class FacialRecognitionServer(PresenterSocketServer):
'''A server for face recognition'''
def __init__(self, config):
"""
Description: class init func
Input:
config: config information
Returns: NA
"""
server_address = (config.presenter_server_ip,
int(config.presenter_server_port))
super(FacialRecognitionServer, self).__init__(server_address)
self.storage_dir = config.storage_dir
self.max_face_num = int(config.max_face_num)
self.face_match_threshold = float(config.face_match_threshold)
self.register_dict = {}
self.app_manager = AppManager()
self.channel_manager = ChannelManager()
self.face_register_file = os.path.join(self.storage_dir,
"registered_faces.json")
self._init_face_database()
def _init_face_database(self):
"""
Description: Init face recognition database,
read information from face_register_file
Input: NA
Returns: NA
"""
if not os.path.isfile(self.face_register_file):
with open(self.face_register_file, "w", encoding="utf-8") as f:
f.write("{}")
with open(self.face_register_file, "r") as f:
self.face_lock = threading.Lock()
self.registered_faces = json.load(f)
self._filter_registration_data()
def _filter_registration_data(self):
face_dict = self.registered_faces.copy()
for i in face_dict:
image_path = os.path.join(self.storage_dir, i + ".jpg")
if not os.path.isfile(image_path):
del self.registered_faces[i]
def get_all_face(self):
"""
Description: get registered face list.
Input: NA
Returns: NA
"""
with self.face_lock:
return [i for i in self.registered_faces]
def save_face_image(self, name, image):
"""
Description: save face image.
Input:
name face name
image: face image
Returns: True or False
"""
image_file = os.path.join(self.storage_dir, name + ".jpg")
try:
#image = image.decode("utf-8")
with open(image_file, "wb") as f:
f.write(image)
return True
except (OSError, TypeError) as exp:
logging.error(exp)
return False
def get_app_socket(self, app_id):
"""
Description: get a socket which is bound to the app.
Input:
app_id: id of the app
Returns: socket
"""
return self.app_manager.get_socket_by_app_id(app_id)
def list_registered_apps(self):
"""
Description: get registered apps list.
Input: NA
Returns: app list
"""
return self.app_manager.list_app()
def delete_faces(self, name_list):
"""
Description: delete registered faces in name_list
Input:
name_list: a name list
Returns: True or False
"""
with self.face_lock:
for i in name_list:
if self.registered_faces.get(i):
backup = self.registered_faces[i]
del self.registered_faces[i]
try:
with open(self.face_register_file, "w") as f:
json.dump(self.registered_faces, f)
image_file = os.path.join(self.storage_dir, i + ".jpg")
os.remove(image_file)
except (OSError, JSONDecodeError) as exp:
logging.error(exp)
self.registered_faces[i] = backup
return False
return True
def _clean_connect(self, sock_fileno, epoll, conns, msgs):
"""
Description: close socket, and clean local variables
Input:
sock_fileno: a socket fileno, return value of socket.fileno()
epoll: a set of select.epoll.
conns: all socket connections registered in epoll
msgs: msg read from a socket
"""
logging.info("clean fd:%s, conns:%s", sock_fileno, conns)
self.app_manager.unregister_app_by_fd(sock_fileno)
epoll.unregister(sock_fileno)
conns[sock_fileno].close()
del conns[sock_fileno]
del msgs[sock_fileno]
def _process_msg(self, conn, msg_name, msg_data):
"""
Total entrance to process protobuf msg
Input:
conn: a socket connection
msg_name: name of a msg.
msg_data: msg body, serialized by protobuf
Returns:
False:somme error occured
True:succeed
"""
# process open channel request
if msg_name == pb2._REGISTERAPP.full_name:
ret = self._process_register_app(conn, msg_data)
# process image request, receive an image data from presenter agent
elif msg_name == pb2._FACERESULT.full_name:
ret = self._process_face_result(msg_data)
elif msg_name == pb2._FRAMEINFO.full_name:
ret = self._process_frame_info(conn, msg_data)
elif msg_name == presenter_message_pb2._OPENCHANNELREQUEST.full_name:
ret = self._process_open_channel(conn, msg_data)
# process heartbeat request, it used to keepalive a channel path
elif msg_name == presenter_message_pb2._HEARTBEATMESSAGE.full_name:
ret = self._process_heartbeat(conn)
else:
logging.error("Not recognized msg type %s", msg_name)
ret = False
return ret
def _process_heartbeat(self, conn):
'''
set heartbeat
Input:
conn: a socket connection
Returns:
True: set heartbeat ok.
'''
sock_fileno = conn.fileno()
if self.app_manager.get_app_id_by_socket(sock_fileno):
self.app_manager.set_heartbeat(sock_fileno)
handler = self.channel_manager.get_channel_handler_by_fd(sock_fileno)
if handler is not None:
handler.set_heartbeat()
return True
def _parse_protobuf(self, protobuf, msg_data):
"""
Description: parse protobuf
Input:
protobuf: a struct defined by protobuf
msg_data: msg body, serialized by protobuf
Returns: True or False
"""
try:
protobuf.ParseFromString(msg_data)
return True
except DecodeError as exp:
logging.error(exp)
return False
def _process_register_app(self, conn, msg_data):
"""
Description: process register_app message
Input:
conn: a socket connection
msg_data: msg body, serialized by protobuf
Returns: True or False
"""
request = pb2.RegisterApp()
response = pb2.CommonResponse()
msg_name = pb2._COMMONRESPONSE.full_name
if not self._parse_protobuf(request, msg_data):
response.ret = pb2.kErrorOther
response.message = "ParseFromString exception"
self.send_message(conn, response, msg_name)
return False
app_id = request.id
app_type = request.type
# check app id if exist
if self.app_manager.is_app_exist(app_id):
logging.error("App %s is already exist.", app_id)
response.ret = pb2.kErrorAppRegisterExist
response.message = "App {} is already exist.".format(app_id)
self.send_message(conn, response, msg_name)
elif self.app_manager.get_app_num() >= MAX_APP_NUM:
logging.error("App number reach the upper limit")
response.ret = pb2.kErrorAppRegisterLimit
response.message = "App number reach the upper limit"
self.send_message(conn, response, msg_name)
elif app_type != SERVER_TYPE:
logging.error("App type %s error", app_type)
response.ret = pb2.kErrorAppRegisterType
response.message = "App type {} error".format(app_type)
self.send_message(conn, response, msg_name)
elif len(app_id) > APP_ID_MAX_LENGTH:
logging.error("App id %s is too long", app_id)
response.ret = pb2.kErrorOther
response.message = "App id: {} is too long".format(app_id)
self.send_message(conn, response, msg_name)
else:
self.app_manager.register_app(app_id, conn)
response.ret = pb2.kErrorNone
response.message = "Register app {} succeed".format(app_id)
self.send_message(conn, response, msg_name)
return True
return False
def _process_face_result(self, msg_data):
"""
Description: process face_result message
Input:
msg_data: msg body, serialized by protobuf
Returns: True or False
"""
face_result = pb2.FaceResult()
if not self._parse_protobuf(face_result, msg_data):
return False
face_id = face_result.id
if not self.register_dict.get(face_id):
logging.warning("face id %s is already deleted", face_id)
return True
ret = face_result.response.ret
if ret != pb2.kErrorNone:
err_msg = face_result.response.message
logging.error("get face feature error message: %s", err_msg)
status = FACE_REGISTER_STATUS_FAILED
message = "Get face feature failed"
self._update_register_dict(face_id, status, message)
return True
face_num = len(face_result.feature)
if face_num == 0:
status = FACE_REGISTER_STATUS_FAILED
message = "No face recognized"
self._update_register_dict(face_id, status, message)
elif face_num > 1:
status = FACE_REGISTER_STATUS_FAILED
message = "{} faces recognized".format(face_num)
self._update_register_dict(face_id, status, message)
else:
box = face_result.feature[0].box
face_coordinate = [box.lt_x, box.lt_y, box.rb_x, box.rb_x]
feature_vector = [i for i in face_result.feature[0].vector]
if len(feature_vector) != FEATURE_VECTOR_LENGTH:
logging.error("feature_vector length not equal 1024")
status = FACE_REGISTER_STATUS_FAILED
message = "Face feature vector length invalid"
self._update_register_dict(face_id, status, message)
return True
return self._save_face_feature(face_id, face_coordinate,
feature_vector)
return True
def _update_register_dict(self, face_id, status, message):
"""
Description: update register_dict
Input:
face_id: id of face
status: status of face register
message: message of status of face register
Returns: True or False
"""
if self.register_dict.get(face_id):
self.register_dict[face_id]["status"] = status
self.register_dict[face_id]["message"] = message
self.register_dict[face_id]["event"].set()
def _save_face_feature(self, face_id, face_coordinate, feature_vector):
"""
Description: save face_feature
Input:
face_id: id of face
face_coordinate: face coordinates
feature_vector: face feature vector
Returns: True or False
"""
with self.face_lock:
self.registered_faces[face_id] = {
"coordinate": face_coordinate,
"feature": feature_vector
}
try:
with open(self.face_register_file, "w") as f:
json.dump(self.registered_faces, f)
status = FACE_REGISTER_STATUS_SUCCEED
message = "Successful registration"
self._update_register_dict(face_id, status, message)
return True
except (OSError, JSONDecodeError) as exp:
logging.error(exp)
del self.registered_faces[face_id]
status = FACE_REGISTER_STATUS_FAILED
message = "save face feature to json file failed"
self._update_register_dict(face_id, status, message)
return False
def _process_open_channel(self, conn, msg_data):
"""
Description: process open channel message
Input:
conn: a socket connection
msg_data: msg body, serialized by protobuf
Returns: True or False
"""
request = presenter_message_pb2.OpenChannelRequest()
response = presenter_message_pb2.OpenChannelResponse()
if not self._parse_protobuf(request, msg_data):
channel_name = "unknown channel"
err_code = presenter_message_pb2.kOpenChannelErrorOther
return self._response_open_channel(conn, channel_name, response,
err_code)
channel_name = request.channel_name
# check channel name if exist
if not self.channel_manager.is_channel_exist(channel_name):
logging.error("channel name %s is not exist.", channel_name)
err_code = presenter_message_pb2.kOpenChannelErrorNoSuchChannel
return self._response_open_channel(conn, channel_name, response,
err_code)
# check channel path if busy
if self.channel_manager.is_channel_busy(channel_name):
logging.error("channel path %s is busy.", channel_name)
err = presenter_message_pb2.kOpenChannelErrorChannelAlreadyOpened
return self._response_open_channel(conn, channel_name, response,
err)
content_type = presenter_message_pb2.kChannelContentTypeVideo
if request.content_type == content_type:
media_type = "video"
else:
logging.error("media type %s is not recognized.",
request.content_type)
err_code = presenter_message_pb2.kOpenChannelErrorOther
return self._response_open_channel(conn, channel_name, response,
err_code)
handler = FacialRecognitionHandler(channel_name, media_type)
sock = conn.fileno()
self.channel_manager.create_channel_resource(channel_name, sock,
media_type, handler)
err_code = presenter_message_pb2.kOpenChannelErrorNone
return self._response_open_channel(conn, channel_name, response,
err_code)
def _process_frame_info(self, conn, msg_data):
"""
Description: process frame info message
Input:
conn: a socket connection
msg_data: msg body, serialized by protobuf
Returns: True or False
"""
request = pb2.FrameInfo()
response = pb2.CommonResponse()
msg_name = pb2._COMMONRESPONSE.full_name
if not self._parse_protobuf(request, msg_data):
return False
sock_fileno = conn.fileno()
handler = self.channel_manager.get_channel_handler_by_fd(sock_fileno)
if handler is None:
logging.error("get channel handler failed")
response.ret = pb2.kErrorOther
response.message = "channel error."
self.send_message(conn, response, msg_name)
return False
face_list = self._recognize_face(request.feature)
handler.save_frame(request.image, face_list)
response.ret = pb2.kErrorNone
response.message = "process frame info suceed."
self.send_message(conn, response, msg_name)
return True
def _recognize_face(self, face_feature):
"""
Description: recognize which face it is.
Input:
face_feature: face feature
Returns: face list
"""
face_list = []
for i in face_feature:
face_info = {}
box = i.box
coordinate = [box.lt_x, box.lt_y, box.rb_x, box.rb_y]
feature_vector = i.vector
if len(feature_vector) != FEATURE_VECTOR_LENGTH:
logging.error("feature_vector length not equal 1024")
continue
(name, score, allmsg) = self._compute_face_feature(feature_vector)
face_info["coordinate"] = coordinate
face_info["name"] = name
face_info["confidence"] = score
face_info["allmsg"] = allmsg
face_list.append(face_info)
return face_list
def _compute_face_feature(self, feture_vector):
"""
Description: compute score of the feture_vector
Input:
feture_vector: face feature vector
Returns: face name and score
"""
highest_score_face = "Unknown"
highest_score = 0
allmsg = ""
with self.face_lock:
for i in self.registered_faces:
feature = self.registered_faces[i]["feature"]
score = self._compute_similar_degree(feature, feture_vector)
if score < self.face_match_threshold:
continue
allmsg += str(i) + ":" + str(round(score, 2)) + ","
if score > highest_score:
highest_score = score
highest_score_face = i
if allmsg != "":
allmsg = allmsg[:-1]
return (highest_score_face, highest_score, allmsg)
def _compute_similar_degree(self, feture_vector1, feture_vector2):
"""
Description: compute cosine similarity of two vectors
Input:
feture_vector1: face feature vector
feture_vector2: face feature vector
Returns: score
"""
vector1 = np.array(feture_vector1)
vector2 = np.array(feture_vector2)
square_diff = ((np.linalg.norm(vector1)) * (np.linalg.norm(vector2)))
score = np.dot(vector1, vector2) / square_diff
return score
def stop_thread(self):
"""
Description: clean thread when process exit.
Input: NA
Returns: NA
"""
channel_manager = ChannelManager([])
channel_manager.close_all_thread()
self.set_exit_switch()
self.app_manager.set_thread_switch()
class VideoAnalysisServer(PresenterSocketServer):
'''Video Analysis Server'''
def __init__(self, config):
server_address = (config.presenter_server_ip,
int(config.presenter_server_port))
self.storage_dir = config.storage_dir
self.max_app_num = int(config.max_app_num)
self.reserved_space = int(config.reserved_space)
self.app_manager = AppManager()
self.frame_num = 0
super(VideoAnalysisServer, self).__init__(server_address)
def _clean_connect(self, sock_fileno, epoll, conns, msgs):
"""
Description: close socket, and clean local variables
Args:
sock_fileno: a socket fileno, return value of socket.fileno()
epoll: a set of select.epoll.
conns: all socket connections registered in epoll
msgs: msg read from a socket
"""
logging.info("clean fd:%s, conns:%s", sock_fileno, conns)
self.app_manager.unregister_app_by_fd(sock_fileno)
epoll.unregister(sock_fileno)
conns[sock_fileno].close()
del conns[sock_fileno]
del msgs[sock_fileno]
def _process_msg(self, conn, msg_name, msg_data):
"""
Description: Total entrance to process protobuf msg
Args:
conn: a socket connection
msg_name: name of a msg.
msg_data: msg body, serialized by protobuf
Returns:
False:somme error occured
True:succeed
"""
# process open channel request
if msg_name == pb2._REGISTERAPP.full_name:
ret = self._process_register_app(conn, msg_data)
elif msg_name == pb2._IMAGESET.full_name:
ret = self._process_image_set(conn, msg_data)
elif msg_name == pb2._CARINFERENCERESULT.full_name:
ret = self._process_car_inference_result(conn, msg_data)
elif msg_name == pb2._HUMANINFERENCERESULT.full_name:
ret = self._process_human_inference_result(conn, msg_data)
elif msg_name == pb2._FACEINFERENCERESULT.full_name:
ret = self._process_face_inference_result(conn, msg_data)
elif msg_name == presenter_message_pb2._HEARTBEATMESSAGE.full_name:
ret = self._process_heartbeat(conn)
# process image request, receive an image data from presenter agent
else:
logging.error("Not recognized msg type %s", msg_name)
ret = False
return ret
def _process_heartbeat(self, conn):
'''
Description: set heartbeat
Input:
conn: a socket connection
Returns:
True: set heartbeat ok.
'''
if self.app_manager.get_app_id_by_socket(conn.fileno()):
self.app_manager.set_heartbeat(conn.fileno())
return True
def _parse_protobuf(self, protobuf, msg_data):
"""
Description: parse protobuf
Input:
protobuf: a struct defined by protobuf
msg_data: msg body, serialized by protobuf
Returns: True or False
"""
try:
protobuf.ParseFromString(msg_data)
return True
except DecodeError as exp:
logging.error(exp)
return False
def _process_register_app(self, conn, msg_data):
'''
Description: process register_app message
Input:
conn: a socket connection
msg_data: message data.
Returns: True or False
'''
request = pb2.RegisterApp()
response = pb2.CommonResponse()
msg_name = pb2._COMMONRESPONSE.full_name
if not self._parse_protobuf(request, msg_data):
self._response_error_unknown(conn)
return False
app_id = request.id
app_type = request.type
# check app id if exist
app_dir = os.path.join(self.storage_dir, app_id)
if os.path.isdir(app_dir):
logging.error("App %s is already exist.", app_id)
response.ret = pb2.kErrorAppRegisterExist
response.message = "App {} is already exist.".format(app_id)
self.send_message(conn, response, msg_name)
elif self.app_manager.get_app_num() >= self.max_app_num:
logging.error("App number reach the upper limit")
response.ret = pb2.kErrorAppRegisterLimit
response.message = "App number reach the upper limit"
self.send_message(conn, response, msg_name)
elif app_type != SERVER_TYPE:
logging.error("App type %s error", app_type)
response.ret = pb2.kErrorAppRegisterType
response.message = "App type {} error".format(app_type)
self.send_message(conn, response, msg_name)
elif self._is_app_id_invalid(app_id):
logging.error("App id %s is too long", app_id)
response.ret = pb2.kErrorOther
response.message = "App id: {} is too long".format(app_id)
self.send_message(conn, response, msg_name)
elif self._remain_space() < self.reserved_space:
logging.error("Insufficient storage space on Presenter Server.")
response.ret = pb2.kErrorAppRegisterNoStorage
response.message = "Insufficient storage space on Presenter Server"
self.send_message(conn, response, msg_name)
else:
self.app_manager.register_app(app_id, conn)
# app_dir = os.path.join(self.storage_dir, app_id)
# if not os.path.isdir(app_dir):
# os.makedirs(app_dir)
response.ret = pb2.kErrorNone
response.message = "Register app {} succeed".format(app_id)
self.send_message(conn, response, msg_name)
return True
return False
def _process_image_set(self, conn, msg_data):
'''
Description: process image_set message
Input:
conn: a socket connection
msg_data: message data.
Returns: True or False
'''
request = pb2.ImageSet()
response = pb2.CommonResponse()
msg_name = msg_name = pb2._COMMONRESPONSE.full_name
if not self._parse_protobuf(request, msg_data):
self._response_error_unknown(conn)
return False
app_id = request.frame_index.app_id
channel_id = request.frame_index.channel_id
channel_name = request.frame_index.channel_name
frame_id = request.frame_index.frame_id
frame_image = request.frame_image
if not self.app_manager.is_app_exist(app_id):
logging.error("app_id: %s not exist", app_id)
response.ret = pb2.kErrorAppLost
response.message = "app_id: %s not exist" % (app_id)
self.send_message(conn, response, msg_name)
return False
frame_num = self.app_manager.get_frame_num(app_id, channel_id)
if frame_num % CHECK_INTERCAL == 0:
if self._remain_space() <= self.reserved_space:
logging.error("Insufficient storage space on Server.")
response.ret = pb2.kErrorStorageLimit
response.message = "Insufficient storage space on Server."
self.send_message(conn, response, msg_name)
return False
stack_index = frame_num // MAX_SUB_DIRECTORY_NUM
stack_directory = "stack_{}/".format(stack_index)
frame = stack_directory + frame_id
frame_dir = os.path.join(self.storage_dir, app_id, channel_id, frame)
if not self._save_image(frame_dir, frame_image):
self._response_error_unknown(conn)
logging.error("save_image: %s error.", frame_dir)
return False
app_dir = os.path.join(self.storage_dir, app_id)
self._save_channel_name(app_dir, channel_id, channel_name)
for i in request.object:
object_id = i.id
object_confidence = i.confidence
object_image = i.image
object_dir = os.path.join(frame_dir, object_id)
inference_dict = {"confidence": object_confidence}
if not self._save_image(object_dir, object_image) or \
not self._save_inference_result(object_dir, inference_dict):
self._response_error_unknown(conn)
logging.error("save image: %s error.", object_dir)
return False
self.app_manager.increase_frame_num(app_id, channel_id)
self.app_manager.set_heartbeat(conn.fileno())
response.ret = pb2.kErrorNone
response.message = "image set process succeed"
self.send_message(conn, response, msg_name)
return True
def _process_car_inference_result(self, conn, msg_data):
'''
Description: process car_inference_result message
Input:
conn: a socket connection
msg_data: message data.
Returns: True or False
'''
request = pb2.CarInferenceResult()
response = pb2.CommonResponse()
msg_name = msg_name = pb2._COMMONRESPONSE.full_name
inference_dict = {}
if not self._parse_protobuf(request, msg_data):
self._response_error_unknown(conn)
return False
app_id = request.frame_index.app_id
channel_id = request.frame_index.channel_id
frame_id = request.frame_index.frame_id
object_id = request.object_id
if not self.app_manager.is_app_exist(app_id):
logging.error("app_id: %s not exist", app_id)
response.ret = pb2.kErrorAppLost
response.message = "app_id: %s not exist" % (app_id)
self.send_message(conn, response, msg_name)
return False
channel_dir = os.path.join(self.storage_dir, app_id, channel_id)
stack_list = os.listdir(channel_dir)
stack_list.sort()
current_stack = stack_list[-1]
object_dir = os.path.join(channel_dir, current_stack, frame_id,
object_id)
if request.type == pb2.kCarColor:
inference_dict["color_confidence"] = request.confidence
inference_dict["color"] = request.value
elif request.type == pb2.kCarBrand:
inference_dict["brand_confidence"] = request.confidence
inference_dict["brand"] = request.value
elif request.type == pb2.kCarPlate:
inference_dict["plate_confidence"] = request.confidence
inference_dict["plate"] = request.value
else:
logging.error("unknown type %d", request.type)
self._response_error_unknown(conn)
return False
if not self._save_inference_result(object_dir, inference_dict):
self._response_error_unknown(conn)
return False
self.app_manager.set_heartbeat(conn.fileno())
response.ret = pb2.kErrorNone
response.message = "car inference process succeed"
self.send_message(conn, response, msg_name)
return True
def _process_human_inference_result(self, conn, msg_data):
'''
Description: process human_inference_result message
Input:
conn: a socket connection
msg_data: message data.
Returns: True or False
'''
request = pb2.HumanInferenceResult()
response = pb2.CommonResponse()
msg_name = msg_name = pb2._COMMONRESPONSE.full_name
inference_dict = {}
if not self._parse_protobuf(request, msg_data):
self._response_error_unknown(conn)
return False
app_id = request.frame_index.app_id
channel_id = request.frame_index.channel_id
frame_id = request.frame_index.frame_id
object_id = request.object_id
if not self.app_manager.is_app_exist(app_id):
logging.error("app_id: %s not exist", app_id)
response.ret = pb2.kErrorAppLost
response.message = "app_id: %s not exist" % (app_id)
self.send_message(conn, response, msg_name)
return False
channel_dir = os.path.join(self.storage_dir, app_id, channel_id)
stack_list = os.listdir(channel_dir)
stack_list.sort()
current_stack = stack_list[-1]
object_dir = os.path.join(channel_dir, current_stack, frame_id,
object_id)
inference_dict["property"] = {}
for item in request.human_property:
inference_dict["property"][item.key] = item.value
if not self._save_inference_result(object_dir, inference_dict):
self._response_error_unknown(conn)
return False
self.app_manager.set_heartbeat(conn.fileno())
response.ret = pb2.kErrorNone
response.message = "human inference process succeed"
self.send_message(conn, response, msg_name)
return True
def _process_face_inference_result(self, conn, msg_data):
'''
Description: process face_inference_result message
Input:
conn: a socket connection
msg_data: message data.
Returns: True or False
'''
request = pb2.FaceInferenceResult()
response = pb2.CommonResponse()
msg_name = msg_name = pb2._COMMONRESPONSE.full_name
inference_dict = {}
if not self._parse_protobuf(request, msg_data):
self._response_error_unknown(conn)
return False
app_id = request.frame_index.app_id
channel_id = request.frame_index.channel_id
frame_id = request.frame_index.frame_id
object_id = request.object_id
if not self.app_manager.is_app_exist(app_id):
logging.error("app_id: %s not exist", app_id)
response.ret = pb2.kErrorAppLost
response.message = "app_id: %s not exist" % (app_id)
self.send_message(conn, response, msg_name)
return False
channel_dir = os.path.join(self.storage_dir, app_id, channel_id)
stack_list = os.listdir(channel_dir)
stack_list.sort()
current_stack = stack_list[-1]
object_dir = os.path.join(channel_dir, current_stack, frame_id,
object_id)
if request.type == pb2.kFaceAge:
inference_dict["age_confidence"] = request.confidence
inference_dict["age"] = request.value
elif request.type == pb2.kFaceGender:
inference_dict["gender_confidence"] = request.confidence
inference_dict["gender"] = request.value
else:
logging.error("unknown type %d", request.type)
self._response_error_unknown(conn)
return False
if not self._save_inference_result(object_dir, inference_dict):
self._response_error_unknown(conn)
return False
self.app_manager.set_heartbeat(conn.fileno())
response.ret = pb2.kErrorNone
response.message = "face inference process succeed"
self.send_message(conn, response, msg_name)
return True
def _response_error_unknown(self, conn):
'''
Description: response error_unknown message
Input:
conn: a socket connection
Returns: NA
'''
msg_name = msg_name = pb2._COMMONRESPONSE.full_name
response = pb2.CommonResponse()
response.ret = pb2.kErrorOther
response.message = "Error unknown on Presenter Server"
self.send_message(conn, response, msg_name)
def _save_image(self, directory, image):
'''
Description: save image
Input:
conn: a socket connection
image: image content
Returns: True or False
'''
try:
if not os.path.isdir(directory):
os.makedirs(directory)
image_file = os.path.join(directory, IMAGE_FILE)
with open(image_file, "wb") as f:
f.write(image)
return True
except OSError as exp:
logging.error(exp)
return False
def _save_channel_name(self, app_dir, channel_id, channel_name):
'''
Description: save channel_name to json file
Input:
app_dir: app directory
channel_id: channel id
channel_name: channel name
Returns: NA
'''
channel_name_file = os.path.join(app_dir, CHANNEL_NAME_FILE)
item = {channel_id: channel_name}
try:
if not os.path.isfile(channel_name_file):
os.mknod(channel_name_file)
with open(channel_name_file, 'r') as json_f:
try:
json_dict = json.load(json_f)
except (OSError, JSONDecodeError):
json_dict = {}
with open(channel_name_file, 'w') as json_f:
json_dict.update(item)
json.dump(json_dict, json_f)
except (OSError, JSONDecodeError):
return False
return True
def _save_inference_result(self, directory, inference_dict):
'''
Description: save inference_result to json file
Input:
directory: a directory
inference_dict: inference result
Returns: NA
'''
json_dict = {}
try:
if not os.path.isdir(directory):
os.makedirs(directory)
json_file = os.path.join(directory, JSON_FILE)
try:
with open(json_file, 'r') as json_f:
json_dict = json.load(json_f)
except (OSError, JSONDecodeError):
json_dict = {}
json_dict = dict(json_dict, **inference_dict)
with open(json_file, 'w') as json_f:
json.dump(json_dict, json_f)
return True
except (OSError, JSONDecodeError) as exp:
logging.error(exp)
return False
def _remain_space(self):
'''
Description: compute system remain space.
Input: NA
Returns: NA
'''
disk = os.statvfs(self.storage_dir)
available_mbit = (disk.f_bsize * disk.f_bavail) / (1024 * 1024)
return available_mbit
def _is_app_id_invalid(self, app_id):
pattern = re.compile(r'([a-zA-Z0-9_]{3,20})$')
if pattern.match(app_id):
return False
return True
def stop_thread(self):
"""
Description: clean thread when process exit.
Input: NA
Returns: NA
"""
channel_manager = ChannelManager([])
channel_manager.close_all_thread()
self.set_exit_switch()
self.app_manager.set_thread_switch()
