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Mash Module API

Overview

The mash module is the read/retrieval layer for source data in GKC workflows.

It includes:

  • Generic Wikibase API retrieval via WikibaseApiClient
  • MediaWiki page wikitext retrieval and SPARQL-block extraction primitives
  • MashSourceAdapter plugin contract for source loader integrations
  • Wikidata loaders and template objects
  • Wikipedia template retrieval
  • Utility functions for template preparation, raw-to-write payload shaping, and label hydration

Use mash for reads and template shaping. Write operations belong in shipper.

Quick Start

from gkc.mash import WikibaseApiClient, WikibaseLoader

# Generic Wikibase read (works with Wikidata or Data Distillery API URLs)
api = WikibaseApiClient(api_url="https://www.wikidata.org/w/api.php")
entity = api.get_entity("Q42")

# Wikidata convenience loader
loader = WikibaseLoader()
template = loader.load_item("Q42")
print(template.summary())

Public API Quick Starts

WikibaseApiClient

from gkc.mash import WikibaseApiClient

client = WikibaseApiClient(api_url="https://datadistillery.wikibase.cloud/w/api.php")

results = client.search_entities(
    label="GKC Property Specification",
    entity_type="item",
    language="en",
    limit=5,
)

batch = client.get_entities(["Q1", "Q2"])
single = client.get_entity("Q1")

raw = client.request({"action": "query", "format": "json", "meta": "siteinfo"})
print(len(results), sorted(batch.keys()), single.get("id"), bool(raw))

WikibaseApiClient.get_and_transform_entity() provides a one-line bridge from raw entity retrieval to shipper-ready payload preparation for templating workflows.

WikibaseApiClient sends a default User-Agent header automatically when one is not provided. You can still pass a custom user_agent value in the constructor to override it for your workflow.

fetch_mediawiki_page_wikitext()

from gkc.mash import WikibaseApiClient, fetch_mediawiki_page_wikitext

api_client = WikibaseApiClient(api_url="https://datadistillery.wikibase.cloud/w/api.php")
wikitext = fetch_mediawiki_page_wikitext(api_client, "Item_talk:Q4")
print(wikitext[:200])

extract_sparql_blocks() and extract_first_sparql_block()

from gkc.mash import extract_first_sparql_block, extract_sparql_blocks

wikitext = """
<sparql>SELECT ?item ?itemLabel WHERE { ?item ?p ?o }</sparql>
<sparql>SELECT ?other WHERE { ?other ?p ?o }</sparql>
"""

all_blocks = extract_sparql_blocks(wikitext)
first_block = extract_first_sparql_block(wikitext)

print(len(all_blocks), first_block[:40])

DataTemplate (Protocol)

from dataclasses import dataclass
from gkc.mash import DataTemplate

@dataclass
class MinimalTemplate(DataTemplate):
    value: str

    def summary(self):
        return {"value": self.value}

    def to_dict(self):
        return {"value": self.value}

template = MinimalTemplate("example")
print(template.summary(), template.to_dict())

MashSourceAdapter (Protocol)

from gkc.mash import MashSourceAdapter, WikibaseMashSourceAdapter

adapter: MashSourceAdapter = WikibaseMashSourceAdapter()
print(adapter.source_name, adapter.can_load("Q42"))

WikibaseMashSourceAdapter

from gkc.mash import WikibaseMashSourceAdapter

adapter = WikibaseMashSourceAdapter()

single = adapter.load("Q42")
batch = adapter.load_many(["Q42", "P31", "E502"])

print(single.summary())
print(sorted(batch.keys()))

WikipediaMashSourceAdapter

from gkc.mash import WikipediaMashSourceAdapter

adapter = WikipediaMashSourceAdapter()
template = adapter.load("Template:Infobox settlement")

print(template.summary())

fetch_property_labels()

from gkc.mash import fetch_property_labels

labels = fetch_property_labels(["P31", "P279"], language="en")
print(labels)

strip_entity_identifiers()

from gkc.mash import strip_entity_identifiers

entity_data = {
    "id": "Q42",
    "lastrevid": 123,
    "claims": {"P31": [{"id": "Q42$abc", "mainsnak": {"hash": "h1"}}]},
}

shell = strip_entity_identifiers(entity_data)
print(shell)

flatten_entity_claims_for_write()

from gkc.mash import flatten_entity_claims_for_write

raw_claims = {
    "P31": [{"mainsnak": {"property": "P31"}}],
    "P279": [{"mainsnak": {"property": "P279"}}],
}

claims = flatten_entity_claims_for_write(raw_claims)
print(len(claims), claims[0]["mainsnak"]["property"])

Use this when you already have a stripped entity shell and only need to convert read-side claims mapping into the flat statement list accepted by shipper.

transform_entity_for_write()

from gkc.mash import transform_entity_for_write

raw_entity = api.get_entity("P31")

item_payload = transform_entity_for_write(
    raw_entity,
    target_entity_type="item",
)

property_payload = transform_entity_for_write(
    raw_entity,
    target_entity_type="property",
    property_datatype="wikibase-item",
)

print(item_payload.keys())
print(property_payload.keys())

This helper performs the full raw-to-write conversion for one entity:

  • strips create-blocking identifiers and hashes
  • removes top-level read-side fields like type, datatype, and sitelinks
  • converts raw claims dicts into the flat statement list expected by shipper
  • preserves labels, descriptions, aliases, statement rank, qualifiers, and references

When targeting a property payload, property_datatype is required unless the source entity is already a property and has a datatype that can be reused.

WikibaseApiClient.get_and_transform_entity()

from gkc.mash import WikibaseApiClient

api = WikibaseApiClient(api_url="https://datadistillery.wikibase.cloud/w/api.php")

payload = api.get_and_transform_entity(
    "P31",
    target_entity_type="item",
)

print(payload["labels"]["en"]["value"])

Use this convenience method when you want to fetch and convert in one step.

ClaimSummary

from gkc.mash import ClaimSummary

claim = ClaimSummary(property_id="P31", value="Q5", rank="normal")
print(claim.property_id, claim.value, claim.rank)

WikibaseItemTemplate

from gkc.mash import (
    WikibaseLoader,
    apply_item_property_filters,
    apply_template_language_filter,
)

loader = WikibaseLoader()
template = loader.load_item("Q42")

apply_item_property_filters(template, include_properties=["P31", "P21"])
template.filter_qualifiers()
template.filter_references()
apply_template_language_filter(template, ["en"])

print(template.summary())
print(template.to_dict().keys())
print(template.to_simple_dict().keys())
print(template.to_shell().keys())
print(template.to_qsv1(for_new_item=False)[:120])

try:
    template.to_gkc_entity_profile()
except NotImplementedError:
    pass

WikibasePropertyTemplate

from gkc.mash import WikibaseLoader, apply_template_language_filter

loader = WikibaseLoader()
prop = loader.load_property("P31")

apply_template_language_filter(prop, ["en"])
print(prop.summary())
print(prop.to_dict().keys())
print(prop.to_shell().keys())

try:
    prop.to_gkc_entity_profile()
except NotImplementedError:
    pass

WikibaseEntitySchemaTemplate

from gkc.mash import WikibaseLoader, apply_template_language_filter

loader = WikibaseLoader()
schema = loader.load_entity_schema("E502")

apply_template_language_filter(schema, ["en"])
print(schema.summary())
print(schema.to_dict().keys())
print(schema.to_shell().keys())

try:
    schema.to_gkc_entity_profile()
except NotImplementedError:
    pass

WikibaseLoader

from gkc.mash import WikibaseLoader

loader = WikibaseLoader(api_url="https://www.wikidata.org/w/api.php")

item = loader.load_item("Q42")
legacy = loader.load("Q42")  # Deprecated alias
batch = loader.load_items(["Q42", "Q5"])
prop = loader.load_property("P31")
schema = loader.load_entity_schema("E502")
raw_entity = loader.load_entity_data("Q42")

print(item.qid, legacy.qid, sorted(batch.keys()), prop.pid, schema.eid, raw_entity.get("id"))

WikipediaTemplate and WikipediaLoader

from gkc.mash import WikipediaLoader

loader = WikipediaLoader()
template = loader.load_template("Infobox settlement")

print(template.summary())
print(template.to_dict().keys())

API Reference (mkdocstrings)

WikibaseApiClient

Generic MediaWiki/Wikibase API helper.

Plain meaning: Reusable client for wbsearchentities and wbgetentities across Wikidata, Data Distillery, or any compatible Wikibase API endpoint.

Source code in gkc/mash/core.py 
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class WikibaseApiClient:
    """Generic MediaWiki/Wikibase API helper.

    Plain meaning: Reusable client for wbsearchentities and wbgetentities across
    Wikidata, Data Distillery, or any compatible Wikibase API endpoint.
    """

    def __init__(
        self,
        api_url: str = "https://www.wikidata.org/w/api.php",
        *,
        session: Optional[requests.Session] = None,
        user_agent: Optional[str] = None,
        timeout: int = 30,
    ):
        self.api_url = api_url
        self.timeout = timeout
        self.session = session or requests.Session()
        self.user_agent = user_agent or DEFAULT_USER_AGENT
        session_headers = getattr(self.session, "headers", None)
        if session_headers is None:
            try:
                setattr(self.session, "headers", {})
                session_headers = self.session.headers
            except Exception:
                session_headers = None

        if hasattr(session_headers, "update"):
            session_headers.update({"User-Agent": self.user_agent})

    def search_entities(
        self,
        *,
        label: str,
        entity_type: str,
        language: str,
        limit: int = 10,
    ) -> list[dict[str, Any]]:
        payload = self.request(
            {
                "action": "wbsearchentities",
                "format": "json",
                "search": label,
                "language": language,
                "type": entity_type,
                "limit": limit,
            }
        )
        return payload.get("search", [])

    def get_entities(self, entity_ids: list[str]) -> dict[str, dict[str, Any]]:
        if not entity_ids:
            return {}

        payload = self.request(
            {
                "action": "wbgetentities",
                "format": "json",
                "ids": "|".join(entity_ids),
            }
        )
        entities = payload.get("entities", {})
        if not isinstance(entities, dict):
            return {}

        return {
            eid: entity_data
            for eid, entity_data in entities.items()
            if isinstance(entity_data, dict) and "missing" not in entity_data
        }

    def get_entity(self, entity_id: str) -> dict[str, Any]:
        entities = self.get_entities([entity_id])
        if entity_id not in entities:
            raise RuntimeError(f"Entity '{entity_id}' not found")
        return entities[entity_id]

    def get_and_transform_entity(
        self,
        entity_id: str,
        *,
        target_entity_type: str = "item",
        property_datatype: Optional[str] = None,
    ) -> dict[str, Any]:
        """Fetch one entity and reshape it into a shipper-ready payload.

        Args:
            entity_id: Wikibase entity ID to fetch (for example ``Q42`` or ``P31``).
            target_entity_type: Target payload kind, either ``"item"`` or
                ``"property"``.
            property_datatype: Datatype to use when targeting a property payload.
                If omitted and the source entity is already a property, the source
                datatype is reused.

        Returns:
            A payload dictionary suitable for ``WikibaseShipper.write_item()`` or
            ``WikibaseShipper.write_property()`` payload input.

        Plain meaning: Fetch an entity and immediately convert it into a write
        payload for templating workflows.
        """

        entity_data = self.get_entity(entity_id)
        return transform_entity_for_write(
            entity_data,
            target_entity_type=target_entity_type,
            property_datatype=property_datatype,
        )

    def request(self, params: dict[str, Any]) -> dict[str, Any]:
        try:
            response = self.session.get(
                self.api_url,
                params=params,
                timeout=self.timeout,
            )
            response.raise_for_status()
        except requests.RequestException as exc:
            raise RuntimeError(f"Wikibase API request failed: {exc}") from exc

        try:
            payload = response.json()
        except ValueError as exc:
            raise RuntimeError("Wikibase API returned non-JSON response") from exc

        if "error" in payload:
            raise RuntimeError(f"Wikibase API returned error: {payload['error']}")

        return payload

get_and_transform_entity(entity_id, *, target_entity_type='item', property_datatype=None)

Fetch one entity and reshape it into a shipper-ready payload.

Parameters:

Name Type Description Default
entity_id str

Wikibase entity ID to fetch (for example Q42 or P31).

 required
target_entity_type str

Target payload kind, either "item" or "property".

 'item'
property_datatype Optional[str]

Datatype to use when targeting a property payload. If omitted and the source entity is already a property, the source datatype is reused.

 None

Returns:

Type Description
dict[str, Any]

A payload dictionary suitable for WikibaseShipper.write_item() or
dict[str, Any]

WikibaseShipper.write_property() payload input.

Plain meaning: Fetch an entity and immediately convert it into a write payload for templating workflows.

Source code in gkc/mash/core.py 
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def get_and_transform_entity(
    self,
    entity_id: str,
    *,
    target_entity_type: str = "item",
    property_datatype: Optional[str] = None,
) -> dict[str, Any]:
    """Fetch one entity and reshape it into a shipper-ready payload.

    Args:
        entity_id: Wikibase entity ID to fetch (for example ``Q42`` or ``P31``).
        target_entity_type: Target payload kind, either ``"item"`` or
            ``"property"``.
        property_datatype: Datatype to use when targeting a property payload.
            If omitted and the source entity is already a property, the source
            datatype is reused.

    Returns:
        A payload dictionary suitable for ``WikibaseShipper.write_item()`` or
        ``WikibaseShipper.write_property()`` payload input.

    Plain meaning: Fetch an entity and immediately convert it into a write
    payload for templating workflows.
    """

    entity_data = self.get_entity(entity_id)
    return transform_entity_for_write(
        entity_data,
        target_entity_type=target_entity_type,
        property_datatype=property_datatype,
    )

fetch_mediawiki_page_wikitext()

Fetch page wikitext from a MediaWiki API endpoint.

Parameters:

Name Type Description Default
api_client WikibaseApiClient

Configured Wikibase/MediaWiki API client.

 required
title str

Full page title (for example, Item_talk:Q4).

 required

Returns:

Type Description
str

Page wikitext as a string.

Raises:

Type Description
RuntimeError

If page content is missing or cannot be parsed.
Source code in gkc/mash/core.py 
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def fetch_mediawiki_page_wikitext(api_client: WikibaseApiClient, title: str) -> str:
    """Fetch page wikitext from a MediaWiki API endpoint.

    Args:
        api_client: Configured Wikibase/MediaWiki API client.
        title: Full page title (for example, ``Item_talk:Q4``).

    Returns:
        Page wikitext as a string.

    Raises:
        RuntimeError: If page content is missing or cannot be parsed.
    """
    payload = api_client.request(
        {
            "action": "query",
            "format": "json",
            "formatversion": 2,
            "prop": "revisions",
            "rvprop": "content",
            "rvslots": "main",
            "titles": title,
        }
    )

    pages = payload.get("query", {}).get("pages", [])
    if not isinstance(pages, list) or not pages:
        raise RuntimeError(f"MediaWiki page '{title}' not found")

    page = pages[0]
    if not isinstance(page, dict) or page.get("missing"):
        raise RuntimeError(f"MediaWiki page '{title}' not found")

    revisions = page.get("revisions", [])
    if not isinstance(revisions, list) or not revisions:
        raise RuntimeError(f"No revision content found for page '{title}'")

    revision = revisions[0]
    if not isinstance(revision, dict):
        raise RuntimeError(f"Invalid revision payload for page '{title}'")

    slots = revision.get("slots", {})
    main_slot = slots.get("main") if isinstance(slots, dict) else None
    if isinstance(main_slot, dict):
        content = main_slot.get("content")
        if isinstance(content, str):
            return content

    # Backward compatibility for installations using legacy '*' content key.
    content = revision.get("*")
    if isinstance(content, str):
        return content

    raise RuntimeError(f"No wikitext content found for page '{title}'")

extract_sparql_blocks()

Extract SPARQL blocks from wikitext in source order.

Source code in gkc/mash/core.py 
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def extract_sparql_blocks(wikitext: str) -> list[str]:
    """Extract SPARQL blocks from wikitext in source order."""
    blocks: list[str] = []
    for match in _SPARQL_BLOCK_PATTERN.findall(wikitext):
        snippet = match.strip()
        if snippet:
            blocks.append(snippet)
    return blocks

extract_first_sparql_block()

Return the first SPARQL block from wikitext.

Raises:

Type Description
RuntimeError

If no <sparql>...</sparql> block exists.
Source code in gkc/mash/core.py 
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def extract_first_sparql_block(wikitext: str) -> str:
    """Return the first SPARQL block from wikitext.

    Raises:
        RuntimeError: If no ``<sparql>...</sparql>`` block exists.
    """
    blocks = extract_sparql_blocks(wikitext)
    if not blocks:
        raise RuntimeError("No <sparql> block found in page content")
    return blocks[0]

DataTemplate

Bases: Protocol

Abstract interface for all data templates in the mash module.

All template types (Wikidata, CSV, JSON, etc.) should implement this protocol to ensure consistent behavior across different data sources.

This protocol defines the minimum interface that templates must provide: - summary(): Return a dict with basic metadata about the template - to_dict(): Serialize the template to a dictionary

Future template implementations should follow this pattern to ensure compatibility with formatters and other downstream components.

Plain meaning: The blueprint that all data templates must follow.

Source code in gkc/mash/core.py 
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class DataTemplate(Protocol):
    """Abstract interface for all data templates in the mash module.

    All template types (Wikidata, CSV, JSON, etc.) should implement this
    protocol to ensure consistent behavior across different data sources.

    This protocol defines the minimum interface that templates must provide:
    - summary(): Return a dict with basic metadata about the template
    - to_dict(): Serialize the template to a dictionary

    Future template implementations should follow this pattern to ensure
    compatibility with formatters and other downstream components.

    Plain meaning: The blueprint that all data templates must follow.
    """

    def summary(self) -> dict[str, Any]:
        """Return a summary of the template for display.

        Plain meaning: Get a quick overview without full details.
        """
        ...

    def to_dict(self) -> dict[str, Any]:
        """Serialize to a dictionary.

        Plain meaning: Return the original entity JSON for round-trip safety.
        """
        ...

summary()

Return a summary of the template for display.

Plain meaning: Get a quick overview without full details.

Source code in gkc/mash/core.py 
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def summary(self) -> dict[str, Any]:
    """Return a summary of the template for display.

    Plain meaning: Get a quick overview without full details.
    """
    ...

to_dict()

Serialize to a dictionary.

Plain meaning: Return the original entity JSON for round-trip safety.

Source code in gkc/mash/core.py 
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def to_dict(self) -> dict[str, Any]:
    """Serialize to a dictionary.

    Plain meaning: Return the original entity JSON for round-trip safety.
    """
    ...

MashSourceAdapter

Bases: Protocol

Contract for mash source adapters.

A source adapter handles loading one or more source references and returning templates that satisfy the DataTemplate protocol.

Source code in gkc/mash/protocols.py 
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@runtime_checkable
class MashSourceAdapter(Protocol):
    """Contract for mash source adapters.

    A source adapter handles loading one or more source references and returning
    templates that satisfy the ``DataTemplate`` protocol.
    """

    source_name: str

    def can_load(self, source_ref: str) -> bool:
        """Return True when this adapter can load the provided source reference."""

    def load(self, source_ref: str) -> DataTemplate:
        """Load one source reference into a template."""

    def load_many(self, source_refs: list[str]) -> dict[str, DataTemplate]:
        """Load multiple source references into templates keyed by source ref."""

can_load(source_ref)

Return True when this adapter can load the provided source reference.

Source code in gkc/mash/protocols.py 
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def can_load(self, source_ref: str) -> bool:
    """Return True when this adapter can load the provided source reference."""

load(source_ref)

Load one source reference into a template.

Source code in gkc/mash/protocols.py 
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def load(self, source_ref: str) -> DataTemplate:
    """Load one source reference into a template."""

load_many(source_refs)

Load multiple source references into templates keyed by source ref.

Source code in gkc/mash/protocols.py 
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def load_many(self, source_refs: list[str]) -> dict[str, DataTemplate]:
    """Load multiple source references into templates keyed by source ref."""

WikibaseMashSourceAdapter

Bases: MashSourceAdapter

Mash source adapter for Wikibase entity references.

Supports item/property/schema IDs and delegates loading to WikibaseLoader.

Source code in gkc/mash/core.py 
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class WikibaseMashSourceAdapter(MashSourceAdapter):
    """Mash source adapter for Wikibase entity references.

    Supports item/property/schema IDs and delegates loading to ``WikibaseLoader``.
    """

    source_name = "wikibase"

    def __init__(self, loader: Optional[WikibaseLoader] = None):
        self.loader = loader or WikibaseLoader()

    @staticmethod
    def _is_wikibase_entity_ref(source_ref: str) -> bool:
        if not source_ref or len(source_ref) < 2:
            return False

        prefix = source_ref[0]
        suffix = source_ref[1:]
        return prefix in {"Q", "P", "E"} and suffix.isdigit()

    def can_load(self, source_ref: str) -> bool:
        """Return True for Wikibase entity IDs (Q/P/E)."""
        return self._is_wikibase_entity_ref(source_ref)

    def load(self, source_ref: str) -> DataTemplate:
        """Load a Wikibase entity ID into the appropriate template type."""
        if not self.can_load(source_ref):
            raise ValueError(
                f"WikibaseMashSourceAdapter cannot load source reference: {source_ref}"
            )

        prefix = source_ref[0]
        if prefix == "Q":
            return self.loader.load_item(source_ref)
        if prefix == "P":
            return self.loader.load_property(source_ref)
        if prefix == "E":
            return self.loader.load_entity_schema(source_ref)

        raise ValueError(f"Unsupported Wikibase entity reference: {source_ref}")

    def load_many(self, source_refs: list[str]) -> dict[str, DataTemplate]:
        """Load multiple Wikibase references into templates keyed by source ref."""
        if not source_refs:
            return {}

        invalid_refs = [
            source_ref for source_ref in source_refs if not self.can_load(source_ref)
        ]
        if invalid_refs:
            raise ValueError(
                f"Invalid Wikibase source references: {', '.join(invalid_refs)}"
            )

        loaded: dict[str, DataTemplate] = {}

        qids = [source_ref for source_ref in source_refs if source_ref.startswith("Q")]
        if qids:
            loaded.update(self.loader.load_items(qids))

        for source_ref in source_refs:
            if source_ref in loaded:
                continue
            loaded[source_ref] = self.load(source_ref)

        return loaded

can_load(source_ref)

Return True for Wikibase entity IDs (Q/P/E).

Source code in gkc/mash/core.py 
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def can_load(self, source_ref: str) -> bool:
    """Return True for Wikibase entity IDs (Q/P/E)."""
    return self._is_wikibase_entity_ref(source_ref)

load(source_ref)

Load a Wikibase entity ID into the appropriate template type.

Source code in gkc/mash/core.py 
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def load(self, source_ref: str) -> DataTemplate:
    """Load a Wikibase entity ID into the appropriate template type."""
    if not self.can_load(source_ref):
        raise ValueError(
            f"WikibaseMashSourceAdapter cannot load source reference: {source_ref}"
        )

    prefix = source_ref[0]
    if prefix == "Q":
        return self.loader.load_item(source_ref)
    if prefix == "P":
        return self.loader.load_property(source_ref)
    if prefix == "E":
        return self.loader.load_entity_schema(source_ref)

    raise ValueError(f"Unsupported Wikibase entity reference: {source_ref}")

load_many(source_refs)

Load multiple Wikibase references into templates keyed by source ref.

Source code in gkc/mash/core.py 
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def load_many(self, source_refs: list[str]) -> dict[str, DataTemplate]:
    """Load multiple Wikibase references into templates keyed by source ref."""
    if not source_refs:
        return {}

    invalid_refs = [
        source_ref for source_ref in source_refs if not self.can_load(source_ref)
    ]
    if invalid_refs:
        raise ValueError(
            f"Invalid Wikibase source references: {', '.join(invalid_refs)}"
        )

    loaded: dict[str, DataTemplate] = {}

    qids = [source_ref for source_ref in source_refs if source_ref.startswith("Q")]
    if qids:
        loaded.update(self.loader.load_items(qids))

    for source_ref in source_refs:
        if source_ref in loaded:
            continue
        loaded[source_ref] = self.load(source_ref)

    return loaded

WikipediaMashSourceAdapter

Bases: MashSourceAdapter

Mash source adapter for Wikipedia template references.

Source code in gkc/mash/core.py 
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class WikipediaMashSourceAdapter(MashSourceAdapter):
    """Mash source adapter for Wikipedia template references."""

    source_name = "wikipedia-template"

    def __init__(self, loader: Optional[WikipediaLoader] = None):
        self.loader = loader or WikipediaLoader()

    @staticmethod
    def _normalize_template_name(source_ref: str) -> str:
        name = source_ref.strip()
        if name.startswith("Template:"):
            return name.removeprefix("Template:")
        return name

    def can_load(self, source_ref: str) -> bool:
        """Return True for non-empty template references."""
        return bool(source_ref and source_ref.strip())

    def load(self, source_ref: str) -> WikipediaTemplate:
        """Load a Wikipedia template by name."""
        if not self.can_load(source_ref):
            raise ValueError(
                "WikipediaMashSourceAdapter requires a non-empty template reference"
            )

        template_name = self._normalize_template_name(source_ref)
        return self.loader.load_template(template_name)

    def load_many(self, source_refs: list[str]) -> dict[str, WikipediaTemplate]:
        """Load multiple Wikipedia templates keyed by the original source ref."""
        loaded: dict[str, WikipediaTemplate] = {}
        for source_ref in source_refs:
            loaded[source_ref] = self.load(source_ref)
        return loaded

can_load(source_ref)

Return True for non-empty template references.

Source code in gkc/mash/core.py 
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def can_load(self, source_ref: str) -> bool:
    """Return True for non-empty template references."""
    return bool(source_ref and source_ref.strip())

load(source_ref)

Load a Wikipedia template by name.

Source code in gkc/mash/core.py 
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def load(self, source_ref: str) -> WikipediaTemplate:
    """Load a Wikipedia template by name."""
    if not self.can_load(source_ref):
        raise ValueError(
            "WikipediaMashSourceAdapter requires a non-empty template reference"
        )

    template_name = self._normalize_template_name(source_ref)
    return self.loader.load_template(template_name)

load_many(source_refs)

Load multiple Wikipedia templates keyed by the original source ref.

Source code in gkc/mash/core.py 
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def load_many(self, source_refs: list[str]) -> dict[str, WikipediaTemplate]:
    """Load multiple Wikipedia templates keyed by the original source ref."""
    loaded: dict[str, WikipediaTemplate] = {}
    for source_ref in source_refs:
        loaded[source_ref] = self.load(source_ref)
    return loaded

fetch_property_labels()

Fetch human-readable labels for Wikidata properties using SPARQL.

Parameters:

Name Type Description Default
property_ids list[str]

List of property IDs (e.g., ['P31', 'P21']).

 required
language Optional[str]

Language code for labels (defaults to package configuration).

 None

Returns:

Type Description
dict[str, str]

Dict mapping property IDs to their labels (e.g., {'P31': 'instance of'}).

Plain meaning: Look up property names efficiently to make QS output more readable.

Source code in gkc/mash/core.py 
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def fetch_property_labels(
    property_ids: list[str], language: Optional[str] = None
) -> dict[str, str]:
    """Fetch human-readable labels for Wikidata properties using SPARQL.

    Args:
        property_ids: List of property IDs (e.g., ['P31', 'P21']).
        language: Language code for labels (defaults to package configuration).

    Returns:
        Dict mapping property IDs to their labels (e.g., {'P31': 'instance of'}).

    Plain meaning: Look up property names efficiently to make QS output more readable.
    """
    if not property_ids:
        return {}
    if language is None:
        import gkc

        languages = gkc.get_languages()
        if languages == "all":
            language = "en"
        elif isinstance(languages, str):
            language = languages
        else:
            language = languages[0] if languages else "en"
    return fetch_entity_labels(property_ids, languages=[language])

strip_entity_identifiers()

Return a copy of entity data with identifiers stripped for new-item use.

Removes fields that prevent using the JSON as a new item template: - Item-level: id, pageid, lastrevid, modified, ns, title - Statement-level: id (statement GUID) - Snak-level: hash (in mainsnak, qualifiers, and references)

Plain meaning: Remove IDs that prevent using the JSON as a new item template.

Source code in gkc/mash/core.py 
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def strip_entity_identifiers(entity_data: dict[str, Any]) -> dict[str, Any]:
    """Return a copy of entity data with identifiers stripped for new-item use.

    Removes fields that prevent using the JSON as a new item template:
    - Item-level: id, pageid, lastrevid, modified, ns, title
    - Statement-level: id (statement GUID)
    - Snak-level: hash (in mainsnak, qualifiers, and references)

    Plain meaning: Remove IDs that prevent using the JSON as a new item template.
    """

    cleaned = copy.deepcopy(entity_data)

    # Remove item-level identifiers and metadata
    cleaned.pop("id", None)
    cleaned.pop("pageid", None)
    cleaned.pop("lastrevid", None)
    cleaned.pop("modified", None)
    cleaned.pop("ns", None)
    cleaned.pop("title", None)

    # Remove statement-level identifiers and hashes
    claims = cleaned.get("claims")
    if isinstance(claims, dict):
        for statements in claims.values():
            if not isinstance(statements, list):
                continue
            for statement in statements:
                if isinstance(statement, dict):
                    statement.pop("id", None)

                    # Remove hash from mainsnak
                    mainsnak = statement.get("mainsnak")
                    if isinstance(mainsnak, dict):
                        mainsnak.pop("hash", None)

                    # Remove hash from qualifiers
                    qualifiers = statement.get("qualifiers")
                    if isinstance(qualifiers, dict):
                        for qualifier_snaks in qualifiers.values():
                            if isinstance(qualifier_snaks, list):
                                for snak in qualifier_snaks:
                                    if isinstance(snak, dict):
                                        snak.pop("hash", None)

                    # Remove hash from references
                    references = statement.get("references")
                    if isinstance(references, list):
                        for reference in references:
                            if isinstance(reference, dict):
                                reference.pop("hash", None)
                                ref_snaks = reference.get("snaks")
                                if isinstance(ref_snaks, dict):
                                    for ref_snak_list in ref_snaks.values():
                                        if isinstance(ref_snak_list, list):
                                            for snak in ref_snak_list:
                                                if isinstance(snak, dict):
                                                    snak.pop("hash", None)

    return cleaned

flatten_entity_claims_for_write()

Flatten raw Wikibase claims into wbeditentity write-payload claim list.

Parameters:

Name Type Description Default
raw_claims Any

Claims structure from wbgetentities or a list of already flattened statement dictionaries.

 required

Returns:

Type Description
list[dict[str, Any]]

A deep-copied list of statement dictionaries in the shape expected by
list[dict[str, Any]]

shipper payload validation.

Plain meaning: Convert read-side claims mapping into the flat statement list used for writes.

Source code in gkc/mash/core.py 
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def flatten_entity_claims_for_write(raw_claims: Any) -> list[dict[str, Any]]:
    """Flatten raw Wikibase claims into wbeditentity write-payload claim list.

    Args:
        raw_claims: Claims structure from ``wbgetentities`` or a list of already
            flattened statement dictionaries.

    Returns:
        A deep-copied list of statement dictionaries in the shape expected by
        shipper payload validation.

    Plain meaning: Convert read-side claims mapping into the flat statement list
    used for writes.
    """

    flattened: list[dict[str, Any]] = []

    if isinstance(raw_claims, dict):
        for statement_list in raw_claims.values():
            if not isinstance(statement_list, list):
                continue
            for statement in statement_list:
                if isinstance(statement, dict):
                    flattened.append(copy.deepcopy(statement))
        return flattened

    if isinstance(raw_claims, list):
        for statement in raw_claims:
            if isinstance(statement, dict):
                flattened.append(copy.deepcopy(statement))

    return flattened

transform_entity_for_write()

Convert raw wbgetentities JSON into a shipper-ready payload.

Parameters:

Name Type Description Default
entity_data dict[str, Any]

Raw entity JSON for a single entity from wbgetentities.

 required
target_entity_type str

Target payload kind, either "item" or "property".

 'item'
property_datatype Optional[str]

Datatype to use when targeting a property payload. If omitted and the source entity is already a property, the source datatype is reused for validation purposes.

 None

Returns:

Type Description
dict[str, Any]

A deep-copied payload dictionary suitable for the payload argument of
dict[str, Any]

WikibaseShipper.write_item() or WikibaseShipper.write_property().

Raises:

Type Description
ValueError

If target_entity_type is invalid or if a property target is requested without a datatype that can be resolved.

Plain meaning: Turn one raw entity response into a reusable write payload.

Source code in gkc/mash/core.py 
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def transform_entity_for_write(
    entity_data: dict[str, Any],
    *,
    target_entity_type: str = "item",
    property_datatype: Optional[str] = None,
) -> dict[str, Any]:
    """Convert raw ``wbgetentities`` JSON into a shipper-ready payload.

    Args:
        entity_data: Raw entity JSON for a single entity from ``wbgetentities``.
        target_entity_type: Target payload kind, either ``"item"`` or
            ``"property"``.
        property_datatype: Datatype to use when targeting a property payload.
            If omitted and the source entity is already a property, the source
            datatype is reused for validation purposes.

    Returns:
        A deep-copied payload dictionary suitable for the ``payload`` argument of
        ``WikibaseShipper.write_item()`` or ``WikibaseShipper.write_property()``.

    Raises:
        ValueError: If ``target_entity_type`` is invalid or if a property target
            is requested without a datatype that can be resolved.

    Plain meaning: Turn one raw entity response into a reusable write payload.
    """

    normalized_target_entity_type = str(target_entity_type).strip().lower()
    if normalized_target_entity_type not in {"item", "property"}:
        raise ValueError("target_entity_type must be either 'item' or 'property'")

    source_entity_type = entity_data.get("type")
    source_datatype = entity_data.get("datatype")
    resolved_property_datatype = property_datatype

    if normalized_target_entity_type == "property":
        if not resolved_property_datatype and source_entity_type == "property":
            if isinstance(source_datatype, str) and source_datatype.strip():
                resolved_property_datatype = source_datatype

        if (
            not isinstance(resolved_property_datatype, str)
            or not resolved_property_datatype.strip()
        ):
            raise ValueError(
                "property_datatype is required when transforming a non-property "
                "entity into a property payload"
            )

        resolved_property_datatype = canonicalize_wikibase_datatype(
            resolved_property_datatype
        )

    transformed = strip_entity_identifiers(entity_data)
    transformed.pop("type", None)
    transformed.pop("datatype", None)
    transformed.pop("sitelinks", None)

    flattened_claims = flatten_entity_claims_for_write(transformed.get("claims"))
    if flattened_claims:
        transformed["claims"] = flattened_claims
    else:
        transformed.pop("claims", None)

    return transformed

ClaimSummary

Simplified representation of a Wikidata claim for display and export.

Plain meaning: A simple view of a claim without requiring RDF knowledge.

Source code in gkc/mash/core.py 
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@dataclass
class ClaimSummary:
    """Simplified representation of a Wikidata claim for display and export.

    Plain meaning: A simple view of a claim without requiring RDF knowledge.
    """

    property_id: str
    value: str
    qualifiers: list[dict] = field(default_factory=list)
    references: list[dict] = field(default_factory=list)
    rank: str = "normal"
    value_metadata: Optional[dict[str, Any]] = None

WikibaseItemTemplate

An extracted Wikidata item ready for filtering and export.

This is the Wikidata-specific implementation of the DataTemplate protocol.

Plain meaning: A loaded Wikidata item template ready for modification.

Source code in gkc/mash/core.py 
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@dataclass
class WikibaseItemTemplate:
    """An extracted Wikidata item ready for filtering and export.

    This is the Wikidata-specific implementation of the DataTemplate protocol.

    Plain meaning: A loaded Wikidata item template ready for modification.
    """

    qid: str
    labels: dict[str, str]
    descriptions: dict[str, str]
    aliases: dict[str, list[str]]
    claims: list[ClaimSummary]
    entity_data: dict[str, Any]

    def filter_qualifiers(self) -> None:
        """Remove all qualifiers from claims in-place.

        Plain meaning: Strip qualifier detail from claims.
        """

        for claim in self.claims:
            claim.qualifiers = []

        claims = self.entity_data.get("claims")
        if isinstance(claims, dict):
            for statements in claims.values():
                if not isinstance(statements, list):
                    continue
                for statement in statements:
                    if isinstance(statement, dict):
                        statement.pop("qualifiers", None)
                        statement.pop("qualifiers-order", None)

    def filter_references(self) -> None:
        """Remove all references from claims in-place.

        Plain meaning: Strip reference detail from claims.
        """

        for claim in self.claims:
            claim.references = []

        claims = self.entity_data.get("claims")
        if isinstance(claims, dict):
            for statements in claims.values():
                if not isinstance(statements, list):
                    continue
                for statement in statements:
                    if isinstance(statement, dict):
                        statement.pop("references", None)

    def summary(self) -> dict[str, Any]:
        """Return a summary of the template for display.

        Plain meaning: Get a quick overview without full details.
        """

        return {
            "qid": self.qid,
            "labels": self.labels,
            "descriptions": self.descriptions,
            "total_statements": len(self.claims),
            "aliases": self.aliases,
        }

    def to_dict(self) -> dict[str, Any]:
        """Serialize to a dictionary.

        Plain meaning: Convert to a form suitable for JSON export.
        """

        return copy.deepcopy(self.entity_data)

    def to_simple_dict(self) -> dict[str, Any]:
        """Serialize to a simplified dictionary.

        Plain meaning: Convert to a compact summary structure.
        """

        return {
            "qid": self.qid,
            "labels": self.labels,
            "descriptions": self.descriptions,
            "aliases": self.aliases,
            "claims": [
                {
                    "property_id": c.property_id,
                    "value": c.value,
                    "qualifiers": c.qualifiers,
                    "references": c.references,
                    "rank": c.rank,
                }
                for c in self.claims
            ],
        }

    def to_shell(self) -> dict[str, Any]:
        """Strip identifiers and metadata to create a shell for new item creation.

        Returns entity data with all system IDs, metadata, and hashes removed,
        suitable for use as a template for creating new items.

        Returns:
            Dict with identifiers stripped, ready for new item creation.

        Plain meaning: Prepare this template as a clean shell for a new item.
        """
        return strip_entity_identifiers(self.entity_data)

    def to_qsv1(
        self, for_new_item: bool = False, entity_labels: Optional[dict[str, str]] = None
    ) -> str:
        """Convert to QuickStatements V1 format.

        Args:
            for_new_item: If True, use CREATE/LAST syntax for new items.
                         If False, use the item's QID for updates.
            entity_labels: Optional dict mapping entity IDs to labels for comments.

        Returns:
            QuickStatements V1 formatted string.

        Plain meaning: Export as QuickStatements commands for bulk operations.
        """
        from gkc.mash_formatters import QSV1Formatter

        formatter = QSV1Formatter(entity_labels=entity_labels or {})
        return formatter.format(self, for_new_item=for_new_item)

    def to_gkc_entity_profile(self) -> dict[str, Any]:
        """Convert to GKC Entity Profile format.

        Returns:
            Dict representing the GKC Entity Profile.

        Raises:
            NotImplementedError: This transformation is not yet implemented for items.

        Plain meaning: Transform into a GKC Entity Profile (not yet implemented).
        """
        raise NotImplementedError(
            "Item to GKC Entity Profile transformation is not yet implemented. "
            "This will be added in a future version."
        )

filter_qualifiers()

Remove all qualifiers from claims in-place.

Plain meaning: Strip qualifier detail from claims.

Source code in gkc/mash/core.py 
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def filter_qualifiers(self) -> None:
    """Remove all qualifiers from claims in-place.

    Plain meaning: Strip qualifier detail from claims.
    """

    for claim in self.claims:
        claim.qualifiers = []

    claims = self.entity_data.get("claims")
    if isinstance(claims, dict):
        for statements in claims.values():
            if not isinstance(statements, list):
                continue
            for statement in statements:
                if isinstance(statement, dict):
                    statement.pop("qualifiers", None)
                    statement.pop("qualifiers-order", None)

filter_references()

Remove all references from claims in-place.

Plain meaning: Strip reference detail from claims.

Source code in gkc/mash/core.py 
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def filter_references(self) -> None:
    """Remove all references from claims in-place.

    Plain meaning: Strip reference detail from claims.
    """

    for claim in self.claims:
        claim.references = []

    claims = self.entity_data.get("claims")
    if isinstance(claims, dict):
        for statements in claims.values():
            if not isinstance(statements, list):
                continue
            for statement in statements:
                if isinstance(statement, dict):
                    statement.pop("references", None)

summary()

Return a summary of the template for display.

Plain meaning: Get a quick overview without full details.

Source code in gkc/mash/core.py 
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def summary(self) -> dict[str, Any]:
    """Return a summary of the template for display.

    Plain meaning: Get a quick overview without full details.
    """

    return {
        "qid": self.qid,
        "labels": self.labels,
        "descriptions": self.descriptions,
        "total_statements": len(self.claims),
        "aliases": self.aliases,
    }

to_dict()

Serialize to a dictionary.

Plain meaning: Convert to a form suitable for JSON export.

Source code in gkc/mash/core.py 
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def to_dict(self) -> dict[str, Any]:
    """Serialize to a dictionary.

    Plain meaning: Convert to a form suitable for JSON export.
    """

    return copy.deepcopy(self.entity_data)

to_gkc_entity_profile()

Convert to GKC Entity Profile format.

Returns:

Type Description
dict[str, Any]

Dict representing the GKC Entity Profile.

Raises:

Type Description
NotImplementedError

This transformation is not yet implemented for items.

Plain meaning: Transform into a GKC Entity Profile (not yet implemented).

Source code in gkc/mash/core.py 
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def to_gkc_entity_profile(self) -> dict[str, Any]:
    """Convert to GKC Entity Profile format.

    Returns:
        Dict representing the GKC Entity Profile.

    Raises:
        NotImplementedError: This transformation is not yet implemented for items.

    Plain meaning: Transform into a GKC Entity Profile (not yet implemented).
    """
    raise NotImplementedError(
        "Item to GKC Entity Profile transformation is not yet implemented. "
        "This will be added in a future version."
    )

to_qsv1(for_new_item=False, entity_labels=None)

Convert to QuickStatements V1 format.

Parameters:

Name Type Description Default
for_new_item bool

If True, use CREATE/LAST syntax for new items. If False, use the item's QID for updates.

 False
entity_labels Optional[dict[str, str]]

Optional dict mapping entity IDs to labels for comments.

 None

Returns:

Type Description
str

QuickStatements V1 formatted string.

Plain meaning: Export as QuickStatements commands for bulk operations.

Source code in gkc/mash/core.py 
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def to_qsv1(
    self, for_new_item: bool = False, entity_labels: Optional[dict[str, str]] = None
) -> str:
    """Convert to QuickStatements V1 format.

    Args:
        for_new_item: If True, use CREATE/LAST syntax for new items.
                     If False, use the item's QID for updates.
        entity_labels: Optional dict mapping entity IDs to labels for comments.

    Returns:
        QuickStatements V1 formatted string.

    Plain meaning: Export as QuickStatements commands for bulk operations.
    """
    from gkc.mash_formatters import QSV1Formatter

    formatter = QSV1Formatter(entity_labels=entity_labels or {})
    return formatter.format(self, for_new_item=for_new_item)

to_shell()

Strip identifiers and metadata to create a shell for new item creation.

Returns entity data with all system IDs, metadata, and hashes removed, suitable for use as a template for creating new items.

Returns:

Type Description
dict[str, Any]

Dict with identifiers stripped, ready for new item creation.

Plain meaning: Prepare this template as a clean shell for a new item.

Source code in gkc/mash/core.py 
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def to_shell(self) -> dict[str, Any]:
    """Strip identifiers and metadata to create a shell for new item creation.

    Returns entity data with all system IDs, metadata, and hashes removed,
    suitable for use as a template for creating new items.

    Returns:
        Dict with identifiers stripped, ready for new item creation.

    Plain meaning: Prepare this template as a clean shell for a new item.
    """
    return strip_entity_identifiers(self.entity_data)

to_simple_dict()

Serialize to a simplified dictionary.

Plain meaning: Convert to a compact summary structure.

Source code in gkc/mash/core.py 
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def to_simple_dict(self) -> dict[str, Any]:
    """Serialize to a simplified dictionary.

    Plain meaning: Convert to a compact summary structure.
    """

    return {
        "qid": self.qid,
        "labels": self.labels,
        "descriptions": self.descriptions,
        "aliases": self.aliases,
        "claims": [
            {
                "property_id": c.property_id,
                "value": c.value,
                "qualifiers": c.qualifiers,
                "references": c.references,
                "rank": c.rank,
            }
            for c in self.claims
        ],
    }

WikibasePropertyTemplate

An extracted Wikidata property ready for filtering and export.

This is the property-specific implementation of the DataTemplate protocol.

Plain meaning: A loaded Wikidata property template ready for modification.

Source code in gkc/mash/core.py 
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@dataclass
class WikibasePropertyTemplate:
    """An extracted Wikidata property ready for filtering and export.

    This is the property-specific implementation of the DataTemplate protocol.

    Plain meaning: A loaded Wikidata property template ready for modification.
    """

    pid: str
    labels: dict[str, str]
    descriptions: dict[str, str]
    aliases: dict[str, list[str]]
    datatype: Optional[str]
    formatter_url: Optional[str]
    entity_data: dict[str, Any]

    def summary(self) -> dict[str, Any]:
        """Return a summary of the template for display.

        Plain meaning: Get a quick overview without full details.
        """
        return {
            "pid": self.pid,
            "labels": self.labels,
            "descriptions": self.descriptions,
            "datatype": self.datatype,
            "formatter_url": self.formatter_url,
            "aliases": self.aliases,
        }

    def to_dict(self) -> dict[str, Any]:
        """Serialize to a dictionary.

        Plain meaning: Convert to a form suitable for JSON export.
        """
        return copy.deepcopy(self.entity_data)

    def to_shell(self) -> dict[str, Any]:
        """Strip identifiers and metadata to create a shell for new property creation.

        Returns entity data with all system IDs, metadata, and hashes removed,
        suitable for use as a template for creating new properties.

        Returns:
            Dict with identifiers stripped, ready for new property creation.

        Plain meaning: Prepare this template as a clean shell for a new property.
        """
        return strip_entity_identifiers(self.entity_data)

    def to_gkc_entity_profile(self) -> dict[str, Any]:
        """Convert to GKC Entity Profile format.

        Returns:
            Dict representing the GKC Entity Profile.

        Raises:
            NotImplementedError: This transformation is not yet implemented
                for properties.

        Plain meaning: Transform into a GKC Entity Profile
            (not yet implemented).
        """
        raise NotImplementedError(
            "Property to GKC Entity Profile transformation is not yet implemented. "
            "This will be added in a future version."
        )

summary()

Return a summary of the template for display.

Plain meaning: Get a quick overview without full details.

Source code in gkc/mash/core.py 
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def summary(self) -> dict[str, Any]:
    """Return a summary of the template for display.

    Plain meaning: Get a quick overview without full details.
    """
    return {
        "pid": self.pid,
        "labels": self.labels,
        "descriptions": self.descriptions,
        "datatype": self.datatype,
        "formatter_url": self.formatter_url,
        "aliases": self.aliases,
    }

to_dict()

Serialize to a dictionary.

Plain meaning: Convert to a form suitable for JSON export.

Source code in gkc/mash/core.py 
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def to_dict(self) -> dict[str, Any]:
    """Serialize to a dictionary.

    Plain meaning: Convert to a form suitable for JSON export.
    """
    return copy.deepcopy(self.entity_data)

to_gkc_entity_profile()

Convert to GKC Entity Profile format.

Returns:

Type Description
dict[str, Any]

Dict representing the GKC Entity Profile.

Raises:

Type Description
NotImplementedError

This transformation is not yet implemented for properties.
Transform into a GKC Entity Profile

(not yet implemented).

Source code in gkc/mash/core.py 
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def to_gkc_entity_profile(self) -> dict[str, Any]:
    """Convert to GKC Entity Profile format.

    Returns:
        Dict representing the GKC Entity Profile.

    Raises:
        NotImplementedError: This transformation is not yet implemented
            for properties.

    Plain meaning: Transform into a GKC Entity Profile
        (not yet implemented).
    """
    raise NotImplementedError(
        "Property to GKC Entity Profile transformation is not yet implemented. "
        "This will be added in a future version."
    )

to_shell()

Strip identifiers and metadata to create a shell for new property creation.

Returns entity data with all system IDs, metadata, and hashes removed, suitable for use as a template for creating new properties.

Returns:

Type Description
dict[str, Any]

Dict with identifiers stripped, ready for new property creation.

Plain meaning: Prepare this template as a clean shell for a new property.

Source code in gkc/mash/core.py 
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def to_shell(self) -> dict[str, Any]:
    """Strip identifiers and metadata to create a shell for new property creation.

    Returns entity data with all system IDs, metadata, and hashes removed,
    suitable for use as a template for creating new properties.

    Returns:
        Dict with identifiers stripped, ready for new property creation.

    Plain meaning: Prepare this template as a clean shell for a new property.
    """
    return strip_entity_identifiers(self.entity_data)

WikibaseEntitySchemaTemplate

An extracted Wikidata EntitySchema ready for filtering and export.

This is the EntitySchema-specific implementation of the DataTemplate protocol.

Plain meaning: A loaded Wikidata EntitySchema template ready for modification.

Source code in gkc/mash/core.py 
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@dataclass
class WikibaseEntitySchemaTemplate:
    """An extracted Wikidata EntitySchema ready for filtering and export.

    This is the EntitySchema-specific implementation of the DataTemplate protocol.

    Plain meaning: A loaded Wikidata EntitySchema template ready for modification.
    """

    eid: str
    labels: dict[str, str]
    descriptions: dict[str, str]
    schema_text: str
    entity_data: dict[str, Any]

    def summary(self) -> dict[str, Any]:
        """Return a summary of the template for display.

        Plain meaning: Get a quick overview without full details.
        """
        return {
            "eid": self.eid,
            "labels": self.labels,
            "descriptions": self.descriptions,
            "schema_text_length": len(self.schema_text),
        }

    def to_dict(self) -> dict[str, Any]:
        """Serialize to a dictionary.

        Plain meaning: Convert to a form suitable for JSON export.
        """
        return copy.deepcopy(self.entity_data)

    def to_shell(self) -> dict[str, Any]:
        """Strip identifiers and metadata for new EntitySchema creation.

        Returns entity data with all system IDs and metadata removed,
        suitable for use as a template for creating new EntitySchemas.

        Returns:
            Dict with identifiers stripped, ready for new EntitySchema creation.

        Plain meaning: Prepare this template as a clean shell for a new EntitySchema.
        """
        return strip_entity_identifiers(self.entity_data)

    def to_gkc_entity_profile(self) -> dict[str, Any]:
        """Convert to GKC Entity Profile format.

        Returns:
            Dict representing the GKC Entity Profile.

        Raises:
            NotImplementedError: EntitySchema to Entity Profile transformation
                is not yet supported. This functionality will be restored
                when the new Entity Profile architecture is finalized.

        Plain meaning: Transform into a GKC Entity Profile (not yet supported).
        """
        raise NotImplementedError(
            "EntitySchema to GKC Entity Profile transformation is not yet supported. "
            "This functionality will be restored when the new Entity Profile "
            "architecture is finalized."
        )

summary()

Return a summary of the template for display.

Plain meaning: Get a quick overview without full details.

Source code in gkc/mash/core.py 
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def summary(self) -> dict[str, Any]:
    """Return a summary of the template for display.

    Plain meaning: Get a quick overview without full details.
    """
    return {
        "eid": self.eid,
        "labels": self.labels,
        "descriptions": self.descriptions,
        "schema_text_length": len(self.schema_text),
    }

to_dict()

Serialize to a dictionary.

Plain meaning: Convert to a form suitable for JSON export.

Source code in gkc/mash/core.py 
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def to_dict(self) -> dict[str, Any]:
    """Serialize to a dictionary.

    Plain meaning: Convert to a form suitable for JSON export.
    """
    return copy.deepcopy(self.entity_data)

to_gkc_entity_profile()

Convert to GKC Entity Profile format.

Returns:

Type Description
dict[str, Any]

Dict representing the GKC Entity Profile.

Raises:

Type Description
NotImplementedError

EntitySchema to Entity Profile transformation is not yet supported. This functionality will be restored when the new Entity Profile architecture is finalized.

Plain meaning: Transform into a GKC Entity Profile (not yet supported).

Source code in gkc/mash/core.py 
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def to_gkc_entity_profile(self) -> dict[str, Any]:
    """Convert to GKC Entity Profile format.

    Returns:
        Dict representing the GKC Entity Profile.

    Raises:
        NotImplementedError: EntitySchema to Entity Profile transformation
            is not yet supported. This functionality will be restored
            when the new Entity Profile architecture is finalized.

    Plain meaning: Transform into a GKC Entity Profile (not yet supported).
    """
    raise NotImplementedError(
        "EntitySchema to GKC Entity Profile transformation is not yet supported. "
        "This functionality will be restored when the new Entity Profile "
        "architecture is finalized."
    )

to_shell()

Strip identifiers and metadata for new EntitySchema creation.

Returns entity data with all system IDs and metadata removed, suitable for use as a template for creating new EntitySchemas.

Returns:

Type Description
dict[str, Any]

Dict with identifiers stripped, ready for new EntitySchema creation.

Plain meaning: Prepare this template as a clean shell for a new EntitySchema.

Source code in gkc/mash/core.py 
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def to_shell(self) -> dict[str, Any]:
    """Strip identifiers and metadata for new EntitySchema creation.

    Returns entity data with all system IDs and metadata removed,
    suitable for use as a template for creating new EntitySchemas.

    Returns:
        Dict with identifiers stripped, ready for new EntitySchema creation.

    Plain meaning: Prepare this template as a clean shell for a new EntitySchema.
    """
    return strip_entity_identifiers(self.entity_data)

WikibaseLoader

Load a Wikidata item as a template for bulk modification.

This is the Wikidata-specific implementation of a data loader. Future loaders for CSV, JSON APIs, etc. should follow a similar pattern.

Plain meaning: Fetch and parse a Wikidata item into a usable template.

Source code in gkc/mash/core.py 
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class WikibaseLoader:
    """Load a Wikidata item as a template for bulk modification.

    This is the Wikidata-specific implementation of a data loader.
    Future loaders for CSV, JSON APIs, etc. should follow a similar pattern.

    Plain meaning: Fetch and parse a Wikidata item into a usable template.
    """

    def __init__(
        self,
        user_agent: Optional[str] = None,
        api_url: str = "https://www.wikidata.org/w/api.php",
        api_client: Optional[WikibaseApiClient] = None,
        auth: Optional[Any] = None,
    ):
        """Initialize the loader.

        Args:
            user_agent: Custom user agent for Wikidata requests.
                       If not provided, a default GKC user agent is used.
            api_client: Optional pre-configured WikibaseApiClient.
            auth: Optional WikiverseAuth instance. When provided and the
                authenticated user has the ``apihighlimits`` right, batch
                requests are made in chunks of 500 instead of 50.
        """

        if user_agent is None:
            user_agent = DEFAULT_USER_AGENT

        self.user_agent = user_agent
        self.api_url = api_url
        self.api_client = api_client or WikibaseApiClient(
            api_url=api_url,
            user_agent=user_agent,
        )
        has_high_limits = (
            auth is not None
            and callable(getattr(auth, "has_api_high_limits", None))
            and auth.has_api_high_limits()
        )
        self.entity_batch_size: int = 500 if has_high_limits else 50

    def load_item(self, qid: str) -> WikibaseItemTemplate:
        """Load a Wikidata item and return it as a template.

        Args:
            qid: The Wikidata item ID (e.g., 'Q42').

        Returns:
            WikibaseItemTemplate with the item's structure.

        Raises:
            RuntimeError: If the item cannot be fetched or parsed.

        Plain meaning: Retrieve the item and return it ready for use.

        Example:
            >>> loader = WikibaseLoader()
            >>> template = loader.load_item("Q42")
            >>> print(template.summary())
        """

        entity_data = self.load_entity_data(qid)

        # Convert to MashTemplate
        template = self._build_template(qid, entity_data)

        return template

    def load(self, qid: str) -> WikibaseItemTemplate:
        """Load a Wikidata item and return it as a template.

        .. deprecated:: 1.0
            Use :meth:`load_item` instead. This method is maintained for
            backwards compatibility and will be removed in a future version.

        Args:
            qid: The Wikidata item ID (e.g., 'Q42').

        Returns:
            WikibaseItemTemplate with the item's structure.

        Plain meaning: Retrieve the item and return it ready for use.
        """
        return self.load_item(qid)

    def load_entities_raw(self, entity_ids: list[str]) -> dict[str, dict[str, Any]]:
        """Load raw entity JSON in wbgetentities-sized batches.

        Uses ``self.entity_batch_size`` so authenticated sessions with
        ``apihighlimits`` can fetch 500 entities per request.
        """
        if not entity_ids:
            return {}

        result: dict[str, dict[str, Any]] = {}

        for i in range(0, len(entity_ids), self.entity_batch_size):
            batch = entity_ids[i : i + self.entity_batch_size]
            batch_results = self._fetch_entities_batch(batch)
            result.update(batch_results)

        return result

    def load_items(self, qids: list[str]) -> dict[str, WikibaseItemTemplate]:
        """Load multiple Wikidata items in batch and return them as templates.

        Uses the wbgetentities API to efficiently fetch multiple items in
        ``self.entity_batch_size`` chunks. Handles partial failures gracefully.

        Args:
            qids: List of Wikidata item IDs (e.g., ['Q42', 'Q5']).

        Returns:
            Dict mapping QIDs to WikidataTemplates. Only successfully loaded
            items are included in the result.

        Raises:
            RuntimeError: If the API request fails completely.

        Plain meaning: Load multiple items efficiently in batch.

        Example:
            >>> loader = WikibaseLoader()
            >>> templates = loader.load_items(["Q42", "Q5", "Q30"])
            >>> print(len(templates))
            3
        """
        if not qids:
            return {}

        result: dict[str, WikibaseItemTemplate] = {}
        batch_results = self.load_entities_raw(qids)

        # Build templates for each successfully fetched entity
        for qid, entity_data in batch_results.items():
            try:
                template = self._build_template(qid, entity_data)
                result[qid] = template
            except Exception:
                # Skip items that fail to parse
                continue

        return result

    def load_property(self, pid: str) -> WikibasePropertyTemplate:
        """Load a Wikidata property and return it as a template.

        Args:
            pid: The Wikidata property ID (e.g., 'P31').

        Returns:
            WikibasePropertyTemplate with the property's metadata.

        Raises:
            RuntimeError: If the property cannot be fetched or parsed.

        Plain meaning: Retrieve a property definition and return it ready for use.

        Example:
            >>> loader = WikibaseLoader()
            >>> prop = loader.load_property("P31")
            >>> print(prop.summary())
        """
        entity_data = self.load_entity_data(pid)
        return self._build_property_template(pid, entity_data)

    def load_entity_schema(self, eid: str) -> WikibaseEntitySchemaTemplate:
        """Load a Wikidata EntitySchema and return it as a template.

        Args:
            eid: The Wikidata EntitySchema ID (e.g., 'E502').

        Returns:
            WikibaseEntitySchemaTemplate with the schema content.

        Raises:
            RuntimeError: If the EntitySchema cannot be fetched or parsed.

        Plain meaning: Retrieve an EntitySchema and return it ready for use.

        Example:
            >>> loader = WikibaseLoader()
            >>> schema = loader.load_entity_schema("E502")
            >>> print(schema.summary())
        """
        entity_data = fetch_entity_schema_json(eid, user_agent=self.user_agent)
        return self._build_entity_schema_template(eid, entity_data)

    def _fetch_entities_batch(self, entity_ids: list[str]) -> dict[str, dict[str, Any]]:
        """Fetch multiple entities using wbgetentities API.

        Args:
            entity_ids: List of entity IDs (max 50).

        Returns:
            Dict mapping entity IDs to their entity data.

        Raises:
            RuntimeError: If the API request fails.

        Plain meaning: Fetch a batch of entities from Wikidata.
        """
        try:
            return self.api_client.get_entities(entity_ids)
        except RuntimeError as exc:
            raise RuntimeError(f"Failed to fetch entities batch: {exc}") from exc

    def load_entity_data(self, qid: str) -> dict[str, Any]:
        """Load raw Wikidata entity data.

        Plain meaning: Return the entity JSON as provided by Wikidata.
        """

        # Fetch the item via Special:EntityData endpoint which returns JSON
        # This is equivalent to wbgetentities but simpler for single-item fetches
        json_text = self._fetch_entity_json(qid)

        # Parse the JSON response from Wikidata
        return self._parse_wikidata_json(json_text, qid)

    def _fetch_entity_json(self, qid: str) -> str:
        """Fetch a single Wikidata entity as JSON.

        Args:
            qid: The Wikidata item ID (e.g., 'Q42').

        Returns:
            JSON string with entity data.

        Raises:
            RuntimeError: If the fetch fails or entity doesn't exist.

        Plain meaning: Download the item from Wikidata as JSON.
        """

        parsed = urlparse(self.api_url)
        if not parsed.scheme or not parsed.netloc:
            raise RuntimeError(f"Invalid API URL configured: {self.api_url}")

        url = f"{parsed.scheme}://{parsed.netloc}/wiki/Special:EntityData/{qid}.json"

        headers = {}
        if self.user_agent:
            headers["User-Agent"] = self.user_agent

        try:
            response = requests.get(url, headers=headers, timeout=30)

            # Handle 404 or 400 errors which indicate item doesn't exist
            if response.status_code == 404:
                raise RuntimeError(f"no-such-entity: {qid} not found on Wikidata")
            if response.status_code == 400:
                raise RuntimeError(f"no-such-entity: {qid} is invalid")

            response.raise_for_status()
            return response.text
        except requests.RequestException as exc:
            raise RuntimeError(f"Failed to load item {qid}: {exc}") from exc

    def _parse_wikidata_json(self, json_text: str, qid: str) -> dict[str, Any]:
        """Parse Wikidata JSON response from Special:EntityData endpoint.

        Args:
            json_text: Raw JSON response text.
            qid: The QID being parsed (used for error messages).

        Returns:
            Dictionary with entity data.

        Raises:
            ValueError: If JSON parsing fails or format is unexpected.

        Plain meaning: Extract entity data from the API response.
        """

        try:
            response = json.loads(json_text)
        except json.JSONDecodeError as exc:
            raise ValueError(f"Failed to parse JSON response for {qid}: {exc}") from exc

        if not isinstance(response, dict):
            raise ValueError(f"Expected JSON object for {qid}, got {type(response)}")

        # Special:EntityData wraps data in an "entities" key
        entities = response.get("entities", {})
        entity_data: dict[str, Any] = entities.get(qid, {})

        # Check for API error
        if "error" in entity_data:
            error_code = entity_data["error"].get("code", "unknown")
            error_info = entity_data["error"].get("info", "No error details")
            raise ValueError(
                f"Wikidata API error for {qid} ({error_code}): {error_info}"
            )

        if not entity_data:
            raise ValueError(f"Entity {qid} not found in response")

        return entity_data

    def _build_template(
        self, qid: str, entity_data: dict[str, Any]
    ) -> WikibaseItemTemplate:
        """Convert entity data to a WikibaseItemTemplate.

        Plain meaning: Transform API data into our simplified format.
        """

        # Extract labels, descriptions, aliases
        labels = entity_data.get("labels", {})
        descriptions = entity_data.get("descriptions", {})
        aliases = entity_data.get("aliases", {})

        # Simplify to language -> value mappings
        labels_dict = {
            lang: item.get("value", "")
            for lang, item in labels.items()
            if isinstance(item, dict)
        }
        descriptions_dict = {
            lang: item.get("value", "")
            for lang, item in descriptions.items()
            if isinstance(item, dict)
        }
        aliases_dict = {
            lang: [alias.get("value", "") for alias in alias_list]
            for lang, alias_list in aliases.items()
            if isinstance(alias_list, list)
        }

        # Extract claims
        claims = self._extract_claims(entity_data.get("claims", {}))

        return WikibaseItemTemplate(
            qid=qid,
            labels=labels_dict,
            descriptions=descriptions_dict,
            aliases=aliases_dict,
            claims=claims,
            entity_data=copy.deepcopy(entity_data),
        )

    @staticmethod
    def _extract_claims(claims_data: dict[str, Any]) -> list[ClaimSummary]:
        """Extract claims from entity data.

        Plain meaning: Parse statement data into simplified claim objects.
        """

        claims: list[ClaimSummary] = []

        for prop_id, statements in claims_data.items():
            if not isinstance(statements, list):
                continue

            for statement in statements:
                claim = WikibaseLoader._statement_to_claim(prop_id, statement)
                if claim:
                    claims.append(claim)

        return claims

    def _build_property_template(
        self, pid: str, entity_data: dict[str, Any]
    ) -> WikibasePropertyTemplate:
        """Convert entity data to a WikibasePropertyTemplate.

        Plain meaning: Transform API data into our simplified property format.
        """
        # Extract labels, descriptions, aliases
        labels = entity_data.get("labels", {})
        descriptions = entity_data.get("descriptions", {})
        aliases = entity_data.get("aliases", {})

        # Simplify to language -> value mappings
        labels_dict = {
            lang: item.get("value", "")
            for lang, item in labels.items()
            if isinstance(item, dict)
        }
        descriptions_dict = {
            lang: item.get("value", "")
            for lang, item in descriptions.items()
            if isinstance(item, dict)
        }
        aliases_dict = {
            lang: [alias.get("value", "") for alias in alias_list]
            for lang, alias_list in aliases.items()
            if isinstance(alias_list, list)
        }

        # Extract property-specific metadata
        datatype = entity_data.get("datatype")

        # Formatter URL is in claims P1630
        formatter_url = None
        claims = entity_data.get("claims", {})
        p1630_statements = claims.get("P1630", [])
        if p1630_statements and isinstance(p1630_statements, list):
            first_statement = p1630_statements[0]
            mainsnak = first_statement.get("mainsnak", {})
            datavalue = mainsnak.get("datavalue", {})
            if datavalue.get("type") == "string":
                formatter_url = datavalue.get("value")

        return WikibasePropertyTemplate(
            pid=pid,
            labels=labels_dict,
            descriptions=descriptions_dict,
            aliases=aliases_dict,
            datatype=datatype,
            formatter_url=formatter_url,
            entity_data=copy.deepcopy(entity_data),
        )

    def _build_entity_schema_template(
        self, eid: str, entity_data: dict[str, Any]
    ) -> WikibaseEntitySchemaTemplate:
        """Convert entity data to a WikibaseEntitySchemaTemplate.

        Plain meaning: Transform API data into our simplified EntitySchema format.
        """
        # Extract labels and descriptions
        labels = entity_data.get("labels", {})
        descriptions = entity_data.get("descriptions", {})

        # Simplify to language -> value mappings
        labels_dict = {
            lang: item.get("value", "")
            for lang, item in labels.items()
            if isinstance(item, dict)
        }
        descriptions_dict = {
            lang: item.get("value", "")
            for lang, item in descriptions.items()
            if isinstance(item, dict)
        }

        # Extract schema text
        schema_text = entity_data.get("schemaText", "")

        return WikibaseEntitySchemaTemplate(
            eid=eid,
            labels=labels_dict,
            descriptions=descriptions_dict,
            schema_text=schema_text,
            entity_data=copy.deepcopy(entity_data),
        )

    @staticmethod
    def _statement_to_claim(
        prop_id: str, statement: dict[str, Any]
    ) -> Optional[ClaimSummary]:
        """Convert a single statement to a ClaimSummary.

        Plain meaning: Simplify a statement object for display.
        """

        # Extract main value
        mainsnak = statement.get("mainsnak", {})
        value, value_metadata = WikibaseLoader._snak_to_value(mainsnak)
        if value is None:
            return None

        # Extract qualifiers with their values
        qualifiers = statement.get("qualifiers", {})
        qualifiers_list = []
        for prop, snaks in qualifiers.items():
            if snaks:
                # Extract value from the first snak of each qualifier property
                snak = snaks[0]
                qual_value, qual_metadata = WikibaseLoader._snak_to_value(snak)
                if qual_value:
                    qualifier_dict = {"property": prop, "value": qual_value}
                    if qual_metadata:
                        qualifier_dict["metadata"] = qual_metadata
                    qualifiers_list.append(qualifier_dict)

        # Extract references
        references = statement.get("references", [])
        references_list = [{"count": len(ref.get("snaks", {}))} for ref in references]

        rank = statement.get("rank", "normal")

        return ClaimSummary(
            property_id=prop_id,
            value=value,
            qualifiers=qualifiers_list,
            references=references_list,
            rank=rank,
            value_metadata=value_metadata,
        )

    @staticmethod
    def _snak_to_value(
        snak: dict[str, Any],
    ) -> tuple[Optional[str], Optional[dict[str, Any]]]:
        """Extract a human-readable value from a snak with metadata.

        Returns:
            Tuple of (value_string, metadata_dict) where metadata contains
            things like precision for dates, units for quantities, etc.

        Plain meaning: Get a simple string representation of the value plus metadata.
        """

        snaktype = snak.get("snaktype", "value")

        if snaktype == "novalue":
            return "[no value]", None
        if snaktype == "somevalue":
            return "[unknown value]", None

        datavalue = snak.get("datavalue")
        if not datavalue:
            return None, None

        dv_type = datavalue.get("type", "")
        dv_value = datavalue.get("value")

        if dv_type == "wikibase-entityid":
            if isinstance(dv_value, dict):
                return dv_value.get("id", "[entity]"), None
            return str(dv_value), None

        if dv_type == "quantity":
            if isinstance(dv_value, dict):
                amount = dv_value.get("amount", "[quantity]")
                unit = dv_value.get("unit")
                metadata = {"unit": unit} if unit else None
                return amount, metadata
            return str(dv_value), None

        if dv_type == "time":
            if isinstance(dv_value, dict):
                time_str = dv_value.get("time", "[time]")
                precision = dv_value.get("precision")
                metadata = {"precision": precision} if precision is not None else None
                return time_str, metadata
            return str(dv_value), None

        if dv_type == "monolingualtext":
            if isinstance(dv_value, dict):
                return dv_value.get("text", "[text]"), None
            return str(dv_value), None

        if dv_type == "string":
            return str(dv_value), None

        if dv_type == "globecoordinate":
            if isinstance(dv_value, dict):
                lat = dv_value.get("latitude", "?")
                lon = dv_value.get("longitude", "?")
                precision_val = dv_value.get("precision")
                metadata = (
                    {"precision": precision_val} if precision_val is not None else None
                )
                return f"({lat}, {lon})", metadata
            return str(dv_value), None

        return (str(dv_value), None) if dv_value else (None, None)

__init__(user_agent=None, api_url='https://www.wikidata.org/w/api.php', api_client=None, auth=None)

Initialize the loader.

Parameters:

Name Type Description Default
user_agent Optional[str]

Custom user agent for Wikidata requests. If not provided, a default GKC user agent is used.

 None
api_client Optional[WikibaseApiClient]

Optional pre-configured WikibaseApiClient.

 None
auth Optional[Any]

Optional WikiverseAuth instance. When provided and the authenticated user has the apihighlimits right, batch requests are made in chunks of 500 instead of 50.

 None
Source code in gkc/mash/core.py 
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def __init__(
    self,
    user_agent: Optional[str] = None,
    api_url: str = "https://www.wikidata.org/w/api.php",
    api_client: Optional[WikibaseApiClient] = None,
    auth: Optional[Any] = None,
):
    """Initialize the loader.

    Args:
        user_agent: Custom user agent for Wikidata requests.
                   If not provided, a default GKC user agent is used.
        api_client: Optional pre-configured WikibaseApiClient.
        auth: Optional WikiverseAuth instance. When provided and the
            authenticated user has the ``apihighlimits`` right, batch
            requests are made in chunks of 500 instead of 50.
    """

    if user_agent is None:
        user_agent = DEFAULT_USER_AGENT

    self.user_agent = user_agent
    self.api_url = api_url
    self.api_client = api_client or WikibaseApiClient(
        api_url=api_url,
        user_agent=user_agent,
    )
    has_high_limits = (
        auth is not None
        and callable(getattr(auth, "has_api_high_limits", None))
        and auth.has_api_high_limits()
    )
    self.entity_batch_size: int = 500 if has_high_limits else 50

load(qid)

Load a Wikidata item and return it as a template.

.. deprecated:: 1.0 Use :meth:load_item instead. This method is maintained for backwards compatibility and will be removed in a future version.

Parameters:

Name Type Description Default
qid str

The Wikidata item ID (e.g., 'Q42').

 required

Returns:

Type Description
WikibaseItemTemplate

WikibaseItemTemplate with the item's structure.

Plain meaning: Retrieve the item and return it ready for use.

Source code in gkc/mash/core.py 
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def load(self, qid: str) -> WikibaseItemTemplate:
    """Load a Wikidata item and return it as a template.

    .. deprecated:: 1.0
        Use :meth:`load_item` instead. This method is maintained for
        backwards compatibility and will be removed in a future version.

    Args:
        qid: The Wikidata item ID (e.g., 'Q42').

    Returns:
        WikibaseItemTemplate with the item's structure.

    Plain meaning: Retrieve the item and return it ready for use.
    """
    return self.load_item(qid)

load_entities_raw(entity_ids)

Load raw entity JSON in wbgetentities-sized batches.

Uses self.entity_batch_size so authenticated sessions with apihighlimits can fetch 500 entities per request.

Source code in gkc/mash/core.py 
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def load_entities_raw(self, entity_ids: list[str]) -> dict[str, dict[str, Any]]:
    """Load raw entity JSON in wbgetentities-sized batches.

    Uses ``self.entity_batch_size`` so authenticated sessions with
    ``apihighlimits`` can fetch 500 entities per request.
    """
    if not entity_ids:
        return {}

    result: dict[str, dict[str, Any]] = {}

    for i in range(0, len(entity_ids), self.entity_batch_size):
        batch = entity_ids[i : i + self.entity_batch_size]
        batch_results = self._fetch_entities_batch(batch)
        result.update(batch_results)

    return result

load_entity_data(qid)

Load raw Wikidata entity data.

Plain meaning: Return the entity JSON as provided by Wikidata.

Source code in gkc/mash/core.py 
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def load_entity_data(self, qid: str) -> dict[str, Any]:
    """Load raw Wikidata entity data.

    Plain meaning: Return the entity JSON as provided by Wikidata.
    """

    # Fetch the item via Special:EntityData endpoint which returns JSON
    # This is equivalent to wbgetentities but simpler for single-item fetches
    json_text = self._fetch_entity_json(qid)

    # Parse the JSON response from Wikidata
    return self._parse_wikidata_json(json_text, qid)

load_entity_schema(eid)

Load a Wikidata EntitySchema and return it as a template.

Parameters:

Name Type Description Default
eid str

The Wikidata EntitySchema ID (e.g., 'E502').

 required

Returns:

Type Description
WikibaseEntitySchemaTemplate

WikibaseEntitySchemaTemplate with the schema content.

Raises:

Type Description
RuntimeError

If the EntitySchema cannot be fetched or parsed.

Plain meaning: Retrieve an EntitySchema and return it ready for use.

Example

loader = WikibaseLoader() schema = loader.load_entity_schema("E502") print(schema.summary())

Source code in gkc/mash/core.py 
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def load_entity_schema(self, eid: str) -> WikibaseEntitySchemaTemplate:
    """Load a Wikidata EntitySchema and return it as a template.

    Args:
        eid: The Wikidata EntitySchema ID (e.g., 'E502').

    Returns:
        WikibaseEntitySchemaTemplate with the schema content.

    Raises:
        RuntimeError: If the EntitySchema cannot be fetched or parsed.

    Plain meaning: Retrieve an EntitySchema and return it ready for use.

    Example:
        >>> loader = WikibaseLoader()
        >>> schema = loader.load_entity_schema("E502")
        >>> print(schema.summary())
    """
    entity_data = fetch_entity_schema_json(eid, user_agent=self.user_agent)
    return self._build_entity_schema_template(eid, entity_data)

load_item(qid)

Load a Wikidata item and return it as a template.

Parameters:

Name Type Description Default
qid str

The Wikidata item ID (e.g., 'Q42').

 required

Returns:

Type Description
WikibaseItemTemplate

WikibaseItemTemplate with the item's structure.

Raises:

Type Description
RuntimeError

If the item cannot be fetched or parsed.

Plain meaning: Retrieve the item and return it ready for use.

Example

loader = WikibaseLoader() template = loader.load_item("Q42") print(template.summary())

Source code in gkc/mash/core.py 
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def load_item(self, qid: str) -> WikibaseItemTemplate:
    """Load a Wikidata item and return it as a template.

    Args:
        qid: The Wikidata item ID (e.g., 'Q42').

    Returns:
        WikibaseItemTemplate with the item's structure.

    Raises:
        RuntimeError: If the item cannot be fetched or parsed.

    Plain meaning: Retrieve the item and return it ready for use.

    Example:
        >>> loader = WikibaseLoader()
        >>> template = loader.load_item("Q42")
        >>> print(template.summary())
    """

    entity_data = self.load_entity_data(qid)

    # Convert to MashTemplate
    template = self._build_template(qid, entity_data)

    return template

load_items(qids)

Load multiple Wikidata items in batch and return them as templates.

Uses the wbgetentities API to efficiently fetch multiple items in self.entity_batch_size chunks. Handles partial failures gracefully.

Parameters:

Name Type Description Default
qids list[str]

List of Wikidata item IDs (e.g., ['Q42', 'Q5']).

 required

Returns:

Type Description
dict[str, WikibaseItemTemplate]

Dict mapping QIDs to WikidataTemplates. Only successfully loaded
dict[str, WikibaseItemTemplate]

items are included in the result.

Raises:

Type Description
RuntimeError

If the API request fails completely.

Plain meaning: Load multiple items efficiently in batch.

Example

loader = WikibaseLoader() templates = loader.load_items(["Q42", "Q5", "Q30"]) print(len(templates)) 3

Source code in gkc/mash/core.py 
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def load_items(self, qids: list[str]) -> dict[str, WikibaseItemTemplate]:
    """Load multiple Wikidata items in batch and return them as templates.

    Uses the wbgetentities API to efficiently fetch multiple items in
    ``self.entity_batch_size`` chunks. Handles partial failures gracefully.

    Args:
        qids: List of Wikidata item IDs (e.g., ['Q42', 'Q5']).

    Returns:
        Dict mapping QIDs to WikidataTemplates. Only successfully loaded
        items are included in the result.

    Raises:
        RuntimeError: If the API request fails completely.

    Plain meaning: Load multiple items efficiently in batch.

    Example:
        >>> loader = WikibaseLoader()
        >>> templates = loader.load_items(["Q42", "Q5", "Q30"])
        >>> print(len(templates))
        3
    """
    if not qids:
        return {}

    result: dict[str, WikibaseItemTemplate] = {}
    batch_results = self.load_entities_raw(qids)

    # Build templates for each successfully fetched entity
    for qid, entity_data in batch_results.items():
        try:
            template = self._build_template(qid, entity_data)
            result[qid] = template
        except Exception:
            # Skip items that fail to parse
            continue

    return result

load_property(pid)

Load a Wikidata property and return it as a template.

Parameters:

Name Type Description Default
pid str

The Wikidata property ID (e.g., 'P31').

 required

Returns:

Type Description
WikibasePropertyTemplate

WikibasePropertyTemplate with the property's metadata.

Raises:

Type Description
RuntimeError

If the property cannot be fetched or parsed.

Plain meaning: Retrieve a property definition and return it ready for use.

Example

loader = WikibaseLoader() prop = loader.load_property("P31") print(prop.summary())

Source code in gkc/mash/core.py 
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def load_property(self, pid: str) -> WikibasePropertyTemplate:
    """Load a Wikidata property and return it as a template.

    Args:
        pid: The Wikidata property ID (e.g., 'P31').

    Returns:
        WikibasePropertyTemplate with the property's metadata.

    Raises:
        RuntimeError: If the property cannot be fetched or parsed.

    Plain meaning: Retrieve a property definition and return it ready for use.

    Example:
        >>> loader = WikibaseLoader()
        >>> prop = loader.load_property("P31")
        >>> print(prop.summary())
    """
    entity_data = self.load_entity_data(pid)
    return self._build_property_template(pid, entity_data)

WikipediaTemplate

A Wikipedia template loaded from Wikimedia API for use in Wikipedia editing.

This is the Wikipedia-specific implementation of the DataTemplate protocol.

Plain meaning: A loaded Wikipedia template ready for display and use in editing workflows.

Source code in gkc/mash/core.py 
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@dataclass
class WikipediaTemplate:
    """A Wikipedia template loaded from Wikimedia API for use in Wikipedia editing.

    This is the Wikipedia-specific implementation of the DataTemplate protocol.

    Plain meaning: A loaded Wikipedia template ready for display and use
    in editing workflows.
    """

    title: str
    description: str
    params: dict[str, Any]
    param_order: list[str]
    raw_data: dict[str, Any]

    def summary(self) -> dict[str, Any]:
        """Return a summary of the template for display.

        Returns:
            Dict with title, description, and number of parameters.

        Plain meaning: Get a quick overview without full details.
        """
        return {
            "title": self.title,
            "description": self.description,
            "param_count": len(self.params),
        }

    def to_dict(self) -> dict[str, Any]:
        """Serialize to a dictionary.

        Returns:
            Dict containing title, description, params, and paramOrder.

        Plain meaning: Convert to a form suitable for JSON export.
        """
        return {
            "title": self.title,
            "description": self.description,
            "params": self.params,
            "paramOrder": self.param_order,
        }

summary()

Return a summary of the template for display.

Returns:

Type Description
dict[str, Any]

Dict with title, description, and number of parameters.

Plain meaning: Get a quick overview without full details.

Source code in gkc/mash/core.py 
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def summary(self) -> dict[str, Any]:
    """Return a summary of the template for display.

    Returns:
        Dict with title, description, and number of parameters.

    Plain meaning: Get a quick overview without full details.
    """
    return {
        "title": self.title,
        "description": self.description,
        "param_count": len(self.params),
    }

to_dict()

Serialize to a dictionary.

Returns:

Type Description
dict[str, Any]

Dict containing title, description, params, and paramOrder.

Plain meaning: Convert to a form suitable for JSON export.

Source code in gkc/mash/core.py 
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def to_dict(self) -> dict[str, Any]:
    """Serialize to a dictionary.

    Returns:
        Dict containing title, description, params, and paramOrder.

    Plain meaning: Convert to a form suitable for JSON export.
    """
    return {
        "title": self.title,
        "description": self.description,
        "params": self.params,
        "paramOrder": self.param_order,
    }

WikipediaLoader

Load Wikipedia templates from Wikimedia API as templates for editing workflows.

This is the Wikipedia-specific implementation of a data loader.

Plain meaning: Fetch and parse a Wikipedia template into a usable format.

Source code in gkc/mash/core.py 
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class WikipediaLoader:
    """Load Wikipedia templates from Wikimedia API as templates for editing workflows.

    This is the Wikipedia-specific implementation of a data loader.

    Plain meaning: Fetch and parse a Wikipedia template into a usable format.
    """

    def __init__(self, user_agent: Optional[str] = None):
        """Initialize the loader.

        Args:
            user_agent: Custom user agent for Wikimedia API requests.
                       If not provided, a default GKC user agent is used.

        Plain meaning: Set up the loader with optional custom user agent.
        """
        if user_agent is None:
            user_agent = DEFAULT_USER_AGENT

        self.user_agent = user_agent
        self.base_url = "https://en.wikipedia.org/w/api.php"

    def load_template(self, template_name: str) -> WikipediaTemplate:
        """Load a Wikipedia template and return it as a template.

        Args:
            template_name: The Wikipedia template name (e.g., 'Infobox settlement').

        Returns:
            WikipediaTemplate with the template's structure.

        Raises:
            RuntimeError: If the template cannot be fetched or parsed.

        Plain meaning: Retrieve the template and return it ready for use.

        Example:
            >>> loader = WikipediaLoader()
            >>> template = loader.load_template("Infobox settlement")
            >>> print(template.summary())
        """
        # Fetch template data from Wikimedia API
        params: dict[str, Any] = {
            "action": "templatedata",
            "format": "json",
            "titles": f"Template:{template_name}",
        }

        try:
            response = requests.get(
                self.base_url,
                params=params,
                headers={"User-Agent": self.user_agent},
                timeout=10,
            )
            response.raise_for_status()
        except requests.RequestException as exc:
            raise RuntimeError(
                f"Failed to fetch template '{template_name}' from Wikimedia API: {exc}"
            ) from exc

        try:
            data = response.json()
        except ValueError as exc:
            raise RuntimeError(
                f"Failed to parse JSON response for template '{template_name}': {exc}"
            ) from exc

        # Extract pages from response. The templatedata API returns pages directly,
        # not nested under a "query" key like other Mediawiki APIs.
        pages = data.get("pages", {})
        if not pages:
            raise RuntimeError(
                f"Template '{template_name}' not found in Wikimedia API response"
            )

        # Get the first (and only) page
        page_data = next(iter(pages.values()))

        # Check if this page has template data
        if "notabledescriptions" in page_data or "missing" in page_data:
            raise RuntimeError(
                f"Template '{template_name}' not found or has no template data"
            )

        # Extract required fields
        title = page_data.get("title", template_name)

        # Get description in English, or empty string if not available
        descriptions = page_data.get("description", {})
        if isinstance(descriptions, dict):
            description = descriptions.get("en", "")
        else:
            description = str(descriptions) if descriptions else ""

        params_data = page_data.get("params", {})
        param_order = page_data.get("paramOrder", [])

        # Build and return the template
        return WikipediaTemplate(
            title=title,
            description=description,
            params=params_data,
            param_order=param_order,
            raw_data=page_data,
        )

__init__(user_agent=None)

Initialize the loader.

Parameters:

Name Type Description Default
user_agent Optional[str]

Custom user agent for Wikimedia API requests. If not provided, a default GKC user agent is used.

 None

Plain meaning: Set up the loader with optional custom user agent.

Source code in gkc/mash/core.py 
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def __init__(self, user_agent: Optional[str] = None):
    """Initialize the loader.

    Args:
        user_agent: Custom user agent for Wikimedia API requests.
                   If not provided, a default GKC user agent is used.

    Plain meaning: Set up the loader with optional custom user agent.
    """
    if user_agent is None:
        user_agent = DEFAULT_USER_AGENT

    self.user_agent = user_agent
    self.base_url = "https://en.wikipedia.org/w/api.php"

load_template(template_name)

Load a Wikipedia template and return it as a template.

Parameters:

Name Type Description Default
template_name str

The Wikipedia template name (e.g., 'Infobox settlement').

 required

Returns:

Type Description
WikipediaTemplate

WikipediaTemplate with the template's structure.

Raises:

Type Description
RuntimeError

If the template cannot be fetched or parsed.

Plain meaning: Retrieve the template and return it ready for use.

Example

loader = WikipediaLoader() template = loader.load_template("Infobox settlement") print(template.summary())

Source code in gkc/mash/core.py 
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def load_template(self, template_name: str) -> WikipediaTemplate:
    """Load a Wikipedia template and return it as a template.

    Args:
        template_name: The Wikipedia template name (e.g., 'Infobox settlement').

    Returns:
        WikipediaTemplate with the template's structure.

    Raises:
        RuntimeError: If the template cannot be fetched or parsed.

    Plain meaning: Retrieve the template and return it ready for use.

    Example:
        >>> loader = WikipediaLoader()
        >>> template = loader.load_template("Infobox settlement")
        >>> print(template.summary())
    """
    # Fetch template data from Wikimedia API
    params: dict[str, Any] = {
        "action": "templatedata",
        "format": "json",
        "titles": f"Template:{template_name}",
    }

    try:
        response = requests.get(
            self.base_url,
            params=params,
            headers={"User-Agent": self.user_agent},
            timeout=10,
        )
        response.raise_for_status()
    except requests.RequestException as exc:
        raise RuntimeError(
            f"Failed to fetch template '{template_name}' from Wikimedia API: {exc}"
        ) from exc

    try:
        data = response.json()
    except ValueError as exc:
        raise RuntimeError(
            f"Failed to parse JSON response for template '{template_name}': {exc}"
        ) from exc

    # Extract pages from response. The templatedata API returns pages directly,
    # not nested under a "query" key like other Mediawiki APIs.
    pages = data.get("pages", {})
    if not pages:
        raise RuntimeError(
            f"Template '{template_name}' not found in Wikimedia API response"
        )

    # Get the first (and only) page
    page_data = next(iter(pages.values()))

    # Check if this page has template data
    if "notabledescriptions" in page_data or "missing" in page_data:
        raise RuntimeError(
            f"Template '{template_name}' not found or has no template data"
        )

    # Extract required fields
    title = page_data.get("title", template_name)

    # Get description in English, or empty string if not available
    descriptions = page_data.get("description", {})
    if isinstance(descriptions, dict):
        description = descriptions.get("en", "")
    else:
        description = str(descriptions) if descriptions else ""

    params_data = page_data.get("params", {})
    param_order = page_data.get("paramOrder", [])

    # Build and return the template
    return WikipediaTemplate(
        title=title,
        description=description,
        params=params_data,
        param_order=param_order,
        raw_data=page_data,
    )

See Also