/
app.py.save
executable file
·107 lines (90 loc) · 3.47 KB
/
app.py.save
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
51.140.32.136from flask import Flask
from flask import render_template,flash,redirect,request,url_for
from forms import LoginForm, DataForm
from config import Config
import subprocess
import sys
from werkzeug.utils import secure_filename
from flask import send_from_directory
import os
from upload import uploadForTensorboard
UPLOAD_FOLDER = '/home/datasets'
ALLOWED_EXTENSIONS = set(['csv'])
app = Flask(__name__)
app.config.from_object(Config)
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
def allowed_file(filename):
return '.' in filename and \
filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
@app.route('/')
@app.route('/index')
def index():
user = {'username':'user'}
return render_template('index.html',user=user)
@app.route('/login',methods=['GET','POST'])
def login():
form = LoginForm()
if form.validate_on_submit():
#flash('usernameis:{},remember it:{}'.format(
#form.username.data,form.remember_me.data))
#v = sys.version
#flash(v)
return redirect('/index')
return render_template('login.html',title='Log in',form=form)
@app.route('/evaluator',methods=['GET','POST'])
def evaluator():
form= DataForm()
if form.validate_on_submit():
data1=form.data1.data
data2=form.data2.data
# evaluate here
return redirect('/result')
return render_template('evaluator.html',title='Evaluator',form=form)
@app.route('/runShell',methods = ['POST', 'GET'])
def runShell():
cmd = ["tensorboard","--logdir","."]
p = subprocess.Popen(cmd,stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
stdin=subprocess.PIPE)
#out,err = p.communicate()
#flash("HELLO")
return redirect('http://localhost:6006/#whatif&inferenceAddress1=localhost%3A8500&modelName1=my_model&examplesPath=/d/Desktop/UCL/Coursework/SecondYear/SystemsEngineering/ProgressChecking/data.tfrecord')
@app.route('/result')
def result():
return redirect('/runShell')
@app.route('/test',methods=['GET','POST'])
def upload_file():
if request.method == 'POST':
# check if the post request has the file part
if 'file' not in request.files:
flash('No file part')
return redirect(request.url)
file = request.files['file']
# if user does not select file, browser also
# submit an empty part without filename
if file.filename == '':
flash('No selected file')
return redirect(request.url)
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
#temp = os.path.join(app.config['UPLOAD_FOLDER'], filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
return redirect(url_for('uploaded_file',filename=filename))
return '''
<!doctype html>
<title>Upload new File</title>
<h1>Upload a .csv file</h1>
<h2> With a column as probabilities (delimited with | operator) for the predictions</h2>
<form method=post enctype=multipart/form-data>
<input type=file name=file>
<input type=submit value=Upload>
</form>
'''
@app.route('/uploads/<filename>')
def uploaded_file(filename):
path = os.path.join(app.config['UPLOAD_FOLDER'],filename)
what_if_path = uploadForTensorboard(path)
#return send_from_directory(app.config['UPLOAD_FOLDER'],filename)
return redirect(what_if_path)
if __name__ == '__main__':
app.run(host='0.0.0.0',debug=True)