/usr/lib/python2.7/dist-packages/Pegasus/netlogger/analysis/workflow/stampede_wf_statistics.py is in pegasus-wms 4.4.0+dfsg-7.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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__author__ = "Rajiv Mayani"
from Pegasus.netlogger.analysis.modules._base import SQLAlchemyInit
from Pegasus.netlogger.analysis.schema.schema_check import ErrorStrings, SchemaCheck, SchemaVersionError
from Pegasus.netlogger.analysis.schema.stampede_schema import *
from Pegasus.netlogger.nllog import DoesLogging
from Pegasus.netlogger.analysis.error.Error import StampedeDBNotFoundError
# Main stats class.
class StampedeWorkflowStatistics(SQLAlchemyInit, DoesLogging):
def __init__(self, connString=None, expand_workflow=True):
if connString is None:
raise ValueError("connString is required")
DoesLogging.__init__(self)
try:
SQLAlchemyInit.__init__(self, connString, initializeToPegasusDB)
except exc.OperationalError, e:
self.log.error('init', msg='%s' % ErrorStrings.get_init_error(e))
raise StampedeDBNotFoundError
# Check the schema version before proceeding.
self.s_check = SchemaCheck(self.session)
if not self.s_check.check_schema():
raise SchemaVersionError
self._expand = expand_workflow
self._root_wf_id = []
self._root_wf_uuid = []
self.all_workflows = None
self._job_filter_mode = None
self._time_filter_mode = None
self._host_filter = None
self._xform_filter = {'include':None, 'exclude':None}
self._wfs = []
def initialize(self, root_wf_uuid = None, root_wf_id = None):
self.log.debug('initialize')
if root_wf_uuid is None and root_wf_id is None:
self.log.error('initialize',
msg='Either root_wf_uuid or root_wf_id is required')
return False
if root_wf_uuid == '*' or root_wf_id == '*':
self.all_workflows = True
q = self.session.query(Workflow.root_wf_id, Workflow.wf_id, Workflow.wf_uuid)
if root_wf_uuid:
if root_wf_uuid == '*':
q = q.filter(Workflow.root_wf_id == Workflow.wf_id)
else:
q = q.filter(Workflow.wf_uuid.in_(root_wf_uuid))
else:
if root_wf_id == '*':
q = q.filter(Workflow.root_wf_id == Workflow.wf_id)
else:
q = q.filter(Workflow.root_wf_id.in_(root_wf_id))
result = q.all()
for workflow in result:
if workflow.root_wf_id != workflow.wf_id:
self.log.error('initialize',
msg='Only root level workflows are supported %s' % workflow.wf_uuid)
return False
self._root_wf_id.append(workflow.wf_id)
self._root_wf_uuid.append(workflow.wf_uuid)
if root_wf_uuid and root_wf_uuid != '*' and len(root_wf_uuid) != len(self._root_wf_uuid):
self.log.error('initialize',
msg='Some workflows were not found')
return False
elif root_wf_id and root_wf_id != '*' and len(root_wf_id) != len(self._root_wf_id):
self.log.error('initialize',
msg='Some workflows were not found')
return False
# Initialize filters with default value
self.set_job_filter()
self.set_time_filter()
self.set_host_filter()
self.set_transformation_filter()
return True
def __filter_all(self, q, w=None):
if w is None:
w = Workflow
if not self.all_workflows:
q = q.filter(w.root_wf_id.in_(self._root_wf_id))
return q
def __filter_roots_only(self, q, w=None):
if w is None:
w = Workflow
if self.all_workflows:
q = q.filter(w.root_wf_id == w.wf_id)
else:
q = q.filter(w.wf_id.in_(self._root_wf_id))
return q
def get_workflow_ids(self):
q = self.session.query(Workflow.root_wf_id, Workflow.wf_id, Workflow.wf_uuid)
q = self.__filter_all(q)
q = q.order_by(Workflow.root_wf_id)
return q.all()
def get_workflow_details(self):
"""
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Statistics+file#WorkflowStatisticsfile-Workflowdetails
"""
q = self.session.query(Workflow.wf_id, Workflow.wf_uuid,
Workflow.parent_wf_id, Workflow.root_wf_id, Workflow.dag_file_name,
Workflow.submit_hostname, Workflow.submit_dir, Workflow.planner_arguments,
Workflow.user, Workflow.grid_dn, Workflow.planner_version,
Workflow.dax_label, Workflow.dax_version)
q = self.__filter_roots_only(q)
return q.all()
def get_total_tasks_status(self):
"""
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Summary#WorkflowSummary-Totaltask
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Statistics+file#WorkflowStatisticsfile-Totaltasks
"""
q = self.session.query(Task.task_id)
if self._expand:
q = self.__filter_all(q)
else:
q = self.__filter_roots_only(q)
q = q.filter(Task.wf_id == Workflow.wf_id)
q = q.filter(Task.job_id == Job.job_id)
if self._get_job_filter(Task) is not None:
q = q.filter(self._get_job_filter(Task))
return q.count()
def _base_task_statistics_query(self, success=True, pmc=False):
w = orm.aliased(Workflow, name='w')
j = orm.aliased(Job, name='j')
ji = orm.aliased(JobInstance, name='ji')
sq_1 = self.session.query(w.wf_id,
j.job_id,
ji.job_instance_id.label('jiid'),
ji.job_submit_seq.label('jss'),
func.max(ji.job_submit_seq).label('maxjss'))
if pmc :
sq_1 = self.session.query(w.wf_id,
j.job_id,
ji.job_instance_id.label('jiid'),
ji.job_submit_seq.label('jss'))
sq_1 = sq_1.join(j, w.wf_id == j.wf_id)
sq_1 = sq_1.join(ji, j.job_id == ji.job_id)
if self._expand:
sq_1 = self.__filter_all(sq_1, w)
else:
sq_1 = self.__filter_roots_only(sq_1, w)
if not pmc:
sq_1 = sq_1.group_by(j.job_id)
if self._get_job_filter(j) is not None:
sq_1 = sq_1.filter(self._get_job_filter(j))
sq_1 = sq_1.subquery('t')
# PM-713 - Change to func.count(distinct(Invocation.abs_task_id)) from func.count(Invocation.exitcode)
sq_2 = self.session.query(sq_1.c.wf_id, func.count(distinct(Invocation.abs_task_id)).label('count'))
sq_2 = sq_2.select_from(orm.join(sq_1, Invocation, sq_1.c.jiid == Invocation.job_instance_id))
if not pmc:
sq_2 = sq_2.filter(sq_1.c.jss == sq_1.c.maxjss)
sq_2 = sq_2.filter(Invocation.abs_task_id != None)
if success:
sq_2 = sq_2.filter(Invocation.exitcode == 0)
else:
sq_2 = sq_2.filter(Invocation.exitcode != 0)
sq_2 = sq_2.group_by(sq_1.c.wf_id)
return sq_2
def _task_statistics_query_sum(self, success=True, pmc=False):
s = self._base_task_statistics_query(success,pmc).subquery('tt')
q = self.session.query(func.sum(s.c.count).label('task_count'))
return q.one()[0] or 0
def get_total_succeeded_tasks_status(self,pmc=False):
return self._task_statistics_query_sum(True,pmc)
def get_total_failed_tasks_status(self):
return self._task_statistics_query_sum(False,False)
def get_total_tasks_retries(self):
"""
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Summary#WorkflowSummary-Totaltaskretries
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Statistics+file#WorkflowStatisticsfile-Totaltaskretries
"""
sq_1 = self.session.query(Workflow.wf_id.label('wid'), Invocation.abs_task_id.label('tid'))
if self._expand:
sq_1 = self.__filter_all(sq_1)
else:
sq_1 = self.__filter_roots_only(sq_1)
sq_1 = sq_1.filter(Job.wf_id == Workflow.wf_id)
sq_1 = sq_1.filter(Invocation.wf_id == Workflow.wf_id)
sq_1 = sq_1.filter(Job.job_id == JobInstance.job_id)
if self._get_job_filter() is not None:
sq_1 = sq_1.filter(self._get_job_filter())
sq_1 = sq_1.filter(JobInstance.job_instance_id == Invocation.job_instance_id)
sq_1 = sq_1.filter(Invocation.abs_task_id != None)
i = 0
f = {}
for row in sq_1.all():
i += 1
if not f.has_key(row):
f[row] = True
return i - len(f.keys())
def get_total_jobs_status(self):
"""
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Summary#WorkflowSummary-Totaljobs
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Statistics+file#WorkflowStatisticsfile-Totaljobs
"""
q = self.session.query(Job.job_id)
if self._expand:
q = self.__filter_all(q)
else:
q = self.__filter_roots_only(q)
q = q.filter(Job.wf_id == Workflow.wf_id)
if self._get_job_filter() is not None:
q = q.filter(self._get_job_filter())
return q.count()
def get_total_succeeded_failed_jobs_status(self):
"""
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Summary#WorkflowSummary-Totalsucceeded_failed_jobs
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Statistics+file#WorkflowStatisticsfile-Totalsucceededfailedjobs
"""
JobInstanceSub = orm.aliased(JobInstance, name='JobInstanceSub')
sq_1 = self.session.query(func.max(JobInstanceSub.job_submit_seq).label('jss'), JobInstanceSub.job_id.label('jobid'))
if self._expand:
sq_1 = self.__filter_all(sq_1)
else:
sq_1 = self.__filter_roots_only(sq_1)
sq_1 = sq_1.filter(Workflow.wf_id == Job.wf_id)
sq_1 = sq_1.filter(Job.job_id == JobInstanceSub.job_id)
if self._get_job_filter() is not None:
sq_1 = sq_1.filter(self._get_job_filter())
sq_1 = sq_1.group_by(JobInstanceSub.job_id).subquery()
q = self.session.query(
func.sum (case([(JobInstance.exitcode == 0, 1)], else_=0)).label ("succeeded"),
func.sum (case([(JobInstance.exitcode != 0, 1)], else_=0)).label ("failed"))
q = q.filter(JobInstance.job_id == sq_1.c.jobid)
q = q.filter(JobInstance.job_submit_seq == sq_1.c.jss)
return q.one()
def get_total_jobs_retries(self):
"""
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Summary#WorkflowSummary-TotalJobRetries
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Statistics+file#WorkflowStatisticsfile-TotalJobRetries
"""
d_or_d = self._dax_or_dag_cond()
sq_1 = self.session.query(func.count(Job.job_id))
if self._expand:
sq_1 = self.__filter_all(sq_1)
else:
sq_1 = self.__filter_roots_only(sq_1)
sq_1 = sq_1.filter(Job.wf_id == Workflow.wf_id)
sq_1 = sq_1.filter(Job.job_id == JobInstance.job_id)
if self._get_job_filter() is not None:
sq_1 = sq_1.filter(self._get_job_filter())
sq_1 = sq_1.subquery()
sq_2 = self.session.query(func.count(distinct(JobInstance.job_id)))
if self._expand:
sq_2 = self.__filter_all(sq_2)
else:
sq_2 = self.__filter_roots_only(sq_2)
sq_2 = sq_2.filter(Job.wf_id == Workflow.wf_id)
sq_2 = sq_2.filter(Job.job_id == JobInstance.job_id)
if self._get_job_filter() is not None:
sq_2 = sq_2.filter(self._get_job_filter())
sq_2 = sq_2.subquery()
q = self.session.query((sq_1.as_scalar() - sq_2.as_scalar()).label('total_job_retries'))
return q.all()[0].total_job_retries
def get_workflow_states(self):
"""
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Summary#WorkflowSummary-Workflowwalltime
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Statistics+file#WorkflowStatisticsfile-Workflowwalltime
"""
q = self.session.query(Workflowstate.wf_id, Workflowstate.state, Workflowstate.timestamp,
Workflowstate.restart_count, Workflowstate.status)
if self.all_workflows:
q = q.filter(Workflowstate.wf_id == Workflow.wf_id)
q = q.filter(Workflow.root_wf_id == Workflow.wf_id)
else:
q = q.filter(Workflowstate.wf_id.in_(self._root_wf_id))
q = q.order_by(Workflowstate.wf_id, Workflowstate.restart_count)
return q.all()
def get_workflow_cum_job_wall_time(self):
"""
select sum(remote_duration * multiplier_factor) FROM
invocation as invoc, job_instance as ji WHERE
invoc.task_submit_seq >= 0 and
invoc.job_instance_id = ji.job_instance_id and
invoc.wf_id in (1,2,3) and
invoc.transformation <> 'condor::dagman'
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Summary#WorkflowSummary-Workflowcumulativejobwalltime
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Statistics+file#WorkflowStatisticsfile-Workflowcumulativejobwalltime
"""
q = self.session.query(cast(func.sum(Invocation.remote_duration * JobInstance.multiplier_factor), Float))
q = q.filter(Invocation.task_submit_seq >= 0)
q = q.filter(Invocation.job_instance_id == JobInstance.job_instance_id)
if self._expand:
q = self.__filter_all(q)
q = q.filter(Invocation.wf_id == Workflow.wf_id)
else:
if self.all_workflows:
q = self.__filter_roots_only(q)
q = q.filter (Invocation.wf_id == Workflow.wf_id)
else:
q = q.filter(Invocation.wf_id.in_(self._root_wf_id))
q = q.filter(Invocation.transformation != 'condor::dagman')
return q.first()[0]
def get_submit_side_job_wall_time(self):
"""
select sum(local_duration * multiplier_factor) FROM
job_instance as jb_inst, job as jb WHERE
jb_inst.job_id = jb.job_id and
jb.wf_id in (1,2,3) and
((not (jb.type_desc ='dax' or jb.type_desc ='dag'))
or
((jb.type_desc ='dax' or jb.type_desc ='dag') and jb_inst.subwf_id is NULL)
)
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Summary#WorkflowSummary-Cumulativejobwalltimeasseenfromsubmitside
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Statistics+file#WorkflowStatisticsfile-Cumulativejobwalltimeasseenfromsubmitside
"""
q = self.session.query(cast(func.sum(JobInstance.local_duration * JobInstance.multiplier_factor), Float).label('wall_time'))
q = q.filter(JobInstance.job_id == Job.job_id)
if self._expand:
q = self.__filter_all(q)
q = q.filter(Job.wf_id == Workflow.wf_id)
else:
if self.all_workflows:
q = self.__filter_roots_only(q)
q = q.filter (Job.wf_id == Workflow.wf_id)
else:
q = q.filter(Job.wf_id.in_(self._root_wf_id))
if self._expand:
d_or_d = self._dax_or_dag_cond()
q = q.filter(or_(not_(d_or_d), and_(d_or_d, JobInstance.subwf_id == None)))
return q.first().wall_time
def get_workflow_retries(self):
"""
https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Statistics+file#WorkflowStatisticsfile-Workflowretries
"""
sq_1 = self.session.query(func.max(Workflowstate.restart_count).label('retry'))
if self._expand:
sq_1 = self.__filter_all(sq_1)
else:
sq_1 = self.__filter_roots_only(sq_1)
sq_1 = sq_1.filter(Workflowstate.wf_id == Workflow.wf_id)
sq_1 = sq_1.group_by(Workflowstate.wf_id)
sq_1 = sq_1.subquery()
q = self.session.query(func.sum(sq_1.c.retry).label('total_retry'))
return q.one().total_retry
def get_transformation_statistics(self):
"""
SELECT transformation,
count(invocation_id) as count,
min(remote_duration * multiplier_factor) as min,
count(CASE WHEN (invoc.exitcode = 0 and invoc.exitcode is NOT NULL) THEN invoc.exitcode END) AS success,
count(CASE WHEN (invoc.exitcode != 0 and invoc.exitcode is NOT NULL) THEN invoc.exitcode END) AS failure,
max(remote_duration * multiplier_factor) as max,
avg(remote_duration * multiplier_factor) as avg,
sum(remote_duration * multiplier_factor) as sum FROM
invocation as invoc, job_instance as ji WHERE
invoc.job_instance_id = ji.job_instance_id and
invoc.wf_id IN (1,2,3) GROUP BY transformation
"""
q = self.session.query(Invocation.transformation,
func.count(Invocation.invocation_id).label('count'),
cast(func.min(Invocation.remote_duration * JobInstance.multiplier_factor), Float).label('min'),
func.count(case([(Invocation.exitcode == 0, Invocation.exitcode)])).label('success'),
func.count(case([(Invocation.exitcode != 0, Invocation.exitcode)])).label('failure'),
cast(func.max(Invocation.remote_duration * JobInstance.multiplier_factor), Float).label('max'),
cast(func.avg(Invocation.remote_duration * JobInstance.multiplier_factor), Float).label('avg'),
cast(func.sum(Invocation.remote_duration * JobInstance.multiplier_factor), Float).label('sum'))
q = q.filter(Workflow.wf_id == Invocation.wf_id)
q = q.filter(Invocation.job_instance_id == JobInstance.job_instance_id)
q = self.__filter_all(q)
q = q.group_by(Invocation.transformation)
return q.all()
def get_invocation_by_time(self):
"""
https://confluence.pegasus.isi.edu/display/pegasus/Additional+queries
"""
q = self.session.query(
(cast(Invocation.start_time / self._get_date_divisors(), Integer)).label('date_format'),
func.count(Invocation.invocation_id).label('count'),
cast(func.sum(Invocation.remote_duration), Float).label('total_runtime')
)
q = self.__filter_all(q)
q = q.filter(Invocation.wf_id == Workflow.wf_id)
if self._get_xform_filter() is not None:
q = q.filter(self._get_xform_filter())
q = q.group_by('date_format').order_by('date_format')
return q.all()
def get_invocation_by_time_per_host(self, host=None):
"""
https://confluence.pegasus.isi.edu/display/pegasus/Additional+queries
"""
q = self.session.query(
(cast(Invocation.start_time / self._get_date_divisors(), Integer)).label('date_format'),
Host.hostname.label('host_name'),
func.count(Invocation.invocation_id).label('count'),
cast(func.sum(Invocation.remote_duration), Float).label('total_runtime')
)
q = self.__filter_all(q)
q = q.filter(Invocation.wf_id == Workflow.wf_id)
q = q.filter(JobInstance.job_instance_id == Invocation.job_instance_id)
q = q.filter(JobInstance.host_id == Host.host_id)
if self._get_host_filter() is not None:
q = q.filter(self._get_host_filter())
if self._get_xform_filter() is not None:
q = q.filter(self._get_xform_filter())
q = q.group_by('date_format', 'host_name').order_by('date_format')
return q.all()
def get_jobs_run_by_time_per_host(self):
"""
https://confluence.pegasus.isi.edu/display/pegasus/Additional+queries
"""
q = self.session.query(
(cast(Jobstate.timestamp / self._get_date_divisors(), Integer)).label('date_format'),
Host.hostname.label('host_name'),
func.count(JobInstance.job_instance_id).label('count'),
cast(func.sum(JobInstance.local_duration), Float).label('total_runtime')
)
q = self.__filter_all(q)
q = q.filter(Workflow.wf_id == Job.wf_id)
q = q.filter(Job.job_id == JobInstance.job_id)
q = q.filter(JobInstance.job_instance_id == Jobstate.job_instance_id)
q = q.filter(JobInstance.host_id == Host.host_id)
q = q.filter(Jobstate.state == 'EXECUTE')
if self._get_host_filter() is not None:
q = q.filter(self._get_host_filter())
if self._get_job_filter() is not None:
q = q.filter(self._get_job_filter())
q = q.group_by('date_format', 'host_name').order_by('date_format')
return q.all()
def get_jobs_run_by_time(self):
"""
https://confluence.pegasus.isi.edu/display/pegasus/Additional+queries
"""
q = self.session.query(
(cast(Jobstate.timestamp / self._get_date_divisors(), Integer)).label('date_format'),
func.count(JobInstance.job_instance_id).label('count'),
cast(func.sum(JobInstance.local_duration), Float).label('total_runtime')
)
q = q.filter(Workflow.wf_id == Job.wf_id)
q = q.filter(Job.job_id == JobInstance.job_id)
q = q.filter(JobInstance.job_instance_id == Jobstate.job_instance_id)
q = self.__filter_all(q)
q = q.filter(Jobstate.state == 'EXECUTE')
q = q.filter(JobInstance.local_duration != None)
if self._get_job_filter() is not None:
q = q.filter(self._get_job_filter())
q = q.group_by('date_format').order_by('date_format')
return q.all()
def close(self):
self.log.debug('close')
self.disconnect()
def set_job_filter(self, filter='all'):
modes = ['all', 'nonsub', 'subwf', 'dax', 'dag', 'compute', 'stage-in-tx',
'stage-out-tx', 'registration', 'inter-site-tx', 'create-dir',
'staged-compute', 'cleanup', 'chmod']
try:
modes.index(filter)
self._job_filter_mode = filter
self.log.debug('set_job_filter', msg='Setting filter to: %s' % filter)
except:
self._job_filter_mode = 'all'
self.log.error('set_job_filter', msg='Unknown job filter %s - setting to all' % filter)
def set_time_filter(self, filter='month'):
modes = ['month', 'week', 'day', 'hour']
try:
modes.index(filter)
self._time_filter_mode = filter
self.log.debug('set_time_filter', msg='Setting filter to: %s' % filter)
except:
self._job_filter_mode = 'month'
self.log.error('set_time_filter', msg='Unknown time filter %s - setting to month' % filter)
def set_host_filter(self, host=None):
"""
The host argument can either be a string/single hostname or
it can be a list/array of hostnames.
"""
self._host_filter = host
def set_transformation_filter(self, include=None, exclude=None):
"""
Either of these args can either be a single string/xform type or
it can be a list/array of xform types.
Both arguments can not be set at the same time. If they are,
the program will log an error and not do any filtering.
"""
self._xform_filter['include'] = include
self._xform_filter['exclude'] = exclude
def get_schema_version(self):
return self.s_check.check_version()
#
# Status of initially planned wf components.
#
#
# The following block of queries are documented here:
# https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Summary
# and
# https://confluence.pegasus.isi.edu/display/pegasus/Workflow+Statistics+file
#
def _dax_or_dag_cond(self, JobO=Job):
return or_(JobO.type_desc == 'dax', JobO.type_desc == 'dag')
def _get_job_filter(self, JobO=Job):
filters = {
'all': None,
'nonsub': not_(self._dax_or_dag_cond(JobO)),
'subwf': self._dax_or_dag_cond(JobO),
'dax': JobO.type_desc == 'dax',
'dag': JobO.type_desc == 'dag',
'compute': JobO.type_desc == 'compute',
'stage-in-tx': JobO.type_desc == 'stage-in-tx',
'stage-out-tx': JobO.type_desc == 'stage-out-tx',
'registration': JobO.type_desc == 'registration',
'inter-site-tx': JobO.type_desc == 'inter-site-tx',
'create-dir': JobO.type_desc == 'create-dir',
'staged-compute': JobO.type_desc == 'staged-compute',
'cleanup': JobO.type_desc == 'cleanup',
'chmod': JobO.type_desc == 'chmod',
}
return filters[self._job_filter_mode]
#
# Runtime queries
# https://confluence.pegasus.isi.edu/display/pegasus/Additional+queries
#
def _get_date_divisors(self):
vals = {
'month': 2629743,
'week': 604800,
'day': 86400,
'hour': 3600
}
return vals[self._time_filter_mode]
def _get_host_filter(self):
if self._host_filter is None:
return None
elif type(self._host_filter) == type('str'):
return Host.hostname == self._host_filter
elif type(self._host_filter) == type([]):
return Host.hostname.in_(self._host_filter)
else:
return None
def _get_xform_filter(self):
if self._xform_filter['include'] is not None and \
self._xform_filter['exclude'] is not None:
self.log.error('_get_xform_filter',
msg='Can\'t set both transform include and exclude - reset s.set_transformation_filter()')
return None
elif self._xform_filter['include'] is None and \
self._xform_filter['exclude'] is None:
return None
elif self._xform_filter['include'] is not None:
if type(self._xform_filter['include']) == type('str'):
return Invocation.transformation == self._xform_filter['include']
elif type(self._xform_filter['include']) == type([]):
return Invocation.transformation.in_(self._xform_filter['include'])
else:
return None
elif self._xform_filter['exclude'] is not None:
if type(self._xform_filter['exclude']) == type('str'):
return Invocation.transformation != self._xform_filter['exclude']
elif type(self._xform_filter['exclude']) == type([]):
return not_(Invocation.transformation.in_(self._xform_filter['exclude']))
else:
return None
pass
else:
return None
if __name__ == '__main__':
pass
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