Modwire

ModwireApplication

Public entry point for extraction, implementation manifests, architecture analysis, and the Modwire CLI.

create

Create an isolated application with all services resolved through Wireup.

configure

Validate architecture configuration values.

catalog

Return the available architecture reports.

analyze

Analyze a code map with a validated architecture configuration.

analyze_cached

Analyze a code map, reusing reports for an exact map and configuration identity.

analyze_cached_with_diagnostics

Analyze a code map and report the public outcome of report-cache reuse.

discover

Discover supported source languages beneath a root using the caller's scan policy.

generate_map

Extract one language and return its code map with honest scan metrics.

files_excluded counts only source files encountered and excluded directly. directories_pruned counts directories rejected before descent; their descendants are deliberately unobserved and are not included in file counts.

generate_queryable_map

Extract source files and return a queryable code map.

generate_map_cached

Return a code map with content-addressed source and complete-source-set reuse.

generate_map_cached_with_diagnostics

Return a code map and public outcomes for extraction and complete-map reuse.

generate_queryable_map_cached

Return a queryable code map with content-addressed persistent reuse.

generate_queryable_map_cached_with_diagnostics

Return a queryable code map and public outcomes for every applicable cache stage.

implementation_manifest

Publish a deterministic, provenance-bearing implementation manifest.

implementation_manifest_formats

Return the implementation-manifest formats registered in this application.

read_implementation_manifest

Read and canonically validate a serialized implementation manifest.

clear_cache

Clear only the Modwire-owned directory for one cache namespace.

load_configuration

Load and validate an architecture configuration from a directory.

initialize

Create project-local Modwire configuration and agent guidance.

generate_documentation

Generate this README from the published interface docstrings, or check that it is current.

run_extractor

Run the native extractor transport for one supported language.

run

Run the Modwire command line interface and return its process status.

CacheStage

Public stages reported by cached Modwire operations.

CacheOutcome

Content-safe lifecycle counts for one stage of a cached operation.

Extraction counts describe current source records. An exact code-map hit reports its digest-backed source-set entries as extraction hits without loading individual source payloads. Code-map and report counts describe one entry. Invalidated entries are also misses. Diagnostics include the configured namespace but never cache keys, source identities, or content.

CachedResult

A cached operation value together with one outcome per applicable stage.

outcome

Return the outcome for one applicable cache stage.

CacheOptions

Generic persistent-cache settings supplied by a caller.

ScanPolicy

Caller-owned filesystem traversal policy with explicit exclusions and opt-in symlink following.

ImplementationManifest

A versioned, language-neutral statement of observed implementation facts and provenance.

validate_facts

Validate canonical ordering, identity uniqueness, and fact references.

ImplementationManifestDocument

!!! abstract "Usage Documentation" Models

A base class for creating Pydantic models.

Attributes: class_vars: The names of the class variables defined on the model. private_attributes: Metadata about the private attributes of the model. signature: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom `__init__` function.
__pydantic_decorators__: Metadata containing the decorators defined on the model.
    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.
__pydantic_generic_metadata__: A dictionary containing metadata about generic Pydantic models.
    The `origin` and `args` items map to the [`__origin__`][genericalias.__origin__]
    and [`__args__`][genericalias.__args__] attributes of [generic aliases][types-genericalias],
    and the `parameter` item maps to the `__parameter__` attribute of generic classes.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel].
__pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model.
__pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra]
    is set to `'allow'`.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

verify_digest

Return whether the payload matches the declared digest.

validate_digest

Validate that the document digest covers its exact serialized payload.

ManifestFormat

!!! abstract "Usage Documentation" Models

A base class for creating Pydantic models.

Attributes: class_vars: The names of the class variables defined on the model. private_attributes: Metadata about the private attributes of the model. signature: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom `__init__` function.
__pydantic_decorators__: Metadata containing the decorators defined on the model.
    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.
__pydantic_generic_metadata__: A dictionary containing metadata about generic Pydantic models.
    The `origin` and `args` items map to the [`__origin__`][genericalias.__origin__]
    and [`__args__`][genericalias.__args__] attributes of [generic aliases][types-genericalias],
    and the `parameter` item maps to the `__parameter__` attribute of generic classes.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel].
__pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model.
__pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra]
    is set to `'allow'`.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

DeclarationFamily

Enum where members are also (and must be) strings

DeclarationIdentity

!!! abstract "Usage Documentation" Models

A base class for creating Pydantic models.

Attributes: class_vars: The names of the class variables defined on the model. private_attributes: Metadata about the private attributes of the model. signature: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom `__init__` function.
__pydantic_decorators__: Metadata containing the decorators defined on the model.
    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.
__pydantic_generic_metadata__: A dictionary containing metadata about generic Pydantic models.
    The `origin` and `args` items map to the [`__origin__`][genericalias.__origin__]
    and [`__args__`][genericalias.__args__] attributes of [generic aliases][types-genericalias],
    and the `parameter` item maps to the `__parameter__` attribute of generic classes.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel].
__pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model.
__pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra]
    is set to `'allow'`.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

canonical

Return the stable source-qualified declaration identity.

DigestAlgorithm

Digest algorithms supported by implementation-manifest artifacts.

FactCapability

Versioned implementation fact families that an extractor can publish.

CapabilityStatus

Declared completeness of an extractor's support for a fact family.

CapabilityCoverage

An extractor's explicit support status for one implementation fact family.