def _generate_graph(date_strings):
chart = QuickChart()
chart.width = 800
chart.height = 400
chart.config = {
"data": {
"labels": date_strings
},
"options": {
"scales": {
"yAxes": [{
"ticks": {
"beginAtZero": True,
"suggestedMax": 1
}
}]
},
"legend": {
"position": "bottom"
},
"title": {
"display": True,
"fontSize": 22
}
}
}
return chart
def generate_chart_one_data_set(dates, data_set):
url = None
LOGGER = logging.getLogger()
LOGGER.setLevel(logging.INFO)
try:
qc = QuickChart()
qc.width = 500
qc.height = 300
qc.device_pixel_ratio = 2.0
qc.config = {
"type": "line",
"data": {
"labels": dates,
"datasets": [{
"label": "Daily Deaths",
"data": data_set
}]
},
"pointRadius": "0",
"fill": "False"
}
url = qc.get_short_url()
except Exception as ex:
LOGGER.INFO(ex)
finally:
return url
def test_no_chart(self):
qc = QuickChart()
qc.width = 600
qc.height = 300
qc.device_pixel_ratio = 2.0
self.assertRaises(RuntimeError, qc.get_url)
def get_chart(self, high, low):
qc = QuickChart()
qc.width = 500
qc.height = 300
qc.device_pixel_ratio = 2.0
qc.config = {
"type": 'bar',
"data": {
"labels":
['movies get a low score', 'movies get a high score'],
"datasets": [{
"label": "movies have the feature mentioned above",
"data": [low, high, 100]
}]
},
"options": {
"plugins": {
"datalabels": {
"display": True,
"backgroundColor": '#ccc',
"borderRadius": 3,
"font": {
"size": 18,
}
},
}
}
}
return qc.get_url()
def create_chart(width, height, type, data):
chart = QuickChart()
chart.width = width
chart.height = height
chart.device_pixel_ration = 2.0
chart.config = data
return chart.get_url()
def test_get_bytes(self):
qc = QuickChart()
qc.width = 600
qc.height = 300
qc.config = {
"type": "bar",
"data": {
"labels": ["Hello world", "Test"],
"datasets": [{
"label": "Foo",
"data": [1, 2]
}]
}
}
self.assertTrue(len(qc.get_bytes()) > 8000)
def covid_info():
"""Get Covid-19 informations about a country."""
# User reached route via POST (as by submitting a form via POST)
if request.method == "POST":
# Call the function lookup to get the newest data about the Covid-19 from the API
covid_info = lookup(request.form.get("country"))
# If invalid input
if covid_info == None:
flash("Invalid country. Try again.")
return redirect("/information")
# Create a Bar Chart with the information returned from the API
qc = QuickChart()
qc.width = 500
qc.height = 300
qc.device_pixel_ratio = 2.0
qc.config = {
"type": "bar",
"data": {
"labels": covid_info["date"][22::2],
"datasets": [
{"label": "Infected Persons", "data": covid_info["active"][22::2]},
{"label": "Total Deaths", "data": covid_info["deaths"][22::2]},
],
},
}
image_url = qc.get_url()
# return information
return render_template(
"information_result.html",
country=covid_info["country"],
active_cases=covid_info["active"][-1],
total_deaths=covid_info["deaths"][-1],
new_deaths=covid_info["new_deaths"],
total_recovered=covid_info["recovered"][-1],
date=covid_info["date"][-1],
image_url=image_url,
)
# Request method = GET
else:
return render_template("information.html")
def sparkline(data):
# generate image for badge
qc = QuickChart()
qc.width = 75
qc.height = 25
#qc.device_pixel_ratio = 2.0
qc.config = {"type": "sparkline", "data": {"datasets": [{"data": data}]}}
url = qc.get_short_url()
badge = requests.get(url).content
# serve image with suitable cache control headers
res = make_response(badge)
res.headers.set('Content-Type', 'image/png')
res.headers.set('Cache-Control',
'no-cache, no-store, must-revalidate, max-age=0')
res.headers.set('Pragma', 'no-cache')
res.headers.set('Expires', '0')
return res
def test_simple(self):
qc = QuickChart()
qc.width = 600
qc.height = 300
qc.device_pixel_ratio = 2.0
qc.config = {
"type": "bar",
"data": {
"labels": ["Hello world", "Test"],
"datasets": [{
"label": "Foo",
"data": [1, 2]
}]
}
}
url = qc.get_url()
self.assertIn('w=600', url)
self.assertIn('h=300', url)
self.assertIn('devicePixelRatio=2', url)
self.assertIn('Hello+world', url)
async def graph(ctx):
qc = QuickChart()
qc.width = 600
qc.height = 300
qc.device_pixel_ratio = 2.0
qc.config = {
"type": "bar",
"data": {
"labels": ["Hello world", "Test"],
"datasets": [{
"label": "Foo",
"data": [1, 2]
}]
}
}
with Image.open(BytesIO(qc.get_bytes())) as chat_sample:
output_buffer = BytesIO(
) # By using BytesIO we don't have to save the file in our system.
chat_sample.save(output_buffer, "png")
output_buffer.seek(0)
await ctx.send(file=discord.File(fp=output_buffer,
filename="chat_sample.png")
) # Change the file name accordingly.
def get_chart(results):
from quickchart import QuickChart
qc = QuickChart()
qc.width = 900
qc.height = 500
qc.device_pixel_ratio = 2.0
qc.config = {
"type": "line",
"data": {
"labels": list(range(len(results))),
"datasets": [
{
"label": "ms",
"backgroundColor": "rgb(255, 99, 132)",
"borderColor": "rgb(255, 99, 132)",
"data": results,
"fill": False,
},
],
},
}
return qc.get_url()
from quickchart import QuickChart
qc = QuickChart()
qc.width = 600
qc.height = 300
qc.device_pixel_ratio = 2.0
qc.config = {
"type": "bar",
"data": {
"labels": ["Hello world", "Test"],
"datasets": [{
"label": "Foo",
"data": [1, 2]
}]
}
}
print(qc.get_url())
# https://quickchart.io/chart?c=%7B%22type%22%3A+%22bar%22%2C+%22data%22%3A+%7B%22labels%22%3A+%5B%22Hello+world%22%2C+%22Test%22%5D%2C+%22datasets%22%3A+%5B%7B%22label%22%3A+%22Foo%22%2C+%22data%22%3A+%5B1%2C+2%5D%7D%5D%7D%7D&w=600&h=300&bkg=%23ffffff&devicePixelRatio=2.0&f=png
def get_chart(symbol, duration):
"""Fetches Finnhub candle data and creates a chart using QuickChart.io API"""
start = math.trunc(time.time())
stop = 0.0
resoultion = ''
res_long = ''
step = 60
if duration.lower().strip(
) == 'd': # sets some variables to be used later based on chart duration
stop = math.trunc(time.time() - (86400 * 1))
resolution = '1'
res_long = 'Day'
step = 60 * 1
elif duration.lower().strip() == 'w':
stop = math.trunc(time.time() - (86400 * 7))
resolution = '5'
res_long = 'Week'
step = 60 * 5
elif duration.lower().strip() == 'm':
stop = math.trunc(time.time() - (86400 * 30))
resolution = '30'
res_long = 'Month'
step = 60 * 30
elif duration.lower().strip() == 'y':
stop = math.trunc(time.time() - (86400 * 365))
resolution = 'D'
res_long = 'Year'
step = 60 * 1440
else:
return 'invalid_duration'
r = requests.get(
f'https://finnhub.io/api/v1/stock/candle?symbol={symbol.upper()}&resolution={resolution}&from={stop-86400}&to={start-86400}&token={API_KEY}'
)
json = r.json()
# print(json) FIX THIS
# print(datetime.datetime.today().weekday())
#Test this over a weekend
if json == {'s': 'no_data'} or json['s'] == 'no_data':
if datetime.datetime.today().weekday() >= 5:
return 'invalid_weekend'
else:
return 'invalid_symbol'
r2 = requests.get(
f'https://finnhub.io/api/v1/stock/profile2?symbol={symbol.upper()}&token={API_KEY}'
) # Gets company name. Makes two API calls, could be removed if needed
json2 = r2.json()
name = json2['name']
data = json['c'] # stock price (close) data
lables = [
time.strftime('%b %d %H:%M',
datetime.fromtimestamp(i).timetuple()) for i in json['t']
] # lables for x axis
qc = QuickChart()
qc.width = 700
qc.height = 500
qc.device_pixel_ratio = 1.0
qc.background_color = '#ffffff'
qc.config = { # configuration data for chart formatting. See https://www.chartjs.org/.
"type": "line",
"data": {
"labels":
lables,
"datasets": [{
"data": data,
"fill": "false",
"spanGaps": True,
"pointRadius": 0,
"showLine": True,
"borderWidth": 2.5,
"borderColor": "#000000"
}]
},
"options": {
"title": {
"display": True,
"text": f"{symbol.upper()} ({name}) {res_long} Price Chart",
"fontSize": 18,
"fontFamily": "Helvetica",
"fontColor": "#000000"
},
"legend": {
"display": False,
},
"scales": {
"xAxes": [{
"scaleLabel": {
"display": True,
"labelString": "Date"
},
}],
"yAxes": [{
"scaleLabel": {
"display": True,
"labelString": "US Dollars"
},
"ticks": {
"suggestedMin": .95 * min(data),
"suggestedMax": 1.05 * max(data)
},
}]
}
}
}
return qc.get_short_url()
async def bitcoin(self, ctx, mode=None, amount=None):
if stocks_up:
await open_account(ctx.author)
user = ctx.author
users = await get_bank_data()
bal = await update_bank(ctx.author)
if mode == None:
await ctx.send(
f'{ctx.author.mention}: You must specify if you want to view or sell'
)
elif mode == 'view':
if amount == None:
amount = '14'
amount = int(amount)
if amount < 0:
await ctx.send(
f'{ctx.author.mention}: Only positive numbers allowed')
elif amount > 100:
await ctx.send(
f'{ctx.author.mention}: You cannot go past 100 days')
else:
btc_prices = []
label_count = []
for i in range(amount, 0, -1):
label_count.append(str(btc.index.date[i]))
btc_prices.append(btc['1a. open (CAD)'][i])
qc = QuickChart()
qc.width = 500
qc.height = 300
qc.background_color = 'white'
qc.device_pixel_ratio = 2.0
qc.config = {
"type": "line",
"data": {
"labels":
label_count,
"datasets": [{
"label": "BTC",
"data": btc_prices,
"fill": False,
"borderColor": 'orange'
}]
}
}
bitcoin_chart = qc.get_short_url()
em = discord.Embed(title=f"Price of Bitcoin",
color=discord.Color.orange())
em.set_image(url=bitcoin_chart)
em.add_field(name='BTC',
value=f'Prices for the last {amount} days',
inline=False)
em.add_field(name='Current Price',
value='```%sMM```' % bitcoin_price,
inline=False)
await ctx.send(embed=em)
elif mode == 'sell':
await open_account(ctx.author)
if amount == None:
await ctx.send(
f"{ctx.author.mention}: Please enter the amount")
return
bal = await update_bank(ctx.author)
if amount == 'all':
amount = bal[6]
amount = float(amount)
earnings = int(amount * bitcoin_price)
if amount > bal[6]:
await ctx.send(
f"{ctx.author.mention}: You don't have that much bitcoin"
)
return
if amount < 0:
await ctx.send(
f"{ctx.author.mention}: You must enter a positive number"
)
return
await ctx.send(
f"{ctx.author.mention}: You sold {amount} bitcoin and earned {earnings}MM"
)
await update_bank(ctx.author, -1 * amount, 'bitcoin')
await update_bank(ctx.author, earnings, 'bank')
else:
await ctx.send(
f'{ctx.author.mention}: That option doesn\'t exist')
else:
await ctx.send(
'Stock API is down for now. Reload in a minute and try again.')