11 KiB
Canonical TOML Path Strings Implementation Plan
For agentic workers: REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (
- [ ]) syntax for tracking.
Goal: Make canonical TOML-key strings the advertised and serialized representation for workflow paths while retaining structured-object input compatibility for existing stored data.
Architecture: Keep GraphSourcePath, StatePath, and LocalPath as structured immutable values. Move TOML-key parsing into wf_core.paths, add one canonical formatter there, and make every Pydantic path serializer emit strings. wf_authoring delegates to the core parser instead of owning a second grammar.
Tech Stack: Python 3.14, stdlib tomllib, Pydantic v2 core schemas, pytest, Ruff, basedpyright.
Task 1: Define The Core TOML-Key Grammar
Files:
-
Modify:
src/wf_core/paths.py -
Test:
tests/core/test_path_values.py -
Step 1: Write failing parser and formatter tests
Add tests proving quoted segments round-trip and roots remain typed:
def test_toml_path_strings_round_trip_literal_segments() -> None:
source = GraphSourcePath.parse('input."customer.name"."display name"')
target = StatePath.parse('state."report.title"')
local = LocalPath.parse('payload."raw.value"')
assert source.parts == ("customer.name", "display name")
assert target.parts == ("report.title",)
assert local.parts == ("payload", "raw.value")
assert str(source) == 'input."customer.name"."display name"'
assert str(target) == 'state."report.title"'
assert str(local) == 'payload."raw.value"'
Also test LocalPath.parse("."), bare keys, malformed TOML, invalid roots, and empty writable state paths.
- Step 2: Run the focused test and verify RED
Run: uv run pytest tests/core/test_path_values.py -q
Expected: quoted full paths fail because current core parsing uses str.split(".").
- Step 3: Implement shared parsing and formatting
In src/wf_core/paths.py, add the shared implementation:
_BARE_TOML_KEY = re.compile(r"^[A-Za-z0-9_-]+$")
def parse_toml_path_segments(expr: str) -> tuple[str, ...]:
"""Parse a TOML key expression into literal path segments."""
try:
parsed = tomllib.loads(f"{expr} = true")
except tomllib.TOMLDecodeError as exc:
raise PathResolutionError(
f"invalid TOML path {expr!r}; quote path segments containing dots or spaces"
) from exc
parts: list[str] = []
current: object = parsed
while isinstance(current, dict):
if len(current) != 1:
raise PathResolutionError(f"invalid TOML path {expr!r}")
key, current = next(iter(current.items()))
parts.append(_validate_segment(key, path_kind="TOML path"))
if current is not True or not parts:
raise PathResolutionError(f"invalid TOML path {expr!r}")
return tuple(parts)
def format_toml_path_segments(parts: tuple[str, ...]) -> str:
"""Format literal segments as one canonical TOML key expression."""
if not parts:
raise PathResolutionError("cannot format an empty TOML path")
return ".".join(
part
if _BARE_TOML_KEY.fullmatch(part)
else json.dumps(part, ensure_ascii=False)
for part in parts
)
Use tomllib.loads(f"{expr} = true") for parsing. The formatter emits bare
TOML keys when legal and quoted TOML basic strings otherwise. Keep the local
root marker . as a special complete path, not a TOML key expression.
Update:
GraphSourcePath.parse(raw)
GraphSourcePath.__str__()
StatePath.parse(raw)
StatePath.__str__()
LocalPath.parse(raw)
LocalPath.__str__()
GraphSourcePath.parse parses the whole expression, then treats the first
segment as the graph root. StatePath requires root state plus at least one
remaining segment. LocalPath has no serialized local. prefix.
- Step 4: Run focused core tests
Run: uv run pytest tests/core/test_path_values.py tests/core/test_nested_state_paths.py -q
Expected: PASS.
- Step 5: Commit
git add src/wf_core/paths.py tests/core/test_path_values.py
git commit -m "feat: define canonical TOML workflow paths"
Task 2: Serialize Paths As Strings And Advertise Strings In JSON Schema
Files:
-
Modify:
src/wf_core/paths.py -
Modify:
tests/core/test_path_values.py -
Modify:
tests/core/test_canonical_node_bindings.py -
Step 1: Write failing Pydantic projection tests
Extend the existing Pydantic path payload test:
def test_path_models_serialize_strings_but_accept_structural_compat() -> None:
payload = PathPayload.model_validate(
{
"source": {"root": "input", "parts": ["user.name"]},
"target": {"root": "state", "parts": ["person name"]},
"local": {"root": "local", "parts": ["payload.text"]},
}
)
assert payload.model_dump(mode="json") == {
"source": 'input."user.name"',
"target": 'state."person name"',
"local": '"payload.text"',
}
assert PathPayload.model_json_schema()["properties"]["source"]["type"] == "string"
- Step 2: Run tests and verify RED
Run: uv run pytest tests/core/test_path_values.py tests/core/test_canonical_node_bindings.py -q
Expected: current serializers emit {root, parts} objects.
- Step 3: Change serializers and JSON schemas
Make each path _serialize return str(value). Replace the structural
_path_json_schema with a string schema whose description documents TOML-key
quoting. Do not include the compatibility object in generated JSON Schema;
validators continue accepting it so old persisted records remain readable.
Keep a comment at the validator seam:
# Structural objects remain input-only compatibility for persisted records.
# New schemas and serializers expose the canonical TOML-key string form.
- Step 4: Update exact serialized binding expectations
Adjust tests that assert JSON payloads to expect strings such as
input.message, state.echoed, and .. Keep field-level assertions rather
than replacing whole large snapshots.
- Step 5: Run core serialization tests
Run: uv run pytest tests/core/test_path_values.py tests/core/test_canonical_node_bindings.py tests/core/test_run_codec.py -q
Expected: PASS, including decoding old structural path objects.
- Step 6: Commit
git add src/wf_core/paths.py tests/core/test_path_values.py tests/core/test_canonical_node_bindings.py
git commit -m "feat: serialize canonical workflow path strings"
Task 3: Remove The Duplicate Authoring Parser
Files:
-
Modify:
src/wf_authoring/dsl/path_inputs.py -
Modify:
tests/authoring/test_path_inputs.py -
Step 1: Add delegation coverage
Add a test proving full rooted strings and explicit-root expressions resolve to the same structured value:
def test_authoring_paths_share_core_toml_grammar() -> None:
assert coerce_graph_path('state."person.name"') == GraphSourcePath(
"state", ("person.name",)
)
assert coerce_graph_path('"person.name"', root="state") == GraphSourcePath(
"state", ("person.name",)
)
- Step 2: Replace
_parse_toml_key_expr
Delete the local tomllib parser and import
parse_toml_path_segments from wf_core.paths. Preserve iterable and
structural-object coercion behavior for Python callers.
- Step 3: Run authoring tests
Run: uv run pytest tests/authoring/test_path_inputs.py tests/authoring/test_builder.py tests/authoring/test_conditions.py -q
Expected: PASS.
- Step 4: Commit
git add src/wf_authoring/dsl/path_inputs.py tests/authoring/test_path_inputs.py
git commit -m "refactor: share workflow path grammar"
Task 4: Update Draft, Transport, And Compatibility Coverage
Files:
-
Modify:
tests/wf_api/test_drafts_service.py -
Modify:
tests/wf_transport_rpc_http/test_app.py -
Modify:
tests/wf_transport_rpc_http/test_client.py -
Modify:
tests/wf_mcp/workflow_surface/test_drafts.py -
Step 1: Add one stored-draft compatibility regression
Create a workspace from a draft containing structural path objects, retrieve or patch it, and assert the next serialized draft uses canonical strings while preserving the same path values.
- Step 2: Update focused transport assertions
Change only assertions for serialized path fields. RPC and MCP requests should advertise and return strings; input model tests must still accept structural objects.
- Step 3: Run affected suites
Run:
uv run pytest tests/wf_api/test_drafts_service.py tests/wf_transport_rpc_http/test_app.py tests/wf_transport_rpc_http/test_client.py tests/wf_mcp/workflow_surface/test_drafts.py -q
Expected: PASS.
- Step 4: Commit
git add tests/wf_api/test_drafts_service.py tests/wf_transport_rpc_http/test_app.py tests/wf_transport_rpc_http/test_client.py tests/wf_mcp/workflow_surface/test_drafts.py
git commit -m "test: cover canonical path transport compatibility"
Task 5: Documentation And Final Verification
Files:
-
Modify:
docs/workflow_drafts.md -
Modify:
docs/wf_authoring_control_flow.md -
Modify:
skills/wf-cli/SKILL.md -
Modify:
skills/wf-workflow/references/draft-workspaces.md -
Modify:
skills/wf-workflow/references/direct-plan-import.md -
Modify:
docs/current_roadmap.md -
Modify:
docs/superpowers/specs/2026-06-27-draft-semantic-authoring-boundary.md -
Move after completion:
docs/superpowers/plans/2026-06-27-canonical-toml-path-strings.md->docs/historical/superpowers/plans/2026-06-27-canonical-toml-path-strings.md -
Step 1: Replace structural path examples
Use canonical examples:
{"path":"input.text","target":"text"}
{"source":"result","target":"state.result"}
Document TOML quoting with state."field.with.dot". State that structural
objects are input-only compatibility and must not be generated by agents.
- Step 2: Record implementation status
Mark the canonical-path section implemented in the design spec and add a short completed roadmap entry.
- Step 3: Run verification
uv run pytest tests/core/test_path_values.py tests/core/test_canonical_node_bindings.py tests/authoring/test_path_inputs.py tests/authoring/test_builder.py tests/wf_api/test_drafts_service.py tests/wf_transport_rpc_http/test_app.py tests/wf_transport_rpc_http/test_client.py tests/wf_mcp/workflow_surface/test_drafts.py -q
uv run ruff check
uv run ruff format --check
uv run basedpyright --level error
git diff --check
Expected: all tests pass, Ruff is clean, basedpyright reports zero errors, and
git diff --check reports no whitespace errors.
- Step 4: Archive and commit the plan
git mv docs/superpowers/plans/2026-06-27-canonical-toml-path-strings.md docs/historical/superpowers/plans/2026-06-27-canonical-toml-path-strings.md
git add docs skills
git commit -m "docs: document canonical workflow path strings"