249 lines
9.7 KiB
Python
249 lines
9.7 KiB
Python
import collections
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import math
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from typing import (
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TYPE_CHECKING,
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Dict,
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Iterable,
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Iterator,
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Mapping,
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Sequence,
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TypeVar,
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Union,
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)
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from pip._vendor.resolvelib.providers import AbstractProvider
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from .base import Candidate, Constraint, Requirement
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from .candidates import REQUIRES_PYTHON_IDENTIFIER
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from .factory import Factory
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if TYPE_CHECKING:
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from pip._vendor.resolvelib.providers import Preference
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from pip._vendor.resolvelib.resolvers import RequirementInformation
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PreferenceInformation = RequirementInformation[Requirement, Candidate]
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_ProviderBase = AbstractProvider[Requirement, Candidate, str]
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else:
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_ProviderBase = AbstractProvider
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# Notes on the relationship between the provider, the factory, and the
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# candidate and requirement classes.
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#
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# The provider is a direct implementation of the resolvelib class. Its role
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# is to deliver the API that resolvelib expects.
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#
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# Rather than work with completely abstract "requirement" and "candidate"
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# concepts as resolvelib does, pip has concrete classes implementing these two
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# ideas. The API of Requirement and Candidate objects are defined in the base
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# classes, but essentially map fairly directly to the equivalent provider
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# methods. In particular, `find_matches` and `is_satisfied_by` are
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# requirement methods, and `get_dependencies` is a candidate method.
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#
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# The factory is the interface to pip's internal mechanisms. It is stateless,
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# and is created by the resolver and held as a property of the provider. It is
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# responsible for creating Requirement and Candidate objects, and provides
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# services to those objects (access to pip's finder and preparer).
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D = TypeVar("D")
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V = TypeVar("V")
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def _get_with_identifier(
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mapping: Mapping[str, V],
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identifier: str,
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default: D,
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) -> Union[D, V]:
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"""Get item from a package name lookup mapping with a resolver identifier.
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This extra logic is needed when the target mapping is keyed by package
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name, which cannot be directly looked up with an identifier (which may
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contain requested extras). Additional logic is added to also look up a value
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by "cleaning up" the extras from the identifier.
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"""
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if identifier in mapping:
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return mapping[identifier]
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# HACK: Theoretically we should check whether this identifier is a valid
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# "NAME[EXTRAS]" format, and parse out the name part with packaging or
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# some regular expression. But since pip's resolver only spits out three
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# kinds of identifiers: normalized PEP 503 names, normalized names plus
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# extras, and Requires-Python, we can cheat a bit here.
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name, open_bracket, _ = identifier.partition("[")
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if open_bracket and name in mapping:
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return mapping[name]
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return default
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class PipProvider(_ProviderBase):
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"""Pip's provider implementation for resolvelib.
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:params constraints: A mapping of constraints specified by the user. Keys
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are canonicalized project names.
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:params ignore_dependencies: Whether the user specified ``--no-deps``.
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:params upgrade_strategy: The user-specified upgrade strategy.
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:params user_requested: A set of canonicalized package names that the user
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supplied for pip to install/upgrade.
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"""
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def __init__(
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self,
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factory: Factory,
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constraints: Dict[str, Constraint],
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ignore_dependencies: bool,
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upgrade_strategy: str,
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user_requested: Dict[str, int],
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) -> None:
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self._factory = factory
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self._constraints = constraints
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self._ignore_dependencies = ignore_dependencies
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self._upgrade_strategy = upgrade_strategy
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self._user_requested = user_requested
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self._known_depths: Dict[str, float] = collections.defaultdict(lambda: math.inf)
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def identify(self, requirement_or_candidate: Union[Requirement, Candidate]) -> str:
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return requirement_or_candidate.name
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def get_preference( # type: ignore
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self,
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identifier: str,
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resolutions: Mapping[str, Candidate],
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candidates: Mapping[str, Iterator[Candidate]],
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information: Mapping[str, Iterable["PreferenceInformation"]],
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backtrack_causes: Sequence["PreferenceInformation"],
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) -> "Preference":
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"""Produce a sort key for given requirement based on preference.
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The lower the return value is, the more preferred this group of
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arguments is.
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Currently pip considers the followings in order:
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* Prefer if any of the known requirements is "direct", e.g. points to an
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explicit URL.
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* If equal, prefer if any requirement is "pinned", i.e. contains
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operator ``===`` or ``==``.
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* If equal, calculate an approximate "depth" and resolve requirements
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closer to the user-specified requirements first.
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* Order user-specified requirements by the order they are specified.
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* If equal, prefers "non-free" requirements, i.e. contains at least one
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operator, such as ``>=`` or ``<``.
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* If equal, order alphabetically for consistency (helps debuggability).
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"""
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lookups = (r.get_candidate_lookup() for r, _ in information[identifier])
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candidate, ireqs = zip(*lookups)
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operators = [
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specifier.operator
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for specifier_set in (ireq.specifier for ireq in ireqs if ireq)
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for specifier in specifier_set
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]
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direct = candidate is not None
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pinned = any(op[:2] == "==" for op in operators)
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unfree = bool(operators)
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try:
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requested_order: Union[int, float] = self._user_requested[identifier]
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except KeyError:
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requested_order = math.inf
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parent_depths = (
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self._known_depths[parent.name] if parent is not None else 0.0
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for _, parent in information[identifier]
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)
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inferred_depth = min(d for d in parent_depths) + 1.0
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else:
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inferred_depth = 1.0
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self._known_depths[identifier] = inferred_depth
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requested_order = self._user_requested.get(identifier, math.inf)
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# Requires-Python has only one candidate and the check is basically
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# free, so we always do it first to avoid needless work if it fails.
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requires_python = identifier == REQUIRES_PYTHON_IDENTIFIER
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# HACK: Setuptools have a very long and solid backward compatibility
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# track record, and extremely few projects would request a narrow,
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# non-recent version range of it since that would break a lot things.
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# (Most projects specify it only to request for an installer feature,
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# which does not work, but that's another topic.) Intentionally
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# delaying Setuptools helps reduce branches the resolver has to check.
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# This serves as a temporary fix for issues like "apache-airflow[all]"
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# while we work on "proper" branch pruning techniques.
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delay_this = identifier == "setuptools"
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# Prefer the causes of backtracking on the assumption that the problem
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# resolving the dependency tree is related to the failures that caused
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# the backtracking
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backtrack_cause = self.is_backtrack_cause(identifier, backtrack_causes)
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return (
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not requires_python,
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delay_this,
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not direct,
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not pinned,
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not backtrack_cause,
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inferred_depth,
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requested_order,
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not unfree,
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identifier,
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)
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def find_matches(
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self,
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identifier: str,
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requirements: Mapping[str, Iterator[Requirement]],
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incompatibilities: Mapping[str, Iterator[Candidate]],
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) -> Iterable[Candidate]:
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def _eligible_for_upgrade(identifier: str) -> bool:
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"""Are upgrades allowed for this project?
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This checks the upgrade strategy, and whether the project was one
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that the user specified in the command line, in order to decide
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whether we should upgrade if there's a newer version available.
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(Note that we don't need access to the `--upgrade` flag, because
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an upgrade strategy of "to-satisfy-only" means that `--upgrade`
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was not specified).
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"""
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if self._upgrade_strategy == "eager":
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return True
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elif self._upgrade_strategy == "only-if-needed":
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user_order = _get_with_identifier(
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self._user_requested,
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identifier,
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default=None,
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)
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return user_order is not None
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return False
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constraint = _get_with_identifier(
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self._constraints,
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identifier,
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default=Constraint.empty(),
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)
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return self._factory.find_candidates(
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identifier=identifier,
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requirements=requirements,
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constraint=constraint,
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prefers_installed=(not _eligible_for_upgrade(identifier)),
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incompatibilities=incompatibilities,
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)
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def is_satisfied_by(self, requirement: Requirement, candidate: Candidate) -> bool:
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return requirement.is_satisfied_by(candidate)
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def get_dependencies(self, candidate: Candidate) -> Sequence[Requirement]:
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with_requires = not self._ignore_dependencies
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return [r for r in candidate.iter_dependencies(with_requires) if r is not None]
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@staticmethod
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def is_backtrack_cause(
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identifier: str, backtrack_causes: Sequence["PreferenceInformation"]
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) -> bool:
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for backtrack_cause in backtrack_causes:
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if identifier == backtrack_cause.requirement.name:
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return True
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if backtrack_cause.parent and identifier == backtrack_cause.parent.name:
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return True
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return False
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