# Write out the message body to a temp file for facial detection process
temp_file = utils.write_temp_file(message.body,
message.properties['content_type'])
# Detect faces
result_file = detect.faces(temp_file)
# Build response properties including the timestamp from the first publish
properties = {'app_id': 'Chapter 6 Listing 2 Consumer',
'content_type': message.properties['content_type'],
'correlation_id': message.properties['correlation_id'],
'headers': {
'first_publish': message.properties['timestamp']}}
# The result file could just be the original image if nothing detected
body = utils.read_image(result_file)
# Remove the temp file
os.unlink(temp_file)
# Remove the result file
os.unlink(result_file)
# Publish the response response
response = rabbitpy.Message(channel, body, properties, opinionated=True)
response.publish('rpc-replies', message.properties['reply_to'])
# Acknowledge the delivery of the RPC request message
message.ack()
# Declare the response queue
if response_queue.declare():
print('Response queue declared')
# Bind the response queue
if response_queue.bind('rpc-replies', queue_name):
print('Response queue bound')
# Iterate through the images to send RPC requests for
for img_id, filename in enumerate(utils.get_images()):
print 'Sending request for image #%s: %s' % (img_id, filename)
# Create the message
message = rabbitpy.Message(channel,
utils.read_image(filename),
{'content_type': utils.mime_type(filename),
'correlation_id': str(img_id),
'reply_to': queue_name},
opinionated=True)
# Pubish the message
message.publish('fanout-rpc-requests')
# Loop until there is a response message
message = None
while not message:
time.sleep(0.5)
message = response_queue.get()
# Ack the response message
# Declare the response queue
if response_queue.declare():
print('Response queue declared')
# Bind the response queue
if response_queue.bind('rpc-replies', queue_name):
print('Response queue bound')
# Iterate through the images to send RPC requests for
for img_id, filename in enumerate(utils.get_images()):
print('Sending request for image #%s: %s' % (img_id, filename))
# Create the message
message = rabbitpy.Message(channel,
utils.read_image(filename), {
'content_type': utils.mime_type(filename),
'correlation_id': str(img_id),
'headers': {
'source': 'profile',
'object': 'image',
'action': 'new'
},
'reply_to': queue_name
},
opinionated=True)
# Pubish the message
message.publish('headers-rpc-requests')
# Loop until there is a response message
message.properties['content_type'])
# Detect faces
result_file = detect.faces(temp_file)
# Build response properties including the timestamp from the first publish
properties = {
'app_id': 'Chapter 6 Listing 2 Consumer',
'content_type': message.properties['content_type'],
'correlation_id': message.properties['correlation_id'],
'headers': {
'first_publish': message.properties['timestamp']
}
}
# The result file could just be the original image if nothing detected
body = utils.read_image(result_file)
# Remove the temp file
os.unlink(temp_file)
# Remove the result file
os.unlink(result_file)
# Publish the response response
response = rabbitpy.Message(channel, body, properties, opinionated=True)
response.publish('rpc-replies', message.properties['reply_to'])
# Acknowledge the delivery of the RPC request message
message.ack()