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{ JSDOM } from \"npm:jsdom\";\n\nexport interface AD21_Location {\n locationIndicator: string; // e.g., \"EGBE\"\n name: string; // e.g., \"COVENTRY\"\n}\n\nexport interface AD22_AerodromeData {\n arp?: string;\n directionAndDistance?: string;\n elevationRefTempMeanLowTemp?: string;\n geoidUndulation?: string;\n magVarAnnualChange?: string;\n administrationAddress?: string;\n telephone?: string;\n fax?: string;\n email?: string;\n web?: string;\n afsAftn?: string;\n trafficPermitted?: string; // IFR/VFR\n remarks?: string;\n // raw key->value pairs if we can't normalize a row\n raw?: Record;\n}\n\nexport interface RunwayEnd {\n designator: string; // \"05\", \"23\", \"18\", \"36\"\n trueBearing?: string;\n dimensions?: string; // \"1825 x 46 M\" or \"949 x 30\"\n surfaceStrength?: string; // \"ASPH, PCN-15/F/B/X/U\" or \"PCN 48/F/B/X/U\"\n thrCoordinates?: string; // \"522153.62N 0012918.26W\"\n thrElevation?: string; // \"THR 266.7 FT\" or numbers\n highestTDZ?: string; // when available\n slope?: string; // when available\n runwayEndCoordinates?: string; // Avinor provides \"RWY end COORD\"\n runwaySurfaceEndCoordinates?: string; // Avinor \"RWY SFC end COORD\"\n remarks?: string;\n}\n\nexport interface AD212_RunwayPhysical {\n runways: RunwayEnd[];\n // Optional “secondary” table info\n secondary?: Array>; // SWY/CWY/RESA/Strip/OFZ/Remarks rows\n}\n\nexport interface AD218_Comms {\n services: Array<{\n service?: string;\n designation?: string;\n callsign?: string;\n frequency?: string; // keep as string to preserve units \"MHZ\"\n hours?: string;\n remarks?: string;\n satvoice?: string;\n logonAddress?: string;\n }>;\n}\n\nexport interface ChartEntry {\n name: string;\n url?: string; // if linked\n page?: string; // \"AD 2 ENSH 2 - 1\", etc\n}\n\nexport interface AD224_Charts {\n charts: ChartEntry[];\n}\n\nexport interface AerodromeAD2 {\n ad21?: AD21_Location;\n ad22?: AD22_AerodromeData;\n ad212?: AD212_RunwayPhysical;\n ad218?: AD218_Comms;\n ad224?: AD224_Charts;\n meta?: {\n sourceUrl?: string;\n provider?: \"NATS\" | \"AVINOR\" | \"OTHER\";\n };\n}\n\nconst AD_SECTION_TITLES = {\n \"2.1\": /AD[\\s\\h]*2\\.1\\b/i,\n \"2.2\": /AD[\\s\\h]*2\\.2\\b/i,\n \"2.12\": /AD[\\s\\h]*2\\.12\\b/i,\n \"2.18\": /AD[\\s\\h]*2\\.18\\b/i,\n \"2.24\": /AD[\\s\\h]*2\\.24\\b/i,\n};\n\ntype SectionId = keyof typeof AD_SECTION_TITLES;\n\nfunction textClean(s?: string | null): string {\n return (s ?? \"\")\n .replace(/\\u00AD/g, \"\") // soft hyphen\n .replace(/[\\s\\h]+/g, \" \")\n .trim();\n}\n\n// function getProvider(doc: Document): AerodromeAD2[\"meta\"][\"provider\"] {\n// const host = textClean(doc.querySelector(\"base\")?.href || \"\");\n// const html = doc.documentElement.outerHTML;\n// if (/nats\\.co\\.uk/i.test(html) || /aurora\\.nats\\.co\\.uk/i.test(html)) {\n// return \"NATS\";\n// }\n// if (/avinor\\.no/i.test(html)) return \"AVINOR\";\n// return \"OTHER\";\n// }\nfunction getProvider(\n doc: Document,\n sourceUrl?: string,\n): AerodromeAD2[\"meta\"][\"provider\"] {\n const html = doc.documentElement.outerHTML;\n if (\n (sourceUrl && /nats\\.co\\.uk/i.test(sourceUrl)) || /nats\\.co\\.uk/i.test(html)\n ) return \"NATS\";\n if (\n (sourceUrl && /avinor\\.no/i.test(sourceUrl)) || /avinor\\.no/i.test(html)\n ) return \"AVINOR\";\n return \"OTHER\";\n}\n\n// Find all headings that look like “AD 2.x …”\nfunction findAllAdHeadings(doc: Document): HTMLElement[] {\n const candidates = Array.from(doc.querySelectorAll(\"h1,h2,h3,h4,h5\"));\n return candidates.filter((h) => /AD[\\s\\h]*2\\.\\d+/.test(h.textContent || \"\"));\n}\n\n// Get the content nodes that belong to one AD 2.x heading, up to next AD 2.* heading\nfunction collectSectionContent(start: HTMLElement): HTMLElement[] {\n const content: HTMLElement[] = [];\n let el = start.nextElementSibling as HTMLElement | null;\n while (el) {\n if (\n /^H[1-5]$/i.test(el.tagName) &&\n /AD[\\s\\h]*2\\.\\d+/.test(el.textContent || \"\")\n ) break;\n content.push(el);\n el = el.nextElementSibling as HTMLElement | null;\n }\n return content;\n}\n\n// Extract first table inside nodes; optionally all tables\nfunction findTables(nodes: HTMLElement[]): HTMLTableElement[] {\n return nodes.flatMap((n) => Array.from(n.querySelectorAll(\"table\")));\n}\n\n// Convert a table to a matrix of strings\nfunction tableToMatrix(table: HTMLTableElement): string[][] {\n const rows = Array.from(table.querySelectorAll(\"tr\"));\n return rows.map((tr) =>\n Array.from(tr.querySelectorAll(\"th,td\")).map((td) =>\n textClean(td.textContent)\n )\n );\n}\n\n// Generic: pick best header row (heuristic)\nfunction detectHeaderRow(\n matrix: string[][],\n): { header: string[]; body: string[][] } {\n if (matrix.length === 0) return { header: [], body: [] };\n // Heuristic: prefer first row with >=2 non-empty cells and with at least one non-numeric header word\n for (let i = 0; i < Math.min(3, matrix.length); i++) {\n const r = matrix[i];\n const nonEmpty = r.filter((c) => c).length;\n const hasWordy = r.some((c) => /[A-Za-z]/.test(c));\n if (nonEmpty >= 2 && hasWordy) {\n return { header: r, body: matrix.slice(i + 1) };\n }\n }\n // fallback: treat first row as header\n return { header: matrix[0] || [], body: matrix.slice(1) };\n}\n\n// Map body rows to objects by header\nfunction matrixToObjects(\n header: string[],\n body: string[][],\n): Record[] {\n return body\n .map((row) => {\n const o: Record = {};\n header.forEach((h, i) => {\n const key = textClean(h).replace(/[\\s\\h]*\$.*?\$[\\s\\h]*/g, \"\"); // trim parentheticals\n o[key || `col${i + 1}`] = textClean(row[i] || \"\");\n });\n return o;\n })\n .filter((o) => Object.values(o).some((v) => v));\n}\n\n// Key-value tables: try to read “label -> value” across rows\nfunction parseKeyValueMatrix(matrix: string[][]): Record {\n const out: Record = {};\n for (const row of matrix) {\n if (row.length === 0) continue;\n // Common shapes: [num?, label, value] or [label, value]\n if (row.length >= 3 && /^[0-9]+$/.test(row[0])) {\n const label = row[1] || \"\";\n const value = row.slice(2).join(\" \").trim();\n if (label) out[label] = value;\n } else if (row.length >= 2) {\n const label = row[0] || \"\";\n const value = row.slice(1).join(\" \").trim();\n if (label) out[label] = value;\n }\n }\n return out;\n}\n\n// Section-specific parsers\n\nfunction parseAD21(nodes: HTMLElement[]): AD21_Location | undefined {\n // Often the page title or the first heading includes “EGBE — COVENTRY” etc.\n // Try heading text, else look in AD 2.1 table.\n const heading = nodes[0]?.closest(\"body\")?.querySelector(\"h1,h2,h3\");\n const hText = textClean(heading?.textContent || \"\");\n // Pattern like \"EGBE — COVENTRY\" or \"(...) — NAME\"\n const m = hText.match(/\\b([A-Z]{4})\\b[\\s\\h]*[-—][\\s\\h]*(.+)$/);\n if (m) return { locationIndicator: m[1], name: textClean(m[2]) };\n\n const tables = findTables(nodes);\n for (const t of tables) {\n const mtx = tableToMatrix(t);\n const kv = parseKeyValueMatrix(mtx);\n // Try locate indicator/name keys if present\n for (const [k, v] of Object.entries(kv)) {\n if (/location indicator/i.test(k) || /indicator/i.test(k)) {\n const parts = v.split(/[\\s\\h]*[-—][\\s\\h]*/);\n if (parts.length >= 2) {\n return {\n locationIndicator: textClean(parts[0]),\n name: textClean(parts.slice(1).join(\"—\")),\n };\n }\n }\n }\n }\n return undefined;\n}\n\nfunction parseAD22(\n nodes: HTMLElement[],\n provider: AerodromeAD2[\"meta\"][\"provider\"],\n): AD22_AerodromeData | undefined {\n const tables = findTables(nodes);\n if (tables.length === 0) return undefined;\n\n // Merge key-value tables\n const rawMerged: Record = {};\n for (const t of tables) {\n const mtx = tableToMatrix(t);\n const kv = parseKeyValueMatrix(mtx);\n for (const [k, v] of Object.entries(kv)) {\n if (!rawMerged[k]) rawMerged[k] = v;\n }\n }\n\n // Normalize common fields by fuzzy key matching\n const get = (...alts: RegExp[]) => {\n const entry = Object.entries(rawMerged).find(([k]) =>\n alts.some((r) => r.test(k))\n );\n return entry?.[1];\n };\n\n const ad22: AD22_AerodromeData = {\n arp: get(/ARP/i, /coordinates/i),\n directionAndDistance: get(/Direction.*distance/i),\n elevationRefTempMeanLowTemp: get(\n /Elevation.*Reference.*Mean.*Low/i,\n /ELEV.*REF.*Mean/i,\n ),\n geoidUndulation: get(/Geoid.*undulation/i),\n magVarAnnualChange: get(/Mag.*Var/i),\n administrationAddress: get(/Administration.*Address/i, /Address/i),\n telephone: get(/Telephone/i),\n fax: get(/^Fax/i),\n email: get(/E-?mail/i),\n web: get(/Web/i),\n afsAftn: get(/AFS|AFTN/i),\n trafficPermitted: get(/Types of traffic/i),\n remarks: get(/^RMK/i, /Remarks?/i),\n raw: Object.keys(rawMerged).length ? rawMerged : undefined,\n };\n\n return ad22;\n}\n\nfunction parseAD212(\n nodes: HTMLElement[],\n provider: AerodromeAD2[\"meta\"][\"provider\"],\n): AD212_RunwayPhysical | undefined {\n const tables = findTables(nodes);\n if (tables.length === 0) return undefined;\n\n const runways: RunwayEnd[] = [];\n const secondary: Array> = [];\n\n for (const t of tables) {\n const matrix = tableToMatrix(t);\n const { header, body } = detectHeaderRow(matrix);\n const objs = matrixToObjects(header, body);\n\n // Heuristic: runway table contains a column with \"RWY\" or \"Designations\" or looks like designator values in first column\n const headerStr = header.join(\" \").toLowerCase();\n const looksRunway = /designations|rwy|runway/.test(headerStr) ||\n body.some((r) => r[0] && /^[0-9]{2}[A-Z]?$|^[0-9]{2}$/.test(r[0]));\n\n const looksSecondary = /SWY|CWY|Strip|RESA|OFZ/i.test(header.join(\" \")) ||\n /SWY|CWY|RESA|OFZ/i.test(\n objs.map((o) => Object.keys(o).join(\" \")).join(\" \"),\n );\n\n if (looksRunway) {\n for (const o of objs) {\n const designator = o[\"Designations RWY Number\"] ||\n o[\"RWY\"] ||\n o[\"Runway\"] ||\n o[\"Designations\"] ||\n o[\"1\"] ||\n o[\"col1\"];\n if (!designator) continue;\n\n const rw: RunwayEnd = {\n designator: textClean(designator),\n trueBearing: o[\"True bearing\"] || o[\"BRG GEO\"] || o[\"Bearing\"],\n dimensions: o[\"Dimensions of RWY\"] || o[\"DMN\"] || o[\"DMN (M)\"] ||\n o[\"Dimensions\"],\n surfaceStrength: o[\"Surface of RWY/ SWY/ Strength\"] ||\n o[\"SFC - RWY\"] ||\n o[\"Surface\"] ||\n [o[\"SFC - RWY\"], o[\"Strength\"]].filter(Boolean).join(\" \").trim(),\n thrCoordinates: o[\"THR co-ordinates/ THR Geoid undulation\"] ||\n o[\"THR COORD\"],\n thrElevation:\n o[\"THR elevation/ Highest elevation of TDZ of precision APP RWY\"] ||\n o[\"THR ELEV (FT)\"],\n highestTDZ: o[\"Highest elevation of TDZ of precision APP RWY\"],\n slope: o[\"Slope of RWY/ SWY\"] || o[\"RWY/RESA Slope\"],\n runwayEndCoordinates: o[\"RWY end COORD\"],\n runwaySurfaceEndCoordinates: o[\"RWY SFC end COORD\"],\n remarks: o[\"Remarks\"] || o[\"RMK\"],\n };\n\n // When a row splits over two lines (e.g., NATS shows each end separately), matrix objects will reflect them separately anyway\n runways.push(rw);\n }\n } else if (looksSecondary) {\n secondary.push(...objs);\n }\n }\n\n return { runways, secondary: secondary.length ? secondary : undefined };\n}\n\nfunction parseAD218(\n nodes: HTMLElement[],\n provider: AerodromeAD2[\"meta\"][\"provider\"],\n): AD218_Comms | undefined {\n const tables = findTables(nodes);\n if (tables.length === 0) return undefined;\n\n const services: AD218_Comms[\"services\"] = [];\n\n for (const t of tables) {\n const matrix = tableToMatrix(t);\n const { header, body } = detectHeaderRow(matrix);\n const objs = matrixToObjects(header, body);\n\n // Heuristic: columns contain Service/Designation/Call Sign/Frequency/Hours/Remarks\n const joinedHeader = header.join(\" \").toLowerCase();\n const isComm =\n /service|callsign|freq|frequency|hours|hr|remarks|satvoice|logon/.test(\n joinedHeader,\n ) ||\n objs.some((o) =>\n /MHZ|KHZ|CH[\\s\\h]*[0-9]/i.test(Object.values(o).join(\" \"))\n );\n\n if (!isComm) continue;\n\n for (const o of objs) {\n const entry = {\n service: o[\"Service\"] || o[\"Service Designation\"] ||\n o[\"Service Designation\"] || o[\"1\"],\n designation: o[\"Designation\"] || undefined,\n callsign: o[\"Call Sign\"] || o[\"Call sign\"] || o[\"CallSign\"] ||\n o[\"Callsign\"] || o[\"Callsign \"] || o[\"2\"],\n frequency: o[\"FREQ\"] ||\n o[\"Channel/Frequency(MHz)\"] ||\n o[\"Channel/Frequency\"] ||\n o[\"Frequency\"] ||\n o[\"3\"],\n hours: o[\"Hours of Operation\"] || o[\"HR\"] || o[\"4\"],\n remarks: o[\"Remarks\"] || o[\"RMK\"] || o[\"5\"] || o[\"7\"],\n satvoice: o[\"SATVOICE number(s)\"] || o[\"SATVOICE\"] || undefined,\n logonAddress: o[\"Logon Address\"] || undefined,\n };\n if (Object.values(entry).some((v) => !!v)) services.push(entry);\n }\n }\n\n return { services };\n}\n\nfunction parseAD224(nodes: HTMLElement[]): AD224_Charts | undefined {\n const tables = findTables(nodes);\n if (tables.length === 0) return undefined;\n\n const charts: ChartEntry[] = [];\n for (const t of tables) {\n // Prefer direct parsing via DOM anchors to retain URLs\n const rows = Array.from(t.querySelectorAll(\"tr\"));\n for (const tr of rows) {\n const cells = Array.from(tr.querySelectorAll(\"td,th\"));\n if (cells.length === 0) continue;\n const link = cells[0].querySelector(\"a\");\n const name = textClean(cells[0].textContent || \"\");\n const page = textClean(cells[1]?.textContent || \"\");\n if (!name || /chart name/i.test(name)) continue; // skip header row by content\n charts.push({\n name,\n url: link ? (link as HTMLAnchorElement).href : undefined,\n page: page || undefined,\n });\n }\n }\n return { charts };\n}\n\nexport async function parseAIP(\n html: string,\n sourceUrl?: string,\n): Promise {\n const dom = new JSDOM(html);\n const doc = dom.window.document;\n const provider = getProvider(doc, sourceUrl);\n\n const headings = findAllAdHeadings(doc);\n const sectionsById = new Map<\n SectionId,\n { heading: HTMLElement; content: HTMLElement[] }\n >();\n\n for (const h of headings) {\n const t = textClean(h.textContent || \"\");\n for (const id of Object.keys(AD_SECTION_TITLES) as SectionId[]) {\n if (AD_SECTION_TITLES[id].test(t) && !sectionsById.has(id)) {\n sectionsById.set(id, {\n heading: h as HTMLElement,\n content: collectSectionContent(h as HTMLElement),\n });\n }\n }\n }\n\n const out: AerodromeAD2 = { meta: { sourceUrl, provider } };\n\n if (sectionsById.get(\"2.1\")) {\n out.ad21 = parseAD21(sectionsById.get(\"2.1\")!.content);\n }\n if (sectionsById.get(\"2.2\")) {\n out.ad22 = parseAD22(sectionsById.get(\"2.2\")!.content, provider);\n }\n if (sectionsById.get(\"2.12\")) {\n out.ad212 = parseAD212(sectionsById.get(\"2.12\")!.content, provider);\n }\n if (sectionsById.get(\"2.18\")) {\n out.ad218 = parseAD218(sectionsById.get(\"2.18\")!.content, provider);\n }\n if (sectionsById.get(\"2.24\")) {\n out.ad224 = parseAD224(sectionsById.get(\"2.24\")!.content);\n }\n\n return out;\n}","import { JSDOM } from \"npm:jsdom\";\n\nexport interface AD21_Location {\n locationIndicator: string; // e.g., \"EGBE\"\n name: string; // e.g., \"COVENTRY\"\n}\n\nexport interface AD22_AerodromeData {\n arp?: string;\n directionAndDistance?: string;\n elevationRefTempMeanLowTemp?: string;\n geoidUndulation?: string;\n magVarAnnualChange?: string;\n administrationAddress?: string;\n telephone?: string;\n fax?: string;\n email?: string;\n web?: string;\n afsAftn?: string;\n trafficPermitted?: string; // IFR/VFR\n remarks?: string;\n // raw key->value pairs if we can't normalize a row\n raw?: Record;\n}\n\nexport interface RunwayEnd {\n designator: string; // \"05\", \"23\", \"18\", \"36\"\n trueBearing?: string;\n dimensions?: string; // \"1825 x 46 M\" or \"949 x 30\"\n surfaceStrength?: string; // \"ASPH, PCN-15/F/B/X/U\" or \"PCN 48/F/B/X/U\"\n thrCoordinates?: string; // \"522153.62N 0012918.26W\"\n thrElevation?: string; // \"THR 266.7 FT\" or numbers\n highestTDZ?: string; // when available\n slope?: string; // when available\n runwayEndCoordinates?: string; // Avinor provides \"RWY end COORD\"\n runwaySurfaceEndCoordinates?: string; // Avinor \"RWY SFC end COORD\"\n remarks?: string;\n}\n\nexport interface AD212_RunwayPhysical {\n runways: RunwayEnd[];\n // Optional “secondary” table info\n secondary?: Array>; // SWY/CWY/RESA/Strip/OFZ/Remarks rows\n}\n\nexport interface AD218_Comms {\n services: Array<{\n service?: string;\n designation?: string;\n callsign?: string;\n frequency?: string; // keep as string to preserve units \"MHZ\"\n hours?: string;\n remarks?: string;\n satvoice?: string;\n logonAddress?: string;\n }>;\n}\n\nexport interface ChartEntry {\n name: string;\n url?: string; // if linked\n page?: string; // \"AD 2 ENSH 2 - 1\", etc\n}\n\nexport interface AD224_Charts {\n charts: ChartEntry[];\n}\n\nexport interface AerodromeAD2 {\n ad21?: AD21_Location;\n ad22?: AD22_AerodromeData;\n ad212?: AD212_RunwayPhysical;\n ad218?: AD218_Comms;\n ad224?: AD224_Charts;\n meta?: {\n sourceUrl?: string;\n provider?: \"NATS\" | \"AVINOR\" | \"OTHER\";\n };\n}\n\nconst AD_SECTION_TITLES = {\n \"2.1\": /AD[\\s\\h]*2\\.1\\b/i,\n \"2.2\": /AD[\\s\\h]*2\\.2\\b/i,\n \"2.12\": /AD[\\s\\h]*2\\.12\\b/i,\n \"2.18\": /AD[\\s\\h]*2\\.18\\b/i,\n \"2.24\": /AD[\\s\\h]*2\\.24\\b/i,\n};\n\ntype SectionId = keyof typeof AD_SECTION_TITLES;\n\nfunction textClean(s?: string | null): string {\n return (s ?? \"\")\n .replace(/\\u00AD/g, \"\") // soft hyphen\n .replace(/[\\s\\h]+/g, \" \")\n .trim();\n}\n\n// function getProvider(doc: Document): AerodromeAD2[\"meta\"][\"provider\"] {\n// const host = textClean(doc.querySelector(\"base\")?.href || \"\");\n// const html = doc.documentElement.outerHTML;\n// if (/nats\\.co\\.uk/i.test(html) || /aurora\\.nats\\.co\\.uk/i.test(html)) {\n// return \"NATS\";\n// }\n// if (/avinor\\.no/i.test(html)) return \"AVINOR\";\n// return \"OTHER\";\n// }\nfunction getProvider(\n doc: Document,\n sourceUrl?: string,\n): AerodromeAD2[\"meta\"][\"provider\"] {\n const html = doc.documentElement.outerHTML;\n if (\n (sourceUrl && /nats\\.co\\.uk/i.test(sourceUrl)) || /nats\\.co\\.uk/i.test(html)\n ) return \"NATS\";\n if (\n (sourceUrl && /avinor\\.no/i.test(sourceUrl)) || /avinor\\.no/i.test(html)\n ) return \"AVINOR\";\n return \"OTHER\";\n}\n\n// Find all headings that look like “AD 2.x …”\nfunction findAllAdHeadings(doc: Document): HTMLElement[] {\n const candidates = Array.from(doc.querySelectorAll(\"h1,h2,h3,h4,h5\"));\n return candidates.filter((h) => /AD[\\s\\h]*2\\.\\d+/.test(h.textContent || \"\"));\n}\n\n// // Get the content nodes that belong to one AD 2.x heading, up to next AD 2.* heading\n// function collectSectionContent(start: HTMLElement): HTMLElement[] {\n// const content: HTMLElement[] = [];\n// let el = start.nextElementSibling as HTMLElement | null;\n// while (el) {\n// if (\n// /^h[1-5]$/i.test(el.tagName) &&\n// /AD[\\s\\h]*2\\.\\d+/.test(el.textContent || \"\")\n// ) break;\n// content.push(el);\n// el = el.nextElementSibling as HTMLElement | null;\n// }\n// return content;\n// }\n\nfunction collectSectionContent(start: HTMLElement): HTMLElement[] {\n const content: HTMLElement[] = [];\n let el: HTMLElement | null = start;\n while ((el = el.nextElementSibling as HTMLElement | null)) {\n const txt = textClean(el.textContent || \"\");\n if (/AD[\\s\\h]*2\\.\\d+/.test(txt)) break;\n content.push(el);\n }\n return content;\n}\n\n// Extract first table inside nodes; optionally all tables\nfunction findTables(nodes: HTMLElement[]): HTMLTableElement[] {\n return nodes.flatMap((n) => Array.from(n.querySelectorAll(\"table\")));\n}\n\n// Convert a table to a matrix of strings\nfunction tableToMatrix(table: HTMLTableElement): string[][] {\n const rows = Array.from(table.querySelectorAll(\"tr\"));\n return rows.map((tr) =>\n Array.from(tr.querySelectorAll(\"th,td\")).map((td) =>\n textClean(td.textContent)\n )\n );\n}\n\n// Generic: pick best header row (heuristic)\nfunction detectHeaderRow(\n matrix: string[][],\n): { header: string[]; body: string[][] } {\n if (matrix.length === 0) return { header: [], body: [] };\n // Heuristic: prefer first row with >=2 non-empty cells and with at least one non-numeric header word\n for (let i = 0; i < Math.min(3, matrix.length); i++) {\n const r = matrix[i];\n const nonEmpty = r.filter((c) => c).length;\n const hasWordy = r.some((c) => /[A-Za-z]/.test(c));\n if (nonEmpty >= 2 && hasWordy) {\n return { header: r, body: matrix.slice(i + 1) };\n }\n }\n // fallback: treat first row as header\n return { header: matrix[0] || [], body: matrix.slice(1) };\n}\n\n// Map body rows to objects by header\nfunction matrixToObjects(\n header: string[],\n body: string[][],\n): Record[] {\n return body\n .map((row) => {\n const o: Record = {};\n header.forEach((h, i) => {\n const key = textClean(h).replace(/[\\s\\h]*\$.*?\$[\\s\\h]*/g, \"\"); // trim parentheticals\n o[key || `col${i + 1}`] = textClean(row[i] || \"\");\n });\n return o;\n })\n .filter((o) => Object.values(o).some((v) => v));\n}\n\n// Key-value tables: try to read “label -> value” across rows\nfunction parseKeyValueMatrix(matrix: string[][]): Record {\n const out: Record = {};\n for (const row of matrix) {\n if (row.length === 0) continue;\n // Common shapes: [num?, label, value] or [label, value]\n if (row.length >= 3 && /^[0-9]+$/.test(row[0])) {\n const label = row[1] || \"\";\n const value = row.slice(2).join(\" \").trim();\n if (label) out[label] = value;\n } else if (row.length >= 2) {\n const label = row[0] || \"\";\n const value = row.slice(1).join(\" \").trim();\n if (label) out[label] = value;\n }\n }\n return out;\n}\n\n// Section-specific parsers\n\nfunction parseAD21(nodes: HTMLElement[]): AD21_Location | undefined {\n // Often the page title or the first heading includes “EGBE — COVENTRY” etc.\n // Try heading text, else look in AD 2.1 table.\n const heading = nodes[0]?.closest(\"body\")?.querySelector(\"h1,h2,h3\");\n const hText = textClean(heading?.textContent || \"\");\n // Pattern like \"EGBE — COVENTRY\" or \"(...) — NAME\"\n const m = hText.match(/\\b([A-Z]{4})\\b[\\s\\h]*[-—][\\s\\h]*(.+)$/);\n if (m) return { locationIndicator: m[1], name: textClean(m[2]) };\n\n const tables = findTables(nodes);\n for (const t of tables) {\n const mtx = tableToMatrix(t);\n const kv = parseKeyValueMatrix(mtx);\n // Try locate indicator/name keys if present\n for (const [k, v] of Object.entries(kv)) {\n if (/location indicator/i.test(k) || /indicator/i.test(k)) {\n const parts = v.split(/[\\s\\h]*[-—][\\s\\h]*/);\n if (parts.length >= 2) {\n return {\n locationIndicator: textClean(parts[0]),\n name: textClean(parts.slice(1).join(\"—\")),\n };\n }\n }\n }\n }\n return undefined;\n}\n\nfunction parseAD22(\n nodes: HTMLElement[],\n provider: AerodromeAD2[\"meta\"][\"provider\"],\n): AD22_AerodromeData | undefined {\n const tables = findTables(nodes);\n if (tables.length === 0) return undefined;\n\n // Merge key-value tables\n const rawMerged: Record = {};\n for (const t of tables) {\n const mtx = tableToMatrix(t);\n const kv = parseKeyValueMatrix(mtx);\n for (const [k, v] of Object.entries(kv)) {\n if (!rawMerged[k]) rawMerged[k] = v;\n }\n }\n\n // Normalize common fields by fuzzy key matching\n const get = (...alts: RegExp[]) => {\n const entry = Object.entries(rawMerged).find(([k]) =>\n alts.some((r) => r.test(k))\n );\n return entry?.[1];\n };\n\n const ad22: AD22_AerodromeData = {\n arp: get(/ARP/i, /coordinates/i),\n directionAndDistance: get(/Direction.*distance/i),\n elevationRefTempMeanLowTemp: get(\n /Elevation.*Reference.*Mean.*Low/i,\n /ELEV.*REF.*Mean/i,\n ),\n geoidUndulation: get(/Geoid.*undulation/i),\n magVarAnnualChange: get(/Mag.*Var/i),\n administrationAddress: get(/Administration.*Address/i, /Address/i),\n telephone: get(/Telephone/i),\n fax: get(/^Fax/i),\n email: get(/E-?mail/i),\n web: get(/Web/i),\n afsAftn: get(/AFS|AFTN/i),\n trafficPermitted: get(/Types of traffic/i),\n remarks: get(/^RMK/i, /Remarks?/i),\n raw: Object.keys(rawMerged).length ? rawMerged : undefined,\n };\n\n return ad22;\n}\n\nfunction parseAD212(\n nodes: HTMLElement[],\n provider: AerodromeAD2[\"meta\"][\"provider\"],\n): AD212_RunwayPhysical | undefined {\n const tables = findTables(nodes);\n if (tables.length === 0) return undefined;\n\n const runways: RunwayEnd[] = [];\n const secondary: Array> = [];\n\n for (const t of tables) {\n const matrix = tableToMatrix(t);\n const { header, body } = detectHeaderRow(matrix);\n const objs = matrixToObjects(header, body);\n\n // Heuristic: runway table contains a column with \"RWY\" or \"Designations\" or looks like designator values in first column\n const headerStr = header.join(\" \").toLowerCase();\n const looksRunway = /designations|rwy|runway/.test(headerStr) ||\n body.some((r) => r[0] && /^[0-9]{2}[A-Z]?$|^[0-9]{2}$/.test(r[0]));\n\n const looksSecondary = /SWY|CWY|Strip|RESA|OFZ/i.test(header.join(\" \")) ||\n /SWY|CWY|RESA|OFZ/i.test(\n objs.map((o) => Object.keys(o).join(\" \")).join(\" \"),\n );\n\n if (looksRunway) {\n for (const o of objs) {\n const designator = o[\"Designations RWY Number\"] ||\n o[\"RWY\"] ||\n o[\"Runway\"] ||\n o[\"Designations\"] ||\n o[\"1\"] ||\n o[\"col1\"];\n if (!designator) continue;\n\n const rw: RunwayEnd = {\n designator: textClean(designator),\n trueBearing: o[\"True bearing\"] || o[\"BRG GEO\"] || o[\"Bearing\"],\n dimensions: o[\"Dimensions of RWY\"] || o[\"DMN\"] || o[\"DMN (M)\"] ||\n o[\"Dimensions\"],\n surfaceStrength: o[\"Surface of RWY/ SWY/ Strength\"] ||\n o[\"SFC - RWY\"] ||\n o[\"Surface\"] ||\n [o[\"SFC - RWY\"], o[\"Strength\"]].filter(Boolean).join(\" \").trim(),\n thrCoordinates: o[\"THR co-ordinates/ THR Geoid undulation\"] ||\n o[\"THR COORD\"],\n thrElevation:\n o[\"THR elevation/ Highest elevation of TDZ of precision APP RWY\"] ||\n o[\"THR ELEV (FT)\"],\n highestTDZ: o[\"Highest elevation of TDZ of precision APP RWY\"],\n slope: o[\"Slope of RWY/ SWY\"] || o[\"RWY/RESA Slope\"],\n runwayEndCoordinates: o[\"RWY end COORD\"],\n runwaySurfaceEndCoordinates: o[\"RWY SFC end COORD\"],\n remarks: o[\"Remarks\"] || o[\"RMK\"],\n };\n\n // When a row splits over two lines (e.g., NATS shows each end separately), matrix objects will reflect them separately anyway\n runways.push(rw);\n }\n } else if (looksSecondary) {\n secondary.push(...objs);\n }\n }\n\n return { runways, secondary: secondary.length ? secondary : undefined };\n}\n\nfunction parseAD218(\n nodes: HTMLElement[],\n provider: AerodromeAD2[\"meta\"][\"provider\"],\n): AD218_Comms | undefined {\n const tables = findTables(nodes);\n if (tables.length === 0) return undefined;\n\n const services: AD218_Comms[\"services\"] = [];\n\n for (const t of tables) {\n const matrix = tableToMatrix(t);\n const { header, body } = detectHeaderRow(matrix);\n const objs = matrixToObjects(header, body);\n\n // Heuristic: columns contain Service/Designation/Call Sign/Frequency/Hours/Remarks\n const joinedHeader = header.join(\" \").toLowerCase();\n const isComm =\n /service|callsign|freq|frequency|hours|hr|remarks|satvoice|logon/.test(\n joinedHeader,\n ) ||\n objs.some((o) =>\n /MHZ|KHZ|CH[\\s\\h]*[0-9]/i.test(Object.values(o).join(\" \"))\n );\n\n if (!isComm) continue;\n\n for (const o of objs) {\n const entry = {\n service: o[\"Service\"] || o[\"Service Designation\"] ||\n o[\"Service Designation\"] || o[\"1\"],\n designation: o[\"Designation\"] || undefined,\n callsign: o[\"Call Sign\"] || o[\"Call sign\"] || o[\"CallSign\"] ||\n o[\"Callsign\"] || o[\"Callsign \"] || o[\"2\"],\n frequency: o[\"FREQ\"] ||\n o[\"Channel/Frequency(MHz)\"] ||\n o[\"Channel/Frequency\"] ||\n o[\"Frequency\"] ||\n o[\"3\"],\n hours: o[\"Hours of Operation\"] || o[\"HR\"] || o[\"4\"],\n remarks: o[\"Remarks\"] || o[\"RMK\"] || o[\"5\"] || o[\"7\"],\n satvoice: o[\"SATVOICE number(s)\"] || o[\"SATVOICE\"] || undefined,\n logonAddress: o[\"Logon Address\"] || undefined,\n };\n if (Object.values(entry).some((v) => !!v)) services.push(entry);\n }\n }\n\n return { services };\n}\n\nfunction parseAD224(nodes: HTMLElement[]): AD224_Charts | undefined {\n const tables = findTables(nodes);\n if (tables.length === 0) return undefined;\n\n const charts: ChartEntry[] = [];\n for (const t of tables) {\n // Prefer direct parsing via DOM anchors to retain URLs\n const rows = Array.from(t.querySelectorAll(\"tr\"));\n for (const tr of rows) {\n const cells = Array.from(tr.querySelectorAll(\"td,th\"));\n if (cells.length === 0) continue;\n const link = cells[0].querySelector(\"a\");\n const name = textClean(cells[0].textContent || \"\");\n const page = textClean(cells[1]?.textContent || \"\");\n if (!name || /chart name/i.test(name)) continue; // skip header row by content\n charts.push({\n name,\n url: link ? (link as HTMLAnchorElement).href : undefined,\n page: page || undefined,\n });\n }\n }\n return { charts };\n}\n\nexport async function parseAIP(\n html: string,\n sourceUrl?: string,\n): Promise {\n const dom = new JSDOM(html);\n const doc = dom.window.document;\n const provider = getProvider(doc, sourceUrl);\n\n const headings = findAllAdHeadings(doc);\n const sectionsById = new Map<\n SectionId,\n { heading: HTMLElement; content: HTMLElement[] }\n >();\n\n for (const h of headings) {\n const t = textClean(h.textContent || \"\");\n for (const id of Object.keys(AD_SECTION_TITLES) as SectionId[]) {\n if (AD_SECTION_TITLES[id].test(t) && !sectionsById.has(id)) {\n sectionsById.set(id, {\n heading: h as HTMLElement,\n content: collectSectionContent(h as HTMLElement),\n });\n }\n }\n }\n\n const out: AerodromeAD2 = { meta: { sourceUrl, provider } };\n\n if (sectionsById.get(\"2.1\")) {\n out.ad21 = parseAD21(sectionsById.get(\"2.1\")!.content);\n }\n if (sectionsById.get(\"2.2\")) {\n out.ad22 = parseAD22(sectionsById.get(\"2.2\")!.content, provider);\n }\n if (sectionsById.get(\"2.12\")) {\n out.ad212 = parseAD212(sectionsById.get(\"2.12\")!.content, provider);\n }\n if (sectionsById.get(\"2.18\")) {\n out.ad218 = parseAD218(sectionsById.get(\"2.18\")!.content, provider);\n }\n if (sectionsById.get(\"2.24\")) {\n out.ad224 = parseAD224(sectionsById.get(\"2.24\")!.content);\n }\n\n return 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{ getAirportsIndex } from \"./airports.ts\";\nimport { parseAIP } from \"./parse.ts\";\n\nexport default async function (req: Request): Promise {\n const data = await getAirportsIndex();\n\n const searchParams = new URL(req.url).searchParams;\n\n if (searchParams.has(\"airport\")) {\n const requestedAirport = searchParams.get(\"airport\").trim().toUpperCase();\n\n let url = null;\n try {\n url = data.airports[requestedAirport];\n if (!url) {\n throw new Error();\n }\n } catch {\n return Response.json(`No data for specified airport ${requestedAirport}`);\n }\n\n const res = await fetch(url);\n const html = await res.text();\n const result = await parseAIP(html, url);\n\n return Response.json(result);\n }\n\n return Response.json(data);\n}",[137],"15357190-92e3-11f0-8ea2-0224a6c84d84","airports.ts","2b1307ee-92bf-11f0-ac5d-0224a6c84d84",92,["D",1758016445938],37,"import { blob } from \"https://esm.town/v/std/blob\";\nimport { ValTownBlobNotFoundError } from \"https://esm.town/v/std/ValTownBlobNotFoundError\";\nimport { parseVal } from \"https://esm.town/v/std/utils/parseImportMeta.ts\";\n\nimport { JSDOM } from \"npm:jsdom\";\nimport { Cycle } from \"npm:airac-cc\";\n\nfunction getCurrentCycle() {\n return Cycle.fromDate(new Date());\n}\n\nfunction getEffectiveDate(cycle): string {\n return cycle.effectiveStart.toISOString().slice(0, 10);\n}\n\nfunction getAirportsNATS(cycleStart: string): string {\n const path = new URL(\n `https://www.aurora.nats.co.uk/htmlAIP/Publications/${cycleStart}-AIRAC/html/eAIP/EG-AD-0.1-en-GB.html`,\n );\n return path.toString();\n}\n\nasync function getAirportsAvinor(cycleStart: string): string {\n const response = await fetch(\"https://aim-prod.avinor.no/no/AIP/\");\n const path = new URL(\n `${cycleStart}-AIRAC/html/eAIP/EN-AD-0.6-en-GB.html`,\n response.url,\n );\n return path.toString();\n}\n\nfunction getIdentifierFromLink(link: string): string | null {\n if (!link) {\n return null;\n }\n const pattern = /AD-(\\d+)\\.(.+?)-/;\n const match = link.match(pattern);\n if (Number.parseInt(match[1].toString()) === 1) {\n return null;\n }\n return match ? match[2].toString() : null;\n}\n\nasync function getAirports(aip) {\n const respose = await fetch(aip);\n const html = await respose.text();\n const doc = (new JSDOM(html)).window.document;\n const result = {};\n\n doc.querySelectorAll(\"h3 > a\").forEach((a) => {\n const link = a.href;\n const icao = getIdentifierFromLink(link);\n if (icao) {\n result[icao] = new URL(link, aip).toString();\n }\n });\n\n return result;\n}\n\nexport async function getAirportsIndex() {\n const cycle = getCurrentCycle();\n const effective = getEffectiveDate(cycle);\n\n const meta = parseVal(import.meta.url);\n try {\n const cachedResult = await blob.getJSON(meta.name);\n if (cachedResult && cachedResult.metadata.effective === effective) {\n return cachedResult;\n }\n } catch (e: any) {\n if (!(e instanceof ValTownBlobNotFoundError)) {\n console.error(\n `Error requesting val.town blob storage: ${e}`,\n );\n return;\n }\n }\n\n const natsPath = getAirportsNATS(effective);\n const avinorPath = await getAirportsAvinor(effective);\n\n const natsAirports = await getAirports(natsPath);\n const avinorAirports = await getAirports(avinorPath);\n\n const airportsIndex = {\n \"metadata\": {\n \"cycle\": cycle.identifier,\n \"effective\": effective,\n },\n \"airports\": {\n ...natsAirports,\n ...avinorAirports,\n },\n };\n\n await blob.setJSON(meta.name, airportsIndex);\n\n return 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Diff · v100