def animate(ii):
most_recent = Reader.get_timeset(table="Sensor Plot", num=1)
Reader.close()
for i, key in enumerate(param_dict, 1):
current_plot = param_dict[key]
data_stream = current_plot.incoming_data
data_stream.pop()
data_stream.insert(1, most_recent[0][i])
current_plot.incoming_data = data_stream
current_plot.make_plot(param=key)
def __init__(self, system, gold=None, fmt=DEFAULT_FMT):
"""
system - system output
gold - gold standard
fmt - format
"""
self.system = sorted(Reader(open(system)))
self.gold = sorted(Reader(open(gold)))
fmt_func = FMTS.get(fmt)
assert fmt_func is not None
self.fmt_func = fmt_func
def signup():
previousCredentials=Reader.read_file('./data/credentials.txt')
if request.method=="GET":
return render_template('signup.html', title='Sign up')
elif request.method=="POST":
new_user=request.form['nuser']
new_pswd=request.form['npswd']
new_credentials='%s,%s'%(new_user,new_pswd)
if new_user=='' or new_pswd=='' or new_user in previousCredentials or new_user.find(',')!=-1 or new_pswd.find(',')!=-1:
return render_template('form.html', error='Invalid signup credentials', title='Login')
else:
Reader.write_file('./data/credentials.txt',new_credentials+'\n','a')
return render_template('form.html', error='Successfully signed up!', title='Login')
else:
return 'yo'
def test_data():
d = list(Reader(open(DATA)))
assert len(d) == 1
doc = list(d)[0]
assert len(list(doc.iter_mentions())) == 2
assert len(list(doc.iter_links())) == 1
assert len(list(doc.iter_nils())) == 1
def load(self):
"""
载入相关statistics数据
"""
dataPath = self.getDataPath(date = self.date)
self.data = Reader.read(dataPath)
if not self.data:
raise IOError
return self.data
def validate(u,p):
request_data=request.form
credentials=Reader.getCsvDict('./data/credentials.txt')
if request_data['user'] in credentials and request_data['user']!='':
if request_data['pswd']==credentials[request_data['user']][0]:
return True
else:
return False
else:
return False
def validate(u, p):
request_data = request.form
credentials = Reader.getCsvDict('./data/credentials.txt')
if request_data['user'] in credentials and request_data['user'] != '':
if request_data['pswd'] == credentials[request_data['user']][0]:
return True
else:
return False
else:
return False
def load(self,date=None):
if not self.data.get(date,None):
strategicPath = os.path.join(self.conf.get("SYS_HOME",""),self.conf.get("STRATEGIC_DATA_PATH",STRATEGIC_DATA_PATH),date+SUFFIX)
strategic = Reader.read(strategicPath)
if strategic:
self.data[date] = strategic
else:
logging.warning("Load strategic data failed.Date is %s ,path is %s" % (date,strategicPath))
self.data[date] = []
sys.exit(2)
return self.data.get(date,[])
def signup():
previousCredentials = Reader.read_file('./data/credentials.txt')
if request.method == "GET":
return render_template('signup.html', title='Sign up')
elif request.method == "POST":
new_user = request.form['nuser']
new_pswd = request.form['npswd']
new_credentials = '%s,%s' % (new_user, new_pswd)
if new_user == '' or new_pswd == '' or new_user in previousCredentials or new_user.find(
',') != -1 or new_pswd.find(',') != -1:
return render_template('form.html',
error='Invalid signup credentials',
title='Login')
else:
Reader.write_file('./data/credentials.txt', new_credentials, 'a')
return render_template('form.html',
error='Successfully signed up!',
title='Login')
else:
return 'yo'
def collect(self,strategic = None ,statisticsProjectPath = None):
"""
对于整体数据，缓存之前计算。对于指定策略，暂时只收集15日内数据，反映短期内变动情况。
收集统计数据
>> statistics.stock == testCase['stock']
>> statistics.collect()
收集指定策略统计数据
>> statistics.stock == testCase['stock']
>> statistics.collect(strategic = testCase['collectStrategic'])
@param {list} strategic 符合策略的code list
"""
conf={}
conf.update(self.conf)
isCache = False
data={}
if strategic: #计算指定策略统计
allCode = strategic #符合指定策略的 code 可通过strategic[date][strategicName]读出
allDate = []
for i in range(0,conf.get("MIN_DATA_NUM",MIN_DATA_NUM)):
date=Date.getDate(0-i,conf.get('date',Date.getDate()))
allDate.append(date)
else: #计算整体统计
isCache = True
allDate = self.stock.allDate
allCode = self.stock.allCode
if isCache: #读取之前统计缓存
data = Reader.read(path = self.getDataPath(dataType = "cache"))
for date in allDate:
if date in data and date in allDate:
allDate.remove(date)
conf.update({
"date":self.date,
"stock":self.stock,
"allCode":allCode
})
expression=Expression(conf)
statisticsProjectPath = statisticsProjectPath or os.path.join(conf.get("SYS_HOME"),conf.get("STATISTICS_PROJECT_PATH"))
expressions = expression.load(path = statisticsProjectPath)
for date in allDate:
result={} #初始化result变量，让result能在公式里直接使用,并且result[name]也能使用
for code in allCode:
result[code]={}
expression.execute(expression= conf.get("expressions",expressions), context = {"result":result,"date":date})
if not result:
break;
data[date]=result
if isCache:
Dumper.dump(path = self.getDataPath(dataType = "cache"),data =data)
return data
def __call__(self):
all_counts = defaultdict(dict)
gold = sorted(Reader(open(self.gold)))
for path in self.systems:
system = sorted(Reader(open(path)))
for match, per_doc, overall in Evaluate.count_all(system, gold):
all_counts[match][path] = (per_doc, overall)
results = [
{
'sys1': sys1,
'sys2': sys2,
'match': match,
'stats': self.significance(match_counts[sys1],
match_counts[sys2])
} for sys1, sys2 in itertools.combinations(self.systems, 2)
for match, match_counts in sorted(
all_counts.iteritems(), key=lambda (k, v): MATCHES.index(k))
]
return self.fmt(results, self.metrics)
def log_in():
if request.method=="GET":
return render_template('form.html', title='login')
elif request.method=="POST":#Verifies the username and password against constants at the top
request_data=request.form#Takes the immutable dictionary of the user's inputs and saves it in a variable
credentials=Reader.getCsvDict('./data/credentials.txt')
if validate(request_data['user'],request_data['pswd']):
return render_template('form.html', title='login', error='Successful login')
else:
return render_template('form.html', error='Invalid username or password', title='Login')
else:
return 'yo'
def signup():
previousCredentials = Reader.read_file("./data/credentials.txt")
if request.method == "GET":
return render_template("signup.html", title="Sign up")
elif request.method == "POST":
new_user = request.form["nuser"]
new_pswd = request.form["npswd"]
new_credentials = "%s,%s" % (new_user, new_pswd)
if (
new_user == ""
or new_pswd == ""
or new_user in previousCredentials
or new_user.find(",") != -1
or new_pswd.find(",") != -1
):
return render_template("form.html", error="Invalid signup credentials", title="Login")
else:
Reader.write_file("./data/credentials.txt", new_credentials, "a")
return render_template("form.html", error="Successfully signed up!", title="Login")
else:
return "yo"
def initialize_system(self):
if not self.initialized:
# Read data directly from this class
reader = Reader()
reader.write_serialized()
users, movies, self.ratingsTuples = reader.load_serialized()
(self.ratingsMatrix, self.userIndexes, self.moviesIndexes) = reader.create_ratings_matrix(users, movies)
# Store data in class attributes
self.users = users
self.movies = movies
# Initialize both matrix from SVD
numUsers = len(users)
numMovies = len(movies)
## Users preferences: numUsers * numLatentFactors
self.usersPreferences = np.full(
shape=(numUsers, self.numLatentFactors),
fill_value=self.initializationValue,
dtype=float)
## Movies description: numMovies * numLatentFactors
self.moviesPreferences = np.full(
shape=(numMovies, self.numLatentFactors),
fill_value=self.initializationValue,
dtype=float
)
# Control initialization of the system
self.initialized = True
def GetValues():
with open(config_path, "r") as file:
config_settings = list(csv.reader(file))
most_recent = Reader.get_timeset(table="Sensor Plot", num=1)
Reader.close()
for i, key in enumerate(param_dict):
current_param_val = most_recent[0][i]
live_text = live_text_label[i]
current_plot = param_dict[key]
if current_param_val > float(
config_settings[3][i]) or current_param_val < float(
config_settings[4][i]):
live_text.config(text=most_recent[i], fg="red", bg="white")
current_plot.plot_color = 'r'
else:
live_text.config(text=most_recent[i],
fg="black",
bg="white")
current_plot.plot_color = 'g'
self.after(5000, GetValues)
def test_sentences():
""" Checks that we can read contiguous sentences with the indices making sense. """
docs = list(Reader(open(DATA_FULL)))
for d in docs:
last = None
for s in d.sentences:
for span in s:
if last:
assert span.start == last
else:
assert span.start == 0
last = span.end
if isinstance(span, Mention) and span.link is not None:
assert isinstance(span.score, float)
def log_in():
if request.method == "GET":
return render_template("form.html", title="login")
elif request.method == "POST": # Verifies the username and password against constants at the top
request_data = request.form # Takes the immutable dictionary of the user's inputs and saves it in a variable
credentials = Reader.getCsvDict("./data/credentials.txt")
if request_data["user"] in credentials and request_data["user"] != "":
if request_data["pswd"] == credentials[request_data["user"]][0]:
return "success"
else:
return render_template("form.html", error="Invalid username or password", title="Login")
else:
return render_template("form.html", error="Invalid username or password", title="Login")
else:
return "yo"
def log_in():
if request.method == "GET":
return render_template('form.html', title='login')
elif request.method == "POST": #Verifies the username and password against constants at the top
request_data = request.form #Takes the immutable dictionary of the user's inputs and saves it in a variable
credentials = Reader.getCsvDict('./data/credentials.txt')
if validate(request_data['user'], request_data['pswd']):
return render_template('form.html',
title='login',
error='Successful login')
else:
return render_template('form.html',
error='Invalid username or password',
title='Login')
else:
return 'yo'
def __init__(self):
self.G = generator_resnet('G')
self.F = generator_resnet('F')
self.Dx = discriminator('Dx')
self.Dy = discriminator('Dy')
# train graph
self.fake_pool_x = image_pool(50)
self.fake_pool_y = image_pool(50)
self.reader_x = Reader(FLAGS.ds_x)
self.reader_y = Reader(FLAGS.ds_y)
self.real_x = self.reader_x.feed()
self.fake_y = self.G(self.real_x, False)
self.cyc_x = self.F(self.fake_y, False)
self.real_y = self.reader_y.feed()
self.fake_x = self.F(self.real_y)
self.cyc_y = self.G(self.fake_x)
self.pool_x = tf.placeholder(tf.float32, [None, 256, 256, 3],
name='Dx_pool')
self.pool_y = tf.placeholder(tf.float32, [None, 256, 256, 3],
name='Dy_pool')
self.dy_fake = self.Dy(self.fake_y, False)
self.dy_real = self.Dy(self.real_y)
self.dx_fake = self.Dx(self.fake_x, False)
self.dx_real = self.Dx(self.real_x)
self.iden_x = self.G(self.real_y)
self.iden_y = self.F(self.real_x)
# loss def
self.Ix_loss = tf.reduce_mean(tf.abs(self.iden_x - self.real_y))
self.Iy_loss = tf.reduce_mean(tf.abs(self.iden_y - self.real_x))
self.I_loss = (self.Ix_loss +
self.Iy_loss) * FLAGS.lamda * FLAGS.lamda_id
self.C_loss = cyc_loss(self.real_x, self.cyc_x, self.real_y,
self.cyc_y) * FLAGS.lamda
self.G_loss = gen_loss(self.dy_fake)
self.F_loss = gen_loss(self.dx_fake)
self.loss_G = self.G_loss + self.F_loss + self.C_loss + self.I_loss
self.Dx_loss = dis_loss(self.dx_real, self.Dx(self.pool_x))
self.Dy_loss = dis_loss(self.dy_real, self.Dy(self.pool_y))
self.loss_D = self.Dx_loss + self.Dy_loss
# optim
self.lr = tf.where(
tf.greater(global_step, FLAGS.start_decay),
tf.train.polynomial_decay(FLAGS.init_lr,
global_step - FLAGS.start_decay,
FLAGS.decay_step, 0), FLAGS.init_lr)
optimizer = tf.train.AdamOptimizer(self.lr, beta1=0.5)
self.g_optim = optimizer.minimize(self.loss_G,
var_list=self.G.vars + self.F.vars)
self.d_optim = optimizer.minimize(self.loss_D,
var_list=self.Dx.vars + self.Dy.vars)
self.inc_step = tf.assign_add(global_step, 1)
self.fit_summ = tf.summary.merge([
tf.summary.scalar('lr', self.lr),
tf.summary.scalar('G_loss', self.G_loss),
tf.summary.scalar('F_loss', self.F_loss),
tf.summary.scalar('Dx_loss', self.Dx_loss),
tf.summary.scalar('Dy_loss', self.Dy_loss),
tf.summary.scalar('Ix_loss', self.Ix_loss),
tf.summary.scalar('Iy_loss', self.Iy_loss),
tf.summary.histogram('dx_fake', self.dx_fake),
tf.summary.histogram('dx_real', self.dx_real),
tf.summary.histogram('dy_fake', self.dy_fake),
tf.summary.histogram('dy_real', self.dx_real)
])
# test graph
# forward
self.reader_x_t = Reader(FLAGS.ds_x + '_t')
self.test_x = self.reader_x_t.feed(6)
self.test_fake_y = self.G(self.test_x)
self.test_cyc_x = self.F(self.test_fake_y)
# backward
self.reader_y_t = Reader(FLAGS.ds_y + '_t')
self.test_y = self.reader_y_t.feed(6)
self.test_fake_x = self.F(self.test_y)
self.test_cyc_y = self.G(self.test_fake_x)
ax.xaxis_date()
ax.xaxis.set_major_formatter(mdates.DateFormatter('%I:%M:%S %p'))
[tk.set_visible(True) for tk in ax.get_xticklabels()]
[label.set_rotation(10) for label in ax.xaxis.get_ticklabels()
] #slant the x axis tick labels for extra coolness
ax.set_xlim(incoming_data[-1], incoming_data[0])
ax.xaxis.set_major_locator(mticker.MaxNLocator(nbins=4))
plot.fill_between(tList,
incoming_data,
facecolor=plot_color,
edgecolor=plot_color,
alpha=0.5) #blue @initilization
for i, param in enumerate(param_list, 1): #tk.Label self refers to Homepage
most_recent = Reader.get_timeset(table="Sensor Plot", num=20)
Reader.close()
for j in enumerate(most_recent):
tList = most_recent[j][0]
most_recent_20 = most_recent[j][i]
param_dict[param] = Sensor_Plot(f.add_subplot(6, 2, i), most_recent_20,
'b')
for i, key in enumerate(param_dict, 1):
current_plot = param_dict[key]
current_plot.make_plot(param=key)
###ANIMATE FUNCTION, REMOVE LAST ITEM FROM MOST_RECENT_2O LIST AND INSERT FRESHLY CALLED VALUE TO INDEX[1]
def animate(ii):
def load(self,date):
if not self.data.get(date,None):
reporterPath = os.path.join(self.conf.get("SYS_HOME",""),self.conf.get("REPORTER_DATA_PATH",REPORTER_DATA_PATH),date+SUFFIX)
self.data[date] = Reader.read(reporterPath)
return self.data.get(date,None)
while True:
tic = time.time()
batch_x, batch_y1_truth, batch_y2_truth = reader.next_batch()
fd = {
x_ph: batch_x,
y1_truth_ph: batch_y1_truth,
y2_truth_ph: batch_y2_truth,
lrate_ph: lrate
}
batch_loss, batch_summary, _ = sess.run([loss, summary, train], fd)
step = tf.train.global_step(sess, step_tensor)
writer.add_summary(batch_summary, step)
if step % save_every == 0:
saver.save(sess, os.path.join(log_dir, '%d.ckpt' % step))
toc = time.time()
print('%s: step %d, loss %e, interval %f' %
(name, step, batch_loss, toc - tic))
if __name__ == '__main__':
reader = Reader(
'./data/train.txt',
'./data/wav',
1,
)
train_baseline(reader, 'baseline', './log', 0.0001)
def sendEmail(user_settings):
while True:
#if not sunday - return
weekday = datetime.today().weekday()
time = datetime.now()
hour = time.hour
minute = time.minute
second = time.second
if weekday == 6 and hour == 12 and minute == 0 and second == 0:
pass
else:
continue
config_path, db_path, _ = user_settings()
with open(config_path, 'r') as file:
config_settings = list(csv.reader(file))
strTos = config_settings[3]
strTos = list(filter(('Email').__ne__, strTos))
# Define these once; use them twice!
strFrom = '*****@*****.**'
###########
#we need to edit this so that it takes from GUI
#we will DEFINITELY have to 'import GUI'
###########
sec_per_week = 7 * 24 * 60 * 60
tsamp = 1
nsamp = 10
current_time = int(datetime.now().timestamp())
information = Reader(db_path, 'sensor_db.db').query_by_time(
current_time - 604800, current_time, '*')
#information = Reader(db_path,'sensor_db.db').query_by_num(table="SensorData", num=60480) #num is the number of data points. We need to figure out what num is for a whole week
#information = Reader(db_path,'sensor_db.db').query_by_num(table="SensorData", num= sec_per_week / (tsamp * nsamp)) #num is the number of data points. We need to figure out what num is for a whole week
#Daniel will apply SQL lite later
def funcTime(x):
return x[0]
timeInfo = list(map(funcTime, information))
timeInfo = mdates.epoch2num(timeInfo)
def func1(x):
return x[1:]
information = list(map(func1, information))
#print('information')
#print(information)
param_list = [
'pH', 'TDS (ppm)', 'Rela. Humidity (%)',
'Air Temp (\N{DEGREE SIGN}C)', 'Water Temp (\N{DEGREE SIGN}C)',
'Water Level (cm)'
]
plt.figure(figsize=(11, 8))
plt.suptitle('Weekly Graphs', fontsize=20, color='#4e2a84')
#allOfData = {}
for i in range(len(param_list)):
def func2(x):
return x[i]
partOfInfo = list(map(func2, information))
#print('part of info')
#print(partOfInfo)
#allOfData[param_list[i]] = partOfInfo
plt.subplot(3, 2, 1 + i)
plt.plot(timeInfo, partOfInfo, color='#4e2a84')
plt.title(param_list[i])
ax = plt.gca()
ax.axes.xaxis_date()
ax.axes.xaxis.set_major_formatter(mdates.DateFormatter('%a'))
title = 'thisweek.png'
table = 'table.png'
plt.tight_layout()
plt.savefig(title)
avgs = []
mins = []
maxs = []
rounding = [2, 2, 1, 1, 2, 2]
for i in range(len(param_list)):
def func2(x):
return x[i]
partOfInfo = list(map(func2, information))
partOfInfo = [x for x in partOfInfo if x]
avgs.append(round(sum(partOfInfo) / len(partOfInfo), rounding[i]))
mins.append(round(min(partOfInfo), rounding[i]))
maxs.append(round(max(partOfInfo), rounding[i]))
for strTo in strTos:
# Create the root message and fill in the from, to, and subject headers
msgRoot = MIMEMultipart('related')
msgRoot['Subject'] = 'NU-ESW Aquaponics Weekly Update'
msgRoot['From'] = strFrom
msgRoot['To'] = strTo
msgRoot.preamble = 'This is a multi-part message in MIME format.'
# Encapsulate the plain and HTML versions of the message body in an
# 'alternative' part, so message agents can decide which they want to display.
msgAlternative = MIMEMultipart('alternative')
msgRoot.attach(msgAlternative)
msgText = MIMEText('This is the alternative plain text message.')
msgAlternative.attach(msgText)
tableHtml = '''
<h2>Weekly Statistics</h2>
<div class="griddy">
<div class="item"><b>Metric</b></div>
<div class="item"><b>Average</b></div>
<div class="item"><b>Minimum</b></div>
<div class="item"><b>Maximum</b></div>
<div class="item">pH</div>
<div class="item">''' + str(avgs[0]) + '''</div>
<div class="item">''' + str(mins[0]) + '''</div>
<div class="item">''' + str(maxs[0]) + '''</div>
<div class="item">TDS (ppm)</div>
<div class="item">''' + str(avgs[1]) + '''</div>
<div class="item">''' + str(mins[1]) + '''</div>
<div class="item">''' + str(maxs[1]) + '''</div>
<div class="item">Humidity (%)</div>
<div class="item">''' + str(avgs[2]) + '''</div>
<div class="item">''' + str(mins[2]) + '''</div>
<div class="item">''' + str(maxs[2]) + '''</div>
<div class="item">Air Temp (C)</div>
<div class="item">''' + str(avgs[3]) + '''</div>
<div class="item">''' + str(mins[3]) + '''</div>
<div class="item">''' + str(maxs[3]) + '''</div>
<div class="item">Water Temp (C)</div>
<div class="item">''' + str(avgs[4]) + '''</div>
<div class="item">''' + str(mins[4]) + '''</div>
<div class="item">''' + str(maxs[4]) + '''</div>
<div class="item">Water Level (cm)</div>
<div class="item">''' + str(avgs[5]) + '''</div>
<div class="item">''' + str(mins[5]) + '''</div>
<div class="item">''' + str(maxs[5]) + '''</div>
</div>
'''
tableCss = '''
h2 {
color: #4e2a84;
font-size: 30px;
text-align: center;
}
.container {
height: 250px;
width: 100%;
margin: 0 auto;
}
.griddy {
max-width: 60%;
margin: 0 auto;
}
.item {
font-size: 15px;
color: black;
width: 22%;
float: left;
border: solid 1px black;
padding: 1%;
}
.gap {
width: 100%;
height: 10px;
}
'''
hti = Html2Image(output_path=db_path)
hti.screenshot(html_str=tableHtml,
css_str=tableCss,
save_as=table,
size=(1100, 350))
#num needs to be changed accordingly
# We reference the image in the IMG SRC attribute by the ID we give it below
#msgText = MIMEText('<b>Some <i>HTML</i> text</b> and an image.<br><img src="cid:image1"><br>Nifty!', 'html')
html = '''
<head>
<style>
header {
top: 0;
left: 0;
width: 100%;
border: solid 1px #CCC;
padding: 10px;
color: white;
background-color: #4e2a84;
}
h1 {
font-size: 40px;
}
h3 {
font-size: 20px;
}
header * {
padding: 0px;
margin: 0px;
}
</style>
</head>
<body>
<header>
<h1>AutoAquaponics</h1>
<h3>Weekly Report</h3>
</header>
<img src="cid:image2">
<section class="container"></section>
<div class="gap"></div>
<img src="cid:image1">
</body>
'''
msgText = MIMEText(html, 'html')
msgAlternative.attach(msgText)
# This example assumes the image is in the current directory
fp = open(title, 'rb')
msgImage = MIMEImage(fp.read())
fp.close()
# Define the image's ID as referenced above
msgImage.add_header('Content-ID', '<image1>')
msgRoot.attach(msgImage)
fp = open(table, 'rb')
tableImage = MIMEImage(fp.read())
fp.close()
tableImage.add_header('Content-ID', '<image2>')
msgRoot.attach(tableImage)
#otherwise it goes here
# Send the email (this example assumes SMTP authentication is required)
email = strFrom
smtp = 'smtp.gmail.com'
port = 587
password = '******'
server = smtplib.SMTP(smtp, port)
server.starttls()
server.login(email, password)
server.sendmail(email, strTo, msgRoot.as_string())
os.remove(title)
os.remove(table)
from matplotlib import dates as mdates
#import animation to make graph live
import matplotlib.animation as animation
from matplotlib import style
style.use("seaborn-darkgrid")
#import vertical scroll bar
from vertical_scroll_frame import VerticalScrolledFrame
from main import user_settings
config_path, db_path = user_settings()
#initialize channel_buttons_config, entry configs, and SQLite reader
db_name = 'sensor_testdb.db'
reader = Reader(db_path, db_name)
with open(config_path, "r") as file:
config_settings = list(csv.reader(file))
if len(config_settings) != 5:
with open(config_path, 'w', newline='') as file:
channel_buttons_config = [-1] * 16
on_config = [0] * 16
off_config = [0] * 16
upper_config = [0] * 11
lower_config = [0] * 11
writer = csv.writer(file)
writer.writerows([
channel_buttons_config, on_config, off_config, upper_config,
lower_config
])
def fit(self, train_data, target_data, valid_data=None):
'''
Fit a seq2seq model on pairs of sequences of source and target
languages.
Arguments
---------
train_data: pd.Series of sentences of the source language.
target_data: pd.Series of sentences of the target language.
valid_data: tuple of pd.Series input and output sentences.
'''
# Construct a tf.Dataset
dataset = tf.data.Dataset.from_generator(
lambda: zip(train_data, target_data), (tf.int32, tf.int32),
output_shapes=(None))
dataset = dataset.repeat(self.nb_epochs)
dataset = dataset.shuffle(buffer_size=10000)
iterator = dataset.make_one_shot_iterator()
next_element = iterator.get_next()
# Init
c_train = np.zeros((self.batch_size, self.hidden_size))
epoch = 1
avg_train_loss = 0
nb_batch = 0
# Sentence reader
reader = Reader(batch_size=self.batch_size,
nb_sentences=train_data.shape[0],
nb_epochs=self.nb_epochs,
tf_session=self.session,
iterator=next_element)
while True:
try:
x, y, shifted_y = reader.generate_batch()
fd = {
self.input: x,
self.gt: y,
self.shifted_gt: shifted_y,
self.c_t: c_train
}
# Run backprop
_, train_loss = self.session.run(
[self.optimizer, self.avg_loss], feed_dict=fd)
avg_train_loss += train_loss
nb_batch += 1
# Print
if reader.iter >= epoch * train_data.shape[0] - self.batch_size:
if self.folder is not None:
self.save(self.folder + "epoch" + str(epoch) + "/" + \
str(self.model_name) + ".ckpt")
reader.pbar.write("Epoch %d" % epoch)
reader.pbar.write(" Training loss: %.6f" %
(avg_train_loss / nb_batch))
if valid_data is not None:
bleu = self.evaluate(valid_data)
reader.pbar.write(" Validation bleu score: %.6f" %
bleu)
epoch += 1
avg_train_loss = 0
nb_batch = 0
except tf.errors.OutOfRangeError:
reader.pbar.close()
break
def sendEmail(user_settings):
while True:
#if not sunday - return
weekday = datetime.today().weekday()
time = datetime.now()
hour = time.hour
minute = time.minute
second = time.second
if weekday == 6 and hour == 12 and minute == 0 and second == 0:
pass
else:
continue
config_path, db_path, _ = user_settings()
with open(config_path, 'r') as file:
config_settings = list(csv.reader(file))
strTos = config_settings[3]
strTos = list(filter(('Email').__ne__, strTos))
# Define these once; use them twice!
strFrom = '*****@*****.**'
###########
#we need to edit this so that it takes from GUI
#we will DEFINITELY have to 'import GUI'
###########
sec_per_week = 7 * 24 * 60 * 60
tsamp = 1
nsamp = 5
information = Reader(db_path,'sensor_db.db').get_timeset(table="SensorData", num= sec_per_week / (tsamp * nsamp)) #num is the number of data points. We need to figure out what num is for a whole week
#Daniel will apply SQL lite later
def func1(x):
return x[1:]
information = list(map(func1,information))
#print('information')
#print(information)
param_list = ['pH', 'TDS (ppm)', 'Rela. Humidity (%)', 'Air Temp (\N{DEGREE SIGN}C)', 'Water Temp (\N{DEGREE SIGN}C)', 'Water Level (cm)']
plt.figure(figsize = (12,12))
plt.suptitle('Weekly Stats', fontsize = 30)
#allOfData = {}
for i in range(len(param_list)):
def func2(x):
return x[i]
partOfInfo = list(map(func2,information))
#print('part of info')
#print(partOfInfo)
#allOfData[param_list[i]] = partOfInfo
plt.subplot(2,3,1+i)
plt.plot(partOfInfo)
plt.title(param_list[i])
ax = plt.gca()
ax.axes.xaxis.set_visible(False)
title = 'thisweek.png'
plt.tight_layout()
plt.savefig(title)
for strTo in strTos:
# Create the root message and fill in the from, to, and subject headers
msgRoot = MIMEMultipart('related')
msgRoot['Subject'] = 'NU-ESW Aquaponics Weekly Update'
msgRoot['From'] = strFrom
msgRoot['To'] = strTo
msgRoot.preamble = 'This is a multi-part message in MIME format.'
# Encapsulate the plain and HTML versions of the message body in an
# 'alternative' part, so message agents can decide which they want to display.
msgAlternative = MIMEMultipart('alternative')
msgRoot.attach(msgAlternative)
msgText = MIMEText('This is the alternative plain text message.')
msgAlternative.attach(msgText)
#num needs to be changed accordingly
# We reference the image in the IMG SRC attribute by the ID we give it below
#msgText = MIMEText('<b>Some <i>HTML</i> text</b> and an image.<br><img src="cid:image1"><br>Nifty!', 'html')
msgText = MIMEText('<b>Here are the graphs for the weekly values.</b><br><img src="cid:image1"><br>', 'html')
msgAlternative.attach(msgText)
# This example assumes the image is in the current directory
fp = open(title, 'rb')
msgImage = MIMEImage(fp.read())
fp.close()
# Define the image's ID as referenced above
msgImage.add_header('Content-ID', '<image1>')
msgRoot.attach(msgImage)
#otherwise it goes here
# Send the email (this example assumes SMTP authentication is required)
email = strFrom
smtp = 'smtp.gmail.com'
port = 587
password = '******'
server = smtplib.SMTP(smtp, port)
server.starttls()
server.login(email,password)
server.sendmail(email, strTo, msgRoot.as_string())
os.remove(title)
