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/* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this file,
* You can obtain one at http://mozilla.org/MPL/2.0/. */
"use strict";
const { Task } = require("devtools/shared/task");
const PerformanceIO = require("devtools/client/performance/modules/io");
const RecordingUtils = require("devtools/shared/performance/recording-utils");
const { PerformanceRecordingCommon } = require("devtools/shared/performance/recording-common");
const { merge } = require("sdk/util/object");
/**
* Model for a wholistic profile, containing the duration, profiling data,
* frames data, timeline (marker, tick, memory) data, and methods to mark
* a recording as 'in progress' or 'finished'.
*/
const LegacyPerformanceRecording = function (options = {}) {
this._label = options.label || "";
this._console = options.console || false;
this._configuration = {
withMarkers: options.withMarkers || false,
withTicks: options.withTicks || false,
withMemory: options.withMemory || false,
withAllocations: options.withAllocations || false,
allocationsSampleProbability: options.allocationsSampleProbability || 0,
allocationsMaxLogLength: options.allocationsMaxLogLength || 0,
bufferSize: options.bufferSize || 0,
sampleFrequency: options.sampleFrequency || 1
};
};
LegacyPerformanceRecording.prototype = merge({
_profilerStartTime: 0,
_timelineStartTime: 0,
_memoryStartTime: 0,
/**
* Saves the current recording to a file.
*
* @param nsILocalFile file
* The file to stream the data into.
*/
exportRecording: Task.async(function* (file) {
let recordingData = this.getAllData();
yield PerformanceIO.saveRecordingToFile(recordingData, file);
}),
/**
* Sets up the instance with data from the PerformanceFront when
* starting a recording. Should only be called by PerformanceFront.
*/
_populate: function (info) {
// Times must come from the actor in order to be self-consistent.
// However, we also want to update the view with the elapsed time
// even when the actor is not generating data. To do this we get
// the local time and use it to compute a reasonable elapsed time.
this._localStartTime = Date.now();
this._profilerStartTime = info.profilerStartTime;
this._timelineStartTime = info.timelineStartTime;
this._memoryStartTime = info.memoryStartTime;
this._startingBufferStatus = {
position: info.position,
totalSize: info.totalSize,
generation: info.generation
};
this._recording = true;
this._systemHost = {};
this._systemClient = {};
this._markers = [];
this._frames = [];
this._memory = [];
this._ticks = [];
this._allocations = { sites: [], timestamps: [], frames: [], sizes: [] };
},
/**
* Called when the signal was sent to the front to no longer record more
* data, and begin fetching the data. There's some delay during fetching,
* even though the recording is stopped, the model is not yet completed until
* all the data is fetched.
*/
_onStoppingRecording: function (endTime) {
this._duration = endTime - this._localStartTime;
this._recording = false;
},
/**
* Sets results available from stopping a recording from PerformanceFront.
* Should only be called by PerformanceFront.
*/
_onStopRecording: Task.async(function* ({ profilerEndTime, profile, systemClient,
systemHost }) {
// Update the duration with the accurate profilerEndTime, so we don't have
// samples outside of the approximate duration set in `_onStoppingRecording`.
this._duration = profilerEndTime - this._profilerStartTime;
this._profile = profile;
this._completed = true;
// We filter out all samples that fall out of current profile's range
// since the profiler is continuously running. Because of this, sample
// times are not guaranteed to have a zero epoch, so offset the
// timestamps.
RecordingUtils.offsetSampleTimes(this._profile, this._profilerStartTime);
// Markers need to be sorted ascending by time, to be properly displayed
// in a waterfall view.
this._markers = this._markers.sort((a, b) => (a.start > b.start));
this._systemHost = systemHost;
this._systemClient = systemClient;
}),
/**
* Gets the profile's start time.
* @return number
*/
_getProfilerStartTime: function () {
return this._profilerStartTime;
},
/**
* Fired whenever the PerformanceFront emits markers, memory or ticks.
*/
_addTimelineData: function (eventName, ...data) {
// If this model isn't currently recording,
// ignore the timeline data.
if (!this.isRecording()) {
return;
}
let config = this.getConfiguration();
switch (eventName) {
// Accumulate timeline markers into an array. Furthermore, the timestamps
// do not have a zero epoch, so offset all of them by the start time.
case "markers": {
if (!config.withMarkers) {
break;
}
let [markers] = data;
RecordingUtils.offsetMarkerTimes(markers, this._timelineStartTime);
RecordingUtils.pushAll(this._markers, markers);
break;
}
// Accumulate stack frames into an array.
case "frames": {
if (!config.withMarkers) {
break;
}
let [, frames] = data;
RecordingUtils.pushAll(this._frames, frames);
break;
}
// Save the accumulated refresh driver ticks.
case "ticks": {
if (!config.withTicks) {
break;
}
let [, timestamps] = data;
this._ticks = timestamps;
break;
}
}
},
toString: () => "[object LegacyPerformanceRecording]"
}, PerformanceRecordingCommon);
exports.LegacyPerformanceRecording = LegacyPerformanceRecording;
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