20230905
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@@ -1,5 +1,13 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "4626da6c-d228-4270-8d8d-c98784a106ad",
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"metadata": {},
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"source": [
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"# 第一次体测"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ba2deee7-9c63-4115-bcee-ad341175fc02",
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@@ -10,27 +18,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 52,
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"execution_count": null,
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"id": "dea5e486-6927-469f-aa57-e5efac4670be",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-31T05:19:09.972334Z",
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"iopub.status.busy": "2023-05-31T05:19:09.971473Z",
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"iopub.status.idle": "2023-05-31T05:19:10.054344Z",
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"shell.execute_reply": "2023-05-31T05:19:10.053621Z",
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"shell.execute_reply.started": "2023-05-31T05:19:09.972292Z"
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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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@@ -255,27 +248,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 53,
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"execution_count": null,
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"id": "c925d850-ff06-4be5-bf9f-31f4385c37c0",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-31T05:19:14.796522Z",
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"iopub.status.busy": "2023-05-31T05:19:14.795763Z",
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"iopub.status.idle": "2023-05-31T05:19:14.859923Z",
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"shell.execute_reply": "2023-05-31T05:19:14.858869Z",
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"shell.execute_reply.started": "2023-05-31T05:19:14.796492Z"
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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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"163\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 json\n",
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"import openpyxl\n",
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@@ -313,28 +291,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 54,
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"execution_count": null,
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"id": "a87384c6-dc46-4d09-b757-b42462ed818d",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-31T05:19:18.950211Z",
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"iopub.status.busy": "2023-05-31T05:19:18.949352Z",
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"iopub.status.idle": "2023-05-31T05:19:18.965945Z",
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"shell.execute_reply": "2023-05-31T05:19:18.964916Z",
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"shell.execute_reply.started": "2023-05-31T05:19:18.950168Z"
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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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"164\n",
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"['659821', '079384', '876923', '387406', '694158', '563974', '628540', '281407', '798056', '274185', '705316', '571698', '693240', '650329', '481397', '610492', '250746', '619873', '675018', '619204', '984351', '279548', '027154', '856432', '296138', '290486', '218396', '973605', '269043', '653487', '528397', '031947', '370415', '872591', '018592', '251794', '718203', '869254', '408517', '071948', '536729', '259430', '867310', '285413', '805216', '405192', '630721', '386219', '504216', '418752', '402398', '231947', '850743', '901378', '394175', '431092', '157489', '961378', '305921', '620417', '352906', '629380', '417086', '086149', '804693', '342580', '310827', '637102', '128635', '346780', '325076', '643917', '710548', '046732', '762390', '350712', '368419', '342701', '245107', '087136', '023185', '759846', '346758', '514976', '570482', '781935', '210987', '340615', '075891', '810596', '430689', '920785', '815347', '917562', '295817', '765238', '058479', '674159', '567894', '109842', '851943', '703918', '073489', '403958', '578492', '798046', '502876', '943180', '498306', '835760', '726305', '490867', '709413', '275683', '256934', '721830', '973841', '729685', '021349', '265413', '321597', '064187', '136794', '708352', '710928', '657129', '962105', '905436', '513749', '257361', '420691', '941567', '839574', '906358', '218095', '364152', '562149', '109823', '560942', '293561', '194053', '509246', '026951', '243561', '093154', '654083', '519048', '459136', '914362', '605834', '508693', '823906', '349725', '572390', '541236', '419570', '513467', '724063', '164823', '890712', '529840', '641958', '678590', '648951']\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 random\n",
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"import json\n",
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@@ -375,27 +337,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 55,
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"execution_count": null,
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"id": "10845b90-48b4-4418-9dac-dd4a6f0147c0",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-31T05:19:22.535432Z",
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"iopub.status.busy": "2023-05-31T05:19:22.534590Z",
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"iopub.status.idle": "2023-05-31T05:19:22.546728Z",
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"shell.execute_reply": "2023-05-31T05:19:22.545447Z",
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"shell.execute_reply.started": "2023-05-31T05:19:22.535392Z"
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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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"163\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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"filename = 'data/农业银行测试手机号码.json'\n",
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"with open(filename,'r') as fl:\n",
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@@ -421,41 +368,14 @@
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},
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{
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"cell_type": "code",
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"execution_count": 37,
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"execution_count": null,
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"id": "62733f52-62c1-43aa-964a-232eab8b5251",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-25T10:18:47.776482Z",
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"iopub.status.busy": "2023-05-25T10:18:47.776048Z",
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"iopub.status.idle": "2023-05-25T10:18:48.066702Z",
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"shell.execute_reply": "2023-05-25T10:18:48.065832Z",
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"shell.execute_reply.started": "2023-05-25T10:18:47.776444Z"
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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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"{\n",
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" \"SendStatusSet\": [\n",
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" {\n",
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" \"SerialNo\": \"2640:135690281916850099280618075\",\n",
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" \"PhoneNumber\": \"+8613793180751\",\n",
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" \"Fee\": 1,\n",
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" \"SessionContext\": \"\",\n",
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" \"Code\": \"Ok\",\n",
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" \"Message\": \"send success\",\n",
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" \"IsoCode\": \"CN\"\n",
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" }\n",
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" ],\n",
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" \"RequestId\": \"7601194b-56e4-45a8-9543-6fcc76ce16a6\"\n",
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"}\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 json\n",
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"from tencentcloud.common import credential\n",
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"from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n",
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"from tencentcloud.sms.v20210111 import sms_client, models\n",
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@@ -477,8 +397,8 @@
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" req = models.SendSmsRequest()\n",
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" req.SmsSdkAppId = \"1400140089\"\n",
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" req.SignName = \"坤铭教育\"\n",
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" req.TemplateId = \"1808914\" \n",
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" req.TemplateParamSet = [\"1234\"]\n",
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" req.TemplateId = \"1875765\" \n",
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" req.TemplateParamSet = [\"北京石油分公司体测者\",\"01740518\"]\n",
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" req.PhoneNumberSet = [\"+8613793180751\"]\n",
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" req.SessionContext = \"\"\n",
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" req.ExtendCode = \"\"\n",
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@@ -491,27 +411,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 41,
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"execution_count": null,
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"id": "e924a0a9-65a5-49c4-bdf2-b9152d278ad5",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-25T11:05:39.390622Z",
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"iopub.status.busy": "2023-05-25T11:05:39.389793Z",
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||||
"iopub.status.idle": "2023-05-25T11:05:39.396312Z",
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||||
"shell.execute_reply": "2023-05-25T11:05:39.395239Z",
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"shell.execute_reply.started": "2023-05-25T11:05:39.390580Z"
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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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"send success\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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"dict1 = json.loads(resp.to_json_string(indent=2))\n",
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"print(dict1['SendStatusSet'][0][\"Message\"])"
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@@ -527,30 +432,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 57,
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"execution_count": null,
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"id": "910d1881-d090-48dc-ac87-685ccaaf9553",
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"metadata": {
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"execution": {
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||||
"iopub.execute_input": "2023-06-07T02:57:09.482569Z",
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||||
"iopub.status.busy": "2023-06-07T02:57:09.481698Z",
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||||
"iopub.status.idle": "2023-06-07T02:57:10.568979Z",
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"shell.execute_reply": "2023-06-07T02:57:10.567913Z",
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||||
"shell.execute_reply.started": "2023-06-07T02:57:09.482528Z"
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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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"亓宇航 send success\n",
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"李伟丽 send success\n",
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"高松 send success\n",
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"张树伟 send success\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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"\n",
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"from tencentcloud.common import credential\n",
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@@ -588,7 +475,7 @@
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" req.SessionContext = \"\"\n",
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" req.ExtendCode = \"\"\n",
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" req.SenderId = \"\"\n",
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" resp = client.SendSms(req)\n",
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" #resp = client.SendSms(req)\n",
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" dict2 = json.loads(resp.to_json_string(indent=2))\n",
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"\n",
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" print(v['name'],dict2['SendStatusSet'][0][\"Message\"])\n",
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@@ -596,10 +483,308 @@
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" print(v['name'],err)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "59d38404-e097-4f08-a3fd-565e351f09bb",
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"metadata": {},
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"source": [
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"# 第二次体测"
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]
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},
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{
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"cell_type": "markdown",
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"id": "deeb7606-5752-4337-9117-4ba9edc762e9",
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"metadata": {},
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"source": [
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"## 人员信息导入"
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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": null,
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"id": "759cad53-8745-4862-8874-cf35f13ab0b3",
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"id": "d803a2b2-4a61-42ba-84a3-e9846e3e9f5c",
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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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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/北京分行员工体质检测情况表.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,1).value is not None:\n",
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" code = int(sheet.cell(n, 1).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 3).value\n",
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" if sheet.cell(n, 4).value ==1:\n",
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" sex = '男'\n",
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" else:\n",
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" sex = '女'\n",
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" dict1['sex'] = sex\n",
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" birth = str(sheet.cell(n, 5).value).split()[0]\n",
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" dict1['birth'] = birth\n",
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" dict1['unit'] = sheet.cell(n, 2).value\n",
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" if sheet.cell(n,6).value is not None:\n",
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" dict1['phone'] = sheet.cell(n, 6).value \n",
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" person[code] = dict1\n",
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"\n",
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"filename = 'data/北京农行人员名单2308.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ff97823f-fd67-45ae-bd78-f209317be6b9",
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"metadata": {},
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"source": [
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"## 成绩导入"
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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": null,
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"id": "4adf86dd-addf-490a-9954-5dcac4693868",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import time\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/北京农行人员名单2308.json'\n",
|
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"filename = 'data/places_result_20230825.csv'\n",
|
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
|
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"for result in list1:\n",
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||||
" user = str(result[2])\n",
|
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" if user in dict1.keys(): \n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex'] \n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
|
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
|
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"print(len(re_ta))\n",
|
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"filename = 'data/result_北京农行0825.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
|
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"print(len(re_ta))"
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]
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},
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{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "bb01b9a9-418d-4a1b-8ea9-1215af0b8285",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import time\n",
|
||||
"import csv\n",
|
||||
"\n",
|
||||
"filename = '../item.json'\n",
|
||||
"item = {}\n",
|
||||
"unit = {}\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl) \n",
|
||||
"for k,v in dict1.items():\n",
|
||||
" item[k] = v\n",
|
||||
"re_ta = {}\n",
|
||||
"dict1 = {}\n",
|
||||
"list1 = []\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/places_result_20230825.csv'\n",
|
||||
"with open(filename,'r',newline='') as csv_file:\n",
|
||||
" fl = csv.reader(csv_file,delimiter=',')\n",
|
||||
" header = next(fl) \n",
|
||||
" for line in fl:\n",
|
||||
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
|
||||
" list1.append(line)\n",
|
||||
"#print(list1)\n",
|
||||
"for result in list1:\n",
|
||||
" user = str(result[2])\n",
|
||||
" if user in dict1.keys(): \n",
|
||||
" m_item = str(result[3]) \n",
|
||||
" re_ta.setdefault(user,{}) \n",
|
||||
" re_ta[user]['name'] = dict1[user]['name']\n",
|
||||
" re_ta[user]['sex'] = dict1[user]['sex'] \n",
|
||||
" re_ta[user]['unit'] = dict1[user]['unit']\n",
|
||||
" item_name = item[m_item]['name']\n",
|
||||
" re_ta[user].setdefault(item_name,{}) \n",
|
||||
" score = int(result[4])/item[m_item]['divisor'] \n",
|
||||
" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
|
||||
"print(len(re_ta))\n",
|
||||
"filename = 'data/result_北京农行0825.json'\n",
|
||||
"\n",
|
||||
"with open(filename,'w') as fl:\n",
|
||||
" json.dump(re_ta, fl, ensure_ascii=False) \n",
|
||||
"print(len(re_ta))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "4d2a0d63-4124-4063-96a7-a02478b9eabe",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 查看项目不足人员"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "b26857af-5fa3-42d0-bf79-bc33d9f5e4a8",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import time\n",
|
||||
"import csv\n",
|
||||
"\n",
|
||||
"filename = 'data/result_北京农行0825.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl) \n",
|
||||
"i= 0\n",
|
||||
"for k, v in dict1.items():\n",
|
||||
" if len(v.keys())< 8:\n",
|
||||
" print(k,v['name'])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "1966307c-4161-4c5b-b19a-b8a143972223",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 导出测试人员信息"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "288e39fb-b7e3-4566-ac13-ba98d7e72edb",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import openpyxl\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"filename = 'data/result_北京农行0825.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"list1 =[]\n",
|
||||
"for k, v in dict1.items():\n",
|
||||
" list2 = []\n",
|
||||
" list2 = [k,v['name'],v['sex'],v['unit']]\n",
|
||||
" list1.append(list2)\n",
|
||||
"filename = 'data/北京农行测试人员202308.xlsx'\n",
|
||||
"wb = openpyxl.Workbook()\n",
|
||||
"sheet = wb.active\n",
|
||||
"\n",
|
||||
"for row in list1:\n",
|
||||
" sheet.append(row)\n",
|
||||
" \n",
|
||||
"wb.save(filename)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "a42cb587-8673-4655-8943-3cbd63f22b73",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 检查性别"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "6352b95c-0e19-4943-9e99-218138213060",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"filename = 'data/result_北京农行0825.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"for k, v in dict1.items():\n",
|
||||
" if v['sex'] == '男' and '一分钟仰卧起坐' in v.keys():\n",
|
||||
" print(k,'应为女性！')\n",
|
||||
" if v['sex'] == '女' and '俯卧撑' in v.keys():\n",
|
||||
" print(k,'应为男性！')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "fddd68cd-b20c-4cf9-b503-5d59f52e3c1b",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 手工数据生成SQL"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "372294de-5370-41c0-9883-b18de9d8ef7e",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import openpyxl\n",
|
||||
"import json\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"wb = openpyxl.load_workbook('data/北京农行测试人员202308.xlsx')\n",
|
||||
"sheet = wb.active\n",
|
||||
"# sheets = wb.sheetnames\n",
|
||||
"dict1 = {}\n",
|
||||
"\n",
|
||||
"data1 =list(sheet.values)\n",
|
||||
"del data1[0]\n",
|
||||
"list1 = []\n",
|
||||
"for item in data1:\n",
|
||||
" code = int(item[0])\n",
|
||||
" list1.append((309118,code,5,item[4],'2023-08-23','2023-08-23 22:00:00'))\n",
|
||||
"print(list1)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "93d4d513-17ee-4f20-bd86-be52398b5852",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
@@ -621,7 +806,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.10.6"
|
||||
"version": "3.10.12"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
Reference in new issue
Block a user