Improve the filtering of peak periods to eliminate cross-day artifacts and ensure that only genuine high-price windows are retained. This includes adjustments to the criteria for peak classification and the introduction of validation against previous day's prices for overnight intervals.
Impact: Users will experience more accurate peak pricing data, reducing misleading peak classifications on flat days.
Refactor the contribution guidelines to enhance readability and consistency in formatting. Adjusted code blocks and list formatting for better visual structure.
Impact: Contributors will find it easier to follow the guidelines when contributing to the project.
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docs(README): update automation examples for better readability
Reformatted YAML automation examples in the README to improve clarity and consistency. Indentation and structure were adjusted for better understanding.
Impact: Users will have clearer examples for setting up automations with the integration.
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chore(manifest): streamline manifest file formatting
Consolidated formatting in the manifest file for consistency. Adjusted the codeowners and requirements sections for a cleaner look.
User-Impact: none
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chore(pyproject): enhance project configuration for better linting and testing
Updated the pyproject.toml file to improve linting configurations and testing options. Added specific rules for ruff and pytest to align with project standards.
User-Impact: none
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chore(manifest_schema): simplify JSON schema for integration manifest
Refined the manifest schema by consolidating enum definitions for better readability and maintenance.
User-Impact: none
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chore(prettier): add Prettier configuration for consistent code formatting
Introduced a Prettier configuration file to standardize code formatting across the project, ensuring consistency in style.
User-Impact: none
