By type
*** retrieve Truststore and Keystore password
*** actual launch of AAI Babel
00:30:03,175 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could NOT find resource [logback-test.xml]
00:30:03,177 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could NOT find resource [logback.groovy]
00:30:03,177 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Found resource [logback.xml] at [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/classes!/logback.xml]
00:30:03,232 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/classes!/logback.xml] is not of type file
00:30:03,446 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Will scan for changes in [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/classes!/logback.xml]
00:30:03,447 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
00:30:03,454 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] to configuration watch list.
00:30:03,454 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] is not of type file
00:30:03,458 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] to configuration watch list.
00:30:03,458 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] is not of type file
00:30:03,462 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
00:30:03,462 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
00:30:03,462 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
00:30:03,474 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
00:30:03,474 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
00:30:03,474 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
00:30:03,474 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
00:30:03,474 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
00:30:03,474 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
00:30:03,474 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
00:30:03,476 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] to configuration watch list.
00:30:03,476 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] is not of type file
00:30:03,478 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
00:30:03,485 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
00:30:03,517 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:03,556 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] to configuration watch list.
00:30:03,556 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] is not of type file
00:30:03,558 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
00:30:03,562 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
00:30:03,563 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:03,573 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Archive files will be limited to [10 MB] each.
00:30:03,576 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Will use gz compression
00:30:03,577 |-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
00:30:03,580 |-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'.
00:30:03,580 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Roll-over at midnight.
00:30:03,586 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Setting initial period to Fri Mar 25 00:30:03 GMT 2022
00:30:03,591 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
00:30:03,591 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
00:30:03,612 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
00:30:03,613 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
00:30:03,614 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
00:30:03,615 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
00:30:03,615 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
00:30:03,616 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1979313356 - Will use zip compression
00:30:03,616 |-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
00:30:03,618 |-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'.
00:30:03,618 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
00:30:03,619 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Mar 25 00:30:03 GMT 2022
00:30:03,619 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:03,621 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
00:30:03,621 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
00:30:03,621 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
00:30:03,623 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
00:30:03,625 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
00:30:03,625 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
00:30:03,625 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
00:30:03,626 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
00:30:03,626 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
00:30:03,626 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1975546571 - Will use zip compression
00:30:03,627 |-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
00:30:03,627 |-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'.
00:30:03,627 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
00:30:03,628 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Mar 25 00:30:03 GMT 2022
00:30:03,628 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:03,632 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
00:30:03,632 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
00:30:03,632 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
00:30:03,633 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
00:30:03,633 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
00:30:03,633 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
00:30:03,633 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
00:30:03,634 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
00:30:03,634 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
00:30:03,634 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1526298704 - Will use zip compression
00:30:03,634 |-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
00:30:03,635 |-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'.
00:30:03,635 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
00:30:03,636 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Mar 25 00:30:03 GMT 2022
00:30:03,636 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:03,637 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
00:30:03,637 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
00:30:03,637 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
00:30:03,638 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
00:30:03,638 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
00:30:03,638 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
00:30:03,638 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
00:30:03,638 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
00:30:03,638 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
00:30:03,639 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1593180232 - Will use zip compression
00:30:03,639 |-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
00:30:03,640 |-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'.
00:30:03,640 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
00:30:03,640 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Mar 25 00:30:03 GMT 2022
00:30:03,641 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:03,641 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
00:30:03,641 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
00:30:03,641 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
00:30:03,642 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
00:30:03,644 |-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.vmplugin.v7.Java7$1 (jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/groovy-2.5.9.jar!/) to constructor java.lang.invoke.MethodHandles$Lookup(java.lang.Class,int)
WARNING: Please consider reporting this to the maintainers of org.codehaus.groovy.vmplugin.v7.Java7$1
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
00:30:04,385 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
00:30:04,385 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
00:30:04,385 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
00:30:04,385 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
00:30:04,386 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
00:30:04,386 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
00:30:04,386 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
00:30:04,386 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
00:30:04,386 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
00:30:04,386 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
00:30:04,386 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
00:30:04,386 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
00:30:04,386 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
00:30:04,386 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
00:30:04,386 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
00:30:04,387 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
00:30:04,387 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
00:30:04,387 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
00:30:04,387 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
00:30:04,387 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
00:30:04,387 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
00:30:04,387 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
00:30:04,387 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
00:30:04,387 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
00:30:04,387 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
00:30:04,387 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
00:30:04,388 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
00:30:04,388 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
00:30:04,388 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
00:30:04,388 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
00:30:04,388 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
00:30:04,388 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
00:30:04,388 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
00:30:04,388 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
00:30:04,413 |-INFO in ch.qos.logback.classic.joran.JoranConfigurator@3e27ba32 - Registering current configuration as safe fallback point
00:30:05,121 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting.
00:30:05,123 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
00:30:05,124 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting.
00:30:05,125 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
00:30:05,125 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting.
00:30:05,126 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
00:30:05,126 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting.
00:30:05,127 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
00:30:05,121 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting.
00:30:05,123 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
00:30:05,124 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting.
00:30:05,125 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
00:30:05,125 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting.
00:30:05,126 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
00:30:05,126 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting.
00:30:05,127 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
00:30:05,143 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Will scan for changes in [file:/opt/app/babel/config/logback.xml]
00:30:05,143 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
00:30:05,144 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] to configuration watch list.
00:30:05,144 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@31920ade - URL [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] is not of type file
00:30:05,146 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] to configuration watch list.
00:30:05,146 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@31920ade - URL [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] is not of type file
00:30:05,148 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
00:30:05,148 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
00:30:05,148 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
00:30:05,149 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
00:30:05,149 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating ERROR level on Logger[org.apache.catalina.startup.DigesterFactory] onto the JUL framework
00:30:05,149 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
00:30:05,150 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating ERROR level on Logger[org.apache.catalina.util.LifecycleBase] onto the JUL framework
00:30:05,150 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
00:30:05,150 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.apache.coyote.http11.Http11NioProtocol] onto the JUL framework
00:30:05,150 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
00:30:05,150 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.apache.sshd.common.util.SecurityUtils] onto the JUL framework
00:30:05,150 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
00:30:05,150 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.apache.tomcat.util.net.NioSelectorPool] onto the JUL framework
00:30:05,150 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
00:30:05,151 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating ERROR level on Logger[org.eclipse.jetty.util.component.AbstractLifeCycle] onto the JUL framework
00:30:05,151 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
00:30:05,151 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.hibernate.validator.internal.util.Version] onto the JUL framework
00:30:05,151 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] to configuration watch list.
00:30:05,151 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@31920ade - URL [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] is not of type file
00:30:05,153 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
00:30:05,153 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
00:30:05,153 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:05,154 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] to configuration watch list.
00:30:05,154 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@31920ade - URL [jar:file:/opt/app/babel/babel-1.9.3.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] is not of type file
00:30:05,156 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
00:30:05,156 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
00:30:05,156 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:05,157 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@533810548 - Archive files will be limited to [10 MB] each.
00:30:05,157 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@533810548 - Will use gz compression
00:30:05,158 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@533810548 - Will use the pattern /tmp/spring.log.%d{yyyy-MM-dd}.%i for the active file
00:30:05,158 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@2b175c00 - The date pattern is 'yyyy-MM-dd' from file name pattern '/tmp/spring.log.%d{yyyy-MM-dd}.%i.gz'.
00:30:05,158 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@2b175c00 - Roll-over at midnight.
00:30:05,159 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@2b175c00 - Setting initial period to Fri Mar 25 00:30:03 GMT 2022
00:30:05,159 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
00:30:05,159 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
00:30:05,159 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
00:30:05,161 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating INFO level on Logger[ROOT] onto the JUL framework
00:30:05,161 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
00:30:05,161 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
00:30:05,161 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
00:30:05,162 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
00:30:05,162 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@451460284 - Will use zip compression
00:30:05,162 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@451460284 - Will use the pattern /var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log for the active file
00:30:05,163 |-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'.
00:30:05,163 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
00:30:05,163 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Mar 25 00:30:03 GMT 2022
00:30:05,163 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:05,164 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
00:30:05,164 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
00:30:05,164 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
00:30:05,164 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
00:30:05,165 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
00:30:05,165 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
00:30:05,165 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
00:30:05,165 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
00:30:05,165 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
00:30:05,165 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1826334428 - Will use zip compression
00:30:05,166 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1826334428 - Will use the pattern /var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log for the active file
00:30:05,166 |-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'.
00:30:05,166 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
00:30:05,166 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Mar 25 00:30:03 GMT 2022
00:30:05,167 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:05,167 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
00:30:05,167 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
00:30:05,167 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
00:30:05,167 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
00:30:05,168 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
00:30:05,168 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
00:30:05,168 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
00:30:05,212 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
00:30:05,212 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
00:30:05,214 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@2101153819 - Will use zip compression
00:30:05,214 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@2101153819 - Will use the pattern /var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log for the active file
00:30:05,216 |-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'.
00:30:05,216 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
00:30:05,217 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Mar 25 00:30:03 GMT 2022
00:30:05,217 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:05,219 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
00:30:05,219 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
00:30:05,219 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
00:30:05,219 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
00:30:05,220 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
00:30:05,220 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
00:30:05,220 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
00:30:05,220 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
00:30:05,220 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
00:30:05,221 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@51152513 - Will use zip compression
00:30:05,222 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@51152513 - Will use the pattern /var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log for the active file
00:30:05,222 |-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'.
00:30:05,222 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
00:30:05,235 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Fri Mar 25 00:30:03 GMT 2022
00:30:05,236 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:05,237 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
00:30:05,237 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
00:30:05,237 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
00:30:05,237 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
00:30:05,238 |-INFO in ch.qos.logback.classic.boolex.GEventEvaluator@5cdec700 - Expression to evaluate [e.level.toInt() < INFO.toInt()]
00:30:05,332 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
00:30:05,333 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
00:30:05,333 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
00:30:05,333 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
00:30:05,333 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [STDOUT]
00:30:05,333 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
00:30:05,334 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
00:30:05,334 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [AsyncSysOut]
00:30:05,334 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [STDOUT] to ch.qos.logback.classic.AsyncAppender[AsyncSysOut]
00:30:05,334 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Attaching appender named [STDOUT] to AsyncAppender.
00:30:05,334 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Setting discardingThreshold to 51
00:30:05,334 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
00:30:05,334 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
00:30:05,334 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
00:30:05,334 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[ROOT]
00:30:05,334 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
00:30:05,334 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating INFO level on Logger[com.att.eelf] onto the JUL framework
00:30:05,334 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
00:30:05,335 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
00:30:05,335 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf]
00:30:05,335 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
00:30:05,335 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating INFO level on Logger[com.att.eelf.debug] onto the JUL framework
00:30:05,335 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
00:30:05,335 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
00:30:05,335 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.debug]
00:30:05,335 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
00:30:05,335 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating INFO level on Logger[com.att.eelf.audit] onto the JUL framework
00:30:05,335 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
00:30:05,335 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
00:30:05,335 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.audit]
00:30:05,335 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
00:30:05,335 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating INFO level on Logger[com.att.eelf.metrics] onto the JUL framework
00:30:05,335 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
00:30:05,335 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
00:30:05,335 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.metrics]
00:30:05,335 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
00:30:05,335 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating INFO level on Logger[com.att] onto the JUL framework
00:30:05,335 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
00:30:05,335 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.springframework] onto the JUL framework
00:30:05,336 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
00:30:05,336 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.springframework.beans] onto the JUL framework
00:30:05,336 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
00:30:05,336 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.springframework.web] onto the JUL framework
00:30:05,336 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
00:30:05,336 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.apache] onto the JUL framework
00:30:05,336 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
00:30:05,336 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.apache.commons] onto the JUL framework
00:30:05,336 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
00:30:05,336 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.apache.camel] onto the JUL framework
00:30:05,336 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
00:30:05,336 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.apache.cxf] onto the JUL framework
00:30:05,336 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
00:30:05,336 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.apache.camel.processor.interceptor] onto the JUL framework
00:30:05,337 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
00:30:05,337 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.apache.cxf.jaxrs.interceptor] onto the JUL framework
00:30:05,337 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
00:30:05,337 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.apache.cxf.service] onto the JUL framework
00:30:05,338 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
00:30:05,338 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.restlet] onto the JUL framework
00:30:05,338 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
00:30:05,338 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[org.apache.camel.component.restlet] onto the JUL framework
00:30:05,338 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
00:30:05,338 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[ch.qos.logback.classic] onto the JUL framework
00:30:05,338 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
00:30:05,338 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@1d483de4 - Propagating WARN level on Logger[ch.qos.logback.core] onto the JUL framework
00:30:05,338 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
00:30:05,338 |-INFO in org.springframework.boot.logging.logback.SpringBootJoranConfigurator@c7045b9 - Registering current configuration as safe fallback point
. ____ _ __ _ _
/\\ / ___'_ __ _ _(_)_ __ __ _ \ \ \ \
( ( )\___ | '_ | '_| | '_ \/ _` | \ \ \ \
\\/ ___)| |_)| | | | | || (_| | ) ) ) )
' |____| .__|_| |_|_| |_\__, | / / / /
=========|_|==============|___/=/_/_/_/
:: Spring Boot :: (v2.1.12.RELEASE)
2022-03-25 00:30:05.665 INFO 10 --- [ main] org.eclipse.jetty.util.log : Logging initialized @2960ms to org.eclipse.jetty.util.log.Slf4jLog
2022-03-25T00:30:05.665Z||main|||||INFO|org.eclipse.jetty.util.log||Logging initialized @2960ms to org.eclipse.jetty.util.log.Slf4jLog
2022-03-25 00:30:08.024 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
2022-03-25T00:30:08.024Z||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
2022-03-25 00:30:08.055 INFO 10 --- [ main] o.e.j.s.h.ContextHandler.application : Initializing Spring embedded WebApplicationContext
2022-03-25T00:30:08.055Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring embedded WebApplicationContext
2022-03-25 00:30:08.276 INFO 10 --- [ main] org.eclipse.jetty.server.session : DefaultSessionIdManager workerName=node0
2022-03-25 00:30:08.276 INFO 10 --- [ main] org.eclipse.jetty.server.session : No SessionScavenger set, using defaults
2022-03-25T00:30:08.276Z||main|||||INFO|org.eclipse.jetty.server.session||DefaultSessionIdManager workerName=node0
2022-03-25T00:30:08.276Z||main|||||INFO|org.eclipse.jetty.server.session||No SessionScavenger set, using defaults
2022-03-25 00:30:08.278 INFO 10 --- [ main] org.eclipse.jetty.server.session : node0 Scavenging every 600000ms
2022-03-25T00:30:08.278Z||main|||||INFO|org.eclipse.jetty.server.session||node0 Scavenging every 600000ms
2022-03-25 00:30:08.284 INFO 10 --- [ main] o.e.jetty.server.handler.ContextHandler : Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@5f2afe62{application,/services/babel-service,[file:///tmp/jetty-docbase.13322538006456525546.9516/],AVAILABLE}
2022-03-25T00:30:08.284Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler||Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@5f2afe62{application,/services/babel-service,[file:///tmp/jetty-docbase.13322538006456525546.9516/],AVAILABLE}
2022-03-25 00:30:08.285 INFO 10 --- [ main] org.eclipse.jetty.server.Server : Started @5582ms
2022-03-25T00:30:08.285Z||main|||||INFO|org.eclipse.jetty.server.Server||Started @5582ms
2022-03-25 00:30:09.550 INFO 10 --- [ main] o.e.j.s.h.ContextHandler.application : Initializing Spring DispatcherServlet 'dispatcherServlet'
2022-03-25T00:30:09.550Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring DispatcherServlet 'dispatcherServlet'
2022-03-25 00:30:09.793 INFO 10 --- [ main] o.e.jetty.util.ssl.SslContextFactory : x509=X509@859ea42(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@28737371[provider=null,keyStore=file:///opt/app/osaaf/local/org.onap.aai.p12,trustStore=file:///opt/app/osaaf/local/org.onap.aai.trust.jks]
2022-03-25T00:30:09.793Z||main|AAI-BAS||||INFO|org.eclipse.jetty.util.ssl.SslContextFactory||x509=X509@859ea42(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@28737371[provider=null,keyStore=file:///opt/app/osaaf/local/org.onap.aai.p12,trustStore=file:///opt/app/osaaf/local/org.onap.aai.trust.jks]
2022-03-25 00:30:09.965 INFO 10 --- [ main] o.e.jetty.server.AbstractConnector : Started ServerConnector@2bffa76d{SSL,[ssl, http/1.1]}{0.0.0.0:9516}
2022-03-25T00:30:09.965Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.AbstractConnector||Started ServerConnector@2bffa76d{SSL,[ssl, http/1.1]}{0.0.0.0:9516}
2022-03-25T02:01:43.532Z|[5fd9bca8-81e6-4d64-bf63-156d0e570a95]|qtp1353759820-29|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=[[5fd9bca8-81e6-4d64-bf63-156d0e570a95]], Content-Length=[95513], 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2022-03-25T02:01:43.543Z|[5fd9bca8-81e6-4d64-bf63-156d0e570a95]|qtp1353759820-29|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=[5fd9bca8-81e6-4d64-bf63-156d0e570a95]]
2022-03-25T02:01:43.544Z|[5fd9bca8-81e6-4d64-bf63-156d0e570a95]|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned 9c0b2062-5d76-4f54-af1f-49641c27ef28
2022-03-25T02:01:43.565Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:43.574Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-BasicOnboardMdufqe-csar.csar
2022-03-25T02:01:43.640Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicOnboardMdufqe-template.yml
2022-03-25T02:01:43.646Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicOnboardMdufqe-template-interface.yml
2022-03-25T02:01:43.647Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:43.649Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardMdufqeNodesUbuntu18cvfc-template.yml
2022-03-25T02:01:43.652Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardMdufqeNodesUbuntu18cvfc-template-interface.yml
2022-03-25T02:01:43.656Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:43.658Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasiconboardmdufqeComputeNodesHeatUbuntu18-template.yml
2022-03-25T02:01:43.659Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardMdufqe-template.yml
2022-03-25T02:01:43.660Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardMdufqe-template-interface.yml
2022-03-25T02:01:43.663Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:43.667Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:43.668Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:43.669Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:43.669Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:43.670Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:43.671Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:43.671Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:43.673Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:43.674Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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.BasicOnboardMdufqe_v1.0/Deployment/HEAT/base_ubuntu18.yaml
2022-03-25T02:01:43.678Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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.
2022-03-25 02:01:43.980 INFO 10 --- [tp1353759820-29] org.reflections.Reflections : Reflections took 13 ms to scan 1 urls, producing 4 keys and 4 values
2022-03-25T02:01:43.980Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 13 ms to scan 1 urls, producing 4 keys and 4 values
2022-03-25 02:01:44.165 INFO 10 --- [tp1353759820-29] org.reflections.Reflections : Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2022-03-25T02:01:44.165Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_name" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_order" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network_role" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_related_networks" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_subnetpoolid" is not provided
2022-03-25 02:01:46.157 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-03-25 02:01:46.158 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp14879851323807323594.csar
2022-03-25T02:01:46.157Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-03-25 02:01:46.158 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 9 Parsing Warnings occurred...
2022-03-25T02:01:46.158Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp14879851323807323594.csar
2022-03-25 02:01:46.158 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_MdUfQe 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp14879851323807323594.csar
2022-03-25T02:01:46.158Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 9 Parsing Warnings occurred...
2022-03-25T02:01:46.158Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_MdUfQe 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp14879851323807323594.csar
2022-03-25 02:01:46.158 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [port_ubuntu18_admin_plane_port_0_name, port_ubuntu18_admin_plane_port_0_order, port_ubuntu18_admin_plane_port_0_vlan_requirements, nfc_function, port_ubuntu18_admin_plane_port_0_network_role, port_ubuntu18_admin_plane_port_0_related_networks, port_ubuntu18_admin_plane_port_0_subnetpoolid]. CSAR name - /tmp/temp14879851323807323594.csar
2022-03-25T02:01:46.158Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [port_ubuntu18_admin_plane_port_0_name, port_ubuntu18_admin_plane_port_0_order, port_ubuntu18_admin_plane_port_0_vlan_requirements, nfc_function, port_ubuntu18_admin_plane_port_0_network_role, port_ubuntu18_admin_plane_port_0_related_networks, port_ubuntu18_admin_plane_port_0_subnetpoolid]. CSAR name - /tmp/temp14879851323807323594.csar
2022-03-25 02:01:46.159 WARN 10 --- [tp1353759820-29] 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/temp14879851323807323594.csar
2022-03-25 02:01:46.159 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[assingment_method, supplemental_data]". CSAR name - /tmp/temp14879851323807323594.csar
2022-03-25T02:01:46.159Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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/temp14879851323807323594.csar
2022-03-25T02:01:46.159Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[assingment_method, supplemental_data]". CSAR name - /tmp/temp14879851323807323594.csar
2022-03-25 02:01:46.159 WARN 10 --- [tp1353759820-29] 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/temp14879851323807323594.csar
2022-03-25 02:01:46.159 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE001]: TypeMismatchError: "[ubuntu18_admin_security_group]" is not a map. The type is "json". CSAR name - /tmp/temp14879851323807323594.csar
2022-03-25T02:01:46.159Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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/temp14879851323807323594.csar
2022-03-25T02:01:46.159Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE001]: TypeMismatchError: "[ubuntu18_admin_security_group]" is not a map. The type is "json". CSAR name - /tmp/temp14879851323807323594.csar
2022-03-25 02:01:46.159 WARN 10 --- [tp1353759820-29] 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/temp14879851323807323594.csar
2022-03-25 02:01:46.159 WARN 10 --- [tp1353759820-29] 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/temp14879851323807323594.csar
2022-03-25T02:01:46.159Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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/temp14879851323807323594.csar
2022-03-25T02:01:46.159Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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/temp14879851323807323594.csar
2022-03-25 02:01:46.160 WARN 10 --- [tp1353759820-29] 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/temp14879851323807323594.csar
2022-03-25 02:01:46.160 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-03-25T02:01:46.160Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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/temp14879851323807323594.csar
2022-03-25T02:01:46.160Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-03-25T02:01:46.579Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-03-25T02:01:46.621Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-03-25T02:01:46.636Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:46.637Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-03-25 02:01:46.640 INFO 10 --- [tp1353759820-29] org.reflections.Reflections : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2022-03-25T02:01:46.640Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_name" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_order" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network_role" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_related_networks" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_subnetpoolid" is not provided
2022-03-25 02:01:48.028 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-03-25 02:01:48.028 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp8250770187171452228.csar
2022-03-25 02:01:48.028 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 9 Parsing Warnings occurred...
2022-03-25 02:01:48.028 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_MdUfQe 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp8250770187171452228.csar
2022-03-25T02:01:48.028Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-03-25T02:01:48.028Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp8250770187171452228.csar
2022-03-25 02:01:48.028 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [port_ubuntu18_admin_plane_port_0_name, port_ubuntu18_admin_plane_port_0_order, port_ubuntu18_admin_plane_port_0_vlan_requirements, nfc_function, port_ubuntu18_admin_plane_port_0_network_role, port_ubuntu18_admin_plane_port_0_related_networks, port_ubuntu18_admin_plane_port_0_subnetpoolid]. CSAR name - /tmp/temp8250770187171452228.csar
2022-03-25T02:01:48.028Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 9 Parsing Warnings occurred...
2022-03-25T02:01:48.028Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_MdUfQe 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp8250770187171452228.csar
2022-03-25 02:01:48.029 WARN 10 --- [tp1353759820-29] 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/temp8250770187171452228.csar
2022-03-25T02:01:48.028Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [port_ubuntu18_admin_plane_port_0_name, port_ubuntu18_admin_plane_port_0_order, port_ubuntu18_admin_plane_port_0_vlan_requirements, nfc_function, port_ubuntu18_admin_plane_port_0_network_role, port_ubuntu18_admin_plane_port_0_related_networks, port_ubuntu18_admin_plane_port_0_subnetpoolid]. CSAR name - /tmp/temp8250770187171452228.csar
2022-03-25 02:01:48.029 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[assingment_method, supplemental_data]". CSAR name - /tmp/temp8250770187171452228.csar
2022-03-25 02:01:48.029 WARN 10 --- [tp1353759820-29] 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/temp8250770187171452228.csar
2022-03-25T02:01:48.029Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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/temp8250770187171452228.csar
2022-03-25 02:01:48.029 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE001]: TypeMismatchError: "[ubuntu18_admin_security_group]" is not a map. The type is "json". CSAR name - /tmp/temp8250770187171452228.csar
2022-03-25T02:01:48.029Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[assingment_method, supplemental_data]". CSAR name - /tmp/temp8250770187171452228.csar
2022-03-25 02:01:48.029 WARN 10 --- [tp1353759820-29] 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/temp8250770187171452228.csar
2022-03-25T02:01:48.029Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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/temp8250770187171452228.csar
2022-03-25 02:01:48.029 WARN 10 --- [tp1353759820-29] 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/temp8250770187171452228.csar
2022-03-25T02:01:48.029Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE001]: TypeMismatchError: "[ubuntu18_admin_security_group]" is not a map. The type is "json". CSAR name - /tmp/temp8250770187171452228.csar
2022-03-25T02:01:48.029Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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/temp8250770187171452228.csar
2022-03-25 02:01:48.029 WARN 10 --- [tp1353759820-29] 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/temp8250770187171452228.csar
2022-03-25T02:01:48.029Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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/temp8250770187171452228.csar
2022-03-25 02:01:48.029 WARN 10 --- [tp1353759820-29] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-03-25T02:01:48.029Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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/temp8250770187171452228.csar
2022-03-25T02:01:48.029Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-03-25T02:01:48.031Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-03-25T02:01:48.040Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|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
2022-03-25T02:01:48.048Z|9c0b2062-5d76-4f54-af1f-49641c27ef28|qtp1353759820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-basic_onboard_MdUfQe-service-1.0.xml","type":"MODEL","payload":"\n 549d266f-23c3-46c6-890b-fe82320b6006 \n service \n Network Service \n \n \n b0b2e479-cd52-4cda-a283-31913a23340d \n basic_onboard_MdUfQe \n 1.0 \n service \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 49b7cafc-3857-4a23-a136-6f01afbfd0e3 \n \n \n model.model-invariant-id \n 461c101c-b4e2-4c93-a0a1-31e89e48d7d8 \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-BasicOnboardMdufqe..base_ubuntu18..module-0-resource-1.xml","type":"MODEL","payload":"\n b6d3c756-bdb8-454d-bb13-8dc858369bd2 \n resource \n \n \n 977e215d-ae77-4cee-9d7d-223da614280b \n BasicOnboardMdufqe..base_ubuntu18..module-0 \n 1 \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n f6a038c2-820c-42ba-8c2b-375e24e8f932 \n \n \n model.model-invariant-id \n 3f4c7204-739b-4bbb-87a7-8a6856439c90 \n \n \n \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n abcc54bc-bb74-49dc-9043-7f7171707545 \n \n \n model.model-invariant-id \n 97c26c99-6870-44c1-8a07-1d900d3f4ce6 \n \n \n \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 36200fb5-f251-4f5d-a520-7c5ad5c2cd4b \n \n \n model.model-invariant-id \n bace8d1c-a261-4041-9e37-823117415d0f \n \n \n \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 5761e0a7-c6df-4d8a-9ebd-b8f445054dec \n \n \n model.model-invariant-id \n 96129eb9-f0de-4e05-8af2-73146473f766 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 8ecb2c5d-7176-4317-a255-26274edfdd53 \n \n \n model.model-invariant-id \n ff69d4e0-a8e8-4108-bdb0-dd63217e63c7 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n c00563ae-812b-4e62-8330-7c4d0f47088a \n \n \n model.model-invariant-id \n ef86f9c5-2165-44f3-8fc3-96018b609ea5 \n \n \n \n \n \n \n \n "},{"name":"AAI-basic_onboard_MdUfQe-resource-1.0.xml","type":"MODEL","payload":"\n 461c101c-b4e2-4c93-a0a1-31e89e48d7d8 \n resource \n \n \n 49b7cafc-3857-4a23-a136-6f01afbfd0e3 \n basic_onboard_MdUfQe \n 1.0 \n VF \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 977e215d-ae77-4cee-9d7d-223da614280b \n \n \n model.model-invariant-id \n b6d3c756-bdb8-454d-bb13-8dc858369bd2 \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 "}]
2022-03-25T02:10:37.760Z|[576edf59-695f-4355-ab32-fdf3f89793a0]|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], User-Agent=[Java/11.0.9], Connection=[keep-alive], Host=[aai-babel.onap:9516], X-TransactionId=[[576edf59-695f-4355-ab32-fdf3f89793a0]], Content-Length=[70103], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicNetwork-csar.csar","csar":"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2022-03-25T02:10:37.761Z|[576edf59-695f-4355-ab32-fdf3f89793a0]|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: RequestHeaders [requestId=null, instanceId=null, transactionId=[576edf59-695f-4355-ab32-fdf3f89793a0]]
2022-03-25T02:10:37.761Z|[576edf59-695f-4355-ab32-fdf3f89793a0]|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned e2038525-0946-4738-bd35-8779a7bd0674
2022-03-25T02:10:37.765Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: Starting to process csarArchive to convert contents to XML artifacts
2022-03-25T02:10:37.765Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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
2022-03-25T02:10:37.766Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicNetwork-template.yml
2022-03-25T02:10:37.766Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicNetwork-template-interface.yml
2022-03-25T02:10:37.767Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-GenericNeutronnet-template.yml
2022-03-25T02:10:37.767Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Extvl-template.yml
2022-03-25T02:10:37.768Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/data.yml
2022-03-25T02:10:37.769Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/groups.yml
2022-03-25T02:10:37.770Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/policies.yml
2022-03-25T02:10:37.770Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/annotations.yml
2022-03-25T02:10:37.770Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/relationships.yml
2022-03-25T02:10:37.771Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/artifacts.yml
2022-03-25T02:10:37.771Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/capabilities.yml
2022-03-25T02:10:37.772Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/interfaces.yml
2022-03-25T02:10:37.773Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/nodes.yml
2022-03-25T02:10:37.774Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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.
2022-03-25 02:10:37.778 INFO 10 --- [tp1353759820-27] org.reflections.Reflections : Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2022-03-25T02:10:37.778Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2022-03-25 02:10:38.255 WARN 10 --- [tp1353759820-27] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-03-25T02:10:38.255Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-03-25 02:10:38.256 WARN 10 --- [tp1353759820-27] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp7405260944942249042.csar
2022-03-25T02:10:38.256Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp7405260944942249042.csar
2022-03-25 02:10:38.256 WARN 10 --- [tp1353759820-27] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-03-25T02:10:38.256Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-03-25 02:10:38.256 WARN 10 --- [tp1353759820-27] 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/temp7405260944942249042.csar
2022-03-25T02:10:38.256Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp7405260944942249042.csar
2022-03-25 02:10:38.256 WARN 10 --- [tp1353759820-27] 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/temp7405260944942249042.csar
2022-03-25T02:10:38.256Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp7405260944942249042.csar
2022-03-25 02:10:38.256 WARN 10 --- [tp1353759820-27] 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/temp7405260944942249042.csar
2022-03-25T02:10:38.256Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp7405260944942249042.csar
2022-03-25 02:10:38.256 WARN 10 --- [tp1353759820-27] 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/temp7405260944942249042.csar
2022-03-25T02:10:38.256Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp7405260944942249042.csar
2022-03-25 02:10:38.257 WARN 10 --- [tp1353759820-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp7405260944942249042.csar
2022-03-25T02:10:38.257Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp7405260944942249042.csar
2022-03-25 02:10:38.257 WARN 10 --- [tp1353759820-27] 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/temp7405260944942249042.csar
2022-03-25T02:10:38.257Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp7405260944942249042.csar
2022-03-25 02:10:38.257 WARN 10 --- [tp1353759820-27] 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/temp7405260944942249042.csar
2022-03-25T02:10:38.257Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp7405260944942249042.csar
2022-03-25 02:10:38.257 WARN 10 --- [tp1353759820-27] 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/temp7405260944942249042.csar
2022-03-25T02:10:38.257Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp7405260944942249042.csar
2022-03-25 02:10:38.257 WARN 10 --- [tp1353759820-27] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-03-25T02:10:38.257Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-03-25T02:10:38.269Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-03-25T02:10:38.279Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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
2022-03-25T02:10:38.279Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-03-25 02:10:38.281 INFO 10 --- [tp1353759820-27] org.reflections.Reflections : Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2022-03-25T02:10:38.281Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2022-03-25 02:10:38.760 WARN 10 --- [tp1353759820-27] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-03-25T02:10:38.760Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-03-25 02:10:38.760 WARN 10 --- [tp1353759820-27] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp8070422946931482736.csar
2022-03-25T02:10:38.760Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp8070422946931482736.csar
2022-03-25 02:10:38.760 WARN 10 --- [tp1353759820-27] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-03-25T02:10:38.760Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-03-25 02:10:38.760 WARN 10 --- [tp1353759820-27] 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/temp8070422946931482736.csar
2022-03-25T02:10:38.760Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp8070422946931482736.csar
2022-03-25 02:10:38.760 WARN 10 --- [tp1353759820-27] 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/temp8070422946931482736.csar
2022-03-25T02:10:38.760Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp8070422946931482736.csar
2022-03-25 02:10:38.761 WARN 10 --- [tp1353759820-27] 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/temp8070422946931482736.csar
2022-03-25T02:10:38.761Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp8070422946931482736.csar
2022-03-25 02:10:38.761 WARN 10 --- [tp1353759820-27] 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/temp8070422946931482736.csar
2022-03-25T02:10:38.761Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp8070422946931482736.csar
2022-03-25 02:10:38.761 WARN 10 --- [tp1353759820-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp8070422946931482736.csar
2022-03-25T02:10:38.761Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp8070422946931482736.csar
2022-03-25 02:10:38.761 WARN 10 --- [tp1353759820-27] 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/temp8070422946931482736.csar
2022-03-25T02:10:38.761Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp8070422946931482736.csar
2022-03-25 02:10:38.761 WARN 10 --- [tp1353759820-27] 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/temp8070422946931482736.csar
2022-03-25T02:10:38.761Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp8070422946931482736.csar
2022-03-25 02:10:38.761 WARN 10 --- [tp1353759820-27] 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/temp8070422946931482736.csar
2022-03-25T02:10:38.761Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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/temp8070422946931482736.csar
2022-03-25 02:10:38.761 WARN 10 --- [tp1353759820-27] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-03-25T02:10:38.761Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-03-25T02:10:38.762Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-03-25T02:10:38.763Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0001I Distribution event: org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts
2022-03-25T02:10:38.764Z|e2038525-0946-4738-bd35-8779a7bd0674|qtp1353759820-27|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 704be89c-c13e-4fcc-aa79-846a4f2ddf71 \n service \n Network Service \n \n \n 1e485b7d-b32c-48a2-9ff3-0f78f62e26b5 \n basic_network \n 1.0 \n service \n \n \n T \n unbounded \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 2b45b97f-5788-4265-ab5c-b6d6307178d5 \n \n \n model.model-invariant-id \n a7de4f2a-6f42-44ea-9d67-35dc213a4942 \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 a7de4f2a-6f42-44ea-9d67-35dc213a4942 \n resource \n \n \n 2b45b97f-5788-4265-ab5c-b6d6307178d5 \n Generic NeutronNet \n 1.0 \n Generic NeutronNet \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 9111f20f-e680-4001-b83f-19a2fc23bfc1 \n \n \n model.model-invariant-id \n 3d560d81-57d0-438b-a2a1-5334dba0651a \n \n \n \n \n \n \n \n "}]
2022-03-25T02:18:44.838Z|[3f6d457b-a217-4a9d-8e1f-6f3310b7fbde]|qtp1353759820-28|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=[[3f6d457b-a217-4a9d-8e1f-6f3310b7fbde]], Content-Length=[92031], 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2022-03-25T02:18:44.838Z|[3f6d457b-a217-4a9d-8e1f-6f3310b7fbde]|qtp1353759820-28|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=[3f6d457b-a217-4a9d-8e1f-6f3310b7fbde]]
2022-03-25T02:18:44.839Z|[3f6d457b-a217-4a9d-8e1f-6f3310b7fbde]|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned 6783f2e6-b58b-40f6-9173-b9e074b6247d
2022-03-25T02:18:44.843Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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
2022-03-25T02:18:44.843Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-BasicCnf-csar.csar
2022-03-25T02:18:44.845Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicCnf-template.yml
2022-03-25T02:18:44.845Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicCnf-template-interface.yml
2022-03-25T02:18:44.846Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasiccnfComputeNodesHeatDummy-template.yml
2022-03-25T02:18:44.846Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicCnf-template.yml
2022-03-25T02:18:44.847Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicCnf-template-interface.yml
2022-03-25T02:18:44.847Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicCnfNodesDummycvfc-template.yml
2022-03-25T02:18:44.848Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicCnfNodesDummycvfc-template-interface.yml
2022-03-25T02:18:44.849Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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
2022-03-25T02:18:44.850Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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
2022-03-25T02:18:44.850Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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
2022-03-25T02:18:44.851Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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
2022-03-25T02:18:44.851Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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
2022-03-25T02:18:44.852Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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
2022-03-25T02:18:44.852Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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
2022-03-25T02:18:44.852Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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
2022-03-25T02:18:44.853Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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
2022-03-25T02:18:44.855Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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.BasicCnf_v1.0/Deployment/HEAT/base_dummy.yaml
2022-03-25T02:18:44.855Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#generateArtifacts|BABEL0001I Distribution event: Generating XML for 17 CSAR artifacts.
2022-03-25 02:18:44.859 INFO 10 --- [tp1353759820-28] org.reflections.Reflections : Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2022-03-25T02:18:44.859Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2022-03-25 02:18:46.019 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-03-25 02:18:46.020 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp10884116770074287177.csar
2022-03-25 02:18:46.020 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 4 Parsing Warnings occurred...
2022-03-25 02:18:46.020 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [nfc_function]. CSAR name - /tmp/temp10884116770074287177.csar
2022-03-25 02:18:46.020 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [unit, type]. CSAR name - /tmp/temp10884116770074287177.csar
2022-03-25T02:18:46.019Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-03-25 02:18:46.020 WARN 10 --- [tp1353759820-28] 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/temp10884116770074287177.csar
2022-03-25 02:18:46.020 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_cnf 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp10884116770074287177.csar
2022-03-25 02:18:46.020 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-03-25T02:18:46.020Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp10884116770074287177.csar
2022-03-25T02:18:46.020Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 4 Parsing Warnings occurred...
2022-03-25T02:18:46.020Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [nfc_function]. CSAR name - /tmp/temp10884116770074287177.csar
2022-03-25T02:18:46.020Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [unit, type]. CSAR name - /tmp/temp10884116770074287177.csar
2022-03-25T02:18:46.020Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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/temp10884116770074287177.csar
2022-03-25T02:18:46.020Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_cnf 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp10884116770074287177.csar
2022-03-25T02:18:46.020Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-03-25T02:18:46.030Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-03-25T02:18:46.039Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-03-25T02:18:46.049Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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
2022-03-25T02:18:46.050Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-03-25 02:18:46.051 INFO 10 --- [tp1353759820-28] org.reflections.Reflections : Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2022-03-25T02:18:46.051Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2022-03-25 02:18:47.197 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-03-25 02:18:47.197 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp1214645841705770224.csar
2022-03-25 02:18:47.197 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 4 Parsing Warnings occurred...
2022-03-25 02:18:47.197 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [nfc_function]. CSAR name - /tmp/temp1214645841705770224.csar
2022-03-25 02:18:47.197 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [unit, type]. CSAR name - /tmp/temp1214645841705770224.csar
2022-03-25 02:18:47.197 WARN 10 --- [tp1353759820-28] 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/temp1214645841705770224.csar
2022-03-25 02:18:47.197 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_cnf 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp1214645841705770224.csar
2022-03-25 02:18:47.197 WARN 10 --- [tp1353759820-28] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-03-25T02:18:47.197Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-03-25T02:18:47.197Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp1214645841705770224.csar
2022-03-25T02:18:47.197Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 4 Parsing Warnings occurred...
2022-03-25T02:18:47.197Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [nfc_function]. CSAR name - /tmp/temp1214645841705770224.csar
2022-03-25T02:18:47.197Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [unit, type]. CSAR name - /tmp/temp1214645841705770224.csar
2022-03-25T02:18:47.197Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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/temp1214645841705770224.csar
2022-03-25T02:18:47.197Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_cnf 0" are missing field(s): [nf_naming_code, nf_function, sdnc_artifact_name, max_instances, nf_type, sdnc_model_version, nf_role, min_instances, sdnc_model_name]. CSAR name - /tmp/temp1214645841705770224.csar
2022-03-25T02:18:47.197Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-03-25T02:18:47.198Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-03-25T02:18:47.199Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|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
2022-03-25T02:18:47.200Z|6783f2e6-b58b-40f6-9173-b9e074b6247d|qtp1353759820-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-basic_cnf-service-1.0.xml","type":"MODEL","payload":"\n 5957d8bf-9aab-465f-9ccf-2011c0e4ce58 \n service \n Network Service \n \n \n 77f8c36d-06eb-4719-adb9-1b2ad3d303ef \n basic_cnf \n 1.0 \n service \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 12c49a28-73bb-4bf9-8f03-7518f5e671a0 \n \n \n model.model-invariant-id \n 1efc85be-0c7a-43d7-8d21-fe162dd9c832 \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-BasicCnf..base_dummy..module-0-resource-1.xml","type":"MODEL","payload":"\n 7ff16393-283a-4663-b3ba-3a13f190d681 \n resource \n \n \n 2f0539ba-3f67-4a8e-8722-bbbc67830316 \n BasicCnf..base_dummy..module-0 \n 1 \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n f6a038c2-820c-42ba-8c2b-375e24e8f932 \n \n \n model.model-invariant-id \n 3f4c7204-739b-4bbb-87a7-8a6856439c90 \n \n \n \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n abcc54bc-bb74-49dc-9043-7f7171707545 \n \n \n model.model-invariant-id \n 97c26c99-6870-44c1-8a07-1d900d3f4ce6 \n \n \n \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 36200fb5-f251-4f5d-a520-7c5ad5c2cd4b \n \n \n model.model-invariant-id \n bace8d1c-a261-4041-9e37-823117415d0f \n \n \n \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 5761e0a7-c6df-4d8a-9ebd-b8f445054dec \n \n \n model.model-invariant-id \n 96129eb9-f0de-4e05-8af2-73146473f766 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 8ecb2c5d-7176-4317-a255-26274edfdd53 \n \n \n model.model-invariant-id \n ff69d4e0-a8e8-4108-bdb0-dd63217e63c7 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n c00563ae-812b-4e62-8330-7c4d0f47088a \n \n \n model.model-invariant-id \n ef86f9c5-2165-44f3-8fc3-96018b609ea5 \n \n \n \n \n \n \n \n "},{"name":"AAI-basic_cnf-resource-1.0.xml","type":"MODEL","payload":"\n 1efc85be-0c7a-43d7-8d21-fe162dd9c832 \n resource \n \n \n 12c49a28-73bb-4bf9-8f03-7518f5e671a0 \n basic_cnf \n 1.0 \n VF \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 2f0539ba-3f67-4a8e-8722-bbbc67830316 \n \n \n model.model-invariant-id \n 7ff16393-283a-4663-b3ba-3a13f190d681 \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 "}]
2022-03-25T02:32:16.137Z|[8d0a9872-59d8-4794-9145-ede7237cd30f]|qtp1353759820-31|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=[[8d0a9872-59d8-4794-9145-ede7237cd30f]], Content-Length=[140971], 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