def application(environ, start_response):
try:
query_body_size = int(environ.get('CONTENT_LENGTH', 0))
body = environ['wsgi.input'].read(query_body_size).decode('utf-8')
except (ValueError):
query_body_size = 0
body = '{"requestType":100,"contentType":100,"requestData":{"productId":1,"user_email":"miha@miha8","user_password":"******"}}'
status = '200 OK'
print (body)
if len(body) > 0:
plugin_response = RequestParser(body)
plugin_response.distribute()
output = plugin_response.output().encode('utf-8')
else:
output = "Empty result".encode('utf-8')
response_headers = [('Content-type', 'application/json'),
('Content-Length', str(len(output)))]
start_response(status, response_headers)
return [output]
def handle(self, handler):
"""
"""
content = None
splitted_request = handler.request.uri.split("/")
query = "/".join(splitted_request[2:])[1:]
if splitted_request[1] == "metainfo":
# content = self._core.get_meta_info(path)
content = "metainfo"
content_type = "text/html"
# image data request
elif splitted_request[1] == "data":
try:
parser = RequestParser()
args = parser.parse(splitted_request[2:])
# Call the cutout method
volume = self._core.get(*args)
# Check if we got nothing in the case of a request outside the data with fit=True
if volume.size == 0:
raise IndexError("Tile index out of bounds")
# Color mode is equivalent to segmentation color request right now
color = parser.optional_queries["segcolor"] and parser.optional_queries["segmentation"]
# color = True
# Accepted image output formats
image_formats = settings.SUPPORTED_IMAGE_FORMATS
# Process output
out_dtype = np.uint8
output_format = parser.output_format
if output_format == "zip" and not color:
# Rotate out of numpy array
volume = volume.transpose(1, 0, 2)
zipped_data = zlib.compress(volume.astype(out_dtype).tostring("F"))
output = StringIO.StringIO()
output.write(zipped_data)
content = output.getvalue()
content_type = "application/octet-stream"
elif output_format in image_formats:
if color:
volume = volume[:, :, :, [2, 1, 0]]
content = cv2.imencode("." + output_format, volume[:, :, 0, :].astype(out_dtype))[1].tostring()
else:
content = cv2.imencode("." + output_format, volume[:, :, 0].astype(out_dtype))[1].tostring()
content_type = "image/" + output_format
else:
content = "Error 400: Bad request<br>Output file format not supported"
content_type = "text/html"
# Show some basic statistics
print "Total volume shape:", volume.shape
except (KeyError, ValueError):
print "Missing query"
content = "Error 400: Bad request<br>Missing query"
content_type = "text/html"
except IndexError:
traceback.print_exc(file=sys.stdout)
print "Could not load image"
content = "Error 400: Bad request<br>Could not load image"
content_type = "text/html"
# except Exception:
# traceback.print_exc(file=sys.stdout)
# invalid request
if not content:
content = "Error 404: Not found"
content_type = "text/html"
# handler.set_header('Cache-Control','no-cache, no-store, must-revalidate')
# handler.set_header('Pragma','no-cache')
# handler.set_header('Expires','0')
handler.set_header("Access-Control-Allow-Origin", "*")
handler.set_header("Content-Type", content_type)
# Temporary check for img output
handler.write(content)
def handle( self, handler ):
'''
'''
content = None
splitted_request = handler.request.uri.split('/')
query = '/'.join(splitted_request[2:])[1:]
if splitted_request[1] == 'metainfo':
# content = self._core.get_meta_info(path)
content = 'metainfo'
content_type = 'text/html'
#image data request
elif splitted_request[1] == 'data':
try:
parser = RequestParser()
args = parser.parse(splitted_request[2:])
#Call the cutout method
volume = self._core.get(*args)
#Check if we got nothing in the case of a request outside the data with fit=True
if volume.size == 0:
raise IndexError('Tile index out of bounds')
#Color mode is equivalent to segmentation color request right now
color = parser.optional_queries['segcolor'] and parser.optional_queries['segmentation']
# color = True
#Accepted image output formats
image_formats = settings.SUPPORTED_IMAGE_FORMATS
#Process output
out_dtype = np.uint8
output_format = parser.output_format
if output_format == 'zip' and not color:
#Rotate out of numpy array
volume = volume.transpose(1, 0, 2)
zipped_data = zlib.compress(volume.astype(out_dtype).tostring('F'))
output = StringIO.StringIO()
output.write(zipped_data)
content = output.getvalue()
content_type = 'application/octet-stream'
elif output_format in image_formats:
if color:
volume = volume[:,:,:,[2,1,0]]
content = cv2.imencode('.' + output_format, volume[:,:,0,:].astype(out_dtype))[1].tostring()
else:
content = cv2.imencode('.' + output_format, volume[:,:,0].astype(out_dtype))[1].tostring()
content_type = 'image/' + output_format
else:
content = 'Error 400: Bad request<br>Output file format not supported'
content_type = 'text/html'
#Show some basic statistics
print 'Total volume shape:', volume.shape
except (KeyError, ValueError):
print 'Missing query'
content = 'Error 400: Bad request<br>Missing query'
content_type = 'text/html'
except IndexError:
traceback.print_exc(file=sys.stdout)
print 'Could not load image'
content = 'Error 400: Bad request<br>Could not load image'
content_type = 'text/html'
# except Exception:
# traceback.print_exc(file=sys.stdout)
# invalid request
if not content:
content = 'Error 404: Not found'
content_type = 'text/html'
# handler.set_header('Cache-Control','no-cache, no-store, must-revalidate')
# handler.set_header('Pragma','no-cache')
# handler.set_header('Expires','0')
handler.set_header('Access-Control-Allow-Origin', '*')
handler.set_header('Content-Type', content_type)
#Temporary check for img output
handler.write(content)
def handle(self, handler):
'''
'''
content = None
splitted_request = handler.request.uri.split('/')
if splitted_request[1] == 'metainfo':
# content = self._core.get_meta_info(path)
content = 'metainfo'
handler.set_header("Content-type", 'text/html')
elif splitted_request[1] == 'stop':
import tornado
tornado.ioloop.IOLoop.instance().stop()
handler.set_status(200)
handler.set_header("Content-type", "text/plain")
handler.write("stop")
return
# image data request
elif splitted_request[1] == 'data':
try:
parser = RequestParser()
args = parser.parse(splitted_request[2:])
# Call the cutout method
volume = self._core.get(*args[0:3],**args[3])
# Check if we got nothing in the case of a request outside the
# data with fit=True
if volume.size == 0:
raise IndexError('Tile index out of bounds')
color = parser.optional_queries['segcolor']
# Accepted image output formats
image_formats = settings.SUPPORTED_IMAGE_FORMATS
# Process output
out_dtype = np.uint8
output_format = parser.output_format
if output_format == 'zip' and not color:
# Rotate out of numpy array
volume = volume.transpose(1, 0, 2)
zipped_data = zlib.compress(
volume.astype(out_dtype).tostring('F'))
output = StringIO.StringIO()
output.write(zipped_data)
content = output.getvalue()
content_type = 'application/octet-stream'
elif output_format in image_formats:
if color:
volume = volume[:, :, :, [2, 1, 0]]
content = cv2.imencode(
'.' + output_format,
volume[
:,
:,
0,
:].astype(out_dtype))[1].tostring()
else:
content = cv2.imencode(
'.' + output_format,
volume[
:,
:,
0].astype(out_dtype))[1].tostring()
content_type = 'image/' + output_format
else:
raise HTTPError(handler.request.uri,
400,
'Output file format not supported',
[], None)
# Show some basic statistics
rh_logger.logger.report_event(
'Total volume shape: %s' % str(volume.shape))
handler.set_header('Content-Type', content_type)
except (KeyError, ValueError):
rh_logger.logger.report_event('Missing query',
log_level=logging.WARNING)
content = 'Error 400: Bad request<br>Missing query'
content_type = 'text/html'
handler.set_status(400)
except IndexError:
rh_logger.logger.report_exception(msg='Could not load image')
content = 'Error 400: Bad request<br>Could not load image'
content_type = 'text/html'
handler.set_status(400)
except HTTPError, http_error:
content = http_error.msg
if len(http_error.hdrs) == 0:
handler.set_header('Content-Type', "text/html")
handler.set_status(http_error.code)
def getText(location):
if location==None:
return ''
res=location['description']
if location['tags']!=None:
res+=' ' + ' '.join(location['tags'])
if location['categories']!=None:
res+=' ' + ' '.join(location['categories'])
return res
readInfo=ReadInfo('../info.txt')
#print readInfo.getLocation("TRECCS-00000102-423")
requestParser=RequestParser()
requests= requestParser.getRequests('../importantlocations.txt')
def calc_greedy_similarity(host, port, dbindex):
logger.debug('calculating similarity...');
begin_time = datetime.now()
logger.debug('Similarity calculation started at : '+str(begin_time))
dur = begin_time-begin_time
redisconn=redis.StrictRedis(host=host, port=port, db=dbindex)
#term_weight_fetcher=TermWeightFetcher(lucene_dir_path)
term_vector_fetcher=TermVectorFetcher(redisconn, None)
greedy=Greedy()
