JDBC source fails on a strange error when information date sql type is not correct

[yruslan]

Describe the bug

A clear and concise description of what the bug is.

Code and/or configuration snippet that caused the issue

{
  name = "jdbc3"
  factory.class = "za.co.absa.pramen.core.source.JdbcSource"
  jdbc {
    driver = "driver2"
    connection.string = "url2"
    user = "user2"
    password = "password2"
  }

  has.information.date.column = false
  information.date.type = "wrong"
}

Stack trace

Class 'za.co.absa.pramen.core.source.JdbcSource' is not an instance of 'za.co.absa.pramen.api.ExternalChannelFactory[za.co.absa.pramen.api.Source]'
java.lang.IllegalArgumentException: Class 'za.co.absa.pramen.core.source.JdbcSource' is not an instance of 'za.co.absa.pramen.api.ExternalChannelFactory[za.co.absa.pramen.api.Source]'
	at za.co.absa.pramen.core.utils.ClassLoaderUtils$.loadSingletonClassOfType(ClassLoaderUtils.scala:37)
	at za.co.absa.pramen.core.ExternalChannelFactoryReflect$.fromConfig(ExternalChannelFactoryReflect.scala:49)
	at za.co.absa.pramen.core.ExternalChannelFactoryReflect$.fromConfigByName(ExternalChannelFactoryReflect.scala:105)
	at za.co.absa.pramen.core.source.JdbcSourceSuite.$anonfun$new$4(JdbcSourceSuite.scala:137)

Expected behavior

1. information.date.type should be ignored when has.information.date.column = false
2. If has.information.date.column = true the error should reflect the actual error.

Context

• Pramen/pramen-py version: 1.10.0
• Spark version: 3.4.4
• Scala/Python version: 2.21