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resolvelib
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from pip._vendor.resolvelib.providers import AbstractProvider from pip._internal.utils.typing import MYPY_CHECK_RUNNING from .base import Constraint if MYPY_CHECK_RUNNING: from typing import ( Any, Dict, Iterable, Optional, Sequence, Set, Tuple, Union, ) from .base import Requirement, Candidate from .factory import Factory # Notes on the relationship between the provider, the factory, and the # candidate and requirement classes. # # The provider is a direct implementation of the resolvelib class. Its role # is to deliver the API that resolvelib expects. # # Rather than work with completely abstract "requirement" and "candidate" # concepts as resolvelib does, pip has concrete classes implementing these two # ideas. The API of Requirement and Candidate objects are defined in the base # classes, but essentially map fairly directly to the equivalent provider # methods. In particular, `find_matches` and `is_satisfied_by` are # requirement methods, and `get_dependencies` is a candidate method. # # The factory is the interface to pip's internal mechanisms. It is stateless, # and is created by the resolver and held as a property of the provider. It is # responsible for creating Requirement and Candidate objects, and provides # services to those objects (access to pip's finder and preparer). class PipProvider(AbstractProvider): def __init__( self, factory, # type: Factory constraints, # type: Dict[str, Constraint] ignore_dependencies, # type: bool upgrade_strategy, # type: str user_requested, # type: Set[str] ): # type: (...) -> None self._factory = factory self._constraints = constraints self._ignore_dependencies = ignore_dependencies self._upgrade_strategy = upgrade_strategy self._user_requested = user_requested def identify(self, dependency): # type: (Union[Requirement, Candidate]) -> str return dependency.name def get_preference( self, resolution, # type: Optional[Candidate] candidates, # type: Sequence[Candidate] information # type: Sequence[Tuple[Requirement, Candidate]] ): # type: (...) -> Any transitive = all(parent is not None for _, parent in information) return (transitive, bool(candidates)) def find_matches(self, requirements): # type: (Sequence[Requirement]) -> Iterable[Candidate] if not requirements: return [] name = requirements[0].name def _eligible_for_upgrade(name): # type: (str) -> bool """Are upgrades allowed for this project? This checks the upgrade strategy, and whether the project was one that the user specified in the command line, in order to decide whether we should upgrade if there's a newer version available. (Note that we don't need access to the `--upgrade` flag, because an upgrade strategy of "to-satisfy-only" means that `--upgrade` was not specified). """ if self._upgrade_strategy == "eager": return True elif self._upgrade_strategy == "only-if-needed": return (name in self._user_requested) return False return self._factory.find_candidates( requirements, constraint=self._constraints.get(name, Constraint.empty()), prefers_installed=(not _eligible_for_upgrade(name)), ) def is_satisfied_by(self, requirement, candidate): # type: (Requirement, Candidate) -> bool return requirement.is_satisfied_by(candidate) def get_dependencies(self, candidate): # type: (Candidate) -> Sequence[Requirement] with_requires = not self._ignore_dependencies return [ r for r in candidate.iter_dependencies(with_requires) if r is not None ]
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