mirror of
https://github.com/alicevision/Meshroom.git
synced 2025-04-29 10:17:27 +02:00
275 lines
9.9 KiB
Python
275 lines
9.9 KiB
Python
__version__ = "1.0"
|
|
|
|
from meshroom.core import desc
|
|
from meshroom.core.utils import VERBOSE_LEVEL
|
|
|
|
import glob
|
|
import os
|
|
import json
|
|
import zipfile
|
|
import requests
|
|
import io
|
|
|
|
|
|
class BufferReader(io.BytesIO): # object to call the callback while the file is being uploaded
|
|
def __init__(self, buf=b'',
|
|
callback=None,
|
|
cb_args=(),
|
|
cb_kwargs={},
|
|
stopped=None):
|
|
self._callback = callback
|
|
self._cb_args = cb_args
|
|
self._cb_kwargs = cb_kwargs
|
|
self._stopped = stopped
|
|
self._progress = 0
|
|
self._len = len(buf)
|
|
io.BytesIO.__init__(self, buf)
|
|
|
|
def __len__(self):
|
|
return self._len
|
|
|
|
def read(self, n=-1):
|
|
chunk = io.BytesIO.read(self, n)
|
|
self._progress += int(len(chunk))
|
|
self._cb_kwargs.update({
|
|
'size' : self._len,
|
|
'progress': self._progress
|
|
})
|
|
if self._callback:
|
|
try:
|
|
self._callback(*self._cb_args, **self._cb_kwargs)
|
|
except Exception as e: # catches exception from the callback
|
|
self._cb_kwargs['logManager'].logger.warning('Error at callback: {}'.format(e))
|
|
|
|
if self._stopped():
|
|
raise RuntimeError('Node stopped by user')
|
|
return chunk
|
|
|
|
def progressUpdate(size=None, progress=None, logManager=None):
|
|
if not logManager.progressBar:
|
|
logManager.makeProgressBar(size, 'Upload progress:')
|
|
|
|
logManager.updateProgressBar(progress)
|
|
|
|
class SketchfabUpload(desc.Node):
|
|
size = desc.DynamicNodeSize('inputFiles')
|
|
|
|
category = 'Export'
|
|
documentation = '''
|
|
Upload a textured mesh on Sketchfab.
|
|
'''
|
|
|
|
inputs = [
|
|
desc.ListAttribute(
|
|
elementDesc=desc.File(
|
|
name="input",
|
|
label="Input",
|
|
description="",
|
|
value="",
|
|
),
|
|
name="inputFiles",
|
|
label="Input Files",
|
|
description="Input Files to export.",
|
|
group="",
|
|
),
|
|
desc.StringParam(
|
|
name="apiToken",
|
|
label="API Token",
|
|
description="Get your token from https://sketchfab.com/settings/password.",
|
|
value="",
|
|
),
|
|
desc.StringParam(
|
|
name="title",
|
|
label="Title",
|
|
description="Title cannot be longer than 48 characters.",
|
|
value="",
|
|
),
|
|
desc.StringParam(
|
|
name="description",
|
|
label="Description",
|
|
description="Description cannot be longer than 1024 characters.",
|
|
value="",
|
|
),
|
|
desc.ChoiceParam(
|
|
name="license",
|
|
label="License",
|
|
description="License label.",
|
|
value="CC Attribution",
|
|
values=["CC Attribution",
|
|
"CC Attribution-ShareAlike",
|
|
"CC Attribution-NoDerivs",
|
|
"CC Attribution-NonCommercial",
|
|
"CC Attribution-NonCommercial-ShareAlike",
|
|
"CC Attribution-NonCommercial-NoDerivs"],
|
|
),
|
|
desc.ListAttribute(
|
|
elementDesc=desc.StringParam(
|
|
name="tag",
|
|
label="Tag",
|
|
description="Tag cannot be longer than 48 characters.",
|
|
value="",
|
|
),
|
|
name="tags",
|
|
label="Tags",
|
|
description="Maximum of 42 separate tags.",
|
|
group="",
|
|
),
|
|
desc.ChoiceParam(
|
|
name="category",
|
|
label="Category",
|
|
description="Adding categories helps improve the discoverability of your model.",
|
|
value="none",
|
|
values=["none",
|
|
"animals-pets",
|
|
"architecture",
|
|
"art-abstract",
|
|
"cars-vehicles",
|
|
"characters-creatures",
|
|
"cultural-heritage-history",
|
|
"electronics-gadgets",
|
|
"fashion-style",
|
|
"food-drink",
|
|
"furniture-home",
|
|
"music",
|
|
"nature-plants",
|
|
"news-politics",
|
|
"people",
|
|
"places-travel",
|
|
"science-technology",
|
|
"sports-fitness",
|
|
"weapons-military"],
|
|
),
|
|
desc.BoolParam(
|
|
name="isPublished",
|
|
label="Publish",
|
|
description="If the model is not published, it will be saved as a draft.",
|
|
value=False,
|
|
),
|
|
desc.BoolParam(
|
|
name="isInspectable",
|
|
label="Inspectable",
|
|
description="Allow 2D view in model inspector.",
|
|
value=True,
|
|
),
|
|
desc.BoolParam(
|
|
name="isPrivate",
|
|
label="Private",
|
|
description="Requires a pro account.",
|
|
value=False,
|
|
),
|
|
desc.StringParam(
|
|
name="password",
|
|
label="Password",
|
|
description="Requires a pro account.",
|
|
value="",
|
|
),
|
|
desc.ChoiceParam(
|
|
name="verboseLevel",
|
|
label="Verbose Level",
|
|
description="Verbosity level (fatal, error, warning, info, debug, trace).",
|
|
values=VERBOSE_LEVEL,
|
|
value="info",
|
|
),
|
|
]
|
|
|
|
def upload(self, apiToken, modelFile, data, chunk):
|
|
modelEndpoint = 'https://api.sketchfab.com/v3/models'
|
|
f = open(modelFile, 'rb')
|
|
file = {'modelFile': (os.path.basename(modelFile), f.read())}
|
|
file.update(data)
|
|
f.close()
|
|
(files, contentType) = requests.packages.urllib3.filepost.encode_multipart_formdata(file)
|
|
headers = {'Authorization': 'Token {}'.format(apiToken), 'Content-Type': contentType}
|
|
body = BufferReader(files, progressUpdate, cb_kwargs={'logManager': chunk.logManager}, stopped=self.stopped)
|
|
chunk.logger.info('Uploading...')
|
|
try:
|
|
r = requests.post(
|
|
modelEndpoint, **{'data': body, 'headers': headers})
|
|
chunk.logManager.completeProgressBar()
|
|
except requests.exceptions.RequestException as e:
|
|
chunk.logger.error(u'An error occurred: {}'.format(e))
|
|
raise RuntimeError()
|
|
if r.status_code != requests.codes.created:
|
|
chunk.logger.error(u'Upload failed with error: {}'.format(r.json()))
|
|
raise RuntimeError()
|
|
|
|
def resolvedPaths(self, inputFiles):
|
|
paths = []
|
|
for inputFile in inputFiles:
|
|
if os.path.isdir(inputFile.value):
|
|
for path, subdirs, files in os.walk(inputFile.value):
|
|
for name in files:
|
|
paths.append(os.path.join(path, name))
|
|
else:
|
|
for f in glob.glob(inputFile.value):
|
|
paths.append(f)
|
|
return paths
|
|
|
|
def stopped(self):
|
|
return self._stopped
|
|
|
|
def processChunk(self, chunk):
|
|
try:
|
|
self._stopped = False
|
|
chunk.logManager.start(chunk.node.verboseLevel.value)
|
|
uploadFile = ''
|
|
|
|
if not chunk.node.inputFiles:
|
|
chunk.logger.warning('Nothing to upload')
|
|
return
|
|
if chunk.node.apiToken.value == '':
|
|
chunk.logger.error('Need API token.')
|
|
raise RuntimeError()
|
|
if len(chunk.node.title.value) > 48:
|
|
chunk.logger.error('Title cannot be longer than 48 characters.')
|
|
raise RuntimeError()
|
|
if len(chunk.node.description.value) > 1024:
|
|
chunk.logger.error('Description cannot be longer than 1024 characters.')
|
|
raise RuntimeError()
|
|
tags = [ i.value.replace(' ', '-') for i in chunk.node.tags.value.values() ]
|
|
if all(len(i) > 48 for i in tags) and len(tags) > 0:
|
|
chunk.logger.error('Tags cannot be longer than 48 characters.')
|
|
raise RuntimeError()
|
|
if len(tags) > 42:
|
|
chunk.logger.error('Maximum of 42 separate tags.')
|
|
raise RuntimeError()
|
|
|
|
data = {
|
|
'name': chunk.node.title.value,
|
|
'description': chunk.node.description.value,
|
|
'license': chunk.node.license.value,
|
|
'tags': str(tags),
|
|
'isPublished': chunk.node.isPublished.value,
|
|
'isInspectable': chunk.node.isInspectable.value,
|
|
'private': chunk.node.isPrivate.value,
|
|
'password': chunk.node.password.value
|
|
}
|
|
if chunk.node.category.value != 'none':
|
|
data.update({'categories': chunk.node.category.value})
|
|
chunk.logger.debug('Data to be sent: {}'.format(str(data)))
|
|
|
|
# pack files into .zip to reduce file size and simplify process
|
|
uploadFile = os.path.join(chunk.node.internalFolder, 'temp.zip')
|
|
files = self.resolvedPaths(chunk.node.inputFiles.value)
|
|
zf = zipfile.ZipFile(uploadFile, 'w')
|
|
for file in files:
|
|
zf.write(file, os.path.basename(file))
|
|
zf.close()
|
|
chunk.logger.debug('Files added to zip: {}'.format(str(files)))
|
|
chunk.logger.debug('Created {}'.format(uploadFile))
|
|
chunk.logger.info('File size: {}MB'.format(round(os.path.getsize(uploadFile)/(1024*1024), 3)))
|
|
|
|
self.upload(chunk.node.apiToken.value, uploadFile, data, chunk)
|
|
chunk.logger.info('Upload successful. Your model is being processed on Sketchfab. It may take some time to show up on your "models" page.')
|
|
except Exception as e:
|
|
chunk.logger.error(e)
|
|
raise RuntimeError()
|
|
finally:
|
|
if os.path.isfile(uploadFile):
|
|
os.remove(uploadFile)
|
|
chunk.logger.debug('Deleted {}'.format(uploadFile))
|
|
|
|
chunk.logManager.end()
|
|
|
|
def stopProcess(self, chunk):
|
|
self._stopped = True
|