class DataProcessor extends WithDiagnostics with Serializable
Compiled version of a DFDL Schema, used to parse data and get the DFDL infoset
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def
getDiagnostics: Seq[Diagnostic]
Get the list of Diagnostic's created during the construction of the parent object
Get the list of Diagnostic's created during the construction of the parent object
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list of Diagnostic's. May contain errors or warnings, and so may be non-empty even if WithDiagnostics.isError is false.
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hashCode(): Int
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isError(): Boolean
Determine if any errors occurred in the creation of the parent object.
Determine if any errors occurred in the creation of the parent object.
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true if it represents an error, false otherwise
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def
newContentHandlerInstance(output: WritableByteChannel): DaffodilUnparseContentHandler
Obtain a new DaffodilUnparseContentHandler from the current DataProcessor.
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def
newXMLReaderInstance(): DaffodilParseXMLReader
Obtain a new DaffodilParseXMLReader from the current DataProcessor.
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notify(): Unit
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notifyAll(): Unit
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def
parse(input: InputSourceDataInputStream, output: InfosetOutputter): ParseResult
Parse input data from an InputSourceDataInputStream and output the infoset to an InfosetOutputter
Parse input data from an InputSourceDataInputStream and output the infoset to an InfosetOutputter
- input
data to be parsed
- output
the InfosetOutputter that will be used to output the infoset
- returns
an object which contains the result, and/or diagnostic information.
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def
save(output: WritableByteChannel): Unit
Save the DataProcessor
Save the DataProcessor
The resulting output can be reloaded by Compiler.reload.
- output
the byte channel to write the DataProcessor to. Note that external variable settings are not saved.
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toString(): String
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def
unparse(input: InfosetInputter, output: WritableByteChannel): UnparseResult
Unparse an InfosetInputter
Unparse an InfosetInputter
- input
the infoset inputter to use for unparsing
- output
the byte channel to write the data to
- returns
an object with contains diagnostic information
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def
wait(): Unit
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wait(arg0: Long, arg1: Int): Unit
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wait(arg0: Long): Unit
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def
walkMetadata(handler: MetadataHandler): Unit
Walks the handler over the runtime metadata structures
Walks the handler over the runtime metadata structures
- handler
- the handler is called-back during the walk as each metadata structure is encountered.
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def
withDebugger(dbg: Debugger): DataProcessor
Obtain a new DataProcessor with a specified debugger.
Obtain a new DataProcessor with a specified debugger.
- dbg
debugger
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def
withDebuggerRunner(dr: DebuggerRunner): DataProcessor
Obtain a new DataProcessor with a specified debugger runner.
Obtain a new DataProcessor with a specified debugger runner.
- dr
debugger runner
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def
withDebugging(flag: Boolean): DataProcessor
Obtain a new DataProcessor instance with debugging enabled or disabled.
Obtain a new DataProcessor instance with debugging enabled or disabled.
Before enabling, DataProcessor#withDebugger or DataProcessor#withDebuggerRunner must be called to obtain a DataProcessor with a non-null debugger.
- flag
true to enable debugging, false to disabled
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def
withExternalVariables(extVars: Map[String, String]): DataProcessor
Obtain a new DataProcessor with multiple DFDL variables set.
Obtain a new DataProcessor with multiple DFDL variables set.
- extVars
a map of key/value pairs, where the key is the variable name, and the value is the value of the variable. The key may be preceded by a string of the form "{namespace}" to define a namespace for the variable. If preceded with "{}", then no namespace is used. If not preceded by anything, then Daffodil will figure out the namespace.
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- @throws( classOf[ExternalVariableException] )
- Exceptions thrown
ExternalVariableException
if an error occurs while setting an external variable
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def
withExternalVariables(extVars: File): DataProcessor
Obtain a new DataProcessor with external variables read from a Daffodil configuration file
Obtain a new DataProcessor with external variables read from a Daffodil configuration file
- extVars
file to read DFDL variables from.
- Annotations
- @throws( classOf[ExternalVariableException] )
- Exceptions thrown
ExternalVariableException
if an error occurs while setting an external variable- See also
Daffodil Configuration File - Daffodil configuration file format
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def
withValidationMode(mode: ValidationMode): DataProcessor
Obtain a new DataProcessor having a specific validation mode
Obtain a new DataProcessor having a specific validation mode
- mode
mode to control validation
- Annotations
- @throws( classOf[InvalidUsageException] )
- Exceptions thrown
InvalidUsageException
if mode is not a valid ValidateMode value
- def withValidator(validator: Validator): DataProcessor
This is the documentation for the Apache Daffodil Scala API.
Package structure
org.apache.daffodil.sapi - Provides the classes necessary to compile DFDL schemas, parse and unparse files using the compiled objects, and retrieve results and parsing diagnostics
org.apache.daffodil.udf - Provides the classes necessary to create User Defined Functions to extend the DFDL expression language
org.apache.daffodil.runtime1.layers.api - Provides the classes necessary to create custom Layer extensions to DFDL.