feat: add employee news links parsing and storage

tests/test_db_schema.py

@@ -69,3 +69,47 @@ def test_runtime_schema_creates_employee_publications_table_when_employees_exist
     assert "employee_publications" in inspector.get_table_names()
     columns = {column["name"] for column in inspector.get_columns("employee_publications")}
     assert {"employee_id", "publication_id", "doi_url", "authors", "raw_data", "source_hash"}.issubset(columns)
+
+
+def test_runtime_schema_creates_employee_news_links_table_when_employees_exist(monkeypatch):
+    engine = create_engine("sqlite:///:memory:")
+    with engine.begin() as connection:
+        connection.execute(
+            text(
+                """
+                CREATE TABLE employees (
+                  id INTEGER PRIMARY KEY,
+                  profile_key VARCHAR(255) NOT NULL UNIQUE,
+                  canonical_url TEXT NOT NULL,
+                  status VARCHAR(32) NOT NULL DEFAULT 'active',
+                  first_seen_at DATETIME NOT NULL,
+                  last_seen_at DATETIME NOT NULL,
+                  created_at DATETIME NOT NULL,
+                  updated_at DATETIME NOT NULL
+                )
+                """
+            )
+        )
+        connection.execute(
+            text(
+                """
+                CREATE TABLE crawl_runs (
+                  id INTEGER PRIMARY KEY,
+                  source_url TEXT NOT NULL,
+                  status VARCHAR(32) NOT NULL DEFAULT 'running',
+                  found_count INTEGER NOT NULL DEFAULT 0,
+                  parsed_count INTEGER NOT NULL DEFAULT 0,
+                  skipped_count INTEGER NOT NULL DEFAULT 0
+                )
+                """
+            )
+        )
+    monkeypatch.setattr("app.db.engine", engine)
+
+    _ensure_runtime_schema()
+    _ensure_runtime_schema()
+
+    inspector = inspect(engine)
+    assert "employee_news_links" in inspector.get_table_names()
+    columns = {column["name"] for column in inspector.get_columns("employee_news_links")}
+    assert {"employee_id", "title", "url", "summary", "published_at", "published_year", "source_hash", "raw_data"}.issubset(columns)