Anson/Simple-Stock-Bot
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Anson Biggs 2021-02-28 00:44:31 -07:00
parent e08f3c4275
commit 19c2daa9f9
4 changed files with 107 additions and 90 deletions
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33
IEX_Symbol.py
View File

@ -10,6 +10,8 @@ import schedule
from fuzzywuzzy import fuzz
import os
from symbol_router import Stock
class IEX_Symbol:
"""
@ -47,7 +49,9 @@ class IEX_Symbol:
"""Clears cache of chart data."""
self.charts = {}
def get_symbol_list(self, return_df=False) -> Optional[pd.DataFrame]:
def get_symbol_list(
self, return_df=False
) -> Optional[Tuple[pd.DataFrame, datetime]]:
raw_symbols = r.get(
f"https://cloud.iexapis.com/stable/ref-data/symbols?token={self.IEX_TOKEN}"
@ -141,7 +145,7 @@ class IEX_Symbol:
self.searched_symbols[search] = symbol_list
return symbol_list
def price_reply(self, symbol: str) -> str:
def price_reply(self, symbol: Stock) -> str:
"""Returns current market price or after hours if its available for a given stock symbol.
Parameters
@ -208,7 +212,7 @@ class IEX_Symbol:
return message
def dividend_reply(self, symbol: str) -> str:
def dividend_reply(self, symbol: Stock) -> str:
"""Returns the most recent, or next dividend date for a stock symbol.
Parameters
@ -259,7 +263,8 @@ class IEX_Symbol:
).days
return (
f"The next dividend for ${self.symbol_list[self.symbol_list['symbol']==symbol.upper()]['description'].item()}"
"The next dividend for"
+ f"${self.symbol_list[self.symbol_list['symbol']==symbol.id.upper()]['description'].item()}"
+ f" is on {payment} which is in {daysDelta} days."
+ f" The dividend is for {price} per share."
+ f"\nThe dividend was declared on {declared} and the ex-dividend date is {ex}"
@ -267,7 +272,7 @@ class IEX_Symbol:
return f"{symbol} either doesn't exist or pays no dividend."
def news_reply(self, symbol: str) -> str:
def news_reply(self, symbol: Stock) -> str:
"""Gets recent english news on stock symbols.
Parameters
@ -286,7 +291,7 @@ class IEX_Symbol:
if response.status_code == 200:
data = response.json()
if len(data):
message = f"News for **{symbol.upper()}**:\n\n"
message = f"News for **{symbol.id.upper()}**:\n\n"
for news in data:
if news["lang"] == "en" and not news["hasPaywall"]:
message = (
@ -300,7 +305,7 @@ class IEX_Symbol:
return message
def info_reply(self, symbol: str) -> str:
def info_reply(self, symbol: Stock) -> str:
"""Gets information on stock symbols.
Parameters
@ -329,7 +334,7 @@ class IEX_Symbol:
return message
def intra_reply(self, symbol: str) -> pd.DataFrame:
def intra_reply(self, symbol: Stock) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open.
Parameters
@ -342,7 +347,7 @@ class IEX_Symbol:
pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"""
if symbol.upper() not in list(self.symbol_list["symbol"]):
if symbol.id.upper() not in list(self.symbol_list["symbol"]):
return pd.DataFrame()
IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/intraday-prices?token={self.IEX_TOKEN}"
@ -356,7 +361,7 @@ class IEX_Symbol:
return pd.DataFrame()
def chart_reply(self, symbol: str) -> pd.DataFrame:
def chart_reply(self, symbol: Stock) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close.
Also caches multiple requests made in the same day.
@ -372,11 +377,11 @@ class IEX_Symbol:
"""
schedule.run_pending()
if symbol.upper() not in list(self.symbol_list["symbol"]):
if symbol.id.upper() not in list(self.symbol_list["symbol"]):
return pd.DataFrame()
try: # https://stackoverflow.com/a/3845776/8774114
return self.charts[symbol.upper()]
return self.charts[symbol.id.upper()]
except KeyError:
pass
@ -389,12 +394,12 @@ class IEX_Symbol:
df.dropna(inplace=True, subset=["date", "minute", "high", "low", "volume"])
df["DT"] = pd.to_datetime(df["date"] + "T" + df["minute"])
df = df.set_index("DT")
self.charts[symbol.upper()] = df
self.charts[symbol.id.upper()] = df
return df
return pd.DataFrame()
def stat_reply(self, symbol: str) -> str:
def stat_reply(self, symbol: Stock) -> str:
"""Gets key statistics for each symbol in the list
Parameters

20
bot.py
View File

@ -67,26 +67,8 @@ def license(update: Update, context: CallbackContext):
def status(update: Update, context: CallbackContext):
message = ""
try:
# Bot Status
bot_resp = (
datetime.datetime.now(update.message.date.tzinfo) - update.message.date
)
message += f"It took {bot_resp.total_seconds()} seconds for the bot to get your message.\n"
# IEX Status
message += s.iex_status() + "\n"
# Message Status
message += s.message_status()
except Exception as ex:
message += (
f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n"
+ "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*"
)
update.message.reply_text(text=message, parse_mode=telegram.ParseMode.MARKDOWN)
update.message.reply_text(text=s.status(), parse_mode=telegram.ParseMode.MARKDOWN)
def donate(update: Update, context: CallbackContext):

20
cg_Crypto.py
View File

@ -9,6 +9,7 @@ import requests as r
import schedule
from fuzzywuzzy import fuzz
from markdownify import markdownify
from symbol_router import Coin
class cg_Crypto:
@ -39,7 +40,9 @@ class cg_Crypto:
except KeyError:
return ""
def get_symbol_list(self, return_df=False) -> Optional[pd.DataFrame]:
def get_symbol_list(
self, return_df=False
) -> Optional[Tuple[pd.DataFrame, datetime]]:
raw_symbols = r.get("https://api.coingecko.com/api/v3/coins/list").json()
symbols = pd.DataFrame(data=raw_symbols)
@ -103,7 +106,7 @@ class cg_Crypto:
self.searched_symbols[search] = symbol_list
return symbol_list
def price_reply(self, symbol: str) -> str:
def price_reply(self, symbol: Coin) -> str:
"""Returns current market price or after hours if its available for a given coin symbol.
Parameters
@ -146,7 +149,7 @@ class cg_Crypto:
return message
def intra_reply(self, symbol: str) -> pd.DataFrame:
def intra_reply(self, symbol: Coin) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open.
Parameters
@ -172,7 +175,7 @@ class cg_Crypto:
return pd.DataFrame()
def chart_reply(self, symbol: str) -> pd.DataFrame:
def chart_reply(self, symbol: Coin) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close.
Also caches multiple requests made in the same day.
@ -200,7 +203,7 @@ class cg_Crypto:
return pd.DataFrame()
def stat_reply(self, symbol: str) -> str:
def stat_reply(self, symbol: Coin) -> str:
"""Gets key statistics for each symbol in the list
Parameters
@ -219,7 +222,7 @@ class cg_Crypto:
if response.status_code == 200:
data = response.json()
message = f"""
return f"""
[{data['name']}]({data['links']['homepage'][0]}) Statistics:
Maket Cap Ranking: {data.get('market_cap_rank',"Not Available")}
CoinGecko Scores:
@ -228,9 +231,10 @@ class cg_Crypto:
Community: {data.get('community_score','Not Available')}
Public Interest: {data.get('public_interest_score','Not Available')}
"""
return message
else:
return f"{symbol.symbol} returned an error."
def info_reply(self, symbol: str) -> str:
def info_reply(self, symbol: Coin) -> str:
"""Gets information on stock symbols.
Parameters

124
symbol_router.py
View File

@ -5,7 +5,7 @@ import re
import requests as r
import pandas as pd
from typing import List, Dict
from typing import List, Tuple, TypeVar
from IEX_Symbol import IEX_Symbol
from cg_Crypto import cg_Crypto
@ -19,7 +19,7 @@ class Router:
self.stock = IEX_Symbol()
self.crypto = cg_Crypto()
def find_symbols(self, text: str) -> Dict[str, str]:
def find_symbols(self, text: str) -> List[any]:
"""Finds stock tickers starting with a dollar sign, and cryptocurrencies with two dollar signs
in a blob of text and returns them in a list.
Only returns each match once. Example: Whats the price of $tsla?
@ -60,7 +60,7 @@ class Router:
Human readable text on status of IEX API
"""
def search_symbols(self, search: str) -> List[str]:
def search_symbols(self, search: str) -> List[Tuple[str, str]]:
"""Performs a fuzzy search to find stock symbols closest to a search term.
Parameters
@ -74,9 +74,9 @@ class Router:
A list tuples of every stock sorted in order of how well they match. Each tuple contains: (Symbol, Issue Name).
"""
# TODO add support for crypto
return self.stock.find_symbols(search)
return self.stock.search_symbols(search)
def price_reply(self, symbols: dict) -> List[str]:
def price_reply(self, symbols: list) -> List[str]:
"""Returns current market price or after hours if its available for a given stock symbol.
Parameters
@ -99,10 +99,10 @@ class Router:
replies.append(self.crypto.price_reply(symbol))
else:
print(f"{symbol} is not a Stock or Coin")
print(replies)
return replies
def dividend_reply(self, symbols: dict) -> Dict[str, str]:
def dividend_reply(self, symbols: list) -> List[str]:
"""Returns the most recent, or next dividend date for a stock symbol.
Parameters
@ -116,15 +116,17 @@ class Router:
Each symbol passed in is a key with its value being a human readable formatted string of the symbols div dates.
"""
replies = []
for symbol in symbols:
if isinstance(symbol, Stock):
replies.append(self.stock.dividend_reply(symbol))
elif isinstance(symbol, Coin):
replies.append("Cryptocurrencies do no have Dividends.")
else:
print(f"{symbol} is not a Stock or Coin")
if symbols["stocks"]:
for s in symbols["stocks"]:
replies.append(self.stock.price_reply(s))
return replies
if symbols["crypto"]:
replies.append("Cryptocurrencies do no have Dividends.")
def news_reply(self, symbols: dict) -> List[str]:
def news_reply(self, symbols: list) -> List[str]:
"""Gets recent english news on stock symbols.
Parameters
@ -139,17 +141,18 @@ class Router:
"""
replies = []
if symbols["stocks"]:
for s in symbols["stocks"]:
replies.append(self.stock.price_reply(s))
if symbols["crypto"]:
for s in symbols["crypto"]:
replies.append(self.crypto.price_reply(s))
for symbol in symbols:
if isinstance(symbol, Stock):
replies.append(self.stock.news_reply(symbol))
elif isinstance(symbol, Coin):
# replies.append(self.crypto.news_reply(symbol))
replies.append("News is not yet supported for cryptocurrencies.")
else:
print(f"{symbol} is not a Stock or Coin")
return replies
def info_reply(self, symbols: dict) -> List[str]:
def info_reply(self, symbols: list) -> List[str]:
"""Gets information on stock symbols.
Parameters
@ -164,17 +167,17 @@ class Router:
"""
replies = []
if symbols["stocks"]:
for s in symbols["stocks"]:
replies.append(self.stock.price_reply(s))
if symbols["crypto"]:
for s in symbols["crypto"]:
replies.append(self.crypto.price_reply(s))
for symbol in symbols:
if isinstance(symbol, Stock):
replies.append(self.stock.info_reply(symbol))
elif isinstance(symbol, Coin):
replies.append(self.crypto.info_reply(symbol))
else:
print(f"{symbol} is not a Stock or Coin")
return replies
def intra_reply(self, symbol: str, type: str) -> pd.DataFrame:
def intra_reply(self, symbol: str) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open.
Parameters
@ -187,14 +190,16 @@ class Router:
pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"""
if type == "stocks":
if isinstance(symbol, Stock):
return self.stock.intra_reply(symbol)
elif type == "crypto":
elif isinstance(symbol, Coin):
return self.crypto.intra_reply(symbol)
else:
raise f"Unknown type: {type}"
print(f"{symbol} is not a Stock or Coin")
return pd.DataFrame()
def chart_reply(self, symbols: str) -> pd.DataFrame:
def chart_reply(self, symbol: str) -> pd.DataFrame:
"""Returns price data for a symbol of the past month up until the previous trading days close.
Also caches multiple requests made in the same day.
@ -208,12 +213,15 @@ class Router:
pd.DataFrame
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
"""
if symbols["stocks"]:
return self.stock.intra_reply(symbol := symbols["stocks"][0]), symbol
if symbols["crypto"]:
return self.stock.intra_reply(symbol := symbols["crypto"][0]), symbol
if isinstance(symbol, Stock):
return self.stock.chart_reply(symbol)
elif isinstance(symbol, Coin):
return self.crypto.chart_reply(symbol)
else:
print(f"{symbol} is not a Stock or Coin")
return pd.DataFrame()
def stat_reply(self, symbols: List[str]) -> Dict[str, str]:
def stat_reply(self, symbols: List[str]) -> List[str]:
"""Gets key statistics for each symbol in the list
Parameters
@ -228,31 +236,49 @@ class Router:
"""
replies = []
if symbols["stocks"]:
for s in symbols["stocks"]:
replies.append(self.stock.price_reply(s))
for symbol in symbols:
if isinstance(symbol, Stock):
replies.append(self.stock.stat_reply(symbol))
elif isinstance(symbol, Coin):
replies.append(self.crypto.stat_reply(symbol))
else:
print(f"{symbol} is not a Stock or Coin")
if symbols["crypto"]:
for s in symbols["crypto"]:
replies.append(self.crypto.price_reply(s))
return replies
Sym = TypeVar("Sym", Stock, Coin)
class Symbol:
"""
symbol: What the user calls it. ie tsla or btc
id: What the api expects. ie tsla or bitcoin
name: Human readable. ie Tesla or Bitcoin
"""
currency = "usd"
pass
def __init__(self, symbol) -> None:
self.symbol = symbol
self.id = symbol
def __repr__(self) -> str:
return f"{self.__class__.__name__} instance of {self.id} at {id(self)}"
return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>"
def __str__(self) -> str:
return self.id
class Stock(Symbol):
def __init__(self, symbol) -> None:
def __init__(self, symbol: str) -> None:
self.symbol = symbol
self.id = symbol
class Coin(Symbol):
def __init__(self, symbol) -> None:
def __init__(self, symbol: str) -> None:
self.symbol = symbol
self.get_data()
@ -263,4 +289,4 @@ class Coin(Symbol):
self.name = data["name"]
self.description = data["description"]
self.price = data["market_data"]["current_price"][self.currency]
self.price = data["market_data"]["current_price"][self.currency]