def get_item_hud(hud_title='LCL FORECAST ANALYSIS', hud_1_0='', hud_1_1='') \
-> Container:
"""
:param hud_title: str top of HUD
:param hud_1_0: str Byline Position 1
:param hud_1_1: str Byline Position 2
:param
hud_1_2: str
:return:
Container: 'item-hud-container'
Row
Container:'item-hud-title-container'
Col
H1: 'hud-title'
Container: 'item-hud-byline-container'
Row
Navbar: item-hud-bar'
NavItem:
H2: 'hud-1-0'
H2: hud-1-1'
Row
Tabs: 'table-tabs-nav'
Tab: 'tab-all
"""
layout = Container(
fluid=True,
id='item-hud-container',
children=[
Row(
Container(
id='item-hud-title-container',
children=[Col(H1(id='hud-title', children=hud_title))])),
Container(
id='item-hud-byline-container',
style=VISIBILITY_HIDDEN,
children=[
Row([
Navbar(id='item-hud-bar',
children=[
NavItem(H2(hud_1_0, id='hud-1-0')),
NavItem(H2(hud_1_1, id='hud-1-1'))
])
]),
Row([
Tabs(
id='table-tabs-nav',
children=[Tab(tab_id='tab-all', label='All')],
)
],
id='item-hub-tabs-row')
]),
Div(id='datasource-1'),
Div(id='datasource-2')
])
return layout
def get_html(self) -> List[ComponentMeta]:
"""Initializes the header dash html
"""
return [
H2(self.content["new-admissions-title"]),
Markdown(self.content["new-admissions-text"]),
Graph(id="new-admissions-graph"),
Table(id="new-admissions-table"),
H2(self.content["admitted-patients-title"]),
Markdown(self.content["admitted-patients-text"]),
Graph(id="admitted-patients-graph"),
Table(id="admitted-patients-table"),
]
def _generate_body(asset_name="", files=[]):
elements = []
elements.append(H2(" ".join(asset_name.split("-")).title()))
df_records = groupby(get_dataframes(files), lambda x: ".".join(x["record_path"].split(".")[:-2]))
for k, recs in df_records.items():
# Header
if k == "period":
continue
elements.append(H3(k))
elements.append(Div(len(recs)))
data = None
if len(recs) == 1:
# Data Vis: Chart or Table
data = recs[0]["data"]
elif len(recs) == 2:
df_num_idx = 0 if _is_series_numeric(recs[0]["data"]["value"]) else 1
df_str_idx = 1 - df_num_idx
df_num = recs[df_num_idx]["data"]
df_str = _reshape_dataframe_narrow_to_wide(recs[df_str_idx]["data"])
join_keys = list(df_num.columns.intersection(df_str.columns))
data = df_str.join(df_num.set_index(join_keys), on=join_keys, how="outer")
if data is not None:
if "value" in data.columns and _is_series_numeric(data["value"]) and "period" in data.columns:
elements.append(_generate_chart(data, asset_name + k))
else:
elements.append(_generate_table(data))
return elements
def create_slide_0() -> Div:
"""Returns overview slide with agenda"""
return dbc.Col([
H2("Agenda"),
H5(Ol([
Li("Bullet Point 1", className="mt-5"),
Li("Bullet Point 2"),
Li("Bullet Point 3"),
Li("Bullet Point 4"),
], className="mt-4 list-spacing"))
], width=12, className="p-5")
def create_slide_1() -> Div:
"""Returns overview slide with agenda"""
return dbc.Col([
H2("Tabs example", className="mb-4"),
dbc.Card([
dbc.CardHeader(
dbc.Tabs([
dbc.Tab(label="Tab 1", tab_id="slide1-tab-1"),
dbc.Tab(label="Tab 2", tab_id="slide1-tab-2"),
dbc.Tab(label="Tab 3", tab_id="slide1-tab-3"),
],
id="slide1-tabs",
card=True,
active_tab="slide1-tab-1")),
dbc.CardBody(Loading(id="slide1-tab-content"), className="mt-2")
]),
],
width=12,
className="p-5")
def generate_layout(headers, reports, models):
"""Generates report table and returns it
headers - texts in headers in format {metric_internal_name: metric_ui_name}
reports - DB data in format [(id, {metric: value})
models - information about models in format [(id, name, type)]"""
if not reports: return Div()
return Div([
H2("Метрики"),
Table(
[Tr(
[Th("Name")] +
[Th(headers[metric]) for metric in reports[0][1]]
)] +
[Tr(
[Td([m[1] for m in models if m[0] == report[0]][0])] +
[Td(round(value,4)) for value in report[1].values()]
)
for report in reports]
)
])
def html_instruction_list(self) -> typing.List:
return [
H1("BET ETF Calculator"),
Ul(
[
Li("Andrei Răduță"),
Li("*****@*****.**"),
Li(
Link(
children="https://github.com/andreiraduta11/bet-etf",
href="https://github.com/andreiraduta11/bet-etf",
)
),
]
),
H2("Instructions:"),
Ol(
[
Li("Set the size of the list of symbols."),
Li("Set the sum you are going to invest."),
Li("Set the specific transaction fee for your grid."),
Li(
[
"Set your current holdings for each symbol ",
I("(no information is stored)."),
]
),
Li(
(
"The buying price is the last price (at the specified "
"time). Feel free to change it."
)
),
Li("Place your orders. The order values should be the same."),
]
),
I(id="symbols_time"),
]
body = Div([
Div([
Div([
H1("Copy & Paste Word Cloud Generator", className='display-4'),
Hr(),
P('This is the copy & paste word cloud generator. Simply copy and paste the text into the box below.'
),
],
className='container')
],
className="jumbotron jumbotron-fluid"),
Div([
Div([
Div('Text Field Wordcloud', className='card-header'),
dcc.Loading(Div([
H2('', className='card-title'),
Div([Img(src='', className='card-img-top', width='100%')],
style={'height': 500}),
],
className='card-body',
id='text-field-wordcloud'),
style={
'paddingTop': 200,
'paddingBottom': 200
},
type='dot'),
Div([
P('This is the text field word cloud generator. Simply copy and paste the text into the box below.'
),
Div([
Div([
def get_html(self) -> List[ComponentMeta]:
"""Initializes the header dash html
"""
today = date.today().strftime(self.content["date-format"])
return [
Container(
className="mt-5",
children=[
H2(self.content["new-admissions-title"]),
Markdown(self.content["new-admissions-text"]),
]
),
Container(fluid=True, children=Graph(id="new_admissions_graph")),
Container([
A(
self.content["download-text"],
id="new_admissions_download",
download="admissions_{}.csv".format(today),
href="",
target="_blank",
className="btn btn-sm btn-info",
),
Div(
children=Button(
"Lock Zoom",
id="new_admissions_lock_zoom",
color="info",
outline=False,
className="btn btn-sm"
),
style={"display": "inline-block", "padding": 10}
),
Div(
className="row justify-content-center",
children=Div(
id="new_admissions_table_container",
className="col-auto",
children=Table(
id="new_admissions_table",
className="table-responsive mx-auto"
),
),
),
]),
Container(
className="mt-5",
children=[
H2(self.content["admitted-patients-title"]),
Markdown(self.content["admitted-patients-text"]),
],
),
Container(fluid=True, children=Graph(id="admitted_patients_graph")),
Container([
A(
self.content["download-text"],
id="admitted_patients_download",
download="census_{}.csv".format(today),
href="",
target="_blank",
className="btn btn-sm btn-info",
),
Div(
children=Button(
"Lock Zoom",
id="admitted_patients_lock_zoom",
color="info",
outline=False,
className="btn btn-sm"
),
style={"display": "inline-block", "padding": 10}
),
Div(
className="row justify-content-center",
children=Div(
id="admitted_patients_table_container",
className="col-auto",
children=Table(
id="admitted_patients_table",
className="table-responsive"
),
),
),
]),
Container(
className="mt-5",
children=[
H2(self.content["SIR-title"]),
Markdown(self.content["SIR-text"]),
],
),
Container(fluid=True, children=Graph(id="SIR_graph")),
Container([
A(
self.content["download-text"],
id="SIR_download",
download="SIR_{}.csv".format(today),
href="",
target="_blank",
className="btn btn-sm btn-info my-4",
),
Div(
children=Button(
"Lock Zoom",
id="SIR_lock_zoom",
color="info",
outline=False,
className="btn btn-sm"
),
style={"display": "inline-block", "padding": 10}
),
Div(
className="row justify-content-center",
children=Div(
id="SIR_table_container",
className="col-auto",
children=Table(
id="SIR_table",
className="table-responsive"
),
),
),
])
]
def make_word_cloud(imagemaskurl, relative_scaling, nwords, text, title,
customstopwords, width, height, color, colormap, maxfont,
minfont, scale):
if imagemaskurl is not None and imagemaskurl != '':
# imgstr = re.search(r'base64,(.*)', imagemask).group(1)
try:
if imagemaskurl.startswith('data:image'):
imgstr = re.search(r'base64,(.*)', imagemask).group(1)
b = base64.b64decode(imgstr)
else:
r = requests.get(imagemaskurl)
b = r.content
image_bytes = io.BytesIO(b)
im = Image.open(image_bytes).convert('RGBA')
canvas = Image.new('RGBA', im.size, (255, 255, 255, 255))
canvas.paste(im, mask=im)
mask = np.array(canvas)
width, height = im.size
except:
mask = None
text = 'Invalid Image Mask!'
else:
mask = None
from wordcloud import STOPWORDS
STOPWORDS = list(STOPWORDS)
for word in customstopwords:
STOPWORDS.append(word)
STOPWORDS.append(word + 's')
STOPWORDS.append(word + "'s")
if color == '':
color = None
cloud = WordCloud(width=width, height=height, mask=mask, background_color=color,
stopwords=STOPWORDS, max_words=nwords, colormap=colormap,
max_font_size=maxfont, min_font_size=minfont,
random_state=42, scale=scale, mode='RGBA',
relative_scaling=relative_scaling).generate(text)
try:
coloring = ImageColorGenerator(mask)
cloud.recolor(color_func=coloring)
except:
pass
image = cloud.to_image()
byte_io = io.BytesIO()
image.save(byte_io, 'PNG')
byte_io.seek(0)
data_uri = base64.b64encode(byte_io.getvalue()).decode('utf-8').replace('\n', '')
src = 'data:image/png;base64,{0}'.format(data_uri)
x = np.array(list(cloud.words_.keys()))
y = np.array(list(cloud.words_.values()))
order = np.argsort(y)[::-1]
x = x[order]
y = y[order]
trace = go.Bar(x=x, y=y)
layout = go.Layout(margin=go.Margin(l=10, r=00),
title='Relative frequency of words/bigrams')
fig = go.Figure(data=[trace], layout=layout)
children = [
H2(title, className='card-title'),
Img(src=src, width=image.size[0], height=image.size[1],
style={'maxWidth': '100%', 'height': 'auto',
'margin': '0 auto', 'display': 'block'}),
# Details([
# Summary('View Frequency Plot'),
# dcc.Graph(id='word-freq', figure=fig, config={'displayModeBar': False})
# ])
]
return children
def get_layout(app):
row_0 = Div([
H2("Upload to Database (excel file)", style={'textAlign': 'left'}),
Upload(
id='upload-data',
children=Div(['Drag and Drop or ',
A('Select Files')]),
style={
'width': '100%',
'height': '60px',
'lineHeight': '60px',
'borderWidth': '1px',
'borderStyle': 'dashed',
'borderRadius': '5px',
'textAlign': 'center',
'margin': '10px'
},
# Allow multiple files to be uploaded
multiple=False),
Loading(
id="loading",
children=[Div(id='output-data-upload')],
type="default",
),
])
row_1 = Div([
Div([
H2("Text input", style={'textAlign': 'left'}),
RadioItems(id='radio1',
options=[{
'label': 'Partial match',
'value': 'PMATCH'
}, {
'label': 'Exact match',
'value': 'EMATCH'
}],
value='EMATCH',
labelStyle={
'display': 'inline-block',
}),
Input(id="input1", type="text", placeholder="Query"),
Br(),
Button('Start text search', id='button')
],
className='col-6'),
Div([
H2("Search field", style={'textAlign': 'left'}),
RadioItems(id='radio2',
options=[{
'label': 'Chemical name',
'value': 'NAME'
}, {
'label': 'CAS Number',
'value': 'CAS'
}, {
'label': 'IASO Barcode No.',
'value': 'BAR'
}],
value='NAME',
labelStyle={
'display': 'inline-block',
}),
],
className='col-6')
],
className='row')
row_2 = Div([
Div([
H2("Graphical search type", style={'textAlign': 'left'}),
RadioItems(id='radio3',
options=[{
'label': 'Similarity ',
'value': 'SIM'
}, {
'label': 'Substructural ',
'value': 'SUB'
}, {
'label': 'Exact ',
'value': 'EX'
}],
value='SIM',
labelStyle={
'display': 'inline-block',
}),
DashMarvinJS(id='editor',
marvin_url=app.get_asset_url('mjs/editor.html'),
marvin_width='100%')
],
className='col-6'),
Div([
H2("Search results", style={'textAlign': 'left'}),
DataTable(
id='table',
columns=fields1,
fixed_rows={
'headers': True,
'data': 0
},
row_selectable='single',
style_data={
'whiteSpace': 'normal',
'height': 'auto',
'width': 'auto'
},
style_table={
'overflowY': 'hidden',
'overflowX': 'hidden',
'margin-left': '0px'
},
style_cell={
'textAlign': 'left',
'padding': '5px',
'height': 'auto',
'padding-left': '17px',
'whiteSpace': 'normal',
'minWidth': '10px',
'maxWidth': '150px'
},
style_as_list_view=True,
style_cell_conditional=[
{
'if': {
'column_id': 'Picture'
},
'width': '60%'
},
{
'if': {
'column_id': 'Brutto formula'
},
'width': '10%'
},
{
'if': {
'column_id': 'Chemical name'
},
'width': '15%'
},
{
'if': {
'column_id': 'CAS No.'
},
'width': '10%'
},
],
)
],
className='col-6')
],
className='row')
row_3 = DataTable(
id='table2',
columns=fields2,
fixed_rows={
'headers': True,
'data': 0
},
#row_selectable='single',
editable=True,
row_deletable=True,
style_data={
'whiteSpace': 'normal',
'height': 'auto'
},
style_table={
'maxHeight': '500px',
'overflowY': 'hidden',
'overflowX': 'hidden',
'margin-left': '0px'
},
style_cell={
'textAlign': 'left',
'padding': '10px',
'padding-left': '20px',
'height': 'auto',
'whiteSpace': 'normal',
'minWidth': '120px',
'width': '150px'
},
#style_cell_conditional=[
# {'if': {'column_id': 'Quantity'},
# 'width': '150px'},
# {'if': {'column_id': 'Quantity unit'},
# 'width': '150px'},
#],
style_as_list_view=True)
row_4 = Div([
Button('Add Row', id='addrow', n_clicks=0),
Button('Submit changes', id='submit', n_clicks=0),
ConfirmDialog(
id='confirm',
message=
'All changes will be applied from now! Are you sure you want to continue?',
)
])
layout = Div([
H1("Chemicals Storage", style={'textAlign': 'center'}), row_0,
Hr(), row_1,
Hr(), row_2,
Hr(), row_3,
Hr(), row_4
])
return layout
def create_slide_2() -> Div:
"""Returns overview slide with agenda"""
return dbc.Col([
H2("Plot example", className="mb-4"),
Div(id="slide2-plot"),
], width=12, className="p-5")
def get_html(self) -> List[ComponentMeta]:
"""Initializes the header dash html
"""
today = date.today().strftime(self.content["date-format"])
return [
H2(self.content["new-admissions-title"]),
Markdown(self.content["new-admissions-text"]),
Graph(id="new_admissions_graph"),
A(
self.content["download-text"],
id="new_admissions_download",
download="admissions_{}.csv".format(today),
href="",
target="_blank",
className="btn btn-sm btn-info my-2",
),
Div(
className="row justify-content-center",
children=Div(
id="new_admissions_table_container",
className="col-auto",
children=[
Table(id="new_admissions_table",
className="table-responsive"),
],
),
),
H2(self.content["admitted-patients-title"]),
Markdown(self.content["admitted-patients-text"]),
Graph(id="admitted_patients_graph"),
A(
self.content["download-text"],
id="admitted_patients_download",
download="census_{}.csv".format(today),
href="",
target="_blank",
className="btn btn-sm btn-info my-4",
),
Div(
className="row justify-content-center",
children=Div(
id="admitted_patients_table_container",
className="col-auto",
children=[
Table(id="admitted_patients_table",
className="table-responsive"),
],
),
),
H2(self.content["SIR-title"]),
Markdown(self.content["SIR-text"]),
Graph(id="SIR_graph"),
A(
self.content["download-text"],
id="SIR_download",
download="SIR_{}.csv".format(today),
href="",
target="_blank",
className="btn btn-sm btn-info my-4",
),
Div(
className="row justify-content-center",
children=Div(
id="SIR_table_container",
className="col-auto",
children=[
Table(id="SIR_table", className="table-responsive"),
],
),
),
]