declarative Markdown workflow layer

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2026-05-04 12:35:59 +02:00
parent 33fa602fe5
commit 0bc63aab9f
19 changed files with 1854 additions and 11 deletions

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# Markdown Workflows
Markitect workflows provide declarative orchestration for Markdown-centered
document pipelines.
Use them when you want to:
- collect Markdown files, globs, or directories
- extract frontmatter, sections, blocks, metrics, or selector results
- bind named data products into later steps
- run deterministic template/compose/transform/include steps
- define optional assisted-generation boundaries without requiring a provider
- write one or more Markdown outputs with provenance and diagnostics
The workflow definition standard is documented in
`docs/workflow-definition-standard.md`.
## Commands
Inspect a workflow definition:
```text
mkt workflow inspect examples/workflows/adr-release-notes.workflow.md
```
Plan a run without writing outputs:
```text
mkt workflow plan examples/workflows/adr-release-notes.workflow.md
```
Run and write outputs:
```text
mkt workflow run examples/workflows/adr-release-notes.workflow.md --output-dir build
```
JSON/YAML output is available for agents:
```text
mkt workflow run workflow.md --format json
```
## Execution Model
The first runner is deterministic and local-first:
1. Load a YAML or Markdown-fenced workflow definition.
2. Validate required ids/kinds and duplicate step ids.
3. Collect inputs from Markdown files, directories, globs, or literal values.
4. Resolve `${...}` bindings.
5. Execute steps in dependency order.
6. Render outputs and enforce output path safety.
7. Return diagnostics, provenance, and trace events.
Assisted steps are explicit boundaries. Without an injected generation hook:
- optional assisted steps are skipped with a warning
- required assisted steps fail
This makes workflows useful without provider dependencies.
## Supported Step Kinds
| Kind | Result |
| --- | --- |
| `shape` | Structured data object. |
| `extract` | `items`, `count`, and joined `text`. |
| `query` | query `matches` and `count`. |
| `template` | rendered `markdown`, variables, missing variables, completion flag. |
| `compose` | composed `markdown` and sources. |
| `transform` | transformed `markdown`, operations, provenance. |
| `include` | include-resolved `markdown`, included paths, provenance. |
| `contract_stub` | generated contract stub Markdown. |
| `contract_check` | contract diagnostics and metrics. |
| `assisted` | generated Markdown if a hook is supplied, otherwise skipped/diagnostic. |
## Data Bindings
Bindings use `${...}`:
```yaml
data:
decisions: ${sources.adrs.extracts.decisions}
summary: ${steps.render.markdown}
```
If the full string is one expression, the native type is preserved. If the
expression appears inside a longer string, it is rendered as text.
List projection is supported:
```yaml
paths: ${sources.adrs.items.path}
```
## Relationship To Extensions
The workflow engine is registered as the built-in extension
`workflow.markdown-dataflow`. It uses the canonical architecture for
diagnostics, provenance, trace events, capabilities, and CLI affordance
metadata, but workflow files remain business-facing orchestration artifacts.

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# Markitect Workflow Definition Standard
## Purpose
Markitect workflows describe repeatable Markdown-centered dataflow:
```text
Markdown inputs -> extracted data products -> deterministic/assisted steps
-> artifacts and Markdown outputs
```
The workflow standard is business-facing orchestration. It uses the internal
extension framework for execution semantics, diagnostics, provenance,
capabilities, and future policy gates, but it is not itself the extension
framework.
## File Format
A workflow can be either:
- a YAML file
- a Markdown file with a fenced YAML block tagged `workflow`,
`markitect-workflow`, or `mkt-workflow`
Example:
````markdown
# Release Notes Workflow
```yaml workflow
metadata:
id: release-notes
title: Release Notes
intent:
summary: Build release notes from accepted ADR decisions.
inputs:
adrs:
glob: docs/adr/*.md
extract:
decisions:
selector: sections[heading=Decision]
outputs:
release_notes:
path: out/release-notes.md
content: ${steps.render.markdown}
steps:
render:
kind: template
template: templates/release-notes.md
data:
decisions: ${sources.adrs.extracts.decisions}
```
````
## Top-Level Sections
| Section | Required | Purpose |
| --- | --- | --- |
| `metadata` | recommended | Stable id, title, owner, version, tags, timestamps. |
| `intent` | recommended | Why the workflow exists and what success means. |
| `inputs` | yes | Markdown files, directories, globs, literal values, or future index references. |
| `steps` | yes for processing | Deterministic or assisted operations over bound data. |
| `outputs` | optional | Files/artifacts produced from step or source data. |
| `dependencies` | optional | Workflow-level dependencies on files, workplans, contracts, or other workflows. |
| `conditions` | optional | Preconditions or skip rules. First version records these for inspection. |
| `artifacts` | optional | Named non-output products such as manifests, traces, or reports. |
| `permissions` | optional | Declared filesystem/network/provider/capability requirements. |
| `resources` | optional | CPU, memory, token, model, or storage expectations. |
| `timeouts` | optional | Workflow and step timeout budgets. First version records these. |
| `retry_policies` | optional | Retry rules by step kind or id. First version records these. |
| `escalation_rules` | optional | When human approval or operator attention is needed. |
| `observability` | optional | Events, trace detail, metrics, and audit expectations. |
| `responsibilities` | optional | Human/agent/system boundaries for review, approval, and execution. |
Unknown top-level sections are preserved as `extensions` in the loaded model so
the standard can evolve without immediately breaking older runners.
## Metadata
```yaml
metadata:
id: release-notes
title: Release Notes
version: "1"
owner: documentation
tags: [adr, release]
```
`metadata.id` should be stable. It is used in diagnostics and provenance when
available.
## Intent
```yaml
intent:
summary: Build release notes from accepted decisions.
success_criteria:
- One output file is generated.
- Every accepted ADR contributes its decision section.
```
Intent is descriptive in the first implementation. Later policy and assessment
layers may use it for review or LLM-assisted checks.
## Inputs
Inputs are named source collections or literal values.
```yaml
inputs:
adrs:
glob: docs/adr/*.md
recursive: false
where:
frontmatter.status: accepted
extract:
decisions:
selector: sections[heading=Decision]
status:
selector: frontmatter.status
static_context:
value:
product: Markitect
```
Supported source fields:
- `file`: one Markdown file
- `path`: alias for `file`
- `files`: list of Markdown files
- `glob`: glob pattern relative to the workflow directory
- `directory`: directory of Markdown files
- `recursive`: recurse when using `directory`
- `selector`: selector to collect matches
- `extract`: named selector map
- `metrics`: include document metrics
- `frontmatter`: include frontmatter
- `value`: literal structured value, no file parsing
Each Markdown input produces a collection:
```yaml
items:
- path: docs/adr/001.md
frontmatter: {...}
metrics: {...}
extracts:
decisions:
- "## Decision\n\n..."
extracts:
decisions:
- "## Decision\n\n..."
```
## Steps
Steps are named operations. `steps` may be either a mapping or a list with `id`.
```yaml
steps:
render:
kind: template
template: templates/release-notes.md
data:
decisions: ${sources.adrs.extracts.decisions}
```
Common fields:
- `kind`: step kind
- `depends_on`: other step ids
- `when`: condition expression, reserved for future execution gating
- `optional`: do not fail the whole workflow when this step is skipped or blocked
- `permissions`: step-level permissions
- `timeout`: step-level timeout declaration
- `retry`: step-level retry policy reference or inline rule
- `responsibility`: `human`, `agent`, `system`, or `mixed`
First implementation step kinds:
| Kind | Purpose |
| --- | --- |
| `shape` | Resolve data bindings into a structured object. |
| `extract` | Extract text from a source collection or document. |
| `query` | Return query match envelopes from a source collection or document. |
| `template` | Render a deterministic Markdown template. |
| `compose` | Join Markdown strings or files into one Markdown document. |
| `transform` | Apply deterministic Markdown transforms. |
| `include` | Resolve include markers in Markdown. |
| `contract_stub` | Generate a Markdown stub from a contract. |
| `contract_check` | Check a Markdown document against a contract. |
| `assisted` | Provider-neutral assisted step boundary, optional by default. |
## Data Bindings
Workflow expressions use `${...}` references:
```yaml
data:
decisions: ${sources.adrs.extracts.decisions}
summary: ${steps.render.markdown}
```
If a string is exactly one expression, the resolved value keeps its native type.
If an expression appears inside a longer string, it is rendered as text.
Supported roots:
- `metadata`
- `intent`
- `sources`
- `steps`
- `artifacts`
- `workflow`
Path behavior:
- dictionary keys use dot notation
- numeric list indexes are supported
- applying a field to a list maps that field over every dictionary item
## Outputs
```yaml
outputs:
release_notes:
path: out/release-notes.md
content: ${steps.render.markdown}
```
Supported output fields:
- `path`: output path relative to `--output-dir` or workflow directory
- `content`: Markdown/string/structured value to write
- `template`: optional template path
- `data`: data for template rendering
- `artifact`: optional artifact name
Output paths must stay within the output root.
## Assisted Steps
Assisted steps define the boundary; they do not require a provider dependency:
```yaml
review:
kind: assisted
optional: true
prompt: prompts/review.md
input: ${steps.render.markdown}
data:
rubric: concise release note review
```
When no assisted adapter is supplied:
- optional assisted steps are skipped with a warning diagnostic
- required assisted steps fail with an error diagnostic
This keeps workflows runnable in deterministic environments.
## Permissions And Responsibilities
Permissions and responsibilities are declarative in the first runner and become
policy inputs for later access-control work.
```yaml
permissions:
filesystem:
read: [docs, templates]
write: [out]
network: false
assisted_generation: false
responsibilities:
human:
approves_outputs: true
agent:
may_run_deterministic_steps: true
system:
enforces_path_safety: true
```
## Observability
```yaml
observability:
events:
- workflow.started
- step.completed
- output.written
trace: summary
```
Workflow runs return trace events and diagnostics in JSON/YAML output. Future
backends can persist these events.
## Design Rules
- Keep deterministic execution useful without providers.
- Keep all outputs explainable through provenance and diagnostics.
- Preserve unknown metadata rather than rejecting reasonable future extensions.
- Make assisted, external, networked, or sensitive steps explicit.
- Keep internal extension registration separate from business workflow
orchestration.

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@@ -36,7 +36,7 @@ and descriptions mirror the operational view.
| `MKTT-WP-0007` | complete | done | `MKTT-WP-0006` | Advanced query and local index backend is complete: AST inspection, optional JSONPath, SQLite snapshots/metadata, FTS5 search, incremental refresh, and local index CLI. |
| `MKTT-WP-0013` | complete | done | `MKTT-WP-0003`, `MKTT-WP-0004`, `MKTT-WP-0006`, `MKTT-WP-0007`, `MKTT-WP-0010` | Internal extension framework is complete: characterization tests, canonical processing model, descriptors, registries, lifecycle callbacks, query-engine registry, built-in extension catalog, CLI command specs, and authoring guide. |
| `MKTT-WP-0005` | P2 | todo | `MKTT-WP-0003`, `MKTT-WP-0004` | Pick up when generation/form/context or semantic assessment pressure appears. |
| `MKTT-WP-0011` | P2 | todo | `MKTT-WP-0003`; task-level triggers: `MKTT-WP-0010-T001`, `MKTT-WP-0010-T005` | Declarative Markdown dataflow workflows: source extraction, deterministic/assisted processing, and multi-output generation. |
| `MKTT-WP-0011` | complete | done | `MKTT-WP-0003`; task-level triggers: `MKTT-WP-0010-T001`, `MKTT-WP-0010-T005` | Markdown dataflow workflow layer is complete: workflow standard, source collectors, binding model, deterministic steps, assisted boundary, safe outputs, CLI, docs, and examples. |
| `MKTT-WP-0009` | P2 | todo | `MKTT-WP-0006` | Establish access-control gateway before security-sensitive cache/context use. |
| `MKTT-WP-0012` | P3 | todo | `MKTT-WP-0004`, `MKTT-WP-0010`, `MKTT-WP-0011` | Future Quarkdown-inspired document function layer: reusable Markdown-native function calls over processors, references, contracts, workflows, and later assisted steps. |
| `MKTT-WP-0008` | P3 | todo | `MKTT-WP-0006`, `MKTT-WP-0007`, `MKTT-WP-0009` | Agent working-memory cache after backend and policy floor are available. |

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# ADR Release Notes Workflow
```yaml workflow
metadata:
id: adr-release-notes
title: ADR Release Notes
version: "1"
owner: documentation
intent:
summary: Build release notes from accepted ADR decisions.
inputs:
adrs:
glob: adrs/*.md
where:
frontmatter.status: accepted
extract:
decisions:
selector: sections[heading=Decision]
statuses:
selector: frontmatter.status
steps:
render:
kind: template
template: templates/release-notes.md
data:
title: ADR Release Notes
decisions: ${sources.adrs.extracts.decisions}
outputs:
release_notes:
path: out/release-notes.md
content: ${steps.render.markdown}
permissions:
filesystem:
read: [adrs, templates]
write: [out]
network: false
resources:
cpu: local
timeouts:
workflow: 30s
retry_policies:
default:
max_attempts: 1
escalation_rules:
output_review:
when: before_publish
responsible: human
observability:
events: [workflow.started, workflow.step.completed, workflow.output.ready]
responsibilities:
agent:
may_run_deterministic_steps: true
human:
approves_publication: true
```

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---
status: accepted
---
# Record Contract Framework
## Context
Document generation needs clear semantic contracts.
## Decision
Use Markdown-native contracts with deterministic assertions before optional
assisted assessments.

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@@ -0,0 +1,13 @@
---
status: accepted
---
# Record Cache Backend
## Context
Repeated query and context workflows benefit from cached parsed structure.
## Decision
Use an optional local SQLite backend for snapshots, metadata, JSON, and FTS.

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# Assisted Review Workflow
```yaml workflow
metadata:
id: assisted-review-boundary
intent:
summary: Show an optional assisted-generation boundary.
steps:
review:
kind: assisted
optional: true
prompt_text: Review the generated Markdown for clarity.
data:
rubric: concise
outputs:
review:
path: out/review.md
content: ${steps.review.skipped}
permissions:
assisted_generation: false
responsibilities:
human:
approves_assisted_use: true
```

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# Source
```python
def example():
return "markitect"
```

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# Source Snippets Workflow
```yaml workflow
metadata:
id: source-snippets
title: Source Snippets
intent:
summary: Extract code fences from Markdown documents into a generated note.
inputs:
docs:
file: snippets/source.md
extract:
code:
selector: blocks[type=code]
steps:
render:
kind: template
template: templates/snippets.md
data:
snippets: ${sources.docs.extracts.code}
outputs:
snippets:
path: out/snippets.md
content: ${steps.render.markdown}
permissions:
filesystem:
read: [snippets, templates]
write: [out]
responsibilities:
agent:
may_run_deterministic_steps: true
```

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@@ -0,0 +1,3 @@
# {{title}}
{{decisions}}

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@@ -0,0 +1,3 @@
# Extracted Snippets
{{snippets}}

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@@ -156,6 +156,15 @@ from markitect_tool.template import (
analyze_template,
render_template,
)
from markitect_tool.workflow import (
WorkflowError,
WorkflowOutputRecord,
WorkflowPlan,
WorkflowRunResult,
WorkflowRunner,
load_workflow_file,
resolve_workflow_bindings,
)
__all__ = [
"ContentBlock",
@@ -287,4 +296,11 @@ __all__ = [
"TemplateRenderResult",
"analyze_template",
"render_template",
"WorkflowError",
"WorkflowOutputRecord",
"WorkflowPlan",
"WorkflowRunResult",
"WorkflowRunner",
"load_workflow_file",
"resolve_workflow_bindings",
]

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@@ -72,6 +72,7 @@ from markitect_tool.template import (
analyze_template,
render_template,
)
from markitect_tool.workflow import WorkflowError, WorkflowRunner, load_workflow_file
@click.group()
@@ -1124,6 +1125,90 @@ def search(
_emit_search_results(data, output_format)
@main.group()
def workflow() -> None:
"""Inspect, plan, and run declarative Markdown workflows."""
@workflow.command("inspect")
@click.argument("workflow_file", type=click.Path(exists=True, dir_okay=False, path_type=Path))
@click.option(
"--format",
"output_format",
type=click.Choice(["json", "yaml", "text"], case_sensitive=False),
default="text",
show_default=True,
)
def workflow_inspect(workflow_file: Path, output_format: str) -> None:
"""Inspect a workflow definition without executing steps."""
try:
plan = load_workflow_file(workflow_file)
result = WorkflowRunner(plan).inspect()
except WorkflowError as exc:
raise click.ClickException(str(exc)) from exc
_emit_workflow_result(result.to_dict() | {"workflow": plan.to_dict()}, output_format)
raise click.exceptions.Exit(0 if result.valid else 1)
@workflow.command("plan")
@click.argument("workflow_file", type=click.Path(exists=True, dir_okay=False, path_type=Path))
@click.option(
"--output-dir",
type=click.Path(file_okay=False, path_type=Path),
help="Output root for path-safety checks. No files are written in plan mode.",
)
@click.option(
"--format",
"output_format",
type=click.Choice(["json", "yaml", "text"], case_sensitive=False),
default="text",
show_default=True,
)
def workflow_plan(workflow_file: Path, output_dir: Path | None, output_format: str) -> None:
"""Run a workflow in dry-run mode and report planned outputs."""
try:
plan = load_workflow_file(workflow_file)
result = WorkflowRunner(plan, output_dir=output_dir).run(dry_run=True)
except WorkflowError as exc:
raise click.ClickException(str(exc)) from exc
_emit_workflow_result(result.to_dict(), output_format)
raise click.exceptions.Exit(0 if result.valid else 1)
@workflow.command("run")
@click.argument("workflow_file", type=click.Path(exists=True, dir_okay=False, path_type=Path))
@click.option(
"--output-dir",
type=click.Path(file_okay=False, path_type=Path),
help="Output root for workflow outputs. Defaults to the workflow directory.",
)
@click.option("--dry-run", is_flag=True, help="Execute without writing output files.")
@click.option(
"--format",
"output_format",
type=click.Choice(["json", "yaml", "text"], case_sensitive=False),
default="text",
show_default=True,
)
def workflow_run(
workflow_file: Path,
output_dir: Path | None,
dry_run: bool,
output_format: str,
) -> None:
"""Run a deterministic Markdown workflow."""
try:
plan = load_workflow_file(workflow_file)
result = WorkflowRunner(plan, output_dir=output_dir).run(dry_run=dry_run)
except WorkflowError as exc:
raise click.ClickException(str(exc)) from exc
_emit_workflow_result(result.to_dict(), output_format)
raise click.exceptions.Exit(0 if result.valid else 1)
@main.group()
def template() -> None:
"""Render and inspect deterministic Markdown templates."""
@@ -1560,6 +1645,32 @@ def _emit_search_results(data: dict, output_format: str) -> None:
click.echo(f" {preview[:160]}")
def _emit_workflow_result(data: dict, output_format: str) -> None:
if output_format == "json":
click.echo(json.dumps(data, indent=2, ensure_ascii=False))
elif output_format == "yaml":
click.echo(yaml.safe_dump(data, sort_keys=False))
else:
click.echo("valid" if data.get("valid", True) else "invalid")
click.echo(f"workflow: {data.get('workflow_id') or data.get('workflow', {}).get('id', '<unknown>')}")
if data.get("sources"):
click.echo(f"sources: {len(data['sources'])}")
for source_id, source_data in data["sources"].items():
click.echo(f"- {source_id}: {source_data.get('count', 1)}")
if data.get("steps"):
click.echo(f"steps: {len(data['steps'])}")
for step_id, step_data in data["steps"].items():
click.echo(f"- {step_id}: {step_data.get('kind', '<unknown>')}")
if data.get("outputs"):
click.echo(f"outputs: {len(data['outputs'])}")
for output in data["outputs"]:
status = "written" if output.get("written") else "planned"
path = output.get("path") or "<memory>"
click.echo(f"- {output['id']}: {status} {path}")
for diagnostic in data.get("diagnostics", []):
click.echo(f"! [{diagnostic['severity']}] {diagnostic['code']}: {diagnostic['message']}")
def _emit_reference_result(data: dict, output_format: str) -> None:
if output_format == "json":
click.echo(json.dumps(data, indent=2, ensure_ascii=False))

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@@ -11,7 +11,10 @@ def builtin_extension_registry() -> ExtensionRegistry:
"""Return descriptors for built-in Markitect extensions."""
registry = default_query_engine_registry().extension_registry()
for descriptor in _processor_descriptors() + [_local_sqlite_backend_descriptor()]:
for descriptor in _processor_descriptors() + [
_local_sqlite_backend_descriptor(),
_workflow_engine_descriptor(),
]:
registry.register(descriptor)
return registry
@@ -90,3 +93,30 @@ def _local_sqlite_backend_descriptor() -> ExtensionDescriptor:
docs=["docs/local-index-backend.md", "docs/backend-fabric.md"],
examples=["examples/backends/local-sqlite-backend.md"],
)
def _workflow_engine_descriptor() -> ExtensionDescriptor:
return ExtensionDescriptor(
id="workflow.markdown-dataflow",
kind="workflow-engine",
summary="Declarative Markdown dataflow workflow engine.",
capabilities=[
ProcessingCapability(id="workflow", kind="execute"),
ProcessingCapability(id="markdown", kind="read"),
ProcessingCapability(id="templates", kind="execute"),
ProcessingCapability(id="provenance", kind="emit"),
],
safety={
"reads_files": True,
"writes_output_files": True,
"network": False,
"assisted_generation": "adapter-only",
},
input_contract="Markdown/YAML workflow definition",
output_contract="WorkflowRunResult",
diagnostics_namespace="workflow",
provenance_prefix="workflow",
cli={"commands": ["mkt workflow inspect", "mkt workflow plan", "mkt workflow run"]},
docs=["docs/workflow-definition-standard.md"],
examples=["examples/workflows/adr-release-notes.workflow.md"],
)

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@@ -0,0 +1,21 @@
"""Declarative Markdown dataflow workflows."""
from markitect_tool.workflow.engine import (
WorkflowError,
WorkflowOutputRecord,
WorkflowPlan,
WorkflowRunResult,
WorkflowRunner,
load_workflow_file,
resolve_workflow_bindings,
)
__all__ = [
"WorkflowError",
"WorkflowOutputRecord",
"WorkflowPlan",
"WorkflowRunResult",
"WorkflowRunner",
"load_workflow_file",
"resolve_workflow_bindings",
]

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@@ -0,0 +1,827 @@
"""Workflow definition loading and deterministic execution."""
from __future__ import annotations
import glob
import re
from dataclasses import asdict, dataclass, field
from pathlib import Path
from typing import Any
import yaml
from markitect_tool.cache import scan_markdown_files
from markitect_tool.contract import check_markdown_file, collect_metrics, load_contract_file
from markitect_tool.core import Document, parse_markdown_file
from markitect_tool.diagnostics import Diagnostic, SourceLocation, has_error
from markitect_tool.extension import ProcessingProvenance, ProcessingTrace
from markitect_tool.generation import (
GenerationHook,
GenerationHookRequest,
generate_stub_from_contract,
)
from markitect_tool.ops import compose_files, resolve_includes, transform_markdown
from markitect_tool.query import (
extract_document_with_engine,
query_document_with_engine,
)
from markitect_tool.template import MissingTemplateVariable, TemplateError, render_template
WORKFLOW_FENCE_TAGS = {"workflow", "markitect-workflow", "mkt-workflow"}
KNOWN_TOP_LEVEL = {
"metadata",
"intent",
"inputs",
"outputs",
"steps",
"dependencies",
"conditions",
"artifacts",
"permissions",
"resources",
"timeouts",
"retry_policies",
"escalation_rules",
"observability",
"responsibilities",
}
_EXPRESSION_RE = re.compile(r"\$\{(?P<path>[^}]+)\}")
class WorkflowError(ValueError):
"""Raised when a workflow definition cannot be loaded or executed."""
@dataclass(frozen=True)
class WorkflowPlan:
"""Loaded declarative workflow definition."""
metadata: dict[str, Any] = field(default_factory=dict)
intent: dict[str, Any] = field(default_factory=dict)
inputs: dict[str, dict[str, Any]] = field(default_factory=dict)
steps: list[dict[str, Any]] = field(default_factory=list)
outputs: dict[str, dict[str, Any]] = field(default_factory=dict)
dependencies: list[Any] = field(default_factory=list)
conditions: dict[str, Any] = field(default_factory=dict)
artifacts: dict[str, Any] = field(default_factory=dict)
permissions: dict[str, Any] = field(default_factory=dict)
resources: dict[str, Any] = field(default_factory=dict)
timeouts: dict[str, Any] = field(default_factory=dict)
retry_policies: dict[str, Any] = field(default_factory=dict)
escalation_rules: dict[str, Any] = field(default_factory=dict)
observability: dict[str, Any] = field(default_factory=dict)
responsibilities: dict[str, Any] = field(default_factory=dict)
extensions: dict[str, Any] = field(default_factory=dict)
source_path: str | None = None
@property
def id(self) -> str:
return str(self.metadata.get("id") or self.metadata.get("name") or "workflow")
def to_dict(self) -> dict[str, Any]:
data = asdict(self)
return {key: value for key, value in data.items() if value not in (None, [], {})}
@dataclass(frozen=True)
class WorkflowOutputRecord:
"""One output considered or written by a workflow run."""
id: str
path: str | None
content: str
written: bool = False
artifact: str | None = None
def to_dict(self) -> dict[str, Any]:
return {key: value for key, value in asdict(self).items() if value not in (None, "")}
@dataclass(frozen=True)
class WorkflowRunResult:
"""Result envelope for workflow inspect/plan/run operations."""
workflow_id: str
plan_path: str | None
dry_run: bool
sources: dict[str, Any] = field(default_factory=dict)
steps: dict[str, Any] = field(default_factory=dict)
outputs: list[WorkflowOutputRecord] = field(default_factory=list)
diagnostics: list[Diagnostic] = field(default_factory=list)
provenance: list[ProcessingProvenance] = field(default_factory=list)
trace: list[ProcessingTrace] = field(default_factory=list)
@property
def valid(self) -> bool:
return not has_error(self.diagnostics)
def to_dict(self) -> dict[str, Any]:
data = {
"workflow_id": self.workflow_id,
"plan_path": self.plan_path,
"dry_run": self.dry_run,
"valid": self.valid,
"sources": self.sources,
"steps": self.steps,
"outputs": [output.to_dict() for output in self.outputs],
"diagnostics": [diagnostic.to_dict() for diagnostic in self.diagnostics],
"provenance": [event.to_dict() for event in self.provenance],
"trace": [event.to_dict() for event in self.trace],
}
return {key: value for key, value in data.items() if value not in (None, [], {})}
class WorkflowRunner:
"""Execute deterministic Markitect workflows."""
def __init__(
self,
plan: WorkflowPlan,
*,
base_dir: str | Path | None = None,
output_dir: str | Path | None = None,
assisted_hook: GenerationHook | None = None,
) -> None:
self.plan = plan
self.base_dir = Path(base_dir or Path(plan.source_path or ".").parent).resolve()
self.output_dir = Path(output_dir).resolve() if output_dir else self.base_dir
self.assisted_hook = assisted_hook
def inspect(self) -> WorkflowRunResult:
diagnostics = validate_workflow_plan(self.plan)
return WorkflowRunResult(
workflow_id=self.plan.id,
plan_path=self.plan.source_path,
dry_run=True,
diagnostics=diagnostics,
trace=[ProcessingTrace(event="workflow.inspected", metadata={"id": self.plan.id})],
)
def run(self, *, dry_run: bool = False) -> WorkflowRunResult:
diagnostics = validate_workflow_plan(self.plan)
trace = [ProcessingTrace(event="workflow.started", metadata={"id": self.plan.id})]
provenance: list[ProcessingProvenance] = []
sources: dict[str, Any] = {}
steps: dict[str, Any] = {}
outputs: list[WorkflowOutputRecord] = []
if has_error(diagnostics):
return WorkflowRunResult(
workflow_id=self.plan.id,
plan_path=self.plan.source_path,
dry_run=dry_run,
diagnostics=diagnostics,
trace=trace,
)
context = _base_context(self.plan, sources, steps)
for input_id, spec in self.plan.inputs.items():
try:
sources[input_id] = self._collect_input(input_id, spec)
trace.append(ProcessingTrace(event="workflow.input.collected", metadata={"id": input_id}))
except Exception as exc:
diagnostics.append(_diagnostic("workflow.input_failed", str(exc), details={"input": input_id}))
if has_error(diagnostics):
return WorkflowRunResult(self.plan.id, self.plan.source_path, dry_run, sources, steps, outputs, diagnostics, provenance, trace)
context = _base_context(self.plan, sources, steps)
for step in _ordered_steps(self.plan.steps, diagnostics):
step_id = str(step["id"])
try:
resolved_step = resolve_workflow_bindings(step, context)
step_result = self._run_step(resolved_step)
steps[step_id] = step_result
context = _base_context(self.plan, sources, steps)
trace.append(ProcessingTrace(event="workflow.step.completed", metadata={"id": step_id, "kind": step.get("kind")}))
provenance.append(
ProcessingProvenance(
operation=f"workflow.step.{step.get('kind', 'unknown')}",
source_path=self.plan.source_path,
metadata={"step_id": step_id},
)
)
except Exception as exc:
optional = bool(step.get("optional", False))
diagnostics.append(
_diagnostic(
"workflow.step_failed",
str(exc),
severity="warning" if optional else "error",
details={"step": step_id, "kind": step.get("kind"), "optional": optional},
)
)
if not optional:
break
if has_error(diagnostics):
return WorkflowRunResult(self.plan.id, self.plan.source_path, dry_run, sources, steps, outputs, diagnostics, provenance, trace)
context = _base_context(self.plan, sources, steps)
for output_id, spec in self.plan.outputs.items():
try:
output = self._render_output(output_id, spec, context, dry_run=dry_run)
outputs.append(output)
trace.append(ProcessingTrace(event="workflow.output.ready", metadata={"id": output_id, "written": output.written}))
provenance.append(
ProcessingProvenance(
operation="workflow.output",
source_path=self.plan.source_path,
dependencies=[output.path] if output.path else [],
metadata={"output_id": output_id, "written": output.written},
)
)
except Exception as exc:
diagnostics.append(_diagnostic("workflow.output_failed", str(exc), details={"output": output_id}))
trace.append(ProcessingTrace(event="workflow.completed", metadata={"id": self.plan.id, "valid": not has_error(diagnostics)}))
return WorkflowRunResult(
workflow_id=self.plan.id,
plan_path=self.plan.source_path,
dry_run=dry_run,
sources=sources,
steps=steps,
outputs=outputs,
diagnostics=diagnostics,
provenance=provenance,
trace=trace,
)
def _collect_input(self, input_id: str, spec: dict[str, Any]) -> Any:
if "value" in spec:
return {"id": input_id, "kind": "value", "value": spec["value"]}
paths = _input_paths(spec, self.base_dir)
selector = spec.get("selector")
extract_specs = _extract_specs(spec.get("extract"))
include_metrics = bool(spec.get("metrics", True))
include_frontmatter = bool(spec.get("frontmatter", True))
where = dict(spec.get("where") or {})
items: list[dict[str, Any]] = []
aggregate_extracts: dict[str, list[Any]] = {name: [] for name in extract_specs}
aggregate_matches: list[dict[str, Any]] = []
for path in paths:
document = parse_markdown_file(path)
if where and not _matches_where(document.to_dict(), where):
continue
item: dict[str, Any] = {
"path": _relative(path, self.base_dir),
"markdown": path.read_text(encoding="utf-8"),
"document": document.to_dict(),
}
if include_frontmatter:
item["frontmatter"] = document.frontmatter
if include_metrics:
item["metrics"] = collect_metrics(document).to_dict()
if selector:
matches = [match.to_dict() for match in query_document_with_engine(document, str(selector), engine=str(spec.get("engine", "selector")))]
item["matches"] = matches
aggregate_matches.extend(matches)
if extract_specs:
item_extracts: dict[str, list[str]] = {}
for name, extract_spec in extract_specs.items():
selected = extract_document_with_engine(
document,
str(extract_spec["selector"]),
engine=str(extract_spec.get("engine", spec.get("engine", "selector"))),
)
item_extracts[name] = selected
aggregate_extracts[name].extend(selected)
item["extracts"] = item_extracts
items.append(item)
return {
"id": input_id,
"kind": "markdown_collection",
"count": len(items),
"items": items,
"paths": [item["path"] for item in items],
"extracts": aggregate_extracts,
"matches": aggregate_matches,
}
def _run_step(self, step: dict[str, Any]) -> dict[str, Any]:
kind = str(step.get("kind", "")).strip()
if not kind:
raise WorkflowError("Workflow step requires `kind`")
if kind == "shape":
return {"kind": kind, "data": step.get("data", step.get("value", {}))}
if kind == "extract":
return self._step_extract(step)
if kind == "query":
return self._step_query(step)
if kind == "template":
return self._step_template(step)
if kind == "compose":
return self._step_compose(step)
if kind == "transform":
return self._step_transform(step)
if kind == "include":
return self._step_include(step)
if kind == "contract_stub":
return self._step_contract_stub(step)
if kind == "contract_check":
return self._step_contract_check(step)
if kind == "assisted":
return self._step_assisted(step)
raise WorkflowError(f"Unsupported workflow step kind `{kind}`")
def _step_extract(self, step: dict[str, Any]) -> dict[str, Any]:
selector = str(step.get("selector", ""))
if not selector:
raise WorkflowError("extract step requires `selector`")
values = _query_like_step(step, selector, query=False)
return {"kind": "extract", "items": values, "count": len(values), "text": "\n\n".join(values)}
def _step_query(self, step: dict[str, Any]) -> dict[str, Any]:
selector = str(step.get("selector", ""))
if not selector:
raise WorkflowError("query step requires `selector`")
matches = _query_like_step(step, selector, query=True)
return {"kind": "query", "matches": matches, "count": len(matches)}
def _step_template(self, step: dict[str, Any]) -> dict[str, Any]:
template_text = _template_text(step, self.base_dir)
try:
rendered = render_template(template_text, dict(step.get("data") or {}), strict=bool(step.get("strict", True)))
except MissingTemplateVariable as exc:
raise WorkflowError(str(exc)) from exc
except TemplateError as exc:
raise WorkflowError(str(exc)) from exc
return rendered.to_dict() | {"kind": "template"}
def _step_compose(self, step: dict[str, Any]) -> dict[str, Any]:
if step.get("files"):
result = compose_files(
[_safe_input_path(self.base_dir, value) for value in step["files"]],
title=step.get("title"),
heading_delta=int(step.get("heading_delta", 0)),
include_frontmatter=bool(step.get("include_frontmatter", False)),
separator=str(step.get("separator", "\n\n---\n\n")),
)
return result.to_dict() | {"kind": "compose"}
items = step.get("items", step.get("input", []))
if not isinstance(items, list):
items = [items]
separator = str(step.get("separator", "\n\n---\n\n"))
parts = [str(item).strip() for item in items if item is not None and str(item).strip()]
title = step.get("title")
if title:
parts.insert(0, f"# {str(title).strip()}")
return {"kind": "compose", "markdown": separator.join(parts).strip() + "\n", "sources": []}
def _step_transform(self, step: dict[str, Any]) -> dict[str, Any]:
markdown = _markdown_input(step, self.base_dir)
result = transform_markdown(
markdown,
strip_frontmatter=bool(step.get("strip_frontmatter", False)),
set_frontmatter=dict(step.get("set_frontmatter") or {}),
heading_delta=int(step.get("heading_delta", 0)),
extract_selector=step.get("extract_selector"),
source_path=step.get("source_path"),
)
return result.to_dict() | {"kind": "transform"}
def _step_include(self, step: dict[str, Any]) -> dict[str, Any]:
markdown = _markdown_input(step, self.base_dir)
result = resolve_includes(
markdown,
base_dir=_safe_dir(self.base_dir, step.get("base_dir", ".")),
current_path=step.get("current_path"),
max_depth=int(step.get("max_depth", 10)),
)
return result.to_dict() | {"kind": "include"}
def _step_contract_stub(self, step: dict[str, Any]) -> dict[str, Any]:
contract = load_contract_file(_safe_input_path(self.base_dir, step.get("contract")))
generated = generate_stub_from_contract(
contract,
data=dict(step.get("data") or {}),
include_optional=bool(step.get("include_optional", False)),
)
return generated.to_dict() | {"kind": "contract_stub"}
def _step_contract_check(self, step: dict[str, Any]) -> dict[str, Any]:
document_path = _safe_input_path(self.base_dir, step.get("document"))
contract_path = _safe_input_path(self.base_dir, step.get("contract"))
result = check_markdown_file(document_path, contract_path)
return result.to_dict() | {"kind": "contract_check"}
def _step_assisted(self, step: dict[str, Any]) -> dict[str, Any]:
optional = bool(step.get("optional", True))
if self.assisted_hook is None:
diagnostic = _diagnostic(
"workflow.assisted_unavailable",
"Assisted workflow step has no generation hook adapter.",
severity="warning" if optional else "error",
details={"step": step.get("id"), "optional": optional},
)
if optional:
return {"kind": "assisted", "skipped": True, "diagnostics": [diagnostic.to_dict()]}
raise WorkflowError(diagnostic.message)
prompt = str(step.get("prompt_text") or "")
if step.get("prompt"):
prompt = _safe_input_path(self.base_dir, step["prompt"]).read_text(encoding="utf-8")
request = GenerationHookRequest(
prompt=prompt,
data=dict(step.get("data") or {}),
template=step.get("template"),
contract_id=step.get("contract_id"),
metadata={"workflow_id": self.plan.id, "step_id": step.get("id")},
)
generated = self.assisted_hook.generate(request)
return generated.to_dict() | {"kind": "assisted"}
def _render_output(
self,
output_id: str,
spec: dict[str, Any],
context: dict[str, Any],
*,
dry_run: bool,
) -> WorkflowOutputRecord:
resolved = resolve_workflow_bindings(spec, context)
if "template" in resolved:
template_text = _safe_input_path(self.base_dir, resolved["template"]).read_text(encoding="utf-8")
content = render_template(template_text, dict(resolved.get("data") or {}), strict=bool(resolved.get("strict", True))).markdown
else:
content = _format_output_value(resolved.get("content", resolved.get("value", "")))
output_path: Path | None = None
written = False
if resolved.get("path"):
output_path = _safe_output_path(self.output_dir, resolved["path"])
if not dry_run:
output_path.parent.mkdir(parents=True, exist_ok=True)
output_path.write_text(content, encoding="utf-8")
written = True
return WorkflowOutputRecord(
id=output_id,
path=str(output_path) if output_path else None,
content=content,
written=written,
artifact=resolved.get("artifact"),
)
def load_workflow_file(path: str | Path) -> WorkflowPlan:
"""Load a YAML or Markdown-fenced workflow definition."""
file_path = Path(path)
text = file_path.read_text(encoding="utf-8")
data = _load_workflow_mapping(text, file_path)
return _workflow_from_mapping(data, source_path=str(file_path))
def validate_workflow_plan(plan: WorkflowPlan) -> list[Diagnostic]:
diagnostics: list[Diagnostic] = []
if not plan.inputs and not plan.steps:
diagnostics.append(_diagnostic("workflow.empty", "Workflow requires at least inputs or steps."))
seen_steps: set[str] = set()
for step in plan.steps:
step_id = str(step.get("id", "")).strip()
if not step_id:
diagnostics.append(_diagnostic("workflow.step_missing_id", "Workflow step requires `id`."))
continue
if step_id in seen_steps:
diagnostics.append(_diagnostic("workflow.step_duplicate_id", f"Duplicate workflow step id `{step_id}`."))
seen_steps.add(step_id)
if not step.get("kind"):
diagnostics.append(_diagnostic("workflow.step_missing_kind", f"Workflow step `{step_id}` requires `kind`."))
return diagnostics
def resolve_workflow_bindings(value: Any, context: dict[str, Any]) -> Any:
"""Resolve `${...}` expressions recursively."""
if isinstance(value, dict):
return {key: resolve_workflow_bindings(item, context) for key, item in value.items()}
if isinstance(value, list):
return [resolve_workflow_bindings(item, context) for item in value]
if not isinstance(value, str):
return value
matches = list(_EXPRESSION_RE.finditer(value))
if not matches:
return value
if len(matches) == 1 and matches[0].span() == (0, len(value)):
return _resolve_path(context, matches[0].group("path").strip())
def replace(match: re.Match[str]) -> str:
return _format_output_value(_resolve_path(context, match.group("path").strip()))
return _EXPRESSION_RE.sub(replace, value)
def _load_workflow_mapping(text: str, path: Path) -> dict[str, Any]:
if path.suffix.lower() in {".yaml", ".yml"}:
data = yaml.safe_load(text) or {}
else:
data = _extract_markdown_workflow_block(text)
if not isinstance(data, dict):
raise WorkflowError("Workflow definition must be a mapping")
return data
def _extract_markdown_workflow_block(text: str) -> dict[str, Any]:
fence_re = re.compile(r"```(?P<info>[^\n`]*)\n(?P<body>.*?)\n```", re.DOTALL)
for match in fence_re.finditer(text):
info = set(match.group("info").strip().lower().split())
if info & WORKFLOW_FENCE_TAGS:
data = yaml.safe_load(match.group("body")) or {}
if not isinstance(data, dict):
raise WorkflowError("Workflow fenced block must contain a YAML mapping")
return data
raise WorkflowError("No fenced workflow YAML block found")
def _workflow_from_mapping(data: dict[str, Any], *, source_path: str | None) -> WorkflowPlan:
metadata = _mapping(data.get("metadata"))
inputs = _mapping(data.get("inputs"))
outputs = _normalize_outputs(data.get("outputs"))
steps = _normalize_steps(data.get("steps"))
known = {key: data.get(key) for key in KNOWN_TOP_LEVEL}
extensions = {key: value for key, value in data.items() if key not in KNOWN_TOP_LEVEL}
return WorkflowPlan(
metadata=metadata,
intent=_intent(data.get("intent")),
inputs=inputs,
steps=steps,
outputs=outputs,
dependencies=list(data.get("dependencies") or []),
conditions=_mapping(data.get("conditions")),
artifacts=_mapping(data.get("artifacts")),
permissions=_mapping(data.get("permissions")),
resources=_mapping(data.get("resources")),
timeouts=_mapping(data.get("timeouts")),
retry_policies=_mapping(data.get("retry_policies")),
escalation_rules=_mapping(data.get("escalation_rules")),
observability=_mapping(data.get("observability")),
responsibilities=_mapping(data.get("responsibilities")),
extensions=extensions,
source_path=source_path,
)
def _normalize_steps(raw_steps: Any) -> list[dict[str, Any]]:
if raw_steps is None:
return []
if isinstance(raw_steps, dict):
return [dict(spec or {}) | {"id": step_id} for step_id, spec in raw_steps.items()]
if isinstance(raw_steps, list):
steps: list[dict[str, Any]] = []
for item in raw_steps:
if not isinstance(item, dict):
raise WorkflowError("Workflow steps list must contain mappings")
steps.append(dict(item))
return steps
raise WorkflowError("Workflow `steps` must be a mapping or list")
def _normalize_outputs(raw_outputs: Any) -> dict[str, dict[str, Any]]:
if raw_outputs is None:
return {}
if isinstance(raw_outputs, dict):
return {str(output_id): dict(spec or {}) for output_id, spec in raw_outputs.items()}
if isinstance(raw_outputs, list):
outputs: dict[str, dict[str, Any]] = {}
for item in raw_outputs:
if not isinstance(item, dict) or not item.get("id"):
raise WorkflowError("Workflow output list entries require `id`")
outputs[str(item["id"])] = dict(item)
return outputs
raise WorkflowError("Workflow `outputs` must be a mapping or list")
def _input_paths(spec: dict[str, Any], base_dir: Path) -> list[Path]:
paths: list[Path] = []
if spec.get("file") or spec.get("path"):
paths.append(_safe_input_path(base_dir, spec.get("file") or spec.get("path")))
for raw_path in spec.get("files") or []:
paths.append(_safe_input_path(base_dir, raw_path))
if spec.get("glob"):
pattern = str((base_dir / str(spec["glob"])).resolve())
paths.extend(Path(path) for path in glob.glob(pattern, recursive=bool(spec.get("recursive", False))))
if spec.get("directory"):
paths.extend(scan_markdown_files([_safe_dir(base_dir, spec["directory"])], recursive=bool(spec.get("recursive", True))))
return sorted({path.resolve() for path in paths if path.exists() and path.is_file()})
def _extract_specs(raw_extract: Any) -> dict[str, dict[str, Any]]:
if raw_extract is None:
return {}
if not isinstance(raw_extract, dict):
raise WorkflowError("Input `extract` must be a mapping")
specs: dict[str, dict[str, Any]] = {}
for name, spec in raw_extract.items():
if isinstance(spec, str):
specs[str(name)] = {"selector": spec}
elif isinstance(spec, dict) and spec.get("selector"):
specs[str(name)] = dict(spec)
else:
raise WorkflowError(f"Input extract `{name}` requires a selector")
return specs
def _ordered_steps(steps: list[dict[str, Any]], diagnostics: list[Diagnostic]) -> list[dict[str, Any]]:
by_id = {str(step.get("id")): step for step in steps if step.get("id")}
ordered: list[dict[str, Any]] = []
temporary: set[str] = set()
permanent: set[str] = set()
def visit(step_id: str) -> None:
if step_id in permanent:
return
if step_id in temporary:
diagnostics.append(_diagnostic("workflow.dependency_cycle", f"Workflow dependency cycle includes `{step_id}`."))
return
step = by_id.get(step_id)
if step is None:
diagnostics.append(_diagnostic("workflow.unknown_step_dependency", f"Unknown workflow step dependency `{step_id}`."))
return
temporary.add(step_id)
for dep in _as_list(step.get("depends_on")):
visit(str(dep))
temporary.remove(step_id)
permanent.add(step_id)
ordered.append(step)
for step in steps:
if step.get("id"):
visit(str(step["id"]))
return ordered
def _query_like_step(step: dict[str, Any], selector: str, *, query: bool) -> list[Any]:
source = step.get("source", step.get("input"))
engine = str(step.get("engine", "selector"))
documents = _documents_from_source(source)
results: list[Any] = []
for document in documents:
if query:
results.extend(match.to_dict() for match in query_document_with_engine(document, selector, engine=engine))
else:
results.extend(extract_document_with_engine(document, selector, engine=engine))
return results
def _documents_from_source(source: Any) -> list[Document]:
if isinstance(source, dict) and "items" in source:
return [Document.from_dict(item["document"]) for item in source["items"] if isinstance(item, dict) and "document" in item]
if isinstance(source, dict) and "document" in source:
return [Document.from_dict(source["document"])]
if isinstance(source, dict) and {"headings", "blocks", "sections"} <= set(source):
return [Document.from_dict(source)]
raise WorkflowError("query/extract step requires a source collection or document")
def _template_text(step: dict[str, Any], base_dir: Path) -> str:
if step.get("template_text") is not None:
return str(step["template_text"])
if step.get("template"):
return _safe_input_path(base_dir, step["template"]).read_text(encoding="utf-8")
raise WorkflowError("template step requires `template` or `template_text`")
def _markdown_input(step: dict[str, Any], base_dir: Path) -> str:
if step.get("markdown") is not None:
return str(step["markdown"])
if step.get("input") is not None:
return _format_output_value(step["input"])
if step.get("file"):
return _safe_input_path(base_dir, step["file"]).read_text(encoding="utf-8")
raise WorkflowError("step requires `markdown`, `input`, or `file`")
def _base_context(plan: WorkflowPlan, sources: dict[str, Any], steps: dict[str, Any]) -> dict[str, Any]:
return {
"metadata": plan.metadata,
"intent": plan.intent,
"sources": sources,
"steps": steps,
"artifacts": plan.artifacts,
"workflow": plan.to_dict(),
}
def _resolve_path(context: dict[str, Any], path: str) -> Any:
current: Any = context
for part in path.split("."):
if isinstance(current, dict) and part in current:
current = current[part]
elif isinstance(current, list):
if part.isdigit():
current = current[int(part)]
else:
current = [
item[part]
for item in current
if isinstance(item, dict) and part in item
]
else:
raise WorkflowError(f"Cannot resolve workflow binding `${{{path}}}`")
return current
def _matches_where(document: dict[str, Any], where: dict[str, Any]) -> bool:
context = {"frontmatter": document.get("frontmatter", {}), "document": document}
for path, expected in where.items():
try:
value = _resolve_path(context, str(path))
except WorkflowError:
return False
if value != expected:
return False
return True
def _safe_input_path(base_dir: Path, raw_path: Any) -> Path:
if not raw_path:
raise WorkflowError("Expected path")
path = (base_dir / str(raw_path)).resolve()
if not _is_within(path, base_dir):
raise WorkflowError(f"Path escapes workflow directory: {raw_path}")
if not path.exists():
raise WorkflowError(f"Path does not exist: {raw_path}")
return path
def _safe_dir(base_dir: Path, raw_path: Any) -> Path:
path = _safe_input_path(base_dir, raw_path)
if not path.is_dir():
raise WorkflowError(f"Expected directory: {raw_path}")
return path
def _safe_output_path(output_dir: Path, raw_path: Any) -> Path:
path = (output_dir / str(raw_path)).resolve()
if not _is_within(path, output_dir):
raise WorkflowError(f"Output path escapes output directory: {raw_path}")
return path
def _is_within(path: Path, root: Path) -> bool:
try:
path.relative_to(root)
return True
except ValueError:
return False
def _relative(path: Path, root: Path) -> str:
try:
return path.resolve().relative_to(root).as_posix()
except ValueError:
return str(path)
def _mapping(value: Any) -> dict[str, Any]:
if value is None:
return {}
if isinstance(value, dict):
return dict(value)
raise WorkflowError("Expected mapping")
def _intent(value: Any) -> dict[str, Any]:
if value is None:
return {}
if isinstance(value, str):
return {"summary": value}
if isinstance(value, dict):
return dict(value)
raise WorkflowError("Workflow `intent` must be a string or mapping")
def _as_list(value: Any) -> list[Any]:
if value is None:
return []
if isinstance(value, list):
return value
return [value]
def _format_output_value(value: Any) -> str:
if value is None:
return ""
if isinstance(value, str):
return value
if isinstance(value, list):
return "\n".join(f"- {_format_output_value(item)}" for item in value)
if isinstance(value, dict):
return yaml.safe_dump(value, sort_keys=False).strip()
return str(value)
def _diagnostic(
code: str,
message: str,
*,
severity: str = "error",
details: dict[str, Any] | None = None,
) -> Diagnostic:
return Diagnostic(
severity=severity,
code=code,
message=message,
source=SourceLocation(),
details=details or {},
)

View File

@@ -13,6 +13,7 @@ def test_builtin_extension_registry_lists_query_processors_and_backend():
assert "processor.uppercase" in ids
assert "processor.include" in ids
assert "backend.local-sqlite" in ids
assert "workflow.markdown-dataflow" in ids
def test_builtin_processor_descriptors_capture_safety_and_provenance():
@@ -48,3 +49,18 @@ def test_builtin_local_sqlite_descriptor_exposes_backend_capabilities():
"mkt cache query",
"mkt search",
]
def test_builtin_workflow_descriptor_exposes_cli_and_safety():
registry = builtin_extension_registry()
descriptor = registry.get("workflow.markdown-dataflow")
assert descriptor.kind == "workflow-engine"
assert descriptor.safety["writes_output_files"] is True
assert descriptor.safety["assisted_generation"] == "adapter-only"
assert descriptor.cli["commands"] == [
"mkt workflow inspect",
"mkt workflow plan",
"mkt workflow run",
]

View File

@@ -0,0 +1,228 @@
from pathlib import Path
from click.testing import CliRunner
from markitect_tool.cli import main
from markitect_tool.generation import GenerationHookRequest, GenerationHookResult
from markitect_tool.workflow import (
WorkflowRunner,
load_workflow_file,
resolve_workflow_bindings,
)
WORKFLOW = """# ADR Release Workflow
```yaml workflow
metadata:
id: adr-release
title: ADR Release Notes
intent:
summary: Collect accepted ADR decisions.
permissions:
filesystem:
read: [adrs, templates]
write: [out]
responsibilities:
agent:
may_run_deterministic_steps: true
inputs:
adrs:
glob: adrs/*.md
where:
frontmatter.status: accepted
extract:
decisions:
selector: sections[heading=Decision]
steps:
render:
kind: template
template: templates/release.md
data:
decisions: ${sources.adrs.extracts.decisions}
outputs:
release_notes:
path: out/release-notes.md
content: ${steps.render.markdown}
observability:
events: [workflow.started, workflow.completed]
```
"""
def _write_workflow_fixture(tmp_path: Path) -> Path:
(tmp_path / "adrs").mkdir()
(tmp_path / "templates").mkdir()
(tmp_path / "adrs" / "one.md").write_text(
"---\nstatus: accepted\n---\n# One\n\n## Decision\n\nUse the workflow engine.\n",
encoding="utf-8",
)
(tmp_path / "adrs" / "two.md").write_text(
"---\nstatus: proposed\n---\n# Two\n\n## Decision\n\nIgnore this one.\n",
encoding="utf-8",
)
(tmp_path / "templates" / "release.md").write_text(
"# Release Notes\n\n{{decisions}}\n",
encoding="utf-8",
)
workflow = tmp_path / "workflow.md"
workflow.write_text(WORKFLOW, encoding="utf-8")
return workflow
def test_load_workflow_file_preserves_standard_sections(tmp_path: Path):
workflow = _write_workflow_fixture(tmp_path)
plan = load_workflow_file(workflow)
assert plan.id == "adr-release"
assert plan.intent["summary"] == "Collect accepted ADR decisions."
assert plan.permissions["filesystem"]["read"] == ["adrs", "templates"]
assert plan.responsibilities["agent"]["may_run_deterministic_steps"] is True
assert plan.observability["events"] == ["workflow.started", "workflow.completed"]
assert plan.steps[0]["id"] == "render"
def test_workflow_runner_collects_sources_and_renders_output(tmp_path: Path):
workflow = _write_workflow_fixture(tmp_path)
plan = load_workflow_file(workflow)
result = WorkflowRunner(plan).run(dry_run=True)
assert result.valid
assert result.sources["adrs"]["count"] == 1
assert "Use the workflow engine." in result.sources["adrs"]["extracts"]["decisions"][0]
assert result.steps["render"]["complete"]
assert result.outputs[0].path.endswith("out/release-notes.md")
assert not result.outputs[0].written
assert "Ignore this one" not in result.outputs[0].content
def test_workflow_runner_writes_outputs_under_output_dir(tmp_path: Path):
workflow = _write_workflow_fixture(tmp_path)
plan = load_workflow_file(workflow)
output_dir = tmp_path / "build"
result = WorkflowRunner(plan, output_dir=output_dir).run()
assert result.valid
output = output_dir / "out" / "release-notes.md"
assert output.exists()
assert "Use the workflow engine" in output.read_text(encoding="utf-8")
assert result.outputs[0].written
def test_resolve_workflow_bindings_preserves_native_types_and_projects_lists():
context = {
"sources": {
"docs": {
"items": [
{"path": "a.md", "frontmatter": {"status": "accepted"}},
{"path": "b.md", "frontmatter": {"status": "proposed"}},
],
}
}
}
value = resolve_workflow_bindings(
{
"paths": "${sources.docs.items.path}",
"sentence": "Files: ${sources.docs.items.path}",
},
context,
)
assert value["paths"] == ["a.md", "b.md"]
assert value["sentence"] == "Files: - a.md\n- b.md"
def test_optional_assisted_step_skips_without_hook(tmp_path: Path):
workflow = tmp_path / "workflow.yaml"
workflow.write_text(
"""
metadata:
id: assisted-demo
steps:
review:
kind: assisted
optional: true
prompt_text: Review this.
outputs:
review:
content: ${steps.review.skipped}
""",
encoding="utf-8",
)
result = WorkflowRunner(load_workflow_file(workflow)).run(dry_run=True)
assert result.valid
assert result.steps["review"]["skipped"] is True
assert result.steps["review"]["diagnostics"][0]["code"] == "workflow.assisted_unavailable"
class _FakeHook:
def generate(self, request: GenerationHookRequest) -> GenerationHookResult:
return GenerationHookResult(
markdown=f"Reviewed: {request.prompt}",
provider="fake",
)
def test_assisted_step_uses_injected_hook(tmp_path: Path):
workflow = tmp_path / "workflow.yaml"
workflow.write_text(
"""
metadata:
id: assisted-demo
steps:
review:
kind: assisted
optional: false
prompt_text: Review this.
outputs:
review:
content: ${steps.review.markdown}
""",
encoding="utf-8",
)
result = WorkflowRunner(load_workflow_file(workflow), assisted_hook=_FakeHook()).run(dry_run=True)
assert result.valid
assert result.steps["review"]["provider"] == "fake"
assert result.outputs[0].content == "Reviewed: Review this."
def test_mkt_workflow_inspect_plan_and_run(tmp_path: Path):
workflow = _write_workflow_fixture(tmp_path)
runner = CliRunner()
inspected = runner.invoke(main, ["workflow", "inspect", str(workflow)])
planned = runner.invoke(main, ["workflow", "plan", str(workflow)])
run = runner.invoke(main, ["workflow", "run", str(workflow), "--output-dir", str(tmp_path / "build")])
assert inspected.exit_code == 0
assert "valid" in inspected.output
assert planned.exit_code == 0
assert "outputs: 1" in planned.output
assert run.exit_code == 0
assert "written" in run.output
def test_example_adr_release_notes_workflow_runs(tmp_path: Path):
workflow = Path("examples/workflows/adr-release-notes.workflow.md")
result = WorkflowRunner(load_workflow_file(workflow), output_dir=tmp_path).run()
assert result.valid
assert result.sources["adrs"]["count"] == 2
assert (tmp_path / "out" / "release-notes.md").exists()
assert "local SQLite backend" in (tmp_path / "out" / "release-notes.md").read_text(encoding="utf-8")
def test_example_assisted_review_workflow_is_deterministic_without_hook(tmp_path: Path):
workflow = Path("examples/workflows/assisted-review.workflow.md")
result = WorkflowRunner(load_workflow_file(workflow), output_dir=tmp_path).run(dry_run=True)
assert result.valid
assert result.steps["review"]["skipped"] is True

View File

@@ -3,7 +3,7 @@ id: MKTT-WP-0011
type: workplan
title: "Markdown Dataflow Pipeline Workflows"
domain: markitect
status: todo
status: done
owner: markitect-tool
topic_slug: markitect
planning_priority: P2
@@ -51,7 +51,7 @@ See `docs/markdown-dataflow-workflow-assessment.md`.
```task
id: MKTT-WP-0011-T001
status: todo
status: done
priority: high
state_hub_task_id: "c335cbaa-dfb9-4df5-b1ae-87aaf6097bd8"
```
@@ -61,11 +61,18 @@ steps, outputs, variables, dry-run behavior, diagnostics, and provenance.
Output: workflow schema, examples, and validation diagnostics.
Implemented: `docs/workflow-definition-standard.md` defines the workflow
standard with metadata, intent, inputs, outputs, steps, dependencies,
conditions, artifacts, permissions, resource requirements, timeouts, retry
policies, escalation rules, observability events, and human/agent/system
responsibility boundaries. `WorkflowPlan` preserves all standard sections and
unknown extension fields.
## P11.2 - Implement Markdown source collectors
```task
id: MKTT-WP-0011-T002
status: todo
status: done
priority: high
state_hub_task_id: "16a89801-d96d-437f-a883-81d09586f47a"
```
@@ -75,11 +82,15 @@ selectors, sections, blocks, metrics, and future reference/index backends.
Output: source collector API, selector integration, and tests.
Implemented: workflow inputs collect `file`, `path`, `files`, `glob`, and
`directory` Markdown sources, support frontmatter filters, metrics,
frontmatter, selectors, and named extractions.
## P11.3 - Implement deterministic step registry
```task
id: MKTT-WP-0011-T003
status: todo
status: done
priority: high
state_hub_task_id: "808bed93-c7e2-4b34-90f4-f6f961fef503"
```
@@ -89,11 +100,15 @@ render, contract stub generation, contract checks, and data shaping.
Output: deterministic workflow runner with dependency ordering.
Implemented: deterministic workflow runner supports dependency ordering and
step kinds `shape`, `extract`, `query`, `template`, `compose`, `transform`,
`include`, `contract_stub`, `contract_check`, and `assisted` boundary.
## P11.4 - Implement data expression and binding model
```task
id: MKTT-WP-0011-T004
status: todo
status: done
priority: high
state_hub_task_id: "ea1ad9d2-3668-4b65-afb4-f490e5bfd0c6"
```
@@ -103,11 +118,15 @@ for example `${sources.adrs.decisions}` or `${steps.summary.markdown}`.
Output: expression resolver, type checks, and missing-reference diagnostics.
Implemented: `${...}` bindings preserve native types for full-expression
values, interpolate text inside longer strings, support dictionary paths,
numeric list indexes, and list projection over dictionaries.
## P11.5 - Add optional assisted processing step boundary
```task
id: MKTT-WP-0011-T005
status: todo
status: done
priority: medium
state_hub_task_id: "ed1adc60-fdd8-4d4c-b4d7-7ce906e641c6"
```
@@ -118,11 +137,15 @@ dry-run, optional steps, and policy gates before sending data to a provider.
Output: hook adapter interface and tests with fake providers.
Implemented: assisted steps use the provider-neutral generation hook boundary.
Without a hook, optional assisted steps are skipped with warning diagnostics and
required assisted steps fail. Tests include an injected fake hook.
## P11.6 - Implement multi-output sinks
```task
id: MKTT-WP-0011-T006
status: todo
status: done
priority: high
state_hub_task_id: "902707d7-46fe-45d6-a9ec-b85763065ff9"
```
@@ -133,11 +156,15 @@ their source data.
Output: output sink API, path-safety checks, and provenance manifests.
Implemented: outputs can render content or templates, write multiple Markdown
files under a safe output root, support dry-run planning, and emit output
records plus provenance/trace events.
## P11.7 - Add workflow CLI
```task
id: MKTT-WP-0011-T007
status: todo
status: done
priority: high
state_hub_task_id: "ccc26867-5724-4205-b3fe-a8b9d046775d"
```
@@ -152,11 +179,19 @@ mkt workflow run <workflow.md>
Include JSON/YAML outputs for agent use.
Implemented:
- `mkt workflow inspect <workflow.md>`
- `mkt workflow plan <workflow.md>`
- `mkt workflow run <workflow.md>`
All commands support text, JSON, and YAML output.
## P11.8 - Add representative end-to-end examples
```task
id: MKTT-WP-0011-T008
status: todo
status: done
priority: high
state_hub_task_id: "f8501ea6-1ead-477d-8f64-c196e7edfe68"
```
@@ -168,6 +203,9 @@ Create examples covering:
- source snippets -> docs
- deterministic summary -> optional assisted review -> final Markdown
Implemented: examples under `examples/workflows/` cover ADR release notes,
source snippet extraction, and an optional assisted review boundary.
## Exit Criteria
- A non-programmer can write a Markdown/YAML workflow that extracts data from