- Introduced a comprehensive refactoring guide detailing when and how to plan major refactorings, including a structured planning process and real-world examples.
- Created a README for the planning directory, outlining its purpose, document lifecycle, and best practices for creating planning documents.
- Removed the `calculate_current_rolling_5interval_avg` and `calculate_next_hour_rolling_5interval_avg` functions from `average_utils.py` to streamline the codebase.
- Introduced unified methods for retrieving interval values and rolling hour calculations in `sensor.py`, enhancing code reusability and readability.
- Organized sensor definitions into categories based on calculation methods for better maintainability.
- Updated handler methods to utilize the new unified methods, ensuring consistent data retrieval across different sensor types.
- Improved documentation and comments throughout the code to clarify the purpose and functionality of various methods.
Renamed internal sensor keys to be more explicit about their temporal scope:
- current_price → current_interval_price
- price_level → current_interval_price_level
- price_rating → current_interval_price_rating
This naming makes it clearer that these sensors represent the current
15-minute interval, distinguishing them from hourly averages and other
time-based calculations.
Updated across all components:
- Sensor entity descriptions and handlers (sensor.py)
- Time-sensitive entity keys list (coordinator.py)
- Config flow step IDs (config_flow.py)
- Translation keys in all 5 languages (de, en, nb, nl, sv)
- Custom translations (entity descriptions, usage tips)
- Price level/rating lookups (const.py, sensor.py)
- Documentation examples (AGENTS.md, README.md)
Impact: Sensor entity IDs remain unchanged due to translation_key system.
Existing automations continue to work. Only internal code references and
translation structures updated for consistency.
Extended AGENTS.md with comprehensive patterns learned from period
calculation development and documentation rewrite.
Logging Guidelines:
- Added hierarchical indentation pattern (INDENT_L0-L5)
- Defined log level strategy (INFO=compact/scannable,
DEBUG=detailed/hierarchical, WARNING=top-level)
- Added configuration context headers for complex calculations
- Documented per-day processing patterns
- Added note about logs as documentation foundation
User Documentation Quality:
- Added principles: clarity over completeness, visual examples,
use-case driven structure, practical troubleshooting, progressive
disclosure
- Added validation rules for code-documentation sync
Documentation Writing Strategy (new section):
- Live understanding vs. cold code analysis
- User feedback loop importance
- Log-driven documentation approach
- Concrete examples over abstract descriptions
- Context accumulation in long sessions
- Document the "why", not just the "what"
Impact: Future AI sessions can produce better logs (traceable logic
with visual hierarchy) and better documentation (user-focused with
concrete examples from live development).
