blob: 9eee1e10bb33c76fadb167707f31b1ef6b83492d [file] [log] [blame]
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You 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.
"""
Workflow event logging.
"""
from .. import events
from ... import modeling
def _get_task_name(task):
if isinstance(task.actor, modeling.model_bases.service_instance.RelationshipBase):
return '{source_node.name}->{target_node.name}'.format(
source_node=task.actor.source_node, target_node=task.actor.target_node)
else:
return task.actor.name
@events.start_task_signal.connect
def _start_task_handler(ctx, **kwargs):
# If the task has no function this is an empty task.
if ctx.task.function:
suffix = 'started...'
logger = ctx.logger.info
else:
suffix = 'has no implementation'
logger = ctx.logger.debug
logger('{name} {task.interface_name}.{task.operation_name} {suffix}'.format(
name=_get_task_name(ctx.task), task=ctx.task, suffix=suffix))
@events.on_success_task_signal.connect
def _success_task_handler(ctx, **kwargs):
if not ctx.task.function:
return
ctx.logger.info('{name} {task.interface_name}.{task.operation_name} successful'
.format(name=_get_task_name(ctx.task), task=ctx.task))
@events.on_failure_task_signal.connect
def _failure_operation_handler(ctx, traceback, **kwargs):
ctx.logger.error(
'{name} {task.interface_name}.{task.operation_name} failed'
.format(name=_get_task_name(ctx.task), task=ctx.task), extra=dict(traceback=traceback)
)
@events.start_workflow_signal.connect
def _start_workflow_handler(context, **kwargs):
context.logger.info("Starting '{ctx.workflow_name}' workflow execution".format(ctx=context))
@events.on_failure_workflow_signal.connect
def _failure_workflow_handler(context, **kwargs):
context.logger.info("'{ctx.workflow_name}' workflow execution failed".format(ctx=context))
@events.on_success_workflow_signal.connect
def _success_workflow_handler(context, **kwargs):
context.logger.info("'{ctx.workflow_name}' workflow execution succeeded".format(ctx=context))
@events.on_cancelled_workflow_signal.connect
def _cancel_workflow_handler(context, **kwargs):
context.logger.info("'{ctx.workflow_name}' workflow execution canceled".format(ctx=context))
@events.on_cancelling_workflow_signal.connect
def _cancelling_workflow_handler(context, **kwargs):
context.logger.info("Cancelling '{ctx.workflow_name}' workflow execution".format(ctx=context))