""" Chart control components for the market data layout. """ from dash import html, dcc from utils.logger import get_logger logger = get_logger("chart_controls") def create_chart_config_panel(strategy_options, overlay_options, subplot_options): """Create the chart configuration panel with add/edit UI.""" return html.Div([ html.H5("🎯 Chart Configuration", style={'color': '#2c3e50', 'margin-bottom': '15px'}), # Add New Indicator Button html.Div([ html.Button( "➕ Add New Indicator", id="add-indicator-btn-visible", className="btn btn-primary", style={ 'background-color': '#007bff', 'color': 'white', 'border': 'none', 'padding': '8px 16px', 'border-radius': '4px', 'cursor': 'pointer', 'margin-bottom': '15px', 'font-weight': 'bold' } ) ]), # Strategy Selection html.Div([ html.Label("Strategy Template:", style={'font-weight': 'bold', 'margin-bottom': '5px'}), dcc.Dropdown( id='strategy-dropdown', options=strategy_options, value=None, placeholder="Select a strategy template (optional)", style={'margin-bottom': '15px'} ) ]), # Indicator Controls with Edit Buttons html.Div([ # Overlay Indicators html.Div([ html.Label("Overlay Indicators:", style={'font-weight': 'bold', 'margin-bottom': '10px', 'display': 'block'}), html.Div([ # Hidden checklist for callback compatibility dcc.Checklist( id='overlay-indicators-checklist', options=overlay_options, value=[], # Start with no indicators selected style={'display': 'none'} # Hide the basic checklist ), # Custom indicator list with edit buttons html.Div(id='overlay-indicators-list', children=[ # This will be populated dynamically ]) ]) ], style={'width': '48%', 'display': 'inline-block', 'margin-right': '4%', 'vertical-align': 'top'}), # Subplot Indicators html.Div([ html.Label("Subplot Indicators:", style={'font-weight': 'bold', 'margin-bottom': '10px', 'display': 'block'}), html.Div([ # Hidden checklist for callback compatibility dcc.Checklist( id='subplot-indicators-checklist', options=subplot_options, value=[], # Start with no indicators selected style={'display': 'none'} # Hide the basic checklist ), # Custom indicator list with edit buttons html.Div(id='subplot-indicators-list', children=[ # This will be populated dynamically ]) ]) ], style={'width': '48%', 'display': 'inline-block', 'vertical-align': 'top'}) ]) ], style={ 'border': '1px solid #bdc3c7', 'border-radius': '8px', 'padding': '15px', 'background-color': '#f8f9fa', 'margin-bottom': '20px' }) def create_parameter_controls(): """Create the parameter controls section for indicator configuration.""" return html.Div([ html.H5("📊 Indicator Parameters", style={'color': '#2c3e50', 'margin-bottom': '15px'}), # SMA/EMA Period Controls html.Div([ html.Label("Moving Average Period:", style={'font-weight': 'bold', 'margin-bottom': '5px'}), dcc.Slider( id='ma-period-slider', min=5, max=200, step=5, value=20, marks={i: str(i) for i in [5, 20, 50, 100, 200]}, tooltip={'placement': 'bottom', 'always_visible': True} ) ], style={'margin-bottom': '20px'}), # RSI Period Control html.Div([ html.Label("RSI Period:", style={'font-weight': 'bold', 'margin-bottom': '5px'}), dcc.Slider( id='rsi-period-slider', min=7, max=30, step=1, value=14, marks={i: str(i) for i in [7, 14, 21, 30]}, tooltip={'placement': 'bottom', 'always_visible': True} ) ], style={'margin-bottom': '20px'}), # MACD Parameters html.Div([ html.Label("MACD Parameters:", style={'font-weight': 'bold', 'margin-bottom': '10px'}), html.Div([ html.Div([ html.Label("Fast:", style={'font-size': '12px'}), dcc.Input( id='macd-fast-input', type='number', value=12, min=5, max=50, style={'width': '60px', 'margin-left': '5px'} ) ], style={'display': 'inline-block', 'margin-right': '15px'}), html.Div([ html.Label("Slow:", style={'font-size': '12px'}), dcc.Input( id='macd-slow-input', type='number', value=26, min=10, max=100, style={'width': '60px', 'margin-left': '5px'} ) ], style={'display': 'inline-block', 'margin-right': '15px'}), html.Div([ html.Label("Signal:", style={'font-size': '12px'}), dcc.Input( id='macd-signal-input', type='number', value=9, min=3, max=20, style={'width': '60px', 'margin-left': '5px'} ) ], style={'display': 'inline-block'}) ]) ], style={'margin-bottom': '20px'}), # Bollinger Bands Parameters html.Div([ html.Label("Bollinger Bands:", style={'font-weight': 'bold', 'margin-bottom': '10px'}), html.Div([ html.Div([ html.Label("Period:", style={'font-size': '12px'}), dcc.Input( id='bb-period-input', type='number', value=20, min=5, max=50, style={'width': '60px', 'margin-left': '5px'} ) ], style={'display': 'inline-block', 'margin-right': '15px'}), html.Div([ html.Label("Std Dev:", style={'font-size': '12px'}), dcc.Input( id='bb-stddev-input', type='number', value=2.0, min=1.0, max=3.0, step=0.1, style={'width': '70px', 'margin-left': '5px'} ) ], style={'display': 'inline-block'}) ]) ]) ], style={ 'border': '1px solid #bdc3c7', 'border-radius': '8px', 'padding': '15px', 'background-color': '#f8f9fa', 'margin-bottom': '20px' }) def create_auto_update_control(): """Create the auto-update control section.""" return html.Div([ dcc.Checklist( id='auto-update-checkbox', options=[{'label': ' Auto-update charts', 'value': 'auto'}], value=['auto'], style={'margin-bottom': '10px'} ), html.Div(id='update-status', style={'font-size': '12px', 'color': '#7f8c8d'}) ])