Example 1: Simplest Case

from examples.example_1_simplest_case.ex_1_model_classes_with_vidigi_logging import Trial, g
from vidigi.animation import animate_activity_log
import pandas as pd
import plotly.io as pio
pio.renderers.default = "notebook"

my_trial = Trial()

my_trial.run_trial()

4 nurses

my_trial.all_event_logs.head(50)

	patient	pathway	event_type	event	time	resource_id	run
0	1	Simplest	arrival_departure	arrival	0.000000	NaN	0
1	1	Simplest	queue	treatment_wait_begins	0.000000	NaN	0
2	1	Simplest	resource_use	treatment_begins	0.000000	1.0	0
3	2	Simplest	arrival_departure	arrival	3.399660	NaN	0
4	2	Simplest	queue	treatment_wait_begins	3.399660	NaN	0
5	2	Simplest	resource_use	treatment_begins	3.399660	2.0	0
6	3	Simplest	arrival_departure	arrival	8.497645	NaN	0
7	3	Simplest	queue	treatment_wait_begins	8.497645	NaN	0
8	3	Simplest	resource_use	treatment_begins	8.497645	3.0	0
9	4	Simplest	arrival_departure	arrival	8.596678	NaN	0
10	4	Simplest	queue	treatment_wait_begins	8.596678	NaN	0
11	4	Simplest	resource_use	treatment_begins	8.596678	4.0	0
12	5	Simplest	arrival_departure	arrival	8.608025	NaN	0
13	5	Simplest	queue	treatment_wait_begins	8.608025	NaN	0
14	6	Simplest	arrival_departure	arrival	11.359739	NaN	0
15	6	Simplest	queue	treatment_wait_begins	11.359739	NaN	0
16	7	Simplest	arrival_departure	arrival	19.509442	NaN	0
17	7	Simplest	queue	treatment_wait_begins	19.509442	NaN	0
18	8	Simplest	arrival_departure	arrival	22.877356	NaN	0
19	8	Simplest	queue	treatment_wait_begins	22.877356	NaN	0
20	9	Simplest	arrival_departure	arrival	26.653863	NaN	0
21	9	Simplest	queue	treatment_wait_begins	26.653863	NaN	0
22	1	Simplest	resource_use_end	treatment_complete	40.317385	1.0	0
23	1	Simplest	arrival_departure	depart	40.317385	NaN	0
24	5	Simplest	resource_use	treatment_begins	40.317385	1.0	0
25	10	Simplest	arrival_departure	arrival	40.737793	NaN	0
26	10	Simplest	queue	treatment_wait_begins	40.737793	NaN	0
27	2	Simplest	resource_use_end	treatment_complete	42.443230	2.0	0
28	2	Simplest	arrival_departure	depart	42.443230	NaN	0
29	6	Simplest	resource_use	treatment_begins	42.443230	2.0	0
30	4	Simplest	resource_use_end	treatment_complete	48.809628	4.0	0
31	4	Simplest	arrival_departure	depart	48.809628	NaN	0
32	7	Simplest	resource_use	treatment_begins	48.809628	4.0	0
33	3	Simplest	resource_use_end	treatment_complete	51.483457	3.0	0
34	3	Simplest	arrival_departure	depart	51.483457	NaN	0
35	8	Simplest	resource_use	treatment_begins	51.483457	3.0	0
36	11	Simplest	arrival_departure	arrival	71.026558	NaN	0
37	11	Simplest	queue	treatment_wait_begins	71.026558	NaN	0
38	5	Simplest	resource_use_end	treatment_complete	77.447488	1.0	0
39	5	Simplest	arrival_departure	depart	77.447488	NaN	0
40	9	Simplest	resource_use	treatment_begins	77.447488	1.0	0
41	6	Simplest	resource_use_end	treatment_complete	83.962251	2.0	0
42	6	Simplest	arrival_departure	depart	83.962251	NaN	0
43	10	Simplest	resource_use	treatment_begins	83.962251	2.0	0
44	12	Simplest	arrival_departure	arrival	87.458700	NaN	0
45	12	Simplest	queue	treatment_wait_begins	87.458700	NaN	0
46	13	Simplest	arrival_departure	arrival	87.465138	NaN	0
47	13	Simplest	queue	treatment_wait_begins	87.465138	NaN	0
48	7	Simplest	resource_use_end	treatment_complete	95.498040	4.0	0
49	7	Simplest	arrival_departure	depart	95.498040	NaN	0

event_position_df = pd.DataFrame([
                    {'event': 'arrival',
                     'x':  50, 'y': 300,
                     'label': "Arrival" },

                    # Triage - minor and trauma
                    {'event': 'treatment_wait_begins',
                     'x':  205, 'y': 275,
                     'label': "Waiting for Treatment"},

                    {'event': 'treatment_begins',
                     'x':  205, 'y': 175,
                     'resource':'n_cubicles',
                     'label': "Being Treated"},

                    {'event': 'exit',
                     'x':  270, 'y': 70,
                     'label': "Exit"}

                ])

animate_activity_log(
        event_log=my_trial.all_event_logs[my_trial.all_event_logs['run']==1],
        event_position_df= event_position_df,
        scenario=g(),
        debug_mode=True,
        setup_mode=False,
        every_x_time_units=1,
        include_play_button=True,
        icon_and_text_size=20,
        gap_between_entities=6,
        gap_between_rows=25,
        plotly_height=700,
        frame_duration=200,
        plotly_width=1200,
        override_x_max=300,
        override_y_max=500,
        limit_duration=g.sim_duration,
        wrap_queues_at=25,
        step_snapshot_max=125,
        time_display_units="dhm",
        display_stage_labels=False,
        add_background_image="https://raw.githubusercontent.com/Bergam0t/vidigi/refs/heads/main/examples/example_1_simplest_case/Simplest%20Model%20Background%20Image%20-%20Horizontal%20Layout.drawio.png",
    )

Animation function called at 18:03:52
Iteration through minute-by-minute logs complete 18:03:54
Snapshot df concatenation complete at 18:03:54
Reshaped animation dataframe finished construction at 18:03:54
Placement dataframe finished construction at 18:03:54
Output animation generation complete at 18:03:56
Total Time Elapsed: 4.92 seconds