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https://github.com/gsi-upm/soil
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feab0ba79e
The examples weren't being properly tested in the last commit. When we fixed that a lot of bugs in the new implementation of environment and agent were found, which accounts for most of these changes. The main difference is the mechanism to load simulations from a configuration file. For that to work, we had to rework our module loading code in `serialization` and add a `source_file` attribute to configurations (and simulations, for that matter).
121 lines
3.6 KiB
Python
121 lines
3.6 KiB
Python
import os
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import io
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import tempfile
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import shutil
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import sqlite3
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from unittest import TestCase
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from soil import exporters
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from soil import environment
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from soil import simulation
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from soil import agents
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from mesa import Agent as MesaAgent
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class Dummy(exporters.Exporter):
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started = False
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trials = 0
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ended = False
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total_time = 0
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called_start = 0
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called_trial = 0
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called_end = 0
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def sim_start(self):
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self.__class__.called_start += 1
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self.__class__.started = True
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def trial_end(self, env):
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assert env
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self.__class__.trials += 1
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self.__class__.total_time += env.now
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self.__class__.called_trial += 1
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def sim_end(self):
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self.__class__.ended = True
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self.__class__.called_end += 1
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class Exporters(TestCase):
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def test_basic(self):
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# We need to add at least one agent to make sure the scheduler
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# ticks every step
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class SimpleEnv(environment.Environment):
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def init(self):
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self.add_agent(agent_class=MesaAgent)
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num_trials = 5
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max_time = 2
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s = simulation.Simulation(num_trials=num_trials, max_time=max_time, name="exporter_sim",
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dump=False, model=SimpleEnv)
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for env in s.run_simulation(exporters=[Dummy], dump=False):
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assert len(env.agents) == 1
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assert Dummy.started
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assert Dummy.ended
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assert Dummy.called_start == 1
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assert Dummy.called_end == 1
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assert Dummy.called_trial == num_trials
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assert Dummy.trials == num_trials
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assert Dummy.total_time == max_time * num_trials
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def test_writing(self):
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"""Try to write CSV, sqlite and YAML (without no_dump)"""
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n_trials = 5
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n_nodes = 4
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max_time = 2
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config = {
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"name": "exporter_sim",
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"model_params": {
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"network_generator": "complete_graph",
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"network_params": {"n": n_nodes},
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"agent_class": "CounterModel",
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},
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"max_time": max_time,
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"num_trials": n_trials,
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"dump": True,
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}
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output = io.StringIO()
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s = simulation.from_config(config)
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tmpdir = tempfile.mkdtemp()
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envs = s.run_simulation(
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exporters=[
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exporters.default,
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exporters.csv,
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],
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model_params={
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"agent_reporters": {"times": "times"},
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"model_reporters": {
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"constant": lambda x: 1,
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},
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},
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dump=True,
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outdir=tmpdir,
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exporter_params={"copy_to": output},
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)
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result = output.getvalue()
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simdir = os.path.join(tmpdir, s.group or "", s.name)
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with open(os.path.join(simdir, "{}.dumped.yml".format(s.name))) as f:
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result = f.read()
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assert result
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try:
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for e in envs:
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dbpath = os.path.join(simdir, f"{s.name}.sqlite")
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db = sqlite3.connect(dbpath)
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cur = db.cursor()
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agent_entries = cur.execute("SELECT times FROM agents WHERE times > 0").fetchall()
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env_entries = cur.execute("SELECT constant from env WHERE constant == 1").fetchall()
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assert len(agent_entries) == n_nodes * n_trials * max_time
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assert len(env_entries) == n_trials * max_time
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with open(os.path.join(simdir, "{}.env.csv".format(e.id))) as f:
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result = f.read()
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assert result
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finally:
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shutil.rmtree(tmpdir)
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