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dev: Encapsulate the graphing bits in a web component
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@ -3,15 +3,15 @@
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graphs:
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- title: Node cpu
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source: http://heimdall:9001
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query: 'node_cpu_seconds_total{job="nodestats"}'
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query: 'sum by (instance)(irate(node_cpu_seconds_total{mode="system",job="nodestats"}[5m])) * 100'
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- title: Node memory
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source: http://heimdall:9001
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query: 'node_memory_MemFree_bytes{instance="andrew:9002",job="nodestats"}'
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query: 'node_memory_MemFree_bytes{job="nodestats"}'
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- title: Test Dasbboard 2
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graphs:
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- title: Node cpu
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source: http://heimdall:9001
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query: 'node_cpu_seconds_total{job="nodestats"}'
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query: 'sum by (instance)(irate(node_cpu_seconds_total{mode="system",job="nodestats"}[5m])) * 100'
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- title: Node memory
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source: http://heimdall:9001
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query: 'node_memory_MemFree_bytes{instance="andrew:9002",job="nodestats"}'
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query: 'node_memory_MemFree_bytes{,job="nodestats"}'
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@ -64,21 +64,10 @@ pub fn mk_api_routes(config: Arc<Vec<Dashboard>>) -> Router<Config> {
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pub fn graph_component(dash_idx: usize, graph_idx: usize, graph: &Graph) -> Markup {
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let graph_id = format!("graph-{}-{}", dash_idx, graph_idx);
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let graph_data_uri = format!("/api/dash/{}/graph/{}", dash_idx, graph_idx);
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// initialize the plot with Plotly.react
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// Update plot with Plotly.react which is more efficient
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let script = format!(
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"var graph{graph_idx} = new Timeseries('{uri}', '{graph_id}'); graph{graph_idx}.updateGraph();",
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uri = graph_data_uri,
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graph_id = graph_id,
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graph_idx = graph_idx,
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);
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html!(
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div {
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h2 { (graph.title) }
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script {
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(script)
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}
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div id=(graph_id) { }
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timeseries-graph uri=(graph_data_uri) id=(graph_id) { }
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}
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)
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}
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@ -134,6 +123,9 @@ pub async fn index(State(config): State<Config>) -> Markup {
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script src="/js/plotly.js" { }
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script src="/js/htmx.js" { }
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script src="/js/lib.js" { }
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template id="timeseries_template" {
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div;
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}
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(app(State(config.clone())).await)
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}
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}
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@ -1,16 +1,59 @@
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class Timeseries {
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class TimeseriesGraph extends HTMLElement {
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#uri;
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#title;
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#targetEl;
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//#width;
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//#height;
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#width;
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#height;
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constructor() {
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super();
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const root = this.attachShadow({ mode: "open" });
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var template = document.getElementById("timeseries_template");
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this.#width = 1000;
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this.height = 500;
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root.appendChild(template.content.cloneNode(true));
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}
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constructor(uri, targetEl, /** width, height **/) {
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this.#uri = uri;
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this.#targetEl = targetEl;
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//this.#width = width;
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//this.#height = height;
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static observedAttributes = ['uri', 'width', 'height'];
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attributeChanged(name, _oldValue, newValue) {
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switch (name) {
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case 'uri':
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this.#uri = newValue;
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break;
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case 'width':
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this.#width = newValue;
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break;
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case 'height':
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this.#height = newValue;
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break;
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default: // do nothing;
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break;
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}
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this.updateGraph();
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// TODO(zaphar): reset update timer as well
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}
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getTargetNode() {
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console.log("shadowroot: ", this.shadowRoot);
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return this.shadowRoot.firstChild;
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}
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connectedCallback() {
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// TODO(zaphar): Set up the timer loop to update graph data.
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this.#uri = this.getAttribute('uri');
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if (this.#uri) {
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this.updateGraph();
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}
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}
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disconnectedCallback() {
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// TODO(zaphar): Turn off the timer loop to update graph.
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}
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static elementName = "timeseries-graph";
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static registerElement() {
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if (!customElements.get(TimeseriesGraph.elementName)) {
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customElements.define(TimeseriesGraph.elementName, TimeseriesGraph);
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}
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}
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async fetchData() {
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@ -39,9 +82,11 @@ class Timeseries {
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traces.push(trace);
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}
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console.log("Traces: ", traces);
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Plotly.react(this.#targetEl, traces, { width: 500, height: 500 });
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Plotly.react(this.getTargetNode(), traces, { width: this.#width, height: this.#height });
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} else if (data.Scalar) {
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// The graph should be a single value
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}
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}
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}
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TimeseriesGraph.registerElement();
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