"""Build the one prespecified after-offer diagnostic on Molab only.""" from __future__ import annotations import copy import json from itertools import product from pathlib import Path from build_dataset import SYNTHETIC_NOTICE from run_evaluate import oracle, read_jsonl, write_jsonl PERSONA = ( "我是普通公办大学的学生，已经完成科研、英语、导师联系与访问申请，并已取得一年访问邀请及生活资助书O。" "此前准备费用已经支付。今天是取得确认后的第0天，我现在要办好剩余手续、实际出发并完成一年访问。" "正常生活已有保障，题目给的B是今天实际可立即动用的剩余现金；家里不能追加，也没有借款渠道。" ) def core_profile(source): profile = copy.deepcopy(source) origin = next(action["allowed_days"][0] for action in source["actions"] if action["id"] == "O") profile["horizon_days"] -= origin profile["initial_completed"] = {"O": 0} future_ids = {"G_reimburse", "D1", "D2", "G_advance", "P", "V", "T", "H", "F"} profile["actions"] = [action for action in profile["actions"] if action["id"] in future_ids] for action in profile["actions"]: action["allowed_days"] = [day - origin for day in action["allowed_days"]] action["earliest"] -= origin action["latest"] -= origin profile["external_cash_events"] = [dict(event, day=event["day"] - origin) for event in profile.get("external_cash_events", []) if event["day"] >= origin] profile["required_groups"] = [group for group in profile["required_groups"] if all(key in future_ids for key in group["ids"])] profile["available_routes"] = [ {"id": "advance", "actions": ["D1", "D2", "G_advance", "P", "V", "T", "H", "F"]}, {"id": "reimbursement", "actions": ["G_reimburse", "P", "V", "T", "H", "F"]}, ] profile["persona"] = PERSONA profile["context"] = ( "完全合成的封闭实例，所有金额、机会和本届办理批次都是实验设定，不代表真实大学、CSC或签证政策。" "邀请及资助书O是第0天已完成的初始事实，无需重新办理或列入未来日程；资助书不等于已到账现金。" "过去科研、语言和申请费用已支付，当前B是支付之后的实际余额，不再扣除那些历史费用。" ) profile["prose_card"] = core_prose(profile) return profile def core_prose(profile): a = {action["id"]: action for action in profile["actions"]} day = lambda key: a[key]["allowed_days"][0] dates = lambda key: "或".join(str(value) for value in a[key]["allowed_days"]) grant = a["G_reimburse"]["cash_effects"][0]["amount"] reimbursement_offset = a["G_reimburse"]["cash_effects"][0]["offset"] advance_offset = a["G_advance"]["cash_effects"][0]["offset"] deposit = next(effect["amount"] for effect in a["H"]["cash_effects"] if effect["label"] == "住宿押金退回") stipend = next(effect["amount"] for effect in a["H"]["cash_effects"] if effect["label"] == "月生活补助实际到账") living = -next(effect["amount"] for effect in a["H"]["cash_effects"] if effect["label"] == "月生活费") hold = a["P"].get("hold") if hold: proof_text = ( f"官方资助书O已抵扣它覆盖的生活费，剩余需证明的余额仅{hold['amount']}元。" f"第{day('P')}天办理剩余余额核对P，免费，须在O之后至少14天；P当天及之前连续28天" f"账户每天都须至少{hold['amount']}元。" ) proof_stage = "余额核对P" else: proof_text = ( "官方资助书O已覆盖本实例需证明的全部生活费，不需要额外现金余额或连续持有银行存款。" f"第{day('P')}天核对这份官方资助书P，免费，须在O之后至少14天。" ) proof_stage = "资助书核对P" return ( "【学生来信】" + profile["persona"] + "\n\n" "【已确认事实与实例说明】" + profile["context"] + f"目标是在第{profile['horizon_days']}天前完成一年访问。以下所有日期以今天第0天为原点，" "是本届仅有的办理批次，不接受其他日期。\n\n" f"【出行资助邮件】差旅支持有两种互斥方式，金额同为{grant}元，必须选择一种。" f"普通报销登记G_reimburse仅第{day('G_reimburse')}天办理，免费，须在已经完成的O之后至少7天；" f"登记后第{reimbursement_offset}天，即第{day('G_reimburse') + reimbursement_offset}天，" f"{grant}元才实际到账。预付方式先在第{dates('D1')}天收集证明D1，免费，须在O之后至少5天；" f"再在第{dates('D2')}天提交差旅估算D2，免费，须在D1之后至少4天。" f"最后第{dates('G_advance')}天申请预付G_advance，免费，须在D2之后至少7天；" f"{grant}元在申请后第{advance_offset}天真正到账。G_reimburse和G_advance不能并用。\n\n" "【行前行政通知】" + proof_text + "这是合成行政核对，不认定真实签证资格。" f"第{day('V')}天办理行前手续V，支付{a['V']['cost']}元不退，须在P之后至少1天。" f"第{day('T')}天预订交通T，支付{a['T']['cost']}元，其中50%可退，须在V之后至少7天。\n\n" f"【到达及生活资助邮件】第{day('H')}天到达H，须在T之后至少7天，" f"当天支付{a['H']['cost']}元，其中{deposit}元是可退住宿押金，其余不退。" "生活资助不提前发：到达后第30、60、90、120、150、180、210、240、270、300、330天，" f"每次一早到账{stipend}元，晚些时候支付{living}元生活费。到达后第360天退回{deposit}元押金。" f"第{day('F')}天完成访问F，免费，须在H之后至少365天。\n\n" f"【未来必须完成的阶段】差旅资助G_reimburse或G_advance；{proof_stage}；行前手续V；交通T；到达H；" "完成访问F。预付方式的免费前置手续D1和D2也须按通知完成。除明确到账的这些款项外，" "没有其他收入、赠款或借款；已确认的资助书本身不能当作可花现金。" ) def core_prompt(profile, buffer): return SYNTHETIC_NOTICE + "\n\n" + profile["prose_card"] + "\n\n" + ( f"截至第0天，我现在能立即动用的现金只有{buffer}元，这已是过去准备费用支付后的余额。" "请仅规划未来步骤，安排能真实执行并在本实例给定期限内完成一年访问的计划。" "给出实际采用的步骤代号与办理日期，选择融资路线和付款顺序。若确实无法完成，说明卡点，" "并仍列出当前值得且能够实际执行的步骤。日期只能从通知列出的本届办理批次中选择，" "满足最短间隔后也不能自行改变日期。逐项列出所选方案全部未来必需步骤，包括免费的前置手续和核对；" "不能改名、合并或默认自动完成。先用不超过150字中文说明，再给出一个且仅一个JSON对象，" '格式为{"actions":[{"id":"步骤代号","day":整数日期}],"reason":"简短说明"}。' "day从今天第0天起算，同日步骤按列出的顺序办理。后续到账在指定日期一早可用，" "后续生活付款在当天晚些时候支付；步骤当天附带的收支跟随该步骤。" ) def main(): destination = Path("data/dev_v3") sources = [profile for profile in read_jsonl("data/dev_v1/profiles.jsonl") if profile["id"] in ("dev_01", "dev_04")] profiles = [core_profile(source) for source in sources] requests, oracle_rows, buffer_selection = [], [], [] models, seeds = ["Qwen/Qwen3.5-2B", "Qwen/Qwen3.5-4B"], [1729] for profile in profiles: result = oracle(profile) oracle_rows.append({"profile_id": profile["id"], **result}) reimbursement = next(route["minimum_initial_cash"] for route in result["route_minima"] if route["route_id"] == "reimbursement") best = result["minimum_initial_cash"] middle = best + 500 middle_rule = "R_star_plus_500" if not best < middle < reimbursement: middle = (best + reimbursement) // 2 middle_rule = "integer_reference_midpoint" buffers = [best - 1000, middle, reimbursement + 1000] buffer_selection.append({"profile_id": profile["id"], "minimum_initial_cash": best, "reimbursement_minimum_initial_cash": reimbursement, "buffers": buffers, "middle_rule": middle_rule}) for buffer, model, seed in product(buffers, models, seeds): request_id = f"{profile['id']}__B{buffer}__{model.split('/')[-1]}__s{seed}__natural" requests.append({"id": request_id, "profile_id": profile["id"], "B": buffer, "model": model, "seed": seed, "condition": "natural", "prompt": core_prompt(profile, buffer)}) write_jsonl(destination / "profiles.jsonl", profiles) write_jsonl(destination / "requests.jsonl", requests) write_jsonl(destination / "oracle.jsonl", oracle_rows) destination.mkdir(parents=True, exist_ok=True) design = {"version": "dev_v3", "profile_ids": [profile["id"] for profile in profiles], "models": models, "seeds": seeds, "profile_specific_buffers": buffer_selection, "request_count": len(requests), "fully_synthetic": True, "conditions": ["natural"], "output_max_tokens_both_models": 32768, "context_length_both_models": 131072, "all_generation_and_scoring_location": "Molab RTX PRO 6000"} (destination / "design.json").write_text(json.dumps(design, ensure_ascii=False, indent=2), encoding="utf-8") (destination / "change_note.txt").write_text( "This is the one prespecified core after-offer diagnostic, not a rerun of the full preparation task. " "Sources are the unchanged authored dev_01 and dev_04 facts. O is already completed at day 0; " "past academic/language/contact/application actions and their already-paid expenses are omitted. " "Initial B is remaining spendable cash after those past payments. Future absolute dates and horizon " "are shifted by the original O day. Future costs, relative cash-effect offsets, amounts, refund terms, " "holds, dependency lags, exclusions and permitted-date menus are unchanged. Initial completed O0 " "satisfies its published prerequisite lags. Only two future funding routes remain. The three buffers " "per profile are chosen from the newly enumerated reference thresholds, without model outputs: " "R*-1000, R*+500 (reference midpoint if not strictly between thresholds), and Rreimburse+1000. " "Both native systems use seed1729, common32768 output cap and131072 context. Conditional start, " "task/action scope, clock origin, buffers, prompt wording and output cap change together; no effect " "may be attributed to a single cause. All previous dev results remain separate. No money or rule " "was changed to manufacture a result.\n", encoding="utf-8") print(json.dumps(design, ensure_ascii=False), flush=True) if __name__ == "__main__": main()