def test_custom_run(self):
mr = cr.run_model(
_model=CompartmentalModel.ID,
_profile='custom',
camp='Moria',
load_from_cache=False,
save_to_cache=False,
is_save_plots=False,
is_show_plots=False,
is_save_report=False,
overrides='{"numberOfIterations": 4, "nProcesses": 1}'
)
actual_report_df = mr.get('report')
expected_df = pd.read_csv(pu._path('../runner/tests', 'expected_report.csv'))
pdt.assert_frame_equal(expected_df, actual_report_df, check_exact=False, check_less_precise=1)
def check(actual, expected):
actual = actual.reset_index()
# actual.to_csv(expected, index=False)
expected_df = pd.read_csv(pu._path('../runner/tests', expected))
pdt.assert_frame_equal(expected_df, actual)
import dash
import dash_core_components as dcc
import dash_bootstrap_components as dbc
import dash_html_components as html
from dash.dependencies import Input, Output, State
from dash.exceptions import PreventUpdate
from ai4good.webapp.apps import dash_app, facade, model_runner, _redis
import ai4good.webapp.run_model_page as run_model_page
from ai4good.webapp.model_runner import InputParameterCache
import ai4good.utils.path_utils as pu
import os
text_disclaimer = 'Disclaimer: This tool is for informational and research purposes only and should not be considered as a medical predictor. The input parameters you have provided is a determining factor in the simulation results. '
base = '../../fs'
path_country = pu._path(f'{base}/params/cm_model/contact_matrices/', '')
country_raw = [
f for f in os.listdir(path_country)
if os.path.isfile(os.path.join(path_country, f))
]
country_clean = sorted([f.split('.')[0] for f in country_raw])
layout = html.Div([
run_model_page.nav_bar(),
html.Div([
dbc.Container([
dbc.Row(dbc.Col(dbc.Card([
html.H6(text_disclaimer, className='card-text'),
html.Div(id='input-page-1-disclaimer')
],
body=True),