import csv

import matplotlib.pyplot as plt

from matplotlib.dates import DateFormatter, WeekdayLocator,\

DayLocator, MONDAY

from matplotlib.finance import quotes_historical_yahoo_ohlc, candlestick_ohlc

from yahoo_finance import Share

from datetime import datetime, timedelta

#------config start------------

inputFileName = 'ASXListedCompanies.csv'

testSize = 999999999

testYahooSize = 4

histDays = 28

#------config end--------------

asxStocks = []

stockStats = []

with open(inputFileName, newline='') as csvfile:

spamreader = csv.reader(csvfile, delimiter=',')

rowNum = 0

for row in spamreader:

if rowNum == 0:

print ("header row")

elif rowNum < testSize:

#print ("type(row)=", type(row))

#print ("row[1]=", row[1])

asxStocks.append(row[1])

#print(', '.join(row))

else:

break

rowNum += 1

print ("len(asxStocks)=", len(asxStocks))

now = datetime.now()

print ("now=", now)

endDate = now.strftime("%Y-%m-%d")

endDateTuple = (now.year, now.month, now.day)

nowMinus = now - timedelta(days=histDays)

startDate = (nowMinus).strftime("%Y-%m-%d")

startDateTuple = (nowMinus.year, nowMinus.month, nowMinus.day)

print ("startDateTuple=", startDateTuple, " endDateTuple=", endDateTuple)

print ("startDate formatted = ", startDate, "type(startDate)=", type(startDate))

print ("endDate formatted = ", endDate, "type(endDate)=", type(endDate))

for i in range(testYahooSize):

stockCode = asxStocks[i]+".AX"

print ("stockCode=", stockCode)

yahoo = Share(stockCode)

print ("yahoo.get_open()=", yahoo.get_open())

print ("yahoo.get_price()=", yahoo.get_price())

print ("yahoo.get_price()=", yahoo.get_trade_datetime())

history = yahoo.get_historical(startDate, endDate)#date format req'd different to quotes_historical_yahoo_ohlc

print ("len(history)=", len(history))

if len(history)>0:

low = []

high = []

volume = []

for i in range(len(history)):

print ("history[",i,"]=", history[i], "Low=", history[i]['Low'], " type(Low)=", type(history[i]['Low']))

temp = float(history[i]['Low'])

low.append(temp)

temp = float(history[i]['High'])

high.append(temp)

temp = int(history[i]['Volume'])

volume.append(temp)

print ("low=", low)

print ("high=", high)

print ("volume=", volume)

minLow = min(low)

maxHigh = max(high)

percentChange = (maxHigh-minLow)*100/minLow #int((maxHigh-minLow)*100/minLow)/100

print ("opened 7 days ago, ", history[0]['Open'])

print ("over last", str(histDays), "days, min=", str(minLow), " max=", str(maxHigh), " stock ", stockCode," has changed by ", str(int(percentChange*100)/100), "%")

stockDict = {"stockCode":stockCode, "opened":history[0]['Open'], "minLow":minLow, "maxHigh":maxHigh ,"percentChange":percentChange, "endDate": endDate}

stockStats.append(stockDict)

print ("len(stockStats)=", len(stockStats))

maxPercentChangeUp = 0

maxPercentChangeUpPos = 0

maxPercentChangeDown = 0

maxPercentChangeDownPos = 0

for i in range(len(stockStats)):

if stockStats[i]['percentChange']>maxPercentChangeUp:

maxPercentChangeUp = stockStats[i]['percentChange']

maxPercentChangeUpPos = i

if stockStats[i]['percentChange']<maxPercentChangeDown:

maxPercentChangeDown = stockStats[i]['percentChange']

maxPercentChangeDownPos = i

print ("max positive stock change @ i=", maxPercentChangeUpPos, "dict = ", stockStats[maxPercentChangeUpPos])

print ("max negative stock change @ i=", maxPercentChangeDownPos, "dict = ", stockStats[maxPercentChangeDownPos])

def plotStockHist(stockCode, startDate, endDate):

print("no history found, no chart plotted.")

print ("stockStats[maxPercentChangeUpPos]['stockCode']=", stockStats[maxPercentChangeUpPos]['stockCode']

, "startDate=", startDate, "endDate=", endDate)

print (type(stockStats[maxPercentChangeUpPos]['stockCode']), type(startDate) , type(endDate))

plotStockHist(stockStats[maxPercentChangeUpPos]['stockCode'], startDateTuple, endDateTuple)

#-------------

#-------------

import sys

import tweepy

import time

from random import randint

from keys_peterjamessmit6 import keys #keep keys in separate file, keys.py

CONSUMER_KEY = keys['consumer_key']

CONSUMER_SECRET = keys['consumer_secret']

ACCESS_TOKEN = keys['access_token']

ACCESS_TOKEN_SECRET = keys['access_token_secret']

# config section START - do NOT edit.

myScreenName = "peterjamessmit6" #'InspiredGuruAu'

maxTweetCharLength = 140

#minsleepTime & maxsleepTime in seconds.

#minSleepTime = 1 #reccomend min sleep time 300 seconds (5 minutes),

# 3600 seconds (30 minutes is more practical. Nobody likes a spammer

#maxSleepTime = 2 #maxSleepTime can be as large as you want.

# config section END

try:

auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)

auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)

api = tweepy.API(auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True, compression=True)

print ("marker2")

usersInfo = api.get_user(myScreenName)

print ("usersInfo=", usersInfo)

print ("type(usersInfo)=", type(usersInfo))

print ("usersInfo.id=", usersInfo.id)

print ("usersInfo.name=", usersInfo.name)

print ("usersInfo.screen_name=", usersInfo.screen_name)

print ("usersInfo.created_at=", usersInfo.created_at)

print ("usersInfo.description=", usersInfo.description)

print ("usersInfo.followers_count=", usersInfo.followers_count)

print ("usersInfo._json=", usersInfo._json)

#http://docs.tweepy.org/en/v3.5.0/api.html#API.update_with_media

api.update_with_media(filename="candleStickChart.png", status="What do you make of this stock? #asx")

except tweepy.TweepError:

print ("tweepy.TweepError=", tweepy.TweepError)

except Exception as e:

print ("general exception ", e)