def Weightplot(self):
# Retrieves all the history and packages into an array.
weighthist = self.read_weight()
weight = []
weight_date = []
lastreading = ''
for element in weighthist:
# dateobj = datetime.datetime.fromisoformat(element['timestamp'])
dateobj = datefromisotz(element['timestamp'])
date_repr = dateobj.strftime("%a, %b %d '%y")
# Only print one value per day to avoid artifacts in plotting.
# if (lastreading != date_repr):
weight_date.append(dateobj)
weight.append(element['weight'])
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.plot(weight_date, weight, color="blue")
ax.set_ylabel('kg', size=13)
fig.autofmt_xdate()
fig.suptitle("Weight (kg)", size=20)
holder = io.BytesIO()
fig.savefig(holder, format="svg")
image = "data:image/svg+xml;base64," + \
base64.b64encode(holder.getvalue()).decode()
holder.close()
return (image)
def Osatplot(self):
# Retrieves all the history and packages into an array.
osathist = self.read_osat()
osat = []
osat_date = []
lastreading = ''
for element in osathist:
dateobj = datefromisotz(element['timestamp'])
date_repr = dateobj.strftime("%a, %b %d '%y")
osat_date.append(dateobj)
osat.append(element['osat'])
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.plot(osat_date, osat, color="red")
ax.set_ylabel('%', size=13)
fig.autofmt_xdate()
fig.suptitle("Osat (%)", size=20)
holder = io.BytesIO()
fig.savefig(holder, format="svg")
image = "data:image/svg+xml;base64," + \
base64.b64encode(holder.getvalue()).decode()
holder.close()
return (image)
def Glucoseplot(self):
# Retrieves all the history and packages into an array.
glucosehist = self.read_glucose()
glucose = []
glucose_date = []
lastreading = ''
for element in glucosehist:
dateobj = datefromisotz(element['timestamp'])
date_repr = dateobj.strftime("%a, %b %d '%y")
# Only print one value per day to avoid artifacts in plotting.
# if (lastreading != date_repr):
glucose_date.append(dateobj)
glucose.append(element['glucose'])
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.plot(glucose_date, glucose, color="red")
ax.set_ylabel('mg/dl', size=13)
fig.autofmt_xdate()
fig.suptitle("Glucose level (mg/dl)", size=20)
holder = io.BytesIO()
fig.savefig(holder, format="svg")
image = "data:image/svg+xml;base64," + \
base64.b64encode(holder.getvalue()).decode()
holder.close()
return image
def HRplot(self):
# Retrieves all the history and packages into an array.
hrhist = self.read_hr()
hr = []
hr_date = []
lastreading = ''
for element in hrhist:
dateobj = datefromisotz(element['timestamp'])
date_repr = dateobj.strftime("%a, %b %d '%y")
# Only print one value per day to avoid artifacts in plotting.
if (lastreading != date_repr):
hr_date.append(dateobj)
hr.append(element['heart_rate'])
lastreading = date_repr
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.plot(hr_date, hr, color="orange")
ax.set_ylabel('Frequency', size=13)
fig.autofmt_xdate()
fig.suptitle("Heart Rate (bpm)", size=20)
holder = io.BytesIO()
fig.savefig(holder, format="svg")
image = "data:image/svg+xml;base64," + \
base64.b64encode(holder.getvalue()).decode()
holder.close()
return image
def getGlucose(self):
# Extracts the latest readings from Glucose
glucosehist = self.read_glucose()
glucoseobj = ['', '']
if (glucosehist): # Enter this block if there is a history
glucose = glucosehist[-1] # Get the latest (newest) record
dateobj = datefromisotz(glucose['timestamp'])
date_repr = dateobj.strftime("%a, %b %d '%y - %H:%M")
glucoseobj = [str(date_repr), str(glucose['glucose'])]
return glucoseobj
def getOsat(self):
# Extracts the latest readings from Osat
osathist = self.read_osat()
osatobj = ['', '']
if (osathist):
osat = osathist[-1] # Get the latest (newest) record
# dateobj = datetime.datetime.fromisoformat(osat['timestamp'])
dateobj = datefromisotz(osat['timestamp'])
date_repr = dateobj.strftime("%a, %b %d '%y - %H:%M")
osatobj = [str(date_repr), str(osat['osat'])]
return osatobj
def getWeight(self):
# Extracts the latest readings from Weight
weighthist = self.read_weight()
weightobj = ['', '']
if (weighthist):
weight = weighthist[-1] # Get the latest (newest) record
# dateobj = datetime.datetime.fromisoformat(weight['timestamp'])
dateobj = datefromisotz(weight['timestamp'])
date_repr = dateobj.strftime("%a, %b %d '%y - %H:%M")
weightobj = [str(date_repr), str(weight['weight'])]
return weightobj
def getBP(self):
# Extracts the latest readings from BP
bphist = self.read_bp()
hrhist = self.read_hr()
bpobj = ['', '', '', ''] # Init to empty string to avoid undefined val
if bphist and hrhist:
bp = bphist[-1] # Get the latest (newest) record
hr = hrhist[-1]
# dateobj = datetime.datetime.fromisoformat(bp['timestamp'])
dateobj = datefromisotz(bp['timestamp'])
date_repr = dateobj.strftime("%a, %b %d '%y - %H:%M")
bpobj = [
str(date_repr),
str(bp['systolic']),
str(bp['diastolic']),
str(hr['heart_rate'])
]
return bpobj
def BPplot(self):
# Retrieves all the history and packages into an array.
bphist = self.read_bp()
bpsys = []
bpdia = []
bp_date = []
lastreading = ''
for element in bphist:
dateobj = datefromisotz(element['timestamp'])
date_repr = dateobj.strftime("%a, %b %d '%y")
# Only print one value per day to avoid artifacts in plotting.
if (lastreading != date_repr):
bp_date.append(dateobj)
bpsys.append(element['systolic'])
bpdia.append(element['diastolic'])
lastreading = date_repr
fig, axs = plt.subplots(2)
# Plot both systolic and diastolic history
axs[0].plot(bp_date, bpsys)
axs[1].plot(bp_date, bpdia, color='teal')
axs[0].set_ylabel('Systolic', size=13)
axs[1].set_ylabel('Diastolic', size=13)
fig.autofmt_xdate()
fig.suptitle("Blood Pressure (mm Hg)", size=20)
holder = io.BytesIO()
fig.savefig(holder, format="svg")
image = "data:image/svg+xml;base64," + \
base64.b64encode(holder.getvalue()).decode()
holder.close()
return image