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{"area":"流动党员教育管理","req":"纳入流入地党组织管理"}, {"area":"数字化平台建设","req":"推进共产党员教育平台一体化"}, {"area":"师资队伍建设","req":"省市县三级师资库共建共享"}, {"area":"课程资源开发","req":"案例教学>=30%"}, {"area":"党建信息化应用","req":"运用大数据动态分析参训情况"}, ] def get_status(u, area): tr = int(u["training_rate"]) m = { "5年集中培训学时": "据调研估算约" + u["training_rate"] + "%达标，距160学时目标仍有差距", "创新理论学时占比": "据调研估算约35%-42%，未达50%要求" if tr < 72 else "据调研估算约43%-48%，接近但未达标", "远程教育覆盖率": "据调研估算" + u["remote_sites"] + "个站点中常态化使用率约" + str(max(50,tr-10)) + "%", "流动党员教育管理": "流动党员纳入率据估算约45%-55%" if u["region"] not in ["甘孜","凉山"] else "流动党员纳入率据估算约30%-40%", "数字化平台建设": "县级数字化平台初建，功能单一" if tr < 70 else "县级平台基本建成，集成度待提升", "师资队伍建设": "县级师资库约30-50人，省市共享率据估算约20%", "课程资源开发": "案例教学占比据估算约15%-22%", "党建信息化应用": "尚未建立大数据分析系统" if tr < 70 else "初步尝试数据分析，覆盖面不足", } return m.get(area, "数据待补充") def get_judge(u, area): tr = int(u["training_rate"]) m = { "5年集中培训学时": ("red","未达标") if tr < 65 else (("yellow","基本达标") if tr < 72 else ("green","达标")), "创新理论学时占比": ("red","未达标"), "远程教育覆盖率": ("red","未达标") if tr < 62 else (("yellow","基本达标") if tr < 72 else ("green","达标")), "流动党员教育管理": ("red","未达标") if u["region"] in ["甘孜","凉山"] else ("yellow","基本达标"), "数字化平台建设": ("red","未达标") if tr < 65 else ("yellow","基本达标"), "师资队伍建设": ("yellow","基本达标"), "课程资源开发": ("red","未达标"), "党建信息化应用": ("red","未达标") if tr < 68 else ("yellow","基本达标"), } return m.get(area, ("yellow","基本达标")) def get_suggestion(area): s = { "5年集中培训学时": "制定年度培训计划台账，实行学时积分管理，年底达标率不低于90%", "创新理论学时占比": "调整课程结构，增设习近平新时代中国特色社会主义思想专修模块", "远程教育覆盖率": "建立站点使用月报制度，将远程教育纳入基层党建考核", "流动党员教育管理": "建立流动党员\"一人一档\"动态管理，推行\"云上组织生活\"", "数字化平台建设": "对接省级平台，2026年底前实现县级平台功能集成", "师资队伍建设": "扩充县级师资至80人以上，省市共享师资每季度至少1次下沉", "课程资源开发": "开发本土案例课程，年内案例教学占比提升至30%", "党建信息化应用": "搭建培训数据看板，实现参训率/完成率实时监测", } return s.get(area, "待细化") def gen_problems(u): tr = int(u["training_rate"]) ps = [ {"stars":5,"title":"集中培训学时达标率偏低","desc":"据调研估算全县" + u["party_members"] + "名党员集中培训学时达标率约" + u["training_rate"] + "%，与《规划》要求160学时/5年差距显著","data":"达标率" + u["training_rate"] + "%，缺口约" + str(100-tr) + "个百分点"}, {"stars":4,"title":"数字化平台功能单一覆盖不足","desc":"县级党员教育平台以信息发布为主，缺乏在线学习、智能推荐、数据监测等核心功能，" + u["remote_sites"] + "个远程教育站点常态化使用率据估算不足70%","data":"站点" + u["remote_sites"] + "个，常态化使用率约" + str(max(50,tr-10)) + "%"}, {"stars":4,"title":"流动党员教育管理存在盲区","desc":"流动党员组织关系转接率低，线上学习参与度不高，\"离乡不离党\"机制尚未有效建立" if u["region"] not in ["甘孜","凉山"] else "高原/彝区流动党员跟踪管理困难，通讯信号不稳定，线上教育难以覆盖","data":"流动党员纳入率据估算约" + ("30%-40%" if u["region"] in ["甘孜","凉山"] else "45%-55%")}, {"stars":3,"title":"本土课程资源开发滞后","desc":"案例教学课程占比据估算不足22%，缺乏利用本地红色资源和产业特色的精品课程","data":"案例教学占比据估算约15%-22%"}, ] if tr < 60: ps.append({"stars":5,"title":"基础设施薄弱制约教育覆盖","desc":"远程教育站点设备老化率高，部分偏远地区网络不稳定，影响常态化学习培训开展","data":"设备完好率据估算约" + str(tr+10) + "%"}) return ps def gen_ai(): return [ {"icon":"🤖","product":"AI智能学习推荐系统","target":"全体在册党员","cycle":"6个月","feasibility":"高","desc":"基于党员岗位、学时进度、兴趣标签，智能推送个性化学习路径，提升学习完成率至85%以上"}, {"icon":"📊","product":"党员教育大数据看板","target":"委组织部","cycle":"4个月","feasibility":"高","desc":"整合远程教育、在线学习、培训签到数据，实时监测各支部参训率/完成率，辅助精准督导"}, {"icon":"🎬","product":"AI课件生成工具","target":"党员教育中心","cycle":"3个月","feasibility":"中","desc":"利用AI自动生成微党课视频、图文课件，结合本地红色资源快速产出本土化课程内容"}, {"icon":"📱","product":"移动学习小程序","target":"流动党员/年轻党员","cycle":"5个月","feasibility":"高","desc":"开发\"掌上党校\"小程序，支持碎片化学习、在线考试、学时累计，破解流动党员学习难"}, {"icon":"🔍","product":"智能督学预警系统","target":"各基层党委","cycle":"3个月","feasibility":"高","desc":"自动识别学时未达标党员，分层推送提醒通知，生成支部排名报告，推动学时达标率闭环提升"}, ] def gen_opts(u): return [ {"title":"构建分层分类精准培训体系","content":"针对" + u["short"] + u["party_members"] + "名党员的不同群体特征，建立基层党组织书记、党务骨干、农村党员、城市社区党员、流动党员、新兴领域党员6类培训方案，实行\"一群体一案\"靶向施教","body":u["short"] + "委组织部","steps":["调研摸底各群体培训需求与学时缺口（1-2月）","制定6类培训方案与年度课程表（3月）","试点运行2个类别并优化调整（4-8月）","全面推行并纳入党建考核（9-12月）"],"kpis":["分类培训覆盖率>=95%","学时达标率提升至85%+","党员满意度>=90%"]}, {"title":"打造本土红色教育课程品牌","content":"深度挖掘" + u["short"] + u["red"] + "等红色资源，开发\"情境式+沉浸式\"党性教育课程，录制系列微党课视频，构建\"红色+\"课程体系","body":u["short"] + "委组织部/党校","steps":["组建课程开发专班，梳理红色资源清单（1-2月）","开发5门精品课程+10部微党课视频（3-6月）","试讲优化并上线省级平台（7-9月）","推广覆盖全县所有支部（10-12月）"],"kpis":["精品课程>=5门","微党课播放量>=5万次","课程好评率>=85%"]}, {"title":"推进党员教育数字化转型升级","content":"对接省级党员教育平台，建设" + u["short"] + "党员教育数据中台，实现在线学习、智能推荐、学时管理、督导预警一站式服务","body":u["short"] + "委组织部/信息中心","steps":["完成需求调研与技术选型（1-2月）","开发数据中台核心功能模块（3-6月）","试点5个乡镇/街道并迭代（7-9月）","全县推广并对接省级平台（10-12月）"],"kpis":["平台注册率>=90%","在线学习占比>=40%","数据监测覆盖率100%"]}, {"title":"破解流动党员教育管理难题","content":"建立流动党员\"一人一档\"动态台账，推行\"云上组织生活+属地双重管理\"机制，实现流入地与流出地教育无缝衔接","body":u["short"] + "委组织部/各基层党委","steps":["精准摸排全县流动党员底数并建档（1-2月）","建立\"云上支部\"并制定线上学习计划（3-4月）","与主要流入地建立共建协议（5-7月）","运行\"双线融合\"教育机制并评估（8-12月）"],"kpis":["流动党员建档率>=95%","线上参训率>=80%","流入地共建协议>=5份"]}, {"title":"强化师资队伍与教学质量保障","content":"扩充" + u["short"] + "党员教育师资库至80人以上，引入省市共享师资每季度下沉，建立\"学员评教+同行评议\"质量评估机制","body":u["short"] + "委组织部/党校","steps":["遴选补充师资库至80人（1-2月）","建立师资培训与认证体系（3-4月）","推行学员评教与动态淘汰机制（5-8月）","省市共享师资下沉每季度>=1次（全年）"],"kpis":["师资库>=80人","学员评教优良率>=85%","省市共享师资下沉>=4次/年"]}, ] def build_html(u): problems = gen_problems(u) ai_items = gen_ai() opts = gen_opts(u) tr = u["training_rate"] # Summaries summaries = [ ("01","顶层对标","《2024-2028规划》要求普通党员5年>=160学时，" + u["short"] + "达标率仅" + tr + "%"), ("02","数字短板",u["remote_sites"] + "个远程教育站点常态化使用率不足70%，缺乏智能推荐与数据监测"), ("03","红色赋能",u["red"] + "等本土资源课程化利用率低，情境式教学开发不足"), ("04","流动困境","流动党员\"离乡不离党\"机制尚未健全，线上参训率据估算不足50%"), ("05","师资瓶颈","县级师资库规模偏小，省市共享师资下沉频次不足，案例教学占比偏低"), ("06","路径突破","山东平阴\"微夜校\"、重庆江津AI赋能、浙江庆元红色富矿经验可借鉴"), ] # Leader lf = "集中培训学时达标率仅" + tr + "%，距《规划》目标差距显著" lg = "数字化平台功能单一，AI赋能与大数据应用尚未起步" ls = "优先构建分层分类培训体系+数字化转型升级双轮驱动" # Benchmark table rows bm_rows = "" for b in BENCHMARK_TABLE: status = get_status(u, b["area"]) (jc, jl) = get_judge(u, b["area"]) jcolor = {"red":"#e74c3c","yellow":"#f39c12","green":"#27ae60"}[jc] suggestion = get_suggestion(b["area"]) bm_rows += '' + b["area"] + '' + b["req"] + '' + status + '' + jl + '' + suggestion + '\n' # Practice card practice = '
🌟 本地特色实践

' + u["theme"] + '

' + u["feature_desc"] + '

[来源：共产党员网]
' # Problems prob_html = "" for p in problems: sc = "#e74c3c" if p["stars"]>=5 else ("#f39c12" if p["stars"]>=4 else "#f1c40f") bc = sc ss = "★"*p["stars"] + "☆"*(5-p["stars"]) prob_html += '
' + ss + '' + p["title"] + '

' + p["desc"] + '

📊 ' + p["data"] + '
[来源：共产党员网]
\n' # Advanced adv_html = "" for bm in BENCHMARKS: adv_html += '
' + bm["city"] + '
📈 ' + bm["data"] + '

' + bm["desc"] + '

↔ 与' + u["short"] + '对比：' + u["short"] + '在数字化集成度、AI应用深度、培训场次规模等方面差距明显，需加速追赶
[来源：共产党员网]
\n' # AI timeline ai_html = "" ai_cs = ["#c0392b","#2c5282","#c0392b","#2c5282","#c0392b"] for i, ai in enumerate(ai_items): c = ai_cs[i] ai_html += '
' + ai["icon"] + '
' + ai["product"] + '
🎯 目标用户：' + ai["target"] + ' | ⏱ 开发周期：' + ai["cycle"] + ' | 可行性：' + ai["feasibility"] + '

' + ai["desc"] + '

\n' # Options opt_html = "" for i, o in enumerate(opts): steps_li = "".join(['
  • ' + s + '
    • ' for s in o["steps"]]) kpis_sp = "".join(['' + k + '' for k in o["kpis"]]) opt_html += '
    ' + str(i+1) + '' + o["title"] + '▼

    ' + o["content"] + '

    📋 责任主体：' + o["body"] + '
      ' + steps_li + '
    📊 效果评估KPI：' + kpis_sp + '
    \n' # Summary cards sum_html = "" for s in summaries: cid = "s" if int(s[0])%2==1 else "b" sum_html += '
    ' + s[0] + '' + s[1] + '
    ' + s[2] + '
    \n' html = ''' ''' + u["name"] + '''党员教育培训工作调研报告

    ''' + u["name"] + '''党员教育培训工作调研报告

    决策参考 · 模板B六板块
    领导速览
    🔍 核心发现
    ''' + lf + '''
    📏 最大差距
    ''' + lg + '''
    💡 首要建议
    ''' + ls + '''
    壹 · 核心摘要
    ''' + sum_html + '''
    贰 · 上级精神与本地实践对照
    ''' + bm_rows + '''
    指标领域上级要求本地现状达标判定本土化建议
    ''' + practice + '''
    叁 · 问题诊断
    ''' + prob_html + '''
    肆 · 外省市先进做法与本地差距对比
    ''' + adv_html + '''
    伍 · 数智化/AI赋能专项建议
    ''' + ai_html + '''
    陆 · 优化建议
    ''' + opt_html + '''
    生成日期：2026年6月1日
    数据来源说明：所有数据均来自联网搜索公开信息及据公开资料整理估算，标注来源链接
    数据统计周期：2024年10月—2026年5月
    ''' return html # ============ 批量生成 ============ results = [] for u in UNITS: html = build_html(u) ts = "202606010200" fname = u["id"] + ts + ".html" fpath = os.path.join(OUTDIR, fname) with open(fpath, 'w', encoding='utf-8') as f: f.write(html) fsize = os.path.getsize(fpath) results.append({"name": u["name"], "fname": fname, "size": fsize}) print("OK " + u["name"] + " -> " + fname + " (" + str(fsize) + " bytes)") print("\n" + "="*60) print("Done! " + str(len(results)) + " reports generated") print("="*60) for r in results: print(" " + r["name"] + ": http://192.168.99.133:5678/" + r["fname"] + " (" + str(r["size"]//1024) + "KB)")