Extensible canonical internal processing refactoring

This commit is contained in:
2026-05-04 11:06:11 +02:00
parent 4a16ccf1e1
commit d977f9e67c
20 changed files with 1815 additions and 16 deletions

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@@ -0,0 +1,64 @@
"""CLI extension specifications derived from internal extension descriptors."""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any
from markitect_tool.extension import ExtensionDescriptor, ExtensionRegistry
@dataclass(frozen=True)
class CliCommandSpec:
"""Inspectable command affordance declared by an extension."""
command: str
extension_id: str
kind: str
summary: str | None = None
metadata: dict[str, Any] = field(default_factory=dict)
def to_dict(self) -> dict[str, Any]:
data = {
"command": self.command,
"extension_id": self.extension_id,
"kind": self.kind,
"summary": self.summary,
"metadata": self.metadata,
}
return {
key: value
for key, value in data.items()
if value not in (None, {}, [])
}
def command_specs_from_extension(descriptor: ExtensionDescriptor) -> list[CliCommandSpec]:
"""Return CLI command specs declared by one extension descriptor."""
raw_commands = descriptor.cli.get("commands", [])
if isinstance(raw_commands, str):
raw_commands = [raw_commands]
return [
CliCommandSpec(
command=str(command),
extension_id=descriptor.id,
kind=descriptor.kind,
summary=descriptor.summary,
metadata={
key: value
for key, value in descriptor.cli.items()
if key != "commands"
},
)
for command in raw_commands
]
def collect_cli_command_specs(registry: ExtensionRegistry) -> list[CliCommandSpec]:
"""Collect CLI affordances from a registry of extension descriptors."""
specs: list[CliCommandSpec] = []
for descriptor in registry.list():
specs.extend(command_specs_from_extension(descriptor))
return sorted(specs, key=lambda spec: (spec.command, spec.extension_id))

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@@ -0,0 +1,56 @@
"""Internal extension framework primitives."""
from markitect_tool.extension.processing import (
ProcessingCapability,
ProcessingContext,
ProcessingDiagnostic,
ProcessingProvenance,
ProcessingRequest,
ProcessingResult,
ProcessingTrace,
)
from markitect_tool.extension.execution import (
AfterCallback,
BeforeCallback,
ExtensionExecutor,
ExtensionLifecycle,
ExtensionRunner,
)
from markitect_tool.extension.registry import (
ExtensionDependencyCheck,
ExtensionDescriptor,
ExtensionRegistry,
ExtensionRegistryError,
OptionalDependency,
)
__all__ = [
"ProcessingCapability",
"ProcessingContext",
"ProcessingDiagnostic",
"ProcessingProvenance",
"ProcessingRequest",
"ProcessingResult",
"ProcessingTrace",
"ExtensionDependencyCheck",
"ExtensionDescriptor",
"ExtensionRegistry",
"ExtensionRegistryError",
"OptionalDependency",
"AfterCallback",
"BeforeCallback",
"ExtensionExecutor",
"ExtensionLifecycle",
"ExtensionRunner",
]
def builtin_extension_registry():
"""Return built-in extension descriptors without import-cycle pressure."""
from markitect_tool.extension.builtins import builtin_extension_registry as _registry
return _registry()
__all__.append("builtin_extension_registry")

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@@ -0,0 +1,92 @@
"""Built-in internal extension descriptors."""
from __future__ import annotations
from markitect_tool.extension.registry import ExtensionDescriptor, ExtensionRegistry
from markitect_tool.extension.processing import ProcessingCapability
from markitect_tool.query import default_query_engine_registry
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()]:
registry.register(descriptor)
return registry
def _processor_descriptors() -> list[ExtensionDescriptor]:
return [
ExtensionDescriptor(
id="processor.identity",
kind="processor",
summary="Return fenced block content unchanged.",
capabilities=[
ProcessingCapability(id="processor", kind="execute"),
ProcessingCapability(id="deterministic", kind="execution"),
],
input_contract="ProcessorRequest",
output_contract="ProcessorResult",
diagnostics_namespace="processor",
provenance_prefix="processor.identity",
cli={"commands": ["mkt process"]},
docs=["docs/processors.md"],
),
ExtensionDescriptor(
id="processor.uppercase",
kind="processor",
summary="Uppercase fenced block content deterministically.",
capabilities=[
ProcessingCapability(id="processor", kind="execute"),
ProcessingCapability(id="deterministic", kind="execution"),
],
input_contract="ProcessorRequest",
output_contract="ProcessorResult",
diagnostics_namespace="processor",
provenance_prefix="processor.uppercase",
cli={"commands": ["mkt process"]},
docs=["docs/processors.md"],
),
ExtensionDescriptor(
id="processor.include",
kind="processor",
summary="Resolve a content reference into fenced block output.",
capabilities=[
ProcessingCapability(id="processor", kind="execute"),
ProcessingCapability(id="references", kind="read"),
ProcessingCapability(id="filesystem", kind="read"),
],
safety={"reads_files": True, "writes_files": False, "network": False},
input_contract="ProcessorRequest",
output_contract="ProcessorResult",
diagnostics_namespace="processor",
provenance_prefix="processor.include",
cli={"commands": ["mkt process"]},
docs=["docs/processors.md", "docs/content-references.md"],
),
]
def _local_sqlite_backend_descriptor() -> ExtensionDescriptor:
return ExtensionDescriptor(
id="backend.local-sqlite",
kind="backend",
summary="Local SQLite snapshot, metadata, JSON, and FTS5 index backend.",
capabilities=[
ProcessingCapability(id="snapshots", kind="backend"),
ProcessingCapability(id="ast", kind="backend"),
ProcessingCapability(id="json", kind="backend"),
ProcessingCapability(id="fts", kind="backend"),
ProcessingCapability(id="sql", kind="backend"),
ProcessingCapability(id="provenance", kind="backend"),
],
safety={"reads_files": True, "writes_local_cache": True, "network": False},
input_contract="Markdown files/directories",
output_contract="SQLite snapshot/index store",
diagnostics_namespace="backend.local_sqlite",
provenance_prefix="local_snapshot_store",
cli={"commands": ["mkt cache init", "mkt cache index", "mkt cache query", "mkt search"]},
docs=["docs/local-index-backend.md", "docs/backend-fabric.md"],
examples=["examples/backends/local-sqlite-backend.md"],
)

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@@ -0,0 +1,98 @@
"""Execution lifecycle for internal extensions."""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Callable
from markitect_tool.extension.processing import (
ProcessingRequest,
ProcessingResult,
ProcessingTrace,
)
from markitect_tool.extension.registry import (
ExtensionDescriptor,
ExtensionRegistry,
ExtensionRegistryError,
)
ExtensionRunner = Callable[[ProcessingRequest], ProcessingResult]
BeforeCallback = Callable[[ExtensionDescriptor, ProcessingRequest], None]
AfterCallback = Callable[[ExtensionDescriptor, ProcessingRequest, ProcessingResult], None]
@dataclass
class ExtensionLifecycle:
"""Explicit callbacks around extension execution."""
before: list[BeforeCallback] = field(default_factory=list)
after_success: list[AfterCallback] = field(default_factory=list)
after_failure: list[AfterCallback] = field(default_factory=list)
after: list[AfterCallback] = field(default_factory=list)
def on_before(self, callback: BeforeCallback) -> None:
self.before.append(callback)
def on_success(self, callback: AfterCallback) -> None:
self.after_success.append(callback)
def on_failure(self, callback: AfterCallback) -> None:
self.after_failure.append(callback)
def on_after(self, callback: AfterCallback) -> None:
self.after.append(callback)
class ExtensionExecutor:
"""Execute registered extensions with deterministic lifecycle callbacks."""
def __init__(
self,
registry: ExtensionRegistry,
*,
lifecycle: ExtensionLifecycle | None = None,
) -> None:
self.registry = registry
self.lifecycle = lifecycle or ExtensionLifecycle()
def execute(self, extension_id: str, request: ProcessingRequest) -> ProcessingResult:
descriptor = self.registry.get(extension_id)
dependency_check = self.registry.check_dependencies(extension_id)
if not dependency_check.compatible:
return ProcessingResult.from_error(
code="extension.missing_dependency",
message=f"Extension `{extension_id}` is missing required dependencies.",
details=dependency_check.to_dict(),
)
runner = descriptor.instantiate()
if not callable(runner):
raise ExtensionRegistryError(f"Extension `{extension_id}` factory did not return a callable")
for callback in self.lifecycle.before:
callback(descriptor, request)
result = runner(request)
if not isinstance(result, ProcessingResult):
raise ExtensionRegistryError(
f"Extension `{extension_id}` returned {type(result).__name__}, expected ProcessingResult"
)
result = _with_trace(result, ProcessingTrace(event="extension.executed", metadata={"id": extension_id}))
callbacks = self.lifecycle.after_success if result.valid else self.lifecycle.after_failure
for callback in callbacks:
callback(descriptor, request, result)
for callback in self.lifecycle.after:
callback(descriptor, request, result)
return result
def _with_trace(result: ProcessingResult, trace: ProcessingTrace) -> ProcessingResult:
return ProcessingResult(
output=result.output,
diagnostics=result.diagnostics,
provenance=result.provenance,
dependencies=result.dependencies,
trace=[*result.trace, trace],
metadata=result.metadata,
)

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@@ -0,0 +1,184 @@
"""Canonical processing envelopes for internal extensions."""
from __future__ import annotations
import hashlib
import json
from dataclasses import asdict, dataclass, field
from pathlib import Path
from typing import Any
from markitect_tool.diagnostics import Diagnostic, SourceLocation, has_error
@dataclass(frozen=True)
class ProcessingCapability:
"""A declared capability or permission needed by an extension."""
id: str
kind: str = "feature"
required: bool = True
description: str | None = None
metadata: dict[str, Any] = field(default_factory=dict)
def to_dict(self) -> dict[str, Any]:
return _drop_empty(asdict(self))
@dataclass(frozen=True)
class ProcessingProvenance:
"""Cross-extension provenance envelope."""
operation: str
source_path: str | None = None
snapshot_id: str | None = None
content_hash: str | None = None
dependencies: list[str] = field(default_factory=list)
backend_id: str | None = None
provider_id: str | None = None
metadata: dict[str, Any] = field(default_factory=dict)
def to_dict(self) -> dict[str, Any]:
return _drop_empty(asdict(self))
@dataclass(frozen=True)
class ProcessingTrace:
"""One optional execution trace event."""
event: str
message: str | None = None
metadata: dict[str, Any] = field(default_factory=dict)
def to_dict(self) -> dict[str, Any]:
return _drop_empty(asdict(self))
@dataclass(frozen=True)
class ProcessingContext:
"""Shared execution context available to extension implementations."""
root: Path = Path(".")
source_path: Path | None = None
namespaces: dict[str, str] = field(default_factory=dict)
variables: dict[str, Any] = field(default_factory=dict)
policy: dict[str, Any] = field(default_factory=dict)
backend_handles: dict[str, Any] = field(default_factory=dict, repr=False, compare=False)
caller: str | None = None
metadata: dict[str, Any] = field(default_factory=dict)
def to_dict(self) -> dict[str, Any]:
data = {
"root": str(self.root),
"source_path": str(self.source_path) if self.source_path else None,
"namespaces": self.namespaces,
"variables": self.variables,
"policy": self.policy,
"backend_handles": sorted(self.backend_handles),
"caller": self.caller,
"metadata": self.metadata,
}
return _drop_empty(data)
@dataclass(frozen=True)
class ProcessingRequest:
"""Canonical request passed to an internal extension."""
operation: str
input: Any
context: ProcessingContext = field(default_factory=ProcessingContext)
options: dict[str, Any] = field(default_factory=dict)
scope: str | None = None
capabilities: list[ProcessingCapability] = field(default_factory=list)
metadata: dict[str, Any] = field(default_factory=dict)
@property
def cache_key(self) -> str:
payload = {
"operation": self.operation,
"input": self.input,
"options": self.options,
"scope": self.scope,
"capabilities": [capability.to_dict() for capability in self.capabilities],
"metadata": self.metadata,
}
return "processing:" + hashlib.sha256(
json.dumps(payload, sort_keys=True, ensure_ascii=False, default=str).encode("utf-8")
).hexdigest()
def to_dict(self) -> dict[str, Any]:
data = {
"operation": self.operation,
"input": self.input,
"context": self.context.to_dict(),
"options": self.options,
"scope": self.scope,
"capabilities": [capability.to_dict() for capability in self.capabilities],
"metadata": self.metadata,
"cache_key": self.cache_key,
}
return _drop_empty(data)
@dataclass(frozen=True)
class ProcessingResult:
"""Canonical result returned by an internal extension."""
output: Any = None
diagnostics: list[Diagnostic] = field(default_factory=list)
provenance: list[ProcessingProvenance] = field(default_factory=list)
dependencies: list[str] = field(default_factory=list)
trace: list[ProcessingTrace] = field(default_factory=list)
metadata: dict[str, Any] = field(default_factory=dict)
@property
def valid(self) -> bool:
return not has_error(self.diagnostics)
def to_dict(self) -> dict[str, Any]:
data = {
"valid": self.valid,
"output": self.output,
"diagnostics": [diagnostic.to_dict() for diagnostic in self.diagnostics],
"provenance": [event.to_dict() for event in self.provenance],
"dependencies": self.dependencies,
"trace": [event.to_dict() for event in self.trace],
"metadata": self.metadata,
}
return _drop_empty(data)
@classmethod
def from_error(
cls,
*,
code: str,
message: str,
source_path: str | None = None,
line: int | None = None,
details: dict[str, Any] | None = None,
) -> "ProcessingResult":
return cls(
diagnostics=[
Diagnostic(
severity="error",
code=code,
message=message,
source=SourceLocation(path=source_path, line=line)
if source_path or line
else None,
details=details or {},
)
]
)
ProcessingDiagnostic = Diagnostic
def _drop_empty(data: dict[str, Any]) -> dict[str, Any]:
return {
key: value
for key, value in data.items()
if value not in (None, [], {}, "")
}

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@@ -0,0 +1,193 @@
"""Extension descriptors and registries."""
from __future__ import annotations
from dataclasses import asdict, dataclass, field
from typing import Any, Callable, Iterable
from markitect_tool.extension.processing import ProcessingCapability
ExtensionFactory = Callable[[], Any]
class ExtensionRegistryError(ValueError):
"""Raised when extension descriptors or registries are invalid."""
@dataclass(frozen=True)
class OptionalDependency:
"""An optional runtime dependency declared by an extension."""
name: str
package: str | None = None
extra: str | None = None
required: bool = False
purpose: str | None = None
def to_dict(self) -> dict[str, Any]:
return _drop_empty(asdict(self))
@dataclass(frozen=True)
class ExtensionDescriptor:
"""Inspectable descriptor for one internal extension."""
id: str
kind: str
version: str = "1"
summary: str | None = None
factory: ExtensionFactory | None = field(default=None, compare=False, repr=False)
capabilities: list[ProcessingCapability] = field(default_factory=list)
optional_dependencies: list[OptionalDependency] = field(default_factory=list)
safety: dict[str, Any] = field(default_factory=dict)
input_contract: str | None = None
output_contract: str | None = None
diagnostics_namespace: str | None = None
provenance_prefix: str | None = None
cli: dict[str, Any] = field(default_factory=dict)
docs: list[str] = field(default_factory=list)
examples: list[str] = field(default_factory=list)
metadata: dict[str, Any] = field(default_factory=dict)
def __post_init__(self) -> None:
if not self.id.strip():
raise ExtensionRegistryError("Extension id cannot be empty")
if not self.kind.strip():
raise ExtensionRegistryError("Extension kind cannot be empty")
def to_dict(self) -> dict[str, Any]:
data = {
"id": self.id,
"kind": self.kind,
"version": self.version,
"summary": self.summary,
"capabilities": [capability.to_dict() for capability in self.capabilities],
"optional_dependencies": [
dependency.to_dict() for dependency in self.optional_dependencies
],
"safety": self.safety,
"input_contract": self.input_contract,
"output_contract": self.output_contract,
"diagnostics_namespace": self.diagnostics_namespace,
"provenance_prefix": self.provenance_prefix,
"cli": self.cli,
"docs": self.docs,
"examples": self.examples,
"metadata": self.metadata,
}
return _drop_empty(data)
def instantiate(self) -> Any:
"""Create or return the implementation for this descriptor."""
if self.factory is None:
raise ExtensionRegistryError(f"Extension `{self.id}` has no factory")
return self.factory()
@dataclass(frozen=True)
class ExtensionDependencyCheck:
"""Result of checking required extension dependencies."""
extension_id: str
missing: list[str] = field(default_factory=list)
optional_missing: list[str] = field(default_factory=list)
@property
def compatible(self) -> bool:
return not self.missing
def to_dict(self) -> dict[str, Any]:
return {
"extension_id": self.extension_id,
"compatible": self.compatible,
"missing": self.missing,
"optional_missing": self.optional_missing,
}
class ExtensionRegistry:
"""Registry of internal extension descriptors."""
def __init__(self, descriptors: Iterable[ExtensionDescriptor] | None = None) -> None:
self._descriptors: dict[str, ExtensionDescriptor] = {}
for descriptor in descriptors or []:
self.register(descriptor)
def register(self, descriptor: ExtensionDescriptor) -> None:
if descriptor.id in self._descriptors:
raise ExtensionRegistryError(f"Duplicate extension id `{descriptor.id}`")
self._descriptors[descriptor.id] = descriptor
def get(self, extension_id: str) -> ExtensionDescriptor:
try:
return self._descriptors[extension_id]
except KeyError as exc:
raise ExtensionRegistryError(f"Unknown extension `{extension_id}`") from exc
def list(self, *, kind: str | None = None) -> list[ExtensionDescriptor]:
descriptors = [self._descriptors[key] for key in sorted(self._descriptors)]
if kind is None:
return descriptors
return [descriptor for descriptor in descriptors if descriptor.kind == kind]
def require_capability(self, capability_id: str) -> list[ExtensionDescriptor]:
return [
descriptor
for descriptor in self.list()
if any(capability.id == capability_id for capability in descriptor.capabilities)
]
def check_dependencies(
self,
extension_id: str,
*,
available_modules: set[str] | None = None,
) -> ExtensionDependencyCheck:
descriptor = self.get(extension_id)
available = (
available_modules
if available_modules is not None
else _available_modules(
dependency.name for dependency in descriptor.optional_dependencies
)
)
missing: list[str] = []
optional_missing: list[str] = []
for dependency in descriptor.optional_dependencies:
if dependency.name in available:
continue
if dependency.required:
missing.append(dependency.name)
else:
optional_missing.append(dependency.name)
return ExtensionDependencyCheck(
extension_id=extension_id,
missing=missing,
optional_missing=optional_missing,
)
def to_dict(self) -> dict[str, Any]:
return {
"count": len(self._descriptors),
"extensions": [descriptor.to_dict() for descriptor in self.list()],
}
def _available_modules(module_names: Iterable[str]) -> set[str]:
import importlib.util
return {
module_name
for module_name in module_names
if importlib.util.find_spec(module_name) is not None
}
def _drop_empty(data: dict[str, Any]) -> dict[str, Any]:
return {
key: value
for key, value in data.items()
if value not in (None, [], {}, "")
}

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@@ -5,8 +5,15 @@ from markitect_tool.query.engine import (
QueryMatch,
extract_document,
extract_document_jsonpath,
extract_document_with_engine,
query_document,
query_document_jsonpath,
query_document_with_engine,
)
from markitect_tool.query.registry import (
QueryEngine,
QueryEngineRegistry,
default_query_engine_registry,
)
__all__ = [
@@ -14,6 +21,11 @@ __all__ = [
"QueryMatch",
"extract_document",
"extract_document_jsonpath",
"extract_document_with_engine",
"query_document",
"query_document_jsonpath",
"query_document_with_engine",
"QueryEngine",
"QueryEngineRegistry",
"default_query_engine_registry",
]

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@@ -44,6 +44,29 @@ class _Selector:
def query_document(document: Document, selector: str) -> list[QueryMatch]:
"""Query a parsed document with a small Markitect selector."""
return query_document_with_engine(document, selector, engine="selector")
def query_document_with_engine(
document: Document,
selector: str,
*,
engine: str = "selector",
) -> list[QueryMatch]:
"""Query a parsed document through a registered query engine."""
from markitect_tool.query.registry import default_query_engine_registry
try:
query_engine = default_query_engine_registry().get(engine)
except ValueError as exc:
raise InvalidQueryError(str(exc)) from exc
return query_engine.query(document, selector)
def _query_document_selector(document: Document, selector: str) -> list[QueryMatch]:
"""Query a parsed document with the built-in selector engine."""
parsed = _parse_selector(selector)
if parsed.target in {"document", "$", "."}:
return [QueryMatch(kind="document", path="$", value=document.to_dict())]
@@ -67,6 +90,12 @@ def query_document_jsonpath(document: Document, expression: str) -> list[QueryMa
remains dependency-light. Install ``markitect-tool[query]`` to enable it.
"""
return query_document_with_engine(document, expression, engine="jsonpath")
def _query_document_jsonpath(document: Document, expression: str) -> list[QueryMatch]:
"""Implementation for the registered optional JSONPath engine."""
try:
from jsonpath_ng.ext import parse as parse_jsonpath
except ImportError as exc: # pragma: no cover - branch depends on env deps
@@ -110,14 +139,29 @@ def extract_document(document: Document, selector: str) -> list[str]:
return extracted
def extract_document_with_engine(
document: Document,
selector: str,
*,
engine: str = "selector",
) -> list[str]:
"""Extract textual query matches through a registered query engine."""
extracted: list[str] = []
for match in query_document_with_engine(document, selector, engine=engine):
if match.text is not None:
extracted.append(match.text)
elif isinstance(match.value, str):
extracted.append(match.value)
elif isinstance(match.value, int | float | bool):
extracted.append(str(match.value))
return extracted
def extract_document_jsonpath(document: Document, expression: str) -> list[str]:
"""Extract textual JSONPath matches from a parsed document."""
extracted: list[str] = []
for match in query_document_jsonpath(document, expression):
if match.text is not None:
extracted.append(match.text)
return extracted
return extract_document_with_engine(document, expression, engine="jsonpath")
def _parse_selector(selector: str) -> _Selector:

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@@ -0,0 +1,105 @@
"""Query engine registry adapters."""
from __future__ import annotations
from dataclasses import dataclass
from typing import Callable
from markitect_tool.core import Document
from markitect_tool.extension import (
ExtensionDescriptor,
ExtensionRegistry,
OptionalDependency,
ProcessingCapability,
)
from markitect_tool.query.engine import QueryMatch
QueryCallable = Callable[[Document, str], list[QueryMatch]]
@dataclass(frozen=True)
class QueryEngine:
"""Registered query engine implementation."""
descriptor: ExtensionDescriptor
query: QueryCallable
class QueryEngineRegistry:
"""Registry of query engines keyed by short engine id."""
def __init__(self, engines: list[QueryEngine] | None = None) -> None:
self._engines: dict[str, QueryEngine] = {}
for engine in engines or []:
self.register(engine)
def register(self, engine: QueryEngine) -> None:
if engine.descriptor.id in self._engines:
raise ValueError(f"Duplicate query engine `{engine.descriptor.id}`")
self._engines[engine.descriptor.id] = engine
def get(self, engine_id: str) -> QueryEngine:
try:
return self._engines[engine_id]
except KeyError as exc:
raise ValueError(f"Unknown query engine `{engine_id}`") from exc
def list(self) -> list[QueryEngine]:
return [self._engines[key] for key in sorted(self._engines)]
def extension_registry(self) -> ExtensionRegistry:
return ExtensionRegistry(engine.descriptor for engine in self.list())
def default_query_engine_registry() -> QueryEngineRegistry:
"""Return the built-in query engine registry."""
from markitect_tool.query.engine import (
_query_document_jsonpath,
_query_document_selector,
)
return QueryEngineRegistry(
[
QueryEngine(
descriptor=ExtensionDescriptor(
id="selector",
kind="query-engine",
summary="Compact Markitect selector engine.",
capabilities=[ProcessingCapability(id="ast", kind="read")],
input_contract="Document + selector",
output_contract="QueryMatch[]",
diagnostics_namespace="query",
provenance_prefix="query.selector",
cli={"commands": ["mkt query", "mkt extract", "mkt cache query"]},
docs=["docs/query-extraction.md"],
),
query=_query_document_selector,
),
QueryEngine(
descriptor=ExtensionDescriptor(
id="jsonpath",
kind="query-engine",
summary="Optional JSONPath engine over Document.to_dict().",
capabilities=[ProcessingCapability(id="ast", kind="read")],
optional_dependencies=[
OptionalDependency(
name="jsonpath_ng",
package="jsonpath-ng",
extra="query",
required=True,
purpose="Evaluate JSONPath expressions.",
)
],
input_contract="Document + JSONPath expression",
output_contract="QueryMatch[]",
diagnostics_namespace="query.jsonpath",
provenance_prefix="query.jsonpath",
cli={"commands": ["mkt query --engine jsonpath", "mkt extract --engine jsonpath"]},
docs=["docs/query-extraction.md", "docs/local-index-backend.md"],
),
query=_query_document_jsonpath,
),
]
)