*** retrieve Truststore and Keystore password
*** actual launch of AAI Babel
04:58:21,840 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could NOT find resource [logback-test.xml]
04:58:21,841 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could NOT find resource [logback.groovy]
04:58:21,842 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Found resource [logback.xml] at [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/classes!/logback.xml]
04:58:21,902 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/classes!/logback.xml] is not of type file
04:58:22,166 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Will scan for changes in [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/classes!/logback.xml] 
04:58:22,166 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
04:58:22,173 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] to configuration watch list.
04:58:22,173 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] is not of type file
04:58:22,178 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] to configuration watch list.
04:58:22,178 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] is not of type file
04:58:22,202 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
04:58:22,202 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
04:58:22,202 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
04:58:22,220 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
04:58:22,220 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
04:58:22,220 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
04:58:22,221 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
04:58:22,221 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
04:58:22,221 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
04:58:22,221 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
04:58:22,223 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] to configuration watch list.
04:58:22,223 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] is not of type file
04:58:22,226 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
04:58:22,232 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
04:58:22,242 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:22,313 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] to configuration watch list.
04:58:22,313 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] is not of type file
04:58:22,316 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:58:22,322 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
04:58:22,324 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:22,335 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Archive files will be limited to [10 MB] each.
04:58:22,340 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Will use gz compression
04:58:22,342 |-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
04:58:22,345 |-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'.
04:58:22,345 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Roll-over at midnight.
04:58:22,356 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Setting initial period to Fri Oct 07 04:58:22 GMT 2022
04:58:22,363 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
04:58:22,363 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
04:58:22,365 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
04:58:22,365 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
04:58:22,366 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
04:58:22,367 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:58:22,367 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
04:58:22,369 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1979313356 - Will use zip compression
04:58:22,369 |-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
04:58:22,371 |-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'.
04:58:22,372 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:58:22,372 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Oct 07 04:58:22 GMT 2022
04:58:22,373 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:22,374 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
04:58:22,374 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
04:58:22,374 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:58:22,377 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
04:58:22,379 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
04:58:22,380 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
04:58:22,401 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
04:58:22,401 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:58:22,401 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
04:58:22,403 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1975546571 - Will use zip compression
04:58:22,403 |-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
04:58:22,404 |-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'.
04:58:22,404 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:58:22,405 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Oct 07 04:58:22 GMT 2022
04:58:22,405 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:22,410 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
04:58:22,410 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
04:58:22,410 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:58:22,410 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
04:58:22,410 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
04:58:22,411 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
04:58:22,411 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
04:58:22,411 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:58:22,411 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
04:58:22,412 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1526298704 - Will use zip compression
04:58:22,412 |-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
04:58:22,413 |-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'.
04:58:22,413 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:58:22,414 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Oct 07 04:58:22 GMT 2022
04:58:22,414 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:22,416 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
04:58:22,416 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
04:58:22,416 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:58:22,416 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
04:58:22,416 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
04:58:22,416 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
04:58:22,416 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
04:58:22,417 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:58:22,417 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
04:58:22,418 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1593180232 - Will use zip compression
04:58:22,418 |-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
04:58:22,419 |-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'.
04:58:22,419 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:58:22,420 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Oct 07 04:58:22 GMT 2022
04:58:22,420 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:22,421 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
04:58:22,421 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
04:58:22,421 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:58:22,421 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
04:58:22,425 |-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-1.9.6.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
04:58:23,517 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
04:58:23,517 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
04:58:23,517 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
04:58:23,518 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
04:58:23,518 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
04:58:23,518 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
04:58:23,518 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
04:58:23,518 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
04:58:23,518 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
04:58:23,519 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
04:58:23,519 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
04:58:23,519 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
04:58:23,519 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
04:58:23,519 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
04:58:23,519 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
04:58:23,520 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
04:58:23,520 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
04:58:23,520 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
04:58:23,520 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
04:58:23,520 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
04:58:23,520 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
04:58:23,520 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
04:58:23,521 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
04:58:23,521 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
04:58:23,521 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
04:58:23,521 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
04:58:23,521 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
04:58:23,521 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
04:58:23,522 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
04:58:23,522 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
04:58:23,522 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
04:58:23,522 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
04:58:23,522 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
04:58:23,522 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
04:58:23,524 |-INFO in ch.qos.logback.classic.joran.JoranConfigurator@6bbe85a8 - Registering current configuration as safe fallback point
04:58:24,321 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting. 
04:58:24,323 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
04:58:24,323 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting. 
04:58:24,324 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
04:58:24,324 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting. 
04:58:24,325 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
04:58:24,325 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting. 
04:58:24,326 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
04:58:24,321 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting. 
04:58:24,323 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
04:58:24,323 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting. 
04:58:24,324 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
04:58:24,324 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting. 
04:58:24,325 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
04:58:24,325 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting. 
04:58:24,326 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
04:58:24,344 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Will scan for changes in [file:/opt/app/babel/config/logback.xml] 
04:58:24,344 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
04:58:24,344 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] to configuration watch list.
04:58:24,344 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@2b9ed6da - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] is not of type file
04:58:24,347 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] to configuration watch list.
04:58:24,347 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@2b9ed6da - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] is not of type file
04:58:24,350 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
04:58:24,350 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
04:58:24,350 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
04:58:24,351 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
04:58:24,351 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating ERROR level on Logger[org.apache.catalina.startup.DigesterFactory] onto the JUL framework
04:58:24,352 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
04:58:24,352 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating ERROR level on Logger[org.apache.catalina.util.LifecycleBase] onto the JUL framework
04:58:24,352 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
04:58:24,352 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.apache.coyote.http11.Http11NioProtocol] onto the JUL framework
04:58:24,352 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
04:58:24,353 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.apache.sshd.common.util.SecurityUtils] onto the JUL framework
04:58:24,401 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
04:58:24,401 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.apache.tomcat.util.net.NioSelectorPool] onto the JUL framework
04:58:24,402 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
04:58:24,402 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating ERROR level on Logger[org.eclipse.jetty.util.component.AbstractLifeCycle] onto the JUL framework
04:58:24,402 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
04:58:24,402 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.hibernate.validator.internal.util.Version] onto the JUL framework
04:58:24,403 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] to configuration watch list.
04:58:24,403 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@2b9ed6da - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] is not of type file
04:58:24,406 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
04:58:24,406 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
04:58:24,407 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:24,409 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] to configuration watch list.
04:58:24,409 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@2b9ed6da - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] is not of type file
04:58:24,412 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:58:24,413 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
04:58:24,413 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:24,415 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@310016558 - Archive files will be limited to [10 MB] each.
04:58:24,415 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@310016558 - Will use gz compression
04:58:24,416 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@310016558 - Will use the pattern /tmp/spring.log.%d{yyyy-MM-dd}.%i for the active file
04:58:24,417 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@57c03d88 - The date pattern is 'yyyy-MM-dd' from file name pattern '/tmp/spring.log.%d{yyyy-MM-dd}.%i.gz'.
04:58:24,417 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@57c03d88 - Roll-over at midnight.
04:58:24,418 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@57c03d88 - Setting initial period to Fri Oct 07 04:58:22 GMT 2022
04:58:24,419 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
04:58:24,419 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
04:58:24,420 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
04:58:24,422 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating INFO level on Logger[ROOT] onto the JUL framework
04:58:24,422 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
04:58:24,422 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
04:58:24,423 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:58:24,423 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
04:58:24,424 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@114818087 - Will use zip compression
04:58:24,424 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@114818087 - Will use the pattern /var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log for the active file
04:58:24,426 |-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'.
04:58:24,426 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:58:24,426 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Oct 07 04:58:22 GMT 2022
04:58:24,427 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:24,428 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
04:58:24,428 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
04:58:24,429 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:58:24,429 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
04:58:24,430 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
04:58:24,430 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
04:58:24,430 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
04:58:24,430 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:58:24,430 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
04:58:24,431 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1168924571 - Will use zip compression
04:58:24,431 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1168924571 - Will use the pattern /var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log for the active file
04:58:24,433 |-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'.
04:58:24,433 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:58:24,433 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Oct 07 04:58:22 GMT 2022
04:58:24,434 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:24,435 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
04:58:24,435 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
04:58:24,435 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:58:24,435 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
04:58:24,436 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
04:58:24,436 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
04:58:24,436 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
04:58:24,436 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:58:24,436 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
04:58:24,437 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@324404955 - Will use zip compression
04:58:24,437 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@324404955 - Will use the pattern /var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log for the active file
04:58:24,438 |-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'.
04:58:24,438 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:58:24,439 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Oct 07 04:58:22 GMT 2022
04:58:24,439 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:24,440 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
04:58:24,441 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
04:58:24,441 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:58:24,441 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
04:58:24,441 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
04:58:24,441 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
04:58:24,441 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
04:58:24,442 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:58:24,442 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
04:58:24,443 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1368173251 - Will use zip compression
04:58:24,443 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1368173251 - Will use the pattern /var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log for the active file
04:58:24,457 |-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'.
04:58:24,457 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:58:24,458 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Oct 07 04:58:22 GMT 2022
04:58:24,458 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:24,460 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
04:58:24,500 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
04:58:24,501 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:58:24,501 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
04:58:24,502 |-INFO in ch.qos.logback.classic.boolex.GEventEvaluator@68034211 - Expression to evaluate [e.level.toInt() < INFO.toInt()]
04:58:24,640 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
04:58:24,641 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
04:58:24,641 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
04:58:24,641 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
04:58:24,641 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [STDOUT]
04:58:24,642 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:58:24,642 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:58:24,643 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [AsyncSysOut]
04:58:24,643 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [STDOUT] to ch.qos.logback.classic.AsyncAppender[AsyncSysOut]
04:58:24,643 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Attaching appender named [STDOUT] to AsyncAppender.
04:58:24,643 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Setting discardingThreshold to 51
04:58:24,643 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
04:58:24,643 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
04:58:24,643 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
04:58:24,643 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[ROOT]
04:58:24,643 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
04:58:24,644 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating INFO level on Logger[com.att.eelf] onto the JUL framework
04:58:24,644 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
04:58:24,644 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
04:58:24,644 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf]
04:58:24,644 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
04:58:24,644 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating INFO level on Logger[com.att.eelf.debug] onto the JUL framework
04:58:24,644 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
04:58:24,645 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
04:58:24,645 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.debug]
04:58:24,645 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
04:58:24,645 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating INFO level on Logger[com.att.eelf.audit] onto the JUL framework
04:58:24,645 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
04:58:24,645 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
04:58:24,645 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.audit]
04:58:24,645 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
04:58:24,645 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating INFO level on Logger[com.att.eelf.metrics] onto the JUL framework
04:58:24,646 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
04:58:24,646 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
04:58:24,646 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.metrics]
04:58:24,646 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
04:58:24,646 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating INFO level on Logger[com.att] onto the JUL framework
04:58:24,646 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
04:58:24,646 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.springframework] onto the JUL framework
04:58:24,647 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
04:58:24,647 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.springframework.beans] onto the JUL framework
04:58:24,647 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
04:58:24,647 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.springframework.web] onto the JUL framework
04:58:24,647 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
04:58:24,647 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.apache] onto the JUL framework
04:58:24,648 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
04:58:24,648 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.apache.commons] onto the JUL framework
04:58:24,648 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
04:58:24,648 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.apache.camel] onto the JUL framework
04:58:24,648 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
04:58:24,649 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.apache.cxf] onto the JUL framework
04:58:24,649 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
04:58:24,649 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.apache.camel.processor.interceptor] onto the JUL framework
04:58:24,650 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
04:58:24,650 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.apache.cxf.jaxrs.interceptor] onto the JUL framework
04:58:24,650 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
04:58:24,650 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.apache.cxf.service] onto the JUL framework
04:58:24,651 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
04:58:24,651 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.restlet] onto the JUL framework
04:58:24,651 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
04:58:24,651 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[org.apache.camel.component.restlet] onto the JUL framework
04:58:24,651 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
04:58:24,651 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[ch.qos.logback.classic] onto the JUL framework
04:58:24,651 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
04:58:24,652 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@6c61a903 - Propagating WARN level on Logger[ch.qos.logback.core] onto the JUL framework
04:58:24,652 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
04:58:24,652 |-INFO in org.springframework.boot.logging.logback.SpringBootJoranConfigurator@5495333e - Registering current configuration as safe fallback point

  .   ____          _            __ _ _
 /\\ / ___'_ __ _ _(_)_ __  __ _ \ \ \ \
( ( )\___ | '_ | '_| | '_ \/ _` | \ \ \ \
 \\/  ___)| |_)| | | | | || (_| |  ) ) ) )
  '  |____| .__|_| |_|_| |_\__, | / / / /
 =========|_|==============|___/=/_/_/_/
 :: Spring Boot ::       (v2.1.12.RELEASE)

2022-10-07 04:58:25.151  INFO 10 --- [           main] org.eclipse.jetty.util.log               : Logging initialized @4158ms to org.eclipse.jetty.util.log.Slf4jLog
2022-10-07T04:58:25.151Z||main|||||INFO|org.eclipse.jetty.util.log||Logging initialized @4158ms to org.eclipse.jetty.util.log.Slf4jLog
2022-10-07 04:58:28.472  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
2022-10-07T04:58:28.472Z||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
2022-10-07 04:58:28.526  INFO 10 --- [           main] o.e.j.s.h.ContextHandler.application     : Initializing Spring embedded WebApplicationContext
2022-10-07T04:58:28.526Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring embedded WebApplicationContext
2022-10-07 04:58:28.858  INFO 10 --- [           main] org.eclipse.jetty.server.session         : DefaultSessionIdManager workerName=node0
2022-10-07 04:58:28.859  INFO 10 --- [           main] org.eclipse.jetty.server.session         : No SessionScavenger set, using defaults
2022-10-07T04:58:28.858Z||main|||||INFO|org.eclipse.jetty.server.session||DefaultSessionIdManager workerName=node0
2022-10-07T04:58:28.859Z||main|||||INFO|org.eclipse.jetty.server.session||No SessionScavenger set, using defaults
2022-10-07 04:58:28.860  INFO 10 --- [           main] org.eclipse.jetty.server.session         : node0 Scavenging every 660000ms
2022-10-07T04:58:28.860Z||main|||||INFO|org.eclipse.jetty.server.session||node0 Scavenging every 660000ms
2022-10-07 04:58:28.870  INFO 10 --- [           main] o.e.jetty.server.handler.ContextHandler  : Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@654c1a54{application,/services/babel-service,[file:///tmp/jetty-docbase.3322450167495739460.9516/],AVAILABLE}
2022-10-07T04:58:28.870Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler||Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@654c1a54{application,/services/babel-service,[file:///tmp/jetty-docbase.3322450167495739460.9516/],AVAILABLE}
2022-10-07 04:58:28.871  INFO 10 --- [           main] org.eclipse.jetty.server.Server          : Started @7880ms
2022-10-07T04:58:28.871Z||main|||||INFO|org.eclipse.jetty.server.Server||Started @7880ms
2022-10-07 04:58:30.659  INFO 10 --- [           main] o.e.j.s.h.ContextHandler.application     : Initializing Spring DispatcherServlet 'dispatcherServlet'
2022-10-07T04:58:30.659Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring DispatcherServlet 'dispatcherServlet'
2022-10-07 04:58:31.031  INFO 10 --- [           main] o.e.jetty.util.ssl.SslContextFactory     : x509=X509@615e3f51(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@407873d3[provider=null,keyStore=file:///opt/app/osaaf/local/org.onap.aai.p12,trustStore=file:///opt/app/osaaf/local/org.onap.aai.trust.jks]
2022-10-07T04:58:31.031Z||main|AAI-BAS||||INFO|org.eclipse.jetty.util.ssl.SslContextFactory||x509=X509@615e3f51(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@407873d3[provider=null,keyStore=file:///opt/app/osaaf/local/org.onap.aai.p12,trustStore=file:///opt/app/osaaf/local/org.onap.aai.trust.jks]
2022-10-07 04:58:31.239  INFO 10 --- [           main] o.e.jetty.server.AbstractConnector       : Started ServerConnector@74a9c4b0{SSL,[ssl, http/1.1]}{0.0.0.0:9516}
2022-10-07T04:58:31.239Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.AbstractConnector||Started ServerConnector@74a9c4b0{SSL,[ssl, http/1.1]}{0.0.0.0:9516}
2022-10-07T06:23:29.225Z|[b993d311-894b-4a81-a146-05749d8e29ce]|qtp1002041276-30|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=[[b993d311-894b-4a81-a146-05749d8e29ce]], Content-Length=[100501], 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2022-10-07T06:23:29.246Z|[b993d311-894b-4a81-a146-05749d8e29ce]|qtp1002041276-30|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=[b993d311-894b-4a81-a146-05749d8e29ce]]
2022-10-07T06:23:29.248Z|[b993d311-894b-4a81-a146-05749d8e29ce]|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned 5fa57af4-8239-4398-8b18-60ab858d422d
2022-10-07T06:23:29.285Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:29.292Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-BasicOnboardOgnxcz-csar.csar
2022-10-07T06:23:29.411Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicOnboardOgnxcz-template.yml
2022-10-07T06:23:29.424Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicOnboardOgnxcz-template-interface.yml
2022-10-07T06:23:29.425Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasiconboardognxczComputeNodesHeatUbuntu18-template.yml
2022-10-07T06:23:29.427Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardOgnxczNodesUbuntu18cvfc-template.yml
2022-10-07T06:23:29.431Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardOgnxczNodesUbuntu18cvfc-template-interface.yml
2022-10-07T06:23:29.437Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:29.439Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardOgnxcz-template.yml
2022-10-07T06:23:29.442Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardOgnxcz-template-interface.yml
2022-10-07T06:23:29.446Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:29.449Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:29.457Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:29.458Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:29.459Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:29.460Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:29.461Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:29.463Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:29.464Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:29.466Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:29.469Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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.BasicOnboardOgnxcz_v1.0/Deployment/HEAT/base_ubuntu18.yaml
2022-10-07T06:23:29.481Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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.
2022-10-07 06:23:30.054  INFO 10 --- [tp1002041276-30] org.reflections.Reflections              : Reflections took 29 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-07T06:23:30.054Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 29 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-07 06:23:30.575  INFO 10 --- [tp1002041276-30] org.reflections.Reflections              : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-07T06:23:30.575Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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_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_security_groups" is not provided
Log warning: The required parameter "compute_ubuntu18_user_data_format" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_vlan_requirements" is not provided
Log warning: The required parameter "compute_ubuntu18_metadata" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network_role" is not provided
Log warning: The required parameter "compute_ubuntu18_name" 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_network" is not provided
Log warning: The required parameter "compute_ubuntu18_key_name" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network_role_tag" is not provided
2022-10-07 06:23:34.054  WARN 10 --- [tp1002041276-30] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-07T06:23:34.054Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-07 06:23:34.054  WARN 10 --- [tp1002041276-30] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp2709355971552475833.csar
2022-10-07T06:23:34.054Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp2709355971552475833.csar
2022-10-07 06:23:34.055  WARN 10 --- [tp1002041276-30] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-07 06:23:34.055  WARN 10 --- [tp1002041276-30] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_oGNXcZ 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp2709355971552475833.csar
2022-10-07T06:23:34.055Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-07T06:23:34.055Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_oGNXcZ 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp2709355971552475833.csar
2022-10-07 06:23:34.055  WARN 10 --- [tp1002041276-30] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [nfc_function]. CSAR name - /tmp/temp2709355971552475833.csar
2022-10-07T06:23:34.055Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [nfc_function]. CSAR name - /tmp/temp2709355971552475833.csar
2022-10-07 06:23:34.055  WARN 10 --- [tp1002041276-30] 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/temp2709355971552475833.csar
2022-10-07T06:23:34.055Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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/temp2709355971552475833.csar
2022-10-07 06:23:34.056  WARN 10 --- [tp1002041276-30] 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/temp2709355971552475833.csar
2022-10-07 06:23:34.056  WARN 10 --- [tp1002041276-30] 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/temp2709355971552475833.csar
2022-10-07T06:23:34.056Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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/temp2709355971552475833.csar
2022-10-07T06:23:34.056Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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/temp2709355971552475833.csar
2022-10-07 06:23:34.056  WARN 10 --- [tp1002041276-30] 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/temp2709355971552475833.csar
2022-10-07T06:23:34.056Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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/temp2709355971552475833.csar
2022-10-07 06:23:34.056  WARN 10 --- [tp1002041276-30] 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/temp2709355971552475833.csar
2022-10-07T06:23:34.056Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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/temp2709355971552475833.csar
2022-10-07 06:23:34.057  WARN 10 --- [tp1002041276-30] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-07T06:23:34.057Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-07T06:23:34.640Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-10-07T06:23:34.715Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-10-07T06:23:34.748Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
2022-10-07T06:23:34.750Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-10-07 06:23:34.758  INFO 10 --- [tp1002041276-30] org.reflections.Reflections              : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-07T06:23:34.758Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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_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_security_groups" is not provided
Log warning: The required parameter "compute_ubuntu18_user_data_format" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_vlan_requirements" is not provided
Log warning: The required parameter "compute_ubuntu18_metadata" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network_role" is not provided
Log warning: The required parameter "compute_ubuntu18_name" 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_network" is not provided
Log warning: The required parameter "compute_ubuntu18_key_name" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network_role_tag" is not provided
2022-10-07 06:23:37.064  WARN 10 --- [tp1002041276-30] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-07 06:23:37.064  WARN 10 --- [tp1002041276-30] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp14650930655117377716.csar
2022-10-07T06:23:37.064Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-07T06:23:37.064Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp14650930655117377716.csar
2022-10-07 06:23:37.065  WARN 10 --- [tp1002041276-30] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-07 06:23:37.065  WARN 10 --- [tp1002041276-30] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_oGNXcZ 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp14650930655117377716.csar
2022-10-07T06:23:37.065Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-07T06:23:37.065Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_oGNXcZ 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp14650930655117377716.csar
2022-10-07 06:23:37.065  WARN 10 --- [tp1002041276-30] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [nfc_function]. CSAR name - /tmp/temp14650930655117377716.csar
2022-10-07T06:23:37.065Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [nfc_function]. CSAR name - /tmp/temp14650930655117377716.csar
2022-10-07 06:23:37.065  WARN 10 --- [tp1002041276-30] 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/temp14650930655117377716.csar
2022-10-07T06:23:37.065Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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/temp14650930655117377716.csar
2022-10-07 06:23:37.065  WARN 10 --- [tp1002041276-30] 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/temp14650930655117377716.csar
2022-10-07T06:23:37.065Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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/temp14650930655117377716.csar
2022-10-07 06:23:37.066  WARN 10 --- [tp1002041276-30] 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/temp14650930655117377716.csar
2022-10-07T06:23:37.066Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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/temp14650930655117377716.csar
2022-10-07 06:23:37.066  WARN 10 --- [tp1002041276-30] 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/temp14650930655117377716.csar
2022-10-07T06:23:37.066Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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/temp14650930655117377716.csar
2022-10-07 06:23:37.066  WARN 10 --- [tp1002041276-30] 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/temp14650930655117377716.csar
2022-10-07T06:23:37.066Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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/temp14650930655117377716.csar
2022-10-07 06:23:37.066  WARN 10 --- [tp1002041276-30] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-07T06:23:37.066Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-07T06:23:37.068Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-10-07T06:23:37.083Z|5fa57af4-8239-4398-8b18-60ab858d422d|qtp1002041276-30|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
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2022-10-07T06:35:53.791Z|[ed638b00-fb2f-4f91-9cab-11030bdc0b31]|qtp1002041276-24|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=[[ed638b00-fb2f-4f91-9cab-11030bdc0b31]], Content-Length=[76963], 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2022-10-07T06:35:53.793Z|[ed638b00-fb2f-4f91-9cab-11030bdc0b31]|qtp1002041276-24|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=[ed638b00-fb2f-4f91-9cab-11030bdc0b31]]
2022-10-07T06:35:53.793Z|[ed638b00-fb2f-4f91-9cab-11030bdc0b31]|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned 85332c84-5046-4111-a7ce-b5062d0e87e6
2022-10-07T06:35:53.803Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.803Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.806Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.807Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.807Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.808Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.810Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.811Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.812Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.814Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.815Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.816Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.817Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.817Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.819Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:53.822Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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.
2022-10-07 06:35:53.838  INFO 10 --- [tp1002041276-24] org.reflections.Reflections              : Reflections took 4 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-07T06:35:53.838Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 4 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-07 06:35:55.094  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-07T06:35:55.094Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-07 06:35:55.095  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp8410516052734332108.csar
2022-10-07T06:35:55.095Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp8410516052734332108.csar
2022-10-07 06:35:55.095  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-10-07T06:35:55.095Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-10-07 06:35:55.096  WARN 10 --- [tp1002041276-24] 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/temp8410516052734332108.csar
2022-10-07 06:35:55.096  WARN 10 --- [tp1002041276-24] 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/temp8410516052734332108.csar
2022-10-07T06:35:55.096Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp8410516052734332108.csar
2022-10-07T06:35:55.096Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp8410516052734332108.csar
2022-10-07 06:35:55.096  WARN 10 --- [tp1002041276-24] 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/temp8410516052734332108.csar
2022-10-07T06:35:55.096Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp8410516052734332108.csar
2022-10-07 06:35:55.096  WARN 10 --- [tp1002041276-24] 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/temp8410516052734332108.csar
2022-10-07T06:35:55.096Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp8410516052734332108.csar
2022-10-07 06:35:55.097  WARN 10 --- [tp1002041276-24] 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/temp8410516052734332108.csar
2022-10-07 06:35:55.097  WARN 10 --- [tp1002041276-24] 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/temp8410516052734332108.csar
2022-10-07T06:35:55.097Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp8410516052734332108.csar
2022-10-07T06:35:55.097Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp8410516052734332108.csar
2022-10-07 06:35:55.097  WARN 10 --- [tp1002041276-24] 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/temp8410516052734332108.csar
2022-10-07T06:35:55.097Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp8410516052734332108.csar
2022-10-07 06:35:55.097  WARN 10 --- [tp1002041276-24] 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/temp8410516052734332108.csar
2022-10-07T06:35:55.097Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp8410516052734332108.csar
2022-10-07 06:35:55.098  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-07T06:35:55.098Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-07T06:35:55.121Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-10-07T06:35:55.139Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:55.139Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-10-07 06:35:55.143  INFO 10 --- [tp1002041276-24] org.reflections.Reflections              : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-07T06:35:55.143Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-07 06:35:56.007  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-07 06:35:56.007  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp5711158205226338624.csar
2022-10-07T06:35:56.007Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-07T06:35:56.007Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp5711158205226338624.csar
2022-10-07 06:35:56.008  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-10-07 06:35:56.009  WARN 10 --- [tp1002041276-24] 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/temp5711158205226338624.csar
2022-10-07T06:35:56.008Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-10-07T06:35:56.009Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp5711158205226338624.csar
2022-10-07 06:35:56.009  WARN 10 --- [tp1002041276-24] 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/temp5711158205226338624.csar
2022-10-07T06:35:56.009Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp5711158205226338624.csar
2022-10-07 06:35:56.010  WARN 10 --- [tp1002041276-24] 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/temp5711158205226338624.csar
2022-10-07 06:35:56.010  WARN 10 --- [tp1002041276-24] 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/temp5711158205226338624.csar
2022-10-07T06:35:56.010Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp5711158205226338624.csar
2022-10-07T06:35:56.010Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp5711158205226338624.csar
2022-10-07 06:35:56.010  WARN 10 --- [tp1002041276-24] 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/temp5711158205226338624.csar
2022-10-07T06:35:56.010Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp5711158205226338624.csar
2022-10-07 06:35:56.011  WARN 10 --- [tp1002041276-24] 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/temp5711158205226338624.csar
2022-10-07 06:35:56.011  WARN 10 --- [tp1002041276-24] 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/temp5711158205226338624.csar
2022-10-07T06:35:56.011Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp5711158205226338624.csar
2022-10-07T06:35:56.011Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp5711158205226338624.csar
2022-10-07 06:35:56.012  WARN 10 --- [tp1002041276-24] 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/temp5711158205226338624.csar
2022-10-07T06:35:56.012Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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/temp5711158205226338624.csar
2022-10-07 06:35:56.013  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-07T06:35:56.013Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-07T06:35:56.014Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-10-07T06:35:56.016Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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
2022-10-07T06:35:56.017Z|85332c84-5046-4111-a7ce-b5062d0e87e6|qtp1002041276-24|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":"<model xmlns=\"http://org.onap.aai.inventory/v27\">\n    <model-invariant-id>0e77a48f-3a27-4d47-b488-fdaeb9483cd9</model-invariant-id>\n    <model-type>service</model-type>\n    <model-role>Network Service</model-role>\n    <model-vers>\n        <model-ver>\n            <model-version-id>56aafba7-ddeb-43c9-82a6-bad760f0fe5d</model-version-id>\n            <model-name>basic_network</model-name>\n            <model-version>1.0</model-version>\n            <model-description>service</model-description>\n            <model-elements>\n                <model-element>\n                    <new-data-del-flag>T</new-data-del-flag>\n                    <cardinality>unbounded</cardinality>\n                    <model-elements>\n                        <model-element>\n                            <new-data-del-flag>F</new-data-del-flag>\n                            <cardinality>unbounded</cardinality>\n                            <model-elements/>\n                            <relationship-list>\n                                <relationship>\n                                    <related-to>model-ver</related-to>\n                                    <relationship-data>\n                                        <relationship-key>model-ver.model-version-id</relationship-key>\n                                        <relationship-value>2ba08ad5-acfe-4aed-b62c-f14c704effcc</relationship-value>\n                                    </relationship-data>\n                                    <relationship-data>\n                                        <relationship-key>model.model-invariant-id</relationship-key>\n                                        <relationship-value>32594a98-8a0a-4988-9ba8-8e95d683938e</relationship-value>\n                                    </relationship-data>\n                                </relationship>\n                            </relationship-list>\n                        </model-element>\n                    </model-elements>\n                    <relationship-list>\n                        <relationship>\n                            <related-to>model-ver</related-to>\n                            <relationship-data>\n                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                <relationship-value>46b92144-923a-4d20-b85a-3cbd847668a9</relationship-value>\n                            </relationship-data>\n                            <relationship-data>\n                                <relationship-key>model.model-invariant-id</relationship-key>\n                                <relationship-value>82194af1-3c2c-485a-8f44-420e22a9eaa4</relationship-value>\n                            </relationship-data>\n                        </relationship>\n                    </relationship-list>\n                </model-element>\n            </model-elements>\n        </model-ver>\n    </model-vers>\n</model>"},{"name":"AAI-Generic NeutronNet-resource-1.0.xml","type":"MODEL","payload":"<model xmlns=\"http://org.onap.aai.inventory/v27\">\n    <model-invariant-id>32594a98-8a0a-4988-9ba8-8e95d683938e</model-invariant-id>\n    <model-type>resource</model-type>\n    <model-vers>\n        <model-ver>\n            <model-version-id>2ba08ad5-acfe-4aed-b62c-f14c704effcc</model-version-id>\n            <model-name>Generic NeutronNet</model-name>\n            <model-version>1.0</model-version>\n            <model-description>Generic NeutronNet</model-description>\n            <model-elements>\n                <model-element>\n                    <new-data-del-flag>F</new-data-del-flag>\n                    <cardinality>unbounded</cardinality>\n                    <model-elements/>\n                    <relationship-list>\n                        <relationship>\n                            <related-to>model-ver</related-to>\n                            <relationship-data>\n                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                <relationship-value>9111f20f-e680-4001-b83f-19a2fc23bfc1</relationship-value>\n                            </relationship-data>\n                            <relationship-data>\n                                <relationship-key>model.model-invariant-id</relationship-key>\n                                <relationship-value>3d560d81-57d0-438b-a2a1-5334dba0651a</relationship-value>\n                            </relationship-data>\n                        </relationship>\n                    </relationship-list>\n                </model-element>\n            </model-elements>\n        </model-ver>\n    </model-vers>\n</model>"}]
2022-10-07T06:36:59.321Z|[9a4bed21-bf46-4818-aa68-35493a56706b]|qtp1002041276-24|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=[[9a4bed21-bf46-4818-aa68-35493a56706b]], Content-Length=[117122], 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2022-10-07T06:36:59.321Z|[9a4bed21-bf46-4818-aa68-35493a56706b]|qtp1002041276-24|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=[9a4bed21-bf46-4818-aa68-35493a56706b]]
2022-10-07T06:36:59.322Z|[9a4bed21-bf46-4818-aa68-35493a56706b]|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned c4b897c8-79f7-449f-ac67-b67f1956c5f6
2022-10-07T06:36:59.328Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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
2022-10-07T06:36:59.328Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-DemoPnf5hvhivr8rnbgk81sw2lk-csar.csar
2022-10-07T06:36:59.331Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-DemoPnf5hvhivr8rnbgk81sw2lk-template.yml
2022-10-07T06:36:59.331Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-DemoPnf5hvhivr8rnbgk81sw2lk-template-interface.yml
2022-10-07T06:36:59.332Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Port-template.yml
2022-10-07T06:36:59.332Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Globalport-template.yml
2022-10-07T06:36:59.332Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Extcp2-template.yml
2022-10-07T06:36:59.333Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Pnf30ad2a22420e-template.yml
2022-10-07T06:36:59.333Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Pnf30ad2a22420e-template-interface.yml
2022-10-07T06:36:59.334Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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
2022-10-07T06:36:59.335Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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
2022-10-07T06:36:59.336Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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
2022-10-07T06:36:59.336Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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
2022-10-07T06:36:59.337Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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
2022-10-07T06:36:59.337Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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
2022-10-07T06:36:59.338Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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
2022-10-07T06:36:59.338Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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
2022-10-07T06:36:59.339Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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
2022-10-07T06:36:59.341Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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.pnf.Pnf30ad2a22420e_v1.0/Deployment/PM_DICTIONARY/PM_Dictionary.yaml
2022-10-07T06:36:59.341Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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.pnf.Pnf30ad2a22420e_v1.0/Deployment/VES_EVENTS/MyPnf_Pnf_v1.yaml
2022-10-07T06:36:59.342Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#generateArtifacts|BABEL0001I Distribution event: Generating XML for 18 CSAR artifacts.
2022-10-07 06:36:59.347  INFO 10 --- [tp1002041276-24] org.reflections.Reflections              : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-07T06:36:59.347Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-07 06:37:00.910  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-07T06:37:00.910Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-07 06:37:00.911  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp6974704114853954181.csar
2022-10-07T06:37:00.911Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp6974704114853954181.csar
2022-10-07 06:37:00.911  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-07T06:37:00.911Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-07 06:37:00.912  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF 30ad2a22-420e 0" are missing field(s): [nf_function, sdnc_model_version, software_versions, sdnc_artifact_name, nf_role, default_software_version, nf_type, sdnc_model_name]. CSAR name - /tmp/temp6974704114853954181.csar
2022-10-07T06:37:00.912Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF 30ad2a22-420e 0" are missing field(s): [nf_function, sdnc_model_version, software_versions, sdnc_artifact_name, nf_role, default_software_version, nf_type, sdnc_model_name]. CSAR name - /tmp/temp6974704114853954181.csar
2022-10-07 06:37:00.912  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [network_role, network_role_tag]. CSAR name - /tmp/temp6974704114853954181.csar
2022-10-07T06:37:00.912Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [network_role, network_role_tag]. CSAR name - /tmp/temp6974704114853954181.csar
2022-10-07 06:37:00.912  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [unit, type]. CSAR name - /tmp/temp6974704114853954181.csar
2022-10-07T06:37:00.912Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [unit, type]. CSAR name - /tmp/temp6974704114853954181.csar
2022-10-07 06:37:00.912  WARN 10 --- [tp1002041276-24] 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) "[supplemental_data]". CSAR name - /tmp/temp6974704114853954181.csar
2022-10-07T06:37:00.912Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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) "[supplemental_data]". CSAR name - /tmp/temp6974704114853954181.csar
2022-10-07 06:37:00.913  WARN 10 --- [tp1002041276-24] 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/temp6974704114853954181.csar
2022-10-07T06:37:00.913Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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/temp6974704114853954181.csar
2022-10-07 06:37:00.913  WARN 10 --- [tp1002041276-24] 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/temp6974704114853954181.csar
2022-10-07T06:37:00.913Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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/temp6974704114853954181.csar
2022-10-07 06:37:00.913  WARN 10 --- [tp1002041276-24] 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/temp6974704114853954181.csar
2022-10-07T06:37:00.913Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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/temp6974704114853954181.csar
2022-10-07 06:37:00.913  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-07T06:37:00.913Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-07T06:37:00.931Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-10-07T06:37:00.948Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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
2022-10-07T06:37:00.949Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-10-07 06:37:00.952  INFO 10 --- [tp1002041276-24] org.reflections.Reflections              : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-07T06:37:00.952Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-07 06:37:02.474  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-07 06:37:02.475  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp389531850096052708.csar
2022-10-07T06:37:02.474Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-07 06:37:02.476  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-07T06:37:02.475Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp389531850096052708.csar
2022-10-07 06:37:02.476  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF 30ad2a22-420e 0" are missing field(s): [nf_function, sdnc_model_version, software_versions, sdnc_artifact_name, nf_role, default_software_version, nf_type, sdnc_model_name]. CSAR name - /tmp/temp389531850096052708.csar
2022-10-07T06:37:02.476Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-07T06:37:02.476Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF 30ad2a22-420e 0" are missing field(s): [nf_function, sdnc_model_version, software_versions, sdnc_artifact_name, nf_role, default_software_version, nf_type, sdnc_model_name]. CSAR name - /tmp/temp389531850096052708.csar
2022-10-07 06:37:02.476  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [network_role, network_role_tag]. CSAR name - /tmp/temp389531850096052708.csar
2022-10-07 06:37:02.477  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [unit, type]. CSAR name - /tmp/temp389531850096052708.csar
2022-10-07T06:37:02.476Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [network_role, network_role_tag]. CSAR name - /tmp/temp389531850096052708.csar
2022-10-07 06:37:02.477  WARN 10 --- [tp1002041276-24] 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) "[supplemental_data]". CSAR name - /tmp/temp389531850096052708.csar
2022-10-07T06:37:02.477Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [unit, type]. CSAR name - /tmp/temp389531850096052708.csar
2022-10-07T06:37:02.477Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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) "[supplemental_data]". CSAR name - /tmp/temp389531850096052708.csar
2022-10-07 06:37:02.477  WARN 10 --- [tp1002041276-24] 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/temp389531850096052708.csar
2022-10-07 06:37:02.477  WARN 10 --- [tp1002041276-24] 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/temp389531850096052708.csar
2022-10-07T06:37:02.477Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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/temp389531850096052708.csar
2022-10-07T06:37:02.477Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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/temp389531850096052708.csar
2022-10-07 06:37:02.478  WARN 10 --- [tp1002041276-24] 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/temp389531850096052708.csar
2022-10-07 06:37:02.478  WARN 10 --- [tp1002041276-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-07T06:37:02.478Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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/temp389531850096052708.csar
2022-10-07T06:37:02.478Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-07T06:37:02.479Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-10-07T06:37:02.481Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|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
2022-10-07T06:37:02.482Z|c4b897c8-79f7-449f-ac67-b67f1956c5f6|qtp1002041276-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-Demo_pNF_5HVHIVr8rnbgK81sW2LK-service-1.0.xml","type":"MODEL","payload":"<model xmlns=\"http://org.onap.aai.inventory/v27\">\n    <model-invariant-id>e58a6d0a-c4cf-4bec-a0ee-0c9a900b8229</model-invariant-id>\n    <model-type>service</model-type>\n    <model-role>Network L1-3</model-role>\n    <model-vers>\n        <model-ver>\n            <model-version-id>2b168432-5bbe-4298-8501-1c565cc505ab</model-version-id>\n            <model-name>Demo_pNF_5HVHIVr8rnbgK81sW2LK</model-name>\n            <model-version>1.0</model-version>\n            <model-description>catalog service description</model-description>\n            <model-elements>\n                <model-element>\n                    <new-data-del-flag>T</new-data-del-flag>\n                    <cardinality>unbounded</cardinality>\n                    <model-elements>\n                        <model-element>\n                            <new-data-del-flag>T</new-data-del-flag>\n                            <cardinality>unbounded</cardinality>\n                            <model-elements/>\n                            <relationship-list>\n                                <relationship>\n                                    <related-to>model-ver</related-to>\n                                    <relationship-data>\n                                        <relationship-key>model-ver.model-version-id</relationship-key>\n                                        <relationship-value>596a492f-1e72-4cc9-adf4-fe967944ef89</relationship-value>\n                                    </relationship-data>\n                                    <relationship-data>\n                                        <relationship-key>model.model-invariant-id</relationship-key>\n                                        <relationship-value>8fd6eefc-9206-49fb-a2f3-6e21e959208d</relationship-value>\n                                    </relationship-data>\n                                </relationship>\n                            </relationship-list>\n                        </model-element>\n                    </model-elements>\n                    <relationship-list>\n                        <relationship>\n                            <related-to>model-ver</related-to>\n                            <relationship-data>\n                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                <relationship-value>46b92144-923a-4d20-b85a-3cbd847668a9</relationship-value>\n                            </relationship-data>\n                            <relationship-data>\n                                <relationship-key>model.model-invariant-id</relationship-key>\n                                <relationship-value>82194af1-3c2c-485a-8f44-420e22a9eaa4</relationship-value>\n                            </relationship-data>\n                        </relationship>\n                    </relationship-list>\n                </model-element>\n            </model-elements>\n        </model-ver>\n    </model-vers>\n</model>"},{"name":"AAI-pNF 30ad2a22-420e-resource-1.0.xml","type":"MODEL","payload":"<model xmlns=\"http://org.onap.aai.inventory/v27\">\n    <model-invariant-id>8fd6eefc-9206-49fb-a2f3-6e21e959208d</model-invariant-id>\n    <model-type>resource</model-type>\n    <model-vers>\n        <model-ver>\n            <model-version-id>596a492f-1e72-4cc9-adf4-fe967944ef89</model-version-id>\n            <model-name>pNF 30ad2a22-420e</model-name>\n            <model-version>1.0</model-version>\n            <model-description>vendor software product</model-description>\n            <model-elements>\n                <model-element>\n                    <new-data-del-flag>T</new-data-del-flag>\n                    <cardinality>unbounded</cardinality>\n                    <model-elements/>\n                    <relationship-list>\n                        <relationship>\n                            <related-to>model-ver</related-to>\n                            <relationship-data>\n                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                <relationship-value>e9f1fa7d-c839-418a-9601-03dc0d2ad687</relationship-value>\n                            </relationship-data>\n                            <relationship-data>\n                                <relationship-key>model.model-invariant-id</relationship-key>\n                                <relationship-value>862b25a1-262a-4961-bdaa-cdc55d69785a</relationship-value>\n                            </relationship-data>\n                        </relationship>\n                    </relationship-list>\n                </model-element>\n            </model-elements>\n        </model-ver>\n    </model-vers>\n</model>"}]
2022-10-07T06:37:30.340Z|[81c083b8-9794-42f2-8933-9a74f409f660]|qtp1002041276-30|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=[[81c083b8-9794-42f2-8933-9a74f409f660]], Content-Length=[98311], 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