def update_dropdowns_years_options(df_in, aux):
"""
Updates the dropdowns with the years
"""
df = u.uos.b64_to_df(df_in)
return lay.get_options(df[c.cols.YEAR].unique().tolist())
def get_body(self):
return [
lay.card(dcc.Graph(id="plot_evol", config=c.dash.PLOT_CONFIG)),
lay.card([
dcc.Graph(id="plot_evo_detail", config=c.dash.PLOT_CONFIG),
dbc.RadioItems(
id="radio_evol_type",
options=lay.get_options(
[c.names.EXPENSES, c.names.INCOMES]),
value=self.def_type,
inline=True,
),
]),
lay.get_dummy_div("evo_aux"),
]
def get_body(self):
return [
lay.card(
dcc.Graph(
id="plot_evol",
config=c.dash.PLOT_CONFIG,
figure=plots.plot_timeserie(DFS[c.dfs.TRANS],
c.dash.DEFAULT_SMOOTHING,
self.def_tw),
)),
lay.card([
dcc.Graph(
id="plot_evo_detail",
config=c.dash.PLOT_CONFIG,
figure=plots.plot_timeserie_by_categories(
DFS[c.dfs.TRANS],
DFS[c.dfs.CATEG],
c.dash.DEFAULT_SMOOTHING,
self.def_type,
self.def_tw,
),
),
dbc.RadioItems(
id="radio_evol_type",
options=lay.get_options(
[c.names.EXPENSES, c.names.INCOMES]),
value=self.def_type,
inline=True,
),
]),
lay.card(
dcc.Graph(
id="plot_evo_savings",
config=c.dash.PLOT_CONFIG,
figure=plots.plot_savings_ratio(DFS[c.dfs.TRANS],
c.dash.DEFAULT_SMOOTHING,
self.def_tw),
)),
]
def get_body(self):
body = []
# Add plots and dropdowns
# One row default with all data, the other with last year
for num, myears in enumerate([self.all_years, self.last_year_as_list]):
body.append(
lay.card([
html.Div(
dcc.Dropdown(
id="drop_pie_{}".format(num),
multi=True,
options=lay.get_options(self.all_years),
# prevent long list selected
value=myears if myears != self.all_years else None,
)),
lay.two_columns([
dcc.Graph(
id="plot_pie_{}_{}".format(num, c.names.INCOMES),
config=c.dash.PLOT_CONFIG,
figure=plots.get_pie(DFS[c.dfs.TRANS],
DFS[c.dfs.CATEG],
c.names.INCOMES, myears),
),
dcc.Graph(
id="plot_pie_{}_{}".format(num, c.names.EXPENSES),
config=c.dash.PLOT_CONFIG,
figure=plots.get_pie(DFS[c.dfs.TRANS],
DFS[c.dfs.CATEG],
c.names.EXPENSES, myears),
),
]),
]))
return body
class Page(lay.AppPage):
""" Page Comparison """
link = c.dash.LINK_COMPARISON
radio_opt = lay.get_options(
[c.names.INCOMES, c.names.EXPENSES, c.names.EBIT])
def __init__(self, app):
super().__init__([c.dash.INPUT_CATEGORIES, c.dash.INPUT_SMOOTHING])
@app.callback(
[Output(f"plot_comp_{x}", "figure") for x in list("12")],
[
Input("global_df", "children"),
Input("input_categories", "value"),
Input("input_smoothing", "value"),
Input("radio_comp_1", "value"),
Input("radio_comp_2", "value"),
Input("comp_aux", "children"),
],
)
# pylint: disable=unused-variable,unused-argument
def update_ts_grad_1(df_in, categories, avg_month, type_trans_1,
type_trans_2, aux):
"""
Updates the timeserie gradient plot
Args:
df_in: transactions dataframe
categories: categories to use
avg_month: month to use in rolling average
type_trans_1: expenses/incomes/ebit plot 1
type_trans_2: expenses/incomes/ebit plot 2
"""
df = u.uos.b64_to_df(df_in)
df = u.dfs.filter_data(df, categories)
return (
plots.ts_gradient(df, type_trans_1, avg_month),
plots.ts_gradient(df, type_trans_2, avg_month),
)
def get_body(self):
return [
lay.card([
dcc.Graph(id="plot_comp_1", config=c.dash.PLOT_CONFIG),
dbc.RadioItems(
id="radio_comp_1",
options=self.radio_opt,
value=c.names.INCOMES,
inline=True,
),
]),
lay.card([
dcc.Graph(id="plot_comp_2", config=c.dash.PLOT_CONFIG),
dbc.RadioItems(
id="radio_comp_2",
options=self.radio_opt,
value=c.names.EXPENSES,
inline=True,
),
]),
lay.get_dummy_div("comp_aux"),
]
def get_body(self):
body = [
lay.card(
dcc.Graph(
id="plot_invest_total_worth",
config=c.dash.PLOT_CONFIG,
figure=plots.total_worth_plot(DFS[c.dfs.LIQUID],
DFS[c.dfs.WORTH],
c.dash.DEFAULT_SMOOTHING),
)),
lay.card([
dcc.Graph(
id="plot_invest_passive_income",
config=c.dash.PLOT_CONFIG,
figure=plots.passive_income_vs_expenses(
DFS[c.dfs.WORTH],
DFS[c.dfs.TRANS],
c.dash.DEFAULT_SMOOTHING,
self.def_smooth,
),
),
dbc.RadioItems(
id="radio_invest_smooth",
options=[
{
"label": "Don't smooth",
"value": False
},
{
"label": "Smooth passive income",
"value": True
},
],
value=self.def_smooth,
inline=True,
),
]),
lay.card(
dcc.Graph(
id="plot_invest_performance",
config=c.dash.PLOT_CONFIG,
figure=plots.total_worth_plot(DFS[c.dfs.INVEST],
DFS[c.dfs.WORTH],
c.dash.DEFAULT_SMOOTHING),
)),
lay.card([
dcc.Graph(
id="plot_invest_detail",
config=c.dash.PLOT_CONFIG,
figure=plots.invest_evolution_plot(
DFS[c.dfs.INVEST], c.dash.DEFAULT_SMOOTHING),
),
dbc.RadioItems(
id="radio_invest_wor_inv",
options=lay.get_options([c.names.WORTH, c.names.INVESTED]),
value=c.names.WORTH,
inline=True,
),
]),
]
return body
class Page(lay.AppPage):
""" Page Comparison """
link = c.dash.LINK_COMPARISON
radio_opt = lay.get_options(
[c.names.INCOMES, c.names.EXPENSES, c.names.EBIT])
def __init__(self, app):
super().__init__([c.dash.INPUT_CATEGORIES, c.dash.INPUT_SMOOTHING])
@app.callback(
[Output(f"plot_comp_{x}", "figure") for x in list("12")],
[
Input("input_categories", "value"),
Input("input_smoothing", "value"),
Input("radio_comp_1", "value"),
Input("radio_comp_2", "value"),
],
)
# pylint: disable=unused-variable,unused-argument
def update_plots(categories, avg_month, type_trans_1, type_trans_2):
"""
Updates the plots
Args:
categories: categories to use
avg_month: month to use in time average
type_trans_1: expenses/incomes/ebit plot 1
type_trans_2: expenses/incomes/ebit plot 2
"""
df = u.filter_data(DFS[c.dfs.TRANS], categories)
return (
plots.ts_gradient(df, type_trans_1, avg_month),
plots.ts_gradient(df, type_trans_2, avg_month),
)
def get_body(self):
return [
lay.card([
dcc.Graph(
id="plot_comp_1",
config=c.dash.PLOT_CONFIG,
figure=plots.ts_gradient(DFS[c.dfs.TRANS], c.names.INCOMES,
c.dash.DEFAULT_SMOOTHING),
),
dbc.RadioItems(
id="radio_comp_1",
options=self.radio_opt,
value=c.names.INCOMES,
inline=True,
),
]),
lay.card([
dcc.Graph(
id="plot_comp_2",
config=c.dash.PLOT_CONFIG,
figure=plots.ts_gradient(DFS[c.dfs.TRANS],
c.names.EXPENSES,
c.dash.DEFAULT_SMOOTHING),
),
dbc.RadioItems(
id="radio_comp_2",
options=self.radio_opt,
value=c.names.EXPENSES,
inline=True,
),
]),
]
def update_carriers(origin, dest, direct, past):
""" Update the carriers list """
return get_options(get_carriers(origin, dest, direct, past))