250251215
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c19ca272d7
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6 files changed
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-620
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+307
-175
@@ -90,26 +90,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"execution_count": null,
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"id": "cac3736a-56da-403b-9e62-5caaf989a6d4",
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||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-12-03T13:46:10.295376Z",
|
||||
"iopub.status.busy": "2025-12-03T13:46:10.294744Z",
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||||
"iopub.status.idle": "2025-12-03T13:46:13.043043Z",
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"shell.execute_reply": "2025-12-03T13:46:13.042530Z",
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"shell.execute_reply.started": "2025-12-03T13:46:10.295324Z"
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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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"190 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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@@ -211,26 +195,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"execution_count": null,
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"id": "925f7152-b365-4df8-8d98-73569aef68f8",
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"metadata": {
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"execution": {
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||||
"iopub.execute_input": "2025-12-03T14:07:05.330354Z",
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"iopub.status.busy": "2025-12-03T14:07:05.329571Z",
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"iopub.status.idle": "2025-12-03T14:07:05.346870Z",
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"shell.execute_reply": "2025-12-03T14:07:05.345950Z",
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"shell.execute_reply.started": "2025-12-03T14:07:05.330293Z"
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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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"95\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 json\n",
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"import datetime\n",
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@@ -261,26 +229,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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||||
"execution_count": null,
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||||
"id": "0905ad6a-f7e4-43ed-ae29-c4850deb946b",
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"metadata": {
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||||
"execution": {
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||||
"iopub.execute_input": "2025-12-03T13:55:35.038083Z",
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||||
"iopub.status.busy": "2025-12-03T13:55:35.036944Z",
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||||
"iopub.status.idle": "2025-12-03T13:55:35.052613Z",
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||||
"shell.execute_reply": "2025-12-03T13:55:35.051549Z",
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"shell.execute_reply.started": "2025-12-03T13:55:35.038026Z"
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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 json\n",
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"import time\n",
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@@ -319,26 +271,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"execution_count": null,
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"id": "0e71f6b8-e17e-49f8-a577-7a2eb6f5e994",
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"metadata": {
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"execution": {
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||||
"iopub.execute_input": "2025-12-03T14:07:15.401160Z",
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"iopub.status.busy": "2025-12-03T14:07:15.400541Z",
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"iopub.status.idle": "2025-12-03T14:07:15.419441Z",
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"shell.execute_reply": "2025-12-03T14:07:15.418453Z",
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"shell.execute_reply.started": "2025-12-03T14:07:15.401101Z"
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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 json\n",
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"import time\n",
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@@ -492,6 +428,49 @@
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "44d5a1bf-b208-4a50-bea3-1019e737b7ab",
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"metadata": {},
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"source": [
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"## 统计体测日期"
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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": 25,
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"id": "f4fc0e48-5c8a-4ad9-817e-dd8dd1bf7b55",
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"metadata": {
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"execution": {
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||||
"iopub.execute_input": "2025-12-15T00:10:27.023346Z",
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"iopub.status.busy": "2025-12-15T00:10:27.023028Z",
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||||
"iopub.status.idle": "2025-12-15T00:10:27.028151Z",
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"shell.execute_reply": "2025-12-15T00:10:27.027670Z",
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"shell.execute_reply.started": "2025-12-15T00:10:27.023320Z"
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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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"2025-07-03 2025-08-18\n"
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]
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}
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],
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"source": [
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"import json\n",
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"\n",
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"filename = 'data/result_新疆油田采油工艺研究院1-1.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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"list1 = []\n",
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"for k,v in dict1.items():\n",
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" if 'rq' in v.keys():\n",
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" list1.append(v['rq'])\n",
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"print(min(list1),max(list1))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "699c6a40-a6ae-4300-9646-708cb85aa5e8",
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@@ -629,7 +608,7 @@
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" phone[v['phone']] = k\n",
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"\n",
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"list1 = []\n",
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"filename = 'data/survey_records_20250813.csv'\n",
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"filename = 'data/survey_records_20251214.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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@@ -639,8 +618,7 @@
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"\n",
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"\n",
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"nn = 0\n",
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"for item in list1:\n",
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" \n",
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"for item in list1: \n",
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" if int(item[3]) in phone.keys():\n",
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" code = phone[int(item[3])]\n",
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" tcm = []\n",
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@@ -686,6 +664,93 @@
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"print(nn)"
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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": "b9a92b29-7112-459b-8c5a-4edd7e72457d",
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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 csv\n",
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"import openpyxl\n",
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"import time\n",
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"from datetime import date\n",
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"\n",
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"dict1 = {}\n",
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"\n",
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"filename = 'data/result_新疆油田采油工艺研究院1.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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"filename = 'data/新疆油田采油工艺研究院-1.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict3 = json.load(fl)\n",
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"\n",
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"phone = {}\n",
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"for k,v in dict3.items():\n",
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" if 'phone' in v.keys():\n",
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" phone[v['phone']] = k\n",
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"print(phone)\n",
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"list1 = []\n",
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"filename = 'data/survey_records_20250813.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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" list1.append(line)\n",
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"\n",
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"\n",
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"\n",
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"nn = 0\n",
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"for item in list1:\n",
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" content = json.loads(item[4])\n",
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" print(content)\n",
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" if 'phone' in content.keys() and int(content['phone']) in phone.keys():\n",
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" code = phone[int(content['phone'])] \n",
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" print(code)\n",
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" tcm = []\n",
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" spine = []\n",
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" for i in range(0,60):\n",
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" tcm.append(0)\n",
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" for i in range(0,26):\n",
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" spine.append(0)\n",
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" \n",
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" \n",
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" if code not in dict1.keys():\n",
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" dict1[code] = dict3[code]\n",
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" rq = date.fromisoformat(item[5].replace('/','-').split(' ')[0])\n",
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" dict1[code]['rq'] = item[5].replace('/','-').split(' ')[0]\n",
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" for k, v in content.items():\n",
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" \n",
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" if 'tcm' in k:\n",
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" i = int(k[3:])\n",
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" tcm[i-1] = int(v)\n",
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" if 'spine' in k:\n",
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" i = int(k[5:])\n",
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" spine[i-1] = int(v)\n",
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" \n",
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" if 'tcm' in item[4]:\n",
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" \n",
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" dict1[code]['tcm'] = tcm\n",
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" if 'spine' in item[4]:\n",
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" for ii in range(25,23,-1):\n",
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" spine[ii] = spine[ii-1]\n",
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" spine[22] = 0 \n",
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" dict1[code]['spine'] = spine\n",
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" birth = date.fromisoformat(dict3[code]['birth'].replace('/','-'))\n",
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" rq = date.fromisoformat(item[5].replace('/','-').split(' ')[0])\n",
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" days = (rq-birth).days \n",
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" dict1[code]['age'] = int(days/365)\n",
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" dict1[code]['month'] = int(days/365*12)\n",
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" #print(phone[item[2]])\n",
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" nn+=1\n",
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"filename = 'data/result_新疆油田采油工艺研究院1-1.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl, ensure_ascii=False)\n",
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"print(nn)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6eea20f8-b457-455e-8409-5c8cdaa1efb6",
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@@ -696,26 +761,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 32,
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"execution_count": null,
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"id": "83872322-129c-410d-a9a3-ef6f4fe8dcde",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-12-03T14:07:28.969613Z",
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"iopub.status.busy": "2025-12-03T14:07:28.969043Z",
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||||
"iopub.status.idle": "2025-12-03T14:07:28.992695Z",
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"shell.execute_reply": "2025-12-03T14:07:28.991843Z",
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"shell.execute_reply.started": "2025-12-03T14:07:28.969559Z"
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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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"95\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 json\n",
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"import csv\n",
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@@ -855,26 +904,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"execution_count": null,
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"id": "694ad38e-755e-4885-94a9-c157ddc96564",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-24T11:08:24.326077Z",
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"iopub.status.busy": "2025-11-24T11:08:24.325551Z",
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"iopub.status.idle": "2025-11-24T11:08:55.094267Z",
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"shell.execute_reply": "2025-11-24T11:08:55.093154Z",
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"shell.execute_reply.started": "2025-11-24T11:08:24.326028Z"
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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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"53\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 requests\n",
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"import json\n",
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@@ -939,26 +972,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"execution_count": null,
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"id": "28790176-7666-4b2d-83a5-9207cb8ad757",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-12-03T14:08:59.269168Z",
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"iopub.status.busy": "2025-12-03T14:08:59.268598Z",
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"iopub.status.idle": "2025-12-03T14:09:06.148725Z",
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"shell.execute_reply": "2025-12-03T14:09:06.148173Z",
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"shell.execute_reply.started": "2025-12-03T14:08:59.269114Z"
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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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"14\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 requests\n",
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"import json\n",
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@@ -1098,26 +1115,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"execution_count": null,
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"id": "73d28b6a-91be-47bb-bf76-1b8c26faafb5",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-11T04:31:28.041103Z",
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"iopub.status.busy": "2025-11-11T04:31:28.040413Z",
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"iopub.status.idle": "2025-11-11T04:31:28.055394Z",
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"shell.execute_reply": "2025-11-11T04:31:28.054740Z",
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"shell.execute_reply.started": "2025-11-11T04:31:28.041040Z"
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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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"27\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 json\n",
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"import csv\n",
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@@ -1186,26 +1187,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"execution_count": null,
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"id": "cdbeb2f8-2784-4688-806a-6506799941cb",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-11T04:31:58.919201Z",
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"iopub.status.busy": "2025-11-11T04:31:58.918605Z",
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"iopub.status.idle": "2025-11-11T04:32:06.150780Z",
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"shell.execute_reply": "2025-11-11T04:32:06.149803Z",
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"shell.execute_reply.started": "2025-11-11T04:31:58.919144Z"
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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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"27\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 requests\n",
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"import json\n",
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@@ -1268,10 +1253,157 @@
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"print(i)"
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]
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},
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{
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"cell_type": "markdown",
|
||||
"id": "03a98563-9dc9-4faf-97c0-d504f00f2dc3",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-12-14T08:18:47.657261Z",
|
||||
"iopub.status.busy": "2025-12-14T08:18:47.656588Z",
|
||||
"iopub.status.idle": "2025-12-14T08:18:47.662530Z",
|
||||
"shell.execute_reply": "2025-12-14T08:18:47.661420Z",
|
||||
"shell.execute_reply.started": "2025-12-14T08:18:47.657196Z"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## 生成体质检测报告"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "8564de3a-1511-4a79-9ec3-32aea03595c7",
|
||||
"id": "7791e71a-6eb0-4943-9aa4-9a2a0ebe6c43",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import requests\n",
|
||||
"import json\n",
|
||||
"import openpyxl\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"headers = {\n",
|
||||
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
|
||||
" }\n",
|
||||
"filename = 'data/result_新疆油田采油工艺研究院-1.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"list1 = []\n",
|
||||
"file_path ='./新疆油田第一批(脊柱)/'\n",
|
||||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
||||
"i=0\n",
|
||||
"list2 = []\n",
|
||||
"for k, v in dict1.items():\n",
|
||||
" list1 = []\n",
|
||||
" mydata = {}\n",
|
||||
" \n",
|
||||
" id = str(k).rjust(4,\"0\")\n",
|
||||
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
|
||||
" mydata['title'] = '新疆油田采油工艺研究院'\n",
|
||||
" mydata['subtitle'] = v['unit']\n",
|
||||
" mydata['id'] = id\n",
|
||||
" mydata['name'] = v['name']\n",
|
||||
" if v['sex'] == '男':\n",
|
||||
" mydata['gender'] = 'male'\n",
|
||||
" else:\n",
|
||||
" mydata['gender'] = 'female'\n",
|
||||
" \n",
|
||||
" mydata['month'] = 60\n",
|
||||
" mydata['fits'] = {}\n",
|
||||
" #survey_list = ['tcm','psy57','spine']\n",
|
||||
" survey_list = ['spine']\n",
|
||||
" for item in survey_list:\n",
|
||||
" if item in v.keys():\n",
|
||||
" mydata.setdefault('surveys',{})\n",
|
||||
" mydata['surveys'][item] = v[item]\n",
|
||||
" \n",
|
||||
" \n",
|
||||
" mydata['fits'] = {}\n",
|
||||
" \n",
|
||||
" if len(mydata['surveys']) >0:\n",
|
||||
" #if len(mydata['fits']) >2 : \n",
|
||||
" list1.append(mydata)\n",
|
||||
" list2.append([k,v['name']])\n",
|
||||
" i+=1\n",
|
||||
" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
|
||||
" #print(id,v['name'],x.text)\n",
|
||||
" #print(mydata)\n",
|
||||
" #x.close()\n",
|
||||
"print(i)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "a24a10c2-bc1c-4675-b49d-b6e208190c61",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import requests\n",
|
||||
"import json\n",
|
||||
"import openpyxl\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"headers = {\n",
|
||||
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
|
||||
" }\n",
|
||||
"filename = 'data/result_新疆油田采油工艺研究院-1.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"list1 = []\n",
|
||||
"file_path ='./新疆油田第一批(体质检测)/'\n",
|
||||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
||||
"i=0\n",
|
||||
"list2 = []\n",
|
||||
"for k, v in dict1.items():\n",
|
||||
" list1 = []\n",
|
||||
" mydata = {}\n",
|
||||
" \n",
|
||||
" #id = str(k).rjust(8,\"0\")\n",
|
||||
" id = str(k).rjust(4,\"0\")\n",
|
||||
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
|
||||
" mydata['title'] = '新疆油田采油工艺研究院'\n",
|
||||
" mydata['subtitle'] = v['unit']\n",
|
||||
" mydata['id'] = id\n",
|
||||
" mydata['name'] = v['name']\n",
|
||||
" if v['sex'] == '男':\n",
|
||||
" mydata['gender'] = 'male'\n",
|
||||
" else:\n",
|
||||
" mydata['gender'] = 'female'\n",
|
||||
" \n",
|
||||
" mydata['month'] = v['month']\n",
|
||||
" mydata['fits'] = {}\n",
|
||||
" #survey_list = ['tcm','psy','spine']\n",
|
||||
" #for item in survey_list:\n",
|
||||
" # if item in v.keys():\n",
|
||||
" # mydata.setdefault('surveys',{})\n",
|
||||
" # mydata['surveys'][item] = v[item]\n",
|
||||
" \n",
|
||||
" \n",
|
||||
" #mydata['fits'] = {}\n",
|
||||
" for item in list_item:\n",
|
||||
" if item in v.keys():\n",
|
||||
" mydata.setdefault('fits',{})\n",
|
||||
" if item in ['lung','pushup','step','situp']:\n",
|
||||
" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
|
||||
" else:\n",
|
||||
" mark = v[item]['成绩'].split()[0]\n",
|
||||
" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
|
||||
" #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
|
||||
" if len(mydata['fits']) >2 : \n",
|
||||
" list1.append(mydata)\n",
|
||||
" list2.append([k,v['name']])\n",
|
||||
" i+=1\n",
|
||||
" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
|
||||
" #print(id,v['name'],x.text)\n",
|
||||
" #print(mydata)\n",
|
||||
" #x.close()\n",
|
||||
"print(i)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "e50769a2-cf7b-4019-a5b9-f9d83e0bc374",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
|
||||
Reference in new issue
Block a user