core/generate/realizer.py
Shay a7febd48ef
Integrate semantic realizer into cognition pipeline
- add intent-aware semantic templates for seed-pack relation predicates
- add semantic realization path for ArticulationTarget outputs
- wire semantic realization into CognitiveTurnPipeline results without changing ChatRuntime.chat
- expand cognition CLI suite coverage for semantic realizer integration
- add focused tests for deterministic semantic surfaces and response contract stability
2026-05-15 07:08:37 -07:00

164 lines
5 KiB
Python

"""ArticulationRealizerV2 — deterministic template-based realization.
Converts an ArticulationTarget (ordered rhetorical steps from the graph
planner) into a RealizedPlan: an ordered sequence of surface fragments
joined into a single deterministic surface string.
Design constraints:
- No LLM fallback
- No broad grammar engine
- Deterministic: same ArticulationTarget → same RealizedPlan, always
- Composable: does not replace the existing realize() path yet
"""
from __future__ import annotations
from dataclasses import dataclass
from generate.graph_planner import (
ArticulationStep,
ArticulationTarget,
PropositionGraph,
RhetoricalMove,
)
from generate.intent import IntentTag
from generate.semantic_templates import render_semantic
from generate.templates import render_step
@dataclass(frozen=True, slots=True)
class RealizedFragment:
node_id: str
move: RhetoricalMove
surface: str
def as_dict(self) -> dict[str, str]:
return {
"node_id": self.node_id,
"move": self.move.value,
"surface": self.surface,
}
@dataclass(frozen=True, slots=True)
class RealizedPlan:
fragments: tuple[RealizedFragment, ...]
surface: str
def as_dict(self) -> dict[str, object]:
return {
"fragments": tuple(f.as_dict() for f in self.fragments),
"surface": self.surface,
}
def realize_semantic(
target: ArticulationTarget,
graph: PropositionGraph | None = None,
) -> RealizedPlan:
"""Realize using intent-aware semantic templates.
Uses the source intent to select a template that produces structurally
better surfaces (e.g. "X is defined as Y" for definition intents)
rather than the generic rhetorical-move templates.
Returns an empty RealizedPlan for empty/None targets so the caller
can fall back to the older articulation path.
"""
if target is None or not target.steps:
return RealizedPlan(fragments=(), surface="")
intent = target.source_intent
fragments: list[RealizedFragment] = []
if intent is IntentTag.COMPARISON and len(target.steps) >= 2:
step_a = target.steps[0]
step_b = target.steps[1]
obj_a = _resolve_obj(step_a, graph)
secondary = step_b.subject if step_b.subject != step_a.subject else obj_a
surface = render_semantic(
intent=intent,
subject=step_a.subject,
predicate=step_a.predicate,
obj=obj_a,
secondary=secondary,
)
fragments.append(RealizedFragment(
node_id=step_a.node_id,
move=RhetoricalMove.CONTRAST,
surface=surface,
))
else:
for step in target.steps:
obj = _resolve_obj(step, graph)
surface = render_semantic(
intent=intent,
subject=step.subject,
predicate=step.predicate,
obj=obj,
)
move = step.move
if move is RhetoricalMove.ASSERT and intent is IntentTag.CORRECTION:
move = RhetoricalMove.CORRECT
fragments.append(RealizedFragment(
node_id=step.node_id,
move=move,
surface=surface,
))
joined = ". ".join(f.surface for f in fragments)
if joined and not joined.endswith("."):
joined += "."
return RealizedPlan(fragments=tuple(fragments), surface=joined)
def _resolve_obj(step: ArticulationStep, graph: PropositionGraph | None) -> str:
"""Look up the object slot from the graph node matching this step."""
if graph is None:
return "..."
for node in graph.nodes:
if node.node_id == step.node_id:
return node.obj
return "..."
def realize_target(
target: ArticulationTarget,
graph: PropositionGraph | None = None,
) -> RealizedPlan:
"""Realize an ArticulationTarget into a deterministic surface plan.
Each step is rendered through the template for its rhetorical move,
then fragments are joined with sentence-level punctuation.
Returns an empty-but-valid RealizedPlan for empty/None targets.
"""
if target is None or not target.steps:
return RealizedPlan(fragments=(), surface="")
fragments: list[RealizedFragment] = []
for step in target.steps:
obj = _resolve_obj(step, graph)
move = step.move
if move is RhetoricalMove.ASSERT and target.source_intent is IntentTag.CORRECTION:
move = RhetoricalMove.CORRECT
surface = render_step(
move=move,
subject=step.subject,
predicate=step.predicate,
obj=obj,
)
fragments.append(
RealizedFragment(
node_id=step.node_id,
move=move,
surface=surface,
)
)
joined = ". ".join(f.surface for f in fragments)
if joined and not joined.endswith("."):
joined += "."
return RealizedPlan(fragments=tuple(fragments), surface=joined)