gov-scraper: 마스터 사업계획서 + 공고 매칭/추출 스크립트 추가

- docs/business-plans.md: Tasteby/Lyricsy/Parents Story 3개 앱 PSST 사업계획서 초안
- scripts/match.js: 앱별 주제 키워드 매칭 조회
- scripts/eligible.js: 예비창업자 자격 + 현재 열린 공고 목록
- scripts/export_eligible_csv.js: 신청 추적용 CSV(exports/) 생성
- exports/ gitignore

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

government/scripts/match.js

@@ -0,0 +1,70 @@
+// 앱 후보별로 매칭되는 정부지원사업을 gov_opportunity 에서 조회한다.
+// 실행: LD_LIBRARY_PATH=$ORACLE_IC_LIB_DIR node scripts/match.js
+import { withConnection, closePool, oracledb } from '../src/db.js';
+
+// 앱별 주제 키워드(제목/분야/대상/주관기관 대상으로 LIKE)
+const APPS = {
+  Tasteby: ['외식', '맛집', '음식', '푸드', '소상공인', '관광', '로컬', '지역특화', '상권', '데이터바우처', 'AI바우처', '빅데이터'],
+  Lyricsy: ['콘텐츠', '한류', '케이팝', 'K-팝', '음악', '뮤직', '어학', '한국어', '에듀테크', '웹툰', '문화산업', '글로벌진출'],
+  ParentsStory: ['시니어', '고령', '노인', '실버', '돌봄', '복지', '사회적가치', '사회문제', '헬스케어', '웰니스', '온디바이스', '기록'],
+};
+
+async function queryApp(conn, keywords) {
+  // 키워드 OR 조건 (title/category/target/agency)
+  const binds = {};
+  const ors = keywords.map((kw, i) => {
+    binds[`k${i}`] = `%${kw}%`;
+    return `(title LIKE :k${i} OR category LIKE :k${i} OR target LIKE :k${i} OR agency LIKE :k${i})`;
+  });
+  const sql = `
+    SELECT * FROM (
+      SELECT title, category, agency, source_code, detail_url,
+             apply_end,
+             CASE WHEN apply_end IS NULL OR apply_end >= TRUNC(SYSDATE) THEN 1 ELSE 0 END AS is_open,
+             CASE WHEN apply_end IS NULL THEN 9999 ELSE (apply_end - TRUNC(SYSDATE)) END AS dleft,
+             ROW_NUMBER() OVER (PARTITION BY title ORDER BY CASE source_code WHEN 'kstartup' THEN 1 WHEN 'bizinfo' THEN 2 ELSE 3 END) rn
+        FROM gov_opportunity
+       WHERE ${ors.join(' OR ')}
+    )
+    WHERE rn = 1
+    ORDER BY is_open DESC, dleft ASC
+    FETCH FIRST 14 ROWS ONLY`;
+  const r = await conn.execute(sql, binds, { outFormat: oracledb.OUT_FORMAT_OBJECT });
+  return r.rows;
+}
+
+async function countOpen(conn, keywords) {
+  const binds = {};
+  const ors = keywords.map((kw, i) => {
+    binds[`k${i}`] = `%${kw}%`;
+    return `(title LIKE :k${i} OR category LIKE :k${i} OR target LIKE :k${i} OR agency LIKE :k${i})`;
+  });
+  const r = await conn.execute(
+    `SELECT COUNT(DISTINCT title) total,
+            COUNT(DISTINCT CASE WHEN apply_end IS NULL OR apply_end >= TRUNC(SYSDATE) THEN title END) open_now
+       FROM gov_opportunity WHERE ${ors.join(' OR ')}`,
+    binds,
+    { outFormat: oracledb.OUT_FORMAT_OBJECT }
+  );
+  return r.rows[0];
+}
+
+function fmtDate(d) {
+  if (!d) return '상시/별도';
+  return new Date(d).toISOString().slice(0, 10);
+}
+
+await withConnection(async (conn) => {
+  for (const [app, keywords] of Object.entries(APPS)) {
+    const cnt = await countOpen(conn, keywords);
+    console.log(`\n##### ${app} — 주제 매칭 총 ${cnt.TOTAL}건 (현재 신청가능 ${cnt.OPEN_NOW}건) #####`);
+    const rows = await queryApp(conn, keywords);
+    for (const r of rows) {
+      const tag = r.IS_OPEN === 1 ? (r.DLEFT === 9999 ? '[상시]' : `[D-${r.DLEFT}]`) : '[마감]';
+      console.log(
+        `${tag}\t${r.SOURCE_CODE}\t${r.CATEGORY || '-'}\t${(r.AGENCY || '-').slice(0, 16)}\t${r.TITLE.slice(0, 50)}\t${r.DETAIL_URL || '-'}`
+      );
+    }
+  }
+});
+await closePool();