NET-Web-API-w-Angular/my-app/node_modules/hdr-histogram-js/dist/HistogramLogReader.js

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7 KiB
JavaScript
Executable file

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.listTags = void 0;
/*
* This is a TypeScript port of the original Java version, which was written by
* Gil Tene as described in
* https://github.com/HdrHistogram/HdrHistogram
* and released to the public domain, as explained at
* http://creativecommons.org/publicdomain/zero/1.0/
*/
const Histogram_1 = require("./Histogram");
const encoding_1 = require("./encoding");
const TAG_PREFIX = "Tag=";
const TAG_PREFIX_LENGTH = "Tag=".length;
/**
* A histogram log reader.
* <p>
* Histogram logs are used to capture full fidelity, per-time-interval
* histograms of a recorded value.
* <p>
* For example, a histogram log can be used to capture high fidelity
* reaction-time logs for some measured system or subsystem component.
* Such a log would capture a full reaction time histogram for each
* logged interval, and could be used to later reconstruct a full
* HdrHistogram of the measured reaction time behavior for any arbitrary
* time range within the log, by adding [only] the relevant interval
* histograms.
* <h3>Histogram log format:</h3>
* A histogram log file consists of text lines. Lines beginning with
* the "#" character are optional and treated as comments. Lines
* containing the legend (starting with "Timestamp") are also optional
* and ignored in parsing the histogram log. All other lines must
* be valid interval description lines. Text fields are delimited by
* commas, spaces.
* <p>
* A valid interval description line contains an optional Tag=tagString
* text field, followed by an interval description.
* <p>
* A valid interval description must contain exactly four text fields:
* <ul>
* <li>StartTimestamp: The first field must contain a number parse-able as a Double value,
* representing the start timestamp of the interval in seconds.</li>
* <li>intervalLength: The second field must contain a number parse-able as a Double value,
* representing the length of the interval in seconds.</li>
* <li>Interval_Max: The third field must contain a number parse-able as a Double value,
* which generally represents the maximum value of the interval histogram.</li>
* <li>Interval_Compressed_Histogram: The fourth field must contain a text field
* parse-able as a Base64 text representation of a compressed HdrHistogram.</li>
* </ul>
* The log file may contain an optional indication of a starting time. Starting time
* is indicated using a special comments starting with "#[StartTime: " and followed
* by a number parse-able as a double, representing the start time (in seconds)
* that may be added to timestamps in the file to determine an absolute
* timestamp (e.g. since the epoch) for each interval.
*/
class HistogramLogReader {
constructor(logContent, bitBucketSize = 32, useWebAssembly = false) {
this.lines = splitLines(logContent);
this.currentLineIndex = 0;
this.bitBucketSize = bitBucketSize;
this.useWebAssembly = useWebAssembly;
}
/**
* Read the next interval histogram from the log. Returns a Histogram object if
* an interval line was found, or null if not.
* <p>Upon encountering any unexpected format errors in reading the next interval
* from the file, this method will return a null.
* @return a DecodedInterval, or a null if no appropriate interval found
*/
nextIntervalHistogram(rangeStartTimeSec = 0, rangeEndTimeSec = Number.MAX_VALUE) {
while (this.currentLineIndex < this.lines.length) {
const currentLine = this.lines[this.currentLineIndex];
this.currentLineIndex++;
if (currentLine.startsWith("#[StartTime:")) {
this.parseStartTimeFromLine(currentLine);
}
else if (currentLine.startsWith("#[BaseTime:")) {
this.parseBaseTimeFromLine(currentLine);
}
else if (currentLine.startsWith("#") ||
currentLine.startsWith('"StartTimestamp"')) {
// skip legend & meta data for now
}
else if (currentLine.includes(",")) {
const tokens = currentLine.split(",");
const [firstToken] = tokens;
let tag;
if (firstToken.startsWith(TAG_PREFIX)) {
tag = firstToken.substring(TAG_PREFIX_LENGTH);
tokens.shift();
}
else {
tag = Histogram_1.NO_TAG;
}
const [rawLogTimeStampInSec, rawIntervalLengthSec, , base64Histogram,] = tokens;
const logTimeStampInSec = Number.parseFloat(rawLogTimeStampInSec);
if (!this.baseTimeSec) {
// No explicit base time noted. Deduce from 1st observed time (compared to start time):
if (logTimeStampInSec < this.startTimeSec - 365 * 24 * 3600.0) {
// Criteria Note: if log timestamp is more than a year in the past (compared to
// StartTime), we assume that timestamps in the log are not absolute
this.baseTimeSec = this.startTimeSec;
}
else {
// Timestamps are absolute
this.baseTimeSec = 0.0;
}
}
if (rangeEndTimeSec < logTimeStampInSec) {
return null;
}
if (logTimeStampInSec < rangeStartTimeSec) {
continue;
}
const histogram = encoding_1.decodeFromCompressedBase64(base64Histogram, this.bitBucketSize, this.useWebAssembly);
histogram.startTimeStampMsec =
(this.baseTimeSec + logTimeStampInSec) * 1000;
const intervalLengthSec = Number.parseFloat(rawIntervalLengthSec);
histogram.endTimeStampMsec =
(this.baseTimeSec + logTimeStampInSec + intervalLengthSec) * 1000;
histogram.tag = tag;
return histogram;
}
}
return null;
}
parseStartTimeFromLine(line) {
this.startTimeSec = Number.parseFloat(line.split(" ")[1]);
}
parseBaseTimeFromLine(line) {
this.baseTimeSec = Number.parseFloat(line.split(" ")[1]);
}
}
const splitLines = (logContent) => logContent.split(/\r\n|\r|\n/g);
const shouldIncludeNoTag = (lines) => lines.find((line) => !line.startsWith("#") &&
!line.startsWith('"') &&
!line.startsWith(TAG_PREFIX) &&
line.includes(","));
exports.listTags = (content) => {
const lines = splitLines(content);
const tags = lines
.filter((line) => line.includes(",") && line.startsWith(TAG_PREFIX))
.map((line) => line.substring(TAG_PREFIX_LENGTH, line.indexOf(",")));
const tagsWithoutDuplicates = new Set(tags);
const result = Array.from(tagsWithoutDuplicates);
if (shouldIncludeNoTag(lines)) {
result.unshift("NO TAG");
}
return result;
};
exports.default = HistogramLogReader;
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