03:33:06,358 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could NOT find resource [logback-test.xml]
03:33:06,359 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could NOT find resource [logback.groovy]
03:33:06,360 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Found resource [logback.xml] at [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/classes!/logback.xml]
03:33:06,428 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/classes!/logback.xml] is not of type file
03:33:06,671 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Will scan for changes in [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/classes!/logback.xml]
03:33:06,671 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
03:33:06,680 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] to configuration watch list.
03:33:06,680 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] is not of type file
03:33:06,683 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] to configuration watch list.
03:33:06,684 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] is not of type file
03:33:06,687 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
03:33:06,687 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
03:33:06,687 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
03:33:06,693 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
03:33:06,693 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
03:33:06,693 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
03:33:06,693 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
03:33:06,693 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
03:33:06,693 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
03:33:06,693 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
03:33:06,695 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] to configuration watch list.
03:33:06,695 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] is not of type file
03:33:06,718 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
03:33:06,724 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
03:33:06,733 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:06,774 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] to configuration watch list.
03:33:06,775 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@5d11346a - URL [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] is not of type file
03:33:06,777 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
03:33:06,782 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
03:33:06,783 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:06,820 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Archive files will be limited to [10 MB] each.
03:33:06,824 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Will use gz compression
03:33:06,826 |-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
03:33:06,829 |-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'.
03:33:06,829 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Roll-over at midnight.
03:33:06,837 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Setting initial period to Sat Apr 01 03:33:06 GMT 2023
03:33:06,842 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
03:33:06,843 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
03:33:06,844 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
03:33:06,845 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
03:33:06,846 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
03:33:06,846 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
03:33:06,846 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
03:33:06,848 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1979313356 - Will use zip compression
03:33:06,848 |-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
03:33:06,850 |-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'.
03:33:06,850 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
03:33:06,850 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sat Apr 01 03:33:06 GMT 2023
03:33:06,851 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:06,852 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
03:33:06,852 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
03:33:06,852 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
03:33:06,854 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
03:33:06,857 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
03:33:06,857 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
03:33:06,859 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
03:33:06,860 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
03:33:06,860 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
03:33:06,861 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1975546571 - Will use zip compression
03:33:06,861 |-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
03:33:06,862 |-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'.
03:33:06,862 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
03:33:06,863 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sat Apr 01 03:33:06 GMT 2023
03:33:06,863 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:06,867 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
03:33:06,867 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
03:33:06,867 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
03:33:06,868 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
03:33:06,868 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
03:33:06,868 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
03:33:06,868 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
03:33:06,869 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
03:33:06,869 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
03:33:06,870 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1526298704 - Will use zip compression
03:33:06,870 |-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
03:33:06,871 |-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'.
03:33:06,871 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
03:33:06,871 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sat Apr 01 03:33:06 GMT 2023
03:33:06,872 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:06,873 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
03:33:06,873 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
03:33:06,873 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
03:33:06,873 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
03:33:06,873 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
03:33:06,873 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
03:33:06,873 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
03:33:06,874 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
03:33:06,874 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
03:33:06,875 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1593180232 - Will use zip compression
03:33:06,875 |-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
03:33:06,876 |-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'.
03:33:06,876 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
03:33:06,877 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sat Apr 01 03:33:06 GMT 2023
03:33:06,877 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:06,878 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
03:33:06,878 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
03:33:06,878 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
03:33:06,878 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
03:33:06,881 |-INFO in ch.qos.logback.classic.boolex.GEventEvaluator@48524010 - Expression to evaluate [e.level.toInt() < INFO.toInt()]
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.codehaus.groovy.reflection.CachedClass (jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/groovy-2.5.15.jar!/) to method java.lang.Object.finalize()
WARNING: Please consider reporting this to the maintainers of org.codehaus.groovy.reflection.CachedClass
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
03:33:07,732 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
03:33:07,732 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
03:33:07,732 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
03:33:07,733 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
03:33:07,733 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
03:33:07,733 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
03:33:07,733 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
03:33:07,733 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
03:33:07,733 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
03:33:07,733 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
03:33:07,733 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
03:33:07,733 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
03:33:07,733 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
03:33:07,733 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
03:33:07,733 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
03:33:07,733 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
03:33:07,733 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
03:33:07,733 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
03:33:07,734 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
03:33:07,735 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
03:33:07,735 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
03:33:07,735 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
03:33:07,737 |-INFO in ch.qos.logback.classic.joran.JoranConfigurator@6bbe85a8 - Registering current configuration as safe fallback point
03:33:08,535 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting.
03:33:08,538 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
03:33:08,539 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting.
03:33:08,540 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
03:33:08,540 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting.
03:33:08,542 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
03:33:08,542 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting.
03:33:08,544 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
03:33:08,535 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting.
03:33:08,538 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
03:33:08,539 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting.
03:33:08,540 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
03:33:08,540 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting.
03:33:08,542 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
03:33:08,542 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting.
03:33:08,544 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
03:33:08,564 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Will scan for changes in [file:/opt/app/babel/config/logback.xml]
03:33:08,564 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
03:33:08,565 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] to configuration watch list.
03:33:08,565 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@19e7a160 - URL [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] is not of type file
03:33:08,567 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] to configuration watch list.
03:33:08,568 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@19e7a160 - URL [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] is not of type file
03:33:08,570 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
03:33:08,570 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
03:33:08,570 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
03:33:08,570 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
03:33:08,570 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating ERROR level on Logger[org.apache.catalina.startup.DigesterFactory] onto the JUL framework
03:33:08,571 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
03:33:08,571 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating ERROR level on Logger[org.apache.catalina.util.LifecycleBase] onto the JUL framework
03:33:08,571 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
03:33:08,571 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.apache.coyote.http11.Http11NioProtocol] onto the JUL framework
03:33:08,572 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
03:33:08,572 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.apache.sshd.common.util.SecurityUtils] onto the JUL framework
03:33:08,572 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
03:33:08,572 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.apache.tomcat.util.net.NioSelectorPool] onto the JUL framework
03:33:08,572 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
03:33:08,572 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating ERROR level on Logger[org.eclipse.jetty.util.component.AbstractLifeCycle] onto the JUL framework
03:33:08,572 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
03:33:08,572 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.hibernate.validator.internal.util.Version] onto the JUL framework
03:33:08,573 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] to configuration watch list.
03:33:08,573 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@19e7a160 - URL [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] is not of type file
03:33:08,575 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
03:33:08,575 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
03:33:08,575 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:08,576 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] to configuration watch list.
03:33:08,576 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@19e7a160 - URL [jar:file:/opt/app/babel/babel-1.11.0.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] is not of type file
03:33:08,618 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
03:33:08,618 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
03:33:08,618 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:08,620 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1047478056 - Archive files will be limited to [10 MB] each.
03:33:08,620 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1047478056 - Will use gz compression
03:33:08,621 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1047478056 - Will use the pattern /tmp/spring.log.%d{yyyy-MM-dd}.%i for the active file
03:33:08,621 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@7357a011 - The date pattern is 'yyyy-MM-dd' from file name pattern '/tmp/spring.log.%d{yyyy-MM-dd}.%i.gz'.
03:33:08,622 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@7357a011 - Roll-over at midnight.
03:33:08,622 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@7357a011 - Setting initial period to Sat Apr 01 03:33:06 GMT 2023
03:33:08,622 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
03:33:08,622 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
03:33:08,623 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
03:33:08,634 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating INFO level on Logger[ROOT] onto the JUL framework
03:33:08,634 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
03:33:08,634 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
03:33:08,634 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
03:33:08,635 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
03:33:08,635 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@91323447 - Will use zip compression
03:33:08,636 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@91323447 - Will use the pattern /var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log for the active file
03:33:08,636 |-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'.
03:33:08,636 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
03:33:08,637 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sat Apr 01 03:33:06 GMT 2023
03:33:08,637 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:08,638 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
03:33:08,638 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
03:33:08,638 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
03:33:08,638 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
03:33:08,639 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
03:33:08,639 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
03:33:08,639 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
03:33:08,640 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
03:33:08,640 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
03:33:08,641 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@110053477 - Will use zip compression
03:33:08,641 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@110053477 - Will use the pattern /var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log for the active file
03:33:08,642 |-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'.
03:33:08,642 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
03:33:08,643 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sat Apr 01 03:33:06 GMT 2023
03:33:08,643 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:08,644 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
03:33:08,644 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
03:33:08,644 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
03:33:08,644 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
03:33:08,644 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
03:33:08,644 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
03:33:08,644 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
03:33:08,645 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
03:33:08,645 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
03:33:08,646 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1209411469 - Will use zip compression
03:33:08,646 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1209411469 - Will use the pattern /var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log for the active file
03:33:08,646 |-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'.
03:33:08,646 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
03:33:08,647 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sat Apr 01 03:33:06 GMT 2023
03:33:08,647 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:08,648 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
03:33:08,648 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
03:33:08,648 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
03:33:08,648 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
03:33:08,648 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
03:33:08,648 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
03:33:08,648 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
03:33:08,649 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
03:33:08,649 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
03:33:08,649 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1320105604 - Will use zip compression
03:33:08,650 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1320105604 - Will use the pattern /var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log for the active file
03:33:08,650 |-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'.
03:33:08,650 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
03:33:08,651 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Sat Apr 01 03:33:06 GMT 2023
03:33:08,651 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:08,651 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
03:33:08,651 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
03:33:08,652 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
03:33:08,652 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
03:33:08,652 |-INFO in ch.qos.logback.classic.boolex.GEventEvaluator@40317ba2 - Expression to evaluate [e.level.toInt() < INFO.toInt()]
03:33:08,762 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
03:33:08,762 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
03:33:08,762 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
03:33:08,763 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
03:33:08,763 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [STDOUT]
03:33:08,763 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
03:33:08,764 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
03:33:08,764 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [AsyncSysOut]
03:33:08,764 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [STDOUT] to ch.qos.logback.classic.AsyncAppender[AsyncSysOut]
03:33:08,764 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Attaching appender named [STDOUT] to AsyncAppender.
03:33:08,764 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Setting discardingThreshold to 51
03:33:08,767 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
03:33:08,767 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
03:33:08,767 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
03:33:08,767 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[ROOT]
03:33:08,767 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
03:33:08,767 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating INFO level on Logger[com.att.eelf] onto the JUL framework
03:33:08,767 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
03:33:08,767 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
03:33:08,767 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf]
03:33:08,767 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
03:33:08,767 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating INFO level on Logger[com.att.eelf.debug] onto the JUL framework
03:33:08,768 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
03:33:08,768 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
03:33:08,768 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.debug]
03:33:08,768 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
03:33:08,768 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating INFO level on Logger[com.att.eelf.audit] onto the JUL framework
03:33:08,768 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
03:33:08,768 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
03:33:08,768 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.audit]
03:33:08,768 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
03:33:08,768 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating INFO level on Logger[com.att.eelf.metrics] onto the JUL framework
03:33:08,768 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
03:33:08,768 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
03:33:08,768 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.metrics]
03:33:08,768 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
03:33:08,768 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating INFO level on Logger[com.att] onto the JUL framework
03:33:08,769 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
03:33:08,769 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.springframework] onto the JUL framework
03:33:08,769 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
03:33:08,769 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.springframework.beans] onto the JUL framework
03:33:08,769 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
03:33:08,769 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.springframework.web] onto the JUL framework
03:33:08,769 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
03:33:08,769 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.apache] onto the JUL framework
03:33:08,769 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
03:33:08,769 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.apache.commons] onto the JUL framework
03:33:08,769 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
03:33:08,769 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.apache.camel] onto the JUL framework
03:33:08,770 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
03:33:08,770 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.apache.cxf] onto the JUL framework
03:33:08,770 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
03:33:08,770 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.apache.camel.processor.interceptor] onto the JUL framework
03:33:08,771 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
03:33:08,771 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.apache.cxf.jaxrs.interceptor] onto the JUL framework
03:33:08,771 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
03:33:08,771 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.apache.cxf.service] onto the JUL framework
03:33:08,772 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
03:33:08,772 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.restlet] onto the JUL framework
03:33:08,773 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
03:33:08,773 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[org.apache.camel.component.restlet] onto the JUL framework
03:33:08,773 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
03:33:08,773 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[ch.qos.logback.classic] onto the JUL framework
03:33:08,773 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
03:33:08,773 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@662706a7 - Propagating WARN level on Logger[ch.qos.logback.core] onto the JUL framework
03:33:08,773 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
03:33:08,774 |-INFO in org.springframework.boot.logging.logback.SpringBootJoranConfigurator@6ee4d9ab - Registering current configuration as safe fallback point
. ____ _ __ _ _
/\\ / ___'_ __ _ _(_)_ __ __ _ \ \ \ \
( ( )\___ | '_ | '_| | '_ \/ _` | \ \ \ \
\\/ ___)| |_)| | | | | || (_| | ) ) ) )
' |____| .__|_| |_|_| |_\__, | / / / /
=========|_|==============|___/=/_/_/_/
:: Spring Boot :: (v2.1.12.RELEASE)
2023-04-01 03:33:09.230 INFO 1 --- [ main] org.eclipse.jetty.util.log : Logging initialized @3352ms to org.eclipse.jetty.util.log.Slf4jLog
2023-04-01T03:33:09.230Z||main|||||INFO|org.eclipse.jetty.util.log||Logging initialized @3352ms to org.eclipse.jetty.util.log.Slf4jLog
2023-04-01 03:33:11.882 INFO 1 --- [ 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
2023-04-01T03:33:11.882Z||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
2023-04-01 03:33:11.971 INFO 1 --- [ main] o.e.j.s.h.ContextHandler.application : Initializing Spring embedded WebApplicationContext
2023-04-01T03:33:11.971Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring embedded WebApplicationContext
2023-04-01 03:33:12.365 INFO 1 --- [ main] org.eclipse.jetty.server.session : DefaultSessionIdManager workerName=node0
2023-04-01 03:33:12.366 INFO 1 --- [ main] org.eclipse.jetty.server.session : No SessionScavenger set, using defaults
2023-04-01T03:33:12.365Z||main|||||INFO|org.eclipse.jetty.server.session||DefaultSessionIdManager workerName=node0
2023-04-01T03:33:12.366Z||main|||||INFO|org.eclipse.jetty.server.session||No SessionScavenger set, using defaults
2023-04-01 03:33:12.368 INFO 1 --- [ main] org.eclipse.jetty.server.session : node0 Scavenging every 600000ms
2023-04-01T03:33:12.368Z||main|||||INFO|org.eclipse.jetty.server.session||node0 Scavenging every 600000ms
2023-04-01 03:33:12.375 INFO 1 --- [ main] o.e.jetty.server.handler.ContextHandler : Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@81ff872{application,/services/babel-service,[file:///tmp/jetty-docbase.14988532644108287146.9516/],AVAILABLE}
2023-04-01T03:33:12.375Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler||Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@81ff872{application,/services/babel-service,[file:///tmp/jetty-docbase.14988532644108287146.9516/],AVAILABLE}
2023-04-01 03:33:12.376 INFO 1 --- [ main] org.eclipse.jetty.server.Server : Started @6507ms
2023-04-01T03:33:12.376Z||main|||||INFO|org.eclipse.jetty.server.Server||Started @6507ms
2023-04-01 03:33:13.889 INFO 1 --- [ main] o.e.j.s.h.ContextHandler.application : Initializing Spring DispatcherServlet 'dispatcherServlet'
2023-04-01T03:33:13.889Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring DispatcherServlet 'dispatcherServlet'
2023-04-01 03:33:13.947 INFO 1 --- [ main] o.e.jetty.server.AbstractConnector : Started ServerConnector@5a772895{HTTP/1.1,[http/1.1]}{0.0.0.0:9516}
2023-04-01T03:33:13.947Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.AbstractConnector||Started ServerConnector@5a772895{HTTP/1.1,[http/1.1]}{0.0.0.0:9516}
2023-04-01T11:31:42.408Z|[c810ae3e-8304-43ff-ab8a-0eec722f3a38]|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {x-request-id=[6ac429b2-1ac9-4fee-8dbe-2b96e964fb36], x-b3-parentspanid=[b06c696cc91f0bae], X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], x-b3-sampled=[0], User-Agent=[Java/11.0.9], X-Forwarded-Proto=[http], Host=[aai-babel.onap:9516], x-envoy-attempt-count=[1], x-b3-traceid=[0590a1764a67e901b06c696cc91f0bae], x-b3-spanid=[5f37f9ff2d6633ad], x-forwarded-client-cert=[By=spiffe://cluster.local/ns/onap/sa/onap-aai-babel-read;Hash=e21973fd199345acec3c6cbf8da7b581ba41fd8542925c356cae186403a39032;Subject="";URI=spiffe://cluster.local/ns/onap/sa/onap-aai-modelloader-read], X-TransactionId=[[c810ae3e-8304-43ff-ab8a-0eec722f3a38]], Content-Length=[135400], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-Vfw20230401113019-csar.csar","csar":"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"}
2023-04-01T11:31:42.433Z|[c810ae3e-8304-43ff-ab8a-0eec722f3a38]|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: RequestHeaders [requestId=null, instanceId=null, transactionId=[c810ae3e-8304-43ff-ab8a-0eec722f3a38]]
2023-04-01T11:31:42.441Z|[c810ae3e-8304-43ff-ab8a-0eec722f3a38]|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned fd051c73-de28-4d43-81b2-3e308e61e03d
2023-04-01T11:31:42.470Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: Starting to process csarArchive to convert contents to XML artifacts
2023-04-01T11:31:42.476Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-Vfw20230401113019-csar.csar
2023-04-01T11:31:42.547Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-Vfw20230401113019-template.yml
2023-04-01T11:31:42.555Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-Vfw20230401113019-template-interface.yml
2023-04-01T11:31:42.558Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-VfwF89713d9E6edNodesVpgcvfc-template.yml
2023-04-01T11:31:42.562Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-VfwF89713d9E6edNodesVpgcvfc-template-interface.yml
2023-04-01T11:31:42.564Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Globalnetwork-template.yml
2023-04-01T11:31:42.565Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Neutronport-template.yml
2023-04-01T11:31:42.565Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Vfwf89713d9e6edComputeNodesHeatVpg-template.yml
2023-04-01T11:31:42.566Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Vfwf89713d9e6edComputeNodesHeatVfw-template.yml
2023-04-01T11:31:42.566Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-VfwF89713d9E6edNodesVfwcvfc-template.yml
2023-04-01T11:31:42.568Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-VfwF89713d9E6edNodesVfwcvfc-template-interface.yml
2023-04-01T11:31:42.570Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Extneutroncp-template.yml
2023-04-01T11:31:42.571Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Vfwf89713d9e6edComputeNodesHeatVsn-template.yml
2023-04-01T11:31:42.571Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Network-template.yml
2023-04-01T11:31:42.572Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-VfwF89713d9E6edNodesVsncvfc-template.yml
2023-04-01T11:31:42.573Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-VfwF89713d9E6edNodesVsncvfc-template-interface.yml
2023-04-01T11:31:42.575Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Neutronnet-template.yml
2023-04-01T11:31:42.576Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-VfwF89713d9E6ed-template.yml
2023-04-01T11:31:42.577Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-VfwF89713d9E6ed-template-interface.yml
2023-04-01T11:31:42.580Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/data.yml
2023-04-01T11:31:42.584Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/groups.yml
2023-04-01T11:31:42.585Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/policies.yml
2023-04-01T11:31:42.592Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/annotations.yml
2023-04-01T11:31:42.593Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/relationships.yml
2023-04-01T11:31:42.594Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/artifacts.yml
2023-04-01T11:31:42.595Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/capabilities.yml
2023-04-01T11:31:42.597Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/interfaces.yml
2023-04-01T11:31:42.599Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/nodes.yml
2023-04-01T11:31:42.601Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Artifacts/org.openecomp.resource.vf.VfwF89713d9E6ed_v1.0/Deployment/HEAT/base_vfw.yaml
2023-04-01T11:31:42.618Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#generateArtifacts|BABEL0001I Distribution event: Generating XML for 28 CSAR artifacts.
2023-04-01 11:31:43.108 INFO 1 --- [tp1489831627-30] org.reflections.Reflections : Reflections took 20 ms to scan 1 urls, producing 4 keys and 4 values
2023-04-01T11:31:43.108Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 20 ms to scan 1 urls, producing 4 keys and 4 values
2023-04-01 11:31:43.344 INFO 1 --- [tp1489831627-30] org.reflections.Reflections : Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2023-04-01T11:31:43.344Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_related_networks" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_security_groups" is not provided
Log warning: The required parameter "compute_vfw_name" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_allowed_address_pairs" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_network_role" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_order" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_network" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_network_role" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_security_groups" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_order" is not provided
Log warning: The required parameter "compute_vfw_user_data_format" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_related_networks" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_network" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_security_groups" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_order" is not provided
Log warning: The required parameter "compute_vfw_key_name" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_network_role" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_related_networks" is not provided
Log warning: The required parameter "compute_vfw_metadata" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_network" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_security_groups" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_security_groups" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_network" is not provided
Log warning: The required parameter "compute_vsn_name" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_order" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "compute_vsn_key_name" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_network_role" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "compute_vsn_user_data_format" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_related_networks" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_related_networks" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_network_role" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_order" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "compute_vsn_metadata" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_network" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_network_role" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_network" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_order" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_related_networks" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_security_groups" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_network" is not provided
Log warning: The required parameter "compute_vpg_name" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "compute_vpg_user_data_format" is not provided
Log warning: The required parameter "compute_vpg_key_name" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_related_networks" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_security_groups" is not provided
Log warning: The required parameter "compute_vpg_metadata" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_order" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_network_role" is not provided
2023-04-01 11:31:46.840 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2023-04-01 11:31:46.840 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01T11:31:46.840Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2023-04-01T11:31:46.840Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01 11:31:46.840 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 11 Parsing Warnings occurred...
2023-04-01T11:31:46.840Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 11 Parsing Warnings occurred...
2023-04-01 11:31:46.841 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vsn" are missing field(s): [nfc_function]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01T11:31:46.841Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vsn" are missing field(s): [nfc_function]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01 11:31:46.841 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01T11:31:46.841Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01 11:31:46.841 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01T11:31:46.841Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01 11:31:46.841 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "vFW f89713d9-e6ed 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01T11:31:46.841Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "vFW f89713d9-e6ed 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01 11:31:46.841 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01T11:31:46.841Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01 11:31:46.842 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vfw" are missing field(s): [nfc_function]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01 11:31:46.842 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vpg" are missing field(s): [nfc_function]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01T11:31:46.842Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vfw" are missing field(s): [nfc_function]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01T11:31:46.842Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vpg" are missing field(s): [nfc_function]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01 11:31:46.842 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01T11:31:46.842Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01 11:31:46.842 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vsn" are missing field(s): [unit, type]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01T11:31:46.842Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vsn" are missing field(s): [unit, type]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01 11:31:46.842 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vfw" are missing field(s): [unit, type]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01T11:31:46.842Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vfw" are missing field(s): [unit, type]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01 11:31:46.843 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vpg" are missing field(s): [unit, type]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01 11:31:46.843 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2023-04-01T11:31:46.843Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vpg" are missing field(s): [unit, type]. CSAR name - /tmp/temp2099550574324834609.csar
2023-04-01T11:31:46.843Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2023-04-01T11:31:47.179Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2023-04-01T11:31:47.231Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2023-04-01T11:31:47.253Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: 3 XML artifact(s) have been generated
2023-04-01T11:31:47.256Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2023-04-01 11:31:47.263 INFO 1 --- [tp1489831627-30] org.reflections.Reflections : Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2023-04-01T11:31:47.263Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_related_networks" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_security_groups" is not provided
Log warning: The required parameter "compute_vfw_name" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_allowed_address_pairs" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_network_role" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_order" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_network" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_network_role" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_security_groups" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_order" is not provided
Log warning: The required parameter "compute_vfw_user_data_format" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_related_networks" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_network" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_security_groups" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_order" is not provided
Log warning: The required parameter "compute_vfw_key_name" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_network_role" is not provided
Log warning: The required parameter "port_vfw_int_unprotected_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vfw_int_protected_private_port_0_related_networks" is not provided
Log warning: The required parameter "compute_vfw_metadata" is not provided
Log warning: The required parameter "port_vfw_onap_private_port_0_network" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_security_groups" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_security_groups" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_network" is not provided
Log warning: The required parameter "compute_vsn_name" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_order" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "compute_vsn_key_name" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_network_role" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "compute_vsn_user_data_format" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_related_networks" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_related_networks" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_network_role" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vsn_int_protected_private_port_0_order" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "compute_vsn_metadata" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_network" is not provided
Log warning: The required parameter "port_vsn_onap_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_network_role" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_network" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_order" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_related_networks" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_security_groups" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_network" is not provided
Log warning: The required parameter "compute_vpg_name" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "compute_vpg_user_data_format" is not provided
Log warning: The required parameter "compute_vpg_key_name" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_related_networks" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_security_groups" is not provided
Log warning: The required parameter "compute_vpg_metadata" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_order" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_fixed_ips" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_vlan_requirements" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_network_role_tag" is not provided
Log warning: The required parameter "port_vpg_onap_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_vpg_int_unprotected_private_port_0_network_role" is not provided
2023-04-01 11:31:49.947 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2023-04-01 11:31:49.948 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01 11:31:49.948 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 11 Parsing Warnings occurred...
2023-04-01 11:31:49.948 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vsn" are missing field(s): [nfc_function]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.947Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2023-04-01 11:31:49.948 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.948Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.948Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 11 Parsing Warnings occurred...
2023-04-01 11:31:49.948 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.948Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vsn" are missing field(s): [nfc_function]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.948Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.948Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01 11:31:49.948 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "vFW f89713d9-e6ed 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01 11:31:49.948 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01 11:31:49.949 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vfw" are missing field(s): [nfc_function]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01 11:31:49.949 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vpg" are missing field(s): [nfc_function]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.948Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "vFW f89713d9-e6ed 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.948Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01 11:31:49.949 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.949Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vfw" are missing field(s): [nfc_function]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.949Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vpg" are missing field(s): [nfc_function]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.949Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01 11:31:49.949 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vsn" are missing field(s): [unit, type]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.949Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vsn" are missing field(s): [unit, type]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01 11:31:49.949 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vfw" are missing field(s): [unit, type]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01 11:31:49.949 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vpg" are missing field(s): [unit, type]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.949Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vfw" are missing field(s): [unit, type]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01 11:31:49.949 WARN 1 --- [tp1489831627-30] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2023-04-01T11:31:49.949Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_vpg" are missing field(s): [unit, type]. CSAR name - /tmp/temp9905096988891284186.csar
2023-04-01T11:31:49.949Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2023-04-01T11:31:49.951Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2023-04-01T11:31:49.963Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0001I Distribution event: org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts
2023-04-01T11:31:49.971Z|fd051c73-de28-4d43-81b2-3e308e61e03d|qtp1489831627-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-vFW 2023-04-01 11-30-19-service-1.0.xml","type":"MODEL","payload":"\n 51a4aa66-5fae-404a-8c6e-41770fabc15e\n service\n Network L1-3\n \n \n 2d3e0335-5474-4755-8938-2b1f51de8296\n vFW 2023-04-01 11-30-19\n 1.0\n catalog service description\n \n \n T\n unbounded\n \n \n T\n unbounded\n \n \n \n model-ver\n \n model-ver.model-version-id\n b22390e7-3f3d-4c47-a4d5-0a4e24467cf5\n \n \n model.model-invariant-id\n 03c9658d-2ae9-4eac-b912-bde72f7fe110\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-VfwF89713d9E6ed..base_vfw..module-0-resource-1.xml","type":"MODEL","payload":"\n 7152b0bd-9a32-4f2a-8d4e-2addf358ce9d\n resource\n \n \n dbf474ab-4e7f-4c46-8176-8510e013a659\n VfwF89713d9E6ed..base_vfw..module-0\n 1\n \n \n T\n unbounded\n \n \n T\n unbounded\n \n \n F\n unbounded\n \n \n \n model-ver\n \n model-ver.model-version-id\n f6a038c2-820c-42ba-8c2b-375e24e8f932\n \n \n model.model-invariant-id\n 3f4c7204-739b-4bbb-87a7-8a6856439c90\n \n \n \n \n \n F\n unbounded\n \n \n \n model-ver\n \n model-ver.model-version-id\n abcc54bc-bb74-49dc-9043-7f7171707545\n \n \n model.model-invariant-id\n 97c26c99-6870-44c1-8a07-1d900d3f4ce6\n \n \n \n \n \n F\n unbounded\n \n \n \n model-ver\n \n model-ver.model-version-id\n 36200fb5-f251-4f5d-a520-7c5ad5c2cd4b\n \n \n model.model-invariant-id\n bace8d1c-a261-4041-9e37-823117415d0f\n \n \n \n \n \n T\n unbounded\n \n \n \n model-ver\n \n model-ver.model-version-id\n 5761e0a7-c6df-4d8a-9ebd-b8f445054dec\n \n \n model.model-invariant-id\n 96129eb9-f0de-4e05-8af2-73146473f766\n \n \n \n \n \n \n \n model-ver\n \n model-ver.model-version-id\n 8ecb2c5d-7176-4317-a255-26274edfdd53\n \n \n model.model-invariant-id\n ff69d4e0-a8e8-4108-bdb0-dd63217e63c7\n \n \n \n \n \n T\n unbounded\n \n \n \n model-ver\n \n model-ver.model-version-id\n 9111f20f-e680-4001-b83f-19a2fc23bfc1\n \n \n model.model-invariant-id\n 3d560d81-57d0-438b-a2a1-5334dba0651a\n \n \n \n \n \n \n \n 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-vFW f89713d9-e6ed-resource-1.0.xml","type":"MODEL","payload":"\n 03c9658d-2ae9-4eac-b912-bde72f7fe110\n resource\n \n \n b22390e7-3f3d-4c47-a4d5-0a4e24467cf5\n vFW f89713d9-e6ed\n 1.0\n vendor software product\n \n \n T\n unbounded\n \n \n T\n unbounded\n \n \n \n model-ver\n \n model-ver.model-version-id\n dbf474ab-4e7f-4c46-8176-8510e013a659\n \n \n model.model-invariant-id\n 7152b0bd-9a32-4f2a-8d4e-2addf358ce9d\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"}]
2023-04-01T11:46:06.707Z|[91e13f3c-eeb0-4f17-82db-32a3a88bb9f6]|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {x-request-id=[16b054f5-3c2d-4010-8f37-acd972d83ebc], x-b3-parentspanid=[248129c544c3d1aa], X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], x-b3-sampled=[0], User-Agent=[Java/11.0.9], X-Forwarded-Proto=[http], Host=[aai-babel.onap:9516], x-envoy-attempt-count=[1], x-b3-traceid=[1139f10a01dfa39c248129c544c3d1aa], x-b3-spanid=[0932911404460d0e], x-forwarded-client-cert=[By=spiffe://cluster.local/ns/onap/sa/onap-aai-babel-read;Hash=e21973fd199345acec3c6cbf8da7b581ba41fd8542925c356cae186403a39032;Subject="";URI=spiffe://cluster.local/ns/onap/sa/onap-aai-modelloader-read], X-TransactionId=[[91e13f3c-eeb0-4f17-82db-32a3a88bb9f6]], Content-Length=[77127], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicNetwork-csar.csar","csar":"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"}
2023-04-01T11:46:06.710Z|[91e13f3c-eeb0-4f17-82db-32a3a88bb9f6]|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: RequestHeaders [requestId=null, instanceId=null, transactionId=[91e13f3c-eeb0-4f17-82db-32a3a88bb9f6]]
2023-04-01T11:46:06.712Z|[91e13f3c-eeb0-4f17-82db-32a3a88bb9f6]|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned 1ad4360f-51fa-4699-8c6e-b465b743a115
2023-04-01T11:46:06.721Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: Starting to process csarArchive to convert contents to XML artifacts
2023-04-01T11:46:06.721Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-BasicNetwork-csar.csar
2023-04-01T11:46:06.732Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicNetwork-template.yml
2023-04-01T11:46:06.734Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicNetwork-template-interface.yml
2023-04-01T11:46:06.735Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-GenericNeutronnet-template.yml
2023-04-01T11:46:06.737Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Extvl-template.yml
2023-04-01T11:46:06.741Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/data.yml
2023-04-01T11:46:06.746Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/groups.yml
2023-04-01T11:46:06.749Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/policies.yml
2023-04-01T11:46:06.752Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/annotations.yml
2023-04-01T11:46:06.754Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/relationships.yml
2023-04-01T11:46:06.756Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/artifacts.yml
2023-04-01T11:46:06.757Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/capabilities.yml
2023-04-01T11:46:06.758Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/interfaces.yml
2023-04-01T11:46:06.760Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/nodes.yml
2023-04-01T11:46:06.762Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#generateArtifacts|BABEL0001I Distribution event: Generating XML for 13 CSAR artifacts.
2023-04-01 11:46:06.768 INFO 1 --- [tp1489831627-31] org.reflections.Reflections : Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2023-04-01T11:46:06.768Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2023-04-01 11:46:07.316 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2023-04-01 11:46:07.317 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01T11:46:07.316Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2023-04-01 11:46:07.317 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2023-04-01T11:46:07.317Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01T11:46:07.317Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2023-04-01 11:46:07.317 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompNaming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01T11:46:07.317Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompNaming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01 11:46:07.317 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkAssignments" is missing required field(s) "[is_shared_network, supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01T11:46:07.317Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkAssignments" is missing required field(s) "[is_shared_network, supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01 11:46:07.318 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv4SubnetAssignments" is missing required field(s) "[use_ipv4, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01 11:46:07.318 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompHoming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01T11:46:07.318Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv4SubnetAssignments" is missing required field(s) "[use_ipv4, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01T11:46:07.318Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompHoming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01 11:46:07.318 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01T11:46:07.318Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01 11:46:07.318 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkFlows" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01T11:46:07.318Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkFlows" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01 11:46:07.318 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv6SubnetAssignments" is missing required field(s) "[use_ipv6, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01T11:46:07.318Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv6SubnetAssignments" is missing required field(s) "[use_ipv6, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01 11:46:07.318 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "Generic NeutronNet 0" are missing field(s): [network_role, provider_network]. CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01T11:46:07.318Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "Generic NeutronNet 0" are missing field(s): [network_role, provider_network]. CSAR name - /tmp/temp17924013197145629882.csar
2023-04-01 11:46:07.318 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2023-04-01T11:46:07.318Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2023-04-01T11:46:07.330Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2023-04-01 11:46:07.345 INFO 1 --- [tp1489831627-31] org.reflections.Reflections : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2023-04-01T11:46:07.341Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: 2 XML artifact(s) have been generated
2023-04-01T11:46:07.342Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2023-04-01T11:46:07.345Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2023-04-01 11:46:07.884 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2023-04-01 11:46:07.885 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01T11:46:07.884Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2023-04-01T11:46:07.885Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01 11:46:07.885 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2023-04-01T11:46:07.885Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2023-04-01 11:46:07.886 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompNaming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01 11:46:07.888 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkAssignments" is missing required field(s) "[is_shared_network, supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01T11:46:07.886Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompNaming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01 11:46:07.889 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv4SubnetAssignments" is missing required field(s) "[use_ipv4, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01T11:46:07.888Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkAssignments" is missing required field(s) "[is_shared_network, supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01 11:46:07.889 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompHoming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01T11:46:07.889Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv4SubnetAssignments" is missing required field(s) "[use_ipv4, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01T11:46:07.889Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompHoming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01 11:46:07.889 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01T11:46:07.889Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01 11:46:07.889 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkFlows" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01T11:46:07.889Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkFlows" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01 11:46:07.889 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv6SubnetAssignments" is missing required field(s) "[use_ipv6, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01T11:46:07.889Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv6SubnetAssignments" is missing required field(s) "[use_ipv6, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01 11:46:07.889 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "Generic NeutronNet 0" are missing field(s): [network_role, provider_network]. CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01T11:46:07.889Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "Generic NeutronNet 0" are missing field(s): [network_role, provider_network]. CSAR name - /tmp/temp12780194968185638294.csar
2023-04-01 11:46:07.890 WARN 1 --- [tp1489831627-31] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2023-04-01T11:46:07.890Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2023-04-01T11:46:07.890Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2023-04-01T11:46:07.893Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0001I Distribution event: org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts
2023-04-01T11:46:07.894Z|1ad4360f-51fa-4699-8c6e-b465b743a115|qtp1489831627-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-basic_network-service-1.0.xml","type":"MODEL","payload":"\n 7250a6d8-083f-409a-bb0a-3fd821385317\n service\n Network Service\n \n \n e855e3c6-f65c-4016-8559-f2356e1d2b35\n basic_network\n 1.0\n service\n \n \n T\n unbounded\n \n \n F\n unbounded\n \n \n \n model-ver\n \n model-ver.model-version-id\n eec63638-c703-4e68-9bd7-ec74a8912bba\n \n \n model.model-invariant-id\n 75a3a66b-d88e-4923-aefc-aed7573922e3\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 75a3a66b-d88e-4923-aefc-aed7573922e3\n resource\n \n \n eec63638-c703-4e68-9bd7-ec74a8912bba\n Generic NeutronNet\n 1.0\n Generic NeutronNet\n \n \n F\n unbounded\n \n \n \n model-ver\n \n model-ver.model-version-id\n 9111f20f-e680-4001-b83f-19a2fc23bfc1\n \n \n model.model-invariant-id\n 3d560d81-57d0-438b-a2a1-5334dba0651a\n \n \n \n \n \n \n \n"}]
2023-04-01T11:46:57.309Z|[fa7ca93b-cc9b-4fce-8d7a-da36998a34b6]|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {x-request-id=[652aa115-1ea9-44c5-a79e-dd4cc6d8d6d0], x-b3-parentspanid=[95267b29841389a4], X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], x-b3-sampled=[0], User-Agent=[Java/11.0.9], X-Forwarded-Proto=[http], Host=[aai-babel.onap:9516], x-envoy-attempt-count=[1], x-b3-traceid=[aec354dadf310d5495267b29841389a4], x-b3-spanid=[fe2bb350243048fe], x-forwarded-client-cert=[By=spiffe://cluster.local/ns/onap/sa/onap-aai-babel-read;Hash=e21973fd199345acec3c6cbf8da7b581ba41fd8542925c356cae186403a39032;Subject="";URI=spiffe://cluster.local/ns/onap/sa/onap-aai-modelloader-read], X-TransactionId=[[fa7ca93b-cc9b-4fce-8d7a-da36998a34b6]], Content-Length=[117414], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-DemoPnfSi2mb3yoepy4stqrhal0-csar.csar","csar":"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"}
2023-04-01T11:46:57.311Z|[fa7ca93b-cc9b-4fce-8d7a-da36998a34b6]|qtp1489831627-27|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=[fa7ca93b-cc9b-4fce-8d7a-da36998a34b6]]
2023-04-01T11:46:57.312Z|[fa7ca93b-cc9b-4fce-8d7a-da36998a34b6]|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned aaa06ae6-e44d-4f65-b81d-344196957a4c
2023-04-01T11:46:57.320Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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
2023-04-01T11:46:57.320Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-DemoPnfSi2mb3yoepy4stqrhal0-csar.csar
2023-04-01T11:46:57.324Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-DemoPnfSi2mb3yoepy4stqrhal0-template.yml
2023-04-01T11:46:57.325Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-DemoPnfSi2mb3yoepy4stqrhal0-template-interface.yml
2023-04-01T11:46:57.326Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Pnf7ba6910f322a-template.yml
2023-04-01T11:46:57.328Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Pnf7ba6910f322a-template-interface.yml
2023-04-01T11:46:57.329Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Extcp2-template.yml
2023-04-01T11:46:57.330Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Globalport-template.yml
2023-04-01T11:46:57.332Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Port-template.yml
2023-04-01T11:46:57.335Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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
2023-04-01T11:46:57.337Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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
2023-04-01T11:46:57.338Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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
2023-04-01T11:46:57.339Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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
2023-04-01T11:46:57.341Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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
2023-04-01T11:46:57.342Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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
2023-04-01T11:46:57.343Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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
2023-04-01T11:46:57.344Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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
2023-04-01T11:46:57.347Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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
2023-04-01T11:46:57.349Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Artifacts/org.openecomp.resource.pnf.Pnf7ba6910f322a_v1.0/Deployment/PM_DICTIONARY/PM_Dictionary.yaml
2023-04-01T11:46:57.350Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Artifacts/org.openecomp.resource.pnf.Pnf7ba6910f322a_v1.0/Deployment/VES_EVENTS/MyPnf_Pnf_v1.yaml
2023-04-01T11:46:57.350Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#generateArtifacts|BABEL0001I Distribution event: Generating XML for 18 CSAR artifacts.
2023-04-01 11:46:57.355 INFO 1 --- [tp1489831627-27] org.reflections.Reflections : Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2023-04-01T11:46:57.355Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2023-04-01 11:46:58.256 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2023-04-01 11:46:58.257 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01 11:46:58.257 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2023-04-01 11:46:58.257 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [network_role, network_role_tag]. CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01 11:46:58.257 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [unit, type]. CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01 11:46:58.257 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01T11:46:58.256Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2023-04-01 11:46:58.257 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01T11:46:58.257Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01T11:46:58.257Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2023-04-01T11:46:58.257Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [network_role, network_role_tag]. CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01T11:46:58.257Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [unit, type]. CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01 11:46:58.258 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01T11:46:58.257Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01T11:46:58.257Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01 11:46:58.258 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF 7ba6910f-322a 0" are missing field(s): [nf_function, sdnc_model_version, software_versions, sdnc_artifact_name, nf_role, default_software_version, nf_type, sdnc_model_name]. CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01T11:46:58.258Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01T11:46:58.258Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF 7ba6910f-322a 0" are missing field(s): [nf_function, sdnc_model_version, software_versions, sdnc_artifact_name, nf_role, default_software_version, nf_type, sdnc_model_name]. CSAR name - /tmp/temp12783698111812811337.csar
2023-04-01 11:46:58.258 WARN 1 --- [tp1489831627-27] 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/temp12783698111812811337.csar
2023-04-01 11:46:58.258 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2023-04-01T11:46:58.258Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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/temp12783698111812811337.csar
2023-04-01T11:46:58.258Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2023-04-01T11:46:58.269Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2023-04-01T11:46:58.281Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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
2023-04-01T11:46:58.281Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2023-04-01 11:46:58.284 INFO 1 --- [tp1489831627-27] org.reflections.Reflections : Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2023-04-01T11:46:58.284Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 1 ms to scan 1 urls, producing 4 keys and 4 values
2023-04-01 11:46:59.163 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2023-04-01 11:46:59.164 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01 11:46:59.164 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2023-04-01 11:46:59.164 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [network_role, network_role_tag]. CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01 11:46:59.164 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [unit, type]. CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01 11:46:59.164 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01 11:46:59.164 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01T11:46:59.163Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2023-04-01 11:46:59.164 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01 11:46:59.164 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF 7ba6910f-322a 0" are missing field(s): [nf_function, sdnc_model_version, software_versions, sdnc_artifact_name, nf_role, default_software_version, nf_type, sdnc_model_name]. CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01 11:46:59.164 WARN 1 --- [tp1489831627-27] 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/temp5113871554661647532.csar
2023-04-01T11:46:59.164Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01 11:46:59.164 WARN 1 --- [tp1489831627-27] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2023-04-01T11:46:59.164Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2023-04-01T11:46:59.164Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [network_role, network_role_tag]. CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01T11:46:59.164Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [unit, type]. CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01T11:46:59.164Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01T11:46:59.164Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01T11:46:59.164Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01T11:46:59.164Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF 7ba6910f-322a 0" are missing field(s): [nf_function, sdnc_model_version, software_versions, sdnc_artifact_name, nf_role, default_software_version, nf_type, sdnc_model_name]. CSAR name - /tmp/temp5113871554661647532.csar
2023-04-01T11:46:59.164Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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/temp5113871554661647532.csar
2023-04-01T11:46:59.164Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2023-04-01T11:46:59.165Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2023-04-01T11:46:59.166Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|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
2023-04-01T11:46:59.167Z|aaa06ae6-e44d-4f65-b81d-344196957a4c|qtp1489831627-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-Demo_pNF_sI2Mb3YoEpy4stqRhAl0-service-1.0.xml","type":"MODEL","payload":"\n 14afc6a7-d15f-4cf9-bd6e-f9580d1bfeb2\n service\n Network L1-3\n \n \n 7f6ccbf0-6827-47f8-b73a-4ed4941b6629\n Demo_pNF_sI2Mb3YoEpy4stqRhAl0\n 1.0\n catalog service description\n \n \n T\n unbounded\n \n \n T\n unbounded\n \n \n \n model-ver\n \n model-ver.model-version-id\n 2b04bc6f-7d4d-4c0d-a3c0-e2fd68b759ac\n \n \n model.model-invariant-id\n 3a1df802-e854-4f17-acb5-2e61dd52fc0e\n \n \n \n \n \n \n \n model-ver\n \n model-ver.model-version-id\n 46b92144-923a-4d20-b85a-3cbd847668a9\n \n \n model.model-invariant-id\n 82194af1-3c2c-485a-8f44-420e22a9eaa4\n \n \n \n \n \n \n \n"},{"name":"AAI-pNF 7ba6910f-322a-resource-1.0.xml","type":"MODEL","payload":"\n 3a1df802-e854-4f17-acb5-2e61dd52fc0e\n resource\n \n \n 2b04bc6f-7d4d-4c0d-a3c0-e2fd68b759ac\n pNF 7ba6910f-322a\n 1.0\n vendor software product\n \n \n T\n unbounded\n \n \n \n model-ver\n \n model-ver.model-version-id\n e9f1fa7d-c839-418a-9601-03dc0d2ad687\n \n \n model.model-invariant-id\n 862b25a1-262a-4961-bdaa-cdc55d69785a\n \n \n \n \n \n \n \n"}]
2023-04-01T11:47:24.054Z|[da2c0d0e-9916-41a8-bb65-e6475dbb215d]|qtp1489831627-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {x-request-id=[7e07d295-a6a8-4e40-a2aa-fc754dae5854], x-b3-parentspanid=[8681bf6adea013c4], X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], x-b3-sampled=[0], User-Agent=[Java/11.0.9], X-Forwarded-Proto=[http], Host=[aai-babel.onap:9516], x-envoy-attempt-count=[1], x-b3-traceid=[2c3104a195de93288681bf6adea013c4], x-b3-spanid=[dbc297888c80dad9], x-forwarded-client-cert=[By=spiffe://cluster.local/ns/onap/sa/onap-aai-babel-read;Hash=e21973fd199345acec3c6cbf8da7b581ba41fd8542925c356cae186403a39032;Subject="";URI=spiffe://cluster.local/ns/onap/sa/onap-aai-modelloader-read], X-TransactionId=[[da2c0d0e-9916-41a8-bb65-e6475dbb215d]], Content-Length=[100310], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicVm-csar.csar","csar":"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