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How to use slidersR method in pyatom

Best Python code snippet using pyatom_python

AXClasses.py

Source:AXClasses.py

...1125        return self._convenienceMatchR('AXRow', 'AXTitle', match)1126    def sliders(self, match=None):1127        """Return a list of sliders with an optional match parameter."""1128        return self._convenienceMatch('AXSlider', 'AXValue', match)1129    def slidersR(self, match=None):1130        """Return a list of sliders with an optional match parameter."""...

main.py

Source:main.py

1import dash_bootstrap_components as dbc2import dash_core_components as dcc3import dash_html_components as html4from dash.dependencies import Input, Output, State, MATCH, ALL5import dash_apps.shared_components as dsc6from dash_apps.shared_styles import *7from dash_apps.apps.myapp import app8import dash9from engine import Model, Simulator10import os11import plotly.express as px12import pandas as pd13path = os.getcwd()14# get all models in the models directory, skip penicilin15model_names = [o for o in sorted(os.listdir(os.path.join('rms','models'))) if os.path.isdir(os.path.join('rms','models',o))]16model_names.remove('penicillin_goldrick_2017')17model_path = lambda model_name: os.path.join(path,'rms','models', model_name) 18# make a Dropdown Menu to select a models19dropdown_models = lambda pick: [dbc.DropdownMenuItem(m, id = m, active = True) if i is pick else dbc.DropdownMenuItem(m, id = m,  active = False) for i,m in enumerate(model_names)]20def sim(model_name):21    """22    Generates simulator object based on model name23    Arguments24    ---------25        model_name26    """27    global mysim, mymvars, mycvars, mymparams, mysparams, data28    mysim = Simulator(model = Model(model_path(model_name)))29    mymvars = mysim.model.mvars.default30    try:31        mycvars = mysim.subroutines.subrvars.default32    except Exception as e:33        print(e)34        mycvars = None35    mymparams = mysim.model.params.default36    mysparams = mysim.simvars.default37    mysim.set_inputs()38    data = mysim.run()39    mymvars = mysim.model.reset()40    return 41def sliders_from_df(vars_df):42    """43    Generates sliders based on the variables in a DataFrame44    Arguments45    ---------46        vars_df: Pandas DataFrame containing variables47    """ 48    sliders = []49    if vars_df is not None:50        for i,var in enumerate(vars_df.index):51            try:52                if vars_df.loc[var,'Min'] is not False:53                    minval = vars_df.loc[var,'Min']54                else:55                    minval = vars_df.loc[var,'Value']*0.156                if vars_df.loc[var,'Max'] is not False:57                    maxval = vars_df.loc[var,'Max']58                else:59                    maxval = vars_df.loc[var,'Value']*1.960                slider = dsc.NamedSlider(61                            name= vars_df.loc[var,'Label'],62                            id={'type':'dynamic-var',63                                'index': var64                            },65                            min=minval,66                            max=maxval,67                            step=(maxval-minval)/100,68                            value = vars_df.loc[var,'Value'],69                            other = {'units':vars_df.loc[var,'Units'],'type':'slider-input'}70                        )71            except:72                try:73                    other = {'units':vars_df.loc[var,'Units'],'type':'just-input'}74                except:75                    other = {'type':'just-input'}76                slider = dsc.NamedSlider(77                            name= vars_df.loc[var,'Label'],78                            id={'type':'dynamic-var',79                                'index': var80                            },81                            value = vars_df.loc[var,'Value'],82                            other = other83                        )84            sliders.append(slider)85    return sliders86# make a diagram, if any87diagram = lambda simulator: dbc.Card(88    [89        dbc.CardImg(src=simulator.model.diagram, top=True, alt = 'Oh snap! No diagram for this model!'),90        dbc.CardBody(91            html.P(simulator.model.doc, className="card-text")92        ),93    ],94)95# make a button to run the simulator96run_btn = dbc.Button(children = "Run Simulation", outline=True, size = "lg", color="primary", className="mb-3", id="btn_run", n_clicks = 0)97# make a button for plots98plot_btn = dbc.Button(children = "Add Chart", outline=True, size = "lg", color="primary", className="mb-3", id="btn_plot", n_clicks = 0)99# layout all the components to be displayed100content = html.Div(101    [102        dbc.Row([103            dbc.Col(html.H1(children='Reactor Modeling Sandbox'), width = 9),104        ]),105        dbc.Row([106            dbc.Col(html.H5(children='Beep bop'), width = 9),107            dbc.Col(108                dbc.DropdownMenu(109                    label = "Select a model",110                    children = dropdown_models(0),111                    right=False,112                    id = 'dd_models'113                ),114            )115        ]),116        dbc.Row([117            dbc.Col(html.H1(children=''), width = 12),118        ]),119        dbc.Row([120            dbc.Col(dbc.Col([121                dbc.Row(dsc.collapse([], 'Manipulated Variables', 'mvars-collapse')),122                dbc.Row(dsc.collapse([], 'Control Variables', 'cvars-collapse')),123            ],124                id = 'slidersL'),width = 2),125            dbc.Col([],id = 'diagram1', width = 6),126            dbc.Col([127                dbc.Row(dsc.collapse([], 'Model Parameters', 'mparams-collapse')),128                dbc.Row(dsc.collapse([], 'Simulation Settings', 'sparams-collapse')),129            ],130                id = 'slidersR', width = 4),131        ]),132        dbc.Row(dbc.Col(run_btn)),133        dbc.Row(dbc.Col(plot_btn)),134        dbc.Row(id = 'container', children = []),135    ],136    id="page-content",137    style = CONTENT_STYLE138)139#Layout includes a button simulate, a button to add charts, and an empty list to add graphs.140layout = html.Div(141    [142        content,143        html.Div(id='dummy-output4'),144        html.Div(id='dummy-output-models')145    ],146)147# callback to update the simulator with the selected model148@app.callback(149    [Output("dd_models", "children")],150    [Output(s+"-collapse", "children") for s in ['mvars','cvars','mparams','sparams']],151    [Output('dummy-output-models','children')],152    [Output('diagram1','children')],153    [Input(m, "n_clicks") for m in model_names],154)155def update_simulator(*args):156    ctx = dash.callback_context157    # this gets the id of the button that triggered the callback158    button_id = ctx.triggered[0]["prop_id"].split(".")[0]159    try:160        new_pick = model_names.index(button_id)161    except:162        new_pick = 0163    sim(model_names[new_pick])164    return dropdown_models(new_pick), sliders_from_df(mymvars[~mymvars.State]), *[sliders_from_df(p) for p in [mycvars, mymparams, mysparams]], [], diagram(mysim)165# callback to update the model variables with the sliders / input box166@app.callback(167    [Output({'type': 'dynamic-var-input', 'index': ALL}, 'value'),168    Output({'type': 'dynamic-var', 'index': ALL}, 'value')],169    [Input({'type': 'dynamic-var-input', 'index': ALL}, 'value'),170    Input({'type': 'dynamic-var', 'index': ALL}, 'value')]171)172def update_mvars_slider(inputs,sliders):173    ctx = dash.callback_context174    button_id = ctx.triggered[0]['prop_id'].split('.')[0]175    if button_id:176        if 'input' in button_id:177            sliders = inputs[:len(sliders)]178        else:179            inputs[:len(sliders)] = sliders180        l1 = len(mysim.model.mvars.from_input['Value']) # cheap but works181        try:182            l2 = len(mysim.subroutines.subrvars.from_input['Value'])+l1183        except:184            l2 = l1185        l3 = len(mysim.model.params.from_input['Value'])+l2186        mysim.model.mvars.from_input['Value'].iloc[:] = inputs[:l1]187        try:188            mysim.subroutines.subrvars.from_input['Value'].iloc[:] = inputs[l1:l2]189        except:190            pass191        mysim.model.params.from_input['Value'].iloc[:] = inputs[l2:l3]192        mysim.simvars.from_input['Value'].iloc[:] = inputs[l3:]193    return inputs, sliders194# callback to run the simulator and display data when the button is clicked195@app.callback(196    Output('dummy-output4','children'),197    Input('btn_run', 'n_clicks'),198)199def run_simulation(n_clicks_run):200    if n_clicks_run>0:201        global data, mymvars202        mysim.set_inputs()203        data = mysim.run()204        mymvars = mysim.model.reset()205    return206   207# Takes the n-clicks of the add-chart button and the state of the container children.208@app.callback(209   Output('container','children'),210   [Input('btn_plot','n_clicks'),211   Input('dummy-output4','children'),212   Input('dummy-output-models','children')],213   [State('btn_run','n_clicks'),214   State('container','children')]215)216#This function is triggered when the add-chart clicks changes. This function is not triggered by changes in the state of the container. If children changes, state saves the change in the callback.217def display_graphs(n_clicks, dummy,dummy_models, n_run, div_children):218    ctx = dash.callback_context219    button_id = ctx.triggered[0]["prop_id"].split(".")[0]220    if button_id == 'dummy-output-models':221        div_children = []222    elif button_id == 'btn_plot' or (n_clicks == 0 and n_run == 0):223        new_child = dbc.Col(224            children=[225                dbc.Row([226                dbc.Col(dbc.RadioItems(227                    id={'type':'dynamic-choice',228                        'index':n_clicks229                    },230                    options=[{'label': 'Line Chart', 'value': 'line'},231                            {'label':'Bar Chart', 'value': 'bar'}232                            ],233                    value='line',234                ), width = 2),235                dbc.Col(dcc.Dropdown(236                    id={237                        'type': 'dynamic-dpn-var1',238                        'index': n_clicks239                    },240                    options=[{'label': pd.concat([mymvars,mycvars]).loc[var,'Label'] + ' ('+var+')', 'value': var} for var in data.columns[data.columns.map(lambda x: '0' not in x)]],241                    multi=True,242                    value = [],243                    placeholder='Select variables to plot...',244                    clearable=False245                ), width = 8),246                dbc.Col([247                    dbc.Label('Time'),248                    dcc.Slider(249                    id={'type':'dynamic-slider',250                        'index':n_clicks251                    },252                    min=1,253                    max=len(mysim.time)-1,254                    step=1,255                    value=len(mysim.time)-1,256                )], width = 2),257                ]),258                dcc.Graph(259                    id={260                        'type':'dynamic-graph',261                        'index':n_clicks262                    },263                    figure={}264                ),265            ],266        width = 4)267        div_children.append(new_child)268    elif button_id == 'dummy-output4':269        for c,child in enumerate(div_children):270            try:271                for l,line in enumerate(child['props']['children'][1]['props']['figure']['data']):272                    old_data = div_children[c]['props']['children'][1]['props']['figure']['data'][l]['y']273                    var = div_children[c]['props']['children'][1]['props']['figure']['data'][l]['legendgroup']274                    div_children[c]['props']['children'][1]['props']['figure']['data'][l]['y'] = data[var].iloc[:len(old_data)].tolist()275            except:276                pass277    return div_children278# callback to update the graphs with the selected variables and graph types279@app.callback(280    Output({'type': 'dynamic-graph', 'index': MATCH}, 'figure'),281    [Input(component_id={'type': 'dynamic-dpn-var1', 'index': MATCH}, component_property='value'),282     Input(component_id={'type': 'dynamic-choice', 'index': MATCH}, component_property='value'),283     Input(component_id={'type': 'dynamic-slider', 'index': MATCH}, component_property='value')],284     State({'type': 'dynamic-graph', 'index': MATCH}, 'figure')285)286def new_graph(var, chart_type, time_idx, old_fig):287    ctx = dash.callback_context288    global data289    data = data.astype(float)290    if ctx.triggered[0]["prop_id"] != '.':291        if len(var) == 0:292            fig = old_fig293        else:294            if chart_type == 'bar':295                fig = px.bar(x = var, y= data[var].iloc[time_idx], color=var, labels = {'y':'Value at {:.2f}'.format(data.index[time_idx]), 'x':'Variable', 'color':'Variable'})296            elif chart_type == 'line':297                fig = px.line(data.iloc[:time_idx] , x = data.iloc[:time_idx].index, y = var, labels = {'x':'Time','value':'Value', 'variable':'Variable'})298            fig.update_layout(legend_orientation='h')                299            # change labels300            labels = {v: pd.concat([mymvars,mycvars]).loc[v,'Label'] + ' (' + pd.concat([mymvars,mycvars]).loc[v,'Units'] +')' for v in var}301            for i, dat in enumerate(fig.data):302                for elem in dat:303                    if elem == 'name':304                        fig.data[i].name = labels[fig.data[i].name]305        return fig306    else:307        return old_fig308# callback to collapse the different slider menus309@app.callback(310    [Output(s+"-collapse", "is_open") for s in ['mvars','cvars','mparams','sparams']],311    [Input(s+"-collapse-button", "n_clicks") for s in ['mvars','cvars','mparams','sparams']],312    [State(s+"-collapse", "is_open") for s in ['mvars','cvars','mparams','sparams']],313)314def toggle_collapse(*args):315    are_open = list(args[int(len(args)/2):])316    ns = list(args[:int(len(args)/2)])317    ctx = dash.callback_context318    button_id = ctx.triggered[0]['prop_id'].split('.')[0]319 320    for i,n in enumerate(['mvars','cvars','mparams','sparams']):321        if n in button_id:322            are_open[i] = not are_open[i]...

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