def get_most_recent_df():
errors = []
df = pd.DataFrame()
try:
df = df.append(data.get_arcgis_df())
except Exception:
errors.append(traceback.format_exc())
try:
df = df.append(data.get_worldometer_df())
except Exception:
errors.append(traceback.format_exc())
try:
df = df.append(data.get_wikipedia_df())
except Exception:
errors.append(traceback.format_exc())
try:
df = df.append(data.get_john_hopkins_df())
except Exception:
errors.append(traceback.format_exc())
try:
df = df.append(data.get_nyt_df())
except Exception:
errors.append(traceback.format_exc())
if errors:
print(*errors)
alert(*errors)
df = df.astype({
'confirmed': int,
'deaths': int,
'recovered': int
}) # Make sure they are ints
if not os.path.isdir(LOG_DIR):
os.mkdir(LOG_DIR)
# Keep rows that are most recent (sort by deaths, if tie then confirmed)
df = df.sort_values(['codes', 'deaths', 'confirmed'], ascending=False)
df.to_csv(os.path.join(LOG_DIR, 'debug1.csv'), index=False)
grouped = df.groupby('codes')
df = grouped.nth(1) # Pick second value in case first is way off
df = df.reset_index()
print(df.source.value_counts())
add_cols_to_df(df)
df.to_csv(os.path.join(LOG_DIR, 'debug2.csv'), index=False)
return df
def display(sec):
bloodp = bp(sec)
#print("got bp")
heartp = pulse(sec)
# print("length of pulse ", len(bloodp))
today = date.today()
dispsec = 5
## must give a time interval lower than 10
if sec > 5:
print("Your second interval should be less than 5")
else:
print("************************VITALS*************************")
print("****************DATE: ", today, " *********************")
#for i in range(0,len(bloodp),dispsec):
for i in range(0, 25):
now = datetime.now()
tf = now.strftime("%H:%M:%S")
print(tf, " Blood Pressure ", bloodp[i][0], " / ", bloodp[i][1])
print(tf, " Pulse ", heartp[i])
time.sleep(dispsec)
if alert(bloodp[i], heartp[i]) == True:
print(tf, " CHECK PATIENT VITALS, ALERT CONDITION FOUND")
def get_last_n(postal_code, column):
'''Gets last n confirmed cases or deaths for the last number of days'''
todays_date = datetime.now(timezone(REFERENCE_TZ)).date()
idx = pd.date_range(todays_date - timedelta(NUM_DAYS), todays_date)
sr = get_data_per_day_from_file(postal_code, column, NUM_DAYS)
sr = sr.reindex(idx, fill_value=0)
if postal_code in ['PR']:
sr = get_data_per_day_from_ctp(postal_code, column, NUM_DAYS)
sr = sr.reindex(idx, fill_value=0)
sr = sr.dropna().astype(int)
# If a value is really large, report it since it could be a mistake
if sr[-2] > 5:
if sr[-1] > (4 * sr[-2]):
alert(postal_code, column, sr[-2], sr[-1])
if sr[-3] > 5:
if sr[-2] <= 0:
alert(postal_code, sr[-2])
return sr
def test_alerts(self):
self.assertEqual(alert(self.title, self.message), self.alert)
self.assertEqual(success_alert(self.title, self.message), self.success_alert)
self.assertEqual(error_alert(self.title, self.message), self.error_alert)
self.assertEqual(info_alert(self.title, self.message), self.info_alert)
def captures(names):
file1 = open("admin_files/logs.txt", "a+")
file2 = open("admin_files/mobile_no.txt", "r")
data = file2.read()
file2.close()
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read('trainer.yml')
cascadePath = 'haarcascade_frontalface_default.xml'
faceCascade = cv2.CascadeClassifier(cascadePath)
font = cv2.FONT_HERSHEY_SIMPLEX
id = 0
cam = cv2.VideoCapture(0)
#Variable to counter valid and invalid
valid = 0
invalid = 0
flag = 0
while (flag == 0):
ret, img = cam.read()
img = cv2.flip(img, 1)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(gray,
scaleFactor=1.2,
minNeighbors=3,
minSize=(10, 10))
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 0, 255), 2)
id, confidence = recognizer.predict(gray[y:y + h, x:x + w])
text = ""
if (confidence < 50):
valid += 1
text = names[id]
if (valid >= 60):
cv2.putText(img, str("Logged to system"), (x + 5, y - 5),
font, 1, (255, 255, 255), 2)
cv2.putText(img, str("Paused for few minutes.."),
(x + 5, y + 5 + 270), font, 1, (255, 255, 255),
2)
cv2.imshow('camera', img)
if cv2.waitKey(1) & 0xFF == ord('q'):
flag = 1
break
x = datetime.datetime.now()
x = x.strftime("%m/%d/%Y, %H:%M:%S")
msg = "\n " + text + " logged at " + x
file1.write(msg)
valid = 0
invalid = 0
time.sleep(3)
else:
cv2.putText(img, str("Detected " + text), (x + 5, y - 5),
font, 1, (255, 255, 255), 2)
cv2.imshow('camera', img)
if cv2.waitKey(1) & 0xFF == ord('q'):
flag = 1
break
else:
invalid += 1
if (invalid >= 150):
cv2.putText(
img,
str("Cannot detect the face system will be alerted.."),
(x + 5, y - 5), font, 1, (255, 255, 255), 2)
cv2.imshow('camera', img)
if cv2.waitKey(1) & 0xFF == ord('q'):
flag = 1
break
alerts.alert(data)
invalid = 0
valid = 0
else:
cv2.putText(img, str("Detecting.."), (x + 5, y - 5), font,
1, (255, 255, 255), 2)
cv2.imshow('camera', img)
if cv2.waitKey(1) & 0xFF == ord('q'):
flag = 1
break
cv2.imshow('camera', img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cam.release()
cv2.destroyAllWindows()
file1.close()