import tldextract
import json
import firebase_admin
from firebase_admin import credentials, firestore
from config import PROJECT
# initialize firebase sdk
CREDENTIALS = credentials.ApplicationDefault()
firebase_admin.initialize_app(CREDENTIALS, {
'projectId': PROJECT,
})
# get firestore client
db = firestore.client()
# Keyword Array filled in by daya in Firestore
keywords = []
fallback = 'Sorry, I cannot think of a reply for that.'
result = ''
query = 'greenpeace t-shirt'
try:
search_result_list = list(search(query, tld="com", num=100, pause=3))
for search in search_result_list:
page = requests.get(search)
def upload_average(data):
db = firestore.client()
db.collection("general_information").document("daily_average").set(data)
def init_firebase(token):
cred = credentials.Certificate(token)
firebase_admin.initialize_app(cred)
db = firestore.client()
return db
def schedule_test_request():
cornell_email = os.environ.get("cornell_email")
cornell_netid = cornell_email[:cornell_email.find('@')]
# Use the application default credentials
cred = credentials.Certificate('if-no-corona-1851477ee5bc.json')
firebase_admin.initialize_app(cred)
db = firestore.client()
user_ref = db.collection(u'users').document(cornell_netid)
user_doc = user_ref.get()
first_name = user_doc.get('firstName')
last_name = user_doc.get('lastName')
college = user_doc.get('college')
date_of_birth = user_doc.get('dateOfBirth')
# print(str(date_of_birth))
# print(type(date_of_birth))
addr_template = "https://register.cayugahealth.com/patient-registration/employee?employer=Cornell-Surveillance&hideInsurance=1&hideEmergencyContact=1&sourceSystemPatientId=%s&firstName=%s&lastName=%s"
addr = addr_template % (cornell_netid, first_name, last_name)
with webdriver.Chrome() as driver:
# First page
driver.get(addr)
time.sleep(1)
button_wrapper = driver.find_element_by_class_name('button-solid')
shadow_section = expand_shadow_element(driver, button_wrapper)
next_button = shadow_section.find_element_by_class_name(
'button-native')
ActionChains(driver).move_to_element(next_button).click(
next_button).perform()
# Second page
time.sleep(1)
#have_registered_form = driver.find_element_by_xpath("//ion-item[@class='item-interactive']")
have_registered_form = driver.find_element_by_xpath(
"//ion-select[@name='hasPreviouslyRegistered']")
ActionChains(driver).move_to_element(have_registered_form).click(
have_registered_form).perform()
ion_item = have_registered_form.find_element_by_class_name(
'ion-activated')
time.sleep(1)
yes_option = ion_item
ActionChains(driver).move_to_element(yes_option).click(
yes_option).perform()
#have_registered_shadow = expand_shadow_element(driver, have_registered_form)
#yn_dropdown_button = have_registered_shadow.
#yn_dropdown_button.click()
print("================")
# select_yn = shadow_dropdown.find_elements_by_xpath()
# shadow_select_yn = expand_shadow_element(driver, select_yn)
# next_button = fetch_only_element(driver, "//ion-button[@value='...']")
# next_button.click()
# prev_registered_button = fetch_only_element(driver, "//button[@value='']")
# prev_registered_button.click()
time.sleep(10)
def get(self):
print(g.args)
if firebase_admin._DEFAULT_APP_NAME not in firebase_admin._apps:
cred = credentials.Certificate('serviceAccountKey.json')
firebase_admin.initialize_app(cred)
db = firestore.client()
users_ref = db.collection(u'users')
if 'username' in g.args.keys():
query = users_ref.document(g.args['username'])
data = query.get().to_dict()
if data == None:
respond = {'status': 1}
return respond, 200, None
print(data)
body = {
'username': query.id,
'current_certification': data['current_certification'],
'first_name': data['first_name'],
'last_name': data['last_name'],
'isSupervisor': data['supervisor_approved'],
'messenger_ID': data['messenger_uid'],
'program_uid': data['program_uid'],
'specialist_level': data['specialist_level'],
'verify_token': data['verify_token']
}
respond = {'status': 0, 'body': body}
return respond, 200, None
if 'verify_token' in g.args.keys():
query = users_ref.where(u'verify_token', u'==',
g.args['verify_token']).stream()
docs = []
for doc in query:
docs.append((doc.id, doc.to_dict()))
if docs == []:
respond = {'status': 1}
return respond, 404, None
print(docs)
id = docs[0][0]
data = docs[0][1]
body = {
'username': id,
'current_certification': data['current_certification'],
'first_name': data['first_name'],
'last_name': data['last_name'],
'isSupervisor': data['supervisor_approved'],
'messenger_ID': data['messenger_uid'],
'program_uid': data['program_uid'],
'specialist_level': data['specialist_level'],
'verify_token': data['verify_token']
}
respond = {'status': 0, 'body': body}
return respond, 200, None
if 'messenger_ID' in g.args.keys():
query = users_ref.where(u'messenger_uid', u'==',
g.args['messenger_ID']).stream()
docs = []
for doc in query:
docs.append((doc.id, doc.to_dict()))
if docs == []:
respond = {'status': 1}
return respond, 404, None
print(docs)
id = docs[0][0]
data = docs[0][1]
body = {
'username': id,
'current_certification': data['current_certification'],
'first_name': data['first_name'],
'last_name': data['last_name'],
'isSupervisor': data['supervisor_approved'],
'messenger_ID': data['messenger_uid'],
'program_uid': data['program_uid'],
'specialist_level': data['specialist_level'],
'verify_token': data['verify_token']
}
respond = {'status': 0, 'body': body}
return respond, 200, None
if 'name' in g.args.keys():
try:
first_name, last_name = g.args['name'].split('_')
except ValueError:
respond = {'status': 2}
return respond, 200, None
query = users_ref.where(u'first_name', u'==',
first_name).where(u'last_name', u'==',
last_name).stream()
docs = []
for doc in query:
docs.append((doc.id, doc.to_dict()))
if docs == []:
respond = {'status': 1}
return respond, 404, None
print(docs)
id = docs[0][0]
data = docs[0][1]
body = {
'username': id,
'current_certification': data['current_certification'],
'first_name': data['first_name'],
'last_name': data['last_name'],
'isSupervisor': data['supervisor_approved'],
'messenger_ID': data['messenger_uid'],
'program_uid': data['program_uid'],
'specialist_level': data['specialist_level'],
'verify_token': data['verify_token']
}
respond = {'status': 0, 'body': body}
return respond, 200, None
def __init__(self):
self.app = initialize_app(credentials.Certificate(os.path.dirname(__file__) + r'\static\auth\firebase_auth.json'),{'storageBucket':'trader-3870e.appspot.com'},str(uuid.uuid4()))
self.fb = firestore.client(app=self.app)
self.bucket = storage.bucket(app=self.app)
name = input("Enter Equipment Name >> ")
owner = None
while not owner:
owner = input("Enter Ownership Here >> ")
d2[t] = (name, owner)
collect_data(ref, tags, d2)
def do_highlight(self, arg):
"""test highlight"""
ls = arg.split()
for l in ls:
a = cv2.imread(l, cv2.IMREAD_GRAYSCALE)
cv2.imwrite('highlighted_' + l, highlight_image(a))
def do_exit(self, arg):
sys.exit()
if __name__ == '__main__':
if not len(firebase_admin._apps):
cred = credentials.Certificate("technica2019-firebase-adminsdk-2gyis-fdf3974fd6.json")
app = firebase_admin.initialize_app(cred, {
'projectId': 'technica2019',
})
else:
app = firebase_admin.get_app()
ref = firestore.client()
CommandLineTool().cmdloop()
def __init__(self) -> None:
self.client = firestore.client()
self.collection = self.client.collection("stocks")
def __init__(self):
_cert_path = os.path.join(os.getcwd(), "sutdieeeweb.json")
cred = credentials.Certificate(_cert_path)
_db = firebase_admin.initialize_app(cred)
self.client = firestore.client(_db)
def sendDataToFirebase():
db = firestore.client()
doc_ref = db.collection("system-monitor").document(get_host_ip())
doc_ref.set(doc)
def __init__(self) -> None:
self.client = firestore.client()
self.db = self.client.collection('portfolio')
def __init__(self,
mapper,
creds_path,
project_id=None,
custom_token=None,
api_key=None,
validator=None,
read_only=False,
name=None,
namespace=None
):
self.mapper = mapper
self.validator = validator
self.read_only = read_only
self.api_key = api_key
self.namespace = namespace
self.expires = None
self.data_adapter = FirestoreDataAdapter()
# Use a service account
options = {"httpTimeout": 5}
app = None
if custom_token is not None:
# from device client
self.user = self.sign_in_with_custom_token(custom_token)
self.update_expires()
self.creds = CustomToken(self.user["idToken"], project_id)
app_name = name if name else firebase_admin._DEFAULT_APP_NAME
try:
app = firebase_admin.get_app(name=app_name)
except ValueError as e:
# ugly hack to account for different behaviour of google libs
try:
app = firebase_admin.initialize_app(self.creds, name=app_name, options=options)
except Exception as e:
self.creds = self.creds.get_credential()
app = firebase_admin.initialize_app(self.creds, name=app_name, options=options)
elif creds_path is not None:
# in dev with service creds
try:
self.creds = credentials.Certificate(creds_path)
app = firebase_admin.initialize_app(self.creds, options=options)
except ValueError as e:
print("already initaialised")
else:
# in app engine environment
already_initialised = firebase_admin._DEFAULT_APP_NAME in firebase_admin._apps
if not already_initialised:
app = firebase_admin.initialize_app(options=options)
self.db = firestore.client(app=app)
self.app = app
def __init__(self):
self.db = firestore.client()
def get_database_client(firestore_API_key: str):
cred = credentials.Certificate(firestore_API_key)
firebase_admin.initialize_app(cred)
return firestore.client()
def deleteSmarthome(collection, userId):
db = firestore.client()
db.collection(collection).document(userId).delete()
return print("delete" + collection + " smarthome in the database")
def __init__(self, cred, col_name):
#firebase_admin.initialize_app(credentials.Certificate(cred))
self.col_ref = firestore.client().collection(col_name)
self.doc_ref = None
def get_conn():
if 'conn' in g and g.conn is not None:
return g.conn
else:
g.conn = firestore.client()
return g.conn
def extractFromFirstProjectOfFirebase(cred):
app = firebase_admin.initialize_app(cred)
db = firestore.client()
delete_app(app)
return db
# Server Routes for Flask
import datetime
import time
import requests
import flask
from firebase_admin import auth, firestore
from firebase_admin import exceptions
from flask import Blueprint, render_template, redirect, url_for, request, flash, session
import json
from .python_firebase.firebase_connect import firebase_app
server_bp = Blueprint('server_bp', __name__)
client = firestore.client(app=firebase_app)
@server_bp.route('/login')
def login():
return render_template('login.html', navigation=dynamic_nav())
@server_bp.route('/login', methods=['POST'])
def login_post():
from .python_firebase.firebase_custom import fireAuth
email = request.form.get('email')
password = request.form.get('password')
try:
user = fireAuth.sign_in_with_email_and_password(email, password)
from firebase_admin import credentials, firestore
from flask_cors import CORS
import firebase_admin
import json, os
cred = credentials.Certificate(json.loads(os.environ["PROJECT_AUTH"]))
firebase_admin.initialize_app(cred)
fireClient = firestore.client()
from flask import Flask, render_template, session, redirect, request
from flask_socketio import SocketIO
socketio = SocketIO(logger=True)
from socraticos.blueprints import users, groups, chat, auth
def create_app():
app = Flask(__name__)
# TODO: CHANGE THIS!!!
app.secret_key = "DEVELOPMENT"
CORS(app)
app.register_blueprint(users.users, url_prefix="/users")
app.register_blueprint(groups.groups, url_prefix="/groups")
app.register_blueprint(auth.auth, url_prefix="/auth")
@app.before_request
def log_request_info():
app.logger.debug('JSON: %s', request.get_json())
# Redirect to API documentation
def __init__(self):
# Use a service account
cred = credentials.Certificate('seek-525ee-2cc702803f50.json')
firebase_admin.initialize_app(cred)
self.db = firestore.client()
def doctor(pid, did):
import datetime
import pandas as pd
import numpy as np
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
from firebase_admin import storage
import pyrebase
from datetime import date, timedelta
import urllib.request, json
import time
from matplotlib import pyplot as plt
import matplotlib.dates as mdates
import os
import csv
from IPython.display import display
from Model import trainData
import random
# from google.cloud import storage
from matplotlib.patches import Ellipse
import seaborn as sns
import matplotlib.patches as mpatches
# signal processing
from scipy import signal
from scipy.ndimage import label
from scipy.stats import zscore
from scipy.interpolate import interp1d
from scipy.integrate import trapz
# misc
import warnings
# generate pdf
from reportlab.pdfgen import canvas
from reportlab.lib.colors import Color, lightblue, black
# In[97]:
if not firebase_admin._apps:
cred = credentials.Certificate("serene-firebase-adminsdk.json")
app = firebase_admin.initialize_app(
cred, {
'storageBucket': 'serene-2dfd6.appspot.com',
},
name='[DEFAULT]')
else:
app = firebase_admin.get_app()
db = firestore.client()
# In[98]:
today = datetime.datetime.now()
timestamp = today.strftime("%Y-%m-%d")
bucket = storage.bucket(app=app)
# ## Get data from storage and get list of dates (2 weeks)
# In[99]:
# get a a list of date between start and end date
userID = pid
doctorID = did
duration = 15 # two weeks
dates = []
for x in range(0, duration):
today = date.today() # revert to original
# yesterday = today - datetime.timedelta(days=1)
start_date = (today - timedelta(days=duration - x)).isoformat()
dates.append(start_date)
# In[100]:
df = pd.DataFrame()
notAvailableDates = []
# loop through the storage and get the data
sleep = []
for x in range(0, len(dates)):
# Sleep
blob = bucket.blob(userID + "/fitbitData/" + dates[x] + "/" +
dates[x] + "-sleep.json")
# download the file
u = blob.generate_signed_url(datetime.timedelta(seconds=300),
method='GET')
try:
with urllib.request.urlopen(u) as url:
data = json.loads(url.read().decode())
sleepMinutes = data['summary']["totalMinutesAsleep"]
except:
notAvailableDates.append(dates[x])
pass
# Activity (Steps)
blob = bucket.blob(userID + "/fitbitData/" + dates[x] + "/" +
dates[x] + "-activity.json")
# download the file
u = blob.generate_signed_url(datetime.timedelta(seconds=300),
method='GET')
try:
with urllib.request.urlopen(u) as url:
data = json.loads(url.read().decode())
steps = data['summary']["steps"]
except:
notAvailableDates.append(dates[x])
pass
# heartrate
heart_rate = {}
blob = bucket.blob(userID + "/fitbitData/" + dates[x] + "/" +
dates[x] + "-heartrate.json")
u = blob.generate_signed_url(datetime.timedelta(seconds=300),
method='GET')
try:
with urllib.request.urlopen(u) as url:
data = json.loads(url.read().decode())
df_heartrate = pd.DataFrame(
data['activities-heart-intraday']['dataset'])
df_heartrate.time.apply(str)
df_heartrate['time'] = pd.to_datetime(df_heartrate['time'])
df_heartrate['hour'] = df_heartrate['time'].apply(
lambda time: time.strftime('%H'))
df_heartrate.drop(['time'], axis=1, inplace=True)
heart_rate = df_heartrate.groupby(["hour"], as_index=False).mean()
heart_rate['sleepMin'] = sleepMinutes
heart_rate['TotalSteps'] = steps
heart_rate['date'] = dates[x]
heart_rate = heart_rate.astype({"hour": int})
except:
notAvailableDates.append(dates[x])
pass
# append dataframe
df = df.append(heart_rate, ignore_index=True)
# In[101]:
notAvailableDates
notSyncedDates = pd.DataFrame()
notSyncedDates['date'] = notAvailableDates
# In[102]:
notSyncedDates = notSyncedDates.drop_duplicates()
# In[103]:
notSyncedDates
# ### Get user location
# In[104]:
# get location from database
loc_df = pd.DataFrame()
locID = []
locations = db.collection(u'PatientLocations').where(
u'patientID', u'==', userID).stream()
for location in locations:
loc1 = location.to_dict()
locID.append(location.id)
loc_df = loc_df.append(pd.DataFrame(loc1, index=[0]),
ignore_index=True)
loc_df['id'] = locID
# In[105]:
loc_df.drop(['anxietyLevel', 'lat', 'lng', 'patientID'],
axis=1,
inplace=True)
# In[106]:
loc_df.time.apply(str)
loc_df['time'] = pd.to_datetime(loc_df['time'])
loc_df['date'] = pd.to_datetime(loc_df['time'], format='%Y:%M:%D').dt.date
loc_df['hour'] = loc_df['time'].apply(lambda time: time.strftime('%H'))
loc_df.drop(['time'], axis=1, inplace=True)
loc_df.hour = loc_df.hour.astype(int)
loc_df.date = loc_df.date.astype(str)
df.date = df.date.astype(str)
# In[107]:
dfinal = pd.merge(left=df,
right=loc_df,
how='left',
left_on=['hour', 'date'],
right_on=['hour', 'date']).ffill()
# ### Test data into model
# In[108]:
# test model
train_df = dfinal.rename(columns={'value': 'Heartrate'})
# In[109]:
Labeled_df = pd.DataFrame()
Labeled_df = trainData(train_df)
# In[110]:
Labeled_df.drop(['lon'], axis=1, inplace=True)
# In[111]:
Labeled_df['name'].fillna("Not given", inplace=True)
Labeled_df['id'].fillna("Not given", inplace=True)
Labeled_df['anxiety_assigned'].fillna('Not given', inplace=True)
# In[112]:
# Update firebase with the user anxiety level
for row in Labeled_df.itertuples():
if row.id != 'Not given':
if row.Label == 'Low' or row.Label == 'LowA':
anxietyLevel = '1'
elif row.Label == 'Meduim':
anxietyLevel = '2'
else:
anxietyLevel = '3'
if row.anxiety_assigned == False or row.anxiety_assigned == 'Not given':
doc_ref = db.collection(u'PatientLocations').document(row.id)
doc_ref.update({
u'anxietyLevel': anxietyLevel,
u'anxiety_assigned': True
})
# ### Show the places with highest anxiety level
# In[113]:
# Show the highest level
df_high = pd.DataFrame()
df_high = Labeled_df[Labeled_df.Label == 'High']
# # Get patient information
# In[114]:
docDf = pd.DataFrame()
doc_ref = db.collection(u'Patient').document(userID)
doc = doc_ref.get().to_dict()
docDf = docDf.append(pd.DataFrame(doc, index=[0]), ignore_index=True)
# In[115]:
age1 = docDf['age'].values
name1 = docDf['name'].values
emp1 = docDf['employmentStatus'].values
mar1 = docDf['maritalStatus'].values
income1 = docDf['monthlyIncome'].values
chronicD1 = docDf['chronicDiseases'].values
smoke1 = docDf['smokeCigarettes'].values
gad1 = docDf['GAD-7ScaleScore'].values
gender1 = docDf['gender'].values
age = age1[0]
name = name1[0]
emp = emp1[0]
mar = mar1[0]
income = income1[0]
chronicD = chronicD1[0]
smoke = smoke1[0]
gad = gad1[0]
gender = gender1[0]
# ## Storage intiliazation
# In[116]:
firebaseConfig = {
"apiKey": "AIzaSyBoxoXwFm9TuFysjQYag0GB1NEPyBINlTU",
"authDomain": "serene-2dfd6.firebaseapp.com",
"databaseURL": "https://serene-2dfd6.firebaseio.com",
"projectId": "serene-2dfd6",
"storageBucket": "serene-2dfd6.appspot.com",
"messagingSenderId": "461213981433",
"appId": "1:461213981433:web:62428e3664182b3e58e028",
"measurementId": "G-J66VP2Y3CR"
}
firebase = pyrebase.initialize_app(firebaseConfig)
storage = firebase.storage()
# # HR
# In[117]:
sns.set(rc={'axes.facecolor': '#fcfeff'})
# In[118]:
# Take the highest heartrate in a day
dfhr = pd.DataFrame()
hr = []
hrr = 0
rowCount = 1
for x in range(0, len(dates)):
rowCount = 0
for row in df.itertuples():
if (row.date == dates[x]):
if (row.value > rowCount):
rowCount = row.value
hr.append(rowCount)
dfhr['date'] = dates
dfhr['hr'] = hr
# In[119]:
plt.figure(figsize=(20, 7))
plt.plot(dfhr['date'], dfhr['hr'], color="#a03e3e", linewidth=4)
plt.xlabel("Date", fontsize=16)
plt.ylabel("Amplitude (bpm)")
plt.tick_params(axis='x', rotation=70)
plt.tight_layout()
plt.savefig('hr.png', dpi=None)
# plt.show()
# plt.draw()
# # Steps
# In[120]:
dfstep = pd.DataFrame()
avgSteps = []
totalsteps = 0
rowCount = 1
for x in range(0, len(dates)):
for row in Labeled_df.itertuples():
if (row.date == dates[x]):
rowCount += 1
totalsteps += row.TotalSteps
avgSteps.append(totalsteps / rowCount)
dfstep['date'] = dates
dfstep['Steps'] = avgSteps
# In[121]:
# Plot Steps
plt.figure(figsize=(20, 7))
# plt.fill_between(dfstep['date'], dfstep['Steps'], color="#ffd6b0", linewidth=1)
plt.plot(dfstep['date'],
dfstep['Steps'],
color="#ff5900",
linewidth=4,
marker='o',
markerfacecolor='#ffd6b0')
plt.xlabel("Date", fontsize=16)
plt.ylabel("Total steps")
plt.tick_params(axis='x', rotation=70)
plt.tight_layout()
plt.savefig('steps.png', dpi=None)
# plt.show()
# plt.draw()
# # Sleep
# In[122]:
dfsleep = pd.DataFrame()
sleeps = []
totalsleep = 0
rowCount = 1
for x in range(0, len(dates)):
for row in df.itertuples():
if (row.date == dates[x]):
totalsleep = row.sleepMin
sleeps.append(totalsleep / 60)
dfsleep['date'] = dates
dfsleep['sleep'] = sleeps
# In[123]:
figs = dfsleep.plot.bar(x='date',
y='sleep',
rot=70,
width=0.25,
color='#3629a6',
capstyle='round').get_figure()
figs.set_size_inches(20, 10)
plt.xlabel('Date')
plt.ylabel('Sleep (hr)')
# plt.show()
# plt.draw()
plt.tight_layout()
figs.savefig('sleep.png', dpi=None)
# # AL
# In[124]:
# Change Label values to num, to represent them in a barchart
nums = []
for row in Labeled_df.itertuples():
if row.Label == 'Low' or row.Label == 'LowA':
nums.append(1)
elif row.Label == 'Meduim':
nums.append(2)
else:
nums.append(3)
Labeled_df['numLabel'] = nums
# In[125]:
# Get anxiety level by day and store it in a new data frame
plot_df = pd.DataFrame()
avgAnxiety = []
totalAnxiety = 0
rowCount = 1
for x in range(0, len(dates)):
totalAnxiety = 0
rowCount = 1
for row in Labeled_df.itertuples():
if (row.date == dates[x]):
rowCount += 1
totalAnxiety += row.numLabel
avgAnxiety.append(totalAnxiety / rowCount)
plot_df['date'] = dates
plot_df['Anxiety'] = avgAnxiety
# In[126]:
fig, ax = plt.subplots()
# Draw the stem and circle
c1 = '#9dd6f5'
c2 = '#4ba0d1'
c3 = '#23495f'
bar_width = 0.25
for t, y in zip(plot_df["date"], plot_df["Anxiety"]):
c = ""
if (y <= 1):
c = c1
elif (1 < y <= 2):
c = c2
elif (y > 2):
c = c3
plt.bar([t, t], [0, y], bar_width, color=c)
colors = [[c1, c1], [c2, c2], [c3, c3]]
categories = ['Low', 'Meduim', 'High']
# create dict
legend_dict = dict(zip(categories, colors))
# create patches
patchList = []
for key in legend_dict:
data_key = mpatches.Patch(facecolor=legend_dict[key][0],
edgecolor=legend_dict[key][1],
label=key)
patchList.append(data_key)
ax.legend(handles=patchList, ncol=len(categories), fontsize=12)
plt.tick_params(axis='x', rotation=70)
# Start the graph at 0
ax.set_ylim(0, 3)
fig.set_size_inches(15.5, 10)
plt.tight_layout()
plt.xlabel('Date')
ax.yaxis.set_label_coords(-0.02, 0.48)
# volo insert
# plt.show()
fig.savefig('AL.png', dpi=None)
# # Location Analysis
# In[127]:
# get location from database
new_loc = pd.DataFrame()
locID = []
locations = db.collection(u'PatientLocations').where(
u'patientID', u'==', userID).stream()
for location in locations:
loc = location.to_dict()
locID.append(location.id)
new_loc = new_loc.append(pd.DataFrame(loc, index=[0]),
ignore_index=True)
new_loc['id'] = locID
# In[128]:
new_loc.time.apply(str)
new_loc['time'] = pd.to_datetime(new_loc['time'])
new_loc['date'] = pd.to_datetime(new_loc['time'],
format='%Y:%M:%D').dt.date
new_loc.drop(['time'], axis=1, inplace=True)
new_loc.date = new_loc.date.astype(str)
# In[129]:
new_loc = new_loc[(new_loc.date >= dates[0])
& (new_loc.date <= dates[len(dates) - 1])]
# In[130]:
names = []
Name = ""
for row in new_loc.itertuples():
Name = row.nearestLoc
names.append(Name)
# In[131]:
new_name = pd.DataFrame()
new_name['name'] = names
# In[132]:
new_name = new_name.drop_duplicates()
new_name.dropna()
# In[133]:
fnames = []
fName = ""
for row in new_name.itertuples():
fName = row.name
fnames.append(fName)
# In[134]:
analysis = pd.DataFrame()
count = 0
i = 0
# label = ""
locationName = ""
near = ''
nearLocs = []
counts = []
# labels = []
locationNames = []
for x in range(0, len(fnames)):
count = 0
locName = fnames[i]
for row in new_loc.itertuples():
if (locName == row.nearestLoc):
if (row.anxietyLevel == '3'):
count += 1
# label = row.anxietyLevel
locationName = row.name
near = row.nearestLoc
i += 1
counts.append(count)
# labels.append(label)
locationNames.append(locationName)
nearLocs.append(near)
analysis['Location'] = locationNames
analysis['Frequency'] = counts
# analysis ['Anxiety Level'] = labels
analysis['Nearest Location'] = nearLocs
# In[135]:
# newA = analysis.drop(analysis[analysis['Number of occurrences'] == 0].index, inplace=True)
# In[136]:
import six
import arabic_reshaper
from bidi.algorithm import get_display
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.lib import colors
# In[137]:
def render_mpl_table(data,
col_width=5.0,
row_height=0.625,
font_size=14,
header_color='#23495f',
row_colors=['#e1eff7', 'w'],
edge_color='#23495f',
bbox=[0, 0, 1, 1],
header_columns=0,
ax=None,
**kwargs):
if ax is None:
size = (np.array(data.shape[::-1]) + np.array([0, 1])) * np.array(
[col_width, row_height])
fig, ax = plt.subplots(figsize=size)
ax.axis('off')
mpl_table = ax.table(cellText=data.values,
bbox=bbox,
colLabels=data.columns,
cellLoc='center',
**kwargs)
mpl_table.auto_set_font_size(False)
mpl_table.set_fontsize(font_size)
for k, cell in six.iteritems(mpl_table._cells):
cell.set_edgecolor(edge_color)
if k[0] == 0 or k[1] < header_columns:
cell.set_text_props(weight='bold', color='w')
cell.set_facecolor(header_color)
else:
cell.set_facecolor(row_colors[k[0] % len(row_colors)])
cell.alignment = 'center'
fig.savefig('Location.png', dpi=100)
return ax
# In[138]:
if (len(analysis) > 0):
for ind, row in analysis.iterrows():
analysis.loc[ind, 'Nearest Location'] = get_display(
arabic_reshaper.reshape(analysis.loc[ind, 'Nearest Location']))
# In[139]:
if (len(analysis) > 0):
render_mpl_table(analysis, header_columns=0, col_width=4)
# # improvement
# In[153]:
# get yesterday improvement
today_al = float("{:.2f}".format(plot_df['Anxiety'].mean()))
improvement = -1
# In[165]:
try:
doc_ref = db.collection(u'Patient').document(userID)
doc = doc_ref.get().to_dict()
prev = float("{:.2f}".format(doc['anxiety_level']))
# calculate the improvement
improvement = float("{:.2f}".format(((prev - today_al) / 3) * 100))
except:
improvement = 404
# ## Generate doctor report pdf and store it in database
#
# In[143]:
pdf = canvas.Canvas('Doctor.pdf')
pdf.setTitle('Patient report')
pdf.drawImage("serene .png", 150, 730, width=300, height=130, mask='auto')
pdf.setFillColor(colors.HexColor('#e1eff7'))
pdf.roundRect(57, 400, 485, 200, 4, fill=1, stroke=0)
pdf.setFont("Helvetica-Bold", 20)
pdf.setFillColor(colors.HexColor('#23495f'))
pdf.drawString(100, 570, "Patient Information")
pdf.setFont("Helvetica-Bold", 15)
pdf.drawString(150, 540, "Name: ")
pdf.drawString(150, 520, "Age: ")
pdf.drawString(150, 500, "Employment Status: ")
pdf.drawString(150, 480, "Martial Status: ")
pdf.drawString(150, 460, "Monthly Income: ")
pdf.drawString(150, 440, "Chronic Diseases: ")
pdf.drawString(150, 420, "Cigarette Smoker: ")
pdf.drawString(150, 410, "Gender: ")
pdf.setFont("Helvetica", 15)
pdf.setFillColor(black)
pdf.drawString(210, 540, name)
pdf.drawString(210, 520, age)
pdf.drawString(310, 500, emp)
pdf.drawString(260, 480, mar)
pdf.drawString(290, 460, income)
pdf.drawString(290, 440, chronicD)
pdf.drawString(290, 420, smoke)
pdf.drawString(220, 410, gender)
pdf.setFillColor(colors.HexColor('#bfbfbf'))
pdf.roundRect(370, 560, 125, 30, 4, fill=1, stroke=0)
pdf.setFillColorRGB(1, 1, 1)
pdf.drawString(375, 570, "GAD-7 Score = ")
pdf.setFont("Helvetica-Bold", 15)
pdf.drawString(480, 570, gad)
pdf.setFillColor(colors.HexColor('#e1eff7'))
pdf.roundRect(57, 160, 485, 200, 4, fill=1, stroke=0)
pdf.setFont("Helvetica-Bold", 16)
pdf.setFillColor(colors.HexColor('#23495f'))
pdf.drawString(
115, 330, "Report Duration From: (" + dates[0] + " To: " +
dates[len(dates) - 1] + ")")
pdf.setFont("Helvetica-Bold", 14)
pdf.drawString(250, 300, "Improvements: ")
pdf.setFont("Helvetica-Bold", 20)
if (improvement == 404):
pdf.drawString(290, 260, "--")
else:
pdf.drawString(280, 260, str(improvement) + '%')
pdf.showPage()
pdf.drawImage("serene .png", 150, 730, width=300, height=130, mask='auto')
pdf.setFont("Helvetica-Bold", 20)
pdf.setFillColor(colors.HexColor('#808080'))
pdf.drawString(100, 650, "Anxiety Level")
pdf.drawImage("AL.png", 57, 400, width=485, height=200)
pdf.drawString(100, 330, "Heart Rate")
pdf.drawImage("hr.png", 57, 100, width=485, height=200)
pdf.showPage()
pdf.drawImage("serene .png", 150, 730, width=300, height=130, mask='auto')
pdf.setFont("Helvetica-Bold", 20)
pdf.setFillColor(colors.HexColor('#808080'))
pdf.drawString(100, 650, "Activity Rate")
pdf.drawImage("steps.png", 57, 400, width=485, height=200)
pdf.drawString(100, 350, "Sleep Analysis")
pdf.drawImage("sleep.png", 57, 100, width=485, height=200)
pdf.showPage()
pdf.drawImage("serene .png", 150, 730, width=300, height=130, mask='auto')
pdf.setFont("Helvetica-Bold", 20)
pdf.setFillColor(colors.HexColor('#808080'))
pdf.drawString(100, 650, "Locations With Highest Level of Anxiety")
if (len(analysis) > 0):
pdf.drawImage("Location.png", 30, 200, width=570, height=100)
else:
pdf.setFont("Helvetica", 15)
pdf.setFillColor(colors.HexColor('#23495f'))
t = pdf.beginText(130, 550)
text = [
name + " condition was stable through this period,",
"no locations with high anxiety level were detected."
]
for line in text:
t.textLine(line)
pdf.drawText(t)
if (len(notSyncedDates) != 0):
pdf.setFont("Helvetica", 12)
pdf.setFillColor(colors.HexColor('#d40027'))
pdf.drawString(
75, 100,
"Note: Below dates are missing, because they were not synced correctly:"
)
i = 70
for row in notSyncedDates.itertuples():
pdf.drawString(85, i, '- ' + row.date)
i = i - 20
pdf.save()
# In[144]:
# new method
doct = storage.child(userID +
"/DoctorReport/doctorReport").put('Doctor.pdf')
# In[145]:
linkDF = pd.DataFrame()
linkDF = linkDF.append(pd.DataFrame(doct, index=[0]), ignore_index=True)
# In[146]:
token1 = linkDF['downloadTokens'].values
token = token1[0]
link = storage.child(userID + "/DoctorReport/doctorReport").get_url(token)
# In[149]:
from datetime import datetime
# In[150]:
date = datetime.now()
# In[161]:
# store the data
random_id = random.randint(0, 1000)
ID = "Doctor" + userID + str(random_id)
doc_rec = db.collection(u'DoctorReports').document(str(ID))
doc_rec.set({
u'doctorId': doctorID,
u'emailsent': True,
u'patientId': userID,
u'reportTime': date,
u'reportUrl': link,
u'improvement': improvement
})
doc_rec = db.collection(u'Patient').document(userID)
doc_rec.update({u'anxiety_level': today_al})
# In[152]:
os.remove("hr.png")
os.remove("sleep.png")
os.remove("AL.png")
os.remove("steps.png")
os.remove("Doctor.pdf")
if (len(analysis) > 0):
os.remove("Location.png")
return {"Doctor": "Yaaay"}
from rest_framework.decorators import api_view
from rest_framework.response import Response
from rest_framework import status
import base64
from Crypto.PublicKey import RSA
from Cryptodome.Cipher import PKCS1_OAEP
from Cryptodome.Hash import SHA512
from firebase_admin import initialize_app, firestore, credentials
import os
# For this to work, make sure that environment variable GOOGLE_APPLICATION_CREDENTIALS is set properly.
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
CREDS_ADDRESS=BASE_DIR+'/views/creds.json'
cred=credentials.Certificate(CREDS_ADDRESS)
fb_app = initialize_app(credential=cred)
store = firestore.client(app=fb_app)
#-----------------
#Getdata function
#-----------------
db = firestore.client()
def getdata(phnumber, update_probability=False):
privatekey = db.collection(u'Profile').document(u'' + phnumber).get().to_dict()['PrivateKey']
rsakey = RSA.importKey(base64.b64decode(privatekey))
# rsakey = PKCS1_OAEP.new(rsakey, hashAlgo=SHA256, mgfunc=lambda x,y: pss.MGF1(x,y, SHA256))
rsakey = PKCS1_OAEP.new(rsakey, SHA512)
def decrypt_location(loc, rsakey):
# global rsakey
b64_decoded_message = base64.b64decode(loc)
decrypted = rsakey.decrypt(b64_decoded_message)
return decrypted
def searchTweets(query):
db = firestore.client()
maxCount = 100
max_id = -1
count = 0
obj = {
query: {
"regioes": {
"Norte": {
"tristeza": 0,
"alegria": 0,
"amor": 0,
"raiva": 0
},
"Nordeste": {
"tristeza": 0,
"alegria": 0,
"amor": 0,
"raiva": 0
},
"Centro-Oeste": {
"tristeza": 0,
"alegria": 0,
"amor": 0,
"raiva": 0
},
"Sul": {
"tristeza": 0,
"alegria": 0,
"amor": 0,
"raiva": 0
},
"Sudeste": {
"tristeza": 0,
"alegria": 0,
"amor": 0,
"raiva": 0
}
}
}
}
other_obj = {
"regioes": {
"Norte": {
"tristeza": 0,
"alegria": 0,
"amor": 0,
"raiva": 0,
"count": 0
},
"Nordeste": {
"tristeza": 0,
"alegria": 0,
"amor": 0,
"raiva": 0,
"count": 0
},
"Centro-Oeste": {
"tristeza": 0,
"alegria": 0,
"amor": 0,
"raiva": 0,
"count": 0
},
"Sul": {
"tristeza": 0,
"alegria": 0,
"amor": 0,
"raiva": 0,
"count": 0
},
"Sudeste": {
"tristeza": 0,
"alegria": 0,
"amor": 0,
"raiva": 0,
"count": 0
}
}
}
users_ref = db.collection(query)
docs = users_ref.stream()
jsonT = ""
for doc in docs:
jsonT = doc.to_dict()["porcentagem"]
if jsonT == "":
while count < maxCount:
if max_id <= 0:
searched_tweets = api.search(q=query + " -filter:retweets",
lang="pt-br",
tweet_mode='extended',
count=maxCount * 5)
else:
searched_tweets = api.search(q=query + " -filter:retweets",
lang="pt-br",
tweet_mode='extended',
count=maxCount * 5,
max_id=str(max_id - 1))
if not searched_tweets:
print("tem nada aq mona")
break
else:
for tweet in searched_tweets:
if (tweet.place is not None) and (count < maxCount):
text = json.dumps(
tweet._json['full_text'],
sort_keys=True,
indent=4,
ensure_ascii=False).encode('utf8').decode()
finalText = text.split(" ")
text = ""
for aux in finalText:
if not '@' in aux and not 'https://' in aux:
text += aux + " "
count += 1
text = Cucco.replace_emojis(text)
text = text.replace('"', '')
municipio = (json.dumps(
tweet._json['place']['full_name'],
sort_keys=True,
indent=4,
ensure_ascii=False).encode('utf8')
).decode().split(",")[0].replace('"', "")
try:
if municipio == 'Sao Paulo':
municipio = 'São Paulo'
regiao = regioes.getRegion(
ufbr.get_cidade(municipio).codigo)
em = classify(text)
other_obj["regioes"][regiao][em] += 1
other_obj["regioes"][regiao]["count"] += 1
pass
except Exception as identifier:
count -= 1
pass
max_id = searched_tweets[-1].id
arr_reg = ["Norte", "Nordeste", "Centro-Oeste", "Sul", "Sudeste"]
arr_emo = ["tristeza", "alegria", "amor", "raiva"]
for i in arr_reg:
for j in arr_emo:
total = other_obj["regioes"][i]["count"]
if total == 0:
obj[query]["regioes"][i][j] = 0
else:
obj[query]["regioes"][i][j] = round(
(other_obj["regioes"][i][j] / total) * 100, 2)
db.collection(query).add({
"tweets_classificados": json.dumps(other_obj),
"porcentagem": json.dumps(obj)
})
objs = [obj, other_obj]
return objs
else:
users_ref = db.collection(query)
docs = users_ref.stream()
jsonP = ""
for doc in docs:
jsonP = doc.to_dict()["porcentagem"]
jsonT = doc.to_dict()["tweets_classificados"]
arr = [json.loads(jsonP), json.loads(jsonT)]
return arr
def upload_data(data):
db = firestore.client()
db.collection("daily_data").document(str(datetime.date.today())).set(
format_data(data))
def __init__(self):
self.robot = rosebot.RoseBot()
cred = credentials.Certificate('serviceAccountKey.json')
firebase_admin.initialize_app(cred)
self.db = firestore.client()
self.addCommandListener()
def periodicDBInsert(key):
insert_SQL = '''INSERT INTO personEvent(fecha, tipo_marcado, id_sensor) VALUES(?, ?, ?)'''
db = sqlite3.connect(
'/home/pi/projects/personCounter/firebaseClient/local.db')
c = db.cursor()
global DB_INTERVAL
global FALLA
#///////////////////
global missed_events
try:
print("conectando a la DB...")
cred = credentials.Certificate(key)
firebase_admin.initialize_app(cred)
dbFs = firestore.client()
FAULT.off()
FALLA = False
except:
FAULT.on()
FALLA = True
return
# for sqlite
while True:
if eventQueue.empty() and not missed_events:
print("no hay eventos!")
else:
print("insertando eventos...")
# for event in events:
# pushToLocalDB(db, event)
# creando doc
events = []
if not eventQueue.empty():
print("eventos nuevos en cola: ", eventQueue.qsize())
events = queue_get_all(eventQueue)
eventQueue.task_done()
try:
print("eventos perdidos en cola: ", len(missed_events))
total_events = events + missed_events
print("accediendo a coleccion...")
doc_data = {
'marcados': total_events,
'id_evento': 1,
}
######
events_sqlite = []
for event in total_events:
events_sqlite.append(
(event['fecha'], event['tipo_marcado'],
event['id_sensor']))
c.executemany(insert_SQL, events_sqlite)
print('ingresando datos a db local...')
db.commit()
######
print('ingresando datos a db remota...')
doc_ref = dbFs.collection(u'marcados_eventos').document(
unicode(datetime.now()))
doc_ref.set(doc_data)
##################
events = []
missed_events = []
FAULT.off()
FALLA = False
print('actualizacion de db finalizada!')
except Exception:
print(Exception.message)
print('salvando datos...')
missed_events = events
FAULT.on()
FALLA = True
#c.executemany(insert_SQL, events2)
#db.commit()
#select_last_events(db)
events = []
time.sleep(DB_INTERVAL)
import os, firebase_admin
from abc import ABCMeta, abstractclassmethod
from firebase_admin import firestore, credentials
path = os.path.dirname(os.path.abspath(__file__)).replace(
'/features', '/utils')
db = None
try:
cred = credentials.Certificate(path + '/gerajobsfirebase.json')
app = firebase_admin.initialize_app(credential=cred)
db = firestore.client(app=app)
except Exception as e:
print(str(e))
class Collection:
@classmethod
def add(self, data):
pass
@classmethod
def where(self, *args, **kwargs):
return Where()
@classmethod
def get(self):
pass
@classmethod
def stream(self):
pass
class MyFirebase():
wak = 'AIzaSyBL6nY4funOgC_Yiw0no4zOdixr0kWAOlM'
db = firestore.client()
def sign_up(self, email, password):
#send email to firebase
#firebase will return localid(userid), authtoken(idtoken), refreshtoken
signup_url = "https://www.googleapis.com/identitytoolkit/v3/relyingparty/signupNewUser?key=" + self.wak
signup_payload = {
"email": email,
"password": password,
"returnSecureToken": True
}
sign_up_request = requests.post(signup_url, data=signup_payload)
print(sign_up_request.ok)
print(sign_up_request.content.decode())
sign_up_data = json.loads(sign_up_request.content.decode())
if sign_up_request.ok == True:
refresh_token = sign_up_data['refreshToken']
localId = sign_up_data['localId']
idToken = sign_up_data['idToken']
# Save refreshToken to a file
with open("refresh_token.txt", "w") as f:
f.write(refresh_token)
# save local id to a variable in main app class
App.get_running_app().local_id = localId
App.get_running_app().id_token = idToken
#create new key and add initial info:
initial_data = {'avatar': 'fridge.png'}
self.db.collection(localId).document(u'initial').set(initial_data)
#send back to login screen
App.get_running_app().root.current = 'login_screen'
if sign_up_request.ok == False:
error_data = json.loads(sign_up_request.content.decode())
error_message = error_data["error"]['message']
App.get_running_app().root.ids['sign_up_screen'].ids[
'invalid_sign_up'].text = error_message
pass
def sign_in(self, email, password):
"""Called if a user tried to sign up and their email already existed."""
signin_url = "https://www.googleapis.com/identitytoolkit/v3/relyingparty/verifyPassword?key=" + self.wak
signin_payload = {
"email": email,
"password": password,
"returnSecureToken": True
}
signin_request = requests.post(signin_url, data=signin_payload)
sign_up_data = json.loads(signin_request.content.decode())
app = App.get_running_app()
if signin_request.ok == True:
refresh_token = sign_up_data['refreshToken']
localId = sign_up_data['localId']
print(localId)
idToken = sign_up_data['idToken']
# Save localId to a variable in main app class
# Save idToken to a variable in main app class
app.local_id = localId
app.id_token = idToken
app.signed_in()
App.get_running_app().root.current = 'list_screen'
print('true!')
elif signin_request.ok == False:
error_data = json.loads(signin_request.content.decode())
error_message = error_data["error"]['message']
app.root.ids['login_screen'].ids[
'wrong_login'].text = error_message.replace("_", " ")
def get_database_data(self, loginId):
grocery_items = {}
item_number = 0
docs = self.db.collection(loginId).stream()
for doc in docs:
if doc.id != 'initial':
d = doc.to_dict()
temp = {item_number: d}
grocery_items.update(temp)
item_number += 1
return grocery_items
def firestore_init():
cred = credentials.Certificate(os.environ['FIREBASE_AUTH_KEY'])
firebase_admin.initialize_app(cred)
return firestore.client()
import google.cloud.exceptions
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
import json
from Sastrawi.Stemmer.StemmerFactory import StemmerFactory
from collections import Counter
akun = ['548904824', '255409050', '480224156', '63433517', '82552414', '61379637', '79994423', '47251716',
'260043508'] # ['@IndosatCare','@Telkomsel','@myXLCare','@triindonesia','@myXL','@IM3Ooredoo','@AXISgsm','@ask_AXIS','@simPATI']
kata_kunci = ['lambat', 'lelet', 'lola', 'lemot', 'koneksi', 'gsm', '3g', '4g', 'hsdpa', 'edge', 'jaring', 'ganggu']
cred = credentials.Certificate('kunci2.json')
firebase_admin.initialize_app(cred)
db = firestore.client()
tweet_ref = db.collection('Tweet')
kata_ref = db.collection("kata_kunci")
last_ref = db.collection("lasttweet")
factory = StemmerFactory()
stemmer = factory.create_stemmer()
def tweetstruct(user, text, t):
data = {
'username': user,
'text': text,
'time': t,
}
return data
def get_survey_firestore_client():
app = firebase_admin.get_app("surveys")
return firestore.client(app)