transformation registry, transformation runs, and derived artifact lineage

This commit is contained in:
2026-05-06 18:05:44 +02:00
parent 27c068f9ac
commit 43c06d6024
14 changed files with 1695 additions and 8 deletions

View File

@@ -23,6 +23,15 @@ from .retrieval_service import (
RetrievalQualityMetrics,
RetrievalSnippet,
)
from .transformation_service import (
TransformationExecutionContext,
TransformationOperationRegistry,
TransformationOutput,
TransformationRequest,
TransformationRunResult,
TransformationService,
default_transformation_registry,
)
__all__ = [
"AssetChangeResult",
@@ -45,4 +54,11 @@ __all__ = [
"RetrievalFeedbackResult",
"RetrievalQualityMetrics",
"RetrievalSnippet",
"TransformationExecutionContext",
"TransformationOperationRegistry",
"TransformationOutput",
"TransformationRequest",
"TransformationRunResult",
"TransformationService",
"default_transformation_registry",
]

View File

@@ -76,6 +76,10 @@ class AssetRegistryService:
metadata_records: list[MetadataRecord] | None = None,
asset_id: str | None = None,
idempotency_key: str | None = None,
version_change_type: VersionChangeType = VersionChangeType.CREATED,
operation_id: str | None = None,
parent_version_id: str | None = None,
metadata_delta: dict[str, Any] | None = None,
) -> AssetChangeResult:
request_hash = mapping_digest(
{
@@ -85,6 +89,10 @@ class AssetRegistryService:
"representations": [representation.to_dict() for representation in representations or []],
"metadata_records": [record.to_dict() for record in metadata_records or []],
"asset_id": asset_id,
"version_change_type": version_change_type.value,
"operation_id": operation_id,
"parent_version_id": parent_version_id,
"metadata_delta": dict(metadata_delta or {}),
}
)
if idempotency_key:
@@ -111,9 +119,12 @@ class AssetRegistryService:
version = AssetVersion(
asset_id=asset.id,
sequence=1,
change_type=VersionChangeType.CREATED,
change_type=version_change_type,
representation_ids=tuple(item.representation_id for item in representations or []),
actor_id=context.actor.id,
operation_id=operation_id,
parent_version_id=parent_version_id,
metadata_delta=dict(metadata_delta or {}),
lifecycle=classification.lifecycle.value,
)
asset = asset.with_current_version(version.version_id)

View File

@@ -0,0 +1,728 @@
"""Traceable transformation operations over governed assets."""
from __future__ import annotations
import json
from dataclasses import dataclass, field
from typing import Any, Callable
from kontextual_engine.core import (
AssetRepresentation,
AuditEvent,
AuditOutcome,
Classification,
DerivedArtifactLineage,
KnowledgeAsset,
MetadataRecord,
OperationContext,
PolicyDecision,
RepresentationKind,
Sensitivity,
TransformationOperation,
TransformationRun,
TransformationRunStatus,
VersionChangeType,
new_id,
)
from kontextual_engine.errors import Diagnostic
from kontextual_engine.ports import AllowAllPolicyGateway, AssetRegistryRepository, PolicyGateway
from .asset_service import AssetChangeResult, AssetRegistryService
OperationHandler = Callable[["TransformationExecutionContext"], "TransformationOutput"]
@dataclass(frozen=True)
class TransformationRequest:
operation_id: str
source_asset_ids: tuple[str, ...] = ()
parameters: dict[str, Any] = field(default_factory=dict)
output_title: str | None = None
output_asset_id: str | None = None
output_asset_type: str = "derived_artifact"
output_media_type: str | None = None
metadata: dict[str, Any] = field(default_factory=dict)
def __post_init__(self) -> None:
object.__setattr__(self, "source_asset_ids", tuple(self.source_asset_ids))
def to_dict(self) -> dict[str, Any]:
return {
"operation_id": self.operation_id,
"source_asset_ids": list(self.source_asset_ids),
"parameters": dict(self.parameters),
"output_title": self.output_title,
"output_asset_id": self.output_asset_id,
"output_asset_type": self.output_asset_type,
"output_media_type": self.output_media_type,
"metadata": dict(self.metadata),
}
@dataclass(frozen=True)
class TransformationOutput:
content: str | bytes
media_type: str
title: str
metadata: dict[str, Any] = field(default_factory=dict)
adapter_provenance: dict[str, Any] = field(default_factory=dict)
@dataclass(frozen=True)
class TransformationExecutionContext:
operation: TransformationOperation
request: TransformationRequest
run: TransformationRun
source_assets: tuple[KnowledgeAsset, ...]
source_representations: dict[str, tuple[AssetRepresentation, ...]]
@dataclass(frozen=True)
class TransformationRunResult:
run: TransformationRun | None
success: bool
diagnostics: tuple[Diagnostic, ...] = ()
output_asset: KnowledgeAsset | None = None
output_representation: AssetRepresentation | None = None
lineage: DerivedArtifactLineage | None = None
audit_event: AuditEvent | None = None
policy_decision: PolicyDecision | None = None
def __post_init__(self) -> None:
object.__setattr__(self, "diagnostics", tuple(self.diagnostics))
def to_dict(self) -> dict[str, Any]:
return {
"success": self.success,
"run": self.run.to_dict() if self.run else None,
"diagnostics": [diagnostic.to_dict() for diagnostic in self.diagnostics],
"output_asset": self.output_asset.to_dict() if self.output_asset else None,
"output_representation": self.output_representation.to_dict() if self.output_representation else None,
"lineage": self.lineage.to_dict() if self.lineage else None,
"audit_event": self.audit_event.to_dict() if self.audit_event else None,
"policy_decision": self.policy_decision.to_dict() if self.policy_decision else None,
}
class TransformationOperationRegistry:
def __init__(self) -> None:
self._operations: dict[str, TransformationOperation] = {}
self._handlers: dict[str, OperationHandler] = {}
def register(
self,
operation: TransformationOperation,
*,
handler: OperationHandler | None = None,
) -> TransformationOperation:
self._operations[operation.operation_id] = operation
if handler is not None:
self._handlers[operation.operation_id] = handler
return operation
def get(self, operation_id: str) -> TransformationOperation | None:
return self._operations.get(operation_id)
def handler_for(self, operation_id: str) -> OperationHandler | None:
return self._handlers.get(operation_id)
def list_operations(self) -> tuple[TransformationOperation, ...]:
return tuple(sorted(self._operations.values(), key=lambda item: item.operation_id))
def supported_operation_ids(self) -> tuple[str, ...]:
return tuple(operation.operation_id for operation in self.list_operations())
class TransformationService:
def __init__(
self,
repository: AssetRegistryRepository,
*,
registry: TransformationOperationRegistry | None = None,
policy_gateway: PolicyGateway | None = None,
asset_service: AssetRegistryService | None = None,
) -> None:
self.repository = repository
self.registry = registry or default_transformation_registry()
self.policy_gateway = policy_gateway or AllowAllPolicyGateway()
self.asset_service = asset_service or AssetRegistryService(
repository,
policy_gateway=self.policy_gateway,
)
def list_operations(self) -> tuple[TransformationOperation, ...]:
return self.registry.list_operations()
def execute_transformation(
self,
request: TransformationRequest,
context: OperationContext,
) -> TransformationRunResult:
operation = self.registry.get(request.operation_id)
if operation is None:
return TransformationRunResult(
run=None,
success=False,
diagnostics=(
Diagnostic(
severity="error",
code="transformation.operation_unsupported",
message="Transformation operation is not registered",
details={
"operation_id": request.operation_id,
"supported": list(self.registry.supported_operation_ids()),
},
),
),
)
self.repository.save_actor(context.actor)
source_assets = tuple(self.repository.get_asset(asset_id) for asset_id in request.source_asset_ids)
source_version_ids = tuple(asset.current_version_id for asset in source_assets if asset.current_version_id)
decision = self._authorize(
context,
"transformation.run.execute",
f"transformation:{operation.operation_id}",
resource_metadata={
"operation": operation.to_dict(),
"request": request.to_dict(),
"source_version_ids": list(source_version_ids),
},
)
source_decisions: tuple[PolicyDecision, ...] = ()
policy_context = {"run_execute": decision.to_dict()}
if decision.allowed:
source_decisions = tuple(
self._authorize(
context,
"asset.retrieve",
f"asset:{asset.id}",
resource_metadata={
"asset_id": asset.id,
"title": asset.title,
"classification": asset.classification.to_dict(),
"current_version_id": asset.current_version_id,
},
)
for asset in source_assets
)
policy_context["source_reads"] = [item.to_dict() for item in source_decisions]
capability_diagnostics = _capability_diagnostics(operation, source_assets, request)
run = TransformationRun(
operation_id=operation.operation_id,
source_asset_ids=request.source_asset_ids,
source_version_ids=source_version_ids,
parameters=dict(request.parameters),
actor_id=context.actor.id,
correlation_id=context.correlation_id,
policy_context=policy_context,
)
self.repository.save_transformation_run(run)
self._audit(
"transformation.run.queued",
f"transformation_run:{run.run_id}",
AuditOutcome.SUCCESS,
context,
decision,
details={"operation_id": operation.operation_id},
)
if not decision.allowed:
failed = run.failed((_diagnostic_dict(_permission_diagnostic(decision)),))
self.repository.save_transformation_run(failed)
event = self._audit(
"transformation.run.execute",
f"transformation_run:{run.run_id}",
AuditOutcome.DENIED,
context,
decision,
details={"operation_id": operation.operation_id},
)
return TransformationRunResult(
run=failed,
success=False,
diagnostics=(_permission_diagnostic(decision),),
audit_event=event,
policy_decision=decision,
)
denied_source_decisions = tuple(item for item in source_decisions if not item.allowed)
if denied_source_decisions:
diagnostics = tuple(_permission_diagnostic(item) for item in denied_source_decisions)
failed = run.failed(tuple(_diagnostic_dict(item) for item in diagnostics))
self.repository.save_transformation_run(failed)
event = self._audit(
"transformation.run.execute",
f"transformation_run:{run.run_id}",
AuditOutcome.DENIED,
context,
denied_source_decisions[0],
details={
"operation_id": operation.operation_id,
"denied_source_reads": [item.to_dict() for item in denied_source_decisions],
},
)
return TransformationRunResult(
run=failed,
success=False,
diagnostics=diagnostics,
audit_event=event,
policy_decision=denied_source_decisions[0],
)
if capability_diagnostics:
failed = run.failed(tuple(_diagnostic_dict(item) for item in capability_diagnostics))
self.repository.save_transformation_run(failed)
event = self._audit(
"transformation.run.failed",
f"transformation_run:{run.run_id}",
AuditOutcome.FAILED,
context,
decision,
details={"diagnostics": [item.to_dict() for item in capability_diagnostics]},
)
return TransformationRunResult(
run=failed,
success=False,
diagnostics=tuple(capability_diagnostics),
audit_event=event,
policy_decision=decision,
)
handler = self.registry.handler_for(operation.operation_id)
if handler is None:
diagnostic = Diagnostic(
severity="error",
code="transformation.operation_not_executable",
message="Transformation operation is registered but has no executable adapter",
details={
"operation_id": operation.operation_id,
"adapter_ref": operation.adapter_ref,
},
)
failed = run.failed((_diagnostic_dict(diagnostic),))
self.repository.save_transformation_run(failed)
event = self._audit(
"transformation.run.failed",
f"transformation_run:{run.run_id}",
AuditOutcome.FAILED,
context,
decision,
details={"diagnostics": [diagnostic.to_dict()]},
)
return TransformationRunResult(
run=failed,
success=False,
diagnostics=(diagnostic,),
audit_event=event,
policy_decision=decision,
)
running = run.running()
self.repository.save_transformation_run(running)
self._audit(
"transformation.run.started",
f"transformation_run:{run.run_id}",
AuditOutcome.SUCCESS,
context,
decision,
details={"operation_id": operation.operation_id},
)
source_representations = {
asset.id: tuple(self.repository.list_representations(asset_id=asset.id))
for asset in source_assets
}
try:
output = handler(
TransformationExecutionContext(
operation=operation,
request=request,
run=running,
source_assets=source_assets,
source_representations=source_representations,
)
)
asset_change, output_representation, lineage = self._persist_output(
request,
output,
running,
source_assets,
context,
decision,
)
completed = running.completed(output_asset_ids=(asset_change.asset.id,))
self.repository.save_transformation_run(completed)
event = self._audit(
"transformation.run.completed",
f"transformation_run:{completed.run_id}",
AuditOutcome.SUCCESS,
context,
decision,
details={
"operation_id": operation.operation_id,
"output_asset_id": asset_change.asset.id,
"lineage_id": lineage.lineage_id,
"version_id": asset_change.version.version_id,
},
)
return TransformationRunResult(
run=completed,
success=True,
output_asset=asset_change.asset,
output_representation=output_representation,
lineage=lineage,
audit_event=event,
policy_decision=decision,
)
except Exception as exc:
diagnostic = Diagnostic(
severity="error",
code="transformation.execution_failed",
message="Transformation execution failed",
details={"error_type": type(exc).__name__, "error": str(exc)},
)
failed = running.failed((_diagnostic_dict(diagnostic),))
self.repository.save_transformation_run(failed)
event = self._audit(
"transformation.run.failed",
f"transformation_run:{failed.run_id}",
AuditOutcome.FAILED,
context,
decision,
details={"diagnostics": [diagnostic.to_dict()]},
)
return TransformationRunResult(
run=failed,
success=False,
diagnostics=(diagnostic,),
audit_event=event,
policy_decision=decision,
)
def get_run(self, run_id: str) -> TransformationRun:
return self.repository.get_transformation_run(run_id)
def list_runs(
self,
*,
status: TransformationRunStatus | None = None,
operation_id: str | None = None,
) -> tuple[TransformationRun, ...]:
return tuple(self.repository.list_transformation_runs(status=status, operation_id=operation_id))
def retry_run(self, run_id: str, context: OperationContext) -> TransformationRunResult:
previous = self.repository.get_transformation_run(run_id)
marked = previous.retried()
self.repository.save_transformation_run(marked)
retry_request = TransformationRequest(
operation_id=previous.operation_id,
source_asset_ids=previous.source_asset_ids,
parameters=dict(previous.parameters),
)
return self.execute_transformation(retry_request, context)
def cancel_run(self, run_id: str, context: OperationContext, *, reason: str | None = None) -> TransformationRun:
run = self.repository.get_transformation_run(run_id)
diagnostic = Diagnostic(
severity="warning",
code="transformation.run_canceled",
message="Transformation run was canceled",
details={"reason": reason} if reason else {},
)
canceled = run.canceled((_diagnostic_dict(diagnostic),))
self.repository.save_actor(context.actor)
decision = PolicyDecision.allow(context.actor.id, "transformation.run.cancel", f"transformation_run:{run_id}")
self.repository.save_transformation_run(canceled)
self._audit(
"transformation.run.canceled",
f"transformation_run:{run_id}",
AuditOutcome.SUCCESS,
context,
decision,
details={"reason": reason} if reason else {},
)
return canceled
def _persist_output(
self,
request: TransformationRequest,
output: TransformationOutput,
run: TransformationRun,
source_assets: tuple[KnowledgeAsset, ...],
context: OperationContext,
decision: PolicyDecision,
) -> tuple[AssetChangeResult, AssetRepresentation, DerivedArtifactLineage]:
output_asset_id = request.output_asset_id or new_id("asset")
output_representation = AssetRepresentation.from_content(
output_asset_id,
RepresentationKind.DERIVED,
request.output_media_type or output.media_type,
output.content,
producer=request.operation_id,
metadata={
"transformation_run_id": run.run_id,
"operation_id": run.operation_id,
"adapter_provenance": dict(output.adapter_provenance),
**output.metadata,
},
)
lineage = DerivedArtifactLineage(
source_asset_ids=run.source_asset_ids,
source_version_ids=run.source_version_ids,
transformation_run_id=run.run_id,
output_asset_id=output_asset_id,
output_representation_id=output_representation.representation_id,
actor_id=context.actor.id,
parameters=dict(run.parameters),
policy_context=dict(run.policy_context),
adapter_provenance=dict(output.adapter_provenance),
)
classification = Classification(
asset_type=request.output_asset_type,
sensitivity=_highest_sensitivity(source_assets),
owner=context.actor.id,
topics=("derived", run.operation_id),
metadata={
"transformation_run_id": run.run_id,
"operation_id": run.operation_id,
**request.metadata,
},
)
asset_change = self.asset_service.create_asset(
request.output_title or output.title,
classification,
context,
asset_id=output_asset_id,
representations=[output_representation],
metadata_records=[
MetadataRecord(
"lineage",
lineage.to_dict(),
provenance={"producer": "kontextual-engine"},
confirmed=True,
),
MetadataRecord(
"transformation_run_id",
run.run_id,
provenance={"producer": "kontextual-engine"},
confirmed=True,
),
],
version_change_type=VersionChangeType.DERIVED_OUTPUT,
operation_id=run.run_id,
parent_version_id=run.source_version_ids[0] if run.source_version_ids else None,
metadata_delta={"lineage_id": lineage.lineage_id, "operation_id": run.operation_id},
)
self.repository.save_derived_lineage(lineage)
return asset_change, output_representation, lineage
def _authorize(
self,
context: OperationContext,
action: str,
resource: str,
*,
resource_metadata: dict[str, Any] | None = None,
) -> PolicyDecision:
self.repository.save_actor(context.actor)
try:
return self.policy_gateway.authorize(
context,
action,
resource,
resource_metadata=resource_metadata,
)
except Exception as exc:
return PolicyDecision.fail_closed(
context.actor.id,
action,
resource,
reason=str(exc) or "Transformation policy gateway failed",
context={"resource_metadata": resource_metadata or {}, "gateway_error": type(exc).__name__},
)
def _audit(
self,
operation: str,
target: str,
outcome: AuditOutcome,
context: OperationContext,
policy_decision: PolicyDecision,
*,
details: dict[str, Any] | None = None,
) -> AuditEvent:
event = AuditEvent.from_context(
operation,
target,
outcome,
context,
policy_decision=policy_decision,
details=details,
)
return self.repository.save_audit_event(event)
def default_transformation_registry() -> TransformationOperationRegistry:
registry = TransformationOperationRegistry()
registry.register(
TransformationOperation(
operation_id="structured_view",
name="Produce Structured View",
description="Create a JSON structured view of source asset metadata and representation references.",
input_spec=("knowledge_asset",),
output_spec=("derived_asset:application/json",),
parameter_schema={"required": []},
required_permissions=("asset.retrieve", "asset.create"),
),
handler=_structured_view_handler,
)
registry.register(
TransformationOperation(
operation_id="summarize",
name="Summarize",
description="Summarize source assets through a provider adapter.",
input_spec=("knowledge_asset",),
output_spec=("derived_asset:text/markdown",),
parameter_schema={"required": ["style"]},
required_permissions=("asset.retrieve", "asset.create"),
adapter_ref="llm-connect",
)
)
registry.register(
TransformationOperation(
operation_id="classify",
name="Classify",
description="Classify assets through a deterministic or provider-backed classifier adapter.",
input_spec=("knowledge_asset",),
output_spec=("metadata_record",),
required_permissions=("asset.retrieve", "asset.metadata.add"),
adapter_ref="classifier-adapter",
)
)
for operation_id, name in (
("markdown_compose", "Markdown Compose"),
("markdown_include", "Markdown Include Resolution"),
("markdown_transform", "Markdown Transform"),
("markdown_validate", "Markdown Validate"),
):
registry.register(
TransformationOperation(
operation_id=operation_id,
name=name,
description="Markdown-specific operation delegated to markitect-tool.",
input_spec=("markdown_asset",),
output_spec=("derived_asset:text/markdown",),
required_permissions=("asset.retrieve", "asset.create"),
supported_asset_types=("document", "markdown", "markdown_proxy"),
adapter_ref="markitect-tool",
metadata={"boundary": "adapter-backed; do not reimplement markdown syntax in engine"},
)
)
registry.register(
TransformationOperation(
operation_id="generate_report",
name="Generate Report",
description="Generate a report from source assets through a report adapter.",
input_spec=("knowledge_asset",),
output_spec=("derived_asset",),
required_permissions=("asset.retrieve", "asset.create"),
adapter_ref="report-adapter",
)
)
return registry
def _structured_view_handler(context: TransformationExecutionContext) -> TransformationOutput:
source_payload = []
for asset in context.source_assets:
source_payload.append(
{
"asset_id": asset.id,
"title": asset.title,
"classification": asset.classification.to_dict(),
"lifecycle": asset.lifecycle.value,
"current_version_id": asset.current_version_id,
"representations": [
representation.to_dict()
for representation in context.source_representations.get(asset.id, ())
],
"source_refs": [source_ref.to_dict() for source_ref in asset.source_refs],
}
)
content = json.dumps(
{
"operation_id": context.operation.operation_id,
"parameters": dict(context.request.parameters),
"source_assets": source_payload,
},
sort_keys=True,
ensure_ascii=False,
)
return TransformationOutput(
content=content,
media_type="application/json",
title=context.request.output_title or "Structured View",
metadata={"source_count": len(context.source_assets)},
adapter_provenance={"operation": "structured_view", "adapter": "kontextual-engine"},
)
def _capability_diagnostics(
operation: TransformationOperation,
source_assets: tuple[KnowledgeAsset, ...],
request: TransformationRequest,
) -> list[Diagnostic]:
diagnostics: list[Diagnostic] = []
for asset in source_assets:
if not operation.supports_asset_type(asset.classification.asset_type):
diagnostics.append(
Diagnostic(
severity="error",
code="transformation.asset_type_unsupported",
message="Transformation operation does not support source asset type",
details={
"operation_id": operation.operation_id,
"asset_id": asset.id,
"asset_type": asset.classification.asset_type,
"supported_asset_types": list(operation.supported_asset_types),
},
)
)
required_parameters = operation.parameter_schema.get("required", ())
for key in required_parameters:
if key not in request.parameters:
diagnostics.append(
Diagnostic(
severity="error",
code="transformation.parameter_missing",
message="Transformation operation requires a missing parameter",
details={"operation_id": operation.operation_id, "parameter": key},
)
)
return diagnostics
def _highest_sensitivity(source_assets: tuple[KnowledgeAsset, ...]) -> Sensitivity:
if not source_assets:
return Sensitivity.INTERNAL
order = {
Sensitivity.PUBLIC: 0,
Sensitivity.INTERNAL: 1,
Sensitivity.CONFIDENTIAL: 2,
Sensitivity.RESTRICTED: 3,
}
return max((asset.classification.sensitivity for asset in source_assets), key=lambda item: order[item])
def _permission_diagnostic(decision: PolicyDecision) -> Diagnostic:
return Diagnostic(
severity="error",
code="transformation.permission_denied",
message="Transformation operation denied by policy",
details={"policy_decision": decision.to_dict()},
)
def _diagnostic_dict(diagnostic: Diagnostic) -> dict[str, Any]:
return diagnostic.to_dict()