feat: add info engine MVP pipeline and dashboard page

Introduce a standalone scheduled info-engine worker with SQLite persistence and expose read-only dashboard APIs/UI so curated intelligence items can be collected and viewed with minimal architecture changes.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

info-engine/db.py

@@ -0,0 +1,64 @@
+import json
+import os
+from datetime import datetime, timezone
+
+import aiosqlite
+
+DB_PATH = os.environ.get("DB_PATH", "/app/data/info_engine.db")
+
+
+async def init_db():
+    async with aiosqlite.connect(DB_PATH) as db:
+        await db.execute(
+            """
+            CREATE TABLE IF NOT EXISTS info_items (
+                id INTEGER PRIMARY KEY AUTOINCREMENT,
+                source TEXT NOT NULL,
+                title TEXT NOT NULL,
+                summary TEXT NOT NULL,
+                url TEXT NOT NULL UNIQUE,
+                tags TEXT NOT NULL,
+                published_at DATETIME,
+                collected_at DATETIME NOT NULL,
+                content_text TEXT,
+                content_html TEXT
+            )
+            """
+        )
+        await db.execute("CREATE INDEX IF NOT EXISTS idx_info_items_collected_at ON info_items(collected_at DESC)")
+        await db.execute("CREATE INDEX IF NOT EXISTS idx_info_items_published_at ON info_items(published_at DESC)")
+        await db.execute("CREATE INDEX IF NOT EXISTS idx_info_items_source ON info_items(source)")
+        await db.commit()
+
+
+async def upsert_items(items: list[dict]) -> int:
+    if not items:
+        return 0
+
+    inserted = 0
+    now = datetime.now(timezone.utc).isoformat()
+
+    async with aiosqlite.connect(DB_PATH) as db:
+        for item in items:
+            cursor = await db.execute(
+                """
+                INSERT OR IGNORE INTO info_items
+                (source, title, summary, url, tags, published_at, collected_at, content_text, content_html)
+                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
+                """,
+                (
+                    item["source"],
+                    item["title"],
+                    item.get("summary", ""),
+                    item["url"],
+                    json.dumps(item.get("tags", []), ensure_ascii=False),
+                    item.get("published_at"),
+                    now,
+                    item.get("content_text"),
+                    item.get("content_html"),
+                ),
+            )
+            inserted += cursor.rowcount
+        await db.commit()
+
+    return inserted