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tkimhofertkimhofer
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Update app.py
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‎app.py‎

Lines changed: 112 additions & 105 deletions
Original file line numberDiff line numberDiff line change
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from dash import Dash, html, dcc, callback, dash_table
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from dash import Dash, html, dcc, dash_table
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from dash.dependencies import Input, Output, State
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import plotly.express as px
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import pandas as pd
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import dash_mantine_components as dmc
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# import plotly.express as px
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import pandas as pd
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from scr import conv
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import logging as l
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from flask import Flask
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import datetime as dt
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import logging
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logger = l.getLogger('ct')
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logger.setLevel(l.DEBUG)
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ch = l.StreamHandler()
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ch.setLevel(l.DEBUG)
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formatter = l.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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# ---------------- Logging Setup ----------------
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logger = logging.getLogger('ct')
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logger.setLevel(logging.DEBUG)
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ch = logging.StreamHandler()
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ch.setLevel(logging.DEBUG)
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formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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ch.setFormatter(formatter)
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logger.addHandler(ch)
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# ---------------- Flask/Dash Setup ----------------
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server = Flask(__name__)
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external_stylesheets = ['https://fonts.googleapis.com/css2?family=Play&display=swap']
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server = Flask(__name__) # define flask app.server
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# app = Dash(__name__, server=server)
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external_stylesheets = [
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# "https://fonts.googleapis.com/css2?family=Press+Start+2P&display=swap",
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# 'https://fonts.googleapis.com/css2?family=Freehand&display=swap',
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'https://fonts.googleapis.com/css2?family=Play&display=swap'
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]
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# external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
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app = Dash(__name__, external_stylesheets=external_stylesheets, server=server, suppress_callback_exceptions=True)
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app.title='MS-FP'
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app = Dash(
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__name__,
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external_stylesheets=external_stylesheets,
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server=server,
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suppress_callback_exceptions=True
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)
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app.title = 'MS-FP'
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app.layout = dmc.MantineProvider(
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children = [
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html.Div(children=[
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html.H1(children='MS file parser', style={"font-family": "'Play'"}),
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html.Div(#dmc.Container([
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dmc.Group(children=[
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# ---------------- App Layout ----------------
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app.layout = dmc.MantineProvider([
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html.Div([
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html.H1('MS file parser', style={"font-family": "'Play'"}),
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dmc.Group([
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dmc.Chips(
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id="vartype",
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data=[
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{"value": "Conc.", "label": "Concentration"},
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{"value": "Response", "label": "Response",},
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{"value": "Area", "label": "Area",}
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{"value": "Response", "label": "Response"},
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{"value": "Area", "label": "Area"}
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],
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value="Conc.",
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value="Conc."
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),
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dmc.Space(h=10),
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dmc.Checkbox(
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id="includeIS",
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label="include internal Stds",
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)
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], position='left')
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),
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dmc.Space(h=10),
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dmc.Checkbox(id="includeIS", label="Include internal Stds")
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], position='left'),
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dmc.Space(h=10),
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dcc.Upload(id='upload-data', children=['Drag and Drop or ', html.A('Select a File')], style={
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'width': '100%',
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'height': '60px',
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'lineHeight': '60px',
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'borderWidth': '1px',
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'borderStyle': 'dashed',
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'borderRadius': '5px',
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'textAlign': 'center'
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}, multiple=True),
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# html.Button("Download CSV", id="btn_csv"),
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dcc.Upload(
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id='upload-data',
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children=['Drag and Drop or ', html.A('Select a File')],
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style={
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'width': '100%', 'height': '60px', 'lineHeight': '60px',
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'borderWidth': '1px', 'borderStyle': 'dashed',
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'borderRadius': '5px', 'textAlign': 'center'
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},
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multiple=True
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),
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dcc.Download(id="download-dataframe-csv"),
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dcc.Loading(id='loadingTbl', children=[html.Div(id='output_downloadBtn'), dmc.Space(h=30), html.Div(id='output-summary'), html.Div(id='output-data-upload')], type="cube", fullscreen=True, color='#8151FD')
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# html.Div(id='output-data-upload'),
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])
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dcc.Loading(
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id='loadingTbl',
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children=[
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html.Div(id='output_downloadBtn'),
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dmc.Space(h=30),
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html.Div(id='output-summary'),
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html.Div(id='output-data-upload')
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],
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type="cube",
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fullscreen=True,
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color='#8151FD'
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)
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])
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])
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# ---------------- Callbacks ----------------
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@app.callback(
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Output("download-dataframe-csv", "data"),
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Input("btn_csv", "n_clicks"),
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State('vartype', 'value'),
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State("vartype", "value"),
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State("includeIS", "checked"),
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prevent_initial_call=True
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)
79-
def func(n_clicks, vtype, intStd):
80-
if n_clicks is not None:
81-
now = dt.datetime.now().strftime("%d-%m %H:%M:%S")
82-
sil = 'noSIL'if not bool(intStd) else 'withSil'
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return dcc.send_data_frame(df.to_csv, f"df_{vtype.replace('.', '').lower()}_{sil}_{now}_.csv")
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def download_csv(n_clicks, vtype, int_std):
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if n_clicks:
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now = dt.datetime.now().strftime("%d-%m_%H-%M-%S")
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sil = 'noSIL' if not int_std else 'withSIL'
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return dcc.send_data_frame(df.to_csv, f"df_{vtype.replace('.', '').lower()}_{sil}_{now}.csv")
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85-
@app.callback(Output('output-data-upload', 'children'),
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Output('output_downloadBtn', 'children'),
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Output('output-summary', 'children'),
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Input('upload-data', 'contents'),
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State('upload-data', 'filename'),
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Input('vartype', 'value'),
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Input("includeIS", "checked"),
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prevent_initial_call=True
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)
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def update_output(list_of_contents, list_of_names, vtype, inIS):
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if list_of_contents is not None:
93+
@app.callback(
94+
Output('output-data-upload', 'children'),
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Output('output_downloadBtn', 'children'),
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Output('output-summary', 'children'),
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Input('upload-data', 'contents'),
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State('upload-data', 'filename'),
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Input('vartype', 'value'),
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Input('includeIS', 'checked'),
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prevent_initial_call=True
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)
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def update_output(list_of_contents, list_of_names, vtype, include_is):
104+
if list_of_contents:
96105
global df
97-
df = conv.readbin(list_of_contents, list_of_names, varType=vtype, sil=bool(inIS))
98-
children = [
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html.Div([
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html.Hr(),
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dash_table.DataTable(
102-
data=df.to_dict('records'),
103-
columns=[{'name': i, 'id': i, 'type': ('text' if i in['path', 'Name', 'Sample Text'] else 'numeric')} for i in df.columns],
104-
# columns=[{'name': i, 'id': i, } for i in df.columns],
105-
page_size=30, # we have less data in this example, so setting to 20
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style_table={'overflowY': 'auto'},
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sort_action='native',
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filter_action='native',
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style_header={
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'whiteSpace': 'normal',
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'minHeight': '100px', 'height': '110px', 'maxHeight': '150px',
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'minWidth': '100px', 'width': '110px', 'maxWidth': '150px',
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# 'lineHeight': '15px'
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},
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style_data={
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# 'whiteSpace': 'normal',
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'minWidth': '100px', 'width': '110px', 'maxWidth': '150px',
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'overflow': 'hidden',
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'textOverflow': 'ellipsis',
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# 'maxWidth': 0,
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},
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tooltip_data=[
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{column: {'value': '\n'.join(value.split('_')) , 'type': 'markdown'} for column, value in row.items() if column in ['Name', 'Sample Text'] } for row in df.to_dict('records')
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],
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tooltip_duration=None,
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style_cell={
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'fontFamily': 'Open Sans',
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'textAlign': 'center',}
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)])]
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c1 = [html.Hr(), dmc.Button("Download CSV", id="btn_csv", variant="gradient",
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gradient={"from": "teal", "to": "lime", "deg": 105})]
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df = conv.readbin(list_of_contents, list_of_names, varType=vtype, sil=bool(include_is))
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108+
table = dash_table.DataTable(
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data=df.to_dict('records'),
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columns=[
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{'name': i, 'id': i, 'type': 'text' if i in ['path', 'Name', 'Sample Text'] else 'numeric'}
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for i in df.columns
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],
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page_size=30,
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style_table={'overflowY': 'auto'},
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sort_action='native',
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filter_action='native',
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tooltip_data=[
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{
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column: {'value': '\n'.join(value.split('_')), 'type': 'markdown'}
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for column, value in row.items() if column in ['Name', 'Sample Text']
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}
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for row in df.to_dict('records')
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],
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tooltip_duration=None,
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style_cell={'fontFamily': 'Open Sans', 'textAlign': 'center'},
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style_header={
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'whiteSpace': 'normal', 'minHeight': '100px', 'height': '110px',
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'minWidth': '100px', 'width': '110px', 'maxWidth': '150px'
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},
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style_data={
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'minWidth': '100px', 'width': '110px', 'maxWidth': '150px',
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'overflow': 'hidden', 'textOverflow': 'ellipsis'
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}
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)
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137+
download_btn = dmc.Button("Download CSV", id="btn_csv", variant="gradient",
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gradient={"from": "teal", "to": "lime", "deg": 105})
132139

133-
dims = dmc.Text(f'{df.shape[0]} samples x {df.shape[1]} analytes')
134-
return children, c1, dims
140+
summary = dmc.Text(f'{df.shape[0]} samples x {df.shape[1]} analytes')
135141

142+
return [html.Div([html.Hr(), table])], [html.Hr(), download_btn], summary
136143

137144
if __name__ == '__main__':
138-
app.run_server(debug=True)
145+
app.run_server(debug=True)

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