def revise_node(content, amr_nodes_content, amr_nodes_acronym):
'''
In case of single '()' contains multiple nodes
e.x. (m / moment :poss p5)
:param str context:
:param dict amr_nodes_content: content as key
:param dict amr_nodes_acronym: acronym as key
'''
m = re.search('\w+\s/\s\S+\s+(.+)', content.replace('\n', ''))
if m and ' / name' not in content and ':polarity -' not in content:
arg_nodes = []
acr = re.search('\w+\s/\s\S+', content).group().split(' / ')[0]
nodes = re.findall('\S+\s\".+\"|\S+\s\S+', m.group(1))
for i in nodes:
i = re.search('(:\S+)\s(.+)', i)
role = i.group(1)
concept = i.group(2).strip(')')
if concept in amr_nodes_acronym:
node = copy.copy(amr_nodes_acronym[concept])
node.next_nodes = []
else: # in case of (d / date-entity :year 2012)
node = Node(name=concept)
amr_nodes_acronym[concept] = node
node.edge_label = role
arg_nodes.append(node)
amr_nodes_acronym[acr].next_nodes = arg_nodes
amr_nodes_content[content].next_nodes = arg_nodes
def generate(self, data, attributes): itemsPerClass = Controller.classCount(data) if len(itemsPerClass.keys()) == 1: return Node(data[0][0]) elif len(attributes.keys()) == 0: decision = '' for key in itemsPerClass: decision += key print(decision) print(attributes.keys()) return Node(decision) else: divisions = [[Controller.groupData(data, attributes[label]), label] for label in attributes] for pair in divisions: pair.append(Controller.entropy(data) - Controller.infoGain(pair[0])) divisions.sort(key=lambda e: e[2], reverse=True) choice = divisions[0] attributes = Controller.updateAttributes(attributes, choice[1]) separationNode = Node(choice[1]) if len(attributes.keys()) == 0: for row in data: separationNode.addChildren(Node(row[0]), row[1]) return separationNode for value in choice[0]: separationNode.addChildren(self.generate(choice[0][value], deepcopy(attributes)), value) return separationNode
def fit(self, X, y, min_leaf=10, max_depth=6):
X.index = range(0, X.shape[0], 1)
y.index = range(0, X.shape[0], 1)
self.endi = X.index.stop
#y_test.index=range(4320, 4320+X_test.shape[0],1)
self.dtree = Node(X,
y,
np.array(np.arange(len(y))),
min_leaf,
max_depth=max_depth,
depth=0)
return self
def node_add():
r = {}
n_json = request.get_json()
n = Node.query.filter_by(name=n_json.get('name')).first()
if n is not None:
r['success'] = False
r['message'] = "节点已存在"
else:
node = Node(n_json)
node.save()
r['success'] = True
r['data'] = node.json()
return jsonify(r)
def generate_node_single(content, amr_nodes_content, amr_nodes_acronym):
'''
Generate Node object for single '()'
:param str context:
:param dict amr_nodes_content: content as key
:param dict amr_nodes_acronym: acronym as key
'''
try:
assert content.count('(') == 1 and content.count(')') == 1
except AssertionError:
raise Exception('Unmatched parenthesis')
predict_event = re.search('(\w+)\s/\s(\S+)', content)
if predict_event:
acr = predict_event.group(1) # Acronym
ful = predict_event.group(2).strip(')') # Full name
else:
acr, ful = '-', '-'
# In case of :polarity -
is_polarity = True if re.search(":polarity\s-", content) else False
# Node is a named entity
names = re.findall(':op\d\s\"\S+\"', content)
if len(names) > 0:
entity_name = ''
for i in names:
entity_name += re.match(':op\d\s\"(\S+)\"', i).group(1) + ' '
entity_name = urllib.parse.unquote_plus(entity_name.strip())
new_node = Node(name=acr, ful_name=ful,
entity_name=entity_name,
polarity=is_polarity, content=content)
amr_nodes_content[content] = new_node
amr_nodes_acronym[acr] = new_node
else:
new_node = Node(name=acr, ful_name=ful,
polarity=is_polarity, content=content)
amr_nodes_content[content] = new_node
amr_nodes_acronym[acr] = new_node
def __init__(self, parent=None):
super(App, self).__init__(parent)
print "App"
self.conn = self.db_connect()
self.ui = MainUI()
self.ui.show()
entity = json2obj(
'{"category":"groups","path":"/mnt/x19/mavisdev/projects/geotest/sequence/afg_0025","name":"afg_0025","description":"AFG_0025 sequence","fileImportPath":"","isGlobal":false,"project":"geotest","fields":{"priority":"medium","status":"idle"},"createdBy":"trevor","createdAt":"2016-09-13T20:28:04.745Z","updatedAt":"2017-05-31T21:38:19.935Z","id":"57d861546fef3a0001c87954","type":"sequence","mediaIds":[],"isTest":false}')
entity1 = json2obj(
'{"category":"assets","path":"/mnt/x19/mavisdev/projects/geotest/globals/assets/wood_log","name":"wood_log","description":"a log that is wooden","fileImportPath":"","isGlobal":false,"project":"geotest","fields":{"priority":"medium","status":"review","grouping":"char","comp_status":"Ready","prod_status":"HIGH"},"createdBy":"dexplorer","createdAt":"2017-06-12T20:07:21.739Z","updatedAt":"2017-06-12T20:07:21.798Z","id":"593ef47973d9f40001cf898b","type":"assets","mediaIds":[],"isTest":false}')
entity2 = json2obj(
'{"category":"assets","path":"/mnt/x19/mavisdev/projects/geotest/sequence/afg_0025/shots/afg_0025_0020/plates/plate_afg-0025__0020","name":"plate_afg-0025__0020","description":"plate asse for afg_0025_0020","latest":"583dc9eebc843d0001905bde","fileImportPath":"/mnt/x1/mavisdev/client_imports/geotest/afg_0025_0020/AFG_0025_0020_bg01_v001_LIN.exr","isGlobal":true,"project":"geotest","fields":{"priority":"low","status":"approved","startFrame":10,"endFrame":100,"pxAspect":1,"colorspace":"linear","fileType":"exr","width":1920,"height":1080,"lut":"","ccc":"","head":8,"tail":8,"handle":8},"createdBy":"trevor","createdAt":"2016-11-29T18:31:59.429Z","updatedAt":"2017-05-23T21:17:43.390Z","id":"583dc99fbc843d0001905bd9","type":"plates","mediaIds":[],"parentId":"57d861546fef3a0001c87960","isTest":false}')
entity3 = json2obj(
'{"category":"tasks","path":"/mnt/x19/mavisdev/projects/geotest/globals/assets/wood_log/texture/tex_log","name":"tex_log","description":"texture the wood log","latest":"5941b18073d9f40001cf8a6c","fileImportPath":"","isGlobal":false,"project":"geotest","fields":{"priority":"urgent","status":"revised","grouping":"mtpg","comp_status":"In-Progress","prod_status":"HIGH"},"createdBy":"dexplorer","createdAt":"2017-06-12T20:08:10.814Z","updatedAt":"2017-06-14T21:58:24.772Z","id":"593ef4aa73d9f40001cf8992","type":"texture","mediaIds":[],"isTest":false}')
entity4 = json2obj(
'{"category":"tasks","path":"/mnt/x19/mavisdev/projects/geotest/sequence/mdm_0202/shots/mdm_0202_0100/assets/tuktuka/model/tuktuk_model","name":"tuktuk_model","description":"published plate 6310","latest":"58c6ffe6e925cc00016a6b58","fileImportPath":"","isGlobal":false,"project":"geotest","fields":{"priority":"high","status":"revised","grouping":"vehi","comp_status":"Waiting","prod_status":"MEDIUM"},"createdBy":"trevor","createdAt":"2017-04-13T22:08:33.983Z","updatedAt":"2017-04-18T20:35:28.557Z","id":"589b4f9dc599d10001375de9","type":"model","mediaIds":[],"parentId":"589b4f10c599d10001375de2","isTest":false}')
rootNode = Node('Hips')
childNode0 = Node('LeftPirateleg', entity, rootNode)
childNode1 = Node('RightLeg', entity1, rootNode)
childNode2 = Node('RightFoot', entity2, childNode1)
childNode3 = Node('Xxxree', entity3, childNode2)
childNode4 = Node('kldjskfds', entity4, childNode1)
tree = TreeModel(rootNode)
self.ui.uiTree.setModel(tree)
print tree
def __init__(self, number_node, resource_per_node, application_requests):
"""
Constructor
:param number_node: Integer
:param resource_per_node: Resource Object
:param application_requests: Task Array
"""
self._nodes = []
for i in range(0, number_node):
self._nodes[i] = Node(i, resource_per_node)
self._resource_manager = ResourceManager(self._nodes,
resource_per_node)
self._application_request = application_requests
self._applications = []
self._simulation_date = None
def line_to_node(self, line, i):
splitted_x = line.split(' ')
if splitted_x[2] == '0' and i > 0:
capacity = splitted_x[3]
node_type = 'backhaul'
self.backhaul_ids.append(i)
elif i > 0:
capacity = splitted_x[2]
node_type = 'linehaul'
self.linehaul_ids.append(i)
else:
capacity = splitted_x[3]
node_type = 'deposit'
node = Node(i, int(splitted_x[0]), int(splitted_x[1]), int(capacity),
node_type)
return node
class OurDecisionTreeRegressor(object):
def fit(self, X, y, min_leaf=10, max_depth=6):
X.index = range(0, X.shape[0], 1)
y.index = range(0, X.shape[0], 1)
self.endi = X.index.stop
#y_test.index=range(4320, 4320+X_test.shape[0],1)
self.dtree = Node(X,
y,
np.array(np.arange(len(y))),
min_leaf,
max_depth=max_depth,
depth=0)
return self
def predict(self, X):
X.index = range(self.endi, self.endi + X.shape[0], 1)
return self.dtree.predict(X.values)
def __create_root_node(self):
return Node(self.hyper_parameters, self.training_set)
def generate_node_single(content, amr_nodes_content, amr_nodes_acronym):
'''
Generate Node object for single '()'
:param str context:
:param dict amr_nodes_content: content as key
:param dict amr_nodes_acronym: acronym as key
'''
is_named_entity = False
try:
assert content.count('(') == 1 and content.count(')') == 1
except AssertionError:
raise Exception('Unmatched parenthesis')
predict_event = re.search('(\w+)\s/\s(\S+)', content)
if predict_event:
acr = predict_event.group(1) # Acronym
ful = predict_event.group(2).strip(')') # Full name
else:
acr, ful = '-', '-'
# In case of :polarity -
is_polarity = True if re.search(":polarity\s-", content) else False
# :ARG ndoes
arg_nodes = []
nodes = re.findall(':\S+\s\S+', content)
for i in nodes:
i = re.search('(:\S+)\s(\S+)', i)
role = i.group(1)
concept = i.group(2).strip(')')
if role == ':wiki' and is_named_entity:
continue
if role == ':polarity':
continue
if concept in amr_nodes_acronym:
node = copy.copy(amr_nodes_acronym[concept])
node.next_nodes = []
# In case of (d / date-entity :year 2012)
else:
node = Node(name=concept, original_content=concept)
amr_nodes_acronym[concept] = node
node.edge_label = role
arg_nodes.append(node)
# Node is a named entity
names = re.findall(':op\d\s\"\S+\"', content)
if len(names) > 0:
entity_name = ''
for i in names:
entity_name += re.match(':op\d\s\"(\S+)\"', i).group(1) + ' '
entity_name = urllib.parse.unquote_plus(entity_name.strip())
new_node = Node(name=acr,
ful_name=ful,
next_nodes=arg_nodes,
parents=set(),
entity_name=entity_name,
polarity=is_polarity,
content=content,
original_content=content)
amr_nodes_content[content] = new_node
amr_nodes_acronym[acr] = new_node
else:
new_node = Node(name=acr,
ful_name=ful,
next_nodes=arg_nodes,
parents=set(),
polarity=is_polarity,
content=content,
original_content=content)
amr_nodes_content[content] = new_node
amr_nodes_acronym[acr] = new_node
def generate_nodes_multiple(content, amr_nodes_content, amr_nodes_acronym):
'''
Generate Node object for nested '()'
:param str context:
:param dict amr_nodes_content: content as key
:param dict amr_nodes_acronym: acronym as key
'''
try:
assert content.count('(') > 1 and content.count(')') > 1
assert content.count('(') == content.count(')')
except AssertionError:
raise Exception('Unmatched parenthesis')
_content = content
arg_nodes = []
is_named_entity = False
# Remove existing nodes from the content, and link these nodes to the root
# of the subtree
for i in sorted(amr_nodes_content, key=len, reverse=True):
if i in content:
e = content.find(i)
s = content[:e].rfind(':')
role = re.search(':\S+\s', content[s:e]).group() # Edge label
content = content.replace(role+i, '', 1)
amr_nodes_content[i].edge_label = role.strip()
if ':name' in role:
is_named_entity = True
ne = amr_nodes_content[i]
else:
arg_nodes.append(amr_nodes_content[i])
predict_event = re.search('\w+\s/\s\S+', content).group().split(' / ')
if predict_event:
acr = predict_event[0] # Acronym
ful = predict_event[1] # Full name
else:
acr, ful = '-', '-'
# In case of :polarity -
is_polarity = True if re.search(":polarity\s-", content) else False
nodes = re.findall(':\S+\s\S+', content)
for i in nodes:
i = re.search('(:\S+)\s(\S+)', i)
role = i.group(1)
concept = i.group(2).strip(')')
if role == ':wiki' and is_named_entity:
continue
if role == ':polarity':
continue
if concept in amr_nodes_acronym:
node = copy.copy(amr_nodes_acronym[concept])
node.next_nodes = []
# In case of (d / date-entity :year 2012)
else:
node = Node(name=concept)
amr_nodes_acronym[concept] = node
node.edge_label = role
arg_nodes.append(node)
# Named entity is a special node, so the subtree of a
# named entity will be merged. For example,
# (p / person :wiki -
# :name (n / name
# :op1 "Pascale"))
# will be merged as one node.
# According to AMR Specification, "we fill the :instance
# slot from a special list of standard AMR named entity types".
# Thus, for named entity node, we will use entity type
# (p / person in the example above) instead of :instance
if is_named_entity:
# Get Wikipedia title:
if re.match('.+:wiki\s-.*', content):
wikititle = '-' # Entity is NIL, Wiki title does not exist
else:
m = re.search(':wiki\s\"(.+?)\"', content)
if m:
wikititle = urllib.parse.unquote_plus(m.group(1)) # Wiki title
else:
wikititle = '' # There is no Wiki title information
new_node = Node(name=acr, ful_name=ful, next_nodes=arg_nodes,
edge_label=ne.ful_name, is_entity=True,
entity_type=ful, entity_name=ne.entity_name,
wiki=wikititle, polarity=is_polarity, content=content)
amr_nodes_content[_content] = new_node
amr_nodes_acronym[acr] = new_node
elif len(arg_nodes) > 0:
new_node = Node(name=acr, ful_name=ful, next_nodes=arg_nodes,
polarity=is_polarity, content=content)
amr_nodes_content[_content] = new_node
amr_nodes_acronym[acr] = new_node
def node_view():
data = Node.user_list()
return render_template('nodes.html', **data)
def add_node(self, node_key, node_value):
if self._verify_node_exist(node_key):
print("Node already exist in the graph!")
else:
print("Added node {} with value {}!".format(node_key, node_value))
self.__nodes.append(Node(node_key, node_value))
def __init__(self, order=4):
self.root = Node(order)
class BPlusTree(object):
# Inicializamos, por defecto en orden 4
def __init__(self, order=4):
self.root = Node(order)
def _find(self, node, key):
for i, item in enumerate(node.keys):
if key < item:
return node.values[i], i
return node.values[i + 1], i + 1
def _balance(self, parent, child, index):
parent.values.pop(index)
pivot = child.keys[0]
for i, item in enumerate(parent.keys):
if pivot < item:
parent.keys = parent.keys[:i] + [pivot] + parent.keys[i:]
parent.values = parent.values[:i] + child.values + parent.values[i:]
break
elif i + 1 == len(parent.keys):
parent.keys += [pivot]
parent.values += child.values
break
def insert(self, key, value):
parent = None
child = self.root
while not child.leaf:
parent = child
child, index = self._find(child, key)
child.add(key, value)
if child.is_full():
child.split()
if parent and not parent.is_full():
self._balance(parent, child, index)
def search(self, key):
child = self.root
while not child.leaf:
child, index = self._find(child, key)
print("-----------------------")
for i, item in enumerate(child.keys):
print("Pedido ", i , " -> ", child.values[i])
if key == item:
return child.values[i]
print("-----------------------")
print("👇 Recomendado 👇")
print("🌎 Posicion: ")
print("\t\tLongitud:", key.split("$",1)[0])
print("\t\tLatitud:", key.split("$",1)[1])
print("\t\tType: 🚀 URGENTE ")
return child.values[0]
# return None
def show(self):
self.root.show()
def __create_node(self, text) -> Node:
x = [float(num) for num in text.split()]
return Node(x[0], x[1], x[2])
else:
print((" " * (level + 1) * 4) + "Dataset Vazio")
return
string = (" " * level * 4) + names[node.attribute]
print(string)
if node.splitter:
for i in range(len(node.splitter.nodes)):
_node = node.splitter.nodes[i]
attr_value = node.splitter.possible_values[i]
print((" " * level * 4) + attr_value)
print_tree(_node, level + 1)
dataset = DatasetFile("test_benchmark.csv", -1).read()
print(dataset.get_attr_names())
node = Node({"n_attr_sample": 3, "max_depth": 15}, dataset)
example = copy.deepcopy(dataset.get_example_at(0))
# print(node.predict(example))
#
# test_dataset = Dataset([
# Example([0,1,2,3,4], ["Ensolarado","Fria","Alta","Verdadeiro","Nao"]),
# Example([0,1,2,3,4], ["Nublado","Fria","Alta","Falso","Sim"]),
# Example([0,1,2,3,4], ["Chuvoso","Amena","Normal","Falso","Nao"]),
# Example([0,1,2,3,4], ["Chuvoso","Quente","Normal","Verdadeiro","Sim"]),
# Example([0,1,2,3,4], ["Nublado","Fria","Normal","Falso","Sim"]),
# Example([0,1,2,3,4], ["Chuvoso","Amena","Alta","Verdadeiro","Sim"]),
# ])
#
# performance = ModelPerformance(node, test_dataset)
#
# matrix = performance.confusion_matrix
def generate_nodes_multiple(content, amr_nodes_content, amr_nodes_acronym):
'''
Generate Node object for nested '()'
:param str context:
:param dict amr_nodes_content: content as key
:param dict amr_nodes_acronym: acronym as key
'''
try:
assert content.count('(') > 1 and content.count(')') > 1
assert content.count('(') == content.count(')')
except AssertionError:
raise Exception('Unmatched parenthesis')
#note that if we want to get complete content, we need to complete subgraphs in amr_nodes_content, however if we really complete it, the following can't be indexed in amr_nodes_content
_content = content #because content will gradually move its components, so use _content to back up for amr_nodes_content
org = content #original_content difference between above is It don't remove :name
arg_nodes = []
is_named_entity = False
# Remove existing nodes from the content, and link these nodes to the root
# of the subtree
for i in sorted(amr_nodes_content, key=len, reverse=True):
if i in content:
e = content.find(i)
s = content[:e].rfind(':')
role = re.search(':\S+\s', content[s:e]).group() # Edge label
amr_nodes_content[i].edge_label = role.strip()
if ':name' in role:
is_named_entity = True
ne = amr_nodes_content[i]
else:
arg_nodes.append(amr_nodes_content[i])
if ':name' not in role:
org = org.replace(role + i, '', 1)
content = content.replace(role + i, '', 1)
predict_event = re.search('\w+\s/\s\S+', content).group().split(' / ')
if predict_event:
acr = predict_event[0] # Acronym
ful = predict_event[1] # Full name
else:
acr, ful = '-', '-'
# In case of :polarity -
is_polarity = True if re.search(":polarity\s-", content) else False
nodes = re.findall(':\S+\s\S+', content)
for i in nodes:
i = re.search('(:\S+)\s(\S+)', i)
role = i.group(1)
concept = i.group(2).strip("()")
if role == ':wiki' and is_named_entity:
continue
if role in [':polarity', ':quant', ':age', ':value']:
continue
if concept in amr_nodes_acronym:
node = copy.copy(amr_nodes_acronym[concept])
content = content.replace(i.group(0), "")
# In case of (d / date-entity :year 2012)
else:
node = Node(name=concept)
amr_nodes_acronym[concept] = node
# if re.search("\s+"+concept+"[^\d]", content, ):
# content.replace(concept, )
node.edge_label = role
arg_nodes.append(node)
# Named entity is a special node, so the subtree of a
# named entity will be merged. For example,
# (p / person :wiki -
# :name (n / name
# :op1 "Pascale"))
# will be merged as one node.
# According to AMR Specification, "we fill the :instance
# slot from a special list of standard AMR named entity types".
# Thus, for named entity node, we will use entity type
# (p / person in the example above) instead of :instance
if is_named_entity:
# Get Wikipedia title:
if re.match('.+:wiki\s-.*', content):
wikititle = '-' # Entity is NIL, Wiki title does not exist
else:
m = re.search(':wiki\s\"(.+?)\"', content)
if m:
wikititle = urllib.parse.unquote_plus(m.group(1)) # Wiki title
else:
wikititle = '' # There is no Wiki title information
new_node = Node(name=acr,
ful_name=ful,
next_nodes=arg_nodes,
parents=set(),
edge_label=ne.ful_name,
is_entity=True,
entity_type=ful,
entity_name=ne.entity_name,
wiki=wikititle,
polarity=is_polarity,
content=content,
original_content=org)
amr_nodes_content[_content] = new_node
amr_nodes_acronym[acr] = new_node
elif len(arg_nodes) > 0:
new_node = Node(name=acr,
ful_name=ful,
next_nodes=arg_nodes,
parents=set(),
polarity=is_polarity,
content=content,
original_content=_content)
amr_nodes_content[_content] = new_node
amr_nodes_acronym[acr] = new_node
for child in new_node.next_nodes:
child.parents.add(new_node)
def __init__(self, sys_argv):
super(App, self).__init__(sys_argv)
self.model = Model()
# listView = QtGui.QListView()
# listView.show
red = QtGui.QColor(255, 0, 0)
green = QtGui.QColor(0, 255, 0)
blue = QtGui.QColor(0, 0, 255)
rowCount = 4
columnCount = 2
tableData1 = [[QtGui.QColor("#FFFF00") for i in range(columnCount)]
for j in range(rowCount)]
headers = ["Pallet0", "Colors"]
entity = json2obj(
'{"category":"groups","path":"/mnt/x19/mavisdev/projects/geotest/sequence/afg_0025","name":"afg_0025","description":"AFG_0025 sequence","fileImportPath":"","isGlobal":false,"project":"geotest","fields":{"priority":"medium","status":"idle"},"createdBy":"trevor","createdAt":"2016-09-13T20:28:04.745Z","updatedAt":"2017-05-31T21:38:19.935Z","id":"57d861546fef3a0001c87954","type":"sequence","mediaIds":[],"isTest":false}'
)
entity1 = json2obj(
'{"category":"assets","path":"/mnt/x19/mavisdev/projects/geotest/globals/assets/wood_log","name":"wood_log","description":"a log that is wooden","fileImportPath":"","isGlobal":false,"project":"geotest","fields":{"priority":"medium","status":"review","grouping":"char","comp_status":"Ready","prod_status":"HIGH"},"createdBy":"dexplorer","createdAt":"2017-06-12T20:07:21.739Z","updatedAt":"2017-06-12T20:07:21.798Z","id":"593ef47973d9f40001cf898b","type":"assets","mediaIds":[],"isTest":false}'
)
entity2 = json2obj(
'{"category":"assets","path":"/mnt/x19/mavisdev/projects/geotest/sequence/afg_0025/shots/afg_0025_0020/plates/plate_afg-0025__0020","name":"plate_afg-0025__0020","description":"plate asse for afg_0025_0020","latest":"583dc9eebc843d0001905bde","fileImportPath":"/mnt/x1/mavisdev/client_imports/geotest/afg_0025_0020/AFG_0025_0020_bg01_v001_LIN.exr","isGlobal":true,"project":"geotest","fields":{"priority":"low","status":"approved","startFrame":10,"endFrame":100,"pxAspect":1,"colorspace":"linear","fileType":"exr","width":1920,"height":1080,"lut":"","ccc":"","head":8,"tail":8,"handle":8},"createdBy":"trevor","createdAt":"2016-11-29T18:31:59.429Z","updatedAt":"2017-05-23T21:17:43.390Z","id":"583dc99fbc843d0001905bd9","type":"plates","mediaIds":[],"parentId":"57d861546fef3a0001c87960","isTest":false}'
)
entity3 = json2obj(
'{"category":"tasks","path":"/mnt/x19/mavisdev/projects/geotest/globals/assets/wood_log/texture/tex_log","name":"tex_log","description":"texture the wood log","latest":"5941b18073d9f40001cf8a6c","fileImportPath":"","isGlobal":false,"project":"geotest","fields":{"priority":"urgent","status":"revised","grouping":"mtpg","comp_status":"In-Progress","prod_status":"HIGH"},"createdBy":"dexplorer","createdAt":"2017-06-12T20:08:10.814Z","updatedAt":"2017-06-14T21:58:24.772Z","id":"593ef4aa73d9f40001cf8992","type":"texture","mediaIds":[],"isTest":false}'
)
entity4 = json2obj(
'{"category":"tasks","path":"/mnt/x19/mavisdev/projects/geotest/sequence/mdm_0202/shots/mdm_0202_0100/assets/tuktuka/model/tuktuk_model","name":"tuktuk_model","description":"published plate 6310","latest":"58c6ffe6e925cc00016a6b58","fileImportPath":"","isGlobal":false,"project":"geotest","fields":{"priority":"high","status":"revised","grouping":"vehi","comp_status":"Waiting","prod_status":"MEDIUM"},"createdBy":"trevor","createdAt":"2017-04-13T22:08:33.983Z","updatedAt":"2017-04-18T20:35:28.557Z","id":"589b4f9dc599d10001375de9","type":"model","mediaIds":[],"parentId":"589b4f10c599d10001375de2","isTest":false}'
)
rootNode = Node('Hips')
childNode0 = TransformNode('LeftPirateleg', entity, rootNode)
childNode1 = Node('RightLeg', entity1, rootNode)
childNode2 = Node('RightFoot', entity2, childNode1)
childNode3 = CameraNode('Xxxree', entity3, rootNode)
childNode4 = LightNode('kldjskfds', entity4, childNode1)
tree = TreeModel(rootNode)
model2 = PaletteTableModel(tableData1, headers)
self.main_ctrl = MainController(self.model)
self.main_view = MainView(model=self.model, main_ctrl=self.main_ctrl)
self.main_view.test(model2, tree=tree)
self.main_view.show()
# model2.insertRows(0, 5)
# model2.insertColumns(0, 5)
model2.removeColumns(1, 1)
# tree.insertRows(0, 1)
#
#
# self.threadClass = ThreadClass()
# self.connect(self.threadClass, QtCore.SIGNAL('CPU_VALUE'), self.done)
# self.threadClass.start()
self.manager = QtNetwork.QNetworkAccessManager()
self.manager.finished.connect(self.reply_finished)
print(
QtNetwork.QNetworkSession(QtNetwork.QNetworkConfigurationManager().
defaultConfiguration()).State())
self.request = QtNetwork.QNetworkRequest(
QtCore.QUrl(
'http://www.planwallpaper.com/static/images/1080p-HD-Wallpapers-9.jpg'
))
print("Sending request")
self.manager.get(self.request)
self.manager2 = QtNetwork.QNetworkAccessManager()
self.manager2.finished.connect(self.reply_finished)
print(
QtNetwork.QNetworkSession(QtNetwork.QNetworkConfigurationManager().
defaultConfiguration()).State())
self.request = QtNetwork.QNetworkRequest(
QtCore.QUrl('http://lorempixel.com/1800/1400/city/'))
print("Sending request")
self.manager2.get(self.request)
self.manager2 = QtNetwork.QNetworkAccessManager()
self.manager2.finished.connect(self.reply_finished)
print(
QtNetwork.QNetworkSession(QtNetwork.QNetworkConfigurationManager().
defaultConfiguration()).State())
self.request = QtNetwork.QNetworkRequest(
QtCore.QUrl('http://lorempixel.com/1800/1400/city/'))
print("Sending request")
self.manager2.get(self.request)
self.manager3 = QtNetwork.QNetworkAccessManager()
self.manager3.finished.connect(self.reply_finished)
print(
QtNetwork.QNetworkSession(QtNetwork.QNetworkConfigurationManager().
defaultConfiguration()).State())
self.request = QtNetwork.QNetworkRequest(
QtCore.QUrl('http://lorempixel.com/1800/1400/city/'))
print("Sending request")
self.manager3.get(self.request)