Files
Telereview/code/backend_reconnaissance/manager.py
2023-05-03 16:01:12 +02:00

117 lines
4.4 KiB
Python

from hand_detector import HandDetector
from audio_detector import record, analyze, test
from network import ApiClient, WebsocketServer
import time
import speech_recognition as sr
#Classe qui coordonne les différents modules et qui s'occupe de construire l'avis au fur et a mesure
class Manager():
def __init__(self):
self.state = 0
self.defualtAvis = {
"note": None,
"commentaire": None,
"notes_autres": {}
}
self.TIMEOUT_CAMERA = 5
self.avis = self.defualtAvis
self.server = WebsocketServer(None)
self.server.start()
self.handDetector = HandDetector()
self.api = ApiClient()
self.timeLastChange = time.time()
self.isLastHandPacketEmpty = False
self.recongizer = sr.Recognizer()
print("Backend ready")
#Boucle principale
def loop(self):
while(True):
if(self.state == 0):
self.sleep()
if(self.state == 1):
self.camera()
if(self.state == 2):
self.audio()
if(self.state == 3):
self.thankYou()
time.sleep(0.01)
#Fonction qui est executée pendant que la borne est en veille, reveille la borne si une main est detectée
def sleep(self):
res = self.handDetector.detect()
if(res != False):
self.state = 1
self.timeLastChange = time.time()
self.server.sendMessage({"type": "state", "state": 1})
#Envoie la position de la main a l'écran et passe a l'étape suivante si une main est detectée pendant assez longtemps
def camera(self):
if(time.time() - self.timeLastChange > self.TIMEOUT_CAMERA):
self.server.sendMessage({"type":"reset"})
self.reset()
return
res = self.handDetector.detect()
if(res != False):
state, coords, size, finalDecision, progress = res
self.server.sendMessage({"type": "effects", "effects": [{"type": "loading", "x":coords[0], "y": coords[1], "width": size, "height": size, "progress": progress},{"type": state, "x":coords[0], "y": coords[1], "width": size, "height": size}]})
self.isLastHandPacketEmpty = False
self.timeLastChange = time.time()
if(finalDecision != False):
self.avis["note"] = 10 if finalDecision == "thumbs_up" else 0
self.state = 2
self.server.sendMessage({"type": "state", "state": 2})
elif self.isLastHandPacketEmpty == False:
self.server.sendMessage({"type":"effects","effects":[]})
self.isLastHandPacketEmpty = True
def audio(self):
time.sleep(3)
self.server.sendMessage({"type":"recording_started"})
with sr.Microphone() as source:
audio = self.recongizer.listen(source)
self.server.sendMessage({"type":"recording_done"})
try:
# utilisez le recognizer pour effectuer la reconnaissance vocale
texte = self.recongizer.recognize_google(audio, language='fr-FR')
print("AUDIO MESSAGE RECONGIZED : " + texte)
self.server.sendMessage({"type":"new_grade","word":texte})
self.avis["commentaire"] = texte
# Audio non reconnu
except sr.UnknownValueError:
print("MESSAGE NOT RECONGIZED")
self.server.sendMessage({"type":"new_grade","word":"Avis non reconnu"})
self.avis["commentaire"] = ""
#Erreur d'accès à l'api
except sr.RequestError as e:
print("Erreur avec l'api de reconnaissance vocale")
self.avis["commentaire"] = ""
self.server.sendMessage({"type":"new_grade","word":"Avis non reconnu"})
print("Impossible de récupérer les résultats de la reconnaissance vocale; {0}".format(e))
#On passe a la suite
time.sleep(5)
self.state = 3
self.server.sendMessage({"type": "state", "state": 3})
def thankYou(self):
#On envoie l'avis à l'api
res = self.api.send(self.avis["note"],self.avis["commentaire"])
time.sleep(10)
print("Reseting...")
self.timeLastChange = time.time()
self.server.sendMessage({"type": "state", "state": 0})
print(res.text)
self.reset()
def reset(self):
self.state = 0
self.avis = self.defualtAvis
self.handDetector.reset()