def __init__(self):
self.flag = 0
self.dbm = datamodel.DataModel()
self.config = configparser.ConfigParser()
self.config.read('settings.config')
if not self.config.sections():
self.config.read_dict({
'Serialization': {
'serializer': 'pickle'
},
'DataFiles': {
'pickle': 'data.pickle',
'yaml': 'data.yaml',
'json': 'data.json'
}
})
serializer = self.config['Serialization']['serializer']
self.file_path = self.config['DataFiles'][serializer]
if serializer == 'json':
self.serializer = datamodel.Serializer.json
elif serializer == 'yaml':
self.serializer = datamodel.Serializer.yaml
else:
self.serializer = datamodel.Serializer.pickle
self.dbm.load(self.file_path, self.serializer)
self.default_cols = ['імʼя', 'номер', 'місто', 'email']
def setUp(self):
self.dbm = datamodel.DataModel()
self.dbm.records = {
'1111': {
'імʼя': 'test_name1',
'місто': 'test_city1',
'email': 'test_email1'
}
}
from flask import Flask, jsonify, send_file, request
from flask_cors import CORS
# Graphics
import seaborn as sns
sns.set_style('darkgrid')
from matplotlib.backends.backend_agg import FigureCanvasAgg
from matplotlib.figure import Figure
# Data model
import datamodel
data = datamodel.DataModel()
# Setting api
app = Flask(__name__)
CORS(app)
@app.route('/', methods=['GET'])
def index():
return jsonify({
'message': 'COVID19 Cuba Data API',
})
@app.route('/summary', methods=['GET'])
def resume():
datamodel.updater(data) # Call to update
def create(self,name):
self.dm = datamodel.DataModel(name,1)
self.dm.add_element("root")
import matplotlib.pyplot as plt
import ledmodel
import arduinointerface
import datamodel
import time
import os
log_dir = "lifetimelogging"
log_prefix = "logLED"
numLED = 8
LEDs = []
logger = arduinointerface.ArduinoInterface("/dev/ttyACM0", numLED)
tempmodel = datamodel.DataModel(log_dir + "/temp_log.csv")
ledcontrolmodel = datamodel.DataModel(log_dir + "/led_control_log.csv")
voltagemodel = datamodel.DataModel(log_dir + "/voltage_log.csv")
for i in range(numLED):
LEDs.append(
ledmodel.LEDModel(log_dir + "/" + log_prefix + str(i) + ".csv", i))
num_samples = 0
while True:
num_samples += 1
logger_data = logger.update()
if logger_data != 0: