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layout.py
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layout.py
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"""
Layout File for the Dashboard of the Python Package DBMS Benchmarker
Copyright (C) 2020 Jascha Jestel
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
import dash
#import dash_core_components as dcc
from dash import dcc
#import dash_html_components as html
from dash import html
#import dash_table
from dash import dash_table
import dash_daq as daq
import uuid
def serve_layout(preview) -> html.Div:
"""
:param preview: The preview DataFrame of all available experiments in result path.
:return: App layout
"""
preview = preview.reset_index().rename(columns={'index': 'code'})
preview['id'] = preview['code']
stores = html.Div([
dcc.Store(id='store_session_id', storage_type='session', data=str(uuid.uuid4())),
dcc.Store(id='store_dashboard_config', storage_type='session', data=dict()),
dcc.Store(id='store_active_graph', storage_type='session', data=[]),
dcc.Store(id='store_favorites', storage_type='local'),
# Wrapping store_loaded_experiment in a loading component causes a loading screen whenever
# store_loaded_experiment is changed.
dcc.Loading(
dcc.Store(id='store_loaded_experiment', storage_type='session', data=-1),
id='loading_experiment',
fullscreen=True,
type='cube'
),
# SIGNALS
dcc.Store(id='signal_add_graph', storage_type='memory'),
dcc.Store(id='signal_update_graphs', storage_type='memory'),
dcc.Store(id='signal_resize', storage_type='memory'),
dcc.Store(id='signal_move', storage_type='memory'),
dcc.Store(id='signal_pre_settings', storage_type='memory'),
dcc.Store(id='signal_update_settings', storage_type='memory'),
dcc.Store(id='signal_delete', storage_type='memory'),
dcc.Store(id='signal_load_favorite', storage_type='memory'),
])
overlay = html.Div(
id='experiment_overlay',
className='side side-right',
children=html.Div(
id='experiment_overlay_content',
children=[
html.H5('Select Experiment'),
dash_table.DataTable(id='table_experiment_preview',
sort_action="native",
row_selectable='single',
style_data={
'whiteSpace': 'normal',
'height': 'auto'
},
style_table={
'maxHeight': '80vh',
'overflowY': 'scroll',
'overflowX': 'scroll'
},
style_header={'padding': '10px'},
style_cell={'textAlign': 'left'},
columns=[{'name': i, 'id': i} for i in preview.columns.drop('id')],
data=preview.to_dict('records'),
),
daq.BooleanSwitch(
on=False,
id='load_predefined_dashboard',
label="Load predefined dashboard",
labelPosition="top",
style=dict(marginTop='30px')
)
])
)
navbar = html.Div(
id='navbar',
children=[
html.Button('Filter', id='btn_toggle_filter'),
html.Div(
id='favorites_container',
children=[
html.Button('Favorites', id='btn_favorites'),
html.Div(
id='favorites_content',
children=[
html.Div(
id='favorites_table',
children=[
dash_table.DataTable(
id='table_favorites',
sort_action="native",
row_selectable='single',
style_data={
'whiteSpace': 'normal',
'height': 'auto',
},
style_table={'overflow': 'auto'},
style_cell={'textAlign': 'left'},
style_header={'padding': '10px'},
columns=[{'name': 'ID', 'id': 'fav_id'},
{'name': 'Experiment Code', 'id': 'code'},
{'name': 'Creation Time', 'id': 't_create'},
{'name': 'Comment', 'id': 'comment'},
{'name': 'Number Graphs', 'id': 'number_graphs'}],
),
html.Button('Load', id='btn_load_favorite',
style=dict(margin='10px 2.5px 10px 0')),
html.Button('Load (append)', id='btn_load_append_favorite',
style=dict(margin='10px 2.5px 10px 2.5px')),
html.Button('Delete', id='btn_remove_favorite',
style=dict(margin='10px 0 10px 2.5px')),
]),
dcc.Input(
id='input_favorite_comment',
autoComplete='off',
type='text',
placeholder='Enter Comment',
style=dict(width='100%', marginTop='10px')),
html.Button('Add current Dashboard',
id='btn_add_favorite',
style=dict(marginTop='10px')),
html.A('Download Favorites',
id='download_favorites',
className='button',
style=dict(display='inline-block', margin='10px 0 0 5px', width='auto'),
download="",
href="",
target="_blank"),
dcc.Upload(
id='upload_favorites',
children=html.Div([
'Upload Favorites - ',
html.A('Select File')
]),
style={
'width': '100%',
'height': '35px',
'lineHeight': '35px',
'border': 'dashed 1px grey',
'borderRadius': '5px',
'textAlign': 'center',
'marginTop': '10px',
},
multiple=False,
max_size=10000,
),
dcc.ConfirmDialog(
id='upload_alert',
message='Please upload JSON file for current experiment.',
),
])
]),
html.Button('Select Experiment', id='btn_toggle_experiment_overlay'),
html.Button('Experiment Info', id='btn_experiment_info'),
html.Button('Activate all', id='btn_activate_all'),
html.Button('Close all active', id='btn_close_all_active'),
html.Button(id='btn_test', style=dict(display='none')),
html.Div(
id='add_graph_container',
children=[
html.Button('Add Graph', id='add_graph_button'),
html.Div(
id='add_graph_content',
children=[
html.Button('Add empty Graph', id='btn_add_empty'),
html.Button('Duplicate Graph', id='btn_duplicate_graph'),
html.Button('Add preset Graph', id='btn_add_preset'),
html.Button('Add Statistics Table', id='btn_add_table'),
html.Button('Investigate Q1', id='btn_add_investigate_q1'),
])
]),
html.Div(
id='div_workflow_name',
style=dict(display='inline')
),
html.Button('Settings', id='btn_toggle_settings', style=dict(float='right', marginRight='20px')),
]
)
filter_side = html.Div(
id='filter_side',
className='sidenav',
children=[
html.Div([
html.H5('DBMS / Connections', id='heading_table_dbms'),
dash_table.DataTable(id='table_dbms',
style_data={
'whiteSpace': 'normal',
'height': 'auto'
},
row_selectable='multi',
style_cell={'textAlign': 'left'},
page_action='none',
style_table={
'maxHeight': '350px',
'overflow': 'scroll',
},
),
html.Div(id='btn_select_all_connections', className='icon-btn'),
html.Div(id='btn_deselect_all_connections', className='icon-btn'),
html.Div(id='btn_connection_info', className='icon-btn'),
html.H5('Filter Connections'),
html.Label("DBMS"),
dcc.Dropdown(
id='dropdown_dbms',
multi=True
),
html.Label("Node"),
dcc.Dropdown(
id='dropdown_node',
multi=True
),
html.Label("Client"),
dcc.Dropdown(
id='dropdown_client',
multi=True
),
html.Label("GPU"),
dcc.Dropdown(
id='dropdown_gpu',
multi=True
),
html.Label("CPU"),
dcc.Dropdown(
id='dropdown_cpu',
multi=True,
),
html.Button('Apply Filter', id='btn_apply_filter'),
]),
html.Div([
html.H5('Queries'),
dash_table.DataTable(id='table_query',
style_data={
'whiteSpace': 'normal',
'height': 'auto'
},
row_selectable='single',
style_cell={'textAlign': 'left'},
# fixed_rows={'headers': True, 'data': 0},
page_action='none',
style_table={
'maxHeight': '300px', # TODO max height
'overflowY': 'scroll',
'overflowX': 'scroll'
},
),
html.Div(id='btn_deselect_query', className='icon-btn'),
html.Div(id='btn_query_info', className='icon-btn'),
])
]
)
settings_side = html.Div(
id='settings_side',
className='sidenav',
children=[
html.Div(
id='parent_radio_preset_graph',
children=[
dcc.RadioItems(
id='radio_preset_graph',
options=[
dict(label='Heatmap Errors', value='heatmap_errors'),
dict(label='Heatmap Warnings', value='heatmap_warnings'),
dict(label='Heatmap Result Set Size', value='heatmap_result_set_size'),
dict(label='Heatmap Total Time', value='heatmap_total_time'),
dict(label='Heatmap Latency Run', value='heatmap_latency_run'),
dict(label='Heatmap Throughput Run', value='heatmap_throughput_run'),
dict(label='Heatmap Timer Run Factor', value='heatmap_timer_run_factor'),
dict(label='Bar Chart Run drill-down', value='barchart_run_drill'),
dict(label='Bar Chart Ingestion Time', value='barchart_ingestion_time')
]
)
]
),
html.Div(
id='div_graph_settings',
children=[
html.H5('Settings', id='heading_settings'),
html.Label('Type', id='label_type'),
dcc.Dropdown(
id='dd_type',
options=[
{'label': x, 'value': x} for x in ['timer', 'latency', 'throughput', 'monitoring']
],
),
html.Label('Name', id='label_name'),
dcc.Dropdown(
id='dd_name',
),
html.Label('Aggregate Run', id='label_query_aggregate'),
dcc.Dropdown(
id='dd_query_aggregate',
options=[
{'label': x, 'value': x} for x in
['factor', 'Mean', 'Std Dev', 'cv [%]', 'Median', 'iqr', 'qcod [%]', 'Min', 'Max', 'Range', 'Geo', '1st', 'Last', 'Sum', 'P25', 'P75', 'P90', 'P95']
],
),
html.Label('Aggregate Query', id='label_total_aggregate'),
dcc.Dropdown(
id='dd_total_aggregate',
options=[
{'label': x, 'value': x} for x in
['factor', 'Mean', 'Std Dev', 'cv [%]', 'Median', 'iqr', 'qcod [%]', 'Min', 'Max', 'Range', 'Geo', '1st', 'Last', 'Sum', 'P95', 'P25', 'P75', 'P90', 'P95']
],
),
html.Label('Aggregate Config', id='label_connection_aggregate'),
dcc.Dropdown(
id='dd_connection_aggregate',
options=[
{'label': x, 'value': x} for x in
['factor', 'Mean', 'Std Dev', 'cv [%]', 'Median', 'iqr', 'qcod [%]', 'Min', 'Max', 'Range', 'Geo', '1st', 'Last', 'Sum', 'P95', 'P25', 'P75', 'P90', 'P95']
],
),
html.Label('Graph Type', id='label_graph_type'),
dcc.Dropdown(
id='dd_graph_type',
options=[{'label': x, 'value': x} for x in
['Heatmap', 'Boxplot', 'Line Chart', 'Histogram', 'Bar Chart',
'Table Measures', 'Table Statistics', 'Preset']]
),
html.Div(
id='div_warmup',
children=[
html.Label('Number of warmup runs', htmlFor='slider_warmup', id='label_slider_warmup'),
dcc.Slider(
id='slider_warmup',
min=0,
max=10,
step=1,
value=0,
marks={x: str(x) for x in range(11)},
)
]
),
html.Div(
id='div_cooldown',
children=[
html.Label('Number of cooldown runs', htmlFor='slider_cooldown', id='label_slider_cooldown'),
dcc.Slider(
id='slider_cooldown',
min=0,
max=10,
step=1,
value=0,
marks={x: str(x) for x in range(11)},
)
]
),
html.Label('X-Axis', id='label_graph_xaxis'),
dcc.Dropdown(
id='dd_graph_xaxis',
options=[{'label': x, 'value': x} for x in ['Query', 'Connection']],
value='Query',
clearable=False
),
html.Label('Color by', id='label_graph_colorby'),
dcc.Dropdown(
id='dd_graph_colorby',
options=[{'label': x, 'value': x} for x in ['DBMS', 'Node', 'Script', 'CPU Limit', 'Client', 'GPU', 'CPU', 'Docker Image', 'Experiment Run']],
),
html.Label('Boxpoints', id='label_boxpoints'),
dcc.Dropdown(
id='dd_boxpoints',
options=[{'label': x.capitalize(), 'value': x} for x in
["False", "all", "outliers", "suspectedoutliers"]],
value="False"
),
html.Label('Sort', id='label_order'),
dcc.Dropdown(
id='dd_order',
options=[{'label': x.capitalize(), 'value': x} for x in
["trace", "category ascending", "category descending", "total ascending",
"total descending", "min ascending", "min descending", "max ascending",
"max descending", "sum ascending", "sum descending", "mean ascending",
"mean descending", "median ascending", "median descending"]],
value='default',
clearable=False
),
dcc.Checklist(
id='checklist_annotate',
options=[
{'label': 'Annotate', 'value': 'annotate'}
],
value=[]
),
html.Div(
id='div_input_gridColumn_all',
children=[
html.Label('Grid Columns: '),
dcc.Input(
id='input_gridColumn_all',
type="number",
className='',
min=3,
max=12,
step=3,
debounce=True,
)
]
),
html.Div(
id='div_input_gridRow_all',
children=[
html.Label('Grid Rows: '),
dcc.Input(
id='input_gridRow_all',
type="number",
className='',
min=1,
max=3,
step=1,
debounce=True,
),
]
),
]),
]
)
graph_grid = html.Div(
id='graph_grid',
children=[]
)
content = html.Div(
id='content',
children=[
filter_side,
settings_side,
graph_grid
])
modal = html.Div(
id='info_modal',
children=[
html.Span(id='span_close_modal', children='x'),
html.Div(
id='info_modal_body',
children=[]
)
]
)
layout = html.Div([
stores,
overlay,
navbar,
content,
modal,
])
return layout