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topic: string }>;\n author_id?: string;\n book?: number | string;\n image?: string;\n};\n\nlet _searchData: Record | null = null;\nlet _index: lunr.Index | null = null;\nlet _tags: Array<{ name: string; url: string }> | null = null;\n\nexport function resetCache() {\n _searchData = null;\n _index = null;\n _tags = null;\n}\n\nexport async function getSearchData(): Promise> {\n if (!_searchData) {\n _searchData = await fetch(`${SITE_URL}/assets/js/SearchData.json`).then((r) => r.json());\n }\n return _searchData!;\n}\n\nasync function getIndex(): Promise {\n if (!_index) {\n const searchData = await getSearchData();\n lunr.tokenizer.separator = /[\\s/]+/;\n _index = lunr(function () {\n this.ref(\"id\");\n this.field(\"title\");\n this.field(\"content\");\n this.field(\"url\");\n this.field(\"tags\");\n this.metadataWhitelist = [\"position\"];\n for (const i in searchData) {\n this.add({\n id: i,\n title: searchData[i].title,\n content: searchData[i].content,\n url: searchData[i].url,\n tags: searchData[i].tags,\n });\n }\n });\n }\n return _index!;\n}\n\nasync function getTags(): Promise> {\n if (!_tags) {\n _tags = await fetch(`${SITE_URL}/assets/js/tags.json`).then((r) => r.json());\n }\n return _tags!;\n}\n\nfunction postFilter(post: Post) {\n return post.type === \"post\" || post.type === \"page\";\n}\n\nfunction extractCategory(post: Post): string {\n if (post.type === \"page\") return \"page\";\n if (post.url?.includes(\"/notes/\")) return \"notes\";\n if (post.url?.includes(\"/exercise/\")) return \"exercise\";\n if (post.url?.includes(\"/replies/\")) return \"replies\";\n return \"blog\";\n}\n\nexport function formatPost(post: Post): string {\n const url = post.url?.startsWith(\"http\") ? post.url : SITE_URL + post.url;\n return [\n `# [${post.title}](${url})`,\n \"\",\n post.content?.slice(0, 1000),\n \"\",\n `- tags: ${(post.tags || \"\").split(\" \").join(\", \")}`,\n `- date: ${post.date}`,\n `- category: ${extractCategory(post)}`,\n post.backlinks?.length ? `- backlinks: ${post.backlinks.map((b) => SITE_URL + b).join(\", \")}` : null,\n ]\n .filter(Boolean)\n .join(\"\\n\");\n}\n\nfunction search(input: string, index: lunr.Index, searchData: Record) {\n let results = index.search(input);\n\n if (results.length < 3 && input.length > 2) {\n const tokens = lunr.tokenizer(input).filter((t: lunr.Token) => t.str.length < 20);\n if (tokens.length > 1) {\n const orResults = index.query((q: lunr.Query) => {\n for (const token of tokens) {\n q.term(token.str, {\n fields: [\"title\", \"tags\"],\n boost: 10,\n presence: lunr.Query.presence.OPTIONAL,\n });\n q.term(token.str, {\n fields: [\"content\"],\n presence: lunr.Query.presence.OPTIONAL,\n });\n }\n });\n const seen = new Set(results.map((r) => r.ref));\n for (const r of orResults) {\n if (!seen.has(r.ref)) {\n seen.add(r.ref);\n results.push(r);\n }\n }\n }\n }\n\n if (results.length === 0 && input.length > 2) {\n const tokens = lunr.tokenizer(input).filter((t: lunr.Token) => t.str.length < 20);\n if (tokens.length > 0) {\n results = index.query((q: lunr.Query) => {\n q.term(tokens, { editDistance: Math.round(Math.sqrt(input.length / 2 - 1)) });\n });\n }\n }\n\n return results\n .map((r) => searchData[r.ref])\n .filter((p) => p && postFilter(p));\n}\n\nexport async function executeTool(name: string, input: Record): Promise {\n const searchData = await getSearchData();\n const index = await getIndex();\n\n if (name === \"search_posts\") {\n const query = input.query as string;\n const limit = Math.min(Math.max((input.limit as number) || 5, 1), 10);\n let results = search(query, index, searchData);\n if (input.tag) results = results.filter((p) => p.tags?.includes(input.tag as string));\n if (input.category) results = results.filter((p) => extractCategory(p) === input.category);\n if (results.length === 0) return `No posts found for \"${query}\".`;\n return results\n .slice(0, limit)\n .map((p) => formatPost(p))\n .join(\"\\n\\n---\\n\\n\");\n }\n\n if (name === \"get_post\") {\n const url = input.url as string;\n const db = Object.values(searchData).filter(postFilter);\n const post = db.find((p) => p.url === url || SITE_URL + p.url === url);\n if (!post) return `Post \"${url}\" not found.`;\n return formatPost(post);\n }\n\n if (name === \"get_tags\") {\n const tags = await getTags();\n return tags.map((t) => t.name).sort().join(\", \");\n }\n\n if (name === \"search_tags\") {\n const q = (input.query as string).toLowerCase();\n const tags = await getTags();\n const matches = tags.filter((t) => t.name.toLowerCase().includes(q));\n if (matches.length === 0) return `No tags matching \"${q}\".`;\n return matches.slice(0, 20).map((t) => t.name).join(\", \");\n }\n\n return `Unknown tool: ${name}`;\n}\n\nexport const tools = [\n {\n name: \"search_posts\",\n description:\n \"Search for posts in the knowledge garden by query text. Keyword-based search. Use short queries with specific nouns and terms. Try multiple focused queries rather than one complex one.\",\n input_schema: {\n type: \"object\" as const,\n properties: {\n query: { type: \"string\", description: \"Search query text\" },\n limit: { type: \"number\", description: \"Max results (1-10, default 5)\" },\n tag: { type: \"string\", description: \"Filter to posts with this tag\" },\n category: {\n type: \"string\",\n enum: [\"blog\", \"notes\", \"exercise\", \"replies\", \"page\"],\n description: \"Filter by post category\",\n },\n },\n required: [\"query\"],\n },\n },\n {\n name: \"get_post\",\n description:\n \"Get the full content and metadata of a specific post by its URL path (e.g. /notes/446271384).\",\n input_schema: {\n type: \"object\" as const,\n properties: {\n url: { type: \"string\", description: \"Post URL or path\" },\n },\n required: [\"url\"],\n },\n },\n {\n name: \"get_tags\",\n description: \"List all tags used in the knowledge garden.\",\n input_schema: {\n type: \"object\" as const,\n properties: {},\n },\n },\n {\n name: \"search_tags\",\n description: \"Search for tags matching a query string.\",\n input_schema: {\n type: \"object\" as const,\n properties: {\n query: { type: \"string\", description: \"Tag name to search for\" },\n },\n required: [\"query\"],\n },\n },\n {\n name: \"read_webpage\",\n description:\n \"Read the content of an external web page via URL. Use this to read sources linked from a post that are NOT on joshbeckman.org. Returns the page title and markdown content.\",\n input_schema: {\n type: \"object\" as const,\n properties: {\n url: { type: \"string\", description: \"Full URL of the external web page to read\" },\n },\n required: [\"url\"],\n },\n },\n];\n","deleted","label",[180,162],"backend","permalink","https://www.val.town/x/joshbeckman/criticCron/code/backend/search.ts","extension","actionData","errors"]