125 lines
4.3 KiB
Plaintext
125 lines
4.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import os,re,json\n",
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"\n",
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"\"\"\"---设置关键字, 同一field下不同选项为or关系, 同一字典中不同字段间为and关系, 不同字典间为or关系, _not表示列表中的关键字都不含, 同一字典中的数字用来供应同一字段不同的条件之间的and---\"\"\"\n",
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"keywords_dict_table = [\n",
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" {\"content\":[\"虚部\",\"Im\"],\"usages\":\"2023\"}\n",
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"]\n",
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"\"\"\"---关键字设置完毕---\"\"\"\n",
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"# 示例： keywords_dict_table = [\n",
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"# {\"tags\": [\"第三单元\"], \"content1\": [r\"[\\d]\\alpha\",\"2x\"], \"content2\": [\"sin\"], \"content3\": [\"cos\"],\"content4\": [\"cot\"], \"content5\": [\"tan\"]},\n",
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"# ]\n",
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"# 实例2: keywords_dict_table = [\n",
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"# {\"tags\":[\"第三单元\"],\"content\":[\"f\\(\",\"y=\",\"函数\"],\"usages\":[r\"0\\.9\",r\"0\\.8[3-9]\"],\"usages_not\":[r\"0\\.[0-7]\",r\"0\\.8[0-2]\"],\"usages1\":[\"2023届\"]},\n",
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"# {\"tags\":[\"第五单元\"],\"usages\":[r\"0\\.9\"],\"usages_not\":[r\"0\\.[0-7]\",r\"0\\.8[0-2]\"],\"usages1\":[\"2023届\"]}\n",
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"# ]\n",
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"# 实例3: \n",
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"# keywords_dict_table = [\n",
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"# {\"usages\":[r\"2023届高三02班\"],\"usages2\":[r\"202209\",r\"20221[012]\"],\"usages3\":[r\"0\\.[678][\\d]{2}\"],\"usages_not\":[r\"2023届高三02班[^\\n]*0\\.[0-59][\\d]{2}\"]}\n",
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" \n",
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"# ]\n",
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"\n",
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"\n",
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"\"\"\"---设置输出文件名---\"\"\"\n",
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"filename = \"文本文件/题号筛选.txt\"\n",
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"\"\"\"---文件名设置完毕---\"\"\"\n",
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"\n",
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"\n",
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"def match_condition(problem,condition_dict):\n",
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" match = True\n",
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" for field1 in [c for c in condition_dict if not \"_not\" in c]:\n",
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" cond_list = condition_dict[field1]\n",
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" field = re.sub(\"\\d\",\"\",field1)\n",
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" string = str(problem[field])\n",
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" current_match = False\n",
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" for cond in cond_list:\n",
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" if len(re.findall(cond,string)) > 0:\n",
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" current_match = True\n",
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" if current_match == False:\n",
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" match = False\n",
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" for field1 in [c for c in condition_dict if \"_not\" in c]:\n",
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" cond_list = condition_dict[field1]\n",
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" field1 = field1.replace(\"_not\",\"\")\n",
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" field = re.sub(\"\\d\",\"\",field1)\n",
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" string = str(problem[field])\n",
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" current_match = True\n",
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" for cond in cond_list:\n",
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" if len(re.findall(cond,string)) > 0:\n",
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" current_match = False\n",
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" if current_match == False:\n",
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" match = False\n",
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" \n",
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" return match\n",
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"\n",
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"#读取题库json文件并转化为字典\n",
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"with open(r\"../题库0.3/Problems.json\",\"r\",encoding = \"utf8\") as f:\n",
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" database = f.read()\n",
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"pro_dict = json.loads(database)\n",
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"\n",
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"match_list = []\n",
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"for condition in keywords_dict_table:\n",
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" for id in pro_dict:\n",
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" if match_condition(pro_dict[id],condition) and not id in match_list:\n",
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" match_list.append(id)\n",
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"\n",
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"with open(filename,\"w\",encoding=\"utf8\") as f:\n",
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" f.write(\",\".join(match_list))\n",
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"\n",
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"os.system(\"code \"+filename)"
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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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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.9.15 ('pythontest')",
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"language": "python",
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"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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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.15"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "91219a98e0e9be72efb992f647fe78b593124968b75db0b865552d6787c8db93"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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