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512song committed 2024-11-07 09:35:36 +00:00
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体测单位/天津石化.ipynb
+386 -158
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@@ -2252,16 +2252,9 @@
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@@ -2499,27 +2492,12 @@
},
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{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
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"source": [
"import os,sys,shutil\n",
"import json\n",
@@ -2558,16 +2536,9 @@
},
{
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@@ -2734,27 +2705,12 @@
},
{
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{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"outputs": [],
"source": [
"import json\n",
"import csv\n",
@@ -2796,29 +2752,12 @@
},
{
"cell_type": "code",
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"execution_count": null,
"id": "9b469138-1da9-43ca-98e8-8dc6cb3916ce",
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{
"name": "stdout",
"output_type": "stream",
"text": [
"1730629\n",
"3499711\n",
"3145556\n"
]
}
],
"outputs": [],
"source": [
"import json\n",
"import csv\n",
@@ -2869,26 +2808,10 @@
},
{
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"id": "2fdbadd7-e9b1-45bf-ae95-52b4d65e03e8",
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{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
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"source": [
"import openpyxl\n",
"import json\n",
@@ -2926,26 +2849,10 @@
},
{
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"id": "ddb84188-aafb-49b3-836d-79d9b13dfe35",
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{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"\n",
@@ -2978,27 +2885,10 @@
},
{
"cell_type": "code",
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"execution_count": null,
"id": "f922ad6a-e7ff-4ff9-923f-3e7aa8ea112b",
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{
"name": "stdout",
"output_type": "stream",
"text": [
"4078\n",
"4078\n"
]
}
],
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import time\n",
@@ -3057,17 +2947,9 @@
},
{
"cell_type": "code",
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"source": [
"import json\n",
@@ -3120,17 +3002,9 @@
},
{
"cell_type": "code",
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"execution_count": null,
"id": "8301201e-43fc-4d24-94a0-9c554ca39dfb",
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"source": [
"import json\n",
@@ -3176,17 +3050,9 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": null,
"id": "efff43f0-a5f8-4de8-9f79-9564bf4fbb63",
"metadata": {
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"source": [
"import json\n",
@@ -3226,6 +3092,368 @@
"wb.save(filename)"
]
},
{
"cell_type": "markdown",
"id": "0e3c4368-a2d7-43c7-805a-7262cf43060c",
"metadata": {},
"source": [
"## 部门、车间合并"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "e3eeb600-81a7-4220-bbfd-b0325f2ca06d",
"metadata": {
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"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4078\n"
]
}
],
"source": [
"import json\n",
"\n",
"filename = 'data/result_天津石化2024.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
"filename = 'data/天津石化人员2024.json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl)\n",
"\n",
"dict3 = {}\n",
"for k, v in dict1.items():\n",
" unit = v['unit']\n",
" sub_unit = dict2[k]['sub_unit']\n",
" v['sub_unit'] = sub_unit\n",
"filename = 'data/result_天津2024（部门）.json'\n",
"\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict1, fl, ensure_ascii=False) \n",
"print(len(dict1))"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "9554ebdf-6a19-4301-8c14-465d6ae4d870",
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"物资采购中心 综合计划科 12\n",
"公司机关 经营计划部 10\n",
"研究院 科技开发中心 10\n",
"化验计量部 安全设备科 11\n",
"原油储运部 生产运行科 11\n",
"电仪部 安全生产科 9\n",
"水务部 设备科 7\n",
"化工部 综合科(党群工作科、人力资源科) 20\n",
"党委党校(培训中心) 综合科 14\n",
"烯烃部 储运车间 8\n",
"电仪部 电仪作业二区 10\n",
"炼油部 设备科 7\n",
"炼油部 联合六车间 9\n",
"水务部 生产技术科 9\n",
"烯烃部 聚丙烯车间 9\n",
"信息档案管理中心 网络与通讯室 15\n",
"公司机关 财务中心 9\n",
"原油储运部 南港商储库 11\n",
"物资采购中心 供应链管理科(招标办公室) 20\n",
"电仪部 电仪作业三区 10\n",
"电仪部 仪表作业一区 10\n",
"水务部 水处理二车间 10\n",
"电仪部 党群工作科(综合科) 14\n",
"烯烃部 综合科(党群工作科、人力资源科) 20\n",
"信息档案管理中心 ERP支持室 15\n",
"公司机关 设备管理部 10\n",
"聚醚部 研发中心 8\n",
"行政事务中心 厂容绿化科 12\n",
"研究院 材料技术研究一室 12\n",
"研究院 理化研究室 9\n",
"公司机关 安全环保部 10\n",
"物资采购中心 储运配送车间 13\n",
"研究院 精细化工团队 10\n",
"热电部 新锅炉车间 9\n",
"电仪部 电气作业一区 10\n",
"研究院 材料技术研究二室 12\n",
"水务部 综合科 7\n",
"运输销售部 综合科(党群工作科) 16\n",
"炼油部 党群工作科(人力资源科) 16\n",
"电仪部 电气科 7\n",
"装备研究院 设备安保室 11\n",
"烯烃部 聚乙烯车间 9\n",
"化工部 安全环保科 9\n",
"党委党校(培训中心) 专业培训室 16\n",
"消防支队 党群(综合)科 12\n",
"聚醚部 党群工作科 9\n",
"炼油部 安全环保科 9\n",
"化工部 储运车间 8\n",
"化验计量部 烯烃化验站 11\n",
"原油储运部 天津商储库 11\n",
"研究院 化工技术研究二室 12\n",
"水务部 安全环保科 9\n",
"装备研究院 综合室(党群工作室) 16\n",
"南港烯烃部 ABS装置 11\n",
"热电部 燃料车间 8\n",
"行政事务中心 车队 9\n",
"行政事务中心 离退服务室 12\n",
"研究院 新能源技术研究室 12\n",
"炼油部 保卫组 7\n",
"公司机关 群众工作部 10\n",
"研究院 设备安保科 9\n",
"烯烃部 设备科 7\n",
"热电部 汽机车间 8\n",
"炼油部 联合九车间 9\n",
"行政事务中心 信访室 10\n",
"炼油部 生产科 7\n",
"炼油部 联合一车间 9\n",
"化工部 生产技术科 9\n",
"运输销售部 调运队 9\n",
"热电部 安全环保科 9\n",
"信息档案管理中心 档案室 12\n",
"公司机关 企业管理部 10\n",
"化验计量部 化工化验站 11\n",
"电仪部 控制系统运维室 11\n",
"化验计量部 综合科 9\n",
"化验计量部 环境监测和职业卫生检测站 18\n",
"装备研究院 生产经营中心 12\n",
"公司机关 工程部 8\n",
"行政事务中心 综合服务队 12\n",
"水务部 水处理一车间 10\n",
"烯烃部 安全环保科 9\n",
"化验计量部 党群工作科(人力资源科) 18\n",
"原油储运部 党群工作科(人事科) 16\n",
"运输销售部 销售运行中心 12\n",
"装备研究院 科技开发中心 12\n",
"电仪部 仪表科 7\n",
"原油储运部 实华商储库 11\n",
"化工部 环氧丙烷车间 10\n",
"公司机关 审计部 8\n",
"聚醚部 综合科 7\n",
"聚醚部 聚醚装置区 9\n",
"运输销售部 统销统配室 11\n",
"物资采购中心 设备采购室(国产化办公室) 20\n",
"公司机关 纪委 7\n",
"炼油部 联合三车间 9\n",
"化验计量部 炼油化验站 11\n",
"聚醚部 销售中心 8\n",
"研究院 党群工作科(综合科) 14\n",
"电仪部 电仪南港分部 10\n",
"化工部 芳烃车间 8\n",
"聚醚部 生产技术科 9\n",
"化工部 设备科 7\n",
"物资采购中心 材料采购室 12\n",
"物资采购中心 三剂采购室 12\n",
"信息档案管理中心 党群工作室(综合科) 19\n",
"炼油部 油品车间 8\n",
"党委党校(培训中心) 党建与管理培训室 19\n",
"运输销售部 机务队 9\n",
"化验计量部 计量站 9\n",
"公司机关 生产部 8\n",
"行政事务中心 安保科 10\n",
"聚醚部 设备科 7\n",
"炼油部 联合七车间 9\n",
"党委党校(培训中心) 技能培训室 16\n",
"信息档案管理中心 编辑室 12\n",
"研究院 设计开发研究室 11\n",
"炼油部 联合五车间 9\n",
"公司机关 新闻中心 9\n",
"物资采购中心 电仪采购室 12\n",
"党委党校(培训中心) 培训控制科 16\n",
"运输销售部 营销业务室 11\n",
"公司机关 HSE督查大队 12\n",
"聚醚部 安全环保科 9\n",
"炼油部 综合科 7\n",
"物资采购中心 综合科 10\n",
"信息档案管理中心 软件开发室 14\n",
"热电部 综合科(党群工作科、人力资源科) 20\n",
"炼油部 联合二车间 9\n",
"电仪部 电仪作业四区 10\n",
"化验计量部 生产技术科 11\n",
"原油储运部 曹妃甸库区 11\n",
"烯烃部 生产技术科 9\n",
"热电部 电气车间 8\n",
"运输销售部 铁路运行中心 12\n",
"物资采购中心 项目服务室 12\n",
"信息档案管理中心 信息化管理科 15\n",
"党委党校(培训中心) 党群工作科(人事科) 21\n",
"公司机关 办公室 8\n",
"南港烯烃部 党群工作室 11\n",
"原油储运部 设备工程科 11\n",
"炼油部 技术质量科 9\n",
"行政事务中心 党群工作科(综合科) 17\n",
"电仪部 电力调度中心 10\n",
"化工部 烷基化车间 9\n",
"炼油部 新联合四车间 10\n",
"热电部 生产技术科 9\n",
"原油储运部 综合科 9\n",
"原油储运部 安全环保科 11\n",
"热电部 设备科 7\n",
"信息档案管理中心 设备维护室 14\n",
"化验计量部 计量检定站 11\n",
"原油储运部 大港枢纽库 11\n",
"党委党校(培训中心) 社保工作室 16\n",
"研究院 科技开发科 9\n",
"物资采购中心 原料采购室 12\n",
"水务部 水净化车间 9\n",
"研究院 化工技术研究一室 12\n",
"信息档案管理中心 MES支持室 15\n",
"信息档案管理中心 运行管理科 14\n"
]
}
],
"source": [
"filename = 'data/result_天津2024(部门合并）.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"set1 = set()\n",
"for k,v in dict1.items():\n",
" set1.add(v['unit'])\n",
"for item in set1:\n",
" print(item,len(item))"
]
},
{
"cell_type": "markdown",
"id": "6d673f9e-e91b-40f6-bee6-c4bf59308302",
"metadata": {},
"source": [
"## 体测报告按部门、车间分类"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "0f945c49-ac5e-4587-8d8c-96667c327248",
"metadata": {
"execution": {
"iopub.execute_input": "2024-11-07T06:20:08.059278Z",
"iopub.status.busy": "2024-11-07T06:20:08.058524Z",
"iopub.status.idle": "2024-11-07T06:20:09.347745Z",
"shell.execute_reply": "2024-11-07T06:20:09.346893Z",
"shell.execute_reply.started": "2024-11-07T06:20:08.059245Z"
},
"tags": []
},
"outputs": [],
"source": [
"import os,sys,shutil\n",
"import json\n",
"import glob\n",
"from pathlib import Path\n",
"\n",
"fi_path = '/home/songyi/pdf-typescript-old2/天津石化2024'\n",
"new_path = 'file/天津石化2024'\n",
"old = []\n",
"dict2 = {}\n",
"\n",
"filename = 'data/天津石化人员2024.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
"for fn in fls:\n",
" fi_name =Path(fn).stem.split('-')[0]\n",
" code = int(fi_name)\n",
" unit_path = Path(new_path,dict1[str(code)]['unit'],dict1[str(code)]['sub_unit'])\n",
" unit_path.mkdir(parents = True, exist_ok = True)\n",
" n_name = Path(unit_path,Path(fn).stem+'.pdf')\n",
" if not os.path.exists(n_name):\n",
" shutil.copyfile(fn,n_name)"
]
},
{
"cell_type": "markdown",
"id": "5cab4519-5ffa-4ac0-8db7-5674e181fc14",
"metadata": {},
"source": [
"## 生成体测报告打印明细表"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "9dcbc866-2481-4cf6-a563-df4bb6596dfd",
"metadata": {
"execution": {
"iopub.execute_input": "2024-11-07T06:23:23.785642Z",
"iopub.status.busy": "2024-11-07T06:23:23.785175Z",
"iopub.status.idle": "2024-11-07T06:23:24.321254Z",
"shell.execute_reply": "2024-11-07T06:23:24.320296Z",
"shell.execute_reply.started": "2024-11-07T06:23:23.785599Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"source": [
"import os,sys,shutil\n",
"import json\n",
"import glob\n",
"from pathlib import Path\n",
"import openpyxl\n",
"\n",
"fi_path = '/home/songyi/pdf-typescript-old2/天津石化2024'\n",
"\n",
"filename = 'data/天津石化人员2024.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"fls = glob.glob(f'{fi_path}/*.pdf')\n",
"list1 = []\n",
"title = ['测试编号','姓名','性别','部门','车间']\n",
"for fn in fls:\n",
" list2 = []\n",
" fi_name =Path(fn).stem.split('-')[0] \n",
" code = int(fi_name)\n",
" sex = dict1[str(code)]['sex']\n",
" unit = dict1[str(code)]['unit']\n",
" sub_unit = dict1[str(code)]['sub_unit']\n",
" list2 = [fi_name,Path(fn).stem.split('-')[1],sex,unit,sub_unit]\n",
" \n",
" list1.append(list2)\n",
"\n",
"filename = 'data/天津石化体测报告明细表（2024年）.xlsx'\n",
"wb = openpyxl.Workbook()\n",
"sheet = wb.active\n",
"sheet.append(title)\n",
"for row in list1:\n",
" sheet.append(row)\n",
" \n",
"wb.save(filename) \n",
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "85a03b00-9624-4ae9-aa6d-386798d457df",
@@ -4243,7 +4471,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.10.12"
}
},
"nbformat": 4,