Example #1
0
    def compile_models(self, linker, models):
        compiled_models = {
            model: self.compile_model(linker, model, models)
            for model in models
        }
        sorted_models = [
            find_model_by_fqn(models, fqn)
            for fqn in linker.as_topological_ordering()
        ]

        written_models = []
        for model in sorted_models:
            injected_stmt = self.add_cte_to_rendered_query(
                linker, model, compiled_models)
            context = self.get_context(linker, model, models)
            wrapped_stmt = model.compile(injected_stmt, self.project,
                                         self.create_template, context)

            serialized = model.serialize()
            linker.update_node_data(tuple(model.fqn), serialized)

            if model.is_ephemeral:
                continue

            self.__write(model.build_path(), wrapped_stmt)
            written_models.append(model)

        return compiled_models, written_models
Example #2
0
    def compile_models(self, linker, models):
        compiled_models = {
            model: self.compile_model(linker, model, models)
            for model in models
        }
        sorted_models = [
            find_model_by_fqn(models, fqn)
            for fqn in linker.as_topological_ordering()
        ]

        written_models = []
        for model in sorted_models:
            # in-model configs were just evaluated. Evict anything that is
            # newly-disabled
            if not model.is_enabled:
                self.remove_node_from_graph(linker, model, models)
                continue

            injected_stmt = self.add_cte_to_rendered_query(
                linker, model, compiled_models)

            context = self.get_context(linker, model, models)
            wrapped_stmt = model.compile(injected_stmt, self.project,
                                         self.create_template, context)

            serialized = model.serialize()
            linker.update_node_data(tuple(model.fqn), serialized)

            if model.is_ephemeral:
                continue

            self.__write(model.build_path(), wrapped_stmt)
            written_models.append(model)

        return compiled_models, written_models
Example #3
0
 def skip_dependent(model):
     dependent_nodes = linker.get_dependent_nodes(model.fqn)
     for node in dependent_nodes:
         if node in selected_nodes:
             try:
                 model_to_skip = find_model_by_fqn(models, node)
                 model_to_skip.do_skip()
             except RuntimeError as e:
                 pass
Example #4
0
    def remove_node_from_graph(self, linker, model, models):
        # remove the node
        children = linker.remove_node(tuple(model.fqn))

        # check if we bricked the graph. if so: throw compilation error
        for child in children:
            other_model = find_model_by_fqn(models, child)

            if other_model.is_enabled:
                this_fqn = ".".join(model.fqn)
                that_fqn = ".".join(other_model.fqn)
                compiler_error(
                    model, "Model '{}' depends on model '{}' which is "
                    "disabled".format(that_fqn, this_fqn))
Example #5
0
 def as_concurrent_dep_list(self, linker, models, existing, target,
                            limit_to):
     model_dependency_list = []
     dependency_list = linker.as_dependency_list(limit_to)
     for node_list in dependency_list:
         level = []
         for fqn in node_list:
             try:
                 model = find_model_by_fqn(models, fqn)
             except RuntimeError as e:
                 continue
             if model.should_execute(self.args, existing):
                 model.prepare(existing, target)
                 level.append(model)
         model_dependency_list.append(level)
     return model_dependency_list
Example #6
0
 def skip_dependent(model):
     dependent_nodes = linker.get_dependent_nodes(model.fqn)
     for node in dependent_nodes:
         model_to_skip = find_model_by_fqn(models, node)
         model_to_skip.do_skip()