349 lines
20 KiB
Plaintext
349 lines
20 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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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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"题号: 000270 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 000271 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 000271 , 字段: objs 中已有该数据: K0714005X\n",
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"题号: 000284 , 字段: objs 中已有该数据: K0715003X\n",
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"题号: 000285 , 字段: objs 中已添加数据: K0714004X\n",
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"题号: 000288 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 000379 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 000485 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 000485 , 字段: objs 中已添加数据: K0713004X\n",
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"题号: 000510 , 字段: objs 中已添加数据: K0715002X\n",
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"题号: 000560 , 字段: objs 中已添加数据: K0714003X\n",
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"题号: 000625 , 字段: objs 中已添加数据: K0714004X\n",
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"题号: 000625 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 000705 , 字段: objs 中已添加数据: K0715002X\n",
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"题号: 000723 , 字段: objs 中已添加数据: K0713003X\n",
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"题号: 000755 , 字段: objs 中已添加数据: K0714002X\n",
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"题号: 000801 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 000813 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 000895 , 字段: objs 中已添加数据: K0715002X\n",
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"题号: 000908 , 字段: objs 中已添加数据: K0714003X\n",
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"题号: 002307 , 字段: objs 中已添加数据: K0714005X\n",
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"题号: 002308 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 002309 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 002310 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 002313 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 002315 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 002316 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 002317 , 字段: objs 中已添加数据: K0713004X\n",
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"题号: 002319 , 字段: objs 中已添加数据: KNONE\n",
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"题号: 002324 , 字段: objs 中已添加数据: K0715002X\n",
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"题号: 002325 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 002328 , 字段: objs 中已添加数据: KNONE\n",
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"题号: 002330 , 字段: objs 中已添加数据: K0714003X\n",
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"题号: 002330 , 字段: objs 中已添加数据: K0713004X\n",
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"题号: 002331 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 002342 , 字段: objs 中已添加数据: K0713004X\n",
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"题号: 002343 , 字段: objs 中已添加数据: K0714005X\n",
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"题号: 002343 , 字段: objs 中已添加数据: K0714002X\n",
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"题号: 002344 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 002345 , 字段: objs 中已添加数据: K0715002X\n",
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"题号: 002346 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 002347 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 002356 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 002363 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 002367 , 字段: objs 中已添加数据: K0715002X\n",
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"题号: 002380 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 002389 , 字段: objs 中已添加数据: K0715002X\n",
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"题号: 002428 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 002428 , 字段: objs 中已添加数据: K0715002X\n",
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"题号: 002443 , 字段: objs 中已添加数据: K0713004X\n",
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"题号: 002447 , 字段: objs 中已添加数据: KNONE\n",
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"题号: 002469 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 002480 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 002481 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 002482 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 002683 , 字段: objs 中已添加数据: K0715002X\n",
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"题号: 002686 , 字段: objs 中已添加数据: KNONE\n",
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"题号: 003401 , 字段: objs 中已添加数据: K0713003X\n",
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"题号: 003401 , 字段: objs 中已添加数据: K0713004X\n",
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"题号: 003403 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 003404 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 003409 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 003409 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 003410 , 字段: objs 中已添加数据: K0713003X\n",
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"题号: 003411 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 003411 , 字段: objs 中已添加数据: K0713004X\n",
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"题号: 003414 , 字段: objs 中已添加数据: KNONE\n",
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"题号: 003415 , 字段: objs 中已添加数据: K0715002X\n",
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"题号: 003416 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 003428 , 字段: objs 中已添加数据: K0715002X\n",
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"题号: 003608 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 003619 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 003650 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 003664 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 003704 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 003733 , 字段: objs 中已添加数据: K0713003X\n",
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"题号: 003748 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 003909 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 004162 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 004288 , 字段: objs 中已添加数据: K0715002X\n",
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"题号: 004288 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 004303 , 字段: objs 中已添加数据: K0713002X\n",
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"题号: 004309 , 字段: objs 中已添加数据: K0715003X\n",
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"题号: 010667 , 字段: objs 中已添加数据: K0713002X\n",
|
|
"题号: 010668 , 字段: objs 中已添加数据: K0714003X\n",
|
|
"题号: 010668 , 字段: objs 中已添加数据: K0714005X\n",
|
|
"题号: 010669 , 字段: objs 中已添加数据: K0713004X\n",
|
|
"题号: 010670 , 字段: objs 中已添加数据: K0715003X\n",
|
|
"题号: 010671 , 字段: objs 中已添加数据: K0713001X\n",
|
|
"题号: 010672 , 字段: objs 中已添加数据: K0715002X\n",
|
|
"题号: 010673 , 字段: objs 中已添加数据: K0713003X\n",
|
|
"题号: 010673 , 字段: objs 中已添加数据: K0715001X\n",
|
|
"题号: 010690 , 字段: objs 中已添加数据: K0713002X\n",
|
|
"题号: 010702 , 字段: objs 中已添加数据: K0715003X\n",
|
|
"题号: 010703 , 字段: objs 中已添加数据: K0713002X\n",
|
|
"题号: 010704 , 字段: objs 中已添加数据: K0715003X\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import os,re,json\n",
|
|
"\n",
|
|
"\"\"\"---明确数据文件位置---\"\"\"\n",
|
|
"datafile = \"文本文件/metadata.txt\"\n",
|
|
"# 双回车分隔，记录内单回车分隔列表，首行为字段名\n",
|
|
"\"\"\"---文件位置结束---\"\"\"\n",
|
|
"\n",
|
|
"def trim(string):\n",
|
|
" string = re.sub(r\"^[ \\t\\n]*\",\"\",string)\n",
|
|
" string = re.sub(r\"[ \\t\\n]*$\",\"\",string)\n",
|
|
" return string\n",
|
|
"def FloatToInt(string):\n",
|
|
" f = float(string)\n",
|
|
" if abs(f-round(f))<0.01:\n",
|
|
" f = round(f)\n",
|
|
" return f\n",
|
|
"\n",
|
|
"with open(datafile,\"r\",encoding=\"utf8\") as f:\n",
|
|
" data = f.read()\n",
|
|
"pos = data.index(\"\\n\")\n",
|
|
"field = data[:pos].strip()\n",
|
|
"appending_data = data[pos:]\n",
|
|
"\n",
|
|
"with open(r\"../题库0.3/Problems.json\",\"r\",encoding = \"utf8\") as f:\n",
|
|
" database = f.read()\n",
|
|
"pro_dict = json.loads(database)\n",
|
|
"with open(r\"../题库0.3/LessonObj.json\",\"r\",encoding = \"utf8\") as f:\n",
|
|
" database = f.read()\n",
|
|
"obj_dict = json.loads(database)\n",
|
|
"\n",
|
|
"#该字段列表可能需要更新\n",
|
|
"fields = [\"content\",\"objs\",\"tags\",\"genre\",\"ans\",\"solution\",\"duration\",\"usages\",\"origin\",\"edit\",\"same\",\"related\",\"remark\",\"space\"]\n",
|
|
"\n",
|
|
"if field in fields:\n",
|
|
" field_type = type(pro_dict[\"000001\"][field])\n",
|
|
" datalist = [record.strip() for record in appending_data.split(\"\\n\\n\") if len(trim(record)) > 0]\n",
|
|
" for record in datalist:\n",
|
|
" id = re.findall(r\"^[\\d]{1,}\",record)[0]\n",
|
|
" data = record[len(id):].strip()\n",
|
|
" id = id.zfill(6)\n",
|
|
" if not id in pro_dict:\n",
|
|
" print(\"题号:\",id,\"不在数据库中.\")\n",
|
|
" break\n",
|
|
" \n",
|
|
" #字符串类型字段添加数据\n",
|
|
" elif field_type == str and data in pro_dict[id][field]:\n",
|
|
" print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",data)\n",
|
|
" elif field_type == str and not data in pro_dict[id][field] and not field == \"ans\" and not field == \"space\":\n",
|
|
" origin_data = pro_dict[id][field]\n",
|
|
" new_data = trim(origin_data + \"\\n\" + data)\n",
|
|
" pro_dict[id][field] = new_data\n",
|
|
" print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",data)\n",
|
|
" elif field_type == str and not data in pro_dict[id][field] and field == \"ans\" or field == \"space\":\n",
|
|
" pro_dict[id][field] = data\n",
|
|
" print(\"题号:\",id,\", 字段:\",field,\"中已修改数据:\",data)\n",
|
|
" \n",
|
|
" #数值类型字段添加数据\n",
|
|
" elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])<0.01:\n",
|
|
" print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",FloatToInt(data))\n",
|
|
" elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])>=0.01:\n",
|
|
" pro_dict[id][field] = FloatToInt(data)\n",
|
|
" print(\"题号:\",id,\", 字段:\",field,\"中已修改数据:\",FloatToInt(data))\n",
|
|
" \n",
|
|
" #列表类型字段添加数据\n",
|
|
" elif field_type == list:\n",
|
|
" cell_data_list = [d.strip() for d in data.split(\"\\n\")]\n",
|
|
" for cell_data in cell_data_list:\n",
|
|
" if cell_data in pro_dict[id][field]:\n",
|
|
" print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",cell_data)\n",
|
|
" elif not field == \"objs\":\n",
|
|
" pro_dict[id][field].append(cell_data)\n",
|
|
" print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",cell_data)\n",
|
|
" else:\n",
|
|
" if not cell_data in obj_dict and not cell_data.upper() == \"KNONE\":\n",
|
|
" print(\"题号:\",id,\", 字段:\",field,\"目标编号有误:\",cell_data)\n",
|
|
" else:\n",
|
|
" pro_dict[id][field].append(cell_data.upper())\n",
|
|
" print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",cell_data.upper())\n",
|
|
"\n",
|
|
"with open(r\"../题库0.3/Problems.json\",\"w\",encoding = \"utf8\") as f:\n",
|
|
" f.write(json.dumps(pro_dict,indent=4,ensure_ascii=False))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
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"display_name": "Python 3.8.8 ('base')",
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"language": "python",
|
|
"name": "python3"
|
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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|
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"vscode": {
|
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|
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