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No commits in common. "30867f302c83e77497eb5fa6ed1259b5301271a7" and "f87b4186bbf3b40ea82409c571630ed50f6650f0" have entirely different histories.
30867f302c
...
f87b4186bb
133
main.py
133
main.py
@ -48,14 +48,6 @@ def format_time(dt,info):
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logging.warning(f"[{info}]时间格式错误：{dt}")
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return dt
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def format_time_ymd(dt,info):
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try:
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return dt.strftime("%Y.%m.%d")
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except:
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logging.warning(f"[{info}]时间格式错误：{dt}")
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return dt
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def to_int(x):
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try:
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return int(x)
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@ -277,14 +269,14 @@ def fill_history_info(ws, History_pd):# 填充历史记录
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for col in range(1, 11): # 复制样式
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ws.cell(row=H_START+index, column=col)._style = ws.cell(row=H_START, column=col)._style
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try:
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ws.cell(row=H_START+index, column=1, value=format_time(hrow["变动后时间"],"历史时间"))
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ws.cell(row=H_START+index, column=1, value=format_time(hrow["时间"],"历史时间"))
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except:
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logging.warning(f"历史时间格式错误：{hrow['时间']}")
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ws.cell(row=H_START+index, column=2, value=hrow["变动后职务"])
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ws.cell(row=H_START+index, column=3, value=hrow["变动后职务工资"])
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ws.cell(row=H_START+index, column=4, value=hrow["变动后级别档次"])
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ws.cell(row=H_START+index, column=5, value=hrow["变动后级别工资"])
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ws.cell(row=H_START+index, column=6, value=hrow["变动后工资合计"])
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ws.cell(row=H_START+index, column=2, value=hrow["职务"])
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ws.cell(row=H_START+index, column=3, value=hrow["职务工资"])
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ws.cell(row=H_START+index, column=4, value=hrow["级别档次"])
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ws.cell(row=H_START+index, column=5, value=hrow["级别工资"])
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ws.cell(row=H_START+index, column=6, value=hrow["工资合计"])
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ws.cell(row=H_START+index, column=7, value=hrow["变动原因"])
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# ws.cell(row=H_START+index, column=8, value=index) # Debug
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@ -352,117 +344,85 @@ def main():
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fill_prompt_info(ws, promote)# 填充晋升信息
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# 根据规则匹配职级薪资
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History_pd = pd.DataFrame(columns=[
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"身份证号码", "姓名", # 统一填入
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"变动后时间", "变动后职务", "变动原因", "晋升备注", # 直接填入
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"工龄", "五年1级年份", "两年1档年份", # 简单计算更新
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"变动前时间", "变动前职务", "变动前级别档次", "变动前职务工资", "变动前级别工资", "变动前津贴工资", "变动前工资合计", # 排序后更新
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"变动后级别档次", "变动后职务工资", "变动后级别工资", "变动后津贴工资", "变动后工资合计"]) # 复杂计算更新
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History_pd = pd.DataFrame(columns=["时间", "职务", "职务工资", "级别档次", "级别工资", "工资合计", "变动原因", "晋升备注"])
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# 添加入职记录
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History_pd.loc[len(History_pd), ["变动后时间","变动后职务","变动原因","变动后级别档次"]] = [
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row["入职时间"],row["初始职务"],"套改/定级",row["入职时的初始级别"]]
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History_pd.loc[len(History_pd)] = [row["入职时间"], row["初始职务"], "", row["入职时的初始级别"], "", "", "套改/定级", ""]
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for index, prow in promote.iterrows(): # 添加晋升记录
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History_pd.loc[len(History_pd),["变动后时间","变动后职务","变动原因","晋升备注"]] = [
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prow["工资执行时间"]+relativedelta(hours=prow["任职时间"].month,minutes=prow["任职时间"].day),
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prow["新职务"],"晋升",f"任{prow['新职务']} {prow['变动批注'] if pd.notna(prow['变动批注']) else ''}"]
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History_pd.loc[len(History_pd)] = [prow["工资执行时间"]+relativedelta(hours=prow["任职时间"].month,minutes=prow["任职时间"].day), prow["新职务"], "", "", "", "", "晋升", f"任{prow['新职务']} {prow['变动批注'] if pd.notna(prow['变动批注']) else ''}"]
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try:
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# 添加晋档记录
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calctime=row["晋档起始"] + relativedelta(minute=1)
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while True:
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while True: # 添加晋档记录
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calctime += relativedelta(years=row["晋档间隔"])
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if calctime > NOWTIME:
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break
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History_pd.loc[len(History_pd),["变动后时间","变动原因"]] = [
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calctime,"两年晋档"]
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History_pd.loc[len(History_pd)] = [calctime, "", "", "", "", "", "两年晋档", ""]
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calctime=row["晋级起始"]
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# 添加晋级记录
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while True:
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while True: # 添加晋级记录
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calctime += relativedelta(years=row["晋级间隔"])
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if calctime > NOWTIME:
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break
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History_pd.loc[len(History_pd),["变动后时间","变动原因"]] = [
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calctime,"五年晋级"]
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History_pd.loc[len(History_pd)] = [calctime, "", "", "", "", "", "五年晋级", ""]
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except:
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raise Exception(f"晋级、档起始或间隔时间格式错误：{row['晋级起始']}-{row['晋档起始']}-{row['晋级间隔']}-{row['晋档间隔']}")
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# 工资调标
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for rule in Rule_Level:
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for rule in Rule_Level: # 工资调标
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if row["入职时间"] < rule["start"]:
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History_pd.loc[len(History_pd),["变动后时间","变动原因"]] = [rule["start"], "工资调标"]
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History_pd["身份证号码"] = row["身份证号码"]
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History_pd["姓名"] = row["姓名"]
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History_pd["工龄"] = History_pd.apply(lambda x: calculate_seniority(row, x["变动后时间"].year), axis=1)
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History_pd["五年1级年份"] = History_pd.apply(lambda x: x["变动后时间"].year - row["晋级起始"].year, axis=1)
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History_pd["两年1档年份"] = History_pd.apply(lambda x: x["变动后时间"].year - row["晋档起始"].year, axis=1)
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History_pd = History_pd.sort_values(by="变动后时间").reset_index(drop=True)
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History_pd.loc[len(History_pd)] = [rule["start"], "", "", "", "", "", "工资调标", ""]
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History_pd = History_pd.sort_values(by="时间").reset_index(drop=True)
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if History_pd.at[0,"变动后时间"] != row["入职时间"]:
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raise Exception(f"入职时间晚于其他时间:{row['入职时间']} < {History_pd.at[0,'变动后时间']} ({History_pd.at[0,'变动原因']})")
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# 复杂数据计算
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for index, hrow in History_pd.iterrows():
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# 继承上一条复杂计算数据
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if index > 0:
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History_pd.at[index, "变动前时间"] = History_pd.at[index-1, "变动后时间"]
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History_pd.at[index, "变动前职务"] = History_pd.at[index-1, "变动后职务"]
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History_pd.at[index, "变动前级别档次"] = History_pd.at[index-1, "变动后级别档次"]
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History_pd.at[index, "变动前职务工资"] = History_pd.at[index-1, "变动后职务工资"]
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History_pd.at[index, "变动前级别工资"] = History_pd.at[index-1, "变动后级别工资"]
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History_pd.at[index, "变动前津贴工资"] = History_pd.at[index-1, "变动后津贴工资"]
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History_pd.at[index, "变动前工资合计"] = History_pd.at[index-1, "变动后工资合计"]
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# 继承名称
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if pd.isna(hrow["变动后职务"]):
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History_pd.at[index,"变动后职务"] = History_pd.at[index,"变动前职务"]
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# 名称变化
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for rule in Rule_RoleName:
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if rule["start"] <= hrow["变动后时间"] <= rule["end"]:
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if History_pd.at[index,"变动后职务"] in rule["rule"]["原名称"].values:
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History_pd.at[index,"变动后职务"] = rule["rule"][rule["rule"]["原名称"] == History_pd.at[index,"变动后职务"]]["现名称"].values[0]
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# 级别档次
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if index > 0:
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jb, dc = split_level(History_pd.at[index,"变动前级别档次"])
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if History_pd.at[0,"时间"] != row["入职时间"]:
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raise Exception(f"入职时间晚于其他时间:{row['入职时间']} < {History_pd.at[0,'时间']} ({History_pd.at[0,'变动原因']})")
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for index, hrow in History_pd.iterrows(): # 数据计算
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# 调整职务职级
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if index > 0 and hrow["职务"] == "":
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History_pd.at[index, "职务"] = History_pd.iloc[index-1]["职务"]
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for rule in Rule_RoleName: # 名称变化
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if rule["start"] <= hrow["时间"] <= rule["end"]:
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if History_pd.iloc[index]["职务"] in rule["rule"]["原名称"].values:
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History_pd.at[index, "职务"] = rule["rule"][rule["rule"]["原名称"] == History_pd.iloc[index]["职务"]]["现名称"].values[0]
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if index > 0 and hrow["级别档次"] == "":
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jb, dc = split_level(History_pd.iloc[index-1]["级别档次"])
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if hrow["变动原因"] == "两年晋档":
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History_pd.at[index, "变动后级别档次"] = f"{jb}-{dc+1}"
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History_pd.at[index, "级别档次"] = f"{jb}-{dc+1}"
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elif hrow["变动原因"] == "五年晋级":
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if jb-1 < 1 or jb-1 < role_limit(History_pd.iloc[index]["变动后职务"]):
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History_pd.at[index, "变动后级别档次"] = f"{jb}-{dc+1}"
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if jb-1 < 1 or jb-1 < role_limit(History_pd.iloc[index]["职务"]):
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History_pd.at[index, "级别档次"] = f"{jb}-{dc+1}"
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else:
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History_pd.at[index, "变动后级别档次"] = f"{jb-1}-{dc-1}"
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History_pd.at[index, "级别档次"] = f"{jb-1}-{dc-1}"
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elif hrow["变动原因"] == "工资调标":
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History_pd.at[index, "变动后级别档次"] = f"{jb}-{dc}"
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History_pd.at[index, "级别档次"] = f"{jb}-{dc}"
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elif hrow["变动原因"] == "晋升":
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role = History_pd.iloc[index]["变动后职务"]
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role = History_pd.iloc[index]["职务"]
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if role in Promote_Level.keys():
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new_jb = jb + Promote_Level[role][0]
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new_dc = dc + Promote_Level[role][1]
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if pd.isna(new_jb) or pd.isna(new_dc):
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print(Promote_Level[role][1])
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raise Exception(f"级别档次计算出现NaN值：[{new_jb}]-[{new_dc}]({role})")
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else:
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new_jb = int(new_jb)
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new_dc = int(new_dc)
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if (History_pd.at[index,"变动后职务"] in Promote_verify.iloc[:,0].values and
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if (History_pd.iloc[index-1]["职务"] in Promote_verify.iloc[:,0].values and
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role in Promote_verify.iloc[:,1].values):
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logging.info(f"[{row['身份证号码']}]命中晋升校验规则[{History_pd.at[index,'变动前职务']}]->[{role}]")
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History_pd.at[index, "变动后级别档次"] = f"{jb}-{dc}"
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logging.info(f"[{row['身份证号码']}]命中晋升校验规则[{History_pd.iloc[index-1]['职务']}]->[{role}]")
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History_pd.at[index, "级别档次"] = f"{jb}-{dc}"
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elif new_jb < role_limit(role):
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History_pd.at[index, "变动后级别档次"] = f"{jb}-{dc+1}"
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History_pd.at[index, "级别档次"] = f"{jb}-{dc+1}"
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elif new_jb < 1 or new_dc < 1:
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raise Exception(f"级别档次小于0：[{new_jb}]-[{new_dc}]")
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else:
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History_pd.at[index, "变动后级别档次"] = f"{new_jb}-{new_dc}"
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History_pd.at[index, "级别档次"] = f"{new_jb}-{new_dc}"
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else:
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logging.warning(f"职位[{role}]不存在职级上限规则")
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else:
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History_pd.at[index, "变动后级别档次"] = History_pd.at[index, "变动前级别档次"]
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# 计算工资
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History_pd.at[index, "变动后职务工资"] = role_salary(History_pd.iloc[index]["变动后职务"], hrow["变动后时间"])
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History_pd.at[index, "变动后级别工资"] = level_salary(History_pd.iloc[index]["变动后级别档次"], hrow["变动后时间"])
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History_pd.at[index, "变动后工资合计"] = to_int(History_pd.iloc[index]["变动后职务工资"]) + to_int(History_pd.iloc[index]["变动后级别工资"])
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History_pd.at[index, "职务工资"] = role_salary(History_pd.iloc[index]["职务"], hrow["时间"])
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History_pd.at[index, "级别工资"] = level_salary(History_pd.iloc[index]["级别档次"], hrow["时间"])
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History_pd.at[index, "工资合计"] = to_int(History_pd.iloc[index]["职务工资"]) + to_int(History_pd.iloc[index]["级别工资"])
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fill_history_info(ws, History_pd)# 填充历史记录
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# 将当前人员的历史记录添加到总表中
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History_pd["身份证号码"] = row["身份证号码"]
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History_pd["姓名"] = row["姓名"]
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all_history = pd.concat([all_history, History_pd], ignore_index=True)
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wb.save(f"个人台账/{row['身份证号码']}_{row['姓名']}.xlsx")
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@ -470,8 +430,7 @@ def main():
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logging.error(f"{row['身份证号码']}:{e}")
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# 保存所有历史记录到Excel文件
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all_history["变动后时间"] = all_history["变动后时间"].apply(lambda x: format_time_ymd(x, "历史记录时间"))
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all_history["变动前时间"] = all_history["变动前时间"].apply(lambda x: format_time_ymd(x, "历史记录时间"))
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all_history["时间"] = all_history["时间"].apply(lambda x: format_time(x, "历史记录时间"))
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all_history.to_excel("所有人员历史记录.xlsx", index=False)
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logging.info("所有人员历史记录已保存到'所有人员历史记录.xlsx'")
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