Virtual-Assistant/docker.py at master · mani1soni/Virtual-Assistant · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
#!/usr/bin/python3

import speech_recognition as sr
import os, cv2, socket
from fun import tts
from textblob import TextBlob
from textblob.classifiers import NaiveBayesCLassifier, MaxEntClassifier

with open('devops.json','r') as fp:
    cl = NaiveBayesClassifier(fp, format="json")

s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(("8.8.8.8", 80))
ip = (s.getsockname()[0])
s.close()


class Docker(sr.Recognizer):
    def listen(self, source, timeout = None):
        print("starting listening")
        result = super(self.__class__, self).listen(source, timeout)
        print("done listening")
        return result


def docker_clf():
    sr.Recognizer = Docker
    d1 = sr.Recognizer()

    with sr.Microphone(chunk_size = 512) as source:
         audio = d1.listen(source)

    user_input = d1.recognize_google(audio)

    input_data = (user_input)
    output_data = cl.classify(input_data)

    if output_data == 'docker_service_start':
        print (os.system('systemctl start docker'))
    elif output_data == 'docker_service_stop':
        print (os.system('systemctl stop docker'))
    elif output_data == 'docker_service_restart':
        print (os.system('systemctl restart docker'))
    else :
        tts("try again")


def ml_platform():
    tts("thanks for connecting us")
    tts("please enter your platform name")
    input1 = input("here: ")
    os.system('docker run -itd --name ' + input1 + '-p 1234:22 ml')
    print ("connect to this ip and port by ssh" + ip + ":1234")

def website_deploy():
    tts("what kind of style you want you can select from these following")
    img1 = cv2.imread('photos/Autonomy.png',1)
    img2 = cv2.imread('photos/Lambent.png',1)
    img3 = cv2.imread('photos/Pasttime.png',1)
    img4 = cv2.imread('photos/stonework.png',1)
    img5 = cv2.imread('photos/wirework.png',1)
    cv2.imshow('Autonomy',img1)
    cv2.imshow('Lambent',img2)
    cv2.imshow('pasttime',img3)
    cv2.imshow('stonework',img4)
    cv2.imshow('wirework',img5)
    print("press 'q' to quit")
    if waitKey(0) &  0xFF == ord('q'):
        cv2.destroyAllWindows()

    menu = '''
             press 1 for Autonomy
             press 2 for Lambent
             press 3 for pasttme
             press 4 for stonework
             press 5 for wirework

            '''
    print(menu)
    input_site = input("enter your choice: ")

    if input_site = 1:
        site = 'Autonomy'
    elif input_site = 2:
        site = 'Lambent'
    elif input_site = 3:
        site = 'pasttime'
    elif input_site = 4:
        site = 'stonework'
    elif input_site = 5:
        site = 'wirework'
    else:
        tts("may be later")

    tts("enter your container name")
    inp = input("here: ")
    os.system('docker run -itd -v data/:var/www/html -p 9898:80 --name '+inp+'ubuntu:apache2')
    print("enter ip and port in your browser",ip,":9898")


def docker():
    tts("what do you want to do with docker")
    sr.Recognizer = Docker
    d1 = sr.Recognizer()
    with sr.Microphone(chunk_size = 512) as source:
        audio = d1.listen(source)
    user_input = d1.recognize_google(audio)
    # docker_service = os.system('docker')
    # d = print (docker_service)
    # if d == 0:
    #     os.system('systemctl start docker')
    # elif True :
    #     print("docker service is started")

    if user_input == i:
        print (os.system('docker images')
    elif user_input == c:
        print (os.system('docker run -itd ml'))
    elif user_input == cr:
        print (os.system("docker remove `docker ps -qa`"))

docker()