diff --git a/CLAUDE.md b/CLAUDE.md index fbbfd38..b0dac32 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -5,13 +5,14 @@ ## 開発進捗 -現在の進捗: フェーズ 7（実装）— Step 1 完了． -次のアクション: `/implement Step 2: YAML スキーマ定義`（[PLAN_02 参照](docs/03_PLAN/PLAN_02_開発ステップ.md)） +現在の進捗: フェーズ 7（実装）— Step 1〜2 完了． +次のアクション: `/implement Step 3: ジオメトリ層`（[PLAN_02 参照](docs/03_PLAN/PLAN_02_開発ステップ.md)） 実装済みモジュール: - `src/sm_tias_lightsim/uniformity.py` — Rec.709 輝度変換 + CoV/std/max-min（MiniTias-Evaluation コピー） - `src/sm_tias_lightsim/evaluation/zones.py` — 正規化楕円距離マップ + 3 ゾーン分類 + ゾーン別統計 - `src/sm_tias_lightsim/evaluation/radial.py` — 20 ビン放射状輝度プロファイル +- `src/sm_tias_lightsim/scene/schema.py` — Pydantic ベース YAML スキーマ + ローダ ※ ステップ完了時にここを更新すること． ## 必須ルール（コード実装時） diff --git "a/docs/02_ENV/ENV_01_\346\212\200\350\241\223\343\202\271\343\202\277\343\203\203\343\202\257.md" "b/docs/02_ENV/ENV_01_\346\212\200\350\241\223\343\202\271\343\202\277\343\203\203\343\202\257.md" index 8938b3c..aa44a9d 100644 --- "a/docs/02_ENV/ENV_01_\346\212\200\350\241\223\343\202\271\343\202\277\343\203\203\343\202\257.md" +++ "b/docs/02_ENV/ENV_01_\346\212\200\350\241\223\343\202\271\343\202\277\343\203\203\343\202\257.md" @@ -56,6 +56,8 @@ | シミュレータ | `mitsuba` | 光線追跡コア | | 数値計算 | `numpy` | 配列計算（評価指標と共用） | | ジオメトリ | `trimesh` | STL の読み込み・三角形メッシュ操作 | +| シーン定義 | `pydantic` | YAML スキーマのバリデーション | +| 設定ファイル | `pyyaml` | YAML パース | | 画像 I/O | `pillow` | PNG 出力（実機画像と同形式に揃える） | | 可視化 | `matplotlib` | 輝度マップ・ヒストグラム・放射状プロファイル等 | | 表データ | `pandas` | 均一性指標 CSV の生成・統計集計 | diff --git a/pyproject.toml b/pyproject.toml index 7e0940c..8dd8137 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,6 +11,8 @@ "numpy>=2.4.4", "pandas>=3.0.2", "pillow>=12.2.0", + "pydantic>=2.13.3", + "pyyaml>=6.0.3", "trimesh>=4.12.1", ] diff --git a/src/sm_tias_lightsim/scene/__init__.py b/src/sm_tias_lightsim/scene/__init__.py new file mode 100644 index 0000000..06e1e16 --- /dev/null +++ b/src/sm_tias_lightsim/scene/__init__.py @@ -0,0 +1,8 @@ +"""scene パッケージ — YAML スキーマ定義・シーン構築モジュール群．""" + +from sm_tias_lightsim.scene.schema import ( + SceneConfig, + load_scene_yaml, +) + +__all__ = ["SceneConfig", "load_scene_yaml"] diff --git a/src/sm_tias_lightsim/scene/schema.py b/src/sm_tias_lightsim/scene/schema.py new file mode 100644 index 0000000..47bf488 --- /dev/null +++ b/src/sm_tias_lightsim/scene/schema.py @@ -0,0 +1,325 @@ +"""YAML シーン定義スキーマ（Pydantic モデル）． + +SPEC_02_シーン定義仕様 に準拠したモデル群と，YAML ファイルローダを提供する． +""" + +from __future__ import annotations + +from pathlib import Path +from typing import Annotated, Literal + +import yaml +from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator + +# --------------------------------------------------------------------------- +# 共通基底・型エイリアス +# --------------------------------------------------------------------------- + + +# 全モデルで frozen=True を共有するため基底クラスに集約する +class _FrozenBase(BaseModel): + model_config = ConfigDict(frozen=True) + + +# 3D ベクトル（mm 座標・方向ベクトル・RGB 輝度）の共通型 +Vec3 = tuple[float, float, float] + + +# --------------------------------------------------------------------------- +# Film / Sensor +# --------------------------------------------------------------------------- + + +class FilmConfig(_FrozenBase): + """レンダリングフィルム（出力解像度・ピクセルフィルタ）設定．""" + + width: int = Field(..., ge=1, description="フィルム幅 [px]") + height: int = Field(..., ge=1, description="フィルム高さ [px]") + rfilter: Literal["gaussian", "box", "tent"] = Field( + default="gaussian", description="ピクセル再構成フィルタ" + ) + + +class SensorConfig(_FrozenBase): + """カメラセンサ設定．現在は perspective のみ対応．""" + + type: Literal["perspective"] + position: Vec3 = Field(..., description="カメラ位置 [mm]") + target: Vec3 = Field(..., description="注視点 [mm]") + up: Vec3 = Field(..., description="上方向ベクトル") + fov_deg: float = Field(..., description="水平方向 FOV [deg]") + film: FilmConfig + + @field_validator("fov_deg") + @classmethod + def _validate_fov(cls, v: float) -> float: + """FOV が 0 < fov_deg < 180 の範囲内であることを検証する．""" + if not (0.0 < v < 180.0): + msg = f"fov_deg must be in range (0, 180), got {v}" + raise ValueError(msg) + return v + + +# --------------------------------------------------------------------------- +# Render +# --------------------------------------------------------------------------- + + +class RenderConfig(_FrozenBase): + """レンダリングパラメータ設定．""" + + variant: str = Field(default="llvm_ad_rgb", description="Mitsuba variant 文字列") + integrator: Literal["path", "direct", "volpath"] = Field( + default="path", description="積分器の種類" + ) + max_depth: int = Field(default=8, ge=1, description="最大光線追跡深度") + spp: int = Field(default=256, ge=1, description="ピクセルあたりのサンプル数") + + +# --------------------------------------------------------------------------- +# Materials（discriminated union） +# --------------------------------------------------------------------------- + + +class DiffuseMaterial(_FrozenBase): + """Lambertian 拡散反射材料．""" + + type: Literal["diffuse"] + reflectance: float | Vec3 = Field(..., description="反射率（スカラまたは RGB タプル）") + + +class _IorBase(_FrozenBase): + """屈折率フィールドを持つ誘電体材料の共通基底．""" + + int_ior: float = Field(..., description="内側の屈折率") + ext_ior: float = Field(..., description="外側の屈折率") + + +class DielectricMaterial(_IorBase): + """誘電体材料（厚みあり）．""" + + type: Literal["dielectric"] + + +class ThinDielectricMaterial(_IorBase): + """薄膜誘電体材料（ディフューザー薄板向け）．""" + + type: Literal["thindielectric"] + + +# type フィールドで識別される discriminated union +MaterialConfig = Annotated[ + DiffuseMaterial | DielectricMaterial | ThinDielectricMaterial, + Field(discriminator="type"), +] + + +# --------------------------------------------------------------------------- +# Lights（discriminated union） +# --------------------------------------------------------------------------- + + +class PointLight(_FrozenBase): + """点光源（LED 単体モデル等）．""" + + id: str = Field(..., description="シーン内ユニーク ID") + type: Literal["point"] + position: Vec3 = Field(..., description="位置 [mm]") + intensity: float | Vec3 = Field(..., description="強度（スカラまたは RGB タプル）") + profile: Literal["lambertian", "isotropic"] = Field(..., description="配光プロファイル") + + +class AreaLight(_FrozenBase): + """面光源（矩形）．""" + + id: str = Field(..., description="シーン内ユニーク ID") + type: Literal["area"] + shape: Literal["rectangle"] = Field(..., description="面形状") + center: Vec3 = Field(..., description="中心位置 [mm]") + size: tuple[float, float] = Field(..., description="サイズ [mm, mm]") + direction: Vec3 = Field(..., description="放射方向ベクトル") + radiance: float | Vec3 = Field(..., description="放射輝度（スカラまたは RGB タプル）") + + +class DirectionalLight(_FrozenBase): + """平行光源（無限遠光源）．""" + + id: str = Field(..., description="シーン内ユニーク ID") + type: Literal["directional"] + direction: Vec3 = Field(..., description="光の進行方向ベクトル") + irradiance: float | Vec3 = Field(..., description="照度（スカラまたは RGB タプル）") + + +# type フィールドで識別される discriminated union +LightConfig = Annotated[ + PointLight | AreaLight | DirectionalLight, + Field(discriminator="type"), +] + + +# --------------------------------------------------------------------------- +# Geometry +# --------------------------------------------------------------------------- + + +class MeshConfig(_FrozenBase): + """メッシュ（STL）定義．""" + + id: str = Field(..., description="シーン内ユニーク ID") + path: str = Field(..., description="プロジェクトルートからの相対パス（存在チェックは行わない）") + unit: Literal["mm", "m"] = Field(..., description="モデルの単位系") + material: str = Field(..., description="materials の dict キー参照") + + +class GeometryConfig(_FrozenBase): + """ジオメトリ設定（メッシュ一覧）．""" + + meshes: list[MeshConfig] = Field(..., min_length=1, description="メッシュ定義リスト") + + +# --------------------------------------------------------------------------- +# Evaluation +# --------------------------------------------------------------------------- + + +class RoiConfig(_FrozenBase): + """評価 ROI 設定（image_pixel 型のみ対応）． + + scene_face 型は将来実装予定． + """ + + type: Literal["image_pixel"] + x: int = Field(..., ge=0, description="ROI 左上 X 座標 [px]") + y: int = Field(..., ge=0, description="ROI 左上 Y 座標 [px]") + width: int = Field(..., ge=1, description="ROI 幅 [px]") + height: int = Field(..., ge=1, description="ROI 高さ [px]") + + +class ZonesConfig(_FrozenBase): + """3 ゾーン分析設定（中心 / 中間 / 周辺）．""" + + enabled: bool = Field(default=True, description="ゾーン分析の有効/無効") + boundaries: tuple[float, float] = Field( + default=(0.33, 0.66), + description="境界値 (b1, b2)．0 < b1 < b2 < 1 を満たす正規化距離", + ) + + @field_validator("boundaries") + @classmethod + def _validate_boundaries(cls, v: tuple[float, float]) -> tuple[float, float]: + """境界値が 0 < b1 < b2 < 1 を満たすことを検証する．""" + b1, b2 = v + if not (0.0 < b1 < b2 < 1.0): + msg = f"boundaries must satisfy 0 < b1 < b2 < 1, got ({b1}, {b2})" + raise ValueError(msg) + return v + + +class MetricsConfig(_FrozenBase): + """算出する均一性指標フラグ設定．""" + + cov: bool = Field(default=True, description="変動係数 (CoV)") + std: bool = Field(default=True, description="標準偏差") + max_min: bool = Field(default=True, description="最大値/最小値比") + radial_profile: bool = Field(default=True, description="放射状プロファイル") + + +class EvaluationConfig(_FrozenBase): + """評価設定（ROI・ゾーン・指標）．""" + + roi: RoiConfig + zones: ZonesConfig | None = None + metrics: MetricsConfig | None = None + + +# --------------------------------------------------------------------------- +# Top-level SceneConfig +# --------------------------------------------------------------------------- + + +class SceneConfig(_FrozenBase): + """シーン定義全体を表すトップレベルモデル． + + SPEC_02_シーン定義仕様 に準拠した構造を持つ． + model_validator でメッシュ・光源 ID の一意性，および材料参照整合性を検証する． + """ + + name: str = Field(..., description="設計識別名（出力ディレクトリ名に使用）") + description: str | None = Field(default=None, description="自由記述") + geometry: GeometryConfig + materials: dict[str, MaterialConfig] + lights: list[LightConfig] = Field(..., min_length=1, description="光源リスト（1 個以上）") + sensor: SensorConfig + render: RenderConfig = Field(default_factory=RenderConfig) + evaluation: EvaluationConfig | None = None + + @model_validator(mode="after") + def _validate_cross_references(self) -> SceneConfig: + """メッシュ/光源 ID の一意性と材料参照整合性を検証する． + + 検証内容: + 1. geometry.meshes の各 id が重複していないこと． + 2. lights の各 id が重複していないこと． + 3. 各 mesh.material が materials の dict キーに存在すること． + + Returns: + 検証済みの SceneConfig 自身． + + Raises: + ValueError: 重複 ID または未定義材料参照が見つかった場合． + """ + # 1. mesh.id ユニーク性チェック + seen_mesh_ids: set[str] = set() + for mesh in self.geometry.meshes: + if mesh.id in seen_mesh_ids: + msg = f"Duplicate mesh id: '{mesh.id}'" + raise ValueError(msg) + seen_mesh_ids.add(mesh.id) + + # 2. light.id ユニーク性チェック + # LightConfig は discriminated union なので各エントリは必ず id を持つ + seen_light_ids: set[str] = set() + for light in self.lights: + if light.id in seen_light_ids: + msg = f"Duplicate light id: '{light.id}'" + raise ValueError(msg) + seen_light_ids.add(light.id) + + # 3. mesh.material 参照整合性チェック + material_keys = set(self.materials.keys()) + for mesh in self.geometry.meshes: + if mesh.material not in material_keys: + msg = f"mesh '{mesh.id}' references unknown material '{mesh.material}'" + raise ValueError(msg) + + return self + + +# --------------------------------------------------------------------------- +# YAML Loader +# --------------------------------------------------------------------------- + + +def load_scene_yaml(path: str | Path) -> SceneConfig: + """YAML ファイルを読み込み，検証済み SceneConfig を返す． + + Args: + path: YAML ファイルのパス． + + Returns: + 検証済みの SceneConfig インスタンス． + + Raises: + FileNotFoundError: ファイルが存在しない場合． + pydantic.ValidationError: スキーマ違反． + yaml.YAMLError: YAML 構文エラー． + """ + resolved = Path(path) + if not resolved.exists(): + msg = f"Scene YAML file not found: {resolved}" + raise FileNotFoundError(msg) + + with resolved.open(encoding="utf-8") as f: + data = yaml.safe_load(f) + + return SceneConfig.model_validate(data) diff --git a/tests/scene/__init__.py b/tests/scene/__init__.py new file mode 100644 index 0000000..e69de29 --- /dev/null +++ b/tests/scene/__init__.py diff --git a/tests/scene/conftest.py b/tests/scene/conftest.py new file mode 100644 index 0000000..ef94eaf --- /dev/null +++ b/tests/scene/conftest.py @@ -0,0 +1,92 @@ +"""scene テスト共通フィクスチャ． + +有効な最小構成 YAML 文字列を提供する． +異常系テストはこの文字列を replace するか，dict を直接組み立てて検証する． +""" + +import pytest + + +@pytest.fixture +def valid_minimal_yaml() -> str: + """必須 6 セクション（name, geometry, materials, lights, sensor, render）のみの最小 YAML． + + 各テストで replace/加工のベースとして使う． + """ + return """\ +name: test_scene +geometry: + meshes: + - id: housing + path: configs/meshes/housing.stl + unit: mm + material: mat_diffuse +materials: + mat_diffuse: + type: diffuse + reflectance: 0.5 +lights: + - id: led_top + type: point + position: [0.0, 0.0, 50.0] + intensity: [1.0, 1.0, 1.0] + profile: lambertian +sensor: + type: perspective + position: [0.0, 0.0, 100.0] + target: [0.0, 0.0, 0.0] + up: [0.0, 1.0, 0.0] + fov_deg: 60.0 + film: + width: 1920 + height: 1080 +render: + variant: llvm_ad_rgb + integrator: path + max_depth: 8 + spp: 256 +""" + + +@pytest.fixture +def valid_minimal_dict() -> dict: + """valid_minimal_yaml と同内容の Python dict．モデル直接検証に使う．""" + return { + "name": "test_scene", + "geometry": { + "meshes": [ + { + "id": "housing", + "path": "configs/meshes/housing.stl", + "unit": "mm", + "material": "mat_diffuse", + } + ] + }, + "materials": { + "mat_diffuse": {"type": "diffuse", "reflectance": 0.5}, + }, + "lights": [ + { + "id": "led_top", + "type": "point", + "position": [0.0, 0.0, 50.0], + "intensity": [1.0, 1.0, 1.0], + "profile": "lambertian", + } + ], + "sensor": { + "type": "perspective", + "position": [0.0, 0.0, 100.0], + "target": [0.0, 0.0, 0.0], + "up": [0.0, 1.0, 0.0], + "fov_deg": 60.0, + "film": {"width": 1920, "height": 1080}, + }, + "render": { + "variant": "llvm_ad_rgb", + "integrator": "path", + "max_depth": 8, + "spp": 256, + }, + } diff --git a/tests/scene/test_loader.py b/tests/scene/test_loader.py new file mode 100644 index 0000000..fb4da9a --- /dev/null +++ b/tests/scene/test_loader.py @@ -0,0 +1,157 @@ +"""scene/schema.py の load_scene_yaml 関数の仕様ベーステスト． + +仕様出典: docs/04_SPEC/SPEC_02_シーン定義仕様.md +モック方針: ファイル I/O はモックせず tmp_path フィクスチャで実ファイルを使う (GUIDE_08) +""" + +from pathlib import Path + +import pytest +import yaml +from pydantic import ValidationError + +from sm_tias_lightsim.scene import SceneConfig, load_scene_yaml + + +@pytest.fixture +def valid_yaml_content() -> str: + """load_scene_yaml テスト用の有効な YAML 文字列．""" + return """\ +name: loader_test_scene +geometry: + meshes: + - id: housing + path: configs/meshes/housing.stl + unit: mm + material: mat_diffuse +materials: + mat_diffuse: + type: diffuse + reflectance: 0.5 +lights: + - id: led_top + type: point + position: [0.0, 0.0, 50.0] + intensity: [1.0, 1.0, 1.0] + profile: lambertian +sensor: + type: perspective + position: [0.0, 0.0, 100.0] + target: [0.0, 0.0, 0.0] + up: [0.0, 1.0, 0.0] + fov_deg: 60.0 + film: + width: 1920 + height: 1080 +render: + variant: llvm_ad_rgb + integrator: path + max_depth: 8 + spp: 256 +""" + + +def test_load_scene_yaml_returns_scene_config(tmp_path, valid_yaml_content): + """正常な YAML ファイルから SceneConfig インスタンスが返ること． + + 仕様: load_scene_yaml(path) -> SceneConfig (SPEC_02 バリデーション節) + """ + yaml_file = tmp_path / "scene.yaml" + yaml_file.write_text(valid_yaml_content, encoding="utf-8") + + config = load_scene_yaml(yaml_file) + + assert isinstance(config, SceneConfig) + assert config.name == "loader_test_scene" + + +def test_load_scene_yaml_raises_file_not_found(tmp_path): + """存在しないパスを渡したとき FileNotFoundError が発生すること． + + 仕様: FileNotFoundError: ファイルが存在しない場合 (schema.py docstring) + """ + nonexistent = tmp_path / "does_not_exist.yaml" + + with pytest.raises(FileNotFoundError): + load_scene_yaml(nonexistent) + + +def test_load_scene_yaml_raises_yaml_error(tmp_path): + """不正な YAML 構文のファイルを渡したとき yaml.YAMLError 系の例外が発生すること． + + 仕様: yaml.YAMLError: YAML 構文エラー (schema.py docstring) + """ + invalid_yaml = tmp_path / "invalid.yaml" + # タブ文字を含む不正な YAML + invalid_yaml.write_text("name: test\n\t invalid_indent: [unclosed", encoding="utf-8") + + with pytest.raises(yaml.YAMLError): + load_scene_yaml(invalid_yaml) + + +def test_load_scene_yaml_raises_validation_error(tmp_path): + """構文は正しいが必須キーが欠落した YAML で ValidationError が発生すること． + + 仕様: pydantic.ValidationError: スキーマ違反 (schema.py docstring) + """ + # name が欠落した構文的に正しい YAML + missing_name_yaml = """\ +geometry: + meshes: + - id: housing + path: configs/meshes/housing.stl + unit: mm + material: mat_diffuse +materials: + mat_diffuse: + type: diffuse + reflectance: 0.5 +lights: + - id: led_top + type: point + position: [0.0, 0.0, 50.0] + intensity: 1.0 + profile: lambertian +sensor: + type: perspective + position: [0.0, 0.0, 100.0] + target: [0.0, 0.0, 0.0] + up: [0.0, 1.0, 0.0] + fov_deg: 60.0 + film: + width: 1920 + height: 1080 +""" + yaml_file = tmp_path / "missing_name.yaml" + yaml_file.write_text(missing_name_yaml, encoding="utf-8") + + with pytest.raises(ValidationError): + load_scene_yaml(yaml_file) + + +def test_load_scene_yaml_accepts_pathlib_path(tmp_path, valid_yaml_content): + """Path オブジェクトを引数として受け付けること． + + 仕様: load_scene_yaml(path: str | Path) (schema.py シグネチャ) + """ + yaml_file = tmp_path / "scene.yaml" + yaml_file.write_text(valid_yaml_content, encoding="utf-8") + + # Path オブジェクトを渡す + config = load_scene_yaml(Path(yaml_file)) + + assert isinstance(config, SceneConfig) + + +def test_load_scene_yaml_accepts_str_path(tmp_path, valid_yaml_content): + """文字列パスを引数として受け付けること． + + 仕様: load_scene_yaml(path: str | Path) (schema.py シグネチャ) + """ + yaml_file = tmp_path / "scene.yaml" + yaml_file.write_text(valid_yaml_content, encoding="utf-8") + + # 文字列パスを渡す + config = load_scene_yaml(str(yaml_file)) + + assert isinstance(config, SceneConfig) diff --git a/tests/scene/test_schema.py b/tests/scene/test_schema.py new file mode 100644 index 0000000..7a4480a --- /dev/null +++ b/tests/scene/test_schema.py @@ -0,0 +1,517 @@ +"""scene/schema.py の仕様ベーステスト． + +仕様出典: docs/04_SPEC/SPEC_02_シーン定義仕様.md +""" + +import copy + +import pytest +import yaml +from pydantic import ValidationError + +from sm_tias_lightsim.scene.schema import ( + AreaLight, + DielectricMaterial, + DiffuseMaterial, + DirectionalLight, + PointLight, + SceneConfig, + ThinDielectricMaterial, +) + +# --------------------------------------------------------------------------- +# 正常系: 最小構成 +# --------------------------------------------------------------------------- + + +def test_minimal_valid_yaml_parses(valid_minimal_yaml): + """必須 6 セクションのみで SceneConfig が生成されること． + + 仕様: name, geometry, materials, lights, sensor, render が必須 (SPEC_02 トップレベル構造) + """ + data = yaml.safe_load(valid_minimal_yaml) + config = SceneConfig.model_validate(data) + assert config.name == "test_scene" + assert len(config.geometry.meshes) == 1 + assert len(config.lights) == 1 + + +def test_optional_evaluation_section(valid_minimal_dict): + """evaluation を省略しても SceneConfig が生成されること． + + 仕様: evaluation は任意（SPEC_02 evaluation セクション） + """ + d = copy.deepcopy(valid_minimal_dict) + d.pop("evaluation", None) + config = SceneConfig.model_validate(d) + assert config.evaluation is None + + +def test_optional_description(valid_minimal_dict): + """description を省略しても SceneConfig が生成されること． + + 仕様: description は任意（SPEC_02 トップレベル構造） + """ + d = copy.deepcopy(valid_minimal_dict) + d.pop("description", None) + config = SceneConfig.model_validate(d) + assert config.description is None + + +def test_render_defaults(valid_minimal_dict): + """render セクションを省略しても既定値が設定されること． + + 仕様: render.variant デフォルト llvm_ad_rgb, spp デフォルト 256 (SPEC_02 render セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d.pop("render", None) + config = SceneConfig.model_validate(d) + assert config.render.variant == "llvm_ad_rgb" + assert config.render.spp == 256 + assert config.render.integrator == "path" + assert config.render.max_depth == 8 + + +# --------------------------------------------------------------------------- +# 正常系: マテリアル +# --------------------------------------------------------------------------- + + +def test_diffuse_material_with_scalar_reflectance(valid_minimal_dict): + """reflectance をスカラ値で指定できること． + + 仕様: reflectance スカラ可 (SPEC_02 materials セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d["materials"]["mat_diffuse"] = {"type": "diffuse", "reflectance": 0.95} + config = SceneConfig.model_validate(d) + mat = config.materials["mat_diffuse"] + assert isinstance(mat, DiffuseMaterial) + assert mat.reflectance == pytest.approx(0.95) + + +def test_diffuse_material_with_rgb_reflectance(valid_minimal_dict): + """reflectance を RGB リストで指定できること． + + 仕様: reflectance: [0.05, 0.05, 0.05] の RGB 表記 (SPEC_02 materials セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d["materials"]["mat_diffuse"] = {"type": "diffuse", "reflectance": [0.05, 0.05, 0.05]} + config = SceneConfig.model_validate(d) + mat = config.materials["mat_diffuse"] + assert isinstance(mat, DiffuseMaterial) + assert mat.reflectance == pytest.approx((0.05, 0.05, 0.05)) + + +def test_dielectric_and_thindielectric_materials(valid_minimal_dict): + """dielectric / thindielectric の type が正しく識別されること． + + 仕様: type: dielectric / thindielectric の discriminated union (SPEC_02 materials セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d["materials"]["mat_dielectric"] = { + "type": "dielectric", + "int_ior": 1.5, + "ext_ior": 1.0, + } + d["materials"]["mat_thin"] = { + "type": "thindielectric", + "int_ior": 1.49, + "ext_ior": 1.0, + } + d["geometry"]["meshes"].append( + {"id": "mesh2", "path": "m.stl", "unit": "mm", "material": "mat_dielectric"} + ) + d["geometry"]["meshes"].append( + {"id": "mesh3", "path": "m.stl", "unit": "mm", "material": "mat_thin"} + ) + config = SceneConfig.model_validate(d) + assert isinstance(config.materials["mat_dielectric"], DielectricMaterial) + assert isinstance(config.materials["mat_thin"], ThinDielectricMaterial) + + +# --------------------------------------------------------------------------- +# 正常系: ライト +# --------------------------------------------------------------------------- + + +def test_point_light_parses(valid_minimal_dict): + """point 光源の必須フィールドが正しくパースされること． + + 仕様: type: point, position, intensity, profile (SPEC_02 lights セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + config = SceneConfig.model_validate(d) + light = config.lights[0] + assert isinstance(light, PointLight) + assert light.id == "led_top" + assert light.type == "point" + assert light.position == pytest.approx((0.0, 0.0, 50.0)) + assert light.profile == "lambertian" + + +def test_area_light_parses(valid_minimal_dict): + """area 光源の必須フィールドが正しくパースされること． + + 仕様: type: area, shape, center, size, direction, radiance (SPEC_02 lights セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d["lights"] = [ + { + "id": "led_area", + "type": "area", + "shape": "rectangle", + "center": [0.0, 0.0, 20.0], + "size": [10.0, 10.0], + "direction": [0.0, 0.0, -1.0], + "radiance": [50.0, 50.0, 50.0], + } + ] + config = SceneConfig.model_validate(d) + light = config.lights[0] + assert isinstance(light, AreaLight) + assert light.id == "led_area" + assert light.shape == "rectangle" + assert light.size == pytest.approx((10.0, 10.0)) + assert light.radiance == pytest.approx((50.0, 50.0, 50.0)) + + +def test_directional_light_parses(valid_minimal_dict): + """directional 光源が正しくパースされること． + + 仕様: type: directional, direction, irradiance (SPEC_02 lights セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d["lights"] = [ + { + "id": "sun", + "type": "directional", + "direction": [0.0, 0.0, -1.0], + "irradiance": 1.0, + } + ] + config = SceneConfig.model_validate(d) + light = config.lights[0] + assert isinstance(light, DirectionalLight) + assert light.id == "sun" + assert light.direction == pytest.approx((0.0, 0.0, -1.0)) + + +# --------------------------------------------------------------------------- +# 正常系: evaluation / zones +# --------------------------------------------------------------------------- + + +def test_zones_default_boundaries(valid_minimal_dict): + """boundaries を省略したとき既定値 (0.33, 0.66) が設定されること． + + 仕様: boundaries デフォルト [0.33, 0.66] (SPEC_02 evaluation セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d["evaluation"] = { + "roi": {"type": "image_pixel", "x": 0, "y": 0, "width": 100, "height": 100}, + "zones": {"enabled": True}, + } + config = SceneConfig.model_validate(d) + assert config.evaluation is not None + assert config.evaluation.zones is not None + assert config.evaluation.zones.boundaries == pytest.approx((0.33, 0.66)) + + +# --------------------------------------------------------------------------- +# 異常系: 必須キー欠落 +# --------------------------------------------------------------------------- + + +def test_missing_name_raises(valid_minimal_dict): + """name が欠落したとき ValidationError が発生すること． + + 仕様: name 必須 (SPEC_02 トップレベル構造) + """ + d = copy.deepcopy(valid_minimal_dict) + del d["name"] + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_missing_geometry_raises(valid_minimal_dict): + """geometry が欠落したとき ValidationError が発生すること． + + 仕様: geometry 必須 (SPEC_02 トップレベル構造) + """ + d = copy.deepcopy(valid_minimal_dict) + del d["geometry"] + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_missing_materials_raises(valid_minimal_dict): + """materials が欠落したとき ValidationError が発生すること． + + 仕様: materials 必須 (SPEC_02 トップレベル構造) + """ + d = copy.deepcopy(valid_minimal_dict) + del d["materials"] + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_missing_lights_raises(valid_minimal_dict): + """lights が欠落したとき ValidationError が発生すること． + + 仕様: lights 必須 (SPEC_02 トップレベル構造) + """ + d = copy.deepcopy(valid_minimal_dict) + del d["lights"] + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_missing_sensor_raises(valid_minimal_dict): + """sensor が欠落したとき ValidationError が発生すること． + + 仕様: sensor 必須 (SPEC_02 トップレベル構造) + """ + d = copy.deepcopy(valid_minimal_dict) + del d["sensor"] + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_empty_lights_list_raises(valid_minimal_dict): + """lights が空リストのとき ValidationError が発生すること． + + 仕様: lights は 1 個以上必須 (SPEC_02 lights セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d["lights"] = [] + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_empty_meshes_list_raises(valid_minimal_dict): + """geometry.meshes が空リストのとき ValidationError が発生すること． + + 仕様: meshes は 1 個以上必須（min_length=1） + """ + d = copy.deepcopy(valid_minimal_dict) + d["geometry"]["meshes"] = [] + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +# --------------------------------------------------------------------------- +# 異常系: 参照整合性・ID 重複 +# --------------------------------------------------------------------------- + + +def test_dangling_material_reference_raises(valid_minimal_dict): + """存在しない material を mesh が参照したとき ValidationError が発生し， + エラーメッセージに mesh id と material name が含まれること． + + 仕様: 参照整合性チェック (SPEC_02 バリデーション節) + """ + d = copy.deepcopy(valid_minimal_dict) + d["geometry"]["meshes"][0]["material"] = "nonexistent_material" + with pytest.raises(ValidationError) as exc_info: + SceneConfig.model_validate(d) + error_str = str(exc_info.value) + assert "housing" in error_str + assert "nonexistent_material" in error_str + + +def test_duplicate_mesh_id_raises(valid_minimal_dict): + """同じ mesh.id が 2 つあるとき ValidationError が発生すること． + + 仕様: ID の重複チェック (SPEC_02 バリデーション節) + """ + d = copy.deepcopy(valid_minimal_dict) + d["geometry"]["meshes"].append( + { + "id": "housing", # 重複 + "path": "other.stl", + "unit": "mm", + "material": "mat_diffuse", + } + ) + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_duplicate_light_id_raises(valid_minimal_dict): + """同じ light.id が 2 つあるとき ValidationError が発生すること． + + 仕様: ID の重複チェック (SPEC_02 バリデーション節) + """ + d = copy.deepcopy(valid_minimal_dict) + d["lights"].append( + { + "id": "led_top", # 重複 + "type": "point", + "position": [1.0, 0.0, 50.0], + "intensity": 1.0, + "profile": "isotropic", + } + ) + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +# --------------------------------------------------------------------------- +# 異常系: 型・値範囲 +# --------------------------------------------------------------------------- + + +def test_invalid_unit_cm_raises(valid_minimal_dict): + """unit: cm を指定したとき ValidationError が発生すること． + + 仕様: unit は mm | m のみ (SPEC_02 geometry セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d["geometry"]["meshes"][0]["unit"] = "cm" + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_invalid_material_type_raises(valid_minimal_dict): + """未対応の material type（mask 等）で ValidationError が発生すること． + + 仕様: type は diffuse / dielectric / thindielectric の discriminated union (SPEC_02) + 注: SPEC_02 では mask が将来拡張として記載されているが，現在はサポート外 + """ + d = copy.deepcopy(valid_minimal_dict) + d["materials"]["mat_diffuse"] = {"type": "mask", "opacity": 0.5} + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_invalid_light_type_raises(valid_minimal_dict): + """未対応の light type（laser 等）で ValidationError が発生すること． + + 仕様: type は point / area / directional の discriminated union (SPEC_02 lights セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d["lights"] = [ + { + "id": "laser_1", + "type": "laser", + "position": [0.0, 0.0, 50.0], + "intensity": 1.0, + } + ] + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_invalid_sensor_type_raises(valid_minimal_dict): + """type: orthographic を指定したとき ValidationError が発生すること． + + 仕様: sensor.type は perspective のみ (SPEC_02 sensor セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d["sensor"]["type"] = "orthographic" + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_fov_zero_raises(valid_minimal_dict): + """fov_deg: 0 のとき ValidationError が発生すること． + + 仕様: 0 < fov_deg < 180 (SPEC_02 バリデーション節) + """ + d = copy.deepcopy(valid_minimal_dict) + d["sensor"]["fov_deg"] = 0.0 + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_fov_180_raises(valid_minimal_dict): + """fov_deg: 180 のとき ValidationError が発生すること． + + 仕様: 0 < fov_deg < 180（端点は含まない）(SPEC_02 バリデーション節) + """ + d = copy.deepcopy(valid_minimal_dict) + d["sensor"]["fov_deg"] = 180.0 + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_zones_invalid_boundaries_raises(valid_minimal_dict): + """boundaries: [0.66, 0.33]（逆順）のとき ValidationError が発生すること． + + 仕様: 0 < b1 < b2 < 1 (SPEC_02 evaluation/zones セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d["evaluation"] = { + "roi": {"type": "image_pixel", "x": 0, "y": 0, "width": 100, "height": 100}, + "zones": {"enabled": True, "boundaries": [0.66, 0.33]}, + } + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_zones_boundaries_out_of_range_raises(valid_minimal_dict): + """boundaries: [0.0, 1.0]（範囲外）のとき ValidationError が発生すること． + + 仕様: 0 < b1 < b2 < 1（端点 0 と 1 は含まない）(SPEC_02 evaluation/zones セクション) + """ + d = copy.deepcopy(valid_minimal_dict) + d["evaluation"] = { + "roi": {"type": "image_pixel", "x": 0, "y": 0, "width": 100, "height": 100}, + "zones": {"enabled": True, "boundaries": [0.0, 1.0]}, + } + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +# --------------------------------------------------------------------------- +# 異常系: フィールドの細部 +# --------------------------------------------------------------------------- + + +def test_film_dimensions_must_be_positive(valid_minimal_dict): + """film.width: 0 のとき ValidationError が発生すること． + + 仕様: width >= 1 (ge=1) + """ + d = copy.deepcopy(valid_minimal_dict) + d["sensor"]["film"]["width"] = 0 + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_max_depth_must_be_positive(valid_minimal_dict): + """render.max_depth: 0 のとき ValidationError が発生すること． + + 仕様: max_depth >= 1 (ge=1) + """ + d = copy.deepcopy(valid_minimal_dict) + d["render"]["max_depth"] = 0 + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +def test_spp_must_be_positive(valid_minimal_dict): + """render.spp: 0 のとき ValidationError が発生すること． + + 仕様: spp >= 1 (ge=1) + """ + d = copy.deepcopy(valid_minimal_dict) + d["render"]["spp"] = 0 + with pytest.raises(ValidationError): + SceneConfig.model_validate(d) + + +# --------------------------------------------------------------------------- +# イミュータビリティ +# --------------------------------------------------------------------------- + + +def test_scene_config_is_frozen(valid_minimal_dict): + """パース後の SceneConfig インスタンスへの代入で ValidationError が発生すること． + + 仕様: frozen=True (schema.py ConfigDict) + """ + config = SceneConfig.model_validate(valid_minimal_dict) + with pytest.raises(ValidationError): + config.name = "modified" # type: ignore[misc] diff --git a/uv.lock b/uv.lock index 6c52c49..78a87fb 100644 --- a/uv.lock +++ b/uv.lock @@ -11,6 +11,15 @@ ] [[package]] +name = "annotated-types" +version = "0.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" } +wheels = [ + { url = 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