feat: add dora drill down and upgrade dora

grafana/dashboards/DORADebug.json

@@ -3369,7 +3369,7 @@
           "metricColumn": "none",
           "queryType": "randomWalk",
           "rawQuery": true,
-          "rawSql": "-- Metric 3: change failure rate\nwith _deployments as (\n-- When deploying multiple commits in one pipeline, GitLab and BitBucket may generate more than one deployment. However, DevLake consider these deployments as ONE production deployment and use the last one's finished_date as the finished date.\n\tSELECT\n\t\tcdc.cicd_deployment_id as deployment_id,\n\t\tmax(cdc.finished_date) as deployment_finished_date\n\tFROM \n\t\tcicd_deployment_commits cdc\n\t\tJOIN project_mapping pm on cdc.cicd_scope_id = pm.row_id and pm.`table` = 'cicd_scopes'\n\tWHERE\n\t\tpm.project_name in (${project})\n\t\tand cdc.result = 'SUCCESS'\n\t\tand cdc.environment = 'PRODUCTION'\n\tGROUP BY 1\n\tHAVING $__timeFilter(max(cdc.finished_date))\n),\n\n_failure_caused_by_deployments as (\n-- calculate the number of incidents caused by each deployment\n\tSELECT\n\t\td.deployment_id,\n\t\td.deployment_finished_date,\n\t\tcount(distinct case when i.type = 'INCIDENT' then d.deployment_id else null end) as has_incident\n\tFROM\n\t\t_deployments d\n\t\tleft join project_issue_metrics pim on d.deployment_id = pim.deployment_id\n\t\tleft join issues i on pim.id = i.id\n\tGROUP BY 1,2\n),\n\n_change_failure_rate as (\n\tSELECT \n\t\tcase \n\t\t\twhen count(deployment_id) is null then null\n\t\t\telse sum(has_incident)/count(deployment_id) end as change_failure_rate\n\tFROM\n\t\t_failure_caused_by_deployments\n),\n\n_is_collected_data as(\n\tSELECT\n        CASE \n        WHEN COUNT(i.id) = 0 AND COUNT(cdc.id) = 0 THEN 'No All'\n        WHEN COUNT(i.id) = 0 THEN 'No Incidents' \n        WHEN COUNT(cdc.id) = 0 THEN 'No Deployments'\n        END AS is_collected\nFROM\n    (SELECT 1) AS dummy\nLEFT JOIN\n    issues i ON i.type = 'INCIDENT'\nLEFT JOIN\n    cicd_deployment_commits cdc ON 1=1\n)\n\n\nSELECT\n  CASE\n    WHEN ('$dora_report') = '2023' THEN\n\t\t\tCASE  \n\t\t\t\tWHEN is_collected = \"No All\"  THEN \"N/A. Please check if you have collected deployments/incidents.\"\n\t\t\t\tWHEN is_collected = \"No Incidents\"  THEN \"N/A. Please check if you have collected incidents.\"\n\t\t\t\tWHEN is_collected = \"No Deployments\"  THEN \"N/A. Please check if you have collected deployments.\"\n\t\t\t\tWHEN change_failure_rate <= 5 THEN \"0-5%(elite)\"\n\t\t\t\tWHEN change_failure_rate <= .10 THEN \"5%-10%(high)\"\n\t\t\t\tWHEN change_failure_rate <= .15 THEN \"10%-15%(medium)\"\n\t\t\t\tWHEN change_failure_rate > .15 THEN \"> 15%(low)\"\n\t\t\t\tELSE \"N/A. Please check if you have collected deployments/incidents.\"\n\t\t\t\tEND\n\t\tWHEN ('$dora_report') = '2021' THEN\n\t\t\tCASE  \n\t\t\t  WHEN is_collected = \"No All\"  THEN \"N/A. Please check if you have collected deployments/incidents.\"\n\t\t\t\tWHEN is_collected = \"No Incidents\"  THEN \"N/A. Please check if you have collected incidents.\"\n\t\t\t\tWHEN is_collected = \"No Deployments\"  THEN \"N/A. Please check if you have collected deployments.\"\n\t\t\t\tWHEN change_failure_rate <= .15 THEN \"0-15%(elite)\"\n\t\t\t\tWHEN change_failure_rate <= .20 THEN \"16%-20%(high)\"\n\t\t\t\tWHEN change_failure_rate <= .30 THEN \"21%-30%(medium)\"\n\t\t\t\tWHEN change_failure_rate > .30 THEN \"> 30%(low)\" \n\t\t\t\tELSE \"N/A. Please check if you have collected deployments/incidents.\"\n\t\t\t\tEND\n\t\tELSE 'Invalid dora report'\n\tEND AS change_failure_rate\nFROM \n\t_change_failure_rate, _is_collected_data",
+          "rawSql": "-- Metric 3: change failure rate\nwith _deployments as (\n-- When deploying multiple commits in one pipeline, GitLab and BitBucket may generate more than one deployment. However, DevLake consider these deployments as ONE production deployment and use the last one's finished_date as the finished date.\n\tSELECT\n\t\tcdc.cicd_deployment_id as deployment_id,\n\t\tmax(cdc.finished_date) as deployment_finished_date\n\tFROM \n\t\tcicd_deployment_commits cdc\n\t\tJOIN project_mapping pm on cdc.cicd_scope_id = pm.row_id and pm.`table` = 'cicd_scopes'\n\tWHERE\n\t\tpm.project_name in (${project})\n\t\tand cdc.result = 'SUCCESS'\n\t\tand cdc.environment = 'PRODUCTION'\n\tGROUP BY 1\n\tHAVING $__timeFilter(max(cdc.finished_date))\n),\n\n_failure_caused_by_deployments as (\n-- calculate the number of incidents caused by each deployment\n\tSELECT\n\t\td.deployment_id,\n\t\td.deployment_finished_date,\n\t\tcount(distinct case when i.type = 'INCIDENT' then d.deployment_id else null end) as has_incident\n\tFROM\n\t\t_deployments d\n\t\tleft join project_issue_metrics pim on d.deployment_id = pim.deployment_id\n\t\tleft join issues i on pim.id = i.id\n\tGROUP BY 1,2\n),\n\n_change_failure_rate as (\n\tSELECT \n\t\tcase \n\t\t\twhen count(deployment_id) is null then null\n\t\t\telse sum(has_incident)/count(deployment_id) end as change_failure_rate\n\tFROM\n\t\t_failure_caused_by_deployments\n),\n\n_is_collected_data as(\n\tSELECT\n        CASE \n        WHEN COUNT(i.id) = 0 AND COUNT(cdc.id) = 0 THEN 'No All'\n        WHEN COUNT(i.id) = 0 THEN 'No Incidents' \n        WHEN COUNT(cdc.id) = 0 THEN 'No Deployments'\n        END AS is_collected\nFROM\n    (SELECT 1) AS dummy\nLEFT JOIN\n    issues i ON i.type = 'INCIDENT'\nLEFT JOIN\n    cicd_deployment_commits cdc ON 1=1\n)\n\n\nSELECT\n  CASE\n    WHEN ('$dora_report') = '2023' THEN\n\t\t\tCASE  \n\t\t\t\tWHEN is_collected = \"No All\"  THEN \"N/A. Please check if you have collected deployments/incidents.\"\n\t\t\t\tWHEN is_collected = \"No Incidents\"  THEN \"N/A. Please check if you have collected incidents.\"\n\t\t\t\tWHEN is_collected = \"No Deployments\"  THEN \"N/A. Please check if you have collected deployments.\"\n\t\t\t\tWHEN change_failure_rate <= .05 THEN \"0-5%(elite)\"\n\t\t\t\tWHEN change_failure_rate <= .10 THEN \"5%-10%(high)\"\n\t\t\t\tWHEN change_failure_rate <= .15 THEN \"10%-15%(medium)\"\n\t\t\t\tWHEN change_failure_rate > .15 THEN \"> 15%(low)\"\n\t\t\t\tELSE \"N/A. Please check if you have collected deployments/incidents.\"\n\t\t\t\tEND\n\t\tWHEN ('$dora_report') = '2021' THEN\n\t\t\tCASE  \n\t\t\t  WHEN is_collected = \"No All\"  THEN \"N/A. Please check if you have collected deployments/incidents.\"\n\t\t\t\tWHEN is_collected = \"No Incidents\"  THEN \"N/A. Please check if you have collected incidents.\"\n\t\t\t\tWHEN is_collected = \"No Deployments\"  THEN \"N/A. Please check if you have collected deployments.\"\n\t\t\t\tWHEN change_failure_rate <= .15 THEN \"0-15%(elite)\"\n\t\t\t\tWHEN change_failure_rate <= .20 THEN \"16%-20%(high)\"\n\t\t\t\tWHEN change_failure_rate <= .30 THEN \"21%-30%(medium)\"\n\t\t\t\tWHEN change_failure_rate > .30 THEN \"> 30%(low)\" \n\t\t\t\tELSE \"N/A. Please check if you have collected deployments/incidents.\"\n\t\t\t\tEND\n\t\tELSE 'Invalid dora report'\n\tEND AS change_failure_rate\nFROM \n\t_change_failure_rate, _is_collected_data",
           "refId": "A",
           "select": [
             [