def process_recap_appellate_docket(self, pk):
"""Process an uploaded appellate docket from the RECAP API endpoint.
:param pk: The primary key of the processing queue item you want to work
on.
:returns: A dict of the form:
{
// The PK of the docket that's created or updated
'docket_pk': 22,
// A boolean indicating whether a new docket entry or
// recap document was created (implying a Solr needs
// updating).
'content_updated': True,
}
This value is a dict so that it can be ingested in a Celery chain.
"""
start_time = now()
pq = ProcessingQueue.objects.get(pk=pk)
mark_pq_status(pq, "", PROCESSING_STATUS.IN_PROGRESS)
logger.info(
"Processing Appellate RECAP item"
" (debug is: %s): %s" % (pq.debug, pq)
)
report = AppellateDocketReport(map_cl_to_pacer_id(pq.court_id))
try:
text = pq.filepath_local.read().decode("utf-8")
except IOError as exc:
msg = "Internal processing error (%s: %s)." % (exc.errno, exc.strerror)
if (self.request.retries == self.max_retries) or pq.debug:
mark_pq_status(pq, msg, PROCESSING_STATUS.FAILED)
return None
else:
mark_pq_status(pq, msg, PROCESSING_STATUS.QUEUED_FOR_RETRY)
raise self.retry(exc=exc)
report._parse_text(text)
data = report.data
logger.info("Parsing completed of item %s" % pq)
if data == {}:
# Not really a docket. Some sort of invalid document (see Juriscraper).
msg = "Not a valid docket upload."
mark_pq_status(pq, msg, PROCESSING_STATUS.INVALID_CONTENT)
self.request.chain = None
return None
# Merge the contents of the docket into CL.
d, docket_count = find_docket_object(
pq.court_id, pq.pacer_case_id, data["docket_number"]
)
if docket_count > 1:
logger.info(
"Found %s dockets during lookup. Choosing oldest." % docket_count
)
d = d.earliest("date_created")
d.add_recap_source()
update_docket_metadata(d, data)
d, og_info = update_docket_appellate_metadata(d, data)
if not d.pacer_case_id:
d.pacer_case_id = pq.pacer_case_id
if pq.debug:
mark_pq_successful(pq, d_id=d.pk)
self.request.chain = None
return {"docket_pk": d.pk, "content_updated": False}
if og_info is not None:
og_info.save()
d.originating_court_information = og_info
d.save()
# Add the HTML to the docket in case we need it someday.
pacer_file = PacerHtmlFiles(
content_object=d, upload_type=UPLOAD_TYPE.APPELLATE_DOCKET
)
pacer_file.filepath.save(
"docket.html", # We only care about the ext w/UUIDFileSystemStorage
ContentFile(text),
)
rds_created, content_updated = add_docket_entries(
d, data["docket_entries"]
)
add_parties_and_attorneys(d, data["parties"])
process_orphan_documents(rds_created, pq.court_id, d.date_filed)
if content_updated and docket_count > 0:
newly_enqueued = enqueue_docket_alert(d.pk)
if newly_enqueued:
send_docket_alert(d.pk, start_time)
mark_pq_successful(pq, d_id=d.pk)
return {
"docket_pk": d.pk,
"content_updated": bool(rds_created or content_updated),
}
def test_triggering_docket_alert(self):
"""Does the alert trigger when it should?"""
send_docket_alert(self.docket.pk, self.before)
# Does the alert go out? It should.
self.assertEqual(len(mail.outbox), 1)
def process_recap_docket_history_report(self, pk):
"""Process the docket history report.
:param pk: The primary key of the processing queue item you want to work on
:returns: A dict indicating whether the docket needs Solr re-indexing.
"""
start_time = now()
pq = ProcessingQueue.objects.get(pk=pk)
mark_pq_status(pq, "", PROCESSING_STATUS.IN_PROGRESS)
logger.info("Processing RECAP item (debug is: %s): %s" % (pq.debug, pq))
try:
text = pq.filepath_local.read().decode("utf-8")
except IOError as exc:
msg = "Internal processing error (%s: %s)." % (exc.errno, exc.strerror)
if (self.request.retries == self.max_retries) or pq.debug:
mark_pq_status(pq, msg, PROCESSING_STATUS.FAILED)
return None
else:
mark_pq_status(pq, msg, PROCESSING_STATUS.QUEUED_FOR_RETRY)
raise self.retry(exc=exc)
report = DocketHistoryReport(map_cl_to_pacer_id(pq.court_id))
report._parse_text(text)
data = report.data
logger.info("Parsing completed for item %s" % pq)
if data == {}:
# Bad docket history page.
msg = "Not a valid docket history page upload."
mark_pq_status(pq, msg, PROCESSING_STATUS.INVALID_CONTENT)
self.request.chain = None
return None
# Merge the contents of the docket into CL.
d, docket_count = find_docket_object(
pq.court_id, pq.pacer_case_id, data["docket_number"]
)
if docket_count > 1:
logger.info(
"Found %s dockets during lookup. Choosing oldest." % docket_count
)
d = d.earliest("date_created")
d.add_recap_source()
update_docket_metadata(d, data)
if pq.debug:
mark_pq_successful(pq, d_id=d.pk)
self.request.chain = None
return {"docket_pk": d.pk, "content_updated": False}
try:
d.save()
except IntegrityError as exc:
logger.warning(
"Race condition experienced while attempting docket save."
)
error_message = "Unable to save docket due to IntegrityError."
if self.request.retries == self.max_retries:
mark_pq_status(pq, error_message, PROCESSING_STATUS.FAILED)
self.request.chain = None
return None
else:
mark_pq_status(
pq, error_message, PROCESSING_STATUS.QUEUED_FOR_RETRY
)
raise self.retry(exc=exc)
# Add the HTML to the docket in case we need it someday.
pacer_file = PacerHtmlFiles(
content_object=d, upload_type=UPLOAD_TYPE.DOCKET_HISTORY_REPORT
)
pacer_file.filepath.save(
# We only care about the ext w/UUIDFileSystemStorage
"docket_history.html",
ContentFile(text),
)
rds_created, content_updated = add_docket_entries(
d, data["docket_entries"]
)
process_orphan_documents(rds_created, pq.court_id, d.date_filed)
if content_updated and docket_count > 0:
newly_enqueued = enqueue_docket_alert(d.pk)
if newly_enqueued:
send_docket_alert(d.pk, start_time)
mark_pq_successful(pq, d_id=d.pk)
return {
"docket_pk": d.pk,
"content_updated": bool(rds_created or content_updated),
}
def test_nothing_happens_for_timers_after_de_creation(self):
"""Do we avoid sending alerts for timers after the de was created?"""
send_docket_alert(self.docket.pk, self.after)
# Do zero emails go out? None should.
self.assertEqual(len(mail.outbox), 0)
def test_triggering_docket_alert(self):
"""Does the alert trigger when it should?"""
send_docket_alert(self.docket.pk, self.before)
# Does the alert go out? It should.
self.assertEqual(len(mail.outbox), 1)
def test_nothing_happens_for_timers_after_de_creation(self):
"""Do we avoid sending alerts for timers after the de was created?"""
send_docket_alert(self.docket.pk, self.after)
# Do zero emails go out? None should.
self.assertEqual(len(mail.outbox), 0)
def process_recap_docket(self, pk):
"""Process an uploaded docket from the RECAP API endpoint.
:param pk: The primary key of the processing queue item you want to work
on.
:returns: A dict of the form:
{
// The PK of the docket that's created or updated
'docket_pk': 22,
// A boolean indicating whether a new docket entry or
// recap document was created (implying a Solr needs
// updating).
'content_updated': True,
}
This value is a dict so that it can be ingested in a Celery chain.
"""
start_time = now()
pq = ProcessingQueue.objects.get(pk=pk)
mark_pq_status(pq, "", PROCESSING_STATUS.IN_PROGRESS)
logger.info(f"Processing RECAP item (debug is: {pq.debug}): {pq}")
report = DocketReport(map_cl_to_pacer_id(pq.court_id))
try:
text = pq.filepath_local.read().decode()
except IOError as exc:
msg = f"Internal processing error ({exc.errno}: {exc.strerror})."
if (self.request.retries == self.max_retries) or pq.debug:
mark_pq_status(pq, msg, PROCESSING_STATUS.FAILED)
return None
else:
mark_pq_status(pq, msg, PROCESSING_STATUS.QUEUED_FOR_RETRY)
raise self.retry(exc=exc)
if "History/Documents" in text:
# Prior to 1.1.8, we did not separate docket history reports into their
# own upload_type. Alas, we still have some old clients around, so we
# need to handle those clients here.
pq.upload_type = UPLOAD_TYPE.DOCKET_HISTORY_REPORT
pq.save()
process_recap_docket_history_report(pk)
self.request.chain = None
return None
report._parse_text(text)
data = report.data
logger.info(f"Parsing completed of item {pq}")
if data == {}:
# Not really a docket. Some sort of invalid document (see Juriscraper).
msg = "Not a valid docket upload."
mark_pq_status(pq, msg, PROCESSING_STATUS.INVALID_CONTENT)
self.request.chain = None
return None
# Merge the contents of the docket into CL.
d = find_docket_object(pq.court_id, pq.pacer_case_id,
data["docket_number"])
d.add_recap_source()
update_docket_metadata(d, data)
if not d.pacer_case_id:
d.pacer_case_id = pq.pacer_case_id
if pq.debug:
mark_pq_successful(pq, d_id=d.pk)
self.request.chain = None
return {"docket_pk": d.pk, "content_updated": False}
d.save()
# Add the HTML to the docket in case we need it someday.
pacer_file = PacerHtmlFiles(content_object=d,
upload_type=UPLOAD_TYPE.DOCKET)
pacer_file.filepath.save(
"docket.html", # We only care about the ext w/UUIDFileSystemStorage
ContentFile(text),
)
rds_created, content_updated = add_docket_entries(d,
data["docket_entries"])
add_parties_and_attorneys(d, data["parties"])
process_orphan_documents(rds_created, pq.court_id, d.date_filed)
if content_updated:
newly_enqueued = enqueue_docket_alert(d.pk)
if newly_enqueued:
send_docket_alert(d.pk, start_time)
mark_pq_successful(pq, d_id=d.pk)
return {
"docket_pk": d.pk,
"content_updated": bool(rds_created or content_updated),
}
def process_recap_docket(self, pk):
"""Process an uploaded docket from the RECAP API endpoint.
:param pk: The primary key of the processing queue item you want to work
on.
:returns: A dict of the form:
{
// The PK of the docket that's created or updated
'docket_pk': 22,
// A boolean indicating whether a new docket entry or
// recap document was created (implying a Solr needs
// updating).
'content_updated': True,
}
This value is a dict so that it can be ingested in a Celery chain.
"""
start_time = now()
pq = ProcessingQueue.objects.get(pk=pk)
mark_pq_status(pq, '', PROCESSING_STATUS.IN_PROGRESS)
logger.info("Processing RECAP item (debug is: %s): %s" % (pq.debug, pq))
report = DocketReport(map_cl_to_pacer_id(pq.court_id))
text = pq.filepath_local.read().decode('utf-8')
if 'History/Documents' in text:
# Prior to 1.1.8, we did not separate docket history reports into their
# own upload_type. Alas, we still have some old clients around, so we
# need to handle those clients here.
pq.upload_type = UPLOAD_TYPE.DOCKET_HISTORY_REPORT
pq.save()
process_recap_docket_history_report(pk)
self.request.chain = None
return None
report._parse_text(text)
data = report.data
logger.info("Parsing completed of item %s" % pq)
if data == {}:
# Not really a docket. Some sort of invalid document (see Juriscraper).
msg = "Not a valid docket upload."
mark_pq_status(pq, msg, PROCESSING_STATUS.INVALID_CONTENT)
self.request.chain = None
return None
# Merge the contents of the docket into CL.
d, docket_count = find_docket_object(pq.court_id, pq.pacer_case_id,
data['docket_number'])
if docket_count > 1:
logger.info("Found %s dockets during lookup. Choosing oldest." %
docket_count)
d = d.earliest('date_created')
d.add_recap_source()
update_docket_metadata(d, data)
if not d.pacer_case_id:
d.pacer_case_id = pq.pacer_case_id
if pq.debug:
mark_pq_successful(pq, d_id=d.pk)
self.request.chain = None
return {'docket_pk': d.pk, 'content_updated': False}
d.save()
# Add the HTML to the docket in case we need it someday.
pacer_file = PacerHtmlFiles(content_object=d,
upload_type=UPLOAD_TYPE.DOCKET)
pacer_file.filepath.save(
'docket.html', # We only care about the ext w/UUIDFileSystemStorage
ContentFile(text),
)
rds_created, content_updated = add_docket_entries(
d, data['docket_entries'])
add_parties_and_attorneys(d, data['parties'])
process_orphan_documents(rds_created, pq.court_id, d.date_filed)
if content_updated and docket_count > 0:
newly_enqueued = enqueue_docket_alert(d.pk)
if newly_enqueued:
send_docket_alert(d.pk, start_time)
mark_pq_successful(pq, d_id=d.pk)
return {
'docket_pk': d.pk,
'content_updated': bool(rds_created or content_updated),
}
