Beispiel #1
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 def _fetch_scopes_for(self, atom):
     """Fetches a tuple of the visible scopes for the given atom."""
     try:
         return self._scopes[atom]
     except KeyError:
         walker = sc.ScopeWalker(self.compilation, atom,
                                 names_only=True)
         visible_to = tuple(walker)
         self._scopes[atom] = visible_to
         return visible_to
Beispiel #2
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    def test_empty(self):
        r = lf.Flow("root")
        r_1 = test_utils.TaskOneReturn("root.1")
        r.add(r_1)

        c = compiler.PatternCompiler(r).compile()
        self.assertIn(r_1, c.execution_graph)
        self.assertIsNotNone(c.hierarchy.find(r_1))

        walker = sc.ScopeWalker(c, r_1)
        scopes = list(walker)
        self.assertEqual([], scopes)
    def compile(self):
        """Compiles & caches frequently used execution helper objects.

        Build out a cache of commonly used item that are associated
        with the contained atoms (by name), and are useful to have for
        quick lookup on (for example, the change state handler function for
        each atom, the scope walker object for each atom, the task or retry
        specific scheduler and so-on).
        """
        change_state_handlers = {
            com.TASK:
            functools.partial(self.task_action.change_state, progress=0.0),
            com.RETRY:
            self.retry_action.change_state,
        }
        schedulers = {
            com.RETRY: self.retry_scheduler,
            com.TASK: self.task_scheduler,
        }
        check_transition_handlers = {
            com.TASK: st.check_task_transition,
            com.RETRY: st.check_retry_transition,
        }
        actions = {
            com.TASK: self.task_action,
            com.RETRY: self.retry_action,
        }
        graph = self._compilation.execution_graph
        for node, node_data in graph.nodes_iter(data=True):
            node_kind = node_data['kind']
            if node_kind in com.FLOWS:
                continue
            elif node_kind in com.ATOMS:
                check_transition_handler = check_transition_handlers[node_kind]
                change_state_handler = change_state_handlers[node_kind]
                scheduler = schedulers[node_kind]
                action = actions[node_kind]
            else:
                raise exc.CompilationFailure("Unknown node kind '%s'"
                                             " encountered" % node_kind)
            metadata = {}
            deciders_it = self._walk_edge_deciders(graph, node)
            walker = sc.ScopeWalker(self.compilation, node, names_only=True)
            metadata['scope_walker'] = walker
            metadata['check_transition_handler'] = check_transition_handler
            metadata['change_state_handler'] = change_state_handler
            metadata['scheduler'] = scheduler
            metadata['edge_deciders'] = tuple(deciders_it)
            metadata['action'] = action
            LOG.trace("Compiled %s metadata for node %s (%s)", metadata,
                      node.name, node_kind)
            self._atom_cache[node.name] = metadata
Beispiel #4
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    def compile(self):
        """Compiles & caches frequently used execution helper objects.

        Build out a cache of commonly used item that are associated
        with the contained atoms (by name), and are useful to have for
        quick lookup on (for example, the change state handler function for
        each atom, the scope walker object for each atom, the task or retry
        specific scheduler and so-on).
        """
        change_state_handlers = {
            com.TASK:
            functools.partial(self.task_action.change_state, progress=0.0),
            com.RETRY:
            self.retry_action.change_state,
        }
        schedulers = {
            com.RETRY: self.retry_scheduler,
            com.TASK: self.task_scheduler,
        }
        check_transition_handlers = {
            com.TASK: st.check_task_transition,
            com.RETRY: st.check_retry_transition,
        }
        graph = self._compilation.execution_graph
        for node, node_data in graph.nodes_iter(data=True):
            node_kind = node_data['kind']
            if node_kind == com.FLOW:
                continue
            elif node_kind in com.ATOMS:
                check_transition_handler = check_transition_handlers[node_kind]
                change_state_handler = change_state_handlers[node_kind]
                scheduler = schedulers[node_kind]
            else:
                raise exc.CompilationFailure("Unknown node kind '%s'"
                                             " encountered" % node_kind)
            metadata = {}
            walker = sc.ScopeWalker(self.compilation, node, names_only=True)
            edge_deciders = {}
            for prev_node in graph.predecessors_iter(node):
                # If there is any link function that says if this connection
                # is able to run (or should not) ensure we retain it and use
                # it later as needed.
                u_v_data = graph.adj[prev_node][node]
                u_v_decider = u_v_data.get(LINK_DECIDER)
                if u_v_decider is not None:
                    edge_deciders[prev_node.name] = u_v_decider
            metadata['scope_walker'] = walker
            metadata['check_transition_handler'] = check_transition_handler
            metadata['change_state_handler'] = change_state_handler
            metadata['scheduler'] = scheduler
            metadata['edge_deciders'] = edge_deciders
            self._atom_cache[node.name] = metadata
Beispiel #5
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    def compile(self):
        """Compiles & caches frequently used execution helper objects.

        Build out a cache of commonly used item that are associated
        with the contained atoms (by name), and are useful to have for
        quick lookup on (for example, the change state handler function for
        each atom, the scope walker object for each atom, the task or retry
        specific scheduler and so-on).
        """
        change_state_handlers = {
            'task': functools.partial(self.task_action.change_state,
                                      progress=0.0),
            'retry': self.retry_action.change_state,
        }
        schedulers = {
            'retry': self.retry_scheduler,
            'task': self.task_scheduler,
        }
        execution_graph = self._compilation.execution_graph
        all_retry_atoms = []
        all_task_atoms = []
        for atom in self.analyzer.iterate_all_nodes():
            metadata = {}
            walker = sc.ScopeWalker(self.compilation, atom, names_only=True)
            if isinstance(atom, task.BaseTask):
                check_transition_handler = st.check_task_transition
                change_state_handler = change_state_handlers['task']
                scheduler = schedulers['task']
                all_task_atoms.append(atom)
            else:
                check_transition_handler = st.check_retry_transition
                change_state_handler = change_state_handlers['retry']
                scheduler = schedulers['retry']
                all_retry_atoms.append(atom)
            edge_deciders = {}
            for previous_atom in execution_graph.predecessors(atom):
                # If there is any link function that says if this connection
                # is able to run (or should not) ensure we retain it and use
                # it later as needed.
                u_v_data = execution_graph.adj[previous_atom][atom]
                u_v_decider = u_v_data.get(flow.LINK_DECIDER)
                if u_v_decider is not None:
                    edge_deciders[previous_atom.name] = u_v_decider
            metadata['scope_walker'] = walker
            metadata['check_transition_handler'] = check_transition_handler
            metadata['change_state_handler'] = change_state_handler
            metadata['scheduler'] = scheduler
            metadata['edge_deciders'] = edge_deciders
            self._atom_cache[atom.name] = metadata
        self._atoms_by_kind['retry'] = all_retry_atoms
        self._atoms_by_kind['task'] = all_task_atoms
Beispiel #6
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 def fetch_scopes_for(self, atom_name):
     """Fetches a walker of the visible scopes for the given atom."""
     try:
         return self._walkers_to_names[atom_name]
     except KeyError:
         atom = None
         for node in self.analyzer.iterate_all_nodes():
             if node.name == atom_name:
                 atom = node
                 break
         if atom is not None:
             walker = sc.ScopeWalker(self.compilation,
                                     atom,
                                     names_only=True)
             self._walkers_to_names[atom_name] = walker
         else:
             walker = None
         return walker
Beispiel #7
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 def task_action(self):
     return ta.TaskAction(
         self._storage, self._task_executor, self._task_notifier, lambda
         atom: sc.ScopeWalker(self.compilation, atom, names_only=True))
Beispiel #8
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 def retry_action(self):
     return ra.RetryAction(
         self._storage, self._task_notifier, lambda atom: sc.ScopeWalker(
             self.compilation, atom, names_only=True))
Beispiel #9
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def _get_scopes(compilation, atom, names_only=True):
    walker = sc.ScopeWalker(compilation, atom, names_only=names_only)
    return list(iter(walker))