1
0
mirror of https://github.com/gsi-upm/soil synced 2025-09-15 04:32:21 +00:00

Added rabbits

This commit is contained in:
J. Fernando Sánchez
2017-10-16 19:23:52 +02:00
parent dbc182c6d0
commit af76f54a28
11 changed files with 343 additions and 89 deletions

View File

@@ -1,12 +1,16 @@
import os
import time
import csv
import weakref
from random import random
import random
from copy import deepcopy
from functools import partial
import networkx as nx
import nxsim
from . import utils
class SoilEnvironment(nxsim.NetworkEnvironment):
@@ -16,6 +20,8 @@ class SoilEnvironment(nxsim.NetworkEnvironment):
states=None,
default_state=None,
interval=1,
seed=None,
dump=False,
*args, **kwargs):
self.name = name or 'UnnamedEnvironment'
self.states = deepcopy(states) or {}
@@ -25,8 +31,11 @@ class SoilEnvironment(nxsim.NetworkEnvironment):
self._history = {}
self.interval = interval
self.logger = None
self.dump = dump
# Add environment agents first, so their events get
# executed before network agents
self['SEED'] = seed or time.time()
random.seed(self['SEED'])
self.environment_agents = environment_agents or []
self.network_agents = network_agents or []
self.process(self.save_state())
@@ -65,26 +74,32 @@ class SoilEnvironment(nxsim.NetworkEnvironment):
for ix in self.G.nodes():
i = ix
node = self.G.node[i]
v = random()
found = False
for d in network_agents:
threshold = d['threshold']
if v >= threshold[0] and v < threshold[1]:
agent = d['agent_type']
state = None
if 'state' in d:
state = deepcopy(d['state'])
else:
try:
state = self.states[i]
except (IndexError, KeyError):
state = deepcopy(self.default_state)
node['agent'] = agent(environment=self,
agent_id=i,
state=state)
found = True
break
assert found
agent, state = utils.agent_from_distribution(network_agents)
self.set_agent(i, agent_type=agent, state=state)
def set_agent(self, agent_id, agent_type, state=None):
node = self.G.nodes[agent_id]
defstate = deepcopy(self.default_state)
defstate.update(self.states.get(agent_id, {}))
if state:
defstate.update(state)
state = defstate
state.update(node.get('state', {}))
a = agent_type(environment=self,
agent_id=agent_id,
state=state)
node['agent'] = a
return a
def add_node(self, agent_type, state=None):
agent_id = int(len(self.G.nodes()))
self.G.add_node(agent_id)
a = self.set_agent(agent_id, agent_type, state)
a['visible'] = True
return a
def add_edge(self, agent1, agent2, attrs=None):
return self.G.add_edge(agent1, agent2)
def run(self, *args, **kwargs):
self._save_state()
@@ -92,9 +107,12 @@ class SoilEnvironment(nxsim.NetworkEnvironment):
self._save_state()
def _save_state(self):
# for agent in self.agents:
# agent.save_state()
nowd = self._history[self.now] = {}
nowd['env'] = deepcopy(self.environment_params)
for agent in self.agents:
agent.save_state()
self._history[self.now] = deepcopy(self.environment_params)
nowd[agent.id] = deepcopy(agent.state)
def save_state(self):
while True:
@@ -107,11 +125,32 @@ class SoilEnvironment(nxsim.NetworkEnvironment):
self._save_state()
def __getitem__(self, key):
if isinstance(key, tuple):
t_step, agent_id, k = key
def key_or_dict(d, k, nfunc):
if k is None:
if d is None:
return {}
return {k: nfunc(v) for k, v in d.items()}
if k in d:
return nfunc(d[k])
return {}
f1 = partial(key_or_dict, k=k, nfunc=lambda x: x)
f2 = partial(key_or_dict, k=agent_id, nfunc=f1)
return key_or_dict(self._history, t_step, f2)
return self.environment_params[key]
def __setitem__(self, key, value):
self.environment_params[key] = value
def __contains__(self, key):
return key in self.environment_params
def get(self, key, default=None):
return self[key] if key in self else default
def get_path(self, dir_path=None):
dir_path = dir_path or self.sim().dir_path
if not os.path.exists(dir_path):
@@ -141,13 +180,10 @@ class SoilEnvironment(nxsim.NetworkEnvironment):
nx.write_gexf(G, graph_path, version="1.2draft")
def history_to_tuples(self):
for tstep, state in self._history.items():
for attribute, value in state.items():
yield ('env', tstep, attribute, value)
for agent in self.agents:
for tstep, state in agent._history.items():
for tstep, states in self._history.items():
for a_id, state in states.items():
for attribute, value in state.items():
yield (agent.id, tstep, attribute, value)
yield (a_id, tstep, attribute, value)
def history_to_graph(self):
G = nx.Graph(self.G)
@@ -159,7 +195,7 @@ class SoilEnvironment(nxsim.NetworkEnvironment):
spells = []
lastvisible = False
laststep = None
for t_step, state in reversed(list(agent._history.items())):
for t_step, state in reversed(list(self[None, agent.id, None].items())):
for attribute, value in state.items():
if attribute == 'visible':
nowvisible = state[attribute]