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app.py
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import dash
import dash_bootstrap_components as dbc
from dash import dcc, html
from dash.dependencies import Input, Output, State
from dash_bootstrap_templates import load_figure_template
from plotly import graph_objects as go
import data
import plotting
import utils
dbc_css = "https://cdn.jsdelivr.net/gh/AnnMarieW/[email protected]/dbc.min.css"
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.DARKLY, dbc_css])
app._favicon = "favicon.ico"
app.title = "Spectra Explorer"
load_figure_template(["darkly"])
image_fig = plotting.make_empty_image_plot()
spectra_fig = plotting.make_empty_spectra_fig()
data.del_tmpfile_dir()
@app.callback(Output('uploaded-data', 'data'),
Output('image-channel-dropdown', 'options'),
Output('spectra-x-channel-dropdown', 'options'),
Output('spectra-y-channel-dropdown', 'options'),
Input('uploaded-data', 'data'),
Input('upload-data-box', 'contents'),
State('upload-data-box', 'filename'),
prevent_initial_call=True)
def load_files(resource_data_store, list_of_contents, list_of_names):
if resource_data_store is None:
resource_data_store = data.make_empty_data_store()
# Load in the data from each file into a unified, jsonable dictionary to be stored
for contents, fname in zip(list_of_contents, list_of_names):
resource_data_store = data.add_file_to_datastore(contents, fname, resource_data_store)
# Populate the dropdown menu options
image_channels = utils.makedropdownopts(resource_data_store, "signal_metadata", "img_channels")
spectra_x_channels = utils.makedropdownopts(resource_data_store, "signal_metadata", "spectra_x_channels")
spectra_y_channels = utils.makedropdownopts(resource_data_store, "signal_metadata", "spectra_y_channels")
return resource_data_store, image_channels, spectra_x_channels, spectra_y_channels
@app.callback(Output('fig-image', 'figure'),
Input('uploaded-data', 'data'),
Input('image-channel-dropdown', 'value'),
prevent_initial_call=True)
def update_image_spec_pos_figure(uploaded_data, image_channel):
img_fig = plotting.make_image_spec_position_plot(uploaded_data, image_channel)
return img_fig
# @app.callback(Output("download-spec", "data"),
# Input("btn-download-spec", "n_clicks"),
# State('fig-spectra', 'figure'),
# prevent_initial_call=True)
# def download_spectra_as_json(_, fig_spectra):
# return dict(content=fig_spectra, filename="spectra_data.json")
@app.callback(Output('fig-spectra', 'figure'),
Output('data-clear-spec-btn', 'data'),
Output('data-tabs-btn', 'data'),
State('uploaded-data', 'data'),
Input('spectra-x-channel-dropdown', 'value'),
Input('spectra-y-channel-dropdown', 'value'),
Input('fig-image', 'clickData'),
Input('fig-image', 'selectedData'),
Input('fig-spectra', 'figure'),
Input('btn-clear-spec', 'n_clicks'),
State('data-clear-spec-btn', 'data'),
Input('background-data', 'data'),
Input('tabs-spectra', 'value'),
State('data-tabs-btn', 'data'),
prevent_initial_call=True)
def update_spec_figure(uploaded_data, spectra_x_channel, spectra_y_channels, select_spectra, multi_select_spectra,
old_fig, reset_presses, reset_presses_old, background_spec_data, tab, old_tab):
# Reset if clear spectra button pressed
if utils.is_button_pressed(reset_presses, reset_presses_old):
return plotting.make_empty_spectra_fig(), reset_presses, tab
if (old_fig is None) or (utils.is_button_pressed(tab, old_tab)):
spec_figure = plotting.make_empty_spectra_fig()
else:
spec_figure = go.Figure(old_fig)
# Prevent execution if not enough options selected
all_selections = utils.combine_selection_events((select_spectra, multi_select_spectra))
if not all([all_selections, uploaded_data, spectra_x_channel, spectra_y_channels]):
raise dash.exceptions.PreventUpdate
# Draw the main figure
spec_figure = plotting.make_spectra_fig(uploaded_data, spectra_x_channel, spectra_y_channels,
all_selections, background_spec_data, spec_figure, tab)
return spec_figure, reset_presses, tab
@app.callback(Output('background-data', 'data'),
Output('data-background-spec-btn', 'data'),
State('fig-spectra', 'figure'),
State('spectra-y-channel-dropdown', 'value'),
Input('btn-background-spec', 'n_clicks'),
State('data-background-spec-btn', 'data'),
prevent_initial_call=True)
def set_spectra_as_background(spec_figure, y_channels, reset_presses, reset_presses_old):
if len(spec_figure["data"]) == 0:
raise dash.exceptions.PreventUpdate
if utils.is_button_pressed(reset_presses, reset_presses_old):
out = {}
spec_figure = go.Figure(spec_figure)
out["x"] = spec_figure.data[0]["x"]
for y_channel in y_channels:
for trace in spec_figure.data:
if trace.name == f"Mean ({y_channel})":
out[y_channel] = trace["y"]
return out, reset_presses
else:
return None, reset_presses
fig_layout = html.Div([
html.Hr(),
html.Div(dcc.Upload(
id='upload-data-box',
multiple=True,
children=html.Div([
'Drag and Drop or ',
html.A('Select Files.'),
' (Formats Supported: *.sxm, *.dat, *.3ds, *.XX_mtrx)']),
style={
'width': '1888px',
'height': '60px',
'lineHeight': '60px',
'borderWidth': '1px',
'borderStyle': 'dashed',
'borderRadius': '5px',
'textAlign': 'center'
})),
html.Hr(),
html.Div([
dcc.Markdown("**Image Channel:**",
style={'width': '640px',
"text-align": "center",
'display': 'inline-block'}),
dcc.Markdown("**Spectra Channels:**",
style={'width': '700px',
"text-align": "center",
'display': 'inline-block'}),
dcc.Markdown("**Data Controls:**",
style={'width': '200px',
"margin-left": "210px",
"text-align": "center",
'display': 'inline-block'}),
dcc.Dropdown(id="image-channel-dropdown",
placeholder="Image Channel",
style={'width': '640px',
"margin-right": "25px",
'display': 'inline-block'}),
dcc.Dropdown(id="spectra-x-channel-dropdown",
placeholder="Spectra Channel (x)",
multi=False,
style={'width': '300px',
'display': 'inline-block'}),
dcc.Dropdown(id="spectra-y-channel-dropdown",
placeholder="Spectra Channel (y)",
multi=True,
style={'width': '300px',
'display': 'inline-block'}),
dbc.Button("Set as Background", id="btn-background-spec",
size="sm",
color="secondary",
style={'width': "150px",
'height': "36px",
"position": "relative", "bottom": "14px", # This is misaligned for some reason.
'display': 'inline-block'}),
dbc.Button("Clear Spectra", id="btn-clear-spec",
size="sm",
style={'width': "150px",
'height': "36px",
"margin-left": "85px",
"position": "relative", "bottom": "14px", # This is misaligned for some reason.
'display': 'inline-block'}),
dbc.Button("Clear All", id="btn-clear-all",
href="/",
external_link=True,
size="sm",
style={'width': "150px",
'height': "36px",
"position": "relative", "bottom": "14px", # This is misaligned for some reason.
'display': 'inline-block'}),
# dbc.Button("Download Spectra", id="btn-download-spec",
# size="sm",
# style={'width': "150px",
# 'height': "36px",
# "position": "relative", "bottom": "14px", # This is misaligned for some reason.
# 'display': 'inline-block'}),
]
),
html.Hr(),
html.Div([
dbc.Row([
dbc.Col(
children=[dcc.Graph(
id='fig-image',
figure=image_fig,
style={'height': '550px',
'width': '640px',
"margin-top": '50px',
'display': 'inline-block'},
config={"modeBarButtonsToRemove": ["toImage"]})],
width=4),
dbc.Col(children=[
dcc.Tabs(id="tabs-spectra", value='orig', children=[
dcc.Tab(label='Integrate', value='integrate'),
dcc.Tab(label='Original', value='orig'),
dcc.Tab(label='Derivative', value='diff'),
dcc.Tab(label='Double Derivative', value='double-diff')],
style={'height': '50px',
'width': '1265px',
'text-align': 'center',
'vertical-align': 'middle',
'line-height': '25px'}),
dcc.Graph(
id='fig-spectra',
figure=spectra_fig,
style={'height': '550px',
'width': '1265px',
'display': 'inline-block'},
config={"modeBarButtonsToRemove": ["toImage"],
'showEditInChartStudio': True,
'editable': False,
"plotlyServerURL": "https://chart-studio.plotly.com"})
],
width=8
)
], justify="evenly", className="g-0"),
])
])
datastore_layout = html.Div([dcc.Store(id='uploaded-data'), # storage_type='session'
dcc.Store(id='background-data'),
dcc.Store(id='data-background-spec-btn'),
dcc.Store(id='data-clear-spec-btn'),
dcc.Store(id='data-clear-all-btn'),
dcc.Store(id='data-tabs-btn'),
dcc.Download(id="download-spec")])
attribution_layout = html.Div(children=[
html.A('💝 Made by Oliver Gordon for the University of Nottingham Nanoscience Group (2022). ',
id="author-attribution",
style={"color": "#AAAAAA"}
),
html.A('Assess favicon created by Anggara - Flaticon',
id="favicon-attribution",
href="https://www.flaticon.com/free-icons/assess",
style={"margin-left": "5px",
"color": "#AAAAAA"}
)],
style={"width": "1800px"})
app.layout = dbc.Container(
[fig_layout,
datastore_layout,
html.Hr(),
attribution_layout],
fluid=True,
className="dbc"
)
if __name__ == '__main__':
app.run_server(debug=True)