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widgets.py
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widgets.py
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from datetime import datetime
from typing import Dict, List
import json
import ipyvuetify as v
import ipywidgets as ipw
import plotly.graph_objects as go
from plotly.subplots import make_subplots
v.theme.dark = True
def new_factory(news: List[Dict]) -> v.Html:
children = []
for new in news:
date = datetime.fromtimestamp(new['providerPublishTime'])
btn = v.Btn(
small=True,
text=True,
block=True,
children=['Open'],
href=new['link'],
target='_blank',
)
card = v.Card(
outlined=True,
children=[
v.CardTitle(
children=[new['title']],
style_='font-size: 1.1rem',
),
v.CardSubtitle(
children=[
f'{new["publisher"]} ({date.strftime("%m/%d/%Y, %H:%M")})'
]
),
v.CardActions(children=[btn]),
],
)
children.append(card)
return v.Html(tag='div', class_='d-flex flex-column', children=children)
def financial_info_factory(data: List[Dict], logo_url: str = None) -> v.Html:
children = []
if logo_url is not None:
logo = v.Card(
outlined=True,
class_='ma-1',
children=[v.Img(src=logo_url, height='100px', contain=True)],
style_='width: calc(14.28% - 8px); min-width: 150px',
)
children.append(logo)
for item in data:
card = v.Card(
outlined=True,
class_='ma-1',
children=[
v.CardTitle(
primary_title=True,
children=[item['title']],
style_='font-size: 18px; color: #51ef98',
),
v.CardText(children=[str(item['value'])]),
],
style_='width: calc(14.28% - 8px); min-width: 150px',
)
children.append(card)
return v.Html(
tag='div',
class_='d-flex flex-row',
children=children,
style_='flex-wrap: wrap',
)
def price_chart_factory(df: List, ticker: str = '') -> ipw.Widget:
# Create figure with secondary y-axis
fig = make_subplots(specs=[[{'secondary_y': True}]])
# include candlestick with rangeselector
fig.add_trace(
go.Candlestick(
x=df.index,
open=df['Open'],
high=df['High'],
low=df['Low'],
close=df['Close'],
name='OHLC',
),
secondary_y=True,
)
fig.add_trace(
go.Bar(
x=df.index,
y=df['Volume'],
marker_color='rgba(91, 91, 91, 0.73)',
name='Volume',
),
secondary_y=False,
)
fig.layout.yaxis2.showgrid = False
fig.update_layout(
autosize=True,
xaxis_rangeslider_visible=False,
template='plotly_dark',
title={
'text': f'{ticker.upper()} PRICE CHART',
'xanchor': 'center',
'yanchor': 'top',
'x': 0.5,
},
)
widget = go.FigureWidget(fig, layout=ipw.Layout(height='100%'))
return widget
def price_history_factory(df: List, ticker: str = '') -> ipw.Widget:
# include candlestick with rangeselector
widget = go.FigureWidget(go.Scatter(x=df.index, y=df['Close']))
widget.update_layout(
autosize=True,
template='plotly_dark',
title={
'text': f'{ticker.upper()} PRICE HISTORY',
'xanchor': 'center',
'yanchor': 'top',
'x': 0.5,
},
)
return widget
def text_widget(title: str, text: str) -> ipw.Widget:
return v.Card(
outlined=True,
children=[
v.CardTitle(
children=[title],
style_='font-size: 1.1rem',
),
v.CardText(children=[text]),
],
)
def balance_sheet_factory(df) -> ipw.Widget:
items = []
for i in range(df.shape[0]):
row = df.iloc[i]
item = {'name': row.name}
item.update(json.loads(row.to_json()))
items.append(item)
titles = [x for x in items[0].keys() if x != 'name']
headers = [
{
'text': 'Property',
'align': 'start',
'sortable': False,
'value': 'name',
}
]
for title in titles:
date = datetime.fromtimestamp(int(title) / 1000)
header = {'text': date.strftime('%m/%d/%Y, %H:%M'), 'value': title}
headers.append(header)
return v.DataTable(
headers=headers,
items=items,
)
def analysis_factory(df) -> ipw.Widget:
items = []
for i in range(df.shape[0]):
row = df.iloc[i]
item = {'name': row.name}
item.update(json.loads(row.to_json()))
items.append(item)
titles = [x for x in items[0].keys() if x != 'name']
headers = [
{
'text': 'Property',
'align': 'start',
'sortable': False,
'value': 'name',
}
]
for title in titles:
header = {'text': title, 'value': title}
headers.append(header)
return v.DataTable(
headers=headers,
items=items,
)