def process_marcpatterns(params, transforms, input_model, main_phase=False):
if main_phase:
# Need to sort our way through the input model so that the materializations occur
# at the same place each time, otherwise canonicalization fails due to the
# addition of the subfield context (at the end of materialize())
# XXX Is the int() cast necessary? If not we could do key=operator.itemgetter(0)
input_model_iter= sorted(list(params['input_model']), key=lambda x: int(x[0]))
else:
input_model_iter= params['input_model']
params['to_postprocess'] = []
for lid, marc_link in input_model_iter:
origin, taglink, val, attribs = marc_link
if taglink == MARCXML_NS + '/leader':
params['leader'] = leader = val
continue
#Sort out attributes
params['indicators'] = indicators = { k: v for k, v in attribs.items() if k.startswith('ind') }
params['subfields'] = subfields = attribs.copy() # preserve class
for k in list(subfields.keys()):
if k[:3] in ('tag', 'ind'):
del subfields[k]
params['code'] = tag = attribs['tag']
if taglink.startswith(MARCXML_NS + '/control'):
#No indicators on control fields. Turn them off, in effect
indicator_list = ('#', '#')
key = 'tag-' + tag
if tag == '006':
params['fields006'].append(val)
if tag == '007':
params['fields007'].append(val)
if tag == '008':
params['field008'] = val
if main_phase:
params['transform_log'].append((tag, key))
params['fields_used'].append((tag,))
elif taglink.startswith(MARCXML_NS + '/data'):
indicator_list = ((attribs.get('ind1') or ' ')[0].replace(' ', '#'), (attribs.get('ind2') or ' ')[0].replace(' ', '#'))
key = 'tag-' + tag
#logger.debug('indicators: ', repr(indicators))
#indicator_list = (indicators['ind1'], indicators['ind2'])
if main_phase: params['fields_used'].append(tuple([tag] + list(subfields.keys())))
#This is where we check each incoming MARC link to see if it matches a transform into an output link (e.g. renaming 001 to 'controlCode')
to_process = []
#Start with most specific matches, then to most general
# "?" syntax in lookups is a single char wildcard
#First with subfields, with & without indicators:
for k, v in subfields.items():
#if indicator_list == ('#', '#'):
lookups = [
'{0}-{1}{2}${3}'.format(tag, indicator_list[0], indicator_list[1], k),
'{0}-?{2}${3}'.format(tag, indicator_list[0], indicator_list[1], k),
'{0}-{1}?${3}'.format(tag, indicator_list[0], indicator_list[1], k),
'{0}${1}'.format(tag, k),
]
for valitems in v:
for lookup in lookups:
if lookup in transforms:
to_process.append((transforms[lookup], valitems))
else:
# don't report on subfields for which a code-transform exists,
# disregard wildcards
if main_phase and not tag in transforms and '?' not in lookup:
params['dropped_codes'].setdefault(lookup,0)
params['dropped_codes'][lookup] += 1
#Now just the tag, with & without indicators
lookups = [
'{0}-{1}{2}'.format(tag, indicator_list[0], indicator_list[1]),
'{0}-?{2}'.format(tag, indicator_list[0], indicator_list[1]),
'{0}-{1}?'.format(tag, indicator_list[0], indicator_list[1]),
tag,
]
#Remember how many lookups were successful based on subfields
subfields_results_len = len(to_process)
for lookup in lookups:
if lookup in transforms:
to_process.append((transforms[lookup], val))
if main_phase and subfields_results_len == len(to_process) and not subfields:
# Count as dropped if subfields were not processed and theer were no matches on non-subfield lookups
params['dropped_codes'].setdefault(tag,0)
params['dropped_codes'][tag] += 1
mat_ent = functools.partial(materialize_entity, ctx_params=params, loop=params['loop'])
#Apply all the handlers that were found
for funcinfo, val in to_process:
#Support multiple actions per lookup
funcs = funcinfo if isinstance(funcinfo, tuple) else (funcinfo,)
for func in funcs:
extras = {
WORKID: params['workid'],
IID: params['instanceids'][0],
'indicators': indicators,
'logger': params['logger'],
'postprocessing': [],
'inputns': MARC,
}
#Build Versa processing context
#Should we include indicators?
#Should we be passing in taglik rather than tag?
ctx = bfcontext((origin, tag, val, subfields), input_model,
params['output_model'], extras=extras,
base=params['vocabbase'], idgen=mat_ent,
existing_ids=params['existing_ids'])
func(ctx)
params['to_postprocess'].extend(ctx.extras['postprocessing'])
if main_phase and not to_process:
#Nothing else has handled this data field; go to the fallback
fallback_rel_base = '../marcext/tag-' + tag
if not subfields:
#Fallback for control field: Captures MARC tag & value
params['output_model'].add(I(params['workid']), I(iri.absolutize(fallback_rel_base, params['vocabbase'])), val)
for k, v in subfields.items():
#Fallback for data field: Captures MARC tag, indicators, subfields & value
fallback_rel = '../marcext/{0}-{1}{2}-{3}'.format(
fallback_rel_base, indicator_list[0].replace('#', 'X'),
indicator_list[1].replace('#', 'X'), k)
#params['transform_log'].append((code, fallback_rel))
for valitem in v:
try:
params['output_model'].add(I(params['workid']), I(iri.absolutize(fallback_rel, params['vocabbase'])), valitem)
except ValueError as e:
control_code = list(marc_lookup(input_model, '001')) or ['NO 001 CONTROL CODE']
dumb_title = list(marc_lookup(input_model, '245$a')) or ['NO 245$a TITLE']
params['logger'].warning('{}\nSkipping statement for {}: "{}"'.format(e, control_code[0], dumb_title[0]))
extra_stmts = set() # prevent duplicate statements
extra_transforms = params['extra_transforms']
for origin, k, v in itertools.chain(
extra_transforms.process_leader(params),
extra_transforms.process_006(params['fields006'], params),
extra_transforms.process_007(params['fields007'], params),
extra_transforms.process_008(params['field008'], params)):
v = v if isinstance(v, tuple) else (v,)
for item in v:
o = origin or I(params['workid'])
if o and (o, k, item) not in extra_stmts:
params['output_model'].add(o, k, item)
extra_stmts.add((o, k, item))
return
def record_handler( loop, model, entbase=None, vocabbase=BL, limiting=None,
plugins=None, ids=None, postprocess=None, out=None,
logger=logging, transforms=TRANSFORMS,
extra_transforms=default_extra_transforms(),
canonical=False, **kwargs):
'''
loop - asyncio event loop
model - the Versa model for the record
entbase - base IRI used for IDs of generated entity resources
limiting - mutable pair of [count, limit] used to control the number of records processed
'''
_final_tasks = set() #Tasks for the event loop contributing to the MARC processing
plugins = plugins or []
if ids is None: ids = idgen(entbase)
#FIXME: For now always generate instances from ISBNs, but consider working this through the plugins system
instancegen = isbn_instancegen
existing_ids = set()
#Start the process of writing out the JSON representation of the resulting Versa
if out and not canonical: out.write('[')
first_record = True
try:
while True:
input_model = yield
leader = None
#Add work item record, with actual hash resource IDs based on default or plugged-in algo
#FIXME: No plug-in support yet
params = {'input_model': input_model, 'output_model': model, 'logger': logger, 'entbase': entbase, 'vocabbase': vocabbase, 'ids': ids, 'existing_ids': existing_ids, 'plugins': plugins}
workhash = record_hash_key(input_model)
workid = materialize_entity('Work', ctx_params=params, loop=loop, hash=workhash)
is_folded = workid in existing_ids
existing_ids.add(workid)
control_code = list(marc_lookup(input_model, '001')) or ['NO 001 CONTROL CODE']
dumb_title = list(marc_lookup(input_model, '245$a')) or ['NO 245$a TITLE']
logger.debug('Control code: {0}'.format(control_code[0]))
logger.debug('Uniform title: {0}'.format(dumb_title[0]))
logger.debug('Work hash result: {0} from \'{1}\''.format(workid, 'Work' + workhash))
if entbase:
workid = I(iri.absolutize(workid, entbase))
else:
workid = I(workid)
folded = [workid] if is_folded else []
model.add(workid, TYPE_REL, I(iri.absolutize('Work', vocabbase)))
params['workid'] = workid
params['folded'] = folded
#Figure out instances
params['materialize_entity'] = materialize_entity
instanceids = instancegen(params, loop, model)
if instanceids:
instanceid = instanceids[0]
params['leader'] = None
params['workid'] = workid
params['instanceids'] = instanceids
params['folded'] = folded
params['transforms'] = [] # set()
params['fields_used'] = []
params['dropped_codes'] = {}
#Defensive coding against missing leader or 008
field008 = leader = None
params['fields006'] = fields006 = []
params['fields007'] = fields007 = []
#Prepare cross-references (i.e. 880s)
#XXX: Figure out a way to declare in TRANSFRORMS? We might have to deal with non-standard relationship designators: https://github.com/lcnetdev/marc2bibframe/issues/83
xrefs = {}
remove_links = set()
add_links = []
for lid, marc_link in input_model:
origin, taglink, val, attribs = marc_link
if taglink == MARCXML_NS + '/leader' or taglink.startswith(MARCXML_NS + '/data/9'):
#900 fields are local and might not follow the general xref rules
params['leader'] = leader = val
continue
tag = attribs['tag']
for xref in attribs.get('6', []):
xref_parts = xref.split('-')
if len(xref_parts) < 2:
logger.debug('Invalid $6: {}'.format(xref_parts))
continue
xreftag, xrefid = xref_parts
#Locate the matching taglink
if tag == '880' and xrefid.startswith('00'):
#Special case, no actual xref, just the non-roman text
#Rule for 880s: merge in & add language indicator
langinfo = xrefid.split('/')[-1]
#Not using langinfo, really, at present because it seems near useless. Eventually we can handle by embedding a lang indicator token into attr values for later postprocessing
attribs['tag'] = xreftag
add_links.append((origin, MARCXML_NS + '/data/' + xreftag, val, attribs))
links = input_model.match(None, MARCXML_NS + '/data/' + xreftag)
for link in links:
#6 is the cross-reference subfield
for dest in link[ATTRIBUTES].get('6', []):
if [tag, xrefid] == dest.split('/')[0].split('-'):
if tag == '880':
#880s will be handled by merger via xref, so take out for main loop
#XXX: This does, however, make input_model no longer a true representation of the input XML. Problem?
remove_links.add(lid)
if xreftag == '880':
#Rule for 880s: merge in & add language indicator
langinfo = dest.split('/')[-1]
#Not using langinfo, really, at present because it seems near useless. Eventually we can handle by embedding a lang indicator token into attr values for later postprocessing
remove_links.add(lid)
copied_attribs = attribs.copy()
for k, v in link[ATTRIBUTES].items():
if k[:3] not in ('tag', 'ind'):
copied_attribs.setdefault(k, []).extend(v)
add_links.append((origin, taglink, val, copied_attribs))
for lid in remove_links:
input_model.remove(lid)
for linfo in add_links:
input_model.add(*linfo)
# hook for plugins interested in the input model
for plugin in plugins:
if BF_INPUT_TASK in plugin:
yield from plugin[BF_INPUT_TASK](loop, input_model, params)
# need to sort our way through the input model so that the materializations occur
# at the same place each time, otherwise canonicalization fails due to the
# addition of the subfield context (at the end of materialize())
for lid, marc_link in sorted(list(input_model), key=lambda x: int(x[0])):
origin, taglink, val, attribs = marc_link
if taglink == MARCXML_NS + '/leader':
params['leader'] = leader = val
continue
#Sort out attributes
params['indicators'] = indicators = { k: v for k, v in attribs.items() if k.startswith('ind') }
params['subfields'] = subfields = { k: v for k, v in attribs.items() if k[:3] not in ('tag', 'ind') }
params['code'] = tag = attribs['tag']
if taglink.startswith(MARCXML_NS + '/control'):
#No indicators on control fields. Turn them off, in effect
indicator_list = ('#', '#')
key = 'tag-' + tag
if tag == '006':
params['fields006'].append(val)
if tag == '007':
params['fields007'].append(val)
if tag == '008':
params['field008'] = field008 = val
params['transforms'].append((tag, key))
params['fields_used'].append((tag,))
elif taglink.startswith(MARCXML_NS + '/data'):
indicator_list = ((attribs.get('ind1') or ' ')[0].replace(' ', '#'), (attribs.get('ind2') or ' ')[0].replace(' ', '#'))
key = 'tag-' + tag
#logger.debug('indicators: ', repr(indicators))
#indicator_list = (indicators['ind1'], indicators['ind2'])
params['fields_used'].append(tuple([tag] + list(subfields.keys())))
#This is where we check each incoming MARC link to see if it matches a transform into an output link (e.g. renaming 001 to 'controlCode')
to_process = []
#Start with most specific matches, then to most general
# "?" syntax in lookups is a single char wildcard
#First with subfields, with & without indicators:
for k, v in subfields.items():
#if indicator_list == ('#', '#'):
lookups = [
'{0}-{1}{2}${3}'.format(tag, indicator_list[0], indicator_list[1], k),
'{0}-?{2}${3}'.format(tag, indicator_list[0], indicator_list[1], k),
'{0}-{1}?${3}'.format(tag, indicator_list[0], indicator_list[1], k),
'{0}${1}'.format(tag, k),
]
for valitems in v:
for lookup in lookups:
if lookup in transforms:
to_process.append((transforms[lookup], valitems))
else:
# don't report on subfields for which a code-transform exists,
# disregard wildcards
if not tag in transforms and '?' not in lookup:
params['dropped_codes'].setdefault(lookup,0)
params['dropped_codes'][lookup] += 1
#Now just the tag, with & without indicators
lookups = [
'{0}-{1}{2}'.format(tag, indicator_list[0], indicator_list[1]),
'{0}-?{2}'.format(tag, indicator_list[0], indicator_list[1]),
'{0}-{1}?'.format(tag, indicator_list[0], indicator_list[1]),
tag,
]
#Remember how many lookups were successful based on subfields
subfields_results_len = len(to_process)
for lookup in lookups:
if lookup in transforms:
to_process.append((transforms[lookup], val))
if subfields_results_len == len(to_process) and not subfields:
# Count as dropped if subfields were not processed and theer were no matches on non-subfield lookups
params['dropped_codes'].setdefault(tag,0)
params['dropped_codes'][tag] += 1
mat_ent = functools.partial(materialize_entity, ctx_params=params, loop=loop)
#Apply all the handlers that were found
for funcinfo, val in to_process:
#Support multiple actions per lookup
funcs = funcinfo if isinstance(funcinfo, tuple) else (funcinfo,)
for func in funcs:
extras = { WORKID: workid, IID: instanceid }
#Build Versa processing context
#Should we include indicators?
#Should we be passing in taglik rather than tag?
ctx = bfcontext((origin, tag, val, subfields), input_model, model, extras=extras, base=vocabbase, idgen=mat_ent, existing_ids=existing_ids)
func(ctx)
if not to_process:
#Nothing else has handled this data field; go to the fallback
fallback_rel_base = '../marcext/tag-' + tag
if not subfields:
#Fallback for control field: Captures MARC tag & value
model.add(I(workid), I(iri.absolutize(fallback_rel_base, vocabbase)), val)
for k, v in subfields.items():
#Fallback for data field: Captures MARC tag, indicators, subfields & value
fallback_rel = '../marcext/{0}-{1}{2}-{3}'.format(
fallback_rel_base, indicator_list[0].replace('#', 'X'),
indicator_list[1].replace('#', 'X'), k)
#params['transforms'].append((code, fallback_rel))
for valitem in v:
model.add(I(workid), I(iri.absolutize(fallback_rel, vocabbase)), valitem)
extra_stmts = set() # prevent duplicate statements
for origin, k, v in itertools.chain(
extra_transforms.process_leader(params),
extra_transforms.process_006(fields006, params),
extra_transforms.process_007(fields007, params),
extra_transforms.process_008(field008, params)):
v = v if isinstance(v, tuple) else (v,)
for item in v:
o = origin or I(workid)
if (o,k,item) not in extra_stmts:
model.add(o, k, item)
extra_stmts.add((o, k, item))
instance_postprocess(params)
logger.debug('+')
for plugin in plugins:
#Each plug-in is a task
#task = asyncio.Task(plugin[BF_MARCREC_TASK](loop, relsink, params), loop=loop)
if BF_MARCREC_TASK in plugin:
yield from plugin[BF_MARCREC_TASK](loop, model, params)
logger.debug("Pending tasks: %s" % asyncio.Task.all_tasks(loop))
#FIXME: This blocks and thus serializes the plugin operation, rather than the desired coop scheduling approach
#For some reason seting to async task then immediately deferring to next task via yield from sleep leads to the "yield from wasn't used with future" error (Not much clue at: https://codereview.appspot.com/7396044/)
#yield from asyncio.Task(asyncio.sleep(0.01), loop=loop)
#yield from asyncio.async(asyncio.sleep(0.01))
#yield from asyncio.sleep(0.01) #Basically yield to next task
#Can we somehow move this to passed-in postprocessing?
if out and not canonical and not first_record: out.write(',\n')
if out:
if not canonical:
first_record = False
last_chunk = None
#Using iterencode avoids building a big JSON string in memory, or having to resort to file pointer seeking
#Then again builds a big list in memory, so still working on opt here
for chunk in json.JSONEncoder().iterencode([ link for link in model ]):
if last_chunk is None:
last_chunk = chunk[1:]
else:
out.write(last_chunk)
last_chunk = chunk
if last_chunk: out.write(last_chunk[:-1])
#FIXME: Postprocessing should probably be a task too
if postprocess: postprocess()
#limiting--running count of records processed versus the max number, if any
limiting[0] += 1
if limiting[1] is not None and limiting[0] >= limiting[1]:
break
except GeneratorExit:
logger.debug('Completed processing {0} record{1}.'.format(limiting[0], '' if limiting[0] == 1 else 's'))
if out and not canonical: out.write(']')
#if not plugins: loop.stop()
for plugin in plugins:
#Each plug-in is a task
func = plugin.get(BF_FINAL_TASK)
if not func: continue
task = asyncio.Task(func(loop), loop=loop)
_final_tasks.add(task)
def task_done(task):
#print('Task done: ', task)
_final_tasks.remove(task)
#logger.debug((plugins))
#if plugins and len(_final_tasks) == 0:
#print("_final_tasks is empty, stopping loop.")
#loop = asyncio.get_event_loop()
# loop.stop()
#Once all the plug-in tasks are done, all the work is done
task.add_done_callback(task_done)
#print('DONE')
#raise
return
def record_handler(loop, relsink, entbase=None, vocabbase=BFZ, limiting=None, plugins=None, ids=None, postprocess=None, out=None, logger=logging, **kwargs):
'''
loop - asyncio event loop
entbase - base IRI used for IDs of generated entity resources
limiting - mutable pair of [count, limit] used to control the number of records processed
'''
_final_tasks = set() #Tasks for the event loop contributing to the MARC processing
plugins = plugins or []
if ids is None: ids = idgen(entbase)
#FIXME: For now always generate instances from ISBNs, but consider working this through th plugins system
instancegen = isbn_instancegen
existing_ids = set()
initialize(hashidgen=ids, existing_ids=existing_ids)
#Start the process of writing out the JSON representation of the resulting Versa
out.write('[')
first_record = True
try:
while True:
rec = yield
leader = None
#Add work item record, with actual hash resource IDs based on default or plugged-in algo
#FIXME: No plug-in support yet
workhash = record_hash_key(rec)
workid = ids.send('Work:' + workhash)
existing_ids.add(workid)
logger.debug('Uniform title from 245$a: {0}'.format(marc_lookup(rec, ['245$a'])))
logger.debug('Work hash result: {0} from \'{1}\''.format(workid, 'Work' + workhash))
if entbase: workid = I(iri.absolutize(workid, entbase))
relsink.add(I(workid), TYPE_REL, I(iri.absolutize('Work', vocabbase)))
params = {'workid': workid, 'rec': rec, 'logger': logger, 'model': relsink, 'entbase': entbase, 'vocabbase': vocabbase, 'ids': ids, 'existing_ids': existing_ids}
#Figure out instances
instanceids = instancegen(params)
if instanceids:
instanceid = instanceids[0]
params['instanceids'] = instanceids
params['transforms'] = [] # set()
params['fields_used'] = []
for row in rec:
code = None
if row[0] == LEADER:
params['leader'] = leader = row[1]
elif row[0] == CONTROLFIELD:
code, val = row[1], row[2]
key = 'tag-' + code
if code == '008':
params['field008'] = field008 = val
params['transforms'].append((code, key))
relsink.add(I(instanceid), I(iri.absolutize(key, vocabbase)), val)
params['fields_used'].append((code,))
elif row[0] == DATAFIELD:
code, xmlattrs, subfields = row[1], row[2], row[3]
#xmlattribs include are indicators
indicators = ((xmlattrs.get('ind1') or ' ')[0].replace(' ', '#'), (xmlattrs.get('ind2') or ' ')[0].replace(' ', '#'))
key = 'tag-' + code
handled = False
params['subfields'] = subfields
params['indicators'] = indicators
params['fields_used'].append(tuple([code] + list(subfields.keys())))
to_process = []
#logger.debug(repr(indicators))
if indicators != ('#', '#'):
#One or other indicator is set, so let's check the transforms against those
lookup = '{0}-{1}{2}'.format(*((code,) + indicators))
for k, v in subfields.items():
lookup = '{0}${1}'.format(code, k)
if lookup in TRANSFORMS: to_process.append((TRANSFORMS[lookup], v))
if code in TRANSFORMS: to_process.append((TRANSFORMS[code], ''))
#if code == '100':
# logger.debug(to_process)
#Apply all the handlers that were found
for func, val in to_process:
#Build Versa processing context
ctx = bfcontext(workid, code, [(workid, code, val, subfields)], relsink, base=vocabbase, hashidgen=ids, existing_ids=existing_ids)
new_stmts = func(ctx, workid, instanceid)
#FIXME: Use add
for s in new_stmts: relsink.add(*s)
#logger.debug('.')
if not to_process:
#Nothing else has handled this data field; go to the fallback
fallback_rel_base = 'tag-' + code
for k, v in subfields.items():
fallback_rel = fallback_rel_base + k
#params['transforms'].append((code, fallback_rel))
relsink.add(I(workid), I(iri.absolutize(fallback_rel, vocabbase)), v)
params['code'] = code
special_properties = {}
for k, v in process_leader(leader):
special_properties.setdefault(k, set()).add(v)
for k, v in process_008(field008):
special_properties.setdefault(k, set()).add(v)
params['special_properties'] = special_properties
#We get some repeated values out of leader & 008 processing, and we want to
#Remove dupes so we did so by working with sets then converting to lists
for k, v in special_properties.items():
special_properties[k] = list(v)
for item in v:
#logger.debug(v)
relsink.add(I(instanceid), I(iri.absolutize(k, vocabbase)), item)
instance_postprocess(params)
logger.debug('+')
for plugin in plugins:
#Each plug-in is a task
#task = asyncio.Task(plugin[BF_MARCREC_TASK](loop, relsink, params), loop=loop)
yield from plugin[BF_MARCREC_TASK](loop, relsink, params)
logger.debug("Pending tasks: %s" % asyncio.Task.all_tasks(loop))
#FIXME: This blocks and thus serializes the plugin operation, rather than the desired coop scheduling approach
#For some reason seting to async task then immediately deferring to next task via yield from sleep leads to the "yield from wasn't used with future" error (Not much clue at: https://codereview.appspot.com/7396044/)
#yield from asyncio.Task(asyncio.sleep(0.01), loop=loop)
#yield from asyncio.async(asyncio.sleep(0.01))
#yield from asyncio.sleep(0.01) #Basically yield to next task
if not first_record: out.write(',\n')
first_record = False
last_chunk = None
#Using iterencode avoids building a big JSON string in memory, or having to resort to file pointer seeking
#Then again builds a big list in memory, so still working on opt here
for chunk in json.JSONEncoder().iterencode([ link for link in relsink ]):
if last_chunk is None:
last_chunk = chunk[1:]
else:
out.write(last_chunk)
last_chunk = chunk
if last_chunk: out.write(last_chunk[:-1])
#FIXME: Postprocessing should probably be a task too
if postprocess: postprocess(rec)
#limiting--running count of records processed versus the max number, if any
limiting[0] += 1
if limiting[1] is not None and limiting[0] >= limiting[1]:
break
except GeneratorExit:
logger.debug('Completed processing {0} record{1}.'.format(limiting[0], '' if limiting[0] == 1 else 's'))
out.write(']')
#if not plugins: loop.stop()
for plugin in plugins:
#Each plug-in is a task
task = asyncio.Task(plugin[BF_FINAL_TASK](loop), loop=loop)
_final_tasks.add(task)
def task_done(task):
#print('Task done: ', task)
_final_tasks.remove(task)
#logger.debug((plugins))
#if plugins and len(_final_tasks) == 0:
#print("_final_tasks is empty, stopping loop.")
#loop = asyncio.get_event_loop()
# loop.stop()
#Once all the plug-in tasks are done, all the work is done
task.add_done_callback(task_done)
#print('DONE')
#raise
return
