mirror of
https://github.com/bluewave-labs/Checkmate.git
synced 2026-01-01 15:19:39 -06:00
117 lines
3.4 KiB
JavaScript
Executable File
117 lines
3.4 KiB
JavaScript
Executable File
const calculatePercentile = (arr, percentile) => {
|
|
const sorted = arr.slice().sort((a, b) => a.responseTime - b.responseTime);
|
|
const index = (percentile / 100) * (sorted.length - 1);
|
|
const lower = Math.floor(index);
|
|
const upper = lower + 1;
|
|
const weight = index % 1;
|
|
if (upper >= sorted.length) return sorted[lower].responseTime;
|
|
return sorted[lower].responseTime * (1 - weight) + sorted[upper].responseTime * weight;
|
|
};
|
|
|
|
const calculatePercentileUptimeDetails = (arr, percentile) => {
|
|
const sorted = arr.slice().sort((a, b) => a.avgResponseTime - b.avgResponseTime);
|
|
const index = (percentile / 100) * (sorted.length - 1);
|
|
const lower = Math.floor(index);
|
|
const upper = lower + 1;
|
|
const weight = index % 1;
|
|
if (upper >= sorted.length) return sorted[lower].avgResponseTime;
|
|
return (
|
|
sorted[lower].avgResponseTime * (1 - weight) + sorted[upper].avgResponseTime * weight
|
|
);
|
|
};
|
|
|
|
const NormalizeData = (checks, rangeMin, rangeMax) => {
|
|
if (checks.length > 1) {
|
|
// Get the 5th and 95th percentile
|
|
const min = calculatePercentile(checks, 0);
|
|
const max = calculatePercentile(checks, 95);
|
|
const normalizedChecks = checks.map((check) => {
|
|
const originalResponseTime = check.responseTime;
|
|
// Normalize the response time between 1 and 100
|
|
let normalizedResponseTime =
|
|
rangeMin + ((check.responseTime - min) * (rangeMax - rangeMin)) / (max - min);
|
|
|
|
// Put a floor on the response times so we don't have extreme outliers
|
|
// Better visuals
|
|
normalizedResponseTime = Math.max(
|
|
rangeMin,
|
|
Math.min(rangeMax, normalizedResponseTime)
|
|
);
|
|
return {
|
|
...check,
|
|
responseTime: normalizedResponseTime,
|
|
originalResponseTime: originalResponseTime,
|
|
};
|
|
});
|
|
|
|
return normalizedChecks;
|
|
} else {
|
|
return checks.map((check) => {
|
|
return { ...check, originalResponseTime: check.responseTime };
|
|
});
|
|
}
|
|
};
|
|
const NormalizeDataUptimeDetails = (checks, rangeMin, rangeMax) => {
|
|
if (checks.length > 1) {
|
|
// Get the 5th and 95th percentile
|
|
const min = calculatePercentileUptimeDetails(checks, 0);
|
|
const max = calculatePercentileUptimeDetails(checks, 95);
|
|
|
|
const normalizedChecks = checks.map((check) => {
|
|
const originalResponseTime = check.avgResponseTime;
|
|
// Normalize the response time between 1 and 100
|
|
let normalizedResponseTime =
|
|
rangeMin + ((check.avgResponseTime - min) * (rangeMax - rangeMin)) / (max - min);
|
|
|
|
// Put a floor on the response times so we don't have extreme outliers
|
|
// Better visuals
|
|
normalizedResponseTime = Math.max(
|
|
rangeMin,
|
|
Math.min(rangeMax, normalizedResponseTime)
|
|
);
|
|
return {
|
|
...check,
|
|
avgResponseTime: normalizedResponseTime,
|
|
originalAvgResponseTime: originalResponseTime,
|
|
};
|
|
});
|
|
|
|
return normalizedChecks;
|
|
} else {
|
|
return checks.map((check) => {
|
|
return { ...check, originalResponseTime: check.responseTime };
|
|
});
|
|
}
|
|
};
|
|
|
|
const safelyParseFloat = (value, defaultValue = 0) => {
|
|
if (value === null || typeof value === "undefined") {
|
|
return defaultValue;
|
|
}
|
|
const stringValue = String(value).trim();
|
|
|
|
if (typeof value === "number" && !isNaN(value)) {
|
|
return value;
|
|
}
|
|
|
|
if (stringValue === "") {
|
|
return defaultValue;
|
|
}
|
|
|
|
const parsedValue = parseFloat(stringValue);
|
|
|
|
if (isNaN(parsedValue) || !isFinite(parsedValue)) {
|
|
return defaultValue;
|
|
}
|
|
|
|
return parsedValue;
|
|
};
|
|
|
|
export {
|
|
safelyParseFloat,
|
|
calculatePercentile,
|
|
NormalizeData,
|
|
calculatePercentileUptimeDetails,
|
|
NormalizeDataUptimeDetails,
|
|
};
|