s AND dates <= %s
|
||||
ORDER BY dates
|
||||
""", (plate, sd, ed))
|
||||
rows = cur.fetchall()
|
||||
if not rows:
|
||||
return None
|
||||
|
||||
# total_mileage is daily cumulative (meters). Get daily delta then sum.
|
||||
# Actually check: is it daily km or cumulative? From last time: total_mileage/100000 = km
|
||||
# Let's check if values are ascending (cumulative) or fluctuating (daily)
|
||||
vals = [r[1] for r in rows]
|
||||
is_cumulative = all(vals[i] <= vals[i+1] for i in range(len(vals)-1)) if len(vals) > 1 else False
|
||||
|
||||
if is_cumulative:
|
||||
# Daily delta: today - yesterday
|
||||
deltas = []
|
||||
prev = None
|
||||
for v in vals:
|
||||
if prev is not None and v > prev:
|
||||
deltas.append(v - prev)
|
||||
elif prev is None:
|
||||
deltas.append(v) # first day
|
||||
prev = v
|
||||
total_km = sum(deltas) / 100000
|
||||
else:
|
||||
total_km = sum(vals) / 100000
|
||||
|
||||
return round(total_km, 1)
|
||||
|
||||
# 批量查询: build plate→[(start,end,row_num)] map
|
||||
queries = defaultdict(list)
|
||||
for r in test_recs:
|
||||
plate = r['车牌号']
|
||||
start = r.get('考核开始日期')
|
||||
end = r.get('考核结束日期')
|
||||
queries[plate].append((start, end, r['row_num']))
|
||||
|
||||
# Process each unique plate
|
||||
gps_cache = {}
|
||||
replaced = 0
|
||||
no_data = 0
|
||||
no_data_plates = set()
|
||||
|
||||
for plate in sorted(queries.keys()):
|
||||
# Get all GPS data for this plate in June for caching
|
||||
cur.execute("""
|
||||
SELECT dates, total_mileage FROM ln_vehicle_g7_mileage
|
||||
WHERE plate_number = %s AND dates >= '2026-06-01' AND dates <= '2026-06-30'
|
||||
ORDER BY dates
|
||||
""", (plate,))
|
||||
all_rows = cur.fetchall()
|
||||
if not all_rows:
|
||||
no_data += len(queries[plate])
|
||||
no_data_plates.add(plate)
|
||||
continue
|
||||
|
||||
for start, end, row_num in queries[plate]:
|
||||
km = get_gps_km(plate, start, end)
|
||||
if km is None:
|
||||
no_data += 1
|
||||
no_data_plates.add(plate)
|
||||
else:
|
||||
gps_cache[row_num] = km
|
||||
|
||||
conn.close()
|
||||
|
||||
# 5. 更新源文件
|
||||
# Need to add '原TBOX里程' and '测试里程' columns if not exist
|
||||
# Check existing columns
|
||||
last_col_letter = openpyxl.utils.get_column_letter(ws.max_column)
|
||||
need_new_cols = '原TBOX里程(km)' not in h and '测试里程(km)' not in h
|
||||
|
||||
if need_new_cols:
|
||||
# Add two new columns
|
||||
tbox_col = ws.max_column + 1
|
||||
test_col = ws.max_column + 2
|
||||
ws.cell(row=1, column=tbox_col, value='原TBOX里程(km)')
|
||||
ws.cell(row=1, column=test_col, value='测试里程(km)')
|
||||
# Find the actual行驶里程 column index
|
||||
actual_idx = h.index('实际行驶里程(km)') + 1 # 1-indexed
|
||||
else:
|
||||
tbox_idx = h.index('原TBOX里程(km)') + 1 if '原TBOX里程(km)' in h else None
|
||||
test_idx = h.index('测试里程(km)') + 1 if '测试里程(km)' in h else None
|
||||
|
||||
# Apply replacements
|
||||
for row_num, gps_km in gps_cache.items():
|
||||
# Find column indices in current sheet
|
||||
row_data = [c.value for c in ws[row_num]]
|
||||
h_current = [c.value for c in ws[1]]
|
||||
|
||||
actual_col = h_current.index('实际行驶里程(km)') + 1
|
||||
old_val = ws.cell(row=row_num, column=actual_col).value
|
||||
|
||||
if need_new_cols:
|
||||
tbox_col = h_current.index('原TBOX里程(km)') + 1 if '原TBOX里程(km)' in h_current else ws.max_column - 1
|
||||
test_col = h_current.index('测试里程(km)') + 1 if '测试里程(km)' in h_current else ws.max_column
|
||||
else:
|
||||
tbox_col = h_current.index('原TBOX里程(km)') + 1
|
||||
test_col = h_current.index('测试里程(km)') + 1
|
||||
|
||||
# Write original TBOX mileage
|
||||
ws.cell(row=row_num, column=tbox_col, value=float(old_val) if old_val else 0)
|
||||
# Write test mileage (TBOX - GPS)
|
||||
tbox_val = float(old_val or 0)
|
||||
test_km = round(tbox_val - gps_km, 1)
|
||||
ws.cell(row=row_num, column=test_col, value=test_km)
|
||||
# Replace actual mileage with GPS
|
||||
ws.cell(row=row_num, column=actual_col, value=gps_km)
|
||||
replaced += 1
|
||||
|
||||
wb.save(src)
|
||||
wb.close()
|
||||
|
||||
print(f'\n替换结果:')
|
||||
print(f' 成功替换: {replaced}条')
|
||||
print(f' 无GPS数据: {no_data}条 ({len(no_data_plates)}辆)')
|
||||
if no_data_plates:
|
||||
print(f' 无数据车牌: {sorted(no_data_plates)}')
|
||||
print(f'\n已保存: {src}')
|
||||
@@ -0,0 +1,169 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Step 1: GPS里程替换 - 针对 租赁任务考核_2026年6月 (1).xlsx"""
|
||||
import openpyxl, pymysql, os, shutil
|
||||
from datetime import datetime
|
||||
from collections import defaultdict
|
||||
|
||||
os.chdir('/Users/kkfluous/Downloads')
|
||||
|
||||
# 36辆测试车辆（从上一次GPS替换留底提取）
|
||||
TEST_PLATES = {
|
||||
'粤AGE5480','粤AGF4535','粤AGG3490','粤AGG4135','粤AGG4191',
|
||||
'粤AGP2033','粤AGP3080','粤AGP3663','粤AGP3676','粤AGP5139',
|
||||
'粤AGP5156','粤AGP5163','粤AGP5168','粤AGP5636','粤AGP5767',
|
||||
'粤AGP5768','粤AGP5796','粤AGP9733','粤AGP9786','粤AGR0298',
|
||||
'粤AGR1586','粤AGR3288','粤AGR5056','粤AGR5068','粤AGR5088',
|
||||
'粤AGR6869','粤AGR6877','粤AGR6879','粤AGR6881','粤AGR8506',
|
||||
'粤AGR8551','粤AGR8558','粤AGR8799','粤AGR9866','粤AGR9893',
|
||||
'粤AGR9899',
|
||||
}
|
||||
|
||||
SRC = '租赁任务考核_2026年6月 (1).xlsx'
|
||||
DST = '租赁任务考核_2026年6月.xlsx'
|
||||
BAK = '租赁任务考核_2026年6月_备份_0714.xlsx'
|
||||
|
||||
# 0. 备份现有的6月文件
|
||||
if os.path.exists(DST):
|
||||
shutil.copy2(DST, BAK)
|
||||
print(f'已备份原6月文件 → {BAK}')
|
||||
|
||||
# 1. 复制新源文件为目标文件
|
||||
shutil.copy2(SRC, DST)
|
||||
print(f'源文件: {SRC}')
|
||||
print(f'目标文件: {DST}')
|
||||
|
||||
# 2. 读取目标文件
|
||||
wb = openpyxl.load_workbook(DST)
|
||||
ws = wb['业务考核视图']
|
||||
h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
print(f'列数: {len(h)}, 表头: {h}')
|
||||
|
||||
recs = []
|
||||
for row in ws.iter_rows(min_row=2, values_only=True):
|
||||
r = dict(zip(h, row))
|
||||
r['row_num'] = len(recs) + 2
|
||||
recs.append(r)
|
||||
|
||||
test_recs = [r for r in recs if r['车牌号'] in TEST_PLATES]
|
||||
print(f'测试车辆记录: {len(test_recs)}条 ({len(set(r["车牌号"] for r in test_recs))}辆)')
|
||||
|
||||
# 3. 连接数据库取GPS日里程
|
||||
conn = pymysql.connect(host='101.133.130.65', port=3306, user='root', password='ln123!@#',
|
||||
database='hydrogen_energy', connect_timeout=30)
|
||||
cur = conn.cursor()
|
||||
|
||||
def get_gps_km(plate, start_str, end_str):
|
||||
"""汇总GPS日里程(km)"""
|
||||
if not start_str or not end_str:
|
||||
return None
|
||||
try:
|
||||
sd = datetime.strptime(str(start_str)[:10], '%Y-%m-%d').date()
|
||||
ed = datetime.strptime(str(end_str)[:10], '%Y-%m-%d').date()
|
||||
except:
|
||||
return None
|
||||
|
||||
cur.execute("""
|
||||
SELECT dates, total_mileage FROM ln_vehicle_g7_mileage
|
||||
WHERE plate_number = %s AND dates >= %s AND dates <= %s
|
||||
ORDER BY dates
|
||||
""", (plate, sd, ed))
|
||||
rows = cur.fetchall()
|
||||
if not rows:
|
||||
return None
|
||||
|
||||
vals = [r[1] for r in rows]
|
||||
is_cumulative = all(vals[i] <= vals[i+1] for i in range(len(vals)-1)) if len(vals) > 1 else False
|
||||
|
||||
if is_cumulative:
|
||||
deltas = []
|
||||
prev = None
|
||||
for v in vals:
|
||||
if prev is not None and v > prev:
|
||||
deltas.append(v - prev)
|
||||
elif prev is None:
|
||||
deltas.append(v)
|
||||
prev = v
|
||||
total_km = sum(deltas) / 100000
|
||||
else:
|
||||
total_km = sum(vals) / 100000
|
||||
|
||||
return round(total_km, 1)
|
||||
|
||||
# 批量查询
|
||||
gps_cache = {}
|
||||
replaced = 0
|
||||
no_data = 0
|
||||
no_data_plates = set()
|
||||
|
||||
for r in test_recs:
|
||||
plate = r['车牌号']
|
||||
km = get_gps_km(plate, r.get('考核开始日期'), r.get('考核结束日期'))
|
||||
if km is None:
|
||||
no_data += 1
|
||||
no_data_plates.add(plate)
|
||||
else:
|
||||
gps_cache[r['row_num']] = km
|
||||
|
||||
conn.close()
|
||||
print(f'GPS查询: 成功{len(gps_cache)}条, 无数据{no_data}条')
|
||||
|
||||
# 4. 添加 原TBOX里程(km) 和 测试里程(km) 列
|
||||
if '原TBOX里程(km)' not in h:
|
||||
tbox_col = ws.max_column + 1
|
||||
test_col = ws.max_column + 2
|
||||
ws.cell(row=1, column=tbox_col, value='原TBOX里程(km)')
|
||||
ws.cell(row=1, column=test_col, value='测试里程(km)')
|
||||
# 刷新表头
|
||||
h_new = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
|
||||
else:
|
||||
h_new = h
|
||||
|
||||
# 找列索引
|
||||
actual_idx = h_new.index('实际行驶里程(km)') + 1
|
||||
tbox_idx = h_new.index('原TBOX里程(km)') + 1
|
||||
test_idx = h_new.index('测试里程(km)') + 1
|
||||
|
||||
# 5. 写入GPS数据
|
||||
for row_num, gps_km in gps_cache.items():
|
||||
old_val = ws.cell(row=row_num, column=actual_idx).value
|
||||
|
||||
# 写入原TBOX里程
|
||||
ws.cell(row=row_num, column=tbox_idx, value=float(old_val) if old_val else 0)
|
||||
# 写入测试里程
|
||||
tbox_val = float(old_val or 0)
|
||||
test_km = round(tbox_val - gps_km, 1)
|
||||
ws.cell(row=row_num, column=test_idx, value=test_km)
|
||||
# 替换实际行驶里程为GPS
|
||||
ws.cell(row=row_num, column=actual_idx, value=gps_km)
|
||||
replaced += 1
|
||||
|
||||
# 6. 测试车辆标记黄色背景
|
||||
from openpyxl.styles import PatternFill
|
||||
yellow_fill = PatternFill(start_color='FFFF00', end_color='FFFF00', fill_type='solid')
|
||||
for row_num in gps_cache.keys():
|
||||
for c in range(1, ws.max_column + 1):
|
||||
ws.cell(row=row_num, column=c).fill = yellow_fill
|
||||
|
||||
# 7. 重算完成率和是否达标
|
||||
DAYSM = {1:31,2:28,3:31,4:30,5:31,6:30,7:31,8:31,9:30,10:31,11:30,12:31}
|
||||
for r in recs:
|
||||
rn = r['row_num']
|
||||
actual = ws.cell(row=rn, column=actual_idx).value or 0
|
||||
target = float(r.get('应考核里程(km)') or 0)
|
||||
pct = round(actual / target * 100, 2) if target > 0 else 0
|
||||
q = '达标' if actual >= target and target > 0 else '未达标'
|
||||
# 找完成率列和是否达标列
|
||||
rate_idx = h_new.index('完成率(%)') + 1
|
||||
qualified_idx = h_new.index('是否达标') + 1
|
||||
ws.cell(row=rn, column=rate_idx, value=pct)
|
||||
ws.cell(row=rn, column=qualified_idx, value=q)
|
||||
|
||||
wb.save(DST)
|
||||
wb.close()
|
||||
|
||||
print(f'\n===== GPS替换完成 =====')
|
||||
print(f'替换成功: {replaced}条')
|
||||
print(f'无GPS数据: {no_data}条 ({len(no_data_plates)}辆)')
|
||||
if no_data_plates:
|
||||
print(f'无数据车牌: {sorted(no_data_plates)}')
|
||||
print(f'已保存: {DST}')
|
||||
@@ -0,0 +1,211 @@
|
||||
# 养馋记 · 物流台账闭环 · 全量对照总表
|
||||
|
||||
> **Make 打开本页：** http://localhost:53817/?projectId=make&doc=yangchanji-plan-ab-compare.md
|
||||
> **主库：** `knowledge/产品线1-项目1/04-产品方案/方案AB对照摘要.md`
|
||||
|
||||
| 文档 | Make 打开 |
|
||||
|------|-----------|
|
||||
| **本页 · A/B 对照** | http://localhost:53817/?projectId=make&doc=yangchanji-plan-ab-compare.md |
|
||||
| 方案 A · 可对接 | http://localhost:53817/?projectId=make&doc=yangchanji-plan-a.md |
|
||||
| 方案 B · 不可对接 | http://localhost:53817/?projectId=make&doc=yangchanji-plan-b.md |
|
||||
| 数智中心评估汇总 | http://localhost:53817/?projectId=make&doc=yangchanji-ledger-eval.md |
|
||||
|
||||
| 文档 | 用途 |
|
||||
|------|------|
|
||||
| 本页 | A/B 与共性一表看清 |
|
||||
| 方案 A | 可对接 API 的完整评估（第五、六点） |
|
||||
| 方案 B | 不可对接时的完整评估（第五、六点） |
|
||||
| 数智中心评估汇总 | 双路径合一稿 |
|
||||
|
||||
---
|
||||
|
||||
## 一、方案基本信息对照
|
||||
|
||||
| 对照项 | 方案 A · 可对接 | 方案 B · 不可对接 |
|
||||
|--------|-----------------|-------------------|
|
||||
| 前提 | 养馋记 TMS 提供可用 API + 沙箱 | 无可用 API / 短期对不通 |
|
||||
| 数据进 OneOS | 对方 API 同步（Excel 兜底） | 导入模板 / 手工建单 + 主数据改造 |
|
||||
| 状态回传对方 | 可做（P1） | 本期不做（可导出） |
|
||||
| 特有开发 | 对接适配层 | 导入中心 + 字段改造 |
|
||||
| 可行性 | 有条件可行 | 有条件可行 |
|
||||
| 推荐场景 | 接口确认可用时默认 | 对不通，或先通闭环再切 A |
|
||||
| 版本 | V1.2（表格化） | V1.2（表格化） |
|
||||
|
||||
---
|
||||
|
||||
## 二、第五点八问 · A/B 对照
|
||||
|
||||
| # | 评估问题 | 方案 A | 方案 B |
|
||||
|---|----------|--------|--------|
|
||||
| 1 | 技术上能否实现 | 有条件可行（依赖 API） | 有条件可行（不依赖 API） |
|
||||
| 2 | 数据/接口怎么来 | API：订单/路线/门店等；回传 P1 | 无接口；导入/录入同套业务对象 |
|
||||
| 3 | 我方开发什么 | 对接层 + 待派派单小程序计费对账 | 导入改造 + 待派派单小程序计费对账 |
|
||||
| 4 | 多长时间 | 约 **18～25 周 / 5～6.5 月** | 约 **20～27 周 / 5.5～7 月** |
|
||||
| 5 | 投入人员 | 产1研2测1 + 对方接口人 | 产1研2测1 + **运营导单强依赖** |
|
||||
| 6 | 额外费用 | 联调+小程序等；专线视情况 | 现金更低；**导单隐性成本中** |
|
||||
| 7 | 前置与风险 | API/沙箱/映射；字段不一致、审核延误 | 导单责任/缺口表；导单延误、数据不一致 |
|
||||
| 8 | 分期 | 调研→V0→V1→V2→利润后置 | 同左（V1 多 2～4 周） |
|
||||
|
||||
---
|
||||
|
||||
## 三、周期对照（已压缩调研+V0）
|
||||
|
||||
| 阶段 | 方案 A | 方案 B | 备注 |
|
||||
|------|--------|--------|------|
|
||||
| 业务调研 | 1～2 周 | 1～2 周 | 与 V0 可并行收口 |
|
||||
| V0 门禁 | 约 1 周 | 约 1 周 | |
|
||||
| **调研+V0** | **约 2～3 周** | **约 2～3 周** | 原 3～6 周减半 |
|
||||
| V1 | 12～16 周 | 14～18 周 | B 含导入改造 |
|
||||
| V2 | 4～6 周 | 4～6 周 | |
|
||||
| 利润（后置） | 另 2～4 周 | 另 2～4 周 | 不进首批退出 |
|
||||
| **首批合计** | **约 5～6.5 个月** | **约 5.5～7 个月** | 含调研 |
|
||||
|
||||
---
|
||||
|
||||
## 四、业务时序与已拍板规则（A/B 相同）
|
||||
|
||||
| 步骤 | 规则 |
|
||||
|------|------|
|
||||
| 1 | 数据进入 OneOS（A=API / B=导入或录入） |
|
||||
| 2 | 自动生成待派任务 |
|
||||
| 3 | 人工选车、选司机并派单 |
|
||||
| 4 | **派单后**司机小程序才可见任务 |
|
||||
| 5 | 正常情况：**当前运单未完成，不可接下一单** |
|
||||
| 6 | 办结运单后 → **才触发正式计费/出账** |
|
||||
| 7 | V2：成本归集 + 流水 + 合作方只读确认 |
|
||||
| 8 | 利润抽点在流水与应收应付之后 |
|
||||
|
||||
| 已拍板项 | 结论 |
|
||||
|----------|------|
|
||||
| 首批范围 | V0+V1+V2；V3（用友等）不计入 |
|
||||
| 计费 | 多模型引擎；每客户只绑一种 |
|
||||
| 对账深度 | 只读 + 确认（无驳回/补凭证） |
|
||||
| 司机端 | 微信小程序，V1 必达 |
|
||||
| 氢/ETC | 可先运费；V2 必须做完 |
|
||||
| 编制 | 产品1 + 研发2 + 测试1 |
|
||||
|
||||
| 待确认项 | 说明 |
|
||||
|----------|------|
|
||||
| 走 A / B / 先 B 后 A | 调研结束书面选定 |
|
||||
| 车司机是否固定绑定 | 运营确认 |
|
||||
| 异常是否允许代办结 | 运营确认 |
|
||||
| 规则包书面试算样例 | 业务+财务 |
|
||||
| 利润具体参数 | 后置再锁 |
|
||||
|
||||
---
|
||||
|
||||
## 五、数据对象对照（业务要什么 × 怎么拿到）
|
||||
|
||||
| 数据对象 | 用途 | 方案 A 获取 | 方案 B 获取 | 优先级 |
|
||||
|----------|------|-------------|-------------|--------|
|
||||
| 订单 | 生成待派 | 对方 API | 导入/手工建单 | P0 |
|
||||
| 路线/经停 | 派单与司机点序 | 对方 API | 导入/录入 | P0 |
|
||||
| 门店主数据 | 主数据与对账 | API 或首导+增量 | 批量导入+日常维护 | P0 |
|
||||
| 货物/物料 | 温层货量/计价 | API（汇总或明细） | 随单导入或汇总填 | P0/按需 |
|
||||
| 运费要素 | 办结后计费 | 订单内或规则侧 | 导入列或规则侧 | P0 |
|
||||
| 车/司机 | 人工派单 | 我方主数据为主 | 同左 | P0 |
|
||||
| 状态回传 | 告知对方 | OneOS→对方 API | 不做接口（可导出） | A:P1 / B:— |
|
||||
| 氢费/ETC | V2 成本 | 我方内部系统 | 同左 | V2 |
|
||||
|
||||
---
|
||||
|
||||
## 六、我方功能对照
|
||||
|
||||
| 功能模块 | 方案 A | 方案 B | 阶段 |
|
||||
|----------|--------|--------|------|
|
||||
| 对接适配（鉴权/同步/映射/幂等/重试/差异日志） | ✅ | ❌（可不建） | V0～V1 |
|
||||
| 主数据/单据字段改造 | 按需 | ✅ 重点 | V0～V1 |
|
||||
| 导入中心（模板/校验/重导） | 仅兜底 | ✅ 重点 | V1 |
|
||||
| 手工建单/维护 | 辅 | ✅ | V1 |
|
||||
| 待派任务池 | ✅ | ✅ | V1 |
|
||||
| 人工调度台 | ✅ | ✅ | V1 |
|
||||
| 司机微信小程序 | ✅ | ✅ | V1 |
|
||||
| 办结后计费出账 | ✅ | ✅ | V1 |
|
||||
| 成本归集 | ✅ | ✅ | V2 |
|
||||
| 流水/应收应付/只读确认 | ✅ | ✅ | V2 |
|
||||
| 利润抽点 | 后置 | 后置 | V2 后 |
|
||||
| 用友 | 不计入 | 不计入 | V3 |
|
||||
|
||||
---
|
||||
|
||||
## 七、人员与费用对照
|
||||
|
||||
| 角色/费用项 | 方案 A | 方案 B |
|
||||
|-------------|--------|--------|
|
||||
| 产品 | 1 | 1 |
|
||||
| 研发 | 2 | 2 |
|
||||
| 测试 | 1 | 1 |
|
||||
| 养馋记配合 | 接口人强 | 台账/导出样例弱 |
|
||||
| 运营配合 | 调研+双跑 | **导单责任人+日常导单（强）** |
|
||||
| 对方 API 联调费 | 可能有 | 无 |
|
||||
| 小程序认证 | 必需 | 必需 |
|
||||
| 短信 | 可选 | 可选 |
|
||||
| 氢/ETC 源 | V2 必需 | V2 必需 |
|
||||
| 独立服务器 | 通常否 | 通常否 |
|
||||
| 隐性成本 | 联调等待 | **持续导单与主数据质量** |
|
||||
|
||||
---
|
||||
|
||||
## 八、第六点确认事项 · A/B 对照
|
||||
|
||||
| # | 原文件确认项 | 方案 A 状态 | 方案 B 状态 |
|
||||
|---|--------------|-------------|-------------|
|
||||
| 1 | 标准接口还是 Excel | 假定 **API**；Excel 兜底 | 假定 **无 API**；Excel/模板为主 |
|
||||
| 2 | 能提供哪些字段 | 待映射表收口 | 按业务 P0 定导入列 |
|
||||
| 3 | 状态能否实时回传 | 目标 P1；调研确认是否准实时 | **本期不做**系统回传 |
|
||||
| 4 | 氢费/ETC 从哪来 | 我方内部；V2 | 同左 |
|
||||
| 5 | 司机端形态 | **已定小程序** | **已定小程序** |
|
||||
| 6 | 车司机是否绑定 | 待运营确认 | 待运营确认 |
|
||||
| 7 | 利润怎么配 | 后置；按客户配 | 同左 |
|
||||
| 8 | 对账深度 | **已定只读+确认** | **已定只读+确认** |
|
||||
| 9 | 是否接用友 | **本期不做** | **本期不做** |
|
||||
|
||||
---
|
||||
|
||||
## 九、分期退出标准对照
|
||||
|
||||
| 期次 | 方案 A 退出标准 | 方案 B 退出标准 |
|
||||
|------|-----------------|-----------------|
|
||||
| 调研 | 确认可对接；字段草案+原型范围 | 确认走 B（或先 B）；缺口表+导单责任+原型范围 |
|
||||
| V0 | 映射确认、规则样例、小程序账号、沙箱就绪 | 导入模板、字段缺口确认、规则样例、小程序账号就绪 |
|
||||
| V1 | 双跑运费可解释；小程序可用；办结出账；未完成不可接下一单 | 导入可生成待派；其余同 A |
|
||||
| V2 | 成本进项目；双方月确认一版 | 同左（对内或合作方账号） |
|
||||
| 利润 | 后置 | 后置 |
|
||||
|
||||
| 名词 | 含义（白话） |
|
||||
|------|----------------|
|
||||
| 退出标准 | 本期做到什么才算结束、可进下一期 |
|
||||
| 双跑出账可解释（V1） | 运费应收侧能讲清；完整应付成本在 V2 |
|
||||
| 映射确认 | A=对方字段↔OneOS；B=导入列↔OneOS |
|
||||
|
||||
---
|
||||
|
||||
## 十、决策日志 · 养馋记台账相关（已拍板对照）
|
||||
|
||||
| 日期 | 议题 | 结论 |
|
||||
|------|------|------|
|
||||
| 2026-08-10 | 首批范围 | 批准 V0+V1+V2；V3 不计入 |
|
||||
| 2026-08-10 | 计费模型 | 多模型引擎；每客户只绑一种 |
|
||||
| 2026-08-10 | 对账深度 | 只读+确认 |
|
||||
| 2026-08-10 | 司机端 | 微信小程序；V1 必达 |
|
||||
| 2026-08-10 | 氢/ETC | 可先运费；V2 必做完 |
|
||||
| 2026-08-10 | 利润 | 流水与应收应付之后 |
|
||||
| 2026-08-10 | 编制 | 产1研2测1 |
|
||||
| 2026-08-10 | 时序 | 派单后可见；办结后计费 |
|
||||
| 2026-08-10 | 接单约束 | 未完成不可接下一单 |
|
||||
| 2026-08-11 | 数据路径 | A API / B 导入改造 |
|
||||
| 2026-08-11 | 周期 | 调研+V0≈2～3周；A≈5～6.5月；B≈5.5～7月 |
|
||||
|
||||
---
|
||||
|
||||
## 十一、评估结果一览（并排）
|
||||
|
||||
| 评估结果项 | 方案 A | 方案 B |
|
||||
|------------|--------|--------|
|
||||
| 可行性 | 有条件可行 | 有条件可行 |
|
||||
| 数据策略 | 对方 API 主路径 | OneOS 改造+导入/维护 |
|
||||
| 周期 | 约 5～6.5 个月 | 约 5.5～7 个月 |
|
||||
| 人员 | 产1研2测1 | 产1研2测1+运营强依赖 |
|
||||
| 费用感 | 低～中 | 现金低、运营成本中 |
|
||||
| 首批 | 调研→V0→V1→V2 | 同左 |
|
||||
| 利润/用友 | 后置 / 不计入 | 同左 |
|
||||
@@ -0,0 +1,97 @@
|
||||
# 养馋记物流派单与对账模块建设评估
|
||||
## 管理层汇报版
|
||||
|
||||
> 本次仅进行方案与工作量评估，暂不进入开发。
|
||||
> 目标：养馋记订单及路线数据接入 **OneOS**，形成“派单—费用归集—利润核算—月度对账”闭环。
|
||||
|
||||
---
|
||||
|
||||
## 一、结论与请决
|
||||
|
||||
### 结论
|
||||
|
||||
- **项目可做，但以 API、费用口径和成本数据可用为前提。**
|
||||
- **首期采用“系统辅助 + 人工派单”**，不做全自动排班。
|
||||
- 按“三阶段”推进：先跑通业务与 T+1 暂算盈亏，再完成对账闭环，最后建设 AI 智能调度。
|
||||
|
||||
### 请决事项
|
||||
|
||||
1. 同意第一阶段按 **1 个月 MVP** 推进；
|
||||
2. 同意以养馋记 API 为主、Excel/人工建单为兜底；
|
||||
3. 同意第一阶段配置产品 1 人、研发 2 人、测试 1 人；
|
||||
4. 同意 API 门禁、字段清单、费用试算样例和 OneOS 成本匹配规则确认后，正式启动开发。
|
||||
|
||||
---
|
||||
|
||||
## 二、分阶段投入总表
|
||||
|
||||
| 阶段 | 核心交付 | 周期 | 人员配置 | 阶段人力成本 | 累计人力成本 |
|
||||
| --- | --- | ---: | --- | ---: | ---: |
|
||||
| **启动门禁** | API/字段确认、业务调研、计费试算、OneOS 成本数据匹配、原型与测试环境 | 约 1 周 | 产品 1、研发 2；测试按需 | 纳入第一阶段 | — |
|
||||
| **第一阶段：MVP** | 订单接入、物流台账、待派任务、人工派车/派司机、司机端基础执行、OneOS 氢费/ETC 归集、逐单及 T+1 暂算盈亏 | **约 1 个月** | 产品 1、研发 2、测试 1 | **96,600 元** | **96,600 元** |
|
||||
| **第二阶段：业务与对账闭环** | 改单取消、异常办结、完整费用与车辆成本、计费规则、利润精算、明细账/汇总账、月度对账、合作方在线对账、GPS 异常管控 | **2—3 个月** | 产品 1、研发 2、测试 1 | **206,400—322,200 元** | **303,000—418,800 元** |
|
||||
| **第三阶段：AI 智能调度试点** | 车辆/司机推荐、串单串点、复跑优化、车型装载匹配、空驶/绕行/无效 ETC 优化 | 数据积累 3—6 个月；试点开发 3—4 个月 | 产品 1、研发/算法 2—3、测试 1 | **475,200—633,600 元** | **778,200—1,052,400 元** |
|
||||
|
||||
### 成本口径
|
||||
|
||||
| 成本项 | 口径 |
|
||||
| --- | --- |
|
||||
| 产品、研发 | 1,500 元/人天 |
|
||||
| 测试 | 1,200 元/人天 |
|
||||
| 第一、二阶段满负荷日成本 | 5,700 元/工作日 |
|
||||
| 当前建议审批范围 | **第一阶段 + 第二阶段：303,000—418,800 元** |
|
||||
| 含 AI 试点的远期总投入 | **778,200—1,052,400 元**，待数据准备完成后单独立项 |
|
||||
|
||||
> 第二、三阶段为评估值；正式报价按 API 成熟度、费用规则数量、对账权限范围及实际人天核定。
|
||||
|
||||
---
|
||||
|
||||
## 三、各阶段能做什么
|
||||
|
||||
| 能力 | 第一阶段 | 第二阶段 | 第三阶段 |
|
||||
| --- | --- | --- | --- |
|
||||
| 养馋记订单、路线接入 | ✔ | 完善异常与状态回传 | — |
|
||||
| 待派任务、人工派单 | ✔ | 完善拆单、换车换人、异常流程 | 智能推荐 |
|
||||
| 司机端执行与凭证 | ✔ | 完善异常与闭环 | — |
|
||||
| OneOS 氢费、ETC 归集 | ✔（基础归集） | 完整费用、车辆成本和精算 | 成本优化建议 |
|
||||
| 逐单利润 | ✔（暂算） | ✔（精算、可对账） | 优化决策 |
|
||||
| 月度账单、合作方在线对账 | — | ✔ | — |
|
||||
| AI 智能调度 | — | 数据积累 | ✔（试点） |
|
||||
|
||||
### 第一阶段验收标准
|
||||
|
||||
> **养馋记订单接入 → 待派任务 → 人工派车/派司机 → 司机执行与办结 → OneOS 氢费/ETC 归集 → 逐单暂算 → T+1 盈亏查看**
|
||||
|
||||
首期不包含：完整月度对账、合作方确认/驳回、用友接口、全自动派单及 AI 调度。
|
||||
|
||||
---
|
||||
|
||||
## 四、成本事项
|
||||
|
||||
| 类别 | 具体事项 | 是否纳入上述人力成本 |
|
||||
| --- | --- | --- |
|
||||
| 人力成本 | 产品、研发、测试投入 | **已纳入** |
|
||||
| API 与联调 | 养馋记接口服务、联调支持、可能的信息服务费 | 未纳入，待确认 |
|
||||
| 平台服务 | 小程序认证、短信/消息、地图、GPS 服务 | 未纳入，按实际使用核定 |
|
||||
| 基础设施 | 云服务器、数据库、对象存储、独立部署及运维 | 未纳入，按部署方案核定 |
|
||||
| 财务/第三方系统 | 用友等系统后续接口 | 未纳入，本期不做 |
|
||||
|
||||
---
|
||||
|
||||
## 五、启动前门禁与主要风险
|
||||
|
||||
| 门禁事项 | 不确认的影响 |
|
||||
| --- | --- |
|
||||
| 养馋记 API 文档、鉴权、沙箱、字段和同步时效 | 首期范围和周期无法锁定 |
|
||||
| 新单、改单、取消单、拆单及状态回传规则 | 任务与派单逻辑不完整 |
|
||||
| 运费、抽点、杂费、车辆成本的试算样例 | 利润和对账结果可能有争议 |
|
||||
| OneOS 氢费、ETC 的来源、时效和运单匹配规则 | 只能形成暂算，无法精算 |
|
||||
| 合作方对账权限：只读、确认、驳回、补凭证 | 第二阶段在线对账无法闭环 |
|
||||
|
||||
---
|
||||
|
||||
## 六、建议决策
|
||||
|
||||
1. **本次先批准第一阶段 MVP，预算 96,600 元，周期约 1 个月。**
|
||||
2. 第一阶段验收后，再按实际业务量和对账规则确认第二阶段 2—3 个月投入。
|
||||
3. AI 智能调度不纳入当前开发承诺；待业务闭环稳定、累计 3—6 个月真实数据后，以试点方式单独立项。
|
||||
@@ -0,0 +1,26 @@
|
||||
# 养馋记物流派单与对账模块建设评估
|
||||
|
||||
## 一、结论与请决
|
||||
|
||||
- **项目可做**：以养馋记 API、费用规则及 OneOS 成本数据可用为前提。
|
||||
- **首期策略**：系统辅助、人工派单；暂不做全自动与 AI 调度。
|
||||
- **本次请决**：同意先启动第一阶段 MVP，接口与试算样例确认后正式开发。
|
||||
|
||||
## 二、分阶段投入
|
||||
|
||||
| 阶段 | 主要交付 | 周期 | 人力成本 |
|
||||
| --- | --- | --- | --- |
|
||||
| 第一阶段：MVP | 订单接入、人工派单、司机执行、氢费/ETC 归集、逐单及 T+1 暂算盈亏 | 1 个月 | **114,000 元** |
|
||||
| 第二阶段：对账闭环 | 异常处理、费用精算、月度账单、合作方在线对账 | 1—2 个月 | **114,000—228,000 元**；累计 **228,000—342,000 元** |
|
||||
| 第三阶段：AI 试点 | 串单/串点、复跑、车型匹配及成本优化建议 | 数据积累 2—3 个月；试点 1—2 个月 | **114,000—288,000 元**；远期累计 **342,000—630,000 元** |
|
||||
|
||||
## 三、成本口径
|
||||
|
||||
- 产品、研发：**1,500 元/人天**；测试：**1,200 元/人天**。
|
||||
- 第一、二阶段配置：产品 1 人、研发 2 人、测试 1 人；按 20 个工作日/月计算，日成本 **5,700 元**。
|
||||
- AI 试点配置：产品 1 人、研发/算法 2—3 人、测试 1 人；数据积累期随前两阶段业务运行完成，不单独计入开发人力。
|
||||
- 上述为人力成本；API 联调、小程序认证、短信/地图/GPS、云资源及独立部署按实际方案另计。
|
||||
|
||||
## 四、启动门禁
|
||||
|
||||
确认 API 与字段、订单状态规则、费用试算样例及 OneOS 氢费/ETC 匹配规则后启动。
|
||||
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Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user