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Commit d2437178 authored by Suireen's avatar Suireen
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Ladebildschirm und Graph rechts von der Eingabe, 'Show Info' großgeschrieben

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assets/json_text.json
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{"nodes": [], "links": []}
\ No newline at end of file
{"nodes": [{"doi": "https://doi.org/10.1021/acs.jcim.5b00332", "name": "Feasibility of Active Machine Learning for Multiclass Compound Classification", "author": ["Tobias Lang", "Florian Flachsenberg", "Ulrike von Luxburg", "Matthias Rarey"], "year": "January 7, 2016", "journal": "Journal of Chemical Information and Modeling", "group": "Input", "depth": 0, "citations": 31}, {"doi": "https://doi.org/10.1021/acs.jmedchem.1c01683", "name": "Active Learning for Drug Design: A Case Study on the Plasma Exposure of Orally Administered Drugs", "author": ["Xiaoyu Ding", "Rongrong Cui", "Jie Yu", "Tiantian Liu", "Tingfei Zhu", "Dingyan Wang", "Jie Chang", "Zisheng Fan", "Xiaomeng Liu", "Kaixian Chen", "Hualiang Jiang", "Xutong Li", "Xiaomin Luo", "Mingyue Zheng"], "year": "November 15, 2021", "journal": "Journal of Medicinal Chemistry", "group": "Citedby", "depth": 1, "citations": 0}, {"doi": "https://doi.org/10.1021/acs.chemrev.8b00728", "name": "Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery", "author": ["Xin Yang", "Yifei Wang", "Ryan Byrne", "Gisbert Schneider", "Shengyong Yang"], "year": "July 11, 2019", "journal": "Chem. Rev.", "group": "Citedby", "depth": 1, "citations": 98}, {"doi": "https://doi.org/10.1021/acs.jcim.8b00626", "name": "De Novo Molecule Design by Translating from Reduced Graphs to SMILES", "author": ["Peter Pog\u00e1ny", "Navot Arad", "Sam Genway", "Stephen D. Pickett"], "year": "December 11, 2018", "journal": "Journal of Chemical Information and Modeling", "group": "Citedby", "depth": 1, "citations": 24}, {"doi": "https://doi.org/10.1021/acscentsci.8b00176", "name": "Designing Algorithms To Aid Discovery by Chemical Robots", "author": ["Alon B. Henson", "Piotr S. Gromski", "Leroy Cronin"], "year": "July 3, 2018", "journal": "ACS Cent. Sci.", "group": "Citedby", "depth": 1, "citations": 46}, {"doi": "https://doi.org/10.1021/acs.jcim.7b00729", "name": "Modeling Kinase Inhibition Using Highly Confident Data Sets", "author": ["Sorin Avram", "Alina Bora", "Liliana Halip", "Ramona Curp\u0103n"], "year": "April 30, 2018", "journal": "Journal of Chemical Information and Modeling", "group": "Citedby", "depth": 1, "citations": 8}, {"doi": "https://doi.org/10.1021/acs.jcim.5b00646", "name": "Predictive Models for Fast and Effective Profiling of Kinase Inhibitors", "author": ["Alina Bora", "Sorin Avram", "Ionel Ciucanu", "Marius Raica", "Stefana Avram"], "year": "April 11, 2016", "journal": "Journal of Chemical Information and Modeling", "group": "Citedby", "depth": 1, "citations": 14}, {"doi": "https://doi.org/10.1021/acs.jcim.6b00709", "name": "Matched Molecular Series: Measuring SAR Similarity", "author": ["Emanuel S. R. Ehmki", "Christian Kramer"], "year": "May 1, 2017", "journal": "Journal of Chemical Information and Modeling", "group": "Input", "depth": 0, "citations": 5}, {"doi": "https://doi.org/10.1021/acs.jcim.0c00269", "name": "Matched Molecular Series Analysis for ADME Property Prediction", "author": ["Mahendra Awale", "Sereina Riniker", "Christian Kramer"], "year": "May 5, 2020", "journal": "Journal of Chemical Information and Modeling", "group": "Citedby", "depth": 1, "citations": 6}], "links": [{"source": "https://doi.org/10.1021/acs.jmedchem.1c01683", "target": "https://doi.org/10.1021/acs.jcim.5b00332"}, {"source": "https://doi.org/10.1021/acs.chemrev.8b00728", "target": "https://doi.org/10.1021/acs.jcim.5b00332"}, {"source": "https://doi.org/10.1021/acs.jcim.8b00626", "target": "https://doi.org/10.1021/acs.jcim.5b00332"}, {"source": "https://doi.org/10.1021/acscentsci.8b00176", "target": "https://doi.org/10.1021/acs.jcim.5b00332"}, {"source": "https://doi.org/10.1021/acs.jcim.7b00729", "target": "https://doi.org/10.1021/acs.jcim.5b00332"}, {"source": "https://doi.org/10.1021/acs.jcim.5b00646", "target": "https://doi.org/10.1021/acs.jcim.5b00332"}, {"source": "https://doi.org/10.1021/acs.jcim.0c00269", "target": "https://doi.org/10.1021/acs.jcim.6b00709"}, {"source": "https://doi.org/10.1021/acs.chemrev.8b00728", "target": "https://doi.org/10.1021/acs.jcim.8b00626"}, {"source": "https://doi.org/10.1021/acs.jcim.7b00729", "target": "https://doi.org/10.1021/acs.jcim.5b00646"}]}
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citation_parser_ui.py
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− 14
View file @ d2437178
......@@ -10,9 +10,9 @@ from dash.exceptions import PreventUpdate
from input.interface import InputInterface
import input.publication
from verarbeitung.process_main import Processing
from dash.dependencies import Input, Output, State #Loading Bar
from dash.dependencies import Input, Output, State
import plotly.express as px
import dash_bootstrap_components as dbc # pip install dash-bootstrap-components for Loading Bar
import dash_bootstrap_components as dbc # pip install dash-bootstrap-components
......@@ -28,9 +28,10 @@ boxcontent = f.read()
f.close()
app.layout = html.Div([
html.Div(children=[
# Layer 0: For the Header and Help Function(s)
dbc.Button(
'show Info',
'Show Info',
id='collapse-button',
className="me-1",
color="primary",
......@@ -43,7 +44,7 @@ app.layout = html.Div([
),
# Layer 1: For the string input
html.Div([
dbc.Spinner(html.Div([
"Input: ",
# A simple box for inputting a string.
# Value is transmitted upon pressing return or clicking out of the box.
......@@ -51,7 +52,7 @@ app.layout = html.Div([
style={ "width": "400px"},
),
]),
]),size="lg", color="primary", type="border", fullscreen=True,),
# Layer 2: For file input and recursion depths
html.Div([
"Cited-by Depth: ",
......@@ -65,7 +66,7 @@ app.layout = html.Div([
style={"width": "50px"},
),
# Upload box. Can be used via drag-and-drop or byclicking on it to open a file viewer.
dcc.Upload(
dbc.Spinner(dcc.Upload(
id="file-input",
children=html.Div(
#Drag and drop or click to select a file to upload
......@@ -79,7 +80,7 @@ app.layout = html.Div([
"borderRadius": "5px",
"textAlign": "center",
"margin": "10px",
})
}),size="lg", color="primary", type="border", fullscreen=True,),
]),
# Layer 3: For the checklist, Remove-/Start-Buttons and error message
......@@ -91,11 +92,11 @@ app.layout = html.Div([
# Displays error message if 'Smart Input' is active.
html.Div(id='input-err',style={'color':'red'}),
# Clears the entire list.
dbc.Button(id='clear-all-button',children='Clear All', color="primary", className="me-1"),
dbc.Button(id='clear-all-button',children='Clear All', color="primary", className="me-1",style={'display': 'inline-block'}),
# Clear all selected elements.
dbc.Button(id='clear-selected-button',children='Clear Selected', color="primary", className="me-1"),
dbc.Button(id='clear-selected-button',children='Clear Selected', color="primary", className="me-1",style={'display': 'inline-block'}),
# Starts the process that generates a graph.
dbc.Button(id='start-button',children='Generate Graph', color="primary", className="me-1")
dbc.Button(id='start-button',children='Generate Graph', color="primary", className="me-1",style={'display': 'inline-block'})
]),
# Layer 4: For additional Options
html.Div([
......@@ -105,15 +106,20 @@ app.layout = html.Div([
options=[{'label':k,'value':k} for k in additional_options],
value=[])
]),
], style={'padding': 10, 'flex': 0.8}),
html.Div(children=[
# Layer 5: For the Graph and corresponding error messages
html.Div([
dbc.Spinner(html.Div([
html.Div(id='generate-graph-error',style={'color':'red'}),
html.Iframe(
src="assets/index.html",
style={"height": "600px", "width": "100%"},
),
])
])
]),size="lg", color="primary", type="border", fullscreen=True,),
], style={'padding': 10, 'flex': 1.2})
], style={'display': 'flex', 'flex-direction': 'row'})
@app.callback(
Output('input-checklist','options'),
......
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