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LibWeb: Introduce Performance Timeline and its Performance functions
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16 changed files with 381 additions and 1 deletions
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@ -1,11 +1,13 @@
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/*
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* Copyright (c) 2022, Andrew Kaster <akaster@serenityos.org>
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* Copyright (c) 2023, Linus Groh <linusg@serenityos.org>
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* Copyright (c) 2023, Luke Wilde <lukew@serenityos.org>
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*
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* SPDX-License-Identifier: BSD-2-Clause
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*/
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#include <AK/Base64.h>
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#include <AK/QuickSort.h>
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#include <AK/String.h>
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#include <AK/Utf8View.h>
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#include <AK/Vector.h>
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@ -264,4 +266,81 @@ i32 WindowOrWorkerGlobalScopeMixin::run_timer_initialization_steps(TimerHandler
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return id;
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}
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// https://www.w3.org/TR/performance-timeline/#dfn-filter-buffer-by-name-and-type
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static ErrorOr<Vector<JS::Handle<PerformanceTimeline::PerformanceEntry>>> filter_buffer_by_name_and_type(Vector<JS::Handle<PerformanceTimeline::PerformanceEntry>> const& buffer, Optional<String> name, Optional<String> type)
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{
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// 1. Let result be an initially empty list.
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Vector<JS::Handle<PerformanceTimeline::PerformanceEntry>> result;
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// 2. For each PerformanceEntry entry in buffer, run the following steps:
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for (auto const& entry : buffer) {
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// 1. If type is not null and if type is not identical to entry's entryType attribute, continue to next entry.
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if (type.has_value() && type.value() != entry->entry_type())
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continue;
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// 2. If name is not null and if name is not identical to entry's name attribute, continue to next entry.
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if (name.has_value() && name.value() != entry->name())
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continue;
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// 3. append entry to result.
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TRY(result.try_append(entry));
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}
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// 3. Sort results's entries in chronological order with respect to startTime
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quick_sort(result, [](auto const& left_entry, auto const& right_entry) {
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return left_entry->start_time() < right_entry->start_time();
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});
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// 4. Return result.
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return result;
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}
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// https://www.w3.org/TR/performance-timeline/#dfn-filter-buffer-map-by-name-and-type
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ErrorOr<Vector<JS::Handle<PerformanceTimeline::PerformanceEntry>>> WindowOrWorkerGlobalScopeMixin::filter_buffer_map_by_name_and_type(Optional<String> name, Optional<String> type) const
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{
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// 1. Let result be an initially empty list.
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Vector<JS::Handle<PerformanceTimeline::PerformanceEntry>> result;
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// 2. Let map be the performance entry buffer map associated with the relevant global object of this.
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auto const& map = m_performance_entry_buffer_map;
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// 3. Let tuple list be an empty list.
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Vector<PerformanceTimeline::PerformanceEntryTuple const&> tuple_list;
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// 4. If type is not null, append the result of getting the value of entry on map given type as key to tuple list.
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// Otherwise, assign the result of get the values on map to tuple list.
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if (type.has_value()) {
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auto maybe_tuple = map.get(type.value());
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if (maybe_tuple.has_value())
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TRY(tuple_list.try_append(maybe_tuple.release_value()));
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} else {
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for (auto const& it : map)
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TRY(tuple_list.try_append(it.value));
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}
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// 5. For each tuple in tuple list, run the following steps:
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for (auto const& tuple : tuple_list) {
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// 1. Let buffer be tuple's performance entry buffer.
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auto const& buffer = tuple.performance_entry_buffer;
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// 2. If tuple's availableFromTimeline is false, continue to the next tuple.
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if (tuple.available_from_timeline == PerformanceTimeline::AvailableFromTimeline::No)
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continue;
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// 3. Let entries be the result of running filter buffer by name and type with buffer, name and type as inputs.
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auto entries = TRY(filter_buffer_by_name_and_type(buffer, name, type));
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// 4. For each entry in entries, append entry to result.
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TRY(result.try_extend(entries));
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}
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// 6. Sort results's entries in chronological order with respect to startTime
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quick_sort(result, [](auto const& left_entry, auto const& right_entry) {
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return left_entry->start_time() < right_entry->start_time();
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});
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// 7. Return result.
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return result;
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}
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}
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