-
Notifications
You must be signed in to change notification settings - Fork 0
/
app.py
195 lines (161 loc) · 5.21 KB
/
app.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
from dash.dependencies import Input, Output
from price_scraper import Company
from tickers_scraper import get_tickers
#from news_scraper import get_cnbc_news
import datetime
import json
import os
from flask import send_from_directory
app = dash.Dash(__name__)
server = app.server
# Serve static files from external url
app.css.append_css({"external_url": "https://codepen.io/jaguirre/pen/NLNqom.css"})
# Serving them locally
"""
app.scripts.config.serve_locally = True
app.css.config.serve_locally = True
appDir = os.path.dirname(os.path.realpath(__file__))
# include static files (css and js)
@app.server.route('/static/<path:path>')
def static_file(path):
static_folder = os.path.join(appDir, 'static')
return send_from_directory(static_folder, path)
"""
# get list of tickers and names for S&P 500
tickers_and_names = get_tickers()
app.layout = html.Div([
# stylesheets and general head
html.Link(href='/static/style.css', rel='stylesheet'),
# Fonts
html.Link(href="https://fonts.googleapis.com/css?family=Roboto", rel="stylesheet"),
# html.Script(src='/static/javascript.js'),
html.H1('Test dashboard', className='title'),
html.Div([
dcc.Dropdown(
id='select-ticker',
options=[{'label': k, 'value': v} for k, v in tickers_and_names.items()],
placeholder='Select a company'
),
html.Div(id='company-data-json',
hidden=True),
dcc.DatePickerRange(
id='date-picker',
min_date_allowed=datetime.date(2008, 1, 1),
max_date_allowed=datetime.datetime.today().date(),
initial_visible_month=datetime.datetime.today().date(),
start_date=datetime.date(2018, 1, 1),
end_date=datetime.datetime.today().date(),
)
],
className='options'
),
html.Div(children=[
html.Div(className='company-item', children=[
html.P('Price to Book'),
html.Div(id='price-book')
]
),
html.Div(className='company-item', children=[
html.P('Price to Earnings (trailing)'),
html.Div(id='pe-trailing')
]
),
html.Div(className='company-item', children=[
html.P('EV to EBITDA'),
html.Div(id='ev-ebitda')
]
),
html.Div(className='company-item', children=[
html.P('PE to growth ratio'),
html.Div(id='peg')
]
),
html.Div(className='company-item', children=[
html.P('Debt to Equity'),
html.Div(id='debt-equity')
]
),
],
className='company-data'
),
html.Div(children=[
dcc.Graph(id='price-chart'),
],
className='chart'
),
html.P(
id='summary'
)
],
className='main-wrapper'
)
@app.callback(Output('company-data-json', 'children'),
[Input('select-ticker', 'value')])
def get_company_data(ticker):
company = Company(ticker)
data = company.data
data.pop('scrape_date')
return json.dumps(data)
@app.callback(Output('summary', 'children'),
[Input('company-data-json', 'children')])
def update_summary(data):
data_dict = json.loads(data)
return data_dict['summary']
@app.callback(Output('price-book', 'children'),
[Input('company-data-json', 'children')])
def update_price_book(data):
data_dict = json.loads(data)
return round(data_dict['price_book'], 2)
@app.callback(Output('debt-equity', 'children'),
[Input('company-data-json', 'children')])
def update_debt_equity(data):
data_dict = json.loads(data)
return data_dict['debt_to_equity']
@app.callback(Output('peg', 'children'),
[Input('company-data-json', 'children')])
def update_peg(data):
data_dict = json.loads(data)
return data_dict['peg']
@app.callback(Output('ev-ebitda', 'children'),
[Input('company-data-json', 'children')])
def update_ev_ebitda(data):
data_dict = json.loads(data)
return round(data_dict['ev_ebitda'], 2)
@app.callback(Output('pe-trailing', 'children'),
[Input('company-data-json', 'children')])
def update_pe_trailing(data):
data_dict = json.loads(data)
return round(data_dict['price'] / data_dict['eps_t'], 2)
@app.callback(Output('price-chart', 'figure'),
[Input('select-ticker', 'value'),
Input('date-picker', 'start_date'),
Input('date-picker', 'end_date')])
def price_chart(ticker, start_date, end_date, size=(600, 800)):
# get prices
company = Company(ticker)
df = company.get_price(start_date, end_date)
trace = go.Candlestick(
x=df.index,
open=df['Open'],
close=df['Close'],
high=df['High'],
low=df['Low'],
)
data = [trace]
layout = go.Layout(
height=size[0],
width=size[1],
xaxis=dict(
rangeslider=dict(
visible=False
)
)
)
fig = go.Figure(data=data, layout=layout)
return fig
if __name__ == '__main__':
app.run_server(debug=True)