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app.py
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app.py
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# -*- coding: utf-8 -*-
# Dash imports
import dash
from dash import dcc
import dash_bootstrap_components as dbc
from dash import html
from dash import dash_table
from dash.dependencies import Input, Output, State
import dash_daq as daq
import dash_uploader as du
# Plotly Imports
import plotly.express as px
import plotly.graph_objects as go
# Flask
from flask import Flask, send_from_directory, send_file, redirect
import werkzeug
from flask_caching import Cache
# Misc Library
import sys
import shutil
import os
import io
from zipfile import ZipFile
import urllib.parse
from scipy import integrate
import pandas as pd
import uuid
import numpy as np
import datashader as ds
import json
from collections import defaultdict
import uuid
import base64
import redis
from time import sleep
import requests
from datetime import datetime
from molmass import Formula
from pyteomics import mass
# Project Imports
from utils import _calculate_file_stats
from utils import _get_scan_polarity
from utils import _resolve_map_plot_selection, _get_param_from_url, _spectrum_generator
from utils import MS_precisions
import utils
import download
import ms2
import lcms_map
import tasks
import tasks_conversion
from formula_utils import get_adduct_mass
import xic
from sync import _sychronize_save_state, _sychronize_load_state
import shorturl
from werkzeug.middleware.proxy_fix import ProxyFix
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
# Importing layout for HTML
from layout_misc import EXAMPLE_DASHBOARD, SPECTRUM_DETAILS_MODAL, ADVANCED_VISUALIZATION_MODAL, ADVANCED_IMPORT_MODAL, ADVANCED_REPLAY_MODAL, ADVANCED_USI_MODAL
from layout_misc import UPLOAD_MODAL
from layout_xic_options import ADVANCED_XIC_MODAL
from layout_overlay import OVERLAY_PANEL
from layout_extras import EXTRAS_PANEL
from layout_fastsearch import ADVANCED_LIBRARYSEARCH_MODAL, ADVANCED_LIBRARYSEARCHMASSIVEKB_MODAL
from layout_massql import MASSSPEC_QUERY_PANEL
from layout_sync import SYCHRONIZATION_MODAL
server = Flask(__name__)
app = dash.Dash(__name__, server=server, external_stylesheets=[dbc.themes.BOOTSTRAP])
app.title = 'GNPS - LCMS Browser'
TEMPFOLDER = "./temp"
TEMP_UPLOADFOLDER = "./temp/dash-uploader"
du.configure_upload(app, TEMP_UPLOADFOLDER)
server.wsgi_app = ProxyFix(server.wsgi_app, x_for=1, x_host=1)
# limiter = Limiter(
# server,
# key_func=get_remote_address,
# default_limits=["10000 per hour"]
# )
# Optionally turn on caching
if __name__ == "__main__":
WORKER_UP = False
cache = Cache(app.server, config={
'CACHE_TYPE': "null",
#'CACHE_TYPE': 'filesystem',
'CACHE_DIR': 'temp/flask-cache',
'CACHE_DEFAULT_TIMEOUT': 0,
'CACHE_THRESHOLD': 1000000
})
redis_client = None
else:
WORKER_UP = True
cache = Cache(app.server, config={
#'CACHE_TYPE': "null",
'CACHE_TYPE': 'filesystem',
'CACHE_DIR': 'temp/flask-cache',
'CACHE_DEFAULT_TIMEOUT': 0,
'CACHE_THRESHOLD': 1000000
})
redis_client = redis.Redis(host='gnpslcms-redis', port=6379, db=0)
server = app.server
app.index_string = """<!DOCTYPE html>
<html>
<head>
<script async defer data-website-id="89a8ef56-024b-44d6-9adb-bfad67f55a3d" src="https://analytics.gnps2.org/umami.js"></script>
{%metas%}
<title>{%title%}</title>
{%favicon%}
{%css%}
</head>
<body>
{%app_entry%}
<footer>
{%config%}
{%scripts%}
{%renderer%}
</footer>
</body>
</html>"""
df = pd.DataFrame()
df["rt"] = [1]
df["mz"] = [1]
df["i"] = [1]
cvs = ds.Canvas(plot_width=1, plot_height=1)
agg = cvs.points(df,'rt','mz', agg=ds.sum("i"))
zero_mask = agg.values == 0
agg.values = np.log10(agg.values, where=np.logical_not(zero_mask))
placeholder_map_plot = px.imshow(agg, origin='lower', labels={'color':'Log10(Abundance)'}, title='Heatmap Plot - Please enter a USI or Upload a File', color_continuous_scale="Hot")
placeholder_xic_plot = px.line(df, x="rt", y="mz", title='XIC Plot - Please Enter an m/z value', render_mode="svg")
placeholder_ms2_plot = px.line(df, x="rt", y="mz", title='MS Spectrum Plot - Please select a scan number', render_mode="svg")
MAX_XIC_PLOT_LCMS_FILES = 30
MAX_LCMS_FILES = 500
NAVBAR = dbc.Navbar(
children=[
dbc.NavbarBrand(
html.Img(src="logo.png", width="120px"),
href="https://gnps2.org"
),
dbc.Nav(
[
dbc.NavItem(dbc.NavLink("GNPS LCMS Dashboard - Version 2024-09-17", href="/")),
dbc.NavItem(dbc.NavLink("Documentation", href="https://ccms-ucsd.github.io/GNPSDocumentation/lcms-dashboard/")),
dbc.NavItem(dbc.NavLink("GNPS Datasets", href="https://gnps.ucsd.edu/ProteoSAFe/datasets.jsp#%7B%22query%22%3A%7B%7D%2C%22table_sort_history%22%3A%22createdMillis_dsc%22%2C%22title_input%22%3A%22GNPS%22%7D")),
dbc.NavItem(id="dataset_files_nav"),
],
navbar=True)
],
color="light",
dark=False,
sticky="top",
)
DATASELECTION_CARD = [
dbc.CardHeader([
dbc.Row([
dbc.Col(
html.H5("Data Selection"),
),
dbc.Col(
dbc.Button("Show/Hide",
id="data_selection_show_hide_button",
color="primary", size="sm",
className="mr-1",
style={
"float" : "right"
}
),
)
])
]),
dbc.Collapse(
dbc.CardBody(dbc.Row(
[ ## Left Panel
dbc.Col([
dbc.Row([
dbc.Col(html.H5(children='File Selection')),
dbc.Col(
dbc.Button("Upload Files",
id="advanced_upload_modal_button",
color="info", size="sm",
className="mr-1",
style={
"float" : "right"
}
),
),
]),
html.Hr(),
dbc.InputGroup(
[
dbc.InputGroupText("GNPS USI"),
dbc.Textarea(id='usi', placeholder="Enter GNPS File USI"),
],
className="mb-3",
),
dbc.InputGroup(
[
dbc.InputGroupText("USI View Selection"),
dbc.Select(
id="usi_select",
options=[],
value=""
)
],
className="mb-3",
),
dbc.InputGroup(
[
dbc.InputGroupText("GNPS USI2"),
dbc.Textarea(id='usi2', placeholder="Enter GNPS File USI", value=""),
],
className="mb-3",
),
# Linkouts
dbc.Row([
dbc.Col(
html.Div([dbc.Button("Copy URL Link to this Visualization", color="info", id="copy_link_button", n_clicks=0, size="sm")], className="d-grid gap-2"),
),
dbc.Col(
html.Div([dbc.Button("Copy Short Temporary URL", color="info", id="copy_shortlink_button", n_clicks=0, size="sm")], className="d-grid gap-2"),
),
]),
html.Br(),
dbc.Row([
dbc.Col(
dcc.Loading(
id="network-link-button",
children=[html.Div([html.Div(id="loading-output-232")])],
type="default",
),
),
]),
dbc.InputGroup(
[
dbc.InputGroupText("Comment"),
dbc.Textarea(id='comment', value=""),
],
className="mb-3",
),
html.H5(children='LCMS Viewer Options'),
html.Hr(),
dbc.Row([
dbc.Col(
dbc.Row(
[
dbc.Label("Show MS2 Markers", html_for="show_ms2_markers", width=4.8, style={"width":"160px", "margin-left": "25px"}),
dbc.Col(
daq.ToggleSwitch(
id='show_ms2_markers',
value=True,
size=50,
style={
"marginTop": "4px",
"width": "100px"
}
)
),
],
className="mb-3",
)),
]),
dbc.Row([
dbc.Col(
dbc.Row(
[
dbc.Label("Show USI LCMS Map", html_for="show_lcms_1st_map", width=5.8, style={"width":"160px", "margin-left": "25px"}),
dbc.Col(
daq.ToggleSwitch(
id='show_lcms_1st_map',
value=True,
size=50,
style={
"marginTop": "4px",
"width": "100px"
}
)
),
],
className="mb-3",
)),
dbc.Col(
dbc.Row(
[
dbc.Label("Show USI2 LCMS Map", html_for="show_lcms_2nd_map", width=5.8, style={"width":"160px"}),
dbc.Col(
daq.ToggleSwitch(
id='show_lcms_2nd_map',
value=False,
size=50,
style={
"marginTop": "4px",
"width": "100px"
}
)
),
],
className="mb-3",
)),
]),
dbc.Row([
dbc.Col(
dbc.Row(
[
dbc.Label("Show Filters", html_for="show_filters", width=5.8, style={"width":"160px", "margin-left": "25px"}),
dbc.Col(
daq.ToggleSwitch(
id='show_filters',
value=False,
size=50,
style={
"marginTop": "4px",
"width": "100px"
}
)
),
],
className="mb-3",
)),
dbc.Col(
dbc.Row(
[
dbc.Label("Feature Finding", width=4.8, style={"width":"140px"}),
dcc.Dropdown(
id='feature_finding_type',
options=[
{'label': 'Off', 'value': 'Off'},
{'label': 'Test', 'value': 'Test'},
{'label': 'Trivial', 'value': 'Trivial'},
# {'label': 'TidyMS', 'value': 'TidyMS'},
{'label': 'MZmine2 (Metabolomics)', 'value': 'MZmine2'},
{'label': 'Dinosaur (Proteomics)', 'value': 'Dinosaur'},
{'label': 'MassQL Query', 'value': 'MassQL'},
],
searchable=False,
clearable=False,
value="Off",
style={
"width":"50%"
}
)
],
className="mb-3",
style={"margin-left": "4px"}
)),
]),
dbc.Row([
dbc.Col(
dbc.Row(
[
dbc.Label("Show Overlay", html_for="show_overlay", width=5.8, style={"width":"160px", "margin-left": "25px"}),
dbc.Col(
daq.ToggleSwitch(
id='show_overlay',
value=False,
size=50,
style={
"marginTop": "4px",
"width": "100px"
}
)
),
],
className="mb-3",
)),
dbc.Col(
dbc.Row(
[
dbc.Label("Extras Options", html_for="show_overlay", width=5.8, style={"width":"160px"}),
dbc.Col(
daq.ToggleSwitch(
id='show_extras',
value=False,
size=50,
style={
"marginTop": "4px",
"width": "100px"
}
)
),
],
className="mb-3",
)),
]),
html.H5(children='Loading Status'),
html.Hr(),
dbc.Table([
html.Tbody([
html.Tr([html.Td("File Download/Conversion"),
html.Td(dcc.Loading(
id="loading_file_download",
children=html.H6([dbc.Badge("Ready", color="success", className="ml-1")]),
type="dot"
)
),
html.Td("XIC Drawing"),
html.Td(
dcc.Loading(
id="loading_xic_plot",
children=html.H6([dbc.Badge("Ready", color="success", className="ml-1")]),
type="dot"
)
)]),
html.Tr([html.Td("Heatmap Drawing Left"),
html.Td(dcc.Loading(
id="loading_map_plot",
children=html.H6([dbc.Badge("Ready", color="success", className="ml-1")]),
type="dot"
)
),
html.Td("Heatmap Drawing Right"),
html.Td(
dcc.Loading(
id="loading_map_plot2",
children=html.H6([dbc.Badge("Ready", color="success", className="ml-1")]),
type="dot"
)
)]),
html.Tr([html.Td("TIC Drawing Left"),
html.Td(dcc.Loading(
id="loading_tic_plot",
children=html.H6([dbc.Badge("Ready", color="success", className="ml-1")]),
type="dot"
)
),
html.Td("TIC Drawing Right"),
html.Td(
dcc.Loading(
id="loading_tic_plot2",
children=html.H6([dbc.Badge("Ready", color="success", className="ml-1")]),
type="dot"
)
)])
])
], bordered=True, size="sm")
], className="col-sm"),
## Right Panel
dbc.Col([
dbc.Row([
dbc.Col(html.H5(children='XIC Options')),
dbc.Col(
dbc.Button("Advanced XIC Options",
id="advanced_xic_modal_button",
color="info", size="sm",
className="mr-1",
style={
"float" : "right"
}
),
),
]),
html.Hr(),
dbc.Row([
dbc.Col(
dbc.InputGroup(
[
dbc.InputGroupText("XIC m/z"),
dbc.Input(id='xic_mz', placeholder="Enter m/z to XIC", value=""),
],
className="mb-3",
),
),
dbc.Col(
dbc.InputGroup(
[
dbc.InputGroupText("XIC Formula"),
dbc.Input(id='xic_formula', placeholder="Enter Molecular Formula to XIC", value=""),
],
className="mb-3",
),
)
]),
dbc.Row([
dbc.Col(
dbc.InputGroup(
[
dbc.InputGroupText("Tolerance (Da)"),
dbc.Input(id='xic_tolerance', placeholder="Enter Da Tolerance", value="0.5"),
],
className="mb-3",
),
),
dbc.Col(
dbc.InputGroup(
[
dbc.InputGroupText("Tolerance (ppm)"),
dbc.Input(id='xic_ppm_tolerance', placeholder="Enter Da Tolerance", value="10"),
],
className="mb-3",
),
),
dbc.Col(
dbc.Row(
[
dbc.Label("Tolerance Unit", width=4.8, style={"width":"150px"}),
dcc.Dropdown(
id='xic_tolerance_unit',
options=[
{'label': 'Da', 'value': 'Da'},
{'label': 'ppm', 'value': 'ppm'}
],
searchable=False,
clearable=False,
value="Da",
style={
"width":"40%"
}
)
],
className="mb-3",
)),
]),
dbc.Row([
dbc.Col(
dbc.InputGroup(
[
dbc.InputGroupText("Retention Time View/Integration Limits"),
dbc.Input(id='xic_rt_window', placeholder="Enter RT Window (e.g. 1-2 or 1.5)", value=""),
],
className="mb-3",
),
),
]),
dbc.Row([
dbc.Col(
dbc.Row(
[
dbc.Label("Integration", width=4.8, style={"width":"120px"}),
dcc.Dropdown(
id='xic_integration_type',
options=[
{'label': 'MS1 Sum', 'value': 'MS1SUM'},
{'label': 'AUC', 'value': 'AUC'},
{'label': 'MAXPEAKHEIGHT', 'value': 'MAXPEAKHEIGHT'},
],
searchable=False,
clearable=False,
value="AUC",
style={
"width":"50%"
}
)
],
className="mb-3",
style={"margin-left": "4px"}
)),
dbc.Col(
dbc.Row(
[
dbc.Label("Normalization", html_for="xic_norm", width=4.8, style={"width":"140px"}),
dbc.Col(
daq.ToggleSwitch(
id='xic_norm',
value=False,
size=50,
style={
"marginTop": "4px",
"width": "100px"
}
)
),
],
className="mb-3",
style={"margin-left": "4px"}
)),
dbc.Col(
dbc.Row(
[
dbc.Label("Grouping", width=4.8, style={"width":"120px"}),
dcc.Dropdown(
id='xic_file_grouping',
options=[
{'label': 'By File', 'value': 'FILE'},
{'label': 'By m/z', 'value': 'MZ'},
{'label': 'By Group', 'value': 'GROUP'}
],
searchable=False,
clearable=False,
value="MZ",
style={
"width":"50%"
}
)
],
className="mb-3",
)),
]),
html.H5(children='MS2 Options'),
dbc.Row([
dbc.Col(
dbc.InputGroup(
[
dbc.InputGroupText("MS2 Identifier"),
dbc.Input(id='ms2_identifier', placeholder="Enter Spectrum Identifier"),
],
className="mb-3",
),
),
]),
html.H5(children='TIC Options'),
dbc.Row([
dbc.Col(
dbc.Row(
[
dbc.Label("Option", width=4.8, style={"width":"100px"}),
dcc.Dropdown(
id='tic_option',
options=[
{'label': 'TIC', 'value': 'TIC'},
{'label': 'BPI', 'value': 'BPI'}
],
searchable=False,
clearable=False,
value="TIC",
style={
"width":"60%"
}
)
],
className="mb-3",
style={"margin-left": "4px"}
)
),
dbc.Col(
dbc.Row(
[
dbc.Label("Show Multiple", width=4.8, style={"width":"150px"}),
dbc.Col(
daq.ToggleSwitch(
id='show_multiple_tic',
value=False,
size=50,
style={
"marginTop": "4px",
"width": "100px"
}
)
),
],
className="mb-3",
style={"margin-left": "4px"}
),
),
]),
dbc.Row([
dbc.Col(
html.H5(children='Rendering Options '),
className="col-3"
),
dbc.Col(
dbc.Button("Dark Mode",
id="darkmode_button",
color="dark", size="sm",
className="mr-1",
),
className="col-4"
)
]),
dbc.Row([
dbc.Col(
dcc.Dropdown(
id='image_export_format',
options=[
{'label': 'SVG', 'value': 'svg'},
{'label': 'PNG', 'value': 'png'},
],
searchable=False,
clearable=False,
value="svg",
style={
"width":"150px"
}
)
),
dbc.Col(
dbc.Row(
[
dbc.Label("Style", width=2, style={"width":"150px"}),
dcc.Dropdown(
id='plot_theme',
options=[
{'label': 'plotly_white', 'value': 'plotly_white'},
{'label': 'ggplot2', 'value': 'ggplot2'},
{'label': 'simple_white', 'value': 'simple_white'},
{'label': 'seaborn', 'value': 'seaborn'},
{'label': 'plotly', 'value': 'plotly'},
{'label': 'plotly_dark', 'value': 'plotly_dark'},
{'label': 'presentation', 'value': 'presentation'},
],
searchable=False,
clearable=False,
value="plotly_white",
style={
"width":"60%"
}
)
],
className="mb-3",
)),
]),
html.H5(children='Advanced Panels'),
dbc.Row([
dbc.ButtonGroup([
dbc.Button("Visualization Options", id="advanced_visualization_modal_button"),
dbc.Button("Import Options", id="advanced_import_modal_button"),
])
]),
html.Br(),
dbc.Row([
dbc.ButtonGroup([
dbc.Button("Sync Options", id="sychronization_options_modal_button"),
dbc.Button("Sync Initiate (Follower)", color="success", id="synchronization_begin_button"),
dbc.Button("Sync Terminate (Follower)", color="danger", id="synchronization_stop_button"),
]),
html.Div(id="synchronization_status")
]),
html.Br(),
dbc.Row([
dbc.ButtonGroup([
dbc.Button("Replay Options", id="advanced_replay_modal_button"),
dbc.Button("Replay Advance", color="success", id="replay_forward_button"),
dbc.Button("Replay Rewind", color="danger", id="replay_backward_button"),
]),
])
], className="col-sm")
])
),
id="data_selection_collapse",
is_open=True
),
]
DATASLICE_CARD = [
dbc.CardHeader([
dbc.Row([
dbc.Col(
html.H5("Details Panel"),
),
dbc.Col(
dbc.Button("Clear XIC",
id="xicmz_clear_button",
color="info", size="sm",
className="mr-1",
style={
"float" : "right"
}
),
)
])
]),
dbc.CardBody(
[
html.Br(),
dcc.Loading(
id="loading-20",
children=[dcc.Graph(
id='xic-plot',
figure=placeholder_xic_plot,
config={
'doubleClick': 'reset',
"toImageButtonOptions":{
"format": "svg",
}
}
)],
type="default",
),
dcc.Loading(
id="loading-289",
children=[dcc.Graph(
id='ms2-plot',
figure=placeholder_ms2_plot,
config={
'doubleClick': 'reset'
}
)],
type="default",
),
dbc.ButtonGroup([
dbc.Button("MS Details", color="secondary", id="spectrum_details_modal_button"),
dbc.Button("View Metabolomics USI", color="secondary", id="advanced_usi_modal_button"),
dbc.Button("GNPS Library", color="secondary", id="advanced_librarysearch_modal_button"),
dbc.Button("MassIVE-KB Library", color="secondary", id="advanced_librarysearchmassivekb_modal_button"),
]),
html.Br(),
html.Br(),
dcc.Loading(
id="ms2-plot-buttons",
children=[html.Div([html.Div(id="loading-output-1034")])],
type="default",
),
html.Br(),
html.Br(),
dcc.Loading(
id="xic-heatmap",
children=[html.Div([html.Div(id="loading-output-102")])],
type="default",
),
]
)
]
FEATURE_FINDING_PANEL = [
dbc.CardHeader(html.H5("Feature Finding Options")),
dbc.CardBody(
[
dbc.Row([
dbc.Col(
dbc.InputGroup(
[
dbc.InputGroupText("Precursor PPM Tolerance"),
dbc.Input(id='feature_finding_ppm', placeholder="PPM tolerance for feature finding", value=10),
],
className="mb-3",
)
),
dbc.Col(
dbc.InputGroup(
[
dbc.InputGroupText("MS1 Noise Level"),
dbc.Input(id='feature_finding_noise', placeholder="Noise for feature finding", value=10000),
],
className="mb-3",
)
),
]),
dbc.Row([
dbc.Col(
dbc.InputGroup(
[
dbc.InputGroupText("Min Peak Width (Minutes)"),
dbc.Input(id='feature_finding_min_peak_rt', placeholder="RT Min for feature finding", value=0.05),
],
className="mb-3",
)
),
dbc.Col(
dbc.InputGroup(
[
dbc.InputGroupText("Max Peak Width (Minutes)"),
dbc.Input(id='feature_finding_max_peak_rt', placeholder="RT Max for feature finding", value=1.5),
],
className="mb-3",
)
),
]),
dbc.Row([
dbc.Col(
dbc.InputGroup(
[
dbc.InputGroupText("RT Tolerance (Minutes)"),
dbc.Input(id='feature_finding_rt_tolerance', placeholder="RT Tolerance for Isotopic peaks", value=0.3),
],
className="mb-3",
)
),
]),
dbc.Row([
dbc.Col(
dbc.InputGroup(
[
dbc.Button("Update Feature Finding Interactively", color="primary", className="mr-1", id="run_feature_finding_button"),
],
className="mb-3",
)
),
dbc.Col(
dbc.InputGroup(
[
dcc.Link(dbc.Button("Run Feature Finding at GNPS with Parameters (Super Beta)", color="primary", className="mr-1"), href="https://proteomics2.ucsd.edu/ProteoSAFe/index.jsp?params={%22workflow%22:%22LC_MZMINE2%22,%22workflow_version%22:%22current%22}", target="_blank", id="run-gnps-mzmine-link")
],
className="mb-3",
)
),
]),
]
)
]
USI1_FILTERING_PANEL = [
dbc.CardHeader(html.H5("USI Scan Filtering Options")),
dbc.CardBody(
[
dbc.Row([
dbc.Col(
dbc.Row(
[
dbc.Label("Polarity Filtering", width=4.8, style={"width":"160px", "margin-left": "25px"}),
dcc.Dropdown(
id='polarity_filtering',
options=[
{'label': 'None', 'value': 'None'},
{'label': 'Positive', 'value': 'Positive'},
{'label': 'Negative', 'value': 'Negative'}
],
searchable=False,
clearable=False,
value="None",
style={
"width":"60%"
}
)
],
className="mb-3",
)),
dbc.Col(
),
]),
]
)
]
USI2_FILTERING_PANEL = [
dbc.CardHeader(html.H5("USI2 Scan Filtering Options")),
dbc.CardBody(
[
dbc.Row([
dbc.Col(
dbc.Row(
[
dbc.Label("Polarity Filtering", width=4.8, style={"width":"160px", "margin-left": "25px"}),
dcc.Dropdown(
id='polarity_filtering2',
options=[
{'label': 'None', 'value': 'None'},
{'label': 'Positive', 'value': 'Positive'},
{'label': 'Negative', 'value': 'Negative'}
],
searchable=False,
clearable=False,
value="None",
style={
"width":"60%"
}
)
],
className="mb-3",
)),
dbc.Col(
),
]),
]
)
]
DEBUG_CARD = [
dbc.CardHeader(html.H5("DEBUG Panel")),
dbc.CardBody(
[
dcc.Loading(
id="download-link",
children=[html.Div([html.Div(id="loading-output-1")])],
type="default",
),
dcc.Loading(
id="debug-output",
children=[html.Div([html.Div(id="loading-output-2")])],
type="default",
),
dcc.Loading(
id="debug-output-2",
children=[html.Div([html.Div(id="loading-output-16")])],
type="default",
),
dcc.Loading(
id="debug-output-3",
children=[html.Div([html.Div(id="loading-output-23123")])],