mirror of
https://github.com/alicevision/Meshroom.git
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200 lines
7 KiB
Python
200 lines
7 KiB
Python
__version__ = "1.0"
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from meshroom.core import desc
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import glob
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import os
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import json
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import zipfile
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import requests
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import io
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class BufferReader(io.BytesIO): # object to call the callback while the file is being uploaded
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def __init__(self, buf=b'',
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callback=None,
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cb_args=(),
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cb_kwargs={}):
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self._callback = callback
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self._cb_args = cb_args
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self._cb_kwargs = cb_kwargs
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self._progress = 0
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self._len = len(buf)
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io.BytesIO.__init__(self, buf)
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def __len__(self):
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return self._len
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def read(self, n=-1):
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chunk = io.BytesIO.read(self, n)
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self._progress += int(len(chunk))
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self._cb_kwargs.update({
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'size' : self._len,
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'progress': self._progress
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})
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if self._callback:
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try:
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self._callback(*self._cb_args, **self._cb_kwargs)
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except Exception as e: # catches exception from the callback
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self._cb_kwargs['logManager'].logger.warning('Error at callback: {}'.format(e))
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return chunk
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def progressUpdate(size=None, progress=None, logManager=None):
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if not logManager.progressBar:
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logManager.makeProgressBar(size, 'Upload progress:')
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logManager.updateProgressBar(progress)
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class SketchfabUpload(desc.Node):
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size = desc.DynamicNodeSize('inputFiles')
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inputs = [
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desc.ListAttribute(
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elementDesc=desc.File(
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name="input",
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label="Input",
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description="",
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value="",
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uid=[0],
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),
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name="inputFiles",
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label="Input Files",
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description="Input Files to export.",
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group="",
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),
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desc.ChoiceParam(
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name='maxSize',
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label='Maximum Upload Size',
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description='The maximum upload size in MB.',
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value=50,
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values=(50, 200, 500),
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exclusive=True,
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uid=[0],
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advanced=True,
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),
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desc.BoolParam(
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name='limitSize',
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label='Limit Upload Size',
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description='Change maximum download size in advanced attributes.',
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value=True,
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uid=[0],
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),
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desc.StringParam(
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name='apiToken',
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label='API Token',
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description='Get your token from https://sketchfab.com/settings/password',
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value='',
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uid=[0],
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),
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desc.StringParam(
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name='title',
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label='Title',
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description='Title cannot be longer than 48 characters.',
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value='',
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uid=[0],
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),
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desc.StringParam(
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name='description',
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label='Description',
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description='Description cannot be longer than 1024 characters.',
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value='',
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uid=[0],
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),
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desc.StringParam(
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name='license',
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label='License',
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description='License label.',
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value='CC Attribution',
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uid=[0],
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),
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desc.BoolParam(
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name='isPublished',
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label='Publish',
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description='If the model is not published it will be saved as a draft.',
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value=False,
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uid=[0],
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),
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desc.BoolParam(
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name='isInspectable',
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label='Inspectable',
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description='Allow 2D view in model inspector.',
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value=True,
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uid=[0],
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),
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desc.ChoiceParam(
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name='verboseLevel',
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label='Verbose Level',
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description='''verbosity level (critical, error, warning, info, debug).''',
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value='info',
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values=['critical', 'error', 'warning', 'info', 'debug'],
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exclusive=True,
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uid=[],
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),
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]
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def resolvedPaths(self, inputFiles):
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paths = []
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for inputFile in inputFiles:
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for f in glob.glob(inputFile.value):
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paths.append(f)
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return paths
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def upload(self, apiToken, modelFile, data, chunk):
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modelEndpoint = 'https://api.sketchfab.com/v3/models'
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f = open(modelFile, 'rb')
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file = {'modelFile': (os.path.basename(modelFile), f.read()), **data}
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(files, contentType) = requests.packages.urllib3.filepost.encode_multipart_formdata(file)
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headers = {'Authorization': 'Token {}'.format(apiToken), 'Content-Type': contentType}
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body = BufferReader(files, progressUpdate, cb_kwargs={'logManager': chunk.logManager})
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chunk.logger.info('Uploading...')
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try:
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r = requests.post(
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modelEndpoint, **{'data': body, 'headers': headers})
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f.close()
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chunk.logManager.completeProgressBar()
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except requests.exceptions.RequestException as e:
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f.close()
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chunk.logger.error(u'An error occured: {}'.format(e))
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raise RuntimeError()
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if r.status_code != requests.codes.created:
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chunk.logger.error(u'Upload failed with error: {}'.format(r.json()))
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raise RuntimeError()
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def processChunk(self, chunk):
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chunk.logManager.waitUntilCleared()
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chunk.logger.setLevel(chunk.logManager.textToLevel(chunk.node.verboseLevel.value))
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if not chunk.node.inputFiles:
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chunk.logger.warning('Nothing to upload')
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return
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if len(chunk.node.title.value) > 48:
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chunk.logger.error('Title cannot be longer than 48 characters.')
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raise RuntimeError()
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if len(chunk.node.description.value) > 1024:
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chunk.logger.error('Description cannot be longer than 1024 characters.')
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raise RuntimeError()
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if chunk.node.apiToken.value == '':
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chunk.logger.error('Need API token.')
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raise RuntimeError()
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data = {
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'name': chunk.node.title.value,
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'description': chunk.node.description.value,
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'license': chunk.node.license.value,
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'isPublished': chunk.node.isPublished.value,
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'isInspectable': chunk.node.isInspectable.value
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}
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# pack files into .zip to reduce file size and simplify process
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uploadFile = os.path.join(chunk.node.internalFolder, 'temp.zip')
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files = self.resolvedPaths(chunk.node.inputFiles.value)
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zf = zipfile.ZipFile(uploadFile, 'w')
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for file in files:
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zf.write(file, os.path.basename(file))
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zf.close()
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chunk.logger.info('Successfully created {}'.format(uploadFile))
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fileSize = os.path.getsize(uploadFile)/1000000
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chunk.logger.info('File size: {}MB'.format(fileSize))
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if chunk.node.limitSize.value and fileSize > chunk.node.maxSize.value:
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chunk.logger.error('File too big.')
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raise RuntimeError()
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self.upload(chunk.node.apiToken.value, uploadFile, data, chunk)
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chunk.logger.info('Upload successful. Your model is being processed on Sketchfab. It may take some time to show up on your "models" page.')
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