20250723
This commit is contained in:
512song committed
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321337fdda
commit
f753563cc6
3 files changed
+143
-165
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+83
-108
@@ -10,27 +10,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 75,
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"execution_count": null,
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-07-03T14:10:10.030695Z",
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"iopub.status.busy": "2025-07-03T14:10:10.030380Z",
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"iopub.status.idle": "2025-07-03T14:10:10.104203Z",
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"shell.execute_reply": "2025-07-03T14:10:10.103560Z",
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"shell.execute_reply.started": "2025-07-03T14:10:10.030662Z"
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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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"92 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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@@ -105,27 +90,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 76,
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"execution_count": null,
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"id": "970e171e-1360-448f-a28c-520ccb8f314a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-07-03T14:10:45.274585Z",
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"iopub.status.busy": "2025-07-03T14:10:45.273833Z",
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"iopub.status.idle": "2025-07-03T14:10:45.293613Z",
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"shell.execute_reply": "2025-07-03T14:10:45.292999Z",
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"shell.execute_reply.started": "2025-07-03T14:10:45.274514Z"
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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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"86\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 datetime\n",
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@@ -156,26 +126,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 77,
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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": "2025-07-03T14:10:49.291562Z",
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"iopub.status.busy": "2025-07-03T14:10:49.290910Z",
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"iopub.status.idle": "2025-07-03T14:10:49.313086Z",
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"shell.execute_reply": "2025-07-03T14:10:49.312338Z",
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"shell.execute_reply.started": "2025-07-03T14:10:49.291501Z"
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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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@@ -287,16 +241,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 78,
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"execution_count": null,
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"id": "def3f47a-24ef-4815-b63b-2a16b79b4c15",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-07-03T14:11:05.924023Z",
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"iopub.status.busy": "2025-07-03T14:11:05.923517Z",
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"iopub.status.idle": "2025-07-03T14:11:05.951213Z",
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"shell.execute_reply": "2025-07-03T14:11:05.950561Z",
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"shell.execute_reply.started": "2025-07-03T14:11:05.923975Z"
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},
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"tags": []
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},
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"outputs": [],
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@@ -317,7 +264,7 @@
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"for k,v in dict1.items():\n",
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" phone1.add(v['phone'])\n",
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"list1 = []\n",
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"filename = 'data/survey_records_20250703.csv'\n",
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"filename = 'data/survey_records_20250711.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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@@ -349,27 +296,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 79,
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"execution_count": null,
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"id": "9cb0172e-5f6c-4b47-8431-83dc5cc4601c",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-07-03T14:11:09.342124Z",
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"iopub.status.busy": "2025-07-03T14:11:09.341492Z",
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"iopub.status.idle": "2025-07-03T14:11:09.352176Z",
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"shell.execute_reply": "2025-07-03T14:11:09.350856Z",
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"shell.execute_reply.started": "2025-07-03T14:11:09.342065Z"
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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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"13718042132\n",
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"13705162311\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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@@ -387,7 +317,7 @@
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"for k,v in dict1.items():\n",
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" phone1.add(v['phone'])\n",
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"list1 = []\n",
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"filename = 'data/survey_records_20250701.csv'\n",
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"filename = 'data/survey_records_20250711.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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@@ -410,17 +340,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 80,
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"execution_count": null,
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"id": "9d9dd574-9fbf-4d0a-96fd-9b55d98021d2",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-07-03T14:11:25.002448Z",
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"iopub.status.busy": "2025-07-03T14:11:25.001635Z",
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"iopub.status.idle": "2025-07-03T14:11:25.029582Z",
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"shell.execute_reply": "2025-07-03T14:11:25.029137Z",
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"shell.execute_reply.started": "2025-07-03T14:11:25.002370Z"
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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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@@ -444,7 +366,7 @@
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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_20250703.csv'\n",
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"filename = 'data/survey_records_20250711.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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@@ -504,17 +426,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 81,
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"execution_count": null,
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"id": "4a0678c6-0c64-4314-bb03-24b10a3d695a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-07-03T14:11:29.937365Z",
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"iopub.status.busy": "2025-07-03T14:11:29.936849Z",
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"iopub.status.idle": "2025-07-03T14:11:29.966917Z",
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"shell.execute_reply": "2025-07-03T14:11:29.966365Z",
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"shell.execute_reply.started": "2025-07-03T14:11:29.937316Z"
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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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@@ -545,6 +459,67 @@
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" json.dump(dict1, fl, ensure_ascii=False)\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "caf77c95-3090-4fa1-bcec-c9e8a38d4ca9",
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"metadata": {},
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"source": [
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"## 体检报告汇总"
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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": 17,
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"id": "b815a478-d178-4b87-9080-a779d397d945",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-07-23T11:12:10.951052Z",
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"iopub.status.busy": "2025-07-23T11:12:10.950295Z",
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"iopub.status.idle": "2025-07-23T11:12:11.030914Z",
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"shell.execute_reply": "2025-07-23T11:12:11.030243Z",
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"shell.execute_reply.started": "2025-07-23T11:12:10.950983Z"
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}
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},
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"outputs": [
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{
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"ename": "FileNotFoundError",
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"evalue": "[Errno 2] No such file or directory: 'file/南化体重/new/1789748-姜吉元.pdf'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[17], line 20\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;241m==\u001b[39m v[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m'\u001b[39m]:\n\u001b[1;32m 19\u001b[0m n_name \u001b[38;5;241m=\u001b[39m Path(new_path,\u001b[38;5;28mstr\u001b[39m(k)\u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m-\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m+\u001b[39mname\u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.pdf\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m---> 20\u001b[0m \u001b[43mshutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcopyfile\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfl\u001b[49m\u001b[43m,\u001b[49m\u001b[43mn_name\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 21\u001b[0m \u001b[38;5;28mprint\u001b[39m(n_name)\n",
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"File \u001b[0;32m/usr/lib/python3.12/shutil.py:262\u001b[0m, in \u001b[0;36mcopyfile\u001b[0;34m(src, dst, follow_symlinks)\u001b[0m\n\u001b[1;32m 260\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(src, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrb\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m fsrc:\n\u001b[1;32m 261\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 262\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mdst\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mwb\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m fdst:\n\u001b[1;32m 263\u001b[0m \u001b[38;5;66;03m# macOS\u001b[39;00m\n\u001b[1;32m 264\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m _HAS_FCOPYFILE:\n\u001b[1;32m 265\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n",
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"\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'file/南化体重/new/1789748-姜吉元.pdf'"
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]
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}
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],
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"source": [
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"from pathlib import Path\n",
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"import json\n",
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"import shutil\n",
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"\n",
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"\n",
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"target_directory = Path('./file/南化体重')\n",
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"new_path = './file/南化体重/new'\n",
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"filename = 'data/南京化工人员.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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"# 遍历目标目录及其子目录获取所有文件\n",
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"\n",
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"for fl in target_directory.rglob('*.pdf'):\n",
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" if fl.is_file():\n",
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" fl_name = fl.stem\n",
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" name = fl_name[12:] \n",
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" for k, v in dict1.items(): \n",
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" if name == v['name']:\n",
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" n_name = Path(new_path,str(k)+'-'+name+'.pdf')\n",
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" shutil.copyfile(fl,n_name)\n",
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" print(n_name)\n",
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" \n",
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" "
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]
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},
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{
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"cell_type": "markdown",
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"id": "8d5f4103-0d1e-4711-b324-ece360f8dcd3",
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@@ -568,7 +543,7 @@
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"headers = {\n",
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" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
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" }\n",
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"filename = 'data/result_南京化工.json'\n",
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"filename = 'data/result_南京化工-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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@@ -582,7 +557,7 @@
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" \n",
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" id = str(k).rjust(4,\"0\")\n",
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" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
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" mydata['title'] = '江苏油田'\n",
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" mydata['title'] = '南化公司'\n",
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" mydata['subtitle'] = v['unit']\n",
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" mydata['id'] = id\n",
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" mydata['name'] = v['name']\n",
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@@ -609,8 +584,8 @@
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" else:\n",
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" mark = v[item]['成绩'].split()[0]\n",
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" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
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" #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
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" if len(mydata['fits']) >2 : \n",
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" if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
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" #if len(mydata['fits']) >2 : \n",
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" list1.append(mydata)\n",
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" list2.append([k,v['name']])\n",
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" i+=1\n",
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Block a user