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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
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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.
"""
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defaults = {}
def __init__(self, **kwargs):
self._neighbors = None
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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]
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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
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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
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while self.alive:
res = self.step()
yield res or self.env.timeout(interval)
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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):
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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)
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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)
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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)
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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 *