Jira-Scripte/Console - Maintenance/Unused (inactiv) Workflow Schemes cleaner.groovy
2025-12-14 19:17:45 +01:00

225 lines
7.1 KiB
Groovy

// -----------------------------------------------------------------------------
// Housekeeping: Inaktive Workflow Schemes (ohne Projektzuordnung) löschen
// Jira Cloud - ScriptRunner Console
// -----------------------------------------------------------------------------
import groovy.json.JsonOutput
// --- Konfiguration -----------------------------------------------------------
// false -> inaktive Workflow Schemes (ohne EXCLUDED_IDS) werden GELÖSCHT
// true -> nur Testlauf, es wird NICHT gelöscht
final boolean DRY_RUN = true
// Workflow-Scheme-IDs, die NIEMALS gelöscht werden sollen
// (z.B. Default-System-Schema; ID bitte ggf. anpassen/ergänzen)
final Set<Long> EXCLUDED_IDS = [10000L] as Set
// --- Schritt 1: Alle Workflow Schemes laden (paginiert) ---------------------
List<Map> allSchemes = []
int startAt = 0
int maxResults = 50
boolean finished = false
while (!finished) {
def resp = get("/rest/api/3/workflowscheme?startAt=${startAt}&maxResults=${maxResults}")
.asObject(Map)
if (resp.status != 200) {
logger.error("Konnte Workflow Schemes nicht laden (startAt=${startAt}): ${resp.status} - ${resp.body}")
return "Fehler beim Laden der Workflow Schemes. Siehe Log."
}
def body = resp.body ?: [:]
def values = (body.values ?: []) as List<Map>
allSchemes.addAll(values)
boolean isLast = (body.isLast == true)
int total = (body.total ?: (startAt + values.size())) as int
logger.info "Workflow Schemes geladen: ${allSchemes.size()} (total ~ ${total}), isLast=${isLast}"
if (isLast || values.isEmpty()) {
finished = true
} else {
startAt += maxResults
if (startAt >= total) {
finished = true
}
}
}
logger.info "Anzahl Workflow Schemes insgesamt: ${allSchemes.size()}"
// Map: schemeId -> [scheme: <Objekt>, used: boolean, projects: Set<projectKey>]
def schemeUsage = allSchemes.collectEntries { scheme ->
Long id = (scheme.id as Long)
[
(id): [
scheme : scheme,
used : false,
projects: [] as Set<String>
]
]
}
// --- Schritt 2: Mappings Workflow Scheme <-> Projekte laden -----------------
//
// GET /rest/api/3/workflowscheme/project
// liefert PageBean mit values[ { workflowSchemeId, projectId, projectKey, ... } ]
List<Map> allMappings = []
startAt = 0
finished = false
while (!finished) {
def resp = get("/rest/api/3/workflowscheme/project?startAt=${startAt}&maxResults=${maxResults}")
.asObject(Map)
if (resp.status != 200) {
logger.error("Konnte Workflow-Scheme-Mappings nicht laden (startAt=${startAt}): ${resp.status} - ${resp.body}")
break
}
def body = resp.body ?: [:]
def values = (body.values ?: []) as List<Map>
allMappings.addAll(values)
boolean isLast = (body.isLast == true)
int total = (body.total ?: (startAt + values.size())) as int
logger.info "Workflow-Scheme-Mappings geladen: ${allMappings.size()} (total ~ ${total}), isLast=${isLast}"
if (isLast || values.isEmpty()) {
finished = true
} else {
startAt += maxResults
if (startAt >= total) {
finished = true
}
}
}
// Mappings in schemeUsage eintragen
allMappings.each { m ->
Long schemeId = (m.workflowSchemeId as Long)
String projKey = m.projectKey?.toString()
def entry = schemeUsage[schemeId]
if (entry) {
entry.used = true
if (projKey) {
entry.projects << projKey
}
} else {
logger.warn "Mapping gefunden für Workflow Scheme ID=${schemeId}, das nicht in allSchemes war. Projekt=${projKey}"
}
}
def projectsWithWorkflowScheme = allMappings.collect { it.projectKey }.findAll { it }.toSet()
logger.info "Anzahl Projekte mit Workflow Scheme: ${projectsWithWorkflowScheme.size()}"
// --- Schritt 3: Inaktive (unbenutzte & nicht ausgeschlossene) Schemes -------
def inactive = schemeUsage.values()
.findAll { entry ->
Long id = (entry.scheme.id as Long)
!entry.used && !EXCLUDED_IDS.contains(id)
}
.sort { it.scheme.name?.toString()?.toLowerCase() }
logger.info "Ausgeschlossene Workflow-Scheme-IDs : ${EXCLUDED_IDS.join(', ')}"
logger.info "Inaktive Workflow Schemes (Kandidaten): ${inactive.size()}"
// --- Schritt 4: Optional löschen --------------------------------------------
List<Map> deleted = []
List<Map> failed = []
if (!DRY_RUN) {
inactive.each { entry ->
def s = entry.scheme
Long id = (s.id as Long)
logger.info "Lösche Workflow Scheme ID=${id}, Name=\"${s.name}\" ..."
def delResp = delete("/rest/api/3/workflowscheme/${id}")
.asString()
if (delResp.status in [200, 204]) {
logger.info "Erfolgreich gelöscht: ID=${id}, Name=\"${s.name}\""
deleted << [
id : id,
name : s.name,
description: s.description
]
} else {
logger.warn "Löschen fehlgeschlagen für ID=${id}, Name=\"${s.name}\": Status=${delResp.status}, Body=${delResp.body}"
failed << [
id : id,
name : s.name,
status : delResp.status,
body : delResp.body
]
}
}
} else {
logger.info "DRY_RUN = true -> Es wird NICHT gelöscht, nur Kandidaten ermittelt."
}
// --- Schritt 5: Zusammenfassung ---------------------------------------------
def lines = []
lines << "=== Workflow Schemes Housekeeping ==="
lines << "DRY_RUN : ${DRY_RUN}"
lines << "Gesamt Workflow Schemes : ${allSchemes.size()}"
lines << "Projekte mit Scheme-Mapping : ${projectsWithWorkflowScheme.size()}"
lines << "Ausgeschlossene IDs : ${EXCLUDED_IDS.join(', ')}"
lines << "Inaktive Kandidaten : ${inactive.size()}"
if (!DRY_RUN) {
lines << "Gelöscht : ${deleted.size()}"
lines << "Fehlgeschlagen : ${failed.size()}"
}
lines << ""
lines << "Inaktive (unbenutzte) Schemes, exkl. EXCLUDED_IDS:"
inactive.each { entry ->
def s = entry.scheme
lines << String.format(
"- ID=%s | Name=\"%s\" | Beschreibung=\"%s\" | Projekte=%s",
s.id,
s.name ?: "",
(s.description ?: "").replaceAll('\\s+', ' ').trim(),
entry.projects ?: []
)
}
def result = [
summary : [
dryRun : DRY_RUN,
totalWorkflowSchemes : allSchemes.size(),
projectsWithMapping : projectsWithWorkflowScheme.size(),
excludedIDs : EXCLUDED_IDS,
inactiveCandidates : inactive.size(),
deleted : deleted.size(),
failed : failed.size()
],
inactiveWorkflowSchemes: inactive.collect { e ->
def s = e.scheme
[
id : s.id,
name : s.name,
description : s.description,
projectsUsing: e.projects
]
},
deletedWorkflowSchemes: deleted,
failedDeletions : failed
]
logger.info lines.join("\n")
return lines.join("\n") + "\n\nJSON:\n" + JsonOutput.prettyPrint(JsonOutput.toJson(result))