def delete(self, request, dataset_name, project_name):
try:
pr = NDProject.fromName(project_name)
pr.delete()
return HttpResponse(status=204)
except Exception as e:
return HttpResponseBadRequest()
def topkeys ( webargs ):
"""Return the most frequent keys in the database."""
[token, channel, otherargs] = webargs.split('/', 2)
# get the project
proj = NDProject.fromTokenName(token)
# get the channel
ch = ndproj.NDChannel(proj, channel)
# and the ramon database
with closing (RamonDB(proj)) as rdb:
m = re.search ( "topkeys/(\d+)/(?:type/(\d+)/)?", otherargs )
# if we have a count clause use
if m:
count = int(m.group(1))
if m.group(2):
anntype = int(m.group(2))
else:
anntype = None
else:
count = 10
anntype = None
topkeys = rdb.getTopKeys ( ch, count, anntype )
return json.dumps ( topkeys )
def buildStack(token, channel_name, resolution=None):
"""Wrapper for the different datatypes """
pr = NDProject.fromTokenName(token)
ch = pr.getChannelObj(channel_name)
try:
# if ch.channel_type in ANNOTATION_CHANNELS and pr.kvengine == MYSQL:
# clearStack(pr, ch, resolution)
# build zslice and isotropic stack
buildImageStack(pr, ch, resolution)
# if zsclice stack then build neariso as well
if pr.datasetcfg.scalingoption == ZSLICES:
buildImageStack(pr, ch, resolution, neariso=True)
# mark channel as propagated after it is done
ch.propagate = PROPAGATED
except Exception as e:
# import pdb; pdb.set_trace()
# clearStack(pr, ch, resolution)
# RB This is a a thorny issue. anno propagate doesn't work when not PROPAGATED
# mark it as not propagated if there is an error
ch.propagate = NOT_PROPAGATED
except MySQLdb.Error as e:
# import pdb; pdb.set_trace()
# clearStack(pr, ch, resolution)
ch.propagate = NOT_PROPAGATED
logger.error("Error in building image stack {}".format(token))
raise NDWSError("Error in the building image stack {}".format(token))
def createProject(self):
project_obj = NDProject.fromName(self.project_name)
project = model_to_dict(project_obj.pr)
project['kvengine'] = REDIS
project['host'] = 'localhost'
project['s3backend'] = S3_TRUE
del project['user']
del project['dataset']
try:
response = getJson(
'https://{}/resource/dataset/{}/project/{}/'.format(
self.host, self.dataset_name, self.project_name))
if response.status_code == 404:
response = postJson(
'https://{}/resource/dataset/{}/project/{}/'.format(
self.host, self.dataset_name, self.project_name),
project)
if response.status_code != 201:
raise ValueError(
'The server returned status code {}'.format(
response.status_code))
elif (response.status_code
== 200) and (self.project_name
== response.json()['project_name']):
self.logger.warning(
"Project already exists. Skipping Project creation")
else:
raise ValueError(
'The server returned status code {} and content {}'.format(
response.status_code, response.json()))
except Exception as e:
self.logger.error(e)
sys.exit(0)
def createChannel(self, channel_name):
project = NDProject.fromName(self.project_name)
channel_obj = project.getChannelObj(channel_name)
channel = model_to_dict(channel_obj.ch)
del channel['id']
del channel['project']
# del channel['user']
try:
response = getJson(
'https://{}/resource/dataset/{}/project/{}/channel/{}/'.format(
self.host, self.dataset_name, self.project_name,
channel_name))
if response.status_code == 404:
response = postJson(
'https://{}/resource/dataset/{}/project/{}/channel/{}/'.
format(self.host, self.dataset_name, self.project_name,
channel_name), channel)
if response.status_code != 201:
raise ValueError(
'The server returned status code {}'.format(
response.status_code))
elif (response.status_code
== 200) and (channel_name
== response.json()['channel_name']):
self.logger.warning(
"Channel already exists. Skipping Channel creation")
else:
raise ValueError(
'The server returned status code {} and content {}'.format(
response.status_code, response.json()))
except Exception as e:
self.logger.error(e)
sys.exit(0)
def delete(self, request, dataset_name, project_name):
try:
pr = NDProject.fromName(project_name)
pr.delete()
return HttpResponse(status=204)
except Exception as e:
return HttpResponseBadRequest()
def buildStack(token, channel_name, resolution=None):
"""Wrapper for the different datatypes """
pr = NDProject.fromTokenName(token)
ch = pr.getChannelObj(channel_name)
try:
# if ch.channel_type in ANNOTATION_CHANNELS and pr.kvengine == MYSQL:
# clearStack(pr, ch, resolution)
# build zslice and isotropic stack
buildImageStack(pr, ch, resolution)
# if zsclice stack then build neariso as well
if pr.datasetcfg.scalingoption == ZSLICES:
buildImageStack(pr, ch, resolution, neariso=True)
# mark channel as propagated after it is done
ch.propagate = PROPAGATED
except Exception as e:
# import pdb; pdb.set_trace()
# clearStack(pr, ch, resolution)
# RB This is a a thorny issue. anno propagate doesn't work when not PROPAGATED
# mark it as not propagated if there is an error
ch.propagate = NOT_PROPAGATED
except MySQLdb.Error as e:
# import pdb; pdb.set_trace()
# clearStack(pr, ch, resolution)
ch.propagate = NOT_PROPAGATED
logger.error("Error in building image stack {}".format(token))
raise NDWSError("Error in the building image stack {}".format(token))
def topkeys(webargs):
"""Return the most frequent keys in the database."""
[token, channel, otherargs] = webargs.split('/', 2)
# get the project
proj = NDProject.fromTokenName(token)
# get the channel
ch = ndproj.NDChannel(proj, channel)
# and the ramon database
with closing(RamonDB(proj)) as rdb:
m = re.search("topkeys/(\d+)/(?:type/(\d+)/)?", otherargs)
# if we have a count clause use
if m:
count = int(m.group(1))
if m.group(2):
anntype = int(m.group(2))
else:
anntype = None
else:
count = 10
anntype = None
topkeys = rdb.getTopKeys(ch, count, anntype)
return json.dumps(topkeys)
def get(self, request, dataset_name, project_name):
try:
pr = NDProject.fromName(project_name)
return HttpResponse(pr.serialize(), content_type='application/json')
except Project.DoesNotExist as e:
return HttpResponseNotFound()
except Exception as e:
return HttpResponseBadRequest()
def get(self, request, dataset_name, project_name):
try:
pr = NDProject.fromName(project_name)
return HttpResponse(pr.serialize(),
content_type='application/json')
except Project.DoesNotExist as e:
return HttpResponseNotFound()
except Exception as e:
return HttpResponseBadRequest()
def getProject(self):
try:
response = getJson('https://{}/resource/dataset/{}/project/{}/'.format(self.host, self.dataset_name, self.project_name))
project_json = response.json()
del project_json['user']
del project_json['dataset']
return NDProject.fromJson(self.dataset_name, json.dumps(project_json))
except Exception as e:
self.logger.error(e)
raise e
def post(self, request, dataset_name, project_name):
try:
pr = NDProject.fromJson(dataset_name, request.body)
if request.user.is_authenticated():
pr.user_id = request.user.id
else:
pr.user_id = User.objects.get(username='******').id
pr.create()
return HttpResponse(status=201)
except Exception as e:
return HttpResponseBadRequest()
def post(self, request, dataset_name, project_name):
try:
pr = NDProject.fromJson(dataset_name, request.body)
if request.user.is_authenticated():
pr.user_id = request.user.id
else:
pr.user_id = User.objects.get(username='******').id
pr.create()
return HttpResponse(status=201)
except Exception as e:
return HttpResponseBadRequest()
def getProject(self):
try:
response = getJson(
'https://{}/resource/dataset/{}/project/{}/'.format(
self.host, self.dataset_name, self.project_name))
project_json = response.json()
del project_json['user']
del project_json['dataset']
return NDProject.fromJson(self.dataset_name,
json.dumps(project_json))
except Exception as e:
self.logger.error(e)
raise e
def createTestDB ( project_name, channel_list=['unit_anno'], channel_type=ANNOTATION, channel_datatype=UINT32, public=PUBLIC_TRUE, ximagesize=10000, yimagesize=10000, zimagesize=1000, xvoxelres=4.0, yvoxelres=4.0, zvoxelres=3.0, scalingoption=ZSLICES, scalinglevels=5, readonly=READONLY_FALSE, propagate=NOT_PROPAGATED, window=[0,0], time=[0,15], default=False, nd_version=ND_VERSION, token_name='unittest', user='******', dataset_name="unittest", base_resolution=0):
"""Create a unit test data base on the specified sit and name"""
# setting s3backend to true if Redis and creating s3 bucket and dynamo table
if KV_ENGINE == REDIS:
s3backend = S3_TRUE
CuboidIndexDB.createTable()
CuboidBucket.createBucket()
else:
s3backend = S3_FALSE
unituser = User.objects.get(username=user)
ds = NDDataset(Dataset ( dataset_name=dataset_name, user=unituser, ximagesize=ximagesize, yimagesize=yimagesize, zimagesize=zimagesize, xoffset=0, yoffset=0, zoffset=1, xvoxelres=xvoxelres, yvoxelres=yvoxelres, zvoxelres=zvoxelres, scalingoption=scalingoption, scalinglevels=scalinglevels, public=PUBLIC_TRUE, dataset_description="Unit test" ) )
ds.create()
# make the project entry
pr = NDProject(Project(project_name=project_name, project_description='Unit test', user=unituser, dataset=ds._ds, nd_version=nd_version, host='localhost', kvengine=KV_ENGINE, kvserver=KV_SERVER, s3backend=s3backend))
pr.create()
# create a token
tk = NDToken(Token (token_name = token_name, user = unituser, token_description = 'Unit test token', project_id = pr.project_name, public = public))
tk.create()
# get the correct object for the kvengine
# pd = NDProjectsDB.getProjDB(NDProjectpr)
# create the database
# pd.newNDProject()
try:
for channel_name in channel_list:
ch = NDChannel(Channel (channel_name=channel_name, channel_type=channel_type, channel_datatype=channel_datatype, channel_description='Unit test channel', project_id=pr.project_name, readonly=readonly, propagate=propagate, resolution=base_resolution, exceptions=1, starttime=time[0], endtime=time[1] ,startwindow=window[0], endwindow=window[1], default=default))
# create a channel
ch.create()
# create the channel table
# pd.newNDChannel(ch.channel_name)
except Exception, e:
print(e)
raise e
def createChannel(self, channel_name):
project = NDProject.fromName(self.project_name)
channel_obj = project.getChannelObj(channel_name)
channel = model_to_dict(channel_obj.ch)
del channel['id']
del channel['project']
# del channel['user']
try:
response = getJson('https://{}/resource/dataset/{}/project/{}/channel/{}/'.format(self.host, self.dataset_name, self.project_name, channel_name))
if response.status_code == 404:
response = postJson('https://{}/resource/dataset/{}/project/{}/channel/{}/'.format(self.host, self.dataset_name, self.project_name, channel_name), channel)
if response.status_code != 201:
raise ValueError('The server returned status code {}'.format(response.status_code))
elif (response.status_code == 200) and (channel_name == response.json()['channel_name']):
self.logger.warning("Channel already exists. Skipping Channel creation")
else:
raise ValueError('The server returned status code {} and content {}'.format(response.status_code, response.json()))
except Exception as e:
self.logger.error(e)
sys.exit(0)
def getAnnotation(webargs):
"""Fetch a RAMON object as HDF5 by object identifier"""
[token, channel, otherargs] = webargs.split('/', 2)
# get the project
proj = NDProject.fromTokenName(token)
ch = ndproj.NDChannel(proj, channel)
# and the ramon database
with closing(RamonDB(proj)) as rdb:
try:
option_args = otherargs.split('/')
annoid = int(option_args[0])
annobj = getAnnoDictById(ch, annoid, proj, rdb)
if 'boundingbox' in option_args:
m = re.search("boundingbox/([\d]+)/", otherargs)
if m:
resolution = int(m.groups()[0])
else:
resolution = ch.resolution
with closing(SpatialDB(proj)) as db:
bbcorner, bbdim = db.getBoundingBox(
ch, [annoid], resolution)
annobj[annoid]['bbcorner'] = bbcorner
annobj[annoid]['bbdim'] = bbdim
jsonstr = json.dumps(annobj)
except Exception, e:
logger.error("JSON get ID {}. Error {}. Webargs {}.".format(
option_args[0], e, webargs))
raise NDWSError("JSON Get ID {}. Error {}.".format(
option_args[0], e))
return jsonstr
def createProject(self):
project_obj = NDProject.fromName(self.project_name)
project = model_to_dict(project_obj.pr)
project['kvengine'] = REDIS
project['host'] = 'localhost'
project['s3backend'] = S3_TRUE
del project['user']
del project['dataset']
try:
response = getJson('https://{}/resource/dataset/{}/project/{}/'.format(self.host, self.dataset_name, self.project_name))
if response.status_code == 404:
response = postJson('https://{}/resource/dataset/{}/project/{}/'.format(self.host, self.dataset_name, self.project_name), project)
if response.status_code != 201:
raise ValueError('The server returned status code {}'.format(response.status_code))
elif (response.status_code == 200) and (self.project_name == response.json()['project_name']):
self.logger.warning("Project already exists. Skipping Project creation")
else:
raise ValueError('The server returned status code {} and content {}'.format(response.status_code, response.json()))
except Exception as e:
self.logger.error(e)
sys.exit(0)
def getAnnotation ( webargs ):
"""Fetch a RAMON object as HDF5 by object identifier"""
[token, channel, otherargs] = webargs.split('/', 2)
# get the project
proj = NDProject.fromTokenName(token)
ch = ndproj.NDChannel(proj, channel)
# and the ramon database
with closing ( RamonDB(proj) ) as rdb:
try:
option_args = otherargs.split('/')
annoid = int(option_args[0])
annobj = getAnnoDictById ( ch, annoid, proj, rdb )
if 'boundingbox' in option_args:
m = re.search ( "boundingbox/([\d]+)/", otherargs )
if m:
resolution = int(m.groups()[0])
else:
resolution = ch.resolution
with closing (SpatialDB(proj)) as db:
bbcorner, bbdim = db.getBoundingBox(ch, [annoid], resolution)
annobj[annoid]['bbcorner'] = bbcorner
annobj[annoid]['bbdim'] = bbdim
jsonstr = json.dumps( annobj )
except Exception, e:
logger.error("JSON get ID {}. Error {}. Webargs {}.".format( option_args[0], e, webargs ))
raise NDWSError ("JSON Get ID {}. Error {}.".format( option_args[0], e ))
return jsonstr
def deleteTestDB ( project_name, token_name='unittest' ):
try:
# get the objects
tk = NDToken.fromName(token_name)
tk.delete()
pr = NDProject.fromName(project_name)
ds = pr.datasetcfg
# tk = Token.objects.get(token_name=token_name)
# pr = Project.objects.get(project_name=project_name)
# ds = Dataset.objects.get(dataset_name=pr.dataset_id)
# get the channel list
# channel_list = Channel.objects.filter(project_id=pr)
# get the correct object for the kvengine
# pd = NDProjectsDB.getProjDB(pr)
for ch in pr.projectChannels():
ch.delete()
# delete the channel table
# pd.deleteNDChannel(ch.channel_name)
# delete the channel
# ch.delete()
# delete the project database
# pd.deleteNDProject()
# delete the objects
pr.delete()
ds.delete()
# delete s3 bucket and dynamo table
if KV_ENGINE == REDIS:
CuboidIndexDB.deleteTable()
CuboidBucket.deleteBucket()
except Exception, e:
print(e)
raise e
def query ( webargs ):
"""Return a list of IDs that match a key=value"""
[token, channel, otherargs] = webargs.split('/', 2)
# get the project
proj = NDProject.fromTokenName(token)
# get the channel
ch = NDChannel.fromName(proj, channel)
# and the ramon database
with closing ( RamonDB(proj)) as rdb:
m = re.search ( "query/([\w]+)/([\w]+)", otherargs )
if m:
qrykey = m.group(1)
qryvalue = m.group(2)
else:
logger.error("Invalid key/value query format")
raise NDWSError ("Invalid key/value query format")
ids = rdb.getKVQuery ( ch, qrykey, qryvalue )
return json.dumps ( ids.tolist() )
def query(webargs):
"""Return a list of IDs that match a key=value"""
[token, channel, otherargs] = webargs.split('/', 2)
# get the project
proj = NDProject.fromTokenName(token)
# get the channel
ch = NDChannel.fromName(proj, channel)
# and the ramon database
with closing(RamonDB(proj)) as rdb:
m = re.search("query/([\w]+)/([\w]+)", otherargs)
if m:
qrykey = m.group(1)
qryvalue = m.group(2)
else:
logger.error("Invalid key/value query format")
raise NDWSError("Invalid key/value query format")
ids = rdb.getKVQuery(ch, qrykey, qryvalue)
return json.dumps(ids.tolist())
def deleteTestDB(project_name, token_name='unittest'):
try:
# get the objects
tk = NDToken.fromName(token_name)
tk.delete()
pr = NDProject.fromName(project_name)
ds = pr.datasetcfg
# tk = Token.objects.get(token_name=token_name)
# pr = Project.objects.get(project_name=project_name)
# ds = Dataset.objects.get(dataset_name=pr.dataset_id)
# get the channel list
# channel_list = Channel.objects.filter(project_id=pr)
# get the correct object for the kvengine
# pd = NDProjectsDB.getProjDB(pr)
for ch in pr.projectChannels():
ch.delete()
# delete the channel table
# pd.deleteNDChannel(ch.channel_name)
# delete the channel
# ch.delete()
# delete the project database
# pd.deleteNDProject()
# delete the objects
pr.delete()
ds.delete()
# delete s3 bucket and dynamo table
if KV_ENGINE == REDIS:
CuboidIndexDB.deleteTable()
CuboidBucket.deleteBucket()
except Exception, e:
print(e)
raise e
def synaptogram_view (request, webargs):
"""Render a synaptogram as a Web page"""
try:
m = re.match ("(?P<token>[\d\w]+)/(?P<channels>[\d\w,]+)/(xy|xz|yz)/(?P<resolution>[\d]+)/(?P<xlow>[\d]+),(?P<xhigh>[\d]+)/(?P<ylow>[\d]+),(?P<yhigh>[\d]+)/(?P<zlow>[\d]+),(?P<zhigh>[\d]+)/", webargs)
md = m.groupdict()
token = md['token']
chanstr = md['channels']
resolution = int(md['resolution'])
xlow = int(md['xlow'])
xhigh = int(md['xhigh'])
ylow = int(md['ylow'])
yhigh = int(md['yhigh'])
zlow = int(md['zlow'])
zhigh = int(md['zhigh'])
channels = chanstr.split(',')
# get the project
proj = NDProject.fromTokenName(token)
# and the database and then call the db function
with closing (SpatialDB(proj)) as db:
# convert to cutout coordinates
(xoffset, yoffset, zoffset) = proj.datasetcfg.get_offset(resolution)
(xlow, xhigh) = (xlow-xoffset, xhigh-xoffset)
(ylow, yhigh) = (ylow-yoffset, yhigh-yoffset)
(zlow, zhigh) = (zlow-zoffset, zhigh-zoffset)
corner = [ xlow, ylow, zlow ]
dim = [ xhigh-xlow, yhigh-ylow, zhigh-zlow ]
outputdict = {}
# get the data region for each channel
for chan in channels:
# data type on a per channel basis
ch = proj.getChannelObj(chan)
try:
cb = db.cutout ( ch, corner, dim, resolution )
# apply window for 16 bit projects
if ch.getDataType() in DTYPE_uint16:
[startwindow, endwindow] = window_range = ch.window_range
if (endwindow != 0):
cb.data = np.uint8(windowCutout(cb.data, window_range))
outputdict[chan] = []
for zslice in cb.data:
if ch.getChannelType() in ANNOTATION_CHANNELS:
# parse annotation project
imagemap = np.zeros( [ dim[1], dim[0] ], dtype=np.uint32 )
imagemap = recolor_ctype( zslice, imagemap )
img = Image.frombuffer( 'RGBA', (dim[0],dim[1]), imagemap, 'raw', 'RGBA', 0, 1 )
else:
# parse image project
img = Image.frombuffer( 'L', (dim[0], dim[1]), zslice.flatten(), 'raw', 'L', 0, 1 )
# convert to base64
fileobj = cStringIO.StringIO()
img.save(fileobj, "PNG")
fileobj.seek(0)
encodedimg = base64.b64encode(fileobj.read())
outputdict[chan].append(encodedimg)
#outputdict[chan] = cb.data.tolist()
outputdict['{}.dtype'.format(chan)] = str(cb.data.dtype)
except KeyError:
raise Exception ("Channel %s not found" % ( chan ))
outputdict['shape'] = cb.data.shape
jsonstr = json.dumps ( outputdict )
return django.http.HttpResponse(json.dumps(outputdict), content_type="application/json")
except:
raise
else:
logger.error(
"Dataset {} already exists and is different then the chosen dataset"
.format(ds.dataset_name))
return HttpResponseBadRequest(json.dumps(
"Dataset {} already exists and is different then the chosen dataset. Please choose a different dataset name"
.format(ds.dataset_name)),
content_type="application/json")
else:
ds.create()
DATASET_CREATED = True
# pr.dataset_id = ds.dataset_name
# extracting project and token
pr, tk = extractProjectDict(project_dict)
pr = NDProject.fromJson(ds.dataset_name, pr)
pr.user_id = 1
pr.kvengine = REDIS
# Checking if the posted project already exists
# Setting the foreign key for project
if Project.objects.filter(project_name=pr.project_name).exists():
stored_pr = NDProject.fromName(pr.project_name)
# Checking if the existing project is same as the posted one, here we compare their datasets since python behaves wierdly with sub-objects in other objects. this is not fool-proof but works as a good hack
tk = NDToken.fromJson(pr.project_name, tk)
tk.user_id = 1
if compareModelObjects(stored_pr.datasetcfg, pr.datasetcfg):
if Token.objects.filter(token_name=tk.token_name).exists():
stored_tk = NDToken.fromName(tk.token_name)
# tk.project_id = stored_pr.project_name
# Checking if the existing token is same as the posted one
class MaxProjCatmaid:
"""Prefetch CATMAID tiles into MndcheDB"""
def __init__(self):
self.proj = None
self.db = None
self.token = None
self.tilesz = 512
def __del__(self):
pass
def getTileXY(self, ch, res, xtile, ytile, zslice, width):
"""Cutout, return the image"""
# figure out the cutout (limit to max image size)
xstart = xtile * self.tilesz
ystart = ytile * self.tilesz
xend = min((xtile + 1) * self.tilesz,
self.proj.datasetcfg.imageSize(res)[0][0])
yend = min((ytile + 1) * self.tilesz,
self.proj.datasetcfg.imageSize(res)[0][1])
zstart = max(zslice - width, 0)
zend = min(zslice + 1 + width, self.tilesz,
self.proj.datasetcfg.imageSize(res)[0][2])
# call the mcfc interface
imageargs = '{}/{},{}/{},{}/{},{}/'.format(res, xstart, xend, ystart,
yend, zstart, zend)
cutout = ndwsrest.cutout(imageargs, ch, self.proj, self.db)
tiledata = np.amax(cutout.data, axis=0)
tiledata = ndwsrest.window(tiledata, ch)
# turn into an 8-bit image and return
return Image.frombuffer('L', (tiledata.shape[1], tiledata.shape[0]),
tiledata.flatten(), 'raw', 'L', 0, 1)
def getTile(self, webargs):
"""Either fetch the file from mndche or get a mcfc image"""
try:
# arguments of format /token/channel/(?:width:3)/slice_type/z/x_y_res.png
m = re.match(
"(\w+)/([\w+,[:\w]*]*)(?:/width:([\d+]+))?/(xy|yz|xz)/(\d+)/(\d+)_(\d+)_(\d+).png",
webargs)
[self.token, channel, widthstr,
slice_type] = [i for i in m.groups()[:4]]
[ztile, ytile, xtile, res] = [int(i) for i in m.groups()[4:]]
# extract the width as an integer
width = int(widthstr)
except Exception, e:
logger.error("Incorrect arguments for getTile {}. {}".format(
webargs, e))
raise NDWSError("Incorrect arguments for getTile {}. {}".format(
webargs, e))
self.proj = NDProject.fromTokenName(self.token)
ch = self.proj.getChannelObj(channel)
with closing(SpatialDB(self.proj)) as self.db:
tile = None
if tile == None:
if slice_type == 'xy':
img = self.getTileXY(ch, res, xtile, ytile, ztile, width)
# elif slice_type == 'xz':
# img = self.getTileXZ(res, xtile, ytile, ztile, width)
# elif slice_type == 'yz':
# img = self.getTileYZ(res, xtile, ytile, ztile, width)
else:
logger.error(
"Requested illegal image plane {}. Should be xy, xz, yz."
.format(slice_type))
raise NDWSError(
"Requested illegal image plane {}. Should be xy, xz, yz."
.format(slice_type))
fobj = cStringIO.StringIO()
img.save(fobj, "PNG")
else:
fobj = cStringIO.StringIO(tile)
fobj.seek(0)
return fobj
class SimpleCatmaid:
""" Prefetch CATMAID tiles into MndcheDB """
def __init__(self):
""" Bind the mndche """
self.proj = None
self.channel = None
self.tilesz = 512
# make the memcache connection
self.mc = pylibmc.Client(["127.0.0.1"],
binary=True,
behaviors={
"tcp_nodelay": True,
"ketama": True
})
def __del__(self):
pass
def buildKey(self, res, slice_type, xtile, ytile, ztile, timetile,
filterlist):
return 'simple/{}/{}/{}/{}/{}/{}/{}/{}/{}'.format(
self.token, self.channel, slice_type, res, xtile, ytile, ztile,
timetile, filterlist)
def cacheMissXY(self, res, xtile, ytile, ztile, timetile, filterlist):
"""On a miss. Cutout, return the image and load the cache in a background thread"""
# make sure that the tile size is aligned with the cubedim
if self.tilesz % self.proj.datasetcfg.cubedim[res][
0] != 0 or self.tilesz % self.proj.datasetcfg.cubedim[res][1]:
logger.error("Illegal tile size. Not aligned")
raise NDWSError("Illegal tile size. Not aligned")
# figure out the cutout (limit to max image size)
xstart = xtile * self.tilesz
ystart = ytile * self.tilesz
xend = min((xtile + 1) * self.tilesz,
self.proj.datasetcfg.get_imagesize(res)[0])
yend = min((ytile + 1) * self.tilesz,
self.proj.datasetcfg.get_imagesize(res)[1])
# get an xy image slice
if timetile is None:
imageargs = '{}/{}/{}/{},{}/{},{}/{}/'.format(
self.channel, 'xy', res, xstart, xend, ystart, yend, ztile)
else:
imageargs = '{}/{}/{}/{},{}/{},{}/{}/{}/'.format(
self.channel, 'xy', res, xstart, xend, ystart, yend, ztile,
timetile)
# if filter list exists then add on for downstream processing
if filterlist:
imageargs = imageargs + 'filter/{}/'.format(filterlist)
cb = ndwsrest.imgSlice(imageargs, self.proj, self.db)
if cb.data.shape != (1, self.tilesz,
self.tilesz) and cb.data.shape != (
1, 1, self.tilesz, self.tilesz):
if timetile is None:
tiledata = np.zeros((1, self.tilesz, self.tilesz),
cb.data.dtype)
tiledata[0, 0:((yend - 1) % self.tilesz + 1),
0:((xend - 1) % self.tilesz + 1)] = cb.data[0, :, :]
else:
tiledata = np.zeros((1, 1, self.tilesz, self.tilesz),
cb.data.dtype)
tiledata[0, 0, 0:((yend - 1) % self.tilesz + 1),
0:((xend - 1) % self.tilesz + 1)] = cb.data[0,
0, :, :]
cb.data = tiledata
return cb.xyImage()
def cacheMissXZ(self, res, xtile, ytile, ztile, timetile, filterlist):
"""On a miss. Cutout, return the image and load the cache in a background thread"""
# make sure that the tile size is aligned with the cubedim
if self.tilesz % self.proj.datasetcfg.cubedim[res][
0] != 0 or self.tilesz % self.proj.datasetcfg.get_cubedim(
res)[2]:
raise ("Illegal tile size. Not aligned")
# figure out the cutout (limit to max image size)
xstart = xtile * self.tilesz
xend = min((xtile + 1) * self.tilesz,
self.proj.datasetcfg.get_imagesize(res)[0])
# OK this weird but we have to choose a convention. xtile ytile ztile refere to the URL request. So ztile is ydata
# but xstart, zstart..... etc. refer to ndstore coordinates for the cutout.
#
# z cutouts need to get rescaled
# we'll map to the closest pixel range and tolerate one pixel error at the boundary
# scalefactor = zvoxel / yvoxel
scalefactor = self.proj.datasetcfg.get_voxelres(
res)[2] / self.proj.datasetcfg.get_voxelres(res)[1]
zoffset = self.proj.datasetcfg.get_offset(res)[2]
ztilestart = int((ytile * self.tilesz) / scalefactor) + zoffset
zstart = max(ztilestart, zoffset)
ztileend = int(math.ceil(
(ytile + 1) * self.tilesz / scalefactor)) + zoffset
zend = min(ztileend, self.proj.datasetcfg.get_imagesize(res)[2] + 1)
# get an xz image slice
if timetile is None:
imageargs = '{}/{}/{}/{},{}/{}/{},{}/'.format(
self.channel, 'xz', res, xstart, xend, ztile, zstart, zend)
else:
imageargs = '{}/{}/{}/{},{}/{}/{},{}/{}/'.format(
self.channel, 'xz', res, xstart, xend, ztile, zstart, zend,
timetile)
if filterlist:
imageargs = imageargs + 'filter/{}/'.format(filterlist)
cb = ndwsrest.imgSlice(imageargs, self.proj, self.db)
# scale by the appropriate amount
if cb.data.shape != (ztileend - ztilestart, 1,
self.tilesz) and cb.data.shape != (
1, ztileend - ztilestart, 1, self.tilesz):
if timetile is None:
tiledata = np.zeros((ztileend - ztilestart, 1, self.tilesz),
cb.data.dtype)
tiledata[0:zend - zstart, 0,
0:((xend - 1) % self.tilesz + 1)] = cb.data[:, 0, :]
else:
tiledata = np.zeros((1, ztileend - ztilestart, 1, self.tilesz),
cb.data.dtype)
tiledata[0, 0:zend - zstart, 0,
0:((xend - 1) % self.tilesz + 1)] = cb.data[0, :,
0, :]
cb.data = tiledata
return cb.xzImage(scalefactor)
def cacheMissYZ(self, res, xtile, ytile, ztile, timetile, filterlist):
""" On a miss. Cutout, return the image and load the cache in a background thread """
# make sure that the tile size is aligned with the cubedim
if self.tilesz % self.proj.datasetcfg.get_cubedim(
res)[1] != 0 or self.tilesz % self.proj.datasetcfg.get_cubedim(
res)[2]:
raise ("Illegal tile size. Not aligned")
# figure out the cutout (limit to max image size)
ystart = ytile * self.tilesz
yend = min((ytile + 1) * self.tilesz,
self.proj.datasetcfg.get_imagesize(res)[1])
# z cutouts need to get rescaled
# we'll map to the closest pixel range and tolerate one pixel error at the boundary
# Scalefactor = zvoxel / xvoxel
scalefactor = self.proj.datasetcfg.get_voxelres(
res)[2] / self.proj.datasetcfg.get_voxelres(res)[0]
zoffset = self.proj.datasetcfg.get_offset(res)[2]
ztilestart = int((ztile * self.tilesz) / scalefactor) + zoffset
zstart = max(ztilestart, zoffset)
ztileend = int(math.ceil(
(ztile + 1) * self.tilesz / scalefactor)) + zoffset
zend = min(ztileend, self.proj.datasetcfg.get_imagesize(res)[2] + 1)
# get an yz image slice
if timetile is None:
imageargs = '{}/{}/{}/{}/{},{}/{},{}/'.format(
self.channel, 'yz', res, xtile, ystart, yend, zstart, zend)
else:
imageargs = '{}/{}/{}/{}/{},{}/{},{}/{}/'.format(
self.channel, 'yz', res, xtile, ystart, yend, zstart, zend,
timetile)
if filterlist:
imageargs = imageargs + 'filter/{}/'.format(filterlist)
cb = ndwsrest.imgSlice(imageargs, self.proj, self.db)
# scale by the appropriate amount
if cb.data.shape != (ztileend - ztilestart, self.tilesz,
1) and cb.data.shape != (1, ztileend - ztilestart,
self.tilesz, 1):
if timetile is None:
tiledata = np.zeros((ztileend - ztilestart, self.tilesz, 1),
cb.data.dtype)
tiledata[0:zend - zstart, 0:((yend - 1) % self.tilesz + 1),
0] = cb.data[:, :, 0]
else:
tiledata = np.zeros((1, ztileend - ztilestart, self.tilesz, 1),
cb.data.dtype)
tiledata[0, 0:zend - zstart, 0:((yend - 1) % self.tilesz + 1),
0] = cb.data[0, :, :, 0]
cb.data = tiledata
return cb.yzImage(scalefactor)
def getTile(self, webargs):
"""Fetch the file from mndche or get a cutout from the database"""
try:
# argument of format token/channel/slice_type/z/y_x_res.png
# p = re.compile("(\w+)/([\w+,]*?)/(xy|yz|xz|)/(\d+/)?(\d+)/(\d+)_(\d+)_(\d+).png")
p = re.compile(
"(\w+)/([\w+,]*?)/(xy|yz|xz|)/(?:filter/([\d,]+)/)?(?:(\d+)/)?(\d+)/(\d+)_(\d+)_(\d+).png"
)
m = p.match(webargs)
[self.token, self.channel, slice_type,
filterlist] = [i for i in m.groups()[:4]]
[timetile, ztile, ytile, xtile, res] = [
int(i.strip('/')) if i is not None else None
for i in m.groups()[4:]
]
except Exception, e:
logger.error("Incorrect arguments give for getTile {}. {}".format(
webargs, e))
raise NDWSError(
"Incorrect arguments given for getTile {}. {}".format(
webargs, e))
self.proj = NDProject.fromTokenName(self.token)
with closing(SpatialDB(self.proj)) as self.db:
# memcache key
mckey = self.buildKey(res, slice_type, xtile, ytile, ztile,
timetile, filterlist)
# if tile is in memcache, return it
tile = self.mc.get(mckey)
tile = None
if tile == None:
if slice_type == 'xy':
img = self.cacheMissXY(res, xtile, ytile, ztile, timetile,
filterlist)
elif slice_type == 'xz':
img = self.cacheMissXZ(res, xtile, ytile, ztile, timetile,
filterlist)
elif slice_type == 'yz':
img = self.cacheMissYZ(res, ztile, xtile, ytile, timetile,
filterlist)
else:
logger.error(
"Requested illegal image plance {}. Should be xy, xz, yz."
.format(slice_type))
raise NDWSError(
"Requested illegal image plance {}. Should be xy, xz, yz."
.format(slice_type))
fobj = cStringIO.StringIO()
img.save(fobj, "PNG")
self.mc.set(mckey, fobj.getvalue())
else:
print "Hit"
fobj = cStringIO.StringIO(tile)
fobj.seek(0)
return fobj
if Dataset.objects.filter(dataset_name = ds.dataset_name).exists():
stored_ds = NDDataset.fromName(ds.dataset_name)
if compareModelObjects(stored_ds, ds):
pass
# pr.dataset_id = stored_ds.dataset_name
else:
logger.error("Dataset {} already exists and is different then the chosen dataset".format(ds.dataset_name))
return HttpResponseBadRequest(json.dumps("Dataset {} already exists and is different then the chosen dataset. Please choose a different dataset name".format(ds.dataset_name)), content_type="application/json")
else:
ds.create()
DATASET_CREATED = True
# pr.dataset_id = ds.dataset_name
# extracting project and token
pr, tk = extractProjectDict(project_dict)
pr = NDProject.fromJson(ds.dataset_name, pr)
pr.user_id = 1
pr.kvengine = REDIS
# Checking if the posted project already exists
# Setting the foreign key for project
if Project.objects.filter(project_name = pr.project_name).exists():
stored_pr = NDProject.fromName(pr.project_name)
# Checking if the existing project is same as the posted one, here we compare their datasets since python behaves wierdly with sub-objects in other objects. this is not fool-proof but works as a good hack
tk = NDToken.fromJson(pr.project_name, tk)
tk.user_id = 1
if compareModelObjects(stored_pr.datasetcfg, pr.datasetcfg):
if Token.objects.filter(token_name = tk.token_name).exists():
stored_tk = NDToken.fromName(tk.token_name)
# tk.project_id = stored_pr.project_name
# Checking if the existing token is same as the posted one
def createTestDB(project_name,
channel_list=['unit_anno'],
channel_type=ANNOTATION,
channel_datatype=UINT32,
public=PUBLIC_TRUE,
ximagesize=10000,
yimagesize=10000,
zimagesize=1000,
xvoxelres=4.0,
yvoxelres=4.0,
zvoxelres=3.0,
scalingoption=ZSLICES,
scalinglevels=5,
readonly=READONLY_FALSE,
propagate=NOT_PROPAGATED,
window=[0, 0],
time=[0, 15],
default=False,
nd_version=ND_VERSION,
token_name='unittest',
user='******',
dataset_name="unittest",
base_resolution=0):
"""Create a unit test data base on the specified sit and name"""
# setting s3backend to true if Redis and creating s3 bucket and dynamo table
if KV_ENGINE == REDIS:
s3backend = S3_TRUE
CuboidIndexDB.createTable()
CuboidBucket.createBucket()
else:
s3backend = S3_FALSE
unituser = User.objects.get(username=user)
ds = NDDataset(
Dataset(dataset_name=dataset_name,
user=unituser,
ximagesize=ximagesize,
yimagesize=yimagesize,
zimagesize=zimagesize,
xoffset=0,
yoffset=0,
zoffset=1,
xvoxelres=xvoxelres,
yvoxelres=yvoxelres,
zvoxelres=zvoxelres,
scalingoption=scalingoption,
scalinglevels=scalinglevels,
public=PUBLIC_TRUE,
dataset_description="Unit test"))
ds.create()
# make the project entry
pr = NDProject(
Project(project_name=project_name,
project_description='Unit test',
user=unituser,
dataset=ds._ds,
nd_version=nd_version,
host='localhost',
kvengine=KV_ENGINE,
kvserver=KV_SERVER,
s3backend=s3backend))
pr.create()
# create a token
tk = NDToken(
Token(token_name=token_name,
user=unituser,
token_description='Unit test token',
project_id=pr.project_name,
public=public))
tk.create()
# get the correct object for the kvengine
# pd = NDProjectsDB.getProjDB(NDProjectpr)
# create the database
# pd.newNDProject()
try:
for channel_name in channel_list:
ch = NDChannel(
Channel(channel_name=channel_name,
channel_type=channel_type,
channel_datatype=channel_datatype,
channel_description='Unit test channel',
project_id=pr.project_name,
readonly=readonly,
propagate=propagate,
resolution=base_resolution,
exceptions=1,
starttime=time[0],
endtime=time[1],
startwindow=window[0],
endwindow=window[1],
default=default))
# create a channel
ch.create()
# create the channel table
# pd.newNDChannel(ch.channel_name)
except Exception, e:
print(e)
raise e
def get(self, request):
try:
return HttpResponse(json.dumps(NDProject.public_list()), content_type='application/json')
except Exception as e:
return HttpResponseBadRequest()
def genGraphRAMON(token_name,
channel,
graphType="graphml",
xmin=0,
xmax=0,
ymin=0,
ymax=0,
zmin=0,
zmax=0):
"""Generate the graph based on different inputs"""
# converting all parameters to integers
[xmin, xmax, ymin, ymax, zmin,
zmax] = [int(i) for i in [xmin, xmax, ymin, ymax, zmin, zmax]]
proj = NDProject.fromTokenName(token_name)
with closing(ramondb.RamonDB(proj)) as db:
ch = proj.getChannelObj(channel)
resolution = ch.resolution
cubeRestrictions = xmin + xmax + ymin + ymax + zmin + zmax
matrix = []
# assumption that the channel is a neuron channel
if cubeRestrictions != 0:
idslist = getAnnoIds(proj, ch, resolution, xmin, xmax, ymin, ymax,
zmin, zmax)
else:
# entire cube
[xmax, ymax, zmax] = proj.datasetcfg.get_imagesize(resolution)
idslist = getAnnoIds(proj, ch, resolution, xmin, xmax, ymin, ymax,
zmin, zmax)
if idslist.size == 0:
logger.error(
"Area specified x:{},{} y:{},{} z:{},{} is empty".format(
xmin, xmax, ymin, ymax, zmin, zmax))
raise NDWSError(
"Area specified x:{},{} y:{},{} z:{},{} is empty".format(
xmin, xmax, ymin, ymax, zmin, zmax))
annos = {}
for i in idslist:
tmp = db.getAnnotation(ch, i)
if int(db.annodb.getAnnotationKV(
ch, i)['ann_type']) == annotation.ANNO_SYNAPSE:
annos[i] = [
int(s) for s in tmp.getField('segments').split(',')
]
# create and export graph
outputGraph = nx.Graph()
for key in annos:
outputGraph.add_edges_from([tuple(annos[key])])
try:
f = tempfile.NamedTemporaryFile()
if graphType.upper() == "GRAPHML":
nx.write_graphml(outputGraph, f)
elif graphType.upper() == "ADJLIST":
nx.write_adjlist(outputGraph, f)
elif graphType.upper() == "EDGELIST":
nx.write_edgelist(outputGraph, f)
elif graphType.upper() == "GEXF":
nx.write_gexf(outputGraph, f)
elif graphType.upper() == "GML":
nx.write_gml(outputGraph, f)
elif graphType.upper() == "GPICKLE":
nx.write_gpickle(outputGraph, f)
elif graphType.upper() == "YAML":
nx.write_yaml(outputGraph, f)
elif graphType.upper() == "PAJEK":
nx.write_net(outputGraph, f)
else:
nx.write_graphml(outputGraph, f)
f.flush()
f.seek(0)
except:
logger.error(
"Internal file error in creating/editing a NamedTemporaryFile")
f.close()
raise NDWSError(
"Internal file error in creating/editing a NamedTemporaryFile")
return (f, graphType.lower())
def get(self, request):
try:
return HttpResponse(json.dumps(NDProject.public_list()),
content_type='application/json')
except Exception as e:
return HttpResponseBadRequest()
class MCFCCatmaid:
"""Prefetch CATMAID tiles into MndcheDB"""
def __init__(self):
"""Bind the mndche"""
self.proj = None
self.db = None
self.token = None
self.tilesz = 512
self.colors = ('C', 'M', 'Y', 'R', 'G', 'B')
self.channel_list = None
# make the mndche connection
self.mc = pylibmc.Client(["127.0.0.1"],
binary=True,
behaviors={
"tcp_nodelay": True,
"ketama": True
})
def __del__(self):
pass
def buildKey(self, res, xtile, ytile, zslice):
return 'mcfc/{}/{}/{}/{}/{}/{}/{}'.format(self.token,
','.join(self.channel_list),
','.join(self.colors), res,
xtile, ytile, zslice)
def cacheMissXY(self, res, xtile, ytile, zslice):
"""On a miss. Cutout, return the image and load the cache in a background thread"""
# figure out the cutout (limit to max image size)
xstart = xtile * self.tilesz
ystart = ytile * self.tilesz
xend = min((xtile + 1) * self.tilesz,
self.proj.datasetcfg.get_imagesize(res)[0])
yend = min((ytile + 1) * self.tilesz,
self.proj.datasetcfg.get_imagesize(res)[1])
# call the mcfc interface
imageargs = '{}/{},{}/{},{}/{},{}/'.format(res, xstart, xend, ystart,
yend, zslice, zslice + 1)
tiledata = None
for index, channel_name in enumerate(self.channel_list):
ch = self.proj.getChannelObj(channel_name)
cutout = ndwsrest.cutout(imageargs, ch, self.proj, self.db)
# initialize the tiledata by type
if tiledata == None:
tiledata = np.zeros(
(len(self.channel_list), cutout.data.shape[0], self.tilesz,
self.tilesz),
dtype=cutout.data.dtype)
tiledata[index, 0, 0:((yend - 1) % self.tilesz + 1),
0:((xend - 1) % self.tilesz + 1)] = cutout.data[0, :, :]
tiledata[index, :] = ndwsrest.window(tiledata[index, :], ch)
# We have an compound array. Now color it.
return mcfcPNG(
tiledata.reshape(
(tiledata.shape[0], tiledata.shape[2], tiledata.shape[3])),
self.colors)
def cacheMissXZ(self, res, xtile, yslice, ztile):
"""On a miss. Cutout, return the image and load the cache in a background thread"""
# figure out the cutout (limit to max image size)
xstart = xtile * self.tilesz
xend = min((xtile + 1) * self.tilesz,
self.proj.datasetcfg.get_imagesize(res)[0])
# z cutouts need to get rescaled
# we'll map to the closest pixel range and tolerate one pixel error at the boundary
scalefactor = self.proj.datasetcfg.get_scale(res)['xz']
zoffset = self.proj.datasetcfg.get_offset(res)[2]
ztilestart = int((ztile * self.tilesz) / scalefactor) + zoffset
zstart = max(ztilestart, zoffset)
ztileend = int(math.ceil(
((ztile + 1) * self.tilesz) / scalefactor)) + zoffset
zend = min(ztileend, self.proj.datasetcfg.get_imagesize(res)[2])
# call the mcfc interface
imageargs = '{}/{},{}/{},{}/{},{}/'.format(res, xstart, xend, yslice,
yslice + 1, zstart, zend)
tiledata = None
for index, channel_name in enumerate(self.channel_list):
ch = self.proj.getChannelObj(channel_name)
cutout = ndwsrest.cutout(imageargs, ch, self.proj, self.db)
# initialize the tiledata by type
if tiledata == None:
tiledata = np.zeros((len(self.channel_list), zend - zstart,
cutout.data.shape[1], self.tilesz),
dtype=cutout.data.dtype)
tiledata[index, 0:zend - zstart, 0,
0:((xend - 1) % self.tilesz + 1)] = cutout.data[:, 0, :]
tiledata = ndwsrest.window(tiledata, ch)
# We have an compound array. Now color it.
img = mcfc.mcfcPNG(
tiledata.reshape(
(tiledata.shape[0], tiledata.shape[1], tiledata.shape[3])),
self.colors)
return img.resize((self.tilesz, self.tilesz))
def cacheMissYZ(self, res, xtile, ytile, ztile):
"""On a miss. Cutout, return the image and load the cache in a background thread"""
# figure out the cutout (limit to max image size)
ystart = ytile * self.tilesz
yend = min((ytile + 1) * self.tilesz,
self.proj.datasetcfg.get_imagesize(res)[1])
# z cutouts need to get rescaled
# we'll map to the closest pixel range and tolerate one pixel error at the boundary
scalefactor = self.proj.datasetcfg.get_scale(res)['yz']
zoffset = self.proj.datasetcfg.get_offset(res)[2]
ztilestart = int((ztile * self.tilesz) / scalefactor) + zoffset
zstart = max(ztilestart, zoffset)
ztileend = int(math.ceil(
((ztile + 1) * self.tilesz) / scalefactor)) + zoffset
zend = min(ztileend, self.proj.datasetcfg.get_imagesize(res)[2])
# call the mcfc interface
imageargs = '{}/{},{}/{},{}/{},{}/'.format(res, xtile, xtile + 1,
ystart, yend, zstart, zend)
tiledata = None
for index, channel_name in enumerate(self.channel_list):
ch = self.proj.getChannelObj(channel_name)
cutout = ndwsrest.cutout(imageargs, ch, self.proj, self.db)
# initialize the tiledata by type
if tiledata == None:
tiledata = np.zeros(
(len(self.channel_list), ztileend - ztilestart,
self.tilesz, cutout.data.shape[2]),
dtype=cutout.data.dtype)
tiledata[index, 0:zend - zstart, 0:((yend - 1) % self.tilesz + 1),
0] = cutout.data[:, :, 0]
tiledata = ndwsrest.window(tiledata, ch)
# We have an compound array. Now color it.
img = mcfc.mcfcPNG(
tiledata.reshape(
(tiledata.shape[0], tiledata.shape[1], tiledata.shape[2])),
self.colors)
return img.resize((self.tilesz, self.tilesz))
def getTile(self, webargs):
"""Either fetch the file from mndche or get a mcfc image"""
try:
# arguments of format /token/channel/slice_type/z/x_y_res.png
m = re.match(
"(\w+)/([\w+,[:\w]*]*)/(xy|yz|xz)/(\d+)/(\d+)_(\d+)_(\d+).png",
webargs)
[self.token, channels, slice_type] = [i for i in m.groups()[:3]]
[ztile, ytile, xtile, res] = [int(i) for i in m.groups()[3:]]
#self.channel_list, self.colors = zip(*[i.groups() for i in map(re.compile("(\w+):(\w+)").match, re.split(',', channels))])
# check for channel_name:color and put them in the designated list
try:
self.channel_list, colors = zip(
*re.findall("(\w+)[:]?(\w)?", channels))
# checking for a non-empty list
if not not filter(None, colors):
# if it is a mixed then replace the missing ones with the existing schema
self.colors = [
b if a is u'' else a
for a, b in zip(colors, self.colors)
]
except Exception, e:
logger.error(
"Incorrect channel formst for getTile {}. {}".format(
channels, e))
raise NDWSError(
"Incorrect channel format for getTile {}. {}".format(
channels, e))
#self.colors = []
except Exception, e:
logger.error("Incorrect arguments for getTile {}. {}".format(
webargs, e))
raise NDWSError("Incorrect arguments for getTile {}. {}".format(
webargs, e))
self.proj = NDProject.fromTokenName(self.token)
with closing(SpatialDB(self.proj)) as self.db:
# mndche key
mckey = self.buildKey(res, xtile, ytile, ztile)
# if tile is in mndche, return it
tile = self.mc.get(mckey)
if tile == None:
if slice_type == 'xy':
img = self.cacheMissXY(res, xtile, ytile, ztile)
elif slice_type == 'xz':
img = self.cacheMissXZ(res, xtile, ytile, ztile)
elif slice_type == 'yz':
img = self.cacheMissYZ(res, xtile, ytile, ztile)
else:
logger.error(
"Requested illegal image plance {}. Should be xy, xz, yz."
.format(slice_type))
raise NDWSError(
"Requested illegal image plance {}. Should be xy, xz, yz."
.format(slice_type))
fobj = cStringIO.StringIO()
img.save(fobj, "PNG")
self.mc.set(mckey, fobj.getvalue())
else:
fobj = cStringIO.StringIO(tile)
fobj.seek(0)
return fobj
def genGraphRAMON(token_name, channel, graphType="graphml", xmin=0, xmax=0, ymin=0, ymax=0, zmin=0, zmax=0):
"""Generate the graph based on different inputs"""
# converting all parameters to integers
[xmin, xmax, ymin, ymax, zmin, zmax] = [int(i) for i in [xmin, xmax, ymin, ymax, zmin, zmax]]
proj = NDProject.fromTokenName(token_name)
with closing (ramondb.RamonDB(proj)) as db:
ch = proj.getChannelObj(channel)
resolution = ch.resolution
cubeRestrictions = xmin + xmax + ymin + ymax + zmin + zmax
matrix = []
# assumption that the channel is a neuron channel
if cubeRestrictions != 0:
idslist = getAnnoIds(proj, ch, resolution, xmin, xmax, ymin, ymax, zmin, zmax)
else:
# entire cube
[xmax, ymax, zmax] = proj.datasetcfg.get_imagesize(resolution)
idslist = getAnnoIds(proj, ch, resolution, xmin, xmax, ymin, ymax, zmin, zmax)
if idslist.size == 0:
logger.error("Area specified x:{},{} y:{},{} z:{},{} is empty".format(xmin, xmax, ymin, ymax, zmin, zmax))
raise NDWSError("Area specified x:{},{} y:{},{} z:{},{} is empty".format(xmin, xmax, ymin, ymax, zmin, zmax))
annos = {}
for i in idslist:
tmp = db.getAnnotation(ch, i)
if int(db.annodb.getAnnotationKV(ch, i)['ann_type']) == annotation.ANNO_SYNAPSE:
annos[i]=[int(s) for s in tmp.getField('segments').split(',')]
# create and export graph
outputGraph = nx.Graph()
for key in annos:
outputGraph.add_edges_from([tuple(annos[key])])
try:
f = tempfile.NamedTemporaryFile()
if graphType.upper() == "GRAPHML":
nx.write_graphml(outputGraph, f)
elif graphType.upper() == "ADJLIST":
nx.write_adjlist(outputGraph, f)
elif graphType.upper() == "EDGELIST":
nx.write_edgelist(outputGraph, f)
elif graphType.upper() == "GEXF":
nx.write_gexf(outputGraph, f)
elif graphType.upper() == "GML":
nx.write_gml(outputGraph, f)
elif graphType.upper() == "GPICKLE":
nx.write_gpickle(outputGraph, f)
elif graphType.upper() == "YAML":
nx.write_yaml(outputGraph, f)
elif graphType.upper() == "PAJEK":
nx.write_net(outputGraph, f)
else:
nx.write_graphml(outputGraph, f)
f.flush()
f.seek(0)
except:
logger.error("Internal file error in creating/editing a NamedTemporaryFile")
f.close()
raise NDWSError("Internal file error in creating/editing a NamedTemporaryFile")
return (f, graphType.lower())