Files
dreamweaver/backend/app/services/harness/executor.py

151 lines
4.8 KiB
Python

"""Small-step workflow executor helpers for generation harness adoption."""
from collections.abc import Awaitable, Callable
from dataclasses import dataclass
from typing import TYPE_CHECKING, Any
from sqlalchemy.ext.asyncio import AsyncSession
from app.services.harness.artifacts import AssetCompletionResult
from app.services.harness.plans import WorkflowPlan
from app.services.harness.trace import TraceRecorder
from app.services.harness.types import ArtifactKind, WorkflowStep
if TYPE_CHECKING:
from app.db.models import GenerationJob
AssetTask = Callable[[], Awaitable[AssetCompletionResult]]
@dataclass(frozen=True)
class AssetPlanRunResult:
"""Result of executing asset-producing tasks from one workflow plan."""
task_results: tuple[AssetCompletionResult, ...]
executed_task_keys: tuple[str, ...]
ignored_task_keys: tuple[str, ...]
@property
def result_assets(self) -> tuple[str, ...]:
"""Assets returned by executed task handlers."""
return tuple(result.asset for result in self.task_results)
def to_metadata(self, plan: WorkflowPlan) -> dict[str, Any]:
"""Return internal executor coverage metadata for admin-only analytics."""
return {
"plan_mode": plan.mode.value,
"planned_task_count": len(plan.tasks),
"executed_task_count": len(self.executed_task_keys),
"ignored_task_count": len(self.ignored_task_keys),
"result_count": len(self.task_results),
"executed_task_keys": list(self.executed_task_keys),
"ignored_task_keys": list(self.ignored_task_keys),
"result_assets": list(self.result_assets),
}
async def record_workflow_plan(
db: AsyncSession,
*,
job: "GenerationJob | None",
plan: WorkflowPlan,
) -> None:
"""Persist a workflow plan snapshot for a tracked job."""
await TraceRecorder(db).record_step(
job=job,
event_type="workflow_planned",
status="succeeded",
message="Workflow plan selected for this generation request.",
metadata={"plan": plan.to_snapshot()},
step=WorkflowStep.REQUEST_ACCEPTANCE,
artifact=ArtifactKind.NONE,
blocks_main_result=True,
)
async def record_evaluation_result(
db: AsyncSession,
*,
job: "GenerationJob | None",
story_id: int | None = None,
metadata: dict[str, Any],
status: str,
artifact: ArtifactKind | str = ArtifactKind.STORY_TEXT,
) -> None:
"""Persist a deterministic evaluation result for a tracked job."""
await TraceRecorder(db).record_step(
job=job,
story_id=story_id,
event_type="evaluation_completed",
status=status,
message="Generated content evaluation completed.",
metadata=metadata,
step=WorkflowStep.EVALUATION,
artifact=artifact,
blocks_main_result=status != "succeeded",
)
async def record_executor_result(
db: AsyncSession,
*,
job: "GenerationJob | None",
plan: WorkflowPlan,
result: AssetPlanRunResult,
) -> None:
"""Persist internal executor coverage metadata for a tracked job."""
await TraceRecorder(db).record_step(
job=job,
event_type="executor_completed",
status="succeeded",
message="Workflow executor completed planned asset tasks.",
metadata=result.to_metadata(plan),
step=WorkflowStep.UNKNOWN,
artifact=ArtifactKind.NONE,
blocks_main_result=False,
)
async def run_asset_plan(
plan: WorkflowPlan,
*,
image_task: AssetTask | None = None,
audio_task: AssetTask | None = None,
) -> AssetPlanRunResult:
"""Execute asset-producing tasks in the order declared by a workflow plan."""
if plan.mode.value not in {"asset_generation", "asset_retry"}:
raise ValueError("run_asset_plan only supports asset workflow plans")
task_results: list[AssetCompletionResult] = []
executed_task_keys: list[str] = []
ignored_task_keys: list[str] = []
for task in plan.tasks:
if task.key == "complete_image_asset":
if image_task is None:
raise ValueError("Asset workflow plan requires an image task handler")
task_results.append(await image_task())
executed_task_keys.append(task.key)
continue
if task.key == "complete_audio_asset":
if audio_task is None:
raise ValueError("Asset workflow plan requires an audio task handler")
task_results.append(await audio_task())
executed_task_keys.append(task.key)
continue
ignored_task_keys.append(task.key)
return AssetPlanRunResult(
task_results=tuple(task_results),
executed_task_keys=tuple(executed_task_keys),
ignored_task_keys=tuple(ignored_task_keys),
)