deb-mistral/mistral/workflow/data_flow.py

# Copyright 2013 - Mirantis, Inc.
# Copyright 2015 - StackStorm, Inc.
#
#    Licensed under the Apache License, Version 2.0 (the "License");
#    you may not use this file except in compliance with the License.
#    You may obtain a copy of the License at
#
#        http://www.apache.org/licenses/LICENSE-2.0
#
#    Unless required by applicable law or agreed to in writing, software
#    distributed under the License is distributed on an "AS IS" BASIS,
#    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#    See the License for the specific language governing permissions and
#    limitations under the License.

import copy

from oslo_config import cfg
from oslo_log import log as logging

from mistral import context as auth_ctx
from mistral.db.v2 import api as db_api
from mistral.db.v2.sqlalchemy import models
from mistral import expressions as expr
from mistral import utils
from mistral.utils import inspect_utils
from mistral.workbook import parser as spec_parser
from mistral.workflow import states
from mistral.workflow import with_items

LOG = logging.getLogger(__name__)
CONF = cfg.CONF


def evaluate_upstream_context(upstream_task_execs):
    published_vars = {}
    ctx = {}

    for t_ex in upstream_task_execs:
        # TODO(rakhmerov): These two merges look confusing. So it's a
        # temporary solution. There's still the bug
        # https://bugs.launchpad.net/mistral/+bug/1424461 that needs to be
        # fixed using context variable versioning.
        published_vars = utils.merge_dicts(
            published_vars,
            t_ex.published
        )

        utils.merge_dicts(ctx, evaluate_task_outbound_context(t_ex))

    return utils.merge_dicts(ctx, published_vars)


def _extract_execution_result(ex):
    if isinstance(ex, models.WorkflowExecution):
        return ex.output

    if ex.output:
        return ex.output['result']


def invalidate_task_execution_result(task_ex):
    for ex in task_ex.executions:
        ex.accepted = False


def get_task_execution_result(task_ex):
    # Use of task_ex.executions requires a session to lazy load the action
    # executions. This get_task_execution_result method is also invoked
    # from get_all in the task execution API controller. If there is a lot of
    # read against the API, it will lead to a lot of unnecessary DB locks
    # which result in possible deadlocks and WF execution failures. Therefore,
    # use db_api.get_action_executions here to avoid session-less use cases.
    action_execs = db_api.get_action_executions(task_execution_id=task_ex.id)
    action_execs.sort(
        key=lambda x: x.runtime_context.get('index')
    )

    results = [
        _extract_execution_result(ex)
        for ex in action_execs
        if hasattr(ex, 'output') and ex.accepted
    ]

    task_spec = spec_parser.get_task_spec(task_ex.spec)

    if task_spec.get_with_items():
        if with_items.get_count(task_ex) > 0:
            return results
        else:
            return []

    return results[0] if len(results) == 1 else results


def publish_variables(task_ex, task_spec):
    if task_ex.state != states.SUCCESS:
        return

    expr_ctx = task_ex.in_context

    if task_ex.name in expr_ctx:
        LOG.warning(
            'Shadowing context variable with task name while publishing: %s' %
            task_ex.name
        )

    task_ex.published = expr.evaluate_recursively(
        task_spec.get_publish(),
        expr_ctx
    )


def evaluate_task_outbound_context(task_ex):
    """Evaluates task outbound Data Flow context.

    This method assumes that complete task output (after publisher etc.)
    has already been evaluated.
    :param task_ex: DB task.
    :return: Outbound task Data Flow context.
    """

    in_context = (copy.deepcopy(dict(task_ex.in_context))
                  if task_ex.in_context is not None else {})

    return utils.merge_dicts(in_context, task_ex.published)


def evaluate_workflow_output(wf_spec, ctx):
    """Evaluates workflow output.

    :param wf_spec: Workflow specification.
    :param ctx: Final Data Flow context (cause task's outbound context).
    """

    ctx = copy.deepcopy(ctx)

    output_dict = wf_spec.get_output()

    # Evaluate workflow 'publish' clause using the final workflow context.
    output = expr.evaluate_recursively(output_dict, ctx)

    # TODO(rakhmerov): Many don't like that we return the whole context
    # if 'output' is not explicitly defined.
    return output or ctx


def add_openstack_data_to_context(wf_ex):
    wf_ex.context = wf_ex.context or {}

    if CONF.pecan.auth_enable:
        exec_ctx = auth_ctx.ctx()

        LOG.debug('Data flow security context: %s' % exec_ctx)

        if exec_ctx:
            wf_ex.context.update({'openstack': exec_ctx.to_dict()})


def add_execution_to_context(wf_ex):
    wf_ex.context = wf_ex.context or {}

    wf_ex.context['__execution'] = {
        'id': wf_ex.id,
        'spec': wf_ex.spec,
        'params': wf_ex.params,
        'input': wf_ex.input
    }


def add_environment_to_context(wf_ex):
    wf_ex.context = wf_ex.context or {}

    # If env variables are provided, add an evaluated copy into the context.
    if 'env' in wf_ex.params:
        env = copy.deepcopy(wf_ex.params['env'])

        # An env variable can be an expression of other env variables.
        wf_ex.context['__env'] = expr.evaluate_recursively(env, {'__env': env})


def add_workflow_variables_to_context(wf_ex, wf_spec):
    wf_ex.context = wf_ex.context or {}

    return utils.merge_dicts(
        wf_ex.context,
        expr.evaluate_recursively(wf_spec.get_vars(), wf_ex.context)
    )


def evaluate_object_fields(obj, context):
    fields = inspect_utils.get_public_fields(obj)

    evaluated_fields = expr.evaluate_recursively(fields, context)

    for k, v in evaluated_fields.items():
        setattr(obj, k, v)