def job_harvest_tabular_data(request,
org_id,
record_group_id,
hash_payload_filename=False):
"""
Create a new static XML Harvest Job
"""
# retrieve record group
record_group = RecordGroup.objects.filter(id=record_group_id).first()
# get validation scenarios
validation_scenarios = ValidationScenario.objects.all()
# get field mappers
field_mappers = FieldMapper.objects.all()
# get record identifier transformation scenarios
rits = RecordIdentifierTransformation.objects.all()
# get all bulk downloads
bulk_downloads = DPLABulkDataDownload.objects.all()
# if GET, prepare form
if request.method == 'GET':
# render page
return render(
request, 'core/job_harvest_tabular_data.html', {
'record_group': record_group,
'validation_scenarios': validation_scenarios,
'rits': rits,
'field_mappers': field_mappers,
'xml2kvp_handle': xml2kvp.XML2kvp(),
'bulk_downloads': bulk_downloads,
'breadcrumbs': breadcrumb_parser(request)
})
# if POST, submit job
if request.method == 'POST':
cjob = CombineJob.init_combine_job(
user=request.user,
record_group=record_group,
job_type_class=HarvestTabularDataJob,
job_params=request.POST,
files=request.FILES,
hash_payload_filename=hash_payload_filename)
# start job and update status
job_status = cjob.start_job()
# if job_status is absent, report job status as failed
if job_status == False:
cjob.job.status = 'failed'
cjob.job.save()
return redirect('record_group',
org_id=org_id,
record_group_id=record_group.id)
def published(request, subset=None):
"""
Published records
"""
# get instance of Published model
pub_records = PublishedRecords(subset=subset)
# get field counts
if pub_records.records.count() > 0:
# get count of fields for all published job indices
field_counts = pub_records.count_indexed_fields()
else:
field_counts = {}
# get field mappers
field_mappers = FieldMapper.objects.all()
# get published subsets with PublishedRecords static method
subsets = PublishedRecords.get_subsets()
# loop through subsets and enrich
for _ in subsets:
# add counts
counts = mc_handle.combine.misc.find_one(
{'_id': 'published_field_counts_%s' % _['name']})
# if counts not yet calculated, do now
if counts is None:
counts = PublishedRecords(
subset=_['name']).count_indexed_fields()
_['counts'] = counts
# generate hierarchy_dict
job_hierarchy = _stateio_prepare_job_hierarchy()
return render(request, 'core/published.html', {
'published': pub_records,
'field_mappers': field_mappers,
'xml2kvp_handle': xml2kvp.XML2kvp(),
'field_counts': field_counts,
'es_index_str': pub_records.esi.es_index_str,
'subsets': subsets,
'job_hierarchy_json': json.dumps(job_hierarchy),
'job_hierarchy_json_subset': json.dumps(
getattr(pub_records, 'ps_doc', {}).get('hierarchy', [])
),
'breadcrumbs': breadcrumb_parser(request)
})
def job_analysis(request):
"""
Run new analysis job
"""
# if GET, prepare form
if request.method == 'GET':
# retrieve jobs (limiting if needed)
input_jobs = Job.objects.all()
# limit if analysis_type set
analysis_type = request.GET.get('type', None)
subset = request.GET.get('subset', None)
if analysis_type == 'published':
# load PublishedRecords
published = PublishedRecords(subset=subset)
# define input_jobs
input_jobs = published.published_jobs
else:
published = None
# get validation scenarios
validation_scenarios = ValidationScenario.objects.all()
# get field mappers
field_mappers = FieldMapper.objects.all()
# get record identifier transformation scenarios
rits = RecordIdentifierTransformation.objects.all()
# get job lineage for all jobs (filtered to input jobs scope)
job_lineage = Job.get_all_jobs_lineage(jobs_query_set=input_jobs)
# get all bulk downloads
bulk_downloads = DPLABulkDataDownload.objects.all()
# render page
return render(
request, 'core/job_analysis.html', {
'job_select_type': 'multiple',
'input_jobs': input_jobs,
'published': published,
'validation_scenarios': validation_scenarios,
'rits': rits,
'field_mappers': field_mappers,
'xml2kvp_handle': xml2kvp.XML2kvp(),
'analysis_type': analysis_type,
'bulk_downloads': bulk_downloads,
'job_lineage_json': json.dumps(job_lineage)
})
# if POST, submit job
if request.method == 'POST':
cjob = CombineJob.init_combine_job(
user=request.user,
# TODO: record_group=record_group,
job_type_class=AnalysisJob,
job_params=request.POST)
# start job and update status
job_status = cjob.start_job()
# if job_status is absent, report job status as failed
if job_status is False:
cjob.job.status = 'failed'
cjob.job.save()
return redirect('analysis')
def job_merge(request, org_id, record_group_id):
"""
Merge multiple jobs into a single job
"""
# retrieve record group
record_group = RecordGroup.objects.get(pk=record_group_id)
# if GET, prepare form
if request.method == 'GET':
# get scope of input jobs and retrieve
input_job_scope = request.GET.get('scope', None)
# if all jobs, retrieve all jobs
if input_job_scope == 'all_jobs':
input_jobs = Job.objects.exclude(
job_type='AnalysisJob').all()
# else, limit to RecordGroup
else:
input_jobs = record_group.job_set.all()
# get validation scenarios
validation_scenarios = ValidationScenario.objects.all()
# get record identifier transformation scenarios
rits = RecordIdentifierTransformation.objects.all()
# get field mappers
field_mappers = FieldMapper.objects.all()
# get job lineage for all jobs (filtered to input jobs scope)
job_lineage = Job.get_all_jobs_lineage(jobs_query_set=input_jobs)
# get all bulk downloads
bulk_downloads = DPLABulkDataDownload.objects.all()
# render page
return render(request, 'core/job_merge.html', {
'job_select_type': 'multiple',
'record_group': record_group,
'input_jobs': input_jobs,
'input_job_scope': input_job_scope,
'validation_scenarios': validation_scenarios,
'rits': rits,
'field_mappers': field_mappers,
'xml2kvp_handle': xml2kvp.XML2kvp(),
'job_lineage_json': json.dumps(job_lineage),
'bulk_downloads': bulk_downloads,
'breadcrumbs': breadcrumb_parser(request)
})
# if POST, submit job
if request.method == 'POST':
cjob = CombineJob.init_combine_job(
user=request.user,
record_group=record_group,
job_type_class=MergeJob,
job_params=request.POST)
# start job and update status
job_status = cjob.start_job()
# if job_status is absent, report job status as failed
if job_status == False:
cjob.job.status = 'failed'
cjob.job.save()
return redirect('record_group', org_id=org_id, record_group_id=record_group.id)
def job_details(request, org_id, record_group_id, job_id):
LOGGER.debug('details for job id: %s', job_id)
# get CombineJob
cjob = CombineJob.get_combine_job(job_id)
# update status
cjob.job.update_status()
# detailed record count
record_count_details = cjob.job.get_detailed_job_record_count()
# get job lineage
job_lineage = cjob.job.get_lineage()
# get dpla_bulk_data_match
dpla_bulk_data_matches = cjob.job.get_dpla_bulk_data_matches()
# check if limiting to one, pre-existing record
get_q = request.GET.get('q', None)
# job details and job type specific augment
job_detail = cjob.job.job_details_dict
# mapped field analysis, generate if not part of job_details
if 'mapped_field_analysis' in job_detail.keys():
field_counts = job_detail['mapped_field_analysis']
else:
if cjob.job.finished:
field_counts = cjob.count_indexed_fields()
cjob.job.update_job_details(
{'mapped_field_analysis': field_counts}, save=True)
else:
LOGGER.debug('job not finished, not setting')
field_counts = {}
# TODO: What is this accomplishing?
# OAI Harvest
if isinstance(cjob, HarvestOAIJob):
pass
# Static Harvest
elif isinstance(cjob, HarvestStaticXMLJob):
pass
# Transform
elif isinstance(cjob, TransformJob):
pass
# Merge/Duplicate
elif isinstance(cjob, MergeJob):
pass
# Analysis
elif isinstance(cjob, AnalysisJob):
pass
# get published records, primarily for published sets
pub_records = PublishedRecords()
oai_sets = Record.objects(job_id=cjob.job.id).item_frequencies(field='oai_set')
# get published subsets with PublishedRecords static method
published_subsets = PublishedRecords.get_subsets()
# loop through subsets and enrich
for _ in published_subsets:
# add counts
counts = mc_handle.combine.misc.find_one(
{'_id': 'published_field_counts_%s' % _['name']})
# if counts not yet calculated, do now
if counts is None:
counts = PublishedRecords(
subset=_['name']).count_indexed_fields()
_['counts'] = counts
# get field mappers
field_mappers = FieldMapper.objects.all()
# return
return render(request, 'core/job_details.html', {
'cjob': cjob,
'record_group': cjob.job.record_group,
'record_count_details': record_count_details,
'field_counts': field_counts,
'field_mappers': field_mappers,
'xml2kvp_handle': xml2kvp.XML2kvp(),
'job_lineage_json': json.dumps(job_lineage),
'dpla_bulk_data_matches': dpla_bulk_data_matches,
'q': get_q,
'job_details': job_detail,
'pr': pub_records,
'published_subsets': published_subsets,
'es_index_str': cjob.esi.es_index_str,
'breadcrumbs': breadcrumb_parser(request),
'oai_sets': dict(oai_sets)
})
def job_update(request, org_id, record_group_id, job_id):
"""
Update Job in one of several ways:
- re-map and index
- run new / different validations
"""
# retrieve job
cjob = CombineJob.get_combine_job(int(job_id))
# if GET, prepare form
if request.method == 'GET':
# get validation scenarios
validation_scenarios = ValidationScenario.objects.all()
# get field mappers
field_mappers = FieldMapper.objects.all()
orig_fm_config_json = cjob.job.get_fm_config_json()
# get all bulk downloads
bulk_downloads = DPLABulkDataDownload.objects.all()
# get update type from GET params
update_type = request.GET.get('update_type', None)
# render page
return render(request, 'core/job_update.html', {
'cjob': cjob,
'update_type': update_type,
'validation_scenarios': validation_scenarios,
'field_mappers': field_mappers,
'bulk_downloads': bulk_downloads,
'xml2kvp_handle': xml2kvp.XML2kvp(),
'orig_fm_config_json': orig_fm_config_json,
'breadcrumbs': breadcrumb_parser(request)
})
# if POST, submit job
if request.method == 'POST':
LOGGER.debug('updating job')
LOGGER.debug(request.POST)
# retrieve job
cjob = CombineJob.get_combine_job(int(job_id))
# get update type
update_type = request.POST.get('update_type', None)
LOGGER.debug('running job update: %s', update_type)
# handle re-index
if update_type == 'reindex':
# get preferred metadata index mapper
fm_config_json = request.POST.get('fm_config_json')
# init re-index
cjob.reindex_bg_task(fm_config_json=fm_config_json)
# set gms
gmc = GlobalMessageClient(request.session)
gmc.add_gm({
'html': '<p><strong>Re-Indexing Job:</strong><br>%s</p>'
'<p><a href="%s"><button type="button" '
'class="btn btn-outline-primary btn-sm">View Background Tasks</button></a></p>' % (
cjob.job.name, reverse('bg_tasks')),
'class': 'success'
})
return redirect('job_details',
org_id=cjob.job.record_group.organization.id,
record_group_id=cjob.job.record_group.id,
job_id=cjob.job.id)
# handle new validations
if update_type == 'validations':
# get requested validation scenarios
validation_scenarios = request.POST.getlist(
'validation_scenario', [])
# get validations
validations = ValidationScenario.objects.filter(
id__in=[int(vs_id) for vs_id in validation_scenarios])
# init bg task
cjob.new_validations_bg_task([vs.id for vs in validations])
# set gms
gmc = GlobalMessageClient(request.session)
gmc.add_gm({
'html': '<p><strong>Running New Validations for Job:</strong><br>%s<br>'
'<br><strong>Validation Scenarios:</strong><br>%s</p>'
'<p><a href="%s"><button type="button" '
'class="btn btn-outline-primary btn-sm">View Background Tasks</button></a></p>' % (
cjob.job.name, '<br>'.join([vs.name for vs in validations]), reverse('bg_tasks')),
'class': 'success'
})
return redirect('job_details',
org_id=cjob.job.record_group.organization.id,
record_group_id=cjob.job.record_group.id,
job_id=cjob.job.id)
# handle validation removal
if update_type == 'remove_validation':
# get validation scenario to remove
jv_id = request.POST.get('jv_id', False)
# initiate Combine BG Task
cjob.remove_validation_bg_task(jv_id)
# set gms
validation_scenario = JobValidation.objects.get(
pk=int(jv_id)).validation_scenario
gmc = GlobalMessageClient(request.session)
gmc.add_gm({
'html': '<p><strong>Removing Validation for Job:</strong><br>%s<br><br>'
'<strong>Validation Scenario:</strong><br>%s</p><p><a href="%s"><button type="button" '
'class="btn btn-outline-primary btn-sm">View Background Tasks</button></a></p>' % (
cjob.job.name, validation_scenario.name, reverse('bg_tasks')),
'class': 'success'
})
return redirect('job_details',
org_id=cjob.job.record_group.organization.id,
record_group_id=cjob.job.record_group.id,
job_id=cjob.job.id)
# handle validation removal
if update_type == 'dbdm':
# get validation scenario to remove
dbdd_id = request.POST.get('dbdd', False)
# initiate Combine BG Task
cjob.dbdm_bg_task(dbdd_id)
# set gms
dbdd = DPLABulkDataDownload.objects.get(pk=int(dbdd_id))
gmc = GlobalMessageClient(request.session)
gmc.add_gm({
'html': '<p><strong>Running DPLA Bulk Data comparison for Job:</strong><br>%s<br><br>'
'<strong>Bulk Data S3 key:</strong><br>%s</p><p><a href="%s"><button type="button" '
'class="btn btn-outline-primary btn-sm">View Background Tasks</button></a></p>' % (
cjob.job.name, dbdd.s3_key, reverse('bg_tasks')),
'class': 'success'
})
return redirect('job_details',
org_id=cjob.job.record_group.organization.id,
record_group_id=cjob.job.record_group.id,
job_id=cjob.job.id)
if update_type == 'publish_set':
update_body = request.POST
if update_body.get('publish_set_id', None):
cjob.job.publish_set_id = update_body['publish_set_id']
if update_body.get('existing_publish_set_id', None):
cjob.job.publish_set_id = update_body['existing_publish_set_id']
redirect_anchor = update_body.get('redirect_anchor', '')
cjob.job.save()
return redirect(reverse('job_details', args=[org_id, record_group_id, job_id]) + redirect_anchor)
