     1→<!--
     2→  @component Main cluster status view component; renders current system-usage information
     3→
     4→  Properties:
     5→  - `presetCluster String`: The cluster to show status information for
     6→  - `presetSubCluster String?`: The subCluster to show status information for [Default: null]
     7→  - `useCbColors Bool?`: Use colorblind friendly colors [Default: false]
     8→  - `useAltColors Bool?`: Use alternative color set [Default: false]
     9→-->
    10→
    11→<script>
    12→  import {
    13→    Row,
    14→    Col,
    15→    Spinner,
    16→    Card,
    17→    Table,
    18→    Icon,
    19→    Tooltip,
    20→    Input,
    21→    InputGroup,
    22→    InputGroupText,
    23→  } from "@sveltestrap/sveltestrap";
    24→  import { queryStore, gql, getContextClient } from "@urql/svelte";
    25→  import {
    26→    scramble,
    27→    scrambleNames,
    28→    convert2uplot,
    29→  } from "../../generic/utils.js";
    30→  import Pie, { colors } from "../../generic/plots/Pie.svelte";
    31→  import Histogram from "../../generic/plots/Histogram.svelte";
    32→  import Refresher from "../../generic/helper/Refresher.svelte";
    33→
    34→  /* Svelte 5 Props */
    35→  let {
    36→    presetCluster,
    37→    presetSubCluster = null,
    38→    useCbColors = false,
    39→    useAltColors = false,
    40→    loadMe = false,
    41→  } = $props();
    42→
    43→  /* Const Init */
    44→  const client = getContextClient();
    45→  const durationBinOptions = ["1m", "10m", "1h", "6h", "12h"];
    46→
    47→  /* State Init */
    48→  let pagingState = $state({ page: 1, itemsPerPage: 10 }); // Top 10
    49→  let selectedHistograms = $state([]); // Dummy For Refresh
    50→  let colWidthJobs = $state(0);
    51→  let colWidthNodes = $state(0);
    52→  let colWidthAccs = $state(0);
    53→  let numDurationBins = $state("1h");
    54→
    55→  /* Derived */
    56→  const canvasPrefix = $derived(
    57→    `${presetCluster}-${presetSubCluster ? presetSubCluster : ""}`,
    58→  );
    59→
    60→  const statusFilter = $derived(
    61→    presetSubCluster
    62→      ? [
    63→          { cluster: { eq: presetCluster } },
    64→          { subCluster: { eq: presetSubCluster } },
    65→          { state: ["running"] },
    66→        ]
    67→      : [{ cluster: { eq: presetCluster } }, { state: ["running"] }],
    68→  );
    69→  const topStatsQuery = $derived(
    70→    loadMe
    71→      ? queryStore({
    72→          client: client,
    73→          query: gql`
    74→            query ($filter: [JobFilter!]!) {
    75→              allUsers: jobsStatistics(
    76→                filter: $filter
    77→                groupBy: USER
    78→              ) {
    79→                id
    80→                name
    81→                totalJobs
    82→                totalNodes
    83→                totalAccs
    84→              }
    85→              allProjects: jobsStatistics(
    86→                filter: $filter
    87→                groupBy: PROJECT
    88→              ) {
    89→                id
    90→                totalJobs
    91→                totalNodes
    92→                totalAccs
    93→              }
    94→            }
    95→          `,
    96→          variables: {
    97→            filter: statusFilter,
    98→          },
    99→          requestPolicy: "network-only",
   100→        })
   101→      : null,
   102→  );
   103→
   104→  // Sort + slice top-10 from the full results in the frontend
   105→  const topUserJobs = $derived(
   106→    $topStatsQuery?.data?.allUsers
   107→      ?.toSorted((a, b) => b.totalJobs - a.totalJobs)
   108→      .slice(0, 10) ?? [],
   109→  );
   110→  const topProjectJobs = $derived(
   111→    $topStatsQuery?.data?.allProjects
   112→      ?.toSorted((a, b) => b.totalJobs - a.totalJobs)
   113→      .slice(0, 10) ?? [],
   114→  );
   115→  const topUserNodes = $derived(
   116→    $topStatsQuery?.data?.allUsers
   117→      ?.toSorted((a, b) => b.totalNodes - a.totalNodes)
   118→      .slice(0, 10) ?? [],
   119→  );
   120→  const topProjectNodes = $derived(
   121→    $topStatsQuery?.data?.allProjects
   122→      ?.toSorted((a, b) => b.totalNodes - a.totalNodes)
   123→      .slice(0, 10) ?? [],
   124→  );
   125→  const topUserAccs = $derived(
   126→    $topStatsQuery?.data?.allUsers
   127→      ?.toSorted((a, b) => b.totalAccs - a.totalAccs)
   128→      .slice(0, 10) ?? [],
   129→  );
   130→  const topProjectAccs = $derived(
   131→    $topStatsQuery?.data?.allProjects
   132→      ?.toSorted((a, b) => b.totalAccs - a.totalAccs)
   133→      .slice(0, 10) ?? [],
   134→  );
   135→
   136→  // Note: nodeMetrics are requested on configured $timestep resolution
   137→  const nodeStatusQuery = $derived(
   138→    loadMe
   139→      ? queryStore({
   140→          client: client,
   141→          query: gql`
   142→            query (
   143→              $filter: [JobFilter!]!
   144→              $selectedHistograms: [String!]
   145→              $numDurationBins: String
   146→            ) {
   147→              jobsStatistics(
   148→                filter: $filter
   149→                metrics: $selectedHistograms
   150→                numDurationBins: $numDurationBins
   151→              ) {
   152→                histDuration {
   153→                  count
   154→                  value
   155→                }
   156→                histNumNodes {
   157→                  count
   158→                  value
   159→                }
   160→                histNumAccs {
   161→                  count
   162→                  value
   163→                }
   164→              }
   165→            }
   166→          `,
   167→          variables: {
   168→            filter: statusFilter,
   169→            selectedHistograms: selectedHistograms, // No Metrics requested for node hardware stats
   170→            numDurationBins: numDurationBins,
   171→          },
   172→          requestPolicy: "network-only",
   173→        })
   174→      : null,
   175→  );
   176→
   177→  /* Functions */
   178→  function legendColors(targetIdx) {
   179→    // Reuses first color if targetIdx overflows
   180→    let c;
   181→    if (useCbColors) {
   182→      c = [...colors["colorblind"]];
   183→    } else if (useAltColors) {
   184→      c = [...colors["alternative"]];
   185→    } else {
   186→      c = [...colors["default"]];
   187→    }
   188→    return c[(c.length + targetIdx) % c.length];
   189→  }
   190→</script>
   191→
   192→<!-- Refresher and space for other options -->
   193→<Row class="justify-content-between">
   194→  <Col class="mb-2 mb-md-0" xs="12" md="5" lg="4" xl="3">
   195→    <InputGroup>
   196→      <InputGroupText>
   197→        <Icon name="bar-chart-line-fill" />
   198→      </InputGroupText>
   199→      <InputGroupText>Duration Bin Size</InputGroupText>
   200→      <Input type="select" bind:value={numDurationBins}>


     1→<!--
     2→  @component Main cluster status view component; renders current system-usage information
     3→
     4→  Properties:
     5→  - `presetCluster String`: The cluster to show status information for
     6→-->
     7→
     8→ <script>
     9→  import {
    10→    getContext
    11→  } from "svelte"
    12→  import {
    13→    queryStore,
    14→    gql,
    15→    getContextClient,
    16→  } from "@urql/svelte";
    17→  import {
    18→    init,
    19→    scramble,
    20→    scrambleNames,
    21→  } from "../generic/utils.js";
    22→  import {
    23→    formatDurationTime,
    24→    formatNumber,
    25→    scaleNumber
    26→  } from "../generic/units.js";
    27→  import {
    28→    Row,
    29→    Col,
    30→    Card,
    31→    CardTitle,
    32→    CardHeader,
    33→    CardBody,
    34→    Spinner,
    35→    Table,
    36→    Progress,
    37→    Icon,
    38→  } from "@sveltestrap/sveltestrap";
    39→  import Roofline from "../generic/plots/Roofline.svelte";
    40→  import Pie, { colors } from "../generic/plots/Pie.svelte";
    41→  import Stacked from "../generic/plots/Stacked.svelte";
    42→  import DoubleMetric from "../generic/plots/DoubleMetricPlot.svelte";
    43→  import Refresher from "../generic/helper/Refresher.svelte";
    44→
    45→  /* Svelte 5 Props */
    46→  let {
    47→    presetCluster,
    48→  } = $props();
    49→
    50→  /*Const Init */
    51→  const { query: initq } = init();
    52→  const client = getContextClient();
    53→  const useCbColors = getContext("cc-config")?.plotConfiguration_colorblindMode || false
    54→
    55→  /* States */
    56→  let pagingState = $state({page: 1, itemsPerPage: 10}) // Top 10
    57→  let from = $state(new Date(Date.now() - 5 * 60 * 1000));
    58→  let clusterFrom = $state(new Date(Date.now() - (8 * 60 * 60 * 1000)));
    59→  let to = $state(new Date(Date.now()));
    60→  let stackedFrom = $state(Math.floor(Date.now() / 1000) - 14400);
    61→  let colWidthJobs = $state(0);
    62→
    63→  /* Derived */
    64→  // States for Stacked charts
    65→  const statesTimed = $derived(queryStore({
    66→    client: client,
    67→    query: gql`
    68→      query ($filter: [NodeFilter!], $typeNode: String!, $typeHealth: String!) {
    69→        nodeStates: nodeStatesTimed(filter: $filter, type: $typeNode) {
    70→          state
    71→          counts
    72→          times
    73→        }
    74→        healthStates: nodeStatesTimed(filter: $filter, type: $typeHealth) {
    75→          state
    76→          counts
    77→          times
    78→        }
    79→      }
    80→    `,
    81→    variables: {
    82→      filter: { cluster: { eq: presetCluster }, timeStart: stackedFrom},
    83→      typeNode: "node",
    84→      typeHealth: "health"
    85→    },
    86→    requestPolicy: "network-only"
    87→  }));
    88→
    89→  // Note: nodeMetrics are requested on configured $timestep resolution
    90→  // Result: The latest 5 minutes (datapoints) for each node independent of job
    91→  const statusQuery = $derived(queryStore({
    92→    client: client,
    93→    query: gql`
    94→      query (
    95→        $cluster: String!
    96→        $metrics: [String!]
    97→        $from: Time!
    98→        $to: Time!
    99→        $clusterFrom: Time!
   100→        $jobFilter: [JobFilter!]!
   101→        $paging: PageRequest!
   102→        $sorting: OrderByInput!
   103→      ) {
   104→        # Node 5 Minute Averages for Roofline
   105→        nodeMetrics(
   106→          cluster: $cluster
   107→          metrics: $metrics
   108→          from: $from
   109→          to: $to
   110→        ) {
   111→          host
   112→          subCluster
   113→          metrics {
   114→            name
   115→            metric {
   116→              series {
   117→                statistics {
   118→                  avg
   119→                }
   120→              }
   121→            }
   122→          }
   123→        }
   124→        # Running Job Metric Average for Rooflines
   125→        jobsMetricStats(filter: $jobFilter, metrics: $metrics) {
   126→          id
   127→          jobId
   128→          duration
   129→          numNodes
   130→          numAccelerators
   131→          subCluster
   132→          stats {
   133→            name
   134→            data {
   135→              avg
   136→            }
   137→          }
   138→        }
   139→        # Get Jobs for Per-Node Counts
   140→        jobs(filter: $jobFilter, order: $sorting, page: $paging) {
   141→          items {
   142→            jobId
   143→            resources {
   144→              hostname
   145→            }
   146→          }
   147→          count
   148→        }
   149→        # Only counts shared nodes once
   150→        allocatedNodes(cluster: $cluster) {


     1→<!--
     2→  @component Main cluster status view component; renders current system-usage information
     3→
     4→  Properties:
     5→  - `presetCluster String`: The cluster to show status information for
     6→-->
     7→
     8→ <script>
     9→  import {
    10→    queryStore,
    11→    gql,
    12→    getContextClient,
    13→  } from "@urql/svelte";
    14→  import {
    15→    init,
    16→  } from "./generic/utils.js";
    17→  import {
    18→    formatNumber,
    19→    scaleNumber
    20→  } from "./generic/units.js";
    21→  import {
    22→    Row,
    23→    Col,
    24→    Card,
    25→    CardHeader,
    26→    CardBody,
    27→    Spinner,
    28→    Table,
    29→    Progress,
    30→    Icon,
    31→    Button,
    32→    Badge
    33→  } from "@sveltestrap/sveltestrap";
    34→  import Roofline from "./generic/plots/Roofline.svelte";
    35→  import Pie, { colors } from "./generic/plots/Pie.svelte";
    36→  import Stacked from "./generic/plots/Stacked.svelte";
    37→  import DoubleMetric from "./generic/plots/DoubleMetricPlot.svelte";
    38→  import Refresher from "./generic/helper/Refresher.svelte";
    39→
    40→  /* Svelte 5 Props */
    41→  let {
    42→    presetCluster,
    43→  } = $props();
    44→
    45→  /*Const Init */
    46→  const { query: initq } = init();
    47→  const client = getContextClient();
    48→  // const useCbColors = getContext("cc-config")?.plotConfiguration_colorblindMode || false
    49→
    50→  /* States */
    51→  let from = $state(new Date(Date.now() - (5 * 60 * 1000)));
    52→  let clusterFrom = $state(new Date(Date.now() - (8 * 60 * 60 * 1000)));
    53→  let to = $state(new Date(Date.now()));
    54→  let stackedFrom = $state(Math.floor(Date.now() / 1000) - 14400);
    55→  let colWidthStates = $state(0);
    56→
    57→  /* Derived */
    58→  // States for Stacked charts
    59→  const statesTimed = $derived(queryStore({
    60→    client: client,
    61→    query: gql`
    62→      query ($filter: [NodeFilter!], $type: String!) {
    63→        nodeStatesTimed(filter: $filter, type: $type) {
    64→          state
    65→          counts
    66→          times
    67→        }
    68→      }
    69→    `,
    70→    variables: {
    71→      filter: { cluster: { eq: presetCluster }, timeStart: stackedFrom},
    72→      type: "node",
    73→    },
    74→    requestPolicy: "network-only"
    75→  }));
    76→
    77→  // Note: nodeMetrics are requested on configured $timestep resolution
    78→  // Result: The latest 5 minutes (datapoints) for each node independent of job
    79→  const statusQuery = $derived(queryStore({
    80→    client: client,
    81→    query: gql`
    82→      query (
    83→        $cluster: String!
    84→        $nmetrics: [String!]
    85→        $cmetrics: [String!]
    86→        $from: Time!
    87→        $to: Time!
    88→        $clusterFrom: Time!
    89→        $jobFilter: [JobFilter!]!
    90→        $nodeFilter: [NodeFilter!]!
    91→        $paging: PageRequest!
    92→        $sorting: OrderByInput!
    93→      ) {
    94→        # Node 5 Minute Averages for Roofline
    95→        nodeMetrics(
    96→          cluster: $cluster
    97→          metrics: $nmetrics
    98→          from: $from
    99→          to: $to
   100→        ) {
   101→          host
   102→          subCluster
   103→          metrics {
   104→            name
   105→            metric {
   106→              unit {
   107→                base
   108→                prefix
   109→              }
   110→              series {
   111→                statistics {
   112→                  avg
   113→                }
   114→              }
   115→            }
   116→          }
   117→        }
   118→        # Get Jobs for Per-Node Counts
   119→        jobs(filter: $jobFilter, order: $sorting, page: $paging) {
   120→          items {
   121→            jobId
   122→            resources {
   123→              hostname
   124→            }
   125→          }
   126→          count
   127→        }
   128→        # Only counts shared nodes once
   129→        allocatedNodes(cluster: $cluster) {
   130→          name
   131→          count
   132→        }
   133→        # Get Current States fir Pie Charts
   134→        nodeStates(filter: $nodeFilter) {
   135→          state
   136→          count
   137→        }
   138→        # Get States for Node Roofline; $sorting unused in backend: Use placeholder
   139→        nodes(filter: $nodeFilter, order: $sorting) {
   140→          count
   141→          items {
   142→            hostname
   143→            cluster
   144→            subCluster
   145→            schedulerState
   146→          }
   147→        }
   148→        # totalNodes includes multiples if shared jobs: Info-Card Data
   149→        jobsStatistics(
   150→          filter: $jobFilter


     1→<!--
     2→  @component Main cluster status view component; renders current system-usage information
     3→
     4→  Properties:
     5→  - `presetCluster String`: The cluster to show status information for
     6→-->
     7→
     8→ <script>
     9→  import {
    10→    Row,
    11→    Col,
    12→    Card,
    13→    CardHeader,
    14→    CardTitle,
    15→    CardBody,
    16→    Table,
    17→    Progress,
    18→    Spinner
    19→  } from "@sveltestrap/sveltestrap";
    20→  import {
    21→    queryStore,
    22→    gql,
    23→    getContextClient,
    24→  } from "@urql/svelte";
    25→  import { formatDurationTime, scaleNumber } from "../../generic/units.js";
    26→  import Refresher from "../../generic/helper/Refresher.svelte";
    27→  import TimeSelection from "../../generic/select/TimeSelection.svelte";
    28→  import Roofline from "../../generic/plots/Roofline.svelte";
    29→  import Stacked from "../../generic/plots/Stacked.svelte";
    30→
    31→  /* Svelte 5 Props */
    32→  let {
    33→    clusters,
    34→    presetCluster,
    35→    loadMe = false,
    36→  } = $props();
    37→
    38→  /* Const Init */
    39→  const client = getContextClient();
    40→
    41→  /* State Init */
    42→  let from = $state(new Date(Date.now() - 5 * 60 * 1000));
    43→  let to = $state(new Date(Date.now()));
    44→  let stackedFrom = $state(Math.floor(Date.now() / 1000) - 14400);
    45→  // Bar Gauges
    46→  let allocatedNodes = $state({});
    47→  let allocatedCores = $state({});
    48→  let allocatedAccs = $state({});
    49→  let flopRate = $state({});
    50→  let flopRateUnitPrefix = $state({});
    51→  let flopRateUnitBase = $state({});
    52→  let memBwRate = $state({});
    53→  let memBwRateUnitPrefix = $state({});
    54→  let memBwRateUnitBase = $state({});
    55→  // Plain Infos
    56→  let runningJobs = $state({});
    57→  let activeUsers = $state({});
    58→  let totalAccs = $state({});
    59→
    60→  /* Derived */
    61→  let cluster = $derived(presetCluster);
    62→  // States for Stacked charts
    63→  const statesTimed = $derived(loadMe ? queryStore({
    64→    client: client,
    65→    query: gql`
    66→      query ($filter: [NodeFilter!], $typeNode: String!, $typeHealth: String!) {
    67→        nodeStates: nodeStatesTimed(filter: $filter, type: $typeNode) {
    68→          state
    69→          counts
    70→          times
    71→        }
    72→        healthStates: nodeStatesTimed(filter: $filter, type: $typeHealth) {
    73→          state
    74→          counts
    75→          times
    76→        }
    77→      }
    78→    `,
    79→    variables: {
    80→      filter: { cluster: { eq: cluster }, timeStart: stackedFrom},
    81→      typeNode: "node",
    82→      typeHealth: "health"
    83→    },
    84→    requestPolicy: "network-only"
    85→  }) : null);
    86→
    87→  // Note: nodeMetrics are requested on configured $timestep resolution
    88→  // Result: The latest 5 minutes (datapoints) for each node independent of job
    89→  const statusQuery = $derived(loadMe ? queryStore({
    90→    client: client,
    91→    query: gql`
    92→      query (
    93→        $cluster: String!
    94→        $metrics: [String!]
    95→        $from: Time!
    96→        $to: Time!
    97→        $jobFilter: [JobFilter!]!
    98→        $nodeFilter: [NodeFilter!]!
    99→        $paging: PageRequest!
   100→        $sorting: OrderByInput!
   101→      ) {
   102→        # Node 5 Minute Averages for Roofline
   103→        nodeMetrics(
   104→          cluster: $cluster
   105→          metrics: $metrics
   106→          from: $from
   107→          to: $to
   108→        ) {
   109→          host
   110→          subCluster
   111→          metrics {
   112→            name
   113→            metric {
   114→              series {
   115→                statistics {
   116→                  avg
   117→                }
   118→              }
   119→            }
   120→          }
   121→        }
   122→        # Running Job Metric Average for Rooflines
   123→        jobsMetricStats(filter: $jobFilter, metrics: $metrics) {
   124→          id
   125→          jobId
   126→          duration
   127→          numNodes
   128→          numAccelerators
   129→          subCluster
   130→          stats {
   131→            name
   132→            data {
   133→              avg
   134→            }
   135→          }
   136→        }
   137→        # Get Jobs for Per-Node Counts
   138→        jobs(filter: $jobFilter, order: $sorting, page: $paging) {
   139→          items {
   140→            jobId
   141→            resources {
   142→              hostname
   143→            }
   144→          }
   145→          count
   146→        }
   147→        # Only counts shared nodes once
   148→        allocatedNodes(cluster: $cluster) {
   149→          name
   150→          count


Bash

grep -r "jobsStatistics" /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src --include="*.svelte" -A 5 | grep -E "(jobsStatistics|sortBy|groupBy)" | head -50


/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:          jobsStatistics(filter: $jobFilters, metrics: $selectedHistograms, numDurationBins: $numDurationBins , numMetricBins: $numMetricBins ) {
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:  const hasAccHours = $derived(($stats?.data?.jobsStatistics[0]?.totalAccHours || 0) != 0);
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                  {formatNumber($stats?.data?.jobsStatistics[0]?.totalJobs || 0)} Jobs
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                  {formatNumber($stats?.data?.jobsStatistics[0]?.shortJobs || 0)} Jobs
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                  {formatNumber($stats?.data?.jobsStatistics[0]?.totalWalltime || 0)} Hours
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                  {formatNumber($stats?.data?.jobsStatistics[0]?.totalCoreHours || 0)} Hours
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:                    {formatNumber($stats?.data?.jobsStatistics[0]?.totalAccHours || 0)} Hours
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:        {#key $stats?.data?.jobsStatistics[0]?.histDuration}
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:            data={convert2uplot($stats?.data?.jobsStatistics[0]?.histDuration)}
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:        {#key $stats?.data?.jobsStatistics[0]?.histNumNodes}
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:            data={convert2uplot($stats?.data?.jobsStatistics[0]?.histNumNodes)}
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:      {#key $stats?.data?.jobsStatistics[0]?.histMetrics}
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/User.root.svelte:          items={$stats?.data?.jobsStatistics[0]?.histMetrics || []}
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte:        jobsStatistics(
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte-          groupBy: CLUSTER
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte:      if (!rawInfos['allocatedCores']) rawInfos['allocatedCores'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalCores || 0;
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte:      if (!rawInfos['allocatedAccs']) rawInfos['allocatedAccs'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalAccs || 0;
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte:      if (!rawInfos['activeUsers']) rawInfos['activeUsers'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalUsers || 0;
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte:      if (!rawInfos['runningJobs']) rawInfos['runningJobs'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalJobs || 0;
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:        jobsStatistics(
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte-          groupBy: CLUSTER
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:        jobsStatistics(
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte-          sortBy: TOTALJOBS
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte-          groupBy: PROJECT
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:      if (!rawInfos['allocatedCores']) rawInfos['allocatedCores'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalCores || 0;
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:      if (!rawInfos['allocatedAccs']) rawInfos['allocatedAccs'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalAccs || 0;
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:      if (!rawInfos['activeUsers']) rawInfos['activeUsers'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalUsers || 0;
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:      if (!rawInfos['runningJobs']) rawInfos['runningJobs'] = $statusQuery?.data?.jobsStatistics?.find(({ id }) => id == presetCluster)?.totalJobs || 0;
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:          {#if $topJobsQuery?.data?.jobsStatistics?.length > 0}
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:                    quantities={$topJobsQuery.data.jobsStatistics.map(
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:                    entities={$topJobsQuery.data.jobsStatistics.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte:                  {#each $topJobsQuery.data.jobsStatistics as tp, i}
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:              allUsers: jobsStatistics(
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte-                groupBy: USER
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:              allProjects: jobsStatistics(
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte-                groupBy: PROJECT
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:              jobsStatistics(
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:      {#key $nodeStatusQuery?.data?.jobsStatistics[0]?.histDuration}
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:            $nodeStatusQuery?.data?.jobsStatistics[0]?.histDuration,
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:          $nodeStatusQuery?.data?.jobsStatistics[0]?.histNumNodes,
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte:          $nodeStatusQuery?.data?.jobsStatistics[0]?.histNumAccs,
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatisticsDash.svelte:        jobsStatistics(filter: $filter, metrics: $selectedHistograms) {
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatisticsDash.svelte:    {#key $metricStatusQuery?.data?.jobsStatistics[0]?.histMetrics}
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatisticsDash.svelte:        items={$metricStatusQuery?.data?.jobsStatistics[0]?.histMetrics}
/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatusDash.svelte:        jobsStatistics(


grep -A 20 "topJobsQuery.*derived" /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte


  const topJobsQuery = $derived(queryStore({
    client: client,
    query: gql`
      query (
        $filter: [JobFilter!]!
        $paging: PageRequest!
      ) {
        jobsStatistics(
          filter: $filter
          page: $paging
          sortBy: TOTALJOBS
          groupBy: PROJECT
        ) {
          id
          totalJobs
        }
      }
    `,
    variables: {
      filter: [{ cluster: { eq: presetCluster} }, { state: ["running"] }],
      paging: pagingState // Top 10


grep -r "JobsStatsGrouped\|JobsStats\(" /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository --include="*.go" -l


Error: Exit code 2
grep: parentheses not balanced


grep -r "JobsStatsGrouped" /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository --include="*.go" -l


     1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
     2→// All rights reserved. This file is part of cc-backend.
     3→// Use of this source code is governed by a MIT-style
     4→// license that can be found in the LICENSE file.
     5→
     6→// This file contains job statistics and histogram generation functionality for the JobRepository.
     7→//
     8→// # Job Statistics
     9→//
    10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,
    11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:
    12→//   - Overall (JobsStats): Single aggregate across all matching jobs
    13→//   - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster
    14→//   - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering
    15→//
    16→// All statistics methods support filtering via JobFilter and respect security contexts.
    17→//
    18→// # Histograms
    19→//
    20→// Histogram methods generate distribution data for visualization:
    21→//   - Duration, nodes, cores, accelerators (AddHistograms)
    22→//   - Job metrics like CPU load, memory usage (AddMetricHistograms)
    23→//
    24→// Histograms use intelligent binning:
    25→//   - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding
    26→//   - Resources: Natural value-based bins
    27→//   - Metrics: Normalized to peak values with configurable bin counts
    28→//
    29→// # Running vs. Completed Jobs
    30→//
    31→// Statistics handle running jobs specially:
    32→//   - Duration calculated as (now - start_time) for running jobs
    33→//   - Metric histograms for running jobs load data from metric backend instead of footprint
    34→//   - Job state filtering distinguishes running/completed jobs
    35→//
    36→// # Performance Considerations
    37→//
    38→// - All queries use prepared statements via stmtCache
    39→// - Complex aggregations use SQL for efficiency
    40→// - Histogram pre-initialization ensures consistent bin ranges
    41→// - Metric histogram queries limited to 5000 jobs for running job analysis
    42→
    43→package repository
    44→
    45→import (
    46→	"context"
    47→	"database/sql"
    48→	"fmt"
    49→	"time"
    50→
    51→	"github.com/ClusterCockpit/cc-backend/internal/config"
    52→	"github.com/ClusterCockpit/cc-backend/internal/graph/model"
    53→	"github.com/ClusterCockpit/cc-backend/internal/metricdispatch"
    54→	"github.com/ClusterCockpit/cc-backend/pkg/archive"
    55→	cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
    56→	"github.com/ClusterCockpit/cc-lib/v2/schema"
    57→	sq "github.com/Masterminds/squirrel"
    58→	"golang.org/x/sync/errgroup"
    59→)
    60→
    61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.
    62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions
    63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.
    64→var groupBy2column = map[model.Aggregate]string{
    65→	model.AggregateUser:       "job.hpc_user",
    66→	model.AggregateProject:    "job.project",
    67→	model.AggregateCluster:    "job.cluster",
    68→	model.AggregateSubcluster: "job.subcluster",
    69→}
    70→
    71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.
    72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.
    73→// Column names match the AS aliases used in buildStatsQuery.
    74→var sortBy2column = map[model.SortByAggregate]string{
    75→	model.SortByAggregateTotaljobs:      "totalJobs",
    76→	model.SortByAggregateTotalusers:     "totalUsers",
    77→	model.SortByAggregateTotalwalltime:  "totalWalltime",
    78→	model.SortByAggregateTotalnodes:     "totalNodes",
    79→	model.SortByAggregateTotalnodehours: "totalNodeHours",
    80→	model.SortByAggregateTotalcores:     "totalCores",
    81→	model.SortByAggregateTotalcorehours: "totalCoreHours",
    82→	model.SortByAggregateTotalaccs:      "totalAccs",
    83→	model.SortByAggregateTotalacchours:  "totalAccHours",
    84→}
    85→
    86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.
    87→//
    88→// Parameters:
    89→//   - filter: Job filters to apply (cluster, user, time range, etc.)
    90→//   - kind: Special filter - "running" for running jobs only, "short" for jobs under threshold
    91→//   - col: Column name to GROUP BY; empty string for total count without grouping
    92→//
    93→// Returns a SelectBuilder that produces either:
    94→//   - Single count: COUNT(job.id) when col is empty
    95→//   - Grouped counts: col, COUNT(job.id) when col is specified
    96→//
    97→// The kind parameter enables counting specific job categories:
    98→//   - "running": Only jobs with job_state = 'running'
    99→//   - "short": Only jobs with duration < ShortRunningJobsDuration config value
   100→//   - empty: All jobs matching filters
   101→func (r *JobRepository) buildCountQuery(
   102→	filter []*model.JobFilter,
   103→	kind string,
   104→	col string,
   105→) sq.SelectBuilder {
   106→	var query sq.SelectBuilder
   107→
   108→	if col != "" {
   109→		query = sq.Select(col, "COUNT(*)").From("job").GroupBy(col)
   110→	} else {
   111→		query = sq.Select("COUNT(*)").From("job")
   112→	}
   113→
   114→	switch kind {
   115→	case "running":
   116→		query = query.Where("job.job_state = 'running'")
   117→	case "short":
   118→		query = query.Where("job.duration < ?", config.Keys.ShortRunningJobsDuration)
   119→	}
   120→
   121→	for _, f := range filter {
   122→		query = BuildWhereClause(f, query)
   123→	}
   124→
   125→	return query
   126→}
   127→
   128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.
   129→// Only requested columns are computed; unrequested columns select 0 as placeholder.
   130→//
   131→// Parameters:
   132→//   - filter: Job filters to apply (cluster, user, time range, etc.)
   133→//   - col: Column name to GROUP BY; empty string for overall statistics without grouping
   134→//   - shortThreshold: Duration threshold in seconds for counting short-running jobs
   135→//   - reqFields: Set of requested field names; nil means compute all fields
   136→func (r *JobRepository) buildStatsQuery(
   137→	filter []*model.JobFilter,
   138→	col string,
   139→	shortThreshold int,
   140→	reqFields map[string]bool,
   141→) sq.SelectBuilder {
   142→	now := time.Now().Unix()
   143→
   144→	// Helper: return real expression if field is requested (or reqFields is nil), else "0 as alias"
   145→	need := func(field string) bool {
   146→		return reqFields == nil || reqFields[field]
   147→	}
   148→	durationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)
   149→
   150→	// Build column list
   151→	columns := make([]string, 0, 14)
   152→
   153→	if col != "" {
   154→		columns = append(columns, col)
   155→	}
   156→
   157→	columns = append(columns, "COUNT(*) as totalJobs")
   158→
   159→	if need("totalUsers") {
   160→		columns = append(columns, "COUNT(DISTINCT job.hpc_user) AS totalUsers")
   161→	} else {
   162→		columns = append(columns, "0 AS totalUsers")
   163→	}
   164→
   165→	if need("totalWalltime") {
   166→		columns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))
   167→	} else {
   168→		columns = append(columns, "0 as totalWalltime")
   169→	}
   170→
   171→	if need("totalNodes") {
   172→		columns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)
   173→	} else {
   174→		columns = append(columns, "0 as totalNodes")
   175→	}
   176→
   177→	if need("totalNodeHours") {
   178→		columns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))
   179→	} else {
   180→		columns = append(columns, "0 as totalNodeHours")
   181→	}
   182→
   183→	if need("totalCores") {
   184→		columns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)
   185→	} else {
   186→		columns = append(columns, "0 as totalCores")
   187→	}
   188→
   189→	if need("totalCoreHours") {
   190→		columns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))
   191→	} else {
   192→		columns = append(columns, "0 as totalCoreHours")
   193→	}
   194→
   195→	if need("totalAccs") {
   196→		columns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)
   197→	} else {
   198→		columns = append(columns, "0 as totalAccs")
   199→	}
   200→


grep -B 10 "sortAndPageStats" /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go | head -30


			startGrouped := time.Now()
			// Use request-scoped cache: multiple aliases with same (filter, groupBy)
			// but different sortBy/page hit the DB only once.
			if cache := getStatsGroupCache(ctx); cache != nil {
				key := statsCacheKey(filter, groupBy, reqFields)
				var allStats []*model.JobsStatistics
				allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {
					return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)
				})
				if err == nil {
					stats = sortAndPageStats(allStats, sortBy, page)


   646→// JobsStatistics is the resolver for the jobsStatistics field.
   647→func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {
   648→	var err error
   649→	var stats []*model.JobsStatistics
   650→
   651→	// Top Level Defaults
   652→	defaultDurationBins := "1h"
   653→	defaultMetricBins := 10
   654→
   655→	// Build requested fields map for selective column computation
   656→	statsFields := []string{
   657→		"totalJobs", "totalUsers", "totalWalltime", "totalNodes", "totalCores",
   658→		"totalAccs", "totalNodeHours", "totalCoreHours", "totalAccHours", "runningJobs", "shortJobs",
   659→	}
   660→	reqFields := make(map[string]bool, len(statsFields))
   661→	fetchedMainStats := false
   662→	for _, f := range statsFields {
   663→		if requireField(ctx, f) {
   664→			reqFields[f] = true
   665→			if f != "runningJobs" && f != "shortJobs" {
   666→				fetchedMainStats = true
   667→			}
   668→		}
   669→	}
   670→
   671→	if fetchedMainStats {
   672→		if groupBy == nil {
   673→			stats, err = r.Repo.JobsStats(ctx, filter, reqFields)
   674→		} else {
   675→			startGrouped := time.Now()
   676→			// Use request-scoped cache: multiple aliases with same (filter, groupBy)
   677→			// but different sortBy/page hit the DB only once.
   678→			if cache := getStatsGroupCache(ctx); cache != nil {
   679→				key := statsCacheKey(filter, groupBy, reqFields)
   680→				var allStats []*model.JobsStatistics
   681→				allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {
   682→					return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)
   683→				})
   684→				if err == nil {
   685→					stats = sortAndPageStats(allStats, sortBy, page)
   686→				}
   687→			} else {
   688→				stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)
   689→			}
   690→			cclog.Infof("Timer JobsStatsGrouped call: %s", time.Since(startGrouped))
   691→		}
   692→	} else {
   693→		stats = make([]*model.JobsStatistics, 0, 1)
   694→		stats = append(stats, &model.JobsStatistics{})
   695→	}
   696→
   697→	// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.
   698→	// Only run separate count queries if main stats were not fetched.
   699→	if !fetchedMainStats {
   700→		if groupBy != nil {
   701→			if requireField(ctx, "shortJobs") {
   702→				stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, "short")
   703→			}
   704→			if requireField(ctx, "runningJobs") {
   705→				stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, "running")
   706→			}
   707→		} else {
   708→			if requireField(ctx, "shortJobs") {
   709→				stats, err = r.Repo.AddJobCount(ctx, filter, stats, "short")
   710→			}
   711→			if requireField(ctx, "runningJobs") {
   712→				stats, err = r.Repo.AddJobCount(ctx, filter, stats, "running")
   713→			}
   714→		}
   715→	}
   716→
   717→	if err != nil {
   718→		return nil, err
   719→	}
   720→
   721→	if requireField(ctx, "histDuration") || requireField(ctx, "histNumNodes") || requireField(ctx, "histNumCores") || requireField(ctx, "histNumAccs") {
   722→
   723→		if numDurationBins == nil {
   724→			numDurationBins = &defaultDurationBins
   725→		}
   726→
   727→		if groupBy == nil {
   728→			stats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)
   729→			if err != nil {
   730→				return nil, err
   731→			}
   732→		} else {
   733→			return nil, errors.New("histograms only implemented without groupBy argument")
   734→		}
   735→	}
   736→
   737→	if requireField(ctx, "histMetrics") {
   738→
   739→		if numMetricBins == nil {
   740→			numMetricBins = &defaultMetricBins
   741→		}
   742→
   743→		if groupBy == nil {
   744→			stats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)
   745→			if err != nil {
   746→				return nil, err
   747→			}
   748→		} else {
   749→			return nil, errors.New("metric histograms only implemented without groupBy argument")
   750→		}
   751→	}
   752→
   753→	return stats, nil
   754→}
   755→


Perfect! Now I have all the information I need. Let me create a final comprehensive summary of the bug:

## Summary

I've identified a **critical bug** in the `jobsStatistics` GraphQL query where sorting by a field that isn't explicitly requested in the selection set will result in sorting by a zeroed-out value (0) instead of the actual field value.

### The Bug

**Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go` lines 646-754, specifically the caching path at lines 678-686.

**Root Cause**: When using `groupBy` with `sortBy`:
1. Lines 662-669 build `reqFields` map based on **which fields are selected in the GraphQL response** (via `requireField()`)
2. This `reqFields` is passed to `JobsStatsGrouped()` to optimize database queries—only computing requested columns
3. However, when the `cache` is used (line 678-686), `sortAndPageStats()` is called **before** the response is serialized
4. If a field is used in `sortBy` but **not** in the response selection, it was never computed in the database query and remains at its default value (0)
5. `sortAndPageStats()` then sorts by this zero value instead of the actual value

### Concrete Example

From `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte`:

```graphql
jobsStatistics(
  filter: $filter
  page: $paging
  sortBy: TOTALJOBS
  groupBy: PROJECT
) {
  id
  totalJobs  # Only requesting id and totalJobs
}
```

**The Problem**: The query sorts by `TOTALJOBS` but if the frontend also needs to sort by `TOTALUSERS` in another request (same filter/groupBy), and that request only selects `totalUsers` in the response, the database query skips computing `totalJobs` (since it's not in `reqFields`), causing `sortAndPageStats()` to sort by 0 instead.

### Why This Happens

The optimization in lines 145-147 of `stats.go`:

```go
need := func(field string) bool {
    return reqFields == nil || reqFields[field]
}
```

This optimization sets unrequested columns to `0` in the database:

```go
if need("totalUsers") {
    columns = append(columns, "COUNT(DISTINCT job.hpc_user) AS totalUsers")
} else {
    columns = append(columns, "0 AS totalUsers")  // Zero placeholder!
}
```

Then in the caching path (lines 678-686 of schema.resolvers.go), `sortAndPageStats()` receives data with zeroed fields but still tries to sort by them.

### Affected Code Paths

1. **With Cache** (lines 678-686): Definitely buggy
   - Gets all results from cache (potentially with zeroed fields)
   - Calls `sortAndPageStats()` which sorts by whatever `sortBy` specifies
   - If sortBy field is zeroed, sorting is incorrect

2. **Without Cache** (line 688): Safe
   - Passes `sortBy` directly to database layer
   - Database queries sort before returning results
   - All fields are computed for sorting

3. **No groupBy** (line 673): Safe
   - `JobsStats()` computes all fields regardless of `reqFields`
   - No selective computation optimization

### Files Involved

- **Backend**:
  - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go` - JobsStatistics resolver (lines 646-754)
  - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go` - sortAndPageStats function (lines 83-135)
  - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go` - buildStatsQuery optimization

- **Frontend Calls** (with groupBy + sortBy):
  - `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Analysis.root.svelte` (lines 156-188) - sorts by totalWalltime, totalNodeHours, totalCoreHours, or totalAccHours
  - `/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte` - sorts by TOTALJOBS with groupBy PROJECT

agentId: a2a88d9a86878e95a (use SendMessage with to: 'a2a88d9a86878e95a' to continue this agent)
<usage>total_tokens: 83237
tool_uses: 26
duration_ms: 44211</usage>

Prompt:
In the cc-backend codebase, I need to understand if there's a potential bug where `sortAndPageStats` might sort by a field that was zeroed out because it wasn't in `reqFields`.

Specifically:
1. Find all GraphQL queries/frontend code that call `jobsStatistics` with both a `groupBy` and `sortBy` argument. Check if any of them sort by a field (e.g. `TOTALUSERS`) without also selecting that field in the response.
2. Look in `web/frontend/src/` for how `jobsStatistics` is called — what fields are requested and what `sortBy` values are used.
3. Check `internal/graph/schema.resolvers.go` around the `requireField` function — how does it determine which fields are requested from the GraphQL selection set?

Be thorough — check all .svelte, .js, .ts, and .graphql files in the frontend, plus the GraphQL schema.


The agent found a real correctness issue. When the cache path is taken, `sortAndPageStats` does in-memory sorting by whatever `sortBy` field is specified. But if that field wasn't in the GraphQL selection set (and thus not in `reqFields`), the DB returns 0 for it, making the sort meaningless.

Let me check the exact enum-to-field mapping:


internal/graph/model/models_gen.go:331:type SortByAggregate string
internal/graph/model/models_gen.go:334:	SortByAggregateTotalwalltime  SortByAggregate = "TOTALWALLTIME"
internal/graph/model/models_gen.go:335:	SortByAggregateTotaljobs      SortByAggregate = "TOTALJOBS"
internal/graph/model/models_gen.go:336:	SortByAggregateTotalusers     SortByAggregate = "TOTALUSERS"
internal/graph/model/models_gen.go:337:	SortByAggregateTotalnodes     SortByAggregate = "TOTALNODES"
internal/graph/model/models_gen.go:338:	SortByAggregateTotalnodehours SortByAggregate = "TOTALNODEHOURS"
internal/graph/model/models_gen.go:339:	SortByAggregateTotalcores     SortByAggregate = "TOTALCORES"
internal/graph/model/models_gen.go:340:	SortByAggregateTotalcorehours SortByAggregate = "TOTALCOREHOURS"
internal/graph/model/models_gen.go:341:	SortByAggregateTotalaccs      SortByAggregate = "TOTALACCS"
internal/graph/model/models_gen.go:342:	SortByAggregateTotalacchours  SortByAggregate = "TOTALACCHOURS"
internal/graph/model/models_gen.go:345:var AllSortByAggregate = []SortByAggregate{
internal/graph/model/models_gen.go:346:	SortByAggregateTotalwalltime,
internal/graph/model/models_gen.go:347:	SortByAggregateTotaljobs,
internal/graph/model/models_gen.go:348:	SortByAggregateTotalusers,
internal/graph/model/models_gen.go:349:	SortByAggregateTotalnodes,
internal/graph/model/models_gen.go:350:	SortByAggregateTotalnodehours,
internal/graph/model/models_gen.go:351:	SortByAggregateTotalcores,
internal/graph/model/models_gen.go:352:	SortByAggregateTotalcorehours,
internal/graph/model/models_gen.go:353:	SortByAggregateTotalaccs,
internal/graph/model/models_gen.go:354:	SortByAggregateTotalacchours,
internal/graph/model/models_gen.go:357:func (e SortByAggregate) IsValid() bool {
internal/graph/model/models_gen.go:359:	case SortByAggregateTotalwalltime, SortByAggregateTotaljobs, SortByAggregateTotalusers, SortByAggregateTotalnodes, SortByAggregateTotalnodehours, SortByAggregateTotalcores, SortByAggregateTotalcorehours, SortByAggregateTotalaccs, SortByAggregateTotalacchours:
internal/graph/model/models_gen.go:365:func (e SortByAggregate) String() string {
internal/graph/model/models_gen.go:369:func (e *SortByAggregate) UnmarshalGQL(v any) error {
internal/graph/model/models_gen.go:375:	*e = SortByAggregate(str)
internal/graph/model/models_gen.go:377:		return fmt.Errorf("%s is not a valid SortByAggregate", str)
internal/graph/model/models_gen.go:382:func (e SortByAggregate) MarshalGQL(w io.Writer) {
internal/graph/model/models_gen.go:386:func (e *SortByAggregate) UnmarshalJSON(b []byte) error {
internal/graph/model/models_gen.go:394:func (e SortByAggregate) MarshalJSON() ([]byte, error) {


Now I need to ensure `sortBy`'s field is included in `reqFields` when taking the cache path. The enum values are uppercase like `"TOTALWALLTIME"`, while `reqFields` keys are camelCase like `"totalWalltime"`. I need a mapping. Let me add that to the resolver:


   670→
   671→	if fetchedMainStats {
   672→		if groupBy == nil {
   673→			stats, err = r.Repo.JobsStats(ctx, filter, reqFields)
   674→		} else {
   675→			startGrouped := time.Now()
   676→			// Use request-scoped cache: multiple aliases with same (filter, groupBy)
   677→			// but different sortBy/page hit the DB only once.
   678→			if cache := getStatsGroupCache(ctx); cache != nil {
   679→				key := statsCacheKey(filter, groupBy, reqFields)
   680→				var allStats []*model.JobsStatistics
   681→				allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {
   682→					return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)
   683→				})
   684→				if err == nil {
   685→					stats = sortAndPageStats(allStats, sortBy, page)
   686→				}
   687→			} else {
   688→				stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)
   689→			}
   690→			cclog.Infof("Timer JobsStatsGrouped call: %s", time.Since(startGrouped))
   691→		}
   692→	} else {
   693→		stats = make([]*model.JobsStatistics, 0, 1)
   694→		stats = append(stats, &model.JobsStatistics{})

	if fetchedMainStats {
		if groupBy == nil {
			stats, err = r.Repo.JobsStats(ctx, filter, reqFields)
		} else {
			startGrouped := time.Now()
			// Use request-scoped cache: multiple aliases with same (filter, groupBy)
			// but different sortBy/page hit the DB only once.
			if cache := getStatsGroupCache(ctx); cache != nil {
				key := statsCacheKey(filter, groupBy, reqFields)
				var allStats []*model.JobsStatistics
				allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {
					return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)
				})
				if err == nil {
					stats = sortAndPageStats(allStats, sortBy, page)
				}
			} else {
				stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)
			}
			cclog.Infof("Timer JobsStatsGrouped call: %s", time.Since(startGrouped))
		}
	} else {
		stats = make([]*model.JobsStatistics, 0, 1)
		stats = append(stats, &model.JobsStatistics{})


I need to add a helper that maps `SortByAggregate` to the `reqFields` key, and ensure the sort field is included in `reqFields` before building the cache key. The cleanest place is in `stats_cache.go`:


   108→}
   109→
   110→// statsFieldGetter returns a function that extracts the sortable int field
   111→// from a JobsStatistics struct for the given sort key.
   112→func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {
   113→	switch sortBy {
   114→	case model.SortByAggregateTotaljobs:
   115→		return func(s *model.JobsStatistics) int { return s.TotalJobs }
   116→	case model.SortByAggregateTotalusers:
   117→		return func(s *model.JobsStatistics) int { return s.TotalUsers }
   118→	case model.SortByAggregateTotalwalltime:
   119→		return func(s *model.JobsStatistics) int { return s.TotalWalltime }
   120→	case model.SortByAggregateTotalnodes:
   121→		return func(s *model.JobsStatistics) int { return s.TotalNodes }
   122→	case model.SortByAggregateTotalnodehours:
   123→		return func(s *model.JobsStatistics) int { return s.TotalNodeHours }
   124→	case model.SortByAggregateTotalcores:
   125→		return func(s *model.JobsStatistics) int { return s.TotalCores }
   126→	case model.SortByAggregateTotalcorehours:
   127→		return func(s *model.JobsStatistics) int { return s.TotalCoreHours }
   128→	case model.SortByAggregateTotalaccs:
   129→		return func(s *model.JobsStatistics) int { return s.TotalAccs }
   130→	case model.SortByAggregateTotalacchours:
   131→		return func(s *model.JobsStatistics) int { return s.TotalAccHours }
   132→	default:
   133→		return func(s *model.JobsStatistics) int { return s.TotalJobs }
   134→	}
   135→}
   136→

}

// statsFieldGetter returns a function that extracts the sortable int field
// from a JobsStatistics struct for the given sort key.
func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {
	switch sortBy {
	case model.SortByAggregateTotaljobs:
		return func(s *model.JobsStatistics) int { return s.TotalJobs }
	case model.SortByAggregateTotalusers:
		return func(s *model.JobsStatistics) int { return s.TotalUsers }
	case model.SortByAggregateTotalwalltime:
		return func(s *model.JobsStatistics) int { return s.TotalWalltime }
	case model.SortByAggregateTotalnodes:
		return func(s *model.JobsStatistics) int { return s.TotalNodes }
	case model.SortByAggregateTotalnodehours:
		return func(s *model.JobsStatistics) int { return s.TotalNodeHours }
	case model.SortByAggregateTotalcores:
		return func(s *model.JobsStatistics) int { return s.TotalCores }
	case model.SortByAggregateTotalcorehours:
		return func(s *model.JobsStatistics) int { return s.TotalCoreHours }
	case model.SortByAggregateTotalaccs:
		return func(s *model.JobsStatistics) int { return s.TotalAccs }
	case model.SortByAggregateTotalacchours:
		return func(s *model.JobsStatistics) int { return s.TotalAccHours }
	default:
		return func(s *model.JobsStatistics) int { return s.TotalJobs }
	}
}


Now I'll add a `sortByFieldName` function to `stats_cache.go` and use it in the resolver to ensure the sort field is computed:


Edit

// statsFieldGetter returns a function that extracts the sortable int field
// from a JobsStatistics struct for the given sort key.

// sortByFieldName maps a SortByAggregate enum to the corresponding reqFields key.
// This ensures the DB computes the column that sortAndPageStats will sort by.
func sortByFieldName(sortBy model.SortByAggregate) string {
	switch sortBy {
	case model.SortByAggregateTotaljobs:
		return "totalJobs"
	case model.SortByAggregateTotalusers:
		return "totalUsers"
	case model.SortByAggregateTotalwalltime:
		return "totalWalltime"
	case model.SortByAggregateTotalnodes:
		return "totalNodes"
	case model.SortByAggregateTotalnodehours:
		return "totalNodeHours"
	case model.SortByAggregateTotalcores:
		return "totalCores"
	case model.SortByAggregateTotalcorehours:
		return "totalCoreHours"
	case model.SortByAggregateTotalaccs:
		return "totalAccs"
	case model.SortByAggregateTotalacchours:
		return "totalAccHours"
	default:
		return "totalJobs"
	}
}

// statsFieldGetter returns a function that extracts the sortable int field
// from a JobsStatistics struct for the given sort key.


The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated successfully.

// sortByFieldName maps a SortByAggregate enum to the corresponding reqFields key.
// This ensures the DB computes the column that sortAndPageStats will sort by.
func sortByFieldName(sortBy model.SortByAggregate) string {
	switch sortBy {
	case model.SortByAggregateTotaljobs:
		return "totalJobs"
	case model.SortByAggregateTotalusers:
		return "totalUsers"
	case model.SortByAggregateTotalwalltime:
		return "totalWalltime"
	case model.SortByAggregateTotalnodes:
		return "totalNodes"
	case model.SortByAggregateTotalnodehours:
		return "totalNodeHours"
	case model.SortByAggregateTotalcores:
		return "totalCores"
	case model.SortByAggregateTotalcorehours:
		return "totalCoreHours"
	case model.SortByAggregateTotalaccs:
		return "totalAccs"
	case model.SortByAggregateTotalacchours:
		return "totalAccHours"
	default:
		return "totalJobs"
	}
}

// statsFieldGetter returns a function that extracts the sortable int field
// from a JobsStatistics struct for the given sort key.

// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
// All rights reserved. This file is part of cc-backend.
// Use of this source code is governed by a MIT-style
// license that can be found in the LICENSE file.

package graph

import (
	"context"
	"fmt"
	"slices"
	"sync"

	"github.com/ClusterCockpit/cc-backend/internal/graph/model"
)

// statsGroupCache is a per-request cache for grouped JobsStatistics results.
// It deduplicates identical (filter+groupBy) SQL queries that arise when the
// frontend requests multiple sort/page slices of the same underlying data
// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).
type statsGroupCache struct {
	mu      sync.Mutex
	entries map[string]*cacheEntry
}

type cacheEntry struct {
	once   sync.Once
	result []*model.JobsStatistics
	err    error
}

type ctxKey int

const statsGroupCacheKey ctxKey = iota

// newStatsGroupCache creates a new empty cache.
func newStatsGroupCache() *statsGroupCache {
	return &statsGroupCache{
		entries: make(map[string]*cacheEntry),
	}
}

// WithStatsGroupCache injects a new cache into the context.
func WithStatsGroupCache(ctx context.Context) context.Context {
	return context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())
}

// getStatsGroupCache retrieves the cache from context, or nil if absent.
func getStatsGroupCache(ctx context.Context) *statsGroupCache {
	if c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {
		return c
	}
	return nil
}

// cacheKey builds a deterministic string key from filter + groupBy + reqFields.
func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate, reqFields map[string]bool) string {
	return fmt.Sprintf("%v|%v|%v", filter, *groupBy, reqFields)
}

// getOrCompute returns cached results for the given key, computing them on
// first access via the provided function.
func (c *statsGroupCache) getOrCompute(
	key string,
	compute func() ([]*model.JobsStatistics, error),
) ([]*model.JobsStatistics, error) {
	c.mu.Lock()
	entry, ok := c.entries[key]
	if !ok {
		entry = &cacheEntry{}
		c.entries[key] = entry
	}
	c.mu.Unlock()

	entry.once.Do(func() {
		entry.result, entry.err = compute()
	})
	return entry.result, entry.err
}

// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)
// and returns the requested page slice.
func sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {
	// Work on a shallow copy so the cached slice order is not mutated.
	sorted := make([]*model.JobsStatistics, len(allStats))
	copy(sorted, allStats)

	if sortBy != nil {
		getter := statsFieldGetter(*sortBy)
		slices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {
			return getter(b) - getter(a) // descending
		})
	}

	if page != nil && page.ItemsPerPage != -1 {
		start := (page.Page - 1) * page.ItemsPerPage
		if start >= len(sorted) {
			return nil
		}
		end := start + page.ItemsPerPage
		if end > len(sorted) {
			end = len(sorted)
		}
		sorted = sorted[start:end]
	}

	return sorted
}

// statsFieldGetter returns a function that extracts the sortable int field
// from a JobsStatistics struct for the given sort key.
func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {
	switch sortBy {
	case model.SortByAggregateTotaljobs:
		return func(s *model.JobsStatistics) int { return s.TotalJobs }
	case model.SortByAggregateTotalusers:
		return func(s *model.JobsStatistics) int { return s.TotalUsers }
	case model.SortByAggregateTotalwalltime:
		return func(s *model.JobsStatistics) int { return s.TotalWalltime }
	case model.SortByAggregateTotalnodes:
		return func(s *model.JobsStatistics) int { return s.TotalNodes }
	case model.SortByAggregateTotalnodehours:
		return func(s *model.JobsStatistics) int { return s.TotalNodeHours }
	case model.SortByAggregateTotalcores:
		return func(s *model.JobsStatistics) int { return s.TotalCores }
	case model.SortByAggregateTotalcorehours:
		return func(s *model.JobsStatistics) int { return s.TotalCoreHours }
	case model.SortByAggregateTotalaccs:
		return func(s *model.JobsStatistics) int { return s.TotalAccs }
	case model.SortByAggregateTotalacchours:
		return func(s *model.JobsStatistics) int { return s.TotalAccHours }
	default:
		return func(s *model.JobsStatistics) int { return s.TotalJobs }
	}
}

+// sortByFieldName maps a SortByAggregate enum to the corresponding reqFields key.

+// This ensures the DB computes the column that sortAndPageStats will sort by.

+func sortByFieldName(sortBy model.SortByAggregate) string {

+  case model.SortByAggregateTotalusers:

+  case model.SortByAggregateTotalwalltime:

+  case model.SortByAggregateTotalnodes:

+  case model.SortByAggregateTotalnodehours:

+  case model.SortByAggregateTotalcores:

+  case model.SortByAggregateTotalcorehours:

+  case model.SortByAggregateTotalacchours:


Now update the resolver to ensure the sort field is in `reqFields` before the cache lookup:


		if cache := getStatsGroupCache(ctx); cache != nil {
				key := statsCacheKey(filter, groupBy, reqFields)
				var allStats []*model.JobsStatistics
				allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {
					return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)
				})

		if cache := getStatsGroupCache(ctx); cache != nil {
				// Ensure the sort field is computed even if not in the GraphQL selection,
				// because sortAndPageStats will sort by it in memory.
				if sortBy != nil {
					reqFields[sortByFieldName(*sortBy)] = true
				}
				key := statsCacheKey(filter, groupBy, reqFields)
				var allStats []*model.JobsStatistics
				allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {
					return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, reqFields)
				})