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Simple-Stock-Bot/functions.py

170 lines
5.4 KiB
Python

import json
import re
import time
import urllib.request
from datetime import datetime
import cred
def getTickers(text: str):
"""
Takes a blob of text and returns any stock tickers found.
"""
TICKER_REGEX = "[$]([a-zA-Z]{1,4})"
return list(set(re.findall(TICKER_REGEX, text)))
def tickerDataReply(tickers: list):
"""
Takes a list of tickers and returns a list of strings with information about the ticker.
"""
tickerReplies = {}
for ticker in tickers:
IEXURL = (
f"https://cloud.iexapis.com/stable/stock/{ticker}/quote?token={cred.secret}"
)
with urllib.request.urlopen(IEXURL) as url:
IEXData = json.loads(url.read().decode())
reply = f"The current stock price of {IEXData['companyName']} is $**{IEXData['latestPrice']}**"
# Determine wording of change text
change = round(IEXData["changePercent"] * 100, 2)
if change > 0:
reply += f", the stock is currently **up {change}%**"
elif change < 0:
reply += f", the stock is currently **down {change}%**"
else:
reply += ", the stock hasn't shown any movement today."
tickerReplies[ticker] = reply
return tickerReplies
def tickerNews(tickers: list):
"""
Takes a list of ticker and returns a dictionary of dictionarys
with a list of tuples under news that contains (title, url)
example:
input list: ["aapl"]
returns:
{
"AAPL": {
"name": "Apple Inc.",
"price": 200.72,
"change": -0.01074,
"news": [
(
"April Dividend Income Report - Beating Records, Holding Steady",
"https://api.iextrading.com/1.0/stock/aapl/article/8556681822768653",
),
(
"Is Vanguard's VIG Better Than Its WisdomTree Counterpart?",
"https://api.iextrading.com/1.0/stock/aapl/article/7238581261167527",
),
],
}
}
"""
data = tickerData(tickers)
for ticker in tickers:
ticker = ticker.upper()
IEXNews = f"https://api.iextrading.com/1.0/stock/{ticker}/news/last/5"
with urllib.request.urlopen(IEXNews) as url:
newsData = json.loads(url.read().decode())
data[ticker]["news"] = []
for index, story in enumerate(newsData):
tup = (newsData[index]["headline"], newsData[index]["url"])
data[ticker]["news"].append(tup)
return data
def tickerNewsReply(ticker: dict):
"""
Takes a dictionary, likely produced from tickerNews(), and returns a markdown string with news information on the ticker.
example:
{
"name": "Apple Inc.",
"price": 200.72,
"change": -0.01074,
"news": [
(
"April Dividend Income Report - Beating Records, Holding Steady",
"https://api.iextrading.com/1.0/stock/aapl/article/8556681822768653",
),
(
"Is Vanguard's VIG Better Than Its WisdomTree Counterpart?",
"https://api.iextrading.com/1.0/stock/aapl/article/7238581261167527",
),
],
}
returns:
The current stock price of Apple Inc. is $**200.72**, the stock is currently **down -1.07%**
[April Dividend Income Report - Beating Records, Holding Steady](https://api.iextrading.com/1.0/stock/aapl/article/8556681822768653)
[Is Vanguard's VIG Better Than Its WisdomTree Counterpart?](https://api.iextrading.com/1.0/stock/aapl/article/7238581261167527)
"""
reply = tickerDataReply(ticker)
if len(ticker["news"]) == 0:
return reply + f"\n\tNo News was found for {ticker['name']}"
for title, url in ticker["news"]:
reply = reply + f"\n\t[{title}]({url})"
return reply
# Below Functions are incomplete
def tickerInfo(ticker):
infoURL = f"https://api.iextrading.com/1.0/stock/{ticker}/stats"
with urllib.request.urlopen(infoURL) as url:
data = json.loads(url.read().decode())
info = {}
info["companyName"] = data["companyName"]
info["marketCap"] = data["marketcap"]
info["yearHigh"] = data["week52high"]
info["yearLow"] = data["week52low"]
info["divRate"] = data["dividendRate"]
info["divYield"] = data["dividendYield"]
info["divDate"] = data["exDividendDate"]
return info
def tickerDividend(ticker):
data = tickerInfo(ticker)
if data["divDate"] == 0:
return "{} has no dividend.".format(data["companyName"])
dividendInfo = "{} current dividend yield is: {:.3f}%, or ${:.3f} per share.".format(
data["companyName"], data["divRate"], data["divYield"]
)
divDate = data["divDate"]
# Pattern IEX uses for dividend date.
pattern = "%Y-%m-%d %H:%M:%S.%f"
# Convert divDate to seconds, and subtract it from current time.
divSeconds = datetime.strptime(divDate, pattern).timestamp()
difference = divSeconds - int(time.time())
# Calculate (d)ays, (h)ours, (m)inutes, and (s)econds
d, h = divmod(difference, 86400)
h, m = divmod(h, 3600)
m, s = divmod(m, 60)
countdownMessage = f"\n\nThe dividend is in: {d:.0f} Days {h:.0f} Hours {m:.0f} Minutes {s:.0f} Seconds."
return dividendInfo + countdownMessage