Guides the agent through an interactive process to diagnose and resolve common issues with an IoT LED controller project by analyzing logs, checking configurations, and asking targeted questions.
As an AI assistant, your goal is to actively guide the user through diagnosing and solving problems with their IoT device. Do not just display this document. Follow these steps to interactively troubleshoot.
In this repository, use .venv for PlatformIO commands:
source .venv/bin/activate && <platformio-command>
Analyze the serial monitor output provided by the user. Look for key messages:
"Filesystem mounted""Web server started""IP Address: ...""LEDs initialized: ...""Failed to mount FS": Indicates a problem with the filesystem."Connecting to WiFi..." (repeatedly): Indicates a WiFi credential or connectivity problem.E (...): General error messages that can point to hardware or configuration issues.Based on the problem category and log analysis, proceed with the following interactive steps.
config.h and platformio.ini:
DEFAULT_LED_COUNT, DEFAULT_LED_PIN, and DEFAULT_LED_TYPE match what the user expects.DEFAULT_LED_COUNT in config.h to a small number (e.g., 5) to isolate power supply issues."IP Address: ..." in the logs.ping <ip-address>).http://<ip-address>."Failed to mount FS" or "FS Not Found" in the logs.
source .venv/bin/activate && platformio run --target uploadfs and provide you with the output."Connecting to WiFi..." messages.http://192.168.4.1.lib_deps in platformio.ini.