def visualization_grid(width, height, highS, middleS, lowS, edu_setting=False,
cureProb=0.1, cureProbFac=2/1440, mutateProb=0.0050,
diseaseRate=0.2):
"""
Launch grid visualization on server.
width: Width of the grid.
height: Height of the grid.
highS: Number of agents with high sociability.
middleS: Number of agents with middle sociability.
lowS: Number of agents with low sociability.
edu_setting: If true, agents will follow a schedule and sit in classrooms,
else they will move freely through an open grid.
cureProb: Probability of agent getting better.
cureProbFac: Factor of cureProb getting higher.
mutateProb: Probability of a disease mutating.
diseaseRate: Rate at which the disease spreads
"""
grid = CanvasGrid(agent_portrayal, width, height, width*10, height*10)
server = ModularServer(DiseaseModel, [grid], "Disease Model",
{"highS": highS, "middleS": middleS, "lowS": lowS,
"width": width, "height": height,
"edu_setting": edu_setting, "cureProb": cureProb,
"cureProbFac": cureProbFac,
"mutateProb": mutateProb,
"diseaseRate": diseaseRate})
server.port = 8521 # The default
server.launch()
def StartSimulation(fieldSize):
grid = CanvasGrid(agent_portrayal, fieldSize, fieldSize, 500, 500)
chart = ChartModule([{
"Label":
"Suma przeżytych rund każdej jednostki do kosztu całej armii - czerwoni",
"Color": "Red"
}, {
"Label":
"Suma przeżytych rund każdej jednostki do kosztu całej armii - niebiescy",
"Color": "Blue"
}],
data_collector_name='datacollector')
chart_hp = ChartModule([{
"Label": "Punkty życia armii czerwonej",
"Color": "Red"
}, {
"Label": "Punkty życia armii niebieskiej",
"Color": "Blue"
}],
data_collector_name='datacollector_health')
server = ModularServer(Battlefield, [grid, chart, chart_hp], "Draw Model",
{
"width": fieldSize,
"height": fieldSize
})
server.port = 8521 # The default
server.launch()
def visualize(args):
ppd = 8 #pixels per dimension
width = 150
height = 140
countR = int(round(height * width / 25 *
3)) # avg 3 Rabits per each 5x5 cells square
countF = int(round(height * width / 25 *
1)) # avg 1 Fox per each 5x5 cells square
grid = MyCanvasGrid(rabit_portrayal, fox_portrayal, terain_portrayal,
width, height, width * ppd, height * ppd)
FoxesNr = {"Label": "FoxesNr", "Color": "red"}
RabitsNr = {"Label": "RabitsNr", "Color": "blue"}
chart_count = ChartModule([FoxesNr, RabitsNr],
data_collector_name='datacollector')
server = ModularServer(
Field, [grid, chart_count], "Rabit VS Fox Model", {
"width": width,
"height": height,
"num_rabits": countR,
"num_foxes": countF,
"mode": Mode.Visualization,
"seed": 999
})
server.port = 8521 # The default
server.launch()
def __init__(self, model):
#super().__init__(model=model)
self.model = model
grid = CanvasGrid(self.agent_portrayal, 50, 50, 500, 500)
chart = ChartModule([{
"Label": "Emergence",
"Color": "Black"
}],
data_collector_name='datacollector')
server = ModularServer(ComplexClusteringModel,
visualization_elements=[grid, chart],
name="Ant Model",
model_params={
"mid": model.middel,
"num_ants": model.num_ants,
"density_of_particels":
model.density_of_particels,
"step_size": model.step_size,
"jumping_distance": model.jumping_distance,
"perceptionRadius": model.perceptionRadius,
"particleThreshhold":
model.particleThreshhold,
"kPlus": model.kPlus,
"kMinus": model.kMinus
})
server.port = 8525 # The default
server.launch()
pass
def run(model, parameters, visual, back = False):
"""
Execute the simulation with visual representation.
Args:
parameters: Parameters associated with the simulation model and others such as grid size.
model: Model that is simulated.
visual: JS files with the visualization elements that are included in the JavaScript browser visualization template.
back: Python file working as backend visualization.
"""
backEndVisualization = BackEndVisualization(int(parameters['width']), int(parameters['height']), 500, 500, visual)
path = os.path.abspath(soba.__file__)
path = path.rsplit('/', 1)[0]
local_handler = (r'/local/(.*)', tornado.web.StaticFileHandler,
{"path": path})
external_handler = (r'/external/(.*)', tornado.web.StaticFileHandler,
{"path": ""})
ModularServer.handlers = ModularServer.handlers[:-1]
ModularServer.handlers = ModularServer.handlers + [local_handler] + [external_handler]
if back != False:
server = ModularServer(model, [backEndVisualization, back], name="Simulation", model_params=parameters)
else:
server = ModularServer(model, [backEndVisualization], name="Simulation", model_params=parameters)
server.port = 7777
server.launch()
def main():
"""
The main running function.
:return: 0 on success
"""
ln_slider = UserSettableParameter('slider', "Number of L. Niger Agents",
NUM_LNIGER, 0, 300, 1)
fj_slider = UserSettableParameter('slider', "Number of F. Japonica Agents",
NUM_FJAPON, 0, 300, 1)
mk_slider = UserSettableParameter('slider',
"Number of M. Kuricola Colonies",
NUM_MK_COL, 0, 100, 1)
ft_slider = UserSettableParameter('slider',
"Number of F. Tropicalis Colonies",
NUM_FT_COL, 0, 100, 1)
# Instantiate the grid the agents will be moving on
grid = CanvasGrid(agent_portrayal, GRID_WIDTH, GRID_HEIGHT, 500, 500)
if VISUALIZE_MODEL:
# Open the visualization server
server = ModularServer(
AntModel, [grid], "L. Niger Model", {
"num_ln": ln_slider,
"num_fj": fj_slider,
"num_mk_col": mk_slider,
"num_ft_col": ft_slider,
"width": GRID_WIDTH,
"height": GRID_HEIGHT
})
server.port = 8521
server.launch()
else:
for j in range(NUM_SIMS):
sim_time_sum = 0
print("Model Initialization #", str(j))
s = time()
model = AntModel(NUM_LNIGER, NUM_FJAPON, NUM_MK_COL, NUM_FT_COL,
GRID_WIDTH, GRID_HEIGHT)
e = time()
sim_time_sum += e - s
print(e - s)
for i in range(STEP_COUNT):
if i % 10 == 0:
print(j, "Step", i)
s = time()
model.step()
e = time()
sim_time_sum += e - s
if i % 10 == 0:
print(e - s)
print("Model #", str(j), "complete. Total time", str(sim_time_sum))
df = model.data_collector.get_agent_vars_dataframe()
df = df.dropna(axis=0)
df.to_csv(path_or_buf="raw_new/out" + str(j) + ".csv")
return 0
def make_server(graphics_option, server_port=8521):
model_label = 'Infectious Disease Simulator'
full_display = [
network,
SupportTextElement('Title: Mean R0', True),
chart_r0,
SupportTextElement(
'Title: Daily count of hosts with different disease states', True),
chart_all_counts,
SupportTextElement(
'Title: Daily count of hosts with different disease states', True),
chart_infectious_and_dead,
SupportTextElement(
'Title: Daily count of hosts with different test-confirmed disease states',
True),
chart_infectious_and_dead_test_confirmed,
SupportTextElement(
'Title: Rate per 1M for cumulative infectious cases', True),
chart_rate_cumulative_infectious,
SupportTextElement('Title: Rate per 1M for cumulative dead cases',
True),
chart_rate_cumulative_dead,
SupportTextElement(
'Title: Daily count of infectious hosts with different symptom states',
True),
chart_infectious_symptom_state,
SupportTextElement(
'Title: Daily count of infectious hosts with different clinical service usage',
True),
chart_clinical_service_use_for_infectious,
SupportTextElement(
'Title: Daily count of recovered hosts with different complication states',
True),
chart_recovered_complication_state,
SupportTextElement(
'Title: Daily count of recovered hosts with different clinical service usage',
True),
chart_clinical_service_use_for_recovered,
MainTextElement(),
]
if graphics_option is 'default':
current_server = ModularServer(HostNetwork, [
network,
SupportTextElement(), chart_all_counts,
MainTextElement()
], model_label, model_params)
elif graphics_option is 'full':
current_server = ModularServer(HostNetwork, full_display, model_label,
model_params)
elif graphics_option is 'full_without_network_graph':
current_server = ModularServer(HostNetwork, full_display[1:],
model_label, model_params)
elif graphics_option is 'text_only':
current_server = ModularServer(HostNetwork, [MainTextElement()],
model_label, model_params)
current_server.port = server_port
return current_server
def launch_basic():
width = 15
height = 10
num_agents = 2
pixel_ratio = 50
grid = CanvasGrid(agent_draw, width, height, width * pixel_ratio, height * pixel_ratio)
server = ModularServer(ShapesModel, [grid], "Basic Example", num_agents, width, height)
server.max_steps = 0
server.port = 8888
server.launch()
def dynamic_run(params: dict):
if params['show_grid']:
# visual grid on which agents move
grid = CanvasGrid(agent_portrayal, params['grid_width'],
params['grid_height'], 500, 500)
visualization_elements.insert(0, grid)
server = ModularServer(InfectionModel, visualization_elements,
"Infection Model", {"params": params})
server.port = 8521
server.launch()
def launch_shape_model():
width = 15
height = 10
num_agents = 2
pixel_ratio = 50
grid = CanvasGrid(agent_draw, width, height,
width * pixel_ratio, height * pixel_ratio)
server = ModularServer(ShapeExample, [grid], "Shape Model Example",
{"N": num_agents, "width": width, "height": height})
server.max_steps = 0
server.port = 8521
server.launch()
def __init__(self, model):
# super().__init__(model=model)
grid = CanvasGrid(self.agent_portrayal, 50, 50, 500, 500)
server = ModularServer(SimpleClusteringModel,
visualization_elements=[grid],
name="Ant Model",
model_params={"mid": model.middel, "num_ants": model.num_ants,
"density_of_particels": model.density_of_particels,
"step_size": model.step_size, "jumping_distance": model.jumping_distance})
server.port = 8525 # The default
server.launch()
pass
def launch_shape_model():
width = 15
height = 10
num_agents = 2
pixel_ratio = 50
grid = CanvasGrid(agent_draw, width, height, width * pixel_ratio,
height * pixel_ratio)
server = ModularServer(ShapesModel, [grid], "Shape Model Example",
num_agents, width, height)
server.max_steps = 0
server.port = 8521
server.launch()
def viz_run(width, height, elev_cells, veg_cells, tracking_type):
grid = CanvasGrid(agent_portrayal, width, height, 1200, 900)
chart = ChartModule([{"Label": "Pack Health",
"Color": "Black"}], canvas_height=200, canvas_width=500,
data_collector_name='datacollector')
chart2 = ChartModule([{"Label": "Pack Average Track Error",
"Color": "Black"}], canvas_height=200, canvas_width=500,
data_collector_name='datacollector')
server = ModularServer(WolfModel,
[grid, chart, chart2],
"WolfSim",
{"N": 25, "width": width, "height": height,
"elev": elev_cells, "veg": veg_cells, "tracking_type": tracking_type})
server.port = 8520 # The defaul
server.launch()
def main():
network = NetworkModule(network_portrayal, 500, 500, library='d3')
N = 10
percInfect = 0.5
percRecover = 0.25
server = ModularServer(DiseaseModel, [network], "Disease Model", {
"N": N,
"percInfect": percInfect,
"percRecover": percRecover
})
server.port = 8521 # The default
server.launch()
def main(x_size, y_size):
""" This function sets up a canvas to graphically represent the model 'MoneyModel'
and a chart, than it runs the server and runs the model in model.py in the browser """
grid = CanvasGrid(agent_portrayal, x_size, y_size, 500, 500)
chart = ChartModule([{"Label": "Gini",
"Color": "Black"}],
data_collector_name='datacollector')
# the simulation uses a class DataCollector, that collects the data and
# relays it from self.datacollector to the webpage
server = ModularServer(MoneyModel,
[grid, chart],
"abcEconomics and MESA integrated",
x_size * y_size, x_size, y_size)
server.port = 8534 # change this number if address is in use
server.launch()
def launch_shape_model():
width = 50
height = 17
num_agents = 2
pixel_ratio = 10
grid = CanvasGrid(agent_draw, width, height, width * pixel_ratio,
height * pixel_ratio)
server = ModularServer(ShapesModel, [grid],
"Shape Model Example",
model_params={
'N': num_agents,
'width': width,
'height': height
})
server.max_steps = 0
server.port = 8888
server.launch()
def main(x_size, y_size):
""" This function sets up a canvas to graphically represent the model 'MoneyModel'
and a chart, than it runs the server and runs the model in model.py in the browser """
grid = CanvasGrid(agent_portrayal, x_size, y_size, 500, 500)
chart = ChartModule([{"Label": "Gini",
"Color": "Black"}],
data_collector_name='datacollector')
# the simulation uses a class DataCollector, that collects the data and
# relays it from self.datacollector to the webpage
server = ModularServer(MoneyModel,
[grid, chart],
"abcEconomics and MESA integrated",
{'num_agents': 1000, 'x_size': x_size, 'y_size': y_size})
server.port = 8534 # change this number if address is in use
server.launch()
def run_interactive_visualization(model,
model_params,
agent_portrayal,
grid_width,
grid_height,
pixel_width=500,
pixel_height=500,
additional_modules=[],
port=8531,
title="SynBioSoc ABM"):
grid = CanvasGrid(agent_portrayal,
grid_width,
grid_height,
canvas_width=pixel_width,
canvas_height=pixel_height)
modules = [grid]
modules.extend(additional_modules)
server = ModularServer(model, modules, title, model_params)
server.port = port
server.launch()
def run(configuration, seed=None):
"""
Run the mesa server
:param configuration: configuration used by the model.
:param seed: random seed. By default None.
"""
"""
to get results for multiple iterations, run underlying code and add this to default.json in configurations:
"inf_threshold": 50,
"active_threshold_t": 0.5,
"graph_type": "GraphType.ERDOS_RENYI.name"
"""
#batch_run = BatchRunner(CivilViolenceModel, fixed_parameters = config, iterations = 10)
#batch_run.run_all()
#data = batch_run.get_model_vars_dataframe()
#data.head()
random.seed(seed)
model_params = get_user_model_parameters()
# By updating model_params with configuration after getting the user settable parameters,
# it let us provide fixed values for our model which won't be overwritten by the user choice.
# Just remove attribute from the configuration file to get user interface back.
model_params.update(
configuration
) # Overwritten user parameters don't appear in the graphic interface
model_params.update({'seed': seed})
server = ModularServer(CivilViolenceModel,
get_visualization_elements(model_params,
show_network=False),
name="Civil violence with network model",
model_params=model_params)
print(model_params)
server.port = 8521
server.launch()
'''
kapital_households_chart = ChartModule([{
"Label": "KapitalH",
"Color": "Blue"
}],
data_collector_name="datacollector")
rate_chart = ChartModule([{
"Label": "Rate",
"Color": "Black"
}],
data_collector_name="sinu_datacollector")
kapital_households_global_chart = ChartModule(
[{
"Label": "KapitalG",
"Color": "Red"
}],
data_collector_name="datacollector")
server2 = ModularServer(
SinuModel,
[kapital_households_chart, kapital_households_global_chart, rate_chart],
"SinuModel", {
"n_households": 20,
"df3": 'pfebtc.xlsx',
"list_kapital_global": btc_model.kapital_global_btcModel
})
server2.port = 8524 #The default
server2.launch()
evacueesChart = ChartModule([{
"Label": "Evacuees",
"Color": "Red"
}],
data_collector_name='data_collector')
evacuatedChart = ChartModule([{
"Label": "Evacuated",
"Color": "Green"
}],
data_collector_name='data_collector')
grid = CanvasGrid(agent_portrayal, 27, 27, 500, 500)
element_list = [grid, evacueesChart, evacuatedChart]
server = ModularServer(EvacuationModel, element_list, "Evacuation Model", {
"N": 250,
"width": 27,
"height": 27
})
'''
server = ModularServer(EvacuationModel,
[grid],
"Evacuation Model",
{"N":1, "width":11, "height":11})
'''
server.port = 8422 # The default
server.launch()
portrayal = {
"Shape": "circle",
"Color": "red",
"Filled": "true",
"Layer": 0,
"r": 0.5
}
return portrayal
# Grid dimension
WIDTH, HEIGHT = 500, 500
# Grid squaring
nb_square_x, nb_square_y = 10, 10
grid = CanvasGrid(agent_portrayal, nb_square_x, nb_square_y, WIDTH,
HEIGHT) # Initialize grid
server = ModularServer(
CivModel, # Initialize Server for Model "CivModel"
[grid], # Print grids
"Dark Forest Model", # Title
{
"N": 5,
"width": 10,
"height": 10
}) # Declare CivModel arguments
server.port = 8521 # Set port
server.launch()
agents[0].wealth),
}
for (node_id, agents) in G.nodes.data('agent')]
portrayal['edges'] = [{'id': edge_id,
'source': source,
'target': target,
'color': '#000000',
}
for edge_id, (source, target) in enumerate(G.edges)]
return portrayal
grid = NetworkModule(network_portrayal, 500, 500, library='sigma')
chart = ChartModule([
{"Label": "Gini", "Color": "Black"}],
data_collector_name='datacollector'
)
model_params = {
"num_agents": UserSettableParameter('slider', "Number of agents", 7, 2, 10, 1,
description="Choose how many agents to include in the model"),
"num_nodes": UserSettableParameter('slider', "Number of nodes", 10, 3, 12, 1,
description="Choose how many nodes to include in the model, with at "
"least the same number of agents")
}
server = ModularServer(BoltzmannWealthModelNetwork, [grid, chart], "Money Model", model_params)
server.port = 8521
"r": 3,
"Filled": "true",
"Color": "Blue"
}
elif agent.airport_type == "Closed":
return {
"Shape": "circle",
"r": 3,
"Filled": "true",
"Color": "Grey"
}
else:
raise Exception("Airport is neither origin or destination")
else:
raise Exception("Trying to display an agent of unknown type")
# Makes a canvas of 500x500 pixels. Increasing or decreasing canvas size should
# not affect results - only visualization.
formation_canvas = SimpleCanvas(boid_draw, 1000, 1000)
chart = ChartModule([{
"Label": "Total Fuel Used",
"Color": "Black"
}],
data_collector_name='datacollector')
server = ModularServer(FormationFlying, [formation_canvas, chart],
"Formations", model_params)
server.port = random.randrange(8500, 9000)
server.launch()
from mesa.visualization.ModularVisualization import ModularServer
from gini import MoneyModel
def agent_portrayal(agent):
portrayal = {"Shape": "circle",
"Filled": "true",
"r": 0.5}
if agent.wealth > 0:
portrayal["Color"] = "red"
portrayal["Layer"] = 0
else:
portrayal["Color"] = "grey"
portrayal["Layer"] = 1
portrayal["r"] = 0.2
return portrayal
grid = CanvasGrid(agent_portrayal, 10, 10, 500, 500)
chart = ChartModule([{"Label": "Gini",
"Color": "Black"}],
data_collector_name='datacollector')
server = ModularServer(MoneyModel,
[grid, chart],
"Money Model",
{"N": 100, "width": 10, "height": 10})
server.port = 8522 # The default
server.launch()
def run_visual():
def network_portrayal(G):
portrayal = dict()
portrayal["nodes"] = []
for n in G.nodes.data():
portrayal["nodes"].append({
"size": node_size_based_on_crowd(n),
"color": n[1]["color"],
})
portrayal["edges"] = []
for source, target in G.edges:
portrayal["edges"].append({
"source": source,
"target": target,
"color": "black",
"width": 1,
})
return portrayal
class Time(TextElement):
def render(self, model):
time = model.date
return str(time)
network = NetworkModule(network_portrayal, 800, 800, library="d3")
chart = ChartModule([{
"Label": "infected",
"Color": "Green"
}, {
"Label": "healthy",
"Color": "Red"
}, {
"Label": "recovered",
"Color": "Blue"
}],
data_collector_name='datacollector')
model_params = {
"p_nodes":
UserSettableParameter("number", "prob nodes", value=0.04),
"healthy_N":
UserSettableParameter("slider", "amount healthy", 95, 1, 500),
"sick_N":
UserSettableParameter("slider", "amount sick", 5, 1, 500),
"altruism":
UserSettableParameter("slider", "altruism", 10, 1, 100),
"infect_score_lower":
UserSettableParameter("slider", "infect_score_lower", -40, -100, 100,
10),
"infect_score_upper":
UserSettableParameter("slider", "infect_score_upper", -20, -100, 100)
}
model_params["network_params"] = [
(model_params["healthy_N"].value + model_params["sick_N"].value,
"House", "Grey"), (15, "Work", "yellow"), (5, "School", "green"),
(3, "Shop", "Brown"), (3, "Bar", "Brown"), (3, "Park", "Brown"),
(1, "University", "Red")
]
server = ModularServer(BaseModel, [network, Time(), chart],
"Infected model", model_params)
server.port = 8521 # The default
server.launch()
[{"Label": "Average Perception of Safety", "Color": "#0000FF"}],
data_collector_name="datacollector"
)
chart2 = ChartModule(
[{"Label": "Crime-rate", "Color": "black"}],
data_collector_name="datacollector"
)
model_params = {
"n_victims": UserSettableParameter('slider', 'Number of Possible Victims', value=50, min_value=0, max_value=100, step=1),
"n_offenders": UserSettableParameter('slider', 'Number of Possible Offernders', value=15, min_value=0, max_value=30, step=1),
"n_criminal_generators": UserSettableParameter('slider', 'Number of Criminal Generators', value=3, min_value=0, max_value=6, step=1),
"r_criminal_generators": UserSettableParameter('slider', 'Radius of the Criminal Generator Area', value=4, min_value=0, max_value=8,
step=1),
"max_cp": UserSettableParameter('slider', 'Upper Bound on Criminal Preference of Offenders', value=0.5, min_value=0,
max_value=1,
step=0.01),
"pop_count": 0,
"height": 50,
"width": 50
}
server = ModularServer(Model,
[grid, chart1, chart2],
"Violent Crime when Walking Home Alone at Night",
model_params)
server.port = 8002
server.launch()
portrayal["Layer"] = 2
portrayal["Shape"] = "rect"
elif type(agent) is IsraelRear:
color = ISRAEL_REAR_COLOR
portrayal["Color"] = color
size = 1.0
portrayal["r"] = portrayal["w"] = portrayal["h"] = size
portrayal["Layer"] = 3
portrayal["Shape"] = "rect"
return portrayal
canvas_element = SeparationBarrierGrid(israeli_palestinian_portrayl, 40, 40, 600, 600)
greed = 4
server = ModularServer(SeparationBarrierModel, [canvas_element],
"Separation Barrier - Greed Level %d" % (greed),
height=40,
width=40,
settlement_density = 0.3,
palestinian_density = 0.2,
settlers_violence_rate = 0.01,
settler_vision = 5,
palestinian_vision = 5,
settlers_growth_rate = 0.01,
suicide_rate = 0.001,
greed_level=greed,
)
server.port = 6666
server.launch()
else:
portrayal["Color"] = "grey"
portrayal["Layer"] = 1
portrayal["r"] = 0.2
return portrayal
# canvas grid with dimensions 10 x 10, drawn in 500 x 500 pixels
grid = CanvasGrid(agent_portrayal, 10, 10, 500, 500)
# plot gini
chart = ChartModule([{
"Label": "Gini",
"Color": "black"
}],
data_collector_name="datacollector")
# user-definable number of agents
# parameter changes don't take place until the model is reset
n_slider = UserSettableParameter("slider", "Number of Agents", 100, 2, 200, 1)
# create server
server = ModularServer(MoneyModel, [grid, chart], "Money Model", {
"N": n_slider,
"width": 10,
"height": 10
})
server.port = 8521 # default
server.launch()
# (Un)masked agents show up as (non-)filled circles
if agent.masked == True:
portrayal['Filled'] = 'true'
if agent.infected == True:
portrayal['Color'] = 'red'
if agent.immune == True:
portrayal['Color'] = 'green'
return portrayal
grid = CanvasGrid(agent_portrayal, 50, 50, 500, 500)
line_charts = ChartModule([{
'Label': 'Susceptible',
'Color': 'lightblue'
}, {
'Label': 'Infected',
'Color': 'red'
}, {
'Label': 'Recovered & Immune',
'Color': 'green'
}])
server = ModularServer(CovidModel, [grid, line_charts],
'COVID Simulation Model', model_params)
server.port = 8521 # default port if unspecified
server.launch()
else:
portrayal["Color"] = "blue"
portrayal["Layer"] = 0
if not agent.alive:
portrayal["Color"] = "black"
portrayal["Layer"] = 0
return portrayal
grid = CanvasGrid(agent_portrayal, sim_params.get('grid_x'),
sim_params.get('grid_y'),
sim_params.get('grid_x') * 4,
sim_params.get('grid_y') * 4)
chart = ChartModule([{
"Label": "Infected",
"Color": "Red"
}, {
"Label": "Immune",
"Color": "Green"
}, {
"Label": "Deaths",
"Color": "Black"
}],
data_collector_name='datacollector')
server = ModularServer(Simulation, [grid, chart], "COVID-19 Model",
{"params": sim_params})
server.port = 8521 # The default
server.launch()
from mesa.visualization.modules import CanvasGrid
from mesa.visualization.modules import ChartModule
from mesa.visualization.ModularVisualization import ModularServer
from MoneyModel import MoneyModel
def agent_portrayal(agent):
portrayal = {"Shape": "circle",
"Filled": "true",
"r": 0.5}
if agent.wealth > 0:
portrayal["Color"] = "red"
portrayal["Layer"] = 0
else:
portrayal["Color"] = "grey"
portrayal["Layer"] = 1
portrayal["r"] = 0.2
return portrayal
grid = CanvasGrid(agent_portrayal, 10, 10, 500, 500)
chart = ChartModule([
{"Label": "Gini", "Color": "Black"}],
data_collector_name='datacollector'
)
server = ModularServer(MoneyModel, [grid, chart], "Money Model", 100, 10, 10)
server.port = 8888
server.launch()
UserSettableParameter(
"slider",
"Academic sector opinion",
0,
-1,
1,
1,
description="Opinion of academic sector stakeholder."),
"civil_opinion":
UserSettableParameter("slider",
"Civil society opinion",
0,
-1,
1,
1,
description="Opinion of civil society stakeholder."),
"media_opinion":
UserSettableParameter("slider",
"Media industry opinion",
0,
-1,
1,
1,
description="Opinion of media industry stakeholder.")
}
# create server
server = ModularServer(SEmodel, [network, MyTextElement(), chart],
"Stakeholder Engagement Model", model_parameters)
server.port = 8518 # default port
def getFridgeTableValues(model):
return list(
map(lambda fridge: fridge.contents.copy(),
model.fridges.copy())) + [model.truck.loadProductAmounts()]
def getFridgeTableFormatings(model):
return [{
"color": color
} for color in colors] + [{
"color": "Black",
"bold": True
}]
class DaysCounter(TextElement):
def render(self, model):
return "Days: %d" % model.schedule.days
grid = CanvasGrid(agentPortrayal, 20, 20, 500, 500)
fridgesStates = TableVisualization(getFridgeTableHeader, getFridgeTableValues,
getFridgeTableFormatings)
daysCounter = DaysCounter()
server = ModularServer(FoodSupplyModel, [grid, fridgesStates, daysCounter],
"Food supply model", 10, 20, 20)
server.port = 8889
server.launch()
"Color": "#0000FF"
}, {
"Label": "netflix",
"Color": "#FF0000"
}, {
"Label": "disneyplus",
"Color": "#00FF00"
}
#{"Label": "appletv", "Color": "#000000"}
])
model_params = {
"quality_amazonprime":
UserSettableParameter('slider', 'Quality amazonprime', 25, 1, 100, 1),
"quality_netflix":
UserSettableParameter('slider', 'Quality netflix', 50, 1, 100, 1),
"quality_disneyplus":
UserSettableParameter('slider', 'Quality disneyplus', 15, 1, 100, 1),
"content_amazonprime":
UserSettableParameter('slider', 'Content amazonprime', 15, 1, 100, 1),
"content_netflix":
UserSettableParameter('slider', 'Content netflix', 5, 1, 100, 1),
"content_disneyplus":
UserSettableParameter('slider', 'Content disneyplus', 7, 1, 100, 1)
#"initial_appletv": UserSettableParameter('slider', 'Initial appletv', 10, 1, 100, 1)
}
server = ModularServer(market, [canvas_element, chart_element],
"DIgital TV Effect", model_params)
server.port = 8521
def agent_portrayal(agent):
portrayal = {"Shape": "circle",
"Filled": "true",
"r": 0.5}
if agent.wealth > 0:
portrayal["Color"] = "green"
portrayal["Layer"] = 0
else:
portrayal["Color"] = "red"
portrayal["Layer"] = 1
portrayal["r"] = 0.5
return portrayal
grid = CanvasGrid(agent_portrayal, 100, 100, 512, 512)
chart1 = ChartModule([{"Label": "Coverage", "Color": "#0000FF"}], data_collector_name='datacollector')
model_params = {
"N": UserSettableParameter('slider', "Number of agents", 16, 1, 200, 1,
description="Choose how many agents to include in the model"),
"width": 100,
"height": 100
}
#server = ModularServer(MoniModel, [grid, chart], "Money Model", model_params)
server = ModularServer(MoniModel, [grid], "Monitoring pattern", model_params)
server.port = 8426
server.launch()