Merge pull request #196 from worstface/main

Hotfix for inkycal stocks module
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Ace 2021-07-11 12:58:34 +02:00 committed by GitHub
commit 0a3d5936c6
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3 changed files with 141 additions and 18 deletions

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@ -1,16 +1,23 @@
#!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
Stocks Module for Inky-Calendar Project
Stocks Module for Inkycal Project
Version 0.5: Added improved precision by using new priceHint parameter of yfinance
Version 0.4: Added charts
Version 0.3: Added support for web-UI of Inkycal 2.0.0
Version 0.2: Migration to Inkycal 2.0.0
Version 0.1: Migration to Inkycal 2.0.0b
by https://github.com/worstface
"""
import os
import logging
from inkycal.modules.template import inkycal_module
from inkycal.custom import *
from inkycal.custom import write, internet_available
from PIL import Image
try:
import yfinance as yf
@ -18,8 +25,14 @@ except ImportError:
print('yfinance is not installed! Please install with:')
print('pip3 install yfinance')
filename = os.path.basename(__file__).split('.py')[0]
logger = logging.getLogger(filename)
try:
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
except ImportError:
print('matplotlib is not installed! Please install with:')
print('pip3 install matplotlib')
logger = logging.getLogger(__name__)
class Stocks(inkycal_module):
@ -46,12 +59,12 @@ class Stocks(inkycal_module):
# If tickers is a string from web-ui, convert to a list, else use
# tickers as-is i.e. for tests
if config['tickers'] and isinstance(config['tickers'], str):
self.tickers = config['tickers'].split(',') #returns list
self.tickers = config['tickers'].replace(" ", "").split(',') #returns list
else:
self.tickers = config['tickers']
# give an OK message
print(f'{filename} loaded')
print(f'{__name__} loaded')
def generate_image(self):
"""Generate image for this module"""
@ -60,12 +73,22 @@ class Stocks(inkycal_module):
im_width = int(self.width - (2 * self.padding_left))
im_height = int(self.height - (2 * self.padding_top))
im_size = im_width, im_height
logger.info(f'Image size: {im_size}')
logger.info(f'image size: {im_width} x {im_height} px')
# Create an image for black pixels and one for coloured pixels (required)
im_black = Image.new('RGB', size = im_size, color = 'white')
im_colour = Image.new('RGB', size = im_size, color = 'white')
# Create tmp path
tmpPath = '/tmp/inkycal_stocks/'
try:
os.mkdir(tmpPath)
except OSError:
print (f"Creation of tmp directory {tmpPath} failed")
else:
print (f"Successfully created tmp directory {tmpPath} ")
# Check if internet is available
if internet_available() == True:
logger.info('Connection test passed')
@ -91,36 +114,136 @@ class Stocks(inkycal_module):
parsed_tickers = []
parsed_tickers_colour = []
chartSpace = Image.new('RGBA', (im_width, im_height), "white")
chartSpace_colour = Image.new('RGBA', (im_width, im_height), "white")
for ticker in self.tickers:
tickerCount = range(len(self.tickers))
for _ in tickerCount:
ticker = self.tickers[_]
logger.info(f'preparing data for {ticker}...')
yfTicker = yf.Ticker(ticker)
try:
stockInfo = yfTicker.info
except Exception as exceptionMessage:
logger.warning(f"Failed to get '{ticker}' ticker info: {exceptionMessage}")
try:
stockName = stockInfo['shortName']
except Exception:
stockName = ticker
logger.warning(f"Failed to get '{stockName}' ticker info! Using "
logger.warning(f"Failed to get '{stockName}' ticker name! Using "
"the ticker symbol as name instead.")
stockHistory = yfTicker.history("2d")
try:
stockCurrency = stockInfo['currency']
if stockCurrency == 'USD':
stockCurrency = '$'
elif stockCurrency == 'EUR':
stockCurrency = ''
except Exception:
stockCurrency = ''
logger.warning(f"Failed to get ticker currency!")
try:
precision = stockInfo['priceHint']
except Exception:
precision = 2
logger.warning(f"Failed to get '{stockName}' ticker price hint! Using "
"default precision of 2 instead.")
stockHistory = yfTicker.history("30d")
stockHistoryLen = len(stockHistory)
logger.info(f'fetched {stockHistoryLen} datapoints ...')
previousQuote = (stockHistory.tail(2)['Close'].iloc[0])
currentQuote = (stockHistory.tail(1)['Close'].iloc[0])
currentHigh = (stockHistory.tail(1)['High'].iloc[0])
currentLow = (stockHistory.tail(1)['Low'].iloc[0])
currentOpen = (stockHistory.tail(1)['Open'].iloc[0])
currentGain = currentQuote-previousQuote
currentGainPercentage = (1-currentQuote/previousQuote)*-100
firstQuote = stockHistory.tail(stockHistoryLen)['Close'].iloc[0]
logger.info(f'firstQuote {firstQuote} ...')
def floatStr(precision, number):
return "%0.*f" % (precision, number)
def percentageStr(number):
return '({:+.2f}%)'.format(number)
def gainStr(precision, number):
return "%+.*f" % (precision, number)
tickerLine = '{}: {:.2f} {:+.2f} ({:+.2f}%)'.format(
stockName, currentQuote, currentGain, currentGainPercentage)
stockNameLine = '{} ({})'.format(stockName, stockCurrency)
stockCurrentValueLine = '{} {} {}'.format(
floatStr(precision, currentQuote), gainStr(precision, currentGain), percentageStr(currentGainPercentage))
stockDayValueLine = '1d OHL: {}/{}/{}'.format(
floatStr(precision, currentOpen), floatStr(precision, currentHigh), floatStr(precision, currentLow))
maxQuote = max(stockHistory.High)
minQuote = min(stockHistory.Low)
logger.info(f'high {maxQuote} low {minQuote} ...')
stockMonthValueLine = '{}d OHL: {}/{}/{}'.format(
stockHistoryLen,floatStr(precision, firstQuote),floatStr(precision, maxQuote),floatStr(precision, minQuote))
logger.info(tickerLine)
parsed_tickers.append(tickerLine)
logger.info(stockNameLine)
logger.info(stockCurrentValueLine)
logger.info(stockDayValueLine)
logger.info(stockMonthValueLine)
parsed_tickers.append(stockNameLine)
parsed_tickers.append(stockCurrentValueLine)
parsed_tickers.append(stockDayValueLine)
parsed_tickers.append(stockMonthValueLine)
parsed_tickers_colour.append("")
if currentGain < 0:
parsed_tickers_colour.append(tickerLine)
parsed_tickers_colour.append(stockCurrentValueLine)
else:
parsed_tickers_colour.append("")
if currentOpen > currentQuote:
parsed_tickers_colour.append(stockDayValueLine)
else:
parsed_tickers_colour.append("")
if firstQuote > currentQuote:
parsed_tickers_colour.append(stockMonthValueLine)
else:
parsed_tickers_colour.append("")
if (_ < len(tickerCount)):
parsed_tickers.append("")
parsed_tickers_colour.append("")
logger.info(f'creating chart data...')
chartData = stockHistory.reset_index()
chartCloseData = chartData.loc[:,'Close']
chartTimeData = chartData.loc[:,'Date']
logger.info(f'creating chart plot...')
fig, ax = plt.subplots() # Create a figure containing a single axes.
ax.plot(chartTimeData, chartCloseData, linewidth=8) # Plot some data on the axes.
ax.set_xticklabels([])
ax.set_yticklabels([])
chartPath = tmpPath+ticker+'.png'
logger.info(f'saving chart image to {chartPath}...')
plt.savefig(chartPath)
logger.info(f'chartSpace is...{im_width} {im_height}')
logger.info(f'open chart ...{chartPath}')
chartImage = Image.open(chartPath)
chartImage.thumbnail((im_width/4,line_height*4), Image.BICUBIC)
chartPasteX = im_width-(chartImage.width)
chartPasteY = line_height*5*_
logger.info(f'pasting chart image with index {_} to...{chartPasteX} {chartPasteY}')
if firstQuote > currentQuote:
chartSpace_colour.paste(chartImage, (chartPasteX, chartPasteY))
else:
chartSpace.paste(chartImage, (chartPasteX, chartPasteY))
im_black.paste(chartSpace)
im_colour.paste(chartSpace_colour)
# Write/Draw something on the black image
for _ in range(len(parsed_tickers)):
@ -142,4 +265,4 @@ class Stocks(inkycal_module):
return im_black, im_colour
if __name__ == '__main__':
print(f'running {filename} in standalone/debug mode')
print('running module in standalone/debug mode')

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@ -8,4 +8,4 @@ arrow==0.17.0 # time operations
Flask==1.1.2 # webserver
Flask-WTF==0.14.3 # webforms
todoist-python==8.1.2 # todoist api
yfinance==0.1.55 # yahoo stocks
yfinance>=0.1.62 # yahoo stocks

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@ -23,7 +23,7 @@ __install_requires__ = ['pyowm==3.1.1', # weather
'Flask==1.1.2', # webserver
'Flask-WTF==0.14.3', # webforms
'todoist-python==8.1.2', # todoist api
'yfinance==0.1.55', # yahoo stocks
'yfinance>=0.1.62', # yahoo stocks
]
__classifiers__ = [