feat(grafana): filter DORA incident panels by project

Apply the same board_issues.project_name filter to the incident queries
of the DORA dashboards (mysql: DORA, dora-by-team, dora-debug and the
change-failure-rate / failed-deployment-recovery-time /
time-to-restore-service details; postgresql: DORA, dora-by-team), with
the same whole-board fallback.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

Author: kesamba

grafana/dashboards/mysql/DORA.json

@@ -2930,7 +2930,7 @@
           "metricColumn": "none",
           "queryType": "randomWalk",
           "rawQuery": true,
-          "rawSql": "--  ***** 2023 report ***** --\n--  Metric 4: Failed deployment recovery time\nwith _deployments as (\n  SELECT\n    cdc.cicd_deployment_id as deployment_id,\n    max(cdc.finished_date) as deployment_finished_date\n  FROM\n    cicd_deployment_commits cdc\n    JOIN project_mapping pm on cdc.cicd_scope_id = pm.row_id\n    and pm.`table` = 'cicd_scopes'\n  WHERE\n    pm.project_name in ($project)\n    and cdc.result = 'SUCCESS'\n    and cdc.environment = 'PRODUCTION'\n  GROUP BY\n    1\n  HAVING\n    $__timeFilter(max(cdc.finished_date))\n),\n_incidents_for_deployments as (\n  SELECT\n    i.id as incident_id,\n    i.created_date as incident_create_date,\n    i.resolution_date as incident_resolution_date,\n    fd.deployment_id as caused_by_deployment,\n    fd.deployment_finished_date,\n    date_format(fd.deployment_finished_date, '%y/%m') as deployment_finished_month\n  FROM\n    incidents i\n    left join project_incident_deployment_relationships pim on i.id = pim.id\n    join _deployments fd on pim.deployment_id = fd.deployment_id\n  WHERE\n    $__timeFilter(i.resolution_date)\n),\n_recovery_time_ranks as (\n  SELECT\n    *,\n    percent_rank() over(\n      order by\n        TIMESTAMPDIFF(\n          MINUTE,\n          deployment_finished_date,\n          incident_resolution_date\n        )\n    ) as ranks\n  FROM\n    _incidents_for_deployments\n),\n_median_recovery_time as (\n  SELECT\n    max(\n      TIMESTAMPDIFF(\n        MINUTE,\n        deployment_finished_date,\n        incident_resolution_date\n      )\n    ) as median_recovery_time\n  FROM\n    _recovery_time_ranks\n  WHERE\n    ranks <= 0.5\n),\n\n_is_collected_data as(\n  SELECT\n    CASE\n      WHEN EXISTS(select COUNT(d.deployment_id) from _deployments) = 0 AND EXISTS(select COUNT(i.incident_id) FROM incidents) = 0 THEN 'No deployments and incidents'\n      WHEN EXISTS(select COUNT(d.deployment_id) from _deployments) = 0 THEN 'No Deployments'\n      WHEN EXISTS(select COUNT(i.incident_id) FROM incidents) = 0 THEN 'No Incidents'\n      Else 'No incidents are mapped to deployments'\n    END AS is_collected\n  FROM\n    _deployments d, _incidents_for_deployments i\n),\n\n_metric_recovery_time_2023_report as(\n  SELECT\n    CASE\n      WHEN ('$dora_report') = '2023' THEN CASE\n        WHEN is_collected = \"No deployments and incidents\" THEN \"N/A. Please check if you have collected deployments and incidents.\"\n        WHEN is_collected = \"No Deployments\" THEN \"N/A. Please check if you have collected deployments.\"\n        WHEN is_collected = \"No Incidents\" THEN \"N/A. Please check if you have collected incidents.\"\n        WHEN median_recovery_time < 60 THEN CONCAT(round(median_recovery_time / 60, 1), \"(elite)\")\n        WHEN median_recovery_time < 24 * 60 THEN CONCAT(round(median_recovery_time / 60, 1), \"(high)\")\n        WHEN median_recovery_time < 7 * 24 * 60 THEN CONCAT(round(median_recovery_time / 60, 1), \"(medium)\")\n        WHEN median_recovery_time >= 7 * 24 * 60 THEN CONCAT(round(median_recovery_time / 60, 1), \"(low)\")\n        ELSE \"No data\"\n      END\n    END AS median_recovery_time\n  FROM\n    _median_recovery_time,\n    _is_collected_data\n),\n--  ***** 2021 report ***** --\n-- Metric 4: Median time to restore service \n_incidents as (\n  -- get the incidents created within the selected time period in the top-right corner\n  SELECT\n    distinct i.id,\n    cast(lead_time_minutes as signed) as lead_time_minutes\n  FROM\n    incidents i\n    join project_mapping pm on i.scope_id = pm.row_id\n    and pm.`table` = i.`table`\n  WHERE\n    pm.project_name in (${project})\n    and $__timeFilter(i.created_date)\n),\n_median_mttr_ranks as(\n  SELECT\n    *,\n    percent_rank() over(\n      order by\n        lead_time_minutes\n    ) as ranks\n  FROM\n    _incidents\n),\n_median_mttr as(\n  SELECT\n    max(lead_time_minutes) as median_time_to_resolve\n  FROM\n    _median_mttr_ranks\n  WHERE\n    ranks <= 0.5\n),\n_metric_mttr_2021_report as(\n  SELECT\n    CASE\n      WHEN ('$dora_report') = '2021' THEN CASE\n        WHEN median_time_to_resolve < 60 THEN \"Less than one hour(elite)\"\n        WHEN median_time_to_resolve < 24 * 60 THEN \"Less than one day(high)\"\n        WHEN median_time_to_resolve < 7 * 24 * 60 THEN \"Between one day and one week(medium)\"\n        WHEN median_time_to_resolve >= 7 * 24 * 60 THEN \"More than one week(low)\"\n        ELSE \"N/A. Please check if you have collected incidents.\"\n      END\n    END AS median_time_to_resolve\n  FROM\n    _median_mttr\n)\nSELECT\n  median_recovery_time AS median_time_in_hour\nFROM\n  _metric_recovery_time_2023_report\nWHERE\n  ('$dora_report') = '2023'\nUNION\nSELECT\n  median_time_to_resolve AS median_time_to_resolve\nFROM\n  _metric_mttr_2021_report\nWHERE\n  ('$dora_report') = '2021'",
+          "rawSql": "--  ***** 2023 report ***** --\n--  Metric 4: Failed deployment recovery time\nwith _deployments as (\n  SELECT\n    cdc.cicd_deployment_id as deployment_id,\n    max(cdc.finished_date) as deployment_finished_date\n  FROM\n    cicd_deployment_commits cdc\n    JOIN project_mapping pm on cdc.cicd_scope_id = pm.row_id\n    and pm.`table` = 'cicd_scopes'\n  WHERE\n    pm.project_name in ($project)\n    and cdc.result = 'SUCCESS'\n    and cdc.environment = 'PRODUCTION'\n  GROUP BY\n    1\n  HAVING\n    $__timeFilter(max(cdc.finished_date))\n),\n_incidents_for_deployments as (\n  SELECT\n    i.id as incident_id,\n    i.created_date as incident_create_date,\n    i.resolution_date as incident_resolution_date,\n    fd.deployment_id as caused_by_deployment,\n    fd.deployment_finished_date,\n    date_format(fd.deployment_finished_date, '%y/%m') as deployment_finished_month\n  FROM\n    incidents i\n    left join project_incident_deployment_relationships pim on i.id = pim.id\n    join _deployments fd on pim.deployment_id = fd.deployment_id\n  WHERE\n    $__timeFilter(i.resolution_date)\n),\n_recovery_time_ranks as (\n  SELECT\n    *,\n    percent_rank() over(\n      order by\n        TIMESTAMPDIFF(\n          MINUTE,\n          deployment_finished_date,\n          incident_resolution_date\n        )\n    ) as ranks\n  FROM\n    _incidents_for_deployments\n),\n_median_recovery_time as (\n  SELECT\n    max(\n      TIMESTAMPDIFF(\n        MINUTE,\n        deployment_finished_date,\n        incident_resolution_date\n      )\n    ) as median_recovery_time\n  FROM\n    _recovery_time_ranks\n  WHERE\n    ranks <= 0.5\n),\n\n_is_collected_data as(\n  SELECT\n    CASE\n      WHEN EXISTS(select COUNT(d.deployment_id) from _deployments) = 0 AND EXISTS(select COUNT(i.incident_id) FROM incidents) = 0 THEN 'No deployments and incidents'\n      WHEN EXISTS(select COUNT(d.deployment_id) from _deployments) = 0 THEN 'No Deployments'\n      WHEN EXISTS(select COUNT(i.incident_id) FROM incidents) = 0 THEN 'No Incidents'\n      Else 'No incidents are mapped to deployments'\n    END AS is_collected\n  FROM\n    _deployments d, _incidents_for_deployments i\n),\n\n_metric_recovery_time_2023_report as(\n  SELECT\n    CASE\n      WHEN ('$dora_report') = '2023' THEN CASE\n        WHEN is_collected = \"No deployments and incidents\" THEN \"N/A. Please check if you have collected deployments and incidents.\"\n        WHEN is_collected = \"No Deployments\" THEN \"N/A. Please check if you have collected deployments.\"\n        WHEN is_collected = \"No Incidents\" THEN \"N/A. Please check if you have collected incidents.\"\n        WHEN median_recovery_time < 60 THEN CONCAT(round(median_recovery_time / 60, 1), \"(elite)\")\n        WHEN median_recovery_time < 24 * 60 THEN CONCAT(round(median_recovery_time / 60, 1), \"(high)\")\n        WHEN median_recovery_time < 7 * 24 * 60 THEN CONCAT(round(median_recovery_time / 60, 1), \"(medium)\")\n        WHEN median_recovery_time >= 7 * 24 * 60 THEN CONCAT(round(median_recovery_time / 60, 1), \"(low)\")\n        ELSE \"No data\"\n      END\n    END AS median_recovery_time\n  FROM\n    _median_recovery_time,\n    _is_collected_data\n),\n--  ***** 2021 report ***** --\n-- Metric 4: Median time to restore service \n_incidents as (\n  -- get the incidents created within the selected time period in the top-right corner\n  SELECT\n    distinct i.id,\n    cast(lead_time_minutes as signed) as lead_time_minutes\n  FROM\n    incidents i\n    join project_mapping pm on i.scope_id = pm.row_id\n    and pm.`table` = i.`table`\n    left join board_issues bi on bi.issue_id = i.id and bi.board_id = i.scope_id\n  WHERE\n    pm.project_name in (${project})\n    and (\n      bi.project_name in (${project})\n      or not exists (\n        select 1 from board_issues b2\n        where b2.board_id = i.scope_id\n          and b2.project_name is not null and b2.project_name <> ''\n      )\n    )\n    and $__timeFilter(i.created_date)\n),\n_median_mttr_ranks as(\n  SELECT\n    *,\n    percent_rank() over(\n      order by\n        lead_time_minutes\n    ) as ranks\n  FROM\n    _incidents\n),\n_median_mttr as(\n  SELECT\n    max(lead_time_minutes) as median_time_to_resolve\n  FROM\n    _median_mttr_ranks\n  WHERE\n    ranks <= 0.5\n),\n_metric_mttr_2021_report as(\n  SELECT\n    CASE\n      WHEN ('$dora_report') = '2021' THEN CASE\n        WHEN median_time_to_resolve < 60 THEN \"Less than one hour(elite)\"\n        WHEN median_time_to_resolve < 24 * 60 THEN \"Less than one day(high)\"\n        WHEN median_time_to_resolve < 7 * 24 * 60 THEN \"Between one day and one week(medium)\"\n        WHEN median_time_to_resolve >= 7 * 24 * 60 THEN \"More than one week(low)\"\n        ELSE \"N/A. Please check if you have collected incidents.\"\n      END\n    END AS median_time_to_resolve\n  FROM\n    _median_mttr\n)\nSELECT\n  median_recovery_time AS median_time_in_hour\nFROM\n  _metric_recovery_time_2023_report\nWHERE\n  ('$dora_report') = '2023'\nUNION\nSELECT\n  median_time_to_resolve AS median_time_to_resolve\nFROM\n  _metric_mttr_2021_report\nWHERE\n  ('$dora_report') = '2021'",
           "refId": "A",
           "select": [
             [

grafana/dashboards/mysql/dora-by-team.json

@@ -627,7 +627,7 @@
           "metricColumn": "none",
           "queryType": "randomWalk",
           "rawQuery": true,
-          "rawSql": "with _deployments as(\n  select\n    distinct d.cicd_deployment_id as deployment_id,\n    d.result,\n    d.environment,\n    d.finished_date,\n    d.cicd_scope_id,\n    pm.project_name\n  from\n    cicd_deployment_commits d\n    join project_mapping pm on d.cicd_scope_id = pm.row_id\n    and pm.`table` = 'cicd_scopes'\n  where\n    -- only result needs to specified, not environment\n    d.result = 'SUCCESS' -- choose your project_name\n    and pm.project_name in ($project)\n    and $__timeFilter(d.finished_date)\n),\n_incidents as(\n  select\n    distinct i.id as issue_id,\n    i.created_date,\n    pm.project_name\n  from\n    incidents i\n    join project_mapping pm on i.scope_id = pm.row_id\n    and i.`table` = pm.`table`\n  where\n    -- choose your project_name\n    pm.project_name in ($project)\n    and $__timeFilter(i.created_date)\n)\nselect\n  finished_date as 'Time (Ascending)',\n  deployment_id as 'Entity ID',\n  'DEPLOYMENT' as 'Entity Type (Deployment/Incident)'\nfrom\n  _deployments\nunion\nselect\n  created_date as 'Time (Ascending)',\n  issue_id as 'Entity ID',\n  'INCIDENT' as 'Entity Type (Deployment/Incident)'\nfrom\n  _incidents\norder by\n  1",
+          "rawSql": "with _deployments as(\n  select\n    distinct d.cicd_deployment_id as deployment_id,\n    d.result,\n    d.environment,\n    d.finished_date,\n    d.cicd_scope_id,\n    pm.project_name\n  from\n    cicd_deployment_commits d\n    join project_mapping pm on d.cicd_scope_id = pm.row_id\n    and pm.`table` = 'cicd_scopes'\n  where\n    -- only result needs to specified, not environment\n    d.result = 'SUCCESS' -- choose your project_name\n    and pm.project_name in ($project)\n    and $__timeFilter(d.finished_date)\n),\n_incidents as(\n  select\n    distinct i.id as issue_id,\n    i.created_date,\n    pm.project_name\n  from\n    incidents i\n    join project_mapping pm on i.scope_id = pm.row_id\n    and i.`table` = pm.`table`\n    left join board_issues bi on bi.issue_id = i.id and bi.board_id = i.scope_id\n  where\n    -- choose your project_name\n    pm.project_name in ($project)\n    and (\n      bi.project_name in (${project})\n      or not exists (\n        select 1 from board_issues b2\n        where b2.board_id = i.scope_id\n          and b2.project_name is not null and b2.project_name <> ''\n      )\n    )\n    and $__timeFilter(i.created_date)\n)\nselect\n  finished_date as 'Time (Ascending)',\n  deployment_id as 'Entity ID',\n  'DEPLOYMENT' as 'Entity Type (Deployment/Incident)'\nfrom\n  _deployments\nunion\nselect\n  created_date as 'Time (Ascending)',\n  issue_id as 'Entity ID',\n  'INCIDENT' as 'Entity Type (Deployment/Incident)'\nfrom\n  _incidents\norder by\n  1",
           "refId": "A",
           "select": [
             [

grafana/dashboards/mysql/dora-debug.json

@@ -409,7 +409,7 @@
           "format": "table",
           "hide": false,
           "rawQuery": true,
-          "rawSql": "--  ***** 2023 report ***** --\n--  Metric 4: Failed deployment recovery time\nwith _deployments as (\n  SELECT\n    cdc.cicd_deployment_id as deployment_id,\n    max(cdc.finished_date) as deployment_finished_date\n  FROM\n    cicd_deployment_commits cdc\n    JOIN project_mapping pm on cdc.cicd_scope_id = pm.row_id\n    and pm.`table` = 'cicd_scopes'\n  WHERE\n    pm.project_name in ($project)\n    and cdc.result = 'SUCCESS'\n    and cdc.environment = 'PRODUCTION'\n  GROUP BY\n    1\n  HAVING\n    $__timeFilter(max(cdc.finished_date))\n),\n_incidents_for_deployments as (\n  SELECT\n    i.id as incident_id,\n    i.created_date as incident_create_date,\n    i.resolution_date as incident_resolution_date,\n    fd.deployment_id as caused_by_deployment,\n    fd.deployment_finished_date,\n    date_format(fd.deployment_finished_date, '%y/%m') as deployment_finished_month\n  FROM\n    incidents i\n    left join project_incident_deployment_relationships pim on i.id = pim.id\n    join _deployments fd on pim.deployment_id = fd.deployment_id\n  WHERE\n    $__timeFilter(i.resolution_date)\n),\n--  ***** 2021 report ***** --\n-- Metric 4: Median time to restore service \n_incidents as (\n  -- get the incidents created within the selected time period in the top-right corner\n  SELECT\n    distinct i.id,\n    cast(lead_time_minutes as signed) as lead_time_minutes\n  FROM\n    incidents i\n    join project_mapping pm on i.scope_id = pm.row_id\n    and i.`table` = pm.`table`\n    and pm.`table` = 'boards'\n  WHERE\n    pm.project_name in (${project})\n    and $__timeFilter(i.created_date)\n)\nSELECT\n  COUNT(incident_id) AS total_count\nFROM\n  _incidents_for_deployments",
+          "rawSql": "--  ***** 2023 report ***** --\n--  Metric 4: Failed deployment recovery time\nwith _deployments as (\n  SELECT\n    cdc.cicd_deployment_id as deployment_id,\n    max(cdc.finished_date) as deployment_finished_date\n  FROM\n    cicd_deployment_commits cdc\n    JOIN project_mapping pm on cdc.cicd_scope_id = pm.row_id\n    and pm.`table` = 'cicd_scopes'\n  WHERE\n    pm.project_name in ($project)\n    and cdc.result = 'SUCCESS'\n    and cdc.environment = 'PRODUCTION'\n  GROUP BY\n    1\n  HAVING\n    $__timeFilter(max(cdc.finished_date))\n),\n_incidents_for_deployments as (\n  SELECT\n    i.id as incident_id,\n    i.created_date as incident_create_date,\n    i.resolution_date as incident_resolution_date,\n    fd.deployment_id as caused_by_deployment,\n    fd.deployment_finished_date,\n    date_format(fd.deployment_finished_date, '%y/%m') as deployment_finished_month\n  FROM\n    incidents i\n    left join project_incident_deployment_relationships pim on i.id = pim.id\n    join _deployments fd on pim.deployment_id = fd.deployment_id\n  WHERE\n    $__timeFilter(i.resolution_date)\n),\n--  ***** 2021 report ***** --\n-- Metric 4: Median time to restore service \n_incidents as (\n  -- get the incidents created within the selected time period in the top-right corner\n  SELECT\n    distinct i.id,\n    cast(lead_time_minutes as signed) as lead_time_minutes\n  FROM\n    incidents i\n    join project_mapping pm on i.scope_id = pm.row_id\n    and i.`table` = pm.`table`\n    and pm.`table` = 'boards'\n    left join board_issues bi on bi.issue_id = i.id and bi.board_id = i.scope_id\n  WHERE\n    pm.project_name in (${project})\n    and (\n      bi.project_name in (${project})\n      or not exists (\n        select 1 from board_issues b2\n        where b2.board_id = i.scope_id\n          and b2.project_name is not null and b2.project_name <> ''\n      )\n    )\n    and $__timeFilter(i.created_date)\n)\nSELECT\n  COUNT(incident_id) AS total_count\nFROM\n  _incidents_for_deployments",
           "refId": "D",
           "sql": {
             "columns": [

grafana/dashboards/mysql/dora-details-change-failure-rate.json

@@ -121,7 +121,7 @@
           "format": "table",
           "hide": false,
           "rawQuery": true,
-          "rawSql": "--  ***** 2021 report ***** --\n-- Metric 4: Median time to restore service \nwith _deployments as (\n  SELECT\n    cdc.cicd_deployment_id as deployment_id,\n    max(cdc.finished_date) as deployment_finished_date\n  FROM\n    cicd_deployment_commits cdc\n    JOIN project_mapping pm on cdc.cicd_scope_id = pm.row_id\n    and pm.`table` = 'cicd_scopes'\n  WHERE\n    pm.project_name in ($project)\n    and cdc.result = 'SUCCESS'\n    and cdc.environment = 'PRODUCTION'\n  GROUP BY\n    1\n  HAVING\n    $__timeFilter(max(cdc.finished_date))\n),\n_incidents as (\n  -- get the incidents created within the selected time period in the top-right corner\n  SELECT\n    distinct i.id,\n    cast(lead_time_minutes as signed) as lead_time_minutes\n  FROM\n    incidents i\n    join project_mapping pm on i.scope_id = pm.row_id\n    and pm.`table` = i.`table`\n  WHERE\n    pm.project_name in (${project})\n    and $__timeFilter(i.resolution_date)\n),\n_median_mttr_ranks as(\n  SELECT\n    *,\n    percent_rank() over(\n      order by\n        lead_time_minutes\n    ) as ranks\n  FROM\n    _incidents\n),\n_median_mttr as(\n  SELECT\n    max(lead_time_minutes) as median_time_to_resolve\n  FROM\n    _median_mttr_ranks\n  WHERE\n    ranks <= 0.5\n)\nSELECT\n  median_time_to_resolve / 60 AS median_time_to_resolve_in_hours\nFROM\n  _median_mttr",
+          "rawSql": "--  ***** 2021 report ***** --\n-- Metric 4: Median time to restore service \nwith _deployments as (\n  SELECT\n    cdc.cicd_deployment_id as deployment_id,\n    max(cdc.finished_date) as deployment_finished_date\n  FROM\n    cicd_deployment_commits cdc\n    JOIN project_mapping pm on cdc.cicd_scope_id = pm.row_id\n    and pm.`table` = 'cicd_scopes'\n  WHERE\n    pm.project_name in ($project)\n    and cdc.result = 'SUCCESS'\n    and cdc.environment = 'PRODUCTION'\n  GROUP BY\n    1\n  HAVING\n    $__timeFilter(max(cdc.finished_date))\n),\n_incidents as (\n  -- get the incidents created within the selected time period in the top-right corner\n  SELECT\n    distinct i.id,\n    cast(lead_time_minutes as signed) as lead_time_minutes\n  FROM\n    incidents i\n    join project_mapping pm on i.scope_id = pm.row_id\n    and pm.`table` = i.`table`\n    left join board_issues bi on bi.issue_id = i.id and bi.board_id = i.scope_id\n  WHERE\n    pm.project_name in (${project})\n    and (\n      bi.project_name in (${project})\n      or not exists (\n        select 1 from board_issues b2\n        where b2.board_id = i.scope_id\n          and b2.project_name is not null and b2.project_name <> ''\n      )\n    )\n    and $__timeFilter(i.resolution_date)\n),\n_median_mttr_ranks as(\n  SELECT\n    *,\n    percent_rank() over(\n      order by\n        lead_time_minutes\n    ) as ranks\n  FROM\n    _incidents\n),\n_median_mttr as(\n  SELECT\n    max(lead_time_minutes) as median_time_to_resolve\n  FROM\n    _median_mttr_ranks\n  WHERE\n    ranks <= 0.5\n)\nSELECT\n  median_time_to_resolve / 60 AS median_time_to_resolve_in_hours\nFROM\n  _median_mttr",
           "refId": "D",
           "sql": {
             "columns": [