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linux web部署 tomcat下访问ip直接进入op=fs界面报错

本帖最后由 16022147 于 2017-5-16 10:52 编辑安装finebi后，安照帮助文档编辑了一个a.jsp文件，代码部分： FineBI 然后，直接放到WebReport文件夹下，安照帮助文档中的“保存，重启tomcat服务器访问http://localhost/WebReport/a.jsp就可以显示产品演示界面了。” 得到的却是失败的 64788 ps：解决了会有追加豆豆 </div> <div class="item_footer liinfo"> <em class="if5">656个浏览</em> <em class="if3">4个回答</em> <em class="if1">FineBI</em> <em class="if1">2017年05月16日发布</em> </div> </div> </div> <div class="item_img"></div> </div> </li> </ul> <div class="clear"></div> <p style="display:none">1</p> <p style="display:none">1</p> <p style="display:none">1</p> <p style="display:none">10</p> <div style="display:none">没有更多</div> </div> </div> </div> <style> .rtif_uin li{ width: 50%; } </style> <div class="rt"> <div class="rt_box"> <div style=" padding:20px 20px 10px 20px;" class="rtif_uin clr"> <div class="mod_til"><i></i>个人成就</div> <div class="accomplishment_wrapper"> <div class="accomplishment_item"> <div class="icon_wrapper"> <img src="/template/fanruan_2018/style/right_views.png" class="icon"/> </div> 内容被浏览4,176 </div> <div class="accomplishment_item"> <div class="icon_wrapper"> <img src="/template/fanruan_2018/style/right_join.png" class="icon"/> </div> 加入社区9年191天 </div>       </div> </div> </div> <div class="rt_box"> </div> </div> </div> <script> async function getMessageImg(tid,type = "forum", limit = 0) { try{ const jsonData = await fetch('https://api.shequ.fanruan.com/v1/forum/cover/?type='+type+'&tid='+tid); const data = await jsonData.json(); if (data.message === 'success'){ if (data.data.info){ return data.data.info } return ''; } else { return ''; } } catch (e){ return ''; } } window.onload=function(){ var intersectionObserver = new IntersectionObserver(function(entries) { entries.forEach(async (entry) => { var dom = entry.target; var id = dom.dataset.id; if (!entry.isIntersecting){ console.log('不可见'); } else { console.log('可见'); if (id && dom.querySelector('.item_img')){ const imgSrc = await getMessageImg(id,'ask'); console.log(imgSrc); if (imgSrc){ console.log(dom); const imgDom = document.createElement('img'); imgDom.src=imgSrc; imgDom.classList.add('thread_img'); if (dom.querySelector('.item_img').childElementCount===0){ dom.querySelector('.item_img').appendChild(imgDom) } dom.querySelector('.item_body_inner').classList.add('item_body_inner_img'); } } if (dom.querySelector('.item_loading_img')){ dom.querySelector('.item_loading_img').style.display='none'; } if (dom.querySelector('.item_body')){ dom.querySelector('.item_body').style.display='flex'; } intersectionObserver.unobserve(dom); } }) }); // start observing var items = document.querySelectorAll('.thread_wrapper .item'); for(let i=0;i<items.length;i++){ var item = items[i]; intersectionObserver.observe(item); } } </script></div> <style> /*:root *, :root :after, :root :before {*/ /* box-sizing: content-box !important;*/ /*}*/ .htjx_list a{ color:#333 !important; } #scrolltop{ display: none !important; } body{ background-color: #f4f5f5 !important; } .zzza_tsr{ float: inherit !important; } .tkbn .lftxt h2{ color:white !important; } .dr-feedback-modal .ant-modal-close-x{ display: flex; align-items: center; justify-content: center; } .dr-feedback-modal-tips{ box-sizing: border-box; } .dr-feedback-popover-wrapper .dr-feedback-popover-item-title-wrapper .title{ padding: 0; } :where(.css-ph9edi).ant-popover .ant-popover-inner{ padding:0; } </style> <div id="root"></div> <script type="text/javascript" src="plugin.php?id=levaward:l&fh=38ee4fb2&m=__m.__artwin&mod=space&do=wenda&gotoid="></script> <div class="clear" style="height:40px;"></div> <div class="deanfooter" id="deanfooter" style="margin-top:0"> <div class="deanfooter-inner"> <div class="row"> <img class="deanfooter-inner-logo" alt="logo" src="data:image/png;base64,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" 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