feat: persistent rules and stuff
So ugly ref: N25B-376
This commit is contained in:
@@ -93,6 +93,33 @@ class Rule:
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return f"{self.head} :- {self.body}."
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@dataclass
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class PersistentRule:
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"""
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Represents an inference rule, where the inferred belief is persistent when formed.
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"""
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head: Expression
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body: Expression
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def __str__(self):
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if not self.body:
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raise Exception("Rule without body should not be persistent.")
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lines = []
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if isinstance(self.body, BinaryOp):
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lines.append(f"+{self.body.left}")
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if self.body.operator == "&":
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lines.append(f" : {self.body.right}")
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lines.append(f" <- +{self.head}.")
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if self.body.operator == "|":
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lines.append(f"+{self.body.right}")
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lines.append(f" <- +{self.head}.")
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return "\n".join(lines)
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@dataclass
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class Plan:
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"""
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@@ -148,7 +175,7 @@ class AgentSpeakFile:
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"""
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initial_beliefs: list[Rule] = field(default_factory=list)
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inference_rules: list[Rule] = field(default_factory=list)
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inference_rules: list[Rule | PersistentRule] = field(default_factory=list)
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plans: list[Plan] = field(default_factory=list)
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def __str__(self):
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@@ -161,7 +188,11 @@ class AgentSpeakFile:
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if self.inference_rules:
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sections.append("// --- Inference Rules ---")
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sections.extend(str(rule) for rule in self.inference_rules)
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sections.extend(str(rule) for rule in self.inference_rules if isinstance(rule, Rule))
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sections.append("")
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sections.extend(
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str(rule) for rule in self.inference_rules if isinstance(rule, PersistentRule)
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)
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sections.append("")
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if self.plans:
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@@ -5,8 +5,6 @@ from functools import singledispatchmethod
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from slugify import slugify
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from control_backend.agents.bdi import BDICoreAgent
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# Import the AST we defined above
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from control_backend.agents.bdi.asl_ast import (
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ActionLiteral,
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AgentSpeakFile,
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@@ -14,13 +12,13 @@ from control_backend.agents.bdi.asl_ast import (
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BinaryOp,
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Expression,
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GoalLiteral,
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PersistentRule,
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Plan,
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Rule,
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)
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from control_backend.agents.bdi.bdi_program_manager import test_program
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# Import your Pydantic models (adjust import based on your file structure)
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from control_backend.schemas.program import (
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BasicBelief,
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Belief,
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ConditionalNorm,
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GestureAction,
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@@ -46,13 +44,17 @@ async def do_things():
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f.write(program)
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else:
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# filename = "0test.asl"
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filename = "1766053943.asl"
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filename = "1766062491.asl"
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bdi_agent = BDICoreAgent("BDICoreAgent", filename)
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flag = asyncio.Event()
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await bdi_agent.start()
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await flag.wait()
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def do_other_things():
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print(AgentSpeakGenerator().generate(test_program))
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class AgentSpeakGenerator:
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"""
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Converts a Pydantic Program behavior model into an AgentSpeak(L) AST,
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@@ -118,6 +120,10 @@ class AgentSpeakGenerator:
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# +user_said(Message) : phase(ID) <- !goal1; !goal2; !transition_phase.
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goal_actions = [ActionLiteral("-responded_this_turn")]
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goal_actions += [
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ActionLiteral(f"!check_{self._slugify_str(keyword)}")
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for keyword in self._get_keyword_conditionals(phase)
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]
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goal_actions += [ActionLiteral(f"!{self._slugify(g)}") for g in phase.goals]
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goal_actions.append(ActionLiteral("!transition_phase"))
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@@ -143,10 +149,20 @@ class AgentSpeakGenerator:
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body=[
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ActionLiteral(f'-phase("{phase.id}")'),
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ActionLiteral(f'+phase("{next_id}")'),
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ActionLiteral("user_said(Anything)"),
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ActionLiteral("-+user_said(Anything)"),
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],
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)
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)
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def _get_keyword_conditionals(self, phase: Phase) -> list[str]:
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res = []
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for belief in self._extract_basic_beliefs_from_phase(phase):
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if isinstance(belief, KeywordBelief):
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res.append(belief.keyword)
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return res
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# --- Section: Norms & Beliefs ---
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def _generate_norms(self, phase: Phase, asl: AgentSpeakFile):
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@@ -174,21 +190,22 @@ class AgentSpeakGenerator:
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though ASL engines often handle redefinition or we can use a set to track processed IDs.
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"""
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if isinstance(belief, KeywordBelief):
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# Rule: keyword_said("word") :- user_said(M) & .substring("word", M, P) & P >= 0.
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kwd_slug = f'"{belief.keyword}"'
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head = BeliefLiteral("keyword_said", [kwd_slug])
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# Avoid duplicates
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if any(str(r.head) == str(head) for r in asl.inference_rules):
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return
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body = BinaryOp(
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BeliefLiteral("user_said", ["Message"]),
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"&",
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BinaryOp(f".substring({kwd_slug}, Message, Pos)", "&", "Pos >= 0"),
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)
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asl.inference_rules.append(Rule(head=head, body=body))
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pass
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# # Rule: keyword_said("word") :- user_said(M) & .substring("word", M, P) & P >= 0.
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# kwd_slug = f'"{belief.keyword}"'
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# head = BeliefLiteral("keyword_said", [kwd_slug])
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#
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# # Avoid duplicates
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# if any(str(r.head) == str(head) for r in asl.inference_rules):
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# return
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#
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# body = BinaryOp(
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# BeliefLiteral("user_said", ["Message"]),
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# "&",
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# BinaryOp(f".substring({kwd_slug}, Message, Pos)", "&", "Pos >= 0"),
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# )
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#
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# asl.inference_rules.append(Rule(head=head, body=body))
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elif isinstance(belief, InferredBelief):
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self._ensure_belief_inference(belief.left, asl)
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@@ -204,7 +221,7 @@ class AgentSpeakGenerator:
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body = BinaryOp(
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self._belief_to_expr(belief.left), op_char, self._belief_to_expr(belief.right)
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)
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asl.inference_rules.append(Rule(head=head, body=body))
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asl.inference_rules.append(PersistentRule(head=head, body=body))
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def _belief_to_expr(self, belief: Belief) -> Expression:
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if isinstance(belief, KeywordBelief):
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@@ -221,17 +238,26 @@ class AgentSpeakGenerator:
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previous_goal = goal
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def _generate_goal_plan_recursive(
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self, goal: Goal, phase_id: str, previous_goal: Goal | None, asl: AgentSpeakFile
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self,
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goal: Goal,
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phase_id: str,
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previous_goal: Goal | None,
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asl: AgentSpeakFile,
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responded_needed: bool = True,
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can_fail: bool = True,
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):
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goal_slug = self._slugify(goal)
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# phase(ID) & not responded_this_turn & not achieved_goal
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context = [
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BeliefLiteral("phase", [f'"{phase_id}"']),
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BeliefLiteral("responded_this_turn", negated=True),
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BeliefLiteral(f"achieved_{goal_slug}", negated=True),
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]
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if responded_needed:
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context.append(BeliefLiteral("responded_this_turn", negated=True))
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if can_fail:
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context.append(BeliefLiteral(f"achieved_{goal_slug}", negated=True))
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if previous_goal:
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prev_slug = self._slugify(previous_goal)
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context.append(BeliefLiteral(f"achieved_{prev_slug}"))
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@@ -256,6 +282,9 @@ class AgentSpeakGenerator:
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body_actions.append(ActionLiteral(f"+achieved_{goal_slug}"))
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asl.plans.append(Plan(trigger=GoalLiteral(goal_slug), context=context, body=body_actions))
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asl.plans.append(
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Plan(trigger=GoalLiteral(goal_slug), context=[], body=[ActionLiteral("true")])
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)
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prev_sub = None
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for sub_goal in sub_goals_to_process:
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@@ -265,6 +294,28 @@ class AgentSpeakGenerator:
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# --- Section: Triggers ---
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def _generate_triggers(self, phase: Phase, asl: AgentSpeakFile):
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for keyword in self._get_keyword_conditionals(phase):
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asl.plans.append(
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Plan(
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trigger=GoalLiteral(f"check_{self._slugify_str(keyword)}"),
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context=[
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ActionLiteral(
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f'user_said(Message) & .substring("{keyword}", Message, Pos) & Pos >= 0'
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)
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],
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body=[
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ActionLiteral(f'+keyword_said("{keyword}")'),
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ActionLiteral(f'-keyword_said("{keyword}")'),
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],
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)
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)
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asl.plans.append(
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Plan(
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trigger=GoalLiteral(f"check_{self._slugify_str(keyword)}"),
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body=[ActionLiteral("true")],
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)
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)
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for trigger in phase.triggers:
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self._ensure_belief_inference(trigger.condition, asl)
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@@ -300,31 +351,18 @@ class AgentSpeakGenerator:
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# Recurse for triggered goals
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prev_sub = None
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for sub_goal in sub_goals:
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self._generate_goal_plan_recursive(sub_goal, str(phase.id), prev_sub, asl)
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self._generate_goal_plan_recursive(
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sub_goal, str(phase.id), prev_sub, asl, False, False
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)
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prev_sub = sub_goal
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# --- Section: Fallbacks ---
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def _generate_fallbacks(self, program: Program, asl: AgentSpeakFile):
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for phase in program.phases:
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for goal in phase.goals:
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self._generate_goal_fallbacks_recursive(goal, asl)
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asl.plans.append(
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Plan(trigger=GoalLiteral("transition_phase"), context=[], body=[ActionLiteral("true")])
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)
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def _generate_goal_fallbacks_recursive(self, goal: Goal, asl: AgentSpeakFile):
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goal_slug = self._slugify(goal)
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asl.plans.append(
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Plan(trigger=GoalLiteral(goal_slug), context=[], body=[ActionLiteral("true")])
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)
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for step in goal.plan.steps:
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if not isinstance(step, Goal):
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continue
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self._generate_goal_fallbacks_recursive(step, asl)
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# --- Helpers ---
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@singledispatchmethod
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@@ -354,6 +392,34 @@ class AgentSpeakGenerator:
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def _slugify_str(self, text: str) -> str:
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return slugify(text, separator="_", stopwords=["a", "an", "the", "we", "you", "I"])
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def _extract_basic_beliefs_from_program(self, program: Program) -> list[BasicBelief]:
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beliefs = []
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for phase in program.phases:
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beliefs.extend(self._extract_basic_beliefs_from_phase(phase))
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return beliefs
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def _extract_basic_beliefs_from_phase(self, phase: Phase) -> list[BasicBelief]:
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beliefs = []
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for norm in phase.norms:
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if isinstance(norm, ConditionalNorm):
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beliefs += self._extract_basic_beliefs_from_belief(norm.condition)
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for trigger in phase.triggers:
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beliefs += self._extract_basic_beliefs_from_belief(trigger.condition)
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return beliefs
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def _extract_basic_beliefs_from_belief(self, belief: Belief) -> list[BasicBelief]:
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if isinstance(belief, InferredBelief):
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return self._extract_basic_beliefs_from_belief(
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belief.left
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) + self._extract_basic_beliefs_from_belief(belief.right)
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return [belief]
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if __name__ == "__main__":
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asyncio.run(do_things())
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# do_other_things()y
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@@ -89,9 +89,9 @@ class BDICoreAgent(BaseAgent):
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the agent has deferred intentions (deadlines).
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"""
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while self._running:
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await (
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self._wake_bdi_loop.wait()
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) # gets set whenever there's an update to the belief base
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# await (
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# self._wake_bdi_loop.wait()
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# ) # gets set whenever there's an update to the belief base
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# Agent knows when it's expected to have to do its next thing
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maybe_more_work = True
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@@ -168,6 +168,7 @@ class BDICoreAgent(BaseAgent):
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:param args: Arguments for the belief.
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"""
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# new_args = (agentspeak.Literal(arg) for arg in args) # TODO: Eventually support multiple
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args = args or []
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if args:
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merged_args = DELIMITER.join(arg for arg in args)
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new_args = (agentspeak.Literal(merged_args),)
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