def layout(user_selected_timestamp, study_agent, ref_agent, scenario):
best_episode = make_episode(best_agents[scenario]["agent"], scenario)
new_episode = make_episode(study_agent, scenario)
center_indx = center_index(user_selected_timestamp, new_episode)
network_graph = make_network_agent_study(new_episode, timestep=center_indx)
open_help = should_help_open(
Path(grid2viz_home_directory) / DONT_SHOW_FILENAME("micro"))
header = "Analyze further your agent"
body = (
"Select a time step in the navbar dropdown and analyze what happened "
"at that time to understand the agent behavior.")
return html.Div(
id="micro_page",
children=[
indicator_line(),
flux_inspector_line(
network_graph,
slider_params(user_selected_timestamp, new_episode),
),
context_inspector_line(best_episode, new_episode),
all_info_line,
modal(id_suffix="micro",
is_open=open_help,
header=header,
body=body),
],
)
def layout(timestamps, scenario, study_agent, ref_agent,
from_scenario_selection):
if study_agent is None:
study_agent = best_agents[scenario]["agent"]
open_help = should_help_open(
Path(grid2viz_home_directory) / DONT_SHOW_FILENAME("macro"))
header = "Take a look at your agent"
body = (
"Select an agent to study in the dropdown menu and analyse it with "
"respect to the reference agent. Click on the reward graph to select "
"some time steps to study further your agent. When you have selected time steps, "
"go on to the Study agent view.")
return html.Div(
id="overview_page",
children=[
dcc.Store(id="relayoutStoreMacro"),
indicator_line(scenario, study_agent, ref_agent),
overview_line(timestamps, from_scenario_selection),
inspector_line(study_agent, scenario),
modal(id_suffix="macro",
is_open=open_help,
header=header,
body=body),
],
)
def toggle_modal(close_n_clicks, open_n_clicks, is_open, dont_show_again):
dsa_filepath = Path(grid2viz_home_directory) / DONT_SHOW_FILENAME("overview")
return toggle_modal_helper(
close_n_clicks,
open_n_clicks,
is_open,
dont_show_again,
dsa_filepath,
"page_help",
)
def layout(scenario, ref_agent):
try:
episode = make_episode(best_agents[scenario]["agent"], scenario)
except Exception as ex:
print(ex)
return
if ref_agent is None:
ref_agent = agent_scenario[scenario][0]
network_graph = make_network_scenario_overview(episode)
# /!\ As of 2020/10/29 the mpl_to_plotly functions is broken and not maintained
# It calls a deprecated function of matplotlib.
# Work around below : insert the image.
# https://stackoverflow.com/questions/63120058/plotly-mpl-to-plotly-error-spine-object-has-no-attribute-is-frame-like
buf = io.BytesIO()
plt.figure(network_graph.number)
plt.savefig(buf, format="png")
buf.seek(0)
encoded_image = base64.b64encode(buf.read())
buf.close()
open_help = should_help_open(
Path(grid2viz_home_directory) / DONT_SHOW_FILENAME("overview"))
header = "Take a deeper look at the Scenario"
body = (
"Look at the grid, inspect indicators as well as chronics"
"Select a reference agent in the dropdown menu to get a sense of flows and overflows over the scenario"
"When done, move to Agent Overview section. The reference agent will be used there as baseline to compare with"
)
return html.Div(
id="overview_page",
children=[
dcc.Store(id="relayoutStoreOverview"),
indicators_line(encoded_image.decode()),
summary_line(episode, ref_agent, scenario),
ref_agent_line,
modal(id_suffix="overview",
is_open=open_help,
header=header,
body=body),
],
)
def layout():
open_help = should_help_open(
Path(grid2viz_home_directory) / DONT_SHOW_FILENAME("episodes"))
header = "Take a look at the Scenarios"
body = (
" Choose a specific scenario to analyze by clicking its Open button. "
"Get more detailed information when choosing your scenario by clicking on the comparison & filtering button"
)
return html.Div(
id="scenario_page",
children=[
dcc.Store(id="relayoutStoreScenario"),
comparison_button(),
generate_heatmap_components(survival_df),
dbc.Row(id="cards_container", className="m-1"),
modal(id_suffix="episodes",
is_open=open_help,
header=header,
body=body),
],
)