mirror of
https://gitlab.com/simple-stock-bots/simple-stock-bot.git
synced 2025-06-15 14:56:40 +00:00
refactor telegram bot to use docker compose
This commit is contained in:
parent
68eca88034
commit
2ed995393b
@ -8,7 +8,7 @@ import pytz
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import requests as r
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import schedule
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from Symbol import Stock
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from common.Symbol import Stock
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log = logging.getLogger(__name__)
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@ -1,367 +1,367 @@
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import logging
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from typing import List
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import pandas as pd
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import requests as r
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import schedule
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from markdownify import markdownify
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from Symbol import Coin
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log = logging.getLogger(__name__)
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class cg_Crypto:
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"""
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Functions for finding crypto info
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"""
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vs_currency = "usd" # simple/supported_vs_currencies for list of options
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trending_cache: List[str] = []
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def __init__(self) -> None:
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self.get_symbol_list()
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schedule.every().day.do(self.get_symbol_list)
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def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
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url = "https://api.coingecko.com/api/v3" + endpoint
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resp = r.get(url, params=params, timeout=timeout)
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# Make sure API returned a proper status code
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try:
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resp.raise_for_status()
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except r.exceptions.HTTPError as e:
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log.error(e)
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return {}
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# Make sure API returned valid JSON
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try:
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resp_json = resp.json()
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return resp_json
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except r.exceptions.JSONDecodeError as e:
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log.error(e)
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return {}
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def symbol_id(self, symbol) -> str:
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try:
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return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0]
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except KeyError:
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return ""
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def get_symbol_list(self):
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raw_symbols = self.get("/coins/list")
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symbols = pd.DataFrame(data=raw_symbols)
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# Removes all binance-peg symbols
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symbols = symbols[~symbols["id"].str.contains("binance-peg")]
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symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"]
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symbols = symbols[["id", "symbol", "name", "description"]]
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symbols["type_id"] = "$$" + symbols["symbol"]
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self.symbol_list = symbols
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def status(self) -> str:
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"""Checks CoinGecko /ping endpoint for API issues.
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Returns
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-------
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str
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Human readable text on status of CoinGecko API
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"""
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status = r.get(
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"https://api.coingecko.com/api/v3/ping",
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timeout=5,
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)
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try:
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status.raise_for_status()
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return (
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f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds."
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)
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except r.HTTPError:
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return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} Seconds."
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def price_reply(self, coin: Coin) -> str:
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"""Returns current market price or after hours if its available for a given coin symbol.
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Parameters
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----------
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symbols : list
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List of coin symbols.
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Returns
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-------
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Dict[str, str]
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Each symbol passed in is a key with its value being a human readable
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markdown formatted string of the symbols price and movement.
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"""
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if resp := self.get(
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"/simple/price",
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params={
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"ids": coin.id,
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"vs_currencies": self.vs_currency,
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"include_24hr_change": "true",
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},
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):
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try:
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data = resp[coin.id]
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price = data[self.vs_currency]
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change = data[self.vs_currency + "_24h_change"]
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if change is None:
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change = 0
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except KeyError:
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return f"{coin.id} returned an error."
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message = f"The current price of {coin.name} is $**{price:,}**"
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# Determine wording of change text
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if change > 0:
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message += f", the coin is currently **up {change:.3f}%** for today"
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elif change < 0:
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message += f", the coin is currently **down {change:.3f}%** for today"
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else:
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message += ", the coin hasn't shown any movement today."
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else:
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message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`"
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return message
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def intra_reply(self, symbol: Coin) -> pd.DataFrame:
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"""Returns price data for a symbol since the last market open.
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Parameters
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----------
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symbol : str
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Stock symbol.
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Returns
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-------
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pd.DataFrame
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Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
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"""
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if resp := self.get(
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f"/coins/{symbol.id}/ohlc",
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params={"vs_currency": self.vs_currency, "days": 1},
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):
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df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
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df["Date"] = pd.to_datetime(df["Date"], unit="ms")
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df = df.set_index("Date")
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return df
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return pd.DataFrame()
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def chart_reply(self, symbol: Coin) -> pd.DataFrame:
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"""Returns price data for a symbol of the past month up until the previous trading days close.
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Also caches multiple requests made in the same day.
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Parameters
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----------
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symbol : str
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Stock symbol.
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Returns
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-------
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pd.DataFrame
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Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
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"""
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if resp := self.get(
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f"/coins/{symbol.id}/ohlc",
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params={"vs_currency": self.vs_currency, "days": 30},
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):
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df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
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df["Date"] = pd.to_datetime(df["Date"], unit="ms")
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df = df.set_index("Date")
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return df
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return pd.DataFrame()
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def stat_reply(self, symbol: Coin) -> str:
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"""Gathers key statistics on coin. Mostly just CoinGecko scores.
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Parameters
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----------
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symbol : Coin
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Returns
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-------
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str
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Preformatted markdown.
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"""
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if data := self.get(
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f"/coins/{symbol.id}",
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params={
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"localization": "false",
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},
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):
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return f"""
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[{data['name']}]({data['links']['homepage'][0]}) Statistics:
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Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,}
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Market Cap Ranking: {data.get('market_cap_rank',"Not Available")}
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CoinGecko Scores:
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Overall: {data.get('coingecko_score','Not Available')}
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Development: {data.get('developer_score','Not Available')}
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Community: {data.get('community_score','Not Available')}
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Public Interest: {data.get('public_interest_score','Not Available')}
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"""
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else:
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return f"{symbol.symbol} returned an error."
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def cap_reply(self, coin: Coin) -> str:
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"""Gets market cap for Coin
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Parameters
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----------
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coin : Coin
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Returns
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-------
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str
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Preformatted markdown.
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"""
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if resp := self.get(
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"/simple/price",
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params={
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"ids": coin.id,
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"vs_currencies": self.vs_currency,
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"include_market_cap": "true",
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},
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):
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log.debug(resp)
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try:
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data = resp[coin.id]
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price = data[self.vs_currency]
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cap = data[self.vs_currency + "_market_cap"]
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except KeyError:
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return f"{coin.id} returned an error."
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if cap == 0:
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return f"The market cap for {coin.name} is not available for unknown reasons."
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message = (
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f"The current price of {coin.name} is $**{price:,}** and"
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+ " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}"
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)
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else:
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message = f"The Coin: {coin.name} was not found or returned and error."
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return message
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def info_reply(self, symbol: Coin) -> str:
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"""Gets coin description
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Parameters
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----------
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symbol : Coin
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Returns
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-------
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str
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Preformatted markdown.
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"""
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if data := self.get(
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f"/coins/{symbol.id}",
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params={"localization": "false"},
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):
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try:
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return markdownify(data["description"]["en"])
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except KeyError:
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return f"{symbol} does not have a description available."
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return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
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def spark_reply(self, symbol: Coin) -> str:
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change = self.get(
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"/simple/price",
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params={
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"ids": symbol.id,
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"vs_currencies": self.vs_currency,
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"include_24hr_change": "true",
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},
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)[symbol.id]["usd_24h_change"]
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return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%"
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def trending(self) -> list[str]:
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"""Gets current coins trending on coingecko
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Returns
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-------
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list[str]
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list of $$ID: NAME, CHANGE%
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"""
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coins = self.get("/search/trending")
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try:
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trending = []
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for coin in coins["coins"]:
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c = coin["item"]
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sym = c["symbol"].upper()
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name = c["name"]
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change = self.get(
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"/simple/price",
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params={
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"ids": c["id"],
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"vs_currencies": self.vs_currency,
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"include_24hr_change": "true",
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},
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)[c["id"]]["usd_24h_change"]
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msg = f"`$${sym}`: {name}, {change:.2f}%"
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trending.append(msg)
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except Exception as e:
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log.warning(e)
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return self.trending_cache
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self.trending_cache = trending
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return trending
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def batch_price(self, coins: list[Coin]) -> list[str]:
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"""Gets price of a list of coins all in one API call
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Parameters
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----------
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coins : list[Coin]
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Returns
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-------
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list[str]
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returns preformatted list of strings detailing price movement of each coin passed in.
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"""
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query = ",".join([c.id for c in coins])
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prices = self.get(
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"/simple/price",
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params={
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"ids": query,
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"vs_currencies": self.vs_currency,
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"include_24hr_change": "true",
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},
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)
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replies = []
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for coin in coins:
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if coin.id in prices:
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p = prices[coin.id]
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if p.get("usd_24h_change") is None:
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p["usd_24h_change"] = 0
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replies.append(
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f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours."
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)
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return replies
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import logging
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from typing import List
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import pandas as pd
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import requests as r
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import schedule
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from markdownify import markdownify
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from common.Symbol import Coin
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log = logging.getLogger(__name__)
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class cg_Crypto:
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"""
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Functions for finding crypto info
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"""
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vs_currency = "usd" # simple/supported_vs_currencies for list of options
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trending_cache: List[str] = []
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def __init__(self) -> None:
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self.get_symbol_list()
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schedule.every().day.do(self.get_symbol_list)
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def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
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url = "https://api.coingecko.com/api/v3" + endpoint
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resp = r.get(url, params=params, timeout=timeout)
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# Make sure API returned a proper status code
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try:
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resp.raise_for_status()
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except r.exceptions.HTTPError as e:
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log.error(e)
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return {}
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# Make sure API returned valid JSON
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try:
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resp_json = resp.json()
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return resp_json
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except r.exceptions.JSONDecodeError as e:
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log.error(e)
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return {}
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def symbol_id(self, symbol) -> str:
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try:
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return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0]
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except KeyError:
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return ""
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def get_symbol_list(self):
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raw_symbols = self.get("/coins/list")
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symbols = pd.DataFrame(data=raw_symbols)
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# Removes all binance-peg symbols
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symbols = symbols[~symbols["id"].str.contains("binance-peg")]
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symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"]
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symbols = symbols[["id", "symbol", "name", "description"]]
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symbols["type_id"] = "$$" + symbols["symbol"]
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self.symbol_list = symbols
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def status(self) -> str:
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"""Checks CoinGecko /ping endpoint for API issues.
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Returns
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-------
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str
|
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Human readable text on status of CoinGecko API
|
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"""
|
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status = r.get(
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"https://api.coingecko.com/api/v3/ping",
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timeout=5,
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)
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try:
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status.raise_for_status()
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return (
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f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds."
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)
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except r.HTTPError:
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return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} Seconds."
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def price_reply(self, coin: Coin) -> str:
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"""Returns current market price or after hours if its available for a given coin symbol.
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|
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Parameters
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----------
|
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symbols : list
|
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List of coin symbols.
|
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|
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Returns
|
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-------
|
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Dict[str, str]
|
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Each symbol passed in is a key with its value being a human readable
|
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markdown formatted string of the symbols price and movement.
|
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"""
|
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|
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if resp := self.get(
|
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"/simple/price",
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params={
|
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"ids": coin.id,
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"vs_currencies": self.vs_currency,
|
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"include_24hr_change": "true",
|
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},
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):
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try:
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data = resp[coin.id]
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price = data[self.vs_currency]
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change = data[self.vs_currency + "_24h_change"]
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if change is None:
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change = 0
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except KeyError:
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return f"{coin.id} returned an error."
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|
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message = f"The current price of {coin.name} is $**{price:,}**"
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# Determine wording of change text
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if change > 0:
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message += f", the coin is currently **up {change:.3f}%** for today"
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elif change < 0:
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message += f", the coin is currently **down {change:.3f}%** for today"
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else:
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message += ", the coin hasn't shown any movement today."
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else:
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message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`"
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return message
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def intra_reply(self, symbol: Coin) -> pd.DataFrame:
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"""Returns price data for a symbol since the last market open.
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|
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Parameters
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----------
|
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symbol : str
|
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Stock symbol.
|
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|
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Returns
|
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-------
|
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pd.DataFrame
|
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Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
|
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"""
|
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|
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if resp := self.get(
|
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f"/coins/{symbol.id}/ohlc",
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params={"vs_currency": self.vs_currency, "days": 1},
|
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):
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df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
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df["Date"] = pd.to_datetime(df["Date"], unit="ms")
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df = df.set_index("Date")
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return df
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return pd.DataFrame()
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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.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
symbol : str
|
||||
Stock symbol.
|
||||
|
||||
Returns
|
||||
-------
|
||||
pd.DataFrame
|
||||
Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
|
||||
"""
|
||||
|
||||
if resp := self.get(
|
||||
f"/coins/{symbol.id}/ohlc",
|
||||
params={"vs_currency": self.vs_currency, "days": 30},
|
||||
):
|
||||
df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
|
||||
df["Date"] = pd.to_datetime(df["Date"], unit="ms")
|
||||
df = df.set_index("Date")
|
||||
return df
|
||||
|
||||
return pd.DataFrame()
|
||||
|
||||
def stat_reply(self, symbol: Coin) -> str:
|
||||
"""Gathers key statistics on coin. Mostly just CoinGecko scores.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
symbol : Coin
|
||||
|
||||
Returns
|
||||
-------
|
||||
str
|
||||
Preformatted markdown.
|
||||
"""
|
||||
|
||||
if data := self.get(
|
||||
f"/coins/{symbol.id}",
|
||||
params={
|
||||
"localization": "false",
|
||||
},
|
||||
):
|
||||
return f"""
|
||||
[{data['name']}]({data['links']['homepage'][0]}) Statistics:
|
||||
Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,}
|
||||
Market Cap Ranking: {data.get('market_cap_rank',"Not Available")}
|
||||
CoinGecko Scores:
|
||||
Overall: {data.get('coingecko_score','Not Available')}
|
||||
Development: {data.get('developer_score','Not Available')}
|
||||
Community: {data.get('community_score','Not Available')}
|
||||
Public Interest: {data.get('public_interest_score','Not Available')}
|
||||
"""
|
||||
else:
|
||||
return f"{symbol.symbol} returned an error."
|
||||
|
||||
def cap_reply(self, coin: Coin) -> str:
|
||||
"""Gets market cap for Coin
|
||||
|
||||
Parameters
|
||||
----------
|
||||
coin : Coin
|
||||
|
||||
Returns
|
||||
-------
|
||||
str
|
||||
Preformatted markdown.
|
||||
"""
|
||||
|
||||
if resp := self.get(
|
||||
"/simple/price",
|
||||
params={
|
||||
"ids": coin.id,
|
||||
"vs_currencies": self.vs_currency,
|
||||
"include_market_cap": "true",
|
||||
},
|
||||
):
|
||||
log.debug(resp)
|
||||
try:
|
||||
data = resp[coin.id]
|
||||
|
||||
price = data[self.vs_currency]
|
||||
cap = data[self.vs_currency + "_market_cap"]
|
||||
except KeyError:
|
||||
return f"{coin.id} returned an error."
|
||||
|
||||
if cap == 0:
|
||||
return f"The market cap for {coin.name} is not available for unknown reasons."
|
||||
|
||||
message = (
|
||||
f"The current price of {coin.name} is $**{price:,}** and"
|
||||
+ " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}"
|
||||
)
|
||||
|
||||
else:
|
||||
message = f"The Coin: {coin.name} was not found or returned and error."
|
||||
|
||||
return message
|
||||
|
||||
def info_reply(self, symbol: Coin) -> str:
|
||||
"""Gets coin description
|
||||
|
||||
Parameters
|
||||
----------
|
||||
symbol : Coin
|
||||
|
||||
Returns
|
||||
-------
|
||||
str
|
||||
Preformatted markdown.
|
||||
"""
|
||||
|
||||
if data := self.get(
|
||||
f"/coins/{symbol.id}",
|
||||
params={"localization": "false"},
|
||||
):
|
||||
try:
|
||||
return markdownify(data["description"]["en"])
|
||||
except KeyError:
|
||||
return f"{symbol} does not have a description available."
|
||||
|
||||
return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
|
||||
|
||||
def spark_reply(self, symbol: Coin) -> str:
|
||||
change = self.get(
|
||||
"/simple/price",
|
||||
params={
|
||||
"ids": symbol.id,
|
||||
"vs_currencies": self.vs_currency,
|
||||
"include_24hr_change": "true",
|
||||
},
|
||||
)[symbol.id]["usd_24h_change"]
|
||||
|
||||
return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%"
|
||||
|
||||
def trending(self) -> list[str]:
|
||||
"""Gets current coins trending on coingecko
|
||||
|
||||
Returns
|
||||
-------
|
||||
list[str]
|
||||
list of $$ID: NAME, CHANGE%
|
||||
"""
|
||||
|
||||
coins = self.get("/search/trending")
|
||||
try:
|
||||
trending = []
|
||||
for coin in coins["coins"]:
|
||||
c = coin["item"]
|
||||
|
||||
sym = c["symbol"].upper()
|
||||
name = c["name"]
|
||||
change = self.get(
|
||||
"/simple/price",
|
||||
params={
|
||||
"ids": c["id"],
|
||||
"vs_currencies": self.vs_currency,
|
||||
"include_24hr_change": "true",
|
||||
},
|
||||
)[c["id"]]["usd_24h_change"]
|
||||
|
||||
msg = f"`$${sym}`: {name}, {change:.2f}%"
|
||||
|
||||
trending.append(msg)
|
||||
|
||||
except Exception as e:
|
||||
log.warning(e)
|
||||
return self.trending_cache
|
||||
|
||||
self.trending_cache = trending
|
||||
return trending
|
||||
|
||||
def batch_price(self, coins: list[Coin]) -> list[str]:
|
||||
"""Gets price of a list of coins all in one API call
|
||||
|
||||
Parameters
|
||||
----------
|
||||
coins : list[Coin]
|
||||
|
||||
Returns
|
||||
-------
|
||||
list[str]
|
||||
returns preformatted list of strings detailing price movement of each coin passed in.
|
||||
"""
|
||||
query = ",".join([c.id for c in coins])
|
||||
|
||||
prices = self.get(
|
||||
"/simple/price",
|
||||
params={
|
||||
"ids": query,
|
||||
"vs_currencies": self.vs_currency,
|
||||
"include_24hr_change": "true",
|
||||
},
|
||||
)
|
||||
|
||||
replies = []
|
||||
for coin in coins:
|
||||
if coin.id in prices:
|
||||
p = prices[coin.id]
|
||||
|
||||
if p.get("usd_24h_change") is None:
|
||||
p["usd_24h_change"] = 0
|
||||
|
||||
replies.append(
|
||||
f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours."
|
||||
)
|
||||
|
||||
return replies
|
||||
@ -10,9 +10,9 @@ import pandas as pd
|
||||
import schedule
|
||||
from cachetools import TTLCache, cached
|
||||
|
||||
from cg_Crypto import cg_Crypto
|
||||
from MarketData import MarketData
|
||||
from Symbol import Coin, Stock, Symbol
|
||||
from common.cg_Crypto import cg_Crypto
|
||||
from common.MarketData import MarketData
|
||||
from common.Symbol import Coin, Stock, Symbol
|
||||
|
||||
from typing import Dict
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
-r requirements.txt
|
||||
-r telegram/requirements.txt
|
||||
black==23.3.0
|
||||
flake8==5.0.4
|
||||
Flake8-pyproject==1.2.3
|
||||
|
||||
7
docker-compose.yaml
Normal file
7
docker-compose.yaml
Normal file
@ -0,0 +1,7 @@
|
||||
version: '3'
|
||||
services:
|
||||
telegram:
|
||||
build:
|
||||
context: .
|
||||
dockerfile: telegram/Dockerfile
|
||||
env_file: .env
|
||||
@ -1,7 +1,8 @@
|
||||
FROM python:3.11-buster AS builder
|
||||
|
||||
|
||||
COPY requirements.txt /requirements.txt
|
||||
COPY telegram/requirements.txt .
|
||||
|
||||
RUN pip install --user -r requirements.txt
|
||||
|
||||
|
||||
@ -12,6 +13,9 @@ ENV MPLBACKEND=Agg
|
||||
COPY --from=builder /root/.local /root/.local
|
||||
|
||||
|
||||
COPY . .
|
||||
COPY common common
|
||||
COPY telegram .
|
||||
|
||||
|
||||
|
||||
CMD [ "python", "./bot.py" ]
|
||||
@ -28,7 +28,7 @@ from telegram.ext import (
|
||||
Updater,
|
||||
)
|
||||
|
||||
from symbol_router import Router
|
||||
from common.symbol_router import Router
|
||||
from T_info import T_info
|
||||
|
||||
# Enable logging
|
||||
Loading…
x
Reference in New Issue
Block a user