Exemple #1
0
def financial_template(client):
    datum = api.get("/Graphs?id=update_date_baan_realisation")
    datum_baan = datum[0]["date"][0:-10].replace(
        "T", " ") if datum else "[Niet beschikbaar]"
    explain_barchart_1 = f"""
    Deze barchart geeft de financiele status weer op {datum_baan}. We zien hier wat er is begroot, hoeveel hiervan
    is gerealiseerd, en wat er operationeel is gedaan."""
    explain_barchart_2 = """
    De operationele voortgang is berekend door het aantal aangesloten huizen te vermenigvuldigen
    met de gemiddelde kosten voor het aansluiten van een huis in een bepaalde categorie / sub-categorie.
    """

    return [
        html.Div(
            className="container-display ml-3",
            id=f"finance-warnings-{client}",
            children=[],
        ),
        html.Div(
            className="container-display",
            children=[
                figure(
                    figure=no_graph(),
                    container_id=f"budget-bar-category-{client}-container",
                    graph_id=f"budget-bar-category-{client}",
                    title="Begroting/Realisatie/Operationeel",
                ),
                dbc.Tooltip(
                    children=[
                        html.P(explain_barchart_1),
                        html.Br(),
                        html.P(explain_barchart_2),
                    ],
                    id=f"{client}-hover-finance-main-barchart",
                    target=f"budget-bar-category-{client}-container-title",
                    placement="below",
                    style={"font-size": 12},
                ),
            ],
        ),
        html.Div(
            className="container-display",
            children=[
                figure(
                    figure=no_graph(text="Geen selectie"),
                    container_id=f"budget-bar-sub-category-{client}-container",
                    graph_id=f"budget-bar-sub-category-{client}",
                    title="Begroting/Realisatie/Operationeel",
                ),
                figure(
                    figure=no_graph(text="Geen selectie"),
                    container_id=f"progress-over-time-{client}-container",
                    graph_id=f"progress-over-time-{client}",
                    title="Verloop",
                ),
            ],
        ),
    ]
def get_html(client):
    return [
        dcc.Store(id="aggregate_data", data=None),
        dcc.Store(id="aggregate_data2", data=None),
        dcc.Store(id=f"status-count-filter-{client}", data={}),
        html.Div(children=html.Div(id=f"activatie-indicators-{client}",
                                   className="container-display")),
        html.Div(
            [
                figure(
                    figure=no_graph(title="Gerealiseerde aansluitingen",
                                    text="Loading..."),
                    container_id=
                    f"realised-connections-activatie-dif-{client}-container",
                    graph_id=f"realised-connections-activatie-dif-{client}",
                ),
                figure(
                    figure=no_graph(
                        title="Gerealiseerde aansluitingen cumulatief",
                        text="Loading...",
                    ),
                    container_id=
                    f"realised-connections-activatie-{client}-container",
                    graph_id=f"realised-connections-activatie-{client}",
                ),
                html.Div(
                    [
                        figure(
                            figure=no_graph(title="ActualConnection types",
                                            text="Loading..."),
                            graph_id=
                            f"graph-actual-connection-type-activatie-{client}",
                            className=None),
                        dcc.DatePickerRange(
                            id=
                            f'date-picker-actual-connection-type-activatie-{client}',
                            initial_visible_month=date(date.today().year,
                                                       date.today().month,
                                                       date.today().day),
                            clearable=True,
                        )
                    ],
                    className='pretty_container column',
                )
            ],
            id="main_graphs",
            className="container-display",
        ),
    ]
 def budget_bar_category(dropdown_selection, project, client=client):
     data = collection.get_document(collection="Finance",
                                    project=dropdown_selection,
                                    client=client)
     if data:
         fig = calculate_figure(client, project, data, "categorie")
         return [fig]
     return [no_graph("Barchart")]
Exemple #4
0
def get_html(client):
    return [
        html.Div(children=html.Div(id=f"info-container-year-{client}",
                                   className="container-display")),
        html.Div(children=html.Div(id=f"info-container2-year-{client}",
                                   className="container-display")),
        html.Div(
            className="container-display",
            children=[
                figure(
                    graph_id=f"month-overview-year-{client}",
                    figure=no_graph(title="Jaaroverzicht", text="Loading..."),
                ),
                figure(
                    graph_id=f"week-overview-year-{client}",
                    figure=no_graph(title="Maandoverzicht", text="Loading..."),
                ),
                figure(
                    container_id=f"pie_chart_overview_{client}_container",
                    graph_id=f"pie_chart_overview-year_{client}",
                    figure=no_graph(title="Opgegeven reden na",
                                    text="Loading..."),
                ),
            ],
        ),
        html.Div(
            className="container-display",
            children=[
                figure(
                    graph_id=f"project-performance-year-{client}",
                    figure=no_graph(title="Jaaroverzicht", text="Loading..."),
                )
            ],
        ),
        html.Div(
            className="container-display",
            children=[
                table(
                    table_id=f"FTU_table_c_{client}",
                    table=dummy_table(),
                )
            ],
        ),
    ]
Exemple #5
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def get_html(client):
    return [
        dcc.Store(id="aggregate_data", data=None),
        dcc.Store(id="aggregate_data2", data=None),
        dcc.Store(id=f"status-count-filter-{client}", data={}),
        html.Div(
            id=f"indicators-{client}",
            className="container-display",
        ),
        html.Div(
            [
                figure(
                    figure=no_graph(
                        title="Progress of HPend over time", text="Loading..."
                    ),
                    graph_id=f"graph_prog-{client}",
                ),
                figure(
                    figure=no_graph(
                        title="Status oplevering per fase (LB)", text="Loading..."
                    ),
                    container_id=f"status-counts-laagbouw-{client}-container",
                    graph_id=f"status-counts-laagbouw-{client}",
                ),
                figure(
                    figure=no_graph(
                        title="Status oplevering per fase (HB)", text="Loading..."
                    ),
                    container_id=f"status-counts-hoogbouw-{client}-container",
                    graph_id=f"status-counts-hoogbouw-{client}",
                ),
                figure(
                    figure=no_graph(title="Opgegeven reden na", text="Loading..."),
                    container_id=f"redenna_project_{client}_container",
                    graph_id=f"redenna_project_{client}",
                ),
            ],
            id="main_graphs",
            className="container-display",
        ),
    ]
    def actual_connection_type(project, start_date, end_date, client=client):
        if project:
            ordered_dict = fetch_data_for_barchart_ActualConnectionTypes(
                project, client, start_date, end_date
            )
            if ordered_dict:
                fig = get_fig_ActualConnectionTypes(ordered_dict)
            else:
                fig = no_graph(title="ActualConnection types", text="No Data")
            return fig

        raise PreventUpdate
    def phase_buttons(*args, client=client):
        """
        This callback switches the view based on which tab is clicked. The input variables are not used as
        callback_context.triggered is used to access which trigger caused the callback.

        When the view changes the data is retrieved and rendered in the dashboard.

        Args:
            schouwen:
            lassen:
            graven:
            hassen:

        Returns:
            A rendered view with the relevant data for the selected phase.
        """
        if not callback_context.triggered:
            raise PreventUpdate

        phase = callback_context.triggered[0]["prop_id"].split("-")[2]

        if config.capacity_phases.get(phase) is None:
            phase = callback_context.states[f"memory_phase_{client}.data"]
            phase_name = config.capacity_phases[phase].get("name")
        else:
            phase_name = config.capacity_phases[phase].get("name")

        project = callback_context.inputs[f"project-dropdown-{client}.value"]

        freq = callback_context.inputs[f"frequency-selector-{client}.value"]

        unit_type = callback_context.inputs[f"unit-selector-{client}.value"]

        indicator_values, timeseries, line_graph_bool = fetch_data_productionstatus(
            project, client, freq, phase_name, unit_type=unit_type)

        if line_graph_bool:
            line_graph = productionstatus.get_fig(timeseries, unit_type)
        else:
            line_graph = no_graph("No data")

        return [
            capacity_summary(
                phase_name=phase_name,
                target=indicator_values["Target"],
                work_stock=indicator_values["Hoeveelheid Werkvoorraad"],
                capacity=indicator_values["Gerealiseerd & verwacht verloop"],
                poc=indicator_values["Gerealiseerd & ideaal verloop"],
                unit=config.capacity_phases[phase].get("unit"),
            ),
            line_graph,
            phase,
        ]
def get_graph(**filters):
    """
    This function retrieves the graph from the firestore. The graph is in the record field of a document in the Graphs
    collection. This function automatically retrieves the necessary data from the document.

    Args:
        **filters: See :func:`get_document`

    Returns:
        dict: The graph in the document
    """
    return get_document(collection="Graphs",
                        **filters).get("figure", no_graph())
    def update_graphs_using_status_clicks(click_filter, project_name, client=client):
        if not project_name:
            raise PreventUpdate

        data_laagbouw, data_hoogbouw = fetch_data_for_status_barchart(
            project_name, click_filter=click_filter, client=client
        )

        if not data_laagbouw.empty:
            laagbouw = completed_status_counts_bar.get_fig(
                data_laagbouw, title="Status oplevering per fase (LB)"
            )
        else:
            laagbouw = no_graph()

        if not data_hoogbouw.empty:
            hoogbouw = completed_status_counts_bar.get_fig(
                data_hoogbouw, title="Status oplevering per fase (HB & Duplex)"
            )
        else:
            hoogbouw = no_graph()

        return laagbouw, hoogbouw
    def update_redenna_status_clicks(click_filter, project_name, client=client):
        if not project_name:
            raise PreventUpdate

        total, laagbouw, hoogbouw = fetch_data_for_status_redenna_piechart(
            project_name, click_filter=click_filter, client=client
        )

        if not total.empty:
            fig = redenna_status_pie.get_fig(
                total, laagbouw, hoogbouw, title="Opgegeven reden na"
            )
        else:
            fig = no_graph()

        return [fig]
 def budget_bar_sub_category(click, project, client=client):
     ctx = dash.callback_context
     if "budget-bar-category" in [
             x["prop_id"].rpartition("-")[0] for x in ctx.triggered
     ]:
         for point in click.get("points", []):
             data = collection.get_document(collection="Finance",
                                            project=project,
                                            client=client)
             if data:
                 parent = dict(level="categorie", value=point.get("label"))
                 fig = calculate_figure(client, project, data,
                                        "sub_categorie", parent)
                 return [fig, point.get("label")]
             break
     return [no_graph(text="Geen selectie"), ""]
    def progress_over_time(click, project, client=client):
        ctx = dash.callback_context
        if "budget-bar-category" in [
                x["prop_id"].rpartition("-")[0] for x in ctx.triggered
        ]:
            for point in click.get("points", []):

                finance_data = collection.get_document(collection="Finance",
                                                       project=project,
                                                       client=client)

                if finance_data:
                    parent = dict(level="categorie", value=point.get("label"))
                    actuals_df = pd.DataFrame(
                        finance_data.get("actuals", {
                            parent.get("level"): [],
                            "bedrag": []
                        }))
                    actuals_df = actuals_df[actuals_df[parent.get("level")] ==
                                            parent.get("value")]
                    time_series = (actuals_df.groupby("vastlegdatum")
                                   ["bedrag"].sum().sort_index().cumsum())

                    if "expected_actuals" in finance_data:
                        expected_cost = pd.DataFrame(
                            finance_data.get(
                                "expected_actuals",
                                {
                                    parent.get("level"): [],
                                    "bedrag": []
                                },
                            ))
                    else:
                        expected_cost = pd.DataFrame(
                            finance_data.get("budget", {
                                parent.get("level"): [],
                                "bedrag": []
                            }))

                    expected_cost = expected_cost[expected_cost[parent.get(
                        "level")] == parent.get("value")].bedrag.sum()

                    traces = [
                        go.Scatter(
                            x=time_series.index,
                            y=time_series,
                            mode="lines+markers",
                            name="Financieel",
                            line=dict(color=config.colors_vwt["vwt_blue"]),
                        )
                    ]

                    if parent.get("value") in [
                            "has", "civiel", "montage", "schouwen"
                    ]:
                        progress_data = collection.get_document(
                            collection="Data",
                            project=project,
                            client=client,
                            data_set="progress_over_time",
                        )

                        traces.append(
                            get_progress_scatter(
                                expected_cost,
                                progress_data,
                                parent.get("value"),
                                color=config.colors_vwt["darkgray"],
                            ))

                    fig = go.Figure(data=traces)
                    fig.update_layout(
                        height=500,
                        paper_bgcolor=config.colors_vwt["paper_bgcolor"],
                        plot_bgcolor=config.colors_vwt["plot_bgcolor"],
                    )
                    return [fig, parent.get("value")]
                break
        return [no_graph(text="Geen selectie"), ""]
Exemple #13
0
def capacity_template(client):
    """
    The template for the capacity view.

    The phase selector is shown at the top, followed by the summarized data that answers the most important questions.
    Lastly there is a button that lets you open the more information panel.

    Args:
        client:

    Returns:
        html.Div: The capacity view.
    """
    return html.Div(
        id=f"cookie-factory-{client}",
        children=[
            dcc.Store(id=f"memory_phase_{client}", data="geulen"),
            dbc.Row(
                id=f"selection-menu-{client}",
                children=[
                    html.Div(
                        className=f"container-display-{client}",
                        id=f"capacity-phase-{client}",
                        children=dbc.ButtonGroup([
                            dbc.Button(
                                phase_data.get("name"),
                                id=f"capacity-phase-{phase}-{client}",
                            ) for phase, phase_data in
                            config.capacity_phases.items()
                        ]),
                    ),
                    html.Div(
                        className="container-display",
                        children=dcc.Dropdown(
                            id=f"frequency-selector-{client}",
                            options=[
                                {
                                    "label": "Week",
                                    "value": "week"
                                },
                                {
                                    "label": "Maand",
                                    "value": "month"
                                },
                            ],
                            value="week",
                            clearable=False,
                            style={
                                "color": config.colors_vwt.get("darkgray"),
                                "margin-left": "10px",
                                "width": "150%",
                            },
                        ),
                    ),
                ],
            ),
            html.Div(id=f"capacity-indicators-{client}", ),
            dbc.Row(
                id=f"capacity-info-{client}",
                children=dbc.Col(
                    [
                        dbc.Button(
                            "Meer informatie",
                            id=f"collapse-button-{client}",
                            className="mb-3",
                            style={
                                "background-color":
                                config.colors_vwt["vwt_blue"]
                            },
                        ),
                        dbc.Collapse(
                            [
                                dcc.Dropdown(
                                    id=f"unit-selector-{client}",
                                    options=[
                                        {
                                            "label": "Percentage",
                                            "value": ""
                                        },
                                        {
                                            "label": "Units",
                                            "value": "_units"
                                        },
                                    ],
                                    value="_units",
                                    clearable=False,
                                    style={
                                        "color":
                                        config.colors_vwt.get("darkgray"),
                                        "margin-left": "4px",
                                        "width": "100px",
                                    },
                                ),
                                figure(
                                    graph_id=f"more-info-graph-{client}",
                                    figure=no_graph(
                                        title="Verdieping Capaciteit",
                                        text="Geen data...",
                                    ),
                                ),
                            ],
                            id=f"more-info-collapse-{client}",
                        ),
                    ],
                    width=12,
                ),
            ),
        ],
    )