def merge_docs(first_pk, second_pk):
first = Document.objects.get(pk=first_pk)
second = Document.objects.get(pk=second_pk)
first.source = 'LR'
first.judges = second.judges
first.html_lawbox = second.html_lawbox
first.save()
first.citation.case_name = second.citation.case_name
first.citation.slug = second.citation.slug
first.citation.save()
second.docket.delete()
second.citation.delete()
second.delete()
from alert.citations.tasks import update_document_by_id
update_document_by_id(first_pk)
def merge_docs(first_pk, second_pk):
first = Document.objects.get(pk=first_pk)
second = Document.objects.get(pk=second_pk)
first.source = 'LR'
first.judges = second.judges
first.html_lawbox = second.html_lawbox
first.save()
first.citation.case_name = second.citation.case_name
first.citation.slug = second.citation.slug
first.citation.save()
second.docket.delete()
second.citation.delete()
second.delete()
from alert.citations.tasks import update_document_by_id
update_document_by_id(first_pk)
def import_resource_org_item(case_location):
"""Using the path to a case, import it, gathering all needed meta data.
Path is any valid URI that the requests library can handle.
"""
def get_file(location):
if location.startswith('/'):
with open(location) as f:
r = requests.Session()
r.content = f.read()
else:
r = requests.get(location)
return fromstring(r.content), get_clean_body_content(r.content)
# Get trees and text for the opinion itself and for the index page
# that links to it. Each has useful data.
case_tree, case_text = get_file(case_location)
vol_location = case_location.rsplit('/', 1)[-2] + '/index.html'
vol_tree, vol_text = get_file(vol_location)
html, blocked = anonymize(get_case_body(case_tree))
case_location_relative = case_location.rsplit('/', 1)[1]
case_name, status = get_case_name_and_status(
vol_tree, case_location_relative)
cite = Citation(
case_name=case_name,
docket_number=get_docket_number(case_location),
federal_cite_one=get_west_cite(vol_tree, case_location_relative),
)
docket = Docket(
court=Court.objects.get(pk=get_court_id(case_tree)),
case_name=case_name,
)
doc = Document(
date_filed=get_date_filed(vol_tree, case_location_relative),
source='R',
sha1=hashlib.sha1(case_text).hexdigest(),
citation=cite,
docket=docket,
download_url=case_location,
html=html,
precedential_status=status,
)
if blocked:
doc.blocked = True
docket.blocked = True
doc.date_blocked = datetime.date.today()
docket.date_blocked = datetime.date.today()
cite.save()
docket.save()
doc.docket = docket
doc.citation = cite
doc.save()
# Update the citation graph
from alert.citations.tasks import update_document_by_id
update_document_by_id(doc.pk)
return doc
def import_resource_org_item(case_location):
"""Using the path to a case, import it, gathering all needed meta data.
Path is any valid URI that the requests library can handle.
"""
def get_file(location):
if location.startswith('/'):
with open(location) as f:
r = requests.Session()
r.content = f.read()
else:
r = requests.get(location)
return fromstring(r.content), get_clean_body_content(r.content)
# Get trees and text for the opinion itself and for the index page
# that links to it. Each has useful data.
case_tree, case_text = get_file(case_location)
vol_location = case_location.rsplit('/', 1)[-2] + '/index.html'
vol_tree, vol_text = get_file(vol_location)
html, blocked = anonymize(get_case_body(case_tree))
case_location_relative = case_location.rsplit('/', 1)[1]
case_name, status = get_case_name_and_status(vol_tree,
case_location_relative)
cite = Citation(
case_name=case_name,
docket_number=get_docket_number(case_location),
federal_cite_one=get_west_cite(vol_tree, case_location_relative),
)
docket = Docket(
court=Court.objects.get(pk=get_court_id(case_tree)),
case_name=case_name,
)
doc = Document(
date_filed=get_date_filed(vol_tree, case_location_relative),
source='R',
sha1=hashlib.sha1(case_text).hexdigest(),
citation=cite,
docket=docket,
download_url=case_location,
html=html,
precedential_status=status,
)
if blocked:
doc.blocked = True
docket.blocked = True
doc.date_blocked = datetime.date.today()
docket.date_blocked = datetime.date.today()
cite.save()
docket.save()
doc.docket = docket
doc.citation = cite
doc.save()
# Update the citation graph
from alert.citations.tasks import update_document_by_id
update_document_by_id(doc.pk)
return doc
