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https://github.com/alicevision/Meshroom.git
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- `meshroom_submit`: the submission to the render farm is now effective (the script did not work at all). - `meshroom_status`: the `--toNode` option did not work and caused errors. - `meshroom_statistics`: some adjustments needed to be made for the script to run with Python3 instead of Python2, an issue in the core/stats.py file led the `statistics` file to never being read correctly, and the calls to the Matplotlib API were outdated.
51 lines
1.7 KiB
Python
Executable file
51 lines
1.7 KiB
Python
Executable file
#!/usr/bin/env python
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import argparse
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import os
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import sys
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from pprint import pprint
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import meshroom
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meshroom.setupEnvironment()
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import meshroom.core.graph
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parser = argparse.ArgumentParser(description='Query the status of nodes in a Graph of processes.')
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parser.add_argument('graphFile', metavar='GRAPHFILE.mg', type=str,
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help='Filepath to a graph file.')
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parser.add_argument('--node', metavar='NODE_NAME', type=str,
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help='Process the node alone.')
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parser.add_argument('--toNode', metavar='NODE_NAME', type=str,
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help='Process the node and all previous nodes needed.')
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parser.add_argument("--verbose", help="Print full status information",
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action="store_true")
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args = parser.parse_args()
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if not os.path.exists(args.graphFile):
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print('ERROR: No graph file "{}".'.format(args.node, args.graphFile))
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sys.exit(-1)
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graph = meshroom.core.graph.loadGraph(args.graphFile)
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graph.update()
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if args.node:
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node = graph.node(args.node)
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if node is None:
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print('ERROR: node "{}" does not exist in file "{}".'.format(args.node, args.graphFile))
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sys.exit(-1)
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for chunk in node.chunks:
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print('{}: {}'.format(chunk.name, chunk.status.status.name))
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if args.verbose:
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print('statusFile: ', node.statusFile)
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pprint(node.status.toDict())
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else:
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startNodes = None
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if args.toNode:
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startNodes = [graph.findNode(args.toNode)]
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nodes, edges = graph.dfsOnFinish(startNodes=startNodes)
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for node in nodes:
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for chunk in node.chunks:
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print('{}: {}'.format(chunk.name, chunk.status.status.name))
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if args.verbose:
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pprint([n.status.toDict() for n in nodes])
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