def create_docket_pickles(path, court):
#check if docket pickle directory exists and pickle generation has completed
opinion_reports= glob.glob(os.path.join(path, "*.opinions.*"))
try:
os.mkdir(os.path.join(path, 'docket_pickles'))
except OSError:
#delete docket_pickles
pass
for report in opinion_reports:
filebits = open(report).read()
dockets = PP.parse_opinions(filebits, court)
if dockets:
print "Found %s dockets in %s " % (len(dockets), report)
for docket in dockets:
if len(docket.documents) != 1:
raise "This docket has more than one document! docket text: " % docket
doc = docket.documents.values()[0]
filename = _get_docket_pickle_filename(court, doc['casenum'], doc['doc_num'], doc['attachment_num'])
success, msg = IA.pickle_object(docket, filename, os.path.join(path, "docket_pickles"))
if not success:
print "Error pickling file %s: %s " % (filename, msg)
def get_opinions(self, court, start_date, end_date):
html = self.pacer_client.get_opinions_html(court, start_date, end_date)
dockets = PP.parse_opinions(html, court)
logger.info(' Downloaded %d dockets for court %s between %s and %s',
len(dockets), court, start_date, end_date)
#if len(dockets) == 0:
# logger.debug(' 0 dockets downloaded. HTML response: %s', html)
return dockets
def get_opinions(self, court, start_date, end_date):
html = self.pacer_client.get_opinions_html(court,
start_date,
end_date)
dockets = PP.parse_opinions(html, court)
logger.info(' Downloaded %d dockets for court %s between %s and %s', len(dockets),
court,
start_date,
end_date)
#if len(dockets) == 0:
# logger.debug(' 0 dockets downloaded. HTML response: %s', html)
return dockets