Refactor Dreame vacuum orchestration to implement continuous phased cleaning cycles. Update logic for room queue management and notifications, enhancing automation for idle periods and phase transitions.
Refactor HAUpdate.sh to use 'docker compose' syntax for improved compatibility and readability. Added error handling with 'set -euo pipefail' and removed unused resource cleanup commands.
- Updated .gitignore to include new IP change configuration file.
- Bumped Home Assistant version to 2025.12.0.
- Modified logbook.yaml to exclude specific alarm panel entities for cleaner logs.
- Refactored alexa_media_player.yaml and climate.yaml to use template sensors for better organization and clarity.
- Added new template sensors in climate.yaml for tracking AC cooling status.
- Updated glances.yaml to define a template sensor for average temperature.
- Enhanced stats.yaml with new template sensors for various counts (sensors, automations, scripts, etc.).
- Removed outdated superbowl.yaml and weather_camera.yaml.disabled configurations.
- Updated README.md to reflect the new location of IP change monitoring.
Enhance configuration files for improved logging and vacuum automation
- Updated logbook.yaml to exclude additional domains and sensor entities for better data management.
- Modified logger.yaml to adjust log levels for template helpers and scripts, enhancing error tracking.
- Added auto_purge and commit_interval settings in recorder.yaml to optimize database management.
- Refined vacuum.yaml to improve queue handling and room identification logic, ensuring more efficient cleaning operations.
Fixes#1159
Switched everything to Buttoms but actually - didn't have any in production.
Refactor TPLink configurations by removing the deprecated tplink.yaml file and updating related components to use buttons instead of switches in logger and mqtt screens. Adjusted basketball shell script to reflect the same change.
- Updated vacuum.yaml to streamline the processing of room queues and enhance the logic for determining the next room to clean.
- Replaced multiple variables with a more efficient approach using regex for room identification and queue management.
- Simplified the remaining rooms logic to improve clarity and maintainability of the automation conditions.
- Updated vacuum.yaml to enhance the logic for vacuum activation conditions, allowing for on-demand cleaning when the family is not home or the input boolean is activated.
- Replaced the previous state condition with a template condition for better flexibility in automation triggers.
- Updated vacuum.yaml to improve the handling of cleaning modes and room queues, ensuring better management of vacuum operations based on user-defined conditions.
- Introduced new variables for room identification and refined automation triggers to enhance responsiveness to user presence and on-demand requests.
- Improved the logic for determining which rooms to clean, particularly focusing on bathroom segments and ensuring proper queue management.
- Removed outdated automation entries and streamlined the overall structure for better clarity and maintainability.
- Introduced a new section detailing the Dreame vacuum automations, including weekday sweeping, weekend mopping, and room-queue segment cleaning.
- Highlighted the integration with the Dreame HACS for efficient coverage and operation of the vacuum.
These updates aim to provide clearer instructions and improve user experience with the vacuum automation features.
- Added exclusions for vacuum-related input entities in logbook.yaml and recorder.yaml to streamline data logging.
- Introduced a new input_boolean for on-demand vacuum activation in vacuum.yaml, along with updated automation triggers and conditions for improved control over vacuum operations. Via Alexa
- Refined existing automation aliases for clarity and adjusted conditions to ensure proper functionality during guest mode.
- Updated home_stats.yaml with detailed descriptions for home status automation.
- Expanded vacuum.yaml to include new input helpers and automation scripts for managing vacuum cleaning schedules and states.
- Refined speech_engine.yaml to clarify usage and functionality for sending notifications.
- Modified briefing.yaml to include a new macro for reporting cleaned rooms by the vacuum.
These changes aim to improve clarity, usability, and functionality across the automation scripts and configurations.
- Removed redundant conditions from late night outside helper automation.
- Added a new automation for living room lighting that triggers a red scene when entry points are activated or garage doors are opened.
- Updated TV time automation to streamline triggers and removed the associated input boolean.
- Adjusted living room scene settings to ensure lights are on with specified RGB colors and brightness levels.
- Cleaned up trigger booleans by removing the now unnecessary TV time boolean.
- Introduced two new scenes: Living_Room_Daytime_Cool with 5500K cool white settings and Living_Room_Evening_Amber with 2700K warm amber settings.
- Updated README.md to reflect the new scenes and their descriptions, enhancing clarity on lighting options available for automations.
- Added "You are here" sections to various README files in the config directory, improving user orientation.
- Updated links in the main README to reflect new structure and provide direct access to configuration readmes.
- Enhanced descriptions in the automation, packages, scenes, scripts, and sounds directories for better usability.
https://github.com/CCOSTAN/Home-AssistantConfig/pull/1535
- Introduced `garadget.yaml` for managing garage door operations via MQTT, including auto-open on arrival and an entry helper prompt for unlocking the front door or opening the garage.
- Updated README.md to include a new section on Garadget automations, highlighting key features and integration details.
- Enhanced automation logic for better user interaction and notifications upon arrival.
#1365
Update README files to include August smart lock and Amazon Echo Show details, enhancing device listings with affiliate links and descriptions for improved user engagement.
