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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,294 @@ | ||
| from dash.dependencies import Input, Output, State | ||
| from dash import html | ||
| from dash.exceptions import PreventUpdate | ||
| import dash_bootstrap_components as dbc | ||
| import dash_daq as daq | ||
| from dash import dcc | ||
| from pyquac.settings import settings | ||
|
|
||
| FIT_STYLE = { | ||
| "position": "fixed", | ||
| "top": "70px", | ||
| "left": "64rem", | ||
| "bottom": 0, | ||
| "width": "16rem", | ||
| "height": "100%", | ||
| "z-index": 1, | ||
| "overflow-x": "hidden", | ||
| "transition": settings.transition_time, | ||
| "padding": "0.5rem 1rem", | ||
| } | ||
|
|
||
| FIT_HIDEN = { | ||
| "position": "fixed", | ||
| "top": "70px", | ||
| "left": "45rem", | ||
| "bottom": 0, | ||
| "width": "16rem", | ||
| "height": "100%", | ||
| "z-index": 1, | ||
| "overflow-x": "hidden", | ||
| "transition": settings.transition_time, | ||
| "padding": "0.5rem 1rem", | ||
| } | ||
|
|
||
|
|
||
| def tooltip_settings(setting_type: str, setting_descr: str): | ||
| return html.Div( | ||
| [ | ||
| html.P( | ||
| [ | ||
| html.Span( | ||
| setting_type, | ||
| id=f"tooltip-target_{setting_type}", | ||
| style={"textDecoration": "underline", "cursor": "pointer"}, | ||
| ), | ||
| ], | ||
| className="small", | ||
| ), | ||
| dbc.Tooltip( | ||
| setting_descr, | ||
| target=f"tooltip-target_{setting_type}", | ||
| autohide=False, | ||
| ), | ||
| ] | ||
| ) | ||
|
|
||
|
|
||
| def input_settings( | ||
| setting_type: str, | ||
| setting_descr: str, | ||
| setting_id: str, | ||
| min_value, | ||
| max_value, | ||
| default_value, | ||
| disabled=True, | ||
| ): | ||
| return ( | ||
| dbc.NavItem( | ||
| [ | ||
| dbc.Input( | ||
| id=setting_id, | ||
| type="number", | ||
| min=min_value, | ||
| max=max_value, | ||
| placeholder=setting_type, | ||
| disabled=disabled, | ||
| html_size=16, | ||
| size="sm", | ||
| value=default_value, | ||
| ), | ||
| tooltip_settings(setting_type, setting_descr), | ||
| ] | ||
| ), | ||
| ) | ||
|
|
||
|
|
||
| thres = input_settings( | ||
| "Threshold", | ||
| "thres : float between [0., 1.]\nNormalized threshold. Only the peaks with amplitude higher than the threshold will be detected", | ||
| "thres", | ||
| min_value=0.0, | ||
| max_value=1.0, | ||
| default_value=0.7, | ||
| ) | ||
|
|
||
| min_dist = input_settings( | ||
| "Minimum distance", | ||
| "min_dist : int\nMinimum distance between each detected peak. The peak with the highest amplitude is preferred to satisfy this constraint.", | ||
| "min_dist", | ||
| min_value=1, | ||
| max_value=100000, | ||
| default_value=75, | ||
| ) | ||
|
|
||
| n_last = input_settings( | ||
| "N last", | ||
| "n_last : int\nThe number of the highest values (relative to the mean), which are taken into account when searching for peak values", | ||
| "n_last", | ||
| min_value=1, | ||
| max_value=100000, | ||
| default_value=20, | ||
| ) | ||
|
|
||
| deg = input_settings( | ||
| "Degree value", | ||
| "deg : int\nDegree of the fitting polynomial", | ||
| "deg", | ||
| min_value=1, | ||
| max_value=100, | ||
| default_value=2, | ||
| disabled=False, | ||
| ) | ||
|
|
||
| resolving_zone = input_settings( | ||
| "Resolving band value", | ||
| "deg : float (0:1)\nRelative part of the captured scan when applying the approximation.", | ||
| "res_bnd", | ||
| min_value=0.001, | ||
| max_value=0.99, | ||
| default_value=0.05, | ||
| disabled=False, | ||
| ) | ||
|
|
||
| # info_eq = ( | ||
| # "Polynomial: " | ||
| # + r"$$p(x)=c_0+c_1x+...+c_nx^n$$" | ||
| # + "\nCosine: " | ||
| # + r"$$p(x)=A_1cos(2*\pi\omega x+\theta)$$" | ||
| # ) | ||
| info_eq = r"$$p(x)=c_0+c_1x+...+c_nx^n$$" | ||
|
|
||
| # collapse = html.Div( | ||
| # [ | ||
| # dbc.Button( | ||
| # "Open fit settings", | ||
| # id="collapse-button", | ||
| # className="mb-3", | ||
| # color="primary", | ||
| # n_clicks=0, | ||
| # ), | ||
| # dbc.Collapse( | ||
| # [ | ||
| # # dbc.Card(dbc.CardBody("Settings for curve fitting")), | ||
| # dcc.Markdown(info_eq, className="small", mathjax=True), | ||
| # *deg, | ||
| # *resolving_zone, | ||
| # ], | ||
| # id="collapse", | ||
| # is_open=False, | ||
| # ), | ||
| # ] | ||
| # ) | ||
|
|
||
| fit_block = html.Div( | ||
| [ | ||
| dbc.Nav( | ||
| [ | ||
| dbc.NavItem(html.H5("Fit block")), | ||
| html.Hr(), | ||
| dbc.NavItem( | ||
| [ | ||
| dbc.Row( | ||
| [ | ||
| dbc.Col( | ||
| dbc.Row( | ||
| daq.BooleanSwitch( | ||
| id="x_selection", | ||
| on=False, | ||
| color="#3459e6", | ||
| label="Select x points", | ||
| ), | ||
| ) | ||
| # dbc.Button( | ||
| # "Select x points", | ||
| # id="x_selection", | ||
| # title="If no points are selected, then fits regarding all existing points", | ||
| # size="sm", | ||
| # ), | ||
| ), | ||
| dbc.Col( | ||
| dbc.Button( | ||
| "Clear selection", | ||
| id="clear_selection", | ||
| title="clearing cache", | ||
| size="sm", | ||
| ), | ||
| ), | ||
| ] | ||
| ), | ||
| # html.Div( | ||
| # "If no points are selected, then fits regarding all existing points", | ||
| # className="small", | ||
| # ), | ||
| ], | ||
| class_name="mt-3", | ||
| ), | ||
| dbc.NavItem( | ||
| [ | ||
| html.Div( | ||
| children="Points selected: ", id="points_selected_output" | ||
| ) | ||
| ], | ||
| class_name=["mt-2", "small", "mb-3"], | ||
| ), | ||
| # dbc.NavItem( | ||
| # dbc.RadioItems( | ||
| # options=[ | ||
| # {"label": "Polynomial", "value": "poly"}, | ||
| # {"label": "Cosine", "value": "cos"}, | ||
| # ], | ||
| # value=1, | ||
| # id="radioitems-inline-input", | ||
| # inline=True, | ||
| # ) | ||
| # ), | ||
| html.Hr(), | ||
| dcc.Markdown(info_eq, className="small", mathjax=True), | ||
| *deg, | ||
| *resolving_zone, | ||
| # *thres, | ||
| # *min_dist, | ||
| # *n_last, | ||
| dbc.NavItem( | ||
| [ | ||
| dbc.Row( | ||
| [ | ||
| dbc.Col( | ||
| html.Div( | ||
| "Fit based on manual selection", | ||
| className="small", | ||
| ), | ||
| width=8, | ||
| ), | ||
| dbc.Col( | ||
| daq.BooleanSwitch( | ||
| id="manual_fit", | ||
| on=True, | ||
| color="#3459e6", | ||
| disabled=True, | ||
| ), | ||
| width=4, | ||
| ), | ||
| ] | ||
| ), | ||
| ], | ||
| style={"margin-bottom": "0.5rem"}, | ||
| ), | ||
| dbc.NavItem( | ||
| [ | ||
| dbc.Row( | ||
| [ | ||
| dbc.Col( | ||
| html.Div( | ||
| "Show fitted curve on heatmap", | ||
| className="small", | ||
| ), | ||
| width=8, | ||
| ), | ||
| dbc.Col( | ||
| daq.BooleanSwitch( | ||
| id="fit_curve_show", | ||
| on=True, | ||
| color="#3459e6", | ||
| ), | ||
| width=4, | ||
| ), | ||
| ] | ||
| ), | ||
| ], | ||
| style={"margin-bottom": "0.5rem"}, | ||
| ), | ||
| dbc.NavItem( | ||
| dbc.Button( | ||
| "Fit Curve", | ||
| id="fit", | ||
| title="Fit Curve", | ||
| ), | ||
| ), | ||
| ] | ||
| ), | ||
| ], | ||
| style=FIT_STYLE, | ||
| id="fit_block", | ||
| ) |
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