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markitect-tool/workplans/MKTT-WP-0013-internal-extension-framework.md

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id, type, title, domain, status, owner, topic_slug, planning_priority, planning_order, depends_on_workplans, related_workplans, created, updated, state_hub_workstream_id
id type title domain status owner topic_slug planning_priority planning_order depends_on_workplans related_workplans created updated state_hub_workstream_id
MKTT-WP-0013 workplan Internal Extension Framework and Canonical Processing Model markitect todo markitect-tool markitect P1 65
MKTT-WP-0003
MKTT-WP-0004
MKTT-WP-0006
MKTT-WP-0007
MKTT-WP-0010
MKTT-WP-0005
MKTT-WP-0009
MKTT-WP-0011
MKTT-WP-0012
2026-05-04 2026-05-04 5eea103f-f584-4360-b7e3-c5b09a4814bd

MKTT-WP-0013: Internal Extension Framework and Canonical Processing Model

Purpose

Create an internal extension framework that lets optional Markitect features register well-contained implementations, descriptors, callbacks, diagnostics, capabilities, and CLI/query integration points without repeatedly expanding central modules.

This workplan is about internal extensibility and framework shape. It is distinct from MKTT-WP-0011, which organizes business-facing dataflow pipelines.

Background

Recent implementation work added valuable optional functionality:

  • processor registry and deterministic fenced-block processors
  • backend manifests and local SQLite backend
  • selector and optional JSONPath query engines
  • FTS search over indexed sections and blocks
  • content references, literate workflows, explode/implode, and content classes

The functionality is working, but extension pressure is visible. Optional features still tend to require edits in central files such as CLI wiring, query exports, backend exports, and shared command dispatch. That is acceptable early in a small toolkit, but it becomes a maintenance liability if Markitect is meant to grow into a research lab for sophisticated Markdown/knowledge systems.

The target architecture should preserve the current slim core while making extensions feel first-class:

specification file + implementation module + registration descriptor
  -> extension registry
  -> canonical processing request/context/result
  -> callbacks, diagnostics, provenance, capabilities
  -> CLI/API/query/backend integration

Decision

Yes, restructure, but do it deliberately:

  1. Add characterization tests for the current behaviors before refactoring.
  2. Define a canonical processing model that extensions can share.
  3. Introduce extension descriptors and registries with minimal central wiring.
  4. Migrate one vertical slice at a time.
  5. Keep compatibility aliases and existing CLI commands stable.

Avoid a plugin system that is more elaborate than the project needs. The first version should support internal extension isolation and later package-level discovery without forcing dynamic loading or external dependency installation.

P13.1 - Architecture note and extension taxonomy

id: MKTT-WP-0013-T001
status: todo
priority: high
state_hub_task_id: "ba106001-c953-435a-8012-0dd83533d309"

Define the internal extension taxonomy:

  • query engines
  • processors
  • backends and index stores
  • references and content-unit providers
  • validators and contract checks
  • templates/generation adapters
  • CLI command groups
  • future render/export adapters
  • future document functions

Output: architecture note explaining extension boundaries, lifecycle, registration semantics, and relationship to MKTT-WP-0011.

P13.2 - Add characterization tests before refactor

id: MKTT-WP-0013-T002
status: todo
priority: high
state_hub_task_id: "a270cb7a-4dbf-4562-b0ab-d5dda5124086"

Lock down current behavior before moving code behind registries:

  • selector query and extraction
  • optional JSONPath diagnostics
  • processor registry behavior
  • backend manifest registry
  • local SQLite snapshot/index/search behavior
  • content reference resolution
  • key CLI commands and output envelopes
  • provenance and diagnostics shapes

Output: focused characterization tests that can fail loudly if refactoring changes public behavior.

P13.3 - Define canonical processing model

id: MKTT-WP-0013-T003
status: todo
priority: high
state_hub_task_id: "8c88b9a7-1e8d-401c-ad09-8b5a19ccba14"

Create shared framework types for extension execution:

  • ProcessingRequest
  • ProcessingContext
  • ProcessingResult
  • ProcessingDiagnostic
  • ProcessingCapability
  • ProcessingProvenance
  • optional ProcessingTrace

The model should support deterministic, assisted, external, and read-only operations without making every extension depend on every subsystem.

Output: framework module, tests, and migration guide for current subsystems.

P13.4 - Implement extension descriptors and registries

id: MKTT-WP-0013-T004
status: todo
priority: high
state_hub_task_id: "3fb2fe81-9819-4679-99d0-ad60ac9e8277"

Define descriptor objects for extensions:

  • stable id
  • kind
  • version
  • implementation reference
  • capabilities
  • optional dependencies
  • safety/policy flags
  • input and output contracts
  • CLI/API affordances
  • docs/examples links

Implement registries that can be assembled from in-package extension modules and, later, package entry points.

Output: descriptor schema, registry API, duplicate/missing dependency diagnostics, and tests.

P13.5 - Add callback hooks and execution lifecycle

id: MKTT-WP-0013-T005
status: todo
priority: medium
state_hub_task_id: "be8f2056-f413-44f9-be9c-6046c34e307e"

Add lifecycle callbacks for:

  • before execution
  • after success
  • after diagnostic failure
  • provenance capture
  • cache key calculation
  • capability/policy checks
  • trace/event emission

Callbacks must be explicit and deterministic by default. They should not become hidden global behavior.

Output: callback model and tests with fake extensions.

P13.6 - Refactor query engines behind registry

id: MKTT-WP-0013-T006
status: todo
priority: high
state_hub_task_id: "0226c1d1-f583-43ad-8e20-f75f9790e17d"

Move selector and JSONPath engines behind a query-engine registry while preserving query_document, extract_document, mkt query, and mkt extract compatibility.

Output: registered selector/jsonpath engines, compatibility shims, and tests.

P13.7 - Refactor processors and local backend as registered extensions

id: MKTT-WP-0013-T007
status: todo
priority: medium
state_hub_task_id: "a966dcbb-3ae8-47bf-85c8-4ba6ddcf7a31"

Adapt existing processor and backend infrastructure to expose descriptors and registry entries without changing their external behavior.

Focus areas:

  • deterministic fenced processors
  • local SQLite index backend
  • backend manifests
  • FTS search
  • snapshot refresh planning

Output: extension-backed processor/backend registration and regression tests.

P13.8 - Refactor CLI composition to reduce central wiring

id: MKTT-WP-0013-T008
status: todo
priority: medium
state_hub_task_id: "3e88ca62-8dba-4632-b5d0-29827d102322"

Reduce direct growth pressure in cli/main.py by allowing extension modules to register command groups or command specs through a small, testable integration point.

Output: CLI extension hook, migrated command group examples, and unchanged public CLI behavior.

P13.9 - Document extension authoring conventions

id: MKTT-WP-0013-T009
status: todo
priority: medium
state_hub_task_id: "848e2a5e-c32b-4a94-906b-dc6aced4c71b"

Document how a new internal extension should be structured:

  • specification file
  • implementation module
  • registration descriptor
  • tests
  • docs/examples
  • diagnostics and provenance expectations
  • optional dependency handling
  • policy/capability declarations

Output: extension authoring guide and one small template/example extension.

Exit Criteria

  • Existing behavior is covered by characterization tests before refactoring.
  • Optional features can live in well-contained modules with descriptors.
  • Central CLI/query/backend files stop being the primary integration surface for every new feature.
  • The canonical processing model provides shared context/result/diagnostic/ provenance semantics without overfitting to pipelines.
  • The framework is clearly distinct from business-facing workflow orchestration.
  • Existing public commands and library APIs remain compatible or have explicit compatibility shims.