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294 lines
10 KiB
Python
294 lines
10 KiB
Python
import os
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import sqlite3
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import time
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import weakref
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import csv
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import random
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import simpy
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from copy import deepcopy
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import networkx as nx
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import nxsim
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from . import utils
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class SoilEnvironment(nxsim.NetworkEnvironment):
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def __init__(self, name=None,
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network_agents=None,
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environment_agents=None,
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states=None,
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default_state=None,
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interval=1,
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seed=None,
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dump=False,
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simulation=None,
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*args, **kwargs):
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self.name = name or 'UnnamedEnvironment'
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if isinstance(states, list):
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states = dict(enumerate(states))
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self.states = deepcopy(states) if states else {}
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self.default_state = deepcopy(default_state) or {}
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self.sim = weakref.ref(simulation)
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if 'topology' not in kwargs and simulation:
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kwargs['topology'] = self.sim().topology.copy()
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super().__init__(*args, **kwargs)
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self._env_agents = {}
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self.interval = interval
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self.dump = dump
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# Add environment agents first, so their events get
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# executed before network agents
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self['SEED'] = seed or time.time()
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random.seed(self['SEED'])
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self.process(self.save_state())
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self.environment_agents = environment_agents or []
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self.network_agents = network_agents or []
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if self.dump:
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self._db_path = os.path.join(self.get_path(), '{}.db.sqlite'.format(self.name))
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else:
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self._db_path = ":memory:"
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self.create_db(self._db_path)
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def create_db(self, db_path=None):
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db_path = db_path or self._db_path
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if os.path.exists(db_path):
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newname = db_path.replace('db.sqlite', 'backup{}.sqlite'.format(time.time()))
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os.rename(db_path, newname)
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self._db = sqlite3.connect(db_path)
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with self._db:
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self._db.execute('''CREATE TABLE IF NOT EXISTS history (agent_id text, t_step int, key text, value text, value_type text)''')
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@property
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def agents(self):
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yield from self.environment_agents
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yield from self.network_agents
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@property
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def environment_agents(self):
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for ref in self._env_agents.values():
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yield ref
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@environment_agents.setter
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def environment_agents(self, environment_agents):
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# Set up environmental agent
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self._env_agents = {}
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for item in environment_agents:
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kwargs = deepcopy(item)
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atype = kwargs.pop('agent_type')
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kwargs['agent_id'] = kwargs.get('agent_id', atype.__name__)
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kwargs['state'] = kwargs.get('state', {})
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a = atype(environment=self, **kwargs)
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self._env_agents[a.id] = a
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@property
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def network_agents(self):
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for i in self.G.nodes():
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node = self.G.node[i]
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if 'agent' in node:
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yield node['agent']
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@network_agents.setter
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def network_agents(self, network_agents):
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for ix in self.G.nodes():
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i = ix
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node = self.G.node[i]
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agent, state = utils.agent_from_distribution(network_agents)
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self.set_agent(i, agent_type=agent, state=state)
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def set_agent(self, agent_id, agent_type, state=None):
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node = self.G.nodes[agent_id]
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defstate = deepcopy(self.default_state)
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defstate.update(self.states.get(agent_id, {}))
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if state:
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defstate.update(state)
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state = defstate
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state.update(node.get('state', {}))
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a = agent_type(environment=self,
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agent_id=agent_id,
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state=state)
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node['agent'] = a
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return a
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def add_node(self, agent_type, state=None):
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agent_id = int(len(self.G.nodes()))
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self.G.add_node(agent_id)
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a = self.set_agent(agent_id, agent_type, state)
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a['visible'] = True
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return a
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def add_edge(self, agent1, agent2, attrs=None):
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return self.G.add_edge(agent1, agent2)
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def run(self, *args, **kwargs):
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super().run(*args, **kwargs)
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def _save_state(self, now=None):
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# for agent in self.agents:
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# agent.save_state()
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utils.logger.debug('Saving state @{}'.format(self.now))
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with self._db:
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self._db.executemany("insert into history(agent_id, t_step, key, value, value_type) values (?, ?, ?, ?, ?)", self.state_to_tuples(now=now))
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def save_state(self):
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self._save_state()
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while self.peek() != simpy.core.Infinity:
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delay = max(self.peek() - self.now, self.interval)
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utils.logger.debug('Step: {}'.format(self.now))
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ev = self.event()
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ev._ok = True
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# Schedule the event with minimum priority so
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# that it executes before all agents
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self.schedule(ev, -999, delay)
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yield ev
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self._save_state()
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def __getitem__(self, key):
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if isinstance(key, tuple):
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values = {"agent_id": key[0],
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"t_step": key[1],
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"key": key[2],
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"value": None,
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"value_type": None
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}
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fields = list(k for k, v in values.items() if v is None)
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conditions = " and ".join("{}='{}'".format(k, v) for k, v in values.items() if v is not None)
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query = """SELECT {fields} from history""".format(fields=",".join(fields))
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if conditions:
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query = """{query} where {conditions}""".format(query=query,
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conditions=conditions)
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with self._db:
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rows = self._db.execute(query).fetchall()
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utils.logger.debug(rows)
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results = self.rows_to_dict(rows)
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return results
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return self.environment_params[key]
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def rows_to_dict(self, rows):
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if len(rows) < 1:
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return None
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level = len(rows[0])-2
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if level == 0:
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if len(rows) != 1:
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raise ValueError('Cannot convert {} to dictionaries'.format(rows))
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value, value_type = rows[0]
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return utils.convert(value, value_type)
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results = {}
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for row in rows:
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item = results
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for i in range(level-1):
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key = row[i]
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if key not in item:
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item[key] = {}
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item = item[key]
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key, value, value_type = row[level-1:]
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item[key] = utils.convert(value, value_type)
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return results
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def __setitem__(self, key, value):
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self.environment_params[key] = value
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def __contains__(self, key):
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return key in self.environment_params
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def get(self, key, default=None):
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return self[key] if key in self else default
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def get_path(self, dir_path=None):
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dir_path = dir_path or self.sim().dir_path
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if not os.path.exists(dir_path):
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os.makedirs(dir_path)
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return dir_path
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def get_agent(self, agent_id):
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return self.G.node[agent_id]['agent']
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def get_agents(self):
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return list(self.agents)
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def dump_csv(self, dir_path=None):
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csv_name = os.path.join(self.get_path(dir_path),
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'{}.environment.csv'.format(self.name))
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with open(csv_name, 'w') as f:
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cr = csv.writer(f)
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cr.writerow(('agent_id', 't_step', 'key', 'value', 'value_type'))
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for i in self.history_to_tuples():
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cr.writerow(i)
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def dump_gexf(self, dir_path=None):
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G = self.history_to_graph()
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graph_path = os.path.join(self.get_path(dir_path),
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self.name+".gexf")
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nx.write_gexf(G, graph_path, version="1.2draft")
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def state_to_tuples(self, now=None):
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if now is None:
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now = self.now
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for k, v in self.environment_params.items():
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v, v_t = utils.repr(v)
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yield 'env', now, k, v, v_t
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for agent in self.agents:
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for k, v in agent.state.items():
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v, v_t = utils.repr(v)
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yield agent.id, now, k, v, v_t
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def history_to_tuples(self):
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with self._db:
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res = self._db.execute("select agent_id, t_step, key, value, value_type from history ").fetchall()
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yield from res
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def history_to_graph(self):
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G = nx.Graph(self.G)
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for agent in self.network_agents:
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attributes = {'agent': str(agent.__class__)}
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lastattributes = {}
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spells = []
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lastvisible = False
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laststep = None
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history = self[agent.id, None, None]
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if not history:
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continue
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for t_step, state in reversed(sorted(list(history.items()))):
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for attribute, value in state.items():
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if attribute == 'visible':
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nowvisible = state[attribute]
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if nowvisible and not lastvisible:
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laststep = t_step
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if not nowvisible and lastvisible:
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spells.append((laststep, t_step))
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lastvisible = nowvisible
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else:
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key = 'attr_' + attribute
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if key not in attributes:
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attributes[key] = list()
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if key not in lastattributes:
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lastattributes[key] = (state[attribute], t_step)
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elif lastattributes[key][0] != value:
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last_value, laststep = lastattributes[key]
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value = (last_value, t_step, laststep)
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if key not in attributes:
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attributes[key] = list()
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attributes[key].append(value)
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lastattributes[key] = (state[attribute], t_step)
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for k, v in lastattributes.items():
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attributes[k].append((v[0], 0, v[1]))
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if lastvisible:
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spells.append((laststep, None))
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if spells:
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G.add_node(agent.id, spells=spells, **attributes)
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else:
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G.add_node(agent.id, **attributes)
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return G
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