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masque/masque/library/library.py

176 lines
5.6 KiB
Python

"""
Library class for managing unique name->pattern mappings and
deferred loading or creation.
"""
from typing import Dict, Callable, TypeVar, TYPE_CHECKING
from typing import Any, Tuple, Union, Iterator
import logging
from pprint import pformat
import copy
from ..error import LibraryError
if TYPE_CHECKING:
from ..pattern import Pattern
logger = logging.getLogger(__name__)
L = TypeVar('L', bound='Library')
class Library:
"""
This class is usually used to create a library of Patterns by mapping names to
functions which generate or load the relevant `Pattern` object as-needed.
Generated/loaded patterns can have "symbolic" references, where a SubPattern
object `sp` has a `None`-valued `sp.pattern` attribute, in which case the
Library expects `sp.identifier[0]` to contain a string which specifies the
referenced pattern's name.
The cache can be disabled by setting the `enable_cache` attribute to `False`.
"""
generators: Dict[str, Callable[[], 'Pattern']]
cache: Dict[str, 'Pattern']
enable_cache: bool = True
def __init__(self) -> None:
self.generators = {}
self.cache = {}
def __setitem__(self, key: str, value: Callable[[], 'Pattern']) -> None:
self.generators[key] = value
if key in self.cache:
logger.warning(f'Replaced library item "{key}" & existing cache entry.'
' Previously-generated Pattern will *not* be updated!')
del self.cache[key]
def __delitem__(self, key: str) -> None:
del self.generators[key]
if key in self.cache:
logger.warning(f'Deleting library item "{key}" & existing cache entry.'
' Previously-generated Pattern may remain in the wild!')
del self.cache[key]
def __getitem__(self, key: str) -> 'Pattern':
if self.enable_cache and key in self.cache:
logger.debug(f'found {key} in cache')
return self.cache[key]
logger.debug(f'loading {key}')
pat = self.generators[key]()
self.resolve_subpatterns(pat)
self.cache[key] = pat
return pat
def __iter__(self) -> Iterator[str]:
return iter(self.keys())
def __contains__(self, key: str) -> bool:
return key in self.generators
def resolve_subpatterns(self, pat: 'Pattern', tag: str) -> 'Pattern':
logger.debug(f'Resolving subpatterns in {pat.name}')
for sp in pat.subpatterns:
if sp.pattern is not None:
continue
key = sp.identifier[0]
if key in self.generators:
sp.pattern = self[key]
continue
raise LibraryError(f'Broken reference to {key} (tag {tag})')
return pat
def keys(self) -> Iterator[str]:
return iter(self.generators.keys())
def values(self) -> Iterator['Pattern']:
return iter(self[key] for key in self.keys())
def items(self) -> Iterator[Tuple[str, 'Pattern']]:
return iter((key, self[key]) for key in self.keys())
def __repr__(self) -> str:
return '<Library with keys ' + repr(list(self.generators.keys())) + '>'
def precache(self: L) -> L:
"""
Force all patterns into the cache
Returns:
self
"""
for key in self.generators:
_ = self[key]
return self
def add(
self: L,
other: L,
use_ours: Callable[[str], bool] = lambda name: False,
use_theirs: Callable[[str], bool] = lambda name: False,
) -> L:
"""
Add keys from another library into this one.
Args:
other: The library to insert keys from
use_ours: Decision function for name conflicts.
Should return `True` if the value from `self` should be used.
use_theirs: Decision function for name conflicts. Same format as `use_ours`.
Should return `True` if the value from `other` should be used.
`use_ours` takes priority over `use_theirs`.
Returns:
self
"""
duplicates = set(self.keys()) & set(other.keys())
keep_ours = set(name for name in duplicates if use_ours(name))
keep_theirs = set(name for name in duplicates - keep_ours if use_theirs(name))
conflicts = duplicates - keep_ours - keep_theirs
if conflicts:
raise LibraryError('Unresolved duplicate keys encountered in library merge: '
+ pformat(conflicts))
for key in set(other.keys()) - keep_ours:
self[key] = other.generators[key]
if key in other.cache:
self.cache[key] = other.cache[key]
return self
def copy(self, preserve_cache: bool = False) -> 'Library':
"""
Create a copy of this `Library`.
A shallow copy is made of the contained dicts.
Note that you should probably clear the cache (with `clear_cache()`) after copying.
Returns:
A copy of self
"""
new = Library()
new.generators.update(self.generators)
new.cache.update(self.cache)
return new
def clear_cache(self: L) -> L:
"""
Clear the cache of this library.
This is usually used before modifying or deleting cells, e.g. when merging
with another library.
Returns:
self
"""
self.cache = {}
return self
def __deepcopy__(self: L, memo: Optional[Dict] = None) -> L:
raise LibraryError('Library cannot be deepcopied -- python copy.deepcopy() does not copy closures!')