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import dash_resumable_upload |
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import dash |
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import dash_html_components as html |
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from dash.dependencies import Input, Output |
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import base64 |
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import dash_table_experiments as dt |
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import dash_core_components as dcc |
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from os.path import isfile, join |
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from os import listdir,system |
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import shutil |
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import time |
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import main |
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import io |
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import plotly.graph_objs as go |
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try: |
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system("rm -r uploads") |
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except: |
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pass |
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app = dash.Dash('') |
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dash_resumable_upload.decorate_server(app.server, "uploads") |
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app.scripts.config.serve_locally = True # Uploaded to npm, this can work online now too. |
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app.css.append_css({ |
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"external_url": "https://codepen.io/rmarren1/pen/eMQKBW.css" |
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}) |
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app.layout = html.Div([ |
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dash_resumable_upload.Upload( |
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id='upload', |
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maxFiles=1, |
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maxFileSize=1024*1024*1000, # 100 MB |
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service="/upload_resumable", |
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textLabel="Drag and Drop Here to upload!", |
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startButton=False |
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), |
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html.Div(id='output_uploaded_file'), |
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html.Div([ |
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dcc.Dropdown(id='files_dropdown') |
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],style={'width': '20%', 'display': 'inline-block'} |
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), |
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html.Div([ |
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html.Br(), |
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dcc.Graph(id='CV_graph'), |
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],style={ |
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'columnCount': 1, |
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'width':'70%', |
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'height': '80%', |
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} |
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), |
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html.Div([ |
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html.H4('CV DataTable'), |
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dt.DataTable( |
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#rows=charge.to_dict('records'), #converts df to dict |
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rows=[{}], |
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#columns=sorted(charge.columns), #sorts columns |
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row_selectable=True, |
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filterable=True, |
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selected_row_indices=[], |
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id='datatable_initial' |
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), |
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html.Div(id='selected-indexes'), |
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], |
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style={ |
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'width': '98%', |
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#'height': '60px', |
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#'lineHeight': '60px', |
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'margin': '10px' |
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}, |
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) |
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]) |
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#encode = base64.b64encode( |
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# open("uploads/%s" % (x), 'rb').read()).decode('ascii') |
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#return "data:image/jpg;base64,{}".format(encode) |
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@app.callback(Output('output_uploaded_file', 'children'), |
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[Input('upload', 'fileNames')]) |
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def display_files(fileNames): |
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if fileNames is not None: |
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#return html.Ul([html.Li( |
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# html.Img(height="50", width="100", src=get_img(x))) for x in fileNames]) |
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return html.Ul([html.Li(html.A(x)) for x in fileNames]) |
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return html.Ul(html.Li("No Files Uploaded Yet!")) |
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View Code Duplication |
@app.callback(Output('files_dropdown', 'options'), |
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[Input('upload','fileNames')]) |
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def dropdown_files(fileNames): |
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# time.sleep(5) |
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mypath='./uploads/' |
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onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath, f))] |
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#print(onlyfiles) |
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#onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath, f))] |
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#options=[{'label': i, 'value': i} for i in onlyfiles] |
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#print(options) |
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#return {'options':options} |
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return [{'label': i, 'value': i} for i in onlyfiles] |
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def parse_contents(value): |
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lines1 = base64.b64encode(open("uploads/%s" % (value), 'rb').read()) |
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lines2 = base64.b64decode(lines1).decode('utf-8').split('\n') |
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#lines2 = lines1.decode('utf-8') |
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#lines = io.StringIO(lines2) |
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dict_1, n_cycle = main.read_file(lines2) |
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df = main.data_frame(dict_1, 1) |
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return df |
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@app.callback( #update charge datatable |
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Output('datatable_initial', 'rows'), |
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[Input('files_dropdown', 'value')]) |
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def update_table1(value): |
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#for line in lines3: |
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# print(line) |
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#print(type(lines3)) |
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df = parse_contents(value) |
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print(df.head()) |
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#data = parse_contents(contents, filename, date) |
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#charge, discharge = ccf.sep_char_dis(data) |
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return df.to_dict('records') |
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@app.callback( |
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Output('CV_graph', 'figure'), |
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[Input('files_dropdown', 'value')]) |
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def update_figure(value): |
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df = parse_contents(value) |
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return { |
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'data': [go.Scatter( |
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x = df['Potential'], |
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y = df['Current'], |
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marker={ |
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'size': 15, |
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'opacity': 0.5, |
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'color' : '#FF851B' |
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} |
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)], |
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#'layout' : {'Dash'} |
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'layout': go.Layout( |
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xaxis={'title': 'Voltage (V)'}, |
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yaxis={'title': 'Current (A)'}, |
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# #margin={'l': 40, 'b': 40, 't': 10, 'r': 10}, |
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# #legend={'x': 0, 'y': 1}, |
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# hovermode='closest' |
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) |
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} |
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if __name__ == '__main__': |
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app.run_server(debug=True) |
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sabiharustam /
voltcycle
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