Files
python/bin/data.py
2021-05-12 08:55:22 -07:00

287 lines
7.0 KiB
Python

from enum import Enum
from dataclasses import dataclass, asdict
from itertools import chain
import json
from pathlib import Path
import toml
from typing import List, Any, Dict
@dataclass
class TrackStatus:
concept_exercises: bool = False
test_runner: bool = False
representer: bool = False
analyzer: bool = False
class IndentStyle(str, Enum):
Space = "space"
Tab = "tab"
@dataclass
class TestRunnerSettings:
average_run_time: float = -1
@dataclass
class EditorSettings:
indent_style: IndentStyle = IndentStyle.Space
indent_size: int = 4
ace_editor_language: str = "python"
highlightjs_language: str = "python"
def __post_init__(self):
if isinstance(self.indent_style, str):
self.indent_style = IndentStyle(self.indent_style)
class ExerciseStatus(str, Enum):
Active = "active"
WIP = "wip"
Beta = "beta"
Deprecated = "deprecated"
@dataclass
class ExerciseFiles:
solution: List[str]
test: List[str]
exemplar: List[str] = None
# practice exercises are different
example: List[str] = None
def __post_init__(self):
if self.exemplar is None:
if self.example is None:
raise ValueError(
"exercise config must have either files.exemplar or files.example"
)
else:
self.exemplar = self.example
delattr(self, "example")
elif self.example is not None:
raise ValueError(
"exercise config must have either files.exemplar or files.example, but not both"
)
@dataclass
class ExerciseConfig:
files: ExerciseFiles
authors: List[str] = None
forked_from: str = None
contributors: List[str] = None
language_versions: List[str] = None
source: str = None
source_url: str = None
blurb: str = None
def __post_init__(self):
if isinstance(self.files, dict):
self.files = ExerciseFiles(**self.files)
for attr in ["authors", "contributors", "language_versions"]:
if getattr(self, attr) is None:
setattr(self, attr, [])
@classmethod
def load(cls, config_file: Path) -> "ExerciseConfig":
with config_file.open() as f:
return cls(**json.load(f))
@dataclass
class ExerciseInfo:
path: Path
slug: str
name: str
uuid: str
prerequisites: List[str]
type: str = "practice"
status: ExerciseStatus = ExerciseStatus.Active
# concept only
concepts: List[str] = None
# practice only
difficulty: int = 1
topics: List[str] = None
practices: List[str] = None
def __post_init__(self):
if self.concepts is None:
self.concepts = []
if self.topics is None:
self.topics = []
if self.practices is None:
self.practices = []
if isinstance(self.status, str):
self.status = ExerciseStatus(self.status)
@property
def solution_stub(self):
return next(
(
p
for p in self.path.glob("*.py")
if not p.name.endswith("_test.py") and p.name != "example.py"
),
None,
)
@property
def test_file(self):
return next(self.path.glob("*_test.py"), None)
@property
def meta_dir(self):
return self.path / ".meta"
@property
def exemplar_file(self):
if self.type == "concept":
return self.meta_dir / "exemplar.py"
return self.meta_dir / "example.py"
@property
def template_path(self):
return self.meta_dir / "template.j2"
@property
def config_file(self):
return self.meta_dir / "config.json"
def load_config(self) -> ExerciseConfig:
return ExerciseConfig.load(self.config_file)
@dataclass
class Exercises:
concept: List[ExerciseInfo]
practice: List[ExerciseInfo]
foregone: List[str] = None
def __post_init__(self):
if self.foregone is None:
self.foregone = []
for attr_name in ["concept", "practice"]:
base_path = Path("exercises") / attr_name
setattr(
self,
attr_name,
[
(
ExerciseInfo(path=(base_path / e["slug"]), type=attr_name, **e)
if isinstance(e, dict)
else e
)
for e in getattr(self, attr_name)
],
)
def all(self, status_filter={ExerciseStatus.Active, ExerciseStatus.Beta}):
return [
e for e in chain(self.concept, self.practice) if e.status in status_filter
]
@dataclass
class Concept:
uuid: str
slug: str
name: str
@dataclass
class Feature:
title: str
content: str
icon: str
@dataclass
class FilePatterns:
solution: List[str]
test: List[str]
example: List[str]
exemplar: List[str]
@dataclass
class Config:
language: str
slug: str
active: bool
status: TrackStatus
blurb: str
version: int
online_editor: EditorSettings
exercises: Exercises
concepts: List[Concept]
key_features: List[Feature] = None
tags: List[Any] = None
test_runner: TestRunnerSettings = None
files: FilePatterns = None
def __post_init__(self):
if isinstance(self.status, dict):
self.status = TrackStatus(**self.status)
if isinstance(self.online_editor, dict):
self.online_editor = EditorSettings(**self.online_editor)
if isinstance(self.test_runner, dict):
self.test_runner = TestRunnerSettings(**self.test_runner)
if isinstance(self.exercises, dict):
self.exercises = Exercises(**self.exercises)
if isinstance(self.files, dict):
self.files = FilePatterns(**self.files)
self.concepts = [
(Concept(**c) if isinstance(c, dict) else c) for c in self.concepts
]
if self.key_features is None:
self.key_features = []
if self.tags is None:
self.tags = []
@classmethod
def load(cls, path="config.json"):
try:
with Path(path).open() as f:
return cls(**json.load(f))
except IOError:
print(f"FAIL: {path} file not found")
raise SystemExit(1)
@dataclass
class TestCaseTOML:
uuid: str
description: str
include: bool = True
comment: str = ''
@dataclass
class TestsTOML:
cases: Dict[str, TestCaseTOML]
@classmethod
def load(cls, toml_path: Path):
with toml_path.open() as f:
data = toml.load(f)
return cls({uuid: TestCaseTOML(uuid, *opts) for uuid, opts in data.items()})
if __name__ == "__main__":
class CustomEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, Path):
return str(obj)
return json.JSONEncoder.default(self, obj)
config = Config.load()
print(json.dumps(asdict(config), cls=CustomEncoder, indent=2))