Add support for live intraday data / signals and support caching requests for them server-side

This commit is contained in:
moshferatu 2024-11-12 07:22:32 -08:00
parent cef85d06df
commit f088539163

View File

@ -1,9 +1,10 @@
import dash_bootstrap_components as dbc
from dash import Dash, dcc, html
from dash import Dash, dcc, html, Input, Output
from dash_ag_grid import AgGrid
from dash_bootstrap_templates import load_figure_template
from datetime import datetime
from flask_caching import Cache
from pandas import DataFrame, Series
from typing import Callable, List, Dict
@ -26,6 +27,11 @@ from stylesheets import grid_stylesheet, theme_stylesheet
app = Dash(__name__, external_stylesheets = [theme_stylesheet, grid_stylesheet])
app.title = 'Swing Trading Dashboard'
cache = Cache(app.server, config = {
'CACHE_TYPE': 'SimpleCache',
'CACHE_DEFAULT_TIMEOUT': 60 # Seconds.
})
load_figure_template('lux_dark')
SignalFunction = Callable[[DataFrame], Series]
@ -44,9 +50,7 @@ signal_functions: List[Dict[str, SignalFunction]] = [
{'strategy': 'VIX RSI', 'function': vix_rsi.signals}
]
data = get_daily_data('SPY')
def calculate_signals(days: int = 12) -> DataFrame:
def calculate_signals(data: DataFrame, days: int = 12) -> DataFrame:
signal_data = []
for signal_info in signal_functions:
@ -61,7 +65,7 @@ def calculate_signals(days: int = 12) -> DataFrame:
return DataFrame(signal_data)
def load_chart() -> dict:
def load_chart(data: DataFrame) -> dict:
chart_data = data.tail(180)
candlestick_chart = CandlestickChart(
x = chart_data['Date'],
@ -73,22 +77,45 @@ def load_chart() -> dict:
return figure_with_subplots([[candlestick_chart]])
signal_data = calculate_signals()
@cache.cached(timeout = 60, key_prefix = 'get_daily_data')
def get_cached_data():
return get_daily_data('SPY')
@cache.cached(timeout = 60, key_prefix = 'calculate_signals')
def get_cached_signals():
data = get_cached_data()
return calculate_signals(data)
@cache.cached(timeout = 60, key_prefix = 'load_chart')
def get_cached_chart():
data = get_cached_data()
return load_chart(data)
app.layout = dbc.Container(
[
dcc.Interval(
id = 'refresh-interval',
interval = 60 * 1000, # Milliseconds.
n_intervals = 0
),
dcc.Graph(
id = 'candlestick-chart',
config = {'displayModeBar': False},
figure = load_chart(),
figure = figure_with_subplots([[CandlestickChart(
x = Series(datetime.today()),
opens = Series(),
highs = Series(),
lows = Series(),
closes = Series(),
title = ''
)]])
),
html.Div(
AgGrid(
columnDefs = [
{'field': col, 'flex': 3} if col == 'Strategy' else {'field': col, 'flex': 1, 'cellRenderer': 'SignalRenderer'}
for col in signal_data.columns
],
rowData = signal_data.to_dict(orient = 'records'),
id = 'signal-table',
columnDefs = [{'field': 'Strategy', 'flex': 3}],
rowData = [],
defaultColDef = {'flex': 1, 'sortable': False, 'resizable': False},
dashGridOptions = {'domLayout': 'autoHeight'},
style = {'height': None}
@ -100,5 +127,24 @@ app.layout = dbc.Container(
fluid = True
)
@app.callback(
[
Output('candlestick-chart', 'figure'),
Output('signal-table', 'columnDefs'),
Output('signal-table', 'rowData')
],
Input('refresh-interval', 'n_intervals')
)
def update_dashboard(_):
signal_data = get_cached_signals()
chart_figure = get_cached_chart()
column_defs = [
{'field': col, 'flex': 3} if col == 'Strategy' else {'field': col, 'flex': 1, 'cellRenderer': 'SignalRenderer'}
for col in signal_data.columns
]
return chart_figure, column_defs, signal_data.to_dict(orient = 'records')
if __name__ == '__main__':
app.run_server(debug = False)