By type
*** retrieve Truststore and Keystore password
*** actual launch of AAI Babel
01:52:00,953 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could NOT find resource [logback-test.xml]
01:52:00,956 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could NOT find resource [logback.groovy]
01:52:00,957 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Found resource [logback.xml] at [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/classes!/logback.xml]
01:52:01,001 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/classes!/logback.xml] is not of type file
01:52:01,291 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Will scan for changes in [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/classes!/logback.xml]
01:52:01,291 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
01:52:01,298 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] to configuration watch list.
01:52:01,298 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] is not of type file
01:52:01,303 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] to configuration watch list.
01:52:01,303 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] is not of type file
01:52:01,306 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
01:52:01,306 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
01:52:01,307 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
01:52:01,318 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
01:52:01,319 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
01:52:01,319 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
01:52:01,319 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
01:52:01,319 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
01:52:01,319 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
01:52:01,319 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
01:52:01,352 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] to configuration watch list.
01:52:01,352 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] is not of type file
01:52:01,356 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
01:52:01,364 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
01:52:01,374 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:01,420 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] to configuration watch list.
01:52:01,420 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] is not of type file
01:52:01,422 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
01:52:01,426 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
01:52:01,428 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:01,460 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Archive files will be limited to [10 MB] each.
01:52:01,466 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Will use gz compression
01:52:01,468 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Will use the pattern /tmp/spring.log.%d{yyyy-MM-dd}.%i for the active file
01:52:01,472 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - The date pattern is 'yyyy-MM-dd' from file name pattern '/tmp/spring.log.%d{yyyy-MM-dd}.%i.gz'.
01:52:01,472 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Roll-over at midnight.
01:52:01,480 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Setting initial period to Sun May 22 01:52:01 GMT 2022
01:52:01,487 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
01:52:01,488 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
01:52:01,490 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
01:52:01,490 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
01:52:01,491 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
01:52:01,492 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
01:52:01,492 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
01:52:01,494 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1979313356 - Will use zip compression
01:52:01,495 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1979313356 - Will use the pattern /var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log for the active file
01:52:01,498 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log.zip'.
01:52:01,498 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
01:52:01,499 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun May 22 01:52:01 GMT 2022
01:52:01,499 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:01,501 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
01:52:01,501 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
01:52:01,501 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
01:52:01,504 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
01:52:01,507 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
01:52:01,507 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
01:52:01,508 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
01:52:01,508 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
01:52:01,509 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
01:52:01,510 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1975546571 - Will use zip compression
01:52:01,510 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1975546571 - Will use the pattern /var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log for the active file
01:52:01,512 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log.zip'.
01:52:01,512 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
01:52:01,513 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun May 22 01:52:01 GMT 2022
01:52:01,513 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:01,518 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
01:52:01,518 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
01:52:01,518 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
01:52:01,519 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
01:52:01,519 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
01:52:01,519 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
01:52:01,519 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
01:52:01,520 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
01:52:01,520 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
01:52:01,521 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1526298704 - Will use zip compression
01:52:01,522 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1526298704 - Will use the pattern /var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log for the active file
01:52:01,523 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log.zip'.
01:52:01,523 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
01:52:01,524 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun May 22 01:52:01 GMT 2022
01:52:01,524 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:01,526 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
01:52:01,526 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
01:52:01,526 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
01:52:01,526 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
01:52:01,527 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
01:52:01,527 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
01:52:01,527 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
01:52:01,550 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
01:52:01,550 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
01:52:01,552 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1593180232 - Will use zip compression
01:52:01,552 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1593180232 - Will use the pattern /var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log for the active file
01:52:01,553 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log.zip'.
01:52:01,553 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
01:52:01,553 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun May 22 01:52:01 GMT 2022
01:52:01,554 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:01,555 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
01:52:01,555 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
01:52:01,555 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
01:52:01,555 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
01:52:01,561 |-INFO in ch.qos.logback.classic.boolex.GEventEvaluator@48524010 - Expression to evaluate [e.level.toInt() < INFO.toInt()]
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.codehaus.groovy.reflection.CachedClass (jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/groovy-2.5.15.jar!/) to method java.lang.Object.finalize()
WARNING: Please consider reporting this to the maintainers of org.codehaus.groovy.reflection.CachedClass
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
01:52:02,461 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
01:52:02,461 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
01:52:02,461 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
01:52:02,462 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
01:52:02,462 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
01:52:02,462 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
01:52:02,462 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
01:52:02,462 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
01:52:02,462 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
01:52:02,462 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
01:52:02,462 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
01:52:02,462 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
01:52:02,463 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
01:52:02,463 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
01:52:02,463 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
01:52:02,463 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
01:52:02,463 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
01:52:02,463 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
01:52:02,463 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
01:52:02,463 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
01:52:02,463 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
01:52:02,464 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
01:52:02,464 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
01:52:02,464 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
01:52:02,464 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
01:52:02,464 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
01:52:02,464 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
01:52:02,464 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
01:52:02,464 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
01:52:02,464 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
01:52:02,465 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
01:52:02,465 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
01:52:02,465 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
01:52:02,465 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
01:52:02,466 |-INFO in ch.qos.logback.classic.joran.JoranConfigurator@6bbe85a8 - Registering current configuration as safe fallback point
01:52:03,356 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting.
01:52:03,359 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
01:52:03,359 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting.
01:52:03,360 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
01:52:03,360 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting.
01:52:03,361 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
01:52:03,361 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting.
01:52:03,361 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
01:52:03,356 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting.
01:52:03,359 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
01:52:03,359 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting.
01:52:03,360 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
01:52:03,360 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting.
01:52:03,361 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
01:52:03,361 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting.
01:52:03,361 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
01:52:03,381 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Will scan for changes in [file:/opt/app/babel/config/logback.xml]
01:52:03,381 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
01:52:03,382 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] to configuration watch list.
01:52:03,382 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@11bb571c - URL [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] is not of type file
01:52:03,386 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] to configuration watch list.
01:52:03,386 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@11bb571c - URL [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] is not of type file
01:52:03,451 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
01:52:03,452 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
01:52:03,452 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
01:52:03,452 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
01:52:03,452 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating ERROR level on Logger[org.apache.catalina.startup.DigesterFactory] onto the JUL framework
01:52:03,454 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
01:52:03,454 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating ERROR level on Logger[org.apache.catalina.util.LifecycleBase] onto the JUL framework
01:52:03,454 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
01:52:03,454 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.apache.coyote.http11.Http11NioProtocol] onto the JUL framework
01:52:03,455 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
01:52:03,455 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.apache.sshd.common.util.SecurityUtils] onto the JUL framework
01:52:03,455 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
01:52:03,455 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.apache.tomcat.util.net.NioSelectorPool] onto the JUL framework
01:52:03,456 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
01:52:03,456 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating ERROR level on Logger[org.eclipse.jetty.util.component.AbstractLifeCycle] onto the JUL framework
01:52:03,456 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
01:52:03,456 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.hibernate.validator.internal.util.Version] onto the JUL framework
01:52:03,457 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] to configuration watch list.
01:52:03,457 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@11bb571c - URL [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] is not of type file
01:52:03,460 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
01:52:03,461 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
01:52:03,461 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:03,463 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] to configuration watch list.
01:52:03,463 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@11bb571c - URL [jar:file:/opt/app/babel/babel-1.9.5.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] is not of type file
01:52:03,466 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
01:52:03,466 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
01:52:03,466 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:03,468 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@302366050 - Archive files will be limited to [10 MB] each.
01:52:03,468 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@302366050 - Will use gz compression
01:52:03,469 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@302366050 - Will use the pattern /tmp/spring.log.%d{yyyy-MM-dd}.%i for the active file
01:52:03,469 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@6337c201 - The date pattern is 'yyyy-MM-dd' from file name pattern '/tmp/spring.log.%d{yyyy-MM-dd}.%i.gz'.
01:52:03,469 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@6337c201 - Roll-over at midnight.
01:52:03,470 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@6337c201 - Setting initial period to Sun May 22 01:52:01 GMT 2022
01:52:03,470 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
01:52:03,470 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
01:52:03,471 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
01:52:03,474 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating INFO level on Logger[ROOT] onto the JUL framework
01:52:03,474 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
01:52:03,474 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
01:52:03,474 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
01:52:03,475 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
01:52:03,475 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@831654622 - Will use zip compression
01:52:03,476 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@831654622 - Will use the pattern /var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log for the active file
01:52:03,476 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log.zip'.
01:52:03,476 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
01:52:03,477 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun May 22 01:52:01 GMT 2022
01:52:03,477 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:03,478 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
01:52:03,478 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
01:52:03,478 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
01:52:03,478 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
01:52:03,478 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
01:52:03,479 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
01:52:03,479 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
01:52:03,479 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
01:52:03,479 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
01:52:03,480 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@491273700 - Will use zip compression
01:52:03,480 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@491273700 - Will use the pattern /var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log for the active file
01:52:03,480 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log.zip'.
01:52:03,481 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
01:52:03,481 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun May 22 01:52:01 GMT 2022
01:52:03,481 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:03,482 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
01:52:03,482 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
01:52:03,482 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
01:52:03,482 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
01:52:03,482 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
01:52:03,482 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
01:52:03,482 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
01:52:03,483 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
01:52:03,483 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
01:52:03,483 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1077072774 - Will use zip compression
01:52:03,484 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1077072774 - Will use the pattern /var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log for the active file
01:52:03,484 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log.zip'.
01:52:03,485 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
01:52:03,485 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun May 22 01:52:01 GMT 2022
01:52:03,485 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:03,486 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
01:52:03,486 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
01:52:03,486 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
01:52:03,486 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
01:52:03,486 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
01:52:03,486 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
01:52:03,486 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
01:52:03,487 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
01:52:03,487 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
01:52:03,487 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@684822005 - Will use zip compression
01:52:03,487 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@684822005 - Will use the pattern /var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log for the active file
01:52:03,488 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log.zip'.
01:52:03,488 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
01:52:03,488 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun May 22 01:52:01 GMT 2022
01:52:03,489 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:03,489 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
01:52:03,489 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
01:52:03,489 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
01:52:03,490 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
01:52:03,490 |-INFO in ch.qos.logback.classic.boolex.GEventEvaluator@934b6cb - Expression to evaluate [e.level.toInt() < INFO.toInt()]
01:52:03,598 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
01:52:03,598 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
01:52:03,599 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
01:52:03,599 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
01:52:03,599 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [STDOUT]
01:52:03,599 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
01:52:03,601 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
01:52:03,601 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [AsyncSysOut]
01:52:03,601 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [STDOUT] to ch.qos.logback.classic.AsyncAppender[AsyncSysOut]
01:52:03,601 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Attaching appender named [STDOUT] to AsyncAppender.
01:52:03,601 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Setting discardingThreshold to 51
01:52:03,601 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
01:52:03,602 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
01:52:03,602 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
01:52:03,602 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[ROOT]
01:52:03,602 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
01:52:03,602 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating INFO level on Logger[com.att.eelf] onto the JUL framework
01:52:03,602 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
01:52:03,602 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
01:52:03,602 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf]
01:52:03,602 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
01:52:03,602 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating INFO level on Logger[com.att.eelf.debug] onto the JUL framework
01:52:03,602 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
01:52:03,602 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
01:52:03,602 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.debug]
01:52:03,602 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
01:52:03,602 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating INFO level on Logger[com.att.eelf.audit] onto the JUL framework
01:52:03,603 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
01:52:03,603 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
01:52:03,603 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.audit]
01:52:03,603 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
01:52:03,603 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating INFO level on Logger[com.att.eelf.metrics] onto the JUL framework
01:52:03,603 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
01:52:03,603 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
01:52:03,603 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.metrics]
01:52:03,603 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
01:52:03,603 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating INFO level on Logger[com.att] onto the JUL framework
01:52:03,603 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
01:52:03,603 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.springframework] onto the JUL framework
01:52:03,604 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
01:52:03,604 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.springframework.beans] onto the JUL framework
01:52:03,604 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
01:52:03,604 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.springframework.web] onto the JUL framework
01:52:03,604 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
01:52:03,604 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.apache] onto the JUL framework
01:52:03,605 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
01:52:03,605 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.apache.commons] onto the JUL framework
01:52:03,605 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
01:52:03,605 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.apache.camel] onto the JUL framework
01:52:03,606 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
01:52:03,606 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.apache.cxf] onto the JUL framework
01:52:03,606 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
01:52:03,606 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.apache.camel.processor.interceptor] onto the JUL framework
01:52:03,607 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
01:52:03,607 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.apache.cxf.jaxrs.interceptor] onto the JUL framework
01:52:03,607 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
01:52:03,607 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.apache.cxf.service] onto the JUL framework
01:52:03,607 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
01:52:03,608 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.restlet] onto the JUL framework
01:52:03,608 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
01:52:03,608 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[org.apache.camel.component.restlet] onto the JUL framework
01:52:03,608 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
01:52:03,608 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[ch.qos.logback.classic] onto the JUL framework
01:52:03,608 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
01:52:03,608 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7c51f34b - Propagating WARN level on Logger[ch.qos.logback.core] onto the JUL framework
01:52:03,609 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
01:52:03,609 |-INFO in org.springframework.boot.logging.logback.SpringBootJoranConfigurator@4e31276e - Registering current configuration as safe fallback point
. ____ _ __ _ _
/\\ / ___'_ __ _ _(_)_ __ __ _ \ \ \ \
( ( )\___ | '_ | '_| | '_ \/ _` | \ \ \ \
\\/ ___)| |_)| | | | | || (_| | ) ) ) )
' |____| .__|_| |_|_| |_\__, | / / / /
=========|_|==============|___/=/_/_/_/
:: Spring Boot :: (v2.1.12.RELEASE)
2022-05-22 01:52:04.081 INFO 10 --- [ main] org.eclipse.jetty.util.log : Logging initialized @3700ms to org.eclipse.jetty.util.log.Slf4jLog
2022-05-22T01:52:04.081Z||main|||||INFO|org.eclipse.jetty.util.log||Logging initialized @3700ms to org.eclipse.jetty.util.log.Slf4jLog
2022-05-22 01:52:06.835 INFO 10 --- [ main] org.eclipse.jetty.server.Server : jetty-9.4.25.v20191220; built: 2019-12-20T17:00:00.294Z; git: a9729c7e7f33a459d2616a8f9e9ba8a90f432e95; jvm 11.0.9+11
2022-05-22T01:52:06.835Z||main|||||INFO|org.eclipse.jetty.server.Server||jetty-9.4.25.v20191220; built: 2019-12-20T17:00:00.294Z; git: a9729c7e7f33a459d2616a8f9e9ba8a90f432e95; jvm 11.0.9+11
2022-05-22 01:52:06.881 INFO 10 --- [ main] o.e.j.s.h.ContextHandler.application : Initializing Spring embedded WebApplicationContext
2022-05-22T01:52:06.881Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring embedded WebApplicationContext
2022-05-22 01:52:07.143 INFO 10 --- [ main] org.eclipse.jetty.server.session : DefaultSessionIdManager workerName=node0
2022-05-22 01:52:07.143 INFO 10 --- [ main] org.eclipse.jetty.server.session : No SessionScavenger set, using defaults
2022-05-22T01:52:07.143Z||main|||||INFO|org.eclipse.jetty.server.session||DefaultSessionIdManager workerName=node0
2022-05-22T01:52:07.143Z||main|||||INFO|org.eclipse.jetty.server.session||No SessionScavenger set, using defaults
2022-05-22 01:52:07.145 INFO 10 --- [ main] org.eclipse.jetty.server.session : node0 Scavenging every 660000ms
2022-05-22T01:52:07.145Z||main|||||INFO|org.eclipse.jetty.server.session||node0 Scavenging every 660000ms
2022-05-22 01:52:07.158 INFO 10 --- [ main] o.e.jetty.server.handler.ContextHandler : Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@110844f6{application,/services/babel-service,[file:///tmp/jetty-docbase.5999270760857073902.9516/],AVAILABLE}
2022-05-22T01:52:07.158Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler||Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@110844f6{application,/services/babel-service,[file:///tmp/jetty-docbase.5999270760857073902.9516/],AVAILABLE}
2022-05-22 01:52:07.159 INFO 10 --- [ main] org.eclipse.jetty.server.Server : Started @6781ms
2022-05-22T01:52:07.159Z||main|||||INFO|org.eclipse.jetty.server.Server||Started @6781ms
2022-05-22 01:52:08.662 INFO 10 --- [ main] o.e.j.s.h.ContextHandler.application : Initializing Spring DispatcherServlet 'dispatcherServlet'
2022-05-22T01:52:08.662Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring DispatcherServlet 'dispatcherServlet'
2022-05-22 01:52:09.012 INFO 10 --- [ main] o.e.jetty.util.ssl.SslContextFactory : x509=X509@73d3e555(aai@aai.onap.org,h=[aai, aai-babel, aai-babel.onap, aai-graphadmin, aai-graphadmin.onap, aai-modelloader, aai-modelloader.onap, aai-search-data.onap, aai-sparky-be.onap, aai.api.simpledemo.onap.org, aai.elasticsearch.simpledemo.onap.org, aai.gremlinserver.simpledemo.onap.org, aai.hbase.simpledemo.onap.org, aai.onap, aai.searchservice.simpledemo.onap.org, aai.simpledemo.onap.org, aai.ui.simpledemo.onap.org],w=[]) for Server@2b037cfc[provider=null,keyStore=file:///opt/app/osaaf/local/org.onap.aai.p12,trustStore=file:///opt/app/osaaf/local/org.onap.aai.trust.jks]
2022-05-22T01:52:09.012Z||main|AAI-BAS||||INFO|org.eclipse.jetty.util.ssl.SslContextFactory||x509=X509@73d3e555(aai@aai.onap.org,h=[aai, aai-babel, aai-babel.onap, aai-graphadmin, aai-graphadmin.onap, aai-modelloader, aai-modelloader.onap, aai-search-data.onap, aai-sparky-be.onap, aai.api.simpledemo.onap.org, aai.elasticsearch.simpledemo.onap.org, aai.gremlinserver.simpledemo.onap.org, aai.hbase.simpledemo.onap.org, aai.onap, aai.searchservice.simpledemo.onap.org, aai.simpledemo.onap.org, aai.ui.simpledemo.onap.org],w=[]) for Server@2b037cfc[provider=null,keyStore=file:///opt/app/osaaf/local/org.onap.aai.p12,trustStore=file:///opt/app/osaaf/local/org.onap.aai.trust.jks]
2022-05-22 01:52:09.190 INFO 10 --- [ main] o.e.jetty.server.AbstractConnector : Started ServerConnector@704b2127{SSL,[ssl, http/1.1]}{0.0.0.0:9516}
2022-05-22T01:52:09.190Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.AbstractConnector||Started ServerConnector@704b2127{SSL,[ssl, http/1.1]}{0.0.0.0:9516}
2022-05-22T03:18:18.384Z|[df027556-9803-4034-a557-a9cabd711b6a]|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], User-Agent=[Java/11.0.9], Connection=[keep-alive], Host=[aai-babel.onap:9516], X-TransactionId=[[df027556-9803-4034-a557-a9cabd711b6a]], Content-Length=[95525], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicOnboardKjrtjn-csar.csar","csar":"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"}
2022-05-22T03:18:18.394Z|[df027556-9803-4034-a557-a9cabd711b6a]|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: RequestHeaders [requestId=null, instanceId=null, transactionId=[df027556-9803-4034-a557-a9cabd711b6a]]
2022-05-22T03:18:18.395Z|[df027556-9803-4034-a557-a9cabd711b6a]|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned a35e759b-34dd-43a3-880c-cbb11d0524f1
2022-05-22T03:18:18.416Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: Starting to process csarArchive to convert contents to XML artifacts
2022-05-22T03:18:18.421Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-BasicOnboardKjrtjn-csar.csar
2022-05-22T03:18:18.496Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicOnboardKjrtjn-template.yml
2022-05-22T03:18:18.503Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicOnboardKjrtjn-template-interface.yml
2022-05-22T03:18:18.504Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasiconboardkjrtjnComputeNodesHeatUbuntu18-template.yml
2022-05-22T03:18:18.505Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Extneutroncp-template.yml
2022-05-22T03:18:18.506Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Securityrules-template.yml
2022-05-22T03:18:18.508Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardKjrtjnNodesUbuntu18cvfc-template.yml
2022-05-22T03:18:18.511Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardKjrtjnNodesUbuntu18cvfc-template-interface.yml
2022-05-22T03:18:18.516Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardKjrtjn-template.yml
2022-05-22T03:18:18.518Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardKjrtjn-template-interface.yml
2022-05-22T03:18:18.521Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/data.yml
2022-05-22T03:18:18.527Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/groups.yml
2022-05-22T03:18:18.528Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/policies.yml
2022-05-22T03:18:18.530Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/annotations.yml
2022-05-22T03:18:18.531Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/relationships.yml
2022-05-22T03:18:18.533Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/artifacts.yml
2022-05-22T03:18:18.534Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/capabilities.yml
2022-05-22T03:18:18.535Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/interfaces.yml
2022-05-22T03:18:18.536Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/nodes.yml
2022-05-22T03:18:18.553Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Artifacts/org.openecomp.resource.vf.BasicOnboardKjrtjn_v1.0/Deployment/HEAT/base_ubuntu18.yaml
2022-05-22T03:18:18.559Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#generateArtifacts|BABEL0001I Distribution event: Generating XML for 19 CSAR artifacts.
2022-05-22 03:18:18.901 INFO 10 --- [tp1008612116-27] org.reflections.Reflections : Reflections took 19 ms to scan 1 urls, producing 4 keys and 4 values
2022-05-22T03:18:18.901Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 19 ms to scan 1 urls, producing 4 keys and 4 values
2022-05-22 03:18:19.523 INFO 10 --- [tp1008612116-27] org.reflections.Reflections : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2022-05-22T03:18:19.523Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_name" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_order" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network_role" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_related_networks" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_subnetpoolid" is not provided
2022-05-22 03:18:22.123 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-05-22 03:18:22.124 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22T03:18:22.123Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-05-22 03:18:22.124 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 9 Parsing Warnings occurred...
2022-05-22T03:18:22.124Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22T03:18:22.124Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 9 Parsing Warnings occurred...
2022-05-22 03:18:22.124 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [port_ubuntu18_admin_plane_port_0_name, port_ubuntu18_admin_plane_port_0_order, port_ubuntu18_admin_plane_port_0_vlan_requirements, nfc_function, port_ubuntu18_admin_plane_port_0_network_role, port_ubuntu18_admin_plane_port_0_related_networks, port_ubuntu18_admin_plane_port_0_subnetpoolid]. CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22T03:18:22.124Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [port_ubuntu18_admin_plane_port_0_name, port_ubuntu18_admin_plane_port_0_order, port_ubuntu18_admin_plane_port_0_vlan_requirements, nfc_function, port_ubuntu18_admin_plane_port_0_network_role, port_ubuntu18_admin_plane_port_0_related_networks, port_ubuntu18_admin_plane_port_0_subnetpoolid]. CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22 03:18:22.124 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22T03:18:22.124Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22 03:18:22.125 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[assingment_method, supplemental_data]". CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22 03:18:22.125 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22T03:18:22.125Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[assingment_method, supplemental_data]". CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22T03:18:22.125Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22 03:18:22.125 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE001]: TypeMismatchError: "[ubuntu18_admin_security_group]" is not a map. The type is "json". CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22T03:18:22.125Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE001]: TypeMismatchError: "[ubuntu18_admin_security_group]" is not a map. The type is "json". CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22 03:18:22.125 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [unit, type]. CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22T03:18:22.125Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [unit, type]. CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22 03:18:22.125 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22 03:18:22.125 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_KJrTJN 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22T03:18:22.125Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22T03:18:22.125Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_KJrTJN 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22 03:18:22.126 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22 03:18:22.126 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-05-22T03:18:22.126Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp14723876197020789957.csar
2022-05-22T03:18:22.126Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-05-22T03:18:22.498Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-05-22T03:18:22.606Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-05-22T03:18:22.669Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: 3 XML artifact(s) have been generated
2022-05-22T03:18:22.670Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-05-22 03:18:22.676 INFO 10 --- [tp1008612116-27] org.reflections.Reflections : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2022-05-22T03:18:22.676Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_name" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_order" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network_role" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_related_networks" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_subnetpoolid" is not provided
2022-05-22 03:18:24.675 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-05-22 03:18:24.675 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22T03:18:24.675Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-05-22 03:18:24.676 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 9 Parsing Warnings occurred...
2022-05-22T03:18:24.675Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22 03:18:24.676 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [port_ubuntu18_admin_plane_port_0_name, port_ubuntu18_admin_plane_port_0_order, port_ubuntu18_admin_plane_port_0_vlan_requirements, nfc_function, port_ubuntu18_admin_plane_port_0_network_role, port_ubuntu18_admin_plane_port_0_related_networks, port_ubuntu18_admin_plane_port_0_subnetpoolid]. CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22T03:18:24.676Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 9 Parsing Warnings occurred...
2022-05-22 03:18:24.676 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22T03:18:24.676Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [port_ubuntu18_admin_plane_port_0_name, port_ubuntu18_admin_plane_port_0_order, port_ubuntu18_admin_plane_port_0_vlan_requirements, nfc_function, port_ubuntu18_admin_plane_port_0_network_role, port_ubuntu18_admin_plane_port_0_related_networks, port_ubuntu18_admin_plane_port_0_subnetpoolid]. CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22 03:18:24.676 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[assingment_method, supplemental_data]". CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22T03:18:24.676Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22 03:18:24.676 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22T03:18:24.676Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[assingment_method, supplemental_data]". CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22 03:18:24.676 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE001]: TypeMismatchError: "[ubuntu18_admin_security_group]" is not a map. The type is "json". CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22T03:18:24.676Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22T03:18:24.676Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE001]: TypeMismatchError: "[ubuntu18_admin_security_group]" is not a map. The type is "json". CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22 03:18:24.677 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [unit, type]. CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22 03:18:24.677 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22T03:18:24.677Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [unit, type]. CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22T03:18:24.677Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22 03:18:24.677 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_KJrTJN 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22 03:18:24.677 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22T03:18:24.677Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_KJrTJN 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22 03:18:24.677 WARN 10 --- [tp1008612116-27] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-05-22T03:18:24.677Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp2194864593168320239.csar
2022-05-22T03:18:24.677Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-05-22T03:18:24.679Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-05-22T03:18:24.693Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0001I Distribution event: org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts
2022-05-22T03:18:24.702Z|a35e759b-34dd-43a3-880c-cbb11d0524f1|qtp1008612116-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-basic_onboard_KJrTJN-service-1.0.xml","type":"MODEL","payload":"\n 574971e1-0e76-4972-a5c4-a3c75bdc2dc2 \n service \n Network Service \n \n \n edf3666d-73e1-4ce9-b536-a946197a08c6 \n basic_onboard_KJrTJN \n 1.0 \n service \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n fa12a5c2-aa2a-4911-a6e3-64ef2511651b \n \n \n model.model-invariant-id \n 9b450688-308a-410f-9d35-5ad5a4c92ea5 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 46b92144-923a-4d20-b85a-3cbd847668a9 \n \n \n model.model-invariant-id \n 82194af1-3c2c-485a-8f44-420e22a9eaa4 \n \n \n \n \n \n \n \n "},{"name":"AAI-BasicOnboardKjrtjn..base_ubuntu18..module-0-resource-1.xml","type":"MODEL","payload":"\n c50a2a39-a96d-437c-a17f-9637c7f09d01 \n resource \n \n \n 702f87b2-e6b7-470d-835a-29f9a0204082 \n BasicOnboardKjrtjn..base_ubuntu18..module-0 \n 1 \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n f6a038c2-820c-42ba-8c2b-375e24e8f932 \n \n \n model.model-invariant-id \n 3f4c7204-739b-4bbb-87a7-8a6856439c90 \n \n \n \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n abcc54bc-bb74-49dc-9043-7f7171707545 \n \n \n model.model-invariant-id \n 97c26c99-6870-44c1-8a07-1d900d3f4ce6 \n \n \n \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 36200fb5-f251-4f5d-a520-7c5ad5c2cd4b \n \n \n model.model-invariant-id \n bace8d1c-a261-4041-9e37-823117415d0f \n \n \n \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 5761e0a7-c6df-4d8a-9ebd-b8f445054dec \n \n \n model.model-invariant-id \n 96129eb9-f0de-4e05-8af2-73146473f766 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 8ecb2c5d-7176-4317-a255-26274edfdd53 \n \n \n model.model-invariant-id \n ff69d4e0-a8e8-4108-bdb0-dd63217e63c7 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n c00563ae-812b-4e62-8330-7c4d0f47088a \n \n \n model.model-invariant-id \n ef86f9c5-2165-44f3-8fc3-96018b609ea5 \n \n \n \n \n \n \n \n "},{"name":"AAI-basic_onboard_KJrTJN-resource-1.0.xml","type":"MODEL","payload":"\n 9b450688-308a-410f-9d35-5ad5a4c92ea5 \n resource \n \n \n fa12a5c2-aa2a-4911-a6e3-64ef2511651b \n basic_onboard_KJrTJN \n 1.0 \n VF \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 702f87b2-e6b7-470d-835a-29f9a0204082 \n \n \n model.model-invariant-id \n c50a2a39-a96d-437c-a17f-9637c7f09d01 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 93a6166f-b3d5-4f06-b4ba-aed48d009ad9 \n \n \n model.model-invariant-id \n acc6edd8-a8d4-4b93-afaa-0994068be14c \n \n \n \n \n \n \n \n "}]
2022-05-22T03:20:42.962Z|[e0f88c30-e160-46a4-980f-1411b83d82bd]|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], User-Agent=[Java/11.0.9], Connection=[keep-alive], Host=[aai-babel.onap:9516], X-TransactionId=[[e0f88c30-e160-46a4-980f-1411b83d82bd]], Content-Length=[70083], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicNetwork-csar.csar","csar":"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"}
2022-05-22T03:20:42.964Z|[e0f88c30-e160-46a4-980f-1411b83d82bd]|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: RequestHeaders [requestId=null, instanceId=null, transactionId=[e0f88c30-e160-46a4-980f-1411b83d82bd]]
2022-05-22T03:20:42.965Z|[e0f88c30-e160-46a4-980f-1411b83d82bd]|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned eed7a319-a194-40d8-ad3e-d5398a90c738
2022-05-22T03:20:42.973Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: Starting to process csarArchive to convert contents to XML artifacts
2022-05-22T03:20:42.973Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-BasicNetwork-csar.csar
2022-05-22T03:20:42.976Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicNetwork-template.yml
2022-05-22T03:20:42.977Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicNetwork-template-interface.yml
2022-05-22T03:20:42.977Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-GenericNeutronnet-template.yml
2022-05-22T03:20:42.978Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Extvl-template.yml
2022-05-22T03:20:42.979Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/data.yml
2022-05-22T03:20:42.981Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/groups.yml
2022-05-22T03:20:42.981Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/policies.yml
2022-05-22T03:20:42.982Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/annotations.yml
2022-05-22T03:20:42.983Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/relationships.yml
2022-05-22T03:20:42.983Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/artifacts.yml
2022-05-22T03:20:42.984Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/capabilities.yml
2022-05-22T03:20:42.985Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/interfaces.yml
2022-05-22T03:20:42.986Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/nodes.yml
2022-05-22T03:20:42.988Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#generateArtifacts|BABEL0001I Distribution event: Generating XML for 13 CSAR artifacts.
2022-05-22 03:20:42.996 INFO 10 --- [tp1008612116-31] org.reflections.Reflections : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2022-05-22T03:20:42.996Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2022-05-22 03:20:43.644 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-05-22 03:20:43.645 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22 03:20:43.645 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-05-22T03:20:43.644Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-05-22T03:20:43.645Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22T03:20:43.645Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-05-22 03:20:43.645 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompNaming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22T03:20:43.645Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompNaming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22 03:20:43.645 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkAssignments" is missing required field(s) "[is_shared_network, supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22T03:20:43.645Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkAssignments" is missing required field(s) "[is_shared_network, supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22 03:20:43.646 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv4SubnetAssignments" is missing required field(s) "[use_ipv4, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22 03:20:43.646 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompHoming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22T03:20:43.646Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv4SubnetAssignments" is missing required field(s) "[use_ipv4, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22 03:20:43.646 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22T03:20:43.646Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompHoming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22T03:20:43.646Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22 03:20:43.646 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkFlows" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22T03:20:43.646Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkFlows" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22 03:20:43.646 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv6SubnetAssignments" is missing required field(s) "[use_ipv6, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22T03:20:43.646Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv6SubnetAssignments" is missing required field(s) "[use_ipv6, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22 03:20:43.647 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "Generic NeutronNet 0" are missing field(s): [network_role, provider_network]. CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22 03:20:43.647 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-05-22T03:20:43.647Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "Generic NeutronNet 0" are missing field(s): [network_role, provider_network]. CSAR name - /tmp/temp13328056977692017864.csar
2022-05-22T03:20:43.647Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-05-22T03:20:43.668Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-05-22T03:20:43.686Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: 2 XML artifact(s) have been generated
2022-05-22T03:20:43.686Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-05-22 03:20:43.690 INFO 10 --- [tp1008612116-31] org.reflections.Reflections : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2022-05-22T03:20:43.690Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2022-05-22 03:20:44.560 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-05-22 03:20:44.560 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp308476655553315582.csar
2022-05-22 03:20:44.560 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-05-22T03:20:44.560Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-05-22T03:20:44.560Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp308476655553315582.csar
2022-05-22T03:20:44.560Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-05-22 03:20:44.560 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompNaming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22 03:20:44.560 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkAssignments" is missing required field(s) "[is_shared_network, supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22T03:20:44.560Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompNaming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22T03:20:44.560Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkAssignments" is missing required field(s) "[is_shared_network, supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22 03:20:44.561 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv4SubnetAssignments" is missing required field(s) "[use_ipv4, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22 03:20:44.561 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompHoming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22T03:20:44.561Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv4SubnetAssignments" is missing required field(s) "[use_ipv4, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22T03:20:44.561Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompHoming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22 03:20:44.561 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22 03:20:44.561 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkFlows" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22T03:20:44.561Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22T03:20:44.561Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkFlows" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22 03:20:44.561 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv6SubnetAssignments" is missing required field(s) "[use_ipv6, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22 03:20:44.561 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "Generic NeutronNet 0" are missing field(s): [network_role, provider_network]. CSAR name - /tmp/temp308476655553315582.csar
2022-05-22T03:20:44.561Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv6SubnetAssignments" is missing required field(s) "[use_ipv6, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp308476655553315582.csar
2022-05-22T03:20:44.561Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "Generic NeutronNet 0" are missing field(s): [network_role, provider_network]. CSAR name - /tmp/temp308476655553315582.csar
2022-05-22 03:20:44.562 WARN 10 --- [tp1008612116-31] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-05-22T03:20:44.562Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-05-22T03:20:44.563Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-05-22T03:20:44.565Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0001I Distribution event: org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts
2022-05-22T03:20:44.566Z|eed7a319-a194-40d8-ad3e-d5398a90c738|qtp1008612116-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-basic_network-service-1.0.xml","type":"MODEL","payload":"\n 74fd9968-d47f-4801-a27a-ba1722592298 \n service \n Network Service \n \n \n 08f27050-e759-4cef-8b3f-50eb7334647f \n basic_network \n 1.0 \n service \n \n \n T \n unbounded \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n aa3dab0a-d986-48c0-bfd7-cceee05bf2aa \n \n \n model.model-invariant-id \n a56a16a1-8f26-41b0-99e6-bb30f214d39d \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 46b92144-923a-4d20-b85a-3cbd847668a9 \n \n \n model.model-invariant-id \n 82194af1-3c2c-485a-8f44-420e22a9eaa4 \n \n \n \n \n \n \n \n "},{"name":"AAI-Generic NeutronNet-resource-1.0.xml","type":"MODEL","payload":"\n a56a16a1-8f26-41b0-99e6-bb30f214d39d \n resource \n \n \n aa3dab0a-d986-48c0-bfd7-cceee05bf2aa \n Generic NeutronNet \n 1.0 \n Generic NeutronNet \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 9111f20f-e680-4001-b83f-19a2fc23bfc1 \n \n \n model.model-invariant-id \n 3d560d81-57d0-438b-a2a1-5334dba0651a \n \n \n \n \n \n \n \n "}]
2022-05-22T03:24:47.738Z|[d2cbd690-0868-4d16-b043-5f59f032fdda]|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], User-Agent=[Java/11.0.9], Connection=[keep-alive], Host=[aai-babel.onap:9516], X-TransactionId=[[d2cbd690-0868-4d16-b043-5f59f032fdda]], Content-Length=[94802], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicVm-csar.csar","csar":"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"}
2022-05-22T03:24:47.739Z|[d2cbd690-0868-4d16-b043-5f59f032fdda]|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: RequestHeaders [requestId=null, instanceId=null, transactionId=[d2cbd690-0868-4d16-b043-5f59f032fdda]]
2022-05-22T03:24:47.740Z|[d2cbd690-0868-4d16-b043-5f59f032fdda]|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned 80fd0c5c-e379-4ea4-b10e-a73dce2b6710
2022-05-22T03:24:47.746Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: Starting to process csarArchive to convert contents to XML artifacts
2022-05-22T03:24:47.746Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-BasicVm-csar.csar
2022-05-22T03:24:47.749Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicVm-template.yml
2022-05-22T03:24:47.749Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicVm-template-interface.yml
2022-05-22T03:24:47.750Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicVm-template.yml
2022-05-22T03:24:47.751Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicVm-template-interface.yml
2022-05-22T03:24:47.752Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicvmComputeNodesHeatUbuntu20-template.yml
2022-05-22T03:24:47.753Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Extneutroncp-template.yml
2022-05-22T03:24:47.755Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicVmNodesUbuntu20cvfc-template.yml
2022-05-22T03:24:47.756Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicVmNodesUbuntu20cvfc-template-interface.yml
2022-05-22T03:24:47.757Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Securityrules-template.yml
2022-05-22T03:24:47.759Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/data.yml
2022-05-22T03:24:47.761Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/groups.yml
2022-05-22T03:24:47.762Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/policies.yml
2022-05-22T03:24:47.763Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/annotations.yml
2022-05-22T03:24:47.764Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/relationships.yml
2022-05-22T03:24:47.764Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/artifacts.yml
2022-05-22T03:24:47.766Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/capabilities.yml
2022-05-22T03:24:47.766Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/interfaces.yml
2022-05-22T03:24:47.768Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/nodes.yml
2022-05-22T03:24:47.770Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Artifacts/org.openecomp.resource.vf.BasicVm_v1.0/Deployment/HEAT/base_ubuntu20.yaml
2022-05-22T03:24:47.771Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#generateArtifacts|BABEL0001I Distribution event: Generating XML for 19 CSAR artifacts.
2022-05-22 03:24:47.779 INFO 10 --- [tp1008612116-30] org.reflections.Reflections : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values
2022-05-22T03:24:47.779Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values
Log warning: The required parameter "port_ubuntu20_admin_plane_port_0_name" is not provided
Log warning: The required parameter "port_ubuntu20_admin_plane_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_ubuntu20_admin_plane_port_0_related_networks" is not provided
Log warning: The required parameter "port_ubuntu20_admin_plane_port_0_order" is not provided
Log warning: The required parameter "port_ubuntu20_admin_plane_port_0_network_role" is not provided
Log warning: The required parameter "port_ubuntu20_admin_plane_port_0_subnetpoolid" is not provided
2022-05-22 03:24:49.560 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-05-22 03:24:49.561 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22T03:24:49.560Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-05-22 03:24:49.561 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 9 Parsing Warnings occurred...
2022-05-22T03:24:49.561Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22T03:24:49.561Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 9 Parsing Warnings occurred...
2022-05-22 03:24:49.561 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu20" are missing field(s): [port_ubuntu20_admin_plane_port_0_name, port_ubuntu20_admin_plane_port_0_vlan_requirements, port_ubuntu20_admin_plane_port_0_related_networks, port_ubuntu20_admin_plane_port_0_order, nfc_function, port_ubuntu20_admin_plane_port_0_network_role, port_ubuntu20_admin_plane_port_0_subnetpoolid]. CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22T03:24:49.561Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu20" are missing field(s): [port_ubuntu20_admin_plane_port_0_name, port_ubuntu20_admin_plane_port_0_vlan_requirements, port_ubuntu20_admin_plane_port_0_related_networks, port_ubuntu20_admin_plane_port_0_order, nfc_function, port_ubuntu20_admin_plane_port_0_network_role, port_ubuntu20_admin_plane_port_0_subnetpoolid]. CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22 03:24:49.561 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_vm 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22T03:24:49.561Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_vm 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22 03:24:49.562 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22 03:24:49.562 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[assingment_method, supplemental_data]". CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22T03:24:49.562Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22T03:24:49.562Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[assingment_method, supplemental_data]". CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22 03:24:49.562 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22 03:24:49.562 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu20" are missing field(s): [unit, type]. CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22T03:24:49.562Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22T03:24:49.562Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu20" are missing field(s): [unit, type]. CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22 03:24:49.562 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22T03:24:49.562Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22 03:24:49.563 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE001]: TypeMismatchError: "[ubuntu20_admin_security_group]" is not a map. The type is "json". CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22 03:24:49.563 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22T03:24:49.563Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE001]: TypeMismatchError: "[ubuntu20_admin_security_group]" is not a map. The type is "json". CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22T03:24:49.563Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp7959582113793381078.csar
2022-05-22 03:24:49.563 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-05-22T03:24:49.563Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-05-22T03:24:49.581Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-05-22T03:24:49.597Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-05-22T03:24:49.608Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: 3 XML artifact(s) have been generated
2022-05-22T03:24:49.608Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-05-22 03:24:49.611 INFO 10 --- [tp1008612116-30] org.reflections.Reflections : Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2022-05-22T03:24:49.611Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
Log warning: The required parameter "port_ubuntu20_admin_plane_port_0_name" is not provided
Log warning: The required parameter "port_ubuntu20_admin_plane_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_ubuntu20_admin_plane_port_0_related_networks" is not provided
Log warning: The required parameter "port_ubuntu20_admin_plane_port_0_order" is not provided
Log warning: The required parameter "port_ubuntu20_admin_plane_port_0_network_role" is not provided
Log warning: The required parameter "port_ubuntu20_admin_plane_port_0_subnetpoolid" is not provided
2022-05-22 03:24:51.540 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-05-22 03:24:51.540 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22 03:24:51.540 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 9 Parsing Warnings occurred...
2022-05-22 03:24:51.540 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu20" are missing field(s): [port_ubuntu20_admin_plane_port_0_name, port_ubuntu20_admin_plane_port_0_vlan_requirements, port_ubuntu20_admin_plane_port_0_related_networks, port_ubuntu20_admin_plane_port_0_order, nfc_function, port_ubuntu20_admin_plane_port_0_network_role, port_ubuntu20_admin_plane_port_0_subnetpoolid]. CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22 03:24:51.540 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_vm 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22T03:24:51.540Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-05-22 03:24:51.540 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22T03:24:51.540Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22 03:24:51.541 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[assingment_method, supplemental_data]". CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22T03:24:51.540Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 9 Parsing Warnings occurred...
2022-05-22 03:24:51.541 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22T03:24:51.540Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu20" are missing field(s): [port_ubuntu20_admin_plane_port_0_name, port_ubuntu20_admin_plane_port_0_vlan_requirements, port_ubuntu20_admin_plane_port_0_related_networks, port_ubuntu20_admin_plane_port_0_order, nfc_function, port_ubuntu20_admin_plane_port_0_network_role, port_ubuntu20_admin_plane_port_0_subnetpoolid]. CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22T03:24:51.540Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_vm 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22 03:24:51.541 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu20" are missing field(s): [unit, type]. CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22 03:24:51.541 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22T03:24:51.540Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22T03:24:51.541Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[assingment_method, supplemental_data]". CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22T03:24:51.541Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22T03:24:51.541Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu20" are missing field(s): [unit, type]. CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22T03:24:51.541Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22 03:24:51.542 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE001]: TypeMismatchError: "[ubuntu20_admin_security_group]" is not a map. The type is "json". CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22 03:24:51.542 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22 03:24:51.542 WARN 10 --- [tp1008612116-30] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-05-22T03:24:51.542Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE001]: TypeMismatchError: "[ubuntu20_admin_security_group]" is not a map. The type is "json". CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22T03:24:51.542Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp6040001803397844221.csar
2022-05-22T03:24:51.542Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-05-22T03:24:51.543Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-05-22T03:24:51.545Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0001I Distribution event: org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts
2022-05-22T03:24:51.546Z|80fd0c5c-e379-4ea4-b10e-a73dce2b6710|qtp1008612116-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-basic_vm-service-1.0.xml","type":"MODEL","payload":"\n fe8b8613-b2c6-4d54-88cd-eb77a03978fe \n service \n Network Service \n \n \n a679d63c-9d59-4d37-825e-9ab0677a880a \n basic_vm \n 1.0 \n service \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 235cf67b-33eb-4d45-aa0b-eb1e64d6d26b \n \n \n model.model-invariant-id \n f4b0e39a-6918-426c-ad25-56fbb153f365 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 46b92144-923a-4d20-b85a-3cbd847668a9 \n \n \n model.model-invariant-id \n 82194af1-3c2c-485a-8f44-420e22a9eaa4 \n \n \n \n \n \n \n \n "},{"name":"AAI-BasicVm..base_ubuntu20..module-0-resource-1.xml","type":"MODEL","payload":"\n fb61e706-6810-4dd2-a2bc-e002cefad5f1 \n resource \n \n \n eed13410-94bc-45da-a48e-1c430605a882 \n BasicVm..base_ubuntu20..module-0 \n 1 \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n f6a038c2-820c-42ba-8c2b-375e24e8f932 \n \n \n model.model-invariant-id \n 3f4c7204-739b-4bbb-87a7-8a6856439c90 \n \n \n \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n abcc54bc-bb74-49dc-9043-7f7171707545 \n \n \n model.model-invariant-id \n 97c26c99-6870-44c1-8a07-1d900d3f4ce6 \n \n \n \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 36200fb5-f251-4f5d-a520-7c5ad5c2cd4b \n \n \n model.model-invariant-id \n bace8d1c-a261-4041-9e37-823117415d0f \n \n \n \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 5761e0a7-c6df-4d8a-9ebd-b8f445054dec \n \n \n model.model-invariant-id \n 96129eb9-f0de-4e05-8af2-73146473f766 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 8ecb2c5d-7176-4317-a255-26274edfdd53 \n \n \n model.model-invariant-id \n ff69d4e0-a8e8-4108-bdb0-dd63217e63c7 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n c00563ae-812b-4e62-8330-7c4d0f47088a \n \n \n model.model-invariant-id \n ef86f9c5-2165-44f3-8fc3-96018b609ea5 \n \n \n \n \n \n \n \n "},{"name":"AAI-basic_vm-resource-1.0.xml","type":"MODEL","payload":"\n f4b0e39a-6918-426c-ad25-56fbb153f365 \n resource \n \n \n 235cf67b-33eb-4d45-aa0b-eb1e64d6d26b \n basic_vm \n 1.0 \n VF \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n eed13410-94bc-45da-a48e-1c430605a882 \n \n \n model.model-invariant-id \n fb61e706-6810-4dd2-a2bc-e002cefad5f1 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 93a6166f-b3d5-4f06-b4ba-aed48d009ad9 \n \n \n model.model-invariant-id \n acc6edd8-a8d4-4b93-afaa-0994068be14c \n \n \n \n \n \n \n \n "}]
2022-05-22T03:28:57.533Z|[894ff576-38fc-47e8-a383-c4633cd5ac1f]|qtp1008612116-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], User-Agent=[Java/11.0.9], Connection=[keep-alive], Host=[aai-babel.onap:9516], X-TransactionId=[[894ff576-38fc-47e8-a383-c4633cd5ac1f]], Content-Length=[92027], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicCnf-csar.csar","csar":"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