Dashboard/pages/upload.py

#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import base64
import datetime
import io
from re import A

import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import dash_table
import plotly.express as px

import pandas as pd
import dash
from dash import Dash, dcc, html, Input, Output, State
from dash import Dash, html, dcc
import plotly.express as px
from pandas import DataFrame
from pandas.io.parsers import TextFileReader
import plotly.figure_factory as ff
import dash_bootstrap_components as dbc
import pandas as pd



import base64
import datetime
import io

import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import dash_table
import plotly.express as px

import pandas as pd


external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets,
                suppress_callback_exceptions=True)



#dash.register_page(__name__)


    
app.layout = html.Div([ # this code section taken from Dash docs https://dash.plotly.com/dash-core-components/upload
    
    dcc.Upload(
        id='upload-data',
        children=html.Div([
            'Drag and Drop or ',
            html.A('Select Files')
        ]),
        style={
            'width': '100%',
            'height': '60px',
            'lineHeight': '40px',
            'borderWidth': '1px',
            'borderStyle': 'dashed',
            'borderRadius': '5px',
            'textAlign': 'center',
            'margin': '10px'
        },
        # Allow multiple files to be uploaded
        multiple=True
    ),
    html.Div(id='output-div'),
    html.Div(id='output-datatable'),
])

def parse_contents(contents, filename, date):
    content_type, content_string = contents.split(',')

    decoded = base64.b64decode(content_string)
    try:
        if 'csv' in filename:
            # Assume that the user uploaded a CSV file
            df = pd.read_csv(
                io.StringIO(decoded.decode('utf-8')))
        elif 'xls' in filename:
            # Assume that the user uploaded an excel file
            df = pd.read_excel(io.BytesIO(decoded))
    except Exception as e:
        print(e)
        return html.Div([
            'There was an error processing this file.'
        ])

    return html.Div([
        html.H5(filename),
        html.H6(datetime.datetime.fromtimestamp(date)),
        html.P("Inset X axis data"),
        dcc.Dropdown(id='xaxis-data',
                    options=[{'label':x, 'value':x} for x in df.columns]),
        html.P("Inset Y axis data"),
        dcc.Dropdown(id='yaxis-data',
                    options=[{'label':x, 'value':x} for x in df.columns]),
        html.Button(id="submit-button", children="Create Graph"),
        html.Hr(),

        dash_table.DataTable(
            data=df.to_dict('records'),
            columns=[{'name': i, 'id': i} for i in df.columns],
            page_size=15
        ),
        dcc.Store(id='stored-data', data=df.to_dict('records')),

        html.Hr(),  # horizontal line

        # For debugging, display the raw contents provided by the web browser
        html.Div('Raw Content'),
        html.Pre(contents[0:200] + '...', style={
            'whiteSpace': 'pre-wrap',
            'wordBreak': 'break-all'
        })
    ])


@app.callback(Output('output-datatable', 'children'),
            Input('upload-data', 'contents'),
            State('upload-data', 'filename'),
            State('upload-data', 'last_modified'))
def update_output(list_of_contents, list_of_names, list_of_dates):
    if list_of_contents is not None:
        children = [
            parse_contents(c, n, d) for c, n, d in
            zip(list_of_contents, list_of_names, list_of_dates)]
        return children


@app.callback(Output('output-div', 'children'),
            Input('submit-button','n_clicks'),
            State('stored-data','data'),
            State('xaxis-data','value'),
            State('yaxis-data', 'value'))

def make_graphs(n, data, x_data, y_data):
    if n is None:
        return dash.no_update
    else:
        bar_fig = px.bar(data, x=x_data, y=y_data)
        # print(data)
        return dcc.Graph(figure=bar_fig)

if __name__ == "__main__":
    app.run_server(debug=True, port=5009)