The Apache Daffodil™ Extension for Visual Studio Code is an extension to the Microsoft® Visual Studio Code (VS Code) editor which enables Data Format Description Language (DFDL) syntax highlighting, code completion, and the interactive debugging of DFDL Schema parsing operations using Apache Daffodil™.
DFDL is a data modeling language used to describe file formats. The DFDL language is a subset of eXtensible Markup Language (XML) Schema Definition (XSD). Just as file formats are rich and complex, so is the modeling language to describe them. Developing DFDL Schemas can be challenging, requiring a lot of iterative development, and testing.
The purpose of Apache Daffodil™ Extension for Visual Studio Code is to ease the burden on DFDL Schema developers, enabling them to develop high quality, DFDL Schemas, in less time. VS Code is free, open source, cross-platform, well-maintained, extensible, and ubiquitous in the developer community. These attributes align well with the Apache Daffodil™ project and the Apache Daffodil™ Extension for Visual Studio Code.
DFDL is rich and complex. Developers using modern code editors expect some degree of built-in language support for the language in which they are developing, and DFDL should be no different. The Apache Daffodil™ Extension for Visual Studio Code provides syntax highlighting to improve the readability and context of the text. In addition, the syntax highlighting provides feedback to the developer indicating the structure and code appear syntactically correct.
The Apache Daffodil™ Extension for Visual Studio Code provides code completion, also known as “Intellisense”, offering context-aware code segment predictions that can dramatically speed up DFDL Schema development by reducing keyboard input, memorization by the developer, and typos.
Hovering over a DFDL schema element will provide information about
that DFDL element. 
The Apache Daffodil™ Extension for Visual Studio Code provides a Daffodil Data Parse Debugger which enables the developer to carefully control the execution of Apache Daffodil™ parse operations. Given a DFDL Schema and a target data file, the developer can step through the execution of a parse line by line, or until the parse reaches some developer-defined location, known as a break point, in the DFDL Schema. What is particularly helpful is that the developer can watch the parsed output, known as the "infoset", as it’s being created by the parser, and see where the parser is parsing in the data file. This enables the developer to quickly discover and correct issues, improving DFDL Schema development and testing cycles.
The Apache Daffodil™ Extension for Visual Studio Code provides an integrated data editor. It is akin to a hex editor, but tuned specifically for challenging Daffodil use cases. As an editor designed for Daffodil developers by Daffodil developers, features of the tool will evolve quickly to address the specific needs of the Daffodil community.
The Apache Daffodil™ Extension for Visual Studio Code provides TDML support. TDML is a way of specifying a DFDL schema, input test data, and expected result or expected error/diagnostic messages, all self-contained in an XML file. A TDML file is often useful just to ask a question about how something in DFDL works. For example, when uploading files to the daffodil users mailing list, it may be easier to upload a zip file containing a TDML file, the DFDL Schema file, the input data file, and, optionally, the infoset file. Sending this file to the users mailing list will allow other users to unpack your zip file and run your test case. It becomes even easier if you have multiple test cases. It allows for a level of precision that is often lacking, but also often required when discussing complex data format issues. As such, providing a TDML file along with a bug report is the absolutely best way to demonstrate a problem. You can read more about TDML here on the Apache Daffodil™ website.
This guide assumes VS Code and a Java Runtime Environment (Java 8 or greater) are installed.
The Apache Daffodil™ Extension for Visual Studio Code can be installed using one of two methods.
The Apache Daffodil™ Extension for Visual Studio Code is available in the Visual Studio Code Extension Marketplace. This option is recommended for most users.
The latest .vsix (the file extension used for VS Code
extensions) file can also be downloaded from the Apache Daffodil™
Extension for Visual Studio Code releases
page and installed by either:
code --install-extension <path-to-downloaded-vsix-file>;
orvsix to bring up
the command and pointing it at the downloaded .vsix
file.Since DFDL Schema files end with .xsd (XML Schema
Definition or XSD), the editor needs to be informed specifically that
DFDL mode is desired over the more general XML mode. The mode is
selected in the status bar at the bottom of the editor window.
Auto suggest is triggered using control space or typing
the beginning characters of an item. Typing one or more unique
characters will further limit the results.
📝 NOTE: Intellisense is context aware, so
there is no need to begin a block with <, just start
typing the tag name and code completion will automatically handle it as
appropriate.
Code completion can be used to add a schema block, with just a couple of keystrokes. Code completion can make short work out of completing a DFDL Format Block, offering context-sensitive suggestions attribute values.
The > or / characters are used to close
XML tags. Use tab to select an item from the drop down and
to exit double quotes.
Code completion supports creating self-defined
dfdl:complextypes and dfdl:simpleTypes.
The tab key can be used to complete an auto-complete
item within an XML tag. After auto-complete is triggered, typing the
initial character or characters will limit the suggestion results.
Inside an XML tag a space or carriage return
will trigger a list of context sensitive attribute suggestions.
XPath expressions can be code completed.
Debugging a DFDL Schema needs both the DFDL Schema to use and a data file to parse. Instead of having to select the DFDL Schema and the data file each time from a file picker, a "launch configuration" can be created, which is a JSON description of the debugging session.
To create the launch profile:
Before proceeding to the next steps, makes sure that you have
opened a desired working directory. Select
File -> Open Folder from the VS Code menu bar. This will
allow you to select desired working directory.
Select Run -> Open Configurations from the VS
Code menu bar. This will load a launch.json file into the
editor. There may be existing configurations, or it may be
empty.
Press Add Configuration... and select the
Daffodil Debug - Launch option.
Once the launch.json file has been created it will look
something like this
{
"type": "dfdl",
"request": "launch",
"name": "Ask for file name",
"program": "${command:AskForProgramName}",
"stopOnEntry": true,
"data": "${command:AskForDataName}",
"infosetOutput": {
"type": "file",
"path": "${workspaceFolder}/infoset.xml"
},
"debugServer": 4711
}This default configuration will prompt the user to select the DFDL Schema and data files. If desired, the "program" and "data" elements can be mapped specifically to the user's files to avoid being prompted each time.
📝 Note: Use ${workspaceFolder} for files in the VS Code
workspace, and use absolute paths for files outside of the
workspace.
{
"type": "dfdl",
"request": "launch",
"name": "DFDL parse: My Data",
"program": "${workspaceFolder}/schema.dfdl.xsd",
"stopOnEntry": true,
"data": "/path/to/my/data",
"infosetOutput": {
"type": "file",
"path": "${workspaceFolder}/infoset.xml"
},
"debugServer": 4711
}Using the launch profile above a DFDL parse: My Data
menu item at the top of the Run and Debug pane
(Command-Shift-D) will display. Then press the play button
to start the debugging session.
In the Terminal, log output from the DFDL debugger backend service will display. If something is not working as expected, check the output in this Terminal window for hints.
The DFDL Schema file will also be loaded in VS Code and there should
be a visible marking at the beginning where the debugger has paused upon
entry to the debugging session. Control the debugger using the available
VS Code debugger controls such as setting breakpoints,
removing breakpoints, continue,
step over, step into, and
step out.
Option 1:
Daffodil Debug:
Daffodil Debug: Debug File - This will allow
for the user to fully step through the DFDL Schema. Once fully
completed, it will produce an infoset to a file named
SCHEMA-infoset.xml which it then opens as well.Daffodil Debug: Run File - This will run the
DFDL Schema, producing the infoset to a file named
SCHEMA-infoset.xml.Option 2:
Debug File - This will allow for the user to
fully step through the schema (WIP). Once fully completed, it will
produce a infoset to a file named SCHEMA-infoset.xml which
it then opens as well.Run File - This will run the DFDL Schema,
producing the infoset to a file named SCHEMA-infoset.xml
which it then opens as well.Find the infoset tools from the command menu (Mac = Command+Shift+P, Windows/Linux = Ctrl+Shift+P)
Find the hex view from the command menu (Mac = Command+Shift+P, Windows/Linux = Ctrl+Shift+P)
When uploading files to the mailing list, it may be easier to upload a zip file containing a TDML file, the DFDL Schema file, the input data file, and, optionally, the infoset file. Sending this file to the mailing list will allow other users to unpack your zip file and run your test case. It becomes even easier if you have multiple test cases.
To Generate a TDML file, use similar steps for Launching a DFDL Parse Debugging Session:
Daffodil Debug: Generate TDML commandConfigure launch.json to generate a TDML file. 
Run the debug extension, choose a dfdl schema and data file. Make
sure the language mode is DFDL. 
Press the continue button to produce the infoset. 
When the infoset generates, a temporary TDML schema will generate.
Once the Daffodil Parse has finished, an infoset and a TDML file will be created. The TDML file contains relative paths to the DFDL Schema file, input data file, and infoset file. When creating an archive for these files, preserve the directory structure in the archive.
Close all windows except the dfdl schema window. Click “Copy TDML
File” in the dropdown.
Enter a name for the TDML file, click “Save TDML File.
Close the dfdl schema in the editor window. Click the explore tab to
verify file is in project folder.
To Append a new test case to an existing TDML file, use similar steps for Generating a TDML file:
Daffodil Debug: Append TDML commandTo append to the existing TDML file, open the TDML file and click the
button in the upper right corner to open in a text editor.
Change the test case name and save the file. 
Select append from the TDML dropdown menu at the upper right. 
The original default test case from the temp directory will be
appended to the saved TDML file with the renamed new test case. 
Once the Daffodil Parse has finished, an infoset will be created, and a test case will be added to the existing TDML file. The TDML test case name OR description can be shared between test cases, but no two test cases should share TDML test case names and descriptions. To create an archive for a TDML file with multiple test cases, the same guidelines for creating an archive from a TDML file created from a 'Generate TDML' operation should be followed. All DFDL schema files, input data files, the TDML file, and, optionally, the infosets should be added to the archive. Additionally, any directory structure should be preserved in the archive to allow for the relative paths in the TDML file to be resolved.
When running a zip archive created from another user, extract the archive into your workspace folder. If there is an infoset in the zip archive that you wish to compare with your infoset, make sure that the infoset from the zip archive is not located at the same place as the default infoset for the Daffodil Parse that will be run when executing a test case from the TDML file. This is because the Daffodil Parse run by executing the TDML test case uses the default location for its infoset and will overwrite anything that already exists there.
To Execute a test case from a TDML file, use the following steps:
Daffodil Debug: Execute TDML command or select Execute TDML
for the dropdown menuClick on the explore tab to display the file view. Select a TDML
file.
After the TDML file opens select “Execute TDML” option from dropdown.
Quickly select a test case and description. 
The dfdl schema and a new infoset will utilizing using the values
from the TDML file. 
A Daffodil Parse will then be launched. The DFDL Schema file and input data file to be used is determined by the selected test case in the TDML file. The infoset that is generated from this parse can optionally be compared to an infoset included in the zip archive the TDML file was extracted from.
This version of the Apache Daffodil™ Extension for Visual Studio Code
includes a new Data Editor. To use the Data Editor, open the VS Code
command palette and select Daffodil Debug: Data Editor.
A notification message will appear that informs where the Data Editor will write its logs to. If problems happen, check this log file for clues.
Once the extension is connected to the server, the bottom left corner of the Data Editor shows the version of the Ωedit™ server powering the editor, and the port its connected to. Hovering over the filled circle shows the CPU load average, the memory usage of the server in bytes, the server session count, the server uptime measured in seconds, and the round trip latency measured in milli-seconds.
After selecting a file to edit, there will be a table with controls at the top of the Data Editor.
The first section of the table is called File Metrics
and it contains the path of the file being edited, its initial size in
bytes, the size as the file is being edited, and the detected Content
Type. When changes are committed, the Save button will
become enabled, allowing the changes to be saved to file. The
Redo and Undo buttons will redo and undo edit
change transactions that have been applied. The Revert All
button will revert all edit changes that have been applied since the
file was opened. The Profile button will open the
Data Profiler and allow profiling of all or a portion of
the edited file.
The Data Profiler allows for byte frequency profiling of
all or a section of the file starting at an editable start offset and
ending at an editable end offset, or an editable length of bytes. The
offsets and lengths will use the chosen Address Radix. The
frequency scale can be either Linear or
Logrithmic. The graph can have either an ASCII
overlay that appears behind the graph, or None for no
overlay behind the graph. Hover over the bars to see the byte frequency
and value. The frequency data can be downloaded as a Comma Separated
Value (CSV) file using the Profile as CSV button. Click
anywhere outside the Data Profiler to close it.
📝 Note: The maximum length of bytes that can be profiled in this version is capped at 10,000,000 (10M).
The second section of the table is called Search, and it
allows for seeking to a desired offset and searching of byte sequences
in the given Edit Encoding in the edited file. The
Seek input box uses the selected Address Radix
as the seek radix. If the Edit Encoding can be
case-insensitive, a Case Insensitive toggle (located inside
the Search input box) will be displayed allowing for that
option to be enabled. The found sequences can be examined using the
First, Prev, Next, and
Last buttons found in this section. The search can be
canceled using the Cancel button.
Found sequences can also be replaced in the given
Edit Encoding by filling in a replacement sequence and
clicking the Replace... button.
The third section of the table is called Settings, and
it allows for setting the Display Radix,
Edit Encoding, and Editing mode.
The Display Radix can be one of Hexadecimal,
Decimal, Octal, or Binary, and will affect
the bytes displayed in the Physical viewport.
The Edit Encoding can be one of Hexadecimal,
Binary, ASCII (7-Bit), Latin-1 (8-bit),
UTF-8, or UTF-16LE and will affect the selected bytes
being edited in the Edit viewport.
In Single Byte Edit Mode, individual bytes may be
deleted, inserted (to the left or to the right of the
selected byte), and overwritten in the
Single Byte Edit Window that appears when a byte in the
Physical or Logical viewports is clicked.
Mouseover the buttons of the Ephemeral Edit Window to
determine what each button does. Mouseover the Input Box
and it will show the byte offset position in the
Address Radix selected radix. Buttons will become enabled
or disabled depending on whether there is valid input in the
Input Box or not. Values entered in the
Input Box must match the format set by the byte
Display Radix when editing bytes in the
Physical viewport or be in Latin-1 (8-bit ASCII)
format when editing bytes in the Logical viewport.
When clicking on a single byte in either the Physical or
Logical viewports, the Data Inspector will
populate giving the value of the byte in latin-1, and various integer
formats with respect to the selected endianess. The
Data Inspector will also show the byte offset position in
the Address Radix selected radix. All of the values in the
Data Inspector are editable by clicking on the value and
entering a new value.
In Multiple Byte Edit Mode, a segment of bytes is
selected from either the Physical or Logical
viewports, then the selected segment of bytes is edited in the
Edit viewport using the selected
Edit Encoding.
Now changes are made in the selected Edit Encoding.
When valid changes have been made to the segment of bytes in the
Edit viewport, the Apply button will become
enabled.
Once editing of the selected segment is completed and is valid, the
Apply button is pressed, and the edited segment replaces
the selected segment. As with changes made in
Single Byte Mode, changes in
Multiple Byte Edit Mode are also applied as edit
transactions that can be undone and redone.
Byte addresses can be expressed in hexadecimal,
decimal, or octal. The selected
Address Radix is also what is used entering an offset into
the Offset input and for offsets and length in the
Data Profiler. If an offset was entered in the
Offset input and the Address Radix is changed,
the offset will automatically be converted into the selected radix.
The Data Editor supports light and dark modes. The mode is determined by the VSCode theme. If the VSCode theme is set to a light theme, the Data Editor will be in light mode. If the VSCode theme is set to a dark theme, the Data Editor will be in dark mode.
The Data Editor can be navigated using the mouse or keyboard.
Clicking on the File Progress Indicator Bar will
navigate to the position in the file that corresponds to the position
clicked.
Below the File Progress Indicator Bar are a series of
buttons that allow for navigating the file. The Home button
will take you to the beginning of the file, the Page Up
button will take you to the previous page of the file, the
Page Down button will take you to the next page of the
file, and the End button will take you to the end of the
file. The Line Up button will take you to the previous line
of the file, and the Line Down button will take you to the
next line of the file.
The following keyboard shortcuts are available in the Data Editor:
For any input box, including the input box for
Single Byte Editing Mode, ENTER will submit
the input, and ESC will cancel the input.
When using Single Byte Editing Mode,
CTRL-ENTER will insert a byte to the left of the selected
byte, SHIFT-ENTER will insert a byte to the right of the
selected byte ,and DELETE will delete the selected
byte.
When browsing the data in the Physical or
Logical viewports, Home will take you to the
top of the edited file, End will take you to the end of the
edited file, Page-Up will give you the previous page of the
edited file, Page-Down will give you the next page of the
edited file, Arrow-Up will give you the previous line of
the edited file, and Arrow-Down will give you the next line
of the edited file.
Ubuntu 24.02 (release date 04/25/2024) When using the debugger to step through a dfdl schema utilizing the step over action, the step over action will trigger dfdl intellisense to display a list of suggestions when a line in the schema is reached that results in output to the infoset. This problem can be mitigated by disabling "WaylandEnable" by uncommenting "#WaylandEnable=false" in the /etc/gdm3/custom.conf configuration file and rebooting the system.
Ubuntu 20.04 (release date 04/23/2020) When using the debugger to step through a dfdl schema utilizing the step over action, the step over action will trigger dfdl intellisense to display a list of suggestions when a line in the schema is reached that results in output to the infoset. A cause and solution have not yet been discovered. Note that the mitigation listed above for Ubuntu 24.04 was not found to be an effective mitigation for Ubuntu 20.04.
Ubuntu 22.04 (release date 04/21/2022) The debugger problem that occurs with the step over action in Ubuntu 20.04 and Ubuntu 24.04 has not been found to be a problem in Ubuntu 22.04.
At this time the debugger step into and step out actions have no code behind them, using either button results in an unrecoverable error. We have not found a way to disable the step into and step out buttons. This problem occurs in all Operating Systems.
To change the Ωedit port, change the port in
.vscode/launch.json rather than the extension-level
settings.json. Currently the global extension-level settings are not
being taken into consideration (https://github.com/apache/daffodil-vscode/issues/1127).
When closing the last Data Editor tab, a popup appears that says the Ωedit server failed to shutdown, despite the fact that it did indeed shutdown (https://github.com/apache/daffodil-vscode/issues/1128). This popup can be safely ignored.
If problems are encountered or new features are desired, create tickets here.
If additional help or guidance on using Daffodil and its tooling is needed, please engage with the community on mailing lists and/or review the archives.
If you would like to contribute to the project, please checkout our Development.md for instructions on how to get started.