| // Copyright (C) 2024 The Android Open Source Project |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| import {ColumnDef, Sorting} from '../../public/aggregation'; |
| import {Area, AreaSelection} from '../../public/selection'; |
| import {Engine} from '../../trace_processor/engine'; |
| import {CPUSS_ESTIMATE_TRACK_KIND} from '../../public/track_kinds'; |
| import {AreaSelectionAggregator} from '../../public/selection'; |
| import {exists} from '../../base/utils'; |
| |
| export class WattsonEstimateSelectionAggregator |
| implements AreaSelectionAggregator |
| { |
| readonly id = 'wattson_estimate_aggregation'; |
| |
| async createAggregateView(engine: Engine, area: AreaSelection) { |
| await engine.query(`drop view if exists ${this.id};`); |
| |
| const estimateTracks: string[] = []; |
| for (const trackInfo of area.tracks) { |
| if ( |
| trackInfo?.tags?.kind === CPUSS_ESTIMATE_TRACK_KIND && |
| exists(trackInfo.tags?.wattson) |
| ) { |
| estimateTracks.push(`${trackInfo.tags.wattson}`); |
| } |
| } |
| if (estimateTracks.length === 0) return false; |
| |
| const query = this.getEstimateTracksQuery(area, estimateTracks); |
| engine.query(query); |
| |
| return true; |
| } |
| |
| getEstimateTracksQuery( |
| area: Area, |
| estimateTracks: ReadonlyArray<string>, |
| ): string { |
| const duration = area.end - area.start; |
| let query = ` |
| INCLUDE PERFETTO MODULE wattson.curves.estimates; |
| |
| CREATE OR REPLACE PERFETTO TABLE _ui_selection_window AS |
| SELECT |
| ${area.start} as ts, |
| ${duration} as dur; |
| |
| DROP TABLE IF EXISTS _windowed_cpuss_estimate; |
| CREATE VIRTUAL TABLE _windowed_cpuss_estimate |
| USING |
| SPAN_JOIN(_ui_selection_window, _system_state_mw); |
| |
| CREATE VIEW ${this.id} AS |
| `; |
| |
| // Convert average power track to total energy in UI window, then divide by |
| // duration of window to get average estimated power of the window |
| estimateTracks.forEach((estimateTrack, i) => { |
| if (i != 0) { |
| query += `UNION ALL `; |
| } |
| query += ` |
| SELECT |
| '${estimateTrack}' as name, |
| ROUND(SUM(${estimateTrack}_mw * dur) / ${duration}, 2) as power, |
| ROUND(SUM(${estimateTrack}_mw * dur) / 1000000000, 2) as energy |
| FROM _windowed_cpuss_estimate |
| `; |
| }); |
| query += `;`; |
| |
| return query; |
| } |
| |
| getColumnDefinitions(): ColumnDef[] { |
| return [ |
| { |
| title: 'Name', |
| kind: 'STRING', |
| columnConstructor: Uint16Array, |
| columnId: 'name', |
| }, |
| { |
| title: 'Power (estimated mW)', |
| kind: 'NUMBER', |
| columnConstructor: Float64Array, |
| columnId: 'power', |
| sum: true, |
| }, |
| { |
| title: 'Energy (estimated mWs)', |
| kind: 'NUMBER', |
| columnConstructor: Float64Array, |
| columnId: 'energy', |
| sum: true, |
| }, |
| ]; |
| } |
| |
| async getExtra() {} |
| |
| getTabName() { |
| return 'Wattson estimates'; |
| } |
| |
| getDefaultSorting(): Sorting { |
| return {column: 'name', direction: 'ASC'}; |
| } |
| } |