Python JvmPlatform.global_instance方法代码示例

# 需要导入模块: from pants.backend.jvm.subsystems.jvm_platform import JvmPlatform [as 别名]
# 或者: from pants.backend.jvm.subsystems.jvm_platform.JvmPlatform import global_instance [as 别名]
  def platform(self):
    """Platform associated with this target.

    :return: The jvm platform object.
    :rtype: JvmPlatformSettings
    """
    return JvmPlatform.global_instance().get_platform_for_target(self)

# 需要导入模块: from pants.backend.jvm.subsystems.jvm_platform import JvmPlatform [as 别名]
# 或者: from pants.backend.jvm.subsystems.jvm_platform.JvmPlatform import global_instance [as 别名]
  def execute(self):
    if JvmPlatform.global_instance().get_options().compiler != self.compiler_name:
      # If the requested compiler is not the one supported by this task,
      # bail early.
      return

    # In case we have no relevant targets and return early, create the requested product maps.
    self.create_empty_extra_products()

    relevant_targets = list(self.context.targets(predicate=self.select))

    if not relevant_targets:
      return

    # Clone the compile_classpath to the runtime_classpath.
    classpath_product = self.create_runtime_classpath()

    fingerprint_strategy = DependencyContext.global_instance().create_fingerprint_strategy(
        classpath_product)
    # Note, JVM targets are validated (`vts.update()`) as they succeed.  As a result,
    # we begin writing artifacts out to the cache immediately instead of waiting for
    # all targets to finish.
    with self.invalidated(relevant_targets,
                          invalidate_dependents=True,
                          fingerprint_strategy=fingerprint_strategy,
                          topological_order=True) as invalidation_check:

      compile_contexts = {vt.target: self.create_compile_context(vt.target, vt.results_dir)
                          for vt in invalidation_check.all_vts}

      self.do_compile(
        invalidation_check,
        compile_contexts,
        classpath_product,
      )

      if not self.get_options().use_classpath_jars:
        # Once compilation has completed, replace the classpath entry for each target with
        # its jar'd representation.
        for ccs in compile_contexts.values():
          cc = self.select_runtime_context(ccs)
          for conf in self._confs:
            classpath_product.remove_for_target(cc.target, [(conf, cc.classes_dir.path)])
            classpath_product.add_for_target(cc.target, [(conf, cc.jar_file.path)])

# 需要导入模块: from pants.backend.jvm.subsystems.jvm_platform import JvmPlatform [as 别名]
# 或者: from pants.backend.jvm.subsystems.jvm_platform.JvmPlatform import global_instance [as 别名]

#.........这里部分代码省略.........
        interpreter_for_target = self.select_interpreter_for_targets([current_target])
        if interpreter_for_target is None:
          raise TaskError('Unable to find suitable interpreter for {}'
                          .format(current_target.address))
        python_interpreter_targets_mapping[interpreter_for_target].append(current_target)
        info['python_interpreter'] = str(interpreter_for_target.identity)

      def iter_transitive_jars(jar_lib):
        """
        :type jar_lib: :class:`pants.backend.jvm.targets.jar_library.JarLibrary`
        :rtype: :class:`collections.Iterator` of
                :class:`pants.backend.jvm.jar_dependency_utils.M2Coordinate`
        """
        if classpath_products:
          jar_products = classpath_products.get_artifact_classpath_entries_for_targets((jar_lib,))
          for _, jar_entry in jar_products:
            coordinate = jar_entry.coordinate
            # We drop classifier and type_ since those fields are represented in the global
            # libraries dict and here we just want the key into that dict (see `_jar_id`).
            yield M2Coordinate(org=coordinate.org, name=coordinate.name, rev=coordinate.rev)

      target_libraries = OrderedSet()
      if isinstance(current_target, JarLibrary):
        target_libraries = OrderedSet(iter_transitive_jars(current_target))
      for dep in current_target.dependencies:
        info['targets'].append(dep.address.spec)
        if isinstance(dep, JarLibrary):
          for jar in dep.jar_dependencies:
            target_libraries.add(M2Coordinate(jar.org, jar.name, jar.rev))
          # Add all the jars pulled in by this jar_library
          target_libraries.update(iter_transitive_jars(dep))
        if isinstance(dep, Resources):
          resource_target_map[dep] = current_target

      if isinstance(current_target, ScalaLibrary):
        for dep in current_target.java_sources:
          info['targets'].append(dep.address.spec)
          process_target(dep)

      if isinstance(current_target, JvmTarget):
        info['excludes'] = [self._exclude_id(exclude) for exclude in current_target.excludes]
        info['platform'] = current_target.platform.name

      info['roots'] = map(lambda (source_root, package_prefix): {
        'source_root': source_root,
        'package_prefix': package_prefix
      }, self._source_roots_for_target(current_target))

      if classpath_products:
        info['libraries'] = [self._jar_id(lib) for lib in target_libraries]
      targets_map[current_target.address.spec] = info

    for target in targets:
      process_target(target)

    jvm_platforms_map = {
      'default_platform' : JvmPlatform.global_instance().default_platform.name,
      'platforms': {
        str(platform_name): {
          'target_level' : str(platform.target_level),
          'source_level' : str(platform.source_level),
          'args' : platform.args,
        } for platform_name, platform in JvmPlatform.global_instance().platforms_by_name.items() }
    }

    graph_info = {
      'version': self.DEFAULT_EXPORT_VERSION,
      'targets': targets_map,
      'jvm_platforms': jvm_platforms_map,
    }
    jvm_distributions = DistributionLocator.global_instance().all_jdk_paths()
    if jvm_distributions:
      graph_info['jvm_distributions'] = jvm_distributions

    if classpath_products:
      graph_info['libraries'] = self._resolve_jars_info(targets, classpath_products)

    if python_interpreter_targets_mapping:
      interpreters = self.interpreter_cache.select_interpreter(
        python_interpreter_targets_mapping.keys())
      default_interpreter = interpreters[0]

      interpreters_info = {}
      for interpreter, targets in six.iteritems(python_interpreter_targets_mapping):
        chroot = self.cached_chroot(
          interpreter=interpreter,
          pex_info=PexInfo.default(),
          targets=targets
        )
        interpreters_info[str(interpreter.identity)] = {
          'binary': interpreter.binary,
          'chroot': chroot.path()
        }

      graph_info['python_setup'] = {
        'default_interpreter': str(default_interpreter.identity),
        'interpreters': interpreters_info
      }

    return graph_info

# 需要导入模块: from pants.backend.jvm.subsystems.jvm_platform import JvmPlatform [as 别名]
# 或者: from pants.backend.jvm.subsystems.jvm_platform.JvmPlatform import global_instance [as 别名]
 def test_platform(self):
   if self.payload.test_platform:
     return JvmPlatform.global_instance().get_platform_by_name(self.payload.test_platform)
   return self.platform

# 需要导入模块: from pants.backend.jvm.subsystems.jvm_platform import JvmPlatform [as 别名]
# 或者: from pants.backend.jvm.subsystems.jvm_platform.JvmPlatform import global_instance [as 别名]
  def console_output(self, targets):
    targets_map = {}
    resource_target_map = {}
    ivy_info = None
    if self.get_options().libraries:
      ivy_jar_products = self.context.products.get_data('ivy_jar_products') or {}
      # This product is a list for historical reasons (exclusives groups) but in practice should
      # have either 0 or 1 entries.
      ivy_info_list = ivy_jar_products.get('default')
      if ivy_info_list:
        assert len(ivy_info_list) == 1, (
          'The values in ivy_jar_products should always be length 1,'
          ' since we no longer have exclusives groups.'
        )
        ivy_info = ivy_info_list[0]

    ivy_jar_memo = {}

    def process_target(current_target):
      """
      :type current_target:pants.base.target.Target
      """
      def get_target_type(target):
        if target.is_test:
          return Export.SourceRootTypes.TEST
        else:
          if (isinstance(target, Resources) and
              target in resource_target_map and
              resource_target_map[target].is_test):
            return Export.SourceRootTypes.TEST_RESOURCE
          elif isinstance(target, Resources):
            return Export.SourceRootTypes.RESOURCE
          else:
            return Export.SourceRootTypes.SOURCE

      def get_transitive_jars(jar_lib):
        """
        :type jar_lib: pants.backend.jvm.targets.jar_library.JarLibrary
        :rtype: twitter.common.collections.orderedset.OrderedSet
        """
        if not ivy_info or not self.get_options().libraries:
          return OrderedSet()
        transitive_jars = OrderedSet()
        for jar in jar_lib.jar_dependencies:
          transitive_jars.update(ivy_info.get_jars_for_ivy_module(jar, memo=ivy_jar_memo))
        return transitive_jars

      info = {
        'targets': [],
        'libraries': [],
        'roots': [],
        'target_type': get_target_type(current_target),
        'is_code_gen': current_target.is_codegen,
        'pants_target_type': self._get_pants_target_alias(type(current_target))

      }

      if not current_target.is_synthetic:
        info['globs'] = current_target.globs_relative_to_buildroot()
        if self.get_options().sources:
          info['sources'] = list(current_target.sources_relative_to_buildroot())

      target_libraries = OrderedSet()
      if isinstance(current_target, JarLibrary):
        target_libraries = get_transitive_jars(current_target)
      for dep in current_target.dependencies:
        info['targets'].append(dep.address.spec)
        if isinstance(dep, JarLibrary):
          for jar in dep.jar_dependencies:
            target_libraries.add(IvyModuleRef(jar.org, jar.name, jar.rev))
          # Add all the jars pulled in by this jar_library
          target_libraries.update(get_transitive_jars(dep))
        if isinstance(dep, Resources):
          resource_target_map[dep] = current_target

      if isinstance(current_target, ScalaLibrary):
        for dep in current_target.java_sources:
          info['targets'].append(dep.address.spec)
          process_target(dep)

      if isinstance(current_target, JvmTarget):
        info['excludes'] = [self._exclude_id(exclude) for exclude in current_target.excludes]
        info['platform'] = current_target.platform.name

      info['roots'] = map(lambda (source_root, package_prefix): {
        'source_root': source_root,
        'package_prefix': package_prefix
      }, self._source_roots_for_target(current_target))

      if self.get_options().libraries:
        info['libraries'] = [self._jar_id(lib) for lib in target_libraries]
      targets_map[current_target.address.spec] = info

    for target in targets:
      process_target(target)

    jvm_platforms_map = {
      'default_platform' : JvmPlatform.global_instance().default_platform.name,
      'platforms': {
        str(platform_name): {
#.........这里部分代码省略.........

# 需要导入模块: from pants.backend.jvm.subsystems.jvm_platform import JvmPlatform [as 别名]
# 或者: from pants.backend.jvm.subsystems.jvm_platform.JvmPlatform import global_instance [as 别名]
 def platform(self):
   return JvmPlatform.global_instance().get_platform_for_target(self)

# 需要导入模块: from pants.backend.jvm.subsystems.jvm_platform import JvmPlatform [as 别名]
# 或者: from pants.backend.jvm.subsystems.jvm_platform.JvmPlatform import global_instance [as 别名]
 def execute(self):
   if JvmPlatform.global_instance().get_options().compiler == 'javac':
     return super(JavacCompile, self).execute()

# 需要导入模块: from pants.backend.jvm.subsystems.jvm_platform import JvmPlatform [as 别名]
# 或者: from pants.backend.jvm.subsystems.jvm_platform.JvmPlatform import global_instance [as 别名]

#.........这里部分代码省略.........
        info['targets'].append(dep.address.spec)
        if isinstance(dep, JarLibrary):
          for jar in dep.jar_dependencies:
            target_libraries.add(M2Coordinate(jar.org, jar.name, jar.rev))
          # Add all the jars pulled in by this jar_library
          target_libraries.update(iter_transitive_jars(dep))
        if isinstance(dep, Resources):
          resource_target_map[dep] = current_target

      if isinstance(current_target, ScalaLibrary):
        for dep in current_target.java_sources:
          info['targets'].append(dep.address.spec)
          process_target(dep)

      if isinstance(current_target, JvmTarget):
        info['excludes'] = [self._exclude_id(exclude) for exclude in current_target.excludes]
        info['platform'] = current_target.platform.name
        if hasattr(current_target, 'test_platform'):
          info['test_platform'] = current_target.test_platform.name

      info['roots'] = [{
        'source_root': source_root_package_prefix[0],
        'package_prefix': source_root_package_prefix[1]
      } for source_root_package_prefix in self._source_roots_for_target(current_target)]

      if classpath_products:
        info['libraries'] = [self._jar_id(lib) for lib in target_libraries]
      targets_map[current_target.address.spec] = info

    for target in targets:
      process_target(target)

    jvm_platforms_map = {
      'default_platform' : JvmPlatform.global_instance().default_platform.name,
      'platforms': {
        str(platform_name): {
          'target_level' : str(platform.target_level),
          'source_level' : str(platform.source_level),
          'args' : platform.args,
        } for platform_name, platform in JvmPlatform.global_instance().platforms_by_name.items() },
    }

    graph_info = {
      'version': self.DEFAULT_EXPORT_VERSION,
      'targets': targets_map,
      'jvm_platforms': jvm_platforms_map,
      # `jvm_distributions` are static distribution settings from config,
      # `preferred_jvm_distributions` are distributions that pants actually uses for the
      # given platform setting.
      'preferred_jvm_distributions': {}
    }

    for platform_name, platform in JvmPlatform.global_instance().platforms_by_name.items():
      preferred_distributions = {}
      for strict, strict_key in [(True, 'strict'), (False, 'non_strict')]:
        try:
          dist = JvmPlatform.preferred_jvm_distribution([platform], strict=strict)
          preferred_distributions[strict_key] = dist.home
        except DistributionLocator.Error:
          pass

      if preferred_distributions:
        graph_info['preferred_jvm_distributions'][platform_name] = preferred_distributions

    if classpath_products:
      graph_info['libraries'] = self._resolve_jars_info(targets, classpath_products)

# 需要导入模块: from pants.backend.jvm.subsystems.jvm_platform import JvmPlatform [as 别名]
# 或者: from pants.backend.jvm.subsystems.jvm_platform.JvmPlatform import global_instance [as 别名]

#.........这里部分代码省略.........
                "roots": [],
                "target_type": get_target_type(current_target),
                "is_code_gen": current_target.is_codegen,
                "pants_target_type": self._get_pants_target_alias(type(current_target)),
            }

            if not current_target.is_synthetic:
                info["globs"] = current_target.globs_relative_to_buildroot()
                if self.get_options().sources:
                    info["sources"] = list(current_target.sources_relative_to_buildroot())

            if isinstance(current_target, PythonRequirementLibrary):
                reqs = current_target.payload.get_field_value("requirements", set())
                """:type : set[pants.backend.python.python_requirement.PythonRequirement]"""
                info["requirements"] = [req.key for req in reqs]

            if isinstance(current_target, PythonTarget):
                interpreter_for_target = self.select_interpreter_for_targets([current_target])
                if interpreter_for_target is None:
                    raise TaskError("Unable to find suitable interpreter for {}".format(current_target.address))
                python_interpreter_targets_mapping[interpreter_for_target].append(current_target)
                info["python_interpreter"] = str(interpreter_for_target.identity)

            target_libraries = OrderedSet()
            if isinstance(current_target, JarLibrary):
                target_libraries = get_transitive_jars(current_target)
            for dep in current_target.dependencies:
                info["targets"].append(dep.address.spec)
                if isinstance(dep, JarLibrary):
                    for jar in dep.jar_dependencies:
                        target_libraries.add(IvyModuleRef(jar.org, jar.name, jar.rev))
                    # Add all the jars pulled in by this jar_library
                    target_libraries.update(get_transitive_jars(dep))
                if isinstance(dep, Resources):
                    resource_target_map[dep] = current_target

            if isinstance(current_target, ScalaLibrary):
                for dep in current_target.java_sources:
                    info["targets"].append(dep.address.spec)
                    process_target(dep)

            if isinstance(current_target, JvmTarget):
                info["excludes"] = [self._exclude_id(exclude) for exclude in current_target.excludes]
                info["platform"] = current_target.platform.name

            info["roots"] = map(
                lambda (source_root, package_prefix): {"source_root": source_root, "package_prefix": package_prefix},
                self._source_roots_for_target(current_target),
            )

            if self.get_options().libraries:
                info["libraries"] = [self._jar_id(lib) for lib in target_libraries]
            targets_map[current_target.address.spec] = info

        for target in targets:
            process_target(target)

        jvm_platforms_map = {
            "default_platform": JvmPlatform.global_instance().default_platform.name,
            "platforms": {
                str(platform_name): {
                    "target_level": str(platform.target_level),
                    "source_level": str(platform.source_level),
                    "args": platform.args,
                }
                for platform_name, platform in JvmPlatform.global_instance().platforms_by_name.items()
            },
        }

        graph_info = {
            "version": self.DEFAULT_EXPORT_VERSION,
            "targets": targets_map,
            "jvm_platforms": jvm_platforms_map,
        }
        jvm_distributions = DistributionLocator.global_instance().all_jdk_paths()
        if jvm_distributions:
            graph_info["jvm_distributions"] = jvm_distributions

        if self.get_options().libraries:
            graph_info["libraries"] = self._resolve_jars_info()

        if python_interpreter_targets_mapping:
            default_interpreter = self.interpreter_cache.select_interpreter(python_interpreter_targets_mapping.keys())[
                0
            ]

            interpreters_info = {}
            for interpreter, targets in python_interpreter_targets_mapping.iteritems():
                chroot = self.cached_chroot(interpreter=interpreter, pex_info=PexInfo.default(), targets=targets)
                interpreters_info[str(interpreter.identity)] = {"binary": interpreter.binary, "chroot": chroot.path()}

            graph_info["python_setup"] = {
                "default_interpreter": str(default_interpreter.identity),
                "interpreters": interpreters_info,
            }

        if self.format:
            return json.dumps(graph_info, indent=4, separators=(",", ": ")).splitlines()
        else:
            return [json.dumps(graph_info)]

# 需要导入模块: from pants.backend.jvm.subsystems.jvm_platform import JvmPlatform [as 别名]
# 或者: from pants.backend.jvm.subsystems.jvm_platform.JvmPlatform import global_instance [as 别名]

#.........这里部分代码省略.........
                """:type : set[pants.backend.python.python_requirement.PythonRequirement]"""
                info["requirements"] = [req.key for req in reqs]

            if isinstance(current_target, PythonTarget):
                interpreter_for_target = self.select_interpreter_for_targets([current_target])
                if interpreter_for_target is None:
                    raise TaskError("Unable to find suitable interpreter for {}".format(current_target.address))
                python_interpreter_targets_mapping[interpreter_for_target].append(current_target)
                info["python_interpreter"] = str(interpreter_for_target.identity)

            def iter_transitive_jars(jar_lib):
                """
        :type jar_lib: :class:`pants.backend.jvm.targets.jar_library.JarLibrary`
        :rtype: :class:`collections.Iterator` of
                :class:`pants.backend.jvm.jar_dependency_utils.M2Coordinate`
        """
                if classpath_products:
                    jar_products = classpath_products.get_artifact_classpath_entries_for_targets((jar_lib,))
                    for _, jar_entry in jar_products:
                        coordinate = jar_entry.coordinate
                        # We drop classifier and type_ since those fields are represented in the global
                        # libraries dict and here we just want the key into that dict (see `_jar_id`).
                        yield M2Coordinate(org=coordinate.org, name=coordinate.name, rev=coordinate.rev)

            target_libraries = OrderedSet()
            if isinstance(current_target, JarLibrary):
                target_libraries = OrderedSet(iter_transitive_jars(current_target))
            for dep in current_target.dependencies:
                info["targets"].append(dep.address.spec)
                if isinstance(dep, JarLibrary):
                    for jar in dep.jar_dependencies:
                        target_libraries.add(M2Coordinate(jar.org, jar.name, jar.rev))
                    # Add all the jars pulled in by this jar_library
                    target_libraries.update(iter_transitive_jars(dep))
                if isinstance(dep, Resources):
                    resource_target_map[dep] = current_target

            if isinstance(current_target, ScalaLibrary):
                for dep in current_target.java_sources:
                    info["targets"].append(dep.address.spec)
                    process_target(dep)

            if isinstance(current_target, JvmTarget):
                info["excludes"] = [self._exclude_id(exclude) for exclude in current_target.excludes]
                info["platform"] = current_target.platform.name

            info["roots"] = map(
                lambda (source_root, package_prefix): {"source_root": source_root, "package_prefix": package_prefix},
                self._source_roots_for_target(current_target),
            )

            if classpath_products:
                info["libraries"] = [self._jar_id(lib) for lib in target_libraries]
            targets_map[current_target.address.spec] = info

        for target in targets:
            process_target(target)

        jvm_platforms_map = {
            "default_platform": JvmPlatform.global_instance().default_platform.name,
            "platforms": {
                str(platform_name): {
                    "target_level": str(platform.target_level),
                    "source_level": str(platform.source_level),
                    "args": platform.args,
                }
                for platform_name, platform in JvmPlatform.global_instance().platforms_by_name.items()
            },
        }

        graph_info = {
            "version": self.DEFAULT_EXPORT_VERSION,
            "targets": targets_map,
            "jvm_platforms": jvm_platforms_map,
        }
        jvm_distributions = DistributionLocator.global_instance().all_jdk_paths()
        if jvm_distributions:
            graph_info["jvm_distributions"] = jvm_distributions

        if classpath_products:
            graph_info["libraries"] = self._resolve_jars_info(targets, classpath_products)

        if python_interpreter_targets_mapping:
            interpreters = self.interpreter_cache.select_interpreter(python_interpreter_targets_mapping.keys())
            default_interpreter = interpreters[0]

            interpreters_info = {}
            for interpreter, targets in six.iteritems(python_interpreter_targets_mapping):
                chroot = self.cached_chroot(interpreter=interpreter, pex_info=PexInfo.default(), targets=targets)
                interpreters_info[str(interpreter.identity)] = {"binary": interpreter.binary, "chroot": chroot.path()}

            graph_info["python_setup"] = {
                "default_interpreter": str(default_interpreter.identity),
                "interpreters": interpreters_info,
            }

        if self.format:
            return json.dumps(graph_info, indent=4, separators=(",", ": ")).splitlines()
        else:
            return [json.dumps(graph_info)]