def __init__(self, nodeType, position=None, parent=None, **kwargs):
"""
Create a new Node instance based on the given node description.
Any other keyword argument will be used to initialize this node's attributes.
Args:
nodeDesc (desc.Node): the node description for this node
parent (BaseObject): this Node's parent
**kwargs: attributes values
"""
super(BaseNode, self).__init__(parent)
self._nodeType = nodeType
self.nodeDesc = None
# instantiate node description if nodeType is valid
if nodeType in meshroom.core.nodesDesc:
self.nodeDesc = meshroom.core.nodesDesc[nodeType]()
self.packageName = self.packageVersion = ""
self._internalFolder = ""
self._name = None
self.graph = None
self.dirty = True # whether this node's outputs must be re-evaluated on next Graph update
self._chunks = ListModel(parent=self)
self._uids = dict()
self._cmdVars = {}
self._size = 0
self._position = position or Position()
self._attributes = DictModel(keyAttrName='name', parent=self)
self.attributesPerUid = defaultdict(set)
self._alive = True # for QML side to know if the node can be used or is going to be deleted
def __init__(self, parent=None):
super(TaskManager, self).__init__(parent)
self._graph = None
self._nodes = DictModel(keyAttrName='_name', parent=self)
self._nodesToProcess = []
self._nodesExtern = []
# internal thread in which local tasks are executed
self._thread = TaskThread(self)
self._blockRestart = False
self.restartRequested.connect(self.restart)
def __init__(self, node, attributeDesc, isOutput, root=None, parent=None):
super(GroupAttribute, self).__init__(node, attributeDesc, isOutput, root, parent)
self._value = DictModel(keyAttrName='name', parent=self)
subAttributes = []
for subAttrDesc in self.attributeDesc.groupDesc:
childAttr = attributeFactory(subAttrDesc, None, self.isOutput, self.node, self)
subAttributes.append(childAttr)
childAttr.valueChanged.connect(self.valueChanged)
self._value.reset(subAttributes)
def __init__(self, name, parent=None):
super(Graph, self).__init__(parent)
self.name = name
self._updateEnabled = True
self._updateRequested = False
self.dirtyTopology = False
self._nodesMinMaxDepths = {}
self._computationBlocked = {}
self._canComputeLeaves = True
self._nodes = DictModel(keyAttrName='name', parent=self)
self._edges = DictModel(keyAttrName='dst', parent=self) # use dst attribute as unique key since it can only have one input connection
self._compatibilityNodes = DictModel(keyAttrName='name', parent=self)
self.cacheDir = meshroom.core.defaultCacheFolder
self._filepath = ''
self.header = {}
class GroupAttribute(Attribute):
def __init__(self, node, attributeDesc, isOutput, root=None, parent=None):
super(GroupAttribute, self).__init__(node, attributeDesc, isOutput,
root, parent)
self._value = DictModel(keyAttrName='name', parent=self)
subAttributes = []
for subAttrDesc in self.attributeDesc.groupDesc:
childAttr = attributeFactory(subAttrDesc, None, self.isOutput,
self.node, self)
subAttributes.append(childAttr)
childAttr.valueChanged.connect(self.valueChanged)
self._value.reset(subAttributes)
def __getattr__(self, key):
try:
return super(GroupAttribute, self).__getattr__(key)
except AttributeError:
try:
return self._value.get(key)
except KeyError:
raise AttributeError(key)
def _set_value(self, exportedValue):
value = self.desc.validateValue(exportedValue)
if isinstance(value, dict):
# set individual child attribute values
for key, v in value.items():
self._value.get(key).value = v
elif isinstance(value, (list, tuple)):
for attrDesc, v in zip(self.desc._groupDesc, value):
self._value.get(attrDesc.name).value = v
else:
raise AttributeError("Failed to set on GroupAttribute: {}".format(
str(value)))
@Slot(str, result=Attribute)
def childAttribute(self, key):
"""
Get child attribute by name or None if none was found.
Args:
key (str): the name of the child attribute
Returns:
Attribute: the child attribute or None
"""
try:
return self._value.get(key)
except KeyError:
return None
def uid(self, uidIndex):
uids = []
for k, v in self._value.items():
if v.enabled and uidIndex in v.desc.uid:
uids.append(v.uid(uidIndex))
return hashValue(uids)
def _applyExpr(self):
for value in self._value:
value._applyExpr()
def getExportValue(self):
return {
key: attr.getExportValue()
for key, attr in self._value.objects.items()
}
def _isDefault(self):
return all(v.isDefault for v in self._value)
def defaultValue(self):
return {key: attr.defaultValue() for key, attr in self._value.items()}
def getPrimitiveValue(self, exportDefault=True):
if exportDefault:
return {
name: attr.getPrimitiveValue(exportDefault=exportDefault)
for name, attr in self._value.items()
}
else:
return {
name: attr.getPrimitiveValue(exportDefault=exportDefault)
for name, attr in self._value.items() if not attr.isDefault
}
def getValueStr(self):
# sort values based on child attributes group description order
sortedSubValues = [
self._value.get(attr.name).getValueStr()
for attr in self.attributeDesc.groupDesc
]
return self.attributeDesc.joinChar.join(sortedSubValues)
def updateInternals(self):
super(GroupAttribute, self).updateInternals()
for attr in self._value:
attr.updateInternals()
# Override value property
value = Property(Variant,
Attribute._get_value,
_set_value,
notify=Attribute.valueChanged)
isDefault = Property(bool, _isDefault, notify=Attribute.valueChanged)
class Graph(BaseObject):
"""
_________________ _________________ _________________
| | | | | |
| Node A | | Node B | | Node C |
| | edge | | edge | |
|input output|>---->|input output|>---->|input output|
|_______________| |_______________| |_______________|
Data structures:
nodes = {'A': <nodeA>, 'B': <nodeB>, 'C': <nodeC>}
edges = {B.input: A.output, C.input: B.output,}
"""
_cacheDir = ""
class IO(object):
""" Centralize Graph file keys and IO version. """
__version__ = "1.1"
class Keys(object):
""" File Keys. """
# Doesn't inherit enum to simplify usage (Graph.IO.Keys.XX, without .value)
Header = "header"
NodesVersions = "nodesVersions"
ReleaseVersion = "releaseVersion"
FileVersion = "fileVersion"
Graph = "graph"
class Features(Enum):
""" File Features. """
Graph = "graph"
Header = "header"
NodesVersions = "nodesVersions"
PrecomputedOutputs = "precomputedOutputs"
NodesPositions = "nodesPositions"
@staticmethod
def getFeaturesForVersion(fileVersion):
""" Return the list of supported features based on a file version.
Args:
fileVersion (str, Version): the file version
Returns:
tuple of Graph.IO.Features: the list of supported features
"""
if isinstance(fileVersion, pyCompatibility.basestring):
fileVersion = Version(fileVersion)
features = [Graph.IO.Features.Graph]
if fileVersion >= Version("1.0"):
features += [Graph.IO.Features.Header,
Graph.IO.Features.NodesVersions,
Graph.IO.Features.PrecomputedOutputs,
]
if fileVersion >= Version("1.1"):
features += [Graph.IO.Features.NodesPositions]
return tuple(features)
def __init__(self, name, parent=None):
super(Graph, self).__init__(parent)
self.name = name
self._updateEnabled = True
self._updateRequested = False
self.dirtyTopology = False
self._nodesMinMaxDepths = {}
self._computationBlocked = {}
self._canComputeLeaves = True
self._nodes = DictModel(keyAttrName='name', parent=self)
self._edges = DictModel(keyAttrName='dst', parent=self) # use dst attribute as unique key since it can only have one input connection
self._compatibilityNodes = DictModel(keyAttrName='name', parent=self)
self.cacheDir = meshroom.core.defaultCacheFolder
self._filepath = ''
self.header = {}
def clear(self):
self.header.clear()
self._compatibilityNodes.clear()
self._edges.clear()
# Tell QML nodes are going to be deleted
for node in self._nodes:
node.alive = False
self._nodes.clear()
@property
def fileFeatures(self):
""" Get loaded file supported features based on its version. """
if not self._filepath:
return []
return Graph.IO.getFeaturesForVersion(self.header.get(Graph.IO.Keys.FileVersion, "0.0"))
@Slot(str)
def load(self, filepath, setupProjectFile=True):
"""
Load a meshroom graph ".mg" file.
Args:
filepath: project filepath to load
setupProjectFile: Store the reference to the project file and setup the cache directory.
If false, it only loads the graph of the project file as a template.
"""
self.clear()
with open(filepath) as jsonFile:
fileData = json.load(jsonFile)
# older versions of Meshroom files only contained the serialized nodes
graphData = fileData.get(Graph.IO.Keys.Graph, fileData)
if not isinstance(graphData, dict):
raise RuntimeError('loadGraph error: Graph is not a dict. File: {}'.format(filepath))
self.header = fileData.get(Graph.IO.Keys.Header, {})
nodesVersions = self.header.get(Graph.IO.Keys.NodesVersions, {})
with GraphModification(self):
# iterate over nodes sorted by suffix index in their names
for nodeName, nodeData in sorted(graphData.items(), key=lambda x: self.getNodeIndexFromName(x[0])):
if not isinstance(nodeData, dict):
raise RuntimeError('loadGraph error: Node is not a dict. File: {}'.format(filepath))
# retrieve version from
# 1. nodeData: node saved from a CompatibilityNode
# 2. nodesVersion in file header: node saved from a Node
# 3. fallback to no version "0.0": retro-compatibility
if "version" not in nodeData:
nodeData["version"] = nodesVersions.get(nodeData["nodeType"], "0.0")
n = nodeFactory(nodeData, nodeName)
# Add node to the graph with raw attributes values
self._addNode(n, nodeName)
# Create graph edges by resolving attributes expressions
self._applyExpr()
if setupProjectFile:
# Update filepath related members
# Note: needs to be done at the end as it will trigger an updateInternals.
self._setFilepath(filepath)
return True
@property
def updateEnabled(self):
return self._updateEnabled
@updateEnabled.setter
def updateEnabled(self, enabled):
self._updateEnabled = enabled
if enabled and self._updateRequested:
# Trigger an update if requested while disabled
self.update()
self._updateRequested = False
@changeTopology
def _addNode(self, node, uniqueName):
"""
Internal method to add the given node to this Graph, with the given name (must be unique).
Attribute expressions are not resolved.
"""
if node.graph is not None and node.graph != self:
raise RuntimeError(
'Node "{}" cannot be part of the Graph "{}", as it is already part of the other graph "{}".'.format(
node.nodeType, self.name, node.graph.name))
assert uniqueName not in self._nodes.keys()
node._name = uniqueName
node.graph = self
self._nodes.add(node)
def addNode(self, node, uniqueName=None):
"""
Add the given node to this Graph with an optional unique name,
and resolve attributes expressions.
"""
self._addNode(node, uniqueName if uniqueName else self._createUniqueNodeName(node.nodeType))
# Resolve attribute expressions
with GraphModification(self):
node._applyExpr()
return node
def copyNode(self, srcNode, withEdges=False):
"""
Get a copy instance of a node outside the graph.
Args:
srcNode (Node): the node to copy
withEdges (bool): whether to copy edges
Returns:
Node, dict: the created node instance,
a dictionary of linked attributes with their original value (empty if withEdges is True)
"""
with GraphModification(self):
# create a new node of the same type and with the same attributes values
# keep links as-is so that CompatibilityNodes attributes can be created with correct automatic description
# (File params for link expressions)
node = nodeFactory(srcNode.toDict(), srcNode.nodeType) # use nodeType as name
# skip edges: filter out attributes which are links by resetting default values
skippedEdges = {}
if not withEdges:
for n, attr in node.attributes.items():
# find top-level links
if Attribute.isLinkExpression(attr.value):
skippedEdges[attr] = attr.value
attr.resetValue()
# find links in ListAttribute children
elif isinstance(attr, ListAttribute):
for child in attr.value:
if Attribute.isLinkExpression(child.value):
skippedEdges[child] = child.value
child.resetValue()
return node, skippedEdges
def duplicateNode(self, srcNode):
""" Duplicate a node in the graph with its connections.
Args:
srcNode: the node to duplicate
Returns:
Node: the created node
"""
node, edges = self.copyNode(srcNode, withEdges=True)
return self.addNode(node)
def duplicateNodesFromNode(self, fromNode):
"""
Duplicate 'fromNode' and all the following nodes towards graph's leaves.
Args:
fromNode (Node): the node to start the duplication from
Returns:
OrderedDict[Node, Node]: the source->duplicate map
"""
srcNodes, srcEdges = self.nodesFromNode(fromNode)
# use OrderedDict to keep duplicated nodes creation order
duplicates = OrderedDict()
with GraphModification(self):
duplicateEdges = {}
# first, duplicate all nodes without edges and keep a 'source=>duplicate' map
# keeps tracks of non-created edges for later remap
for srcNode in srcNodes:
node, edges = self.copyNode(srcNode, withEdges=False)
duplicate = self.addNode(node)
duplicateEdges.update(edges)
duplicates[srcNode] = duplicate # original node to duplicate map
# re-create edges taking into account what has been duplicated
for attr, linkExpression in duplicateEdges.items():
link = linkExpression[1:-1] # remove starting '{' and trailing '}'
# get source node and attribute name
edgeSrcNodeName, edgeSrcAttrName = link.split(".", 1)
edgeSrcNode = self.node(edgeSrcNodeName)
# if the edge's source node has been duplicated, use the duplicate; otherwise use the original node
edgeSrcNode = duplicates.get(edgeSrcNode, edgeSrcNode)
self.addEdge(edgeSrcNode.attribute(edgeSrcAttrName), attr)
return duplicates
def outEdges(self, attribute):
""" Return the list of edges starting from the given attribute """
# type: (Attribute,) -> [Edge]
return [edge for edge in self.edges if edge.src == attribute]
def nodeInEdges(self, node):
# type: (Node) -> [Edge]
""" Return the list of edges arriving to this node """
return [edge for edge in self.edges if edge.dst.node == node]
def nodeOutEdges(self, node):
# type: (Node) -> [Edge]
""" Return the list of edges starting from this node """
return [edge for edge in self.edges if edge.src.node == node]
@changeTopology
def removeNode(self, nodeName):
"""
Remove the node identified by 'nodeName' from the graph
and return in and out edges removed by this operation in two dicts {dstAttr.getFullName(), srcAttr.getFullName()}
"""
node = self.node(nodeName)
inEdges = {}
outEdges = {}
# Remove all edges arriving to and starting from this node
with GraphModification(self):
for edge in self.nodeOutEdges(node):
self.removeEdge(edge.dst)
outEdges[edge.dst.getFullName()] = edge.src.getFullName()
for edge in self.nodeInEdges(node):
self.removeEdge(edge.dst)
inEdges[edge.dst.getFullName()] = edge.src.getFullName()
node.alive = False
self._nodes.remove(node)
self.update()
return inEdges, outEdges
def addNewNode(self, nodeType, name=None, position=None, **kwargs):
"""
Create and add a new node to the graph.
Args:
nodeType (str): the node type name.
name (str): if specified, the desired name for this node. If not unique, will be prefixed (_N).
position (Position): (optional) the position of the node
**kwargs: keyword arguments to initialize node's attributes
Returns:
The newly created node.
"""
if name and name in self._nodes.keys():
name = self._createUniqueNodeName(name)
n = self.addNode(Node(nodeType, position=position, **kwargs), uniqueName=name)
n.updateInternals()
return n
def _createUniqueNodeName(self, inputName):
i = 1
while i:
newName = "{name}_{index}".format(name=inputName, index=i)
if newName not in self._nodes.objects:
return newName
i += 1
def node(self, nodeName):
return self._nodes.get(nodeName)
def upgradeNode(self, nodeName):
"""
Upgrade the CompatibilityNode identified as 'nodeName'
Args:
nodeName (str): the name of the CompatibilityNode to upgrade
Returns:
the list of deleted input/output edges
"""
node = self.node(nodeName)
if not isinstance(node, CompatibilityNode):
raise ValueError("Upgrade is only available on CompatibilityNode instances.")
upgradedNode = node.upgrade()
with GraphModification(self):
inEdges, outEdges = self.removeNode(nodeName)
self.addNode(upgradedNode, nodeName)
for dst, src in outEdges.items():
try:
self.addEdge(self.attribute(src), self.attribute(dst))
except (KeyError, ValueError) as e:
logging.warning("Failed to restore edge {} -> {}: {}".format(src, dst, str(e)))
return upgradedNode, inEdges, outEdges
def upgradeAllNodes(self):
""" Upgrade all upgradable CompatibilityNode instances in the graph. """
nodeNames = [name for name, n in self._compatibilityNodes.items() if n.canUpgrade]
with GraphModification(self):
for nodeName in nodeNames:
self.upgradeNode(nodeName)
@Slot(str, result=Attribute)
def attribute(self, fullName):
# type: (str) -> Attribute
"""
Return the attribute identified by the unique name 'fullName'.
"""
node, attribute = fullName.split('.', 1)
return self.node(node).attribute(attribute)
@staticmethod
def getNodeIndexFromName(name):
""" Nodes are created with a suffix index; returns this index by parsing node name.
Args:
name (str): the node name
Returns:
int: the index retrieved from node name (-1 if not found)
"""
try:
return int(name.split('_')[-1])
except:
return -1
@staticmethod
def sortNodesByIndex(nodes):
"""
Sort the given list of Nodes using the suffix index in their names.
[NodeName_1, NodeName_0] => [NodeName_0, NodeName_1]
Args:
nodes (list[Node]): the list of Nodes to sort
Returns:
list[Node]: the sorted list of Nodes based on their index
"""
return sorted(nodes, key=lambda x: Graph.getNodeIndexFromName(x.name))
def nodesByType(self, nodeType, sortedByIndex=True):
"""
Returns all Nodes of the given nodeType.
Args:
nodeType (str): the node type name to consider.
sortedByIndex (bool): whether to sort the nodes by their index (see Graph.sortNodesByIndex)
Returns:
list[Node]: the list of nodes matching the given nodeType.
"""
nodes = [n for n in self._nodes.values() if n.nodeType == nodeType]
return self.sortNodesByIndex(nodes) if sortedByIndex else nodes
def findNodeCandidates(self, nodeNameExpr):
pattern = re.compile(nodeNameExpr)
return [v for k, v in self._nodes.objects.items() if pattern.match(k)]
def findNode(self, nodeExpr):
candidates = self.findNodeCandidates('^' + nodeExpr)
if not candidates:
raise KeyError('No node candidate for "{}"'.format(nodeExpr))
if len(candidates) > 1:
raise KeyError('Multiple node candidates for "{}": {}'.format(nodeExpr, str([c.name for c in candidates])))
return candidates[0]
def findNodes(self, nodesExpr):
return [self.findNode(nodeName) for nodeName in nodesExpr]
def edge(self, dstAttributeName):
return self._edges.get(dstAttributeName)
def getLeaves(self):
nodesWithOutput = set([edge.src.node for edge in self.edges])
return set(self._nodes) - nodesWithOutput
@changeTopology
def addEdge(self, srcAttr, dstAttr):
assert isinstance(srcAttr, Attribute)
assert isinstance(dstAttr, Attribute)
if srcAttr.node.graph != self or dstAttr.node.graph != self:
raise RuntimeError('The attributes of the edge should be part of a common graph.')
if dstAttr in self.edges.keys():
raise RuntimeError('Destination attribute "{}" is already connected.'.format(dstAttr.getFullName()))
edge = Edge(srcAttr, dstAttr)
self.edges.add(edge)
self.markNodesDirty(dstAttr.node)
dstAttr.valueChanged.emit()
dstAttr.isLinkChanged.emit()
return edge
def addEdges(self, *edges):
with GraphModification(self):
for edge in edges:
self.addEdge(*edge)
@changeTopology
def removeEdge(self, dstAttr):
if dstAttr not in self.edges.keys():
raise RuntimeError('Attribute "{}" is not connected'.format(dstAttr.getFullName()))
self.edges.pop(dstAttr)
self.markNodesDirty(dstAttr.node)
dstAttr.valueChanged.emit()
dstAttr.isLinkChanged.emit()
def getDepth(self, node, minimal=False):
""" Return node's depth in this Graph.
By default, returns the maximal depth of the node unless minimal is set to True.
Args:
node (Node): the node to consider.
minimal (bool): whether to return the minimal depth instead of the maximal one (default).
Returns:
int: the node's depth in this Graph.
"""
assert node.graph == self
assert not self.dirtyTopology
minDepth, maxDepth = self._nodesMinMaxDepths[node]
return minDepth if minimal else maxDepth
def getInputEdges(self, node):
return set([edge for edge in self.edges if edge.dst.node is node])
def _getInputEdgesPerNode(self):
nodeEdges = defaultdict(set)
for edge in self.edges:
nodeEdges[edge.dst.node].add(edge.src.node)
return nodeEdges
def _getOutputEdgesPerNode(self):
nodeEdges = defaultdict(set)
for edge in self.edges:
nodeEdges[edge.src.node].add(edge.dst.node)
return nodeEdges
def dfs(self, visitor, startNodes=None, longestPathFirst=False, reverse=False):
# Default direction: from node to root
# Reverse direction: from node to leaves
nodeChildren = self._getOutputEdgesPerNode() if reverse else self._getInputEdgesPerNode()
# Initialize color map
colors = {}
for u in self._nodes:
colors[u] = WHITE
nodes = startNodes or self.getLeaves()
if longestPathFirst:
# Graph topology must be known and node depths up-to-date
assert not self.dirtyTopology
nodes = sorted(nodes, key=lambda item: item.depth)
try:
for node in nodes:
self.dfsVisit(node, visitor, colors, nodeChildren, longestPathFirst)
except StopGraphVisit:
pass
def dfsVisit(self, u, visitor, colors, nodeChildren, longestPathFirst):
try:
self._dfsVisit(u, visitor, colors, nodeChildren, longestPathFirst)
except StopBranchVisit:
pass
def _dfsVisit(self, u, visitor, colors, nodeChildren, longestPathFirst):
colors[u] = GRAY
visitor.discoverVertex(u, self)
# d_time[u] = time = time + 1
children = nodeChildren[u]
if longestPathFirst:
assert not self.dirtyTopology
children = sorted(children, reverse=True, key=lambda item: self._nodesMinMaxDepths[item][1])
for v in children:
visitor.examineEdge((u, v), self)
if colors[v] == WHITE:
visitor.treeEdge((u, v), self)
# (u,v) is a tree edge
self.dfsVisit(v, visitor, colors, nodeChildren, longestPathFirst) # TODO: avoid recursion
elif colors[v] == GRAY:
# (u,v) is a back edge
visitor.backEdge((u, v), self)
elif colors[v] == BLACK:
# (u,v) is a cross or forward edge
visitor.forwardOrCrossEdge((u, v), self)
visitor.finishEdge((u, v), self)
colors[u] = BLACK
visitor.finishVertex(u, self)
def dfsOnFinish(self, startNodes=None):
"""
:param startNodes: list of starting nodes. Use all leaves if empty.
:return: visited nodes and edges. The order is defined by the visit and finishVertex event.
"""
nodes = []
edges = []
visitor = Visitor()
visitor.finishVertex = lambda vertex, graph: nodes.append(vertex)
visitor.finishEdge = lambda edge, graph: edges.append(edge)
self.dfs(visitor=visitor, startNodes=startNodes)
return nodes, edges
def dfsToProcess(self, startNodes=None):
"""
Return the full list of predecessor nodes to process in order to compute the given nodes.
Args:
startNodes: list of starting nodes. Use all leaves if empty.
Returns:
visited nodes and edges that are not already computed (node.status != SUCCESS).
The order is defined by the visit and finishVertex event.
"""
nodes = []
edges = []
visitor = Visitor()
def discoverVertex(vertex, graph):
if vertex.hasStatus(Status.SUCCESS):
# stop branch visit if discovering a node already computed
raise StopBranchVisit()
if self._computationBlocked[vertex]:
raise RuntimeError("Can't compute node '{}'".format(vertex.name))
def finishVertex(vertex, graph):
chunksToProcess = []
for chunk in vertex.chunks:
if chunk.status.status is Status.SUBMITTED:
logging.warning('Node "{}" is already submitted.'.format(chunk.name))
if chunk.status.status is Status.RUNNING:
logging.warning('Node "{}" is already running.'.format(chunk.name))
if chunk.status.status is not Status.SUCCESS:
chunksToProcess.append(chunk)
if chunksToProcess:
nodes.append(vertex) # We could collect specific chunks
def finishEdge(edge, graph):
if edge[0].hasStatus(Status.SUCCESS) or edge[1].hasStatus(Status.SUCCESS):
return
edges.append(edge)
visitor.finishVertex = finishVertex
visitor.finishEdge = finishEdge
visitor.discoverVertex = discoverVertex
self.dfs(visitor=visitor, startNodes=startNodes)
return nodes, edges
@Slot(Node, result=bool)
def canCompute(self, node):
"""
Return the computability of a node based on itself and its dependency chain.
Computation can't happen for:
- CompatibilityNodes
- nodes having a non-computed CompatibilityNode in its dependency chain
Args:
node (Node): the node to evaluate
Returns:
bool: whether the node can be computed
"""
if isinstance(node, CompatibilityNode):
return False
return not self._computationBlocked[node]
def updateNodesTopologicalData(self):
"""
Compute and cache nodes topological data:
- min and max depth
- computability
"""
self._nodesMinMaxDepths.clear()
self._computationBlocked.clear()
compatNodes = []
visitor = Visitor()
def discoverVertex(vertex, graph):
# initialize depths
self._nodesMinMaxDepths[vertex] = (0, 0)
# initialize computability
self._computationBlocked[vertex] = False
if isinstance(vertex, CompatibilityNode):
compatNodes.append(vertex)
# a not computed CompatibilityNode blocks computation
if not vertex.hasStatus(Status.SUCCESS):
self._computationBlocked[vertex] = True
def finishEdge(edge, graph):
currentVertex, inputVertex = edge
# update depths
currentDepths = self._nodesMinMaxDepths[currentVertex]
inputDepths = self._nodesMinMaxDepths[inputVertex]
if currentDepths[0] == 0:
# if not initialized, set the depth of the first child
depthMin = inputDepths[0] + 1
else:
depthMin = min(currentDepths[0], inputDepths[0] + 1)
self._nodesMinMaxDepths[currentVertex] = (depthMin, max(currentDepths[1], inputDepths[1] + 1))
# update computability
if currentVertex.hasStatus(Status.SUCCESS):
# output is already computed and available,
# does not depend on input connections computability
return
# propagate inputVertex computability
self._computationBlocked[currentVertex] |= self._computationBlocked[inputVertex]
leaves = self.getLeaves()
visitor.finishEdge = finishEdge
visitor.discoverVertex = discoverVertex
self.dfs(visitor=visitor, startNodes=leaves)
# update graph computability status
canComputeLeaves = all([self.canCompute(node) for node in leaves])
if self._canComputeLeaves != canComputeLeaves:
self._canComputeLeaves = canComputeLeaves
self.canComputeLeavesChanged.emit()
# update compatibilityNodes model
if len(self._compatibilityNodes) != len(compatNodes):
self._compatibilityNodes.reset(compatNodes)
compatibilityNodes = Property(BaseObject, lambda self: self._compatibilityNodes, constant=True)
def dfsMaxEdgeLength(self, startNodes=None):
"""
:param startNodes: list of starting nodes. Use all leaves if empty.
:return:
"""
nodesStack = []
edgesScore = defaultdict(lambda: 0)
visitor = Visitor()
def finishEdge(edge, graph):
u, v = edge
for i, n in enumerate(reversed(nodesStack)):
index = i + 1
if index > edgesScore[(n, v)]:
edgesScore[(n, v)] = index
def finishVertex(vertex, graph):
v = nodesStack.pop()
assert v == vertex
visitor.discoverVertex = lambda vertex, graph: nodesStack.append(vertex)
visitor.finishVertex = finishVertex
visitor.finishEdge = finishEdge
self.dfs(visitor=visitor, startNodes=startNodes, longestPathFirst=True)
return edgesScore
def flowEdges(self, startNodes=None):
"""
Return as few edges as possible, such that if there is a directed path from one vertex to another in the
original graph, there is also such a path in the reduction.
:param startNodes:
:return: the remaining edges after a transitive reduction of the graph.
"""
flowEdges = []
edgesScore = self.dfsMaxEdgeLength(startNodes)
for link, score in edgesScore.items():
assert score != 0
if score == 1:
flowEdges.append(link)
return flowEdges
def nodesFromNode(self, startNode, filterTypes=None):
"""
Return the node chain from startNode to the graph leaves.
Args:
startNode (Node): the node to start the visit from.
filterTypes (str list): (optional) only return the nodes of the given types
(does not stop the visit, this is a post-process only)
Returns:
The list of nodes and edges, from startNode to the graph leaves following edges.
"""
nodes = []
edges = []
visitor = Visitor()
def discoverVertex(vertex, graph):
if not filterTypes or vertex.nodeType in filterTypes:
nodes.append(vertex)
visitor.discoverVertex = discoverVertex
visitor.examineEdge = lambda edge, graph: edges.append(edge)
self.dfs(visitor=visitor, startNodes=[startNode], reverse=True)
return nodes, edges
def _applyExpr(self):
with GraphModification(self):
for node in self._nodes:
node._applyExpr()
def toDict(self):
return {k: node.toDict() for k, node in self._nodes.objects.items()}
@Slot(result=str)
def asString(self):
return str(self.toDict())
def save(self, filepath=None, setupProjectFile=True):
path = filepath or self._filepath
if not path:
raise ValueError("filepath must be specified for unsaved files.")
self.header[Graph.IO.Keys.ReleaseVersion] = meshroom.__version__
self.header[Graph.IO.Keys.FileVersion] = Graph.IO.__version__
# store versions of node types present in the graph (excluding CompatibilityNode instances)
usedNodeTypes = set([n.nodeDesc.__class__ for n in self._nodes if isinstance(n, Node)])
self.header[Graph.IO.Keys.NodesVersions] = {
"{}".format(p.__name__): meshroom.core.nodeVersion(p, "0.0")
for p in usedNodeTypes
}
data = {
Graph.IO.Keys.Header: self.header,
Graph.IO.Keys.Graph: self.toDict()
}
with open(path, 'w') as jsonFile:
json.dump(data, jsonFile, indent=4)
if path != self._filepath and setupProjectFile:
self._setFilepath(path)
def _setFilepath(self, filepath):
"""
Set the internal filepath of this Graph.
This method should not be used directly from outside, use save/load instead.
Args:
filepath: the graph file path
"""
if not os.path.isfile(filepath):
self._unsetFilepath()
return
if self._filepath == filepath:
return
self._filepath = filepath
# For now:
# * cache folder is located next to the graph file
# * graph name if the basename of the graph file
self.name = os.path.splitext(os.path.basename(filepath))[0]
self.cacheDir = os.path.join(os.path.abspath(os.path.dirname(filepath)), meshroom.core.cacheFolderName)
self.filepathChanged.emit()
def _unsetFilepath(self):
self._filepath = ""
self.name = ""
self.cacheDir = meshroom.core.defaultCacheFolder
self.filepathChanged.emit()
def updateInternals(self, startNodes=None, force=False):
nodes, edges = self.dfsOnFinish(startNodes=startNodes)
for node in nodes:
if node.dirty or force:
node.updateInternals()
def updateStatusFromCache(self, force=False):
for node in self._nodes:
if node.dirty or force:
node.updateStatusFromCache()
def updateStatisticsFromCache(self):
for node in self._nodes:
node.updateStatisticsFromCache()
def update(self):
if not self._updateEnabled:
# To do the update once for multiple changes
self._updateRequested = True
return
self.updateInternals()
if os.path.exists(self._cacheDir):
self.updateStatusFromCache()
for node in self.nodes:
node.dirty = False
# Graph topology has changed
if self.dirtyTopology:
# update nodes topological data cache
self.updateNodesTopologicalData()
self.dirtyTopology = False
self.updated.emit()
def markNodesDirty(self, fromNode):
"""
Mark all nodes following 'fromNode' as dirty, and request a graph update.
All nodes marked as dirty will get their outputs to be re-evaluated
during the next graph update.
Args:
fromNode (Node): the node to start the invalidation from
See Also:
Graph.update, Graph.updateInternals, Graph.updateStatusFromCache
"""
nodes, edges = self.nodesFromNode(fromNode)
for node in nodes:
node.dirty = True
self.update()
def stopExecution(self):
""" Request graph execution to be stopped by terminating running chunks"""
for chunk in self.iterChunksByStatus(Status.RUNNING):
chunk.stopProcess()
@Slot()
def clearSubmittedNodes(self):
""" Reset the status of already submitted nodes to Status.NONE """
for node in self.nodes:
node.clearSubmittedChunks()
@Slot(Node)
def clearDataFrom(self, startNode):
for node in self.nodesFromNode(startNode)[0]:
node.clearData()
def iterChunksByStatus(self, status):
""" Iterate over NodeChunks with the given status """
for node in self.nodes:
for chunk in node.chunks:
if chunk.status.status == status:
yield chunk
def getChunksByStatus(self, status):
""" Return the list of NodeChunks with the given status """
chunks = []
for node in self.nodes:
chunks += [chunk for chunk in node.chunks if chunk.status.status == status]
return chunks
def getChunks(self, nodes=None):
""" Returns the list of NodeChunks for the given list of nodes (for all nodes if nodes is None) """
chunks = []
for node in nodes or self.nodes:
chunks += [chunk for chunk in node.chunks]
return chunks
def getOrderedChunks(self):
""" Get chunks as visited by dfsOnFinish.
Returns:
list of NodeChunks: the ordered list of NodeChunks
"""
return self.getChunks(self.dfsOnFinish()[0])
@property
def nodes(self):
return self._nodes
@property
def edges(self):
return self._edges
@property
def cacheDir(self):
return self._cacheDir
@cacheDir.setter
def cacheDir(self, value):
if self._cacheDir == value:
return
# use unix-style paths for cache directory
self._cacheDir = value.replace(os.path.sep, "/")
self.updateInternals(force=True)
self.updateStatusFromCache(force=True)
self.cacheDirChanged.emit()
nodes = Property(BaseObject, nodes.fget, constant=True)
edges = Property(BaseObject, edges.fget, constant=True)
filepathChanged = Signal()
filepath = Property(str, lambda self: self._filepath, notify=filepathChanged)
fileReleaseVersion = Property(str, lambda self: self.header.get(Graph.IO.Keys.ReleaseVersion, "0.0"), notify=filepathChanged)
cacheDirChanged = Signal()
cacheDir = Property(str, cacheDir.fget, cacheDir.fset, notify=cacheDirChanged)
updated = Signal()
canComputeLeavesChanged = Signal()
canComputeLeaves = Property(bool, lambda self: self._canComputeLeaves, notify=canComputeLeavesChanged)
class BaseNode(BaseObject):
"""
Base Abstract class for Graph nodes.
"""
# Regexp handling complex attribute names with recursive understanding of Lists and Groups
# i.e: a.b, a[0], a[0].b.c[1]
attributeRE = re.compile(r'\.?(?P<name>\w+)(?:\[(?P<index>\d+)\])?')
def __init__(self, nodeType, position=None, parent=None, **kwargs):
"""
Create a new Node instance based on the given node description.
Any other keyword argument will be used to initialize this node's attributes.
Args:
nodeDesc (desc.Node): the node description for this node
parent (BaseObject): this Node's parent
**kwargs: attributes values
"""
super(BaseNode, self).__init__(parent)
self._nodeType = nodeType
self.nodeDesc = None
# instantiate node description if nodeType is valid
if nodeType in meshroom.core.nodesDesc:
self.nodeDesc = meshroom.core.nodesDesc[nodeType]()
self.packageName = self.packageVersion = ""
self._internalFolder = ""
self._name = None
self.graph = None
self.dirty = True # whether this node's outputs must be re-evaluated on next Graph update
self._chunks = ListModel(parent=self)
self._uids = dict()
self._cmdVars = {}
self._size = 0
self._position = position or Position()
self._attributes = DictModel(keyAttrName='name', parent=self)
self.attributesPerUid = defaultdict(set)
self._alive = True # for QML side to know if the node can be used or is going to be deleted
def __getattr__(self, k):
try:
# Throws exception if not in prototype chain
# return object.__getattribute__(self, k) # doesn't work in python2
return object.__getattr__(self, k)
except AttributeError as e:
try:
return self.attribute(k)
except KeyError:
raise e
def getName(self):
return self._name
def getLabel(self):
"""
Returns:
str: the high-level label of this node
"""
t, idx = self._name.split("_")
return "{}{}".format(t, idx if int(idx) > 1 else "")
def getDocumentation(self):
return self.nodeDesc.documentation
@property
def packageFullName(self):
return '-'.join([self.packageName, self.packageVersion])
@Slot(str, result=Attribute)
def attribute(self, name):
att = None
# Complex name indicating group or list attribute
if '[' in name or '.' in name:
p = self.attributeRE.findall(name)
for n, idx in p:
# first step: get root attribute
if att is None:
att = self._attributes.get(n)
else:
# get child Attribute in Group
assert isinstance(att, GroupAttribute)
att = att.value.get(n)
if idx != '':
# get child Attribute in List
assert isinstance(att, ListAttribute)
att = att.value.at(int(idx))
else:
att = self._attributes.get(name)
return att
def getAttributes(self):
return self._attributes
@Slot(str, result=bool)
def hasAttribute(self, name):
return name in self._attributes.keys()
def _applyExpr(self):
for attr in self._attributes:
attr._applyExpr()
@property
def nodeType(self):
return self._nodeType
@property
def position(self):
""" Get node position. """
return self._position
@position.setter
def position(self, value):
""" Set node position.
Args:
value (Position): target position
"""
if self._position == value:
return
self._position = value
self.positionChanged.emit()
@property
def alive(self):
return self._alive
@alive.setter
def alive(self, value):
if self._alive == value:
return
self._alive = value
self.aliveChanged.emit()
@property
def depth(self):
return self.graph.getDepth(self)
@property
def minDepth(self):
return self.graph.getDepth(self, minimal=True)
def toDict(self):
pass
def _computeUids(self):
""" Compute node uids by combining associated attributes' uids. """
for uidIndex, associatedAttributes in self.attributesPerUid.items():
# uid is computed by hashing the sorted list of tuple (name, value) of all attributes impacting this uid
uidAttributes = [(a.getName(), a.uid(uidIndex)) for a in associatedAttributes if a.enabled]
uidAttributes.sort()
self._uids[uidIndex] = hashValue(uidAttributes)
def _buildCmdVars(self):
def _buildAttributeCmdVars(cmdVars, name, attr):
if attr.enabled:
if attr.attributeDesc.group is not None:
# if there is a valid command line "group"
v = attr.getValueStr()
cmdVars[name] = '--{name} {value}'.format(name=name, value=v)
cmdVars[name + 'Value'] = str(v)
if v:
cmdVars[attr.attributeDesc.group] = cmdVars.get(attr.attributeDesc.group, '') + \
' ' + cmdVars[name]
elif isinstance(attr, GroupAttribute):
assert isinstance(attr.value, DictModel)
# if the GroupAttribute is not set in a single command line argument,
# the sub-attributes may need to be exposed individually
for v in attr._value:
_buildAttributeCmdVars(cmdVars, v.name, v)
""" Generate command variables using input attributes and resolved output attributes names and values. """
for uidIndex, value in self._uids.items():
self._cmdVars['uid{}'.format(uidIndex)] = value
# Evaluate input params
for name, attr in self._attributes.objects.items():
if attr.isOutput:
continue # skip outputs
_buildAttributeCmdVars(self._cmdVars, name, attr)
# For updating output attributes invalidation values
cmdVarsNoCache = self._cmdVars.copy()
cmdVarsNoCache['cache'] = ''
# Evaluate output params
for name, attr in self._attributes.objects.items():
if attr.isInput:
continue # skip inputs
# Only consider File attributes for command output parameters
if not isinstance(attr.attributeDesc, desc.File):
continue
defaultValue = attr.defaultValue()
try:
attr.value = defaultValue.format(**self._cmdVars)
attr._invalidationValue = defaultValue.format(**cmdVarsNoCache)
except KeyError as e:
logging.warning('Invalid expression with missing key on "{nodeName}.{attrName}" with value "{defaultValue}".\nError: {err}'.format(nodeName=self.name, attrName=attr.name, defaultValue=defaultValue, err=str(e)))
except ValueError as e:
logging.warning('Invalid expression value on "{nodeName}.{attrName}" with value "{defaultValue}".\nError: {err}'.format(nodeName=self.name, attrName=attr.name, defaultValue=defaultValue, err=str(e)))
v = attr.getValueStr()
self._cmdVars[name] = '--{name} {value}'.format(name=name, value=v)
self._cmdVars[name + 'Value'] = str(v)
if v:
self._cmdVars[attr.attributeDesc.group] = self._cmdVars.get(attr.attributeDesc.group, '') + \
' ' + self._cmdVars[name]
@property
def isParallelized(self):
return bool(self.nodeDesc.parallelization) if meshroom.useMultiChunks else False
@property
def nbParallelizationBlocks(self):
return len(self._chunks)
def hasStatus(self, status):
if not self._chunks:
return False
for chunk in self._chunks:
if chunk.status.status != status:
return False
return True
def _isComputed(self):
return self.hasStatus(Status.SUCCESS)
@Slot()
def clearData(self):
""" Delete this Node internal folder.
Status will be reset to Status.NONE
"""
if self.internalFolder and os.path.exists(self.internalFolder):
shutil.rmtree(self.internalFolder)
self.updateStatusFromCache()
def isAlreadySubmitted(self):
for chunk in self._chunks:
if chunk.isAlreadySubmitted():
return True
return False
def alreadySubmittedChunks(self):
return [ch for ch in self._chunks if ch.isAlreadySubmitted()]
@Slot()
def clearSubmittedChunks(self):
""" Reset all submitted chunks to Status.NONE. This method should be used to clear inconsistent status
if a computation failed without informing the graph.
Warnings:
This must be used with caution. This could lead to inconsistent node status
if the graph is still being computed.
"""
for chunk in self.alreadySubmittedChunks():
chunk.upgradeStatusTo(Status.NONE, ExecMode.NONE)
def upgradeStatusTo(self, newStatus):
"""
Upgrade node to the given status and save it on disk.
"""
for chunk in self._chunks:
chunk.upgradeStatusTo(newStatus)
def updateStatisticsFromCache(self):
for chunk in self._chunks:
chunk.updateStatisticsFromCache()
def _updateChunks(self):
pass
def updateInternals(self, cacheDir=None):
""" Update Node's internal parameters and output attributes.
This method is called when:
- an input parameter is modified
- the graph main cache directory is changed
Args:
cacheDir (str): (optional) override graph's cache directory with custom path
"""
if self.nodeDesc:
self.nodeDesc.update(self)
for attr in self._attributes:
attr.updateInternals()
# Update chunks splitting
self._updateChunks()
# Retrieve current internal folder (if possible)
try:
folder = self.internalFolder
except KeyError:
folder = ''
# Update command variables / output attributes
self._cmdVars = {
'cache': cacheDir or self.graph.cacheDir,
'nodeType': self.nodeType,
}
self._computeUids()
self._buildCmdVars()
if self.nodeDesc:
self.nodeDesc.postUpdate(self)
# Notify internal folder change if needed
if self.internalFolder != folder:
self.internalFolderChanged.emit()
@property
def internalFolder(self):
return self._internalFolder.format(**self._cmdVars)
def updateStatusFromCache(self):
"""
Update node status based on status file content/existence.
"""
for chunk in self._chunks:
chunk.updateStatusFromCache()
def submit(self, forceCompute=False):
for chunk in self._chunks:
if forceCompute or chunk.status.status != Status.SUCCESS:
chunk.upgradeStatusTo(Status.SUBMITTED, ExecMode.EXTERN)
def beginSequence(self, forceCompute=False):
for chunk in self._chunks:
if forceCompute or chunk.status.status != Status.SUCCESS:
chunk.upgradeStatusTo(Status.SUBMITTED, ExecMode.LOCAL)
def processIteration(self, iteration):
self._chunks[iteration].process()
def process(self, forceCompute=False):
for chunk in self._chunks:
chunk.process(forceCompute)
def endSequence(self):
pass
def getGlobalStatus(self):
"""
Get node global status based on the status of its chunks.
Returns:
Status: the node global status
"""
chunksStatus = [chunk.status.status for chunk in self._chunks]
anyOf = (Status.ERROR, Status.STOPPED, Status.KILLED,
Status.RUNNING, Status.SUBMITTED)
allOf = (Status.SUCCESS,)
for status in anyOf:
if any(s == status for s in chunksStatus):
return status
for status in allOf:
if all(s == status for s in chunksStatus):
return status
return Status.NONE
def getChunks(self):
return self._chunks
def getSize(self):
return self._size
def setSize(self, value):
if self._size == value:
return
self._size = value
self.sizeChanged.emit()
def __repr__(self):
return self.name
name = Property(str, getName, constant=True)
label = Property(str, getLabel, constant=True)
nodeType = Property(str, nodeType.fget, constant=True)
documentation = Property(str, getDocumentation, constant=True)
positionChanged = Signal()
position = Property(Variant, position.fget, position.fset, notify=positionChanged)
x = Property(float, lambda self: self._position.x, notify=positionChanged)
y = Property(float, lambda self: self._position.y, notify=positionChanged)
attributes = Property(BaseObject, getAttributes, constant=True)
internalFolderChanged = Signal()
internalFolder = Property(str, internalFolder.fget, notify=internalFolderChanged)
depthChanged = Signal()
depth = Property(int, depth.fget, notify=depthChanged)
minDepth = Property(int, minDepth.fget, notify=depthChanged)
chunksChanged = Signal()
chunks = Property(Variant, getChunks, notify=chunksChanged)
sizeChanged = Signal()
size = Property(int, getSize, notify=sizeChanged)
globalStatusChanged = Signal()
globalStatus = Property(str, lambda self: self.getGlobalStatus().name, notify=globalStatusChanged)
isComputed = Property(bool, _isComputed, notify=globalStatusChanged)
aliveChanged = Signal()
alive = Property(bool, alive.fget, alive.fset, notify=aliveChanged)
class TaskManager(BaseObject):
"""
Manage graph - local and external - computation tasks.
"""
def __init__(self, parent=None):
super(TaskManager, self).__init__(parent)
self._graph = None
self._nodes = DictModel(keyAttrName='_name', parent=self)
self._nodesToProcess = []
self._nodesExtern = []
# internal thread in which local tasks are executed
self._thread = TaskThread(self)
self._blockRestart = False
self.restartRequested.connect(self.restart)
def requestBlockRestart(self):
"""
Block computing.
Note: should only be used to completely stop computing.
"""
self._blockRestart = True
def blockRestart(self):
""" Avoid the automatic restart of computing. """
for node in self._nodesToProcess:
chunkCount = 0
for chunk in node.chunks:
if chunk.status.status in (Status.SUBMITTED, Status.ERROR):
chunk.upgradeStatusTo(Status.NONE)
chunkCount += 1
if chunkCount == len(node.chunks):
self.removeNode(node, displayList=True)
self._blockRestart = False
self._nodesToProcess = []
self._thread._state = State.DEAD
@Slot()
def restart(self):
"""
Restart computing when thread has been stopped.
Note: this is done like this to avoid app freezing.
"""
# Make sure to wait the end of the current thread
self._thread.join()
# Avoid restart if thread was globally stopped
if self._blockRestart:
self.blockRestart()
return
if self._thread._state != State.STOPPED:
return
for node in self._nodesToProcess:
if node.getGlobalStatus() == Status.STOPPED:
# Remove node from the computing list
self.removeNode(node, displayList=False, processList=True)
# Remove output nodes from display and computing lists
outputNodes = node.getOutputNodes(recursive=True,
dependenciesOnly=True)
for n in outputNodes:
if n.getGlobalStatus() in (Status.ERROR, Status.SUBMITTED):
n.upgradeStatusTo(Status.NONE)
self.removeNode(n, displayList=True, processList=True)
# Start a new thread with the remaining nodes to compute
self._thread = TaskThread(self)
self._thread.start()
def compute(self,
graph=None,
toNodes=None,
forceCompute=False,
forceStatus=False):
"""
Start graph computation, from root nodes to leaves - or nodes in 'toNodes' if specified.
Computation tasks (NodeChunk) happen in a separate thread (see TaskThread).
:param graph: the graph to consider.
:param toNodes: specific leaves, all graph leaves if None.
:param forceCompute: force the computation despite nodes status.
:param forceStatus: force the computation even if some nodes are submitted externally.
"""
self._graph = graph
self.updateNodes()
if forceCompute:
nodes, edges = graph.dfsOnFinish(startNodes=toNodes)
self.checkCompatibilityNodes(
graph, nodes,
"COMPUTATION") # name of the context is important for QML
self.checkDuplicates(
nodes,
"COMPUTATION") # name of the context is important for QML
else:
# Check dependencies of toNodes
if not toNodes:
toNodes = graph.getLeafNodes(dependenciesOnly=True)
toNodes = list(toNodes)
allReady = self.checkNodesDependencies(graph, toNodes,
"COMPUTATION")
# At this point, toNodes is a list
# If it is empty, we raise an error to avoid passing through dfsToProcess
if not toNodes:
self.raiseImpossibleProcess("COMPUTATION")
nodes, edges = graph.dfsToProcess(startNodes=toNodes)
if not nodes:
logging.warning('Nothing to compute')
return
self.checkCompatibilityNodes(
graph, nodes,
"COMPUTATION") # name of the context is important for QML
self.checkDuplicates(
nodes,
"COMPUTATION") # name of the context is important for QML
nodes = [node for node in nodes if not self.contains(node)
] # be sure to avoid non-real conflicts
chunksInConflict = self.getAlreadySubmittedChunks(nodes)
if chunksInConflict:
chunksStatus = set(
[chunk.status.status.name for chunk in chunksInConflict])
chunksName = [node.name for node in chunksInConflict]
# Warning: Syntax and terms are parsed on QML side to recognize the error
# Syntax : [Context] ErrorType: ErrorMessage
msg = '[COMPUTATION] Already Submitted:\n' \
'WARNING - Some nodes are already submitted with status: {}\nNodes: {}'.format(
', '.join(chunksStatus),
', '.join(chunksName)
)
if forceStatus:
logging.warning(msg)
else:
raise RuntimeError(msg)
for node in nodes:
node.destroyed.connect(lambda obj=None, name=node.name: self.
onNodeDestroyed(obj, name))
node.beginSequence(forceCompute)
self._nodes.update(nodes)
self._nodesToProcess.extend(nodes)
if self._thread._state == State.IDLE:
self._thread.start()
elif self._thread._state in (State.DEAD, State.ERROR):
self._thread = TaskThread(self)
self._thread.start()
# At the end because it raises a WarningError but should not stop processing
if not allReady:
self.raiseDependenciesMessage("COMPUTATION")
def onNodeDestroyed(self, obj, name):
"""
Remove node from the taskmanager when it's destroyed in the graph
:param obj:
:param name:
:return:
"""
if name in self._nodes.keys():
self._nodes.pop(name)
def contains(self, node):
return node in self._nodes.values()
def containsNodeName(self, name):
""" Check if a node with the argument name belongs to the display list. """
if name in self._nodes.keys():
return True
return False
def removeNode(self,
node,
displayList=True,
processList=False,
externList=False):
""" Remove node from the Task Manager.
Args:
node (Node): node to remove.
displayList (bool): remove from the display list.
processList (bool): remove from the nodesToProcess list.
externList (bool): remove from the nodesExtern list.
"""
if displayList and self._nodes.contains(node):
self._nodes.pop(node.name)
if processList and node in self._nodesToProcess:
self._nodesToProcess.remove(node)
if externList and node in self._nodesExtern:
self._nodesExtern.remove(node)
def clear(self):
"""
Remove all the nodes from the taskmanager
:return:
"""
self._nodes.clear()
self._nodesExtern = []
self._nodesToProcess = []
def updateNodes(self):
"""
Update task manager nodes lists by checking the nodes status.
"""
self._nodesExtern = [
node for node in self._nodesExtern
if node.isExtern() and node.isAlreadySubmitted()
]
newNodes = [node for node in self._nodes if node.isAlreadySubmitted()]
if len(newNodes) != len(self._nodes):
self._nodes.clear()
self._nodes.update(newNodes)
def update(self, graph):
"""
Add all the nodes that are being rendered in a renderfarm to the taskmanager when new graph is loaded
:param graph:
:return:
"""
for node in graph._nodes:
if node.isAlreadySubmitted(
) and node._chunks.size() > 0 and node.isExtern():
self._nodes.add(node)
self._nodesExtern.append(node)
def checkCompatibilityNodes(self, graph, nodes, context):
compatNodes = []
for node in nodes:
if node in graph._compatibilityNodes.values():
compatNodes.append(node.nameToLabel(node.name))
if compatNodes:
# Warning: Syntax and terms are parsed on QML side to recognize the error
# Syntax : [Context] ErrorType: ErrorMessage
raise RuntimeError(
"[{}] Compatibility Issue:\n"
"Cannot compute because of these incompatible nodes:\n"
"{}".format(context, sorted(compatNodes)))
def checkDuplicates(self, nodesToProcess, context):
for node in nodesToProcess:
for duplicate in node.duplicates:
if duplicate in nodesToProcess:
# Warning: Syntax and terms are parsed on QML side to recognize the error
# Syntax : [Context] ErrorType: ErrorMessage
raise RuntimeError(
"[{}] Duplicates Issue:\n"
"Cannot compute because there are some duplicate nodes to process:\n\n"
"First match: '{}' and '{}'\n\n"
"There can be other duplicate nodes in the list. Please, check the graph and try again."
.format(context, node.nameToLabel(node.name),
node.nameToLabel(duplicate.name)))
def checkNodesDependencies(self, graph, toNodes, context):
"""
Check dependencies of nodes to process.
Update toNodes with computable/submittable nodes only.
Returns:
bool: True if all the nodes can be processed. False otherwise.
"""
ready = []
computed = []
for node in toNodes:
if context == "COMPUTATION":
if graph.canCompute(
node) and graph.canSubmitOrCompute(node) % 2 == 1:
ready.append(node)
elif node.isComputed:
computed.append(node)
elif context == "SUBMITTING":
if graph.canCompute(
node) and graph.canSubmitOrCompute(node) > 1:
ready.append(node)
elif node.isComputed:
computed.append(node)
else:
raise ValueError(
"Argument 'context' must be: 'COMPUTATION' or 'SUBMITTING'"
)
if len(ready) + len(computed) != len(toNodes):
toNodes.clear()
toNodes.extend(ready)
return False
return True
def raiseDependenciesMessage(self, context):
# Warning: Syntax and terms are parsed on QML side to recognize the error
# Syntax : [Context] ErrorType: ErrorMessage
raise RuntimeWarning(
"[{}] Unresolved dependencies:\n"
"Some nodes cannot be computed in LOCAL/submitted in EXTERN because of unresolved dependencies.\n\n"
"Nodes which are ready will be processed.".format(context))
def raiseImpossibleProcess(self, context):
# Warning: Syntax and terms are parsed on QML side to recognize the error
# Syntax : [Context] ErrorType: ErrorMessage
raise RuntimeError(
"[{}] Impossible Process:\n"
"There is no node able to be processed.".format(context))
def submit(self, graph=None, submitter=None, toNodes=None):
"""
Nodes are send to the renderfarm
:param graph:
:param submitter:
:param toNodes:
:return:
"""
# Ensure submitter is properly set
sub = None
if submitter:
sub = meshroom.core.submitters.get(submitter, None)
elif len(meshroom.core.submitters) == 1:
# if only one submitter available use it
allSubmitters = meshroom.core.submitters.values()
sub = next(iter(allSubmitters)) # retrieve the first element
if sub is None:
# Warning: Syntax and terms are parsed on QML side to recognize the error
# Syntax : [Context] ErrorType: ErrorMessage
raise RuntimeError(
"[SUBMITTING] Unknown Submitter:\n"
"Unknown Submitter called '{submitter}'. Available submitters are: '{allSubmitters}'."
.format(submitter=submitter,
allSubmitters=str(meshroom.core.submitters.keys())))
# Update task manager's lists
self.updateNodes()
# Check dependencies of toNodes
if not toNodes:
toNodes = graph.getLeafNodes(dependenciesOnly=True)
toNodes = list(toNodes)
allReady = self.checkNodesDependencies(graph, toNodes, "SUBMITTING")
# At this point, toNodes is a list
# If it is empty, we raise an error to avoid passing through dfsToProcess
if not toNodes:
self.raiseImpossibleProcess("SUBMITTING")
nodesToProcess, edgesToProcess = graph.dfsToProcess(startNodes=toNodes)
if not nodesToProcess:
logging.warning('Nothing to compute')
return
self.checkCompatibilityNodes(
graph, nodesToProcess,
"SUBMITTING") # name of the context is important for QML
self.checkDuplicates(
nodesToProcess,
"SUBMITTING") # name of the context is important for QML
flowEdges = graph.flowEdges(startNodes=toNodes)
edgesToProcess = set(edgesToProcess).intersection(flowEdges)
logging.info("Nodes to process: {}".format(nodesToProcess))
logging.info("Edges to process: {}".format(edgesToProcess))
try:
res = sub.submit(nodesToProcess, edgesToProcess, graph.filepath)
if res:
for node in nodesToProcess:
node.destroyed.connect(lambda obj=None, name=node.name:
self.onNodeDestroyed(obj, name))
node.submit() # update node status
self._nodes.update(nodesToProcess)
self._nodesExtern.extend(nodesToProcess)
# At the end because it raises a WarningError but should not stop processing
if not allReady:
self.raiseDependenciesMessage("SUBMITTING")
except Exception as e:
logging.error("Error on submit : {}".format(e))
def submitFromFile(self, graphFile, submitter, toNode=None):
"""
Submit the given graph via the given submitter.
"""
graph = meshroom.core.graph.loadGraph(graphFile)
toNodes = graph.findNodes([toNode]) if toNode else None
self.submit(graph, submitter, toNodes)
def getAlreadySubmittedChunks(self, nodes):
"""
Check if nodes have already been submitted in another Meshroom instance.
:param nodes:
:return:
"""
out = []
for node in nodes:
for chunk in node.chunks:
# Already submitted/running chunks in another task manager
if chunk.isAlreadySubmitted() and not self.containsNodeName(
chunk.statusNodeName):
out.append(chunk)
return out
nodes = Property(BaseObject, lambda self: self._nodes, constant=True)
restartRequested = Signal()
class GroupAttribute(Attribute):
def __init__(self, node, attributeDesc, isOutput, root=None, parent=None):
super(GroupAttribute, self).__init__(node, attributeDesc, isOutput,
root, parent)
self._value = DictModel(keyAttrName='name', parent=self)
subAttributes = []
for subAttrDesc in self.attributeDesc.groupDesc:
childAttr = attributeFactory(subAttrDesc, None, self.isOutput,
self.node, self)
subAttributes.append(childAttr)
childAttr.valueChanged.connect(self.valueChanged)
self._value.reset(subAttributes)
def __getattr__(self, key):
try:
return super(GroupAttribute, self).__getattr__(key)
except AttributeError:
try:
return self._value.get(key)
except KeyError:
raise AttributeError(key)
def _set_value(self, exportedValue):
self.desc.validateValue(exportedValue)
# set individual child attribute values
for key, value in exportedValue.items():
self._value.get(key).value = value
@Slot(str, result=Attribute)
def childAttribute(self, key):
"""
Get child attribute by name or None if none was found.
Args:
key (str): the name of the child attribute
Returns:
Attribute: the child attribute or None
"""
try:
return self._value.get(key)
except KeyError:
return None
def uid(self, uidIndex):
uids = []
for k, v in self._value.items():
if uidIndex in v.desc.uid:
uids.append(v.uid(uidIndex))
return hashValue(uids)
def _applyExpr(self):
for value in self._value:
value._applyExpr()
def getExportValue(self):
return {
key: attr.getExportValue()
for key, attr in self._value.objects.items()
}
def _isDefault(self):
return all(v.isDefault for v in self._value)
def defaultValue(self):
return {key: attr.defaultValue() for key, attr in self._value.items()}
def getPrimitiveValue(self, exportDefault=True):
if exportDefault:
return {
name: attr.getPrimitiveValue(exportDefault=exportDefault)
for name, attr in self._value.items()
}
else:
return {
name: attr.getPrimitiveValue(exportDefault=exportDefault)
for name, attr in self._value.items() if not attr.isDefault
}
def getValueStr(self):
return self.attributeDesc.joinChar.join(
[v.getValueStr() for v in self._value.objects.values()])
# Override value property
value = Property(Variant,
Attribute._get_value,
_set_value,
notify=Attribute.valueChanged)
isDefault = Property(bool, _isDefault, notify=Attribute.valueChanged)