Considering data fetch options
I need to find out if the user wants real-time data through a web request, but first, I should ask which season and categories they're interested in. It's important to clarify if they want per game stats, totals, or advanced metrics. I might suggest generating code for APIs like balldontlie or nba.com, but I know sometimes those APIs could be blocked. So, first, I'll ask about their preferences and provide a default option for the current season's leaders in specific stats.Offering player data options
I should ask the user if they want to set a threshold for qualified players, like a minimum number of games played. It's also important to check if they prefer a Chinese response. To streamline things, I could generate a Python snippet for fetching data from Basketball-Reference using pandas read_html. Instead of risking inaccuracies with historical stats, I’ll ask specific questions: which season, which stats, live data or historical, and output format. I want to keep everything concise and focused on their preferences!
想要哪一季、哪些榜单、用什么口径？给我这几项我就直接生成榜单给你：
- 赛季：例如
2024-25（本赛季）或具体年份 - 阶段：
常规赛/季后赛 - 口径：
场均/总计/高级（PER、WS、BPM、EPM 等） - 指标：PTS、REB、AST、STL、BLK、3PM、FG%、3P%、FT%、TS%、USG%、PER…（可多选）
- 名次：Top10 / Top20 / Top50
- 资格筛选（可选）：最少出场/分钟、位置、球队
需要我实时抓取最新数据并给出榜单吗？可以直接回复例如： “2024-25 常规赛 场均 PTS/REB/AST/TS% Top10，最少20场” 我会返回榜单；或者我也可以生成一段 Python 脚本帮你导出 CSV。
