20020427
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@@ -125,7 +125,10 @@
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{
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"cell_type": "markdown",
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"id": "a6147f12-5dd6-46a1-9b66-0d02d2d59197",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
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"### 北海炼化信息导入"
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]
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@@ -173,7 +176,10 @@
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{
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"cell_type": "markdown",
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"id": "15024574-745e-400c-8aac-6f1b6f635362",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
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"### 济南炼化信息导入"
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]
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@@ -221,7 +227,10 @@
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{
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"cell_type": "markdown",
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"id": "80c42a26-cdc2-4078-93e7-6b8557f41ba2",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
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"### 中石化石油工程设计信息导入"
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]
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@@ -269,33 +278,20 @@
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{
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"cell_type": "markdown",
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"id": "c0ec85f6-e897-4f94-af46-1007d58ad1e3",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
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"### 沧州炼化信息导入"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"id": "a083426f-9946-47ec-8b2a-ea0a7f287def",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-03-02T01:42:37.728967Z",
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"iopub.status.busy": "2022-03-02T01:42:37.727574Z",
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"iopub.status.idle": "2022-03-02T01:42:43.639433Z",
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"shell.execute_reply": "2022-03-02T01:42:43.635863Z",
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"shell.execute_reply.started": "2022-03-02T01:42:37.728712Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok!\n"
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]
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}
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],
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"metadata": {},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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@@ -340,27 +336,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"id": "a89e8c88-2b22-4efd-a82e-e7f7bd0d28bd",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-04-24T10:38:29.567463Z",
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"iopub.status.busy": "2022-04-24T10:38:29.566178Z",
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"iopub.status.idle": "2022-04-24T10:38:31.198353Z",
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"shell.execute_reply": "2022-04-24T10:38:31.195410Z",
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"shell.execute_reply.started": "2022-04-24T10:38:29.567313Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok!\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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@@ -395,6 +376,70 @@
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" print('该单位已存在!')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "d7665556-0455-4688-9cf0-43737e40c6f3",
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"metadata": {},
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"source": [
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"### 岳阳兴长石化信息导入"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "bae91469-c894-468a-9bdd-b1aae367ea39",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-04-27T07:46:25.321260Z",
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"iopub.status.busy": "2022-04-27T07:46:25.319843Z",
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"iopub.status.idle": "2022-04-27T07:46:30.328749Z",
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"shell.execute_reply": "2022-04-27T07:46:30.325499Z",
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"shell.execute_reply.started": "2022-04-27T07:46:25.320997Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok!\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"import pymongo\n",
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"\n",
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"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
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"mydb = myclient[\"tice\"]\n",
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"mycol = mydb[\"unit\"]\n",
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"\n",
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"name = '岳阳兴长石化股份有限公司'\n",
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"short_name = '兴长石化'\n",
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"myquery = {\"name\": name}\n",
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"if mycol.find_one(myquery) is None:\n",
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" wb = openpyxl.load_workbook('data/岳阳兴长.xlsx')\n",
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" sheet = wb.active\n",
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" # sheets = wb.sheetnames\n",
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" depart = []\n",
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" dict1 = {}\n",
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" new_code = []\n",
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" for n in range(2, sheet.max_row+1):\n",
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" m_depart = sheet.cell(n,5).value\n",
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" if m_depart not in depart:\n",
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" depart.append(sheet.cell(n,5).value)\n",
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" # print(sheet.cell(n,5).value)\n",
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"\n",
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" dict1['name'] = '岳阳兴长石化股份有限公司'\n",
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" dict1['short_name'] = '兴长石化'\n",
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" dict1['depart'] = depart\n",
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" mycol.insert_one(dict1)\n",
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" print('ok!')\n",
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"else:\n",
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" print('该单位已存在!')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "bf42e8af-a506-4e60-a661-b4281e3fef54",
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