OptETF Deploy
Deploy OptETF web app (cache-only on server, cross-platform paths, tz+dedup fixes) for HF Spaces
e8ccbfa | """Gemini 訪談回覆的本地規則檢查。""" | |
| from __future__ import annotations | |
| INTERVIEW_DONE_MARKERS = ( | |
| "訪談到此結束", | |
| "完成這次的 ETF 偏好訪談", | |
| "完成這次 ETF 偏好訪談", | |
| "感謝您的參與", | |
| "謝謝您完成", | |
| ) | |
| MAX_VISIBLE_REPLY_CHARS = 180 | |
| def is_interview_done(model_text: str) -> bool: | |
| """判斷 Gemini 是否已經用固定語意結束訪談。""" | |
| normalized = model_text.replace(" ", "") | |
| return any(marker.replace(" ", "") in normalized for marker in INTERVIEW_DONE_MARKERS) | |
| def validate_gemini_reply(model_text: str) -> list[str]: | |
| """檢查 Gemini 回覆是否違反我們的訪談規則。""" | |
| warnings = [] | |
| normalized = model_text.strip() | |
| question_count = normalized.count("?") + normalized.count("？") | |
| done = is_interview_done(normalized) | |
| if "THOUGHT" in normalized.upper(): | |
| warnings.append("reply_contains_thought_marker") | |
| if len(normalized) > MAX_VISIBLE_REPLY_CHARS: | |
| warnings.append(f"reply_too_long:{len(normalized)}>{MAX_VISIBLE_REPLY_CHARS}") | |
| if not done and question_count == 0: | |
| warnings.append("reply_has_no_question_before_completion") | |
| if not done and question_count > 1: | |
| warnings.append(f"reply_has_multiple_questions:{question_count}") | |
| if done and question_count > 0: | |
| warnings.append("completion_reply_should_not_ask_question") | |
| return warnings | |