Python RuleIndex.create方法代码示例

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def test_smallest_full_test_multiple_root_subject_types(self):
    rules = [
      RootRule(SubA),
      RootRule(A),
      TaskRule(A, [Select(SubA)], noop),
      TaskRule(B, [Select(A)], noop)
    ]
    fullgraph = self.create_full_graph(RuleIndex.create(rules))

    self.assert_equal_with_printing(dedent("""
                     digraph {
                       // root subject types: A, SubA
                       // root entries
                         "Select(A) for A" [color=blue]
                         "Select(A) for A" -> {"SubjectIsProduct(A)"}
                         "Select(A) for SubA" [color=blue]
                         "Select(A) for SubA" -> {"(A, (Select(SubA),), noop) of SubA"}
                         "Select(B) for A" [color=blue]
                         "Select(B) for A" -> {"(B, (Select(A),), noop) of A"}
                         "Select(B) for SubA" [color=blue]
                         "Select(B) for SubA" -> {"(B, (Select(A),), noop) of SubA"}
                       // internal entries
                         "(A, (Select(SubA),), noop) of SubA" -> {"SubjectIsProduct(SubA)"}
                         "(B, (Select(A),), noop) of A" -> {"SubjectIsProduct(A)"}
                         "(B, (Select(A),), noop) of SubA" -> {"(A, (Select(SubA),), noop) of SubA"}
                     }""").strip(),
                     fullgraph)

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def test_select_dependencies_recurse_with_different_type(self):
    rules = [
      (Exactly(A), (SelectDependencies(B, SubA, field_types=(C, D,)),), noop),
      (B, (Select(A),), noop),
      (C, (Select(SubA),), noop),
      (SubA, tuple(), noop)
    ]

    graphmaker = GraphMaker(RuleIndex.create(rules, tuple()),
      root_subject_fns=_suba_root_subject_fns)
    subgraph = graphmaker.generate_subgraph(SubA(), requested_product=A)

    self.assert_equal_with_printing(dedent("""
                                      {
                                        root_subject_types: (SubA,)
                                        root_rules:
                                        Select(A) for SubA => ((Exactly(A), (SelectDependencies(B, SubA, field_types=(C, D,)),), noop) of SubA,)
                                        all_rules:
                                        (B, (Select(A),), noop) of C => ((Exactly(A), (SelectDependencies(B, SubA, field_types=(C, D,)),), noop) of C,)
                                        (B, (Select(A),), noop) of D => ((Exactly(A), (SelectDependencies(B, SubA, field_types=(C, D,)),), noop) of D,)
                                        (Exactly(A), (SelectDependencies(B, SubA, field_types=(C, D,)),), noop) of C => ((SubA, (), noop) of C, (B, (Select(A),), noop) of C, (B, (Select(A),), noop) of D,)
                                        (Exactly(A), (SelectDependencies(B, SubA, field_types=(C, D,)),), noop) of D => ((SubA, (), noop) of D, (B, (Select(A),), noop) of C, (B, (Select(A),), noop) of D,)
                                        (Exactly(A), (SelectDependencies(B, SubA, field_types=(C, D,)),), noop) of SubA => (SubjectIsProduct(SubA), (B, (Select(A),), noop) of C, (B, (Select(A),), noop) of D,)
                                        (SubA, (), noop) of C => (,)
                                        (SubA, (), noop) of D => (,)
                                      }""").strip(),
                                    subgraph)

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def test_multiple_depend_on_same_rule(self):
    rules = _suba_root_rules + [
      TaskRule(B, [Select(A)], noop),
      TaskRule(C, [Select(A)], noop),
      TaskRule(A, [Select(SubA)], noop)
    ]

    subgraph = self.create_full_graph(RuleIndex.create(rules))

    self.assert_equal_with_printing(dedent("""
                     digraph {
                       // root subject types: SubA
                       // root entries
                         "Select(A) for SubA" [color=blue]
                         "Select(A) for SubA" -> {"(A, (Select(SubA),), noop) of SubA"}
                         "Select(B) for SubA" [color=blue]
                         "Select(B) for SubA" -> {"(B, (Select(A),), noop) of SubA"}
                         "Select(C) for SubA" [color=blue]
                         "Select(C) for SubA" -> {"(C, (Select(A),), noop) of SubA"}
                       // internal entries
                         "(A, (Select(SubA),), noop) of SubA" -> {"SubjectIsProduct(SubA)"}
                         "(B, (Select(A),), noop) of SubA" -> {"(A, (Select(SubA),), noop) of SubA"}
                         "(C, (Select(A),), noop) of SubA" -> {"(A, (Select(SubA),), noop) of SubA"}
                     }""").strip(),
      subgraph)

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def test_noop_removal_transitive(self):
    # If a noop-able rule has rules that depend on it,
    # they should be removed from the graph.
    rules = [
      (Exactly(B), (Select(C),), noop),
      (Exactly(A), (Select(B),), noop),
      (Exactly(A), tuple(), noop),
    ]
    intrinsics = [
      (D, C, BoringRule(C))
    ]
    graphmaker = GraphMaker(RuleIndex.create(rules, intrinsics),
      root_subject_fns=_suba_root_subject_fns,

    )
    subgraph = graphmaker.generate_subgraph(SubA(), requested_product=A)

    self.assert_equal_with_printing(dedent("""
                               {
                                 root_subject_types: (SubA,)
                                 root_rules:
                                 Select(A) for SubA => ((Exactly(A), (), noop) of SubA,)
                                 all_rules:
                                 (Exactly(A), (), noop) of SubA => (,)
                               }""").strip(), subgraph)

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def test_full_graph_for_planner_example(self):
    symbol_table_cls = TargetTable
    address_mapper = AddressMapper(symbol_table_cls, JsonParser, '*.BUILD.json')
    rules = create_graph_rules(address_mapper, symbol_table_cls) + create_fs_rules()

    rule_index = RuleIndex.create(rules)
    fullgraph_str = self.create_full_graph(rule_index)

    print('---diagnostic------')
    print(fullgraph_str)
    print('/---diagnostic------')

    in_root_rules = False
    in_all_rules = False
    all_rules = []
    root_rule_lines = []
    for line in fullgraph_str.splitlines():
      if line.startswith('  // root subject types:'):
        pass
      elif line.startswith('  // root entries'):
        in_root_rules = True
      elif line.startswith('  // internal entries'):
        in_all_rules = True
      elif in_all_rules:
        all_rules.append(line)
      elif in_root_rules:
        root_rule_lines.append(line)
      else:
        pass

    self.assertEquals(36, len(all_rules))
    self.assertEquals(66, len(root_rule_lines)) # 2 lines per entry

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def test_full_graph_for_planner_example(self):
    symbol_table_cls = TargetTable
    address_mapper = AddressMapper(symbol_table_cls, JsonParser, '*.BUILD.json')
    tasks = create_graph_tasks(address_mapper, symbol_table_cls) + create_fs_tasks()
    intrinsics = create_fs_intrinsics('Let us pretend that this is a ProjectTree!')

    rule_index = RuleIndex.create(tasks, intrinsics)
    graphmaker = GraphMaker(rule_index,
      root_subject_fns={k: lambda p: Select(p) for k in (Address, # TODO, use the actual fns.
                          PathGlobs,
                          SingleAddress,
                          SiblingAddresses,
                          DescendantAddresses,
                          AscendantAddresses
      )})
    fullgraph = graphmaker.full_graph()
    print('---diagnostic------')
    print(fullgraph.error_message())
    print('/---diagnostic------')
    print(fullgraph)


    # Assert that all of the rules specified the various task fns are present
    declared_rules = rule_index.all_rules()
    rules_remaining_in_graph_strs = set(str(r.rule) for r in fullgraph.rule_dependencies.keys())

    declared_rule_strings = set(str(r) for r in declared_rules)
    self.assertEquals(declared_rule_strings,
      rules_remaining_in_graph_strs
    )

    # statically assert that the number of dependency keys is fixed
    self.assertEquals(41, len(fullgraph.rule_dependencies))

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def test_ruleset_with_selector_only_provided_as_root_subject(self):
    rules = [(A, (Select(B),), noop)]
    validator = RulesetValidator(RuleIndex.create(rules, tuple()),
      goal_to_product={},
      root_subject_fns={k: lambda p: Select(p) for k in (B,)})

    validator.validate()

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
 def test_fails_if_root_subject_types_empty(self):
   rules = [
     (A, (Select(B),), noop),
   ]
   with self.assertRaises(ValueError) as cm:
     GraphMaker(RuleIndex.create(rules), tuple())
   self.assertEquals(dedent("""
                                 root_subject_fns must not be empty
                              """).strip(), str(cm.exception))

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def test_ruleset_with_explicit_type_constraint(self):
    rules = [
      (Exactly(A), (Select(B),), noop),
      (B, (Select(A),), noop)
    ]
    validator = RulesetValidator(RuleIndex.create(rules, tuple()),
      goal_to_product={},
      root_subject_fns={k: lambda p: Select(p) for k in (SubA,)})

    validator.validate()

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def __init__(self,
               work_dir,
               goals,
               rules,
               project_tree,
               native,
               graph_lock=None):
    """
    :param goals: A dict from a goal name to a product type. A goal is just an alias for a
           particular (possibly synthetic) product.
    :param rules: A set of Rules which is used to compute values in the product graph.
    :param project_tree: An instance of ProjectTree for the current build root.
    :param work_dir: The pants work dir.
    :param native: An instance of engine.subsystem.native.Native.
    :param graph_lock: A re-entrant lock to use for guarding access to the internal product Graph
                       instance. Defaults to creating a new threading.RLock().
    """
    self._products_by_goal = goals
    self._project_tree = project_tree
    self._product_graph_lock = graph_lock or threading.RLock()
    self._run_count = 0

    # Create the ExternContext, and the native Scheduler.
    self._execution_request = None


    # Validate and register all provided and intrinsic tasks.
    # TODO: This bounding of input Subject types allows for closed-world validation, but is not
    # strictly necessary for execution. We might eventually be able to remove it by only executing
    # validation below the execution roots (and thus not considering paths that aren't in use).

    root_subject_types = {
      Address,
      BuildFileAddress,
      AscendantAddresses,
      DescendantAddresses,
      PathGlobs,
      SiblingAddresses,
      SingleAddress,
    }
    rules = list(rules) + create_snapshot_rules()
    rule_index = RuleIndex.create(rules)
    self._scheduler = WrappedNativeScheduler(native,
                                             project_tree.build_root,
                                             work_dir,
                                             project_tree.ignore_patterns,
                                             rule_index,
                                             root_subject_types)

    # If configured, visualize the rule graph before asserting that it is valid.
    if self._scheduler.visualize_to_dir() is not None:
      rule_graph_name = 'rule_graph.dot'
      self.visualize_rule_graph_to_file(os.path.join(self._scheduler.visualize_to_dir(), rule_graph_name))

    self._scheduler.assert_ruleset_valid()

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def test_ruleset_with_missing_product_type(self):
    rules = [(A, (Select(B),), noop)]
    validator = RulesetValidator(RuleIndex.create(rules, tuple()),
                                 goal_to_product={},
                                 root_subject_fns={k: lambda p: Select(p) for k in (SubA,)})
    with self.assertRaises(ValueError) as cm:
      validator.validate()

    self.assert_equal_with_printing(dedent("""
                     Rules with errors: 1
                       (A, (Select(B),), noop):
                         no matches for Select(B) with subject types: SubA
                     """).strip(),
                                    str(cm.exception))

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def test_ruleset_with_goal_not_produced(self):
    # The graph is complete, but the goal 'goal-name' requests A,
    # which is not produced by any rule.
    rules = [
      (B, (Select(SubA),), noop)
    ]

    validator = RulesetValidator(RuleIndex.create(rules, tuple()),
      goal_to_product={'goal-name': AGoal},
      root_subject_fns={k: lambda p: Select(p) for k in (SubA,)})
    with self.assertRaises(ValueError) as cm:
      validator.validate()

    self.assert_equal_with_printing("no task for product used by goal \"goal-name\": AGoal",
                                    str(cm.exception))

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def __init__(self,
               goals,
               tasks,
               project_tree,
               native,
               graph_lock=None):
    """
    :param goals: A dict from a goal name to a product type. A goal is just an alias for a
           particular (possibly synthetic) product.
    :param tasks: A set of (output, input selection clause, task function) triples which
           is used to compute values in the product graph.
    :param project_tree: An instance of ProjectTree for the current build root.
    :param native: An instance of engine.subsystem.native.Native.
    :param graph_lock: A re-entrant lock to use for guarding access to the internal product Graph
                       instance. Defaults to creating a new threading.RLock().
    """
    self._products_by_goal = goals
    self._project_tree = project_tree
    self._product_graph_lock = graph_lock or threading.RLock()
    self._run_count = 0

    # Create the ExternContext, and the native Scheduler.
    self._execution_request = None


    # Validate and register all provided and intrinsic tasks.
    # TODO: This bounding of input Subject types allows for closed-world validation, but is not
    # strictly necessary for execution. We might eventually be able to remove it by only executing
    # validation below the execution roots (and thus not considering paths that aren't in use).

    root_subject_types = {
      Address,
      BuildFileAddress,
      AscendantAddresses,
      DescendantAddresses,
      PathGlobs,
      SiblingAddresses,
      SingleAddress,
    }
    singletons = create_snapshot_singletons()
    rule_index = RuleIndex.create(tasks, intrinsic_entries=[], singleton_entries=singletons)
    self._scheduler = WrappedNativeScheduler(native,
                                             project_tree.build_root,
                                             project_tree.ignore_patterns,
                                             rule_index,
                                             root_subject_types)

    self._scheduler.assert_ruleset_valid()

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def test_smallest_full_test(self):
    rules = [
      (Exactly(A), (Select(SubA),), noop)
    ]

    fullgraph = GraphMaker(RuleIndex.create(rules, tuple()),
      root_subject_fns={k: lambda p: Select(p) for k in (SubA,)}).full_graph()

    self.assert_equal_with_printing(dedent("""
                               {
                                 root_subject_types: (SubA,)
                                 root_rules:
                                 Select(A) for SubA => ((Exactly(A), (Select(SubA),), noop) of SubA,)
                                 all_rules:
                                 (Exactly(A), (Select(SubA),), noop) of SubA => (SubjectIsProduct(SubA),)
                               }""").strip(), fullgraph)

# 需要导入模块: from pants.engine.rules import RuleIndex [as 别名]
# 或者: from pants.engine.rules.RuleIndex import create [as 别名]
  def test_smallest_full_test(self):
    rules = _suba_root_rules + [
      RootRule(SubA),
      TaskRule(Exactly(A), [Select(SubA)], noop)
    ]
    fullgraph = self.create_full_graph(RuleIndex.create(rules))

    self.assert_equal_with_printing(dedent("""
                     digraph {
                       // root subject types: SubA
                       // root entries
                         "Select(A) for SubA" [color=blue]
                         "Select(A) for SubA" -> {"(A, (Select(SubA),), noop) of SubA"}
                       // internal entries
                         "(A, (Select(SubA),), noop) of SubA" -> {"SubjectIsProduct(SubA)"}
                     }""").strip(), fullgraph)