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soil/soil/agents/__init__.py

225 lines
6.4 KiB
Python

# networkStatus = {} # Dict that will contain the status of every agent in the network
# sentimentCorrelationNodeArray = []
# for x in range(0, settings.network_params["number_of_nodes"]):
# sentimentCorrelationNodeArray.append({'id': x})
# Initialize agent states. Let's assume everyone is normal.
import nxsim
import logging
from collections import OrderedDict
from copy import deepcopy
from functools import partial
import json
from functools import wraps
agent_types = {}
class MetaAgent(type):
def __init__(cls, name, bases, nmspc):
super(MetaAgent, cls).__init__(name, bases, nmspc)
agent_types[name] = cls
class BaseAgent(nxsim.BaseAgent, metaclass=MetaAgent):
"""
A special simpy BaseAgent that keeps track of its state history.
"""
defaults = {}
def __init__(self, **kwargs):
self._neighbors = None
self.alive = True
state = deepcopy(self.defaults)
state.update(kwargs.pop('state', {}))
kwargs['state'] = state
super().__init__(**kwargs)
if not hasattr(self, 'level'):
self.level = logging.DEBUG
self.logger = logging.getLogger('Agent-{}'.format(self.id))
self.logger.setLevel(self.level)
def __getitem__(self, key):
if isinstance(key, tuple):
k, t_step = key
return self.env[self.id, t_step, k]
return self.state.get(key, None)
def __delitem__(self, key):
del self.state[key]
def __contains__(self, key):
return key in self.state
def __setitem__(self, key, value):
self.state[key] = value
def get(self, key, default=None):
return self[key] if key in self else default
@property
def now(self):
try:
return self.env.now
except AttributeError:
# No environment
return None
def run(self):
interval = self.env.interval
while self.alive:
res = self.step()
yield res or self.env.timeout(interval)
def die(self, remove=False):
self.alive = False
if remove:
super().die()
def step(self):
pass
def to_json(self):
return json.dumps(self.state)
def count_agents(self, state_id=None, limit_neighbors=False):
if limit_neighbors:
agents = self.global_topology.neighbors(self.id)
else:
agents = self.global_topology.nodes()
count = 0
for agent in agents:
if state_id and state_id != self.global_topology.node[agent]['agent'].state['id']:
continue
count += 1
return count
def count_neighboring_agents(self, state_id=None):
return len(super().get_agents(state_id, limit_neighbors=True))
def get_agents(self, state_id=None, limit_neighbors=False, iterator=False, **kwargs):
if limit_neighbors:
agents = super().get_agents(state_id, limit_neighbors)
else:
agents = filter(lambda x: state_id is None or x.state.get('id', None) == state_id,
self.env.agents)
def matches_all(agent):
state = agent.state
for k, v in kwargs.items():
if state.get(k, None) != v:
return False
return True
f = filter(matches_all, agents)
if iterator:
return f
return list(f)
def log(self, message, *args, level=logging.INFO, **kwargs):
message = message + " ".join(str(i) for i in args)
message = "\t@{:>5}:\t{}".format(self.now, message)
for k, v in kwargs:
message += " {k}={v} ".format(k, v)
extra = {}
extra['now'] = self.now
extra['id'] = self.id
return self.logger.log(level, message, extra=extra)
def debug(self, *args, **kwargs):
return self.log(*args, level=logging.DEBUG, **kwargs)
def info(self, *args, **kwargs):
return self.log(*args, level=logging.INFO, **kwargs)
def state(func):
@wraps(func)
def func_wrapper(self):
when = None
next_state = func(self)
try:
next_state, when = next_state
except TypeError:
pass
if next_state:
try:
self.state['id'] = next_state.id
except AttributeError:
raise ValueError('State id %s is not valid.' % next_state)
return when
func_wrapper.id = func.__name__
func_wrapper.is_default = False
return func_wrapper
def default_state(func):
func.is_default = True
return func
class MetaFSM(MetaAgent):
def __init__(cls, name, bases, nmspc):
super(MetaFSM, cls).__init__(name, bases, nmspc)
states = {}
# Re-use states from inherited classes
default_state = None
for i in bases:
if isinstance(i, MetaFSM):
for state_id, state in i.states.items():
if state.is_default:
default_state = state
states[state_id] = state
# Add new states
for name, func in nmspc.items():
if hasattr(func, 'id'):
if func.is_default:
default_state = func
states[func.id] = func
cls.default_state = default_state
cls.states = states
class FSM(BaseAgent, metaclass=MetaFSM):
def __init__(self, *args, **kwargs):
super(FSM, self).__init__(*args, **kwargs)
if 'id' not in self.state:
self.state['id'] = self.default_state.id
def step(self):
if 'id' in self.state:
next_state = self.state['id']
elif self.default_state:
next_state = self.default_state.id
else:
raise Exception('{} has no valid state id or default state'.format(self))
if next_state not in self.states:
raise Exception('{} is not a valid id for {}'.format(next_state, self))
self.states[next_state](self)
def set_state(self, state):
if hasattr(state, 'id'):
state = state.id
if state not in self.states:
raise ValueError('{} is not a valid state'.format(state))
self.state['id'] = state
from .BassModel import *
from .BigMarketModel import *
from .IndependentCascadeModel import *
from .ModelM2 import *
from .SentimentCorrelationModel import *
from .SISaModel import *
from .CounterModel import *
from .DrawingAgent import *