/**
 * @copyright Sister Software
 * @license AGPL-3.0
 * @author Teffen Ellis, et al.
 *
 *   Fetch the multilingual sub-venue designator vocabulary from Wikidata (#35 wave 1).
 *
 *   Source : https://query.wikidata.org/sparql (the Wikidata Query Service).
 *   License: CC0. Wikidata's data is public-domain dedicated, so nothing rides on a derived shard.
 *            Tier A.
 *
 *   ## The pull is CLASS labels, not instance names — and that inversion is the whole design
 *
 *   The obvious read of "Wikidata for localized designators" is: fetch every airport terminal entity
 *   and read its name in each language. That was tried first and it is the WRONG query. Wikidata
 *   knows 246 items that are `instance of / subclass of*` airport terminal, carrying 775 labels
 *   between them (measured 2026-08-04), and most of those labels are proper names that translate
 *   verbatim — `TWA Flight Center` is spelled `TWA Flight Center` in fifteen languages. The
 *   instance layer is thin and its localization is mostly a no-op.
 *
 *   The DESIGNATOR is the label of the CLASS. `wd:Q849706` ("airport terminal") is labelled `Terminal`
 *   in German, `terminal aéroportuaire` in French, `ターミナルビル` in Japanese, `航站楼` in Chinese —
 *   and `skos:altLabel` adds the aliases (`Abfertigungsgebäude`, `Flughafenterminal`, `aerostazione`).
 *   Eight concept ids yield 877 label+alias rows across 174 languages, which is the vocabulary the
 *   corpus task asked for and the instance query does not contain. {@link SUBVENUE_CONCEPTS} is that
 *   list of ids; {@link buildDesignatorLabelQuery} is that query.
 *
 *   Instance labels are fetched too ({@link buildTerminalInstanceQuery}), for a different job: they
 *   are ATTESTED USAGE — evidence of how a designator combines with a modifier or an identifier in
 *   running text. 775 rows is small, and it is a validation set, not a vocabulary.
 *
 *   ## What a caller must NOT do with the output
 *
 *   A class label is a CONCEPT NAME, not a designator as written in an address. Q849706's Spanish
 *   label is `terminal aeroportuaria` and its French is `terminal d'aéroport`; nobody writes either on
 *   an envelope, they write `Terminal`. Q247739's Spanish is `puerta de embarque` where the addressed
 *   form is `Puerta`. So this fetch produces CANDIDATE SURFACES that need a head-noun/curation pass
 *   before any of them reaches `neural/venue-structure.ts`'s designator vocabulary — the lexicon
 *   builder marks every one `curated: false` and the burden of promotion is on a human. Wiring the raw
 *   pull straight into the span proposer would admit multi-word phrases that match nothing and, worse,
 *   admit `hall` in a language where it names an ordinary room.
 *
 *   ## Why `APIClient` here when the OurAirports sibling uses `downloadToFile`
 *
 *   This is the API-request side of `AGENTS.md`'s split: small JSON bodies, several calls per run, and
 *   a host that publishes a rate policy and enforces it with 429s. Pacing, bounded `Retry-After`-aware
 *   retry, response caching and `ResourceError` mapping all earn their keep, so it extends
 *   {@link APIClient}. `ourairports.ts` is four static file transfers off a CDN and correctly does not.
 *
 *   WDQS also REQUIRES a descriptive `User-Agent` naming the tool and a contact — an anonymous or
 *   library-default agent is blocked outright by the Wikimedia user-agent policy. See
 *   {@link WIKIDATA_USER_AGENT}.
 *
 *   Invoke via `mailwoman corpus fetch wikidata-subvenue --out-root <path>`.
 */
import { APIClient, type ClockLike } from "@mailwoman/core/api";
import type { BaseFetchOptions, FetchSummary } from "./download.ts";
/**
 * The SPARQL endpoint. Public, no credential.
 */
export declare const WDQS_ENDPOINT = "https://query.wikidata.org/sparql";
/**
 * The `User-Agent` every request carries.
 *
 * NOT decoration. The Wikimedia user-agent policy blocks requests whose agent is absent, generic, or a library default,
 * and WDQS enforces it — an unidentified client gets a 403 that no amount of retrying fixes. The policy asks for a tool
 * name, a URL, and a contact address, all three of which are here.
 */
export declare const WIKIDATA_USER_AGENT = "mailwoman/1.0 (https://github.com/sister-software/mailwoman; teffen@sister.software) corpus-subvenue-fetch";
/**
 * One Wikidata concept whose labels are a designator's multilingual surface set.
 *
 * `designatorID` is the mailwoman-side vocabulary term, matching `neural/venue-structure.ts`'s
 * `VENUE_STRUCTURE_DESIGNATORS` wherever the two overlap. `qid` was resolved by `wbsearchentities` and hand-checked
 * against the entity's English description (recorded below) on 2026-08-04 — a QID picked by search alone is how you end
 * up pulling the labels of a Bronx neighbourhood called Concourse.
 *
 * `wing` is ABSENT and that is a finding, not an oversight: Wikidata has no clean concept for "wing of a building".
 * `wbsearchentities` for "wing" returns a surname, two English villages, a rugby position and a drone company. Since
 * `wing` is the single most valuable designator in the arc — `West Wing` is the one modifier case that already parses,
 * and `East Wing` is the one that does not — its localized surfaces have to come from somewhere else. See the wave-1
 * report.
 */
export interface SubVenueConcept {
    designatorID: string;
    qid: string;
    /**
     * The entity's English description, recorded so a future reader can tell at a glance whether the QID still names what
     * we think it names.
     */
    gloss: string;
}
/**
 * The concept table. Eight ids, each verified against its English description on 2026-08-04.
 */
export declare const SUBVENUE_CONCEPTS: readonly SubVenueConcept[];
/**
 * Build the class-label query: `rdfs:label` and `skos:altLabel` for every concept, in every language, tagged with which
 * of the two it came from so the lexicon can rank a label above an alias.
 *
 * `VALUES` rather than a property path over the whole class tree — the concept list is closed and hand-verified, and a
 * `wdt:P279*` walk from `building` would drag in every structure type on earth.
 */
export declare function buildDesignatorLabelQuery(concepts?: readonly SubVenueConcept[]): string;
/**
 * Build the instance-label query — every item that is an `instance of` (through any `subclass of` chain) an airport
 * terminal, with all of its labels. Measured at 246 items / 775 labels on 2026-08-04, well inside WDQS's 60-second
 * budget.
 *
 * A caveat worth knowing before trusting a row: Wikidata's P31 on these is not clean. `Q1322696` (Kigali International
 * Airport) is typed as an airport terminal, so the result set mixes AIRPORTS in with terminals. The consumer filters;
 * this module fetches what the query returns.
 */
export declare function buildTerminalInstanceQuery(classQID?: string): string;
/**
 * The SPARQL JSON results shape, narrowed to the two column types these queries produce.
 */
export interface SPARQLResults {
    results: {
        bindings: Array<Record<string, {
            type: string;
            value: string;
            "xml:lang"?: string;
        }>>;
    };
}
/**
 * Whether a decoded body is a SPARQL results envelope. Used as the cache's write validator so an HTML error page served
 * under a 200 is never persisted for the next run to destructure into `undefined`.
 */
export declare function isSPARQLResults(value: unknown): value is SPARQLResults;
export interface CreateWikidataClientOptions {
    /**
     * On-disk response-cache root. Defaults to a `http-cache` directory beside the fetch output.
     */
    cacheDir: string;
    /**
     * Time source powering the pacer and the retry backoff. Defaults to the system clock; tests inject a fake so no suite
     * ever sleeps a real second.
     */
    clock?: ClockLike;
    /**
     * Axios overrides, merged over this client's defaults. THE TEST SEAM — pass an `adapter` and no live call is made.
     * Overriding `headers` wholesale would drop the required `User-Agent`, so don't.
     */
    axios?: ConstructorParameters<typeof APIClient>[0]["axios"];
}
/**
 * A Wikidata Query Service client: paced, retrying, disk-cached, and correctly identified.
 */
export declare class WikidataClient extends APIClient {
    /**
     * Run one SPARQL query and return its results envelope.
     */
    query(sparql: string): Promise<SPARQLResults>;
}
/**
 * Construct a {@link WikidataClient} with every default resolved.
 */
export declare function createWikidataClient(options: CreateWikidataClientOptions): WikidataClient;
export type FetchWikidataSubVenueOptions = BaseFetchOptions;
/**
 * Run both queries and write their raw SPARQL JSON into `<outRoot>/wikidata-subvenue/`, with a `MANIFEST.json` carrying
 * the endpoint, the exact queries, the concept table, row counts and sha256s.
 *
 * The RAW envelope is written rather than a reshaped one on purpose: the lexicon build is a separate, pure step
 * (`sub-venue-lexicon.ts`) and keeping the fetch output byte-faithful to what WDQS served means a lexicon regeneration
 * never needs the network.
 */
export declare function fetchWikidataSubVenue(options: FetchWikidataSubVenueOptions, report?: (line: string) => void): Promise<FetchSummary>;
//# sourceMappingURL=wikidata-subvenue.d.ts.map