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test_datacollector.py
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"""
Test the DataCollector
"""
import unittest
from mesa import Model, Agent
from mesa.time import BaseScheduler
from mesa.datacollection import DataCollector
class MockAgent(Agent):
"""
Minimalistic agent for testing purposes.
"""
def __init__(self, unique_id, model, val=0):
super().__init__(unique_id, model)
self.val = val
self.val2 = val
def step(self):
"""
Increment vals by 1.
"""
self.val += 1
self.val2 += 1
def write_final_values(self):
"""
Write the final value to the appropriate table.
"""
row = {"agent_id": self.unique_id, "final_value": self.val}
self.model.datacollector.add_table_row("Final_Values", row)
class MockModel(Model):
"""
Minimalistic model for testing purposes.
"""
schedule = BaseScheduler(None)
def __init__(self):
self.schedule = BaseScheduler(self)
self.model_val = 100
for i in range(10):
a = MockAgent(i, self, val=i)
self.schedule.add(a)
self.datacollector = DataCollector(
{
"total_agents": lambda m: m.schedule.get_agent_count(),
"model_value": "model_val",
"model_calc": self.schedule.get_agent_count,
"model_calc_comp": [self.test_model_calc_comp, [3, 4]],
"model_calc_fail": [self.test_model_calc_comp, [12, 0]],
},
{"value": lambda a: a.val, "value2": "val2"},
{"Final_Values": ["agent_id", "final_value"]},
)
def test_model_calc_comp(self, input1, input2):
if input2 > 0:
return (self.model_val * input1) / input2
else:
assert ValueError
return None
def step(self):
self.schedule.step()
self.datacollector.collect(self)
class TestDataCollector(unittest.TestCase):
def setUp(self):
"""
Create the model and run it a set number of steps.
"""
self.model = MockModel()
for i in range(7):
if i == 4:
self.model.schedule.remove(self.model.schedule._agents[3])
self.model.step()
# Write to table:
for agent in self.model.schedule.agents:
agent.write_final_values()
def step_assertion(self, model_var):
for element in model_var:
if model_var.index(element) < 4:
assert element == 10
else:
assert element == 9
def test_model_vars(self):
"""
Test model-level variable collection.
"""
data_collector = self.model.datacollector
assert "total_agents" in data_collector.model_vars
assert "model_value" in data_collector.model_vars
assert "model_calc" in data_collector.model_vars
assert "model_calc_comp" in data_collector.model_vars
assert "model_calc_fail" in data_collector.model_vars
assert len(data_collector.model_vars["total_agents"]) == 7
assert len(data_collector.model_vars["model_value"]) == 7
assert len(data_collector.model_vars["model_calc"]) == 7
assert len(data_collector.model_vars["model_calc_comp"]) == 7
self.step_assertion(data_collector.model_vars["total_agents"])
for element in data_collector.model_vars["model_value"]:
assert element == 100
self.step_assertion(data_collector.model_vars["model_calc"])
for element in data_collector.model_vars["model_calc_comp"]:
assert element == 75
for element in data_collector.model_vars["model_calc_fail"]:
assert element is None
def test_agent_records(self):
"""
Test agent-level variable collection.
"""
data_collector = self.model.datacollector
agent_table = data_collector.get_agent_vars_dataframe()
assert len(data_collector._agent_records) == 7
for step, records in data_collector._agent_records.items():
if step < 5:
assert len(records) == 10
else:
assert len(records) == 9
for values in records:
assert len(values) == 4
assert "value" in list(agent_table.columns)
assert "value2" in list(agent_table.columns)
assert "value3" not in list(agent_table.columns)
with self.assertRaises(KeyError):
data_collector._agent_records[8]
def test_table_rows(self):
"""
Test table collection
"""
data_collector = self.model.datacollector
assert len(data_collector.tables["Final_Values"]) == 2
assert "agent_id" in data_collector.tables["Final_Values"]
assert "final_value" in data_collector.tables["Final_Values"]
for key, data in data_collector.tables["Final_Values"].items():
assert len(data) == 9
with self.assertRaises(Exception):
data_collector.add_table_row("error_table", {})
with self.assertRaises(Exception):
data_collector.add_table_row("Final_Values", {"final_value": 10})
def test_exports(self):
"""
Test DataFrame exports
"""
data_collector = self.model.datacollector
model_vars = data_collector.get_model_vars_dataframe()
agent_vars = data_collector.get_agent_vars_dataframe()
table_df = data_collector.get_table_dataframe("Final_Values")
assert model_vars.shape == (7, 5)
assert agent_vars.shape == (67, 2)
assert table_df.shape == (9, 2)
with self.assertRaises(Exception):
table_df = data_collector.get_table_dataframe("not a real table")
if __name__ == "__main__":
unittest.main()