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