我正在尝试使用我的表＆＃39; SystemExceptionLog＆＃39;中的Django查询集有效地创建一个计数列。我想按上传文件，证据和cafae_field进行分组。而且我想要计算名为＆＃39; errormsg＆＃39;的字段。 我的问题是，我认为我可能需要添加＆＃39;值（）＆＃39;到该行获取聚合的不同值，因为这些行是多行枚举的一部分。我想知道我怎么做 1.获取计数仅用于＆＃39;证据＆＃39; cafae_field＆＃39;的唯一组合。和＆＃39;上传文件＆＃39;？ 2.只获得不同的价值观？
err_obj=SystemExceptionLog.objects.filter(uploadedfile=extract_properties['uploaded_file'], cafae_field=extract_properties['cafae_artifact'], evidence=evidence_obj).aggregate(Count('errormsg'))
err_ct = err_obj['errormsg__count']
以下是循环的完整代码，其中还包含上面的行......
def process_tzworks_lnk(extract_properties):
'''
Processes extract from TZWorks lnk extract.
'''
case_obj, created = Case.objects.get_or_create(case_number=extract_properties['case_number'])
evidence_obj, created = Evidence.objects.get_or_create(case=case_obj, evidence_number=extract_properties['evidence_number'])
err_obj=SystemExceptionLog.objects.filter(uploadedfile=extract_properties['uploaded_file'], cafae_field=extract_properties['cafae_artifact'], evidence=evidence_obj).aggregate(Count('errormsg'))
err_ct = err_obj['errormsg__count']
datetime_obj = SystemExceptionLog.objects.filter(uploadedfile=extract_properties['uploaded_file'], evidence=evidence_obj).aggregate(Max('timestamp'))
date_err = datetime_obj['timestamp__max']
md5hash = hashlib.md5(open('nettop/files/name.csv', 'rb').read()).hexdigest()
reader = unicode_csv_reader(extract_properties['uploaded_file'], dialect='pipes')
print "num",extract_properties['header_row_num']
for idx, row in enumerate(reader):
if idx <= (extract_properties['header_row_num'])+3:
pass
else:
linkkeys = get_tzworks_lnk(row)
try:
file_shortcut_obj, created = FileShortcut.objects.get_or_create(
evidence=evidence_obj,
volume=None,
sourcepath_filename=row[0],
source_type=row[1],
file_mdate=date_convert(row[2],row[3]),
file_adate=date_convert(row[4],row[5]),
file_cdate=date_convert(row[6],row[7]),
target_mdate=date_convert(row[8],row[9]),
target_adate=date_convert(row[10],row[11]),
target_cdate=date_convert(row[12],row[13]),
object_id_cdate=date_convert(row[14],row[15]),
target_attribute=row[16], #threw err
inode=row[17],
sequence_nbr=row[18],
file_size=row[19],
target_name=row[20],
idlist_extra_info=row[21],
volume_type=row[22],
volume_serial=row[23],
volume_name=row[24],
local_path=row[25],
common_path=row[26],
network_device_info=row[27],
description=linkkeys['Description'],
relative_path=linkkeys['RelPath'],
command_arguments=linkkeys['CmdArgs'],
working_directory=linkkeys['WorkDir'],
icon_name=linkkeys['IconName'],
environment_block=linkkeys['EnvBlk'],
netbios_name=row[29],
volumes_id=row[30],
object_id=row[31],
mac_address=row[32],)
except Exception as e:
print "Error",e
print "row",row
print "idx:",idx
#import code; code.interact(local=locals())
# These will create the items for the EvidenceUpload table on artefact's upload status & the SystemExceptionLog, for when Exceptions occur during Processor
Ex, created = SystemExceptionLog.objects.get_or_create(evidence=evidence_obj, md5hash=md5hash, indexrow=idx, errormsg=e.args[0], timestamp=datetime.datetime.now(), uploadedfile=extract_properties['uploaded_file'],\
cafae_field=extract_properties['cafae_artifact'])
continue
err_obj=SystemExceptionLog.objects.filter(uploadedfile=extract_properties['uploaded_file'], evidence=evidence_obj).aggregate(Count('errormsg'))
err_ct = err_obj['errormsg__count']
Ev, created = EvidenceUpload.objects.get_or_create(evidence=evidence_obj, md5hash=md5hash, cafae_field=extract_properties['cafae_artifact'], file_name=extract_properties['uploaded_file'],\
nbr_errors=err_ct, rec_upload_attempt=datetime.datetime.now(), uploaded_by=User)
return True