def parse_contents()

in Dashboard/pages/upload.py [0:0]

• 38 lines of code
• 7 McCabe index (conditional complexity)

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'
        })
    ])