SciFEM-Project_CoffeeMugSim.../preCICE_tools/tests/metadata_parser/metdata.py
2026-01-26 16:14:46 +01:00

443 lines
12 KiB
Python

from dataclasses import dataclass, field
from pathlib import Path
from typing import List, Tuple, Optional, Dict
import glob
import yaml
import itertools
from paths import PRECICE_TESTS_DIR, PRECICE_TUTORIAL_DIR
@dataclass
class BuildArgument:
"""Represents a BuildArgument needed to run the docker container"""
description: str
"""The description of the parameter."""
key: str
"""The name of the parameter."""
value_options: Optional[list] = None
"""The optinal list of value options for the parameter. If none is suplied all values are accepted"""
default: Optional[str] = None
"""The default value for the parameter."""
@property
def required(self) -> bool:
"""
Check if the BuildArgument need to be supplied via CommandLineArgs
Returns:
bool: True if the parameter is required, False otherwise.
"""
return False if self.default else True
def __eq__(self, other) -> bool:
if isinstance(other, BuildArgument):
return self.key == other.key
return False
def __hash__(self) -> int:
return hash(self.key)
def __repr__(self) -> str:
return f"{self.key}"
class BuildArguments:
"""Represents a collection of build_arguments used to built the docker images."""
def __init__(self, arguments: List[BuildArgument]):
self.arguments = arguments
@classmethod
def from_components_yaml(cls, data):
"""
Create a list of Paramters from the components YAML data.
Args:
data: The components YAML data.
"""
arguments = []
for argument_name, argument_dict in data['build_arguments'].items():
# TODO maybe **params
description = argument_dict.get(
'description', f"No description provided for {argument_name}")
key = argument_name
default = argument_dict.get('default', None)
value_options = argument_dict.get('value_options', None)
arguments.append(BuildArgument(
description, key, value_options, default))
return cls(arguments)
def __iter__(self):
return iter(self.arguments)
def __getitem__(self, index):
return self.arguments[index]
def __setitem__(self, index, value):
self.arguments[index] = value
def __len__(self):
return len(self.arguments)
def __repr__(self) -> str:
return f"{self.arguments}"
@dataclass
class Component:
"""
Represents a component like e.g the openfoam-adapter
"""
name: str
template: str
repository: str
parameters: BuildArguments
def __eq__(self, other):
if isinstance(other, Component):
return self.name == other.name
return False
def __repr__(self) -> str:
return f"{self.name}"
class Components(list):
"""
Represents the collection of components read in from the components.yaml
"""
def __init__(self, components: List[Component]):
self.components = components
@classmethod
def from_yaml(cls, path):
"""
Creates a Components instance from a YAML file.
Args:
path: The path to the YAML file.
Returns:
An instance of Components.
"""
components = []
with open(path, 'r') as f:
data = yaml.safe_load(f)
for component_name in data:
parameters = BuildArguments.from_components_yaml(
data[component_name])
repository = data[component_name]["repository"]
template = data[component_name]["template"]
components.append(
Component(component_name, template, repository, parameters))
return cls(components)
def __iter__(self):
return iter(self.components)
def __getitem__(self, index):
return self.components[index]
def __setitem__(self, index, value):
self.components[index] = value
def __len__(self):
return len(self.components)
def get_by_name(self, name_to_search):
"""
Retrieves a component by its name.
Args:
name_to_search: The name of the component to search for.
Returns:
The component with the specified name, or None if not found.
"""
for component in self.components:
if component.name == name_to_search:
return component
return None
@dataclass
class Participant:
"""Represents a participant in a coupled simulation"""
name: str
"""The name of the participant."""
def __eq__(self, other) -> bool:
if isinstance(other, Participant):
return self.name == other.name
return False
def __repr__(self) -> str:
return f"{self.name}"
# Forward declaration of tutorial
class Tutorial:
pass
@dataclass
class Case:
"""
Represents a case inside of a tutorial.
"""
name: str
participant: str
path: Path
run_cmd: str
tutorial: Tutorial = field(init=False)
component: Component
def __post_init__(self):
"""
Performs sanity checks after initializing the Case instance.
"""
if not self.component:
raise Exception(
f'Tried to instantiate the case {self.name} but failed. Reason: Could not find the component it uses in the components.yaml file.')
@classmethod
def from_dict(cls, name, dict, available_components):
"""
Creates a Case instance from a the tutorial yaml dict.
Args:
name: The name of the case.
dict: The dictionary containing the case data.
available_components: Components read from the components.yaml file
Returns:
An instance of the Case but without the tutorial set, this needs to be done later
"""
participant = dict["participant"]
path = Path(dict["directory"])
run_cmd = dict["run"]
component = available_components.get_by_name(dict["component"])
return cls(name, participant, path, run_cmd, component)
def __repr__(self) -> str:
return f"{self.name}"
def __hash__(self) -> int:
return hash(f"{self.name,self.participant,self.component,self.tutorial}")
def __eq__(self, other) -> bool:
if isinstance(other, Case):
return (
self.name == other.name) and (
self.participant == other.participant) and (
self.component == other.component) and (
self.tutorial == other.tutorial)
return False
@dataclass
class CaseCombination:
"""Represents a case combination able to run the tutorial"""
cases: Tuple[Case]
tutorial: Tutorial
def __eq__(self, other) -> bool:
if isinstance(other, CaseCombination):
return set(self.cases) == set(other.cases)
return False
def __repr__(self) -> str:
return f"{self.cases}"
@classmethod
def from_string_list(cls, case_names: List[str], tutorial: Tutorial):
cases = []
for case_name in case_names:
cases.append(tutorial.get_case_by_string(case_name))
return cls(tuple(cases), tutorial)
@classmethod
def from_cases_tuple(cls, cases: Tuple[Case], tutorial: Tutorial):
return cls(cases, tutorial)
@dataclass
class ReferenceResult:
path: Path
case_combination: CaseCombination
def __repr__(self) -> str:
return f"{self.path.as_posix()}"
def __post_init__(self):
# built full path
self.path = PRECICE_TUTORIAL_DIR / self.path
@dataclass
class Tutorial:
"""
Represents a tutorial with various attributes and methods.
"""
name: str
path: Path
url: str
participants: List[str]
cases: List[Case]
case_combinations: List[CaseCombination] = field(init=False)
def __post_init__(self):
for case in self.cases:
case.tutorial = self
# get all case combinations
def get_all_possible_case_combinations(tutorial: Tutorial):
case_combinations = []
cases_dict = {}
for participant in tutorial.participants:
cases_dict[participant] = []
for case in tutorial.cases:
cases_dict[case.participant].append(case)
for combination in itertools.product(*[cases_dict[participant] for participant in tutorial.participants]):
case_combinations.append(CaseCombination.from_cases_tuple(combination, self))
return case_combinations
self.case_combinations = get_all_possible_case_combinations(self)
def __eq__(self, other) -> bool:
if isinstance(other, Tutorial):
return (self.name == other.name) and (self.path == other.path)
return False
def __hash__(self) -> int:
return hash(self.path)
def __repr__(self) -> str:
"""
Returns a string representation of the Tutorial.
"""
return f"""\n{self.name}:
Path: {self.path}
URL: {self.url}
Participants: {self.participants}
Cases: {self.cases}
"""
def get_case_by_string(self, case_name: str) -> Optional[Case]:
"""
Retrieves Optional case based on the case_name
Args:
case_name: the name of the case in search
Returns:
Either None or a Case mathing the casename
"""
for case in self.cases:
if case.name == case_name:
return case
return None
@classmethod
def from_yaml(cls, path, available_components):
"""
Creates a Tutorial instance from a YAML file.
Args:
path: The path to the YAML file.
available_components: The Components instance containing available components.
Returns:
An instance of Tutorial.
"""
with open(path, 'r') as f:
data = yaml.safe_load(f)
name = data['name']
path = PRECICE_TUTORIAL_DIR / data['path']
url = data['url']
participants = data.get('participants', [])
cases_raw = data.get('cases', {})
cases = []
for case_name in cases_raw.keys():
cases.append(Case.from_dict(
case_name, cases_raw[case_name], available_components))
return cls(name, path, url, participants, cases)
class Tutorials(list):
"""
Represents a collection of tutorials.
"""
def __iter__(self):
return iter(self.tutorials)
def __getitem__(self, index):
return self.tutorials[index]
def __setitem__(self, index, value):
self.tutorials[index] = value
def __len__(self):
return len(self.tutorials)
def __init__(self, tutorials: List[Tutorial]):
"""
Initializes the Tutorials instance with a base path and a list of tutorials.
Args:
path: The path to the folder containing the tutorial folders.
tutorials: The list of tutorials.
"""
self.tutorials = tutorials
def get_by_path(self, relative_path: str) -> Optional[Tutorial]:
"""
Retrieves a Tutorial by its relative path.
Args:
path_to_search: The path of the Tutorial to search for.
Returns:
The Tutorial with the specified path, or None if not found.
"""
for tutorial in self.tutorials:
if tutorial.path.name == relative_path:
return tutorial
return None
@classmethod
def from_path(cls, path):
"""
Read ins all the metadata.yaml files available in path/*/metadata.yaml
Args:
path: The path containing the tutorial folders
"""
yaml_files = glob.glob(f'{path}/*/metadata.yaml')
tutorials = []
available_components = Components.from_yaml(
PRECICE_TESTS_DIR / "components.yaml")
for yaml_path in yaml_files:
tut = Tutorial.from_yaml(yaml_path, available_components)
tutorials.append(tut)
return cls(tutorials)