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"""
Control components for forecast parameters
"""
import dash
from dash import dcc, html
import dash_bootstrap_components as dbc
from config.constants import FORECAST_HORIZONS, CONFIDENCE_LEVELS
def create_forecast_controls():
"""
Create forecast parameter controls
Returns:
Dash component
"""
return dbc.Card([
dbc.CardHeader(html.H5("Forecasting Parameters", className="mb-0")),
dbc.CardBody([
# Forecast Horizon Slider
html.Label("Forecast Horizon (Days)", className="fw-bold"),
dcc.Slider(
id='horizon-slider',
min=1,
max=365,
step=1,
value=30,
marks={
1: '1D',
7: '1W',
30: '1M',
90: '3M',
180: '6M',
365: '1Y'
},
tooltip={"placement": "bottom", "always_visible": True},
className='mb-4'
),
# Confidence Levels
html.Label("Confidence Levels", className="fw-bold mt-3"),
dbc.Checklist(
id='confidence-checklist',
options=[
{'label': '80%', 'value': 80},
{'label': '90%', 'value': 90},
{'label': '95%', 'value': 95},
{'label': '99%', 'value': 99},
],
value=[80, 95],
inline=True,
className='mb-4'
),
# Backtesting Section
html.Hr(),
html.Label("Model Performance Validation", className="fw-bold mt-3"),
dbc.Checklist(
id='backtest-enable',
options=[
{'label': ' Enable backtesting (show model performance on historical data)', 'value': 'enabled'}
],
value=[],
className='mb-3'
),
# Backtest Size Slider (only visible when backtest is enabled)
html.Div([
html.Label("Backtest Period (Days)", className="fw-bold"),
html.Small(" - Amount of historical data to use for validation", className="text-muted"),
dcc.Slider(
id='backtest-size-slider',
min=5,
max=180,
step=5,
value=30,
marks={
5: '5D',
30: '1M',
60: '2M',
90: '3M',
180: '6M'
},
tooltip={"placement": "bottom", "always_visible": True},
className='mb-3'
),
], id='backtest-controls', style={'display': 'none'}),
# Generate Button
dbc.Button(
[
html.I(className="fas fa-chart-line me-2"),
"Generate Forecast"
],
id='generate-forecast-btn',
color='primary',
size='lg',
className='w-100 mt-3',
disabled=True
),
# Loading indicator
dcc.Loading(
id="loading-forecast",
type="default",
children=html.Div(id="loading-output")
)
])
], className='mb-4')
def create_model_status_bar(status: str = 'loading'):
"""
Create model status indicator
Args:
status: 'loading', 'ready', 'error'
Returns:
Dash component
"""
if status == 'loading':
return dbc.Alert([
dbc.Spinner(size="sm", className="me-2"),
html.Span("Loading Chronos 2 model...")
], color='info', className='mb-4')
elif status == 'ready':
return dbc.Alert([
html.I(className="fas fa-check-circle me-2"),
html.Span("Model loaded and ready")
], color='success', className='mb-4', dismissable=True)
elif status == 'error':
return dbc.Alert([
html.I(className="fas fa-exclamation-circle me-2"),
html.Span("Failed to load model. Please check logs.")
], color='danger', className='mb-4')
else:
return html.Div()
def create_results_section():
"""
Create the results visualization section
Returns:
Dash component
"""
return dbc.Card([
dbc.CardHeader(html.H5("Forecast Results", className="mb-0")),
dbc.CardBody([
# Chart container
dcc.Graph(
id='forecast-chart',
config=create_chart_config(),
style={'height': '600px'}
),
# Metrics row
html.Div(id='metrics-display', className='mt-4')
])
], className='mb-4', id='results-card', style={'display': 'none'})
def create_chart_config():
"""
Create Plotly chart configuration
Returns:
Configuration dictionary
"""
from config.constants import CHART_CONFIG
return CHART_CONFIG
def create_app_header():
"""
Create application header
Returns:
Dash component
"""
from config.settings import APP_METADATA
return dbc.Navbar(
dbc.Container([
dbc.Row([
dbc.Col([
html.Div([
html.H2(APP_METADATA['title'], className="mb-0 text-white"),
html.P(APP_METADATA['subtitle'], className="mb-0 text-white-50 small")
])
])
], align="center", className="g-0 w-100")
], fluid=True),
color="primary",
dark=True,
className="mb-4"
)
def create_footer():
"""
Create application footer
Returns:
Dash component
"""
from config.settings import APP_METADATA
return html.Footer([
html.Hr(),
dbc.Container([
dbc.Row([
dbc.Col([
html.Div([
html.P([
"Created by ",
html.A([
html.I(className="fab fa-linkedin me-1"),
"Abhay Pratap Singh"
],
href="https://www.linkedin.com/in/mindful-abhay/",
target="_blank",
className="text-primary fw-bold",
style={'textDecoration': 'none'}
)
], className="text-center mb-2"),
html.P([
html.A([
html.I(className="fas fa-coffee me-2"),
"Buy me a coffee"
],
href="https://buymeacoffee.com/abhaypratapsingh",
target="_blank",
className="btn btn-outline-warning btn-sm"
)
], className="text-center mb-2"),
html.P([
f"Version {APP_METADATA['version']}"
], className="text-center text-muted small mb-0")
])
])
])
])
], className="mt-5 mb-3")
def create_progress_indicator(progress: int, message: str = "Processing..."):
"""
Create a progress indicator
Args:
progress: Progress percentage (0-100)
message: Progress message
Returns:
Dash component
"""
return dbc.Card([
dbc.CardBody([
html.H6(message, className="mb-3"),
dbc.Progress(value=progress, striped=True, animated=True)
])
])
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