mirror of
https://github.com/gsi-upm/soil
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WIP: all tests pass
Documentation needs some improvement The API has been simplified to only allow for ONE topology per NetworkEnvironment. This covers the main use case, and simplifies the code.
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10
CHANGELOG.md
10
CHANGELOG.md
@ -5,14 +5,20 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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## [0.3 UNRELEASED]
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### Added
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* Simple debugging capabilities, with a custom `pdb.Debugger` subclass that exposes commands to list agents and their status and set breakpoints on states (for FSM agents)
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* Simple debugging capabilities in `soil.debugging`, with a custom `pdb.Debugger` subclass that exposes commands to list agents and their status and set breakpoints on states (for FSM agents). Try it with `soil --debug <simulation file>`
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* Ability to run
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* Ability to
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* The `soil.exporters` module to export the results of datacollectors (model.datacollector) into files at the end of trials/simulations
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* A modular set of classes for environments/models. Now the ability to configure the agents through an agent definition and a topology through a network configuration is split into two classes (`soil.agents.BaseEnvironment` for agents, `soil.agents.NetworkEnvironment` to add topology).
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* FSM agents can now have generators as states. They work similar to normal states, with one caveat. Only `time` values can be yielded, not a state. This is because the state will not change, it will be resumed after the yield, at the appropriate time. The return value *can* be a state, or a `(state, time)` tuple, just like in normal states.
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### Changed
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* Configuration schema is very different now. Check `soil.config` for more information. We are also using Pydantic for (de)serialization.
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* There may be more than one topology/network in the simulation
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* Agents are split into groups now. Each group may be assigned a given set of agents or an agent distribution, and a network topology to be assigned to.
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* Ability
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### Removed
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* Any `tsih` and `History` integration in the main classes. To record the state of environments/agents, just use a datacollector. In some cases this may be slower or consume more memory than the previous system. However, few cases actually used the full potential of the history, and it came at the cost of unnecessary complexity and worse performance for the majority of cases.
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## [0.20.7]
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### Changed
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* Creating a `time.When` from another `time.When` does not nest them anymore (it returns the argument)
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@ -10,19 +10,14 @@ seed: "CompleteSeed!"
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model_class: Environment
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model_params:
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am_i_complete: true
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topologies:
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default:
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params:
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generator: complete_graph
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n: 10
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another_graph:
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params:
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generator: complete_graph
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n: 2
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topology:
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params:
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generator: complete_graph
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n: 12
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environment:
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agents:
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agent_class: CounterModel
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topology: default
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topology: true
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state:
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times: 1
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# In this group we are not specifying any topology
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@ -30,25 +25,23 @@ model_params:
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- name: 'Environment Agent 1'
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agent_class: BaseAgent
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group: environment
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topology: null
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topology: false
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hidden: true
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state:
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times: 10
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- agent_class: CounterModel
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id: 0
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group: other_counters
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topology: another_graph
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group: fixed_counters
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state:
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times: 1
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total: 0
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- agent_class: CounterModel
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topology: another_graph
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group: other_counters
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group: fixed_counters
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id: 1
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distribution:
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- agent_class: CounterModel
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weight: 1
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group: general_counters
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group: distro_counters
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state:
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times: 3
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- agent_class: AggregatedCounter
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@ -1,63 +0,0 @@
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---
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version: '2'
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id: simple
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group: tests
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dir_path: "/tmp/"
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num_trials: 3
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max_steps: 100
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interval: 1
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seed: "CompleteSeed!"
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model_class: "soil.Environment"
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model_params:
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topologies:
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default:
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params:
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generator: complete_graph
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n: 10
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another_graph:
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params:
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generator: complete_graph
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n: 2
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agents:
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# The values here will be used as default values for any agent
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agent_class: CounterModel
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topology: default
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state:
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times: 1
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# This specifies a distribution of agents, each with a `weight` or an explicit number of agents
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distribution:
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- agent_class: CounterModel
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weight: 1
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# This is inherited from the default settings
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#topology: default
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state:
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times: 3
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- agent_class: AggregatedCounter
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topology: default
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weight: 0.2
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fixed:
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- name: 'Environment Agent 1'
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# All the other agents will assigned to the 'default' group
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group: environment
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# Do not count this agent towards total limits
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hidden: true
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agent_class: soil.BaseAgent
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topology: null
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state:
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times: 10
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- agent_class: CounterModel
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topology: another_graph
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id: 0
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state:
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times: 1
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total: 0
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- agent_class: CounterModel
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topology: another_graph
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id: 1
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override:
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# 2 agents that match this filter will be updated to match the state {times: 5}
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- filter:
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agent_class: AggregatedCounter
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n: 2
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state:
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times: 5
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@ -15,6 +15,7 @@ class Fibonacci(FSM):
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prev, self['prev'] = self['prev'], max([self.now, self['prev']])
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return None, self.env.timeout(prev)
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class Odds(FSM):
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'''Agent that only executes in odd t_steps'''
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@default_state
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@ -23,9 +24,8 @@ class Odds(FSM):
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self.log('Stopping at {}'.format(self.now))
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return None, self.env.timeout(1+self.now%2)
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if __name__ == '__main__':
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import logging
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logging.basicConfig(level=logging.INFO)
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from soil import Simulation
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s = Simulation(network_agents=[{'ids': [0], 'agent_class': Fibonacci},
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{'ids': [1], 'agent_class': Odds}],
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@ -8,17 +8,12 @@ interval: 1
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seed: '1'
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model_class: social_wealth.MoneyEnv
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model_params:
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topologies:
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default:
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params:
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generator: social_wealth.graph_generator
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n: 5
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generator: social_wealth.graph_generator
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agents:
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topology: true
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distribution:
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- agent_class: social_wealth.SocialMoneyAgent
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topology: default
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weight: 1
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mesa_agent_class: social_wealth.MoneyAgent
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N: 10
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width: 50
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height: 50
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@ -2,6 +2,7 @@ from mesa.visualization.ModularVisualization import ModularServer
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from soil.visualization import UserSettableParameter
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from mesa.visualization.modules import ChartModule, NetworkModule, CanvasGrid
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from social_wealth import MoneyEnv, graph_generator, SocialMoneyAgent
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import networkx as nx
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class MyNetwork(NetworkModule):
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@ -13,15 +14,16 @@ def network_portrayal(env):
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# The model ensures there is 0 or 1 agent per node
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portrayal = dict()
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wealths = {node_id: data['agent'].wealth for (node_id, data) in env.G.nodes(data=True)}
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portrayal["nodes"] = [
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{
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"id": agent_id,
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"size": env.get_agent(agent_id).wealth,
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# "color": "#CC0000" if not agents or agents[0].wealth == 0 else "#007959",
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"color": "#CC0000",
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"label": f"{agent_id}: {env.get_agent(agent_id).wealth}",
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}
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for (agent_id) in env.G.nodes
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"id": node_id,
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"size": 2*(wealth+1),
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"color": "#CC0000" if wealth == 0 else "#007959",
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# "color": "#CC0000",
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"label": f"{node_id}: {wealth}",
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} for (node_id, wealth) in wealths.items()
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]
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portrayal["edges"] = [
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@ -29,7 +31,6 @@ def network_portrayal(env):
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for edge_id, (source, target) in enumerate(env.G.edges)
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]
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return portrayal
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@ -55,7 +56,7 @@ def gridPortrayal(agent):
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}
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grid = MyNetwork(network_portrayal, 500, 500, library="sigma")
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grid = MyNetwork(network_portrayal, 500, 500)
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chart = ChartModule(
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[{"Label": "Gini", "Color": "Black"}], data_collector_name="datacollector"
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)
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@ -70,7 +71,6 @@ model_params = {
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1,
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description="Choose how many agents to include in the model",
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),
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"network_agents": [{"agent_class": SocialMoneyAgent}],
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"height": UserSettableParameter(
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"slider",
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"height",
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@ -89,12 +89,15 @@ model_params = {
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1,
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description="Grid width",
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),
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"network_params": {
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'generator': graph_generator
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},
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"agent_class": UserSettableParameter('choice', 'Agent class', value='MoneyAgent',
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choices=['MoneyAgent', 'SocialMoneyAgent']),
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"generator": graph_generator,
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}
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canvas_element = CanvasGrid(gridPortrayal, model_params["width"].value, model_params["height"].value, 500, 500)
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canvas_element = CanvasGrid(gridPortrayal,
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model_params["width"].value,
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model_params["height"].value, 500, 500)
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server = ModularServer(
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@ -10,7 +10,7 @@ from mesa.batchrunner import BatchRunner
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import networkx as nx
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from soil import NetworkAgent, Environment
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from soil import NetworkAgent, Environment, serialization
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def compute_gini(model):
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agent_wealths = [agent.wealth for agent in model.agents]
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@ -19,15 +19,16 @@ def compute_gini(model):
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B = sum( xi * (N-i) for i,xi in enumerate(x) ) / (N*sum(x))
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return (1 + (1/N) - 2*B)
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class MoneyAgent(MesaAgent):
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"""
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A MESA agent with fixed initial wealth.
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It will only share wealth with neighbors based on grid proximity
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"""
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def __init__(self, unique_id, model):
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def __init__(self, unique_id, model, wealth=1):
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super().__init__(unique_id=unique_id, model=model)
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self.wealth = 1
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self.wealth = wealth
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def move(self):
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possible_steps = self.model.grid.get_neighborhood(
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@ -45,7 +46,7 @@ class MoneyAgent(MesaAgent):
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self.wealth -= 1
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def step(self):
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self.info("Crying wolf", self.pos)
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print("Crying wolf", self.pos)
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self.move()
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if self.wealth > 0:
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self.give_money()
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@ -58,8 +59,8 @@ class SocialMoneyAgent(NetworkAgent, MoneyAgent):
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cellmates = set(self.model.grid.get_cell_list_contents([self.pos]))
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friends = set(self.get_neighboring_agents())
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self.info("Trying to give money")
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self.debug("Cellmates: ", cellmates)
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self.debug("Friends: ", friends)
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self.info("Cellmates: ", cellmates)
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self.info("Friends: ", friends)
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nearby_friends = list(cellmates & friends)
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@ -68,14 +69,29 @@ class SocialMoneyAgent(NetworkAgent, MoneyAgent):
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other.wealth += 1
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self.wealth -= 1
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def graph_generator(n=5):
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G = nx.Graph()
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for ix in range(n):
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G.add_edge(0, ix)
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return G
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class MoneyEnv(Environment):
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"""A model with some number of agents."""
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def __init__(self, width, height, *args, topologies, **kwargs):
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def __init__(self, width, height, N, generator=graph_generator,
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agent_class=SocialMoneyAgent,
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topology=None, **kwargs):
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super().__init__(*args, topologies=topologies, **kwargs)
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generator = serialization.deserialize(generator)
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agent_class = serialization.deserialize(agent_class, globs=globals())
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topology = generator(n=N)
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super().__init__(topology=topology,
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N=N,
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**kwargs)
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self.grid = MultiGrid(width, height, False)
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self.populate_network(agent_class=agent_class)
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# Create agents
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for agent in self.agents:
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x = self.random.randrange(self.grid.width)
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@ -87,17 +103,9 @@ class MoneyEnv(Environment):
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agent_reporters={"Wealth": "wealth"})
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def graph_generator(n=5):
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G = nx.Graph()
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for ix in range(n):
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G.add_edge(0, ix)
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return G
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if __name__ == '__main__':
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G = graph_generator()
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fixed_params = {"topology": G,
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fixed_params = {"generator": nx.complete_graph,
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"width": 10,
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"network_agents": [{"agent_class": SocialMoneyAgent,
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'weight': 1}],
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@ -116,4 +124,3 @@ if __name__ == '__main__':
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run_data = batch_run.get_model_vars_dataframe()
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run_data.head()
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print(run_data.Gini)
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@ -126,7 +126,7 @@ class Patron(FSM, NetworkAgent):
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success depend on both agents' openness.
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'''
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if force or self['openness'] > self.random.random():
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self.model.add_edge(self, other_agent)
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self.add_edge(self, other_agent)
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self.info('Made some friend {}'.format(other_agent))
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return True
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return False
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@ -57,7 +57,7 @@ class Male(RabbitModel):
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class Female(RabbitModel):
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gestation = 100
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gestation = 30
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@state
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def fertile(self):
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@ -72,10 +72,10 @@ class Female(RabbitModel):
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self.pregnancy = -1
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self.set_state(self.pregnant, when=self.now)
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self.number_of_babies = int(8+4*self.random.random())
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self.debug('I am pregnant')
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@state
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def pregnant(self):
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self.debug('I am pregnant')
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self.age += 1
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self.pregnancy += 1
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@ -88,7 +88,6 @@ class Female(RabbitModel):
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state = {}
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agent_class = self.random.choice([Male, Female])
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child = self.model.add_node(agent_class=agent_class,
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topology=self.topology,
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**state)
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child.add_edge(self)
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try:
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@ -113,7 +112,7 @@ class RandomAccident(BaseAgent):
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level = logging.INFO
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def step(self):
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rabbits_alive = self.model.topology.number_of_nodes()
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rabbits_alive = self.model.G.number_of_nodes()
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if not rabbits_alive:
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return self.die()
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@ -121,10 +120,15 @@ class RandomAccident(BaseAgent):
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prob_death = self.model.get('prob_death', 1e-100)*math.floor(math.log10(max(1, rabbits_alive)))
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self.debug('Killing some rabbits with prob={}!'.format(prob_death))
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for i in self.iter_agents(agent_class=RabbitModel):
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if i.state.id == i.dead.id:
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if i.state_id == i.dead.id:
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continue
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if self.prob(prob_death):
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self.info('I killed a rabbit: {}'.format(i.id))
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rabbits_alive -= 1
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i.set_state(i.dead)
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self.debug('Rabbits alive: {}'.format(rabbits_alive))
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if __name__ == '__main__':
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from soil import easy
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sim = easy('rabbits.yml')
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sim.run()
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@ -10,18 +10,16 @@ max_time: 100
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model_class: soil.environment.Environment
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model_params:
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agents:
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topology: default
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topology: true
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agent_class: rabbit_agents.RabbitModel
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distribution:
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- agent_class: rabbit_agents.Male
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topology: default
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weight: 1
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- agent_class: rabbit_agents.Female
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topology: default
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weight: 1
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fixed:
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- agent_class: rabbit_agents.RandomAccident
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topology: null
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topology: false
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hidden: true
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state:
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group: environment
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@ -29,13 +27,12 @@ model_params:
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group: network
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mating_prob: 0.1
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prob_death: 0.001
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topologies:
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default:
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topology:
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directed: true
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links: []
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nodes:
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- id: 1
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- id: 0
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topology:
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fixed:
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directed: true
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links: []
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nodes:
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- id: 1
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- id: 0
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extra:
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visualization_params: {}
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|
@ -10,18 +10,16 @@ max_time: 100
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model_class: soil.environment.Environment
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model_params:
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agents:
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topology: default
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topology: true
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agent_class: rabbit_agents.RabbitModel
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distribution:
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- agent_class: rabbit_agents.Male
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topology: default
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weight: 1
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||||
- agent_class: rabbit_agents.Female
|
||||
topology: default
|
||||
weight: 1
|
||||
fixed:
|
||||
- agent_class: rabbit_agents.RandomAccident
|
||||
topology: null
|
||||
topology: false
|
||||
hidden: true
|
||||
state:
|
||||
group: environment
|
||||
@ -29,13 +27,12 @@ model_params:
|
||||
group: network
|
||||
mating_prob: 0.1
|
||||
prob_death: 0.001
|
||||
topologies:
|
||||
default:
|
||||
topology:
|
||||
directed: true
|
||||
links: []
|
||||
nodes:
|
||||
- id: 1
|
||||
- id: 0
|
||||
topology:
|
||||
fixed:
|
||||
directed: true
|
||||
links: []
|
||||
nodes:
|
||||
- id: 1
|
||||
- id: 0
|
||||
extra:
|
||||
visualization_params: {}
|
||||
|
@ -4,7 +4,6 @@ Example of a fully programmatic simulation, without definition files.
|
||||
'''
|
||||
from soil import Simulation, agents
|
||||
from soil.time import Delta
|
||||
import logging
|
||||
|
||||
|
||||
|
||||
@ -40,5 +39,4 @@ s = Simulation(name='Programmatic',
|
||||
dry_run=True)
|
||||
|
||||
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
envs = s.run()
|
||||
|
@ -5,6 +5,6 @@ pyyaml>=5.1
|
||||
pandas>=1
|
||||
SALib>=1.3
|
||||
Jinja2
|
||||
Mesa>=1
|
||||
Mesa>=1.1
|
||||
pydantic>=1.9
|
||||
sqlalchemy>=1.4
|
||||
|
2
setup.py
2
setup.py
@ -53,6 +53,6 @@ setup(
|
||||
include_package_data=True,
|
||||
entry_points={
|
||||
'console_scripts':
|
||||
['soil = soil.__init__:main',
|
||||
['soil = soil.__main__:main',
|
||||
'soil-web = soil.web.__init__:main']
|
||||
})
|
||||
|
@ -21,7 +21,8 @@ from . import serialization
|
||||
from .utils import logger
|
||||
from .time import *
|
||||
|
||||
def main(cfg='simulation.yml', **kwargs):
|
||||
|
||||
def main(cfg='simulation.yml', exporters=None, parallel=None, output="soil_output", *, do_run=False, debug=False, **kwargs):
|
||||
import argparse
|
||||
from . import simulation
|
||||
|
||||
@ -48,16 +49,19 @@ def main(cfg='simulation.yml', **kwargs):
|
||||
help='Dump all data collected in CSV format. Defaults to false.')
|
||||
parser.add_argument('--level', type=str,
|
||||
help='Logging level')
|
||||
parser.add_argument('--output', '-o', type=str, default="soil_output",
|
||||
parser.add_argument('--output', '-o', type=str, default=output or "soil_output",
|
||||
help='folder to write results to. It defaults to the current directory.')
|
||||
parser.add_argument('--synchronous', action='store_true',
|
||||
help='Run trials serially and synchronously instead of in parallel. Defaults to false.')
|
||||
if parallel is None:
|
||||
parser.add_argument('--synchronous', action='store_true',
|
||||
help='Run trials serially and synchronously instead of in parallel. Defaults to false.')
|
||||
|
||||
parser.add_argument('-e', '--exporter', action='append',
|
||||
default=[],
|
||||
help='Export environment and/or simulations using this exporter')
|
||||
|
||||
parser.add_argument('--only-convert', '--convert', action='store_true',
|
||||
help='Do not run the simulation, only convert the configuration file(s) and output them.')
|
||||
|
||||
|
||||
parser.add_argument("--set",
|
||||
metavar="KEY=VALUE",
|
||||
action='append',
|
||||
@ -74,32 +78,49 @@ def main(cfg='simulation.yml', **kwargs):
|
||||
if args.version:
|
||||
return
|
||||
|
||||
if parallel is None:
|
||||
parallel = not args.synchronous
|
||||
|
||||
exporters = exporters or ['default', ]
|
||||
for exp in args.exporter:
|
||||
if exp not in exporters:
|
||||
exporters.append(exp)
|
||||
if args.csv:
|
||||
exporters.append('csv')
|
||||
if args.graph:
|
||||
exporters.append('gexf')
|
||||
|
||||
if os.getcwd() not in sys.path:
|
||||
sys.path.append(os.getcwd())
|
||||
if args.module:
|
||||
importlib.import_module(args.module)
|
||||
if output is None:
|
||||
output = args.output
|
||||
|
||||
|
||||
logger.info('Loading config file: {}'.format(args.file))
|
||||
|
||||
if args.pdb or args.debug:
|
||||
args.synchronous = True
|
||||
if args.debug:
|
||||
os.environ['SOIL_DEBUG'] = 'true'
|
||||
debug = debug or args.debug
|
||||
|
||||
if args.pdb or debug:
|
||||
args.synchronous = True
|
||||
|
||||
|
||||
res = []
|
||||
try:
|
||||
exporters = list(args.exporter or ['default', ])
|
||||
if args.csv:
|
||||
exporters.append('csv')
|
||||
if args.graph:
|
||||
exporters.append('gexf')
|
||||
exp_params = {}
|
||||
if args.dry_run:
|
||||
exp_params['copy_to'] = sys.stdout
|
||||
|
||||
if not os.path.exists(args.file):
|
||||
logger.error('Please, input a valid file')
|
||||
return
|
||||
for sim in simulation.iter_from_config(args.file):
|
||||
|
||||
for sim in simulation.iter_from_config(args.file,
|
||||
dry_run=args.dry_run,
|
||||
exporters=exporters,
|
||||
parallel=parallel,
|
||||
outdir=output,
|
||||
exporter_params=exp_params,
|
||||
**kwargs):
|
||||
if args.set:
|
||||
for s in args.set:
|
||||
k, v = s.split('=', 1)[:2]
|
||||
@ -117,16 +138,14 @@ def main(cfg='simulation.yml', **kwargs):
|
||||
except AttributeError:
|
||||
target[tail] = v
|
||||
|
||||
if args.only_convert:
|
||||
print(sim.to_yaml())
|
||||
continue
|
||||
|
||||
sim.run_simulation(dry_run=args.dry_run,
|
||||
exporters=exporters,
|
||||
parallel=(not args.synchronous),
|
||||
outdir=args.output,
|
||||
exporter_params=exp_params,
|
||||
**kwargs)
|
||||
if args.only_convert:
|
||||
print(sim.to_yaml())
|
||||
continue
|
||||
if do_run:
|
||||
res.append(sim.run())
|
||||
else:
|
||||
print('not running')
|
||||
res.append(sim)
|
||||
|
||||
except Exception as ex:
|
||||
if args.pdb:
|
||||
@ -135,12 +154,16 @@ def main(cfg='simulation.yml', **kwargs):
|
||||
post_mortem()
|
||||
else:
|
||||
raise
|
||||
if debug:
|
||||
from .debugging import set_trace
|
||||
os.environ['SOIL_DEBUG'] = 'true'
|
||||
set_trace()
|
||||
return res
|
||||
|
||||
|
||||
def easy(cfg, debug=False, **kwargs):
|
||||
return main(cfg, **kwargs)[0]
|
||||
|
||||
|
||||
def easy(cfg, debug=False):
|
||||
sim = simulation.from_config(cfg)
|
||||
if debug or os.environ.get('SOIL_DEBUG'):
|
||||
from .debugging import setup
|
||||
setup(sys._getframe().f_back)
|
||||
return sim
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
main(do_run=True)
|
||||
|
@ -1,4 +1,7 @@
|
||||
from . import main
|
||||
from . import main as init_main
|
||||
|
||||
def main():
|
||||
init_main(do_run=True)
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
init_main(do_run=True)
|
||||
|
@ -47,7 +47,7 @@ class MetaAgent(ABCMeta):
|
||||
}
|
||||
|
||||
for attr, func in namespace.items():
|
||||
if isinstance(func, types.FunctionType) or isinstance(func, property) or attr[0] == '_':
|
||||
if isinstance(func, types.FunctionType) or isinstance(func, property) or isinstance(func, classmethod) or attr[0] == '_':
|
||||
new_nmspc[attr] = func
|
||||
elif attr == 'defaults':
|
||||
defaults.update(func)
|
||||
@ -113,21 +113,18 @@ class BaseAgent(MesaAgent, MutableMapping, metaclass=MetaAgent):
|
||||
def id(self):
|
||||
return self.unique_id
|
||||
|
||||
@property
|
||||
def state(self):
|
||||
'''
|
||||
Return the agent itself, which behaves as a dictionary.
|
||||
|
||||
This method shouldn't be used, but is kept here for backwards compatibility.
|
||||
'''
|
||||
return self
|
||||
|
||||
@state.setter
|
||||
def state(self, value):
|
||||
if not value:
|
||||
return
|
||||
for k, v in value.items():
|
||||
self[k] = v
|
||||
@classmethod
|
||||
def from_dict(cls, model, attrs, warn_extra=True):
|
||||
ignored = {}
|
||||
args = {}
|
||||
for k, v in attrs.items():
|
||||
if k in inspect.signature(cls).parameters:
|
||||
args[k] = v
|
||||
else:
|
||||
ignored[k] = v
|
||||
if ignored and warn_extra:
|
||||
utils.logger.info(f'Ignoring the following arguments for agent class { agent_class.__name__ }: { ignored }')
|
||||
return cls(model=model, **args)
|
||||
|
||||
def __getitem__(self, key):
|
||||
try:
|
||||
@ -232,18 +229,27 @@ class NetworkAgent(BaseAgent):
|
||||
def __init__(self, *args, topology, node_id, **kwargs):
|
||||
super().__init__(*args, **kwargs)
|
||||
|
||||
self.topology = topology
|
||||
self.node_id = node_id
|
||||
self.G = self.model.topologies[topology]
|
||||
assert topology is not None
|
||||
assert node_id is not None
|
||||
self.G = topology
|
||||
assert self.G
|
||||
self.node_id = node_id
|
||||
|
||||
def count_neighboring_agents(self, state_id=None, **kwargs):
|
||||
return len(self.get_neighboring_agents(state_id=state_id, **kwargs))
|
||||
|
||||
def get_neighboring_agents(self, state_id=None, **kwargs):
|
||||
return self.get_agents(limit_neighbors=True, state_id=state_id, **kwargs)
|
||||
def get_neighboring_agents(self, **kwargs):
|
||||
return list(self.iter_agents(limit_neighbors=True, **kwargs))
|
||||
|
||||
def iter_agents(self, unique_id=None, limit_neighbors=False, **kwargs):
|
||||
def add_edge(self, other):
|
||||
self.topology.add_edge(self.node_id, other.node_id)
|
||||
|
||||
@property
|
||||
def node(self):
|
||||
return self.topology.nodes[self.node_id]
|
||||
|
||||
|
||||
def iter_agents(self, unique_id=None, *, limit_neighbors=False, **kwargs):
|
||||
unique_ids = None
|
||||
if isinstance(unique_id, list):
|
||||
unique_ids = set(unique_id)
|
||||
@ -253,7 +259,7 @@ class NetworkAgent(BaseAgent):
|
||||
if limit_neighbors:
|
||||
neighbor_ids = set()
|
||||
for node_id in self.G.neighbors(self.node_id):
|
||||
if self.G.nodes[node_id].get('agent_id') is not None:
|
||||
if self.G.nodes[node_id].get('agent') is not None:
|
||||
neighbor_ids.add(node_id)
|
||||
if unique_ids:
|
||||
unique_ids = unique_ids & neighbor_ids
|
||||
@ -697,7 +703,7 @@ def filter_agents(agents, *id_args, unique_id=None, state_id=None, agent_class=N
|
||||
state.update(kwargs)
|
||||
|
||||
for k, v in state.items():
|
||||
f = filter(lambda agent: agent.state.get(k, None) == v, f)
|
||||
f = filter(lambda agent: getattr(agent, k, None) == v, f)
|
||||
|
||||
if limit is not None:
|
||||
f = islice(f, limit)
|
||||
@ -705,7 +711,7 @@ def filter_agents(agents, *id_args, unique_id=None, state_id=None, agent_class=N
|
||||
yield from f
|
||||
|
||||
|
||||
def from_config(cfg: config.AgentConfig, random, topologies: Dict[str, nx.Graph] = None) -> List[Dict[str, Any]]:
|
||||
def from_config(cfg: config.AgentConfig, random, topology: nx.Graph = None) -> List[Dict[str, Any]]:
|
||||
'''
|
||||
This function turns an agentconfig into a list of individual "agent specifications", which are just a dictionary
|
||||
with the parameters that the environment will use to construct each agent.
|
||||
@ -716,40 +722,40 @@ def from_config(cfg: config.AgentConfig, random, topologies: Dict[str, nx.Graph]
|
||||
default = cfg or config.AgentConfig()
|
||||
if not isinstance(cfg, config.AgentConfig):
|
||||
cfg = config.AgentConfig(**cfg)
|
||||
return _agents_from_config(cfg, topologies=topologies, random=random)
|
||||
return _agents_from_config(cfg, topology=topology, random=random)
|
||||
|
||||
|
||||
def _agents_from_config(cfg: config.AgentConfig,
|
||||
topologies: Dict[str, nx.Graph],
|
||||
topology: nx.Graph,
|
||||
random) -> List[Dict[str, Any]]:
|
||||
if cfg and not isinstance(cfg, config.AgentConfig):
|
||||
cfg = config.AgentConfig(**cfg)
|
||||
|
||||
agents = []
|
||||
|
||||
assigned = defaultdict(int)
|
||||
assigned_total = 0
|
||||
assigned_network = 0
|
||||
|
||||
if cfg.fixed is not None:
|
||||
agents, counts = _from_fixed(cfg.fixed, topology=cfg.topology, default=cfg)
|
||||
assigned.update(counts)
|
||||
agents, assigned_total, assigned_network = _from_fixed(cfg.fixed, topology=cfg.topology, default=cfg)
|
||||
|
||||
n = cfg.n
|
||||
|
||||
if cfg.distribution:
|
||||
topo_size = {top: len(topologies[top]) for top in topologies}
|
||||
topo_size = len(topology) if topology else 0
|
||||
|
||||
grouped = defaultdict(list)
|
||||
networked = []
|
||||
total = []
|
||||
|
||||
for d in cfg.distribution:
|
||||
if d.strategy == config.Strategy.topology:
|
||||
topology = d.topology if ('topology' in d.__fields_set__) else cfg.topology
|
||||
if not topology:
|
||||
raise ValueError('The "topology" strategy only works if the topology parameter is specified')
|
||||
if topology not in topo_size:
|
||||
raise ValueError(f'Unknown topology selected: { topology }. Make sure the topology has been defined')
|
||||
topo = d.topology if ('topology' in d.__fields_set__) else cfg.topology
|
||||
if not topo:
|
||||
raise ValueError('The "topology" strategy only works if the topology parameter is set to True')
|
||||
if not topo_size:
|
||||
raise ValueError(f'Topology does not have enough free nodes to assign one to the agent')
|
||||
|
||||
grouped[topology].append(d)
|
||||
networked.append(d)
|
||||
|
||||
if d.strategy == config.Strategy.total:
|
||||
if not cfg.n:
|
||||
@ -757,41 +763,36 @@ def _agents_from_config(cfg: config.AgentConfig,
|
||||
total.append(d)
|
||||
|
||||
|
||||
for (topo, distro) in grouped.items():
|
||||
if not topologies or topo not in topo_size:
|
||||
raise ValueError(
|
||||
'You need to specify a target number of agents for the distribution \
|
||||
or a configuration with a topology, along with a dictionary with \
|
||||
all the available topologies')
|
||||
n = len(topologies[topo])
|
||||
target = topo_size[topo] - assigned[topo]
|
||||
new_agents = _from_distro(cfg.distribution, target,
|
||||
if networked:
|
||||
new_agents = _from_distro(networked,
|
||||
n= topo_size - assigned_network,
|
||||
topology=topo,
|
||||
default=cfg,
|
||||
random=random)
|
||||
assigned[topo] += len(new_agents)
|
||||
assigned_total += len(new_agents)
|
||||
assigned_network += len(new_agents)
|
||||
agents += new_agents
|
||||
|
||||
if total:
|
||||
remaining = n - sum(assigned.values())
|
||||
agents += _from_distro(total, remaining,
|
||||
topology='', # DO NOT assign to any topology
|
||||
default=cfg,
|
||||
random=random)
|
||||
remaining = n - assigned_total
|
||||
agents += _from_distro(total, n=remaining,
|
||||
default=cfg,
|
||||
random=random)
|
||||
|
||||
|
||||
if sum(assigned.values()) != sum(topo_size.values()):
|
||||
if assigned_network < topo_size:
|
||||
utils.logger.warn(f'The total number of agents does not match the total number of nodes in '
|
||||
'every topology. This may be due to a definition error: assigned: '
|
||||
f'{ assigned } total sizes: { topo_size }')
|
||||
f'{ assigned } total size: { topo_size }')
|
||||
|
||||
return agents
|
||||
|
||||
|
||||
def _from_fixed(lst: List[config.FixedAgentConfig], topology: str, default: config.SingleAgentConfig) -> List[Dict[str, Any]]:
|
||||
def _from_fixed(lst: List[config.FixedAgentConfig], topology: bool, default: config.SingleAgentConfig) -> List[Dict[str, Any]]:
|
||||
agents = []
|
||||
|
||||
counts = {}
|
||||
counts_total = 0
|
||||
counts_network = 0
|
||||
|
||||
for fixed in lst:
|
||||
agent = {}
|
||||
@ -803,12 +804,13 @@ def _from_fixed(lst: List[config.FixedAgentConfig], topology: str, default: conf
|
||||
topo = fixed.topology if ('topology' in fixed.__fields_set__) else topology or default.topology
|
||||
|
||||
if topo:
|
||||
agent['topology'] = topo
|
||||
agent['topology'] = True
|
||||
counts_network += 1
|
||||
if not fixed.hidden:
|
||||
counts[topo] = counts.get(topo, 0) + 1
|
||||
counts_total += 1
|
||||
agents.append(agent)
|
||||
|
||||
return agents, counts
|
||||
return agents, counts_total, counts_network
|
||||
|
||||
|
||||
def _from_distro(distro: List[config.AgentDistro],
|
||||
@ -854,7 +856,6 @@ def _from_distro(distro: List[config.AgentDistro],
|
||||
agent['agent_class'] = cls
|
||||
if default:
|
||||
agent.update(default.state)
|
||||
# agent = cls(unique_id=agent_id, model=env, **state)
|
||||
topology = d.topology if ('topology' in d.__fields_set__) else topology or default.topology
|
||||
if topology:
|
||||
agent['topology'] = topology
|
||||
|
@ -43,7 +43,7 @@ class NetParams(BaseModel, extra=Extra.allow):
|
||||
|
||||
class NetConfig(BaseModel):
|
||||
params: Optional[NetParams]
|
||||
topology: Optional[Union[Topology, nx.Graph]]
|
||||
fixed: Optional[Union[Topology, nx.Graph]]
|
||||
path: Optional[str]
|
||||
|
||||
class Config:
|
||||
@ -70,7 +70,7 @@ class EnvConfig(BaseModel):
|
||||
class SingleAgentConfig(BaseModel):
|
||||
agent_class: Optional[Union[Type, str]] = None
|
||||
unique_id: Optional[int] = None
|
||||
topology: Optional[str] = None
|
||||
topology: Optional[bool] = False
|
||||
node_id: Optional[Union[int, str]] = None
|
||||
state: Optional[Dict[str, Any]] = {}
|
||||
|
||||
@ -81,8 +81,8 @@ class FixedAgentConfig(SingleAgentConfig):
|
||||
|
||||
@root_validator
|
||||
def validate_all(cls, values):
|
||||
if values.get('agent_id', None) is not None and values.get('n', 1) > 1:
|
||||
raise ValueError(f"An agent_id can only be provided when there is only one agent ({values.get('n')} given)")
|
||||
if values.get('unique_id', None) is not None and values.get('n', 1) > 1:
|
||||
raise ValueError(f"An unique_id can only be provided when there is only one agent ({values.get('n')} given)")
|
||||
return values
|
||||
|
||||
|
||||
@ -102,7 +102,6 @@ class AgentDistro(SingleAgentConfig):
|
||||
|
||||
class AgentConfig(SingleAgentConfig):
|
||||
n: Optional[int] = None
|
||||
topology: Optional[str]
|
||||
distribution: Optional[List[AgentDistro]] = None
|
||||
fixed: Optional[List[FixedAgentConfig]] = None
|
||||
override: Optional[List[OverrideAgentConfig]] = None
|
||||
@ -171,9 +170,9 @@ def convert_old(old, strict=True):
|
||||
else:
|
||||
network.setdefault('params', {})[k] = v
|
||||
|
||||
topologies = {}
|
||||
topology = None
|
||||
if network:
|
||||
topologies['default'] = network
|
||||
topology = network
|
||||
|
||||
|
||||
agents = {'fixed': [], 'distribution': []}
|
||||
@ -195,7 +194,7 @@ def convert_old(old, strict=True):
|
||||
agent['state']['name'] = agent['agent_id']
|
||||
del agent['agent_id']
|
||||
agent['hidden'] = True
|
||||
agent['topology'] = None
|
||||
agent['topology'] = False
|
||||
fixed.append(updated_agent(agent))
|
||||
del new['environment_agents']
|
||||
|
||||
@ -209,7 +208,7 @@ def convert_old(old, strict=True):
|
||||
agents['state'] = old['default_state']
|
||||
|
||||
if 'network_agents' in old:
|
||||
agents['topology'] = 'default'
|
||||
agents['topology'] = True
|
||||
|
||||
agents.setdefault('state', {})['group'] = 'network'
|
||||
|
||||
@ -224,7 +223,7 @@ def convert_old(old, strict=True):
|
||||
del new['network_agents']
|
||||
|
||||
if 'agent_class' in old and (not fixed and not by_weight):
|
||||
agents['topology'] = 'default'
|
||||
agents['topology'] = True
|
||||
by_weight = [{'agent_class': old['agent_class'], 'weight': 1}]
|
||||
|
||||
|
||||
@ -258,7 +257,7 @@ def convert_old(old, strict=True):
|
||||
del new['dump']
|
||||
new['dry_run'] = not old['dump']
|
||||
|
||||
model_params['topologies'] = topologies
|
||||
model_params['topology'] = topology
|
||||
model_params['agents'] = agents
|
||||
|
||||
return Config(version='2',
|
||||
|
@ -30,7 +30,9 @@ def wrapcmd(func):
|
||||
class Debug(pdb.Pdb):
|
||||
def __init__(self, *args, skip_soil=False, **kwargs):
|
||||
skip = kwargs.get('skip', [])
|
||||
skip.append('soil')
|
||||
if skip_soil:
|
||||
skip.append('soil')
|
||||
skip.append('soil.*')
|
||||
skip.append('mesa.*')
|
||||
super(Debug, self).__init__(*args, skip=skip, **kwargs)
|
||||
@ -54,8 +56,14 @@ class Debug(pdb.Pdb):
|
||||
|
||||
do_sl = do_soil_list
|
||||
|
||||
def do_continue_state(self, arg):
|
||||
self.do_break_state(arg, temporary=True)
|
||||
return self.do_continue('')
|
||||
|
||||
do_cs = do_continue_state
|
||||
|
||||
@wrapcmd
|
||||
def do_soil_self():
|
||||
def do_soil_agent():
|
||||
if not agent:
|
||||
print('No agent available')
|
||||
return
|
||||
@ -70,23 +78,31 @@ class Debug(pdb.Pdb):
|
||||
|
||||
print(agent.to_str(pretty=True, keys=keys))
|
||||
|
||||
do_ss = do_soil_self
|
||||
do_aa = do_soil_agent
|
||||
|
||||
def do_break_state(self, arg: str, temporary=False):
|
||||
def do_break_state(self, arg: str, instances=None, temporary=False):
|
||||
'''
|
||||
Break before a specified state is stepped into.
|
||||
'''
|
||||
|
||||
klass = None
|
||||
state = arg.strip()
|
||||
state = arg
|
||||
if not state:
|
||||
self.error("Specify at least a state name")
|
||||
return
|
||||
|
||||
comma = arg.find(':')
|
||||
if comma > 0:
|
||||
state = arg[comma+1:].lstrip()
|
||||
klass = arg[:comma].rstrip()
|
||||
state, *tokens = state.lstrip().split()
|
||||
if tokens:
|
||||
instances = list(eval(token) for token in tokens)
|
||||
|
||||
colon = state.find(':')
|
||||
|
||||
if colon > 0:
|
||||
klass = state[:colon].rstrip()
|
||||
state = state[colon+1:].strip()
|
||||
|
||||
|
||||
print(klass, state, tokens)
|
||||
klass = eval(klass,
|
||||
self.curframe.f_globals,
|
||||
self.curframe_locals)
|
||||
@ -95,14 +111,16 @@ class Debug(pdb.Pdb):
|
||||
klasses = [klass]
|
||||
else:
|
||||
klasses = [k for k in self.curframe.f_globals.values() if isinstance(k, type) and issubclass(k, FSM)]
|
||||
print(klasses)
|
||||
if not klasses:
|
||||
self.error('No agent classes found')
|
||||
|
||||
if not klasses:
|
||||
self.error('No agent classes found')
|
||||
|
||||
|
||||
for klass in klasses:
|
||||
try:
|
||||
func = getattr(klass, state)
|
||||
except AttributeError:
|
||||
self.error(f'State {state} not found in class {klass}')
|
||||
continue
|
||||
if hasattr(func, '__func__'):
|
||||
func = func.__func__
|
||||
@ -120,6 +138,9 @@ class Debug(pdb.Pdb):
|
||||
raise ValueError('no line found')
|
||||
# now set the break point
|
||||
cond = None
|
||||
if instances:
|
||||
cond = f'self.unique_id in { repr(instances) }'
|
||||
|
||||
existing = self.get_breaks(filename, line)
|
||||
if existing:
|
||||
self.message("Breakpoint already exists at %s:%d" %
|
||||
@ -132,20 +153,39 @@ class Debug(pdb.Pdb):
|
||||
bp = self.get_breaks(filename, line)[-1]
|
||||
self.message("Breakpoint %d at %s:%d" %
|
||||
(bp.number, bp.file, bp.line))
|
||||
|
||||
do_bs = do_break_state
|
||||
|
||||
def do_break_state_self(self, arg: str, temporary=False):
|
||||
'''
|
||||
Break before a specified state is stepped into, for the current agent
|
||||
'''
|
||||
agent = self.curframe.f_locals.get('self')
|
||||
if not agent:
|
||||
self.error('No current agent.')
|
||||
self.error('Try this again when the debugger is stopped inside an agent')
|
||||
return
|
||||
|
||||
def setup(frame=None):
|
||||
debugger = Debug()
|
||||
arg = f'{agent.__class__.__name__}:{ arg } {agent.unique_id}'
|
||||
return self.do_break_state(arg)
|
||||
|
||||
do_bss = do_break_state_self
|
||||
|
||||
|
||||
debugger = None
|
||||
|
||||
def set_trace(frame=None, **kwargs):
|
||||
global debugger
|
||||
if debugger is None:
|
||||
debugger = Debug(**kwargs)
|
||||
frame = frame or sys._getframe().f_back
|
||||
debugger.set_trace(frame)
|
||||
|
||||
def debug_env():
|
||||
if os.environ.get('SOIL_DEBUG'):
|
||||
return setup(frame=sys._getframe().f_back)
|
||||
|
||||
def post_mortem(traceback=None):
|
||||
p = Debug()
|
||||
global debugger
|
||||
if debugger is None:
|
||||
debugger = Debug(**kwargs)
|
||||
t = sys.exc_info()[2]
|
||||
p.reset()
|
||||
p.interaction(None, t)
|
||||
debugger.reset()
|
||||
debugger.interaction(None, t)
|
||||
|
@ -5,6 +5,7 @@ import sqlite3
|
||||
import math
|
||||
import random
|
||||
import logging
|
||||
import inspect
|
||||
|
||||
from typing import Any, Dict, Optional, Union
|
||||
from collections import namedtuple
|
||||
@ -21,9 +22,6 @@ from mesa.datacollection import DataCollector
|
||||
from . import agents as agentmod, config, serialization, utils, time, network
|
||||
|
||||
|
||||
Record = namedtuple('Record', 'dict_id t_step key value')
|
||||
|
||||
|
||||
class BaseEnvironment(Model):
|
||||
"""
|
||||
The environment is key in a simulation. It controls how agents interact,
|
||||
@ -51,6 +49,8 @@ class BaseEnvironment(Model):
|
||||
**env_params):
|
||||
|
||||
super().__init__(seed=seed)
|
||||
self.env_params = env_params or {}
|
||||
|
||||
self.current_id = -1
|
||||
|
||||
self.id = id
|
||||
@ -63,11 +63,8 @@ class BaseEnvironment(Model):
|
||||
|
||||
self.agent_class = agent_class or agentmod.BaseAgent
|
||||
|
||||
self.init_agents(agents)
|
||||
|
||||
self.env_params = env_params or {}
|
||||
|
||||
self.interval = interval
|
||||
self.init_agents(agents)
|
||||
|
||||
self.logger = utils.logger.getChild(self.id)
|
||||
|
||||
@ -77,7 +74,10 @@ class BaseEnvironment(Model):
|
||||
tables=tables,
|
||||
)
|
||||
|
||||
def _read_single_agent(self, agent):
|
||||
def _agent_from_dict(self, agent):
|
||||
'''
|
||||
Translate an agent dictionary into an agent
|
||||
'''
|
||||
agent = dict(**agent)
|
||||
cls = agent.pop('agent_class', None) or self.agent_class
|
||||
unique_id = agent.pop('unique_id', None)
|
||||
@ -88,6 +88,14 @@ class BaseEnvironment(Model):
|
||||
model=self, **agent)
|
||||
|
||||
def init_agents(self, agents: Union[config.AgentConfig, [Dict[str, Any]]] = {}):
|
||||
'''
|
||||
Initialize the agents in the model from either a `soil.config.AgentConfig` or a list of
|
||||
dictionaries that each describes an agent.
|
||||
|
||||
If given a list of dictionaries, an agent will be created for each dictionary. The agent
|
||||
class can be specified through the `agent_class` key. The rest of the items will be used
|
||||
as parameters to the agent.
|
||||
'''
|
||||
if not agents:
|
||||
return
|
||||
|
||||
@ -98,13 +106,11 @@ class BaseEnvironment(Model):
|
||||
lst = config.AgentConfig(**agents)
|
||||
if lst.override:
|
||||
override = lst.override
|
||||
lst = agentmod.from_config(lst,
|
||||
topologies=getattr(self, 'topologies', None),
|
||||
random=self.random)
|
||||
lst = self._agent_dict_from_config(lst)
|
||||
|
||||
#TODO: check override is working again. It cannot (easily) be part of agents.from_config anymore,
|
||||
# because it needs attribute such as unique_id, which are only present after init
|
||||
new_agents = [self._read_single_agent(agent) for agent in lst]
|
||||
new_agents = [self._agent_from_dict(agent) for agent in lst]
|
||||
|
||||
|
||||
for a in new_agents:
|
||||
@ -115,6 +121,9 @@ class BaseEnvironment(Model):
|
||||
for attr, value in rule.state.items():
|
||||
setattr(agent, attr, value)
|
||||
|
||||
def _agent_dict_from_config(self, cfg):
|
||||
return agentmod.from_config(cfg,
|
||||
random=self.random)
|
||||
|
||||
@property
|
||||
def agents(self):
|
||||
@ -133,12 +142,15 @@ class BaseEnvironment(Model):
|
||||
raise Exception('The environment has not been scheduled, so it has no sense of time')
|
||||
|
||||
|
||||
def add_agent(self, agent_id, agent_class, **kwargs):
|
||||
def add_agent(self, agent_class, unique_id=None, **kwargs):
|
||||
a = None
|
||||
if agent_class:
|
||||
a = agent_class(model=self,
|
||||
unique_id=agent_id,
|
||||
**kwargs)
|
||||
if unique_id is None:
|
||||
unique_id = self.next_id()
|
||||
|
||||
|
||||
a = agent_class(model=self,
|
||||
unique_id=unique_id,
|
||||
**args)
|
||||
|
||||
self.schedule.add(a)
|
||||
return a
|
||||
@ -180,123 +192,109 @@ class BaseEnvironment(Model):
|
||||
def __setitem__(self, key, value):
|
||||
return self.env_params.__setitem__(key, value)
|
||||
|
||||
def _agent_to_tuples(self, agent, now=None):
|
||||
if now is None:
|
||||
now = self.now
|
||||
for k, v in agent.state.items():
|
||||
yield Record(dict_id=agent.id,
|
||||
t_step=now,
|
||||
key=k,
|
||||
value=v)
|
||||
|
||||
def state_to_tuples(self, agent_id=None, now=None):
|
||||
if now is None:
|
||||
now = self.now
|
||||
|
||||
if agent_id:
|
||||
agent = self.agents[agent_id]
|
||||
yield from self._agent_to_tuples(agent, now)
|
||||
return
|
||||
|
||||
for k, v in self.env_params.items():
|
||||
yield Record(dict_id='env',
|
||||
t_step=now,
|
||||
key=k,
|
||||
value=v)
|
||||
for agent in self.agents:
|
||||
yield from self._agent_to_tuples(agent, now)
|
||||
def __str__(self):
|
||||
return str(self.env_params)
|
||||
|
||||
|
||||
class NetworkEnvironment(BaseEnvironment):
|
||||
'''
|
||||
The NetworkEnvironment is an environment that includes one or more networkx.Graph intances
|
||||
and methods to associate agents to nodes and vice versa.
|
||||
'''
|
||||
|
||||
def __init__(self, *args, topology: nx.Graph = None, topologies: Dict[str, config.NetConfig] = {}, **kwargs):
|
||||
def __init__(self, *args, topology: Union[config.NetConfig, nx.Graph] = None, **kwargs):
|
||||
agents = kwargs.pop('agents', None)
|
||||
super().__init__(*args, agents=None, **kwargs)
|
||||
self._node_ids = {}
|
||||
assert not hasattr(self, 'topologies')
|
||||
if topology is not None:
|
||||
if topologies:
|
||||
raise ValueError('Please, provide either a single topology or a dictionary of them')
|
||||
topologies = {'default': topology}
|
||||
|
||||
self.topologies = {}
|
||||
for (name, cfg) in topologies.items():
|
||||
self.set_topology(cfg=cfg, graph=name)
|
||||
self._set_topology(topology)
|
||||
|
||||
self.init_agents(agents)
|
||||
|
||||
def init_agents(self, *args, **kwargs):
|
||||
'''Initialize the agents from a '''
|
||||
super().init_agents(*args, **kwargs)
|
||||
for agent in self.schedule._agents.values():
|
||||
if hasattr(agent, 'node_id'):
|
||||
self._init_node(agent)
|
||||
|
||||
def _read_single_agent(self, agent, unique_id=None):
|
||||
def _init_node(self, agent):
|
||||
'''
|
||||
Make sure the node for a given agent has the proper attributes.
|
||||
'''
|
||||
self.G.nodes[agent.node_id]['agent'] = agent
|
||||
|
||||
def _agent_dict_from_config(self, cfg):
|
||||
return agentmod.from_config(cfg,
|
||||
topology=self.G,
|
||||
random=self.random)
|
||||
|
||||
def _agent_from_dict(self, agent, unique_id=None):
|
||||
agent = dict(agent)
|
||||
|
||||
if agent.get('topology', None) is not None:
|
||||
topology = agent.get('topology')
|
||||
if unique_id is None:
|
||||
unique_id = self.next_id()
|
||||
if topology:
|
||||
node_id = self.agent_to_node(unique_id, graph_name=topology, node_id=agent.get('node_id'))
|
||||
agent['node_id'] = node_id
|
||||
agent['topology'] = topology
|
||||
agent['unique_id'] = unique_id
|
||||
if not agent.get('topology', False):
|
||||
return super()._agent_from_dict(agent)
|
||||
|
||||
return super()._read_single_agent(agent)
|
||||
|
||||
if unique_id is None:
|
||||
unique_id = self.next_id()
|
||||
node_id = agent.get('node_id', None)
|
||||
if node_id is None:
|
||||
node_id = network.find_unassigned(self.G, random=self.random)
|
||||
agent['node_id'] = node_id
|
||||
agent['unique_id'] = unique_id
|
||||
agent['topology'] = self.G
|
||||
node_attrs = self.G.nodes[node_id]
|
||||
node_attrs.update(agent)
|
||||
agent = node_attrs
|
||||
|
||||
@property
|
||||
def topology(self):
|
||||
return self.topologies['default']
|
||||
a = super()._agent_from_dict(agent)
|
||||
self._init_node(a)
|
||||
|
||||
def set_topology(self, cfg=None, dir_path=None, graph='default'):
|
||||
topology = cfg
|
||||
if not isinstance(cfg, nx.Graph):
|
||||
topology = network.from_config(cfg, dir_path=dir_path or self.dir_path)
|
||||
return a
|
||||
|
||||
self.topologies[graph] = topology
|
||||
def _set_topology(self, cfg=None, dir_path=None):
|
||||
if cfg is None:
|
||||
cfg = nx.Graph()
|
||||
elif not isinstance(cfg, nx.Graph):
|
||||
cfg = network.from_config(cfg, dir_path=dir_path or self.dir_path)
|
||||
|
||||
def topology_for(self, unique_id):
|
||||
return self.topologies[self._node_ids[unique_id][0]]
|
||||
self.G = cfg
|
||||
|
||||
@property
|
||||
def network_agents(self):
|
||||
yield from self.agents(agent_class=agentmod.NetworkAgent)
|
||||
for a in self.schedule._agents:
|
||||
if isinstance(a, agentmod.NetworkAgent):
|
||||
yield a
|
||||
|
||||
def agent_to_node(self, unique_id, graph_name='default',
|
||||
node_id=None, shuffle=False):
|
||||
node_id = network.agent_to_node(G=self.topologies[graph_name],
|
||||
agent_id=unique_id,
|
||||
node_id=node_id,
|
||||
shuffle=shuffle,
|
||||
random=self.random)
|
||||
def add_node(self, agent_class, unique_id=None, node_id=None, **kwargs):
|
||||
if unique_id is None:
|
||||
unique_id = self.next_id()
|
||||
if node_id is None:
|
||||
node_id = network.find_unassigned(G=self.G,
|
||||
shuffle=True,
|
||||
random=self.random)
|
||||
|
||||
if node_id in G.nodes:
|
||||
self.G.nodes[node_id]['agent'] = None # Reserve
|
||||
else:
|
||||
self.G.add_node(node_id)
|
||||
|
||||
self._node_ids[unique_id] = (graph_name, node_id)
|
||||
return node_id
|
||||
|
||||
def add_node(self, agent_class, topology, **kwargs):
|
||||
unique_id = self.next_id()
|
||||
self.topologies[topology].add_node(unique_id)
|
||||
node_id = self.agent_to_node(unique_id=unique_id, node_id=unique_id, graph_name=topology)
|
||||
|
||||
a = self.add_agent(unique_id=unique_id, agent_class=agent_class, node_id=node_id, topology=topology, **kwargs)
|
||||
a = self.add_agent(unique_id=unique_id, agent_class=agent_class, node_id=node_id, **kwargs)
|
||||
a['visible'] = True
|
||||
return a
|
||||
|
||||
def add_edge(self, agent1, agent2, start=None, graph='default', **attrs):
|
||||
agent1 = agent1.node_id
|
||||
agent2 = agent2.node_id
|
||||
return self.topologies[graph].add_edge(agent1, agent2, start=start)
|
||||
def agent_for_node_id(self, node_id):
|
||||
return self.G.nodes[node_id].get('agent')
|
||||
|
||||
def add_agent(self, unique_id, state=None, graph='default', **kwargs):
|
||||
node = self.topologies[graph].nodes[unique_id]
|
||||
node_state = node.get('state', {})
|
||||
if node_state:
|
||||
node_state.update(state or {})
|
||||
state = node_state
|
||||
a = super().add_agent(unique_id, state=state, **kwargs)
|
||||
node['agent'] = a
|
||||
return a
|
||||
|
||||
def node_id_for(self, agent_id):
|
||||
return self._node_ids[agent_id][1]
|
||||
def populate_network(self, agent_class, weights=None, **agent_params):
|
||||
if not hasattr(agent_class, 'len'):
|
||||
agent_class = [agent_class]
|
||||
weights = None
|
||||
for (node_id, node) in self.G.nodes(data=True):
|
||||
if 'agent' in node:
|
||||
continue
|
||||
a_class = self.random.choices(agent_class, weights)[0]
|
||||
self.add_agent(node_id=node_id,
|
||||
agent_class=a_class, **agent_params)
|
||||
|
||||
|
||||
Environment = NetworkEnvironment
|
||||
|
@ -1,4 +1,5 @@
|
||||
import os
|
||||
import sys
|
||||
from time import time as current_time
|
||||
from io import BytesIO
|
||||
from sqlalchemy import create_engine
|
||||
@ -52,6 +53,8 @@ class Exporter:
|
||||
simulation.group or '',
|
||||
simulation.name)
|
||||
self.dry_run = dry_run
|
||||
if copy_to is None and dry_run:
|
||||
copy_to = sys.stdout
|
||||
self.copy_to = copy_to
|
||||
|
||||
def sim_start(self):
|
||||
@ -94,14 +97,19 @@ class default(Exporter):
|
||||
logger.info('NOT dumping results')
|
||||
|
||||
def trial_end(self, env):
|
||||
if not self.dry_run:
|
||||
with timer('Dumping simulation {} trial {}'.format(self.simulation.name,
|
||||
env.id)):
|
||||
engine = create_engine('sqlite:///{}.sqlite'.format(env.id), echo=False)
|
||||
if self.dry_run:
|
||||
logger.info('Running in DRY_RUN mode, the database will NOT be created')
|
||||
return
|
||||
|
||||
dc = env.datacollector
|
||||
for (t, df) in get_dc_dfs(dc):
|
||||
df.to_sql(t, con=engine, if_exists='append')
|
||||
with timer('Dumping simulation {} trial {}'.format(self.simulation.name,
|
||||
env.id)):
|
||||
|
||||
fpath = os.path.join(self.outdir, f'{env.id}.sqlite')
|
||||
engine = create_engine(f'sqlite:///{fpath}', echo=False)
|
||||
|
||||
dc = env.datacollector
|
||||
for (t, df) in get_dc_dfs(dc):
|
||||
df.to_sql(t, con=engine, if_exists='append')
|
||||
|
||||
|
||||
def get_dc_dfs(dc):
|
||||
|
@ -39,33 +39,30 @@ def from_config(cfg: config.NetConfig, dir_path: str = None):
|
||||
known_modules=['networkx.generators',])
|
||||
return method(**net_args)
|
||||
|
||||
if isinstance(cfg.topology, config.Topology):
|
||||
cfg = cfg.topology.dict()
|
||||
if isinstance(cfg.fixed, config.Topology):
|
||||
cfg = cfg.fixed.dict()
|
||||
|
||||
if isinstance(cfg, str) or isinstance(cfg, dict):
|
||||
return nx.json_graph.node_link_graph(cfg)
|
||||
|
||||
return nx.Graph()
|
||||
|
||||
|
||||
def agent_to_node(G, agent_id, node_id=None, shuffle=False, random=random):
|
||||
def find_unassigned(G, shuffle=False, random=random):
|
||||
'''
|
||||
Link an agent to a node in a topology.
|
||||
|
||||
If node_id is None, a node without an agent_id will be found.
|
||||
'''
|
||||
#TODO: test
|
||||
if node_id is None:
|
||||
candidates = list(G.nodes(data=True))
|
||||
if shuffle:
|
||||
random.shuffle(candidates)
|
||||
for next_id, data in candidates:
|
||||
if data.get('agent_id', None) is None:
|
||||
node_id = next_id
|
||||
break
|
||||
candidates = list(G.nodes(data=True))
|
||||
if shuffle:
|
||||
random.shuffle(candidates)
|
||||
for next_id, data in candidates:
|
||||
if 'agent' not in data:
|
||||
node_id = next_id
|
||||
break
|
||||
|
||||
if node_id is None:
|
||||
raise ValueError(f"Not enough nodes in topology to assign one to agent {agent_id}")
|
||||
G.nodes[node_id]['agent_id'] = agent_id
|
||||
return node_id
|
||||
|
||||
|
||||
|
@ -17,42 +17,6 @@ from jinja2 import Template
|
||||
|
||||
logger = logging.getLogger('soil')
|
||||
|
||||
|
||||
# def load_network(network_params, dir_path=None):
|
||||
# G = nx.Graph()
|
||||
|
||||
# if not network_params:
|
||||
# return G
|
||||
|
||||
# if 'path' in network_params:
|
||||
# path = network_params['path']
|
||||
# if dir_path and not os.path.isabs(path):
|
||||
# path = os.path.join(dir_path, path)
|
||||
# extension = os.path.splitext(path)[1][1:]
|
||||
# kwargs = {}
|
||||
# if extension == 'gexf':
|
||||
# kwargs['version'] = '1.2draft'
|
||||
# kwargs['node_type'] = int
|
||||
# try:
|
||||
# method = getattr(nx.readwrite, 'read_' + extension)
|
||||
# except AttributeError:
|
||||
# raise AttributeError('Unknown format')
|
||||
# G = method(path, **kwargs)
|
||||
|
||||
# elif 'generator' in network_params:
|
||||
# net_args = network_params.copy()
|
||||
# net_gen = net_args.pop('generator')
|
||||
|
||||
# if dir_path not in sys.path:
|
||||
# sys.path.append(dir_path)
|
||||
|
||||
# method = deserializer(net_gen,
|
||||
# known_modules=['networkx.generators',])
|
||||
# G = method(**net_args)
|
||||
|
||||
# return G
|
||||
|
||||
|
||||
def load_file(infile):
|
||||
folder = os.path.dirname(infile)
|
||||
if folder not in sys.path:
|
||||
@ -121,7 +85,7 @@ def params_for_template(config):
|
||||
|
||||
def load_files(*patterns, **kwargs):
|
||||
for pattern in patterns:
|
||||
for i in glob(pattern, **kwargs):
|
||||
for i in glob(pattern, **kwargs, recursive=True):
|
||||
for cfg in load_file(i):
|
||||
path = os.path.abspath(i)
|
||||
yield Config.from_raw(cfg), path
|
||||
@ -229,14 +193,17 @@ def deserializer(type_, known_modules=KNOWN_MODULES):
|
||||
return getattr(cls, 'deserialize', cls)
|
||||
except (ImportError, AttributeError) as ex:
|
||||
errors.append((modname, tname, ex))
|
||||
raise Exception('Could not find type {}. Tried: {}'.format(type_, errors))
|
||||
raise Exception('Could not find type "{}". Tried: {}'.format(type_, errors))
|
||||
|
||||
|
||||
def deserialize(type_, value=None, **kwargs):
|
||||
def deserialize(type_, value=None, globs=None, **kwargs):
|
||||
'''Get an object from a text representation'''
|
||||
if not isinstance(type_, str):
|
||||
return type_
|
||||
des = deserializer(type_, **kwargs)
|
||||
if globs and type_ in globs:
|
||||
des = globs[type_]
|
||||
else:
|
||||
des = deserializer(type_, **kwargs)
|
||||
if value is None:
|
||||
return des
|
||||
return des(value)
|
||||
@ -244,6 +211,8 @@ def deserialize(type_, value=None, **kwargs):
|
||||
|
||||
def deserialize_all(names, *args, known_modules=KNOWN_MODULES, **kwargs):
|
||||
'''Return the list of deserialized objects'''
|
||||
#TODO: remove
|
||||
print('SERIALIZATION', kwargs)
|
||||
objects = []
|
||||
for name in names:
|
||||
mod = deserialize(name, known_modules=known_modules)
|
||||
|
@ -11,17 +11,16 @@ import networkx as nx
|
||||
from textwrap import dedent
|
||||
|
||||
from dataclasses import dataclass, field, asdict
|
||||
from typing import Any, Dict, Union, Optional
|
||||
from typing import Any, Dict, Union, Optional, List
|
||||
|
||||
|
||||
from networkx.readwrite import json_graph
|
||||
from functools import partial
|
||||
import pickle
|
||||
|
||||
from . import serialization, utils, basestring, agents
|
||||
from . import serialization, exporters, utils, basestring, agents
|
||||
from .environment import Environment
|
||||
from .utils import logger, run_and_return_exceptions
|
||||
from .exporters import default
|
||||
from .time import INFINITY
|
||||
from .config import Config, convert_old
|
||||
|
||||
@ -35,7 +34,7 @@ class Simulation:
|
||||
config (optional): :class:`config.Config`
|
||||
name of the Simulation
|
||||
|
||||
kwargs: parameters to use to initialize a new configuration, if one has not been provided.
|
||||
kwargs: parameters to use to initialize a new configuration, if one not been provided.
|
||||
"""
|
||||
version: str = '2'
|
||||
name: str = 'Unnamed simulation'
|
||||
@ -49,22 +48,27 @@ class Simulation:
|
||||
max_steps: int = -1
|
||||
interval: int = 1
|
||||
num_trials: int = 3
|
||||
parallel: Optional[bool] = None
|
||||
exporters: Optional[List[str]] = field(default_factory=list)
|
||||
outdir: Optional[str] = None
|
||||
exporter_params: Optional[Dict[str, Any]] = field(default_factory=dict)
|
||||
dry_run: bool = False
|
||||
extra: Dict[str, Any] = field(default_factory=dict)
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, env):
|
||||
def from_dict(cls, env, **kwargs):
|
||||
|
||||
ignored = {k: v for k, v in env.items()
|
||||
if k not in inspect.signature(cls).parameters}
|
||||
|
||||
kwargs = {k:v for k, v in env.items() if k not in ignored}
|
||||
d = {k:v for k, v in env.items() if k not in ignored}
|
||||
if ignored:
|
||||
kwargs.setdefault('extra', {}).update(ignored)
|
||||
d.setdefault('extra', {}).update(ignored)
|
||||
if ignored:
|
||||
print(f'Warning: Ignoring these parameters (added to "extra"): { ignored }')
|
||||
d.update(kwargs)
|
||||
|
||||
return cls(**kwargs)
|
||||
return cls(**d)
|
||||
|
||||
def run_simulation(self, *args, **kwargs):
|
||||
return self.run(*args, **kwargs)
|
||||
@ -78,15 +82,23 @@ class Simulation:
|
||||
self.to_yaml())
|
||||
return list(self.run_gen(*args, **kwargs))
|
||||
|
||||
def run_gen(self, parallel=False, dry_run=False,
|
||||
exporters=[default, ], outdir=None, exporter_params={},
|
||||
def run_gen(self, parallel=False, dry_run=None,
|
||||
exporters=None, outdir=None, exporter_params={},
|
||||
log_level=None,
|
||||
**kwargs):
|
||||
'''Run the simulation and yield the resulting environments.'''
|
||||
if log_level:
|
||||
logger.setLevel(log_level)
|
||||
outdir = outdir or self.outdir
|
||||
logger.info('Using exporters: %s', exporters or [])
|
||||
logger.info('Output directory: %s', outdir)
|
||||
if dry_run is None:
|
||||
dry_run = self.dry_run
|
||||
if exporters is None:
|
||||
exporters = self.exporters
|
||||
if not exporter_params:
|
||||
exporter_params = self.exporter_params
|
||||
|
||||
exporters = serialization.deserialize_all(exporters,
|
||||
simulation=self,
|
||||
known_modules=['soil.exporters', ],
|
||||
@ -115,18 +127,21 @@ class Simulation:
|
||||
for exporter in exporters:
|
||||
exporter.sim_end()
|
||||
|
||||
def get_env(self, trial_id=0, **kwargs):
|
||||
def get_env(self, trial_id=0, model_params=None, **kwargs):
|
||||
'''Create an environment for a trial of the simulation'''
|
||||
def deserialize_reporters(reporters):
|
||||
for (k, v) in reporters.items():
|
||||
if isinstance(v, str) and v.startswith('py:'):
|
||||
reporters[k] = serialization.deserialize(value.lsplit(':', 1)[1])
|
||||
return reporters
|
||||
|
||||
model_params = self.model_params.copy()
|
||||
model_params.update(kwargs)
|
||||
params = self.model_params.copy()
|
||||
if model_params:
|
||||
params.update(model_params)
|
||||
params.update(kwargs)
|
||||
|
||||
agent_reporters = deserialize_reporters(model_params.pop('agent_reporters', {}))
|
||||
model_reporters = deserialize_reporters(model_params.pop('model_reporters', {}))
|
||||
agent_reporters = deserialize_reporters(params.pop('agent_reporters', {}))
|
||||
model_reporters = deserialize_reporters(params.pop('model_reporters', {}))
|
||||
|
||||
env = serialization.deserialize(self.model_class)
|
||||
return env(id=f'{self.name}_trial_{trial_id}',
|
||||
@ -134,7 +149,7 @@ class Simulation:
|
||||
dir_path=self.dir_path,
|
||||
agent_reporters=agent_reporters,
|
||||
model_reporters=model_reporters,
|
||||
**model_params)
|
||||
**params)
|
||||
|
||||
def run_trial(self, trial_id=None, until=None, log_file=False, log_level=logging.INFO, **opts):
|
||||
"""
|
||||
@ -172,13 +187,10 @@ class Simulation:
|
||||
logger.info(dedent(f'''
|
||||
Model stats:
|
||||
Agents (total: { model.schedule.get_agent_count() }):
|
||||
- { (newline + ' - ').join(str(a) for a in model.schedule.agents) }'''
|
||||
f'''
|
||||
- { (newline + ' - ').join(str(a) for a in model.schedule.agents) }
|
||||
|
||||
Topologies (size):
|
||||
- { dict( (k, len(v)) for (k, v) in model.topologies.items()) }
|
||||
''' if getattr(model, "topologies", None) else ''
|
||||
))
|
||||
Topology size: { len(model.G) if hasattr(model, "G") else 0 }
|
||||
'''))
|
||||
|
||||
while not is_done():
|
||||
utils.logger.debug(f'Simulation time {model.schedule.time}/{until}. Next: {getattr(model.schedule, "next_time", model.schedule.time + self.interval)}')
|
||||
@ -198,14 +210,14 @@ f'''
|
||||
return yaml.dump(self.to_dict())
|
||||
|
||||
|
||||
def iter_from_config(*cfgs):
|
||||
def iter_from_config(*cfgs, **kwargs):
|
||||
for config in cfgs:
|
||||
configs = list(serialization.load_config(config))
|
||||
for config, path in configs:
|
||||
d = dict(config)
|
||||
if 'dir_path' not in d:
|
||||
d['dir_path'] = os.path.dirname(path)
|
||||
yield Simulation.from_dict(d)
|
||||
yield Simulation.from_dict(d, **kwargs)
|
||||
|
||||
|
||||
def from_config(conf_or_path):
|
||||
|
@ -76,7 +76,7 @@ class TimedActivation(BaseScheduler):
|
||||
agent = self._agents[agent_id]
|
||||
returned = agent.step()
|
||||
|
||||
if not agent.alive:
|
||||
if not getattr(agent, 'alive', True):
|
||||
self.remove(agent)
|
||||
continue
|
||||
|
||||
|
@ -20,10 +20,11 @@ else:
|
||||
logformat = "[%(levelname)-5.5s][%(asctime)s] %(message)s"
|
||||
|
||||
logFormatter = logging.Formatter(logformat, timeformat)
|
||||
|
||||
consoleHandler = logging.StreamHandler()
|
||||
consoleHandler.setFormatter(logFormatter)
|
||||
logger.addHandler(consoleHandler)
|
||||
|
||||
logging.basicConfig(level=logging.INFO,
|
||||
handlers=[consoleHandler,])
|
||||
|
||||
|
||||
@contextmanager
|
||||
|
@ -9,17 +9,16 @@ interval: 1
|
||||
seed: "CompleteSeed!"
|
||||
model_class: Environment
|
||||
model_params:
|
||||
topologies:
|
||||
default:
|
||||
params:
|
||||
generator: complete_graph
|
||||
n: 4
|
||||
topology:
|
||||
params:
|
||||
generator: complete_graph
|
||||
n: 4
|
||||
agents:
|
||||
agent_class: CounterModel
|
||||
state:
|
||||
group: network
|
||||
times: 1
|
||||
topology: 'default'
|
||||
topology: true
|
||||
distribution:
|
||||
- agent_class: CounterModel
|
||||
weight: 0.25
|
||||
@ -42,7 +41,7 @@ model_params:
|
||||
fixed:
|
||||
- agent_class: BaseAgent
|
||||
hidden: true
|
||||
topology: null
|
||||
topology: false
|
||||
state:
|
||||
name: 'Environment Agent 1'
|
||||
times: 10
|
||||
|
@ -4,12 +4,14 @@ import pytest
|
||||
from soil import agents, environment
|
||||
from soil import time as stime
|
||||
|
||||
|
||||
class Dead(agents.FSM):
|
||||
@agents.default_state
|
||||
@agents.state
|
||||
def only(self):
|
||||
return self.die()
|
||||
|
||||
|
||||
class TestMain(TestCase):
|
||||
def test_die_raises_exception(self):
|
||||
d = Dead(unique_id=0, model=environment.Environment())
|
||||
@ -20,5 +22,5 @@ class TestMain(TestCase):
|
||||
def test_die_returns_infinity(self):
|
||||
d = Dead(unique_id=0, model=environment.Environment())
|
||||
ret = d.step().abs(0)
|
||||
print(ret, 'next')
|
||||
print(ret, "next")
|
||||
assert ret == stime.INFINITY
|
||||
|
@ -7,9 +7,9 @@ from os.path import join
|
||||
from soil import simulation, serialization, config, network, agents, utils
|
||||
|
||||
ROOT = os.path.abspath(os.path.dirname(__file__))
|
||||
EXAMPLES = join(ROOT, '..', 'examples')
|
||||
EXAMPLES = join(ROOT, "..", "examples")
|
||||
|
||||
FORCE_TESTS = os.environ.get('FORCE_TESTS', '')
|
||||
FORCE_TESTS = os.environ.get("FORCE_TESTS", "")
|
||||
|
||||
|
||||
def isequal(a, b):
|
||||
@ -24,7 +24,6 @@ def isequal(a, b):
|
||||
|
||||
|
||||
class TestConfig(TestCase):
|
||||
|
||||
def test_conversion(self):
|
||||
expected = serialization.load_file(join(ROOT, "complete_converted.yml"))[0]
|
||||
old = serialization.load_file(join(ROOT, "old_complete.yml"))[0]
|
||||
@ -38,7 +37,7 @@ class TestConfig(TestCase):
|
||||
The configuration should not change after running
|
||||
the simulation.
|
||||
"""
|
||||
config = serialization.load_file(join(EXAMPLES, 'complete.yml'))[0]
|
||||
config = serialization.load_file(join(EXAMPLES, "complete.yml"))[0]
|
||||
s = simulation.from_config(config)
|
||||
init_config = copy.copy(s.to_dict())
|
||||
|
||||
@ -47,11 +46,8 @@ class TestConfig(TestCase):
|
||||
# del nconfig['to
|
||||
isequal(init_config, nconfig)
|
||||
|
||||
|
||||
def test_topology_config(self):
|
||||
netconfig = config.NetConfig(**{
|
||||
'path': join(ROOT, 'test.gexf')
|
||||
})
|
||||
netconfig = config.NetConfig(**{"path": join(ROOT, "test.gexf")})
|
||||
net = network.from_config(netconfig, dir_path=ROOT)
|
||||
assert len(net.nodes) == 2
|
||||
assert len(net.edges) == 1
|
||||
@ -62,36 +58,33 @@ class TestConfig(TestCase):
|
||||
network agents are initialized properly.
|
||||
"""
|
||||
cfg = {
|
||||
'name': 'CounterAgent',
|
||||
'network_params': {
|
||||
'path': join(ROOT, 'test.gexf')
|
||||
},
|
||||
'agent_class': 'CounterModel',
|
||||
"name": "CounterAgent",
|
||||
"network_params": {"path": join(ROOT, "test.gexf")},
|
||||
"agent_class": "CounterModel",
|
||||
# 'states': [{'times': 10}, {'times': 20}],
|
||||
'max_time': 2,
|
||||
'dry_run': True,
|
||||
'num_trials': 1,
|
||||
'environment_params': {
|
||||
}
|
||||
"max_time": 2,
|
||||
"dry_run": True,
|
||||
"num_trials": 1,
|
||||
"environment_params": {},
|
||||
}
|
||||
conf = config.convert_old(cfg)
|
||||
s = simulation.from_config(conf)
|
||||
|
||||
env = s.get_env()
|
||||
assert len(env.topologies['default'].nodes) == 2
|
||||
assert len(env.topologies['default'].edges) == 1
|
||||
assert len(env.G.nodes) == 2
|
||||
assert len(env.G.edges) == 1
|
||||
assert len(env.agents) == 2
|
||||
assert env.agents[0].G == env.topologies['default']
|
||||
assert env.agents[0].G == env.G
|
||||
|
||||
def test_agents_from_config(self):
|
||||
'''We test that the known complete configuration produces
|
||||
the right agents in the right groups'''
|
||||
"""We test that the known complete configuration produces
|
||||
the right agents in the right groups"""
|
||||
cfg = serialization.load_file(join(ROOT, "complete_converted.yml"))[0]
|
||||
s = simulation.from_config(cfg)
|
||||
env = s.get_env()
|
||||
assert len(env.topologies['default'].nodes) == 4
|
||||
assert len(env.agents(group='network')) == 4
|
||||
assert len(env.agents(group='environment')) == 1
|
||||
assert len(env.G.nodes) == 4
|
||||
assert len(env.agents(group="network")) == 4
|
||||
assert len(env.agents(group="environment")) == 1
|
||||
|
||||
def test_yaml(self):
|
||||
"""
|
||||
@ -100,16 +93,17 @@ class TestConfig(TestCase):
|
||||
Values not present in the original config file should have reasonable
|
||||
defaults.
|
||||
"""
|
||||
with utils.timer('loading'):
|
||||
config = serialization.load_file(join(EXAMPLES, 'complete.yml'))[0]
|
||||
with utils.timer("loading"):
|
||||
config = serialization.load_file(join(EXAMPLES, "complete.yml"))[0]
|
||||
s = simulation.from_config(config)
|
||||
with utils.timer('serializing'):
|
||||
with utils.timer("serializing"):
|
||||
serial = s.to_yaml()
|
||||
with utils.timer('recovering'):
|
||||
with utils.timer("recovering"):
|
||||
recovered = yaml.load(serial, Loader=yaml.SafeLoader)
|
||||
for (k, v) in config.items():
|
||||
assert recovered[k] == v
|
||||
|
||||
|
||||
def make_example_test(path, cfg):
|
||||
def wrapped(self):
|
||||
root = os.getcwd()
|
||||
@ -133,18 +127,19 @@ def make_example_test(path, cfg):
|
||||
# assert env.now <= config['max_time'] # But not further than allowed
|
||||
# except KeyError:
|
||||
# pass
|
||||
|
||||
return wrapped
|
||||
|
||||
|
||||
def add_example_tests():
|
||||
for config, path in serialization.load_files(
|
||||
join(EXAMPLES, '*', '*.yml'),
|
||||
join(EXAMPLES, '*.yml'),
|
||||
join(EXAMPLES, "*", "*.yml"),
|
||||
join(EXAMPLES, "*.yml"),
|
||||
):
|
||||
p = make_example_test(path=path, cfg=config)
|
||||
fname = os.path.basename(path)
|
||||
p.__name__ = 'test_example_file_%s' % fname
|
||||
p.__doc__ = '%s should be a valid configuration' % fname
|
||||
p.__name__ = "test_example_file_%s" % fname
|
||||
p.__doc__ = "%s should be a valid configuration" % fname
|
||||
setattr(TestConfig, p.__name__, p)
|
||||
del p
|
||||
|
||||
|
@ -5,9 +5,9 @@ from os.path import join
|
||||
from soil import serialization, simulation, config
|
||||
|
||||
ROOT = os.path.abspath(os.path.dirname(__file__))
|
||||
EXAMPLES = join(ROOT, '..', 'examples')
|
||||
EXAMPLES = join(ROOT, "..", "examples")
|
||||
|
||||
FORCE_TESTS = os.environ.get('FORCE_TESTS', '')
|
||||
FORCE_TESTS = os.environ.get("FORCE_TESTS", "")
|
||||
|
||||
|
||||
class TestExamples(TestCase):
|
||||
@ -23,31 +23,31 @@ def make_example_test(path, cfg):
|
||||
s.max_steps = 100
|
||||
s.num_trials = 1
|
||||
assert isinstance(cfg, config.Config)
|
||||
if getattr(cfg, 'skip_test', False) and not FORCE_TESTS:
|
||||
self.skipTest('Example ignored.')
|
||||
if getattr(cfg, "skip_test", False) and not FORCE_TESTS:
|
||||
self.skipTest("Example ignored.")
|
||||
envs = s.run_simulation(dry_run=True)
|
||||
assert envs
|
||||
for env in envs:
|
||||
assert env
|
||||
try:
|
||||
n = cfg.model_params['network_params']['n']
|
||||
n = cfg.model_params["network_params"]["n"]
|
||||
assert len(list(env.network_agents)) == n
|
||||
except KeyError:
|
||||
pass
|
||||
assert env.schedule.steps > 0 # It has run
|
||||
assert env.schedule.steps <= s.max_steps # But not further than allowed
|
||||
|
||||
return wrapped
|
||||
|
||||
|
||||
def add_example_tests():
|
||||
for cfg, path in serialization.load_files(
|
||||
join(EXAMPLES, '*', '*.yml'),
|
||||
join(EXAMPLES, '*.yml'),
|
||||
join(EXAMPLES, "**", "*.yml"),
|
||||
):
|
||||
p = make_example_test(path=path, cfg=config.Config.from_raw(cfg))
|
||||
fname = os.path.basename(path)
|
||||
p.__name__ = 'test_example_file_%s' % fname
|
||||
p.__doc__ = '%s should be a valid configuration' % fname
|
||||
p.__name__ = "test_example_file_%s" % fname
|
||||
p.__doc__ = "%s should be a valid configuration" % fname
|
||||
setattr(TestExamples, p.__name__, p)
|
||||
del p
|
||||
|
||||
|
@ -2,6 +2,7 @@ import os
|
||||
import io
|
||||
import tempfile
|
||||
import shutil
|
||||
import sqlite3
|
||||
|
||||
from unittest import TestCase
|
||||
from soil import exporters
|
||||
@ -40,14 +41,10 @@ class Exporters(TestCase):
|
||||
num_trials = 5
|
||||
max_time = 2
|
||||
config = {
|
||||
'name': 'exporter_sim',
|
||||
'model_params': {
|
||||
'agents': [{
|
||||
'agent_class': agents.BaseAgent
|
||||
}]
|
||||
},
|
||||
'max_time': max_time,
|
||||
'num_trials': num_trials,
|
||||
"name": "exporter_sim",
|
||||
"model_params": {"agents": [{"agent_class": agents.BaseAgent}]},
|
||||
"max_time": max_time,
|
||||
"num_trials": num_trials,
|
||||
}
|
||||
s = simulation.from_config(config)
|
||||
|
||||
@ -64,40 +61,52 @@ class Exporters(TestCase):
|
||||
assert Dummy.total_time == max_time * num_trials
|
||||
|
||||
def test_writing(self):
|
||||
'''Try to write CSV, sqlite and YAML (without dry_run)'''
|
||||
"""Try to write CSV, sqlite and YAML (without dry_run)"""
|
||||
n_trials = 5
|
||||
config = {
|
||||
'name': 'exporter_sim',
|
||||
'network_params': {
|
||||
'generator': 'complete_graph',
|
||||
'n': 4
|
||||
},
|
||||
'agent_class': 'CounterModel',
|
||||
'max_time': 2,
|
||||
'num_trials': n_trials,
|
||||
'dry_run': False,
|
||||
'environment_params': {}
|
||||
"name": "exporter_sim",
|
||||
"network_params": {"generator": "complete_graph", "n": 4},
|
||||
"agent_class": "CounterModel",
|
||||
"max_time": 2,
|
||||
"num_trials": n_trials,
|
||||
"dry_run": False,
|
||||
"environment_params": {},
|
||||
}
|
||||
output = io.StringIO()
|
||||
s = simulation.from_config(config)
|
||||
tmpdir = tempfile.mkdtemp()
|
||||
envs = s.run_simulation(exporters=[
|
||||
exporters.default,
|
||||
exporters.csv,
|
||||
],
|
||||
dry_run=False,
|
||||
outdir=tmpdir,
|
||||
exporter_params={'copy_to': output})
|
||||
envs = s.run_simulation(
|
||||
exporters=[
|
||||
exporters.default,
|
||||
exporters.csv,
|
||||
],
|
||||
model_params={
|
||||
"agent_reporters": {"times": "times"},
|
||||
"model_reporters": {
|
||||
"constant": lambda x: 1,
|
||||
},
|
||||
},
|
||||
dry_run=False,
|
||||
outdir=tmpdir,
|
||||
exporter_params={"copy_to": output},
|
||||
)
|
||||
result = output.getvalue()
|
||||
|
||||
simdir = os.path.join(tmpdir, s.group or '', s.name)
|
||||
with open(os.path.join(simdir, '{}.dumped.yml'.format(s.name))) as f:
|
||||
simdir = os.path.join(tmpdir, s.group or "", s.name)
|
||||
with open(os.path.join(simdir, "{}.dumped.yml".format(s.name))) as f:
|
||||
result = f.read()
|
||||
assert result
|
||||
|
||||
try:
|
||||
for e in envs:
|
||||
with open(os.path.join(simdir, '{}.env.csv'.format(e.id))) as f:
|
||||
db = sqlite3.connect(os.path.join(simdir, f"{e.id}.sqlite"))
|
||||
cur = db.cursor()
|
||||
agent_entries = cur.execute("SELECT * from agents").fetchall()
|
||||
env_entries = cur.execute("SELECT * from env").fetchall()
|
||||
assert len(agent_entries) > 0
|
||||
assert len(env_entries) > 0
|
||||
|
||||
with open(os.path.join(simdir, "{}.env.csv".format(e.id))) as f:
|
||||
result = f.read()
|
||||
assert result
|
||||
finally:
|
||||
|
@ -6,60 +6,55 @@ import networkx as nx
|
||||
from functools import partial
|
||||
|
||||
from os.path import join
|
||||
from soil import (simulation, Environment, agents, network, serialization,
|
||||
utils, config)
|
||||
from soil import simulation, Environment, agents, network, serialization, utils, config
|
||||
from soil.time import Delta
|
||||
|
||||
ROOT = os.path.abspath(os.path.dirname(__file__))
|
||||
EXAMPLES = join(ROOT, '..', 'examples')
|
||||
EXAMPLES = join(ROOT, "..", "examples")
|
||||
|
||||
|
||||
class CustomAgent(agents.FSM, agents.NetworkAgent):
|
||||
@agents.default_state
|
||||
@agents.state
|
||||
def normal(self):
|
||||
self.neighbors = self.count_agents(state_id='normal',
|
||||
limit_neighbors=True)
|
||||
self.neighbors = self.count_agents(state_id="normal", limit_neighbors=True)
|
||||
|
||||
@agents.state
|
||||
def unreachable(self):
|
||||
return
|
||||
|
||||
|
||||
class TestMain(TestCase):
|
||||
|
||||
def test_empty_simulation(self):
|
||||
"""A simulation with a base behaviour should do nothing"""
|
||||
config = {
|
||||
'model_params': {
|
||||
'network_params': {
|
||||
'path': join(ROOT, 'test.gexf')
|
||||
},
|
||||
'agent_class': 'BaseAgent',
|
||||
"model_params": {
|
||||
"network_params": {"path": join(ROOT, "test.gexf")},
|
||||
"agent_class": "BaseAgent",
|
||||
}
|
||||
}
|
||||
s = simulation.from_config(config)
|
||||
s.run_simulation(dry_run=True)
|
||||
|
||||
|
||||
def test_network_agent(self):
|
||||
"""
|
||||
The initial states should be applied to the agent and the
|
||||
agent should be able to update its state."""
|
||||
config = {
|
||||
'name': 'CounterAgent',
|
||||
'num_trials': 1,
|
||||
'max_time': 2,
|
||||
'model_params': {
|
||||
'network_params': {
|
||||
'generator': nx.complete_graph,
|
||||
'n': 2,
|
||||
"name": "CounterAgent",
|
||||
"num_trials": 1,
|
||||
"max_time": 2,
|
||||
"model_params": {
|
||||
"network_params": {
|
||||
"generator": nx.complete_graph,
|
||||
"n": 2,
|
||||
},
|
||||
'agent_class': 'CounterModel',
|
||||
'states': {
|
||||
0: {'times': 10},
|
||||
1: {'times': 20},
|
||||
"agent_class": "CounterModel",
|
||||
"states": {
|
||||
0: {"times": 10},
|
||||
1: {"times": 20},
|
||||
},
|
||||
}
|
||||
},
|
||||
}
|
||||
s = simulation.from_config(config)
|
||||
|
||||
@ -68,48 +63,41 @@ class TestMain(TestCase):
|
||||
The initial states should be applied to the agent and the
|
||||
agent should be able to update its state."""
|
||||
config = {
|
||||
'version': '2',
|
||||
'name': 'CounterAgent',
|
||||
'dry_run': True,
|
||||
'num_trials': 1,
|
||||
'max_time': 2,
|
||||
'model_params': {
|
||||
'topologies': {
|
||||
'default': {
|
||||
'path': join(ROOT, 'test.gexf')
|
||||
}
|
||||
"version": "2",
|
||||
"name": "CounterAgent",
|
||||
"dry_run": True,
|
||||
"num_trials": 1,
|
||||
"max_time": 2,
|
||||
"model_params": {
|
||||
"topology": {"path": join(ROOT, "test.gexf")},
|
||||
"agents": {
|
||||
"agent_class": "CounterModel",
|
||||
"topology": True,
|
||||
"fixed": [{"state": {"times": 10}}, {"state": {"times": 20}}],
|
||||
},
|
||||
'agents': {
|
||||
'agent_class': 'CounterModel',
|
||||
'topology': 'default',
|
||||
'fixed': [{'state': {'times': 10}}, {'state': {'times': 20}}],
|
||||
}
|
||||
}
|
||||
},
|
||||
}
|
||||
s = simulation.from_config(config)
|
||||
env = s.get_env()
|
||||
assert isinstance(env.agents[0], agents.CounterModel)
|
||||
assert env.agents[0].G == env.topologies['default']
|
||||
assert env.agents[0]['times'] == 10
|
||||
assert env.agents[0]['times'] == 10
|
||||
assert env.agents[0].G == env.G
|
||||
assert env.agents[0]["times"] == 10
|
||||
assert env.agents[0]["times"] == 10
|
||||
env.step()
|
||||
assert env.agents[0]['times'] == 11
|
||||
assert env.agents[1]['times'] == 21
|
||||
assert env.agents[0]["times"] == 11
|
||||
assert env.agents[1]["times"] == 21
|
||||
|
||||
def test_init_and_count_agents(self):
|
||||
"""Agents should be properly initialized and counting should filter them properly"""
|
||||
#TODO: separate this test into two or more test cases
|
||||
# TODO: separate this test into two or more test cases
|
||||
config = {
|
||||
'max_time': 10,
|
||||
'model_params': {
|
||||
'agents': [{'agent_class': CustomAgent, 'weight': 1, 'topology': 'default'},
|
||||
{'agent_class': CustomAgent, 'weight': 3, 'topology': 'default'},
|
||||
"max_time": 10,
|
||||
"model_params": {
|
||||
"agents": [
|
||||
{"agent_class": CustomAgent, "weight": 1, "topology": True},
|
||||
{"agent_class": CustomAgent, "weight": 3, "topology": True},
|
||||
],
|
||||
'topologies': {
|
||||
'default': {
|
||||
'path': join(ROOT, 'test.gexf')
|
||||
}
|
||||
},
|
||||
"topology": {"path": join(ROOT, "test.gexf")},
|
||||
},
|
||||
}
|
||||
s = simulation.from_config(config)
|
||||
@ -120,40 +108,45 @@ class TestMain(TestCase):
|
||||
assert env.count_agents(weight=3) == 1
|
||||
assert env.count_agents(agent_class=CustomAgent) == 2
|
||||
|
||||
|
||||
def test_torvalds_example(self):
|
||||
"""A complete example from a documentation should work."""
|
||||
config = serialization.load_file(join(EXAMPLES, 'torvalds.yml'))[0]
|
||||
config['model_params']['network_params']['path'] = join(EXAMPLES,
|
||||
config['model_params']['network_params']['path'])
|
||||
config = serialization.load_file(join(EXAMPLES, "torvalds.yml"))[0]
|
||||
config["model_params"]["network_params"]["path"] = join(
|
||||
EXAMPLES, config["model_params"]["network_params"]["path"]
|
||||
)
|
||||
s = simulation.from_config(config)
|
||||
env = s.run_simulation(dry_run=True)[0]
|
||||
for a in env.network_agents:
|
||||
skill_level = a.state['skill_level']
|
||||
if a.id == 'Torvalds':
|
||||
assert skill_level == 'God'
|
||||
assert a.state['total'] == 3
|
||||
assert a.state['neighbors'] == 2
|
||||
elif a.id == 'balkian':
|
||||
assert skill_level == 'developer'
|
||||
assert a.state['total'] == 3
|
||||
assert a.state['neighbors'] == 1
|
||||
skill_level = a.state["skill_level"]
|
||||
if a.id == "Torvalds":
|
||||
assert skill_level == "God"
|
||||
assert a.state["total"] == 3
|
||||
assert a.state["neighbors"] == 2
|
||||
elif a.id == "balkian":
|
||||
assert skill_level == "developer"
|
||||
assert a.state["total"] == 3
|
||||
assert a.state["neighbors"] == 1
|
||||
else:
|
||||
assert skill_level == 'beginner'
|
||||
assert a.state['total'] == 3
|
||||
assert a.state['neighbors'] == 1
|
||||
assert skill_level == "beginner"
|
||||
assert a.state["total"] == 3
|
||||
assert a.state["neighbors"] == 1
|
||||
|
||||
def test_serialize_class(self):
|
||||
ser, name = serialization.serialize(agents.BaseAgent, known_modules=[])
|
||||
assert name == 'soil.agents.BaseAgent'
|
||||
assert name == "soil.agents.BaseAgent"
|
||||
assert ser == agents.BaseAgent
|
||||
|
||||
ser, name = serialization.serialize(agents.BaseAgent, known_modules=['soil', ])
|
||||
assert name == 'BaseAgent'
|
||||
ser, name = serialization.serialize(
|
||||
agents.BaseAgent,
|
||||
known_modules=[
|
||||
"soil",
|
||||
],
|
||||
)
|
||||
assert name == "BaseAgent"
|
||||
assert ser == agents.BaseAgent
|
||||
|
||||
ser, name = serialization.serialize(CustomAgent)
|
||||
assert name == 'test_main.CustomAgent'
|
||||
assert name == "test_main.CustomAgent"
|
||||
assert ser == CustomAgent
|
||||
pickle.dumps(ser)
|
||||
|
||||
@ -166,72 +159,63 @@ class TestMain(TestCase):
|
||||
assert i == des
|
||||
|
||||
def test_serialize_agent_class(self):
|
||||
'''A class from soil.agents should be serialized without the module part'''
|
||||
"""A class from soil.agents should be serialized without the module part"""
|
||||
ser = agents.serialize_type(CustomAgent)
|
||||
assert ser == 'test_main.CustomAgent'
|
||||
assert ser == "test_main.CustomAgent"
|
||||
ser = agents.serialize_type(agents.BaseAgent)
|
||||
assert ser == 'BaseAgent'
|
||||
assert ser == "BaseAgent"
|
||||
pickle.dumps(ser)
|
||||
|
||||
|
||||
def test_deserialize_agent_distribution(self):
|
||||
agent_distro = [
|
||||
{
|
||||
'agent_class': 'CounterModel',
|
||||
'weight': 1
|
||||
},
|
||||
{
|
||||
'agent_class': 'test_main.CustomAgent',
|
||||
'weight': 2
|
||||
},
|
||||
{"agent_class": "CounterModel", "weight": 1},
|
||||
{"agent_class": "test_main.CustomAgent", "weight": 2},
|
||||
]
|
||||
converted = agents.deserialize_definition(agent_distro)
|
||||
assert converted[0]['agent_class'] == agents.CounterModel
|
||||
assert converted[1]['agent_class'] == CustomAgent
|
||||
assert converted[0]["agent_class"] == agents.CounterModel
|
||||
assert converted[1]["agent_class"] == CustomAgent
|
||||
pickle.dumps(converted)
|
||||
|
||||
def test_serialize_agent_distribution(self):
|
||||
agent_distro = [
|
||||
{
|
||||
'agent_class': agents.CounterModel,
|
||||
'weight': 1
|
||||
},
|
||||
{
|
||||
'agent_class': CustomAgent,
|
||||
'weight': 2
|
||||
},
|
||||
{"agent_class": agents.CounterModel, "weight": 1},
|
||||
{"agent_class": CustomAgent, "weight": 2},
|
||||
]
|
||||
converted = agents.serialize_definition(agent_distro)
|
||||
assert converted[0]['agent_class'] == 'CounterModel'
|
||||
assert converted[1]['agent_class'] == 'test_main.CustomAgent'
|
||||
assert converted[0]["agent_class"] == "CounterModel"
|
||||
assert converted[1]["agent_class"] == "test_main.CustomAgent"
|
||||
pickle.dumps(converted)
|
||||
|
||||
def test_templates(self):
|
||||
'''Loading a template should result in several configs'''
|
||||
configs = serialization.load_file(join(EXAMPLES, 'template.yml'))
|
||||
"""Loading a template should result in several configs"""
|
||||
configs = serialization.load_file(join(EXAMPLES, "template.yml"))
|
||||
assert len(configs) > 0
|
||||
|
||||
def test_until(self):
|
||||
config = {
|
||||
'name': 'until_sim',
|
||||
'model_params': {
|
||||
'network_params': {},
|
||||
'agents': {
|
||||
'fixed': [{
|
||||
'agent_class': agents.BaseAgent,
|
||||
}]
|
||||
"name": "until_sim",
|
||||
"model_params": {
|
||||
"network_params": {},
|
||||
"agents": {
|
||||
"fixed": [
|
||||
{
|
||||
"agent_class": agents.BaseAgent,
|
||||
}
|
||||
]
|
||||
},
|
||||
},
|
||||
'max_time': 2,
|
||||
'num_trials': 50,
|
||||
"max_time": 2,
|
||||
"num_trials": 50,
|
||||
}
|
||||
s = simulation.from_config(config)
|
||||
runs = list(s.run_simulation(dry_run=True))
|
||||
over = list(x.now for x in runs if x.now > 2)
|
||||
assert len(runs) == config['num_trials']
|
||||
assert len(runs) == config["num_trials"]
|
||||
assert len(over) == 0
|
||||
|
||||
def test_fsm(self):
|
||||
'''Basic state change'''
|
||||
"""Basic state change"""
|
||||
|
||||
class ToggleAgent(agents.FSM):
|
||||
@agents.default_state
|
||||
@agents.state
|
||||
@ -250,7 +234,8 @@ class TestMain(TestCase):
|
||||
assert a.state_id == a.ping.id
|
||||
|
||||
def test_fsm_when(self):
|
||||
'''Basic state change'''
|
||||
"""Basic state change"""
|
||||
|
||||
class ToggleAgent(agents.FSM):
|
||||
@agents.default_state
|
||||
@agents.state
|
||||
|
@ -1,4 +1,4 @@
|
||||
'''
|
||||
"""
|
||||
Mesa-SOIL integration tests
|
||||
|
||||
We have to test that:
|
||||
@ -8,13 +8,15 @@ We have to test that:
|
||||
|
||||
- Mesa visualizations work with SOIL simulations
|
||||
|
||||
'''
|
||||
"""
|
||||
from mesa import Agent, Model
|
||||
from mesa.time import RandomActivation
|
||||
from mesa.space import MultiGrid
|
||||
|
||||
|
||||
class MoneyAgent(Agent):
|
||||
""" An agent with fixed initial wealth."""
|
||||
"""An agent with fixed initial wealth."""
|
||||
|
||||
def __init__(self, unique_id, model):
|
||||
super().__init__(unique_id, model)
|
||||
self.wealth = 1
|
||||
@ -33,15 +35,15 @@ class MoneyAgent(Agent):
|
||||
|
||||
def move(self):
|
||||
possible_steps = self.model.grid.get_neighborhood(
|
||||
self.pos,
|
||||
moore=True,
|
||||
include_center=False)
|
||||
self.pos, moore=True, include_center=False
|
||||
)
|
||||
new_position = self.random.choice(possible_steps)
|
||||
self.model.grid.move_agent(self, new_position)
|
||||
|
||||
|
||||
class MoneyModel(Model):
|
||||
"""A model with some number of agents."""
|
||||
|
||||
def __init__(self, N, width, height):
|
||||
self.num_agents = N
|
||||
self.grid = MultiGrid(width, height, True)
|
||||
@ -58,7 +60,7 @@ class MoneyModel(Model):
|
||||
self.grid.place_agent(a, (x, y))
|
||||
|
||||
def step(self):
|
||||
'''Advance the model by one step.'''
|
||||
"""Advance the model by one step."""
|
||||
self.schedule.step()
|
||||
|
||||
|
||||
|
@ -10,7 +10,7 @@ from soil import config, network, environment, agents, simulation
|
||||
from test_main import CustomAgent
|
||||
|
||||
ROOT = os.path.abspath(os.path.dirname(__file__))
|
||||
EXAMPLES = join(ROOT, '..', 'examples')
|
||||
EXAMPLES = join(ROOT, "..", "examples")
|
||||
|
||||
|
||||
class TestNetwork(TestCase):
|
||||
@ -19,21 +19,13 @@ class TestNetwork(TestCase):
|
||||
Load a graph from file if the extension is known.
|
||||
Raise an exception otherwise.
|
||||
"""
|
||||
config = {
|
||||
'network_params': {
|
||||
'path': join(ROOT, 'test.gexf')
|
||||
}
|
||||
}
|
||||
G = network.from_config(config['network_params'])
|
||||
config = {"network_params": {"path": join(ROOT, "test.gexf")}}
|
||||
G = network.from_config(config["network_params"])
|
||||
assert G
|
||||
assert len(G) == 2
|
||||
with self.assertRaises(AttributeError):
|
||||
config = {
|
||||
'network_params': {
|
||||
'path': join(ROOT, 'unknown.extension')
|
||||
}
|
||||
}
|
||||
G = network.from_config(config['network_params'])
|
||||
config = {"network_params": {"path": join(ROOT, "unknown.extension")}}
|
||||
G = network.from_config(config["network_params"])
|
||||
print(G)
|
||||
|
||||
def test_generate_barabasi(self):
|
||||
@ -41,88 +33,73 @@ class TestNetwork(TestCase):
|
||||
If no path is given, a generator and network parameters
|
||||
should be used to generate a network
|
||||
"""
|
||||
cfg = {
|
||||
'params': {
|
||||
'generator': 'barabasi_albert_graph'
|
||||
}
|
||||
}
|
||||
cfg = {"params": {"generator": "barabasi_albert_graph"}}
|
||||
with self.assertRaises(Exception):
|
||||
G = network.from_config(cfg)
|
||||
cfg['params']['n'] = 100
|
||||
cfg['params']['m'] = 10
|
||||
cfg["params"]["n"] = 100
|
||||
cfg["params"]["m"] = 10
|
||||
G = network.from_config(cfg)
|
||||
assert len(G) == 100
|
||||
|
||||
def test_save_geometric(self):
|
||||
"""
|
||||
There is a bug in networkx that prevents it from creating a GEXF file
|
||||
There is a bug in networkx that prevents it from creating a GEXF file
|
||||
from geometric models. We should work around it.
|
||||
"""
|
||||
G = nx.random_geometric_graph(20, 0.1)
|
||||
env = environment.NetworkEnvironment(topology=G)
|
||||
f = io.BytesIO()
|
||||
assert env.topologies['default']
|
||||
network.dump_gexf(env.topologies['default'], f)
|
||||
assert env.G
|
||||
network.dump_gexf(env.G, f)
|
||||
|
||||
def test_networkenvironment_creation(self):
|
||||
"""Networkenvironment should accept netconfig as parameters"""
|
||||
model_params = {
|
||||
'topologies': {
|
||||
'default': {
|
||||
'path': join(ROOT, 'test.gexf')
|
||||
}
|
||||
"topology": {"path": join(ROOT, "test.gexf")},
|
||||
"agents": {
|
||||
"topology": True,
|
||||
"distribution": [
|
||||
{
|
||||
"agent_class": CustomAgent,
|
||||
}
|
||||
],
|
||||
},
|
||||
'agents': {
|
||||
'topology': 'default',
|
||||
'distribution': [{
|
||||
'agent_class': CustomAgent,
|
||||
}]
|
||||
}
|
||||
}
|
||||
env = environment.Environment(**model_params)
|
||||
assert env.topologies
|
||||
assert env.G
|
||||
env.step()
|
||||
assert len(env.topologies['default']) == 2
|
||||
assert len(env.G) == 2
|
||||
assert len(env.agents) == 2
|
||||
assert env.agents[1].count_agents(state_id='normal') == 2
|
||||
assert env.agents[1].count_agents(state_id='normal', limit_neighbors=True) == 1
|
||||
assert env.agents[1].count_agents(state_id="normal") == 2
|
||||
assert env.agents[1].count_agents(state_id="normal", limit_neighbors=True) == 1
|
||||
assert env.agents[0].neighbors == 1
|
||||
|
||||
def test_custom_agent_neighbors(self):
|
||||
"""Allow for search of neighbors with a certain state_id"""
|
||||
config = {
|
||||
'model_params': {
|
||||
'topologies': {
|
||||
'default': {
|
||||
'path': join(ROOT, 'test.gexf')
|
||||
}
|
||||
},
|
||||
'agents': {
|
||||
'topology': 'default',
|
||||
'distribution': [
|
||||
{
|
||||
'weight': 1,
|
||||
'agent_class': CustomAgent
|
||||
}
|
||||
]
|
||||
}
|
||||
"model_params": {
|
||||
"topology": {"path": join(ROOT, "test.gexf")},
|
||||
"agents": {
|
||||
"topology": True,
|
||||
"distribution": [{"weight": 1, "agent_class": CustomAgent}],
|
||||
},
|
||||
},
|
||||
'max_time': 10,
|
||||
"max_time": 10,
|
||||
}
|
||||
s = simulation.from_config(config)
|
||||
env = s.run_simulation(dry_run=True)[0]
|
||||
assert env.agents[1].count_agents(state_id='normal') == 2
|
||||
assert env.agents[1].count_agents(state_id='normal', limit_neighbors=True) == 1
|
||||
assert env.agents[1].count_agents(state_id="normal") == 2
|
||||
assert env.agents[1].count_agents(state_id="normal", limit_neighbors=True) == 1
|
||||
assert env.agents[0].neighbors == 1
|
||||
|
||||
def test_subgraph(self):
|
||||
'''An agent should be able to subgraph the global topology'''
|
||||
"""An agent should be able to subgraph the global topology"""
|
||||
G = nx.Graph()
|
||||
G.add_node(3)
|
||||
G.add_edge(1, 2)
|
||||
distro = agents.calculate_distribution(agent_class=agents.NetworkAgent)
|
||||
aconfig = config.AgentConfig(distribution=distro, topology='default')
|
||||
env = environment.Environment(name='Test', topologies={'default': G}, agents=aconfig)
|
||||
aconfig = config.AgentConfig(distribution=distro, topology=True)
|
||||
env = environment.Environment(name="Test", topology=G, agents=aconfig)
|
||||
lst = list(env.network_agents)
|
||||
|
||||
a2 = env.find_one(node_id=2)
|
||||
|
Loading…
Reference in New Issue
Block a user