-
Notifications
You must be signed in to change notification settings - Fork 0
/
application.py
301 lines (235 loc) · 11.2 KB
/
application.py
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
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
# app.py
# Author: Daniel Schulz
# Project: Capstone TA-IP 2018 (Watermelon Capstone)
# Description: Flask Server for handling image/data uploads to AWS.
from flask import Flask, request, render_template, jsonify, url_for
import boto3
import os
from models import db, Result, Reading
from sqlalchemy import desc
from sqlalchemy.dialects.postgresql import ARRAY, array
import json
from flask_bootstrap import Bootstrap
from flask_basicauth import BasicAuth
import tensorflow as tf
import numpy as np
import model
import cv2
import datetime
from spectrogram import generate_html_spectrogram, get_average_spectrogram
# Initialise flask factory and database
application = Flask(__name__)
application.config['BASIC_AUTH_USERNAME'] = 'watermelons'
application.config['BASIC_AUTH_PASSWORD'] = 'watermelons'
basic_auth = BasicAuth(application)
Bootstrap(application)
db.init_app(application)
if(os.environ['RDS_HOSTNAME'] == 'localhost'):
application.config['BOOTSTRAP_SERVE_LOCAL'] = True
# Basic configuration for the application.
class Config(object):
S3_BUCKET = 'watermelons-training'
S3_KEY = os.environ['S3_KEY']
S3_SECRET = os.environ['S3_SECRET']
S3_LOCATION = 'http://{}.s3.amazonaws.com/'.format(S3_BUCKET)
S3_ENDPOINT = "https://s3-ap-southeast-2.amazonaws.com/{}/".format(S3_BUCKET)
SQLALCHEMY_TRACK_MODIFICATIONS = False
SECRET_KEY = os.urandom(32)
DEBUG = True
PORT = 5000
POSTGRES = {
'user': os.environ['RDS_USERNAME'], # 'postgres',
'pw': os.environ['RDS_PASSWORD'], # 'postgres',
'db': os.environ['RDS_DB_NAME'], # 'watermelon_dev',
'host': os.environ['RDS_HOSTNAME'], # 'localhost',
'port': os.environ['RDS_PORT'] # '5432',
}
SQLALCHEMY_DATABASE_URI = 'postgresql://%(user)s:%(pw)s@%(host)s:%(port)s/%(db)s' % POSTGRES
# Setup config
application.config.from_object(Config)
application.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
# Make a connection to AWS S3 storage bucket to be for images.
s3 = boto3.resource(
"s3",
aws_access_key_id=Config.S3_KEY,
aws_secret_access_key=Config.S3_SECRET
)
class tfPredictor():
def __init__(self):
self.predictor = tf.estimator.Estimator(
model_fn=model.model, model_dir="./Model/")
def image_process(self, imagefile):
np_array = np.fromstring(imagefile, np.uint8)
np_image = cv2.imdecode(np_array, cv2.IMREAD_GRAYSCALE)
return cv2.resize(np_image, (28, 28))
def eval_result(self, image):
eval_data = np.reshape(self.image_process(image),[1,28,28,1]).astype(np.float32)
predict_input_fn = tf.estimator.inputs.numpy_input_fn(
x={"x": eval_data},
num_epochs=1,
shuffle=False)
eval_results = list(self.predictor.predict(input_fn=predict_input_fn))
return eval_results
# Initialise predictor
predictor = tfPredictor()
def string_t(string):
return True if string == 'T' else False
# Define the route that will accept uploads (images and measurement data).
@application.route('/upload', methods= ['GET','POST'])
def upload_file():
if request.method == 'POST':
f_image = request.files.getlist('image')[0]
f_audio = request.files.getlist('audio')[0]
pi_id = request.form['pi_i']
r_ids = json.loads(request.form['r_ids'])
pi_serial = request.form['pi_s']
r = True if request.form['r'] == 'T' else False
d = request.form['d']
k = request.form['k']
i = request.form['i']
w = request.form['w']
s = request.form['s']
spect = list(map(lambda x: array(x), json.loads(request.form['spe'])))
laser = list(map(lambda x: string_t(x), json.loads(request.form['la'])))
led = list(map(lambda x: string_t(x), json.loads(request.form['le'])))
uv = list(map(lambda x: string_t(x), json.loads(request.form['uv'])))
read_image = f_image.read()
read_audio = f_audio.read()
s3_image_return = s3.Bucket(Config.S3_BUCKET).put_object(Key=k, Body=read_image)
s3_audio_return = s3.Bucket(Config.S3_BUCKET).put_object(Key=i, Body=read_audio)
if(len(spect[0]) and len(spect)):
result = Result(pi_id=pi_id, pi_serial=pi_serial, s3_key=k, etag=s3_image_return.e_tag, ripe=r, timestamp=d, weather=w, slap_type=s,s3_audio_key=i, etag_audio=s3_audio_return.e_tag)
db.session.add(result)
for i,s in enumerate(spect):
reading = Reading(id=r_ids[i],timestamp=d,pi_id=pi_id,pi_serial=pi_serial,reading=db.cast(s, ARRAY(db.Integer)), laser=laser[i], led=led[i], uv=uv[i])
result.readings.append(reading)
db.session.add(reading)
else:
result = Result(pi_id=pi_id, pi_serial=pi_serial, s3_key=k, etag=s3_image_return.e_tag, ripe=r, timestamp=d, weather=w, slap_type=s,s3_audio_key=i, etag_audio=s3_audio_return.e_tag)
db.session.add(result)
db.session.commit()
#eval_result = predictor.eval_result(read_file)
#print("result:",str(result))
#print("eval:",str(eval_result))
return (str(result))
else:
return("POST API Endpoint only")
@application.route('/reading/avg/normal/<reading_start_id>')
@basic_auth.required
def reading_avg_normal(reading_start_id):
if request.method == 'GET':
normal_spects = db.session.query(Result).join('readings').filter(Reading.uv == False, Reading.led == False, Reading.laser == False, Reading.id >= reading_start_id).all()
normal_avg_spects = [get_average_spectrogram(list(map(lambda x: x.reading, r.readings))).tolist() for r in normal_spects]
normal_avg_spects_ripe = [(1 if r.ripe else 0) for r in normal_spects]
return (json.dumps(
{'spects': normal_avg_spects,
'features': normal_avg_spects_ripe
}
))
@application.route('/reading/avg/uv/<reading_start_id>')
@basic_auth.required
def reading_avg_uv(reading_start_id):
if request.method == 'GET':
uv_spects = db.session.query(Result).join('readings').filter(Reading.uv == True, Reading.led == False, Reading.laser == False, Reading.id >= reading_start_id).all()
uv_avg_spects = [get_average_spectrogram(list(map(lambda x: x.reading, r.readings))).tolist() for r in uv_spects]
uv_avg_spects_ripe = [(1 if r.ripe else 0) for r in uv_spects]
return(json.dumps(
{'spects': uv_avg_spects,
'features': uv_avg_spects_ripe
}
))
@application.route('/result/id/<id>')
@basic_auth.required
def view_result(id):
if request.method == 'GET':
result = Result.query.filter_by(id=id).first_or_404()
if(result):
average_spect = get_average_spectrogram(list(map(lambda x: x.reading, result.readings)))
else:
average_spect = ''
is_picture = True if (result.s3_key[-4:] == '.jpg') else False
is_video = True if (result.s3_key[-4:] == '.mp4' or result.s3_key[-5:] == '.mpeg' or result.s3_key[-5:] == '.h264') else False
try:
s3_audio_url = Config.S3_ENDPOINT + result.s3_audio_key
except:
s3_audio_url = Config.S3_ENDPOINT + ''
return render_template("show_result.html",result=result,html_spect=generate_html_spectrogram(average_spect), s3_image_url=Config.S3_ENDPOINT + result.s3_key, s3_audio_url=s3_audio_url, is_picture=is_picture, is_video=is_video)
@application.route('/result/summary')
@basic_auth.required
def summary():
page = request.args.get('page', 1, type=int)
all_results = db.session.query(Result).order_by(desc(Result.timestamp)).paginate(
page, 10, False)
last_result = Result.query.all()[-1]
if (last_result):
average_spect = get_average_spectrogram(list(map(lambda x: x.reading, last_result.readings)))
else:
average_spect = ''
try:
s3_audio_url = Config.S3_ENDPOINT + last_result.s3_audio_key
except:
s3_audio_url = Config.S3_ENDPOINT + ''
is_picture = True if (last_result.s3_key[-4:] == '.jpg') else False
is_video = True if (last_result.s3_key[-4:] == '.mp4') else False
t_delta = (datetime.datetime.now() - last_result.timestamp)
hours = t_delta.total_seconds() // 3600
minutes = (t_delta.total_seconds() % 3600) // 60
seconds = t_delta.total_seconds() % 60
time_since_last_update = "{hours:.0f} Hours, {minutes:.0f} minutes and {seconds:.0f} seconds".format(hours=hours,minutes=minutes, seconds=seconds)
next_url = url_for('summary', page=all_results.next_num) if all_results.has_next else None
prev_url = url_for('summary', page=all_results.prev_num) if all_results.has_prev else None
return render_template("show_result_summary.html", time_since_last_update=time_since_last_update, all_results=all_results,last_result=last_result, html_spect=generate_html_spectrogram(average_spect), s3_image_url=Config.S3_ENDPOINT + last_result.s3_key, s3_audio_url=s3_audio_url, is_picture=is_picture, is_video=is_video, next_url=next_url, prev_url=prev_url)
@application.route('/result/pi_id/<pi_id>')
@basic_auth.required
def view_result_pi_id(pi_id):
if request.method == 'GET':
result = Result.query.filter_by(pi_id=pi_id).first_or_404()
if (result):
average_spect = get_average_spectrogram(list(map(lambda x: x.reading, result.readings)))
else:
average_spect = ''
is_picture = True if (result.s3_key[-4:] == '.jpg') else False
is_video = True if (result.s3_key[-4:] == '.mp4') else False
try:
s3_audio_url = Config.S3_ENDPOINT + result.s3_audio_key
except:
s3_audio_url = Config.S3_ENDPOINT + ''
return render_template("show_result.html",result=result, html_spect=generate_html_spectrogram(average_spect), s3_image_url=Config.S3_ENDPOINT + result.s3_key, s3_audio_url=s3_audio_url, is_picture=is_picture, is_video=is_video)
@application.route('/reading/id/<id>')
@basic_auth.required
def view_reading(id):
if request.method == 'GET':
reading = Reading.query.filter_by(id=id).first_or_404()
return render_template("show_reading.html",reading=reading, html_spect=generate_html_spectrogram(reading.reading))
@application.route('/result/json/pi/<pi_id>')
@basic_auth.required
def json_result_pi_id(pi_id):
if request.method == 'GET':
result = Result.query.filter_by(pi_id=pi_id).first_or_404()
return jsonify(result.to_json())
@application.route('/result/json/id/<id>')
@basic_auth.required
def json_result(id):
if request.method == 'GET':
result = Result.query.filter_by(id=id).first_or_404()
return jsonify(result.to_json())
@application.route('/reading/json/<id>')
@basic_auth.required
def json_reading(id):
if request.method == 'GET':
reading = Reading.query.filter_by(id=id).first_or_404()
return jsonify(reading.to_json())
@application.route('/result/all')
@basic_auth.required
def get_all_results():
all_json = [i.to_json() for i in Result.query.all()]
return jsonify(json_list=all_json)
@application.route('/reading/all')
@basic_auth.required
def get_all_readings():
all_json = [i.to_json() for i in Reading.query.all()]
return jsonify(json_list=all_json)
# Run the application
if __name__ == '__main__':
application.debug = True
application.run()