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 do_me_up(docket): ''' Download, merge and update the docket with IA. ''' # Pickle this object for do_me_up by the cron process. court = docket.get_court() casenum = docket.get_casenum() docketname = IACommon.get_docketxml_name(court, casenum) # Check if this docket is already scheduled to be processed. query = PickledPut.objects.filter(filename=docketname) try: ppentry = query[0] except IndexError: # Not already scheduled, so schedule it now. ppentry = PickledPut(filename=docketname, docket=1) try: ppentry.save() except IntegrityError: # Try again. do_me_up(docket) else: # Pickle this object. pickle_success, msg = IA.pickle_object(docket, docketname) if pickle_success: # Ready for processing. ppentry.ready = 1 ppentry.save() logging.info("do_me_up: ready. %s" % (docketname)) else: # Pickle failed, remove from DB. ppentry.delete() logging.error("do_me_up: %s %s" % (msg, docketname)) else: # Already scheduled. # If there is a lock for this case, it's being uploaded. Don't merge now locked = BucketLockManager.lock_exists(court, casenum) if ppentry.ready and not locked: # Docket is waiting to be processed by cron job. # Revert state back to 'not ready' so we can do local merge. ppentry.ready = 0 ppentry.save() # Fetch and unpickle the waiting docket. prev_docket, unpickle_msg = IA.unpickle_object(docketname) if prev_docket: # Do the local merge. prev_docket.merge_docket(docket) # Pickle it back pickle_success, pickle_msg = \ IA.pickle_object(prev_docket, docketname) if pickle_success: # Merged and ready. ppentry.ready = 1 ppentry.save() logging.info("do_me_up: merged and ready. %s" %(docketname)) else: # Re-pickle failed, delete. ppentry.delete() logging.error("do_me_up: re-%s %s" % (pickle_msg, docketname)) else: # Unpickle failed ppentry.delete() IA.delete_pickle(docketname) logging.error("do_me_up: %s %s" % (unpickle_msg, docketname)) # Ignore if in any of the other three possible state... # because another cron job is already doing work on this entity # Don't delete DB entry or pickle file. elif ppentry.ready and locked: pass #logging.debug("do_me_up: %s discarded, processing conflict." % # (docketname)) elif not ppentry.ready and not locked: pass #logging.debug("do_me_up: %s discarded, preparation conflict." % # (docketname)) else: logging.error("do_me_up: %s discarded, inconsistent state." % (docketname))
def do_me_up(docket): """ Download, merge and update the docket with IA. """ # Pickle this object for do_me_up by the cron process. court = docket.get_court() casenum = docket.get_casenum() docketname = IACommon.get_docketxml_name(court, casenum) # Check if this docket is already scheduled to be processed. query = PickledPut.objects.filter(filename=docketname) try: ppentry = query[0] except IndexError: # Not already scheduled, so schedule it now. ppentry = PickledPut(filename=docketname, docket=1) try: ppentry.save() except IntegrityError: # Try again. do_me_up(docket) else: # Pickle this object. pickle_success, msg = IA.pickle_object(docket, docketname) if pickle_success: # Ready for processing. ppentry.ready = 1 ppentry.save() logging.info("do_me_up: ready. %s" % (docketname)) else: # Pickle failed, remove from DB. ppentry.delete() logging.error("do_me_up: %s %s" % (msg, docketname)) else: # Already scheduled. # If there is a lock for this case, it's being uploaded. Don't merge now locked = BucketLockManager.lock_exists(court, casenum) if ppentry.ready and not locked: # Docket is waiting to be processed by cron job. # Revert state back to 'not ready' so we can do local merge. ppentry.ready = 0 ppentry.save() # Fetch and unpickle the waiting docket. prev_docket, unpickle_msg = IA.unpickle_object(docketname) if prev_docket: # Do the local merge. prev_docket.merge_docket(docket) # Pickle it back pickle_success, pickle_msg = \ IA.pickle_object(prev_docket, docketname) if pickle_success: # Merged and ready. ppentry.ready = 1 ppentry.save() logging.info( "do_me_up: merged and ready. %s" % (docketname)) else: # Re-pickle failed, delete. ppentry.delete() logging.error("do_me_up: re-%s %s" % (pickle_msg, docketname)) else: # Unpickle failed ppentry.delete() IA.delete_pickle(docketname) logging.error("do_me_up: %s %s" % (unpickle_msg, docketname)) # Ignore if in any of the other three possible state... # because another cron job is already doing work on this entity # Don't delete DB entry or pickle file. elif ppentry.ready and locked: pass #logging.debug("do_me_up: %s discarded, processing conflict." % # (docketname)) elif not ppentry.ready and not locked: pass #logging.debug("do_me_up: %s discarded, preparation conflict." % # (docketname)) else: logging.error("do_me_up: %s discarded, inconsistent state." % (docketname))