feat: add HK parish parser functions (Tasks 2-6) with tests
Implements entry splitter, name extractor, field extractor, time normalizer, schedule line parser, and weekday day-prefix parser. All 26 tests pass. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
albertfj114
@@ -56,3 +56,262 @@ interface ImportStats {
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schedulesWritten: number;
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skipped: number;
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}
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// ─── Parser ───────────────────────────────────────────────────────────────────
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const ARTIFACT_LINES = new Set(['share', 'path', 'close', '']);
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const LANG_PATTERN = /(Cantonese|English|Tagalog|Chinese)/i;
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// ─── Task 2: Entry splitter and name extractor ────────────────────────────────
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/**
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* Split raw file text into individual entry strings.
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* Entries are delimited by "Path\nClose" which appears in every entry.
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* The header segment ("HONG KONG CHURCHES\n\n...") before the first entry is discarded.
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*/
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export function splitEntries(raw: string): string[] {
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const text = raw.replace(/\r\n/g, '\n').replace(/\r/g, '\n');
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const parts = text.split('\nPath\nClose\n');
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const entries: string[] = [];
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for (let i = 1; i < parts.length; i++) {
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const pre = parts[i - 1];
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const body = parts[i];
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entries.push(pre + '\nPath\nClose\n' + body);
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}
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return entries;
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}
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/**
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* Extract location name and parish name from the pre-marker text of an entry.
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*/
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export function extractNames(preMarker: string): { locationName: string; parishName: string | null } {
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const lines = preMarker
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.split('\n')
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.map(l => l.trimEnd())
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.filter(l => {
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const lower = l.trim().toLowerCase();
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return !ARTIFACT_LINES.has(lower) && !l.startsWith(' ');
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})
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.filter(l => l.trim().length > 0);
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const nameLines = lines.slice(-2);
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if (nameLines.length === 0) return { locationName: 'Unknown', parishName: null };
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if (nameLines.length === 1) return { locationName: nameLines[0].trim(), parishName: null };
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return {
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locationName: nameLines[1].trim(),
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parishName: nameLines[0].trim(),
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};
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}
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// ─── Task 3: Field extractor ──────────────────────────────────────────────────
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/**
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* Extract address, phone, email from the entry body (text after Path/Close).
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* Full-width parentheses （ ） are normalised to ASCII ( ).
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*/
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export function extractFields(body: string): { address: string | null; phone: string | null; email: string | null } {
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const normalise = (s: string) => s.replace(/（/g, '(').replace(/）/g, ')').trim();
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function extractField(fieldName: string): string | null {
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const regex = new RegExp(`\\b${fieldName}\\n([\\s\\S]*?)(?:\\n\\n|\\nFax|\\nEmail|\\nWebsite|\\nChurch|\\nParish|\\nAssistant|\\nDeacon|\\nResident|\\nRector|\\nP\\.C|\\nPastoral|\\nMass Time|$)`, 'i');
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const m = body.match(regex);
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if (!m) return null;
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const value = m[1].replace(/\n/g, ' ').trim();
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return value || null;
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}
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const address = extractField('Address');
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const rawPhone = extractField('Phone');
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const email = extractField('Email');
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return {
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address: address ? normalise(address) : null,
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phone: rawPhone ? normalise(rawPhone) : null,
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email: email || null,
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};
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}
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// ─── Task 4: Time normalizer ──────────────────────────────────────────────────
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/**
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* Normalise a time string to "HH:MM" 24-hour format.
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* Accepts: "8:00am", "11:30 am", "7:00 a.m.", "12:00 noon", etc.
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* Returns null if no valid time found.
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*/
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export function normalizeTime(raw: string): string | null {
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const s = raw.trim().toLowerCase();
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if (s.includes('noon')) {
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const m = s.match(/(\d{1,2}):(\d{2})\s*noon/);
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if (m) return `${String(parseInt(m[1], 10)).padStart(2, '0')}:${m[2]}`;
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if (s === '12:00 noon' || s === '12:00noon') return '12:00';
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}
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const m = s.match(/(\d{1,2}):(\d{2})\s*(am|pm|a\.m\.|p\.m\.)/);
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if (!m) return null;
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let h = parseInt(m[1], 10);
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const min = parseInt(m[2], 10);
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const period = m[3].replace(/\./g, '').toLowerCase();
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if (period === 'am') {
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if (h === 12) h = 0;
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} else {
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if (h !== 12) h += 12;
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}
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return `${String(h).padStart(2, '0')}:${String(min).padStart(2, '0')}`;
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}
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// ─── Task 5: Schedule line parser ────────────────────────────────────────────
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const CONDITIONAL_PATTERN = /^([\w\s]+(?:Sunday|Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|month)[^:]*:)\s*/i;
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/**
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* Parse a single schedule text line into 0-N ParsedSchedule records.
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* dayOfWeek: the fixed day for this section (0=Sun, 6=Sat for Anticipated).
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*/
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export function parseScheduleLine(line: string, dayOfWeek: number): ParsedSchedule[] {
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let remainder = line.trim();
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let language = 'English';
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let sectionNotes: string | null = null;
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// Extract language tag (with or without closing paren)
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const langMatch = remainder.match(/\(?(Cantonese|English|Tagalog|Chinese)\)?/i);
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if (langMatch) {
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const raw = langMatch[1].toLowerCase();
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language = raw === 'cantonese' || raw === 'chinese' ? 'Cantonese'
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: raw === 'tagalog' ? 'Tagalog'
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: 'English';
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remainder = remainder.replace(langMatch[0], '').trim();
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}
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// Strip "Saturday" / "on Saturday" anchors (Anticipated Sunday section)
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remainder = remainder.replace(/\bSaturday\b/gi, '').replace(/\bon\b/gi, '').trim();
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// Extract conditional note prefix
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const condMatch = remainder.match(CONDITIONAL_PATTERN);
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if (condMatch) {
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sectionNotes = condMatch[1].replace(/:$/, '').trim();
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remainder = remainder.slice(condMatch[0].length);
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}
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// Split by comma into time tokens
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const tokens = remainder.split(',').map(t => t.trim()).filter(Boolean);
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const results: ParsedSchedule[] = [];
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for (const token of tokens) {
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const time = normalizeTime(token);
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if (!time) continue;
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// Anything in the token that isn't the time or period is a note
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const noteText = token
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.replace(/\d{1,2}:\d{2}\s*(am|pm|a\.m\.|p\.m\.|noon)/i, '')
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.replace(/\s+/g, ' ')
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.trim() || null;
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results.push({
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dayOfWeek,
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time,
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language,
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notes: noteText || sectionNotes,
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});
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}
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return results;
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}
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// ─── Task 6: Weekday day-prefix parser ───────────────────────────────────────
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const DAY_ABBREV: Record<string, number> = {
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mon: 1, tue: 2, wed: 3, thur: 4, thu: 4, fri: 5, sat: 6, sun: 0,
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};
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const DAY_FULL: Record<string, number> = {
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monday: 1, tuesday: 2, wednesday: 3, thursday: 4, friday: 5, saturday: 6, sunday: 0,
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};
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function parseDays(prefix: string): number[] {
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const s = prefix.toLowerCase().replace(/\./g, '').replace(/:/g, '').trim();
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// Range: "monday to friday" or "mon to sat"
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const rangeMatch = s.match(/(\w+)\s+to\s+(\w+)/);
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if (rangeMatch) {
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const fromDay = DAY_FULL[rangeMatch[1]] ?? DAY_ABBREV[rangeMatch[1]];
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const toDay = DAY_FULL[rangeMatch[2]] ?? DAY_ABBREV[rangeMatch[2]];
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if (fromDay !== undefined && toDay !== undefined) {
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return Array.from({ length: toDay - fromDay + 1 }, (_, i) => fromDay + i);
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}
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}
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// List: "mon, tue, thur" or "tue & sat"
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const tokens = s.split(/[,&\s]+/).map(t => t.trim()).filter(Boolean);
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const days = tokens
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.map(t => DAY_FULL[t] ?? DAY_ABBREV[t])
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.filter((d): d is number => d !== undefined);
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return [...new Set(days)];
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}
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// Matches a day-prefix at the start of a token (requires trailing space/colon)
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const DAY_PREFIX_RE = /^((?:(?:Mon|Tue|Wed|Thur|Thu|Fri|Sat|Sun)\w*\.?\s*(?:[,&]\s*(?:Mon|Tue|Wed|Thur|Thu|Fri|Sat|Sun)\w*\.?\s*)*(?:to\s+\w+\.?\s*)?)|(?:(?:Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|Sunday)(?:\s+to\s+\w+)?))[\s:]+/i;
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// Matches a token that is ONLY a day (or day list) with no time — e.g. "Mon." "Tue."
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const PURE_DAY_RE = /^((?:Mon|Tue|Wed|Thur|Thu|Fri|Sat|Sun)\w*\.?|(?:Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|Sunday))\.?$/i;
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/**
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* Parse a weekday mass line that may have day prefixes.
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* Algorithm: split by comma, process each token; track current days across tokens.
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*/
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export function parseWeekdayLine(line: string): ParsedSchedule[] {
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let remainder = line.trim();
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let language = 'English';
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const langMatch = remainder.match(/\(?(Cantonese|English|Tagalog|Chinese)\)?/i);
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if (langMatch) {
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const raw = langMatch[1].toLowerCase();
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language = raw === 'cantonese' || raw === 'chinese' ? 'Cantonese'
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: raw === 'tagalog' ? 'Tagalog' : 'English';
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remainder = remainder.replace(langMatch[0], '').replace(/\s*\(\s*$/, '').trim();
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}
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const results: ParsedSchedule[] = [];
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const tokens = remainder.split(',').map(t => t.trim()).filter(Boolean);
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let currentDays: number[] = [1, 2, 3, 4, 5]; // default Mon–Fri
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let accumulatedDays: number[] = []; // day-only tokens accumulate here until a time appears
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for (const token of tokens) {
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const prefixMatch = token.match(DAY_PREFIX_RE);
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if (prefixMatch) {
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const days = parseDays(prefixMatch[1]);
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const timePart = token.slice(prefixMatch[0].length);
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const time = normalizeTime(timePart);
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if (time) {
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// Merge any previously accumulated day-only tokens with this token's days
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const mergedDays = accumulatedDays.length > 0
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? [...new Set([...accumulatedDays, ...days])]
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: days.length > 0 ? days : currentDays;
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accumulatedDays = [];
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if (mergedDays.length > 0) currentDays = mergedDays;
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for (const day of currentDays) results.push({ dayOfWeek: day, time, language, notes: null });
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} else {
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// Day-only token via prefix match: accumulate
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if (days.length > 0) accumulatedDays.push(...days);
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}
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} else if (PURE_DAY_RE.test(token)) {
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// Pure day token like "Mon." "Tue." "Tuesday" — accumulate
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const days = parseDays(token);
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if (days.length > 0) accumulatedDays.push(...days);
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} else {
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const time = normalizeTime(token);
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if (time) {
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// Apply any accumulated days, then reset
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if (accumulatedDays.length > 0) {
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currentDays = [...new Set(accumulatedDays)];
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accumulatedDays = [];
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}
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for (const day of currentDays) results.push({ dayOfWeek: day, time, language, notes: null });
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}
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}
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}
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return results;
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}
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