def object2content(self, obj, dimension=0, parent_path=[]):
if obj.get('group'):
this_path = parent_path[:]
group_metadata = GroupMetadata(**obj['group']['metadata'])
this_path.append(group_metadata.name)
child_path = this_path[:]
_dimension = dimension
if group_metadata.multivalued:
_dimension += 1
if group_metadata.multivalued:
child_path.append('*')
group_content = Content()
for item in obj['group']['content']:
content = self.object2content(item,
dimension=_dimension,
parent_path=parent_path)
group_content.append(content)
group = Group(metadata=group_metadata, content=group_content)
group.path = this_path
return group
elif obj.get('field'):
field = Field(**obj['field'])
if field.multivalued:
field.__dim__ = dimension + 1
else:
field.__dim__ = dimension
this_path = parent_path[:]
this_path.append(field.name)
field.path = this_path
return field
else:
raise TypeError('Value must be a Field or Group')
def lbbase(self):
"""
LB Base do órgão
"""
item = Field(**dict(
name='item',
description='Nome do item que será adicionado a lista.',
alias='nome',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True
))
base_metadata = BaseMetadata(
name='blacklist',
)
content_list = Content()
content_list.append(item)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def object2content(self, obj, dimension=0, parent_path=[]):
if obj.get('group'):
this_path=parent_path[:]
group_metadata=GroupMetadata(**obj['group']['metadata'])
this_path.append(group_metadata.name)
child_path=this_path[:]
_dimension=dimension
if group_metadata.multivalued:
_dimension += 1
if group_metadata.multivalued:
child_path.append('*')
group_content=Content()
for item in obj['group']['content']:
content=self.object2content(
item,
dimension=_dimension,
parent_path=parent_path)
group_content.append(content)
group=Group(
metadata=group_metadata,
content=group_content)
group.path=this_path
return group
elif obj.get('field'):
field=Field(**obj['field'])
if field.multivalued:
field.__dim__=dimension + 1
else:
field.__dim__=dimension
this_path=parent_path[:]
this_path.append(field.name)
field.path=this_path
return field
else:
raise TypeError('Value must be a Field or Group')
def assemble_content(content_object, dimension=0):
"""
Parses content object and builds a list with Field and Group objects
@param content_object:
@param dimension:
"""
content_list = Content()
for obj in content_object:
if obj.get('group'):
group_metadata = GroupMetadata(**obj['group']['metadata'])
_dimension = dimension
if group_metadata.multivalued:
_dimension += 1
group_content = assemble_content(
obj['group']['content'],
dimension=_dimension)
group = Group(
metadata=group_metadata,
content=group_content)
content_list.append(group)
elif obj.get('field'):
field = Field(**obj['field'])
if field.multivalued:
field.__dim__ = dimension + 1
else:
field.__dim__ = dimension
content_list.append(field)
return content_list
def lbbase(self):
"""
LB Base de Notify
"""
orgao = Field(**dict(name='orgao',
description='Órgão referente a notrificção',
alias='orgao',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
data_coleta = Field(**dict(name='data_coleta',
alias='data_coleta',
description='data da coleta notificada',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
notify = Field(**dict(name='notify',
alias='notify',
description='tipo de notificação',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
coment = Field(**dict(name='coment',
alias='coment',
description='comentario',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
status = Field(**dict(name='status',
alias='status',
description='status da notificação',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
base_metadata = BaseMetadata(name='notify', )
content_list = Content()
content_list.append(orgao)
content_list.append(data_coleta)
content_list.append(notify)
content_list.append(coment)
content_list.append(status)
lbbase = Base(metadata=base_metadata, content=content_list)
return lbbase
def pyobject2base(obj):
"""
Convert python object to base
@param obj: Python object
@return: LBBase instance
"""
content = Content()
elms = lbutils.get_attr(obj)
for elm in elms:
content.append(attribute2lbfield(*elm))
return Base(metadata=BaseMetadata(getattr(type(obj), '__name__')),
content=content)
def pyobject2base(obj):
"""
Convert python object to base
@param obj: Python object
@return: LBBase instance
"""
content = Content()
elms = lbutils.get_attr(obj)
for elm in elms:
content.append(attribute2lbfield(*elm))
return Base(
metadata=BaseMetadata(getattr(type(obj), '__name__')),
content=content)
def setUp(self):
"""
Load data from previous tests and setup test data
:return:
"""
lbjson_test.TestJSON.setUp(self)
# Start base definition
field = Field(**self.field)
field2 = Field(**self.field2)
content_list = Content()
content_list.append(field)
content_list.append(field2)
group_metadata = GroupMetadata(**self.group_metadata)
group = Group(
metadata=group_metadata,
content=content_list,
)
field3 = Field(**self.field3)
content_list = Content()
content_list.append(group)
content_list.append(field3)
base_metadata = BaseMetadata(**self.base_metadata)
self.base = Base(
metadata=base_metadata,
content=content_list
)
# End Base definition
#self.rest_url = "http://localhost/api"
self.rest_url = "http://127.0.0.1/api"
self.baserest = lbrest.BaseREST(rest_url=self.rest_url, response_object=True)
pass
def lbbase(self):
"""
LB Base do órgão
"""
item = Field(
**dict(name='item',
description='Nome do item que será adicionado a lista.',
alias='nome',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True))
base_metadata = BaseMetadata(name='blacklist', )
content_list = Content()
content_list.append(item)
lbbase = Base(metadata=base_metadata, content=content_list)
return lbbase
def assemble_content(content_object, dimension=0, parent_path=[]):
"""
Parses content object and builds a list with Field and Group objects
@param content_object:
@param dimension:
"""
content_list = Content()
for obj in content_object:
if obj.get('group'):
this_path = parent_path[:]
group_metadata = GroupMetadata(**obj['group']['metadata'])
this_path.append(group_metadata.name)
child_path = this_path[:]
_dimension = dimension
if group_metadata.multivalued:
_dimension += 1
if group_metadata.multivalued:
child_path.append('*')
group_content = assemble_content(obj['group']['content'],
dimension=_dimension,
parent_path=child_path)
group = Group(metadata=group_metadata, content=group_content)
content_list.append(group)
group.path = this_path
elif obj.get('field'):
field = Field(**obj['field'])
if field.multivalued:
field.__dim__ = dimension + 1
else:
field.__dim__ = dimension
content_list.append(field)
this_path = parent_path[:]
this_path.append(field.name)
field.path = this_path
return content_list
def assemble_content(content_object, dimension=0, parent_path=[]):
"""
Parses content object and builds a list with Field and Group objects
@param content_object:
@param dimension:
"""
content_list = Content()
for obj in content_object:
if obj.get('group'):
this_path = parent_path[:]
group_metadata = GroupMetadata(**obj['group']['metadata'])
this_path.append(group_metadata.name)
child_path = this_path[:]
_dimension = dimension
if group_metadata.multivalued:
_dimension += 1
if group_metadata.multivalued:
child_path.append('*')
group_content = assemble_content(
obj['group']['content'],
dimension=_dimension,
parent_path=child_path)
group = Group(
metadata=group_metadata,
content=group_content)
content_list.append(group)
group.path = this_path
elif obj.get('field'):
field = Field(**obj['field'])
if field.multivalued:
field.__dim__ = dimension + 1
else:
field.__dim__ = dimension
content_list.append(field)
this_path = parent_path[:]
this_path.append(field.name)
field.path = this_path
return content_list
def test_json_base(self):
"""
Test JSON base serialization
:return:
"""
field = Field(**self.field)
field2 = Field(**self.field2)
content_list = Content()
content_list.append(field)
content_list.append(field2)
group_metadata = GroupMetadata(**self.group_metadata)
group = Group(
metadata=group_metadata,
content=content_list,
)
field3 = Field(**self.field3)
content_list = Content()
content_list.append(group)
content_list.append(field3)
base_metadata = BaseMetadata(**self.base_metadata)
base = Base(
metadata=base_metadata,
content=content_list
)
j = base.json
fd = open('/tmp/test.json', 'w+')
fd.write(j)
fd.close()
assert j
def test_base_json(self):
"""
Test generated JSON conversion back to base
:return:
"""
field = Field(**self.field)
field2 = Field(**self.field2)
content_list = Content()
content_list.append(field)
content_list.append(field2)
group_metadata = GroupMetadata(**self.group_metadata)
group = Group(
metadata=group_metadata,
content=content_list,
)
field3 = Field(**self.field3)
content_list = Content()
content_list.append(group)
content_list.append(field3)
base_metadata = BaseMetadata(**self.base_metadata)
base = Base(
metadata=base_metadata,
content=content_list
)
j = base.json
b = json2base(j)
assert(isinstance(b, Base))
def test_json_groups(self):
"""
Test JSON groups serialization
:return:
"""
field = Field(**self.field)
field2 = Field(**self.field2)
content_list = Content()
content_list.append(field)
content_list.append(field2)
group_metadata = GroupMetadata(**self.group_metadata)
group = Group(
metadata=group_metadata,
content=content_list,
)
j = group.json
print(j)
assert j
def test_json_groups(self):
"""
Test JSON groups serialization
:return:
"""
field = Field(**self.field)
field2 = Field(**self.field2)
content_list = Content()
content_list.append(field)
content_list.append(field2)
group_metadata = GroupMetadata(**self.group_metadata)
group = Group(
metadata=group_metadata,
content=content_list,
)
j = group.json
print(j)
assert j
def lbbase(self):
"""
LB Base de email
"""
usuario = Field(**dict(
name='usuario',
description='Usuario',
alias='Usuario',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
to = Field(**dict(
name='to',
description='Destino do email',
alias='to',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=True
))
reply_to = Field(**dict(
name='reply_to',
alias='reply_to',
description='reply_to',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
subject = Field(**dict(
name='subject',
alias='Assunto',
description='Assunto do e-mail',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
body = Field(**dict(
name='body',
alias='body',
description='Corpo do e-mail',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
headers = Field(**dict(
name='headers',
alias='headers',
description='headers',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
data_send = Field(**dict(
name='data_send',
alias='data_send',
description='Data de envio',
datatype='DateTime',
indices=['Ordenado'],
multivalued=False,
required=True
))
status = Field(**dict(
name='status',
alias='status',
description='status',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
hidden_destination = Field(**dict(
name='hidden_destination',
alias='hd',
description='hd',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
base_metadata = BaseMetadata(
name='email',
)
content_list = Content()
content_list.append(usuario)
content_list.append(to)
content_list.append(reply_to)
content_list.append(subject)
content_list.append(body)
content_list.append(headers)
content_list.append(data_send)
content_list.append(status)
content_list.append(hidden_destination)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def lbbase(self):
"""
Base no LB
:return: LB Base object
"""
win32_physicalmemory_memorytype_list = Content()
win32_physicalmemory_memorytype_key = Field(**dict(
name='win32_physicalmemory_memorytype_key',
description='Chave do atributo MemoryType',
alias='win32_physicalmemory_memorytype_key',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False
))
win32_physicalmemory_memorytype_list.append(win32_physicalmemory_memorytype_key)
win32_physicalmemory_memorytype_value = Field(**dict(
name='win32_physicalmemory_memorytype_value',
description='Valro do atributo MemoryType',
alias='win32_physicalmemory_memorytype_value',
datatype='Text',
indices=['Textual', 'Ordenado'],
multivalued=False,
required=False
))
win32_physicalmemory_memorytype_list.append(win32_physicalmemory_memorytype_value)
win32_physicalmemory_memorytype_metadata = GroupMetadata(**dict(
name='win32_physicalmemory_memorytype',
alias='win32_physicalmemory_memorytype',
description='Descrição do campo win32_physicalmemory_memorytype',
multivalued=True
))
win32_physicalmemory_memorytype = Group(
metadata=win32_physicalmemory_memorytype_metadata,
content=win32_physicalmemory_memorytype_list
)
win32_processor_family_list = Content()
win32_processor_family_key = Field(**dict(
name='win32_processor_family_key',
description='Chave do atributo MemoryType',
alias='win32_processor_family_key',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False
))
win32_processor_family_list.append(win32_processor_family_key)
win32_processor_family_value = Field(**dict(
name='win32_processor_family_value',
description='Valor do atributo Family',
alias='win32_processor_family_value',
datatype='Text',
indices=['Textual', 'Ordenado'],
multivalued=False,
required=False
))
win32_processor_family_list.append(win32_processor_family_value)
win32_processor_family_metadata = GroupMetadata(**dict(
name='win32_processor_family',
alias='win32_processor_family',
description='Descrição do campo win32_processor_family',
multivalued=True
))
win32_processor_family = Group(
metadata=win32_processor_family_metadata,
content=win32_processor_family_list
)
content_list = Content()
content_list.append(win32_physicalmemory_memorytype)
content_list.append(win32_processor_family)
base_metadata = BaseMetadata(
name='descriptions',
description='Field descriptions'
)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def lbbase(self):
"""
LB Base de email
"""
usuario = Field(**dict(name='usuario',
description='Usuario',
alias='Usuario',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
to = Field(**dict(name='to',
description='Destino do email',
alias='to',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=True))
reply_to = Field(**dict(name='reply_to',
alias='reply_to',
description='reply_to',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
subject = Field(**dict(name='subject',
alias='Assunto',
description='Assunto do e-mail',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
body = Field(**dict(name='body',
alias='body',
description='Corpo do e-mail',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
headers = Field(**dict(name='headers',
alias='headers',
description='headers',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
data_send = Field(**dict(name='data_send',
alias='data_send',
description='Data de envio',
datatype='DateTime',
indices=['Ordenado'],
multivalued=False,
required=True))
status = Field(**dict(name='status',
alias='status',
description='status',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
hidden_destination = Field(**dict(name='hidden_destination',
alias='hd',
description='hd',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False))
base_metadata = BaseMetadata(name='email', )
content_list = Content()
content_list.append(usuario)
content_list.append(to)
content_list.append(reply_to)
content_list.append(subject)
content_list.append(body)
content_list.append(headers)
content_list.append(data_send)
content_list.append(status)
content_list.append(hidden_destination)
lbbase = Base(metadata=base_metadata, content=content_list)
return lbbase
def test_json_base(self):
"""
Test JSON base serialization
:return:
"""
field = Field(**self.field)
field2 = Field(**self.field2)
content_list = Content()
content_list.append(field)
content_list.append(field2)
group_metadata = GroupMetadata(**self.group_metadata)
group = Group(
metadata=group_metadata,
content=content_list,
)
field3 = Field(**self.field3)
content_list = Content()
content_list.append(group)
content_list.append(field3)
base_metadata = BaseMetadata(**self.base_metadata)
base = Base(metadata=base_metadata, content=content_list)
j = base.json
fd = open('/tmp/test.json', 'w+')
fd.write(j)
fd.close()
assert j
def test_base_json(self):
"""
Test generated JSON conversion back to base
:return:
"""
field = Field(**self.field)
field2 = Field(**self.field2)
content_list = Content()
content_list.append(field)
content_list.append(field2)
group_metadata = GroupMetadata(**self.group_metadata)
group = Group(
metadata=group_metadata,
content=content_list,
)
field3 = Field(**self.field3)
content_list = Content()
content_list.append(group)
content_list.append(field3)
base_metadata = BaseMetadata(**self.base_metadata)
base = Base(metadata=base_metadata, content=content_list)
j = base.json
b = json2base(j)
assert (isinstance(b, Base))
def lbbase(self):
"""
Base no LB
:return: LB Base object
"""
tipo = Field(**dict(name='tipo',
description='Tipo de atividade',
alias='tipo',
datatype='Text',
indices=['Textual', 'Ordenado'],
multivalued=False,
required=True))
usuario = Field(**dict(name='usuario',
description='Usuário que realizou a atividade',
alias='usuario',
datatype='Text',
indices=['Textual', 'Ordenado'],
multivalued=False,
required=True))
descricao = Field(**dict(name='descricao',
description='Descrição da atividade',
alias='descricao',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
data = Field(**dict(name='data',
description='Data de execução da tarefa',
alias='data',
datatype='Date',
indices=['Ordenado'],
multivalued=False,
required=True))
data_hora = Field(
**dict(name='data_hora',
description='Data e Hora de execução da tarefa',
alias='data_hora',
datatype='DateTime',
indices=['Ordenado'],
multivalued=False,
required=False))
content_list = Content()
content_list.append(tipo)
content_list.append(usuario)
content_list.append(descricao)
content_list.append(data)
content_list.append(data_hora)
base_metadata = BaseMetadata(name='atividade')
lbbase = Base(metadata=base_metadata, content=content_list)
return lbbase
def lbbase(self):
"""
LB Base do órgão
"""
OperatingSystem_item = Field(**dict(
name='OperatingSystem_item',
description='Item Coletado',
alias='Item',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True
))
OperatingSystem_amount = Field(**dict(
name='OperatingSystem_amount',
alias='amount',
description='amount',
datatype='Integer',
indices=['Textual'],
multivalued=False,
required=True
))
Win32_BIOS_item = Field(**dict(
name='Win32_BIOS_item',
description='Item Coletado',
alias='Item',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True
))
Win32_BIOS_amount = Field(**dict(
name='Win32_BIOS_amount',
alias='amount',
description='amount',
datatype='Integer',
indices=['Textual'],
multivalued=False,
required=True
))
Win32_Processor_item = Field(**dict(
name='Win32_Processor_item',
description='Item Coletado',
alias='Item',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True
))
Win32_Processor_amount = Field(**dict(
name='Win32_Processor_amount',
alias='amount',
description='amount',
datatype='Integer',
indices=['Textual'],
multivalued=False,
required=True
))
Win32_DiskDrive_item = Field(**dict(
name='Win32_DiskDrive_item',
description='Item Coletado',
alias='Item',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True
))
Win32_DiskDrive_amount = Field(**dict(
name='Win32_DiskDrive_amount',
alias='amount',
description='amount',
datatype='Integer',
indices=['Textual'],
multivalued=False,
required=True
))
Win32_PhysicalMemory_item = Field(**dict(
name='Win32_PhysicalMemory_item',
description='Item Coletado',
alias='Item',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True
))
Win32_PhysicalMemory_amount = Field(**dict(
name='Win32_PhysicalMemory_amount',
alias='amount',
description='amount',
datatype='Integer',
indices=['Textual'],
multivalued=False,
required=True
))
software_item = Field(**dict(
name='SoftwareList_item',
description='Software Coletado',
alias='SoftwareList_item',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True
))
software_amount = Field(**dict(
name='SoftwareList_amount',
alias='SoftwareList_amount',
description='Software Amount',
datatype='Integer',
indices=['Textual'],
multivalued=False,
required=True
))
"""
GROUP Sistema Operacional
"""
OperatingSystem_content = Content()
OperatingSystem_content.append(OperatingSystem_item)
OperatingSystem_content.append(OperatingSystem_amount)
OperatingSystem_metadata = GroupMetadata(
name='OperatingSystem',
alias='OperatingSystem',
description='OperatingSystem',
multivalued = False
)
OperatingSystem = Group(
metadata = OperatingSystem_metadata,
content = OperatingSystem_content
)
"""
GROUP Bios
"""
Win32_BIOS_content = Content()
Win32_BIOS_content.append(Win32_BIOS_item)
Win32_BIOS_content.append(Win32_BIOS_amount)
Win32_BIOS_metadata = GroupMetadata(
name='Win32_BIOS',
alias='Win32_BIOS',
description='Win32_BIOS',
multivalued=False
)
Win32_BIOS = Group(
metadata=Win32_BIOS_metadata,
content=Win32_BIOS_content
)
"""
GROUP Processador
"""
Win32_Processor_content = Content()
Win32_Processor_content.append(Win32_Processor_item)
Win32_Processor_content.append(Win32_Processor_amount)
Win32_Processor_metadata = GroupMetadata(
name='Win32_Processor',
alias='Win32_Processor',
description='Win32_Processor',
multivalued=False
)
Win32_Processor = Group(
metadata=Win32_Processor_metadata,
content=Win32_Processor_content
)
"""
GROUP DiskDrive
"""
Win32_DiskDrive_content = Content()
Win32_DiskDrive_content.append(Win32_DiskDrive_item)
Win32_DiskDrive_content.append(Win32_DiskDrive_amount)
Win32_DiskDrive_metadata = GroupMetadata(
name='Win32_DiskDrive',
alias='Win32_DiskDrive',
description='Win32_DiskDrive',
multivalued = False
)
Win32_DiskDrive = Group(
metadata = Win32_DiskDrive_metadata,
content = Win32_DiskDrive_content
)
"""
GROUP PhysicalMemory
"""
Win32_PhysicalMemory_content = Content()
Win32_PhysicalMemory_content.append(Win32_PhysicalMemory_item)
Win32_PhysicalMemory_content.append(Win32_PhysicalMemory_amount)
Win32_PhysicalMemory_metadata = GroupMetadata(
name='Win32_PhysicalMemory',
alias='Win32_PhysicalMemory',
description='Win32_PhysicalMemory',
multivalued=False
)
Win32_PhysicalMemory = Group(
metadata=Win32_PhysicalMemory_metadata,
content=Win32_PhysicalMemory_content
)
"""
GROUP Software
"""
software_content = Content()
software_content.append(software_item)
software_content.append(software_amount)
software_metadata = GroupMetadata(
name='SoftwareList',
alias='SoftwareList',
description='Lista de softwares',
multivalued=False
)
software = Group(
metadata=software_metadata,
content=software_content
)
base_metadata = BaseMetadata(
name = self.nm_base + "_bk",
)
content_list = Content()
content_list.append(OperatingSystem)
content_list.append(Win32_BIOS)
content_list.append(Win32_Processor)
content_list.append(Win32_PhysicalMemory)
content_list.append(Win32_DiskDrive)
content_list.append(software)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def lbbase(self):
"""
Generate LB Base object
:return:
"""
category_name = Field(**dict(name='category_name',
description='category name',
alias='category_name',
datatype='Text',
indices=['Ordenado', 'Unico'],
multivalued=False,
required=True))
category_pretty_name = Field(**dict(name='category_pretty_name',
description='category pretty name',
alias='category_pretty_name',
datatype='Text',
indices=['Ordenado'],
multivalued=False,
required=True))
description = Field(**dict(name='description',
description='category description',
alias='description',
datatype='Text',
indices=[],
multivalued=False,
required=False))
tokens = Field(
**dict(name='tokens',
description='Identified tokens for this category',
alias='tokens',
datatype='Text',
indices=['Ordenado'],
multivalued=True,
required=False))
total = Field(**dict(name='total',
description='Total criminal events',
alias='total',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False))
date = Field(**dict(name='date',
description='Taxonomy last update',
alias='date',
datatype='DateTime',
indices=['Ordenado'],
multivalued=False,
required=True))
images = Field(**dict(name='images',
description='Taxonomy related images',
alias='images',
datatype='File',
indices=[],
multivalued=True,
required=False))
default_token = Field(
**dict(name='default_token',
description='Default token for this category',
alias='default_token',
datatype='Text',
indices=['Ordenado'],
multivalued=False,
required=False))
color = Field(**dict(name='color',
description='Color to be shown on interface',
alias='Color',
datatype='Text',
indices=[],
multivalued=False,
required=False))
base_metadata = BaseMetadata(
**dict(name='crime',
description='Criminal data from social networks',
password='******',
idx_exp=True,
idx_exp_url=self.es_url + '/crime',
idx_exp_time=300,
file_ext=True,
file_ext_time=300,
color='#FFFFFF'))
content_list = Content()
content_list.append(total)
content_list.append(category_name)
content_list.append(category_pretty_name)
content_list.append(description)
content_list.append(tokens)
content_list.append(date)
content_list.append(images)
content_list.append(default_token)
content_list.append(color)
lbbase = Base(metadata=base_metadata, content=content_list)
return lbbase
def lbbase(self):
"""
LB Base de Users
"""
nome = Field(**dict(
name='nome',
description='Nome do Usuário',
alias='nome',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
matricula = Field(**dict(
name='matricula',
alias='matricula',
description='Matricula do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
email = Field(**dict(
name='email',
alias='email',
description='E-mail do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
telefone = Field(**dict(
name='telefone',
alias='telefone',
description='Telefone do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
orgao = Field(**dict(
name='orgao',
alias='orgao',
description='Orgão do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
cargo = Field(**dict(
name='cargo',
alias='cargo',
description='Cargo do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
setor = Field(**dict(
name='setor',
alias='setor',
description='Setor do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
permissao = Field(**dict(
name='permissao',
alias='permissao',
description='Permissão do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
senha = Field(**dict(
name='senha',
alias='senha',
description='Senha do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
favoritos = Field(**dict(
name='favoritos',
alias='favoritos',
description='Favoritos do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False
))
home = Field(**dict(
name='home',
alias='home',
description='Home do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False
))
itens = Field(**dict(
name='itens',
alias='itens',
description='Itens do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False
))
url_hash = Field(**dict(
name='url_hash',
alias='url_hash',
description='hash que sera usado para para criar a url',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False
))
nm_user = Field(**dict(
name='nm_user',
alias='nm_user',
description='Nome do usuario',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False
))
HashUrl_content = Content()
HashUrl_content.append(nm_user)
HashUrl_content.append(url_hash)
HashUrl_metadata = GroupMetadata(
name='HashUrl',
alias='HashUrl',
description='HashUrl',
multivalued=False
)
HashUrl = Group(
metadata = HashUrl_metadata,
content = HashUrl_content
)
base_metadata = BaseMetadata(
name='users',
)
content_list = Content()
content_list.append(nome)
content_list.append(matricula)
content_list.append(email)
content_list.append(telefone)
content_list.append(orgao)
content_list.append(cargo)
content_list.append(setor)
content_list.append(permissao)
content_list.append(senha)
content_list.append(favoritos)
content_list.append(home)
content_list.append(itens)
content_list.append(HashUrl)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def lbbase(self):
"""
Generate LB Base object
:return:
"""
location_name = Field(**dict(name='location_name',
description='Location name',
alias='Location name',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
latitude = Field(**dict(name='latitude',
description='Latitude',
alias='Latitude',
datatype='Decimal',
indices=[],
multivalued=False,
required=True))
longitude = Field(**dict(name='longitude',
description='Longitude',
alias='longitude',
datatype='Decimal',
indices=[],
multivalued=False,
required=True))
location_type = Field(**dict(name='location_type',
description='Location type',
alias='Location type',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
loc_origin = Field(**dict(name='loc_origin',
description='Location origin',
alias='Location origin',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
city = Field(**dict(
name='city',
description=
'Location that comes from social networks. Used in searches',
alias='City',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
base_metadata = BaseMetadata(**dict(
name='location',
description='Status location',
idx_exp=True,
idx_exp_url=self.es_url + '/location',
idx_exp_time=300,
))
content_list = Content()
content_list.append(location_name)
content_list.append(latitude)
content_list.append(longitude)
content_list.append(location_type)
content_list.append(loc_origin)
content_list.append(city)
lbbase = Base(metadata=base_metadata, content=content_list)
return lbbase
def attribute2lbfield(attr_name, attr_type, attr_value):
"""
Convert object attributes to LB Field
@param elm: Elm dictionary of attributes description
@return: LB Field Object
"""
try:
content_list = Content()
for group_elm in attr_value.__dict__.keys():
# Now convert to field every group element
content_list.append(attribute2lbfield(
#attr_name + '_' + group_elm,
group_elm,
type(attr_value.__dict__.get(group_elm)),
getattr(attr_value, group_elm)))
group_metadata = GroupMetadata(
name=attr_name,
alias=attr_name,
description=attr_name,
multivalued=False)
return Group(
metadata=group_metadata,
content=content_list)
except:
# Now proccess field regularly
if attr_type == dict:
# Consider it a group
content_list = Content()
for group_elm in attr_value.keys():
content_list.append(attribute2lbfield(
#attr_name + '_' + group_elm,
group_elm,
type(attr_value[group_elm]),
attr_value[group_elm]))
group_metadata = GroupMetadata(
name=attr_name,
alias=attr_name,
description=attr_name,
multivalued = False)
return Group(
metadata=group_metadata,
content=content_list)
elif attr_type == list:
# Check for multivalued group
lbtype = 'Text'
if len(attr_value) > 0:
lbtype = pytypes.pytype2lbtype(type(attr_value[0]))
#print(type(attr_value[0]))
try:
content_list = Content()
for group_elm in attr_value[0].__dict__.keys():
# Now convert to field every group element
content_list.append(attribute2lbfield(
#attr_name + '_' + group_elm,
group_elm,
type(attr_value[0].__dict__.get(group_elm)),
getattr(attr_value[0], group_elm)))
group_metadata = GroupMetadata(
name=attr_name,
alias=attr_name,
description=attr_name,
multivalued=True)
return Group(
metadata=group_metadata,
content=content_list)
except:
# Now proccess field regularly
if type(attr_value[0]) == dict:
# Consider it a group
content_list = Content()
for group_elm in attr_value[0].keys():
content_list.append(attribute2lbfield(
#attr_name + '_' + group_elm,
group_elm,
type(attr_value[0][group_elm]),
attr_value[0][group_elm]))
group_metadata = GroupMetadata(
name=attr_name,
alias=attr_name,
description=attr_name,
multivalued = True)
return Group(
metadata=group_metadata,
content=content_list)
#print(lbtype)
return Field(
name=attr_name,
description=attr_name,
alias=attr_name,
datatype = lbtype,
indices = ['Textual'],
multivalued = True,
required = False)
else:
return Field(
name=attr_name,
description=attr_name,
alias=attr_name,
datatype = pytypes.pytype2lbtype(attr_type) or 'Text',
indices = ['Textual'],
multivalued = False,
required = False)
def lbbase(self):
"""
LB Base do órgão
"""
OperatingSystem_item = Field(**dict(name='OperatingSystem_item',
description='Item Coletado',
alias='Item',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True))
OperatingSystem_amount = Field(**dict(name='OperatingSystem_amount',
alias='amount',
description='amount',
datatype='Integer',
indices=['Textual'],
multivalued=False,
required=True))
Win32_BIOS_item = Field(**dict(name='Win32_BIOS_item',
description='Item Coletado',
alias='Item',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True))
Win32_BIOS_amount = Field(**dict(name='Win32_BIOS_amount',
alias='amount',
description='amount',
datatype='Integer',
indices=['Textual'],
multivalued=False,
required=True))
Win32_Processor_item = Field(**dict(name='Win32_Processor_item',
description='Item Coletado',
alias='Item',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True))
Win32_Processor_amount = Field(**dict(name='Win32_Processor_amount',
alias='amount',
description='amount',
datatype='Integer',
indices=['Textual'],
multivalued=False,
required=True))
Win32_DiskDrive_item = Field(**dict(name='Win32_DiskDrive_item',
description='Item Coletado',
alias='Item',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True))
Win32_DiskDrive_amount = Field(**dict(name='Win32_DiskDrive_amount',
alias='amount',
description='amount',
datatype='Integer',
indices=['Textual'],
multivalued=False,
required=True))
Win32_PhysicalMemory_item = Field(
**dict(name='Win32_PhysicalMemory_item',
description='Item Coletado',
alias='Item',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True))
Win32_PhysicalMemory_amount = Field(
**dict(name='Win32_PhysicalMemory_amount',
alias='amount',
description='amount',
datatype='Integer',
indices=['Textual'],
multivalued=False,
required=True))
software_item = Field(**dict(name='SoftwareList_item',
description='Software Coletado',
alias='SoftwareList_item',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True))
software_amount = Field(**dict(name='SoftwareList_amount',
alias='SoftwareList_amount',
description='Software Amount',
datatype='Integer',
indices=['Textual'],
multivalued=False,
required=True))
"""
GROUP Sistema Operacional
"""
OperatingSystem_content = Content()
OperatingSystem_content.append(OperatingSystem_item)
OperatingSystem_content.append(OperatingSystem_amount)
OperatingSystem_metadata = GroupMetadata(name='OperatingSystem',
alias='OperatingSystem',
description='OperatingSystem',
multivalued=False)
OperatingSystem = Group(metadata=OperatingSystem_metadata,
content=OperatingSystem_content)
"""
GROUP Bios
"""
Win32_BIOS_content = Content()
Win32_BIOS_content.append(Win32_BIOS_item)
Win32_BIOS_content.append(Win32_BIOS_amount)
Win32_BIOS_metadata = GroupMetadata(name='Win32_BIOS',
alias='Win32_BIOS',
description='Win32_BIOS',
multivalued=False)
Win32_BIOS = Group(metadata=Win32_BIOS_metadata,
content=Win32_BIOS_content)
"""
GROUP Processador
"""
Win32_Processor_content = Content()
Win32_Processor_content.append(Win32_Processor_item)
Win32_Processor_content.append(Win32_Processor_amount)
Win32_Processor_metadata = GroupMetadata(name='Win32_Processor',
alias='Win32_Processor',
description='Win32_Processor',
multivalued=False)
Win32_Processor = Group(metadata=Win32_Processor_metadata,
content=Win32_Processor_content)
"""
GROUP DiskDrive
"""
Win32_DiskDrive_content = Content()
Win32_DiskDrive_content.append(Win32_DiskDrive_item)
Win32_DiskDrive_content.append(Win32_DiskDrive_amount)
Win32_DiskDrive_metadata = GroupMetadata(name='Win32_DiskDrive',
alias='Win32_DiskDrive',
description='Win32_DiskDrive',
multivalued=False)
Win32_DiskDrive = Group(metadata=Win32_DiskDrive_metadata,
content=Win32_DiskDrive_content)
"""
GROUP PhysicalMemory
"""
Win32_PhysicalMemory_content = Content()
Win32_PhysicalMemory_content.append(Win32_PhysicalMemory_item)
Win32_PhysicalMemory_content.append(Win32_PhysicalMemory_amount)
Win32_PhysicalMemory_metadata = GroupMetadata(
name='Win32_PhysicalMemory',
alias='Win32_PhysicalMemory',
description='Win32_PhysicalMemory',
multivalued=False)
Win32_PhysicalMemory = Group(metadata=Win32_PhysicalMemory_metadata,
content=Win32_PhysicalMemory_content)
"""
GROUP Software
"""
software_content = Content()
software_content.append(software_item)
software_content.append(software_amount)
software_metadata = GroupMetadata(name='SoftwareList',
alias='SoftwareList',
description='Lista de softwares',
multivalued=False)
software = Group(metadata=software_metadata, content=software_content)
base_metadata = BaseMetadata(name=self.nm_base + "_bk", )
content_list = Content()
content_list.append(OperatingSystem)
content_list.append(Win32_BIOS)
content_list.append(Win32_Processor)
content_list.append(Win32_PhysicalMemory)
content_list.append(Win32_DiskDrive)
content_list.append(software)
lbbase = Base(metadata=base_metadata, content=content_list)
return lbbase
def attribute2lbfield(attr_name, attr_type, attr_value):
"""
Convert object attributes to LB Field
@param elm: Elm dictionary of attributes description
@return: LB Field Object
"""
try:
content_list = Content()
for group_elm in attr_value.__dict__.keys():
# Now convert to field every group element
content_list.append(
attribute2lbfield(
#attr_name + '_' + group_elm,
group_elm,
type(attr_value.__dict__.get(group_elm)),
getattr(attr_value, group_elm)))
group_metadata = GroupMetadata(name=attr_name,
alias=attr_name,
description=attr_name,
multivalued=False)
return Group(metadata=group_metadata, content=content_list)
except:
# Now proccess field regularly
if attr_type == dict:
# Consider it a group
content_list = Content()
for group_elm in attr_value.keys():
content_list.append(
attribute2lbfield(
#attr_name + '_' + group_elm,
group_elm,
type(attr_value[group_elm]),
attr_value[group_elm]))
group_metadata = GroupMetadata(name=attr_name,
alias=attr_name,
description=attr_name,
multivalued=False)
return Group(metadata=group_metadata, content=content_list)
elif attr_type == list:
# Check for multivalued group
lbtype = 'Text'
if len(attr_value) > 0:
lbtype = pytypes.pytype2lbtype(type(attr_value[0]))
try:
content_list = Content()
for group_elm in attr_value[0].__dict__.keys():
# Now convert to field every group element
content_list.append(
attribute2lbfield(
#attr_name + '_' + group_elm,
group_elm,
type(attr_value[0].__dict__.get(group_elm)),
getattr(attr_value[0], group_elm)))
group_metadata = GroupMetadata(name=attr_name,
alias=attr_name,
description=attr_name,
multivalued=True)
return Group(metadata=group_metadata, content=content_list)
except:
# Now proccess field regularly
if type(attr_value[0]) == dict:
# Consider it a group
content_list = Content()
for group_elm in attr_value[0].keys():
content_list.append(
attribute2lbfield(
#attr_name + '_' + group_elm,
group_elm,
type(attr_value[0][group_elm]),
attr_value[0][group_elm]))
group_metadata = GroupMetadata(name=attr_name,
alias=attr_name,
description=attr_name,
multivalued=True)
return Group(metadata=group_metadata,
content=content_list)
return Field(name=attr_name,
description=attr_name,
alias=attr_name,
datatype=lbtype,
indices=['Textual'],
multivalued=True,
required=False)
else:
return Field(name=attr_name,
description=attr_name,
alias=attr_name,
datatype=pytypes.pytype2lbtype(attr_type) or 'Text',
indices=['Textual'],
multivalued=False,
required=False)
def lbbase(self):
"""
LB Base de Users
"""
nome = Field(**dict(name='nome',
description='Nome do Usuário',
alias='nome',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
matricula = Field(**dict(name='matricula',
alias='matricula',
description='Matricula do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
email = Field(**dict(name='email',
alias='email',
description='E-mail do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
telefone = Field(**dict(name='telefone',
alias='telefone',
description='Telefone do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
orgao = Field(**dict(name='orgao',
alias='orgao',
description='Orgão do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
cargo = Field(**dict(name='cargo',
alias='cargo',
description='Cargo do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
setor = Field(**dict(name='setor',
alias='setor',
description='Setor do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
permissao = Field(**dict(name='permissao',
alias='permissao',
description='Permissão do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
senha = Field(**dict(name='senha',
alias='senha',
description='Senha do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
favoritos = Field(**dict(name='favoritos',
alias='favoritos',
description='Favoritos do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False))
home = Field(**dict(name='home',
alias='home',
description='Home do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False))
itens = Field(**dict(name='itens',
alias='itens',
description='Itens do Usuário',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False))
url_hash = Field(
**dict(name='url_hash',
alias='url_hash',
description='hash que sera usado para para criar a url',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False))
nm_user = Field(**dict(name='nm_user',
alias='nm_user',
description='Nome do usuario',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False))
HashUrl_content = Content()
HashUrl_content.append(nm_user)
HashUrl_content.append(url_hash)
HashUrl_metadata = GroupMetadata(name='HashUrl',
alias='HashUrl',
description='HashUrl',
multivalued=False)
HashUrl = Group(metadata=HashUrl_metadata, content=HashUrl_content)
base_metadata = BaseMetadata(name='users', )
content_list = Content()
content_list.append(nome)
content_list.append(matricula)
content_list.append(email)
content_list.append(telefone)
content_list.append(orgao)
content_list.append(cargo)
content_list.append(setor)
content_list.append(permissao)
content_list.append(senha)
content_list.append(favoritos)
content_list.append(home)
content_list.append(itens)
content_list.append(HashUrl)
lbbase = Base(metadata=base_metadata, content=content_list)
return lbbase
def lbbase(self):
"""
Configuração da Coleta
"""
nome_orgao = Field(**dict(
name='nome_orgao',
description='Nome do Órgão',
alias='nome_orgao',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
data_coleta = Field(**dict(
name='data_coleta',
description='Data da Coleta',
alias='data_coleta',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
hash_machine = Field(**dict(
name='hash_machine',
description='hash para maquinas',
alias='hash_machine',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
data_ultimo_acesso = Field(**dict(
name='data_ultimo_acesso',
description='data do ultimo acesso',
alias='data acesso',
datatype='DateTime',
indices=['Textual'],
multivalued=False,
required=False
))
# Adições Jansen: 2015-11-26
mac = Field(**dict(
name='mac',
description='MAC Address',
alias='MAC',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
ip_computador = Field(**dict(
name='ip_computador',
description='IP do Computador',
alias='Endereço IP',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
ip_rede = Field(**dict(
name='ip_rede',
description='IP da Rede',
alias='IP da Rede',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
nome_rede = Field(**dict(
name='nome_rede',
description='Nome da Rede',
alias='Nome da Rede',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
"""
LB Processadores
"""
Win32_Processor_Manufacturer = Field(**dict(
name='Win32_Processor_Manufacturer',
description='Win32_Processor_Manufacturer',
alias='Win32_Processor_Manufacturer',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
Win32_Processor_NumberOfLogicalProcessors = Field(**dict(
name='Win32_Processor_NumberOfLogicalProcessors',
description='Win32_Processor_NumberOfLogicalProcessors',
alias='Win32_Processor_NumberOfLogicalProcessors',
datatype='Integer',
indices=[],
multivalued=False,
required=False
))
Win32_Processor_Caption = Field(**dict(
name='Win32_Processor_Caption',
description='Win32_Processor_Caption',
alias='Win32_Processor_Caption',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
Win32_Processor_MaxClockSpeed = Field(**dict(
name='Win32_Processor_MaxClockSpeed',
description='Win32_Processor_MaxClockSpeed',
alias='Win32_Processor_MaxClockSpeed',
datatype='Integer',
indices=[],
multivalued=False,
required=False
))
Win32_Processor_Family = Field(**dict(
name='Win32_Processor_Family',
description='Win32_Processor_Family',
alias='Win32_Processor_Family',
datatype='Integer',
indices=[],
multivalued=False,
required=False
))
# Adições Jansen: 2015-11-26
win32_processor_installdate = Field(**dict(
name='win32_processor_installdate',
description='win32_processor_installdate',
alias='win32_processor_installdate',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
"""
BaseBoard
"""
# Adições Jansen: 2015-11-26
win32_baseboard_installdate = Field(**dict(
name='win32_baseboard_installdate',
description='win32_baseboard_installdate',
alias='win32_baseboard_installdate',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
"""
LB Sistema Operacional
"""
OperatingSystem_Version = Field(**dict(
name='OperatingSystem_Version',
description='OperatingSystem_Version',
alias='OperatingSystem_Version',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
OperatingSystem_InstallDate = Field(**dict(
name='OperatingSystem_InstallDate',
description='OperatingSystem_InstallDate',
alias='OperatingSystem_InstallDate',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
OperatingSystem_Caption = Field(**dict(
name='OperatingSystem_Caption',
description='OperatingSystem_Caption',
alias='OperatingSystem_Caption',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
"""
LB SoftwareList
"""
SoftwareList = Field(**dict(
name='SoftwareList',
description='SoftwareList',
alias='SoftwareList',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False
))
"""
LB Bios
"""
Win32_BIOS_Manufacturer = Field(**dict(
name='Win32_BIOS_Manufacturer',
description='Win32_BIOS_Manufacturer',
alias='Win32_BIOS_Manufacturer',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
# Adições Jansen: 2015-11-26
win32_bios_installdate = Field(**dict(
name='win32_bios_installdate',
description='win32_bios_installdate',
alias='win32_bios_installdate',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
win32_bios_releasedate = Field(**dict(
name='win32_bios_releasedate',
description='win32_bios_releasedate',
alias='win32_bios_releasedate',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
"""
LB Physical Memory
"""
Win32_PhysicalMemory_MemoryType = Field(**dict(
name='Win32_PhysicalMemory_MemoryType',
description='Win32_PhysicalMemory_MemoryType',
alias='Win32_PhysicalMemory_MemoryType',
datatype='Integer',
indices=[],
multivalued=False,
required=False
))
Win32_PhysicalMemory_Capacity = Field(**dict(
name='Win32_PhysicalMemory_Capacity',
description='Win32_PhysicalMemory_Capacity',
alias='Win32_PhysicalMemory_Capacity',
datatype='Integer',
indices=[],
multivalued=False,
required=False
))
"""
LB Disk
"""
Win32_DiskDrive_Caption = Field(**dict(
name='Win32_DiskDrive_Caption',
description='Win32_DiskDrive_Caption',
alias='Win32_DiskDrive_Caption',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
Win32_DiskDrive_Model = Field(**dict(
name='Win32_DiskDrive_Model',
description='Win32_DiskDrive_Model',
alias='Win32_DiskDrive_Model',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
Win32_DiskDrive_Size = Field(**dict(
name='Win32_DiskDrive_Size',
description='Win32_DiskDrive_Size',
alias='Win32_DiskDrive_Size',
datatype='Integer',
indices=[],
multivalued=False,
required=False
))
"""
GROUP Sistema Operacional
"""
OperatingSystem_content = Content()
OperatingSystem_content.append(OperatingSystem_Version)
OperatingSystem_content.append(OperatingSystem_InstallDate)
OperatingSystem_content.append(OperatingSystem_Caption)
OperatingSystem_metadata = GroupMetadata(
name='OperatingSystem',
alias='OperatingSystem',
description='OperatingSystem',
multivalued=False
)
OperatingSystem = Group(
metadata=OperatingSystem_metadata,
content=OperatingSystem_content
)
"""
GROUP Bios
"""
Win32_BIOS_content = Content()
Win32_BIOS_content.append(Win32_BIOS_Manufacturer)
Win32_BIOS_content.append(win32_bios_installdate)
Win32_BIOS_content.append(win32_bios_releasedate)
Win32_BIOS_metadata = GroupMetadata(
name='Win32_BIOS',
alias='Win32_BIOS',
description='Win32_BIOS',
multivalued=False
)
Win32_BIOS = Group(
metadata = Win32_BIOS_metadata,
content = Win32_BIOS_content
)
"""
GROUP Processador
"""
Win32_Processor_content = Content()
Win32_Processor_content.append(Win32_Processor_Manufacturer)
Win32_Processor_content.append(Win32_Processor_NumberOfLogicalProcessors)
Win32_Processor_content.append(Win32_Processor_Caption)
Win32_Processor_content.append(Win32_Processor_MaxClockSpeed)
Win32_Processor_content.append(Win32_Processor_Family)
Win32_Processor_content.append(win32_processor_installdate)
Win32_Processor_metadata = GroupMetadata(
name='Win32_Processor',
alias='Win32_Processor',
description='Win32_Processor',
multivalued = False
)
Win32_Processor = Group(
metadata = Win32_Processor_metadata,
content = Win32_Processor_content
)
"""
GROUP Physical Memory
"""
Win32_PhysicalMemory_content = Content()
Win32_PhysicalMemory_content.append(Win32_PhysicalMemory_Capacity)
Win32_PhysicalMemory_content.append(Win32_PhysicalMemory_MemoryType)
Win32_PhysicalMemory_metadata = GroupMetadata(
name='Win32_PhysicalMemory',
alias='Win32_PhysicalMemory',
description='Win32_PhysicalMemory',
multivalued=False
)
Win32_PhysicalMemory = Group(
metadata=Win32_PhysicalMemory_metadata,
content=Win32_PhysicalMemory_content
)
"""
GROUP Logical Disk
"""
Win32_DiskDrive_content = Content()
Win32_DiskDrive_content.append(Win32_DiskDrive_Caption)
Win32_DiskDrive_content.append(Win32_DiskDrive_Model)
Win32_DiskDrive_content.append(Win32_DiskDrive_Size)
Win32_DiskDrive_metadata = GroupMetadata(
name='Win32_DiskDrive',
alias='Win32_DiskDrive',
description='Win32_DiskDrive',
multivalued=False
)
Win32_DiskDrive = Group(
metadata=Win32_DiskDrive_metadata,
content=Win32_DiskDrive_content
)
"""
Group BaseBoard
"""
Win32_BaseBoard_content = Content()
Win32_BaseBoard_content.append(win32_baseboard_installdate)
Win32_BaseBoard_metadata = GroupMetadata(
name='Win32_BaseBoard',
alias='Win32_BaseBoard',
description='Win32_BaseBoard',
multivalued=False
)
Win32_BaseBoard = Group(
metadata=Win32_BaseBoard_metadata,
content=Win32_BaseBoard_content
)
base_metadata = BaseMetadata(
name='orgaos_bk',
)
content_list = Content()
content_list.append(data_coleta)
content_list.append(Win32_Processor)
content_list.append(OperatingSystem)
content_list.append(Win32_BIOS)
content_list.append(Win32_PhysicalMemory)
content_list.append(Win32_DiskDrive)
content_list.append(Win32_BaseBoard)
content_list.append(SoftwareList)
content_list.append(hash_machine)
content_list.append(data_ultimo_acesso)
content_list.append(mac)
content_list.append(ip_computador)
content_list.append(ip_rede)
content_list.append(nome_rede)
content_list.append(nome_orgao)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def lbbase(self):
"""
Generate LB Base object
:return:
"""
category_name = Field(**dict(
name='category_name',
description='category name',
alias='category_name',
datatype='Text',
indices=['Ordenado', 'Unico'],
multivalued=False,
required=True
))
category_pretty_name = Field(**dict(
name='category_pretty_name',
description='category pretty name',
alias='category_pretty_name',
datatype='Text',
indices=['Ordenado'],
multivalued=False,
required=True
))
description = Field(**dict(
name='description',
description='category description',
alias='description',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
tokens = Field(**dict(
name='tokens',
description='Identified tokens for this category',
alias='tokens',
datatype='Text',
indices=['Ordenado'],
multivalued=True,
required=False
))
total = Field(**dict(
name='total',
description='Total criminal events',
alias='total',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False
))
date = Field(**dict(
name='date',
description='Taxonomy last update',
alias='date',
datatype='DateTime',
indices=['Ordenado'],
multivalued=False,
required=True
))
images = Field(**dict(
name='images',
description='Taxonomy related images',
alias='images',
datatype='File',
indices=[],
multivalued=True,
required=False
))
default_token = Field(**dict(
name='default_token',
description='Default token for this category',
alias='default_token',
datatype='Text',
indices=['Ordenado'],
multivalued=False,
required=False
))
color = Field(**dict(
name='color',
description='Color to be shown on interface',
alias='Color',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
base_metadata = BaseMetadata(**dict(
name='crime',
description='Criminal data from social networks',
password='******',
idx_exp=True,
idx_exp_url=self.es_url + '/crime',
idx_exp_time=300,
file_ext=True,
file_ext_time=300,
color='#FFFFFF'
))
content_list = Content()
content_list.append(total)
content_list.append(category_name)
content_list.append(category_pretty_name)
content_list.append(description)
content_list.append(tokens)
content_list.append(date)
content_list.append(images)
content_list.append(default_token)
content_list.append(color)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def lbbase(self):
"""
Generate LB Base object
:return:
"""
location_name = Field(**dict(
name='location_name',
description='Location name',
alias='Location name',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
latitude = Field(**dict(
name='latitude',
description='Latitude',
alias='Latitude',
datatype='Decimal',
indices=[],
multivalued=False,
required=True
))
longitude = Field(**dict(
name='longitude',
description='Longitude',
alias='longitude',
datatype='Decimal',
indices=[],
multivalued=False,
required=True
))
location_type = Field(**dict(
name='location_type',
description='Location type',
alias='Location type',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
loc_origin = Field(**dict(
name='loc_origin',
description='Location origin',
alias='Location origin',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
city = Field(**dict(
name='city',
description='Location that comes from social networks. Used in searches',
alias='City',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
base_metadata = BaseMetadata(**dict(
name='location',
description='Status location',
idx_exp=True,
idx_exp_url=self.es_url + '/location',
idx_exp_time=300,
))
content_list = Content()
content_list.append(location_name)
content_list.append(latitude)
content_list.append(longitude)
content_list.append(location_type)
content_list.append(loc_origin)
content_list.append(city)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def setUp(self):
"""
Load data from previous tests and setup test data
:return:
"""
lbjson_test.TestJSON.setUp(self)
# Start base definition
field = Field(**self.field)
field2 = Field(**self.field2)
content_list = Content()
content_list.append(field)
content_list.append(field2)
group_metadata = GroupMetadata(**self.group_metadata)
group = Group(
metadata=group_metadata,
content=content_list,
)
field3 = Field(**self.field3)
content_list = Content()
content_list.append(group)
content_list.append(field3)
base_metadata = BaseMetadata(**self.base_metadata)
self.base = Base(metadata=base_metadata, content=content_list)
# End Base definition
#self.rest_url = "http://localhost/api"
self.rest_url = "http://127.0.0.1/api"
self.baserest = lbrest.BaseREST(rest_url=self.rest_url,
response_object=True)
pass
def lbbase(self):
"""
Generate LB Base object
:return:
"""
inclusion_date = Field(**dict(
name='inclusion_date',
description='Attribute inclusion date',
alias='inclusion_date',
datatype='Date',
indices=['Ordenado'],
multivalued=False,
required=False
))
inclusion_datetime = Field(**dict(
name='inclusion_datetime',
description='Attribute inclusion date',
alias='inclusion_datetime',
datatype='DateTime',
indices=['Ordenado'],
multivalued=False,
required=False
))
origin = Field(**dict(
name='origin',
alias='origin',
description='Where this status came from',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
search_term = Field(**dict(
name='search_term',
alias='search_term',
description='Term used on search',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
source = Field(**dict(
name='source',
alias='source',
description='Original status source',
datatype='Json',
indices=['Textual', 'Unico'],
multivalued=False,
required=True
))
text = Field(**dict(
name='text',
alias='text',
description='Status original text',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
tokens = Field(**dict(
name='tokens',
alias='tokens',
description='Tokens extracted from Semantic Role Labeling',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False
))
hashtags = Field(**dict(
name='hashtags',
alias='hashtags',
description='Hashtags identified',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False
))
arg_content_list = Content()
arg_metadata = GroupMetadata(**dict(
name='arg_structures',
alias='arg_structures',
description='SRL arg structures',
multivalued=True
))
predicate = Field(**dict(
name='predicate',
alias='predicate',
description='Predicate for term in SRL',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
arg_content_list.append(predicate)
argument_metadata = GroupMetadata(**dict(
name='argument',
alias='argument',
description='Argument for term in SRL',
multivalued=True
))
argument_list = Content()
argument_name = Field(**dict(
name='argument_name',
alias='argument_name',
description='Argument identification',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
argument_list.append(argument_name)
argument_value = Field(**dict(
name='argument_value',
alias='argument_value',
description='Argument Value for SRL',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False
))
argument_list.append(argument_value)
argument = Group(
metadata=argument_metadata,
content=argument_list
)
arg_content_list.append(argument)
arg_structures = Group(
metadata=arg_metadata,
content=arg_content_list
)
events_tokens = Field(**dict(
name='events_tokens',
alias='events_tokens',
description='Identified Events tokens',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False
))
selected_category = Field(**dict(
name='selected_category',
alias='selected_category',
description='Manually selected category',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False
))
positives = Field(**dict(
name='positives',
alias='positives',
description='Positive crime identification',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False
))
negatives = Field(**dict(
name='negatives',
alias='negatives',
description='False positive on crime identification',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False
))
location_list = Content()
id_location = Field(**dict(
name='id_location',
alias='ID Location',
description='Location Identification',
datatype='Integer',
indices=[],
multivalued=False,
required=False
))
location_list.append(id_location)
latitude = Field(**dict(
name='latitude',
alias='Latitude',
description='Latitude',
datatype='Decimal',
indices=[],
multivalued=False,
required=False
))
location_list.append(latitude)
longitude = Field(**dict(
name='longitude',
alias='Longitude',
description='Longitude',
datatype='Decimal',
indices=[],
multivalued=False,
required=False
))
location_list.append(longitude)
city = Field(**dict(
name='city',
alias='City',
description='City identified',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
location_list.append(city)
loc_origin = Field(**dict(
name='loc_origin',
alias='Location Origin',
description='Origin from location identificaton',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
location_list.append(loc_origin)
location_metadata = GroupMetadata(**dict(
name='location',
alias='location',
description='Status origin',
multivalued=False
))
location = Group(
metadata=location_metadata,
content=location_list
)
# Category
category_list = Content()
category_id_doc = Field(**dict(
name='category_id_doc',
alias='Category ID',
description='id_doc for category in category base',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False
))
category_list.append(category_id_doc)
category_probability = Field(**dict(
name='category_probability',
alias='Category Probability',
description='Classification probability',
datatype='Decimal',
indices=[],
multivalued=False,
required=False
))
category_list.append(category_probability)
category_metadata = GroupMetadata(**dict(
name='category',
alias='Category',
description='Category classification information',
multivalued=False
))
category = Group(
metadata=category_metadata,
content=category_list
)
# Brasil City
city_list = Content()
city_id = Field(**dict(
name='city_id',
alias='City ID',
description='Id for city in LBGeo database',
datatype='Integer',
indices=[],
multivalued=False,
required=False
))
city_list.append(city_id)
city_name = Field(**dict(
name='city_name',
alias='City Name',
description='City name in LBGeo database',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
city_list.append(city_name)
city_state_id = Field(**dict(
name='city_state_id',
alias='City State ID',
description='Id for state in LBGeo database',
datatype='Integer',
indices=[],
multivalued=False,
required=False
))
city_list.append(city_state_id)
state_name = Field(**dict(
name='state_name',
alias='State Name',
description='State Name in LBGeo database',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
city_list.append(state_name)
state_short_name = Field(**dict(
name='state_short_name',
alias='UF',
description='UF in LBGeo database',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
city_list.append(state_short_name)
state_slug = Field(**dict(
name='state_slug',
alias='Stte Slug',
description='State Slug in LBGeo database',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
city_list.append(state_slug)
city_slug = Field(**dict(
name='city_slug',
alias='City Slug',
description='City Slug in LBGeo database',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
city_list.append(city_slug)
city_lat = Field(**dict(
name='city_lat',
alias='City Latitude',
description='City Latitude in LBGeo database',
datatype='Decimal',
indices=[],
multivalued=False,
required=False
))
city_list.append(city_lat)
city_lng = Field(**dict(
name='city_lng',
alias='City Longitude',
description='City Longitude in LBGeo database',
datatype='Decimal',
indices=[],
multivalued=False,
required=False
))
city_list.append(city_lng)
city_distance = Field(**dict(
name='city_distance',
alias='City Distance',
description='Distance from city in LBGeo database',
datatype='Decimal',
indices=[],
multivalued=False,
required=False
))
city_list.append(city_distance)
city_metadata = GroupMetadata(**dict(
name='brasil_city',
alias='City in Brasil',
description='City in Brasil identified by LBGeo',
multivalued=False
))
brasil_city = Group(
metadata=city_metadata,
content=city_list
)
base_metadata = BaseMetadata(**dict(
name=self.status_base,
description='Status from social networks',
password='******',
idx_exp=False,
idx_exp_url='index_url',
idx_exp_time=300,
file_ext=True,
file_ext_time=300,
color='#FFFFFF'
))
content_list = Content()
content_list.append(inclusion_date)
content_list.append(inclusion_datetime)
content_list.append(text)
content_list.append(search_term)
content_list.append(tokens)
content_list.append(arg_structures)
content_list.append(origin)
content_list.append(source)
content_list.append(events_tokens)
content_list.append(selected_category)
content_list.append(positives)
content_list.append(negatives)
content_list.append(location)
content_list.append(hashtags)
content_list.append(category)
content_list.append(brasil_city)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def lbbase(self):
"""
LB Base de Notify
"""
orgao = Field(**dict(
name='orgao',
description='Órgão referente a notrificção',
alias='orgao',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
data_coleta = Field(**dict(
name='data_coleta',
alias='data_coleta',
description='data da coleta notificada',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
notify = Field(**dict(
name='notify',
alias='notify',
description='tipo de notificação',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
coment = Field(**dict(
name='coment',
alias='coment',
description='comentario',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
status = Field(**dict(
name='status',
alias='status',
description='status da notificação',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
base_metadata = BaseMetadata(
name='notify',
)
content_list = Content()
content_list.append(orgao)
content_list.append(data_coleta)
content_list.append(notify)
content_list.append(coment)
content_list.append(status)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def lbbase(self):
"""
Base no LB
:return: LB Base object
"""
tipo = Field(**dict(
name='tipo',
description='Tipo de atividade',
alias='tipo',
datatype='Text',
indices=['Textual', 'Ordenado'],
multivalued=False,
required=True
))
usuario = Field(**dict(
name='usuario',
description='Usuário que realizou a atividade',
alias='usuario',
datatype='Text',
indices=['Textual', 'Ordenado'],
multivalued=False,
required=True
))
descricao = Field(**dict(
name='descricao',
description='Descrição da atividade',
alias='descricao',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
data = Field(**dict(
name='data',
description='Data de execução da tarefa',
alias='data',
datatype='Date',
indices=['Ordenado'],
multivalued=False,
required=True
))
data_hora = Field(**dict(
name='data_hora',
description='Data e Hora de execução da tarefa',
alias='data_hora',
datatype='DateTime',
indices=['Ordenado'],
multivalued=False,
required=False
))
content_list = Content()
content_list.append(tipo)
content_list.append(usuario)
content_list.append(descricao)
content_list.append(data)
content_list.append(data_hora)
base_metadata = BaseMetadata(
name='atividade'
)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def lbbase(self):
"""
Generate LB Base object
:return:
"""
inclusion_date = Field(**dict(name='inclusion_date',
description='Attribute inclusion date',
alias='inclusion_date',
datatype='Date',
indices=['Ordenado'],
multivalued=False,
required=False))
inclusion_datetime = Field(
**dict(name='inclusion_datetime',
description='Attribute inclusion date',
alias='inclusion_datetime',
datatype='DateTime',
indices=['Ordenado'],
multivalued=False,
required=False))
origin = Field(**dict(name='origin',
alias='origin',
description='Where this status came from',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
search_term = Field(**dict(name='search_term',
alias='search_term',
description='Term used on search',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
source = Field(**dict(name='source',
alias='source',
description='Original status source',
datatype='Json',
indices=['Textual', 'Unico'],
multivalued=False,
required=True))
text = Field(**dict(name='text',
alias='text',
description='Status original text',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False))
tokens = Field(
**dict(name='tokens',
alias='tokens',
description='Tokens extracted from Semantic Role Labeling',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False))
hashtags = Field(**dict(name='hashtags',
alias='hashtags',
description='Hashtags identified',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False))
arg_content_list = Content()
arg_metadata = GroupMetadata(**dict(name='arg_structures',
alias='arg_structures',
description='SRL arg structures',
multivalued=True))
predicate = Field(**dict(name='predicate',
alias='predicate',
description='Predicate for term in SRL',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False))
arg_content_list.append(predicate)
argument_metadata = GroupMetadata(
**dict(name='argument',
alias='argument',
description='Argument for term in SRL',
multivalued=True))
argument_list = Content()
argument_name = Field(**dict(name='argument_name',
alias='argument_name',
description='Argument identification',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False))
argument_list.append(argument_name)
argument_value = Field(**dict(name='argument_value',
alias='argument_value',
description='Argument Value for SRL',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False))
argument_list.append(argument_value)
argument = Group(metadata=argument_metadata, content=argument_list)
arg_content_list.append(argument)
arg_structures = Group(metadata=arg_metadata, content=arg_content_list)
events_tokens = Field(**dict(name='events_tokens',
alias='events_tokens',
description='Identified Events tokens',
datatype='Text',
indices=['Textual'],
multivalued=True,
required=False))
selected_category = Field(
**dict(name='selected_category',
alias='selected_category',
description='Manually selected category',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False))
positives = Field(**dict(name='positives',
alias='positives',
description='Positive crime identification',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False))
negatives = Field(
**dict(name='negatives',
alias='negatives',
description='False positive on crime identification',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False))
location_list = Content()
id_location = Field(**dict(name='id_location',
alias='ID Location',
description='Location Identification',
datatype='Integer',
indices=[],
multivalued=False,
required=False))
location_list.append(id_location)
latitude = Field(**dict(name='latitude',
alias='Latitude',
description='Latitude',
datatype='Decimal',
indices=[],
multivalued=False,
required=False))
location_list.append(latitude)
longitude = Field(**dict(name='longitude',
alias='Longitude',
description='Longitude',
datatype='Decimal',
indices=[],
multivalued=False,
required=False))
location_list.append(longitude)
city = Field(**dict(name='city',
alias='City',
description='City identified',
datatype='Text',
indices=[],
multivalued=False,
required=False))
location_list.append(city)
loc_origin = Field(
**dict(name='loc_origin',
alias='Location Origin',
description='Origin from location identificaton',
datatype='Text',
indices=[],
multivalued=False,
required=False))
location_list.append(loc_origin)
location_metadata = GroupMetadata(**dict(name='location',
alias='location',
description='Status origin',
multivalued=False))
location = Group(metadata=location_metadata, content=location_list)
# Category
category_list = Content()
category_id_doc = Field(
**dict(name='category_id_doc',
alias='Category ID',
description='id_doc for category in category base',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False))
category_list.append(category_id_doc)
category_probability = Field(
**dict(name='category_probability',
alias='Category Probability',
description='Classification probability',
datatype='Decimal',
indices=[],
multivalued=False,
required=False))
category_list.append(category_probability)
category_metadata = GroupMetadata(
**dict(name='category',
alias='Category',
description='Category classification information',
multivalued=False))
category = Group(metadata=category_metadata, content=category_list)
# Brasil City
city_list = Content()
city_id = Field(**dict(name='city_id',
alias='City ID',
description='Id for city in LBGeo database',
datatype='Integer',
indices=[],
multivalued=False,
required=False))
city_list.append(city_id)
city_name = Field(**dict(name='city_name',
alias='City Name',
description='City name in LBGeo database',
datatype='Text',
indices=[],
multivalued=False,
required=False))
city_list.append(city_name)
city_state_id = Field(
**dict(name='city_state_id',
alias='City State ID',
description='Id for state in LBGeo database',
datatype='Integer',
indices=[],
multivalued=False,
required=False))
city_list.append(city_state_id)
state_name = Field(**dict(name='state_name',
alias='State Name',
description='State Name in LBGeo database',
datatype='Text',
indices=[],
multivalued=False,
required=False))
city_list.append(state_name)
state_short_name = Field(**dict(name='state_short_name',
alias='UF',
description='UF in LBGeo database',
datatype='Text',
indices=[],
multivalued=False,
required=False))
city_list.append(state_short_name)
state_slug = Field(**dict(name='state_slug',
alias='Stte Slug',
description='State Slug in LBGeo database',
datatype='Text',
indices=[],
multivalued=False,
required=False))
city_list.append(state_slug)
city_slug = Field(**dict(name='city_slug',
alias='City Slug',
description='City Slug in LBGeo database',
datatype='Text',
indices=[],
multivalued=False,
required=False))
city_list.append(city_slug)
city_lat = Field(**dict(name='city_lat',
alias='City Latitude',
description='City Latitude in LBGeo database',
datatype='Decimal',
indices=[],
multivalued=False,
required=False))
city_list.append(city_lat)
city_lng = Field(**dict(name='city_lng',
alias='City Longitude',
description='City Longitude in LBGeo database',
datatype='Decimal',
indices=[],
multivalued=False,
required=False))
city_list.append(city_lng)
city_distance = Field(
**dict(name='city_distance',
alias='City Distance',
description='Distance from city in LBGeo database',
datatype='Decimal',
indices=[],
multivalued=False,
required=False))
city_list.append(city_distance)
city_metadata = GroupMetadata(
**dict(name='brasil_city',
alias='City in Brasil',
description='City in Brasil identified by LBGeo',
multivalued=False))
brasil_city = Group(metadata=city_metadata, content=city_list)
base_metadata = BaseMetadata(
**dict(name=self.status_base,
description='Status from social networks',
password='******',
idx_exp=False,
idx_exp_url='index_url',
idx_exp_time=300,
file_ext=True,
file_ext_time=300,
color='#FFFFFF'))
content_list = Content()
content_list.append(inclusion_date)
content_list.append(inclusion_datetime)
content_list.append(text)
content_list.append(search_term)
content_list.append(tokens)
content_list.append(arg_structures)
content_list.append(origin)
content_list.append(source)
content_list.append(events_tokens)
content_list.append(selected_category)
content_list.append(positives)
content_list.append(negatives)
content_list.append(location)
content_list.append(hashtags)
content_list.append(category)
content_list.append(brasil_city)
lbbase = Base(metadata=base_metadata, content=content_list)
return lbbase
def lbbase(self):
"""
Generate LB Base object
:return:
"""
analysis_date = Field(**dict(
name='analysis_date',
description='Analysis date',
alias='analysis_date',
datatype='DateTime',
indices=['Ordenado'],
multivalued=False,
required=True
))
analysis_end_date = Field(**dict(
name='analysis_end_date',
description='Analysis end date',
alias='analysis_date',
datatype='DateTime',
indices=[],
multivalued=False,
required=False
))
total_status = Field(**dict(
name='total_status',
description='Total Status Analyzed',
alias='total_status',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=True
))
total_crimes = Field(**dict(
name='total_crimes',
description='Total Crimes Identified',
alias='total_crimes',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=True
))
total_positives = Field(**dict(
name='total_positives',
description='Total positive status',
alias='total_positives',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False
))
# Add states analysis
state_list = Content()
state_uf = Field(**dict(
name='state_uf',
description='State UF',
alias='UF',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
state_list.append(state_uf)
state_name = Field(**dict(
name='state_name',
description='State Name',
alias='Estado',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
state_list.append(state_name)
category_list = Content()
category_id_doc = Field(**dict(
name='category_id_doc',
description='Category ID',
alias='ID Categoria',
datatype='Integer',
indices=[],
multivalued=False,
required=False
))
category_list.append(category_id_doc)
category_name = Field(**dict(
name='category_name',
description='Category Name',
alias='Categoria',
datatype='Text',
indices=[],
multivalued=False,
required=False
))
category_list.append(category_name)
category_status = Field(**dict(
name='category_status',
description='Category Status Ocurrences',
alias='Status',
datatype='Integer',
indices=[],
multivalued=False,
required=False
))
category_list.append(category_status)
category_metadata = GroupMetadata(**dict(
name='category',
alias='Categoria',
description='Categories data',
multivalued=True
))
category = Group(
metadata=category_metadata,
content=category_list
)
# Add to state group
state_list.append(category)
state_metadata = GroupMetadata(**dict(
name='state',
alias='Estado',
description='States Data',
multivalued=True
))
state = Group(
metadata=state_metadata,
content=state_list
)
status_list = Content()
status_id_doc = Field(**dict(
name='status_id_doc',
description='Identified status id_doc',
alias='status_id_doc',
datatype='Integer',
indices=['Ordenado', 'Unico'],
multivalued=False,
required=False
))
status_list.append(status_id_doc)
status_positives = Field(**dict(
name='status_positives',
description='Number of positives for status',
alias='status_positives',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False
))
status_list.append(status_positives)
status_negatives = Field(**dict(
name='status_negatives',
description='Number of negatives for status',
alias='status_negatives',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=False
))
status_list.append(status_negatives)
status_metadata = GroupMetadata(**dict(
name='status_crimes',
alias='status_crimes',
description='Status identified as crimes',
multivalued=True
))
status_crimes = Group(
metadata=status_metadata,
content=status_list
)
base_metadata = BaseMetadata(**dict(
name='analytics',
description='Criminal data analytics base',
password='******',
idx_exp=False,
idx_exp_url='index_url',
idx_exp_time=300,
file_ext=True,
file_ext_time=300,
color='#FFFFFF'
))
content_list = Content()
content_list.append(analysis_date)
content_list.append(analysis_end_date)
content_list.append(total_status)
content_list.append(total_crimes)
content_list.append(status_crimes)
content_list.append(total_positives)
content_list.append(state)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def lbbase(self):
"""
Generate LB Base object
:return:
"""
nm_base = Field(**dict(
name='nm_base',
description='Nome da base',
alias='Base',
datatype='Text',
indices=['Ordenado'],
multivalued=False,
required=True
))
dt_last_up_orig = Field(**dict(
name='dt_last_up_orig',
description='Data e Hora no formato DD/MM/AAAA - HH:MM:SS '
'da última atualização do registro que originou o erro.',
alias='Data de Atualização',
datatype='DateTime',
indices=['Ordenado', 'Textual'],
multivalued=False,
required=True
))
id_doc_orig = Field(**dict(
name='id_doc_orig',
description='ID do documento que originou o erro.',
alias='Documento',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=True
))
error_msg = Field(**dict(
name='error_msg',
description='Mensagem de erro',
alias='Mensagem',
datatype='Text',
indices=[],
multivalued=False,
required=True
))
dt_error = Field(**dict(
name='dt_error',
description='Data e Hora no formato DD/MM/AAAA - HH:MM:SS do erro',
alias='Data do erro',
datatype='DateTime',
indices=['Textual', 'Ordenado'],
multivalued=False,
required=True
))
content_list = Content()
content_list.append(nm_base)
content_list.append(dt_last_up_orig)
content_list.append(id_doc_orig)
content_list.append(error_msg)
content_list.append(dt_error)
base_metadata = BaseMetadata(**dict(
name='log_lbindex',
description='LightBase - Log de erros do LBIndex',
password='******',
idx_exp=False,
idx_exp_url='rest_url',
idx_exp_time=300,
file_ext=False,
file_ext_time=300,
color='#000000'
))
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
def lbbase(self):
"""
LB Base do órgão
"""
nome = Field(**dict(name='nome',
description='Nome do órgão',
alias='nome',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True))
pretty_name = Field(**dict(name='pretty_name',
description='Nome do órgão',
alias='pretty_name',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
sigla = Field(**dict(name='sigla',
alias='sigla',
description='Sigla do órgão',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True))
gestor = Field(**dict(name='gestor',
alias='gestor',
description='Nome do gestor',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
cargo = Field(**dict(name='cargo',
alias='cargo',
description='Cargo do gestor',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
telefone = Field(**dict(name='telefone',
alias='telefone',
description='Telefone do órgão',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
email = Field(**dict(name='email',
alias='email',
description='E-mail do órgão',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=True))
endereco = Field(**dict(name='endereco',
alias='endereco',
description='Endereço do orgao',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True))
coleta = Field(**dict(name='coleta',
alias='coleta',
description='Intervalo de coleta',
datatype='Integer',
indices=[],
multivalued=False,
required=False))
url = Field(**dict(name='url',
alias='url',
description='Url da base de dados',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=False))
siorg = Field(**dict(name='siorg',
alias='siorg',
description='Código do SIORG',
datatype='Text',
indices=['Textual', 'Unico'],
multivalued=False,
required=False))
habilitar_bot = Field(**dict(name='habilitar_bot',
alias='habilitar_bot',
description='Habilitar Bot',
datatype='Boolean',
indices=[],
multivalued=False,
required=False))
api_key = Field(**dict(name='api_key',
alias='api_key',
description='Chave de API',
datatype='Text',
indices=[],
multivalued=False,
required=True))
base_metadata = BaseMetadata(name='orgaos', )
content_list = Content()
content_list.append(nome)
content_list.append(pretty_name)
content_list.append(sigla)
content_list.append(gestor)
content_list.append(cargo)
content_list.append(telefone)
content_list.append(email)
content_list.append(endereco)
content_list.append(coleta)
content_list.append(url)
content_list.append(habilitar_bot)
content_list.append(api_key)
content_list.append(siorg)
lbbase = Base(metadata=base_metadata, content=content_list)
return lbbase
def lbbase(self):
"""
COnfiguração da Coleta
"""
nome_orgao = Field(**dict(
name='nome_orgao',
description='Nome do Órgão',
alias='nome_orgao',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
nome_relatorio = Field(**dict(
name='nome_relatorio',
description='Nome do Relatório',
alias='nome_relatorio',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
data_coleta = Field(**dict(
name='data_coleta',
description='Data da Coleta',
alias='data_coleta',
datatype='DateTime',
indices=['Ordenado'],
multivalued=False,
required=True
))
total_computadores = Field(**dict(
name='total_computadores',
description='Total de Computadores',
alias='total_computadores',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=True
))
nome_item = Field(**dict(
name='nome_item',
description='Nome do Item',
alias='nome_item',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
quantidade_item = Field(**dict(
name='quantidade_item',
description='Quantidades total do item',
alias='quantidade_item',
datatype='Integer',
indices=['Ordenado'],
multivalued=False,
required=True
))
descricao_item = Field(**dict(
name='descricao_item',
description='Descrição',
alias='descricao_item',
datatype='Text',
indices=['Textual'],
multivalued=False,
required=True
))
"""
GROUP Sistema Operacional
"""
ItensGroup_content = Content()
ItensGroup_content.append(nome_item)
ItensGroup_content.append(quantidade_item)
ItensGroup_content.append(descricao_item)
ItensGroup_metadata = GroupMetadata(
name='ItensGroup',
alias='ItensGroup',
description='Grupo de Itens',
multivalued=True
)
ItensGroup = Group(
metadata=ItensGroup_metadata,
content=ItensGroup_content
)
base_metadata = BaseMetadata(
name='all_reports'
)
content_list = Content()
content_list.append(nome_orgao)
content_list.append(nome_relatorio)
content_list.append(data_coleta)
content_list.append(total_computadores)
content_list.append(ItensGroup)
lbbase = Base(
metadata=base_metadata,
content=content_list
)
return lbbase
