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soil/examples/programmatic/programmatic_sim.py
J. Fernando Sánchez feab0ba79e Large set of changes for v0.30
The examples weren't being properly tested in the last commit. When we fixed
that a lot of bugs in the new implementation of environment and agent were
found, which accounts for most of these changes.

The main difference is the mechanism to load simulations from a configuration
file. For that to work, we had to rework our module loading code in
`serialization` and add a `source_file` attribute to configurations (and
simulations, for that matter).
2023-04-14 19:41:24 +02:00

54 lines
1.2 KiB
Python

"""
Example of a fully programmatic simulation, without definition files.
"""
from soil import Simulation, Environment, agents
from networkx import Graph
import logging
def mygenerator():
# Add only a node
G = Graph()
G.add_node(1)
G.add_node(2)
return G
class MyAgent(agents.NetworkAgent, agents.FSM):
times_run = 0
@agents.default_state
@agents.state
def neutral(self):
self.debug("I am running")
if self.prob(0.2):
self.times_run += 1
self.info("This runs 2/10 times on average")
class ProgrammaticEnv(Environment):
def init(self):
self.create_network(generator=mygenerator)
assert len(self.G)
self.populate_network(agent_class=MyAgent)
self.add_agent_reporter('times_run')
simulation = Simulation(
name="Programmatic",
model=ProgrammaticEnv,
seed='Program',
num_trials=1,
max_time=100,
dump=False,
)
if __name__ == "__main__":
# By default, logging will only print WARNING logs (and above).
# You need to choose a lower logging level to get INFO/DEBUG traces
logging.basicConfig(level=logging.INFO)
envs = simulation.run()
for agent in envs[0].agents:
print(agent.times_run)