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8c686ce | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | import json
import random
from ontology_architect.agents.base_agent import BaseAgent
from ontology_architect.models import OntologyArchitectAction, OntologyArchitectObservation
class RandomAgent(BaseAgent):
"""An agent that generates valid but mathematically random JSON DSLs."""
def __init__(self, name: str = "random_agent"):
super().__init__(name)
def act(self, observation: OntologyArchitectObservation) -> OntologyArchitectAction:
# A simple valid random theory structure
a_coef = random.uniform(-1.0, 1.0)
b_coef = random.uniform(-1.0, 1.0)
noise = random.uniform(0.01, 0.5)
theory_dict = {
"dsl_version": 1,
"name": f"random_theory_{random.randint(1000, 9999)}",
"state": ["A", "B"],
"dynamics": {
"A": {"linear": {"terms": {"A": a_coef, "B": b_coef}}},
"B": {"add": [{"sin": "A"}, {"linear": {"terms": {"A": -0.1}}}]}
},
"observations": {
"pressure": {"var": "A"},
"turbulence": {"pow": [{"var": "B"}, 2]},
"thermal_radiation": {"mul": [{"var": "B"}, {"exp": {"var": "A"}}]},
"magnetic_flux": {"mul": [0.1, {"var": "A"}, {"var": "B"}]}
},
"integrator": {"dt": 0.15, "substeps": 1},
"noise": noise
}
theory_module = json.dumps(theory_dict)
paradigm_shift_claim = random.random() < 0.05 # Rarely guess a paradigm shift
return OntologyArchitectAction(
theory_module=theory_module,
revision_note="Randomly generated coefficients.",
paradigm_shift_claim=paradigm_shift_claim
)
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