Results

By type

          *** retrieve Truststore and Keystore password
*** actual launch of AAI Babel
04:55:29,719 |-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] 
04:55:29,834 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
04:55:29,852 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@4b9e255 - 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.
04:55:29,853 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5e57643e - 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
04:55:29,867 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@4b9e255 - 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.
04:55:29,868 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5e57643e - 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
04:55:29,898 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
04:55:29,898 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
04:55:29,898 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
04:55:29,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
04:55:29,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
04:55:29,929 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
04:55:29,929 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
04:55:29,930 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
04:55:29,930 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
04:55:29,930 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
04:55:29,933 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@4b9e255 - 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.
04:55:29,934 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5e57643e - 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
04:55:29,939 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
04:55:29,950 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
04:55:30,011 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:30,147 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@4b9e255 - 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.
04:55:30,147 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5e57643e - 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
04:55:30,153 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:55:30,165 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
04:55:30,169 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:30,209 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Archive files will be limited to [10 MB] each.
04:55:30,222 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Will use gz compression
04:55:30,229 |-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
04:55:30,239 |-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'.
04:55:30,239 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Roll-over at midnight.
04:55:30,264 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Setting initial period to Sun Oct 09 04:55:30 GMT 2022
04:55:30,280 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
04:55:30,280 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
04:55:30,283 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
04:55:30,294 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
04:55:30,297 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
04:55:30,298 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:55:30,299 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
04:55:30,302 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1979313356 - Will use zip compression
04:55:30,303 |-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
04:55:30,309 |-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'.
04:55:30,309 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:55:30,310 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun Oct 09 04:55:30 GMT 2022
04:55:30,311 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:30,314 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
04:55:30,315 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
04:55:30,316 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:55:30,320 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
04:55:30,326 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
04:55:30,327 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
04:55:30,328 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
04:55:30,329 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:55:30,329 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
04:55:30,331 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1975546571 - Will use zip compression
04:55:30,332 |-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
04:55:30,334 |-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'.
04:55:30,334 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:55:30,335 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun Oct 09 04:55:30 GMT 2022
04:55:30,336 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:30,343 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
04:55:30,343 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
04:55:30,344 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:55:30,344 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
04:55:30,345 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
04:55:30,345 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
04:55:30,345 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
04:55:30,345 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:55:30,346 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
04:55:30,348 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1526298704 - Will use zip compression
04:55:30,349 |-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
04:55:30,351 |-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'.
04:55:30,351 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:55:30,352 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun Oct 09 04:55:30 GMT 2022
04:55:30,352 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:30,355 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
04:55:30,355 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
04:55:30,356 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:55:30,356 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
04:55:30,357 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
04:55:30,357 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
04:55:30,357 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
04:55:30,358 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:55:30,358 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
04:55:30,360 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1593180232 - Will use zip compression
04:55:30,361 |-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
04:55:30,363 |-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'.
04:55:30,363 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:55:30,364 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun Oct 09 04:55:30 GMT 2022
04:55:30,364 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:30,366 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
04:55:30,367 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
04:55:30,367 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:55:30,367 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
04:55:30,375 |-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
04:55:32,303 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
04:55:32,303 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
04:55:32,303 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
04:55:32,305 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
04:55:32,305 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
04:55:32,305 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
04:55:32,305 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
04:55:32,306 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
04:55:32,306 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
04:55:32,306 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
04:55:32,306 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
04:55:32,306 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
04:55:32,307 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
04:55:32,307 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
04:55:32,307 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
04:55:32,307 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
04:55:32,307 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
04:55:32,307 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
04:55:32,307 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
04:55:32,308 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
04:55:32,308 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
04:55:32,309 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
04:55:32,310 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
04:55:32,310 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
04:55:32,310 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
04:55:32,310 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
04:55:32,310 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
04:55:32,311 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
04:55:32,311 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
04:55:32,311 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
04:55:32,311 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
04:55:32,312 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
04:55:32,312 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
04:55:32,313 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
04:55:32,321 |-INFO in ch.qos.logback.classic.joran.JoranConfigurator@6bbe85a8 - Registering current configuration as safe fallback point
04:55:33,918 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting. 
04:55:33,921 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
04:55:33,921 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting. 
04:55:33,923 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
04:55:33,923 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting. 
04:55:33,924 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
04:55:33,924 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting. 
04:55:33,925 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
04:55:33,918 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting. 
04:55:33,921 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
04:55:33,921 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting. 
04:55:33,923 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
04:55:33,923 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting. 
04:55:33,924 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
04:55:33,924 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting. 
04:55:33,925 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
04:55:34,003 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Will scan for changes in [file:/opt/app/babel/config/logback.xml] 
04:55:34,003 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
04:55:34,010 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@4b9e255 - 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.
04:55:34,010 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@1ef6d34c - 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
04:55:34,014 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@4b9e255 - 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.
04:55:34,014 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@1ef6d34c - 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
04:55:34,018 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
04:55:34,018 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
04:55:34,018 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
04:55:34,018 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
04:55:34,019 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating ERROR level on Logger[org.apache.catalina.startup.DigesterFactory] onto the JUL framework
04:55:34,020 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
04:55:34,020 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating ERROR level on Logger[org.apache.catalina.util.LifecycleBase] onto the JUL framework
04:55:34,020 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
04:55:34,020 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.apache.coyote.http11.Http11NioProtocol] onto the JUL framework
04:55:34,020 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
04:55:34,020 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.apache.sshd.common.util.SecurityUtils] onto the JUL framework
04:55:34,021 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
04:55:34,021 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.apache.tomcat.util.net.NioSelectorPool] onto the JUL framework
04:55:34,025 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
04:55:34,025 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating ERROR level on Logger[org.eclipse.jetty.util.component.AbstractLifeCycle] onto the JUL framework
04:55:34,026 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
04:55:34,026 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.hibernate.validator.internal.util.Version] onto the JUL framework
04:55:34,027 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@4b9e255 - 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.
04:55:34,027 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@1ef6d34c - 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
04:55:34,032 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
04:55:34,033 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
04:55:34,033 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:34,036 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@4b9e255 - 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.
04:55:34,036 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@1ef6d34c - 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
04:55:34,043 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:55:34,044 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
04:55:34,049 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:34,050 |-WARN in Logger[org.hibernate.validator.messageinterpolation.ResourceBundleMessageInterpolator] - No appenders present in context [default] for logger [org.hibernate.validator.messageinterpolation.ResourceBundleMessageInterpolator].
04:55:34,112 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1634387050 - Archive files will be limited to [10 MB] each.
04:55:34,113 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1634387050 - Will use gz compression
04:55:34,114 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1634387050 - Will use the pattern /tmp/spring.log.%d{yyyy-MM-dd}.%i for the active file
04:55:34,115 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@7ef27d7f - The date pattern is 'yyyy-MM-dd' from file name pattern '/tmp/spring.log.%d{yyyy-MM-dd}.%i.gz'.
04:55:34,115 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@7ef27d7f - Roll-over at midnight.
04:55:34,116 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@7ef27d7f - Setting initial period to Sun Oct 09 04:55:30 GMT 2022
04:55:34,117 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
04:55:34,117 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
04:55:34,118 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
04:55:34,132 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating INFO level on Logger[ROOT] onto the JUL framework
04:55:34,133 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
04:55:34,133 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
04:55:34,134 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:55:34,134 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
04:55:34,136 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1664598529 - Will use zip compression
04:55:34,137 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1664598529 - Will use the pattern /var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log for the active file
04:55:34,138 |-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'.
04:55:34,138 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:55:34,139 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun Oct 09 04:55:30 GMT 2022
04:55:34,139 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:34,141 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
04:55:34,141 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
04:55:34,142 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:55:34,142 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
04:55:34,157 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
04:55:34,157 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
04:55:34,157 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
04:55:34,158 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:55:34,158 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
04:55:34,160 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1550228904 - Will use zip compression
04:55:34,160 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1550228904 - Will use the pattern /var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log for the active file
04:55:34,161 |-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'.
04:55:34,162 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:55:34,162 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun Oct 09 04:55:30 GMT 2022
04:55:34,162 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:34,164 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
04:55:34,164 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
04:55:34,164 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:55:34,165 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
04:55:34,165 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
04:55:34,165 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
04:55:34,165 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
04:55:34,166 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:55:34,166 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
04:55:34,194 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@831654622 - Will use zip compression
04:55:34,195 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@831654622 - Will use the pattern /var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log for the active file
04:55:34,196 |-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'.
04:55:34,196 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:55:34,197 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun Oct 09 04:55:30 GMT 2022
04:55:34,198 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:34,200 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
04:55:34,200 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
04:55:34,200 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:55:34,200 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
04:55:34,204 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
04:55:34,204 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
04:55:34,205 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
04:55:34,205 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:55:34,205 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
04:55:34,207 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@491273700 - Will use zip compression
04:55:34,208 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@491273700 - Will use the pattern /var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log for the active file
04:55:34,209 |-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'.
04:55:34,209 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:55:34,210 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sun Oct 09 04:55:30 GMT 2022
04:55:34,210 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:34,212 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
04:55:34,213 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
04:55:34,213 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:55:34,213 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
04:55:34,214 |-INFO in ch.qos.logback.classic.boolex.GEventEvaluator@4032d386 - Expression to evaluate [e.level.toInt() < INFO.toInt()]
04:55:34,560 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
04:55:34,560 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
04:55:34,561 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
04:55:34,561 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
04:55:34,561 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [STDOUT]
04:55:34,561 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:55:34,563 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:55:34,563 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [AsyncSysOut]
04:55:34,563 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [STDOUT] to ch.qos.logback.classic.AsyncAppender[AsyncSysOut]
04:55:34,563 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Attaching appender named [STDOUT] to AsyncAppender.
04:55:34,563 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Setting discardingThreshold to 51
04:55:34,567 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
04:55:34,568 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
04:55:34,568 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
04:55:34,568 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[ROOT]
04:55:34,568 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
04:55:34,568 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating INFO level on Logger[com.att.eelf] onto the JUL framework
04:55:34,568 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
04:55:34,569 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
04:55:34,569 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf]
04:55:34,569 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
04:55:34,569 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating INFO level on Logger[com.att.eelf.debug] onto the JUL framework
04:55:34,569 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
04:55:34,569 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
04:55:34,569 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.debug]
04:55:34,569 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
04:55:34,569 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating INFO level on Logger[com.att.eelf.audit] onto the JUL framework
04:55:34,569 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
04:55:34,569 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
04:55:34,570 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.audit]
04:55:34,570 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
04:55:34,570 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating INFO level on Logger[com.att.eelf.metrics] onto the JUL framework
04:55:34,570 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
04:55:34,570 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
04:55:34,570 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.metrics]
04:55:34,570 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
04:55:34,570 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating INFO level on Logger[com.att] onto the JUL framework
04:55:34,570 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
04:55:34,594 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.springframework] onto the JUL framework
04:55:34,595 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
04:55:34,595 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.springframework.beans] onto the JUL framework
04:55:34,595 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
04:55:34,595 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.springframework.web] onto the JUL framework
04:55:34,595 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
04:55:34,596 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.apache] onto the JUL framework
04:55:34,596 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
04:55:34,596 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.apache.commons] onto the JUL framework
04:55:34,596 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
04:55:34,596 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.apache.camel] onto the JUL framework
04:55:34,596 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
04:55:34,596 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.apache.cxf] onto the JUL framework
04:55:34,597 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
04:55:34,597 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.apache.camel.processor.interceptor] onto the JUL framework
04:55:34,597 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
04:55:34,598 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.apache.cxf.jaxrs.interceptor] onto the JUL framework
04:55:34,598 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
04:55:34,598 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.apache.cxf.service] onto the JUL framework
04:55:34,598 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
04:55:34,598 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.restlet] onto the JUL framework
04:55:34,598 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
04:55:34,598 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[org.apache.camel.component.restlet] onto the JUL framework
04:55:34,599 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
04:55:34,599 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[ch.qos.logback.classic] onto the JUL framework
04:55:34,599 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
04:55:34,599 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@46271dd6 - Propagating WARN level on Logger[ch.qos.logback.core] onto the JUL framework
04:55:34,599 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
04:55:34,600 |-INFO in org.springframework.boot.logging.logback.SpringBootJoranConfigurator@2812b107 - Registering current configuration as safe fallback point

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

2022-10-09 04:55:35.345  INFO 10 --- [           main] org.eclipse.jetty.util.log               : Logging initialized @7281ms to org.eclipse.jetty.util.log.Slf4jLog
2022-10-09T04:55:35.345Z||main|||||INFO|org.eclipse.jetty.util.log||Logging initialized @7281ms to org.eclipse.jetty.util.log.Slf4jLog
2022-10-09 04:55:40.213  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
2022-10-09T04:55:40.213Z||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
2022-10-09 04:55:40.376  INFO 10 --- [           main] o.e.j.s.h.ContextHandler.application     : Initializing Spring embedded WebApplicationContext
2022-10-09T04:55:40.376Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring embedded WebApplicationContext
2022-10-09 04:55:40.867  INFO 10 --- [           main] org.eclipse.jetty.server.session         : DefaultSessionIdManager workerName=node0
2022-10-09T04:55:40.867Z||main|||||INFO|org.eclipse.jetty.server.session||DefaultSessionIdManager workerName=node0
2022-10-09 04:55:40.868  INFO 10 --- [           main] org.eclipse.jetty.server.session         : No SessionScavenger set, using defaults
2022-10-09T04:55:40.868Z||main|||||INFO|org.eclipse.jetty.server.session||No SessionScavenger set, using defaults
2022-10-09 04:55:40.871  INFO 10 --- [           main] org.eclipse.jetty.server.session         : node0 Scavenging every 660000ms
2022-10-09T04:55:40.871Z||main|||||INFO|org.eclipse.jetty.server.session||node0 Scavenging every 660000ms
2022-10-09 04:55:40.888  INFO 10 --- [           main] o.e.jetty.server.handler.ContextHandler  : Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@7daa61f3{application,/services/babel-service,[file:///tmp/jetty-docbase.14639286666539450691.9516/],AVAILABLE}
2022-10-09T04:55:40.888Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler||Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@7daa61f3{application,/services/babel-service,[file:///tmp/jetty-docbase.14639286666539450691.9516/],AVAILABLE}
2022-10-09 04:55:40.890  INFO 10 --- [           main] org.eclipse.jetty.server.Server          : Started @12829ms
2022-10-09T04:55:40.890Z||main|||||INFO|org.eclipse.jetty.server.Server||Started @12829ms
2022-10-09 04:55:44.106  INFO 10 --- [           main] o.e.j.s.h.ContextHandler.application     : Initializing Spring DispatcherServlet 'dispatcherServlet'
2022-10-09T04:55:44.106Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring DispatcherServlet 'dispatcherServlet'
2022-10-09 04:55:44.625  INFO 10 --- [           main] o.e.jetty.util.ssl.SslContextFactory     : x509=X509@3a175162(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@1640190a[provider=null,keyStore=file:///opt/app/osaaf/local/org.onap.aai.p12,trustStore=file:///opt/app/osaaf/local/org.onap.aai.trust.jks]
2022-10-09T04:55:44.625Z||main|AAI-BAS||||INFO|org.eclipse.jetty.util.ssl.SslContextFactory||x509=X509@3a175162(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@1640190a[provider=null,keyStore=file:///opt/app/osaaf/local/org.onap.aai.p12,trustStore=file:///opt/app/osaaf/local/org.onap.aai.trust.jks]
2022-10-09 04:55:44.920  INFO 10 --- [           main] o.e.jetty.server.AbstractConnector       : Started ServerConnector@3add81c4{SSL,[ssl, http/1.1]}{0.0.0.0:9516}
2022-10-09T04:55:44.920Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.AbstractConnector||Started ServerConnector@3add81c4{SSL,[ssl, http/1.1]}{0.0.0.0:9516}
2022-10-09T05:52:32.431Z|[e050151f-3827-4da0-bbcc-2a7e4f6784a7]|qtp275754769-25|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=[[e050151f-3827-4da0-bbcc-2a7e4f6784a7]], Content-Length=[100509], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicOnboardJqyjih-csar.csar","csar":"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"}
2022-10-09T05:52:32.447Z|[e050151f-3827-4da0-bbcc-2a7e4f6784a7]|qtp275754769-25|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=[e050151f-3827-4da0-bbcc-2a7e4f6784a7]]
2022-10-09T05:52:32.448Z|[e050151f-3827-4da0-bbcc-2a7e4f6784a7]|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned cfe651a2-8fd5-4648-9b4b-0c760be22e48
2022-10-09T05:52:32.479Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:32.494Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-BasicOnboardJqyjih-csar.csar
2022-10-09T05:52:32.615Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicOnboardJqyjih-template.yml
2022-10-09T05:52:32.629Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicOnboardJqyjih-template-interface.yml
2022-10-09T05:52:32.631Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardJqyjihNodesUbuntu18cvfc-template.yml
2022-10-09T05:52:32.636Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardJqyjihNodesUbuntu18cvfc-template-interface.yml
2022-10-09T05:52:32.641Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:32.645Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:32.646Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardJqyjih-template.yml
2022-10-09T05:52:32.649Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardJqyjih-template-interface.yml
2022-10-09T05:52:32.656Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasiconboardjqyjihComputeNodesHeatUbuntu18-template.yml
2022-10-09T05:52:32.658Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:32.666Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:32.667Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:32.668Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:32.669Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:32.672Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:32.674Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:32.675Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:32.678Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:32.694Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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.BasicOnboardJqyjih_v1.0/Deployment/HEAT/base_ubuntu18.yaml
2022-10-09T05:52:32.704Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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.
2022-10-09 05:52:33.334  INFO 10 --- [qtp275754769-25] org.reflections.Reflections              : Reflections took 34 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-09T05:52:33.334Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 34 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-09 05:52:33.929  INFO 10 --- [qtp275754769-25] org.reflections.Reflections              : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-09T05:52:33.929Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09 05:52:38.479  WARN 10 --- [qtp275754769-25] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-09 05:52:38.479  WARN 10 --- [qtp275754769-25] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp9939160154078779218.csar
2022-10-09T05:52:38.479Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-09T05:52:38.479Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp9939160154078779218.csar
2022-10-09 05:52:38.479  WARN 10 --- [qtp275754769-25] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-09T05:52:38.479Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-09 05:52:38.480  WARN 10 --- [qtp275754769-25] 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/temp9939160154078779218.csar
2022-10-09 05:52:38.480  WARN 10 --- [qtp275754769-25] 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/temp9939160154078779218.csar
2022-10-09T05:52:38.480Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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/temp9939160154078779218.csar
2022-10-09 05:52:38.480  WARN 10 --- [qtp275754769-25] 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/temp9939160154078779218.csar
2022-10-09T05:52:38.480Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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/temp9939160154078779218.csar
2022-10-09T05:52:38.480Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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/temp9939160154078779218.csar
2022-10-09 05:52:38.481  WARN 10 --- [qtp275754769-25] 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/temp9939160154078779218.csar
2022-10-09 05:52:38.481  WARN 10 --- [qtp275754769-25] 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/temp9939160154078779218.csar
2022-10-09T05:52:38.481Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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/temp9939160154078779218.csar
2022-10-09T05:52:38.481Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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/temp9939160154078779218.csar
2022-10-09 05:52:38.481  WARN 10 --- [qtp275754769-25] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_jqyjiH 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/temp9939160154078779218.csar
2022-10-09T05:52:38.481Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_jqyjiH 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/temp9939160154078779218.csar
2022-10-09 05:52:38.482  WARN 10 --- [qtp275754769-25] 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/temp9939160154078779218.csar
2022-10-09 05:52:38.482  WARN 10 --- [qtp275754769-25] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-09T05:52:38.482Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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/temp9939160154078779218.csar
2022-10-09T05:52:38.482Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-09T05:52:39.218Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-10-09T05:52:39.270Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-10-09T05:52:39.326Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:39.329Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-10-09 05:52:39.335  INFO 10 --- [qtp275754769-25] org.reflections.Reflections              : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-09T05:52:39.335Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09 05:52:42.789  WARN 10 --- [qtp275754769-25] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-09 05:52:42.789  WARN 10 --- [qtp275754769-25] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp6906365640525492166.csar
2022-10-09 05:52:42.790  WARN 10 --- [qtp275754769-25] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-09 05:52:42.790  WARN 10 --- [qtp275754769-25] 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/temp6906365640525492166.csar
2022-10-09 05:52:42.790  WARN 10 --- [qtp275754769-25] 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/temp6906365640525492166.csar
2022-10-09 05:52:42.790  WARN 10 --- [qtp275754769-25] 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/temp6906365640525492166.csar
2022-10-09 05:52:42.791  WARN 10 --- [qtp275754769-25] 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/temp6906365640525492166.csar
2022-10-09 05:52:42.791  WARN 10 --- [qtp275754769-25] 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/temp6906365640525492166.csar
2022-10-09 05:52:42.791  WARN 10 --- [qtp275754769-25] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_jqyjiH 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/temp6906365640525492166.csar
2022-10-09 05:52:42.791  WARN 10 --- [qtp275754769-25] 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/temp6906365640525492166.csar
2022-10-09 05:52:42.791  WARN 10 --- [qtp275754769-25] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-09T05:52:42.789Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-09T05:52:42.789Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp6906365640525492166.csar
2022-10-09T05:52:42.790Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-09T05:52:42.790Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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/temp6906365640525492166.csar
2022-10-09T05:52:42.790Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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/temp6906365640525492166.csar
2022-10-09T05:52:42.790Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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/temp6906365640525492166.csar
2022-10-09T05:52:42.791Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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/temp6906365640525492166.csar
2022-10-09T05:52:42.791Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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/temp6906365640525492166.csar
2022-10-09T05:52:42.791Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_jqyjiH 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/temp6906365640525492166.csar
2022-10-09T05:52:42.791Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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/temp6906365640525492166.csar
2022-10-09T05:52:42.791Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-09T05:52:42.794Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-10-09T05:52:42.824Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|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
2022-10-09T05:52:42.842Z|cfe651a2-8fd5-4648-9b4b-0c760be22e48|qtp275754769-25|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-basic_onboard_jqyjiH-service-1.0.xml","type":"MODEL","payload":"\n    acb0a858-b40c-4390-a05b-f726ced152d7\n    service\n    Network Service\n    \n        \n            350b64c1-2f51-4cd7-b661-3d84905c34fc\n            basic_onboard_jqyjiH\n            1.0\n            service\n            \n                \n                    T\n                    unbounded\n                    \n                        \n                            T\n                            unbounded\n                            \n                            \n                                \n                                    model-ver\n                                    \n                                        model-ver.model-version-id\n                                        5480a5b3-4a2c-4cba-aa21-e379c6fe8f1f\n                                    \n                                    \n                                        model.model-invariant-id\n                                        fb35d004-fc57-4931-b0e3-cee4e2c8f345\n                                    \n                                \n                            \n                        \n                    \n                    \n                        \n                            model-ver\n                            \n                                model-ver.model-version-id\n                                46b92144-923a-4d20-b85a-3cbd847668a9\n                            \n                            \n                                model.model-invariant-id\n                                82194af1-3c2c-485a-8f44-420e22a9eaa4\n                            \n                        \n                    \n                \n            \n        \n    \n"},{"name":"AAI-BasicOnboardJqyjih..base_ubuntu18..module-0-resource-1.xml","type":"MODEL","payload":"\n    a5cb738c-857e-4326-abb8-2473dee75c54\n    resource\n    \n        \n            23bcd1fb-2ab9-4289-81d4-b32f8546e66b\n            BasicOnboardJqyjih..base_ubuntu18..module-0\n            1\n            \n                \n                    T\n                    unbounded\n                    \n                        \n                            T\n                            unbounded\n                            \n                                \n                                    F\n                                    unbounded\n                                    \n                                    \n                                        \n                                            model-ver\n                                            \n                                                model-ver.model-version-id\n                                                f6a038c2-820c-42ba-8c2b-375e24e8f932\n                                            \n                                            \n                                                model.model-invariant-id\n                                                3f4c7204-739b-4bbb-87a7-8a6856439c90\n                                            \n                                        \n                                    \n                                \n                                \n                                    F\n                                    unbounded\n                                    \n                                    \n                                        \n                                            model-ver\n                                            \n                                                model-ver.model-version-id\n                                                abcc54bc-bb74-49dc-9043-7f7171707545\n                                            \n                                            \n                                                model.model-invariant-id\n                                                97c26c99-6870-44c1-8a07-1d900d3f4ce6\n                                            \n                                        \n                                    \n                                \n                                \n                                    F\n                                    unbounded\n                                    \n                                    \n                                        \n                                            model-ver\n                                            \n                                                model-ver.model-version-id\n                                                36200fb5-f251-4f5d-a520-7c5ad5c2cd4b\n                                            \n                                            \n                                                model.model-invariant-id\n                                                bace8d1c-a261-4041-9e37-823117415d0f\n                                            \n                                        \n                                    \n                                \n                                \n                                    T\n                                    unbounded\n                                    \n                                    \n                                        \n                                            model-ver\n                                            \n                                                model-ver.model-version-id\n                                                5761e0a7-c6df-4d8a-9ebd-b8f445054dec\n                                            \n                                            \n                                                model.model-invariant-id\n                                                96129eb9-f0de-4e05-8af2-73146473f766\n                                            \n                                        \n                                    \n                                \n                            \n                            \n                                \n                                    model-ver\n                                    \n                                        model-ver.model-version-id\n                                        8ecb2c5d-7176-4317-a255-26274edfdd53\n                                    \n                                    \n                                        model.model-invariant-id\n                                        ff69d4e0-a8e8-4108-bdb0-dd63217e63c7\n                                    \n                                \n                            \n                        \n                    \n                    \n                        \n                            model-ver\n                            \n                                model-ver.model-version-id\n                                c00563ae-812b-4e62-8330-7c4d0f47088a\n                            \n                            \n                                model.model-invariant-id\n                                ef86f9c5-2165-44f3-8fc3-96018b609ea5\n                            \n                        \n                    \n                \n            \n        \n    \n"},{"name":"AAI-basic_onboard_jqyjiH-resource-1.0.xml","type":"MODEL","payload":"\n    fb35d004-fc57-4931-b0e3-cee4e2c8f345\n    resource\n    \n        \n            5480a5b3-4a2c-4cba-aa21-e379c6fe8f1f\n            basic_onboard_jqyjiH\n            1.0\n            VF\n            \n                \n                    T\n                    unbounded\n                    \n                        \n                            T\n                            unbounded\n                            \n                            \n                                \n                                    model-ver\n                                    \n                                        model-ver.model-version-id\n                                        23bcd1fb-2ab9-4289-81d4-b32f8546e66b\n                                    \n                                    \n                                        model.model-invariant-id\n                                        a5cb738c-857e-4326-abb8-2473dee75c54\n                                    \n                                \n                            \n                        \n                    \n                    \n                        \n                            model-ver\n                            \n                                model-ver.model-version-id\n                                93a6166f-b3d5-4f06-b4ba-aed48d009ad9\n                            \n                            \n                                model.model-invariant-id\n                                acc6edd8-a8d4-4b93-afaa-0994068be14c\n                            \n                        \n                    \n                \n            \n        \n    \n"}]
2022-10-09T06:05:56.580Z|[7db56a13-5622-4663-8879-6618774117d2]|qtp275754769-28|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=[[7db56a13-5622-4663-8879-6618774117d2]], Content-Length=[76971], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicNetwork-csar.csar","csar":"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"}
2022-10-09T06:05:56.582Z|[7db56a13-5622-4663-8879-6618774117d2]|qtp275754769-28|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=[7db56a13-5622-4663-8879-6618774117d2]]
2022-10-09T06:05:56.583Z|[7db56a13-5622-4663-8879-6618774117d2]|qtp275754769-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned 8d1ad603-c8d6-49c9-81e7-580ac67317e6
2022-10-09T06:05:56.593Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.594Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.599Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.599Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.600Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.601Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.603Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.606Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.607Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.608Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.609Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.609Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.610Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.611Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.612Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:56.614Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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.
2022-10-09 06:05:56.632  INFO 10 --- [qtp275754769-28] org.reflections.Reflections              : Reflections took 6 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-09T06:05:56.632Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 6 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-09 06:05:58.210  WARN 10 --- [qtp275754769-28] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-09T06:05:58.210Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-09 06:05:58.212  WARN 10 --- [qtp275754769-28] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp13014866209081428082.csar
2022-10-09T06:05:58.212Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp13014866209081428082.csar
2022-10-09 06:05:58.213  WARN 10 --- [qtp275754769-28] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-10-09T06:05:58.213Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-10-09 06:05:58.213  WARN 10 --- [qtp275754769-28] 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/temp13014866209081428082.csar
2022-10-09T06:05:58.213Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp13014866209081428082.csar
2022-10-09 06:05:58.214  WARN 10 --- [qtp275754769-28] 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/temp13014866209081428082.csar
2022-10-09T06:05:58.214Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp13014866209081428082.csar
2022-10-09 06:05:58.215  WARN 10 --- [qtp275754769-28] 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/temp13014866209081428082.csar
2022-10-09T06:05:58.215Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp13014866209081428082.csar
2022-10-09 06:05:58.216  WARN 10 --- [qtp275754769-28] 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/temp13014866209081428082.csar
2022-10-09T06:05:58.216Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp13014866209081428082.csar
2022-10-09 06:05:58.216  WARN 10 --- [qtp275754769-28] 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/temp13014866209081428082.csar
2022-10-09T06:05:58.216Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp13014866209081428082.csar
2022-10-09 06:05:58.217  WARN 10 --- [qtp275754769-28] 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/temp13014866209081428082.csar
2022-10-09T06:05:58.217Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp13014866209081428082.csar
2022-10-09 06:05:58.218  WARN 10 --- [qtp275754769-28] 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/temp13014866209081428082.csar
2022-10-09T06:05:58.218Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp13014866209081428082.csar
2022-10-09 06:05:58.218  WARN 10 --- [qtp275754769-28] 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/temp13014866209081428082.csar
2022-10-09T06:05:58.218Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp13014866209081428082.csar
2022-10-09 06:05:58.219  WARN 10 --- [qtp275754769-28] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-09T06:05:58.219Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-09T06:05:58.257Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-10-09T06:05:58.303Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:58.304Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-10-09 06:05:58.308  INFO 10 --- [qtp275754769-28] org.reflections.Reflections              : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-09T06:05:58.308Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-09 06:05:59.493  WARN 10 --- [qtp275754769-28] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-09T06:05:59.493Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-09 06:05:59.494  WARN 10 --- [qtp275754769-28] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp17594319445261364905.csar
2022-10-09T06:05:59.494Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp17594319445261364905.csar
2022-10-09 06:05:59.495  WARN 10 --- [qtp275754769-28] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-10-09T06:05:59.495Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-10-09 06:05:59.496  WARN 10 --- [qtp275754769-28] 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/temp17594319445261364905.csar
2022-10-09T06:05:59.496Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp17594319445261364905.csar
2022-10-09 06:05:59.497  WARN 10 --- [qtp275754769-28] 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/temp17594319445261364905.csar
2022-10-09T06:05:59.497Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp17594319445261364905.csar
2022-10-09 06:05:59.497  WARN 10 --- [qtp275754769-28] 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/temp17594319445261364905.csar
2022-10-09T06:05:59.497Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp17594319445261364905.csar
2022-10-09 06:05:59.498  WARN 10 --- [qtp275754769-28] 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/temp17594319445261364905.csar
2022-10-09T06:05:59.498Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp17594319445261364905.csar
2022-10-09 06:05:59.499  WARN 10 --- [qtp275754769-28] 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/temp17594319445261364905.csar
2022-10-09T06:05:59.499Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp17594319445261364905.csar
2022-10-09 06:05:59.499  WARN 10 --- [qtp275754769-28] 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/temp17594319445261364905.csar
2022-10-09T06:05:59.499Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp17594319445261364905.csar
2022-10-09 06:05:59.500  WARN 10 --- [qtp275754769-28] 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/temp17594319445261364905.csar
2022-10-09T06:05:59.500Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp17594319445261364905.csar
2022-10-09 06:05:59.501  WARN 10 --- [qtp275754769-28] 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/temp17594319445261364905.csar
2022-10-09T06:05:59.501Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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/temp17594319445261364905.csar
2022-10-09 06:05:59.501  WARN 10 --- [qtp275754769-28] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-09T06:05:59.501Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-09T06:05:59.503Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-10-09T06:05:59.506Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|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
2022-10-09T06:05:59.508Z|8d1ad603-c8d6-49c9-81e7-580ac67317e6|qtp275754769-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-basic_network-service-1.0.xml","type":"MODEL","payload":"\n    2b0475db-f7a2-4696-a8d0-1ae590e35b87\n    service\n    Network Service\n    \n        \n            3b3e8ad4-f2b2-4547-ad60-c5cc93791d19\n            basic_network\n            1.0\n            service\n            \n                \n                    T\n                    unbounded\n                    \n                        \n                            F\n                            unbounded\n                            \n                            \n                                \n                                    model-ver\n                                    \n                                        model-ver.model-version-id\n                                        103302ca-85c8-4c15-bfc0-27b77fc4c42e\n                                    \n                                    \n                                        model.model-invariant-id\n                                        4742b970-a970-4290-bffc-65619a3eab54\n                                    \n                                \n                            \n                        \n                    \n                    \n                        \n                            model-ver\n                            \n                                model-ver.model-version-id\n                                46b92144-923a-4d20-b85a-3cbd847668a9\n                            \n                            \n                                model.model-invariant-id\n                                82194af1-3c2c-485a-8f44-420e22a9eaa4\n                            \n                        \n                    \n                \n            \n        \n    \n"},{"name":"AAI-Generic NeutronNet-resource-1.0.xml","type":"MODEL","payload":"\n    4742b970-a970-4290-bffc-65619a3eab54\n    resource\n    \n        \n            103302ca-85c8-4c15-bfc0-27b77fc4c42e\n            Generic NeutronNet\n            1.0\n            Generic NeutronNet\n            \n                \n                    F\n                    unbounded\n                    \n                    \n                        \n                            model-ver\n                            \n                                model-ver.model-version-id\n                                9111f20f-e680-4001-b83f-19a2fc23bfc1\n                            \n                            \n                                model.model-invariant-id\n                                3d560d81-57d0-438b-a2a1-5334dba0651a\n                            \n                        \n                    \n                \n            \n        \n    \n"}]
2022-10-09T06:06:32.373Z|[78b63b43-5c2e-4ffa-bb7e-e91460c74f8a]|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], User-Agent=[Java/11.0.9], Connection=[keep-alive], Host=[aai-babel.onap:9516], X-TransactionId=[[78b63b43-5c2e-4ffa-bb7e-e91460c74f8a]], Content-Length=[117134], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-DemoPnfM1iqjnkrxqs9t3x5t9b2-csar.csar","csar":"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"}
2022-10-09T06:06:32.374Z|[78b63b43-5c2e-4ffa-bb7e-e91460c74f8a]|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: RequestHeaders [requestId=null, instanceId=null, transactionId=[78b63b43-5c2e-4ffa-bb7e-e91460c74f8a]]
2022-10-09T06:06:32.376Z|[78b63b43-5c2e-4ffa-bb7e-e91460c74f8a]|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned cc48f1d0-6429-4469-9089-d965f0b5c704
2022-10-09T06:06:32.386Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: Starting to process csarArchive to convert contents to XML artifacts
2022-10-09T06:06:32.387Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-DemoPnfM1iqjnkrxqs9t3x5t9b2-csar.csar
2022-10-09T06:06:32.390Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-DemoPnfM1iqjnkrxqs9t3x5t9b2-template.yml
2022-10-09T06:06:32.391Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-DemoPnfM1iqjnkrxqs9t3x5t9b2-template-interface.yml
2022-10-09T06:06:32.392Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Extcp2-template.yml
2022-10-09T06:06:32.392Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-PnfF39b97748d7a-template.yml
2022-10-09T06:06:32.393Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-PnfF39b97748d7a-template-interface.yml
2022-10-09T06:06:32.394Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Globalport-template.yml
2022-10-09T06:06:32.395Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Port-template.yml
2022-10-09T06:06:32.396Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/data.yml
2022-10-09T06:06:32.398Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/groups.yml
2022-10-09T06:06:32.399Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/policies.yml
2022-10-09T06:06:32.400Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/annotations.yml
2022-10-09T06:06:32.401Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/relationships.yml
2022-10-09T06:06:32.401Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/artifacts.yml
2022-10-09T06:06:32.402Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/capabilities.yml
2022-10-09T06:06:32.403Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/interfaces.yml
2022-10-09T06:06:32.405Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/nodes.yml
2022-10-09T06:06:32.407Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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.PnfF39b97748d7a_v1.0/Deployment/PM_DICTIONARY/PM_Dictionary.yaml
2022-10-09T06:06:32.408Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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.PnfF39b97748d7a_v1.0/Deployment/VES_EVENTS/MyPnf_Pnf_v1.yaml
2022-10-09T06:06:32.409Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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.
2022-10-09 06:06:32.416  INFO 10 --- [qtp275754769-31] org.reflections.Reflections              : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-09T06:06:32.416Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-09 06:06:34.424  WARN 10 --- [qtp275754769-31] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-09T06:06:34.424Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-09 06:06:34.425  WARN 10 --- [qtp275754769-31] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp8215094186700802695.csar
2022-10-09T06:06:34.425Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp8215094186700802695.csar
2022-10-09 06:06:34.426  WARN 10 --- [qtp275754769-31] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-09T06:06:34.426Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-09 06:06:34.426  WARN 10 --- [qtp275754769-31] 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/temp8215094186700802695.csar
2022-10-09T06:06:34.426Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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/temp8215094186700802695.csar
2022-10-09 06:06:34.427  WARN 10 --- [qtp275754769-31] 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/temp8215094186700802695.csar
2022-10-09T06:06:34.427Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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/temp8215094186700802695.csar
2022-10-09 06:06:34.428  WARN 10 --- [qtp275754769-31] 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/temp8215094186700802695.csar
2022-10-09T06:06:34.428Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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/temp8215094186700802695.csar
2022-10-09 06:06:34.428  WARN 10 --- [qtp275754769-31] 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/temp8215094186700802695.csar
2022-10-09T06:06:34.428Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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/temp8215094186700802695.csar
2022-10-09 06:06:34.429  WARN 10 --- [qtp275754769-31] 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/temp8215094186700802695.csar
2022-10-09T06:06:34.429Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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/temp8215094186700802695.csar
2022-10-09 06:06:34.430  WARN 10 --- [qtp275754769-31] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF f39b9774-8d7a 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/temp8215094186700802695.csar
2022-10-09T06:06:34.430Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF f39b9774-8d7a 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/temp8215094186700802695.csar
2022-10-09 06:06:34.430  WARN 10 --- [qtp275754769-31] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp8215094186700802695.csar
2022-10-09T06:06:34.430Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp8215094186700802695.csar
2022-10-09 06:06:34.431  WARN 10 --- [qtp275754769-31] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-09T06:06:34.431Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-09T06:06:34.468Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-10-09T06:06:34.494Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: 2 XML artifact(s) have been generated
2022-10-09T06:06:34.495Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-10-09 06:06:34.500  INFO 10 --- [qtp275754769-31] org.reflections.Reflections              : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-09T06:06:34.500Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-10-09 06:06:36.537  WARN 10 --- [qtp275754769-31] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-09T06:06:36.537Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-09 06:06:36.538  WARN 10 --- [qtp275754769-31] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp13406270014202165376.csar
2022-10-09T06:06:36.538Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp13406270014202165376.csar
2022-10-09 06:06:36.538  WARN 10 --- [qtp275754769-31] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-09T06:06:36.538Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-09 06:06:36.538  WARN 10 --- [qtp275754769-31] 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/temp13406270014202165376.csar
2022-10-09T06:06:36.538Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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/temp13406270014202165376.csar
2022-10-09 06:06:36.539  WARN 10 --- [qtp275754769-31] 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/temp13406270014202165376.csar
2022-10-09T06:06:36.539Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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/temp13406270014202165376.csar
2022-10-09 06:06:36.539  WARN 10 --- [qtp275754769-31] 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/temp13406270014202165376.csar
2022-10-09T06:06:36.539Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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/temp13406270014202165376.csar
2022-10-09 06:06:36.540  WARN 10 --- [qtp275754769-31] 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/temp13406270014202165376.csar
2022-10-09T06:06:36.540Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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/temp13406270014202165376.csar
2022-10-09 06:06:36.540  WARN 10 --- [qtp275754769-31] 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/temp13406270014202165376.csar
2022-10-09T06:06:36.540Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|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/temp13406270014202165376.csar
2022-10-09 06:06:36.541  WARN 10 --- [qtp275754769-31] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF f39b9774-8d7a 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/temp13406270014202165376.csar
2022-10-09T06:06:36.541Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF f39b9774-8d7a 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/temp13406270014202165376.csar
2022-10-09 06:06:36.542  WARN 10 --- [qtp275754769-31] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp13406270014202165376.csar
2022-10-09T06:06:36.542Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp13406270014202165376.csar
2022-10-09 06:06:36.542  WARN 10 --- [qtp275754769-31] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-10-09T06:06:36.542Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-09T06:06:36.543Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-10-09T06:06:36.545Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0001I Distribution event: org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts
2022-10-09T06:06:36.546Z|cc48f1d0-6429-4469-9089-d965f0b5c704|qtp275754769-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-Demo_pNF_M1IqJNkrxQS9T3x5t9B2-service-1.0.xml","type":"MODEL","payload":"\n    b3e522b7-496c-4a76-91e1-d076478beaa3\n    service\n    Network L1-3\n    \n        \n            1242fd09-7a0c-443a-85fe-5200763fbcb1\n            Demo_pNF_M1IqJNkrxQS9T3x5t9B2\n            1.0\n            catalog service description\n            \n                \n                    T\n                    unbounded\n                    \n                        \n                            T\n                            unbounded\n                            \n                            \n                                \n                                    model-ver\n                                    \n                                        model-ver.model-version-id\n                                        f66b3edd-9088-4984-a92e-debda72b88f9\n                                    \n                                    \n                                        model.model-invariant-id\n                                        a70da60e-c654-45ba-a156-a163de0b2f53\n                                    \n                                \n                            \n                        \n                    \n                    \n                        \n                            model-ver\n                            \n                                model-ver.model-version-id\n                                46b92144-923a-4d20-b85a-3cbd847668a9\n                            \n                            \n                                model.model-invariant-id\n                                82194af1-3c2c-485a-8f44-420e22a9eaa4\n                            \n                        \n                    \n                \n            \n        \n    \n"},{"name":"AAI-pNF f39b9774-8d7a-resource-1.0.xml","type":"MODEL","payload":"\n    a70da60e-c654-45ba-a156-a163de0b2f53\n    resource\n    \n        \n            f66b3edd-9088-4984-a92e-debda72b88f9\n            pNF f39b9774-8d7a\n            1.0\n            vendor software product\n            \n                \n                    T\n                    unbounded\n                    \n                    \n                        \n                            model-ver\n                            \n                                model-ver.model-version-id\n                                e9f1fa7d-c839-418a-9601-03dc0d2ad687\n                            \n                            \n                                model.model-invariant-id\n                                862b25a1-262a-4961-bdaa-cdc55d69785a\n                            \n                        \n                    \n                \n            \n        \n    \n"}]
2022-10-09T06:07:01.429Z|[261cb056-61f4-48d3-b06e-ae4da65b21b9]|qtp275754769-28|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=[[261cb056-61f4-48d3-b06e-ae4da65b21b9]], Content-Length=[99850], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicVm-csar.csar","csar":"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