package forester
A tool for tending mathematical forests
Install
Dune Dependency
Authors
Maintainers
Sources
5.0.tar.gz
md5=24f4aed96a8b8af33aba13fba66f1b37
sha512=d36b896aca11858bb4a00fc704c16cc27a1f197bdb3e479d6132fd70f70d67d7158096285cb0b6fb00db14417f0f822cc27fe65d82f0971e42378fd8271ce573
doc/src/forester.search/Tokenizer.ml.html
Source file Tokenizer.ml
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(* * SPDX-FileCopyrightText: 2024 The Forester Project Contributors * * SPDX-License-Identifier: GPL-3.0-or-later *) open struct module T = Forester_core.Types end module Set = Set.Make(String) type loc = | In_frontmatter | In_mainmatter let int_of_field_frontmatter = function | `uri -> 0 | `title -> 1 | `dates -> 2 | `attributions -> 3 | `taxon -> 4 | `number -> 5 | `designated_parent -> 6 | `source_path -> 7 | `tags -> 8 | `metas -> 9 let int_of_field_article = function | `frontmatter -> 0 | `mainmatter -> 1 | `backmatter -> 2 type token = {v: string; loc: loc} let common_words = Set.of_list [ "a"; "and"; "be"; "have"; "i"; "in"; "of"; "that"; "the"; "to"; ] let tokenize string = Str.(split @@ regexp "[^a-zA-Z0-9]+") string |> List.filter_map (fun s -> let lower = String.lowercase_ascii s in if not @@ Set.mem lower common_words then Some (Stemming.stem lower) else None ) let rec tokenize_content : int list -> loc -> T.content -> (int list * string) list = fun path loc node -> match node with | T.Content nodes -> List.concat @@ List.mapi (fun i node -> match node with | T.Text s -> List.mapi (fun j token -> j :: i :: path, token) (tokenize s) (* i :: path, token *) | T.CDATA s -> List.mapi (fun j token -> j :: i :: path, token) (tokenize s) | T.Xml_elt {content; _} -> (* TODO: Consider tokenizing xml_qname *) tokenize_content (i :: path) loc content | T.Section {frontmatter; mainmatter; _} -> tokenize_frontmatter (int_of_field_article `frontmatter :: path) frontmatter @ tokenize_content path loc mainmatter | T.Link {content; _} -> tokenize_content (i :: path) loc content | T.KaTeX (_, _) -> (* NOTE: In order to properly search math, we need to revamp the architecture and add more features...*) [] | T.Transclude _ | T.Contextual_number _ | T.Artefact _ | T.Uri _ | T.Route_of_uri _ | T.Datalog_script _ | T.Results_of_datalog_query _ -> [] ) nodes and tokenize_vertex : int list -> loc -> T.content T.vertex -> (int list * string) list = fun path loc v -> match v with | T.Uri_vertex _ -> [] | T.Content_vertex c -> tokenize_content path loc c and tokenize_attribution : int list -> loc -> T.content T.attribution -> (int list * string) list = fun path loc v -> match v with | T.{vertex; _} -> tokenize_vertex path loc vertex and tokenize_frontmatter : int list -> T.content T.frontmatter -> (int list * string) list = fun path fm -> match fm with | {title; attributions; taxon; ; metas; _; } -> List.concat [ Option.value ~default: [] ( Option.map ( tokenize_content (int_of_field_frontmatter `title :: path) In_frontmatter ) title ); Option.value ~default: [] ( Option.map ( tokenize_content (int_of_field_frontmatter `taxon :: path) In_frontmatter ) taxon ); List.concat_map (tokenize_attribution path In_frontmatter) attributions; List.concat_map (tokenize_vertex path In_frontmatter) tags; List.concat @@ List.mapi (fun _i (s, c) -> (List.mapi (fun i t -> i :: path, t) @@ tokenize s) @ tokenize_content path In_frontmatter c ) metas; ] let tokenize_article : T.content T.article -> (int list * string) list = function | {frontmatter; mainmatter; _} -> tokenize_frontmatter [0] frontmatter @ tokenize_content [1] In_mainmatter mainmatter |> List.map (fun (x, y) -> List.rev x, y)
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