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Mastering the UniFlash CLI: Automating Flash Programming with Scripting Interfaces
In high-volume manufacturing environments and continuous integration (CI) pipelines, manual graphical user interfaces (GUIs) create production bottlenecks. Texas Instruments’ UniFlash tool provides a robust GUI for debugging, but its true power lies in its Command Line Interface (CLI). By leveraging the UniFlash CLI, embedded software engineers can automate firmware deployment, eliminate human error, and accelerate production testing.
This guide explores how to harness the UniFlash CLI, configure hardware targets, and write automation scripts to streamline your flash programming workflows. Why Transition to the CLI?
While the UniFlash GUI is excellent for initial development and board bring-up, it falls short in automated environments. The CLI offers several distinct advantages:
Headless Execution: Runs on remote servers or build nodes without a graphical display.
Repetitiveness and Speed: Eliminates manual clicking, reducing the time required to flash multiple devices sequentially.
Pipeline Integration: Integrates directly into Gitlab CI, GitHub Actions, or Jenkins pipelines for automated regression testing.
Version Control: Allows flashing configurations to be saved as text-based scripts and tracked alongside firmware source code. Anatomy of the UniFlash CLI
The UniFlash CLI operates primarily through a standalone executable or an automated script generator. Depending on your installation, you will interact with either dslite.bat (Windows) / dslite.sh (Linux/macOS) or the generated standalone command-line package. The core command structure follows this syntax:
dslite –mode Use code with caution. Key Parameters:
Mode (–mode): Defines the operation, such as flash (default), erase, or verify.
Configuration (–config): Points to a Target Configuration file (.ccxml). This file tells UniFlash exactly which debug probe (e.g., XDS110) and target microcontroller (e.g., CC26x2 or MSP432) are in use.
Target Options: Variables to specify memory addresses for raw binaries or specific core controls for multi-core processors. Setting Up Your First CLI Command
Before writing a script, you must generate the required .ccxml file. The easiest way to do this is through Code Composer Studio (CCS) or the UniFlash GUI. Open the UniFlash GUI. Select your device and connection probe. Click on the Settings & Utilities tab.
Look for the path to the generated targetdb configuration or export the .ccxml file to your project directory.
Once you have your configuration file, open your terminal and execute a basic flash command:
# Windows example for an MSP432 device dslite.bat –mode flash –config=MSP432P401R.ccxml firmware.hex Use code with caution.
This single command initializes the debug probe, unlocks the device, erases the necessary flash sectors, programs firmware.hex, and verifies the written data. Automating with Scripting Interfaces
To scale production or testing, you can wrap these CLI commands into shell scripts (Bash) or Python scripts. Python is highly recommended for production environments due to its cross-platform compatibility and powerful error-handling capabilities. Example: Production Python Script
The following Python script automates the programming of multiple devices, handles errors gracefully, and logs execution results for quality assurance.
import subprocess import sys import os # Configuration paths DSLITE_PATH = r”C:\ti\uniflash_8.0.0\dslite.bat” # Update to your UniFlash path CONFIG_FILE = “target_config.ccxml” FIRMWARE_IMAGE = “production_release.hex” def program_device(): if not os.path.exists(FIRMWARE_IMAGE): print(f”Error: Firmware file {FIRMWARE_IMAGE} not found.“) sys.exit(1) print(“Initializing flash programming sequence…”) # Construct the CLI command command = [ DSLITE_PATH, “–mode”, “flash”, f”–config={CONFIG_FILE}“, FIRMWARE_IMAGE ] try: # Execute command and capture output result = subprocess.run(command, capture_output=True, text=True, check=True) print(“Programming Successful!”) print(result.stdout) except subprocess.CalledProcessError as e: print(“Programming Failed!”, file=sys.stderr) print(e.stderr, file=sys.stderr) # Log failure code for the assembly line operator sys.exit(e.returncode) if name == “main”: program_device() Use code with caution. Advanced Techniques: Mass Production and Serialization
When programming devices on a manufacturing line, you often need to write unique data to each board, such as a MAC address, a unique serial number, or a cryptographic key.
The UniFlash CLI handles this through memory-specific arguments. Instead of rewriting the entire firmware image for every board, you can flash the primary image once, and then append a small binary containing the unique identifier to a specific memory offset:
# Flash unique serial number to a specific flash sector address dslite.bat –mode flash –config=target_config.ccxml –range=0x0003F000 serial_number.bin Use code with caution.
By incorporating this command into your Python loop, your script can increment the serial number in serial_number.bin dynamically before calling UniFlash. Best Practices for CLI Automation
To ensure stability in a headless or automated environment, implement these production-ready practices:
Explicit Error Checking: Always parse the exit codes of the CLI tool. A return code of 0 indicates success. Any non-zero code represents a failure (e.g., target disconnect, verification mismatch).
Verbose Logging: Use the -v or –verbose flags during script development to capture detailed logs from the debug probe driver.
Firmware Verification: Ensure that verification is never skipped in production. Use –mode verify if you need to run a standalone checksum validation post-programming.
Locking Debug Ports: For production devices, include a final script step that modifies the device configuration registers to lock the JTAG/SWD debug port, protecting your intellectual property from unauthorized read-outs. Conclusion
Mastering the UniFlash CLI transitions your deployment workflow from a manual, error-prone process to a seamless, automated pipeline. Whether you are running nightly firmware regression tests on a remote server rack or flashing thousands of microcontrollers on an assembly line, scripting your flash interfaces guarantees consistency, speed, and reliability.
If you would like to tailor this workflow to your specific environment, let me know:
Which target microcontroller or TI processor family are you using?
What operating system (Windows, Linux, macOS) runs your automation?
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