- Suppressed SQLAlchemy logging in `app.py` and `main.py` to reduce console verbosity. - Introduced a new modular chart system in `components/charts/` with a `ChartBuilder` class for flexible chart creation. - Added utility functions for data processing and validation in `components/charts/utils.py`. - Implemented indicator definitions and configurations in `components/charts/config/indicator_defs.py`. - Created a comprehensive documentation structure for the new chart system, ensuring clarity and maintainability. - Added unit tests for the `ChartBuilder` class to verify functionality and robustness. - Updated existing components to integrate with the new chart system, enhancing overall architecture and user experience.
24 lines
624 B
Python
24 lines
624 B
Python
"""
|
|
Chart Layers Package
|
|
|
|
This package contains the modular chart layer system for rendering different
|
|
chart components including candlesticks, indicators, and signals.
|
|
"""
|
|
|
|
# Package metadata
|
|
__version__ = "0.1.0"
|
|
__package_name__ = "layers"
|
|
|
|
# Layers will be imported once they are created
|
|
# from .base import BaseCandlestickLayer
|
|
# from .indicators import IndicatorLayer
|
|
# from .subplots import SubplotManager
|
|
# from .signals import SignalLayer
|
|
|
|
# Public exports (will be populated as layers are implemented)
|
|
__all__ = [
|
|
# "BaseCandlestickLayer",
|
|
# "IndicatorLayer",
|
|
# "SubplotManager",
|
|
# "SignalLayer"
|
|
] |