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mirror of https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot.git synced 2025-06-15 14:36:48 +00:00

Resolve "Combine Discord and Telegram bots into one repo and deploy with docker compose"

This commit is contained in:
Anson Biggs 2023-09-03 19:01:09 +00:00
parent d6dd6f7353
commit 8d749774d4
No known key found for this signature in database
17 changed files with 688 additions and 407 deletions

0
.env Normal file
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3
.gitignore vendored
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@ -1 +1,2 @@
__pycache__
__pycache__
.env

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@ -1,34 +1,5 @@
black:
stage: .pre
# stage: .pre
image: registry.gitlab.com/pipeline-components/black:latest
script:
- black --check --verbose -- .
build:master:
stage: build
image:
name: gcr.io/kaniko-project/executor:v1.9.0-debug
entrypoint: [""]
script:
- /kaniko/executor
--context "${CI_PROJECT_DIR}"
--dockerfile "${CI_PROJECT_DIR}/Dockerfile"
--destination "${CI_REGISTRY_IMAGE}:latest"
rules:
- if: '$CI_COMMIT_BRANCH == "master"'
build:branch:
stage: build
image:
name: gcr.io/kaniko-project/executor:v1.9.0-debug
entrypoint: [""]
script:
- /kaniko/executor
--context "${CI_PROJECT_DIR}"
--dockerfile "${CI_PROJECT_DIR}/Dockerfile"
--destination "${CI_REGISTRY_IMAGE}:${CI_COMMIT_SHORT_SHA}"
--destination "${CI_REGISTRY_IMAGE}:${CI_COMMIT_BRANCH}"
rules:
- if: '$CI_COMMIT_BRANCH != "master"'

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@ -8,7 +8,7 @@ import pytz
import requests as r
import schedule
from Symbol import Stock
from common.Symbol import Stock
log = logging.getLogger(__name__)

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@ -1,367 +1,367 @@
import logging
from typing import List
import pandas as pd
import requests as r
import schedule
from markdownify import markdownify
from Symbol import Coin
log = logging.getLogger(__name__)
class cg_Crypto:
"""
Functions for finding crypto info
"""
vs_currency = "usd" # simple/supported_vs_currencies for list of options
trending_cache: List[str] = []
def __init__(self) -> None:
self.get_symbol_list()
schedule.every().day.do(self.get_symbol_list)
def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
url = "https://api.coingecko.com/api/v3" + endpoint
resp = r.get(url, params=params, timeout=timeout)
# Make sure API returned a proper status code
try:
resp.raise_for_status()
except r.exceptions.HTTPError as e:
log.error(e)
return {}
# Make sure API returned valid JSON
try:
resp_json = resp.json()
return resp_json
except r.exceptions.JSONDecodeError as e:
log.error(e)
return {}
def symbol_id(self, symbol) -> str:
try:
return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0]
except KeyError:
return ""
def get_symbol_list(self):
raw_symbols = self.get("/coins/list")
symbols = pd.DataFrame(data=raw_symbols)
# Removes all binance-peg symbols
symbols = symbols[~symbols["id"].str.contains("binance-peg")]
symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"]
symbols = symbols[["id", "symbol", "name", "description"]]
symbols["type_id"] = "$$" + symbols["symbol"]
self.symbol_list = symbols
def status(self) -> str:
"""Checks CoinGecko /ping endpoint for API issues.
Returns
-------
str
Human readable text on status of CoinGecko API
"""
status = r.get(
"https://api.coingecko.com/api/v3/ping",
timeout=5,
)
try:
status.raise_for_status()
return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds."
)
except r.HTTPError:
return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} Seconds."
def price_reply(self, coin: Coin) -> str:
"""Returns current market price or after hours if its available for a given coin symbol.
Parameters
----------
symbols : list
List of coin symbols.
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable
markdown formatted string of the symbols price and movement.
"""
if resp := self.get(
"/simple/price",
params={
"ids": coin.id,
"vs_currencies": self.vs_currency,
"include_24hr_change": "true",
},
):
try:
data = resp[coin.id]
price = data[self.vs_currency]
change = data[self.vs_currency + "_24h_change"]
if change is None:
change = 0
except KeyError:
return f"{coin.id} returned an error."
message = f"The current price of {coin.name} is $**{price:,}**"
# Determine wording of change text
if change > 0:
message += f", the coin is currently **up {change:.3f}%** for today"
elif change < 0:
message += f", the coin is currently **down {change:.3f}%** for today"
else:
message += ", the coin hasn't shown any movement today."
else:
message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`"
return message
def intra_reply(self, symbol: Coin) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open.
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": 1},
):
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 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
import logging
from typing import List
import pandas as pd
import requests as r
import schedule
from markdownify import markdownify
from common.Symbol import Coin
log = logging.getLogger(__name__)
class cg_Crypto:
"""
Functions for finding crypto info
"""
vs_currency = "usd" # simple/supported_vs_currencies for list of options
trending_cache: List[str] = []
def __init__(self) -> None:
self.get_symbol_list()
schedule.every().day.do(self.get_symbol_list)
def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
url = "https://api.coingecko.com/api/v3" + endpoint
resp = r.get(url, params=params, timeout=timeout)
# Make sure API returned a proper status code
try:
resp.raise_for_status()
except r.exceptions.HTTPError as e:
log.error(e)
return {}
# Make sure API returned valid JSON
try:
resp_json = resp.json()
return resp_json
except r.exceptions.JSONDecodeError as e:
log.error(e)
return {}
def symbol_id(self, symbol) -> str:
try:
return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0]
except KeyError:
return ""
def get_symbol_list(self):
raw_symbols = self.get("/coins/list")
symbols = pd.DataFrame(data=raw_symbols)
# Removes all binance-peg symbols
symbols = symbols[~symbols["id"].str.contains("binance-peg")]
symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"]
symbols = symbols[["id", "symbol", "name", "description"]]
symbols["type_id"] = "$$" + symbols["symbol"]
self.symbol_list = symbols
def status(self) -> str:
"""Checks CoinGecko /ping endpoint for API issues.
Returns
-------
str
Human readable text on status of CoinGecko API
"""
status = r.get(
"https://api.coingecko.com/api/v3/ping",
timeout=5,
)
try:
status.raise_for_status()
return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds."
)
except r.HTTPError:
return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} Seconds."
def price_reply(self, coin: Coin) -> str:
"""Returns current market price or after hours if its available for a given coin symbol.
Parameters
----------
symbols : list
List of coin symbols.
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable
markdown formatted string of the symbols price and movement.
"""
if resp := self.get(
"/simple/price",
params={
"ids": coin.id,
"vs_currencies": self.vs_currency,
"include_24hr_change": "true",
},
):
try:
data = resp[coin.id]
price = data[self.vs_currency]
change = data[self.vs_currency + "_24h_change"]
if change is None:
change = 0
except KeyError:
return f"{coin.id} returned an error."
message = f"The current price of {coin.name} is $**{price:,}**"
# Determine wording of change text
if change > 0:
message += f", the coin is currently **up {change:.3f}%** for today"
elif change < 0:
message += f", the coin is currently **down {change:.3f}%** for today"
else:
message += ", the coin hasn't shown any movement today."
else:
message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`"
return message
def intra_reply(self, symbol: Coin) -> pd.DataFrame:
"""Returns price data for a symbol since the last market open.
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": 1},
):
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 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

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@ -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

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@ -1,4 +1,4 @@
-r requirements.txt
-r telegram/requirements.txt
black==23.3.0
flake8==5.0.4
Flake8-pyproject==1.2.3

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discord/D_info.py Normal file
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@ -0,0 +1,65 @@
"""Functions and Info specific to the discord Bot
"""
import re
import requests as r
class D_info:
license = re.sub(
r"\b\n",
" ",
r.get("https://gitlab.com/simple-stock-bots/simple-discord-stock-bot/-/raw/master/LICENSE").text,
)
help_text = """
Thanks for using this bot, consider supporting it by [buying me a beer.](https://www.buymeacoffee.com/Anson)
If you are interested in stock market data, or want to host your own bot, be sure to use my affiliate link so that the bot can stay free: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord)
Keep up with the latest news for the bot in its discord Channel: https://t.me/simplestockbotnews
Full documentation on using and running your own stock bot can be found on the bots [docs.](https://docs.simplestockbot.com)
The bot detects _"Symbols"_ using either one `$` or two `$$` dollar signs before the symbol. One dollar sign is for a stock market ticker, while two is for a cryptocurrency coin. `/chart $$eth` would return a chart of the past month of data for Ethereum, while `/dividend $psec` returns dividend information for Prospect Capital stock.
Simply calling a symbol in any message that the bot can see will also return the price. So a message like: `I wonder if $$btc will go to the Moon now that $tsla accepts it as payment` would return the current price for both Bitcoin and Tesla.
**Commands**
- `/donate [amount in USD]` to donate. 🎗
- `/intra $[symbol]` Plot of the stocks movement since the last market open. 📈
- `/chart $[symbol]` Plot of the stocks movement for the past 1 month. 📊
- `/trending` Trending Stocks and Cryptos. 💬
- `/help` Get some help using the bot. 🆘
**Inline Features**
You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price. Then once you select the ticker want the bot will send a message as you in that chat with the latest stock price. Prices may be delayed by up to an hour.
Market data is provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord)
If you believe the bot is not behaving properly run `/status` or [get in touch](https://docs.simplestockbot.com/contact).
"""
donate_text = """
Simple Stock Bot is run entirely on donations[.](https://www.buymeacoffee.com/Anson)
All donations go directly towards paying for servers, and market data is provided by
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
The easiest way to donate is to run the `/donate [amount in USD]` command with US dollars you would like to donate.
Example: `/donate 2` would donate 2 USD.
An alternative way to donate is through https://www.buymeacoffee.com/Anson which requires no account and accepts Paypal or Credit card.
If you have any questions see the [website](https://docs.simplestockbot.com)
"""
commands = """ # Not used by the bot but for updating commands with BotFather
donate - Donate to the bot 🎗
help - Get some help using the bot. 🆘
trending - Trending Stocks and Cryptos. 💬
intra - $[symbol] Plot since the last market open. 📈
chart - $[chart] Plot of the past month. 📊
"""

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@ -1,7 +1,8 @@
FROM python:3.11-buster AS builder
COPY requirements.txt /requirements.txt
COPY discord/requirements.txt .
RUN pip install --user -r requirements.txt
@ -11,7 +12,7 @@ ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local
COPY . .
COPY common common
COPY discord .
CMD [ "python", "./bot.py" ]

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discord/bot.py Normal file
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@ -0,0 +1,202 @@
import datetime
import io
import logging
import os
import mplfinance as mpf
import nextcord
from nextcord.ext import commands
from D_info import D_info
from common.symbol_router import Router
DISCORD_TOKEN = os.environ["DISCORD"]
s = Router()
d = D_info()
intents = nextcord.Intents.default()
client = nextcord.Client(intents=intents)
bot = commands.Bot(command_prefix="/", description=d.help_text, intents=intents)
logger = logging.getLogger("nextcord")
logger.setLevel(logging.INFO)
handler = logging.FileHandler(filename="nextcord.log", encoding="utf-8", mode="w")
handler.setFormatter(logging.Formatter("%(asctime)s:%(levelname)s:%(name)s: %(message)s"))
logger.addHandler(handler)
@bot.event
async def on_ready():
logging.info("Starting Simple Stock Bot")
logging.info(f"Logged in as {bot.user.name} {bot.user.id}")
@bot.command()
async def status(ctx: commands):
"""Debug command for diagnosing if the bot is experiencing any issues."""
logging.warning(f"Status command ran by {ctx.message.author}")
message = ""
try:
message = "Contact MisterBiggs#0465 if you need help.\n"
message += s.status(f"Bot recieved your message in: {bot.latency*1000:.4f}ms") + "\n"
except Exception as ex:
logging.critical(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.*"
)
await ctx.send(message)
@bot.command()
async def license(ctx: commands):
"""Returns the bots license agreement."""
await ctx.send(d.license)
@bot.command()
async def donate(ctx: commands):
"""Details on how to support the development and hosting of the bot."""
await ctx.send(d.donate_text)
@bot.command()
async def search(ctx: commands, *, query: str):
"""Search for a stock symbol using either symbol of company name."""
results = s.search_symbols(query)
if results:
reply = "*Search Results:*\n`$ticker: Company Name`\n"
for query in results:
reply += "`" + query[1] + "`\n"
await ctx.send(reply)
@bot.command()
async def crypto(ctx: commands, _: str):
"""Get the price of a cryptocurrency using in USD."""
await ctx.send("Crypto now has native support. Any crypto can be called using two dollar signs: `$$eth` `$$btc` `$$doge`")
@bot.command()
async def intra(ctx: commands, sym: str):
"""Get a chart for the stocks movement since market open."""
symbols = s.find_symbols(sym)
if len(symbols):
symbol = symbols[0]
else:
await ctx.send("No symbols or coins found.")
return
df = s.intra_reply(symbol)
if df.empty:
await ctx.send("Invalid symbol please see `/help` for usage details.")
return
with ctx.channel.typing():
buf = io.BytesIO()
mpf.plot(
df,
type="renko",
title=f"\n{symbol.name}",
volume="volume" in df.keys(),
style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
)
buf.seek(0)
# Get price so theres no request lag after the image is sent
price_reply = s.price_reply([symbol])[0]
await ctx.send(
file=nextcord.File(
buf,
filename=f"{symbol.name}:intra{datetime.date.today().strftime('%S%M%d%b%Y')}.png",
),
content=f"\nIntraday chart for {symbol.name} from {df.first_valid_index().strftime('%d %b at %H:%M')} to"
+ f" {df.last_valid_index().strftime('%d %b at %H:%M')}",
)
await ctx.send(price_reply)
@bot.command()
async def chart(ctx: commands, sym: str):
"""returns a chart of the past month of data for a symbol"""
symbols = s.find_symbols(sym)
if len(symbols):
symbol = symbols[0]
else:
await ctx.send("No symbols or coins found.")
return
df = s.chart_reply(symbol)
if df.empty:
await ctx.send("Invalid symbol please see `/help` for usage details.")
return
with ctx.channel.typing():
buf = io.BytesIO()
mpf.plot(
df,
type="candle",
title=f"\n{symbol.name}",
volume="volume" in df.keys(),
style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
)
buf.seek(0)
# Get price so theres no request lag after the image is sent
price_reply = s.price_reply([symbol])[0]
await ctx.send(
file=nextcord.File(
buf,
filename=f"{symbol.name}:1M{datetime.date.today().strftime('%d%b%Y')}.png",
),
content=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}"
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}",
)
await ctx.send(price_reply)
@bot.command()
async def cap(ctx: commands, sym: str):
"""Get the market cap of a symbol"""
symbols = s.find_symbols(sym)
if symbols:
with ctx.channel.typing():
for reply in s.cap_reply(symbols):
await ctx.send(reply)
@bot.command()
async def trending(ctx: commands):
"""Get a list of Trending Stocks and Coins"""
with ctx.channel.typing():
await ctx.send(s.trending())
@bot.event
async def on_message(message):
if message.author.id == bot.user.id:
return
if message.content:
if message.content[0] == "/":
await bot.process_commands(message)
return
if "$" in message.content:
symbols = s.find_symbols(message.content)
if symbols:
for reply in s.price_reply(symbols):
await message.channel.send(reply)
return
bot.run(DISCORD_TOKEN)

7
discord/requirements.txt Normal file
View File

@ -0,0 +1,7 @@
nextcord==2.4.2
requests==2.25.1
pandas==2.0.0
schedule==1.0.0
mplfinance==0.12.7a5
markdownify==0.6.5
cachetools==4.2.2

13
docker-compose.yaml Normal file
View File

@ -0,0 +1,13 @@
version: '3'
services:
telegram:
build:
context: .
dockerfile: telegram/Dockerfile
image: registry.gitlab.com/simple-stock-bots/simple-telegram-stock-bot
env_file: .env
discord:
build:
context: .
dockerfile: discord/Dockerfile
env_file: .env

21
telegram/Dockerfile Normal file
View File

@ -0,0 +1,21 @@
FROM python:3.11-buster AS builder
COPY telegram/requirements.txt .
RUN pip install --user -r requirements.txt
FROM python:3.11-slim
ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local
COPY common common
COPY telegram .
CMD [ "python", "./bot.py" ]

View File

@ -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