20230915

体测单位/体测数据管理.ipynb

@@ -1,5 +1,54 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e6dcc663-e0ed-4ea3-b442-11f229f4af94",
+   "metadata": {},
+   "source": [
+    "## 新增体测单位"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "360f0a97-d73d-43f3-9f7a-0f9582103c82",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-09-15T03:53:47.937290Z",
+     "iopub.status.busy": "2023-09-15T03:53:47.936825Z",
+     "iopub.status.idle": "2023-09-15T03:53:47.950180Z",
+     "shell.execute_reply": "2023-09-15T03:53:47.949521Z",
+     "shell.execute_reply.started": "2023-09-15T03:53:47.937254Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pymongo\n",
+    "\n",
+    "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
+    "mydb = myclient[\"baogao\"]\n",
+    "mycol = mydb[\"place\"]\n",
+    "\n",
+    "id = 469849\n",
+    "name =  \"长炼医院\"\n",
+    "myquery = { \"id\": id }\n",
+    "num = mycol.count_documents(myquery)\n",
+    "if num>0:\n",
+    "    print(num)\n",
+    "else:\n",
+    "    mydict = { \"id\":id,\"name\": name,  }\n",
+    "    x = mycol.insert_one(mydict) "
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "dcfbd41f-ca70-4f15-9153-60e6aaac27e8",

体测单位/北京农行.ipynb

@@ -827,13 +827,38 @@
     "        "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "39cd284f-99fe-4ba0-928c-9da01042e394",
+   "metadata": {},
+   "source": [
+    "## 合并人员信息"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8c89b12a-0ab5-4792-94b6-456e352a00ce",
+   "id": "7ef51041-ad78-4c6a-af83-ed3e0473b199",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "import json\n",
+    "\n",
+    "filename = 'data/北京农行人员名单2308.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "\n",
+    "filename = 'data/北京农行人员名单.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict2 = json.load(fl) \n",
+    "for k, v in dict2.items():\n",
+    "    dict1[k] = v\n",
+    "filename = 'data/北京农行人员名单all.json'\n",
+    "\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(dict1, fl, ensure_ascii=False) \n",
+    "print(len(re_ta))"
+   ]
   }
  ],
  "metadata": {

体测单位/长炼医院.ipynb

@@ -863,20 +863,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "c828b665-d178-42e4-a885-505045169102",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import openpyxl\n",
     "import json\n",
@@ -918,21 +910,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "3f1b2284-c39e-4dc2-bc0c-983fb8e3417f",
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "508\n",
-      "508\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "import time\n",
@@ -990,7 +973,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "9d5d379c-5b53-4716-b4ab-fa794c912853",
    "metadata": {
     "tags": []