Scaffold a new puzzle type across all 10+ pipeline integration points in jigsawR. Creates the core puzzle module, wires it into the unified pipeline (generation, positioning, rendering, adjacency), adds ggpuzzle geom/stat layers, updates DESCRIPTION and config.yml, extends the Shiny app, and creates a comprehensive test suite. Use when adding a completely new puzzle type to the package or following the 10-point integration checklist to ensure nothing is missed end-to-end.
Scanned 9/3/2026
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---
name: add-puzzle-type
locale: wenyan
source_locale: en
source_commit: 82c77053
fence_basis_commit: 82c77053
translator: "Julius Brussee homage — caveman"
translation_date: "2026-04-19"
description: >
Scaffold a new puzzle type across all 10+ pipeline integration points
in jigsawR. Creates the core puzzle module, wires it into the unified
pipeline (generation, positioning, rendering, adjacency), adds ggpuzzle
geom/stat layers, updates DESCRIPTION and config.yml, extends the Shiny
app, and creates a comprehensive test suite. Use when adding a completely
new puzzle type to the package or following the 10-point integration
checklist to ensure nothing is missed end-to-end.
license: MIT
allowed-tools: Read Write Edit Bash Grep Glob
metadata:
author: Philipp Thoss
version: "1.0"
domain: jigsawr
complexity: advanced
language: R
tags: jigsawr, puzzle-type, pipeline, integration, scaffold
---
# 增謎類
於 jigsawR 全管道諸接點建新謎類之架。
## 用時
- 包中增全新之謎類乃用
- 遵既立之整合檢單(CLAUDE.md 十點管道)乃用
- 新類首尾接線無遺乃用
## 入
- **必要**:新類之名(小寫,如 `"triangular"`)
- **必要**:幾何之述(片之形與排)
- **必要**:類需外包乎(入 Suggests)
- **可選**:標參(grid, size, seed, tabsize, offset)外之參
- **可選**:參照實現或算法源
## 法
### 第一步:建核心謎模
建 `R/<type>_puzzle.R`,含內部生成函:
```r
#' Generate <type> puzzle pieces (internal)
#' @noRd
generate_<type>_pieces_internal <- function(params, seed) {
# 1. Initialize RNG state
# 2. Generate piece geometries
# 3. Build edge paths (SVG path data)
# 4. Compute adjacency
# 5. Return list: pieces, edges, adjacency, metadata
}
```
循 `R/voronoi_puzzle.R` 或 `R/snic_puzzle.R` 之結構。
**得:** 函返一列,含 `$pieces`、`$edges`、`$adjacency`、`$metadata`。
**敗則:** 以 `generate_voronoi_pieces_internal()` 之返式對之,識缺列或誤型。
### 第二步:接 jigsawR_clean.R
編 `R/jigsawR_clean.R`:
1. 添 `"<type>"` 於 `valid_types` 量
2. 於參段添類特參提取
3. 添類特約束之驗
4. 添檔前綴(如 `"<type>"` → `"<type>_"`)
```r
# In valid_types
valid_types <- c("rectangular", "hexagonal", "concentric", "voronoi", "snic", "<type>")
```
**得:** `generate_puzzle(type = "<type>")` 受而無「未知類」之訛。
**敗則:** 驗類名入 `valid_types` 拼寫無誤,參提取涵所需之類特參。
### 第三步:接 unified_piece_generation.R
編 `R/unified_piece_generation.R`:
1. 於 `generate_pieces_internal()` 添分派例
2. 類支 PILES 記法則添融合處理
```r
# In the switch/dispatch
"<type>" = generate_<type>_pieces_internal(params, seed)
```
**得:** 類分派時片得生。
**敗則:** 驗分派例之串與類名全同,`generate_<type>_pieces_internal` 已定且自謎模導出。
### 第四步:接 piece_positioning.R
編 `R/piece_positioning.R`:
添新類之定位分派。多類共用位法,然某類需定制。
**得:** `apply_piece_positioning()` 處新類無訛,片置於正位。
**敗則:** 察新類需定制位法乎,或可用共位。默路不適則添分派例。
### 第五步:接 unified_renderer.R
編 `R/unified_renderer.R`:
1. 於 `render_puzzle_svg()` 添渲例
2. 添邊路函:`get_<type>_edge_paths()`
3. 添片名函:`get_<type>_piece_name()`
**得:** SVG 出現新類,片廓與邊路正。
**敗則:** 驗 `get_<type>_edge_paths()` 返有效 SVG 路,`get_<type>_piece_name()` 生各片之獨識。
### 第六步:接 adjacency_api.R
編 `R/adjacency_api.R`:
添鄰之分派,使 `get_neighbors()` 與 `get_adjacency()` 行於新類。
**得:** `get_neighbors(result, piece_id)` 返正確之鄰。
**敗則:** 驗鄰分派返正數結。以小格試,手驗鄰關於幾何。
### 第七步:添 ggpuzzle geom 層
編 `R/geom_puzzle.R`:
以 `make_puzzle_layer()` 工建 `geom_puzzle_<type>()`:
```r
#' @export
geom_puzzle_<type> <- function(mapping = NULL, data = NULL, ...) {
make_puzzle_layer(type = "<type>", mapping = mapping, data = data, ...)
}
```
**得:** `ggplot() + geom_puzzle_<type>(aes(...))` 渲而不訛。
**敗則:** 驗 `make_puzzle_layer()` 受正類串,geom 函經 `@export` 於 NAMESPACE 導出。
### 第八步:添 Stat 分派
編 `R/stat_puzzle.R`:
1. 添類特默參
2. 於 `compute_panel()` 添分派例
**得:** stat 層算謎幾何正,生預期之多邊。
**敗則:** 驗 `compute_panel()` 分派例返所需列(`x`、`y`、`group`、`piece_id`)之數框,默參合理。
### 第九步:更 DESCRIPTION
編 `DESCRIPTION`:
1. 添新類於 Description 段之文
2. 添新包於 `Suggests:`(若有外依)
3. 更 `Collate:` 納新 R 檔(按字序)
**得:** `devtools::document()` 成。無未列檔之 NOTE。
**敗則:** 驗新 R 檔按字序入 `Collate:`,新 Suggests 包名與版約無誤。
### 第十步:更 config.yml
編 `inst/config.yml`:
添新類之默與約:
```yaml
<type>:
grid:
default: [3, 3]
min: [2, 2]
max: [20, 20]
size:
default: [300, 300]
min: [100, 100]
max: [2000, 2000]
tabsize:
default: 20
min: 5
max: 50
# Add type-specific params here
```
**得:** 設為有效 YAML。默生可行之謎。
**敗則:** 以 `yaml::yaml.load_file("inst/config.yml")` 驗 YAML。確默格與默徑生合宜之謎。
### 第十一步:擴 Shiny 應用
編 `inst/shiny-app/app.R`:
1. 添新類於 UI 類選
2. 添條件 UI 面板於類特參
3. 添服端生成邏輯
**得:** Shiny 應用下拉見新類,擇之則生謎。
**敗則:** 驗類入 UI 選之 `choices`,類特參條件面板用 `conditionalPanel(condition = "input.type == '<type>'")`,服端傳正參。
### 第十二步:建試套
建 `tests/testthat/test-<type>-puzzles.R`:
```r
test_that("<type> puzzle generates correct piece count", { ... })
test_that("<type> puzzle respects seed reproducibility", { ... })
test_that("<type> adjacency returns valid neighbors", { ... })
test_that("<type> fusion merges pieces correctly", { ... })
test_that("<type> geom layer renders without error", { ... })
test_that("<type> SVG output is well-formed", { ... })
test_that("<type> config constraints are enforced", { ... })
```
類需外包則裹試以 `skip_if_not_installed()`。
**得:** 諸試皆過。無跳除非外依缺。
**敗則:** 各接點逐察。最常者分派例闕——行 `grep -rn "switch\|valid_types" R/` 察所有分派處。
## 驗
- [ ] `generate_puzzle(type = "<type>")` 生有效之出
- [ ] 十接點皆正接
- [ ] `devtools::test()` 過新試
- [ ] `devtools::check()` 返 0 訛、0 警
- [ ] Shiny 應用渲新類
- [ ] 設之約強制(min/max 驗)
- [ ] 鄰與融合正行
- [ ] ggpuzzle geom 層渲無訛
- [ ] `devtools::document()` 成(NAMESPACE 更)
## 陷
- **分派例闕**:遺一檔致默敗或「未知類」訛
- **strsplit 遇負數**:以 `paste(a, b, sep = "-")` 建鄰鍵,負片標生如 `"1--1"` 之鍵。改用 `"|"` 分,以 `"\\|"` 析
- **用 `cat()` 出文**:必用 `cli` 包之日誌裹(`log_info`、`log_warn` 等)
- **Collate 之序**:DESCRIPTION Collate 必按字序或依賴序
- **Config.yml 之式**:確 YAML 有效;以 `yaml::yaml.load_file("inst/config.yml")` 試
## 參
- `generate-puzzle` — 架立後試新類
- `run-puzzle-tests` — 行全試套驗整合
- `validate-piles-notation` — 試新類之融合
- `write-testthat-tests` — 通用試之式
- `write-roxygen-docs` — 書新 geom 函之文
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