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analytics_api.py
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analytics_api.py
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import json
import subprocess
import sys
import time
import requests
import websocket
SUBSCRIBED_TOPICS = [
"SIFIS:Privacy_Aware_Speech_Recognition",
"SIFIS:Privacy_Aware_Parental_Control",
"SIFIS:Privacy_Aware_Device_Anomaly_Detection",
"SIFIS:Privacy_Aware_Object_Recognition",
"SIFIS:Privacy_Aware_Face_Recognition",
"SIFIS:Publish_Alarms_Request",
"SIFIS:AUD_Manager_Request",
"SIFIS:Privacy_Aware_Speech_Recognition_Results",
"SIFIS:Privacy_Aware_Parental_Control_Results",
"SIFIS:Privacy_Aware_Object_Recognition_Results",
"SIFIS:Privacy_Aware_Object_Recognition_Frame_Results",
"SIFIS:Privacy_Aware_Device_Anomaly_Detection_Results",
"SIFIS:Netspot_Control_Results",
"SIFIS:AUD_Manager_Results",
"SIFIS:Object_Recognition",
"SIFIS:Object_Recognition_Frame_Results",
"SIFIS:Object_Recognition_Results",
"SIFIS:Privacy_Aware_Speaker_Verification",
"SIFIS:Privacy_Aware_Audio_Anomaly_Detection",
"SIFIS:Privacy_Aware_Audio_Anomaly_Detection_Results",
"SIFIS:Privacy_Aware_Face_Recognition_CAM",
]
def get_last_time():
"""Reads last_time.txt and returns timestamp from there or 0 for known errors"""
try:
file = open("last_time.txt")
timestamp = int(file.readline().rstrip())
file.close()
return timestamp
except (FileNotFoundError, ValueError):
return 0
def set_last_time():
"""Writes the current timestamp to the last_time.txt file"""
file = open("last_time.txt", "w")
file.write(str(time.time_ns()))
file.close()
def netspot_alarm_check(address, port, within_time=None):
# Get or make timestamp for alarms request
if within_time is None:
timestamp = get_last_time()
else:
timestamp = time.time_ns() - int(within_time * 6e10)
# Making the request
url = f"http://{address}:{port}/v1/netspots/alarms"
params = {"time": timestamp, "last": 50}
try:
reply = requests.get(url, params)
except requests.RequestException as e:
return False, str(e)
# Checking the reply
if reply.status_code == 200:
# Request was okay, save current time to be used with next request
set_last_time()
# Handling messages
messages = reply.json()
if len(messages) == 0:
# No alarms
return True, None
# Find messages with the highest probability
highest_probability = 0.0
most_urgent_message = ""
for message in messages:
if message["probability"] >= highest_probability:
highest_probability = message["probability"]
most_urgent_message = message
return True, most_urgent_message
# Server responded with error. Return status code and content in the message
return (
False,
f"Server responded with {reply.status_code}:\n{reply.content.decode('utf-8')}",
)
def on_error(ws, error):
print(error)
def on_close(ws, close_status_code, close_msg):
print("### Connection closed ###")
def on_open(ws):
print("### Connection established ###")
def on_message(ws, message):
print("Received:")
print(message)
json_message = json.loads(message)
if "Persistent" in json_message:
json_message = json_message["Persistent"]
if "topic_name" in json_message:
if json_message["topic_name"] in SUBSCRIBED_TOPICS:
if (
json_message["topic_name"]
== "SIFIS:Publish_Alarms_Request"
):
print("Received instance of " + json_message["topic_name"])
print("Topic Name: " + json_message["topic_name"])
print("Address: " + json_message["value"]["Address"])
print("Port: " + str(json_message["value"]["Port"]))
Address = json_message["value"]["Address"]
Port = json_message["value"]["Port"]
within_time = json_message["value"]["Within Time"]
device = json_message["value"]["Device name"]
if (
Address is not None
and Port is not None
and within_time is not None
):
print("Time is not None")
(success, message) = netspot_alarm_check(
Address, Port, within_time
)
elif (
Address is not None
and Port is not None
and within_time is None
):
print("Time is None")
(success, message) = netspot_alarm_check(Address, Port)
else:
print("Error, no variables were passed")
if success:
if message is None:
return 0
# We have an alarm message. Let us create DHT message from it.
ws_req = {
"RequestPostTopicUUID": {
"topic_name": "SIFIS:Netspot_Control_Results",
"topic_uuid": "AlarmResult",
"value": {
"description": "Netspot alarms check results",
"Device": device,
"Statistic": message["stat"],
"Status": message["status"],
"Probability": message["probability"],
"Time": message["time"],
},
}
}
ws.send(json.dumps(ws_req))
dht_message_json = json.dumps(
ws_req, separators=(",", ":")
)
print(dht_message_json)
return 1
print(
"Could not receive alarms:", message, file=sys.stdout
)
return 2
elif json_message["topic_name"] == "SIFIS:AUD_Manager_Request":
print("Received instance of " + json_message["topic_name"])
print("Topic Name: " + json_message["topic_name"])
print("Request: " + json_message["value"]["Request"])
Request = json_message["value"]["Request"]
cmd1 = "curl http://localhost:5050/" + str(Request)
cmd = cmd1.split()
print(cmd)
p = subprocess.Popen(cmd, stdout=subprocess.PIPE)
out, err = p.communicate()
# print(out)
print(out.decode("ascii"))
ws_req = {
"RequestPostTopicUUID": {
"topic_name": "SIFIS:AUD_Manager_Results",
"topic_uuid": "AUD_Manager_Results",
"value": {
"description": "AUD Manager Results",
"Request": str(Request),
"Results": out.decode("ascii"),
},
}
}
ws.send(json.dumps(ws_req))
elif (
json_message["topic_name"]
== "SIFIS:Privacy_Aware_Speech_Recognition"
):
print("Received instance of " + json_message["topic_name"])
print("Audio File: " + json_message["value"]["Audio File"])
print(
"requestor_id: "
+ json_message["value"]["requestor_id"]
)
print(
"requestor_type: "
+ json_message["value"]["requestor_type"]
)
print("request_id: " + json_message["value"]["request_id"])
print(
"Entity Types: "
+ str(json_message["value"]["Entity Types"])
)
print("method: " + str(json_message["value"]["method"]))
audio = json_message["value"]["Audio File"]
requestor_id = json_message["value"]["requestor_id"]
requestor_type = json_message["value"]["requestor_type"]
request_id = json_message["value"]["request_id"]
Entity_Types = json_message["value"]["Entity Types"]
method = json_message["value"]["method"]
if method == "DeepSpeeach":
cmd1 = "docker run -ti -v /var/run/docker.sock:/var/run/docker.sock -u root --net=host --name privacy_preserving_speech_recognition privacy_preserving_speech_recognition python -m recognize_wavFile_Func --audio "
cmd2 = cmd1 + audio
cmd = cmd2.split()
print(cmd)
p = subprocess.Popen(cmd, stdout=subprocess.PIPE)
out, err = p.communicate()
print(out)
cmd = "docker rm -f privacy_preserving_speech_recognition".split()
p = subprocess.Popen(cmd, stdout=subprocess.PIPE)
out, err = p.communicate()
print(out)
elif method == "Whisper":
url = (
"http://localhost:5040/whisper/"
+ audio
+ "/"
+ requestor_id
+ "/"
+ requestor_type
+ "/"
+ request_id
)
file = {
"file": open("/analytics_api/data/" + audio, "rb")
}
response = requests.post(url, files=file)
# Check the response
if response.status_code == 200:
print("Request succeeded.")
response_dict = json.loads(response.content)
response_dict2 = response_dict[
"RequestPostTopicUUID"
]["value"]
ws.send(json.dumps(response_dict))
else:
print("Request failed.")
print(response.content)
elif (
json_message["topic_name"]
== "SIFIS:Privacy_Aware_Audio_Anomaly_Detection"
):
print("Received instance of " + json_message["topic_name"])
print("Audio File: " + json_message["value"]["audio_file"])
print(
"requestor_id: "
+ json_message["value"]["requestor_id"]
)
print(
"requestor_type: "
+ json_message["value"]["requestor_type"]
)
print("request_id: " + json_message["value"]["request_id"])
print("method: " + str(json_message["value"]["method"]))
audio_file = json_message["value"]["audio_file"]
requestor_id = json_message["value"]["requestor_id"]
requestor_type = json_message["value"]["requestor_type"]
request_id = json_message["value"]["request_id"]
method = json_message["value"]["method"]
url = (
"http://localhost:5000/model/predict/"
+ audio_file
+ "/"
+ method
+ "/"
+ requestor_id
+ "/"
+ requestor_type
+ "/"
+ request_id
)
file = {
"audio": (
"sample1.wav",
open("/analytics_api/data/" + audio_file, "rb"),
"audio/wav",
)
}
response = requests.post(url, files=file)
# Check the response
if response.status_code == 200:
print("Request succeeded.")
response_dict = json.loads(response.content)
for prediction in range(5):
print(
response_dict["predictions"][prediction][
"label"
],
response_dict["predictions"][prediction][
"probability"
],
)
ws_req = {
"RequestPostTopicUUID": {
"topic_name": "SIFIS:Privacy_Aware_Audio_Anomaly_Detection_Results",
"topic_uuid": "Audio_Anomaly_Detection_Results",
"value": {
"description": "Speech Recognition Results",
"requestor_id": str(
response_dict["requestor_id"]
),
"requestor_type": str(
response_dict["requestor_type"]
),
"request_id": str(
response_dict["request_id"]
),
"analyzer_id": str(
response_dict["analyzer_id"]
),
"analysis_id": str(
response_dict["analysis_id"]
),
"audio_file": str(
response_dict["audio_file"]
),
"method": str(response_dict["method"]),
"predictions": response_dict[
"predictions"
],
},
}
}
ws.send(json.dumps(ws_req))
else:
print("Request failed.")
print(response.content)
elif (
json_message["topic_name"]
== "SIFIS:Privacy_Aware_Device_Anomaly_Detection"
):
print("Received instance of " + json_message["topic_name"])
print("Topic Name: " + json_message["topic_name"])
temp = json_message["value"]["Temperatures"]
t = " ".join(str(item) for item in temp)
requestor_id = json_message["value"]["requestor_id"]
requestor_type = json_message["value"]["requestor_type"]
request_id = json_message["value"]["request_id"]
url = (
"http://localhost:9090/temperature/"
+ str(t)
+ "/"
+ requestor_id
+ "/"
+ requestor_type
+ "/"
+ request_id
)
# Make the request
response = requests.get(url)
# Check the response
if response.status_code == 200:
print("Request succeeded.")
response_dict = json.loads(response.content)
response_dict2 = response_dict["RequestPostTopicUUID"][
"value"
]
# ws.send(json.dumps(response_dict))
else:
print("Request failed.")
print(response.content)
elif (
json_message["topic_name"]
== "SIFIS:Privacy_Aware_Parental_Control"
):
print("Received instance of " + json_message["topic_name"])
print("file_name: " + json_message["value"]["file_name"])
print(
"requestor_id: "
+ json_message["value"]["requestor_id"]
)
print(
"requestor_type: "
+ json_message["value"]["requestor_type"]
)
print("request_id: " + json_message["value"]["request_id"])
print(
"Privacy_Parameter: "
+ str(json_message["value"]["Privacy_Parameter"])
)
file_name = json_message["value"]["file_name"]
Privacy_Parameter = json_message["value"][
"Privacy_Parameter"
]
requestor_id = json_message["value"]["requestor_id"]
requestor_type = json_message["value"]["requestor_type"]
request_id = json_message["value"]["request_id"]
file_path = "/analytics_api/data/" + file_name
url = (
"http://localhost:6060/file_estimation/"
+ file_name
+ "/"
+ str(Privacy_Parameter)
+ "/"
+ requestor_id
+ "/"
+ requestor_type
+ "/"
+ request_id
)
file = {"file": open(file_path, "rb")}
response = requests.post(url, files=file)
# Use the json module to load CKAN's response into a dictionary.
response_dict = json.loads(response.text)
print(response_dict)
# Make the request
response = requests.post(
url, files={"file": open(file_path, "rb")}
)
# Check the response
if response.status_code == 200:
print("Request succeeded.")
response_dict = json.loads(response.content)
response_dict2 = response_dict["RequestPostTopicUUID"][
"value"
]
ws.send(json.dumps(response_dict))
else:
print("Request failed.")
print(response.content)
elif (
json_message["topic_name"]
== "SIFIS:Privacy_Aware_Object_Recognition"
):
print("Received instance of " + json_message["topic_name"])
print("file_path: " + json_message["value"]["file_path"])
print("file_name: " + json_message["value"]["file_name"])
print(
"requestor_id: "
+ json_message["value"]["requestor_id"]
)
print(
"requestor_type: "
+ json_message["value"]["requestor_type"]
)
print("request_id: " + json_message["value"]["request_id"])
print("epsilon: " + str(json_message["value"]["epsilon"]))
print(
"sensitivity: "
+ str(json_message["value"]["sensitivity"])
)
file_path = json_message["value"]["file_path"]
file_name = json_message["value"]["file_name"]
requestor_id = json_message["value"]["requestor_id"]
requestor_type = json_message["value"]["requestor_type"]
request_id = json_message["value"]["request_id"]
epsilon = json_message["value"]["epsilon"]
sensitivity = json_message["value"]["sensitivity"]
url = (
"http://localhost:8080/file_object/"
+ file_name
+ "/"
+ str(epsilon)
+ "/"
+ str(sensitivity)
+ "/"
+ requestor_id
+ "/"
+ requestor_type
+ "/"
+ request_id
)
file_path = "/analytics_api/data/" + file_name
# Make the request
response = requests.post(
url, files={"file": open(file_path, "rb")}
)
# Check the response
if response.status_code == 200:
print("Request succeeded.")
response_dict = json.loads(response.content)
response_dict2 = response_dict["RequestPostTopicUUID"][
"value"
]
ws.send(json.dumps(response_dict))
else:
print("Request failed.")
print(response.content)
elif (
json_message["topic_name"]
== "SIFIS:Privacy_Aware_Face_Recognition"
):
print("Received instance of " + json_message["topic_name"])
print("file_name: " + json_message["value"]["file_name"])
print(
"database_path: "
+ json_message["value"]["database_path"]
)
print(
"requestor_id: "
+ json_message["value"]["requestor_id"]
)
print(
"requestor_type: "
+ json_message["value"]["requestor_type"]
)
print("request_id: " + json_message["value"]["request_id"])
print(
"privacy_parameter: "
+ str(json_message["value"]["privacy_parameter"])
)
file_name = json_message["value"]["file_name"]
database_path = json_message["value"]["database_path"]
requestor_id = json_message["value"]["requestor_id"]
requestor_type = json_message["value"]["requestor_type"]
request_id = json_message["value"]["request_id"]
privacy_parameter = json_message["value"][
"privacy_parameter"
]
url = (
"http://localhost:8090/check_directory/"
+ file_name
+ "/"
+ str(privacy_parameter)
+ "/"
+ requestor_id
+ "/"
+ requestor_type
+ "/"
+ request_id
)
file_path = "/analytics_api/data/" + file_name
# database_path = '/analytics_api/data/' + database_path
# database_path = '/app/database'
database_path = database_path
files = [
("file", open(file_path, "rb")),
("path", database_path),
]
# Make the request
response = requests.post(url, files=files)
# Check the response
if response.status_code == 200:
print("Request succeeded.")
response_dict = json.loads(response.content)
response_dict2 = response_dict["RequestPostTopicUUID"][
"value"
]
ws.send(json.dumps(response_dict))
else:
print("Request failed.")
print(response.content)
elif (
json_message["topic_name"]
== "SIFIS:Privacy_Aware_Face_Recognition_CAM"
):
print("Received instance of " + json_message["topic_name"])
print("cam_link: " + json_message["value"]["cam_link"])
print(
"database_path: "
+ json_message["value"]["database_path"]
)
print(
"requestor_id: "
+ json_message["value"]["requestor_id"]
)
print(
"requestor_type: "
+ json_message["value"]["requestor_type"]
)
print("request_id: " + json_message["value"]["request_id"])
print(
"privacy_parameter: "
+ str(json_message["value"]["privacy_parameter"])
)
cam_link = json_message["value"]["cam_link"]
database_path = json_message["value"]["database_path"]
requestor_id = json_message["value"]["requestor_id"]
requestor_type = json_message["value"]["requestor_type"]
request_id = json_message["value"]["request_id"]
privacy_parameter = json_message["value"][
"privacy_parameter"
]
url = (
"http://localhost:8090/cam_face_recognition/"
+ cam_link
+ "/"
+ str(privacy_parameter)
+ "/"
+ requestor_id
+ "/"
+ requestor_type
+ "/"
+ request_id
)
database_path = database_path
files = [
("path", database_path),
]
# Make the request
response = requests.post(url, files=files)
# Check the response
if response.status_code == 200:
print("Request succeeded.")
response_dict = json.loads(response.content)
response_dict2 = response_dict["RequestPostTopicUUID"][
"value"
]
ws.send(json.dumps(response_dict))
else:
print("Request failed.")
print(response.content)
elif (
json_message["topic_name"]
== "SIFIS:Privacy_Aware_Speaker_Verification"
):
print("Received instance of " + json_message["topic_name"])
print(
"First Audio File: "
+ json_message["value"]["first_audio_file"]
)
print(
"Second Audio File: "
+ json_message["value"]["second_audio_file"]
)
print(
"requestor_id: "
+ json_message["value"]["requestor_id"]
)
print(
"requestor_type: "
+ json_message["value"]["requestor_type"]
)
print("request_id: " + json_message["value"]["request_id"])
first_audio_file = json_message["value"][
"first_audio_file"
]
second_audio_file = json_message["value"][
"second_audio_file"
]
requestor_id = json_message["value"]["requestor_id"]
requestor_type = json_message["value"]["requestor_type"]
request_id = json_message["value"]["request_id"]
url = (
"http://localhost:7070/speaker_verification/"
+ first_audio_file
+ "/"
+ second_audio_file
+ "/"
+ requestor_id
+ "/"
+ requestor_type
+ "/"
+ request_id
)
files = [
(
"file1",
(
"filename1.wav",
open(
"/analytics_api/data/" + first_audio_file,
"rb",
),
"audio/wav",
),
),
(
"file2",
(
"filename2.wav",
open(
"/analytics_api/data/" + second_audio_file,
"rb",
),
"audio/wav",
),
),
]
response = requests.post(url, files=files)
# Check the response
if response.status_code == 200:
print("Request succeeded.")
response_dict = json.loads(response.content)
response_dict2 = response_dict["RequestPostTopicUUID"][
"value"
]
ws.send(json.dumps(response_dict))
else:
print("Request failed.")
print(response.content)
else:
print(
"We are not subscribed to this topic ",
json_message["topic_name"],
)
if __name__ == "__main__":
ws = websocket.WebSocketApp(
"ws://localhost:3000/ws",
on_open=on_open,
on_message=on_message,
on_error=on_error,
on_close=on_close,
)
ws.run_forever()