Senior researcher & data scientist
async function createData() {
// const d = new Date();
// const t0 = d.getTime();
const ids = ["Atlas", "RIS", "RouteViews", "RIS&RouteViews"]; // Array of ids
let bias = {};
const responses = await Promise.all(
ids.map(async id => {
bias[id] = await get_imp_bias(id); // Send request for each id
})
);
let dataNew = [];
for (let i=0; i<Object.keys(bias_dimension_labels_new).length; i++) {
dataNew.push(Object(
{
'tag': Object.keys(bias_dimension_labels_new)[i],
'RIPE RIS': parseFloat(bias["RIS"][Object.values(bias_dimension_labels_new)[i]]),
'RIPE Atlas': parseFloat(bias["Atlas"][Object.values(bias_dimension_labels_new)[i]]),
'RouteViews': parseFloat(bias["RouteViews"][Object.values(bias_dimension_labels_new)[i]]),
'RIS&RouteViews': parseFloat(bias["RIS&RouteViews"][Object.values(bias_dimension_labels_new)[i]]),
'My 1st Custom Set': 0.001,
'My 2nd Custom Set': 0.001,
'My 3rd Custom Set': 0.001
}
)
)
}
// const d1 = new Date();
// const t1 = d1.getTime();
// console.log(t1-t0)
return dataNew;
}
function get_custom_bias(arg_custom_set, arg_set_numbers_type) {
let custom_data;
if (arg_custom_set.length > 0){
let mtype = (arg_set_numbers_type === "ASNs") ? "asn" : "probe";
custom_data = fetch("https://ai4netmon.csd.auth.gr/api/bias/"+mtype+"/?"+mtype+"="+arg_custom_set.replaceAll(",","&"+mtype+"=")).then((response) => response.json());
}
return custom_data
}
formattedData = selected_monitor_sets.map(m => (data_custom_new.filter(e => bias_dimensions.includes(e.tag)).map(e => ({axis:e.tag, value:e[m]}))))
data_custom_new = {
let x = JSON.parse(JSON.stringify(data_fetched));
const custom_sets_dict = {"My 1st Custom Set": custom_set,
"My 2nd Custom Set": custom_set1,
"My 3rd Custom Set": custom_set2
};
const ids = ["My 1st Custom Set", "My 2nd Custom Set", "My 3rd Custom Set"];
let bias = {};
const responses = await Promise.all(
ids.map(async id => {
bias[id] = await get_custom_bias(custom_sets_dict[id], set_numbers_type); // Send request for each id
})
);
for (let id=0; id<ids.length; id++) {
const current_custom_set = ids[id]
if (custom_sets_dict[current_custom_set].length > 0){
for (var i = 0; i < data_fetched.length; i++) {
let tt = data_fetched[i]["tag"];
let tk = bias_dimension_labels_new[tt];
let bias_dict;
bias_dict = bias[current_custom_set]["bias"]
x[i][current_custom_set] = bias_dict[tk]
}
}
}
return x;
}
monitor_sets = ["RIPE RIS", "RIPE Atlas", "RouteViews", "RIS&RouteViews", "My 1st Custom Set", "My 2nd Custom Set", "My 3rd Custom Set"]//data.columns.slice(1)
// radarLine = d3.lineRadial()
// .curve(d3["curveLinear"])
// .radius(d => rScale(d))
// .angle((d, i) => -angleSlice*i)
// rScale = d3.scaleLinear()
// .domain([0, maxValue])
// .range([0, radius])
// axisLabelFactor = 1.12
// wrapWidth = 60
// dotRadius = 4
// radius = (height-(margin*2)) / 2
// height = 600
// margin = 30
viewof monitor_set_selection = {
const select = Inputs.select(monitor_sets, {label: "Monitor Set", value: monitor_sets});
select.style.width = "100%";
return select;
}
viewof searched_data = {
const search_field = Inputs.search(data_monitor_set_formatted, {label: 'Filter by: Bias Dimension, Value or Difference'});
search_field.style.width = "100%";
return search_field;
}
// viewof searched_data = Inputs.search(data_monitor_set_formatted, {label: 'Filter by: Bias Dimension, Value or Difference'});
diff_only_arr = data_monitor_set_formatted.map(el => el['Difference']);
smallest_diff_widget = {
if (diff_only_arr.length !== 0) {
return html`
<p><strong>${Math.min(...diff_only_arr)}</strong> for <strong>${data_monitor_set_formatted.map(el => el['Difference'] == Math.min(...diff_only_arr) ? el['Bias Dimension'] : '')}</strong> with value: <strong>${data_monitor_set_formatted.map(el => el['Difference'] == Math.min(...diff_only_arr) ? el['Value'] : '')}</strong></p>
`
} else {
return html`
<p><em>No results</em></p>
`
}
}
largest_diff_widget = {
if (diff_only_arr.length !== 0) {
return html`
<p><strong>${Math.max(...diff_only_arr)}</strong> for <strong>${data_monitor_set_formatted.map(el => el['Difference'] == Math.max(...diff_only_arr) ? el['Bias Dimension'] : '')}</strong> with value: <strong>${data_monitor_set_formatted.map(el => el['Difference'] == Math.max(...diff_only_arr) ? el['Value'] : '')}</strong></p>
`
} else {
return html`
<p><em>No results</em></p>
`
}
}
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