From 2bdede8ed58f5fde2ca72e3e71e366a48971aebb Mon Sep 17 00:00:00 2001 From: Zakhar Bessarab Date: Mon, 4 Nov 2024 10:59:42 -0300 Subject: [PATCH] app/{vmselect,vlselect}: run make vmui-update vmui-logs-update Signed-off-by: Zakhar Bessarab --- app/vlselect/vmui/asset-manifest.json | 4 ++-- app/vlselect/vmui/index.html | 2 +- .../vmui/static/js/{main.64aea685.js => main.aaafe439.js} | 4 ++-- ....64aea685.js.LICENSE.txt => main.aaafe439.js.LICENSE.txt} | 0 app/vmselect/vmui/asset-manifest.json | 4 ++-- app/vmselect/vmui/config.json | 5 +++++ app/vmselect/vmui/index.html | 2 +- app/vmselect/vmui/static/js/main.68e2aae8.js | 2 -- app/vmselect/vmui/static/js/main.7ec4e6eb.js | 2 ++ ....68e2aae8.js.LICENSE.txt => main.7ec4e6eb.js.LICENSE.txt} | 0 10 files changed, 15 insertions(+), 10 deletions(-) rename app/vlselect/vmui/static/js/{main.64aea685.js => main.aaafe439.js} (78%) rename app/vlselect/vmui/static/js/{main.64aea685.js.LICENSE.txt => main.aaafe439.js.LICENSE.txt} (100%) create mode 100644 app/vmselect/vmui/config.json delete mode 100644 app/vmselect/vmui/static/js/main.68e2aae8.js create mode 100644 app/vmselect/vmui/static/js/main.7ec4e6eb.js rename app/vmselect/vmui/static/js/{main.68e2aae8.js.LICENSE.txt => main.7ec4e6eb.js.LICENSE.txt} (100%) diff --git a/app/vlselect/vmui/asset-manifest.json b/app/vlselect/vmui/asset-manifest.json index 7f7c1a14f..af4aeded1 100644 --- a/app/vlselect/vmui/asset-manifest.json +++ b/app/vlselect/vmui/asset-manifest.json @@ -1,13 +1,13 @@ { "files": { "main.css": "./static/css/main.faf86aa5.css", - "main.js": "./static/js/main.64aea685.js", + "main.js": "./static/js/main.aaafe439.js", "static/js/685.f772060c.chunk.js": "./static/js/685.f772060c.chunk.js", "static/media/MetricsQL.md": "./static/media/MetricsQL.a00044c91d9781cf8557.md", "index.html": "./index.html" }, "entrypoints": [ "static/css/main.faf86aa5.css", - "static/js/main.64aea685.js" + "static/js/main.aaafe439.js" ] } \ No newline at end of file diff --git a/app/vlselect/vmui/index.html b/app/vlselect/vmui/index.html index 165edef93..cb49ffcbb 100644 --- a/app/vlselect/vmui/index.html +++ b/app/vlselect/vmui/index.html @@ -1 +1 @@ -UI for VictoriaLogs
\ No newline at end of file +UI for VictoriaLogs
\ No newline at end of file diff --git a/app/vlselect/vmui/static/js/main.64aea685.js b/app/vlselect/vmui/static/js/main.aaafe439.js similarity index 78% rename from app/vlselect/vmui/static/js/main.64aea685.js rename to app/vlselect/vmui/static/js/main.aaafe439.js index 5fec423a3..8090934eb 100644 --- a/app/vlselect/vmui/static/js/main.64aea685.js +++ b/app/vlselect/vmui/static/js/main.aaafe439.js @@ -1,2 +1,2 @@ -/*! 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n=n.trim(),/^$/.test(e)?n.slice(1):n.slice(1,-1)),po(t,{href:n?n.replace(this.rules.inline.anyPunctuation,"$1"):n,title:r?r.replace(this.rules.inline.anyPunctuation,"$1"):r},t[0],this.lexer)}}reflink(e,t){let n;if((n=this.rules.inline.reflink.exec(e))||(n=this.rules.inline.nolink.exec(e))){const e=t[(n[2]||n[1]).replace(/\s+/g," ").toLowerCase()];if(!e){const e=n[0].charAt(0);return{type:"text",raw:e,text:e}}return po(n,e,n[0],this.lexer)}}emStrong(e,t){let n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"",r=this.rules.inline.emStrongLDelim.exec(e);if(!r)return;if(r[3]&&n.match(/[\p{L}\p{N}]/u))return;if(!(r[1]||r[2]||"")||!n||this.rules.inline.punctuation.exec(n)){const n=[...r[0]].length-1;let a,i,o=n,l=0;const s="*"===r[0][0]?this.rules.inline.emStrongRDelimAst:this.rules.inline.emStrongRDelimUnd;for(s.lastIndex=0,t=t.slice(-1*e.length+n);null!=(r=s.exec(t));){if(a=r[1]||r[2]||r[3]||r[4]||r[5]||r[6],!a)continue;if(i=[...a].length,r[3]||r[4]){o+=i;continue}if((r[5]||r[6])&&n%3&&!((n+i)%3)){l+=i;continue}if(o-=i,o>0)continue;i=Math.min(i,i+o+l);const t=[...r[0]][0].length,s=e.slice(0,n+r.index+t+i);if(Math.min(n,i)%2){const e=s.slice(1,-1);return{type:"em",raw:s,text:e,tokens:this.lexer.inlineTokens(e)}}const c=s.slice(2,-2);return{type:"strong",raw:s,text:c,tokens:this.lexer.inlineTokens(c)}}}}codespan(e){const t=this.rules.inline.code.exec(e);if(t){let e=t[2].replace(/\n/g," ");const n=/[^ ]/.test(e),r=/^ /.test(e)&&/ $/.test(e);return n&&r&&(e=e.substring(1,e.length-1)),e=oo(e,!0),{type:"codespan",raw:t[0],text:e}}}br(e){const t=this.rules.inline.br.exec(e);if(t)return{type:"br",raw:t[0]}}del(e){const t=this.rules.inline.del.exec(e);if(t)return{type:"del",raw:t[0],text:t[2],tokens:this.lexer.inlineTokens(t[2])}}autolink(e){const t=this.rules.inline.autolink.exec(e);if(t){let e,n;return"@"===t[2]?(e=oo(t[1]),n="mailto:"+e):(e=oo(t[1]),n=e),{type:"link",raw:t[0],text:e,href:n,tokens:[{type:"text",raw:e,text:e}]}}}url(e){let t;if(t=this.rules.inline.url.exec(e)){let e,r;if("@"===t[2])e=oo(t[0]),r="mailto:"+e;else{let a;do{var n;a=t[0],t[0]=null!==(n=this.rules.inline._backpedal.exec(t[0])?.[0])&&void 0!==n?n:""}while(a!==t[0]);e=oo(t[0]),r="www."===t[1]?"http://"+t[0]:t[0]}return{type:"link",raw:t[0],text:e,href:r,tokens:[{type:"text",raw:e,text:e}]}}}inlineText(e){const t=this.rules.inline.text.exec(e);if(t){let e;return e=this.lexer.state.inRawBlock?t[0]:oo(t[0]),{type:"text",raw:t[0],text:e}}}}const vo=/^ {0,3}((?:-[\t ]*){3,}|(?:_[ \t]*){3,}|(?:\*[ \t]*){3,})(?:\n+|$)/,go=/(?:[*+-]|\d{1,9}[.)])/,yo=so(/^(?!bull |blockCode|fences|blockquote|heading|html)((?:.|\n(?!\s*?\n|bull 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{2,}\n)|[\s\S]*?(?:(?=[\\1&&void 0!==arguments[1]?arguments[1]:[],i=arguments.length>2&&void 0!==arguments[2]&&arguments[2];for(this.options.pedantic&&(e=e.replace(/\t/g," ").replace(/^ +$/gm,""));e;)if(!(this.options.extensions&&this.options.extensions.block&&this.options.extensions.block.some((n=>!!(t=n.call({lexer:this},e,a))&&(e=e.substring(t.raw.length),a.push(t),!0)))))if(t=this.tokenizer.space(e))e=e.substring(t.raw.length),1===t.raw.length&&a.length>0?a[a.length-1].raw+="\n":a.push(t);else if(t=this.tokenizer.code(e))e=e.substring(t.raw.length),n=a[a.length-1],!n||"paragraph"!==n.type&&"text"!==n.type?a.push(t):(n.raw+="\n"+t.raw,n.text+="\n"+t.text,this.inlineQueue[this.inlineQueue.length-1].src=n.text);else if(t=this.tokenizer.fences(e))e=e.substring(t.raw.length),a.push(t);else if(t=this.tokenizer.heading(e))e=e.substring(t.raw.length),a.push(t);else if(t=this.tokenizer.hr(e))e=e.substring(t.raw.length),a.push(t);else if(t=this.tokenizer.blockquote(e))e=e.substring(t.raw.length),a.push(t);else if(t=this.tokenizer.list(e))e=e.substring(t.raw.length),a.push(t);else if(t=this.tokenizer.html(e))e=e.substring(t.raw.length),a.push(t);else if(t=this.tokenizer.def(e))e=e.substring(t.raw.length),n=a[a.length-1],!n||"paragraph"!==n.type&&"text"!==n.type?this.tokens.links[t.tag]||(this.tokens.links[t.tag]={href:t.href,title:t.title}):(n.raw+="\n"+t.raw,n.text+="\n"+t.raw,this.inlineQueue[this.inlineQueue.length-1].src=n.text);else if(t=this.tokenizer.table(e))e=e.substring(t.raw.length),a.push(t);else if(t=this.tokenizer.lheading(e))e=e.substring(t.raw.length),a.push(t);else{if(r=e,this.options.extensions&&this.options.extensions.startBlock){let t=1/0;const n=e.slice(1);let a;this.options.extensions.startBlock.forEach((e=>{a=e.call({lexer:this},n),"number"===typeof a&&a>=0&&(t=Math.min(t,a))})),t<1/0&&t>=0&&(r=e.substring(0,t+1))}if(this.state.top&&(t=this.tokenizer.paragraph(r)))n=a[a.length-1],i&&"paragraph"===n?.type?(n.raw+="\n"+t.raw,n.text+="\n"+t.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=n.text):a.push(t),i=r.length!==e.length,e=e.substring(t.raw.length);else if(t=this.tokenizer.text(e))e=e.substring(t.raw.length),n=a[a.length-1],n&&"text"===n.type?(n.raw+="\n"+t.raw,n.text+="\n"+t.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=n.text):a.push(t);else if(e){const t="Infinite loop on byte: "+e.charCodeAt(0);if(this.options.silent){console.error(t);break}throw new Error(t)}}return this.state.top=!0,a}inline(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:[];return this.inlineQueue.push({src:e,tokens:t}),t}inlineTokens(e){let t,n,r,a,i,o,l=arguments.length>1&&void 0!==arguments[1]?arguments[1]:[],s=e;if(this.tokens.links){const e=Object.keys(this.tokens.links);if(e.length>0)for(;null!=(a=this.tokenizer.rules.inline.reflinkSearch.exec(s));)e.includes(a[0].slice(a[0].lastIndexOf("[")+1,-1))&&(s=s.slice(0,a.index)+"["+"a".repeat(a[0].length-2)+"]"+s.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;null!=(a=this.tokenizer.rules.inline.blockSkip.exec(s));)s=s.slice(0,a.index)+"["+"a".repeat(a[0].length-2)+"]"+s.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);for(;null!=(a=this.tokenizer.rules.inline.anyPunctuation.exec(s));)s=s.slice(0,a.index)+"++"+s.slice(this.tokenizer.rules.inline.anyPunctuation.lastIndex);for(;e;)if(i||(o=""),i=!1,!(this.options.extensions&&this.options.extensions.inline&&this.options.extensions.inline.some((n=>!!(t=n.call({lexer:this},e,l))&&(e=e.substring(t.raw.length),l.push(t),!0)))))if(t=this.tokenizer.escape(e))e=e.substring(t.raw.length),l.push(t);else if(t=this.tokenizer.tag(e))e=e.substring(t.raw.length),n=l[l.length-1],n&&"text"===t.type&&"text"===n.type?(n.raw+=t.raw,n.text+=t.text):l.push(t);else if(t=this.tokenizer.link(e))e=e.substring(t.raw.length),l.push(t);else if(t=this.tokenizer.reflink(e,this.tokens.links))e=e.substring(t.raw.length),n=l[l.length-1],n&&"text"===t.type&&"text"===n.type?(n.raw+=t.raw,n.text+=t.text):l.push(t);else if(t=this.tokenizer.emStrong(e,s,o))e=e.substring(t.raw.length),l.push(t);else if(t=this.tokenizer.codespan(e))e=e.substring(t.raw.length),l.push(t);else if(t=this.tokenizer.br(e))e=e.substring(t.raw.length),l.push(t);else if(t=this.tokenizer.del(e))e=e.substring(t.raw.length),l.push(t);else if(t=this.tokenizer.autolink(e))e=e.substring(t.raw.length),l.push(t);else if(this.state.inLink||!(t=this.tokenizer.url(e))){if(r=e,this.options.extensions&&this.options.extensions.startInline){let t=1/0;const n=e.slice(1);let a;this.options.extensions.startInline.forEach((e=>{a=e.call({lexer:this},n),"number"===typeof a&&a>=0&&(t=Math.min(t,a))})),t<1/0&&t>=0&&(r=e.substring(0,t+1))}if(t=this.tokenizer.inlineText(r))e=e.substring(t.raw.length),"_"!==t.raw.slice(-1)&&(o=t.raw.slice(-1)),i=!0,n=l[l.length-1],n&&"text"===n.type?(n.raw+=t.raw,n.text+=t.text):l.push(t);else if(e){const t="Infinite loop on byte: "+e.charCodeAt(0);if(this.options.silent){console.error(t);break}throw new Error(t)}}else e=e.substring(t.raw.length),l.push(t);return l}}class Xo{options;parser;constructor(e){this.options=e||Ji}space(e){return""}code(e){let{text:t,lang:n,escaped:r}=e;const a=(n||"").match(/^\S*/)?.[0],i=t.replace(/\n$/,"")+"\n";return a?'
    '+(r?i:oo(i,!0))+"
    \n":"
    "+(r?i:oo(i,!0))+"
    \n"}blockquote(e){let{tokens:t}=e;return`
    \n${this.parser.parse(t)}
    \n`}html(e){let{text:t}=e;return t}heading(e){let{tokens:t,depth:n}=e;return`${this.parser.parseInline(t)}\n`}hr(e){return"
    \n"}list(e){const t=e.ordered,n=e.start;let r="";for(let i=0;i\n"+r+"\n"}listitem(e){let t="";if(e.task){const n=this.checkbox({checked:!!e.checked});e.loose?e.tokens.length>0&&"paragraph"===e.tokens[0].type?(e.tokens[0].text=n+" "+e.tokens[0].text,e.tokens[0].tokens&&e.tokens[0].tokens.length>0&&"text"===e.tokens[0].tokens[0].type&&(e.tokens[0].tokens[0].text=n+" "+e.tokens[0].tokens[0].text)):e.tokens.unshift({type:"text",raw:n+" ",text:n+" "}):t+=n+" "}return t+=this.parser.parse(e.tokens,!!e.loose),`
  • ${t}
    • \n`}checkbox(e){let{checked:t}=e;return"'}paragraph(e){let{tokens:t}=e;return`

    ${this.parser.parseInline(t)}

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    \n

    \n When looking to reduce the number of active series in your data source,\n you can start by inspecting individual metrics with high cardinality\n (i.e. that have lots of active time series associated with them),\n since that single metric contributes a large fraction of the series that make up your total series count.\n

    ",seriesCountByLabelName:"\n

    \n This table returns a list of the labels with the highest number of series.\n

    \n

    \n Use this table to identify labels that are storing dimensions with high cardinality\n (many different label values).\n

    \n

    \n It is recommended to choose labels such that they have a finite set of values,\n since every unique combination of key-value label pairs creates a new time series\n and therefore can dramatically increase the number of time series in your system.\n

    ",seriesCountByFocusLabelValue:"\n

    \n This table returns a list of unique label values per selected label.\n

    \n

    \n Use this table to identify label values that are storing per each selected series.\n

    ",labelValueCountByLabelName:"\n

    \n This table returns a list of labels with the highest number of the unique values.\n

    \n ",seriesCountByLabelValuePair:"\n

    \n This table returns a list of the label values pairs with the highest number of series.\n

    \n

    \n Use this table to identify unique label values pairs. This helps to identify same labels \n is applied to count timeseries in your system, since every unique combination of key-value label pairs \n creates a new time series and therefore can dramatically increase the number of time series in your system\n

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Nm=e=>{let{rows:t,headerCells:n,defaultSortColumn:a,tableCells:i}=e;const[o,l]=(0,r.useState)("desc"),[s,c]=(0,r.useState)(a),u=Em(t,Cm(o,s));return Nt("table",{className:"vm-table vm-cardinality-panel-table",children:[Nt(km,{order:o,orderBy:s,onRequestSort:(e,t)=>{l(s===t&&"asc"===o?"desc":"asc"),c(t)},rowCount:t.length,headerCells:n}),Nt("tbody",{className:"vm-table-header",children:u.map((e=>Nt("tr",{className:"vm-table__row",children:i(e)},e.name)))})]})},Am=e=>{let{row:t,totalSeries:n,totalSeriesPrev:r,onActionClick:a}=e;const i=n>0?t.value/n*100:-1,o=r>0?t.valuePrev/r*100:-1,l=[i,o].some((e=>-1===e)),s=i-o,c=l?"":`${s.toFixed(2)}%`,u=()=>{a(t.name)};return Nt(Ct.FK,{children:[Nt("td",{className:"vm-table-cell",children:Nt("span",{className:"vm-link vm-link_colored",onClick:u,children:t.name})},t.name),Nt("td",{className:"vm-table-cell",children:[t.value,!!t.diff&&Nt(ba,{title:`in relation to the previous day: 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Mr("keydown",(e=>{const{code:t,ctrlKey:n,altKey:r}=e;"Space"===t&&(n||r)&&(e.preventDefault(),a({type:"SET_AUTOCOMPLETE_QUICK",payload:!0}))})),Nt("div",{className:Er()({"vm-additional-settings":!0,"vm-additional-settings_mobile":t}),children:[!(null!==n&&void 0!==n&&n.autocomplete)&&Nt(ba,{title:Nt(Ct.FK,{children:["Quick tip: ",Na]}),children:Nt(Ti,{label:"Autocomplete",value:r,onChange:()=>{a({type:"TOGGLE_AUTOCOMPLETE"})},fullWidth:t})}),Nt(Ti,{label:"Disable cache",value:i,onChange:()=>{l({type:"TOGGLE_NO_CACHE"})},fullWidth:t}),!(null!==n&&void 0!==n&&n.traceQuery)&&Nt(Ti,{label:"Trace query",value:o,onChange:()=>{l({type:"TOGGLE_QUERY_TRACING"})},fullWidth:t})]})},ml=e=>{const{isMobile:t}=ta(),n=(0,r.useRef)(null),{value:a,toggle:i,setFalse:o}=ma(!1);return t?Nt(Ct.FK,{children:[Nt("div",{ref:n,children:Nt(da,{variant:"outlined",startIcon:Nt(dr,{}),onClick:i,ariaLabel:"additional the query settings"})}),Nt(ha,{open:a,buttonRef:n,placement:"bottom-left",onClose:o,title:"Query 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    \n

    \n When looking to reduce the number of active series in your data source,\n you can start by inspecting individual metrics with high cardinality\n (i.e. that have lots of active time series associated with them),\n since that single metric contributes a large fraction of the series that make up your total series count.\n

    ",seriesCountByLabelName:"\n

    \n This table returns a list of the labels with the highest number of series.\n

    \n

    \n Use this table to identify labels that are storing dimensions with high cardinality\n (many different label values).\n

    \n

    \n It is recommended to choose labels such that they have a finite set of values,\n since every unique combination of key-value label pairs creates a new time series\n and therefore can dramatically increase the number of time series in your system.\n

    ",seriesCountByFocusLabelValue:"\n

    \n This table returns a list of unique label values per selected label.\n

    \n

    \n Use this table to identify label values that are storing per each selected series.\n

    ",labelValueCountByLabelName:"\n

    \n This table returns a list of labels with the highest number of the unique values.\n

    \n ",seriesCountByLabelValuePair:"\n

    \n This table returns a list of the label values pairs with the highest number of series.\n

    \n

    \n Use this table to identify unique label values pairs. This helps to identify same labels \n is applied to count timeseries in your system, since every unique combination of key-value label pairs \n creates a new time series and therefore can dramatically increase the number of time series in your system\n

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WITH expressions may improve this:"]}),Nt(pp,{code:'WITH (\n my_resource_utilization(free, limit, filters) = (limit{filters} - free{filters}) / limit{filters} * 100\n)\nmy_resource_utilization(\n node_memory_MemFree_bytes,\n node_memory_MemTotal_bytes,\n {instance=~"$node:$port",job=~"$job"},\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Now the template function my_resource_utilization() may be used for monitoring arbitrary resources - memory, CPU, network, storage, you name it."})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["Let's take another nice query from ",Nt(vp,{})," dashboard:"]}),Nt(pp,{code:'(\n (\n (\n count(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n )\n )\n -\n avg(\n sum by (mode) (rate(node_cpu_seconds_total{mode=\'idle\',instance=~"$node:$port",job=~"$job"}[5m]))\n )\n )\n *\n 100\n)\n /\ncount(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Do you understand what does this mess do? 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