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}, - "context_excerpt": "漂浮花园的迷你高尔夫 | - W01 世界与时代背景：架空云海时代的「浮屿花园」——园艺师们在漂浮于云海的花屿上经营三洞试炼球场，庆祝春分的推杆大会今夜开杆。 | - S01 类型：3D 俯视迷你高尔夫（单人杆数制）。本测例包含的能力：三洞冻结球场、蓄力击球物理、坡面反弹摩擦、瞄准线与轨迹残影反馈、界外复位与罚杆、双镜头模式、开场/结算视频。", - "context_method": "deterministic title/world/core-loop excerpts; full brief retained locally" - }, - "tasks": [ - { - "task": { - "game_id": "G056_garden_minigolf", - "task_id": "G056_garden_minigolf_obj_002", - "asset_name": "golf_ball", - "name_zh": "高尔夫球", - "role": "prop", - "input_mode": "text_to_3d", - "prompt": "Single dimpled golf ball with a soft pearl sheen, clean stylized, game-ready, PBR textures, low-poly style, minimal triangle count, flat faceted surfaces, clean silhouette, no fine surface detail", - "seed": 1562, - "decimation_target": 3000, - "texture_size": 1024, - "rig": "none", - "animation_strategy": "procedural", - "spec_ref": "L01", - "poly_policy": "low_poly_priority" - }, - "shared_prompt": "Game context (excerpt): 漂浮花园的迷你高尔夫 | - W01 世界与时代背景：架空云海时代的「浮屿花园」——园艺师们在漂浮于云海的花屿上经营三洞试炼球场，庆祝春分的推杆大会今夜开杆。 | - S01 类型：3D 俯视迷你高尔夫（单人杆数制）。本测例包含的能力：三洞冻结球场、蓄力击球物理、坡面反弹摩擦、瞄准线与轨迹残影反馈、界外复位与罚杆、双镜头模式、开场/结算视频。\nAsset: Single dimpled golf ball with a soft pearl sheen, clean stylized, game-ready, PBR textures, low-poly style, minimal triangle count, flat faceted surfaces, clean silhouette, no fine surface detail", - "reference": null, - "subject_group": "rigid", - "context_condition": "shared_short_context" - }, - { - "task": { - "game_id": "G056_garden_minigolf", - "task_id": "G056_garden_minigolf_obj_003", - "asset_name": "hole_flag", - "name_zh": "球洞与旗杆", - "role": "prop", - "input_mode": "text_to_3d", - "prompt": "Miniature golf hole cup with a slender striped pennant flag and a subtle glow rim, clean stylized, game-ready, PBR textures, low-poly style, minimal triangle count, flat faceted surfaces, clean silhouette, no fine surface detail", - "seed": 1563, - "decimation_target": 6000, - "texture_size": 2048, - "rig": "none", - "animation_strategy": "procedural", - "spec_ref": "L01", - "poly_policy": "low_poly_priority" - }, - "shared_prompt": "Game context (excerpt): 漂浮花园的迷你高尔夫 | - W01 世界与时代背景：架空云海时代的「浮屿花园」——园艺师们在漂浮于云海的花屿上经营三洞试炼球场，庆祝春分的推杆大会今夜开杆。 | - S01 类型：3D 俯视迷你高尔夫（单人杆数制）。本测例包含的能力：三洞冻结球场、蓄力击球物理、坡面反弹摩擦、瞄准线与轨迹残影反馈、界外复位与罚杆、双镜头模式、开场/结算视频。\nAsset: Miniature golf hole cup with a slender striped pennant flag and a subtle glow rim, clean stylized, game-ready, PBR textures, low-poly style, minimal triangle count, flat faceted surfaces, clean silhouette, no fine surface detail", - "reference": null, - "subject_group": "rigid", - "context_condition": "shared_short_context" - } - ], - "input_policy": "shared_short_context_and_reference_only", - "context_limitations": "Text APIs received shared short context plus asset prompt; image APIs received reference only. Full requirements retained as evidence, not sent to APIs.", - "benchmark_metrics": { - "C": { - "status": "UNKNOWN", - "value": null - }, - "Q1": { - "status": "UNKNOWN", - "value": null - }, - "Q2": { - "status": "UNKNOWN", - "value": null - }, - "Q3": { - "status": "UNKNOWN", - "value": null - } - }, - "view_sha256": "edac27f7770d58b09e2e2ec238bef2b4a7cf6b03cc883dea90771e8a24002d3c" -} diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/general_requirement.txt b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/general_requirement.txt deleted file mode 100644 index 8191248194c09c9f5ebb331688280175d3c97afc..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/general_requirement.txt +++ /dev/null @@ -1,264 +0,0 @@ -# 《漂浮花园的迷你高尔夫》｜推杆物理机制输入规范 - -```yaml -case_id: G056 -base_case_id: G056 -title: 漂浮花园的迷你高尔夫 -category: Sports / Rhythm / Physics -tier: S -engine: godot -report_track: Standard -paired_conditions: [R, N] -required_real_clients: 1 -fixed_seed: 1056 -spec_version: v3 -status: DRAFT_LOCAL -mechanism_source: null -task_spec_version: null -task_spec_hash: null -frozen_by: null -frozen_at: null -dependency_hashes: null -``` - -## 0. 标题、版本与使用说明 - -- 作品名：《漂浮花园的迷你高尔夫》；版本：mechanics-v3（2026-10-11 完整性修订：补瞄准线/力度条/轨迹残影、镜头规则、世界设定、演出反馈、视频与正向范围清单）；运行引擎：**Godot 4.x（Windows 桌面构建）**（spec、rubric 与 asset 任务 JSONL 引擎字段保持一致）；输入方式：键盘与鼠标。 -- 原创边界：迷你高尔夫属公有领域玩法；本作全部名称、球场、文案与美术必须原创，不使用任何商业作品的球场设计、角色或造型。 -- 规则优先级：本文件全局数值与规则 ＞ 机制章节 ＞ 球洞实例 ＞ 生成器自由补充；未指定数值可作为明确标注的配置默认值。 -- 本文件用于游戏生成模型；文档存在不等于玩法完成，静态页面或演示视频不能单独证明可玩。 - -## 1. 定位与完整流程 [S01–S06] - -- S01 类型：3D 俯视迷你高尔夫（单人杆数制）。本测例包含的能力：三洞冻结球场、蓄力击球物理、坡面反弹摩擦、瞄准线与轨迹残影反馈、界外复位与罚杆、双镜头模式、开场/结算视频。 -- S02 核心循环一句话：瞄定力度方向 → 击球 → 物理滚动 → 进洞或补杆 → 结算杆数。 -- S03 流程：标题 → 球洞1 → 球洞2 → 球洞3 → 总结算（杆数对比标准杆）；每洞自动开球。 -- S04 最低完整流程：标题、三洞球场、每洞 HUD（当前杆数）、总结算、重开必须全部存在且有真实入口。 -- S05 失败恢复入口：界外自动复位回上一杆位＋罚 1 杆；总结算界面一键重开；Esc 暂停。 -- S06 与种子卡差异：种子卡杆数为「规则化高尔夫全流程」；本包冻结为三洞切片（标准杆 12），P0 局内口径不变。 - -## 2. 完整核心循环与阶段 [S06–S11] - -完整循环：启动与标题 → 球洞1 → 球洞2 → 球洞3 → 总结算 → 重开/返回。每阶段六要素如下（引用本 spec §3–§7 与 §9 对应规则）： - -- S06 启动与标题 - - input：系统启动加载完成（触发方：系统）；玩家按 Enter/点击「开始」 - - precondition：构建可启动且球场按 seed=1056 生成完成 - - state_change：进入「标题」状态；首次进入按 §10 C01 触发开场视频 - - feedback：标题界面按 §9 F10 呈现 - - next_actions：进入「球洞1」 - - outcome：无跨局状态写入（见 §7 V04） -- S07 球洞1（直道平地，标准杆 3） - - input：鼠标瞄准、按住左键蓄力、松开击球、R 重打、C 镜头切换、Esc 暂停（触发方：玩家） - - precondition：洞1 载入完成且球静止于发球点 - - state_change：击球按 G02 公式生成初速 → 物理结算 - - feedback：瞄准线/蓄力条/轨迹残影按 §9 F05 呈现 - - next_actions：入洞 →「球洞2」；8 杆上限 → 强制完成进下一洞 - - outcome：本洞杆数累计局内 -- S08 球洞2（缓上坡＋单挡板折返，标准杆 4） - - input：同 S07（触发方：玩家） - - precondition：洞1 完成（入洞或达上限） - - state_change：载入洞2；坡面与挡板按 L02 冻结 - - feedback：坡面瞄准线变浅提示减速 - - next_actions：入洞 →「球洞3」 - - outcome：杆数累计 -- S09 球洞3（阶梯坡＋双挡板，标准杆 5） - - input：同 S07（触发方：玩家） - - precondition：洞2 完成 - - state_change：载入洞3；阶梯坡与双挡板生效 - - feedback：反弹火花与入洞反馈 - - next_actions：入洞或达上限 →「总结算」（先播 C02） - - outcome：按 V01 结算 -- S10 总结算 - - input：Enter＝重开 / Esc＝返回标题（触发方：玩家） - - precondition：三洞全部完成 - - state_change：进入「总结算」状态 - - feedback：总结算面板显示总杆数、对比标准杆 12、罚杆数 - - next_actions：重开或返回 - - outcome：无跨局写入 -- S11 暂停 - - input：Esc（触发方：玩家） - - precondition：处于任一洞 - - state_change：暂停覆盖层打开；球、物理与蓄力冻结 - - feedback：暂停面板（继续/本洞重打/返回标题/设置） - - next_actions：Esc 或「继续」→ 恢复 - - outcome：恢复后无状态漂移（G04） - -## 3. 数值口径与全局规则 [G01–G05] - -- G01 统一刻度：距离米制；力度为 0–100% 蓄力条（数值常显）；杆数为整数。 -- G02 物理与公式（本包冻结值）：击球初速 v＝蓄力比例 × 12 米/秒；平地滚动摩擦减速度 1.5 米/秒²；坡道沿坡向加速度分量 3.0 米/秒²；碰撞恢复系数 0.6。独立 oracle 数例：平地直线满蓄力 50% 击球 v＝6 米/秒，纯滚动距离＝v²/(2×1.5)＝**12 米**；蓄力 100% 为 48 米。 -- G03 杆数与罚则（本包冻结值）：三洞标准杆 3/4/5（总标准杆 12）；界外复位每次罚 1 杆；每洞杆数上限 8 杆，达上限自动按 8 杆＋累计罚杆记入并进入下一洞（无硬失败）。 -- G04 暂停与随机：Esc 暂停冻结球与物理；窗口失焦自动暂停；fixed_seed=1056 冻结三洞地形布置；本作物理为确定公式，无概率判定。 -- G05 瞄准与轨迹反馈（本包冻结值）：击球准备时显示瞄准虚线——长度＝按当前蓄力的预计纯滚动距离 × 60%，不显示反弹/坡面后路径，坡面段虚线透明度降低 40% 提示减速；蓄力条 0–100% 数值与当前蓄力同步；球滚动中显示轨迹残影（0.5 秒渐隐，仅保留最近一条）。 - -## 4. 操作与输入 [I01–I07] - -- I01 键鼠：鼠标移动＝瞄准方向；按住左键蓄力、松开击球；C＝俯视全览/击球视角切换；R＝本洞重打（罚 1 杆）；Esc＝暂停；结算界面 Enter＝重开。 -- I02 输入语义边界：球滚动中击球无效；蓄力不足 5% 松开视为取消（不耗杆）；暂停/结算期间输入无效；被拒输入不产生杆数变化。 -- I03 无手柄需求。 -- I04 输入优先级：暂停与结算状态阻断全部玩法输入；俯视全览模式下击球无效（须切回击球视角）；同帧多输入按瞄准→蓄力→击球顺序结算。 -- I05 焦点与失焦规则：点击画布捕获输入焦点；面板层阻断点击穿透；窗口失焦自动暂停。 -- I06 UI 必须显示的状态：当前洞号、本洞已用杆数与上限、蓄力条数值、罚杆数、镜头模式提示；HUD 对照见 rubric。 -- I07 输入延迟目标：蓄力/击球按键到画面反馈 ≤ 50 毫秒（手感关键）；镜头切换 ≤ 150 毫秒。 - -## 5. 关卡与内容清单 [L01–L04] - -- L01 生成对象：高尔夫球 1、三洞（洞杯、旗杆、发球点）、坡面与挡板若干、瞄准线与蓄力条 UI、轨迹残影；花园装饰为表现层。 -- L02 球洞（seed=1056 冻结地形）：洞1 直道平地 12 米（标准杆 3）；洞2 缓上坡＋单挡板折返（标准杆 4）；洞3 阶梯坡＋双挡板（标准杆 5）。 -- L03 目标物/交互物/场景/UI 对象：本 spec §3–§9 引用的界面元素（标题/HUD/结算/暂停/视频播放层）与交互物逐类存在且运行时可进入；数量与属性以 L01/L02 与 G 系为准。 -- L04 冻结需求 vs 实现默认 vs 生成自由度：本 spec 明确写出的数值与数量为冻结需求；§9 未冻结的花园装饰与配色为生成自由度，不得评估为缺失；实现默认值必须明确标注且符合核心机制。 - -## 6. 机制系统 [M01–M05] - -- M01 力度方向与物理（主机制） - - input：瞄准＋蓄力击球 - - precondition：球静止且处于击球准备状态（非俯视全览） - - state_change：按 G02 公式生成初速向量 → 球滚动/反弹 - - observable：逐帧球位置采样与初速、距离事件（见 G02 oracle）；`stroke` 事件（含初速与角度） - - invalid_case：滚动中击球、全览模式击球 → 拒绝且不耗杆 - - recovery：球静止即恢复击球准备 -- M02 坡面反弹与摩擦 - - input：地形接触（系统） - - precondition：球与坡面/挡板碰撞 - - state_change：坡面改变速度分量（沿坡 3.0 米/秒²）；碰撞按恢复系数 0.6 反弹 - - observable：接触/反弹事件与速度分量差分 - - invalid_case：无碰撞则纯摩擦结算 - - recovery：— -- M03 界外复位 - - input：球坠出球场边界（系统） - - precondition：球越过 L02 边界 - - state_change：回上一杆位＋罚 1 杆；连续界外不叠加惩罚上限以外的额外状态；镜头回上一杆位 - - observable：`out_of_bounds` 事件（含罚杆字段） - - invalid_case：贴边滚动不触发 - - recovery：复位即恢复击球 -- M04 杆数判定 - - input：球入洞（系统）/ 达上限（系统） - - precondition：球与洞杯判定重叠且速度低于阈值 - - state_change：本洞完成 → 下一洞；达 8 杆上限强制完成；三洞完成 → 总结算 - - observable：`hole_complete` 事件与杆数流水（含罚杆） - - invalid_case：高速掠过洞杯不判入洞（速度阈值） - - recovery：— -- M05 瞄准与轨迹反馈 - - input：瞄准移动／蓄力变化（玩家） - - precondition：击球准备状态 - - state_change：瞄准虚线长度与坡面透明度按 G05 更新；蓄力条数值同步；击球后生成轨迹残影（0.5 秒渐隐，替换旧残影） - - observable：虚线长度采样与预计距离的 60% 对账；残影出现/渐隐事件 - - invalid_case：全览模式不显示虚线（切回即恢复） - - recovery：— - -## 7. 成功、失败与恢复 [V01–V05] - -- V01 成功条件：完成三洞 → 总结算（显示总杆数、对比标准杆 12 与罚杆数）。 -- V02 失败条件：无硬失败态；每洞 8 杆上限强制推进（记为上限完成）。 -- V03 恢复语义：界外自动复位＋罚 1 杆；R 重打本洞（罚 1 杆、回发球点）；结算后一键重开。 -- V04 persistent_state：无（重开全量清空；累计杆数仅本局内保留）。 -- V05 persistent_state 生命周期：当前动作级状态即时结算；当前局级状态（杆数/洞进度）局内保留、重开清空；无跨局保留状态。 -- V06 软锁与不可达处理：不设永久软锁——8 杆上限保证推进；界外复位兜底；任意洞可完成。 - -## 8. 世界设定与创作基线 [W01–W08] - -- W01 世界与时代背景：架空云海时代的「浮屿花园」——园艺师们在漂浮于云海的花屿上经营三洞试炼球场，庆祝春分的推杆大会今夜开杆。 -- W02 场景所在地：浮屿花园的三座花洞——直道花径（洞1）、上坡藤架（洞2）、阶梯石台（洞3），云海在球场边缘流动。 -- W03 玩家身份与当前任务：玩家是见习园艺师「芽衣」；当前任务：在推杆大会上以不超过标准杆的成绩完成三洞，取得正式园丁资格。 -- W04 失败代价与结局表达：本作无失败态；超标准杆仅影响成绩表达；完成则 C02 呈现大会颁奖与花灯升空。 -- W05 叙事来源：三洞＝园艺师资格考试的三个科目（直道基本功/坡度控球/复杂地形）；旗杆与洞杯＝试炼花器；云海边界＝浮屿边界（界外即坠云）。全部原创。 -- W06 视觉风格与色彩材质：明快风格化 3D 花园；主色＝草甸绿（#7CB26B 系）＋花瓣粉（#E8A0B8 系）＋云海白蓝（#C9DCE8 系）；材质以草坪、木挡板、石台为主，光线为春日暖光。 -- W07 环境氛围与声音语言：云海微风的春日花园——常驻风拂草浪与远处鸟鸣；音效语言为「击球脆响＋滚动沙沙＋碰撞闷响＋入洞清脆」，全部音效按 §9 F06 冻结清单交付。 -- W08 故事表达方式：开场视频（C01）交代浮屿与大会 → 三洞推进承载试炼节奏 → 结算视频（C02）收束颁奖；故事只做包装，不改变机制数值。 - -## 9. 演出、镜头与反馈 [F01–F10] - -- F01 视角与镜头（冻结需求）：默认击球视角＝发球/停球点后方第三人称（俯角 45°，距离 5 米），瞄准方向随鼠标旋转；球滚动时镜头平滑跟随球（0.2 秒插值，速度上限 12 米/秒避免甩镜）；球静止 1 秒后镜头回击球准备位；C 键切换「俯视全览」（整洞 60° 俯视，不参与击球）；镜头边界＝球场外框外扩 10%；界外复位/换洞时镜头直接落位（无漂移）。 -- F02 关键操作镜头变化：入洞瞬间镜头轻微推近洞杯 5%（0.5 秒）；出界瞬间镜头短暂拉高 10%（0.4 秒）；无慢动作。 -- F03 输入与延迟：见 I07（击球手感为 S 档核心，≤50 毫秒）。 -- F04 环境常驻效果：花瓣随风飘落（低频）、云海缓慢流动、旗杆旗面摆动；不遮挡瞄准线与洞杯。 -- F05 事件反馈表（事件 → 表现 → 结束条件，全部为冻结需求）： - -| 事件 | 画面表现 | 音效 | 结束条件 | -|---|---|---|---| -| 蓄力开始 | 蓄力条展开＋数值跳动 | 蓄力低鸣（按住循环，音调随力度升高） | 松开或取消 | -| 击球 | 球推出＋草地小尘环＋轨迹残影启动 | 击球脆响 | 残影 0.5s 渐隐 | -| 球滚动 | 轨迹残影跟随＋草浪压痕 | 滚动沙沙（滚动中循环） | 球停 | -| 碰撞挡板 | 火花小粒子＋球体挤压回弹 | 碰撞闷响 | 回弹完成 | -| 上坡减速 | 瞄准线透明度提示（击球前）/球速渐减 | 沙沙声减弱 | 坡段结束 | -| 出界 | 球坠云＋镜头拉高＋「界外＋1 杆」提示 | 坠落风声 | 复位完成 | -| 入洞 | 球旋入洞杯＋旗杆亮灯＋花瓣迸溅 | 入洞清脆音 | 进入下一洞 | -| 达杆数上限 | 「本洞按 8 杆计」横幅 | 低提示音 | 推进下一洞 | -| 三洞完成 | 花灯升空粒子 | 结算上扬音 | 进入总结算 | - -- F06 关键音效清单：蓄力低鸣、击球脆响、滚动沙沙、碰撞闷响、坠落风声、入洞清脆音、低提示音、上扬音；环境音：风拂草浪＋云海低鸣＋远处鸟鸣（常驻循环）；循环音开始/结束：滚动沙沙按滚动起止、蓄力低鸣按按住起止、环境声随球场载入开始、随结算淡出 0.5s；无配音需求。 -- F07 VFX 信息性与遮挡约束：瞄准虚线与蓄力条承担击球信息；轨迹残影承担落点复盘信息；花瓣与草浪粒子单帧 ≤ 35 且不遮挡瞄准线、洞杯与 HUD。 -- F08 音画同步：击球脆响与击球帧同步；碰撞闷响与接触帧同步；入洞清脆音与入洞事件帧同步。 -- F09 屏幕震动：入洞 0.1 秒小幅；碰撞 0.05 秒微幅；设置界面提供「镜头震动开/关」（关闭不影响判定）。 -- F10 前端界面：标题（开始/设置/退出）→ HUD（洞号、杆数/上限、蓄力条数值、罚杆、镜头模式提示）→ 总结算（总杆数/对比标准杆 12/罚杆/重开/返回）→ 暂停面板（继续/本洞重打/返回标题/设置）；关键状态附图标＋文字（镜头模式、界外提示），不只靠颜色区分；窗口失焦自动暂停。 - -## 10. 过场视频 [C01–C02] - -- C01 开场花园（Opening，10 秒，1280×720@24fps） - - 触发时机：首次由标题进入球洞1 之前，每局一次 - - 内容与角色场景：云海之上的浮屿花园全景，花灯次第点亮，见习园艺师「芽衣」握杆走向三洞试炼球场的第一洞发球点 - - 资产对应：浮屿花园、旗杆、高尔夫球与游戏内模型同源设计 - - 可跳过：Esc/Enter 跳过 → 直接进入球洞1；自然播完 → 同 - - 状态一致：播放期间不推进任何计时；进入状态＝0/3 洞 -- C02 推杆大会结算（Ending，10 秒，1280×720@24fps） - - 触发时机：三洞全部完成后、总结算面板之前，每局一次 - - 内容与角色场景：三座花洞灯带依次亮起，花灯升空汇成春分图案，「芽衣」举起推杆向观众席致意 - - 资产对应：球场、花灯、角色与游戏内一致 - - 可跳过：Esc/Enter 跳过 → 直接进入总结算面板；自然播完 → 同 - - 状态一致：仅在真实完成三洞后触发 - -## 11. 范围与正向能力清单 [N01–N06] - -- N01 本测例包含的玩法能力：三洞冻结球场、蓄力击球物理、坡面反弹与摩擦、瞄准线/蓄力条/轨迹残影反馈、界外复位与罚杆、8 杆上限推进、双镜头模式（击球/俯视全览）。 -- N02 本测例包含的流程与界面：标题、三洞推进、总结算、暂停（含失焦自动暂停）、重打与重开。 -- N03 本测例包含的演出能力：开场/结算视频（C01/C02）、§9 F04–F09 全部事件反馈与音效、云海花园氛围。 -- N04 输入范围：键盘＋鼠标（鼠标瞄准/左键蓄力/C/R/Esc/Enter）；无触控、手柄、多人需求。 -- N05 音频范围：§9 F06 冻结音效清单＋花园环境音；无配音与背景音乐轨需求。 -- N06 表现层自由度：§9 未冻结的花卉装饰、配色细节与粒子参数为生成自由度，由 L04 承担，不评估为缺失。 - -## 12. 参考图绑定 [A01] - -- 本测例当前无已绑定参考图；规划的参考图（见习园艺师「芽衣」、高尔夫球与旗杆、三洞球场布局等）已登记于 `asset_tasks/puzzle_survival_rpg_sports/ref_images_manifest.jsonl`（含完整生成 prompt），作为待补前置依赖管理，正式任务 JSONL 不指向不存在文件。 - -## 13. 复杂度档案 - -```yaml -difficulty: - tier: S - complexity_profile: {coupling: C1, persistence: P0, recovery: R1, runtime_complexity: B1, hidden_state: H0} - dominant_dimensions: [recovery] - rationale: "单主闭环（瞄准→蓄力→击球→物理→进洞/补杆）；坡面与反弹均为物理系统内部规则，无跨系统因果链；多球物理与镜头插值并发（B1）；无失败态，界外复位与重打为恢复路径；新增瞄准反馈与镜头模式不改变难度档" - downgrade_boundary: "去掉坡面与挡板（纯平地直道）后仍为 S（更简）" - upgrade_boundary: "若杆数成绩跨洞/跨局保留并解锁新球场规则，升 M/L" - stress_axes: [] -``` - -## 生成任务明确性补充（2026-10-12） - -> 本补充只约束游戏生成输入，不引用 rubric。所有生成器必须以本文件规则和下列 JSONL 任务为准；未列出的装饰细节可以自由发挥，但不得省略已列资产或生命周期。 - -### 故事与流程最低合同 -- **玩家身份与当前冲突**：以 §1、§8 的角色/世界/冲突为唯一叙事入口；开局必须让玩家知道“我是谁、现在要解决什么问题”。 -- **阶段性目标**：必须有可操作的阶段目标、至少一次状态变化/升级，并在 §7 的胜利、失败、重开入口中闭环；不能只生成一个无结果的场景演示。 -- **结果承接**：胜利/失败都要有明确结果文案或演出，并回到可重开、暂停或标题入口；视频、音频和 VFX 不得推进未完成的玩法状态。 - -### 生成任务清单（JSONL 冻结口径） -- scene：1 个；必须生成连贯可游玩的空间，不得出现下半部文字、拼贴面板、物体 lineup 或 UI。 -- object：3 个（text-to-3D 2，image-to-3D 1）；object 任务资产为：gardener_mei, golf_ball, hole_flag。每项只允许一个物体；组合物必须拆成独立任务。 -- motion：2 个；覆盖动作：idle, putt_swing。 -- video/audio/mechanic/UI：分别为 2/9/1/1 个任务；若某项为 0，只能是本案例明确的 N/A，不得默默遗漏。 - -### Video / motion / audio 生命周期 -- Video 每项必须写清 `trigger`、`start_condition`、`duration_sec`、`skippable`、`skip_behavior`、`end_condition` 和进入的下一个游戏状态；播放期间不得偷偷消耗计时或改变战斗/任务数值。 -- Motion 每项必须写清 `source_asset`、`trigger`、`start_condition`、`duration_sec`、`loop`、`end_condition` 和 `cancel_behavior`；动作要与对应输入/机制事件绑定，不可只写“walk animation”。 -- Audio 每项必须写清触发事件、时长、`loop`、`stop_condition`、优先级和 ducking；关键命中/提示音必须与事件帧同步，暂停/结算时按 §9 处理。 - -### Mechanic / UI / 游玩手感 -- Mechanic JSON 与 §1–§7 配对：每个输入都要有 precondition、state_change、feedback、next_state；必须说明失败/禁用分支。 -- UI JSON 与 §9/F10 配对：HUD、菜单、结算、暂停、错误/禁用态要有 state binding；关键状态不能只用颜色表达。 -- 手感冻结：相机跟随/构图、FOV、碰撞/遮挡、镜头调整与镜头震动必须在 §9 说明；震动反馈必须写明触发、强度和持续时间，并提供关闭设置且不改变判定。 - -### VFX 时机合同 -每个特效必须写清 `trigger event`、预备/前摇、active window、持续时间、结束条件、被打断/取消条件，以及和相机震动、音效、UI 的同步关系；命中特效、失败特效、胜利特效不能只写“有粒子”。 - diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/method_selection.md b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/method_selection.md deleted file mode 100644 index 869ae1f54e0eaf8706c0b2865a76c19c00190ee0..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/method_selection.md +++ /dev/null @@ -1,152 +0,0 @@ -# 优先资产：方法选择与执行边界 - -核对日期：2026-10-15。本文是候选方法建议和开跑前检查，不是实验结果，也不是已验证的 -API 配置。评测口径以 `GameFactory-3A/eval/asset_evaluation_plan.md` 为准； -本次没有改动该方案、原始全集或其他五份现有优先生成 JSONL。 - -## 1. 建议首轮组合 - -| 类别 | 首轮建议 | 放在哪组 | 选择理由 / 限制 | -|---|---|---|---| -| 3D Object | Meshy + Tripo + 腾讯云 Hunyuan3D Pro 商用 API | B1 商用生成 API；逐版本核对开放权重状态 | 三家即可；人物/刚体、T2/I2 分组，保持同输入和低模预算 | -| 3D Scene | 新增 World Labs Marble World API；保留 WorldPlay/HY-World 2.1 Scene → WorldMirror → 导出，以及 LLM 布局/组合 | Marble 为 B2 商用 direct 候选；另两路为组合方法对照 | Marble 提供世界生成和 mesh 导出；不拿仅视频输出替代 3D 交付 | -| 自然音 / SFX（看情况吧） | ElevenLabs Sound Effects v2 + Stable Audio 3.0 Large 商用 API | B4 Environment / Foley 子组 | 一个面向音效、一个通用音频基线；先用声音事件和环境音 pilot 验证，不跑成音乐任务 | -| 中文人物语音 | MiniMax Speech（优先验证 `speech-2.8-hd`）+ ElevenLabs TTS 的固定中文支持版本 | B4 Speech 子组 | 当前 38 条都是中文；固定说话人、情绪映射和完整台词 | -| CG | Seedance + MiniMax Hailuo（优先验证 `MiniMax-Hailuo-2.3`） | B3；T2V 与 I2V 分开 | 先跑两家即可，不急着加入第三家；按 API 的时长/分辨率能力冻结共同条件 | -| Motion | MoMask + Puppeteer 对比 LLM 直出；可再加 Meshy Text-to-Motion | 前两路是开放模型链 / 系统对照；Meshy 是 B5 商用 API 候选 | 先满足用户要的两路比较；若 B5 必须有闭源专用生成 API，再加第三路 | -| T-pose | 同一份冻结准备输入 | 不新增主表 | 两个动作方法共享角色输入，不把图像准备差异算成动作模型收益 | - -商用 API 不自动等于闭源模型。特别是 Hunyuan3D 必须登记云端实际版本，不能把本地 -开放权重版本包装成闭源行；MiniMax 的视频实验也要写清 Hailuo 的具体 ID，不能只写品牌。 -MoMask、Puppeteer、WorldPlay、WorldMirror 的源码/模型发布可在官方仓库核对 [R1–R4]。 -上述 API 的能力入口见文末官方来源；账户权限和实际可用版本仍需 pilot 确认。 - -**规模建议**：B1 三家、CG 两家、音频按两种任务各两家；场景优先补 Marble，而不是 -为了凑三列加入不能导出场景的模型。B2 暂时只有一个确认能力范围的商用 direct 候选， -如需至少两家闭源 direct API，仍须找到并实测第二家，不能用组合方法假充。 - -## 2. 为什么按这些方法分组 - -原方案 §1/§4 要求闭源专用生成 API、开放模型与多模型组合分开，首轮主表不混排。 -因此保留用户提出的系统比较，但不悄悄改掉主表含义： - -- B1/B3/B4：按相同任务和输入条件比较商用服务，记录模型的权重开放状态。 -- B2：Marble direct 与 WorldPlay + WorldMirror / LLM composition 分 panel 报告。 -- B5：MoMask 生成人形动作，Puppeteer 在本项目链路中主要承担绑骨/蒙皮准备； - LLM 直出是另一条系统方法。不能把它们标为两个闭源 motion API。 -- 如果研究问题改成“各种资产生成方法谁更适合游戏”，可以增加系统对照表， - 但需要显式修改协议，而不是沿用 `Closed-source method` 表头。 - -为了隔离动作生成能力，建议先冻结一套人形骨架和白模，两路动作采用同一个映射、 -retargeter、20 fps 和接触检查；角色网格、绑骨差异另在第三阶段端到端比较。 -LLM 直出必须交付轨迹/骨骼动画文件，只有 Blender 脚本、文字或预览视频不算交付成功。 - -## 3. 与当前优先清单对齐的阻塞项 - -### 3D Object：低模与上下文能力 - -现有 200 条保留低模 prompt，且 `decimation_target` 最高 8000。 -建议统一保存原始 API mesh 和固定后处理后的导入 mesh，分别报告；不要只给一家减面， -也不要把减面后生成的新几何缺陷完全归给原始模型。 - -Hunyuan3D Pro 的普通模式中 `Prompt` 与图像输入互斥，不能假设 I2 能同时传游戏梗概。 -这类调用按原方案记为 `reference-only` 辅助组；T2 可以拼接冻结的短版梗概。 -其 3.0/3.1 的 LowPoly 支持不同，先确定使用的版本和后处理政策 [R5]。 -其他 I2 API 也逐一核对文本上下文能力，不能只在 judge 阶段补梗概。 - -不要用 `latest` 当作冻结版本。Meshy 文档还提示其 `lowpoly` 模型类型将在 -2026-10-30 退役；现有清单的 `poly_policy: low_poly_priority` 只是实验政策， -不等于必须调用这个即将退役的 API 类型 [R6]。 - -### 3D Scene：交付要有真实场景 - -69 条现有场景任务要求 `output_format: glb`。WorldPlay 的视频需经 WorldMirror 重建 -及场景导出后，才与场景任务对齐；只生成视频不能记 Delivery 成功。 - -Marble 的世界接口返回 splats 和 collider mesh，并另提供高质量带纹理 GLB 导出。 -建议正式 B2/第三阶段使用后者，保存碰撞网格和世界尺度信息；不要拿无外观的 collider -mesh 冒充完整美术场景，也不要把 splat 文件简单改后缀作为 GLB [R7]。 -生成和导出都计入耗时/成本；若导出不可用，保留该任务的未交付状态，不替换成全景图。 - -LLM composition 固定资产池、资产提供者、坐标系统、规划调用数和修补预算； -若它额外调用对象生成器，费用和调用全部计入系统方法，不能只记 LLM 的 token 成本。 - -### Audio：需要按声音任务选方法，不是一种模型跑全部 - -当前非语音 706 条：623 条 `one_shot`、83 条 `ambient_loop`；语音 38 条，全部中文。 -这是分类字段统计；实际循环要求仍以每条任务的 `loop` / 生命周期字段为准。 -非语音时长为 0.15–45 秒，其中 93 条短于 0.5 秒、281 条短于 1 秒、19 条长于 30 秒。 - -ElevenLabs SFX API reference 写 0.5–30 秒，能力总览却写 0.1–30 秒，存在官方文档差异； -开跑前应实测短音边界并保存实际请求/响应，不自行认定所有短音都支持 [R8, R9]。 -Stable Audio 的 API 时长范围也应从具体 endpoint 核对。这里建议验证 3.0 Large 商用服务， -而不是把已开放权重的 3.0 Medium / Small / Small SFX 当作闭源方法 [R10]。 -若账户仍使用 2.5 API，则固定并单列 2.5 版本，不混写成 3.0 的结果 [R16]。 -共同能力子集用于配对排名；其余任务仍留在第三阶段完整清单中，标注能力缺口。 - -解码、重采样到要求的 48 kHz / 24 kHz 可采用同一确定性工具并保存原件。 -短音裁切、长音拼接/循环、生成式延长不是无代价格式转换：如要使用，须预先冻结规则， -单列 pipeline 结果及成本，不能悄悄改任务时长来让 API 通过。 - -语音不得把“游戏梗概 + 角色介绍”拼进需要念出的台词。检查 API 是否有独立的 -instruction/style 通道；没有时仅可使用冻结的 voice/emotion 参数映射，单列标准 TTS -条件，不宣称模型直接读取了梗概。MiniMax 的 TTS 参数和 ElevenLabs 版本入口见 [R11, R12]。 - -### CG：现有任务与 reference-image 协议不一致 - -194 条中 190 条 `text_to_video`、4 条 `image_to_video`，但当前全集和优先清单都没有 -参考图路径字段。不能用这批数据直接声称完成“194 条 reference-image-to-video”评测。 - -建议明确选择：保留 T2V 子表、Q1 预声明 N/A；同时为 I2V 冻结真实的共同参考帧， -补齐路径和来源后再运行 Q1。若要全部改成 I2V，应生成并冻结共享参考图，然后形成新的 -任务版本；不能各视频方法自行画图作为自己的参考。 - -现有时长 4–12 秒、输出 1280×720/24 fps；Hailuo 2.3 文生接口的原生规格是 -768P 的 6/10 秒或 1080P 的 6 秒，不能把原 JSON 原样发出去 [R13]。 -先冻结共同能力 pilot 子集；非原生任务保留并标注，不隐式拉伸视频来满足事件时长。 -Seedance 使用已接入的实际 model ID，先验证能力矩阵，不将品牌名当成版本。 - -### Motion：保留非人形与短动作 - -新增 78 条中，76 条人形、G040 一条 vehicle、G030 一条 mechanical。 -两个非人形任务必须保留用于第三阶段，不能因为 MoMask 主要面向人形就删去。 -按 rig group 单列，不支持时明确记录；需要 procedural 交付时另列方法，不冒充 MoMask 结果。 - -Meshy Text-to-Motion 的官方接口提供自然语言动作和 FBX/BVH，当前时长要求为 -2–10 秒且按 0.5 秒步长 [R14]。它适合补商用动作 API 对照，但不是现有所有短动作的 -无缝替换。LLM 直出也固定同一骨架、帧数和时长，不只比较好看的视频。 - -## 4. 最小执行顺序 - -1. 先为 13 个 L 级游戏准备第三阶段的全部既有资产任务；完整性与模型共同能力子集是两件事。 -2. 选 G003/G025/G040 等 3–5 个游戏做 pilot，覆盖中文语音、RTS 压力、机械/载具边界。 - 每类先挑少量代表任务；这不缩减 L 级正式导入清单。 -3. 冻结游戏梗概、任务/参考输入、适用指标、API 版本、调用次数、超时重试和后处理。 -4. 报 Delivery、C、Q1/Q2/Q3、Coverage 和成本，按游戏宏平均；不挑 best-of，也不将 - 未测能力缺口伪装成 API 生成失败。正式分母政策在开跑前固定。 -5. 第三阶段各 repair 方法共享同一冻结资产包。提前固定每类资产的交付来源，不能按 - 单条 judge 最高分挑选，也不能悄悄用 LLM 补产物来遮盖某个生成方法的失败。 - 若比较资产来源，另设因子并保持 repair 方法与预算一致。 - -## 官方来源 - -- [R1: MoMask](https://github.com/EricGuo5513/momask-codes) -- [R2: Puppeteer](https://github.com/Seed3D/Puppeteer) -- [R3: HY-WorldPlay](https://github.com/Tencent-Hunyuan/HY-WorldPlay) -- [R4: HunyuanWorld-Mirror](https://github.com/Tencent-Hunyuan/HunyuanWorld-Mirror) -- [R5: Hunyuan3D Pro API](https://intl.cloud.tencent.com/ind/document/product/1284/75540) -- [R6: Meshy Text-to-3D](https://docs.meshy.ai/en/api/text-to-3d) -- [R7: World Labs World API](https://docs.worldlabs.ai/api) -- [R8: ElevenLabs Sound Effects API](https://elevenlabs.io/docs/api-reference/text-to-sound-effects/convert) -- [R9: ElevenLabs Sound Effects 能力总览](https://elevenlabs.io/docs/overview/capabilities/sound-effects) -- [R10: Stable Audio 模型及商用 API 入口](https://stability.ai/stable-audio) -- [R11: MiniMax TTS](https://platform.minimax.io/docs/api-reference/speech-t2a-http) -- [R12: ElevenLabs 模型](https://elevenlabs.io/docs/overview/models) -- [R13: MiniMax Hailuo T2V](https://platform.minimax.io/docs/api-reference/video-generation-t2v) -- [R14: Meshy Text-to-Motion](https://docs.meshy.ai/en/api/text-to-motion) -- [R15: Tripo 开发者入口](https://developers.tripo3d.ai/) -- [R16: Stable Audio 2.5 官方发布与 API 入口](https://stability.ai/news-updates/stability-ai-introduces-stable-audio-25-the-first-audio-model-built-for-enterprise-sound-production-at-scale) - -Seedance 的本地封装 `GameFactory-3A/models/gen_cg_video/seedance_model.py` 已登记 -model ID 和官方文档入口；本次网页抓取未能直接读取该火山引擎文档，因此不在本文 -宣称已核对其全部时长/分辨率规格，开跑前仍需 API pilot。 diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/object_requirement.txt b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/object_requirement.txt deleted file mode 100644 index 208ebd0016d36f7d818a97f57900f811ef3679c1..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/object_requirement.txt +++ /dev/null @@ -1,8 +0,0 @@ -# G056_garden_minigolf / 3D_object requirement - -Source of truth: ../general_requirement.txt - -Frozen task inputs: -- gardener_mei: Original apprentice gardener in a petal-trimmed work apron over a mint tunic, straw hat on back, putter in hand, cheerful cartoon style, meadow-green and petal-pink palette, T-pose, game-ready, PBR textures -- golf_ball: Single dimpled golf ball with a soft pearl sheen, clean stylized, game-ready, PBR textures -- hole_flag: Miniature golf hole cup with a slender striped pennant flag and a subtle glow rim, clean stylized, game-ready, PBR textures diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/localization_integrity.json b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/localization_integrity.json deleted file mode 100644 index b5e26b82225164c5824c42345eb3c4d487d935aa..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/localization_integrity.json +++ /dev/null @@ -1,131 +0,0 @@ -{ - 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"texture": true, - "export_uv": true, - "face_limit": 3000, - "model_seed": 1562, - "texture_seed": 1562, - "model_version": "v3.1-20260211", - "smart_low_poly": true, - "texture_quality": "standard", - "geometry_quality": "standard", - "texture_alignment": "geometry" - }, - "output": { - "model_url": "https://openapi.cdn.tripo3d.com/tcli_8a234d301b1e472ebe10d73adcd43336/20261016/cd783413-77e8-42e1-bcd6-d84ad5be8e29/tripo_pbr_model_cd783413-77e8-42e1-bcd6-d84ad5be8e29.glb?auth_key=1792227616-pqkcomig-0-eba7ac6d9e648046750d12adcf16c8cb", - "rendered_image_url": "https://openapi.cdn.tripo3d.com/tcli_8a234d301b1e472ebe10d73adcd43336/20261016/cd783413-77e8-42e1-bcd6-d84ad5be8e29/legacy_mesh.webp?auth_key=1792227616-vsfyywtu-0-db9fdec31f5a03ee924456ab0af9c2f0", - "generated_image_url": "https://openapi.cdn.tripo3d.com/tcli_8a234d301b1e472ebe10d73adcd43336/20261016/cd783413-77e8-42e1-bcd6-d84ad5be8e29/text2image_cd783413-77e8-42e1-bcd6-d84ad5be8e29.jpeg?auth_key=1792227616-fsnbokgr-0-8806cac74661f7f57e63be1b55dc7fd7" - }, - "task_id": "cd783413-77e8-42e1-bcd6-d84ad5be8e29", - "created_at": "2026-10-16T08:57:05.196240Z", - "completed_at": "2026-10-16T09:00:15.561637Z", - "credits_consumed": 30.0 - } - } - } -} diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/receipts/tripo/G056_garden_minigolf__G056_garden_minigolf_obj_003.json b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/receipts/tripo/G056_garden_minigolf__G056_garden_minigolf_obj_003.json deleted file mode 100644 index 634992f7a0afd32e7b4713faeefe0c262ca3d0fd..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/receipts/tripo/G056_garden_minigolf__G056_garden_minigolf_obj_003.json +++ /dev/null @@ -1,54 +0,0 @@ -{ - "submissions": { - "b8e96b785d01a29f1eaf53dbaff2975a25b28006d3f3a0070c6c46363b98e6ee": { - "endpoint": "/generation/text-to-model", - "reserved_credits": 30, - "status": "created", - "remote_id": "ee4bb38a-96e3-49ef-bf95-f53907b9eb7d", - "response": { - "code": 0, - "status": "success", - "data": { - "type": "text_to_model", - "status": "queued", - "task_id": "ee4bb38a-96e3-49ef-bf95-f53907b9eb7d" - } - }, - "reported_credits": 30.0 - } - }, - "results": { - "/tasks/ee4bb38a-96e3-49ef-bf95-f53907b9eb7d": { - "code": 0, - "status": "success", - "data": { - "type": "text_to_model", - "status": "success", - "progress": 100, - "input": { - "pbr": true, - "prompt": "Game context (excerpt): 漂浮花园的迷你高尔夫 | - W01 世界与时代背景：架空云海时代的「浮屿花园」——园艺师们在漂浮于云海的花屿上经营三洞试炼球场，庆祝春分的推杆大会今夜开杆。 | - S01 类型：3D 俯视迷你高尔夫（单人杆数制）。本测例包含的能力：三洞冻结球场、蓄力击球物理、坡面反弹摩擦、瞄准线与轨迹残影反馈、界外复位与罚杆、双镜头模式、开场/结算视频。\nAsset: Miniature golf hole cup with a slender striped pennant flag and a subtle glow rim, clean stylized, game-ready, PBR textures, low-poly style, minimal triangle count, flat faceted surfaces, clean silhouette, no fine surface detail", - "texture": true, - "export_uv": true, - "face_limit": 6000, - "model_seed": 1563, - "texture_seed": 1563, - "model_version": "v3.1-20260211", - "smart_low_poly": true, - "texture_quality": "standard", - "geometry_quality": "standard", - "texture_alignment": "geometry" - }, - "output": { - "model_url": "https://openapi.cdn.tripo3d.com/tcli_8a234d301b1e472ebe10d73adcd43336/20261016/ee4bb38a-96e3-49ef-bf95-f53907b9eb7d/tripo_pbr_model_ee4bb38a-96e3-49ef-bf95-f53907b9eb7d.glb?auth_key=1792227868-fkyitdjc-0-b992f55786163732ed8ff507330a63ba", - "rendered_image_url": "https://openapi.cdn.tripo3d.com/tcli_8a234d301b1e472ebe10d73adcd43336/20261016/ee4bb38a-96e3-49ef-bf95-f53907b9eb7d/legacy_mesh.webp?auth_key=1792227868-harozuco-0-e116d3767acf491181038fb1de8c3792", - "generated_image_url": "https://openapi.cdn.tripo3d.com/tcli_8a234d301b1e472ebe10d73adcd43336/20261016/ee4bb38a-96e3-49ef-bf95-f53907b9eb7d/text2image_ee4bb38a-96e3-49ef-bf95-f53907b9eb7d.jpeg?auth_key=1792227868-uxcslqgf-0-fd81a6201129738568416b6314fd8089" - }, - "task_id": "ee4bb38a-96e3-49ef-bf95-f53907b9eb7d", - "created_at": "2026-10-16T09:00:01.824096Z", - "completed_at": "2026-10-16T09:04:23.778878Z", - "credits_consumed": 30.0 - } - } - } -} diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/models/common/cloud_api.py b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/models/common/cloud_api.py deleted file mode 100644 index 0553c4d55352bbb3fb5ade7c38c53d246484e33f..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/models/common/cloud_api.py +++ /dev/null @@ -1,557 +0,0 @@ -""" -models/common/cloud_api.py - -Shared plumbing for closed-source ("cloud API") model wrappers — the part of -Tripo / Meshy / Rodin / ElevenLabs / Kling wrappers that is identical no matter -what the provider generates. - -Contract: `agent_skills/develop_harness/api_model_require.md` R9. -This module owns R9.6 (submit → poll → download behind a blocking call), -R9.7 (API key from the environment, at call time), R9.8 (response cache, so a -re-run is not re-billed) and R9.9 (retry with backoff, retryable vs. terminal). - -It knows nothing about 3D, audio or video — only HTTP, money and failure modes. - -Dependencies: stdlib at import time; `requests` is imported lazily on first use -so `test/harness/smoke.py` keeps working on a machine that does not have it. - -Usage: - from models.common import cloud_api - - key = cloud_api.require_api_key(None, "TRIPO_API_KEY", - "https://platform.tripo3d.ai/api-keys") - client = cloud_api.CloudAPIClient("https://openapi.tripo3d.ai/v3", key) - data = client.request("POST", "/generation/text-to-model", json={...}) -""" -from __future__ import annotations - -import hashlib -import json -import logging -import os -import time -from pathlib import Path -from typing import Any, Callable, Iterable, Optional - -logger = logging.getLogger(__name__) -logger.addHandler(logging.NullHandler()) - -#: HTTP statuses worth retrying — transient by nature. -RETRYABLE_STATUS: frozenset[int] = frozenset({408, 409, 425, 429, 500, 502, 503, 504}) - -#: HTTP statuses that will never succeed on retry: bad request, auth, quota. -TERMINAL_STATUS: frozenset[int] = frozenset({400, 401, 402, 403, 404, 405, 413, 415, 422}) - - -# ── Errors ──────────────────────────────────────────────────────────────────── - - -class CloudAPIError(RuntimeError): - """ - Base class for every cloud-API failure. - - Attributes: - status: HTTP status code, when the failure came from a response. - task_id: Provider task id, when one had already been created — keep it, - a timed-out task usually finishes anyway and can be fetched - later (`api_model_require.md` R9.6). - payload: Decoded response body, truncated for readability. - """ - - retryable = False - - def __init__(self, message: str, *, status: Optional[int] = None, - task_id: Optional[str] = None, payload: Any = None): - super().__init__(message) - self.status = status - self.task_id = task_id - self.payload = payload - - -class CloudAPIAuthError(CloudAPIError): - """401 / 403 — the key is missing, wrong, or lacks the entitlement.""" - - -class CloudAPIQuotaError(CloudAPIError): - """402 or a provider-specific "insufficient credits" body. Terminal.""" - - -class CloudAPIRequestError(CloudAPIError): - """400 / 404 / 422 — the request itself is wrong. Terminal.""" - - -class CloudAPIServerError(CloudAPIError): - """5xx and connection-level failures. Retryable.""" - - retryable = True - - -class CloudAPIRateLimitError(CloudAPIServerError): - """429 — retryable, honour `Retry-After` when present.""" - - -class CloudTaskFailed(CloudAPIError): - """The provider accepted the task and then reported failure.""" - - -class CloudTaskTimeout(CloudAPIError): - """The task did not reach a terminal state within `timeout` seconds.""" - - -# ── Credentials ─────────────────────────────────────────────────────────────── - - -def require_api_key(value: Optional[str], env_var: str, signup_url: str, - *, who: str = "This model") -> str: - """ - Resolve an API key, failing fast with an actionable message (R1.6 / R9.7). - - Args: - value: Explicit key passed to the constructor, or None. - env_var: Environment variable to fall back to. - signup_url: Where a human gets a key. - who: Name used in the error message. - - Returns: - The key. - - Raises: - CloudAPIAuthError: no key available. - """ - key = value or os.environ.get(env_var) - if key: - return key.strip() - raise CloudAPIAuthError( - f"{who} needs an API key and none was found.\n" - f" 1. get one at {signup_url}\n" - f" 2. export {env_var}= # never commit it\n" - f" (or pass api_key=... to the constructor)" - ) - - -def redact(key: Optional[str]) -> str: - """Key fingerprint safe to put in a log line or `meta.json`.""" - if not key: - return "" - return f"{key[:4]}…{key[-2:]} (len {len(key)})" - - -# ── HTTP ────────────────────────────────────────────────────────────────────── - - -def _requests(): - """Import `requests` lazily with an actionable message (R1.5 / R1.6).""" - try: - import requests # noqa: PLC0415 - except ImportError as e: # pragma: no cover - environment dependent - raise ImportError( - "Cloud-API model wrappers need the `requests` package:\n" - " bash scripts/asset_env_setup/cloud_api_install.sh\n" - " # or simply: python -m pip install requests\n" - "(only needed for the API backends; the local-weight models and " - "test/harness/smoke.py do not import it.)" - ) from e - return requests - - -def _truncate(payload: Any, limit: int = 600) -> Any: - text = payload if isinstance(payload, str) else json.dumps(payload, default=str) - return text if len(text) <= limit else text[:limit] + f"… (+{len(text) - limit} chars)" - - -def classify_http_error(status: int, body: Any, *, - task_id: Optional[str] = None) -> CloudAPIError: - """ - Map an HTTP status onto the right exception class (R9.9). - - The body is inspected too: providers happily answer 200/400 with a - "not enough credits" payload, which must not be retried. - """ - text = _truncate(body) - low = str(text).lower() - # Providers phrase "you are out of money" in prose, and the status code alone - # does not distinguish it from a bad key: Tripo answers **403** with - # "You don't have enough credit to create this task". Matching the body first - # is what keeps "wrong key" and "no money" apart for the caller. - if any(s in low for s in ("insufficient", "enough credit", "enough credits", - "out of credit", "purchase more credit", - "quota exceeded", "no credits", "balance")): - return CloudAPIQuotaError( - f"HTTP {status}: out of credits — {text}", status=status, - task_id=task_id, payload=body) - if status in (401, 403): - return CloudAPIAuthError( - f"HTTP {status}: authentication rejected — {text}", status=status, - task_id=task_id, payload=body) - if status == 402: - return CloudAPIQuotaError( - f"HTTP {status}: payment required — {text}", status=status, - task_id=task_id, payload=body) - if status == 429: - return CloudAPIRateLimitError( - f"HTTP {status}: rate limited — {text}", status=status, - task_id=task_id, payload=body) - if status in TERMINAL_STATUS: - return CloudAPIRequestError( - f"HTTP {status}: request rejected — {text}", status=status, - task_id=task_id, payload=body) - if status in RETRYABLE_STATUS or status >= 500: - return CloudAPIServerError( - f"HTTP {status}: server error — {text}", status=status, - task_id=task_id, payload=body) - return CloudAPIError( - f"HTTP {status}: unexpected response — {text}", status=status, - task_id=task_id, payload=body) - - -class CloudAPIClient: - """ - Thin retrying HTTP client for one provider. - - Args: - base_url: Root of the API, without a trailing slash. - api_key: Bearer token. - timeout: Per-request socket timeout in seconds (not the task timeout). - max_retries: Extra attempts after the first one, for retryable failures. - backoff: Base of the exponential backoff, seconds. - auth_header: Header name / value template, for providers that do not - use `Authorization: Bearer `. - user_agent: Sent as-is; helps providers attribute traffic. - """ - - def __init__( - self, - base_url: str, - api_key: str, - *, - timeout: int = 60, - max_retries: int = 3, - backoff: float = 1.5, - auth_header: str = "Authorization", - auth_template: str = "Bearer {key}", - user_agent: str = "3AGameFactory/0.1 (+https://github.com/OpenDCAI/GameFactory-3A)", - ): - self.base_url = base_url.rstrip("/") - self._api_key = api_key - self.timeout = timeout - self.max_retries = max_retries - self.backoff = backoff - self.auth_header = auth_header - self.auth_template = auth_template - self.user_agent = user_agent - self._session = None - - # -- session --------------------------------------------------------------- - - @property - def session(self): - """Lazily created `requests.Session` (kept alive across polls).""" - if self._session is None: - requests = _requests() - self._session = requests.Session() - self._session.headers.update({ - self.auth_header: self.auth_template.format(key=self._api_key), - "User-Agent": self.user_agent, - }) - return self._session - - def close(self) -> None: - """Idempotent — safe after a failed construction and safe to call twice.""" - if self._session is not None: - try: - self._session.close() - finally: - self._session = None - - # -- requests -------------------------------------------------------------- - - def request( - self, - method: str, - path: str, - *, - json_body: Optional[dict] = None, - files: Optional[dict] = None, - data: Optional[dict] = None, - params: Optional[dict] = None, - expect_json: bool = True, - ) -> Any: - """ - Perform one API call, retrying retryable failures (R9.9). - - Args: - method: "GET" / "POST" / … - path: Path appended to `base_url`, or a full URL. - json_body: JSON payload. - files/data: multipart payload (`requests` semantics). - params: Query string. - expect_json: Parse the response as JSON; otherwise return `bytes`. - - Returns: - Parsed JSON (dict / list) or raw `bytes`. - - Raises: - CloudAPIError subclass — terminal errors immediately, retryable ones - after `max_retries` attempts. - """ - requests = _requests() - url = path if path.startswith("http") else f"{self.base_url}/{path.lstrip('/')}" - - last: Optional[CloudAPIError] = None - for attempt in range(self.max_retries + 1): - try: - resp = self.session.request( - method, url, json=json_body, files=files, data=data, - params=params, timeout=self.timeout, - ) - except (requests.ConnectionError, requests.Timeout) as e: - last = CloudAPIServerError(f"{method} {url} failed at transport level: {e}") - else: - if resp.ok: - if not expect_json: - return resp.content - try: - return resp.json() - except ValueError as e: - raise CloudAPIError( - f"{method} {url} returned {resp.status_code} with a " - f"non-JSON body: {_truncate(resp.text)}" - ) from e - try: - body: Any = resp.json() - except ValueError: - body = resp.text - err = classify_http_error(resp.status_code, body) - if not err.retryable: - raise err - last = err - retry_after = resp.headers.get("Retry-After") - if retry_after: - try: - time.sleep(min(float(retry_after), 60.0)) - except ValueError: - pass - - if attempt < self.max_retries: - delay = self.backoff * (2 ** attempt) - logger.warning("[cloud_api] %s %s attempt %d/%d failed (%s); retrying in %.1fs", - method, url, attempt + 1, self.max_retries + 1, last, delay) - time.sleep(delay) - - assert last is not None - raise last - - def download(self, url: str, *, max_bytes: Optional[int] = None) -> bytes: - """ - Fetch a generated artifact. Signed asset URLs are short-lived — call this - immediately after the task reports success. - - Args: - url: Absolute URL from the task output. - max_bytes: Reject anything larger, so a wrong URL cannot fill a disk. - - Returns: - The file content. - """ - content = self.request("GET", url, expect_json=False) - if max_bytes is not None and len(content) > max_bytes: - raise CloudAPIError( - f"downloaded artifact is {len(content)} bytes, over the " - f"{max_bytes} byte limit: {url}") - if not content: - raise CloudAPIError(f"downloaded artifact is empty: {url}") - return content - - -# ── Polling ─────────────────────────────────────────────────────────────────── - - -def poll_task( - fetch: Callable[[], dict], - *, - task_id: str, - timeout: float = 300.0, - poll_interval: float = 3.0, - done_states: Iterable[str], - failed_states: Iterable[str], - state_key: str = "status", - progress_key: str = "progress", - verbose: bool = False, -) -> dict: - """ - Block until a provider task reaches a terminal state (R9.6). - - Args: - fetch: Callable returning the decoded task object. - task_id: Only used for messages — every error carries it. - timeout: Wall-clock budget in seconds. - poll_interval: Seconds between polls. - done_states: States meaning success (compared case-insensitively). - failed_states: States meaning failure. - state_key: Field holding the state. - progress_key: Field holding 0-100 progress, when the provider sends one. - verbose: Print progress; otherwise only DEBUG logs (R3.7). - - Returns: - The task object in its successful terminal state. - - Raises: - CloudTaskFailed: provider reported failure. - CloudTaskTimeout: budget exhausted; the task may still finish server-side, - the error carries `task_id` so it can be fetched later. - """ - done = {s.lower() for s in done_states} - failed = {s.lower() for s in failed_states} - deadline = time.time() + timeout - last_progress = -1 - - while True: - task = fetch() - state = str(task.get(state_key, "")).lower() - progress = task.get(progress_key) - - if progress != last_progress: - last_progress = progress - logger.debug("[cloud_api] task %s: %s (%s%%)", task_id, state, progress) - if verbose: - print(f"[cloud_api] task {task_id}: {state} ({progress}%)") - - if state in done: - return task - if state in failed: - raise CloudTaskFailed( - f"task {task_id} ended as {state!r}: {_truncate(task)}", - task_id=task_id, payload=task) - - remaining = deadline - time.time() - if remaining <= 0: - raise CloudTaskTimeout( - f"task {task_id} still {state!r} after {timeout:.0f}s. It may still " - f"finish server-side — query it with the task id above, or raise " - f"`timeout=` on the model.", - task_id=task_id, payload=task) - time.sleep(min(poll_interval, remaining)) - - -# ── Response cache ──────────────────────────────────────────────────────────── - - -def request_hash(payload: dict) -> str: - """ - Stable sha256 over a request description (R9.8). - - The payload must contain everything that changes the output — model version, - prompt, image bytes hash, every generation parameter, the output format. - Never put the API key in it. - """ - canonical = json.dumps(payload, sort_keys=True, ensure_ascii=False, default=str) - return hashlib.sha256(canonical.encode("utf-8")).hexdigest() - - -def bytes_hash(data: bytes) -> str: - """sha256 of a binary input, e.g. the reference image.""" - return hashlib.sha256(data).hexdigest() - - -class ResponseCache: - """ - Content-addressed cache of generated artifacts. - - A cloud call costs credits, so an identical request must never be sent twice - (R9.8). Layout:: - - //. the artifact - //.meta.json request description + task id - - Args: - cache_dir: Root directory. `None` disables caching entirely. - provider: Sub-directory name, so two providers never collide. - """ - - def __init__(self, cache_dir: Optional[str | Path], provider: str): - self.root = Path(cache_dir).expanduser() / provider if cache_dir else None - self.provider = provider - - @property - def enabled(self) -> bool: - return self.root is not None - - def _paths(self, key: str, ext: str) -> tuple[Path, Path]: - assert self.root is not None - return self.root / f"{key}.{ext}", self.root / f"{key}.meta.json" - - def get(self, key: str, ext: str = "glb") -> Optional[bytes]: - """Cached artifact bytes, or None. Performs no network I/O, ever.""" - if not self.enabled: - return None - blob, _ = self._paths(key, ext) - if blob.is_file() and blob.stat().st_size > 0: - logger.info("[cloud_api] cache hit (%s): %s", self.provider, blob.name) - return blob.read_bytes() - return None - - def put(self, key: str, data: bytes, meta: dict, ext: str = "glb") -> Path: - """Store an artifact plus the request that produced it. Returns its path.""" - if not self.enabled: - return Path() - blob, meta_path = self._paths(key, ext) - blob.parent.mkdir(parents=True, exist_ok=True) - blob.write_bytes(data) - meta_path.write_text( - json.dumps({**meta, "cache_key": key, "bytes": len(data)}, - indent=2, ensure_ascii=False, default=str), - encoding="utf-8", - ) - return blob - - -# ── Input encoding ──────────────────────────────────────────────────────────── - - -def image_to_png_bytes(image: Any) -> bytes: - """ - Normalize an image input to PNG bytes. - - Accepts a `PIL.Image.Image`, raw `bytes` (returned unchanged), or a - `np.ndarray`. Paths are rejected on purpose — `model_require.md` R3.2 says a - model takes the object, not a path. - - Returns: - PNG-encoded bytes (RGBA preserved when present). - """ - if isinstance(image, (bytes, bytearray)): - return bytes(image) - if isinstance(image, (str, Path)): - raise TypeError( - "models take an image object, not a path (model_require.md R3.2). " - "Open it in the operator: Image.open(path).convert('RGBA')" - ) - - from io import BytesIO # noqa: PLC0415 - - from PIL import Image as PILImage # noqa: PLC0415 - - if not isinstance(image, PILImage.Image): - try: - import numpy as np # noqa: PLC0415 - except ImportError: - np = None # type: ignore[assignment] - if np is not None and isinstance(image, np.ndarray): - image = PILImage.fromarray(image) - else: - raise TypeError( - f"unsupported image type {type(image).__name__}; expected " - f"PIL.Image.Image, numpy.ndarray or bytes" - ) - - buf = BytesIO() - image.save(buf, format="PNG") - return buf.getvalue() - - -def image_to_data_uri(image: Any, mime: str = "image/png") -> str: - """PNG data URI (`data:image/png;base64,…`) for providers that take one inline.""" - import base64 # noqa: PLC0415 - - payload = base64.b64encode(image_to_png_bytes(image)).decode("ascii") - return f"data:{mime};base64,{payload}" diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/models/common/glb_utils.py b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/models/common/glb_utils.py deleted file mode 100644 index 61d86409097747264cabddb0301edc925f4f1ff7..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/models/common/glb_utils.py +++ /dev/null @@ -1,578 +0,0 @@ -""" -models/common/glb_utils.py - -Dependency-free inspection of binary glTF (`.glb`) buffers. - -Why this exists instead of `trimesh.load(...)`: the API wrappers must report the -triangle count of what they just paid for (`api_model_require.md` R9.8), and -that number has to be available on a CPU-only box with nothing but the stdlib -installed. Parsing the JSON chunk of a GLB is enough for counting. - -`glb_summary` and `glb_triangle_count` read the JSON chunk only. `read_glb_mesh` -decodes vertex data as well, because a generated part has to be *composed* with -primitives rather than merely counted, and that needs its triangles in the same -coordinate frame as everything else. - -Usage: - from models.common.glb_utils import glb_summary, read_glb_mesh - info = glb_summary(open("model.glb", "rb").read()) - print(info["triangles"], info["materials"]) - - mesh = read_glb_mesh(open("part.glb", "rb").read()) - print(len(mesh["positions"]), mesh["low"], mesh["high"]) -""" -from __future__ import annotations - -import json -import math -import struct -from typing import Any, Optional, Sequence - -GLB_MAGIC = b"glTF" - -#: glTF primitive mode 4 == TRIANGLES. Only triangle primitives are counted. -_MODE_TRIANGLES = 4 - -#: glTF componentType -> (struct format, byte size). Indices are allowed to be -#: any of the unsigned types; positions are float in every file worth reading. -_COMPONENT_TYPES: dict[int, tuple[str, int]] = { - 5120: ("b", 1), # BYTE - 5121: ("B", 1), # UNSIGNED_BYTE - 5122: ("h", 2), # SHORT - 5123: ("H", 2), # UNSIGNED_SHORT - 5125: ("I", 4), # UNSIGNED_INT - 5126: ("f", 4), # FLOAT -} - -#: glTF accessor type -> component count. -_TYPE_COUNTS: dict[str, int] = { - "SCALAR": 1, "VEC2": 2, "VEC3": 3, "VEC4": 4, - "MAT2": 4, "MAT3": 9, "MAT4": 16, -} - - -class GLBParseError(ValueError): - """The buffer is not a GLB we can read.""" - - -def is_glb(data: bytes) -> bool: - """True when `data` starts with the 12-byte GLB header.""" - return len(data) >= 12 and data[:4] == GLB_MAGIC - - -def glb_json_chunk(data: bytes) -> dict[str, Any]: - """ - Return the parsed JSON chunk of a GLB. - - Args: - data: Whole `.glb` file content. - - Returns: - The glTF document as a dict. - - Raises: - GLBParseError: bad magic, truncated file, or a missing JSON chunk. - """ - if not is_glb(data): - raise GLBParseError( - f"not a GLB: expected magic {GLB_MAGIC!r}, got {data[:4]!r}" - ) - if len(data) < 20: - raise GLBParseError(f"GLB truncated: {len(data)} bytes") - - _magic, version, total_len = struct.unpack_from("<4sII", data, 0) - if total_len > len(data): - raise GLBParseError( - f"GLB header claims {total_len} bytes, buffer holds {len(data)}" - ) - - offset = 12 - while offset + 8 <= len(data): - chunk_len, chunk_type = struct.unpack_from(" Optional[int]: - """ - Triangle count of a GLB, or None when it cannot be determined. - - Counts every triangle-mode primitive of every mesh once, i.e. the *asset's* - triangle budget, not the per-instance count after node duplication. - - Returns: - int triangles, or None if the JSON chunk is unreadable. - """ - try: - doc = glb_json_chunk(data) - except GLBParseError: - return None - - accessors = doc.get("accessors", []) - total = 0 - for mesh in doc.get("meshes", []): - for prim in mesh.get("primitives", []): - if prim.get("mode", _MODE_TRIANGLES) != _MODE_TRIANGLES: - continue - idx = prim.get("indices") - if idx is not None and idx < len(accessors): - count = accessors[idx].get("count", 0) - else: - pos = prim.get("attributes", {}).get("POSITION") - count = accessors[pos].get("count", 0) if pos is not None and pos < len(accessors) else 0 - total += count // 3 - return total - - -def glb_summary(data: bytes) -> dict[str, Any]: - """ - Cheap description of a GLB, for logs and `meta.json`. - - Returns: - dict with keys: - bytes (int) — buffer size - triangles (int | None) — see `glb_triangle_count` - meshes, materials, textures, images, nodes (int) - generator (str | None) — glTF `asset.generator` - error (str) — present only when the JSON chunk is unreadable - """ - out: dict[str, Any] = {"bytes": len(data)} - try: - doc = glb_json_chunk(data) - except GLBParseError as e: - out.update({"triangles": None, "error": str(e)}) - return out - - out.update({ - "triangles": glb_triangle_count(data), - "meshes": len(doc.get("meshes", [])), - "materials": len(doc.get("materials", [])), - "textures": len(doc.get("textures", [])), - "images": len(doc.get("images", [])), - "nodes": len(doc.get("nodes", [])), - "generator": (doc.get("asset") or {}).get("generator"), - }) - return out - - -# -------------------------------------------------------------------------- -# Vertex decoding -# -# Needed to *compose* a generated part with primitives, as opposed to merely -# reporting on it: composition means putting its triangles into the same -# coordinate frame as the rest, and that requires reading them. -# -------------------------------------------------------------------------- - - -def glb_binary_chunk(data: bytes) -> bytes: - """Return the BIN chunk of a GLB, or b"" when there is none.""" - if not is_glb(data): - raise GLBParseError(f"not a GLB: got magic {data[:4]!r}") - offset = 12 - while offset + 8 <= len(data): - chunk_len, chunk_type = struct.unpack_from(" list[tuple]: - """Decode one accessor into a list of component tuples. - - Honours ``byteStride``. Interleaved buffers are normal out of an - exporter, and reading one as tightly packed yields positions that are a - silent mixture of coordinates and normals — it parses, it renders, it is - garbage. - """ - - accessor = doc["accessors"][index] - component_type = accessor["componentType"] - if component_type not in _COMPONENT_TYPES: - raise GLBParseError(f"unsupported componentType {component_type}") - fmt, component_size = _COMPONENT_TYPES[component_type] - per_element = _TYPE_COUNTS[accessor["type"]] - count = accessor["count"] - - view_index = accessor.get("bufferView") - if view_index is None: - # A sparse or zero-filled accessor. Legal, and not something a mesh - # we are about to weld into another asset should be relying on. - return [tuple([0] * per_element)] * count - - view = doc["bufferViews"][view_index] - if view.get("buffer", 0) != 0: - raise GLBParseError("only single-buffer GLBs are supported") - base = view.get("byteOffset", 0) + accessor.get("byteOffset", 0) - packed = component_size * per_element - stride = view.get("byteStride") or packed - - out: list[tuple] = [] - element_format = "<" + fmt * per_element - for element in range(count): - start = base + element * stride - if start + packed > len(binary): - raise GLBParseError( - f"accessor {index} reads past the {len(binary)}-byte buffer" - ) - out.append(struct.unpack_from(element_format, binary, start)) - return out - - -def _node_matrix(node: dict[str, Any]) -> list[float]: - """A node's local transform as a 16-float column-major matrix. - - Handles both an explicit ``matrix`` and a TRS triple, since a file may use - either. Ignoring the transform looks like a modelling error: a mesh - authored Z-up whose node carries the -90 that stands it upright arrives on - its side, and the natural reaction is to rotate it back in the spec — - hard-coding a correction for something the file already stated. - """ - - if "matrix" in node: - return [float(value) for value in node["matrix"]] - - tx, ty, tz = [float(value) for value in node.get("translation", (0, 0, 0))] - qx, qy, qz, qw = [float(value) for value in node.get("rotation", (0, 0, 0, 1))] - sx, sy, sz = [float(value) for value in node.get("scale", (1, 1, 1))] - - # Quaternion to rotation matrix. - xx, yy, zz = qx * qx, qy * qy, qz * qz - xy, xz, yz = qx * qy, qx * qz, qy * qz - wx, wy, wz = qw * qx, qw * qy, qw * qz - rotation = ( - (1 - 2 * (yy + zz), 2 * (xy + wz), 2 * (xz - wy)), - (2 * (xy - wz), 1 - 2 * (xx + zz), 2 * (yz + wx)), - (2 * (xz + wy), 2 * (yz - wx), 1 - 2 * (xx + yy)), - ) - scale = (sx, sy, sz) - return [ - rotation[0][0] * scale[0], rotation[0][1] * scale[0], rotation[0][2] * scale[0], 0.0, - rotation[1][0] * scale[1], rotation[1][1] * scale[1], rotation[1][2] * scale[1], 0.0, - rotation[2][0] * scale[2], rotation[2][1] * scale[2], rotation[2][2] * scale[2], 0.0, - tx, ty, tz, 1.0, - ] - - -def _multiply(a: Sequence[float], b: Sequence[float]) -> list[float]: - """Column-major 4x4 product, applying `b` then `a`.""" - out = [0.0] * 16 - for column in range(4): - for row in range(4): - out[column * 4 + row] = sum( - a[k * 4 + row] * b[column * 4 + k] for k in range(4) - ) - return out - - -_IDENTITY = [1.0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 1.0, 0, 0, 0, 0, 1.0] - - -def read_glb_mesh(data: bytes) -> dict[str, Any]: - """Decode every triangle of a GLB into one flat, world-space mesh. - - Walks the scene graph and applies each node's accumulated transform, so - the result is in the file's own world coordinates rather than in the - local frame of whichever mesh happened to be first. - - The node hierarchy is deliberately *not* preserved. A part fetched from - a generator is one object as far as the composition is concerned — the - thing worth keeping addressable is the spec's part id, which the writer - attaches, and a generator's internal node names ("mesh_0", "Object_2") - are not names anything downstream can use. - - Returns: - dict with ``positions`` and ``normals`` as lists of 3-tuples, - ``uvs`` as 2-tuples, ``indices`` as a flat list, ``low``/``high`` as - the axis-aligned bounds, and ``images`` / ``material_runs`` carrying - whatever textures the file brought with it. Normals are generated - per-face when the file omits them. - - Textures come across because a generated part's whole contribution is - surface. Dropping them and letting the part inherit the spec's flat PBR - factors is consistent but throws away the thing that was paid for: the - stippling on a grip, the panel creases and decals on a car shell. That - needs three things travelling together — UVs per vertex, the image - bytes, and which triangles use which image — so ``material_runs`` - records index ranges rather than a single material for the part. - """ - - doc = glb_json_chunk(data) - binary = glb_binary_chunk(data) - if not binary: - raise GLBParseError( - "the GLB has no BIN chunk, so its vertex data is external; " - "only self-contained GLBs can be composed" - ) - - positions: list[tuple[float, float, float]] = [] - normals: list[tuple[float, float, float]] = [] - uvs: list[tuple[float, float]] = [] - indices: list[int] = [] - material_runs: list[dict[str, Any]] = [] - - def add_mesh(mesh_index: int, matrix: Sequence[float]) -> None: - # The inverse transpose of the upper 3x3, for the normals. A non-uniform - # node scale makes the forward matrix wrong for them, and the symptom is - # lighting that reads as a modelling error rather than as a bad import. - normal_matrix = _inverse_transpose_3x3(matrix) - - for primitive in doc["meshes"][mesh_index].get("primitives", []): - if primitive.get("mode", _MODE_TRIANGLES) != _MODE_TRIANGLES: - continue - attributes = primitive.get("attributes", {}) - if "POSITION" not in attributes: - continue - - local = _read_accessor(doc, binary, attributes["POSITION"]) - base = len(positions) - for x, y, z in local: - positions.append(( - matrix[0] * x + matrix[4] * y + matrix[8] * z + matrix[12], - matrix[1] * x + matrix[5] * y + matrix[9] * z + matrix[13], - matrix[2] * x + matrix[6] * y + matrix[10] * z + matrix[14], - )) - - if "NORMAL" in attributes: - for nx, ny, nz in _read_accessor(doc, binary, attributes["NORMAL"]): - tx = normal_matrix[0] * nx + normal_matrix[3] * ny + normal_matrix[6] * nz - ty = normal_matrix[1] * nx + normal_matrix[4] * ny + normal_matrix[7] * nz - tz = normal_matrix[2] * nx + normal_matrix[5] * ny + normal_matrix[8] * nz - length = math.sqrt(tx * tx + ty * ty + tz * tz) or 1.0 - normals.append((tx / length, ty / length, tz / length)) - else: - normals.extend([(0.0, 0.0, 0.0)] * len(local)) - - # UVs are per-vertex and must stay aligned with positions, so a - # primitive without them still contributes placeholders — a short - # UV list would silently shift every following part's texturing. - if "TEXCOORD_0" in attributes: - uvs.extend( - (float(u), float(v)) - for u, v in _read_accessor(doc, binary, attributes["TEXCOORD_0"]) - ) - else: - uvs.extend([(0.0, 0.0)] * len(local)) - - if "indices" in primitive and primitive["indices"] is not None: - local_indices = [ - value[0] for value in - _read_accessor(doc, binary, primitive["indices"]) - ] - else: - local_indices = list(range(len(local))) - - run_start = len(indices) - indices.extend(base + value for value in local_indices) - material_runs.append({ - "start": run_start, - "count": len(local_indices), - "material": primitive.get("material"), - }) - - def walk(node_index: int, parent: Sequence[float]) -> None: - node = doc["nodes"][node_index] - matrix = _multiply(parent, _node_matrix(node)) - if node.get("mesh") is not None: - add_mesh(node["mesh"], matrix) - for child in node.get("children", ()): - walk(child, matrix) - - scenes = doc.get("scenes") or [] - scene = scenes[doc.get("scene", 0)] if scenes else None - roots = scene.get("nodes", ()) if scene else range(len(doc.get("nodes", []))) - for root in roots: - walk(root, _IDENTITY) - - if not positions: - raise GLBParseError("the GLB contains no triangle geometry") - - # Fill in any face normals the file left out, so a consumer never has to - # ask whether normals are present. - _fill_missing_normals(positions, normals, indices) - - low = tuple(min(point[axis] for point in positions) for axis in range(3)) - high = tuple(max(point[axis] for point in positions) for axis in range(3)) - return { - "positions": positions, - "normals": normals, - "uvs": uvs, - "indices": indices, - "triangles": len(indices) // 3, - "low": low, - "high": high, - "material_runs": material_runs, - "materials": _read_materials(doc, binary), - "has_uvs": any(u != 0.0 or v != 0.0 for u, v in uvs), - } - - -def _read_materials(doc: dict[str, Any], binary: bytes) -> list[dict[str, Any]]: - """Each material's PBR factors, its base-colour image and its MR image. - - Base colour and metallic-roughness. Not the normal or occlusion maps: - those would give the composed asset a texture set the primitives beside it - lack, and a car body with a normal map next to a flat-shaded spoiler reads - as two assets. Metallic-roughness is different in kind — it is not detail - on top of a surface, it is *which surface it is*. - - Taking the map is what makes the factors trustworthy. An exporter that puts - those channels in a texture leaves the factors at glTF's default ``1.0`` to - multiply it, so the two only mean anything together. This function used to - take the colour alone and substitute dielectric defaults (``0.0``/``0.55``) - on the grounds that inherited factors would render a polymer grip as - sandblasted steel — true, but it threw away the answer to keep from - guessing wrong. Plate armour came out as grey plastic: every generated - piece of the knight had ``metallicFactor 1.0`` and an MR map in the file, - and both were discarded. - - ``factors_from`` is still recorded, because a material with no map at all - still has to fall back and a caller needs to know which happened. - """ - - out: list[dict[str, Any]] = [] - images = doc.get("images", []) - textures = doc.get("textures", []) - views = doc.get("bufferViews", []) - - def image_bytes(reference: dict[str, Any]) -> tuple[bytes | None, str | None]: - index = reference.get("index") - if index is None or index >= len(textures): - return None, None - image_index = textures[index].get("source") - if image_index is None or image_index >= len(images): - return None, None - image = images[image_index] - view_index = image.get("bufferView") - if view_index is not None and view_index < len(views): - view = views[view_index] - start = view.get("byteOffset", 0) - return ( - bytes(binary[start:start + view["byteLength"]]), - image.get("mimeType") or "image/png", - ) - if str(image.get("uri", "")).startswith("data:"): - # A data URI is legal and some exporters emit one even in a GLB. - # Decoded here so the caller never has to care which form was used. - import base64 - - header, _, payload = image["uri"].partition(",") - return ( - base64.b64decode(payload), - header.split(":")[1].split(";")[0] if ":" in header - else "image/png", - ) - return None, None - - for material in doc.get("materials", []): - pbr = material.get("pbrMetallicRoughness") or {} - colour_image, colour_mime = image_bytes(pbr.get("baseColorTexture") or {}) - mr_image, mr_mime = image_bytes( - pbr.get("metallicRoughnessTexture") or {}) - - if mr_image is not None: - # The map is coming with us, so the factors mean what they say: - # they scale it. glTF's default is 1.0 for exactly this case. - metallic = float(pbr.get("metallicFactor", 1.0)) - roughness = float(pbr.get("roughnessFactor", 1.0)) - provenance = "file" - elif (pbr.get("metallicRoughnessTexture") or {}).get("index") is not None: - # A map is declared but its bytes could not be read. Falling back - # to dielectric defaults, because inheriting factors written to - # scale a map we do not have renders a polymer grip as steel. - metallic, roughness, provenance = 0.0, 0.55, "assumed" - else: - metallic = float(pbr.get("metallicFactor", 1.0)) - roughness = float(pbr.get("roughnessFactor", 1.0)) - provenance = "file" - - out.append({ - "name": material.get("name") or "", - "baseColor": [ - float(value) - for value in pbr.get("baseColorFactor", [1.0, 1.0, 1.0, 1.0]) - ], - "metallic": metallic, - "roughness": roughness, - "factors_from": provenance, - "image": colour_image, - "mimeType": colour_mime, - "mrImage": mr_image, - "mrMimeType": mr_mime, - }) - return out - - -def _inverse_transpose_3x3(matrix: Sequence[float]) -> list[float]: - """Inverse transpose of a column-major 4x4's rotation/scale block.""" - a = (matrix[0], matrix[1], matrix[2]) - b = (matrix[4], matrix[5], matrix[6]) - c = (matrix[8], matrix[9], matrix[10]) - determinant = ( - a[0] * (b[1] * c[2] - b[2] * c[1]) - - a[1] * (b[0] * c[2] - b[2] * c[0]) - + a[2] * (b[0] * c[1] - b[1] * c[0]) - ) - if abs(determinant) < 1e-20: - return [1.0, 0, 0, 0, 1.0, 0, 0, 0, 1.0] - # cofactor / determinant, already the inverse transpose. - return [ - (b[1] * c[2] - b[2] * c[1]) / determinant, - (b[2] * c[0] - b[0] * c[2]) / determinant, - (b[0] * c[1] - b[1] * c[0]) / determinant, - (a[2] * c[1] - a[1] * c[2]) / determinant, - (a[0] * c[2] - a[2] * c[0]) / determinant, - (a[1] * c[0] - a[0] * c[1]) / determinant, - (a[1] * b[2] - a[2] * b[1]) / determinant, - (a[2] * b[0] - a[0] * b[2]) / determinant, - (a[0] * b[1] - a[1] * b[0]) / determinant, - ] - - -def _fill_missing_normals( - positions: list[tuple[float, float, float]], - normals: list[tuple[float, float, float]], - indices: list[int], -) -> None: - """Replace zero-length normals with the area-weighted face average.""" - - missing = [ - index for index, normal in enumerate(normals) - if normal[0] == 0.0 and normal[1] == 0.0 and normal[2] == 0.0 - ] - if not missing: - return - - accumulated = {index: [0.0, 0.0, 0.0] for index in missing} - needed = set(missing) - for triangle in range(len(indices) // 3): - ia, ib, ic = indices[triangle * 3:triangle * 3 + 3] - if not (ia in needed or ib in needed or ic in needed): - continue - pa, pb, pc = positions[ia], positions[ib], positions[ic] - e1 = (pb[0] - pa[0], pb[1] - pa[1], pb[2] - pa[2]) - e2 = (pc[0] - pa[0], pc[1] - pa[1], pc[2] - pa[2]) - cross = ( - e1[1] * e2[2] - e1[2] * e2[1], - e1[2] * e2[0] - e1[0] * e2[2], - e1[0] * e2[1] - e1[1] * e2[0], - ) - for index in (ia, ib, ic): - if index in accumulated: - for axis in range(3): - accumulated[index][axis] += cross[axis] - - for index, vector in accumulated.items(): - length = math.sqrt(sum(value * value for value in vector)) - normals[index] = ( - (vector[0] / length, vector[1] / length, vector[2] / length) - if length > 1e-20 else (0.0, 1.0, 0.0) - ) diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/models/gen_3d_object/meshy_model.py b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/models/gen_3d_object/meshy_model.py deleted file mode 100644 index 5363310e6271f7c9f8dadc1c0d2a4b595a43517c..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/models/gen_3d_object/meshy_model.py +++ /dev/null @@ -1,463 +0,0 @@ -""" -models/gen_3d_object/meshy_model.py - -MeshyModel — wrapper around Meshy's cloud 3D-generation API (image-to-3D and -text-to-3D), producing GLB / FBX / OBJ / USDZ / STL. - -Reference: https://docs.meshy.ai/ (base https://api.meshy.ai) - -Second backend for the `gen_3d_object` slot. Its `infer` / `infer_and_save` -signatures are identical to `TripoModel`'s and positionally identical to -`Trellis2Model`'s, so `Gen3DObjectOperator` dispatches on class name alone -(model_require.md R6). - -CONTRACT DEVIATIONS (model_require.md targets local-weight models; the rules that -replace it live in agent_skills/develop_harness/api_model_require.md): - C1 R2.1/R2.2 → R9.1 `model_path` carries a *model version id* ("meshy-6"). - C2 R2.3 → R9.2 `device` accepted for interface parity and ignored. - C3 R3.6/R5.5 → R9.3 no @torch.no_grad(); torch is not involved. - C4 R4.1-R4.3 → R9.4 `unload()` is a no-op that closes the HTTP session. - C5 R3.3/R3.4 → R9.5 `seed` is forwarded for text-to-3D only, where the API - accepts it; image-to-3D has no seed. Reproducibility is - NOT guaranteed server-side and is never faked locally. - C6 R3.1 → R9.6 task-based API (submit → poll → download); `infer()` - blocks until completion or `timeout` (default 300 s). - Text-to-3D runs two tasks (preview → refine) when a - texture is requested; both ids are logged. - C7 R1.2 uses the documented `infer_and_save(..., output_path)` - exception; the bytes-returning `infer()` exists alongside. - C8 (new) → R9.8 `cache_dir` prevents re-billing an identical request. - C9 (new) → R9.9 `max_retries` + exponential backoff; retryable and - terminal failures are split. - -Environment: - MESHY_API_KEY required at the first infer() call, not at construction. - Get one at https://www.meshy.ai/api (a `msy_dummy_...` - test-mode key returns canned assets without spending credits). - MESHY_API_BASE optional override of the API root. - `pip install requests` is needed for the API backends only. - -Usage: - from models.gen_3d_object.meshy_model import MeshyModel - model = MeshyModel(model_path="meshy-6", output_format="fbx") - path = model.infer_and_save(image, output_path="out/model.fbx", seed=42) -""" -from __future__ import annotations - -import logging -import os -import time -from pathlib import Path -from typing import Any, Optional - -from models.common import cloud_api -from models.common.glb_utils import glb_summary - -logger = logging.getLogger(__name__) - -SIGNUP_URL = "https://www.meshy.ai/api" - -DEFAULT_API_BASE = "https://api.meshy.ai" - -#: Short names accepted for `model_path`. Unknown values pass through untouched. -MODEL_ALIASES: dict[str, str] = { - "meshy": "meshy-6", - "meshy-6-text-to-3d": "meshy-6", - "meshy-6-image-to-3d": "meshy-6", - "meshy-5-text-to-3d": "meshy-5", - "meshy-5-image-to-3d": "meshy-5", -} - -DEFAULT_MODEL = "meshy-6" - -DONE_STATES = ("succeeded", "success", "completed") -FAILED_STATES = ("failed", "canceled", "cancelled", "expired") - -#: Meshy rejects a target_polycount outside this range with a 400 (terminal). -POLYCOUNT_RANGE = (100, 300_000) - -#: Formats the API can return directly, i.e. keys of `model_urls`. -SUPPORTED_FORMATS = ("glb", "fbx", "obj", "usdz", "stl", "mtl", "3mf") - - -class MeshyModel: - """ - Cloud image-to-3D / text-to-3D through Meshy. - - Args: - model_path: [C1] Meshy `ai_model` id ("meshy-6", "meshy-5", "latest"), - or an alias from `MODEL_ALIASES`. - device: [C2] Accepted for interface parity, ignored. "cpu" is fine. - api_key: Explicit key; defaults to `$MESHY_API_KEY`, read at first call. - timeout: [C6] Seconds to wait for one generation task (each stage of - the text-to-3D preview → refine chain gets the full budget). - poll_interval: Seconds between status polls. - max_retries: [C9] Extra attempts for retryable HTTP failures. - cache_dir: [C8] Directory for the response cache. None disables it. - output_format: Any of `SUPPORTED_FORMATS`; picked out of `model_urls`. - low_poly: [B4.3] Sets `model_type="lowpoly"`, i.e. the service produces - a low-poly mesh instead of us decimating one locally. - texture / enable_pbr / topology / should_remesh: - Forwarded to the generation endpoints. - refine: Text-to-3D only. Meshy's preview stage returns an untextured - mesh; the refine stage textures it and costs extra credits. - Ignored when `texture=False`. - api_base: Override the API root (defaults to `$MESHY_API_BASE`). - verbose: Print task progress; off by default (R3.7). - """ - - PROVIDER = "meshy" - - def __init__( - self, - model_path: str = DEFAULT_MODEL, - device: str = "cuda", - *, - api_key: Optional[str] = None, - # Measured: one image-to-3D with PBR textures took 283 s here, and the - # Tripo backend took 601 s for the same job. Timing out does not refund - # the credits, so the default errs long; the error carries the task_id. - timeout: int = 1800, - poll_interval: float = 3.0, - max_retries: int = 3, - cache_dir: Optional[str] = None, - output_format: str = "glb", - low_poly: bool = False, - texture: bool = True, - enable_pbr: bool = True, - topology: str = "triangle", - should_remesh: Optional[bool] = None, - refine: bool = True, - api_base: Optional[str] = None, - http_timeout: int = 60, - verbose: bool = False, - **model_specific: Any, - ): - # [CONTRACT-DEVIATION C1] model_path is a version id, not a weight location. - # [CONTRACT-DEVIATION C2] device accepted for interface parity, ignored. - self.model_path = MODEL_ALIASES.get(str(model_path).lower(), model_path) - self.device = device - - # R2.4 — store everything before anything loads. - self.api_key = api_key - self.timeout = timeout - self.poll_interval = poll_interval - self.max_retries = max_retries - self.cache_dir = cache_dir - self.output_format = output_format.lower().lstrip(".") - self.low_poly = low_poly - self.texture = texture - self.enable_pbr = enable_pbr - self.topology = topology - self.should_remesh = should_remesh - self.refine = refine - self.api_base = (api_base or os.environ.get("MESHY_API_BASE") - or DEFAULT_API_BASE) - self.http_timeout = http_timeout - self.verbose = verbose - self.model_specific = model_specific - - if self.output_format not in SUPPORTED_FORMATS: - raise ValueError( - f"output_format={self.output_format!r} is not one of " - f"{SUPPORTED_FORMATS}. Meshy returns these directly in model_urls." - ) - - self._client: Optional[cloud_api.CloudAPIClient] = None - self._cache = cloud_api.ResponseCache(cache_dir, self.PROVIDER) - - #: Record of the most recent **real** call — see `TripoModel.last_call_info`. - self.last_call_info: dict[str, Any] = {} - - # ── plumbing ────────────────────────────────────────────────────────────── - - @property - def client(self) -> cloud_api.CloudAPIClient: - """HTTP client, created on first use. [R9.7] The key is resolved here.""" - if self._client is None: - key = cloud_api.require_api_key( - self.api_key, "MESHY_API_KEY", SIGNUP_URL, who="MeshyModel") - self._client = cloud_api.CloudAPIClient( - self.api_base, key, - timeout=self.http_timeout, - max_retries=self.max_retries, - ) - return self._client - - def unload(self) -> None: - """[C4] Close the HTTP session. Idempotent, and safe before any call.""" - if self._client is not None: - self._client.close() - self._client = None - - close = unload - - @staticmethod - def _task_id_of(resp: Any) -> str: - """Meshy answers a creation call with `{"result": ""}`.""" - if isinstance(resp, dict): - for key in ("result", "id", "task_id"): - value = resp.get(key) - if isinstance(value, str) and value: - return value - raise cloud_api.CloudAPIError( - f"Meshy accepted the request but returned no task id: {resp!r}") - - def _fetch_task(self, endpoint: str, task_id: str) -> dict: - task = self.client.request("GET", f"{endpoint}/{task_id}") - if not isinstance(task, dict): - raise cloud_api.CloudAPIError( - f"unexpected task payload for {task_id}: {task!r}", task_id=task_id) - return task - - def _model_url(self, task: dict) -> str: - """URL of the requested format, with an actionable message when absent.""" - urls = task.get("model_urls") or {} - url = urls.get(self.output_format) - if isinstance(url, str) and url.startswith("http"): - return url - raise cloud_api.CloudAPIError( - f"task {task.get('id')} finished but has no {self.output_format!r} " - f"URL. Available: {sorted(urls)}. Set output_format to one of those.", - task_id=task.get("id"), payload=task) - - def _clamp_polycount(self, value: Optional[int]) -> Optional[int]: - """ - Keep `target_polycount` inside the documented range. - - `Gen3DObjectOperator` forwards TRELLIS.2's default of 1_000_000, which - Meshy rejects with a terminal 400. Clamping (loudly) keeps the operator - interchangeable (R6) instead of making the caller special-case backends. - """ - if value is None: - return None - low, high = POLYCOUNT_RANGE - clamped = max(low, min(int(value), high)) - if clamped != int(value): - logger.warning("[meshy] target_polycount %s clamped to %s (API range %s-%s)", - value, clamped, low, high) - return clamped - - # ── inference ───────────────────────────────────────────────────────────── - - def infer( - self, - image: Any = None, - seed: int = 42, - decimation_target: Optional[int] = None, - texture_size: Optional[int] = None, - *, - prompt: Optional[str] = None, - negative_prompt: Optional[str] = None, - image_url: Optional[str] = None, - verbose: Optional[bool] = None, - **provider_kwargs: Any, - ) -> bytes: - """ - Generate one 3D asset and return the model file bytes. - - Args: - image: Reference image as `PIL.Image.Image`, `np.ndarray` or PNG - `bytes` — sent inline as a base64 data URI. Not a path (R3.2). - seed: [C5] Forwarded for text-to-3D only; image-to-3D has no seed - parameter. Reproducibility is not guaranteed. - decimation_target: Target face count → `target_polycount`, clamped to - the API's 100-300000 range. - texture_size: Accepted for signature parity with `Trellis2Model` and - **ignored** — Meshy exposes no texture resolution parameter. - prompt: Text prompt for text-to-3D. [A4 decision] Same rationale as - `TripoModel`: keeps text-to-3D reachable without a second slot. - negative_prompt: Sent as `texture_prompt`'s counterpart is absent in - the API — rejected explicitly rather than silently dropped. - image_url: Publicly reachable image URL, used instead of the data URI. - verbose: Override the constructor's verbosity for this call. - **provider_kwargs: Merged into the request body verbatim. - - Returns: - The model file as `bytes`, in `output_format`. - - Raises: - CloudAPIAuthError / CloudAPIQuotaError / CloudTaskFailed / - CloudTaskTimeout — see `models/common/cloud_api.py`. - """ - verbose = self.verbose if verbose is None else verbose - if image is None and image_url is None and not prompt: - raise ValueError( - "MeshyModel.infer needs an image (`image=` / `image_url=`) or a " - "text `prompt=`; got neither.") - if negative_prompt: - raise ValueError( - "Meshy has no negative_prompt parameter. Fold the constraint into " - "`prompt`, or use TripoModel which supports it.") - if texture_size is not None: - logger.debug("[meshy] texture_size=%s ignored; the API has no equivalent", - texture_size) - - polycount = self._clamp_polycount(decimation_target) - use_image = image is not None or image_url is not None - - payload: dict[str, Any] = { - "ai_model": self.model_path, - "model_type": "lowpoly" if self.low_poly else "standard", - "topology": self.topology, - } - if polycount is not None: - payload["target_polycount"] = polycount - if self.should_remesh is not None: - payload["should_remesh"] = self.should_remesh - - if use_image: - payload["should_texture"] = self.texture - payload["enable_pbr"] = self.enable_pbr - else: - payload["mode"] = "preview" - payload["prompt"] = prompt - # [CONTRACT-DEVIATION C5] accepted by the text endpoint only. - payload["seed"] = int(seed) - payload.update(provider_kwargs) - - # [C8] Everything that changes the output goes into the key; the image is - # represented by its hash, and the API key never appears. - png = cloud_api.image_to_png_bytes(image) if image is not None else None - cache_key = cloud_api.request_hash({ - "provider": self.PROVIDER, - "payload": payload, - "image_sha256": cloud_api.bytes_hash(png) if png else None, - "image_url": image_url, - "refine": self.refine and self.texture and not use_image, - "output_format": self.output_format, - }) - cached = self._cache.get(cache_key, ext=self.output_format) - if cached is not None: - self.last_call_info = { - "provider": self.PROVIDER, "cached": True, "cache_key": cache_key, - "bytes": len(cached), - **(glb_summary(cached) if self.output_format == "glb" else {}), - } - return cached - - t0 = time.time() - task_ids: list[str] = [] - - if use_image: - endpoint = "/openapi/v1/image-to-3d" - payload["image_url"] = ( - image_url if png is None else cloud_api.image_to_data_uri(image)) - task = self._submit_and_wait(endpoint, payload, verbose=verbose, - task_ids=task_ids) - else: - endpoint = "/openapi/v2/text-to-3d" - task = self._submit_and_wait(endpoint, payload, verbose=verbose, - task_ids=task_ids) - if self.texture and self.refine: - # [C6] Preview geometry is untextured; refine is a second billed - # task that paints it. Skip with texture=False or refine=False. - refine_payload = { - "mode": "refine", - "preview_task_id": task_ids[-1], - "ai_model": self.model_path, - "enable_pbr": self.enable_pbr, - } - task = self._submit_and_wait(endpoint, refine_payload, - verbose=verbose, task_ids=task_ids) - - data = self.client.download(self._model_url(task)) - elapsed = time.time() - t0 - - info = glb_summary(data) if self.output_format == "glb" else {"bytes": len(data)} - self.last_call_info = { - "provider": self.PROVIDER, - "model": self.model_path, - "task_id": task_ids[-1], - "task_ids": task_ids, - "elapsed_sec": round(elapsed, 2), - "credits": task.get("credits_consumed", task.get("credits")), - "cached": False, - "cache_key": cache_key, - "format": self.output_format, - # The provider's own render of what it produced. Recording the URL - # (rather than downloading it here) keeps the model out of artifact - # placement (R1.2) while giving the caller a free visual check — - # "the asset exists" and "the asset is what was asked for" are - # different claims, and only a picture settles the second one. - "preview_url": task.get("thumbnail_url"), - **info, - } - # R9.8 — one line per billed call. - logger.info( - "[meshy] task=%s model=%s %.1fs credits=%s triangles=%s bytes=%s", - task_ids[-1], self.model_path, elapsed, self.last_call_info.get("credits"), - info.get("triangles"), len(data), - ) - if verbose: - print(f"[meshy] {self.last_call_info}") - - self._cache.put(cache_key, data, { - "provider": self.PROVIDER, "payload": payload, - **{k: v for k, v in self.last_call_info.items() if k != "cache_key"}, - }, ext=self.output_format) - return data - - def _submit_and_wait(self, endpoint: str, payload: dict, *, - verbose: bool, task_ids: list[str]) -> dict: - """Create one task on `endpoint`, poll it to a terminal state, return it.""" - created = self.client.request("POST", endpoint, json_body=payload) - task_id = self._task_id_of(created) - task_ids.append(task_id) - if verbose: - print(f"[meshy] task {task_id} submitted ({endpoint}, " - f"mode={payload.get('mode', 'image')})") - return cloud_api.poll_task( - lambda: self._fetch_task(endpoint, task_id), - task_id=task_id, - timeout=self.timeout, - poll_interval=self.poll_interval, - done_states=DONE_STATES, - failed_states=FAILED_STATES, - verbose=verbose, - ) - - def infer_and_save( - self, - image: Any = None, - output_path: Optional[str] = None, - seed: int = 42, - decimation_target: Optional[int] = None, - texture_size: Optional[int] = None, - *, - prompt: Optional[str] = None, - negative_prompt: Optional[str] = None, - image_url: Optional[str] = None, - verbose: Optional[bool] = None, - **provider_kwargs: Any, - ) -> str: - """ - [C7] The documented R1.2 exception: run `infer()` and write the result. - - The path comes **in** from the caller and is never derived here. - - Args: - output_path: Destination file. Parent directories are created. - (everything else: see `infer`) - - Returns: - `str(output_path)`. - """ - if not output_path: - raise ValueError("output_path is required (model_require.md R1.2)") - data = self.infer( - image, seed, decimation_target, texture_size, - prompt=prompt, negative_prompt=negative_prompt, image_url=image_url, - verbose=verbose, **provider_kwargs, - ) - out = Path(output_path) - out.parent.mkdir(parents=True, exist_ok=True) - out.write_bytes(data) - return str(out) - - # ── account ─────────────────────────────────────────────────────────────── - - def balance(self) -> dict: - """Remaining credits: ``{"balance": int}``. Cheap and unbilled.""" - resp = self.client.request("GET", "/openapi/v1/balance") - return resp if isinstance(resp, dict) else {"balance": resp} diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/models/gen_3d_object/tripo_model.py b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/models/gen_3d_object/tripo_model.py deleted file mode 100644 index 483e185ff7ca75d4c4a592fec4e2acd3bcd251aa..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/models/gen_3d_object/tripo_model.py +++ /dev/null @@ -1,532 +0,0 @@ -""" -models/gen_3d_object/tripo_model.py - -TripoModel — wrapper around Tripo3D's cloud 3D-generation API (image-to-3D and -text-to-3D), producing a GLB. - -Reference: https://developers.tripo3d.ai/ (v3 API, base https://openapi.tripo3d.ai/v3) - -CONTRACT DEVIATIONS (model_require.md targets local-weight models; the rules that -replace it live in agent_skills/develop_harness/api_model_require.md): - C1 R2.1/R2.2 → R9.1 `model_path` carries a *model version id* - ("v3.1-20260211"), not a weight location. - C2 R2.3 → R9.2 `device` accepted for interface parity and ignored. - C3 R3.6/R5.5 → R9.3 no @torch.no_grad(); torch is not involved. - C4 R4.1-R4.3 → R9.4 `unload()` is a no-op that closes the HTTP session. - C5 R3.3/R3.4 → R9.5 `seed` is forwarded as model_seed/texture_seed when the - provider accepts it; server-side reproducibility is NOT - guaranteed and is never faked locally. - C6 R3.1 → R9.6 task-based API (submit → poll → download); `infer()` - blocks until completion or `timeout` (default 300 s). - A timeout error carries the `task_id`. - C7 R1.2 uses the documented `infer_and_save(..., output_path)` - exception; the bytes-returning `infer()` exists alongside. - C8 (new) → R9.8 `cache_dir` prevents re-billing an identical request. - C9 (new) → R9.9 `max_retries` + exponential backoff; retryable (5xx/429/ - transport) and terminal (400/401/402) failures are split. - -Environment: - TRIPO_API_KEY required at the first infer() call, not at construction. - Get one at https://platform.tripo3d.ai/api-keys - TRIPO_API_BASE optional override of the API root. - `pip install requests` is needed for the API backends only. - -Usage: - from models.gen_3d_object.tripo_model import TripoModel - model = TripoModel(model_path="v3.1-20260211") - path = model.infer_and_save(image, output_path="out/model.glb", seed=42) - print(model.last_call_info) # task_id, elapsed, credits, triangles -""" -from __future__ import annotations - -import logging -import os -import time -from pathlib import Path -from typing import Any, Optional - -from models.common import cloud_api -from models.common.glb_utils import glb_summary - -logger = logging.getLogger(__name__) - -#: Where a human gets a key. Quoted verbatim in the fail-fast message (R1.6). -SIGNUP_URL = "https://platform.tripo3d.ai/api-keys" - -DEFAULT_API_BASE = "https://openapi.tripo3d.ai/v3" - -#: Short names accepted for `model_path`, mapped to the ids the API expects. -#: Unknown values are passed through untouched, so a version released after this -#: file was written still works without a code change. -MODEL_ALIASES: dict[str, str] = { - "tripo": "v3.1-20260211", - "tripo-v3.1": "v3.1-20260211", - "v3.1": "v3.1-20260211", - "tripo-v3.0": "v3.0-20250812", - "v3.0": "v3.0-20250812", - "tripo-v2.5": "v2.5-20250123", - "v2.5": "v2.5-20250123", - # P series — natively low-poly, the cheap option for mesh particles (B4.2). - "tripo-p1": "P1-20260311", - "p1": "P1-20260311", -} - -DEFAULT_MODEL = "v3.1-20260211" - -#: Terminal task states. Tripo reports lower-case; compared case-insensitively. -DONE_STATES = ("success", "succeeded", "finished", "completed") -FAILED_STATES = ("failed", "cancelled", "canceled", "banned", "expired", "unknown") - -#: Output fields that have carried the download URL across API versions. -_MODEL_URL_KEYS = ("model_url", "pbr_model", "model", "base_model", "glb", "gltf") - -#: `face_limit` range the service accepts **while `smart_low_poly` is on**. -#: Outside it the request is rejected with a terminal 400: -#: "when smart_low_poly is enabled, face_limit must be between 500 and 20000 -#: (triangle mesh), got 30000" -#: Not in the public docs; found by calling it. -LOW_POLY_FACE_LIMIT_RANGE = (500, 20_000) - - -class TripoModel: - """ - Cloud image-to-3D / text-to-3D through Tripo3D. - - Interchangeable with `Trellis2Model` in `Gen3DObjectOperator`: the - `infer_and_save(image, output_path, seed, decimation_target, texture_size)` - call signature is positionally identical (model_require.md R6). - - Args: - model_path: [C1] Tripo model version id, or an alias from `MODEL_ALIASES`. - device: [C2] Accepted for interface parity, ignored. "cpu" is fine. - api_key: Explicit key; defaults to `$TRIPO_API_KEY`, read at first call. - timeout: [C6] Seconds to wait for one generation task. - poll_interval: Seconds between status polls. - max_retries: [C9] Extra attempts for retryable HTTP failures. - cache_dir: [C8] Directory for the response cache. None disables it. - output_format: "glb" is produced natively. Any other format needs the - conversion endpoint — see `convert_path`. - convert_path: API path of the format-conversion endpoint. Left as None - because it is not pinned down in the public v3 docs; set it - to enable `output_format="fbx"` without touching this file. - low_poly: [B4.3] Ask the service for clean low-poly topology - (`smart_low_poly`) instead of decimating locally. - texture / pbr / quad / texture_quality / geometry_quality: - Forwarded verbatim to the generation endpoint. - api_base: Override the API root (defaults to `$TRIPO_API_BASE`). - verbose: Print task progress; off by default (R3.7). - """ - - #: Provider name, used for cache namespacing and log lines. - PROVIDER = "tripo" - - def __init__( - self, - model_path: str = DEFAULT_MODEL, - device: str = "cuda", - *, - api_key: Optional[str] = None, - # Measured: image-to-3D with smart_low_poly took **601 s**, i.e. it would - # have died one second past a 600 s budget. Timing out does not refund - # the credits — the task finishes server-side and only the download is - # lost — so the default errs long. The error carries the task_id. - timeout: int = 1800, - poll_interval: float = 3.0, - max_retries: int = 3, - cache_dir: Optional[str] = None, - output_format: str = "glb", - convert_path: Optional[str] = None, - low_poly: bool = False, - texture: bool = True, - pbr: bool = True, - quad: bool = False, - texture_quality: str = "standard", - geometry_quality: str = "standard", - api_base: Optional[str] = None, - http_timeout: int = 60, - verbose: bool = False, - **model_specific: Any, - ): - # [CONTRACT-DEVIATION C1] model_path is a version id, not a weight location. - # [CONTRACT-DEVIATION C2] device accepted for interface parity, ignored. - self.model_path = MODEL_ALIASES.get(str(model_path).lower(), model_path) - self.device = device - - # R2.4 — every constructor argument lands on self before anything loads, - # so unload()/reload round-trips without losing configuration. - self.api_key = api_key - self.timeout = timeout - self.poll_interval = poll_interval - self.max_retries = max_retries - self.cache_dir = cache_dir - self.output_format = output_format.lower().lstrip(".") - self.convert_path = convert_path - self.low_poly = low_poly - self.texture = texture - self.pbr = pbr - self.quad = quad - self.texture_quality = texture_quality - self.geometry_quality = geometry_quality - self.api_base = (api_base or os.environ.get("TRIPO_API_BASE") - or DEFAULT_API_BASE) - self.http_timeout = http_timeout - self.verbose = verbose - self.model_specific = model_specific - - self._client: Optional[cloud_api.CloudAPIClient] = None - self._cache = cloud_api.ResponseCache(cache_dir, self.PROVIDER) - - #: Record of the most recent **real** call: task_id, elapsed_sec, credits, - #: triangles, bytes, cached. Operators copy it into meta.json (R9.8). - self.last_call_info: dict[str, Any] = {} - - # ── plumbing ────────────────────────────────────────────────────────────── - - @property - def client(self) -> cloud_api.CloudAPIClient: - """ - HTTP client, created on first use. - - [C6/R9.7] The API key is resolved here rather than in `__init__`, so the - wrapper can be imported and constructed on a machine with no credentials - (which is exactly what `test/harness/smoke.py` does). - """ - if self._client is None: - key = cloud_api.require_api_key( - self.api_key, "TRIPO_API_KEY", SIGNUP_URL, who="TripoModel") - self._client = cloud_api.CloudAPIClient( - self.api_base, key, - timeout=self.http_timeout, - max_retries=self.max_retries, - ) - return self._client - - def unload(self) -> None: - """[C4] Close the HTTP session. Idempotent, and safe before any call.""" - if self._client is not None: - self._client.close() - self._client = None - - close = unload - - @staticmethod - def _unwrap(resp: Any) -> dict: - """ - Strip Tripo's `{"code": 0, "data": {...}}` envelope. - - A non-zero `code` on an HTTP 200 is a terminal application error — the - same request will fail the same way, so it must not be retried (R9.9). - """ - if not isinstance(resp, dict): - raise cloud_api.CloudAPIError(f"unexpected response type {type(resp).__name__}: {resp!r}") - code = resp.get("code") - if code not in (None, 0): - message = resp.get("message") or resp.get("msg") or resp - suggestion = resp.get("suggestion") - raise cloud_api.CloudAPIRequestError( - f"Tripo API error code={code}: {message}" - + (f" — {suggestion}" if suggestion else ""), - payload=resp, - ) - data = resp.get("data") - return data if isinstance(data, dict) else resp - - def _upload_image(self, png: bytes) -> str: - """Upload PNG bytes, return the `file_token` used as generation input.""" - data = self._unwrap(self.client.request( - "POST", "/files", - files={"file": ("input.png", png, "image/png")}, - )) - token = data.get("file_token") or data.get("image_token") or data.get("token") - if not token: - raise cloud_api.CloudAPIError( - f"upload succeeded but no file_token in the response: {data}") - return str(token) - - @staticmethod - def _extract_model_url(task: dict) -> str: - """Find the artifact URL in a finished task, across output field names.""" - output = task.get("output") or task.get("result") or {} - for key in _MODEL_URL_KEYS: - value = output.get(key) - if isinstance(value, str) and value.startswith("http"): - return value - if isinstance(value, dict) and isinstance(value.get("url"), str): - return value["url"] - raise cloud_api.CloudAPIError( - f"task {task.get('task_id')} reported success but carries no model URL. " - f"output={output!r}", - task_id=task.get("task_id"), payload=task) - - def _fetch_task(self, task_id: str) -> dict: - return self._unwrap(self.client.request("GET", f"/tasks/{task_id}")) - - # ── payload ─────────────────────────────────────────────────────────────── - - def _clamp_face_limit(self, value: int) -> int: - """ - Keep `face_limit` inside the range the service accepts. - - `Gen3DObjectOperator` forwards TRELLIS.2's default of 1 000 000, and with - `low_poly=True` anything outside 500-20 000 is a terminal 400. Clamping - (loudly) keeps the backends interchangeable (R6) rather than making the - caller special-case each provider. - """ - value = int(value) - if not self.low_poly: - return value - low, high = LOW_POLY_FACE_LIMIT_RANGE - clamped = max(low, min(value, high)) - if clamped != value: - logger.warning("[tripo] face_limit %s clamped to %s " - "(smart_low_poly range %s-%s)", value, clamped, low, high) - return clamped - - def _build_payload( - self, - *, - prompt: Optional[str], - negative_prompt: Optional[str], - seed: Optional[int], - decimation_target: Optional[int], - provider_kwargs: dict, - ) -> dict: - """Generation parameters shared by the image and text endpoints.""" - payload: dict[str, Any] = { - "model": self.model_path, - "texture": self.texture, - "pbr": self.pbr, - "texture_quality": self.texture_quality, - "geometry_quality": self.geometry_quality, - } - if self.quad: - payload["quad"] = True - if self.low_poly: - # [B4.3] Ask the service for low-poly topology. Decimating a 2M-face - # mesh locally wrecks UVs and normals; generating low-poly does not. - payload["smart_low_poly"] = True - if decimation_target: - payload["face_limit"] = self._clamp_face_limit(decimation_target) - if prompt: - payload["prompt"] = prompt - if negative_prompt: - payload["negative_prompt"] = negative_prompt - if seed is not None: - # [CONTRACT-DEVIATION C5] forwarded, but the service does not promise - # that the same seed reproduces the same mesh. Never faked locally. - payload["model_seed"] = int(seed) - payload["texture_seed"] = int(seed) - payload.update(provider_kwargs) - return payload - - # ── inference ───────────────────────────────────────────────────────────── - - def infer( - self, - image: Any = None, - seed: int = 42, - decimation_target: Optional[int] = None, - texture_size: Optional[int] = None, - *, - prompt: Optional[str] = None, - negative_prompt: Optional[str] = None, - image_url: Optional[str] = None, - verbose: Optional[bool] = None, - **provider_kwargs: Any, - ) -> bytes: - """ - Generate one 3D asset and return the model file bytes. - - [C6] Submits the task, polls until it finishes, downloads the artifact — - all inside this call. Typical wall time is 20 s to 4 min. - - Args: - image: Reference image as `PIL.Image.Image`, `np.ndarray` or PNG - `bytes`. Not a path (R3.2). Give `image`, `image_url` or - `prompt`; image wins when several are present. - seed: [C5] Forwarded as `model_seed` / `texture_seed`. Reproducibility - is not guaranteed server-side. - decimation_target: Target face count, forwarded as `face_limit`. - None leaves it to the service. - texture_size: Accepted for signature parity with `Trellis2Model` and - **ignored** — Tripo exposes `texture_quality`, not a - resolution. Pass `texture_quality=` to the constructor. - prompt: Text prompt for text-to-3D. [A4 decision] The operator slot is - image-to-3D today; accepting `prompt` here keeps text-to-3D - available without a second wrapper. - negative_prompt: Text-to-3D only. - image_url: Publicly reachable image URL, used instead of uploading. - verbose: Override the constructor's verbosity for this call. - **provider_kwargs: Merged into the request body verbatim, so a new - API parameter needs no change here. - - Returns: - The model file as `bytes` — GLB unless `output_format`/`convert_path` - say otherwise. - - Raises: - CloudAPIAuthError: no or invalid `TRIPO_API_KEY`. - CloudAPIQuotaError: out of credits (terminal, never retried). - CloudTaskTimeout: not finished within `timeout`; carries `task_id`. - CloudTaskFailed: the service rejected or failed the task. - """ - verbose = self.verbose if verbose is None else verbose - if image is None and image_url is None and not prompt: - raise ValueError( - "TripoModel.infer needs an image (`image=` / `image_url=`) or a " - "text `prompt=`; got neither.") - if texture_size is not None: - # [CONTRACT-DEVIATION C2-style] accepted for parity, ignored. - logger.debug("[tripo] texture_size=%s ignored; use texture_quality", - texture_size) - if self.output_format != "glb" and not self.convert_path: - raise NotImplementedError( - f"TripoModel produces GLB; output_format={self.output_format!r} needs " - f"Tripo's conversion endpoint, whose path is not pinned in the public " - f"v3 docs. Either set convert_path=... on the constructor, use " - f"MeshyModel(output_format='fbx') which returns FBX natively, or " - f"convert the GLB with engine_adapters/blender/." - ) - - png = cloud_api.image_to_png_bytes(image) if image is not None else None - use_image = png is not None or bool(image_url) - payload = self._build_payload( - # The image endpoint has no prompt field — sending one is a terminal - # 400. An image plus a prompt means "use the image". - prompt=None if use_image else prompt, - negative_prompt=None if use_image else negative_prompt, - seed=seed, - decimation_target=decimation_target, provider_kwargs=provider_kwargs, - ) - - # [C8] Cache key covers everything that changes the output. The image is - # represented by its hash, never its bytes, and the key never sees the API key. - cache_key = cloud_api.request_hash({ - "provider": self.PROVIDER, - "payload": payload, - "image_sha256": cloud_api.bytes_hash(png) if png else None, - "image_url": image_url, - "output_format": self.output_format, - }) - cached = self._cache.get(cache_key, ext=self.output_format) - if cached is not None: - self.last_call_info = { - "provider": self.PROVIDER, "cached": True, "cache_key": cache_key, - "bytes": len(cached), **glb_summary(cached), - } - return cached - - t0 = time.time() - if png is not None: - # `input` takes a file_token, a public URL or a previous task id. - payload["input"] = self._upload_image(png) - endpoint = "/generation/image-to-model" - elif image_url: - payload["input"] = image_url - endpoint = "/generation/image-to-model" - else: - endpoint = "/generation/text-to-model" - - created = self._unwrap(self.client.request("POST", endpoint, json_body=payload)) - task_id = str(created.get("task_id") or created.get("id") or "") - if not task_id: - raise cloud_api.CloudAPIError( - f"{endpoint} accepted the request but returned no task_id: {created}") - if verbose: - print(f"[tripo] task {task_id} submitted ({endpoint})") - - # Some responses already carry a finished task; only poll when they do not. - state = str(created.get("status", "")).lower() - if state in DONE_STATES: - task = created - else: - task = cloud_api.poll_task( - lambda: self._fetch_task(task_id), - task_id=task_id, - timeout=self.timeout, - poll_interval=self.poll_interval, - done_states=DONE_STATES, - failed_states=FAILED_STATES, - verbose=verbose, - ) - - data = self.client.download(self._extract_model_url(task)) - elapsed = time.time() - t0 - - info = glb_summary(data) if self.output_format == "glb" else {"bytes": len(data)} - self.last_call_info = { - "provider": self.PROVIDER, - "model": self.model_path, - "task_id": task_id, - "elapsed_sec": round(elapsed, 2), - "credits": task.get("credits_consumed", task.get("credits")), - "cached": False, - "cache_key": cache_key, - # The provider's own render — see the note in meshy_model.py. - "preview_url": (task.get("output") or {}).get("rendered_image_url"), - **info, - } - # R9.8 — one line per billed call: what it cost and what it produced. - logger.info( - "[tripo] task=%s model=%s %.1fs credits=%s triangles=%s bytes=%s", - task_id, self.model_path, elapsed, self.last_call_info.get("credits"), - info.get("triangles"), len(data), - ) - if verbose: - print(f"[tripo] {self.last_call_info}") - - self._cache.put(cache_key, data, { - "provider": self.PROVIDER, "payload": payload, - **{k: v for k, v in self.last_call_info.items() if k != "cache_key"}, - }, ext=self.output_format) - return data - - def infer_and_save( - self, - image: Any = None, - output_path: Optional[str] = None, - seed: int = 42, - decimation_target: Optional[int] = None, - texture_size: Optional[int] = None, - *, - prompt: Optional[str] = None, - negative_prompt: Optional[str] = None, - image_url: Optional[str] = None, - verbose: Optional[bool] = None, - **provider_kwargs: Any, - ) -> str: - """ - [C7] The documented R1.2 exception: run `infer()` and write the result. - - The path comes **in** from the caller and is never derived here — the - operator owns artifact placement. - - Args: - output_path: Destination file. Parent directories are created. - (everything else: see `infer`) - - Returns: - `str(output_path)`. - """ - if not output_path: - raise ValueError("output_path is required (model_require.md R1.2)") - data = self.infer( - image, seed, decimation_target, texture_size, - prompt=prompt, negative_prompt=negative_prompt, image_url=image_url, - verbose=verbose, **provider_kwargs, - ) - out = Path(output_path) - out.parent.mkdir(parents=True, exist_ok=True) - out.write_bytes(data) - return str(out) - - # ── account ─────────────────────────────────────────────────────────────── - - def balance(self) -> dict: - """ - Remaining credits: ``{"balance": float, "frozen": float}``. - - Cheap and unbilled — call it before a batch to check the budget (C4 note: - this is the only method that talks to the API without generating). - """ - return self._unwrap(self.client.request("GET", "/account/balance")) diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/operators/gen_3d_object/operator.py b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/operators/gen_3d_object/operator.py deleted file mode 100644 index c5b3d362ea28a51bac750f7a3efcd9a6459786db..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/operators/gen_3d_object/operator.py +++ /dev/null @@ -1,596 +0,0 @@ -""" -operators/gen_3d_object/operator.py - -Gen3DObjectOperator — accepts a loaded model and processes an input dict into a -3D output (GLB file on disk). - -The operator is intentionally model-agnostic: you inject any object that -implements the same interface as Trellis2Model. New model wrappers can be -swapped in without touching this file. - -Output layout — two modes, chosen by whether `output_dir` is given: - - * **per-game (default, `output_dir=None`)** — resolved by - `pipeline.common.paths`, so artifacts are grouped by generated game project:: - - test_data/outputs///assets/3d_object// - ├── model.glb - └── meta.json - - * **flat (legacy, `output_dir="..."`)** — writes `/.glb`, - byte-for-byte the historical behaviour. Existing callers are unaffected. - -Usage: - from models.gen_3d_object.trellis_2_model import Trellis2Model - from operators.gen_3d_object.operator import Gen3DObjectOperator - - model = Trellis2Model(model_path="...") - - # per-game layout - op = Gen3DObjectOperator(model=model, run_id="20260731_1032") - - # legacy flat layout (unchanged) - op = Gen3DObjectOperator(model=model, output_dir="outputs/3d_object") - - result = op.run({ - "game_id": "gameA_cyberpunk_shooter", # optional, inferred when omitted - "task_id": "sword_001", - "image_path": "path/to/image.png", # or "image": PIL.Image - "seed": 42, - }) - print(result["glb_path"]) - -Two optional extras, both additive and off unless asked for: - - * naming an ``asset_id`` in the task hands the finished mesh to the - three.js adapter — staged, oriented, manifest rewritten; - * ``run_art_plan(game_id, image_model)`` generates a whole game's - recorded art plan (``funcs/art_plan.py``) that way in one call. - -``funcs/asset_pack.py`` covers the other case: three CC0 models, -downloaded and imported in seconds, for when generating is overkill. - -A third route skips inference entirely. Passing ``spec`` instead of an -image builds the mesh from a declarative part list -(``funcs/code_asset.py``), which suits anything exactly describable — a -crate, a sign, a wheel, a rifle. It needs no model and no GPU, states its -own facing and size instead of leaving them to be guessed, and keeps its -parts as named glTF nodes so gameplay can still move them:: - - op = Gen3DObjectOperator(model=None, run_id="20260826_1400") - op.run({ - "game_id": "gameA_cyberpunk_shooter", - "task_id": "crate_001", - "spec": { - "subject": "wooden supply crate", - "units": "metres", "forward": "+z", - "asset_type": "prop", "height_metres": 0.6, - "parts": [{"id": "body", "kind": "box", - "size": [0.6, 0.6, 0.6], "at": [0, 0.3, 0]}], - }, - }) - -The two can be mixed, which is usually the best available answer for a -detailed hard-surface asset. A ``mesh`` part reads a GLB off disk — one -component generated by a cloud model — and is placed, measured and gated -exactly like a primitive. What each side contributes is not -interchangeable: the generator supplies shapes no formula states (a -moulded grip's finger swells), and the spec supplies the dimensions and -placement a prompt cannot specify (a rail's 30 mm slot pitch). Spending -generation on something a lathe states exactly buys an approximation at a -hundred times the triangles, and the approximation is the part that can no -longer be adjusted by editing a number — so the ``provenance`` gate -reports what was delegated and at what cost:: - - op.run({ - "game_id": "gameA_cyberpunk_shooter", - "task_id": "rifle_001", - "spec": { - "subject": "assault rifle", - "units": "metres", "forward": "+z", - "asset_type": "weapon", "height_metres": 0.24, - "parts": [ - # exact dimensions: stated - {"id": "receiver", "kind": "box", - "size": [0.04, 0.048, 0.30], "at": [0, 0.139, -0.03]}, - # moulded surface: fetched, with a uniform `size` so the - # mesh keeps the proportions it was generated with - {"id": "grip", "kind": "mesh", - "source": "parts/grip.glb", - "size": [0.116, 0.116, 0.116], "at": [0, 0.045, -0.104]}, - ], - }, - }) -""" -from __future__ import annotations - -import time -from pathlib import Path -from typing import Any, Optional - -from PIL import Image - -#: Registered task kind for this operator (see pipeline/common/paths.py). -TASK_KIND = "3d_object" - -#: Artifact filename used by the per-game layout. -GLB_FILENAME = "model.glb" - - -class Gen3DObjectOperator: - """ - Operator for 3D object generation. - - Args: - model: A loaded model with an `infer_and_save(image, output_path, ...)` method. - Currently supports Trellis2Model; any model with the same interface works. - output_dir (str, optional): **Legacy flat mode.** When given, every GLB is - written as `/.glb`, exactly as before. When - omitted (default), the per-game layout under - `test_data/outputs///assets/3d_object//` - is used instead. - run_id (str): Groups all artifacts of one generation run. Per-game mode only. - default_game_id (str, optional): Fallback game project for tasks that carry - no `game_id` and whose input paths reveal none. Per-game mode only. - """ - - def __init__( - self, - model: Any, - output_dir: Optional[str] = None, - run_id: str = "default", - default_game_id: Optional[str] = None, - ): - self.model = model - self.run_id = run_id - self.default_game_id = default_game_id - # Legacy flat mode is active only when an explicit output_dir is supplied. - self.output_dir = Path(output_dir) if output_dir else None - if self.output_dir is not None: - self.output_dir.mkdir(parents=True, exist_ok=True) - - # -------------------------------------------------------------------------- - - def _load_image(self, inp: dict) -> Image.Image: - """Return a PIL image from an input dict that has 'image_path' or 'image'.""" - if "image" in inp and isinstance(inp["image"], Image.Image): - return inp["image"] - if "image_path" in inp: - p = Path(inp["image_path"]) - if not p.is_absolute() and not p.exists(): - # resolve relative to repo root (codes_official/) - repo_root = Path(__file__).resolve().parents[2] - p = repo_root / inp["image_path"] - return Image.open(str(p)).convert("RGBA") - raise ValueError("Input must contain 'image_path' (str) or 'image' (PIL.Image).") - - # -------------------------------------------------------------------------- - - def _artifact_suffix(self) -> str: - """ - File extension for the artifact — GLB unless the injected model says - otherwise (the cloud backends can emit FBX / OBJ / USDZ). - - The result dict keeps the ``glb_path`` key whatever the extension is: - renaming a returned key breaks `eval.py` and `test/`. - """ - fmt = getattr(self.model, "output_format", None) - return str(fmt).lower().lstrip(".") if fmt else "glb" - - def _resolve_out_path(self, inp: dict, task_id: str) -> tuple[str, Path, Path]: - """ - Return ``(game_id, task_dir, glb_path)`` for either output mode. - - Legacy flat mode keeps the historical `/.glb`. - """ - suffix = self._artifact_suffix() - if self.output_dir is not None: - game_id = str(inp.get("game_id") or inp.get("game") or "") - return game_id, self.output_dir, self.output_dir / f"{task_id}.{suffix}" - - from pipeline.common import paths - game_id = paths.infer_game_id(inp, fallback=self.default_game_id) - task_dir = paths.task_output_dir(game_id, TASK_KIND, task_id, run_id=self.run_id) - filename = GLB_FILENAME if suffix == "glb" else f"model.{suffix}" - return game_id, task_dir, task_dir / filename - - # -------------------------------------------------------------------------- - - def run(self, inp: dict) -> dict: - """ - Generate a 3D object from an image prompt, or build one from a spec. - - Args: - inp (dict): - - image_path (str): path to the reference / concept image - OR image (PIL.Image): pre-loaded image - OR spec (dict): a part spec, which builds the mesh instead - of inferring it (see `funcs/code_asset.py`) - - compose (dict): combine_avatar arguments, including caller-defined - socket_definitions, grip_templates and optional slot_definitions - - game_id (str, optional): game project this task belongs to; - inferred from `image_path` when omitted - - task_id (str, optional): used to name the output file / directory - - seed (int, optional): random seed (default 42) - - decimation_target (int, optional) - - texture_size (int, optional) - - Returns: - dict: - - task_id (str) - - glb_path (str): absolute path to the saved GLB file - - elapsed_sec (float) - - game_id (str), task_kind (str), output_dir (str) ← additive - """ - if inp.get("compose") is not None: - if inp.get("spec") is not None: - raise ValueError("provide compose or spec, not both") - return self._run_compose(inp) - if inp.get("spec") is not None: - return self._run_spec(inp) - - task_id = inp.get("task_id", f"task_{int(time.time())}") - seed = inp.get("seed", 42) - decimation_target = inp.get("decimation_target", 1_000_000) - texture_size = inp.get("texture_size", 4096) - - game_id, task_dir, out_path = self._resolve_out_path(inp, task_id) - - text_mode = inp.get("input_mode") == "text_to_3d" - if text_mode and not str(inp.get("prompt") or "").strip(): - raise ValueError("text_to_3d requires a non-empty prompt") - image = None if text_mode else self._load_image(inp) - inference_kwargs = {"prompt": inp["prompt"]} if text_mode else {} - - t0 = time.time() - glb_path = self.model.infer_and_save( - image, - output_path=str(out_path), - seed=seed, - decimation_target=decimation_target, - texture_size=texture_size, - **inference_kwargs, - ) - elapsed = time.time() - t0 - - result = { - "task_id": task_id, - "glb_path": glb_path, - "elapsed_sec": round(elapsed, 2), - "game_id": game_id, - "task_kind": TASK_KIND, - "output_dir": str(task_dir), - } - - # Image-to-3D infers a floor under a subject that stands on the edge - # of its own crop, and it is never wanted: measured at a fifth of the - # triangle budget, and a grey pancake under the character in the - # scene. Removing it here means every consumer of this task output - # gets a clean mesh, rather than each game discovering the slab. - if inp.get("strip_ground_plate", True): - from .funcs.mesh_cleanup import strip_ground_plate - - cleanup = strip_ground_plate(glb_path) - result["ground_plate"] = cleanup - if cleanup.get("applied"): - result.setdefault("warnings", []).append( - f"removed an inferred floor: {cleanup['plate_count']} " - f"sheets and {cleanup['debris_count']} loose lumps, " - f"{cleanup['removed_fraction']:.0%} of the mesh" - ) - elif cleanup.get("reason") and "nothing" not in cleanup["reason"]: - result.setdefault("warnings", []).append( - f"left the mesh alone: {cleanup['reason']}" - ) - - # meta.json only in per-game mode, so legacy output dirs stay untouched. - if self.output_dir is None: - from pipeline.common import paths - meta = { - **result, - "run_id": self.run_id, - "prompt": inp.get("prompt"), - "source_image": inp.get("image_path"), - "seed": seed, - "decimation_target": decimation_target, - "texture_size": texture_size, - "model": type(self.model).__name__, - } - for key in ("asset_id", "asset_type", "forward_axis", - "scale_hint_metres", "notes"): - if inp.get(key) is not None: - meta[key] = inp[key] - # Cloud backends expose what the call cost and produced — task id, - # credits, triangle count (api_model_require.md R9.8). Recording it - # here is what makes a billed run reproducible after the fact. - call_info = getattr(self.model, "last_call_info", None) - if call_info: - meta["model_call"] = dict(call_info) - paths.write_task_meta(task_dir, meta) - - # Optional handover to the engine adapter, active only when the task - # names an asset. A generated mesh is not part of a game until the - # adapter has staged it and recorded which way it faces. - if inp.get("asset_id") and self.output_dir is None: - from .funcs.asset_import import import_asset - result.update( - import_asset( - game_id, - task_id, - asset_id=str(inp["asset_id"]), - asset_type=str(inp.get("asset_type") or "prop"), - run_id=self.run_id, - forward_axis=str(inp.get("forward_axis") or ""), - scale_hint_metres=inp.get("scale_hint_metres"), - verified_by=str(inp.get("verified_by") or "heuristic"), - notes=str(inp.get("notes") or ""), - project_hint=str(inp.get("project_hint") or ""), - preview=bool(inp.get("preview", True)), - ) - ) - - return result - - # -------------------------------------------------------------------------- - - def _run_compose(self, inp: dict) -> dict: - """Resolve caller-configured attachments, then build through the spec route.""" - import json - from .funcs.code_asset_templates.human_template.combine import ( - combine_avatar, write_report, - ) - - task_id = inp.get("task_id", f"task_{int(time.time())}") - _, _, out_path = self._resolve_out_path(inp, task_id) - directory = out_path.parent / f"{out_path.stem}_compose" - config = dict(inp["compose"]) - config.setdefault("parts_dir", directory / "parts") - started = time.time() - combined = combine_avatar(**config) - result = self._run_spec({**inp, "task_id": task_id, "spec": combined["spec"]}) - report_path = write_report(combined["report"], directory / "report.json") - sockets_path = directory / "sockets.json" - sockets_path.write_text(json.dumps(combined["report"]["sockets"], indent=2), - encoding="utf-8") - result["compose"] = {**combined["report"], "report_path": report_path, - "sockets_path": str(sockets_path)} - result["elapsed_sec"] = round(time.time() - started, 2) - return result - - def _run_spec(self, inp: dict) -> dict: - """Build the asset from a declarative spec rather than an image. - - Taken when the task carries a ``spec``. No model is loaded and no - image is read, so this path works with ``model=None`` — a crate - does not need a GPU, and requiring one to build a box is what makes - primitives feel like a defeat rather than a choice. - - Three things come out of the spec that the generated path can only - guess at, which is the reason to prefer it wherever it applies: - - * ``forward_axis`` is *stated*, so the import is recorded as - ``verified_by="spec"`` rather than ``"heuristic"``. Facing is - the one property `orientation_review` exists to establish, and - here there is nothing to establish. - * ``scale_hint_metres`` is stated, so the mesh has a real size - instead of a unit box someone has to scale by eye. - * parts keep their ids as glTF node names, so a wheel can be spun - after import. A reconstructed mesh is one fused body. - - ``strip_ground_plate`` is deliberately not run: it removes a floor - that image-to-3D *invented*, and a spec cannot invent one. Running - it here would risk deleting a plinth that was asked for. - - A spec may also carry ``mesh`` parts, which read a GLB off disk — - typically one component from a cloud model, composed in where no - formula states the shape. Those change one thing here and nothing - else: ``verified_by`` drops to ``"spec+generated"``, because a - generated part's facing was *asserted* by whoever placed it and not - established by anything. Claiming ``"spec"`` for a composition that - is largely fetched geometry would put an unverified facing behind the - one label that is supposed to mean it was not guessed. - """ - from .funcs.code_asset import MESH_KIND, build_code_asset - - task_id = inp.get("task_id", f"task_{int(time.time())}") - game_id, task_dir, out_path = self._resolve_out_path(inp, task_id) - # A spec always yields glTF, whatever output_format an injected - # model happens to advertise. - out_path = out_path.with_suffix(".glb") - task_dir.mkdir(parents=True, exist_ok=True) - - t0 = time.time() - report = build_code_asset( - inp["spec"], - str(out_path), - revise=inp.get("revise"), - strict=bool(inp.get("strict", True)), - ) - elapsed = time.time() - t0 - - # Which parts were fetched rather than derived. Carried on the result - # because after export the two are indistinguishable, and only one of - # them can still be changed by editing a number: a reviewer who wants - # the grip 4 mm thicker needs to know that means regenerating it. - # `long_axis` travels too, since a regenerated part is a new set of - # axes and the rotation that placed the old one will not place it. - generated_parts = [ - { - "id": part["id"], - "source": part["source"], - "long_axis": part.get("long_axis"), - } - for part in report["spec"]["parts"] - if part.get("kind") == MESH_KIND - ] - - result: dict[str, Any] = { - "task_id": task_id, - "glb_path": report["glb_path"], - "elapsed_sec": round(elapsed, 2), - "game_id": game_id, - "task_kind": TASK_KIND, - "output_dir": str(task_dir), - "source": "code_asset+generated" if generated_parts else "code_asset", - "spec_ok": report["ok"], - "gates": report["gates"], - "triangles": report["triangles"], - "bounds": report["bounds"], - "part_ids": report["part_ids"], - "generated_parts": generated_parts, - "stop_reason": report["stop_reason"], - "attempts": report["attempts"], - } - if report["warnings"]: - result.setdefault("warnings", []).extend(report["warnings"]) - if report["failures"]: - # Surfaced as warnings on the result *and* kept in `gates`: a - # gate failure that only appears in a nested dict is the silent - # early return this whole module is shaped against. - result.setdefault("warnings", []).extend( - f"gate: {message}" for message in report["failures"] - ) - - if self.output_dir is None: - from pipeline.common import paths - - meta = { - **result, - "run_id": self.run_id, - "spec": report["spec"], - "forward_axis": report["forward_axis"], - "scale_hint_metres": report["scale_hint_metres"], - "model": "code_asset", - } - for key in ("asset_id", "asset_type", "notes"): - if inp.get(key) is not None: - meta[key] = inp[key] - paths.write_task_meta(task_dir, meta) - - # A failed spec is not handed to the engine. An asset that exists - # gets used, so a gate failure has to stop it becoming an asset. - if inp.get("asset_id") and self.output_dir is None and report["ok"]: - from .funcs.asset_import import import_asset - - result.update( - import_asset( - game_id, - task_id, - asset_id=str(inp["asset_id"]), - asset_type=str( - inp.get("asset_type") - or report["spec"].get("asset_type") - or "prop" - ), - run_id=self.run_id, - # Stated by the spec, not inferred from a view. - forward_axis=report["forward_axis"], - scale_hint_metres=report["scale_hint_metres"], - # "spec" means the facing was stated rather than guessed. - # With generated parts in the composition that is only - # half true: the *placement* is stated, but the mesh - # inside it came from a generator with no facing of its - # own, and whoever wrote the rotation asserted one. Said - # distinctly so a reviewer knows an orientation check is - # still worth a look, instead of trusting a label that - # was earned by a different route. - verified_by="spec+generated" if generated_parts else "spec", - notes=str(inp.get("notes") or "") - or ( - f"Built from a spec: {report['subject']}." - + ( - f" {len(generated_parts)} generated part(s): " - f"{', '.join(part['id'] for part in generated_parts)}." - if generated_parts else "" - ) - ), - project_hint=str(inp.get("project_hint") or ""), - preview=bool(inp.get("preview", True)), - ) - ) - return result - - # -------------------------------------------------------------------------- - - def run_art_plan( - self, - game_id: str, - image_model: Any = None, - plan: Optional[list[dict]] = None, - assets: tuple[str, ...] = (), - ) -> list[dict]: - """ - Generate a game's recorded art plan and import each asset. - - The plan lives in `funcs/art_plan.py`; it names a subject, an asset - type and a **height in metres**, because a mesh normalised into a - unit box has no size of its own. Concept images come from - `image_model` unless an entry points at one. - - Facing is recorded as `heuristic`, never as verified: single-image - reconstruction puts the input view on a predictable axis, but a - guess labelled as checked stops anyone checking. Each import leaves - a review sheet for `agent_skills/asset_qa/`. - """ - from .funcs.art_plan import concept_image, plan_for_game - - entries = plan if plan is not None else plan_for_game(game_id) - if not entries: - raise ValueError( - f"No art plan for {game_id!r}; add one to " - "operators/gen_3d_object/funcs/art_plan.py" - ) - - results: list[dict] = [] - for entry in entries: - if assets and entry["asset_id"] not in assets: - continue - image, provenance, framing = concept_image(entry, image_model) - task_dir = Path( - self._resolve_out_path( - {"game_id": game_id}, entry["task_id"] - )[1] - ) - task_dir.mkdir(parents=True, exist_ok=True) - # Keep the concept image beside the mesh it produced: a bad - # asset is almost always a bad concept image, and that is not - # diagnosable after the fact if the input was thrown away. - image.save(task_dir / "concept.png") - result = self.run( - { - "game_id": game_id, - "task_id": entry["task_id"], - "image": image, - "prompt": entry["full_prompt"], - "seed": entry.get("seed", 42), - "decimation_target": entry["triangles"], - "texture_size": entry["texture"], - "asset_id": entry["asset_id"], - "asset_type": entry["type"], - "forward_axis": entry["faces"], - "scale_hint_metres": entry["height"], - "verified_by": "heuristic", - "notes": entry["notes"] - or f"Generated from: {provenance}. Facing assumed " - "from the input view.", - } - ) - result["asset_id"] = entry["asset_id"] - result["concept_source"] = provenance - result["framing"] = framing - if framing.get("touched_border"): - # The subject ran off the edge of the generated image, so - # part of it was never drawn. Cropping cannot invent it. - result.setdefault("warnings", []).append( - "the concept image was cropped at the border, so the " - "mesh is probably truncated: regenerate with another " - "seed" - ) - results.append(result) - return results - - # -------------------------------------------------------------------------- - - def run_batch(self, inputs: list[dict]) -> list[dict]: - """Run a list of input dicts sequentially and return results.""" - return [self.run(inp) for inp in inputs] diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/pipeline/common/paths.py b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/pipeline/common/paths.py deleted file mode 100644 index 94e8ec7b966e0c84658fd5322dc30f0c769f0f2f..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/pipeline/common/paths.py +++ /dev/null @@ -1,444 +0,0 @@ -""" -pipeline/common/paths.py - -Single source of truth for every input / output path in 3AGameFactory. - -The benchmark is authored **per game project**, so outputs are organized the same -way. An artifact is uniquely addressed by ``(game_id, run_id, task_kind, task_id)``:: - - test_data/test_samples///... # inputs (read-only) - test_data/outputs////// # outputs - -Full output tree:: - - test_data/outputs/ # OUTPUT_ROOT ($AAAGF_OUTPUT_ROOT) - └── gameA_cyberpunk_shooter/ # one dir per generated game project - ├── latest -> 20260731_1032/ # symlink to the most recent run - └── / # "default", or a timestamp - ├── run_meta.json # ckpts · seeds · git sha · argv - ├── assets/ - │ ├── 3d_object// # model.glb + meta.json - │ ├── tpose// # tpose_fg.png + meta.json - │ ├── 3d_scene// - │ ├── motion// - │ ├── cg_video// - │ └── audio// # dialogue / sound-effect audio + meta.json - ├── mechanic// # engine project + demo_outputs/ + launch.sh - ├── ui// - ├── pipeline// # end-to-end game-slice artifacts - └── eval/ - ├── // # metrics.json · build.log · judge_log.json - └── summary.json # aggregate over the whole run - -The root stays next to the test set so any evaluator finds inputs and outputs side -by side. Generated artifacts get large — point ``$AAAGF_OUTPUT_ROOT`` at a scratch -disk to relocate the whole tree without touching code. - -This module has **no third-party dependencies** and imports no models, so it is -safe to import from anywhere (including CPU-only tooling and tests). -""" -from __future__ import annotations - -import json -import os -import subprocess -import sys -from datetime import datetime -from pathlib import Path -from typing import Any, Optional - -# ── Roots ───────────────────────────────────────────────────────────────────── - -REPO_ROOT = Path(__file__).resolve().parents[2] - -TEST_DATA_ROOT = REPO_ROOT / "test_data" -TEST_SAMPLES_ROOT = TEST_DATA_ROOT / "test_samples" - -#: Output root. Override with ``export AAAGF_OUTPUT_ROOT=/scratch/aaagf_outputs``. -OUTPUT_ROOT = Path( - os.environ.get("AAAGF_OUTPUT_ROOT", TEST_DATA_ROOT / "outputs") -).expanduser() - -#: Used when a task carries no game association (ad-hoc single-image demos). -UNASSIGNED_GAME = "_scratch" - -#: Run id used when the caller does not ask for a fresh timestamped one. -DEFAULT_RUN_ID = "default" - -LATEST_LINK = "latest" - - -# ── Task kinds ──────────────────────────────────────────────────────────────── - -#: task_kind -> layer directory. Layer A = assets, B = mechanic, C = ui. -TASK_LAYER: dict[str, str] = { - # Layer A — asset generation - "3d_object": "assets", - "tpose": "assets", - "3d_scene": "assets", - "motion": "assets", - "cg_video": "assets", - "audio": "assets", - # Game design (story / chapters / asset & screen plan) — A-layer diagnostic only - "design": "design", - # Layer B / C — code generation - "mechanic": "mechanic", - "ui": "ui", - # End-to-end vertical slice - "pipeline": "pipeline", - # Whitebox-stage game evaluation (stage-1 LLM/Agent whitebox rubric) — - # an eval-only kind: results land under ``eval/whitebox//`` - "whitebox": "whitebox", -} - -#: task_kind -> directory name inside ``test_samples//``. -TASK_INPUT_DIR: dict[str, str] = { - "3d_object": "3D_object", - "tpose": "tpose", - "3d_scene": "3D_scene", - "motion": "motion", - "cg_video": "cg_video", - "audio": "audio", - "design": "design", - "mechanic": "mechanic", - "ui": "ui", - "pipeline": "pipeline", - # whitebox case inputs (game_spec/rubric/references) live under - # ``test_bench_example//``; this dir keeps the registration - # complete for the shared task-input helpers. - "whitebox": "whitebox", -} - -#: task_kind -> per-game task list filename inside ``TASK_INPUT_DIR``. -TASK_JSONL: dict[str, str] = { - "3d_object": "object_tasks.jsonl", - "tpose": "tpose_tasks.jsonl", - "3d_scene": "scene_tasks.jsonl", - "motion": "motion_tasks.jsonl", - "cg_video": "cg_tasks.jsonl", - "audio": "audio_tasks.jsonl", - "design": "design_tasks.jsonl", - "mechanic": "mechanic_tasks.jsonl", - "ui": "ui_tasks.jsonl", - "pipeline": "pipeline_task.jsonl", - "whitebox": "whitebox_tasks.jsonl", -} - -#: task_kind -> cross-game aggregate jsonl under ``test_samples/``. -TASK_COLLECT_JSONL: dict[str, str] = { - "3d_object": "3D_object_gen_collect.jsonl", - "tpose": "tpose_gen_collect.jsonl", - "3d_scene": "3D_scene_gen_collect.jsonl", - "motion": "motion_gen_collect.jsonl", - "cg_video": "cg_video_collect.jsonl", - "audio": "audio_gen_collect.jsonl", - "design": "design_collect.jsonl", - "mechanic": "mechanic_collect.jsonl", - "ui": "ui_collect.jsonl", - "pipeline": "pipeline_collect.jsonl", - "whitebox": "whitebox_collect.jsonl", -} - -#: Layer-A kinds only — what ``pipeline/assets_gen/`` covers. -ASSET_TASK_KINDS = tuple(k for k, v in TASK_LAYER.items() if v == "assets") - - -def check_kind(task_kind: str) -> str: - """Raise a helpful error for an unregistered task kind.""" - if task_kind not in TASK_LAYER: - raise ValueError( - f"Unknown task_kind {task_kind!r}. Register it in " - f"pipeline/common/paths.py first. Known: {sorted(TASK_LAYER)}" - ) - return task_kind - - -# ── Input paths ─────────────────────────────────────────────────────────────── - -def game_input_dir(game_id: str) -> Path: - """``test_data/test_samples//``""" - return TEST_SAMPLES_ROOT / game_id - - -def task_input_dir(game_id: str, task_kind: str) -> Path: - """``test_data/test_samples///``""" - return game_input_dir(game_id) / TASK_INPUT_DIR[check_kind(task_kind)] - - -def task_jsonl(game_id: str, task_kind: str) -> Path: - """``test_data/test_samples///_tasks.jsonl``""" - return task_input_dir(game_id, task_kind) / TASK_JSONL[check_kind(task_kind)] - - -def collect_jsonl(task_kind: str) -> Path: - """``test_data/test_samples/_collect.jsonl`` — cross-game task list.""" - return TEST_SAMPLES_ROOT / TASK_COLLECT_JSONL[check_kind(task_kind)] - - -def resolve_tasks_path(task_kind: str, tasks: str | None = None, - game_id: str | None = None) -> Path: - """ - Standard task-list resolution shared by every ``run.py`` / ``eval.py``: - - explicit ``--tasks`` → the game's own ``*_tasks.jsonl`` (if non-empty) - → the cross-game ``*_collect.jsonl``. - """ - if tasks: - return resolve_input_path(tasks) - if game_id: - per_game = task_jsonl(game_id, task_kind) - if per_game.exists() and per_game.stat().st_size > 0: - return per_game - return collect_jsonl(task_kind) - - -def list_games() -> list[str]: - """Every game project directory present in the test set.""" - if not TEST_SAMPLES_ROOT.is_dir(): - return [] - return sorted( - p.name - for p in TEST_SAMPLES_ROOT.iterdir() - if p.is_dir() and not p.name.startswith((".", "_")) - ) - - -def infer_game_id(task: dict, fallback: Optional[str] = None) -> str: - """ - Resolve which game project a task belongs to. - - Priority: explicit ``game_id`` / ``game`` field → any path-like field that - sits under ``test_samples//`` → ``fallback`` → ``UNASSIGNED_GAME``. - """ - for key in ("game_id", "game"): - if task.get(key): - return str(task[key]) - - for value in task.values(): - if not isinstance(value, str) or "test_samples" not in value: - continue - parts = Path(value).parts - if "test_samples" in parts: - idx = parts.index("test_samples") - if idx + 1 < len(parts): - return parts[idx + 1] - - return fallback or UNASSIGNED_GAME - - -def iter_tasks(tasks_path: str | Path, game_filter: str | None = None): - """ - Yield ``(task_dict, game_id)`` from a jsonl, skipping blanks and comments. - - Every runner should iterate through this so `game_id` resolution and the - `--game` filter behave identically across tasks. - """ - with open(tasks_path) as f: - for lineno, line in enumerate(f, 1): - line = line.strip() - if not line or line.startswith("//"): - continue - try: - task = json.loads(line) - except json.JSONDecodeError as e: - raise ValueError(f"{tasks_path}:{lineno} is not valid JSON: {e}") from e - game_id = infer_game_id(task) - if game_filter and game_id != game_filter: - continue - yield task, game_id - - -# ── Output paths ────────────────────────────────────────────────────────────── - -def new_run_id(prefix: str = "") -> str: - """Timestamped run id, e.g. ``20260731_103200`` or ``qwen3b_20260731_103200``.""" - stamp = datetime.now().strftime("%Y%m%d_%H%M%S") - return f"{prefix}_{stamp}" if prefix else stamp - - -def game_output_dir(game_id: str) -> Path: - """``test_data/outputs//``""" - return OUTPUT_ROOT / game_id - - -def run_dir(game_id: str, run_id: str = DEFAULT_RUN_ID) -> Path: - """``test_data/outputs///`` — root of one generation run.""" - return game_output_dir(game_id) / run_id - - -def task_output_dir( - game_id: str, - task_kind: str, - task_id: str, - run_id: str = DEFAULT_RUN_ID, - create: bool = True, -) -> Path: - """ - ``test_data/outputs////[/]/`` - - One directory per task, so an artifact ships alongside its preview, - intermediates and ``meta.json`` without filename mangling. - """ - check_kind(task_kind) - layer = TASK_LAYER[task_kind] - base = run_dir(game_id, run_id) / layer - # assets/ is further split by kind; mechanic/ ui/ pipeline/ *are* the kind. - if layer == "assets": - base = base / task_kind - path = base / task_id - if create: - path.mkdir(parents=True, exist_ok=True) - return path - - -def eval_output_dir( - game_id: str, - task_kind: str, - task_id: str, - run_id: str = DEFAULT_RUN_ID, - create: bool = True, -) -> Path: - """``test_data/outputs///eval///``""" - check_kind(task_kind) - path = run_dir(game_id, run_id) / "eval" / task_kind / task_id - if create: - path.mkdir(parents=True, exist_ok=True) - return path - - -def eval_summary_path(game_id: str, run_id: str = DEFAULT_RUN_ID) -> Path: - """``test_data/outputs///eval/summary.json``""" - return run_dir(game_id, run_id) / "eval" / "summary.json" - - -def results_summary_path(game_id: str, task_kind: str, - run_id: str = DEFAULT_RUN_ID) -> Path: - """``test_data/outputs///_results_summary.json``""" - check_kind(task_kind) - return run_dir(game_id, run_id) / f"{task_kind}_results_summary.json" - - -def run_meta_path(game_id: str, run_id: str = DEFAULT_RUN_ID) -> Path: - """``test_data/outputs///run_meta.json``""" - return run_dir(game_id, run_id) / "run_meta.json" - - -# ── Run bookkeeping ─────────────────────────────────────────────────────────── - -def _git_sha() -> Optional[str]: - try: - out = subprocess.run( - ["git", "-C", str(REPO_ROOT), "rev-parse", "--short", "HEAD"], - capture_output=True, text=True, timeout=5, - ) - return out.stdout.strip() or None - except Exception: - return None - - -def update_latest_link(game_id: str, run_id: str) -> None: - """Repoint ``/latest`` at ``run_id`` (best effort, never fatal).""" - if run_id == LATEST_LINK: - return - link = game_output_dir(game_id) / LATEST_LINK - try: - link.parent.mkdir(parents=True, exist_ok=True) - if link.is_symlink() or link.exists(): - link.unlink() - link.symlink_to(run_id, target_is_directory=True) - except OSError: - pass # filesystem without symlink support — not fatal - - -def write_run_meta( - game_id: str, - run_id: str = DEFAULT_RUN_ID, - *, - task_kind: Optional[str] = None, - extra: Optional[dict[str, Any]] = None, -) -> Path: - """Record how a run was produced, so results stay reproducible.""" - path = run_meta_path(game_id, run_id) - path.parent.mkdir(parents=True, exist_ok=True) - - meta: dict[str, Any] = { - "game_id": game_id, - "run_id": run_id, - "task_kind": task_kind, - "created_at": datetime.now().isoformat(timespec="seconds"), - "git_sha": _git_sha(), - "argv": sys.argv, - } - if extra: - meta.update(extra) - - if path.exists(): # merge with an earlier task_kind in the same run - try: - prev = json.loads(path.read_text(encoding="utf-8")) - history = prev.pop("history", []) - history.append(prev) - meta["history"] = history - except (json.JSONDecodeError, OSError): - pass - - path.write_text(json.dumps(meta, indent=2, ensure_ascii=False), encoding="utf-8") - return path - - -def write_task_meta(task_dir: str | Path, meta: dict[str, Any]) -> Path: - """Write ``/meta.json`` next to the artifacts.""" - d = Path(task_dir) - d.mkdir(parents=True, exist_ok=True) - path = d / "meta.json" - from .record_paths import portable_value - path.write_text(json.dumps(portable_value(meta, d), indent=2, ensure_ascii=False, default=str), - encoding="utf-8") - return path - - -def write_results_summary(results: list[dict], task_kind: str, - run_id: str = DEFAULT_RUN_ID) -> list[Path]: - """ - Group ``run()`` results by ``game_id`` and write one summary per game, - refresh ``run_meta.json`` and the ``latest`` symlink. - - Returns the summary paths written. - """ - check_kind(task_kind) - grouped: dict[str, list[dict]] = {} - for r in results: - grouped.setdefault(r.get("game_id") or UNASSIGNED_GAME, []).append(r) - - written = [] - for game_id, items in grouped.items(): - path = results_summary_path(game_id, task_kind, run_id) - path.parent.mkdir(parents=True, exist_ok=True) - path.write_text(json.dumps(items, indent=2, ensure_ascii=False, default=str), - encoding="utf-8") - write_run_meta(game_id, run_id, task_kind=task_kind, - extra={"num_tasks": len(items)}) - update_latest_link(game_id, run_id) - written.append(path) - return written - - -# ── Misc ────────────────────────────────────────────────────────────────────── - -def resolve_input_path(path_like: str | Path) -> Path: - """Resolve a possibly repo-relative input path (jsonl paths are repo-relative).""" - if str(path_like).replace("\\", "/").startswith("bench/"): - from .record_paths import resolve_path - return resolve_path(path_like) - p = Path(path_like) - if p.is_absolute() or p.exists(): - return p - return REPO_ROOT / p - - -def rel_to_repo(path: str | Path) -> str: - """Repo-relative string if possible, else the absolute path — for logs / meta.""" - p = Path(path).resolve() - try: - return str(p.relative_to(REPO_ROOT)) - except ValueError: - return str(p) diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/pipeline/common/record_paths.py b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/pipeline/common/record_paths.py deleted file mode 100644 index 21084bcfe232636debebeb9d1b9df5da1e2909da..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/GameFactory-3A/pipeline/common/record_paths.py +++ /dev/null @@ -1,77 +0,0 @@ -"""Portable workspace paths for persisted records; resolve only when doing I/O.""" -from __future__ import annotations - -from pathlib import Path -import re - -BENCH = Path(__file__).resolve().parents[3] -_PREFIXES = ("test_data/", "GameFactory-3A/", "scripts/", "prompts/", "config/", "reports/") -_ROOT = BENCH.as_posix() -_INLINE_ROOT = re.compile(re.escape(_ROOT).replace("/", r"[\\/]"), re.IGNORECASE) - - -def resolve_path(value: str | Path) -> Path: - text = str(value).replace("\\", "/") - if text == "bench" or text.startswith("bench/"): - path = (BENCH.parent / text).resolve() - path.relative_to(BENCH.resolve()) - return path - path = Path(value) - return path if path.is_absolute() else BENCH / path - - -def portable_path(value: str | Path, base: Path | None = None) -> str: - original = str(value) - text = original.replace("\\", "/") - if re.match(r"^[A-Za-z][A-Za-z0-9+.-]*:", text) and not re.match(r"^[A-Za-z]:/", text): - return original # URLs, API URIs and dependency descriptors retain their meaning. - if text.casefold() == _ROOT.casefold() or text.casefold().startswith(_ROOT.casefold() + "/"): - return "bench" + text[len(_ROOT):] - if text == "bench" or text.startswith("bench/"): - path = resolve_path(text) - suffix = path.relative_to(BENCH.resolve()).as_posix() - return "bench" if suffix == "." else "bench/" + suffix - if text.startswith(_PREFIXES): - path = (BENCH / text).resolve() - path.relative_to(BENCH.resolve()) - return "bench/" + path.relative_to(BENCH.resolve()).as_posix() - if base is not None and "/" in text and "\n" not in text and not text.startswith("/"): - candidate = base / text - try: - if candidate.exists(): - return "bench/" + candidate.resolve().relative_to(BENCH.resolve()).as_posix() - except (OSError, ValueError): - pass - return original - - -def portable_text(value: str) -> str: - """Convert workspace paths embedded in log/error text, leaving URLs intact.""" - pattern = re.compile(r"(?:https?://[^\s<>]+)|(" + _INLINE_ROOT.pattern + r"(?:[\\/][^\r\n\"'<>|;,)]*)?)", re.IGNORECASE) - return pattern.sub(lambda match: portable_path(match.group(1)) if match.group(1) else match.group(0), value) - - -def portable_value(value, base: Path | None = None): - if isinstance(value, dict): - return {portable_path(key) if isinstance(key, str) else key: portable_value(item, base) - for key, item in value.items()} - if isinstance(value, (list, tuple)): - return [portable_value(item, base) for item in value] - if isinstance(value, Path): - return portable_path(value, base) - if isinstance(value, str): - result = portable_path(value, base) - return portable_text(result) - return value - - -def runtime_value(value): - """Hydrate a verified frozen plan for runtime use; never use before hashing.""" - if isinstance(value, dict): - return {str(resolve_path(key)) if isinstance(key, str) and (key == "bench" or key.startswith("bench/")) else key: - runtime_value(item) for key, item in value.items()} - if isinstance(value, list): - return [runtime_value(item) for item in value] - if isinstance(value, str) and (value == "bench" or value.startswith("bench/")): - return str(resolve_path(value)) - return value diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/prompts/stage2_assets.md b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/prompts/stage2_assets.md deleted file mode 100644 index bd5f2cb297be9a913eaf0cb8aae96779b20cbcd9..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/prompts/stage2_assets.md +++ /dev/null @@ -1,95 +0,0 @@ -# GameFactory-3A Stage 2 — asset generation - -你正在执行同一个游戏测例的第二阶段资产生成。**开始前必须先阅读 `{SETTING_OVERVIEW}`，并严格遵循其中的 asset refinement、asset QA 和 validation 流程。** - -## 测例输入 - -- 游戏测例：`{GAME_ID}` -- 测例目录：`{CASE_ROOT}` -- GameFactory-3A 根目录：`{FRAMEWORK_ROOT}` -- 总入口文档：`{SETTING_OVERVIEW}` -- 目标引擎：`{ENGINE}` -- 完整游戏需求：`{GENERAL_REQUIREMENT}` -- 当前 run 根目录：`{RUN_ROOT}` -- runner 控制面（冻结索引、prompt/packet/log）：`{GENERATION_CONTROL_ROOT}` -- 第一阶段白模 run：`{WHITEBOX_RUN_ROOT}` -- 第一阶段白模 workspace：`{WHITEBOX_WORKSPACE}` -- 第一阶段资产接口：`{ASSET_SLOTS}` -- 第一阶段计划/TODO：`{GENERATION_PLAN}` -- 外部冻结的资产任务索引：`{ASSET_TASK_INDEX}` -- 资产输出根目录：`{ASSET_OUTPUT_ROOT}` -- 当前阶段 pipeline task 目录：`{STAGE_WORKSPACE}` -- 资产 QA 证据根：`{RUN_ROOT}/eval///` - -请读取游戏完整梗概和玩法，再读取 `{ASSET_TASK_INDEX}` 中列出的**每一条**资产任务、对应的 requirement、JSONL 和参考图片。**每一个资产生成任务都必须使用完整游戏梗概作为上下文**，不能只把孤立的资产 prompt 交给生成流程。 - -## 本阶段任务 - -1. 根据第一阶段的任务拆解、TODO 和 `asset_slots.json` 确认资产用途、生命周期、比例、朝向、挂点和风格； -2. 按 `setting_overview.md` 路由到对应的 T-pose、3D object、3D scene、Motion、Audio、CG video 或其他资产 Skill； -3. 逐项生成冻结任务索引中的所有资产，并执行对应的结构/视觉 QA； -4. 保持第一阶段定义的 asset ID 和游戏/UI/mechanic contract 不变； -5. 记录资产来源、配置、参考图、QA 和后续导入要求； -6. 生成完整的资产 manifest，供第三阶段导入使用。 - -## 限制 - -- 不修改第一阶段核心游戏机制和需求； -- 不擅自删除、合并或跳过资产任务； -- 资产失败必须记录为失败，不能伪造成功； -- 不将资产生成 QA 当成游戏已经完成； -- 本阶段默认不执行 Agent repair。 - -## 输出位置和 Layer 规则 - -资产必须按框架标准布局写入： - -- `{ASSET_OUTPUT_ROOT}/tpose//`； -- `{ASSET_OUTPUT_ROOT}/3d_object//`； -- `{ASSET_OUTPUT_ROOT}/3d_scene//`； -- `{ASSET_OUTPUT_ROOT}/motion//`； -- `{ASSET_OUTPUT_ROOT}/audio//`； -- `{ASSET_OUTPUT_ROOT}/cg_video//`。 - -每个任务目录至少应有资产文件、`meta.json`、预览（若适用）和 QA 证据。资产 manifest 和阶段产物说明写入 `{ASSET_MANIFEST}`（位于标准 `pipeline//` task 目录）；冻结索引只读自 `{ASSET_TASK_INDEX}`，runner 控制文件写入 `{GENERATION_CONTROL_ROOT}`。每个资产任务的 QA 证据写入 `{RUN_ROOT}/eval///`。至少生成： - -- `asset_manifest.json`； -- `asset_generation_report.json`； -- `asset_task_index.json`（由外部入口生成，不得删改任务）； -- 失败任务及其失败原因。 - -不要写入 case 输入目录、不要覆盖白模 run，也不要创建 `pipeline/assets/` stage 目录；真实资产必须按 `assets///` 放置，不能把所有文件平铺在 pipeline task 目录。 - -## 已确认的优先 3D Object 双服务对比 - -当用户明确选择优先 200 条对象任务的 Meshy / Tripo API 对比时，使用 -`scripts/asset/generate_3d_comparison.py` 与 `config/asset_3d_comparison.json`， -具体命令和费用见 `scripts/asset/README_3d_comparison.md`。这是跨游戏的对象生成实验； -各游戏只包含 3D Object 子集，不能将其标为六类资产齐全的完整 Stage 2。 - -- 输入以 `test_data/priority_gen/3d_object_priority_lowpoly_collect.jsonl` 的全部 200 条为准， - 保留原 task ID、prompt、seed、参考图及最高 8000 三角面的既定政策。 -- 完整游戏需求保留在冻结输入包；两家文生调用使用完全相同的短梗概和原资产 prompt， - 合计不超过 800 字符。API 未接收完整正文这一事实必须记录，不能宣称正文已送入模型。 -- 两家图生均使用同一冻结参考图，列入 `reference_only` 辅助组；不要为了补文字上下文 - 悄悄改图、另画参考图、改变原任务的输入模式或仅给一家添加贴图提示词。 -- 每家分别运行全部 200 条。按人物/刚体、文生/图生及上下文条件分组；Hunyuan3D Pro - 仅保留后续接入口，本轮不启用、不消耗第三家额度。 -- 固定具体模型版本，不使用 `latest`；Meshy 本轮使用 standard + remesh， - 不依赖将于 2026-10-30 退役的 `model_type=lowpoly`。 -- 原始 API mesh 写为 `model.glb`，统一后处理的导入 mesh 写为 `import/model.glb`。 - 两家使用同一固定工具、参数与贴图上限；分别记录原始和后处理 QA、耗时及缺陷。 - 减面未达到预算应如实记录失败，不增加生成次数、不换模型补齐或挑选 best-of。 -- 付费调用前需要用户确认预算并在环境中配置密钥。提交后立刻落盘任务 ID； - 已知远端任务只续查结果，提交结果不确定时停下核对，不自动重发付费任务。 -- 本轮按游戏级共享资产目录落盘，在任务目录下加厂商一级： - `test_data/outputs//assets/3d_object///`， - `` 为 `meshy` / `tripo`，不使用 `asset_comparison` 输出目录。 - 原始 `model.glb`、`import/model.glb`、`meta.json`、服务端预览均放在厂商目录内； - QA 写入 `test_data/outputs//eval/3d_object///`。 - manifest/阶段报告按游戏、批次、厂商放在 - `test_data/outputs//pipeline/_pipeline///`， - 冻结输入、计费回执与跨游戏预览保存在 `test_data/outputs/_asset_batches//`。 - 不覆盖不同批次已有的厂商资产，也不覆盖白模工程。 - 结构检查通过不等于视觉 QA 通过；C、Q1/Q2/Q3 的正式评分缺少证据时保持 UNKNOWN。 - 第三阶段的资产来源需要另行固定，不能按逐条最高评分混选两家产物。 diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/scripts/asset/cloud_journal.py b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/scripts/asset/cloud_journal.py deleted file mode 100644 index d2d6fbd911b70a3dec2b7e42bcde3d3703347ec9..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/scripts/asset/cloud_journal.py +++ /dev/null @@ -1,178 +0,0 @@ -"""Durable submit receipts for the comparison runner; no automatic POST retry. - -Uses the framework's HTTP plumbing. A lost create response is ambiguous: retain -the credit reservation and require reconciliation instead of buying a new task. -The runner holds one batch lock while using this client. -""" -from __future__ import annotations - -import json -import math -import os -from pathlib import Path -from typing import Any - -from models.common import cloud_api -from pipeline.common.record_paths import portable_value, portable_text - - -def read_json(path: Path, default=None): - return json.loads(path.read_text(encoding="utf-8")) if path.is_file() else default - - -def write_json(path: Path, value: Any, *, portable: bool = True) -> None: - path.parent.mkdir(parents=True, exist_ok=True) - temporary = path.with_name(path.name + ".tmp") - with temporary.open("w", encoding="utf-8", newline="\n") as stream: - json.dump(portable_value(value, path.parent) if portable else value, - stream, ensure_ascii=False, indent=2) - stream.write("\n") - stream.flush() - os.fsync(stream.fileno()) - os.replace(temporary, path) - - -def safe_error(exc: Exception) -> str: - value = str(exc) - for name in ("MESHY_API_KEY", "TRIPO_API_KEY"): - secret = os.environ.get(name) - if secret: - value = value.replace(secret, "[REDACTED]") - return portable_text(value)[:1600] - - -class BudgetExceeded(RuntimeError): - pass - - -class AmbiguousSubmission(RuntimeError): - pass - - -def reserved_credits(directory: Path) -> int: - return sum( - int(item["reserved_credits"]) - for path in directory.glob("*.json") - for item in read_json(path, {}).get("submissions", {}).values() - if item["status"] != "rejected" - ) - - -class JournalClient: - """Replay successful create receipts and query the same remote task on resume.""" - - def __init__(self, base: str, key: str, journal: Path, cap: int, - prices: dict[str, int], provider: str, transport=None, resume_refused=False): - self.journal = journal - self.cap = cap - self.prices = prices - self.provider = provider - self.resume_refused = resume_refused - # GET is safe to retry. A billed POST gets exactly one transport attempt. - self.reader = transport or cloud_api.CloudAPIClient(base, key, max_retries=3) - self.writer = transport or cloud_api.CloudAPIClient(base, key, max_retries=0) - self.public = None - - def _cost(self, endpoint: str, body: dict) -> int: - if endpoint == "/files": - return 0 - if self.provider == "meshy": - if endpoint == "/openapi/v2/text-to-3d": - return self.prices["text_refine" if body.get("mode") == "refine" else "text_preview"] - if endpoint == "/openapi/v1/image-to-3d": - return self.prices["image"] - elif endpoint in ("/generation/text-to-model", "/generation/image-to-model"): - return self.prices["text" if "text-to" in endpoint else "image"] - raise ValueError(f"Unpriced POST endpoint: {endpoint}") - - def request(self, method: str, endpoint: str, **kwargs): - state = read_json(self.journal, {"submissions": {}, "results": {}}) - if method != "POST": - result = self.reader.request(method, endpoint, **kwargs) - if method == "GET" and isinstance(result, dict): - state["results"][endpoint] = result - payload = result.get("data", result) - if isinstance(payload, dict): - remote_id = payload.get("task_id") or payload.get("id") - reported = payload.get("credits_consumed", payload.get("credits")) - for record in state["submissions"].values(): - if remote_id and record.get("remote_id") == remote_id and isinstance(reported, (int, float)): - record["reported_credits"] = reported - record["reserved_credits"] = max(record["reserved_credits"], math.ceil(reported)) - write_json(self.journal, state) - return result - - # Hash binary inputs; never persist image bytes or credentials in receipts. - descriptor = {"endpoint": endpoint, "body": kwargs.get("json_body"), - "files": {name: cloud_api.bytes_hash(value[1]) - for name, value in (kwargs.get("files") or {}).items()}} - fingerprint = cloud_api.request_hash(descriptor) - previous = state["submissions"].get(fingerprint) - if previous: - if previous["status"] == "created": - return previous["response"] - if previous["status"] == "rejected" and not (self.resume_refused and previous.get("resource_refusal")): - raise cloud_api.CloudAPIRequestError(previous["error"]) - if previous["status"] != "rejected": - raise AmbiguousSubmission( - f"Unconfirmed submission {fingerprint} in {self.journal}. " - "Reconcile its remote task ID; no automatic resubmission.") - - cost = self._cost(endpoint, kwargs.get("json_body") or {}) - used = reserved_credits(self.journal.parent) - if used + cost > self.cap: - raise BudgetExceeded(f"{self.provider}: {used} reserved + {cost} exceeds cap {self.cap}") - record = {"endpoint": endpoint, "reserved_credits": cost, "status": "submitting"} - if previous: - record["rejection_history"] = [*previous.get("rejection_history", []), - {k: v for k, v in previous.items() if k != "rejection_history"}] - state["submissions"][fingerprint] = record - write_json(self.journal, state) # commit before the request can incur a charge - try: - response = self.writer.request(method, endpoint, **kwargs) - except cloud_api.CloudAPIError as exc: - # These are explicit refusals. 5xx/timeouts may have created a task. - if exc.status in (400, 401, 402, 403, 404, 405, 413, 415, 422, 429): - record.update(status="rejected", error=safe_error(exc), resource_refusal=isinstance( - exc, (cloud_api.CloudAPIAuthError, cloud_api.CloudAPIQuotaError, cloud_api.CloudAPIRateLimitError))) - else: - record.update(status="uncertain", error=safe_error(exc)) - write_json(self.journal, state) - if record["status"] == "uncertain": - raise AmbiguousSubmission(f"Unconfirmed POST {fingerprint}; {safe_error(exc)}") from exc - raise - - rejected = isinstance(response, dict) and response.get("code") not in (None, 0) - envelope = response.get("data", response) if isinstance(response, dict) else {} - remote_id = (envelope.get("task_id") or envelope.get("id") or envelope.get("result") - or envelope.get("file_token") or envelope.get("token")) if isinstance(envelope, dict) else None - if rejected: - rejection = cloud_api.classify_http_error(400, response) - record.update(status="rejected", error=safe_error(rejection), resource_refusal=isinstance( - rejection, (cloud_api.CloudAPIAuthError, cloud_api.CloudAPIQuotaError))) - elif not remote_id: - record.update(status="uncertain", error="Response contained no remote task/file ID") - else: - record.update(status="created", remote_id=remote_id, response=response) - write_json(self.journal, state) - if rejected: - raise rejection - if record["status"] == "uncertain": - raise AmbiguousSubmission(f"Unconfirmed POST {fingerprint}: missing task/file ID") - return response - - def download(self, url: str, **kwargs) -> bytes: - # Signed CDN downloads must not receive the provider's Authorization key. - if not url.startswith("https://"): - raise ValueError("Artifact download must use HTTPS") - if self.public is None: - self.public = cloud_api.CloudAPIClient("", "", max_retries=3) - self.public.session.headers.pop("Authorization", None) - return self.public.download(url, **kwargs) - - def close(self): - self.reader.close() - if self.writer is not self.reader: - self.writer.close() - if self.public is not None: - self.public.close() diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/scripts/asset/generate_3d_comparison.py b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/scripts/asset/generate_3d_comparison.py deleted file mode 100644 index 37fd64a94489f8fea40f24af84e5237413a00fc1..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/scripts/asset/generate_3d_comparison.py +++ /dev/null @@ -1,603 +0,0 @@ -#!/usr/bin/env python3 -"""Prepare, run and resume the frozen Meshy/Tripo 200-object comparison. - -Prepare/status are offline. Run requires explicit spending caps and API keys. -Native generation outputs remain unmodified. A shared postprocessor produces -separate import meshes; visual acceptance is a separate review. -""" -from __future__ import annotations - -import argparse -from collections import Counter, defaultdict -from contextlib import contextmanager -from datetime import datetime, timezone -import hashlib -import io -import json -import math -import os -from pathlib import Path -import re -import shutil -import struct -import subprocess -import sys - -BENCH = Path(__file__).resolve().parents[2] -FRAMEWORK = BENCH / "GameFactory-3A" -sys.path.insert(0, str(FRAMEWORK)) -from pipeline.common import paths -from pipeline.common.record_paths import portable_value, resolve_path, runtime_value -from models.common import cloud_api -from models.common.glb_utils import glb_json_chunk, glb_summary -from cloud_journal import (AmbiguousSubmission, BudgetExceeded, JournalClient, - read_json, reserved_credits, safe_error, write_json) - -DEFAULT_CONFIG = BENCH / "config/asset_3d_comparison.json" -IDENTIFIER = re.compile(r"^[A-Za-z0-9][A-Za-z0-9_-]{0,160}$") -RUNTIME_FILES = [Path(__file__), Path(__file__).with_name("cloud_journal.py"), - FRAMEWORK / "pipeline/common/record_paths.py", - FRAMEWORK / "pipeline/common/paths.py", - BENCH / "prompts/stage2_assets.md", - FRAMEWORK / "operators/gen_3d_object/operator.py", - FRAMEWORK / "models/gen_3d_object/meshy_model.py", - FRAMEWORK / "models/gen_3d_object/tripo_model.py", - FRAMEWORK / "models/common/cloud_api.py", - FRAMEWORK / "models/common/glb_utils.py", - Path(__file__).with_name("mesh_tools") / "process_mesh.mjs", - Path(__file__).with_name("mesh_tools") / "package-lock.json"] -MESH_TOOL = Path(__file__).with_name("mesh_tools") / "process_mesh.mjs" - - -def now(): - return datetime.now(timezone.utc).isoformat(timespec="seconds") - - -def digest(path: Path): - return hashlib.sha256(path.read_bytes()).hexdigest() - - -def checked_id(value: str): - if not IDENTIFIER.fullmatch(value): - raise ValueError(f"Invalid path identifier: {value!r}") - return value - - -def bench_path(value: str): - result = resolve_path(value).resolve() - result.relative_to(BENCH.resolve()) - return result - - -def batch_directory(config: dict, batch_id: str): - return bench_path(config["output_root"]) / "_asset_batches" / checked_id(batch_id) - - -@contextmanager -def exclusive_batch(directory: Path): - """OS lock releases on process exit, including an interrupted run.""" - directory.mkdir(parents=True, exist_ok=True) - with (directory / "batch.lock").open("a+b") as stream: - stream.seek(0, 2) - if stream.tell() == 0: - stream.write(b"0") - stream.flush() - stream.seek(0) - if os.name == "nt": - import msvcrt - msvcrt.locking(stream.fileno(), msvcrt.LK_NBLCK, 1) - else: - import fcntl - fcntl.flock(stream, fcntl.LOCK_EX | fcntl.LOCK_NB) - try: - yield - finally: - stream.seek(0) - if os.name == "nt": - msvcrt.locking(stream.fileno(), msvcrt.LK_UNLCK, 1) - else: - fcntl.flock(stream, fcntl.LOCK_UN) - - -def game_directory(plan: dict, game: str): - return Path(plan["output_root"]) / checked_id(game) - - -def pipeline_directory(plan: dict, provider: str, game: str): - return (game_directory(plan, game) / "pipeline" / (game + "_pipeline") - / checked_id(plan["batch_id"]) / checked_id(provider)) - - -def generation_index(plan: dict, provider: str, game: str): - return (game_directory(plan, game) / ".generation/3d_object" / checked_id(provider) - / checked_id(plan["batch_id"]) / "asset_task_index.json") - - -def short_context(text: str, limit: int): - """Declared deterministic excerpts, not a claim that the model read the brief.""" - title = re.search(r"^title:\s*(.+)$", text, re.M) - lines = [line.strip() for line in text.splitlines() if line.strip()] - title_text = title.group(1) if title else next((s.lstrip("# ") for s in lines if s.startswith("#")), "") - world = next((line for line in lines if re.match(r"-\s*W01\b", line)), "") - loop = next((line for line in lines if any(word in line for word in ("核心循环：", "核心循环:", "核心玩法：", "核心玩法:"))), "") - if not loop: - loop = next((line for line in lines if re.match(r"-\s*S01\b", line)), "") - if not loop: - heading = re.search(r"^##[^\n]*(?:核心循环|一句话定位)[^\n]*\n([^#]+)", text, re.M) - loop = heading.group(1) if heading else "" - pieces = [re.sub(r"\s+", " ", value).strip()[:size] - for value, size in ((title_text, 70), (world, 110), (loop, 110)) if value] - value = " | ".join(pieces) - if not value: - raise ValueError("Cannot extract game context; provide a reviewed short context") - return value[:limit] - - -def frozen_copy(source: Path, destination: Path): - if destination.exists() and digest(destination) != digest(source): - raise ValueError(f"Frozen input changed; use a new batch ID: {destination}") - destination.parent.mkdir(parents=True, exist_ok=True) - if not destination.exists(): - shutil.copyfile(source, destination) - return {"path": str(destination.resolve()), "sha256": digest(destination), - "source": str(source.resolve())} - - -def node_process(arguments: list[str], timeout: int): - node = shutil.which("node") - if not node: - raise ValueError("Node.js is required for the fixed mesh pipeline") - environment = os.environ.copy() - for key in ("MESHY_API_KEY", "TRIPO_API_KEY"): - environment.pop(key, None) - if os.name == "nt": - # Conda's DLLs can shadow sharp's libvips dependencies in child processes. - environment["PATH"] = str(Path(node).parent) + os.pathsep + str(Path(os.environ["SystemRoot"]) / "System32") - return subprocess.run([node, str(MESH_TOOL), *arguments], capture_output=True, - text=True, encoding="utf-8", timeout=timeout, env=environment) - - -def mesh_runtime(): - result = node_process(["--check"], timeout=60) - if result.returncode: - raise ValueError("Mesh postprocessor unavailable; run npm ci in scripts/asset/mesh_tools. " + result.stderr[-500:]) - return json.loads(result.stdout) - - -def subject_group(task: dict): - role = task.get("role", "") - return "character" if task.get("rig", "none") != "none" or role in ( - "character", "player", "event_figure", "npc", "creature", "unit_special") or role.startswith("enemy") else "rigid" - - -def prepare(config: dict, batch_id: str): - if config["input_policy"] != "shared_short_context_and_reference_only" or not config["input_policy_confirmed"]: - raise ValueError("The input protocol must be confirmed before preparing this comparison") - directory = batch_directory(config, batch_id) - plan_file = directory / "plan.json" - if plan_file.exists(): - raise ValueError(f"Batch is already frozen: {plan_file}. Use status/run or a new batch ID.") - source = bench_path(config["tasks"]) - tasks = [json.loads(line) for line in source.read_text(encoding="utf-8-sig").splitlines() if line.strip()] - if len(tasks) != config["expected_tasks"]: - raise ValueError(f"Expected {config['expected_tasks']} tasks; got {len(tasks)}") - for task in tasks: - for provider in config["providers"]: - output = (bench_path(config["output_root"]) / checked_id(task["game_id"]) - / "assets/3d_object" / checked_id(task["task_id"]) / checked_id(provider)) - if output.is_dir() and any(p.name != ".gitkeep" for p in output.iterdir()): - raise ValueError(f"Provider directory already contains assets; resume its batch: {output}") - seen = set() - frozen_tasks = [] - documents = {} - tool_runtime = mesh_runtime() - for task in tasks: - game = checked_id(task["game_id"]) - task_id = checked_id(task["task_id"]) - identity = (game, task_id) - if identity in seen: - raise ValueError(f"Duplicate task: {identity}") - seen.add(identity) - case = BENCH / "test_data/test_samples" / game - if game not in documents: - requirement = case / "general_requirement.txt" - full_text = requirement.read_text(encoding="utf-8") - doc_root = directory / "inputs" / game - documents[game] = { - "general_requirement": frozen_copy(requirement, doc_root / "general_requirement.txt"), - "object_requirement": frozen_copy(case / "3D_object/requirement.txt", doc_root / "object_requirement.txt"), - "context_excerpt": short_context(full_text, config["context_excerpt_max_chars"]), - "context_method": "deterministic title/world/core-loop excerpts; full brief retained locally", - } - mode = task["input_mode"] - prompt = None - reference = None - if mode == "text_to_3d": - # Never shorten the asset prompt. Both providers receive this exact string. - prompt = f"Game context (excerpt): {documents[game]['context_excerpt']}\nAsset: {task['prompt']}" - if len(prompt) > config["shared_prompt_max_chars"]: - raise ValueError(f"Shared prompt exceeds limit: {task_id} ({len(prompt)} chars)") - elif mode == "image_to_3d": - source_image = bench_path(task["image_path"]) - reference = frozen_copy(source_image, directory / "references" / (digest(source_image) + source_image.suffix.lower())) - else: - raise ValueError(f"Unsupported input mode: {mode}") - if not 500 <= task["decimation_target"] <= 8000: - raise ValueError(f"Unexpected triangle target: {task_id}") - frozen_tasks.append({"task": task, "shared_prompt": prompt, "reference": reference, - "subject_group": subject_group(task), - "context_condition": "shared_short_context" if prompt else "reference_only"}) - output_root = bench_path(config["output_root"]) - plan = {"schema_version": "asset_3d_comparison_plan_v1", "batch_id": batch_id, - "created_at": now(), "scope": "3d_object_only_not_complete_stage2", - "config": config, "output_root": str(output_root), "directory": str(directory), - "source": frozen_copy(source, directory / "inputs/source_tasks.jsonl"), - "method_reference": frozen_copy(bench_path(config["method_reference"]), directory / "inputs/method_selection.md"), - "documents": documents, "tasks": frozen_tasks, - "runtime_sources": {str(p.resolve()): digest(p) for p in RUNTIME_FILES}, - "estimated_credits": {}, "recommended_credit_caps": {}, - "qa_policy": "basic structural checks + pending visual review; no automatic acceptance", - "texture_policy": "preserve native output; same deterministic downsize for both import meshes", - "postprocess": config["postprocess"], "mesh_runtime": tool_runtime, - "deferred_providers": {"hunyuan3d_pro": {"status": "not_enabled", "adapter_contract": - "infer_and_save(image, output_path, seed, decimation_target, texture_size, *, prompt); requires pinned cloud version and input capability check"}}} - for provider, settings in config["providers"].items(): - prices = settings["credits"] - estimate = sum((prices["text_preview"] + prices["text_refine"] if provider == "meshy" else prices["text"]) - if item["shared_prompt"] else prices["image"] for item in frozen_tasks) - plan["estimated_credits"][provider] = estimate - plan["recommended_credit_caps"][provider] = (estimate * 11 + 9) // 10 - plan["plan_sha256"] = cloud_api.request_hash(portable_value(plan)) - write_json(plan_file, plan) - write_json(directory / "asset_task_index.json", {"plan_sha256": plan["plan_sha256"], - "task_count": len(frozen_tasks), "tasks": frozen_tasks}) - for provider in config["providers"]: - for game in documents: - write_json(generation_index(plan, provider, game), { - "plan_sha256": plan["plan_sha256"], "game_id": game, "provider": provider, - "scope": plan["scope"], "tasks": [item for item in frozen_tasks if item["task"]["game_id"] == game]}) - refresh_reports(plan) - return plan - - -def load_plan(config: dict, batch_id: str): - plan = read_json(batch_directory(config, batch_id) / "plan.json") - if not plan: - raise ValueError("Prepare this batch first") - claimed = plan["plan_sha256"] - if cloud_api.request_hash({k: v for k, v in plan.items() if k != "plan_sha256"}) != claimed: - raise ValueError("Frozen plan was modified") - return runtime_value(plan) - - -def validate_inputs(plan: dict): - if mesh_runtime() != plan["mesh_runtime"]: - raise ValueError("Mesh runtime differs from the frozen version") - for filename, expected in plan["runtime_sources"].items(): - if digest(Path(filename)) != expected: - raise ValueError(f"Runtime changed after freeze: {filename}; prepare a new batch") - files = [plan["source"], plan["method_reference"]] - files.extend(doc[field] for doc in plan["documents"].values() - for field in ("general_requirement", "object_requirement")) - files.extend(item["reference"] for item in plan["tasks"] if item["reference"]) - for entry in files: - if digest(Path(entry["path"])) != entry["sha256"]: - raise ValueError(f"Frozen input changed: {entry['path']}") - - -def basic_qa(filename: Path, task: dict): - data = filename.read_bytes() - summary = glb_summary(data) - checks = {"parseable_glb": "error" not in summary} - if checks["parseable_glb"]: - doc = glb_json_chunk(data) - checks["glb_v2_exact_length"] = struct.unpack_from(" 0 - checks["textures_present"] = summary["textures"] > 0 and summary["images"] > 0 - primitives = [p for m in doc.get("meshes", []) for p in m.get("primitives", [])] - checks["uv_present"] = bool(primitives) and all("TEXCOORD_0" in p.get("attributes", {}) for p in primitives) - checks["self_contained"] = all("uri" not in b or b["uri"].startswith("data:") for b in doc.get("buffers", [])) and all( - "bufferView" in image or str(image.get("uri", "")).startswith("data:") for image in doc.get("images", [])) - return {"status": "PASS" if all(checks.values()) else "FAIL", "checks": checks, - "summary": summary, "triangle_target": task["decimation_target"], - "requested_texture_size": task.get("texture_size"), - "texture_budget_verified": False, "visual_status": "PENDING", - "limitations": ["No visual, orientation, scale, rigging or engine acceptance yet", - "Native texture resolution retained; task texture_size is not enforced", - "Basic checks do not validate every accessor, topology defect or PBR channel"]} - - -def process_import_mesh(source: Path, task: dict): - destination = source.parent / "import/model.glb" - result = node_process([str(source), str(destination), str(task["decimation_target"]), - str(task["texture_size"])], timeout=300) - if result.returncode: - raise RuntimeError("Postprocessing failed: " + result.stderr[-1200:]) - report = json.loads(result.stdout) - return destination, report - - -def task_directories(plan: dict, provider: str, task: dict): - root = game_directory(plan, task["game_id"]) - task_id, provider = checked_id(task["task_id"]), checked_id(provider) - output = root / "assets/3d_object" / task_id / provider - evaluation = root / "eval/3d_object" / task_id / provider - return output, evaluation - - -def refresh_reports(plan: dict): - summary = {"batch_id": plan["batch_id"], "plan_sha256": plan["plan_sha256"], - "updated_at": now(), "expected_assets": len(plan["tasks"]) * len(plan["config"]["providers"]), - "estimated_credits": plan["estimated_credits"], "providers": {}} - for provider in plan["config"]["providers"]: - by_game = defaultdict(list) - for item in plan["tasks"]: - task = item["task"] - output, evaluation = task_directories(plan, provider, task) - meta = read_json(output / "meta.json", {}) - by_game[task["game_id"]].append({"task_id": task["task_id"], "asset_name": task["asset_name"], - "task_kind": "3d_object", "status": meta.get("status", "prepared"), - "artifact": str(output / "import/model.glb"), "native_artifact": str(output / "model.glb"), - "meta": str(output / "meta.json"), "native_structural_qa": meta.get("native_structural_qa"), - "import_structural_qa": meta.get("import_structural_qa"), - "native_delivered": meta.get("native_delivered", False), - "import_delivered": meta.get("import_delivered", False), - "qa": str(evaluation / "qa.json"), "visual_status": "PENDING", - "context_condition": item["context_condition"], "subject_group": item["subject_group"], - "input_mode": task["input_mode"], "error": meta.get("error")}) - all_entries = [entry for entries in by_game.values() for entry in entries] - summary["providers"][provider] = {"task_count": len(all_entries), - "status_counts": dict(Counter(entry["status"] for entry in all_entries)), - "reserved_credits": reserved_credits(Path(plan["directory"]) / "submissions" / provider), - "visual_accepted": 0, "method_group": plan["config"]["method_group"], - "benchmark_metrics": {name: {"status": "UNKNOWN", "value": None} - for name in ("C", "Q1", "Q2", "Q3")}, - "subgroups": {key: dict(Counter(e[key] for e in all_entries)) - for key in ("subject_group", "input_mode", "context_condition")}, - "game_macro_delivery": sum(sum(e["status"] == "delivered" for e in entries) / len(entries) - for entries in by_game.values()) / len(by_game), - "game_macro_native_delivery": sum(sum(e["native_delivered"] for e in entries) / len(entries) - for entries in by_game.values()) / len(by_game), - "native_structural_pass": sum(e["native_structural_qa"] == "PASS" for e in all_entries), - "import_structural_pass": sum(e["import_structural_qa"] == "PASS" for e in all_entries), - "delivery_metric_status": "NOT_RUN" if all(e["status"] == "prepared" for e in all_entries) else "PARTIAL"} - for game, entries in by_game.items(): - pipeline = pipeline_directory(plan, provider, game) - manifest = {"game_id": game, "provider": provider, "batch_id": plan["batch_id"], - "plan_sha256": plan["plan_sha256"], "scope": plan["scope"], "assets": entries, - "full_context": plan["documents"][game], "status": "pending_visual_review"} - write_json(pipeline / "asset_manifest.json", manifest) - write_json(pipeline / "asset_generation_report.json", { - "task_count": len(entries), "status_counts": dict(Counter(e["status"] for e in entries)), - "failures": [e for e in entries if e["error"]], "visual_accepted": 0}) - paths.write_task_meta(pipeline, {"game_id": game, "task_id": game + "_pipeline", - "task_kind": "pipeline", "run_id": plan["batch_id"], "status": "comparison_only", - "provider": provider, "scope": plan["scope"]}) - write_json(Path(plan["directory"]) / "asset_generation_report.json", summary) - return summary - - -def make_model(plan: dict, provider: str, task: dict, cap: int): - from models.gen_3d_object.meshy_model import MeshyModel - from models.gen_3d_object.tripo_model import TripoModel - settings = plan["config"]["providers"][provider] - cls = MeshyModel if provider == "meshy" else TripoModel - control = Path(plan["directory"]) - model = cls(model_path=settings["model"], device="cpu", api_base=settings["api_base"], - cache_dir=str(control / "cache" / task["game_id"] / task["task_id"]), - timeout=1800, poll_interval=5, **settings["options"]) - key = cloud_api.require_api_key(None, provider.upper() + "_API_KEY", "See the comparison README") - journal = control / "submissions" / provider / (task["game_id"] + "__" + task["task_id"] + ".json") - model._client = JournalClient(settings["api_base"], key, journal, cap, settings["credits"], provider, - resume_refused=True) - return model - - -def download_preview(model, output: Path): - from PIL import Image - url = model.last_call_info.get("preview_url") - if not url: - return {"status": "unavailable"} - try: - data = model.client.download(url) - with Image.open(io.BytesIO(data)) as preview: - preview.verify() - extension = {"PNG": ".png", "JPEG": ".jpg", "WEBP": ".webp"}.get(preview.format) - if not extension: - return {"status": "unsupported_image_format"} - path = output / ("preview" + extension) - path.write_bytes(data) - return {"status": "downloaded", "path": str(path), "visual_review": "PENDING"} - except Exception as exc: - return {"status": "failed", "error": safe_error(exc)} - - -def run(plan: dict, args): - from operators.gen_3d_object.operator import Gen3DObjectOperator - - class SharedStoreOperator(Gen3DObjectOperator): - def _resolve_out_path(self, inp, task_id): - output, _ = task_directories(plan, provider, inp) - output.mkdir(parents=True, exist_ok=True) - return inp["game_id"], output, output / "model.glb" - - if not args.allow_paid: - raise ValueError("Paid generation requires --allow-paid and explicit provider credit caps") - validate_inputs(plan) - selected = list(dict.fromkeys(args.provider or list(plan["config"]["providers"]))) - caps = {p: getattr(args, p + "_credit_cap") for p in selected} - for provider in selected: - if not caps[provider] or caps[provider] < reserved_credits(Path(plan["directory"]) / "submissions" / provider): - raise ValueError(f"Supply a positive --{provider}-credit-cap covering existing reservations") - cloud_api.require_api_key(None, provider.upper() + "_API_KEY", "See scripts/asset/README_3d_comparison.md") - selection = set(args.task_id or []) - known = {item["task"]["task_id"] for item in plan["tasks"]} - if selection - known: - raise ValueError(f"Unknown task IDs: {sorted(selection - known)}") - jobs = [item for item in plan["tasks"] if not selection or item["task"]["task_id"] in selection] - if args.limit is not None: - if args.limit < 1: - raise ValueError("--limit must be positive") - jobs = jobs[:args.limit] - write_json(Path(plan["directory"]) / "spending_authorization.json", { - "plan_sha256": plan["plan_sha256"], "credit_caps": caps, "recorded_at": now(), - "selected_task_ids": [item["task"]["task_id"] for item in jobs], - "note": "Caps reserve estimated credits; account-side limits remain authoritative"}) - interrupted = False - for provider in selected: - failures = 0 - for item in jobs: - task = item["task"] - output, evaluation = task_directories(plan, provider, task) - previous = read_json(output / "meta.json", {}) - if previous and previous.get("plan_sha256") != plan["plan_sha256"]: - raise ValueError(f"Another batch owns this provider directory; do not overwrite: {output}") - if not previous and output.is_dir() and any(p.name != ".gitkeep" for p in output.iterdir()): - raise ValueError(f"Untracked provider artifacts must not be overwritten: {output}") - if previous.get("status") == "delivered" and (output / "model.glb").is_file(): - imported = output / "import/model.glb" - if previous.get("artifact_sha256") == digest(output / "model.glb") and imported.is_file() and previous.get("import_sha256") == digest(imported): - continue - if previous.get("status") == "failed": - continue # one generation attempt, no cherry-picking on rerun - output.mkdir(parents=True, exist_ok=True) - meta = {"game_id": task["game_id"], "task_id": task["task_id"], "asset_name": task["asset_name"], - "task_kind": "3d_object", "run_id": plan["batch_id"], "provider": provider, - "plan_sha256": plan["plan_sha256"], "context_condition": item["context_condition"], - "full_context": plan["documents"][task["game_id"]], "source_task": task, - "shared_prompt": item["shared_prompt"], "reference": item["reference"], - "status": "running", "updated_at": now(), "visual_status": "PENDING"} - write_json(output / "meta.json", meta) - model = None - stop = False - try: - model = make_model(plan, provider, task, caps[provider]) - # Preserve native output for a fair comparison. No automatic mesh cleanup/import. - inp = {**task, "strip_ground_plate": False} - inp.pop("asset_id", None) - if item["reference"]: - inp["image_path"] = item["reference"]["path"] - else: - inp["prompt"] = item["shared_prompt"] - result = SharedStoreOperator(model, run_id=plan["batch_id"]).run(inp) - raw_qa = basic_qa(Path(result["glb_path"]), task) - meta.update(native_delivered=raw_qa["checks"]["parseable_glb"], result=result, - native_structural_qa=raw_qa["status"], model_call=model.last_call_info, - artifact_sha256=digest(output / "model.glb")) - write_json(evaluation / "qa.json", {"native": raw_qa, "import": {"status": "PENDING"}, - "visual_status": "PENDING"}) - imported, postprocess = process_import_mesh(Path(result["glb_path"]), task) - import_qa = basic_qa(imported, task) - import_qa["texture_budget_verified"] = all(max(t["after"]) <= task["texture_size"] for t in postprocess["textures"]) - import_qa["checks"]["texture_budget"] = import_qa["texture_budget_verified"] - import_qa["status"] = "PASS" if all(import_qa["checks"].values()) else "FAIL" - write_json(evaluation / "qa.json", {"native": raw_qa, "import": import_qa, - "postprocess": postprocess, "visual_status": "PENDING"}) - meta.update(status="delivered", result=result, model_call=model.last_call_info, - import_delivered=import_qa["checks"]["parseable_glb"], - artifact_sha256=digest(output / "model.glb"), import_sha256=digest(imported), - native_structural_qa=raw_qa["status"], import_structural_qa=import_qa["status"], - postprocess=postprocess, - preview=download_preview(model, output)) - failures = 0 - except Exception as exc: - status = "failed" - if isinstance(exc, cloud_api.CloudTaskTimeout): - status = "remote_pending" - elif isinstance(exc, AmbiguousSubmission): - status, stop = "submission_uncertain", True - elif isinstance(exc, (BudgetExceeded, cloud_api.CloudAPIAuthError, cloud_api.CloudAPIQuotaError)): - status, stop = "blocked", True - elif isinstance(exc, cloud_api.CloudAPIServerError): - status = "resume_required" # known receipts survive poll/download failures - elif not isinstance(exc, (cloud_api.CloudTaskFailed, cloud_api.CloudAPIRequestError, ValueError)): - status = "resume_required" # retain a downloaded asset after local/tool failures - meta.update(status=status, error=safe_error(exc), error_type=type(exc).__name__) - failures += 1 - stop = stop or failures >= 3 - finally: - if model is not None: - model.unload() - meta["updated_at"] = now() - journal = read_json(Path(plan["directory"]) / "submissions" / provider / - (task["game_id"] + "__" + task["task_id"] + ".json"), {}) - meta["generation_cost"] = [{"endpoint": record["endpoint"], "remote_id": record.get("remote_id"), - "reservation": record["reserved_credits"], "reported_credits": record.get("reported_credits"), - "status": record["status"]} for record in journal.get("submissions", {}).values()] - write_json(output / "meta.json", meta) - refresh_reports(plan) - print(json.dumps({"provider": provider, "task_id": task["task_id"], "status": meta["status"], - "error": meta.get("error")}, ensure_ascii=False), flush=True) - if stop: - interrupted = True - break - if interrupted: - break - incomplete = any(read_json(task_directories(plan, p, item["task"])[0] / "meta.json", {}).get("status") != "delivered" - for p in selected for item in jobs) - return 2 if interrupted or incomplete else 0 - - -def recover(plan: dict, args): - """Attach an inspected remote ID to an ambiguous receipt; never submit here.""" - checked_id(args.remote_task_id) - matches = [item["task"] for item in plan["tasks"] if item["task"]["task_id"] == args.task_id] - if len(matches) != 1: - raise ValueError("Recover requires exactly one known task") - task = matches[0] - journal = Path(plan["directory"]) / "submissions" / args.provider / (task["game_id"] + "__" + task["task_id"] + ".json") - state = read_json(journal, {}) - record = state.get("submissions", {}).get(args.request_hash) - if not record or record["status"] not in ("submitting", "uncertain") or record["endpoint"] == "/files": - raise ValueError("Receipt is not an ambiguous generation submission") - record.update(status="created", remote_id=args.remote_task_id, reconciled_at=now(), - response={"result": args.remote_task_id} if args.provider == "meshy" else - {"code": 0, "data": {"task_id": args.remote_task_id}}) - write_json(journal, state) - return {"recovered_task_id": args.remote_task_id, "network_requests": 0} - - -def main(argv=None): - parser = argparse.ArgumentParser(description=__doc__) - parser.add_argument("--config", type=Path, default=DEFAULT_CONFIG) - sub = parser.add_subparsers(dest="command", required=True) - for name in ("prepare", "status", "run", "recover"): - command = sub.add_parser(name) - command.add_argument("--batch-id", required=True) - if name == "run": - command.add_argument("--allow-paid", action="store_true") - command.add_argument("--meshy-credit-cap", type=int) - command.add_argument("--tripo-credit-cap", type=int) - command.add_argument("--provider", action="append", choices=("meshy", "tripo")) - command.add_argument("--task-id", action="append") - command.add_argument("--limit", type=int, help="Limit tasks per selected provider; full inventory is retained") - elif name == "recover": - command.add_argument("--provider", required=True, choices=("meshy", "tripo")) - command.add_argument("--task-id", required=True) - command.add_argument("--request-hash", required=True) - command.add_argument("--remote-task-id", required=True) - args = parser.parse_args(argv) - config = read_json(args.config) - with exclusive_batch(batch_directory(config, args.batch_id)): - if args.command == "prepare": - plan = prepare(config, args.batch_id) - print(json.dumps(portable_value({"plan": str(Path(plan["directory"]) / "plan.json"), - "tasks_per_provider": len(plan["tasks"]), "estimated_credits": plan["estimated_credits"], - "recommended_credit_caps": plan["recommended_credit_caps"]}), indent=2)) - else: - plan = load_plan(config, args.batch_id) - if args.command == "run": - return run(plan, args) - value = recover(plan, args) if args.command == "recover" else refresh_reports(plan) - print(json.dumps(portable_value(value), indent=2, ensure_ascii=False)) - return 0 - - -if __name__ == "__main__": - try: - raise SystemExit(main()) - except (ValueError, OSError, cloud_api.CloudAPIError) as exc: - print(safe_error(exc), file=sys.stderr) - raise SystemExit(2) diff --git a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/scripts/asset/mesh_tools/package-lock.json b/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/scripts/asset/mesh_tools/package-lock.json deleted file mode 100644 index 070ddb648ed455c400b216bf2bc6e6ac1df75912..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/runtime/bench/scripts/asset/mesh_tools/package-lock.json +++ /dev/null @@ -1,763 +0,0 @@ -{ - "name": "bench-asset-comparison-mesh-tools", - "version": "1.0.0", - "lockfileVersion": 3, - "requires": true, - 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-const settings = JSON.parse(readFileSync(new URL('./package.json', import.meta.url))); -await Promise.all([MeshoptDecoder.ready, MeshoptSimplifier.ready]); -const runtime = {node: process.versions.node, dependencies: settings.dependencies}; -if (process.argv[2] === '--check') { - console.log(JSON.stringify({status: 'ready', ...runtime})); -} else { - const [source, destination, triangleArg, textureArg] = process.argv.slice(2); - const triangleTarget = Number(triangleArg), textureTarget = Number(textureArg); - if (!source || !destination || !Number.isInteger(triangleTarget) || triangleTarget <= 0 - || !Number.isInteger(textureTarget) || textureTarget <= 0) { - throw new Error('Expected: source.glb destination.glb triangle_target texture_size'); - } - const started = performance.now(); - const io = new NodeIO().registerExtensions(ALL_EXTENSIONS).registerDependencies({ - 'draco3d.decoder': await draco.createDecoderModule(), - 'meshopt.decoder': MeshoptDecoder, - }); - const document = await io.read(source); - document.setLogger(new Logger(Logger.Verbosity.SILENT)); - // The decoded import GLB is not dependent on the provider's mesh codec. - for (const extension of document.getRoot().listExtensionsUsed()) { - if (['KHR_draco_mesh_compression', 'EXT_meshopt_compression'].includes(extension.extensionName)) { - extension.dispose(); - } - } - function triangleCount() { - let count = 0; - for (const mesh of document.getRoot().listMeshes()) { - for (const primitive of mesh.listPrimitives()) { - if (primitive.getMode() !== 4) throw new Error('Only triangle primitives are supported'); - const n = (primitive.getIndices() || primitive.getAttribute('POSITION')).getCount(); - count += n / 3; - } - } - return count; - } - const before = triangleCount(); - if (before > triangleTarget) { - await document.transform(weld(), simplify({simplifier: MeshoptSimplifier, - ratio: triangleTarget / before, error: 0.01, lockBorder: false})); - } - const textures = []; - for (const texture of document.getRoot().listTextures()) { - const image = texture.getImage(); - if (!image) throw new Error('Texture has no decoded image'); - const input = Buffer.from(image); - const info = await sharp(input).metadata(); - let sizeAfter = [info.width, info.height]; - if (Math.max(...sizeAfter) > textureTarget) { - const {data, info: resized} = await sharp(input).resize({width: textureTarget, height: textureTarget, - fit: 'inside', withoutEnlargement: true, kernel: 'lanczos3'}).png({compressionLevel: 9}).toBuffer({resolveWithObject: true}); - texture.setImage(new Uint8Array(data)).setMimeType('image/png').setURI(''); - sizeAfter = [resized.width, resized.height]; - } - textures.push({name: texture.getName(), before: [info.width, info.height], after: sizeAfter}); - } - const after = triangleCount(); - mkdirSync(dirname(destination), {recursive: true}); - await io.write(destination, document); - console.log(JSON.stringify({status: after <= triangleTarget ? 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stylized, game-ready, PBR textures, low-poly style, minimal triangle count, flat faceted surfaces, clean silhouette, no fine surface detail", - "seed": 1563, - "decimation_target": 6000, - "texture_size": 2048, - "rig": "none", - "animation_strategy": "procedural", - "spec_ref": "L01", - "poly_policy": "low_poly_priority" - }, - "shared_prompt": "Game context (excerpt): 漂浮花园的迷你高尔夫 | - W01 世界与时代背景：架空云海时代的「浮屿花园」——园艺师们在漂浮于云海的花屿上经营三洞试炼球场，庆祝春分的推杆大会今夜开杆。 | - S01 类型：3D 俯视迷你高尔夫（单人杆数制）。本测例包含的能力：三洞冻结球场、蓄力击球物理、坡面反弹摩擦、瞄准线与轨迹残影反馈、界外复位与罚杆、双镜头模式、开场/结算视频。\nAsset: Miniature golf hole cup with a slender striped pennant flag and a subtle glow rim, clean stylized, game-ready, PBR textures, low-poly style, minimal triangle count, flat faceted surfaces, clean silhouette, no fine surface detail", - "reference": null, - "subject_group": "rigid", - "context_condition": "shared_short_context" - } - ] -} diff --git a/outputs/G056_garden_minigolf/assets/3d_object/.gitattributes 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"three": "180", - "animation_clips": 0 - }, - "status": "rendered" -} \ No newline at end of file diff --git a/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_003/tripo/qa.json b/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_003/tripo/qa.json deleted file mode 100644 index ab5c7ab977e4e7c80ddceff4bbc39bc102280640..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_003/tripo/qa.json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "native": { - "status": "FAIL", - "checks": { - "parseable_glb": true, - "glb_v2_exact_length": true, - "positive_triangle_count": true, - "triangle_budget": false, - "materials_present": true, - "textures_present": true, - "uv_present": true, - "self_contained": true - }, - "summary": { - "bytes": 3290024, - "triangles": 8757, - "meshes": 1, - "materials": 1, - "textures": 3, - "images": 3, - "nodes": 1, - "generator": "https://tripo3d.ai" - }, - 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[ - "No visual, orientation, scale, rigging or engine acceptance yet", - "Native texture resolution retained; task texture_size is not enforced", - "Basic checks do not validate every accessor, topology defect or PBR channel" - ] - }, - "postprocess": { - "status": "PASS", - "triangles_before": 8757, - "triangles_after": 6000, - "triangle_target": 6000, - "texture_target": 2048, - "textures": [ - { - "name": "Color_ee4bb38a-96e3-49ef-bf95-f53907b9eb7d", - "before": [ - 2048, - 2048 - ], - "after": [ - 2048, - 2048 - ] - }, - { - "name": "ORM_ee4bb38a-96e3-49ef-bf95-f53907b9eb7d", - "before": [ - 2048, - 2048 - ], - "after": [ - 2048, - 2048 - ] - }, - { - "name": "NormalGL_ee4bb38a-96e3-49ef-bf95-f53907b9eb7d", - "before": [ - 2048, - 2048 - ], - "after": [ - 2048, - 2048 - ] - } - ], - "runtime": { - "node": "20.17.0", - "dependencies": { - "@gltf-transform/core": "4.2.1", - "@gltf-transform/extensions": "4.2.1", - "@gltf-transform/functions": "4.2.1", - "draco3dgltf": "1.5.7", - "meshoptimizer": "0.24.0", - "sharp": "0.35.5" - } - }, - "policy": "weld; one simplify pass at error 0.01 when over budget; downsize textures only; preserve UV/material/node data", - "elapsed_sec": 0.06, - "visual_review": "PENDING" - }, - "visual_status": "PENDING" -} diff --git a/outputs/G056_garden_minigolf/eval/3d_object/obj200_meshy_tripo_20261015_v2/catalog/catalog.json b/outputs/G056_garden_minigolf/eval/3d_object/obj200_meshy_tripo_20261015_v2/catalog/catalog.json deleted file mode 100644 index b043fa67d43289ea6772b310f2aed5d8ae2295b4..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/eval/3d_object/obj200_meshy_tripo_20261015_v2/catalog/catalog.json +++ /dev/null @@ -1,74 +0,0 @@ -{ - "game_id": "G056_garden_minigolf", - "batch_id": "obj200_meshy_tripo_20261015_v2", - "created_at": "2026-10-16T11:11:08+00:00", - "plan_sha256": "5c287b8399f00fbb0dddf94c9e3f5ffcbcc2e679ff76882bc8fc369d6eae840d", - "visual_acceptance": "PENDING", - "pages": [ - { - 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b/outputs/G056_garden_minigolf/eval/3d_object/obj200_meshy_tripo_20261015_v2/catalog/page_01.jpg deleted file mode 100644 index c3b11ccb2c3f7b5e9cfdfda2ae466cc50ba68262..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/eval/3d_object/obj200_meshy_tripo_20261015_v2/catalog/page_01.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7701fbb76c2221376580b413c637197e81c6fdd9e363a2c15483016047a2a8f4 -size 81722 diff --git a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/delivery_index.json b/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/delivery_index.json deleted file mode 100644 index d7e17cf5b0957a4b12d7ad9dde6522e854d4280e..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/delivery_index.json +++ /dev/null @@ -1,118 +0,0 @@ -{ - "game_id": "G056_garden_minigolf", - "batch_id": "obj200_meshy_tripo_20261015_v2", - "plan_sha256": "5c287b8399f00fbb0dddf94c9e3f5ffcbcc2e679ff76882bc8fc369d6eae840d", - "scope": "3d_object_only_not_complete_stage2", - "providers": { - "meshy": { - "delivered": 2 - }, - "tripo": { - "delivered": 2 - } - }, - "frozen_game_inputs": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/frozen_game_inputs.json", - "sources_index": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/sources_index.json", - "integrity_record": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/localization_integrity.json", - "assets": [ - { - "provider": "meshy", - "task_id": "G056_garden_minigolf_obj_002", - "status": "delivered", - "native_artifact": 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"cache_metadata": [ - "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/cache_metadata/meshy/a9c50fec028f431c0cb3baaa57086dd6f2629f9b19231b21922911b020cdcf81.meta.json" - ], - "visual_status": "PENDING", - "native_structural_qa": "FAIL", - "import_structural_qa": "PASS" - }, - { - "provider": "meshy", - "task_id": "G056_garden_minigolf_obj_003", - "status": "delivered", - "native_artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_003/meshy/model.glb", - "import_artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_003/meshy/import/model.glb", - "meta": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_003/meshy/meta.json", - "qa": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_003/meshy/qa.json", - "receipt": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/receipts/meshy/G056_garden_minigolf__G056_garden_minigolf_obj_003.json", - "previews": { - "native": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_003/meshy/previews/native/contact_sheet.jpg", - "import": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_003/meshy/previews/import/contact_sheet.jpg" - }, - "cache_metadata": [ - "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/cache_metadata/meshy/4f38a3b30795eb5c2475728dca01f6c45aaa416c7ea92960ee65ee41de36f370.meta.json" - ], - "visual_status": "PENDING", - "native_structural_qa": "FAIL", - "import_structural_qa": "PASS" - }, - { - "provider": "tripo", - "task_id": "G056_garden_minigolf_obj_002", - "status": "delivered", - "native_artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_002/tripo/model.glb", - "import_artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_002/tripo/import/model.glb", - "meta": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_002/tripo/meta.json", - "qa": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_002/tripo/qa.json", - "receipt": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/receipts/tripo/G056_garden_minigolf__G056_garden_minigolf_obj_002.json", - "previews": { - "native": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_002/tripo/previews/native/contact_sheet.jpg", - "import": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_002/tripo/previews/import/contact_sheet.jpg" - }, - "cache_metadata": [ - "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/cache_metadata/tripo/ceb7c219273517bbaaf3f4cd5a7b977fbacda70d501eb556f1bc4082d6fa45e0.meta.json" - ], - "visual_status": "PENDING", - "native_structural_qa": "FAIL", - "import_structural_qa": "PASS" - }, - { - "provider": "tripo", - "task_id": "G056_garden_minigolf_obj_003", - "status": "delivered", - "native_artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_003/tripo/model.glb", - "import_artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_003/tripo/import/model.glb", - "meta": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_003/tripo/meta.json", - "qa": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_003/tripo/qa.json", - "receipt": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/receipts/tripo/G056_garden_minigolf__G056_garden_minigolf_obj_003.json", - "previews": { - "native": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_003/tripo/previews/native/contact_sheet.jpg", - "import": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_003/tripo/previews/import/contact_sheet.jpg" - }, - "cache_metadata": [ - "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/cache_metadata/tripo/487d9ba2c01a353054d87670c3475e02da455521f6a567ee1428cd3ae6bc5ccd.meta.json" - ], - "visual_status": "PENDING", - "native_structural_qa": "FAIL", - "import_structural_qa": "PASS" - } - ], - "preview_catalog": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/obj200_meshy_tripo_20261015_v2/catalog/catalog.json", - "billing_this_game_only": { - "meshy": { - "reserved_credits": 60, - "reported_credits": 60, - "billable_remote_stages": 4, - "stages_without_reported_cost": 0, - "rejected_generation_requests": 0 - }, - "tripo": { - "reserved_credits": 60, - "reported_credits": 60.0, - "billable_remote_stages": 2, - "stages_without_reported_cost": 0, - "rejected_generation_requests": 0 - } - }, - "visual_status": "PENDING", - "stage3_provider_selection": "UNFIXED" -} diff --git a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/delivery_records.zip b/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/delivery_records.zip deleted file mode 100644 index 22e15a889ee7161b16e9f4d4258dc965fffca447..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/delivery_records.zip +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:362533722e96dd48710b904f4fd0d4d1318b1094162c92526922cde6db5a1612 -size 4469747 diff --git a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/meshy/asset_generation_report.json b/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/meshy/asset_generation_report.json deleted file mode 100644 index 66b938b0d7684684096f00d437576f1971cc4fa7..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/meshy/asset_generation_report.json +++ /dev/null @@ -1,8 +0,0 @@ -{ - "task_count": 2, - "status_counts": { - "delivered": 2 - }, - "failures": [], - "visual_accepted": 0 -} diff --git a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/meshy/asset_manifest.json b/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/meshy/asset_manifest.json deleted file mode 100644 index 6be744b4df862d2630ccc4938f4d476ef2dbf930..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/meshy/asset_manifest.json +++ /dev/null @@ -1,62 +0,0 @@ -{ - "game_id": "G056_garden_minigolf", - "provider": "meshy", - "batch_id": "obj200_meshy_tripo_20261015_v2", - "plan_sha256": "5c287b8399f00fbb0dddf94c9e3f5ffcbcc2e679ff76882bc8fc369d6eae840d", - "scope": "3d_object_only_not_complete_stage2", - "assets": [ - { - "task_id": "G056_garden_minigolf_obj_002", - "asset_name": "golf_ball", - "task_kind": "3d_object", - "status": "delivered", - "artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_002/meshy/import/model.glb", - "native_artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_002/meshy/model.glb", - "meta": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_002/meshy/meta.json", - "native_structural_qa": "FAIL", - "import_structural_qa": "PASS", - "native_delivered": true, - "import_delivered": true, - "qa": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_002/meshy/qa.json", - "visual_status": "PENDING", - "context_condition": "shared_short_context", - "subject_group": "rigid", - "input_mode": "text_to_3d", - "error": null - }, - { - "task_id": "G056_garden_minigolf_obj_003", - "asset_name": "hole_flag", - "task_kind": "3d_object", - "status": "delivered", - "artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_003/meshy/import/model.glb", - "native_artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_003/meshy/model.glb", - "meta": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_003/meshy/meta.json", - "native_structural_qa": "FAIL", - "import_structural_qa": "PASS", - "native_delivered": true, - "import_delivered": true, - "qa": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_003/meshy/qa.json", - "visual_status": "PENDING", - "context_condition": "shared_short_context", - "subject_group": "rigid", - "input_mode": "text_to_3d", - "error": null - } - ], - "full_context": { - "general_requirement": { - "path": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/general_requirement.txt", - "sha256": "0f0bfafd73cbfed0d3216f4a2c5a8031b9ad81621ae6abfa2eaf6b8d656e4051", - "source": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/general_requirement.txt" - }, - "object_requirement": { - "path": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/object_requirement.txt", - "sha256": "2f0f65f7b7349df66d1724a8d96d19577c23ae9555326dedfbf353dac4550aa0", - "source": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/object_requirement.txt" - }, - "context_excerpt": "漂浮花园的迷你高尔夫 | - W01 世界与时代背景：架空云海时代的「浮屿花园」——园艺师们在漂浮于云海的花屿上经营三洞试炼球场，庆祝春分的推杆大会今夜开杆。 | - S01 类型：3D 俯视迷你高尔夫（单人杆数制）。本测例包含的能力：三洞冻结球场、蓄力击球物理、坡面反弹摩擦、瞄准线与轨迹残影反馈、界外复位与罚杆、双镜头模式、开场/结算视频。", - "context_method": "deterministic title/world/core-loop excerpts; full brief retained locally" - }, - "status": "pending_visual_review" -} diff --git a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/meshy/meta.json b/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/meshy/meta.json deleted file mode 100644 index 63bb060c4e724e97bfda739a46a5653310a7281a..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/meshy/meta.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "game_id": "G056_garden_minigolf", - "task_id": "G056_garden_minigolf_pipeline", - "task_kind": "pipeline", - "run_id": "obj200_meshy_tripo_20261015_v2", - "status": "comparison_only", - "provider": "meshy", - "scope": "3d_object_only_not_complete_stage2" -} \ No newline at end of file diff --git a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/tripo/asset_generation_report.json b/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/tripo/asset_generation_report.json deleted file mode 100644 index 66b938b0d7684684096f00d437576f1971cc4fa7..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/tripo/asset_generation_report.json +++ /dev/null @@ -1,8 +0,0 @@ -{ - "task_count": 2, - "status_counts": { - "delivered": 2 - }, - "failures": [], - "visual_accepted": 0 -} diff --git a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/tripo/asset_manifest.json b/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/tripo/asset_manifest.json deleted file mode 100644 index b1daa94807358729833553810b5e150bcfa5e880..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/tripo/asset_manifest.json +++ /dev/null @@ -1,62 +0,0 @@ -{ - "game_id": "G056_garden_minigolf", - "provider": "tripo", - "batch_id": "obj200_meshy_tripo_20261015_v2", - "plan_sha256": "5c287b8399f00fbb0dddf94c9e3f5ffcbcc2e679ff76882bc8fc369d6eae840d", - "scope": "3d_object_only_not_complete_stage2", - "assets": [ - { - "task_id": "G056_garden_minigolf_obj_002", - "asset_name": "golf_ball", - "task_kind": "3d_object", - "status": "delivered", - "artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_002/tripo/import/model.glb", - "native_artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_002/tripo/model.glb", - "meta": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_002/tripo/meta.json", - "native_structural_qa": "FAIL", - "import_structural_qa": "PASS", - "native_delivered": true, - "import_delivered": true, - "qa": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_002/tripo/qa.json", - "visual_status": "PENDING", - "context_condition": "shared_short_context", - "subject_group": "rigid", - "input_mode": "text_to_3d", - "error": null - }, - { - "task_id": "G056_garden_minigolf_obj_003", - "asset_name": "hole_flag", - "task_kind": "3d_object", - "status": "delivered", - "artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_003/tripo/import/model.glb", - "native_artifact": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_003/tripo/model.glb", - "meta": "bench/test_data/outputs/G056_garden_minigolf/assets/3d_object/G056_garden_minigolf_obj_003/tripo/meta.json", - "native_structural_qa": "FAIL", - "import_structural_qa": "PASS", - "native_delivered": true, - "import_delivered": true, - "qa": "bench/test_data/outputs/G056_garden_minigolf/eval/3d_object/G056_garden_minigolf_obj_003/tripo/qa.json", - "visual_status": "PENDING", - "context_condition": "shared_short_context", - "subject_group": "rigid", - "input_mode": "text_to_3d", - "error": null - } - ], - "full_context": { - "general_requirement": { - "path": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/general_requirement.txt", - "sha256": "0f0bfafd73cbfed0d3216f4a2c5a8031b9ad81621ae6abfa2eaf6b8d656e4051", - "source": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/general_requirement.txt" - }, - "object_requirement": { - "path": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/object_requirement.txt", - "sha256": "2f0f65f7b7349df66d1724a8d96d19577c23ae9555326dedfbf353dac4550aa0", - "source": "bench/test_data/outputs/G056_garden_minigolf/.generation/3d_object/obj200_meshy_tripo_20261015_v2/delivery/inputs/object_requirement.txt" - }, - "context_excerpt": "漂浮花园的迷你高尔夫 | - W01 世界与时代背景：架空云海时代的「浮屿花园」——园艺师们在漂浮于云海的花屿上经营三洞试炼球场，庆祝春分的推杆大会今夜开杆。 | - S01 类型：3D 俯视迷你高尔夫（单人杆数制）。本测例包含的能力：三洞冻结球场、蓄力击球物理、坡面反弹摩擦、瞄准线与轨迹残影反馈、界外复位与罚杆、双镜头模式、开场/结算视频。", - "context_method": "deterministic title/world/core-loop excerpts; full brief retained locally" - }, - "status": "pending_visual_review" -} diff --git a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/tripo/meta.json b/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/tripo/meta.json deleted file mode 100644 index f705d29f1f010661ef775d92406297b4e70f2f02..0000000000000000000000000000000000000000 --- a/outputs/G056_garden_minigolf/pipeline/G056_garden_minigolf_pipeline/obj200_meshy_tripo_20261015_v2/tripo/meta.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "game_id": "G056_garden_minigolf", - "task_id": "G056_garden_minigolf_pipeline", - "task_kind": "pipeline", - "run_id": "obj200_meshy_tripo_20261015_v2", - "status": "comparison_only", - "provider": "tripo", - "scope": "3d_object_only_not_complete_stage2" -} \ No newline at end of file