def index():
ds = DataSource('hayesrichn', 'orange227blue')
today = ds.dateTimeToStr(datetime.datetime.today().date())
today = ds.strToInt(today)
# If the tables were constantly updated from yahooFiance. Because our tables are
# not constantly updated. We will have place holder to have the most recent price
today = 20191008
returndata = ds.performDataQuery(['spy', 'btc', 'gld', 'irx'],
'adjcloseprice', today - 1, today)
returndata = ds.formatData(returndata)
listOfreturnHTML = makePriceChangeBetweenTwoDaysHTML(returndata)
return render_template('index.html', listOfreturnHTML=listOfreturnHTML)
def result():
if request.method == 'POST':
ds = DataSource('hayesrichn', 'orange227blue')
date1 = ds.strToInt(request.form.get('date1'))
date2 = ds.strToInt(request.form.get('date2'))
datatype = request.form.get('datatype')
dataset1 = request.form.get('dataset1')
dataset2 = request.form.get('dataset2')
returndata = ds.performDataQuery([dataset1, dataset2], datatype, date1,
date2)
returnhtml = "<h2>DATA</h2>"
returndata = ds.formatData(returndata)
if returndata == []:
returnhtml = "<h2>Query Failed</h2>"
returnhtml = flask.Markup(returnhtml)
dataset1ValueList = []
dataset2ValueList = []
datesValueList = []
for tupleIndex in range(len(returndata)):
if returndata[tupleIndex][1] != "No Data" and returndata[
tupleIndex][2] != "No Data":
dataset1ValueList.append(returndata[tupleIndex][1])
dataset2ValueList.append(returndata[tupleIndex][2])
datesValueList.append(returndata[tupleIndex][0])
plt.figure()
fig, ax1 = plt.subplots()
color = 'tab:red'
ax1.set_xlabel('Dates')
ax1.set_ylabel(str(dataset1) + " " + str(datatype), color=color)
ax1.scatter(datesValueList, dataset1ValueList, color=color)
ax1.tick_params(axis='y', labelcolor=color)
ax2 = ax1.twinx(
) # instantiate a second axes that shares the same x-axis
color = 'tab:blue'
ax2.set_ylabel(str(dataset2) + " " + str(datatype),
color=color) # we already handled the x-label with ax1
ax2.scatter(datesValueList, dataset2ValueList, color=color)
ax2.tick_params(axis='y', labelcolor=color)
xticks = ax1.get_xticks()
plt.xticks([xticks[0], xticks[-1]], visible=True, rotation="vertical")
fig.tight_layout()
image = BytesIO()
plt.savefig(image, format='png')
image.seek(0)
return render_template('results.html',
returnhtml=returnhtml,
returndata=reversed(returndata),
dataset1=dataset1,
dataset2=dataset2,
datatype=datatype,
image=base64.b64encode(
image.read()).decode('utf8'))
else:
returnhtml = "<h2>Query Failed</h2>"
returnhtml = flask.Markup(returnhtml)
return render_template('results.html', returnhtml=returnhtml)
