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R3600 invenio-infoscience
api.py
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# -*- coding: utf-8 -*-
## This file is part of Invenio.
## Copyright (C) 2012, 2013 CERN.
##
## Invenio is free software; you can redistribute it and/or
## modify it under the terms of the GNU General Public License as
## published by the Free Software Foundation; either version 2 of the
## License, or (at your option) any later version.
##
## Invenio is distributed in the hope that it will be useful, but
## WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
## General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with Invenio; if not, write to the Free Software Foundation, Inc.,
## 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
"""
BibWorkflow API - functions to run workflows
"""
import
os
from
pprint
import
pformat
from
werkzeug.utils
import
import_string
from
invenio.config
import
(
CFG_BIBWORKFLOW_WORKER
,
CFG_PYLIBDIR
,
CFG_LOGDIR
)
from
invenio.errorlib
import
register_exception
import
cPickle
class
InvenioBibWorkflowWorkerUnavailable
(
Exception
):
pass
if
CFG_BIBWORKFLOW_WORKER
:
try
:
WORKER
=
import_string
(
'invenio.bibworkflow_workers.
%s
:
%s
'
%
(
CFG_BIBWORKFLOW_WORKER
,
CFG_BIBWORKFLOW_WORKER
))
USE_TASK_QUEUE
=
True
except
:
## Let's report about broken plugins
register_exception
(
alert_admin
=
True
)
def
start
(
workflow_name
,
data
,
**
kwargs
):
"""
Starts a workflow by given name for specified data *immediately*
in the current process.
The name of the workflow to start is considered unique and it is
equal to the name of a file containing the workflow definition.
The data passed should be a list of object(s) to run through the
workflow. For example: a list of dict, JSON string, BibWorkflowObjects
etc.
Special custom keyword arguments can be given to the workflow engine
in order to pass certain variables to the tasks in the workflow execution,
such as a taskid from BibSched, the current user etc.
The workflow engine object generated is returned upon completion.
@param workflow_name: the workflow name to run. Ex: "my_workflow"
@type workflow_name: str
@param data: the workflow name to run. Ex: "my_workflow"
@type data: list of objects/dicts
@return: BibWorkflowEngine that ran the workflow.
"""
from
invenio.bibworkflow_worker_engine
import
run_worker
return
run_worker
(
workflow_name
,
data
,
**
kwargs
)
def
start_delayed
(
workflow_name
,
data
,
**
kwargs
):
"""
Starts a *delayed* workflow by using one of the defined workers
available. For example, enqueueing the execution of the workflow in
a task queue such as Celery (http://celeryproject.org).
Otherwise, see documentation of start().
@param workflow_name: the workflow name to run. Ex: "my_workflow"
@type workflow_name: str
@param data: the workflow name to run. Ex: "my_workflow"
@type data: list of objects/dicts
@return: BibWorkflowEngine that ran the workflow.
"""
if
not
CFG_BIBWORKFLOW_WORKER
:
raise
InvenioBibWorkflowWorkerUnavailable
(
'No worker configured'
)
return
WORKER
()
.
run_worker
(
workflow_name
,
data
,
**
kwargs
)
def
start_by_wid
(
wid
,
**
kwargs
):
"""
Will re-start given workflow, by workflow uuid (wid),
from the beginning with the original data given.
Special custom keyword arguments can be given to the workflow engine
in order to pass certain variables to the tasks in the workflow execution,
such as a taskid from BibSched, the current user etc.
@param wid: the workflow uuid. Ex: "550e8400-e29b-41d4-a716-446655440000"
@type wid: string
@return: BibWorkflowEngine that ran the workflow.
"""
from
invenio.bibworkflow_worker_engine
import
restart_worker
return
restart_worker
(
wid
,
**
kwargs
)
def
start_by_wid_delayed
(
wid
,
**
kwargs
):
"""
Will re-start given workflow, by workflow uuid (wid),
from the beginning with the original data given.
Starts the workflow *delayed* by using one of the defined workers
available. For example, enqueueing the execution of the workflow in
a task queue such as Celery (http://celeryproject.org).
Special custom keyword arguments can be given to the workflow engine
in order to pass certain variables to the tasks in the workflow execution,
such as a taskid from BibSched, the current user etc.
@param wid: the workflow uuid. Ex: "550e8400-e29b-41d4-a716-446655440000"
@type wid: string
@return: BibWorkflowEngine that ran the workflow.
"""
if
not
CFG_BIBWORKFLOW_WORKER
:
raise
InvenioBibWorkflowWorkerUnavailable
(
'No worker configured'
)
return
WORKER
()
.
restart_worker
(
wid
,
**
kwargs
)
def
start_by_oids
(
workflow_name
,
oids
,
**
kwargs
):
"""
Will start given workflow, by name, using the given
list of BibWorkflowObject ids (oids) from beginning.
Special custom keyword arguments can be given to the workflow engine
in order to pass certain variables to the tasks in the workflow execution,
such as a taskid from BibSched, the current user etc.
@param workflow_name: the workflow name to run. Ex: "my_workflow"
@type workflow_name: str
@param oids: list of BibWorkflowObject id's to run.
@type oids: list of strings/integers
@return: BibWorkflowEngine that ran the workflow.
"""
from
invenio.bibworkflow_model
import
BibWorkflowObject
objects
=
BibWorkflowObject
.
query
.
filter
(
BibWorkflowObject
.
id
.
in_
(
list
(
oids
)))
.
all
()
return
start
(
workflow_name
,
objects
,
**
kwargs
)
def
start_by_oids_delayed
(
workflow_name
,
oids
,
**
kwargs
):
"""
Will start given workflow, by name, using the given
list of BibWorkflowObject ids (oids) from beginning.
Special custom keyword arguments can be given to the workflow engine
in order to pass certain variables to the tasks in the workflow execution,
such as a taskid from BibSched, the current user etc.
Starts the workflow *delayed* by using one of the defined workers
available. For example, enqueueing the execution of the workflow in
a task queue such as Celery (http://celeryproject.org).
@param workflow_name: the workflow name to run. Ex: "my_workflow"
@type workflow_name: str
@param oids: list of BibWorkflowObject id's to run.
@type oids: list of strings/integers
@return: BibWorkflowEngine that ran the workflow.
"""
from
invenio.bibworkflow_model
import
BibWorkflowObject
objects
=
BibWorkflowObject
.
query
.
filter
(
BibWorkflowObject
.
id
.
in_
(
list
(
oids
)))
.
all
()
return
start_delayed
(
workflow_name
,
objects
,
**
kwargs
)
def
continue_oid
(
oid
,
start_point
=
"continue_next"
,
**
kwargs
):
"""
Continue workflow asociated with object given by object id (oid).
It can start from previous, current or next task.
Special custom keyword arguments can be given to the workflow engine
in order to pass certain variables to the tasks in the workflow execution,
such as a taskid from BibSched, the current user etc.
Starts the workflow *delayed* by using one of the defined workers
available. For example, enqueueing the execution of the workflow in
a task queue such as Celery (http://celeryproject.org).
@param oid: id of BibWorkflowObject to run.
@type oid: string
@param start_point: where should the workflow start from? One of:
* restart_prev: will restart from the previous task
* continue_next: will continue to the next task
* restart_task: will restart the current task
@type start_point: string
@return: BibWorkflowEngine that ran the workflow
"""
from
invenio.bibworkflow_worker_engine
import
continue_worker
return
continue_worker
(
oid
,
start_point
,
**
kwargs
)
def
continue_oid_delayed
(
oid
,
start_point
=
"continue_next"
,
**
kwargs
):
"""
Continue workflow associated with object given by object id (oid).
It can start from previous, current or next task.
Special custom keyword arguments can be given to the workflow engine
in order to pass certain variables to the tasks in the workflow execution,
such as a taskid from BibSched, the current user etc.
Starts the workflow *delayed* by using one of the defined workers
available. For example, enqueueing the execution of the workflow in
a task queue such as Celery (http://celeryproject.org).
@param oid: id of BibWorkflowObject to run.
@type oid: string
@param start_point: where should the workflow start from? One of:
* restart_prev: will restart from the previous task
* continue_next: will continue to the next task
* restart_task: will restart the current task
@type start_point: string
@return: BibWorkflowEngine that ran the workflow
"""
if
not
CFG_BIBWORKFLOW_WORKER
:
raise
InvenioBibWorkflowWorkerUnavailable
(
'No worker configured'
)
return
WORKER
()
.
continue_worker
(
oid
,
start_point
,
**
kwargs
)
def
resume_objects_in_workflow
(
id_workflow
,
start_point
=
"continue_next"
,
**
kwargs
):
"""
Resume workflow for any halted or failed objects from given workflow.
This is a generator function and will yield every workflow created per
object which needs to be resumed.
To identify the original workflow containing the halted objects,
the ID (or UUID) of the workflow is required. The starting point
to resume the objects from can optionally be given. By default,
the objects resume with their next task in the workflow.
@param id_workflow: id of Workflow with objects to resume.
@type id_workflow: string
@param start_point: where should the workflow start from? One of:
* restart_prev: will restart from the previous task
* continue_next: will continue to the next task
* restart_task: will restart the current task
@type start_point: string
@yield: BibWorkflowEngine that ran the workflow
"""
from
invenio.bibworkflow_model
import
BibWorkflowObject
from
invenio.bibworkflow_config
import
CFG_OBJECT_VERSION
# Resume workflow if there are objects to resume
objects
=
BibWorkflowObject
.
query
.
filter
(
BibWorkflowObject
.
id_workflow
==
id_workflow
,
BibWorkflowObject
.
version
==
CFG_OBJECT_VERSION
.
HALTED
)
.
all
()
for
obj
in
objects
:
yield
continue_oid
(
oid
=
obj
.
id
,
start_point
=
start_point
,
**
kwargs
)
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