chore: finish icons builder
- finish icons builder in scripts.
This commit is contained in:
@ -1,174 +1,70 @@
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import enum
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import json
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import logging
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import ast
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from typing import Optional, Self
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from pydantic import BaseModel, RootModel, Field, model_validator, ValidationError
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import common
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import json, logging, ast, typing
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import pydantic
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import common, bme
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from common import AssetKind
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#region Assistant Validator
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def validate_programmable_str(probe: str) -> None:
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def _validate_programmable_field(probe: str) -> None:
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try:
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ast.parse(probe)
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except SyntaxError:
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raise ValueError(
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f'String {probe} may not be a valid Python statement which is not suit for programmable field.')
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logging.error(f'String {probe} may not be a valid Python statement which is not suit for programmable field.')
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class ShowcaseType(enum.StrEnum):
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Nothing = 'none'
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Floor = 'floor'
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Rail = 'Rail'
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Wood = 'wood'
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def _validate_showcase_icon(icon_name: str) -> None:
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icon_path = common.get_raw_assets_folder(AssetKind.Icons) / 'bme' / f'{icon_name}.png'
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if not icon_path.is_file():
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logging.error(f'Icon value {icon_name} may not be valid because it do not existing.')
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#endregion
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#region Core Validator
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def _validate_prototype(prototype: bme.Prototype) -> None:
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pass
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class ShowcaseCfgType(enum.StrEnum):
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Float = 'float'
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Int = 'int'
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Bool = 'bool'
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Face = 'face'
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class ShowcaseCfg(BaseModel):
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field: str = Field(frozen=True, strict=True)
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type: ShowcaseCfgType = Field(frozen=True)
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title: str = Field(frozen=True, strict=True)
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desc: str = Field(frozen=True, strict=True)
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default: str = Field(frozen=True, strict=True)
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@model_validator(mode='after')
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def verify_prog_field(self) -> Self:
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validate_programmable_str(self.default)
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return self
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class Showcase(BaseModel):
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title: str = Field(frozen=True, strict=True)
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icon: str = Field(frozen=True, strict=True)
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type: ShowcaseType = Field(frozen=True)
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cfgs: list[ShowcaseCfg] = Field(frozen=True, strict=True)
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class Param(BaseModel):
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field: str = Field(frozen=True, strict=True)
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data: str = Field(frozen=True, strict=True)
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@model_validator(mode='after')
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def verify_prog_field(self) -> Self:
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validate_programmable_str(self.data)
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return self
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class Var(BaseModel):
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field: str = Field(frozen=True, strict=True)
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data: str = Field(frozen=True, strict=True)
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@model_validator(mode='after')
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def verify_prog_field(self) -> Self:
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validate_programmable_str(self.data)
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return self
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class Vertex(BaseModel):
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skip: str = Field(frozen=True, strict=True)
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data: str = Field(frozen=True, strict=True)
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@model_validator(mode='after')
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def verify_prog_field(self) -> Self:
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validate_programmable_str(self.skip)
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validate_programmable_str(self.data)
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return self
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class Face(BaseModel):
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skip: str = Field(frozen=True, strict=True)
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texture: str = Field(frozen=True, strict=True)
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indices: list[int] = Field(frozen=True, strict=True)
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uvs: list[str] = Field(frozen=True, strict=True)
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normals: Optional[list[str]] = Field(frozen=True, strict=True)
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@model_validator(mode='after')
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def verify_count(self) -> Self:
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expected_count = len(self.indices)
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if len(self.uvs) != expected_count:
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raise ValueError('The length of uv array is not matched with indices.')
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if (self.normals is not None) and (len(self.normals) != expected_count):
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raise ValueError('The length of normal array is not matched with indices.')
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return self
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@model_validator(mode='after')
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def verify_prog_field(self) -> Self:
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validate_programmable_str(self.skip)
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validate_programmable_str(self.texture)
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for i in self.uvs:
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validate_programmable_str(i)
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if self.normals is not None:
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for i in self.normals:
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validate_programmable_str(i)
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return self
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class Instance(BaseModel):
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identifier: str = Field(frozen=True, strict=True)
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skip: str = Field(frozen=True, strict=True)
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params: dict[str, str] = Field(frozen=True, strict=True)
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transform: str = Field(frozen=True, strict=True)
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@model_validator(mode='after')
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def verify_prog_field(self) -> Self:
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validate_programmable_str(self.skip)
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for v in self.params.values():
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validate_programmable_str(v)
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validate_programmable_str(self.transform)
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return self
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IDENTIFIERS: set[str] = set()
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class Prototype(BaseModel):
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identifier: str = Field(frozen=True, strict=True)
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showcase: Optional[Showcase] = Field(frozen=True, strict=True)
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params: list[Param] = Field(frozen=True, strict=True)
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skip: str = Field(frozen=True, strict=True)
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vars: list[Var] = Field(frozen=True, strict=True)
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vertices: list[Vertex] = Field(frozen=True, strict=True)
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faces: list[Face] = Field(frozen=True, strict=True)
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instances: list[Instance] = Field(frozen=True, strict=True)
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@model_validator(mode='after')
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def verify_identifier(self) -> Self:
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global IDENTIFIERS
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if self.identifier in IDENTIFIERS:
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raise ValueError(f'Identifier {self.identifier} is already registered.')
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else:
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IDENTIFIERS.add(self.identifier)
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return self
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@model_validator(mode='after')
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def verify_prog_field(self) -> Self:
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validate_programmable_str(self.skip)
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return self
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class Prototypes(RootModel):
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root: list[Prototype] = Field(frozen=True, strict=True)
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#endregion
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def validate_json() -> None:
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raw_json_folder = common.get_root_folder() / 'raw_jsons'
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raw_jsons_dir = common.get_raw_assets_folder(AssetKind.Jsons)
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for json_file in raw_json_folder.rglob('*.json'):
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logging.info(f'Validating {json_file} ...')
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# Load all prototypes and check their basic format
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prototypes: list[bme.Prototype] = []
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for raw_json_file in raw_jsons_dir.glob('*.json'):
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# Skip non-file
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if not raw_json_file.is_file():
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continue
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# Show info
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logging.info(f'Loading {raw_json_file}')
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# Load prototypes
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try:
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with open(json_file, 'r', encoding='utf-8') as f:
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with open(raw_json_file, 'r', encoding='utf-8') as f:
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docuement = json.load(f)
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Prototypes.model_validate(docuement)
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file_prototypes = bme.Prototypes.model_validate(docuement)
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except json.JSONDecodeError as e:
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logging.error(f'Can not load file {json_file}. It may not a valid JSON file. Reason: {e}')
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except ValidationError as e:
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logging.error(f'File {json_file} is not correct. Reason: {e}')
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logging.error(f'File {raw_json_file} is not a valid JSON file. Reason: {e}')
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except pydantic.ValidationError as e:
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logging.error(f'JSON file {raw_json_file} lose essential fields. Detail: {e}')
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# Append all prototypes into list
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prototypes += file_prototypes.root
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# Collect identifier and check identifier first.
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identifiers: set[str] = set()
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for prototype in prototypes:
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identifier = prototype.identifier
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if prototype.identifier in identifiers:
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logging.error(f'Identifier {identifier} is registered more than once.')
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else:
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identifiers.add(identifier)
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# Start custom validation
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for protype in prototypes:
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_validate_prototype(prototype)
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if __name__ == '__main__':
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common.setup_logging()
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