mirror of
https://github.com/gsi-upm/soil
synced 2024-11-14 15:32:29 +00:00
9749f4ca14
Multithreading needs pickling to work. Pickling/unpickling didn't work in some situations, like when the environment_agents parameter was left blank. This was due to two reasons: 1) agents and history didn't have a setstate method, and some of their attributes cannot be pickled (generators, sqlite connection) 2) the environment was adding generators (agents) to its state. This fixes the situation by restricting the keys that the environment exports when it pickles, and by adding the set/getstate methods in agents. The resulting pickles should contain enough information to inspect them (history, state values, etc), but very limited.
323 lines
10 KiB
Python
323 lines
10 KiB
Python
from unittest import TestCase
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import os
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import yaml
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import pickle
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import networkx as nx
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from functools import partial
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from os.path import join
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from soil import simulation, Environment, agents, utils, history
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ROOT = os.path.abspath(os.path.dirname(__file__))
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EXAMPLES = join(ROOT, '..', 'examples')
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class CustomAgent(agents.BaseAgent):
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def step(self):
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self.state['neighbors'] = self.count_agents(state_id=0,
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limit_neighbors=True)
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class TestMain(TestCase):
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def test_load_graph(self):
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"""
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Load a graph from file if the extension is known.
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Raise an exception otherwise.
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"""
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config = {
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'dry_run': True,
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'network_params': {
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'path': join(ROOT, 'test.gexf')
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}
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}
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G = utils.load_network(config['network_params'])
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assert G
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assert len(G) == 2
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with self.assertRaises(AttributeError):
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config = {
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'dry_run': True,
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'network_params': {
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'path': join(ROOT, 'unknown.extension')
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}
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}
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G = utils.load_network(config['network_params'])
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print(G)
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def test_generate_barabasi(self):
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"""
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If no path is given, a generator and network parameters
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should be used to generate a network
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"""
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config = {
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'dry_run': True,
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'network_params': {
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'generator': 'barabasi_albert_graph'
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}
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}
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with self.assertRaises(TypeError):
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G = utils.load_network(config['network_params'])
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config['network_params']['n'] = 100
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config['network_params']['m'] = 10
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G = utils.load_network(config['network_params'])
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assert len(G) == 100
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def test_empty_simulation(self):
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"""A simulation with a base behaviour should do nothing"""
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config = {
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'dry_run': True,
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'network_params': {
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'path': join(ROOT, 'test.gexf')
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},
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'agent_type': 'BaseAgent',
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'environment_params': {
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}
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}
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s = simulation.from_config(config)
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s.run_simulation(dry_run=True)
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def test_counter_agent(self):
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"""
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The initial states should be applied to the agent and the
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agent should be able to update its state."""
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config = {
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'name': 'CounterAgent',
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'dry_run': True,
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'network_params': {
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'path': join(ROOT, 'test.gexf')
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},
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'agent_type': 'CounterModel',
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'states': [{'times': 10}, {'times': 20}],
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'max_time': 2,
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'num_trials': 1,
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'environment_params': {
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}
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}
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s = simulation.from_config(config)
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env = s.run_simulation(dry_run=True)[0]
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assert env.get_agent(0)['times', 0] == 11
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assert env.get_agent(0)['times', 1] == 12
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assert env.get_agent(1)['times', 0] == 21
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assert env.get_agent(1)['times', 1] == 22
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def test_counter_agent_history(self):
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"""
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The evolution of the state should be recorded in the logging agent
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"""
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config = {
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'name': 'CounterAgent',
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'dry_run': True,
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'network_params': {
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'path': join(ROOT, 'test.gexf')
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},
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'network_agents': [{
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'agent_type': 'AggregatedCounter',
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'weight': 1,
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'state': {'id': 0}
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}],
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'max_time': 10,
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'environment_params': {
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}
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}
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s = simulation.from_config(config)
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env = s.run_simulation(dry_run=True)[0]
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for agent in env.network_agents:
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last = 0
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assert len(agent[None, None]) == 10
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for step, total in sorted(agent['total', None]):
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assert total == last + 2
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last = total
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def test_custom_agent(self):
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"""Allow for search of neighbors with a certain state_id"""
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config = {
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'dry_run': True,
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'network_params': {
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'path': join(ROOT, 'test.gexf')
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},
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'network_agents': [{
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'agent_type': CustomAgent,
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'weight': 1,
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'state': {'id': 0}
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}],
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'max_time': 10,
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'environment_params': {
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}
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}
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s = simulation.from_config(config)
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env = s.run_simulation(dry_run=True)[0]
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assert env.get_agent(0).state['neighbors'] == 1
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def test_torvalds_example(self):
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"""A complete example from a documentation should work."""
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config = utils.load_file(join(EXAMPLES, 'torvalds.yml'))[0]
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config['network_params']['path'] = join(EXAMPLES,
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config['network_params']['path'])
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s = simulation.from_config(config)
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s.dry_run = True
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env = s.run_simulation()[0]
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for a in env.network_agents:
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skill_level = a.state['skill_level']
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if a.id == 'Torvalds':
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assert skill_level == 'God'
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assert a.state['total'] == 3
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assert a.state['neighbors'] == 2
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elif a.id == 'balkian':
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assert skill_level == 'developer'
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assert a.state['total'] == 3
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assert a.state['neighbors'] == 1
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else:
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assert skill_level == 'beginner'
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assert a.state['total'] == 3
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assert a.state['neighbors'] == 1
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def test_yaml(self):
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"""
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The YAML version of a newly created simulation
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should be equivalent to the configuration file used
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"""
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with utils.timer('loading'):
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config = utils.load_file(join(EXAMPLES, 'complete.yml'))[0]
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s = simulation.from_config(config)
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s.dry_run = True
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with utils.timer('serializing'):
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serial = s.to_yaml()
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with utils.timer('recovering'):
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recovered = yaml.load(serial)
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with utils.timer('deleting'):
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del recovered['topology']
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assert config == recovered
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def test_configuration_changes(self):
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"""
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The configuration should not change after running
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the simulation.
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"""
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config = utils.load_file(join(EXAMPLES, 'complete.yml'))[0]
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s = simulation.from_config(config)
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s.dry_run = True
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for i in range(5):
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s.run_simulation(dry_run=True)
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nconfig = s.to_dict()
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del nconfig['topology']
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assert config == nconfig
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def test_row_conversion(self):
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env = Environment(dry_run=True)
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env['test'] = 'test_value'
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res = list(env.history_to_tuples())
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assert len(res) == len(env.environment_params)
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env._now = 1
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env['test'] = 'second_value'
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res = list(env.history_to_tuples())
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assert env['env', 0, 'test' ] == 'test_value'
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assert env['env', 1, 'test' ] == 'second_value'
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def test_save_geometric(self):
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"""
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There is a bug in networkx that prevents it from creating a GEXF file
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from geometric models. We should work around it.
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"""
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G = nx.random_geometric_graph(20, 0.1)
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env = Environment(topology=G, dry_run=True)
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env.dump_gexf('/tmp/dump-gexf')
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def test_save_graph(self):
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'''
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The history_to_graph method should return a valid networkx graph.
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The state of the agent should be encoded as intervals in the nx graph.
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'''
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G = nx.cycle_graph(5)
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distribution = agents.calculate_distribution(None, agents.BaseAgent)
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env = Environment(topology=G, network_agents=distribution, dry_run=True)
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env[0, 0, 'testvalue'] = 'start'
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env[0, 10, 'testvalue'] = 'finish'
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nG = env.history_to_graph()
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values = nG.node[0]['attr_testvalue']
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assert ('start', 0, 10) in values
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assert ('finish', 10, None) in values
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def test_serialize_class(self):
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ser, name = utils.serialize(agents.BaseAgent)
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assert name == 'soil.agents.BaseAgent'
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assert ser == agents.BaseAgent
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ser, name = utils.serialize(CustomAgent)
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assert name == 'test_main.CustomAgent'
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assert ser == CustomAgent
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pickle.dumps(ser)
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def test_serialize_builtin_types(self):
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for i in [1, None, True, False, {}, [], list(), dict()]:
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ser, name = utils.serialize(i)
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assert type(ser) == str
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des = utils.deserialize(name, ser)
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assert i == des
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def test_serialize_agent_type(self):
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'''A class from soil.agents should be serialized without the module part'''
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ser = agents.serialize_type(CustomAgent)
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assert ser == 'test_main.CustomAgent'
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ser = agents.serialize_type(agents.BaseAgent)
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assert ser == 'BaseAgent'
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pickle.dumps(ser)
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def test_deserialize_agent_distribution(self):
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agent_distro = [
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{
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'agent_type': 'CounterModel',
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'weight': 1
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},
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{
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'agent_type': 'test_main.CustomAgent',
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'weight': 2
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},
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]
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converted = agents.deserialize_distribution(agent_distro)
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assert converted[0]['agent_type'] == agents.CounterModel
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assert converted[1]['agent_type'] == CustomAgent
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pickle.dumps(converted)
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def test_serialize_agent_distribution(self):
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agent_distro = [
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{
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'agent_type': agents.CounterModel,
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'weight': 1
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},
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{
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'agent_type': CustomAgent,
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'weight': 2
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},
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]
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converted = agents.serialize_distribution(agent_distro)
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assert converted[0]['agent_type'] == 'CounterModel'
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assert converted[1]['agent_type'] == 'test_main.CustomAgent'
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pickle.dumps(converted)
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def test_pickle_agent_environment(self):
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env = Environment(name='Test')
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a = agents.BaseAgent(environment=env, agent_id=25)
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a['key'] = 'test'
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pickled = pickle.dumps(a)
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recovered = pickle.loads(pickled)
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assert recovered.env.name == 'Test'
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assert recovered['key'] == 'test'
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assert recovered['key', 0] == 'test'
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def test_history(self):
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'''Test storing in and retrieving from history (sqlite)'''
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h = history.History()
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h.save_record(agent_id=0, t_step=0, key="test", value="hello")
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assert h[0, 0, "test"] == "hello"
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