// Copyright (C) 2021 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 m from 'mithril';
import {removeFalsyValues} from '../../base/array_utils';
import {AsyncLimiter} from '../../base/async_limiter';
import {assertExists} from '../../base/assert';
import {Time} from '../../base/time';
import {
  createAggregationTab,
  createIITable,
} from '../../components/aggregation_adapter';
import {sliceDistributionCellRenderers} from '../../components/details/slice_details';
import {openDistributionTab} from '../../components/distribution_panel';
import {
  metricsFromTableOrSubquery,
  type QueryFlamegraphMetric,
} from '../../components/query_flamegraph';
import {FlamegraphPanel} from '../../components/flamegraph_panel';
import type {MinimapRow} from '../../public/minimap';
import type {PerfettoPlugin} from '../../public/plugin';
import {type AreaSelection, areaSelectionsEqual} from '../../public/selection';
import type {Trace} from '../../public/trace';
import {COUNTER_TRACK_KIND, SLICE_TRACK_KIND} from '../../public/track_kinds';
import {getTrackName} from '../../public/utils';
import {TrackNode} from '../../public/workspace';
import {SourceDataset} from '../../trace_processor/dataset';
import {
  LONG,
  LONG_NULL,
  NUM,
  NUM_NULL,
  STR,
  STR_NULL,
} from '../../trace_processor/query_result';
import {escapeSearchQuery} from '../../trace_processor/query_utils';
import {Flamegraph, FLAMEGRAPH_STATE_SCHEMA} from '../../widgets/flamegraph';
import ProcessThreadGroupsPlugin from '../dev.perfetto.ProcessThreadGroups';
import StandardGroupsPlugin from '../dev.perfetto.StandardGroups';
import {CounterSelectionAggregator} from './counter_selection_aggregator';
import {COUNTER_TRACK_SCHEMAS} from './counter_tracks';
import {PivotTableTab} from './pivot_table_tab';
import {SliceSelectionAggregator} from './slice_selection_aggregator';
import {SLICE_TRACK_SCHEMAS} from './slice_tracks';
import {TraceProcessorCounterTrack} from './trace_processor_counter_track';
import {createTraceProcessorSliceTrack} from './trace_processor_slice_track';
import type {TopLevelTrackGroup, TrackGroupSchema} from './types';
import type {Store} from '../../base/store';
import {z} from 'zod';
import {
  createPerfettoIndex,
  createPerfettoTable,
} from '../../trace_processor/sql_utils';
import {ThreadSliceDetailsPanel} from '../../components/details/thread_slice_details_tab';
import {CallstackDetailsSection} from './callstack_details_section';

const TRACE_PROCESSOR_TRACK_PLUGIN_STATE_SCHEMA = z.object({
  areaSelectionFlamegraphState: FLAMEGRAPH_STATE_SCHEMA.optional(),
});

type TraceProcessorTrackPluginState = z.infer<
  typeof TRACE_PROCESSOR_TRACK_PLUGIN_STATE_SCHEMA
>;

function createDetailsPanel(trace: Trace, utid: number | null) {
  if (utid === null) {
    return undefined;
  }
  // TrackEvent can end up in this path if it's a "merged" thread track
  // with events from many different sources. In that case, show the callstack
  // panel.
  return () =>
    new ThreadSliceDetailsPanel(trace, {
      rightSections: [new CallstackDetailsSection(trace)],
    });
}

export default class TraceProcessorTrackPlugin implements PerfettoPlugin {
  static readonly id = 'dev.perfetto.TraceProcessorTrack';
  static readonly dependencies = [
    ProcessThreadGroupsPlugin,
    StandardGroupsPlugin,
  ];

  private groups = new Map<string, TrackNode>();
  private store?: Store<TraceProcessorTrackPluginState>;

  private migrateTraceProcessorTrackPluginState(
    init: unknown,
  ): TraceProcessorTrackPluginState {
    const result = TRACE_PROCESSOR_TRACK_PLUGIN_STATE_SCHEMA.safeParse(init);
    return result.data ?? {};
  }

  async onTraceLoad(ctx: Trace): Promise<void> {
    this.store = ctx.mountStore(TraceProcessorTrackPlugin.id, (init) =>
      this.migrateTraceProcessorTrackPluginState(init),
    );

    await this.addCounters(ctx);
    await this.addSlices(ctx);
    this.addAggregations(ctx);
    this.addMinimapContentProvider(ctx);
    this.addSearchProviders(ctx);
  }

  private async addCounters(ctx: Trace) {
    const result = await ctx.engine.query(`
      include perfetto module viz.threads;

      with tracks_summary as (
        select
          ct.type,
          ct.name,
          ct.id,
          ct.unit,
          ct.machine_id as machine,
          extract_arg(ct.dimension_arg_set_id, 'utid') as utid,
          extract_arg(ct.dimension_arg_set_id, 'upid') as upid,
          extract_arg(ct.dimension_arg_set_id, 'gpu') as gpu_id,
          extract_arg(ct.source_arg_set_id, 'description') as description
        from counter_track ct
        join _counter_track_summary using (id)
        order by ct.name
      )
      select
        s.*,
        thread.tid,
        thread.name as threadName,
        ifnull(p.pid, tp.pid) as pid,
        ifnull(p.name, tp.name) as processName,
        ifnull(thread.is_main_thread, 0) as isMainThread,
        ifnull(k.is_kernel_thread, 0) AS isKernelThread
      from tracks_summary s
      left join process p on s.upid = p.upid
      left join thread using (utid)
      left join _threads_with_kernel_flag k using (utid)
      left join process tp on thread.upid = tp.upid
      order by lower(s.name)
    `);

    const schemas = new Map(COUNTER_TRACK_SCHEMAS.map((x) => [x.type, x]));
    const it = result.iter({
      id: NUM,
      type: STR,
      name: STR_NULL,
      unit: STR_NULL,
      utid: NUM_NULL,
      upid: NUM_NULL,
      gpu_id: NUM_NULL,
      threadName: STR_NULL,
      processName: STR_NULL,
      tid: LONG_NULL,
      pid: LONG_NULL,
      isMainThread: NUM,
      isKernelThread: NUM,
      machine: NUM,
      description: STR_NULL,
    });
    for (; it.valid(); it.next()) {
      const {
        type,
        id: trackId,
        name,
        unit,
        utid,
        upid,
        threadName,
        processName,
        tid,
        pid,
        isMainThread,
        isKernelThread,
        machine,
        description,
      } = it;
      const schema = schemas.get(type);
      if (schema === undefined) {
        continue;
      }
      const {group, topLevelGroup} = schema;
      const trackName = getTrackName({
        name,
        tid,
        threadName,
        pid,
        processName,
        upid,
        utid,
        kind: COUNTER_TRACK_KIND,
        threadTrack: utid !== undefined,
        machine,
      });
      const uri = `/counter_${trackId}`;

      const maybeDescriptionRenderer = schema.description?.({
        name: trackName ?? undefined,
        description: description ?? undefined,
      });

      ctx.tracks.registerTrack({
        uri,
        description: maybeDescriptionRenderer ?? description ?? undefined,
        tags: {
          kinds: [COUNTER_TRACK_KIND],
          trackIds: [trackId],
          type: type,
          upid: upid ?? undefined,
          utid: utid ?? undefined,
          ...(isKernelThread === 1 && {kernelThread: true}),
        },
        renderer: new TraceProcessorCounterTrack({
          trace: ctx,
          uri,
          yMode: schema.mode,
          yRangeSharingKey: schema.shareYAxis ? it.type : undefined,
          unit: schema.unit ?? unit ?? undefined,
          trackId,
          trackName,
        }),
      });
      this.addTrack(
        ctx,
        topLevelGroup,
        group,
        upid,
        utid,
        new TrackNode({
          uri,
          name: trackName,
          sortOrder: utid !== undefined || upid !== undefined ? 30 : 0,
          chips: removeFalsyValues([
            isKernelThread === 0 && isMainThread === 1 && 'main thread',
          ]),
        }),
      );
    }
  }

  private async addSlices(ctx: Trace) {
    await ctx.engine.query(`
      include perfetto module viz.threads;
      include perfetto module viz.track_event_callstacks;
    `);

    // Step 1: Materialize track metadata
    // Can be cleaned up at the end of this function as only tables and
    // immediate queries depend on this.
    await using _ = await createPerfettoTable({
      name: '__tracks_to_create',
      engine: ctx.engine,
      as: `
        with grouped as materialized (
          select
            t.type,
            min(t.name) as name,
            lower(min(t.name)) as lower_name,
            extract_arg(t.dimension_arg_set_id, 'utid') as utid,
            extract_arg(t.dimension_arg_set_id, 'upid') as upid,
            extract_arg(t.dimension_arg_set_id, 'gpu') as gpu_id,
            extract_arg(t.source_arg_set_id, 'description') as description,
            min(t.id) minTrackId,
            group_concat(t.id) as trackIds,
            count() as trackCount,
            max(cs.track_id IS NOT NULL) as hasCallstacks,
            CASE t.type
              WHEN 'thread_execution' THEN 0
              WHEN 'art_method_tracing' THEN 1
              ELSE 99
            END as track_rank
          from _slice_track_summary s
          join track t using (id)
          left join _track_event_tracks_with_callstacks cs on cs.track_id = t.id
          group by type, upid, utid, gpu_id, t.track_group_id, ifnull(t.track_group_id, t.id)
        )
        select
          s.type,
          s.name,
          s.utid,
          ifnull(s.upid, tp.upid) as upid,
          s.gpu_id,
          s.minTrackId as minTrackId,
          s.trackIds as trackIds,
          s.trackCount,
          __max_layout_depth(s.trackCount, s.trackIds) as maxDepth,
          thread.tid,
          thread.name as threadName,
          ifnull(p.pid, tp.pid) as pid,
          ifnull(p.name, tp.name) as processName,
          ifnull(thread.is_main_thread, 0) as isMainThread,
          ifnull(k.is_kernel_thread, 0) AS isKernelThread,
          s.description AS description,
          s.hasCallstacks,
          s.track_rank,
          s.lower_name
        from grouped s
        left join process p on s.upid = p.upid
        left join thread using (utid)
        left join _threads_with_kernel_flag k using (utid)
        left join process tp on thread.upid = tp.upid
        order by s.track_rank, lower_name
      `,
    });

    // Step 2: Create shared depth table by joining with
    // experimental_slice_layout
    await createPerfettoTable({
      name: '__tp_track_layout_depth',
      engine: ctx.engine,
      as: `
        select id, minTrackId, layout_depth as depth
        from __tracks_to_create t
        join experimental_slice_layout(t.trackIds) s
        where trackCount > 1
        order by s.id
      `,
    });

    // Step 3: Query materialized table and create tracks
    const result = await ctx.engine.query('select * from __tracks_to_create');

    const schemas = new Map(SLICE_TRACK_SCHEMAS.map((x) => [x.type, x]));
    const it = result.iter({
      type: STR,
      name: STR_NULL,
      utid: NUM_NULL,
      upid: NUM_NULL,
      gpu_id: NUM_NULL,
      trackIds: STR,
      maxDepth: NUM,
      tid: LONG_NULL,
      threadName: STR_NULL,
      pid: LONG_NULL,
      processName: STR_NULL,
      isMainThread: NUM,
      isKernelThread: NUM,
      hasCallstacks: NUM,
      description: STR_NULL,
      track_rank: NUM,
      lower_name: STR_NULL,
    });
    for (; it.valid(); it.next()) {
      const {
        trackIds: rawTrackIds,
        type,
        name,
        maxDepth,
        utid,
        upid,
        threadName,
        processName,
        tid,
        pid,
        isMainThread,
        isKernelThread,
        hasCallstacks,
        description,
      } = it;
      const schema = schemas.get(type);
      if (schema === undefined) {
        continue;
      }
      const trackIds = rawTrackIds.split(',').map((v) => Number(v));
      const {group, topLevelGroup} = schema;
      const trackName = getTrackName({
        name,
        tid,
        threadName,
        pid,
        processName,
        upid,
        utid,
        kind: SLICE_TRACK_KIND,
        threadTrack: utid !== undefined,
      });
      const uri = `/slice_${trackIds[0]}`;

      // Apply displayName function from schema if available
      const displayName = schema.displayName
        ? schema.displayName(trackName)
        : trackName;

      const maybeDescriptionRenderer = schema.description?.({
        name: trackName ?? undefined,
        description: description ?? undefined,
      });

      ctx.tracks.registerTrack({
        uri,
        description: maybeDescriptionRenderer ?? description ?? undefined,
        tags: {
          kinds: [SLICE_TRACK_KIND],
          trackIds: trackIds,
          type: type,
          upid: upid ?? undefined,
          utid: utid ?? undefined,
          ...(isKernelThread === 1 && {kernelThread: true}),
          hasCallstacks: hasCallstacks === 1,
        },
        renderer: await createTraceProcessorSliceTrack({
          trace: ctx,
          uri,
          maxDepth,
          trackIds,
          detailsPanel: createDetailsPanel(ctx, utid),
          depthTableName:
            trackIds.length > 1 ? '__tp_track_layout_depth' : undefined,
        }),
      });
      this.addTrack(
        ctx,
        topLevelGroup,
        group,
        upid,
        utid,

        new TrackNode({
          uri,
          name: displayName,
          sortOrder: utid !== undefined || upid !== undefined ? 20 : 0,
          chips: removeFalsyValues([
            isKernelThread === 0 && isMainThread === 1 && 'main thread',
          ]),
        }),
      );
    }
  }

  private addTrack(
    ctx: Trace,
    topLevelGroup: TopLevelTrackGroup,
    group: string | TrackGroupSchema | undefined,
    upid: number | null,
    utid: number | null,
    track: TrackNode,
  ) {
    switch (topLevelGroup) {
      case 'PROCESS': {
        const process = assertExists(
          ctx.plugins
            .getPlugin(ProcessThreadGroupsPlugin)
            .getGroupForProcess(assertExists(upid)),
        );
        this.getGroupByName(process, group, upid).addChildInOrder(track);
        break;
      }
      case 'THREAD': {
        const thread = assertExists(
          ctx.plugins
            .getPlugin(ProcessThreadGroupsPlugin)
            .getGroupForThread(assertExists(utid)),
        );
        this.getGroupByName(thread, group, utid).addChildInOrder(track);
        break;
      }
      case undefined: {
        this.getGroupByName(
          ctx.defaultWorkspace.tracks,
          group,
          upid,
        ).addChildInOrder(track);
        break;
      }
      default: {
        const standardGroupsPlugin =
          ctx.plugins.getPlugin(StandardGroupsPlugin);
        const standardGroup = standardGroupsPlugin.getOrCreateStandardGroup(
          ctx.defaultWorkspace,
          topLevelGroup,
        );

        this.getGroupByName(standardGroup, group, null).addChildInOrder(track);
        break;
      }
    }
  }

  private getGroupByName(
    node: TrackNode,
    group: string | TrackGroupSchema | undefined,
    scopeId: number | null,
  ) {
    if (group === undefined) {
      return node;
    }
    // This is potentially dangerous - ids MUST be unique within the entire
    // workspace - this seems to indicate that we could end up duplicating ids in
    // different nodes.
    const name = typeof group === 'string' ? group : group.name;
    const expanded =
      typeof group === 'string' ? false : group.expanded ?? false;
    const groupId = `tp_group_${scopeId}_${name.toLowerCase().replace(' ', '_')}`;
    const groupNode = this.groups.get(groupId);
    if (groupNode) {
      return groupNode;
    }
    const newGroup = new TrackNode({
      uri: `/${group}`,
      isSummary: true,
      name,
      collapsed: !expanded,
    });
    node.addChildInOrder(newGroup);
    this.groups.set(groupId, newGroup);
    return newGroup;
  }

  private addAggregations(ctx: Trace) {
    ctx.selection.registerAreaSelectionTab(
      createAggregationTab(ctx, new CounterSelectionAggregator()),
    );
    ctx.selection.registerAreaSelectionTab(
      createAggregationTab(ctx, new SliceSelectionAggregator(ctx)),
    );
    ctx.selection.registerAreaSelectionTab(new PivotTableTab(ctx));
    ctx.selection.registerAreaSelectionTab(
      this.createSliceFlameGraphPanel(ctx),
    );
  }

  private createSliceFlameGraphPanel(trace: Trace) {
    let previousSelection: AreaSelection | undefined;
    let computed:
      | {
          metrics: ReadonlyArray<QueryFlamegraphMetric>;
          dependencies: ReadonlyArray<AsyncDisposable>;
        }
      | undefined;
    let isLoading = false;
    const limiter = new AsyncLimiter();

    return {
      id: 'slice_flamegraph_selection',
      name: 'Slice Flamegraph',
      render: (selection: AreaSelection) => {
        const selectionChanged =
          previousSelection === undefined ||
          !areaSelectionsEqual(previousSelection, selection);
        previousSelection = selection;
        if (selectionChanged) {
          limiter.schedule(async () => {
            computed = undefined;
            isLoading = true;
            computed = await this.computeSliceFlamegraph(trace, selection);
            isLoading = false;
          });
        }
        if (computed === undefined && !isLoading) {
          return undefined;
        }
        const store = assertExists(this.store);
        return {
          isLoading,
          content:
            computed &&
            m(FlamegraphPanel, {
              trace,
              metrics: computed.metrics,
              dependencies: computed.dependencies,
              state: store.state.areaSelectionFlamegraphState,
              onStateChange: (state) => {
                store.edit((draft) => {
                  draft.areaSelectionFlamegraphState = state;
                });
              },
            }),
        };
      },
    };
  }

  private async computeSliceFlamegraph(
    trace: Trace,
    currentSelection: AreaSelection,
  ): Promise<
    | {
        metrics: ReadonlyArray<QueryFlamegraphMetric>;
        dependencies: ReadonlyArray<AsyncDisposable>;
      }
    | undefined
  > {
    const trackIds = [];
    for (const trackInfo of currentSelection.tracks) {
      if (!trackInfo?.tags?.kinds?.includes(SLICE_TRACK_KIND)) {
        continue;
      }
      if (trackInfo.tags?.trackIds === undefined) {
        continue;
      }
      trackIds.push(...trackInfo.tags.trackIds);
    }
    if (trackIds.length === 0) {
      return undefined;
    }

    const dataset = new SourceDataset({
      src: `
        select
          id,
          dur,
          ts,
          parent_id,
          name
        from slice
        where track_id in (${trackIds.join(',')})
      `,
      schema: {
        id: NUM,
        ts: LONG,
        dur: LONG,
        parent_id: NUM_NULL,
        name: STR_NULL,
      },
    });

    const iiTable = await createIITable(
      trace.engine,
      dataset,
      currentSelection.start,
      currentSelection.end,
    );
    // Will be automatically cleaned up when `iiTable` is dropped.
    await createPerfettoIndex({
      engine: trace.engine,
      on: `${iiTable.name}(parent_id)`,
    });

    // Reuse the flamegraph's source dataset and add a time-window filter so
    // "Find matching slices" reflects the same events the user is looking at.
    const distributionDataset = new SourceDataset({
      src: `
        select * from (${dataset.query()})
        where ts < ${currentSelection.end}
          and ts + dur > ${currentSelection.start}
      `,
      schema: dataset.schema,
    });

    const metrics = metricsFromTableOrSubquery({
      tableOrSubquery: `(
        select *
        from _viz_slice_ancestor_agg!(
          (
            select s.id, s.dur
            from ${iiTable.name} s
            left join ${iiTable.name} t on t.parent_id = s.id
            where t.id is null
          ),
          ${iiTable.name}
        )
      )`,
      tableMetrics: [
        {
          name: 'Duration',
          unit: 'ns',
          columnName: 'self_dur',
        },
        {
          name: 'Samples',
          unit: '',
          columnName: 'self_count',
        },
      ],
      dependencySql: 'include perfetto module viz.slices;',
      aggregatableProperties: [
        {
          name: 'simple_count',
          displayName: 'Slice Count',
          mergeAggregation: 'SUM',
          isVisible: (_) => true,
        },
      ],
      optionalActions: [
        {
          name: 'Find matching slices',
          execute: ({node}) => {
            if (node === undefined) return;
            openDistributionTab(trace, {
              title: `${node.name} (in selection)`,
              dataset: distributionDataset,
              filter: {col: 'name', eq: node.name},
              valueColumn: 'dur',
              idColumn: 'id',
              sqlTable: 'slice',
              displayColumns: ['ts', 'dur'],
              cellRenderers: sliceDistributionCellRenderers(trace),
            });
          },
        },
      ],
      nameColumnLabel: 'Slice Name',
    });
    const store = assertExists(this.store);
    store.edit((draft) => {
      draft.areaSelectionFlamegraphState = Flamegraph.updateState(
        draft.areaSelectionFlamegraphState,
        metrics,
      );
    });
    return {metrics, dependencies: [iiTable]};
  }

  private addMinimapContentProvider(ctx: Trace) {
    ctx.minimap.registerContentProvider({
      priority: 1,
      getData: async (timeSpan, resolution) => {
        const traceSpan = timeSpan.toTimeSpan();
        const sliceResult = await ctx.engine.query(`
              SELECT
                bucket,
                upid,
                IFNULL(SUM(utid_sum) / CAST(${resolution} AS FLOAT), 0) AS load
              FROM thread
              INNER JOIN (
                SELECT
                  IFNULL(CAST((ts - ${traceSpan.start}) / ${resolution} AS INT), 0) AS bucket,
                  SUM(dur) AS utid_sum,
                  utid
                FROM slice
                INNER JOIN thread_track ON slice.track_id = thread_track.id
                GROUP BY
                  bucket,
                  utid
              ) USING(utid)
              WHERE
                upid IS NOT NULL
              GROUP BY
                bucket,
                upid;
            `);

        const slicesData = new Map<number, MinimapRow>();
        const it = sliceResult.iter({bucket: LONG, upid: NUM, load: NUM});
        for (; it.valid(); it.next()) {
          const bucket = it.bucket;
          const upid = it.upid;
          const load = it.load;

          const ts = Time.add(traceSpan.start, resolution * bucket);

          let loadArray = slicesData.get(upid);
          if (loadArray === undefined) {
            loadArray = [];
            slicesData.set(upid, loadArray);
          }
          loadArray.push({ts, dur: resolution, load});
        }

        // Sort rows to match timeline ordering using actual workspace track order
        const processGroupsPlugin = ctx.plugins.getPlugin(
          ProcessThreadGroupsPlugin,
        );
        const topLevelTracks = ctx.defaultWorkspace.children;
        const upidOrderMap = new Map<number, number>();

        // Get the position of each upid's process group in the top-level tracks
        // Only include upids that have corresponding track groups
        for (const upid of slicesData.keys()) {
          const processGroup = processGroupsPlugin.getGroupForProcess(upid);
          if (processGroup) {
            const orderIndex = topLevelTracks.indexOf(processGroup);
            if (orderIndex >= 0) {
              upidOrderMap.set(upid, orderIndex);
            }
          }
        }

        // Create rows array and sort by workspace track order
        // Only process upids that have valid track groups
        const rows: MinimapRow[] = [];
        const sortedUpids = Array.from(upidOrderMap.keys()).sort((a, b) => {
          const orderA = assertExists(upidOrderMap.get(a));
          const orderB = assertExists(upidOrderMap.get(b));
          return orderA - orderB;
        });

        for (const upid of sortedUpids) {
          const row = slicesData.get(upid);
          if (row) {
            rows.push(row);
          }
        }
        return rows;
      },
    });
  }

  private addSearchProviders(ctx: Trace) {
    ctx.search.registerSearchProvider({
      name: 'Slices by name',
      selectTracks(tracks) {
        return tracks
          .filter((t) => t.tags?.kinds?.includes(SLICE_TRACK_KIND))
          .filter((t) =>
            t.renderer.getDataset?.()?.implements({name: STR_NULL}),
          );
      },
      async getSearchFilter(searchTerm) {
        return {
          where: `name GLOB ${escapeSearchQuery(searchTerm)}`,
          columns: {name: STR_NULL},
        };
      },
    });

    ctx.search.registerSearchProvider({
      name: 'Slices by id',
      selectTracks(tracks) {
        return tracks
          .filter((t) => t.tags?.kinds?.includes(SLICE_TRACK_KIND))
          .filter((t) => t.renderer.getDataset?.()?.implements({id: NUM_NULL}));
      },
      async getSearchFilter(searchTerm) {
        // Attempt to parse the search term as an integer.
        const id = Number(searchTerm);

        // Note: Number.isInteger also returns false for NaN.
        if (!Number.isInteger(id)) {
          return undefined;
        }

        return {
          where: `id = ${searchTerm}`,
        };
      },
    });

    ctx.search.registerSearchProvider({
      name: 'Slice arguments',
      selectTracks(tracks) {
        return tracks
          .filter((t) => t.tags?.kinds?.includes(SLICE_TRACK_KIND))
          .filter((t) =>
            t.renderer.getDataset?.()?.implements({arg_set_id: NUM_NULL}),
          );
      },
      async getSearchFilter(searchTerm) {
        const searchLiteral = escapeSearchQuery(searchTerm);
        return {
          join: `args USING(arg_set_id)`,
          where: `
            args.string_value GLOB ${searchLiteral}
            OR
            args.key GLOB ${searchLiteral}
          `,
          columns: {arg_set_id: NUM_NULL},
        };
      },
    });
  }
}
