# Copyright (C) 2012 Anaconda, Inc # SPDX-License-Identifier: BSD-3-Clause """ Pluggy hook specifications ("hookspecs") to register conda plugins. Each hookspec defined in :class:`~conda.plugins.hookspec.CondaSpecs` contains an example of how to use it. """ from __future__ import annotations from typing import TYPE_CHECKING import pluggy from ..base.constants import APP_NAME from ..deprecations import deprecated if TYPE_CHECKING: from collections.abc import Iterable from .types import ( CondaAuthHandler, CondaEnvironmentExporter, CondaEnvironmentSpecifier, CondaHealthCheck, CondaPackageExtractor, CondaPostCommand, CondaPostSolve, CondaPostTransactionAction, CondaPreCommand, CondaPrefixDataLoader, CondaPreSolve, CondaPreTransactionAction, CondaReporterBackend, CondaRequestHeader, CondaSetting, CondaSolver, CondaSubcommand, CondaVirtualPackage, ) deprecated.constant( "26.3", "26.9", "spec_name", APP_NAME, addendum="Use `conda.base.constants.APP_NAME` instead.", ) _hookspec = pluggy.HookspecMarker(APP_NAME) """Decorator to mark conda plugin hook specifications, used to register plugin hook types.""" hookimpl = pluggy.HookimplMarker(APP_NAME) """Decorator to mark plugin hook implementations, used to register plugins.""" class CondaSpecs: """Collection of all supported conda plugin hookspecs.""" @_hookspec def conda_solvers(self) -> Iterable[CondaSolver]: """ Register solvers in conda. **Example:** .. code-block:: python import logging from conda import plugins from conda.core import solve log = logging.getLogger(__name__) class VerboseSolver(solve.Solver): def solve_final_state(self, *args, **kwargs): log.info("My verbose solver!") return super().solve_final_state(*args, **kwargs) @plugins.hookimpl def conda_solvers(): yield plugins.types.CondaSolver( name="verbose-classic", backend=VerboseSolver, ) :return: An iterable of solver entries. """ yield from () @_hookspec def conda_subcommands(self) -> Iterable[CondaSubcommand]: """ Register external subcommands in conda. **Example:** .. code-block:: python from conda import plugins def example_command(args): print("This is an example command!") @plugins.hookimpl def conda_subcommands(): yield plugins.types.CondaSubcommand( name="example", summary="example command", action=example_command, ) :return: An iterable of subcommand entries. """ yield from () @_hookspec def conda_virtual_packages(self) -> Iterable[CondaVirtualPackage]: """ Register virtual packages in Conda. **Example:** .. code-block:: python from conda import plugins @plugins.hookimpl def conda_virtual_packages(): yield plugins.types.CondaVirtualPackage( name="my_custom_os", version="1.2.3", build="x86_64", ) :return: An iterable of virtual package entries. """ yield from () @_hookspec def conda_pre_commands(self) -> Iterable[CondaPreCommand]: """ Register pre-command functions in conda. **Example:** .. code-block:: python from conda import plugins def example_pre_command(command): print("pre-command action") @plugins.hookimpl def conda_pre_commands(): yield plugins.types.CondaPreCommand( name="example-pre-command", action=example_pre_command, run_for={"install", "create"}, ) """ yield from () @_hookspec def conda_post_commands(self) -> Iterable[CondaPostCommand]: """ Register post-command functions in conda. **Example:** .. code-block:: python from conda import plugins def example_post_command(command): print("post-command action") @plugins.hookimpl def conda_post_commands(): yield plugins.types.CondaPostCommand( name="example-post-command", action=example_post_command, run_for={"install", "create"}, ) """ yield from () @_hookspec def conda_auth_handlers(self) -> Iterable[CondaAuthHandler]: """ Register a conda auth handler derived from the requests API. This plugin hook allows attaching requests auth handler subclasses, e.g. when authenticating requests against individual channels hosted at HTTP/HTTPS services. **Example:** .. code-block:: python import os from conda import plugins from requests.auth import AuthBase class EnvironmentHeaderAuth(AuthBase): def __init__(self, *args, **kwargs): self.username = os.environ["EXAMPLE_CONDA_AUTH_USERNAME"] self.password = os.environ["EXAMPLE_CONDA_AUTH_PASSWORD"] def __call__(self, request): request.headers["X-Username"] = self.username request.headers["X-Password"] = self.password return request @plugins.hookimpl def conda_auth_handlers(): yield plugins.types.CondaAuthHandler( name="environment-header-auth", handler=EnvironmentHeaderAuth, ) """ yield from () @_hookspec def conda_health_checks(self) -> Iterable[CondaHealthCheck]: """ Register health checks for conda doctor. This plugin hook allows you to add more "health checks" to conda doctor that you can write to diagnose problems in your conda environment. Check out the health checks already shipped with conda for inspiration. Health checks can optionally provide a ``fixer`` callable that is invoked via ``conda doctor --fix`` or ``conda doctor --fix ``. **Example (check only):** .. code-block:: python from conda import plugins def example_health_check(prefix: str, verbose: bool): print("This is an example health check!") @plugins.hookimpl def conda_health_checks(): yield plugins.types.CondaHealthCheck( name="example-health-check", action=example_health_check, ) **Example (check with fix):** .. code-block:: python from conda import plugins def my_health_check(prefix: str, verbose: bool): # Check and report issues print("Checking for issues...") def my_health_fix(prefix: str, args) -> int: # Fix the issues print("Fixing issues...") return 0 # exit code @plugins.hookimpl def conda_health_checks(): yield plugins.CondaHealthCheck( name="my-check", action=my_health_check, fixer=my_health_fix, summary="Check for common issues", fix="Repair detected issues", ) :return: An iterable of health check entries. """ yield from () @_hookspec def conda_pre_transaction_actions(self) -> Iterable[CondaPreTransactionAction]: """Register pre-transaction hooks. Pre-transaction hooks run before all other actions run in a UnlinkLinkTransaction. For information about the Action class, see :class:`~conda.core.path_actions.Action`. **Example:** .. code-block:: python from conda import plugins from conda.plugins.types import CondaPreTransactionAction from conda.core.path_actions import Action class PrintAction(Action): def verify(self): print("Performing verification...") self._verified = True def execute(self): print( self.transaction_context, self.target_prefix, self.unlink_precs, self.link_precs, self.remove_specs, self.update_specs, self.neutered_specs, ) def reverse(self): print("Reversing only happens when `execute` raises an exception.") def cleanup(self): print("Carrying out cleanup...") class PrintActionPlugin: @plugins.hookimpl def conda_pre_transaction_actions( self, ) -> Iterable[CondaPreTransactionAction]: yield CondaPreTransactionAction( name="example-pre-transaction-action", action=PrintAction, ) """ yield from () @_hookspec def conda_post_transaction_actions(self) -> Iterable[CondaPostTransactionAction]: """Register post-transaction hooks. Post-transaction hooks run after all other actions run in a UnlinkLinkTransaction. For information about the Action class, see :class:`~conda.core.path_actions.Action`. **Example:** .. code-block:: python from conda import plugins from conda.plugins.types import CondaPostTransactionAction from conda.core.path_actions import Action class PrintAction(Action): def verify(self): print("Performing verification...") self._verified = True def execute(self): print( self.transaction_context, self.target_prefix, self.unlink_precs, self.link_precs, self.remove_specs, self.update_specs, self.neutered_specs, ) def reverse(self): print("Reversing only happens when `execute` raises an exception.") def cleanup(self): print("Carrying out cleanup...") class PrintActionPlugin: @plugins.hookimpl def conda_post_transaction_actions( self, ) -> Iterable[CondaPostTransactionAction]: yield CondaPostTransactionAction( name="example-post-transaction-action", action=PrintAction, ) """ yield from () @_hookspec def conda_pre_solves(self) -> Iterable[CondaPreSolve]: """ Register pre-solve functions in conda that are used in the general solver API, before the solver processes the package specs in search of a solution. **Example:** .. code-block:: python from conda import plugins from conda.models.match_spec import MatchSpec def example_pre_solve( specs_to_add: frozenset[MatchSpec], specs_to_remove: frozenset[MatchSpec], ): print(f"Adding {len(specs_to_add)} packages") print(f"Removing {len(specs_to_remove)} packages") @plugins.hookimpl def conda_pre_solves(): yield plugins.types.CondaPreSolve( name="example-pre-solve", action=example_pre_solve, ) """ yield from () @_hookspec def conda_post_solves(self) -> Iterable[CondaPostSolve]: """ Register post-solve functions in conda that are used in the general solver API, after the solver has provided the package records to add or remove from the conda environment. **Example:** .. code-block:: python from conda import plugins from conda.models.records import PackageRecord def example_post_solve( repodata_fn: str, unlink_precs: tuple[PackageRecord, ...], link_precs: tuple[PackageRecord, ...], ): print(f"Uninstalling {len(unlink_precs)} packages") print(f"Installing {len(link_precs)} packages") @plugins.hookimpl def conda_post_solves(): yield plugins.types.CondaPostSolve( name="example-post-solve", action=example_post_solve, ) """ yield from () @_hookspec def conda_settings(self) -> Iterable[CondaSetting]: """ Register new setting The example below defines a simple string type parameter **Example:** .. code-block:: python from conda import plugins from conda.common.configuration import PrimitiveParameter, SequenceParameter @plugins.hookimpl def conda_settings(): yield plugins.types.CondaSetting( name="example_option", description="This is an example option", parameter=PrimitiveParameter("default_value", element_type=str), aliases=("example_option_alias",), ) """ yield from () @_hookspec def conda_reporter_backends(self) -> Iterable[CondaReporterBackend]: """ Register new reporter backend The example below defines a reporter backend that uses the ``pprint`` module in Python. **Example:** .. code-block:: python from pprint import pformat from conda import plugins from conda.plugins.types import ( CondaReporterBackend, ReporterRendererBase, ProgressBarBase, ) class PprintReporterRenderer(ReporterRendererBase): "Implementation of the ReporterRendererBase" def detail_view(self, data): return pformat(data) def envs_list(self, data): formatted_data = pformat(data) return f"Environments: {formatted_data}" def progress_bar(self, description, io_context_manager) -> ProgressBarBase: "Returns our custom progress bar implementation" return PprintProgressBar(description, io_context_manager) class PprintProgressBar(ProgressBarBase): "Blank implementation of ProgressBarBase which does nothing" def update_to(self, fraction) -> None: pass def refresh(self) -> None: pass def close(self) -> None: pass @plugins.hookimpl def conda_reporter_backends(): yield CondaReporterBackend( name="pprint", description="Reporter backend based on the pprint module", renderer=PprintReporterRenderer, ) """ yield from () @_hookspec def conda_session_headers(self, host: str) -> Iterable[CondaRequestHeader]: """ Register new HTTP request headers The example below defines how to add HTTP headers for all requests with the hostname of ``example.com``. **Example:** .. code-block:: python from conda import plugins HOSTS = {"example.com", "sub.example.com"} @plugins.hookimpl def conda_session_headers(host: str): if host in HOSTS: yield plugins.types.CondaRequestHeader( name="Example-Header", value="example", ) """ yield from () @_hookspec def conda_request_headers( self, host: str, path: str ) -> Iterable[CondaRequestHeader]: """ Register new HTTP request headers The example below defines how to add HTTP headers for all requests with the hostname of ``example.com`` and a ``path/to/endpoint.json`` path. **Example:** .. code-block:: python from conda import plugins HOSTS = {"example.com", "sub.example.com"} ENDPOINT = "/path/to/endpoint.json" @plugins.hookimpl def conda_request_headers(host: str, path: str): if host in HOSTS and path == ENDPOINT: yield plugins.types.CondaRequestHeader( name="Example-Header", value="example", ) """ yield from () @_hookspec def conda_prefix_data_loaders() -> Iterable[CondaPrefixDataLoader]: """ Register new loaders for PrefixData The example below defines how to expose the packages installed by a hypothetical 'penguin' tool as conda packages. **Example:** .. code-block:: python from pathlib import Path from conda import plugins from conda.common.path import PathType from conda.models.records import PrefixRecord from conda.plugins.types import CondaPrefixDataLoader @plugins.hookimpl def conda_prefix_data_loaders(): yield CondaPrefixDataLoader( "hypothetical", load_hypothetical_packages, ) def load_hypothetical_packages( prefix: PathType, records: dict[str, PrefixRecord] ) -> dict[str, PrefixRecord]: penguin_records = {} for info in Path(prefix).glob("lib/penguin/*.penguin-info"): name, version = info.name.rsplit("-", 1) kwargs = {} # retrieve extra fields here penguin_records[name] = PrefixRecord( name=name, version=version, build_number=0, build="0", **kwargs ) records.update(penguin_records) return penguin_records """ yield from () @_hookspec def conda_environment_specifiers(self) -> Iterable[CondaEnvironmentSpecifier]: """ **EXPERIMENTAL** Register new conda env spec type The example below defines a type of conda env file called "random". It can parse a file with the file extension `.random`. This plugin will ignore whatever is in the input environment file and produce an environment with a random name and with random packages. **Example:** .. code-block:: python import json import random from pathlib import Path from subprocess import run from conda import plugins from ...plugins.types import EnvironmentSpecBase from conda.env.env import Environment packages = ["python", "numpy", "scipy", "matplotlib", "pandas", "scikit-learn"] class RandomSpec(EnvironmentSpecBase): extensions = {".random"} def __init__(self, filename: str): self.filename = filename def can_handle(self): # Return early if no filename was provided if self.filename is None: return False # Extract the file extension (e.g., '.txt' or '' if no extension) file_ext = os.path.splitext(self.filename)[1] # Check if the file has a supported extension and exists return any( spec_ext == file_ext and os.path.exists(self.filename) for spec_ext in RandomSpec.extensions ) def env(self): return Environment( name="".join(random.choice("0123456789abcdef") for i in range(6)), dependencies=[random.choice(packages) for i in range(6)], ) @plugins.hookimpl def conda_environment_specifiers(): yield plugins.CondaEnvSpec( name="random", environment_spec=RandomSpec, ) """ yield from () @_hookspec def conda_environment_exporters(self) -> Iterable[CondaEnvironmentExporter]: """ Register new conda environment exporter Environment exporters serialize conda Environment objects to different output formats (JSON, TOML, XML, etc.) for the 'conda export' command. This is separate from environment specifiers which parse input files. **Example:** .. code-block:: python import tomlkit from conda import plugins from conda.exceptions import CondaValueError from conda.models.environment import Environment from conda.plugins.types import CondaEnvironmentExporter def export_toml(env: Environment) -> str: # Export Environment to TOML format # For formats that use the standard dictionary structure, # you can use the shared utility: from conda.plugins.environment_exporters.standard import to_dict env_dict = to_dict(env) # Create TOML document toml_doc = tomlkit.document() if env_dict.get("name"): toml_doc["name"] = env_dict["name"] if env_dict.get("channels"): toml_doc["channels"] = env_dict["channels"] if env_dict.get("dependencies"): toml_doc["dependencies"] = env_dict["dependencies"] if env_dict.get("variables"): toml_doc["variables"] = env_dict["variables"] return tomlkit.dumps(toml_doc) @plugins.hookimpl def conda_environment_exporters(): yield CondaEnvironmentExporter( name="environment-toml", aliases=("toml",), default_filenames=("environment.toml",), export=export_toml, ) """ yield from () @_hookspec def conda_package_extractors(self) -> Iterable[CondaPackageExtractor]: """ Register package extractors for different archive formats. Package extractors handle the unpacking of package archives. Each extractor specifies which file extensions it supports (e.g., ``.conda``, ``.tar.bz2``) and provides an extraction function that takes the source archive path and destination directory. **Example:** .. code-block:: python from conda import plugins from conda.common.path import PathType def extract_custom(source_path: PathType, destination_directory: PathType) -> None: # Custom extraction logic for a hypothetical package format ... @plugins.hookimpl def conda_package_extractors(): yield plugins.types.CondaPackageExtractor( name="custom-package", extensions=[".custom"], extract=extract_custom, ) :return: An iterable of :class:`~conda.plugins.types.CondaPackageExtractor` entries. """ yield from ()