Switch to VectorEngine gpt-image-2 and edits
Replace uses of the legacy `gpt-image-2-all` model with `gpt-image-2` and standardize image workflows: no-reference generation uses POST /v1/images/generations, any-reference flows use POST /v1/images/edits with multipart `image` parts. Update SKILLs, generation scripts, decision logs, and docs to reflect the contract change and edits-vs-generations guidance. Apply corresponding changes across backend (api-server match3d/puzzle modules, openai image adapter, mappers, telemetry, spacetime client/module), frontend components and services (Match3D, Puzzle, CreativeImageInputPanel, runtime shells), and add new spritesheet/parser files and tests. Also add media/logo.png. These changes align repository code and documentation with the VectorEngine image API contract and update generation/upload handling (green-screen -> alpha processing, spritesheet handling, and related tests).
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@@ -419,12 +419,12 @@ pub fn resolve_match3d_item_type_count_for_difficulty(clear_count: u32, difficul
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8 => 3,
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12 => 9,
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16 => 15,
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20 | 21 => 21,
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20 | 21 => 20,
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_ => match difficulty {
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0..=2 => 3,
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3..=4 => 9,
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5..=6 => 15,
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_ => 21,
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_ => 20,
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},
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};
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@@ -432,8 +432,8 @@ pub fn resolve_match3d_item_type_count_for_difficulty(clear_count: u32, difficul
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}
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pub fn normalize_match3d_runtime_clear_count(clear_count: u32, difficulty: u32) -> u32 {
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// 中文注释:旧硬核草稿曾保存 clear_count=20;新硬核固定 21 种物品,
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// 运行态也升到 21 组三消,避免出现 20 组却要求 21 种素材的不可达状态。
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// 中文注释:旧硬核草稿曾保存 clear_count=20;运行态保留硬核 21 组三消节奏,
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// 但本局物品类型池仍由难度映射到最多 20 种,避免超过 10*10 Sprite 解析素材上限。
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if clear_count == 20 && difficulty >= 7 {
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21
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} else {
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@@ -885,7 +885,7 @@ mod tests {
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}
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#[test]
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fn legacy_hardcore_clear_count_runs_as_twenty_one_groups() {
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fn legacy_hardcore_clear_count_runs_with_twenty_item_types() {
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let run = start_run_with_seed_at(
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"run-types-legacy-hardcore".to_string(),
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"user-1".to_string(),
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@@ -903,8 +903,8 @@ mod tests {
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assert_eq!(run.clear_count, 21);
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assert_eq!(run.total_item_count, 63);
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assert_eq!(counts.len(), 21);
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assert!(counts.values().all(|count| *count == 3));
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assert_eq!(counts.len(), 20);
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assert_eq!(counts.values().sum::<u32>(), 63);
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}
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#[test]
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@@ -931,8 +931,8 @@ mod tests {
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}
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#[test]
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fn size_tier_plan_follows_ratio_for_twenty_five_types() {
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let plan = resolve_size_tier_plan(25);
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fn size_tier_plan_follows_ratio_for_twenty_types() {
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let plan = resolve_size_tier_plan(20);
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let mut counts = BTreeMap::<&str, usize>::new();
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for rule in plan {
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*counts.entry(rule.tier).or_default() += 1;
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@@ -946,10 +946,10 @@ mod tests {
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}
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}
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assert_eq!(counts.get("XL"), Some(&5));
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assert_eq!(counts.get("L"), Some(&8));
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assert_eq!(counts.get("M"), Some(&7));
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assert_eq!(counts.get("XS"), Some(&4));
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assert_eq!(counts.get("XL"), Some(&4));
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assert_eq!(counts.get("L"), Some(&6));
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assert_eq!(counts.get("M"), Some(&6));
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assert_eq!(counts.get("XS"), Some(&3));
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assert_eq!(counts.get("S"), Some(&1));
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}
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@@ -962,7 +962,7 @@ mod tests {
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&test_config(30),
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42,
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1_000,
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Some(25),
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Some(20),
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)
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.expect("run should start");
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@@ -974,7 +974,7 @@ mod tests {
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.push((item.radius * 10_000.0).round() as u32);
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}
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assert_eq!(radii_by_visual_key.len(), 25);
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assert_eq!(radii_by_visual_key.len(), 20);
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assert!(
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radii_by_visual_key
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.values()
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@@ -1052,7 +1052,7 @@ mod tests {
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.filter(|item| {
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let dx = item.x - MATCH3D_BOARD_CENTER;
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let dy = item.y - MATCH3D_BOARD_CENTER;
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(dx * dx + dy * dy).sqrt() > 0.32
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(dx * dx + dy * dy).sqrt() > 0.26
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})
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.count();
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let mut quadrants = BTreeMap::<String, u32>::new();
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@@ -1081,15 +1081,15 @@ mod tests {
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}
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#[test]
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fn twenty_five_or_less_does_not_repeat_visual_keys() {
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fn twenty_or_less_does_not_repeat_visual_keys() {
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let run = start_run_with_seed_at_and_item_type_count(
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"run-block-unique".to_string(),
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"user-1".to_string(),
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"profile-1".to_string(),
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&test_config(25),
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&test_config(20),
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27,
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1_000,
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Some(25),
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Some(20),
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)
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.expect("run should start");
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@@ -1098,7 +1098,7 @@ mod tests {
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*counts.entry(item.visual_key.clone()).or_default() += 1;
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}
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assert_eq!(counts.len(), 25);
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assert_eq!(counts.len(), 20);
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assert!(counts.values().all(|count| *count == 3));
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}
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