"""Issue queries. No Flask imports; take an explicit sqlite3 connection.

Queries filter on `issues.project_id`, which is backed by the
`idx_issues_project_id` index (Stage 4.2; docs/analysis/optional-indexes.sql).
"""

ISSUE_COLUMNS = "id, project_id, title, state, created_at, html_url, user"


def _rows(cur):
    return [dict(row) for row in cur.fetchall()]


def list_recent_issues(db, limit=10):
    return _rows(
        db.execute(
            f"SELECT {ISSUE_COLUMNS} FROM issues "
            "ORDER BY created_at DESC LIMIT ?",
            (limit,),
        )
    )


def list_issues_for_project(db, project_id, limit=None):
    sql = (
        f"SELECT {ISSUE_COLUMNS} FROM issues "
        "WHERE project_id = ? ORDER BY created_at DESC"
    )
    params = (project_id,)
    if limit is not None:
        sql += " LIMIT ?"
        params = (project_id, limit)
    return _rows(db.execute(sql, params))


def search_issues(db, keyword, limit=None):
    like = f"%{keyword}%"
    sql = (
        f"SELECT {ISSUE_COLUMNS} FROM issues "
        "WHERE title LIKE ? ORDER BY created_at DESC"
    )
    params = (like,)
    if limit is not None:
        sql += " LIMIT ?"
        params = (like, limit)
    return _rows(db.execute(sql, params))