1
0
mirror of https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot.git synced 2025-06-15 14:36:48 +00:00

Resolve "Move docs into the monorepo"

This commit is contained in:
Anson Biggs 2023-10-09 03:31:40 +00:00
parent ad4262777d
commit 045ef09f93
48 changed files with 2590 additions and 2089 deletions

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FROM python:3.11
COPY . .
# RUN pip install -r requirements.txt

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// For format details, see https://aka.ms/devcontainer.json. For config options, see the
// README at: https://github.com/devcontainers/templates/tree/main/src/python
{
"name": "Python 3",
// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
// "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm",
"build": {
"dockerfile": "Dockerfile"
},
"features": {
"ghcr.io/devcontainers-contrib/features/black:2": {},
"ghcr.io/devcontainers-contrib/features/mypy:2": {},
"ghcr.io/devcontainers-contrib/features/pylint:2": {},
"ghcr.io/devcontainers/features/docker-in-docker": {}
},
"customizations": {
"vscode": {
"extensions": [
"ms-python.python",
"ms-python.black-formatter",
"ms-python.flake8",
"ms-python.vscode-pylance",
"ms-python.isort",
"charliermarsh.ruff"
]
}
},
"postCreateCommand": "pip3 install --user -r dev-reqs.txt"
// Features to add to the dev container. More info: https://containers.dev/features.
// "features": {},
// Use 'forwardPorts' to make a list of ports inside the container available locally.
// "forwardPorts": [],
// Use 'postCreateCommand' to run commands after the container is created.
// "postCreateCommand": "pip3 install --user -r requirements.txt",
// Configure tool-specific properties.
// "customizations": {},
// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
// "remoteUser": "root"
// For format details, see https://aka.ms/devcontainer.json. For config options, see the
// README at: https://github.com/devcontainers/templates/tree/main/src/python
{
"name": "Python 3",
// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
// "image": "mcr.microsoft.com/devcontainers/python:1-3-bookworm",
"build": {
"dockerfile": "Dockerfile"
},
"features": {
"ghcr.io/devcontainers-contrib/features/black:2": {},
"ghcr.io/devcontainers-contrib/features/mypy:2": {},
"ghcr.io/devcontainers-contrib/features/pylint:2": {},
"ghcr.io/devcontainers/features/docker-in-docker": {}
},
"customizations": {
"vscode": {
"extensions": [
"ms-python.python",
"ms-python.black-formatter",
"ms-python.flake8",
"ms-python.vscode-pylance",
"ms-python.isort",
"charliermarsh.ruff"
]
}
},
"postCreateCommand": "pip3 install --user -r dev-reqs.txt"
// Features to add to the dev container. More info: https://containers.dev/features.
// "features": {},
// Use 'forwardPorts' to make a list of ports inside the container available locally.
// "forwardPorts": [],
// Use 'postCreateCommand' to run commands after the container is created.
// "postCreateCommand": "pip3 install --user -r requirements.txt",
// Configure tool-specific properties.
// "customizations": {},
// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
// "remoteUser": "root"
}

2
.gitignore vendored
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__pycache__
__pycache__
.env

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black:
# stage: .pre
image: registry.gitlab.com/pipeline-components/black:latest
script:
- black --check --verbose -- .
stages:
- lint
- deploy
black:
stage: lint
image: registry.gitlab.com/pipeline-components/black:latest
script:
- black --check --verbose -- .
ruff:
stage: lint
# image: registry.gitlab.com/pipeline-components/ruff:latest
image: python:3.11-slim
script:
- pip3 install ruff
- ruff --output-format gitlab .
include:
- local: /docs/.gitlab-ci.yml

14
.vscode/settings.json vendored
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{
"editor.formatOnSave": true,
"editor.formatOnPaste": true,
"editor.formatOnSaveMode": "modificationsIfAvailable",
"[python]": {
"editor.defaultFormatter": "ms-python.black-formatter",
}
{
"editor.formatOnSave": true,
"editor.formatOnPaste": true,
"editor.formatOnSaveMode": "modificationsIfAvailable",
"[python]": {
"editor.defaultFormatter": "ms-python.black-formatter",
}
}

42
LICENSE
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@ -1,21 +1,21 @@
MIT License
Copyright (c) 2019 Anson Biggs
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
MIT License
Copyright (c) 2019 Anson Biggs
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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# Simple Telegram Stock Bot
[![Platform](https://img.shields.io/badge/platform-Telegram-blue.svg)](https://t.me/SimpleStockBot)
[![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE)
[![Author](https://img.shields.io/badge/Maintainer-Anson-blue)](https://ansonbiggs.com)
## Docs
https://docs.simplestockbot.com/
## Usage
https://docs.simplestockbot.com/commands/
## Donate
Simple Stock Bot is run entirely on donations, and costs about $420 a year to run. All donations go directly towards paying for servers, and premium market data provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo).
The best way to donate is through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) which accepts Paypal or Credit card.
Alternatively, you can donate on Telegram with the `/donate` [command](commands.md#donate-amount-in-usd).
If you have any questions get in [touch.](contact.md)
## Other Ways to Help:
- Follow me on [twitter](https://twitter.com/AnsonBiggs)
- Contribute to the project on [GitLab](https://gitlab.com/simple-stock-bots) or just leave a star
- Using my referral links to host your own Bot
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
- [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo)
# Simple Telegram Stock Bot
[![Platform](https://img.shields.io/badge/platform-Telegram-blue.svg)](https://t.me/SimpleStockBot)
[![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE)
[![Author](https://img.shields.io/badge/Maintainer-Anson-blue)](https://ansonbiggs.com)
## Docs
https://docs.simplestockbot.com/
## Usage
https://docs.simplestockbot.com/commands/
## Donate
Simple Stock Bot is run entirely on donations, and costs about $420 a year to run. All donations go directly towards paying for servers, and premium market data provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo).
The best way to donate is through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) which accepts Paypal or Credit card.
Alternatively, you can donate on Telegram with the `/donate` [command](commands.md#donate-amount-in-usd).
If you have any questions get in [touch.](contact.md)
## Other Ways to Help:
- Follow me on [twitter](https://twitter.com/AnsonBiggs)
- Contribute to the project on [GitLab](https://gitlab.com/simple-stock-bots) or just leave a star
- Using my referral links to host your own Bot
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
- [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo)

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import datetime as dt
import logging
import os
from typing import Dict
import pandas as pd
import pytz
import requests as r
import schedule
from common.Symbol import Stock
log = logging.getLogger(__name__)
class MarketData:
"""
Functions for finding stock market information about symbols from MarkData.app
"""
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
charts: Dict[Stock, pd.DataFrame] = {}
openTime = dt.time(hour=9, minute=30, second=0)
marketTimeZone = pytz.timezone("US/Eastern")
def __init__(self) -> None:
"""Creates a Symbol Object
Parameters
----------
MARKETDATA_TOKEN : str
MarketData.app API Token
"""
try:
self.MARKETDATA_TOKEN = os.environ["MARKETDATA"]
if self.MARKETDATA_TOKEN == "TOKEN":
self.MARKETDATA_TOKEN = ""
except KeyError:
self.MARKETDATA_TOKEN = ""
log.warning("Starting without an MarketData.app Token will not allow you to get market data!")
log.warning("Use this affiliate link so that the bot can stay free:")
log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo")
if self.MARKETDATA_TOKEN != "":
schedule.every().day.do(self.clear_charts)
def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
url = "https://api.marketdata.app/v1/" + endpoint
# set token param if it wasn't passed.
params["token"] = self.MARKETDATA_TOKEN
# Undocumented query variable that ensures bot usage can be
# monitored even if someone doesn't make it through an affiliate link.
params["application"] = "simplestockbot"
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:
logging.error(e)
return {}
# Make sure API returned valid JSON
try:
resp_json = resp.json()
match resp_json["s"]:
case "ok":
return resp_json
case "no_data":
return resp_json
case "error":
logging.error("MarketData Error:\n" + resp_json["errmsg"])
return {}
except r.exceptions.JSONDecodeError as e:
logging.error(e)
return {}
def clear_charts(self) -> None:
"""
Clears cache of chart data.
Charts are cached so that only 1 API call per 24 hours is needed since the
chart data is expensive and a large download.
"""
self.charts = {}
def status(self) -> str:
# TODO: At the moment this API is poorly documented, this function likely needs to be revisited later.
try:
status = r.get(
"https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A",
timeout=5,
)
status.raise_for_status()
except r.HTTPError:
return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
except r.Timeout:
return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage."
statusJSON = status.json()
if statusJSON["status"] == "ok":
return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
)
else:
return f"MarketData.app is currently reporting the following status: {statusJSON['status']}"
def price_reply(self, symbol: Stock) -> str:
"""Returns price movement of Stock for the last market day, or after hours.
Parameters
----------
symbol : Stock
Returns
-------
str
Formatted markdown
"""
if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
price = round(quoteResp["last"][0], 2)
try:
changePercent = round(quoteResp["changepct"][0], 2)
except TypeError:
return f"The price of {symbol} is {price}"
message = f"The current price of {symbol.name} is ${price} and "
if changePercent > 0.0:
message += f"is currently up {changePercent}% for the day."
elif changePercent < 0.0:
message += f"is currently down {changePercent}% for the day."
else:
message += "hasn't shown any movement for the day."
return message
else:
return f"Getting a quote for {symbol} encountered an error."
def spark_reply(self, symbol: Stock) -> str:
if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
try:
changePercent = round(quoteResp["changepct"][0], 2)
return f"`{symbol.tag}`: {changePercent}%"
except TypeError:
pass
return f"`{symbol.tag}`"
def intra_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.
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.
"""
schedule.run_pending()
try:
return self.charts[symbol.id.upper()]
except KeyError:
pass
resolution = "15" # minutes
now = dt.datetime.now(self.marketTimeZone)
if self.openTime < now.time():
startTime = now.replace(hour=9, minute=30)
else:
startTime = now - dt.timedelta(days=1)
if data := self.get(
f"stocks/candles/{resolution}/{symbol}",
params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True},
):
data.pop("s")
df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s", utc=True)
df.set_index("t", inplace=True)
df.rename(
columns={
"o": "Open",
"h": "High",
"l": "Low",
"c": "Close",
"v": "Volume",
},
inplace=True,
)
self.charts[symbol.id.upper()] = df
return df
return 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.
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.
"""
schedule.run_pending()
try:
return self.charts[symbol.id.upper()]
except KeyError:
pass
to_date = dt.datetime.today().strftime("%Y-%m-%d")
from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d")
resultion = "daily"
if data := self.get(
f"stocks/candles/{resultion}/{symbol}",
params={
"from": from_date,
"to": to_date,
},
):
data.pop("s")
df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s")
df.set_index("t", inplace=True)
df.rename(
columns={
"o": "Open",
"h": "High",
"l": "Low",
"c": "Close",
"v": "Volume",
},
inplace=True,
)
self.charts[symbol.id.upper()] = df
return df
return pd.DataFrame()
import datetime as dt
import logging
import os
from typing import Dict
import pandas as pd
import pytz
import requests as r
import schedule
from common.Symbol import Stock
log = logging.getLogger(__name__)
class MarketData:
"""
Functions for finding stock market information about symbols from MarkData.app
"""
SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
charts: Dict[Stock, pd.DataFrame] = {}
openTime = dt.time(hour=9, minute=30, second=0)
marketTimeZone = pytz.timezone("US/Eastern")
def __init__(self) -> None:
"""Creates a Symbol Object
Parameters
----------
MARKETDATA_TOKEN : str
MarketData.app API Token
"""
try:
self.MARKETDATA_TOKEN = os.environ["MARKETDATA"]
if self.MARKETDATA_TOKEN == "TOKEN":
self.MARKETDATA_TOKEN = ""
except KeyError:
self.MARKETDATA_TOKEN = ""
log.warning("Starting without an MarketData.app Token will not allow you to get market data!")
log.warning("Use this affiliate link so that the bot can stay free:")
log.warning("https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo")
if self.MARKETDATA_TOKEN != "":
schedule.every().day.do(self.clear_charts)
def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
url = "https://api.marketdata.app/v1/" + endpoint
# set token param if it wasn't passed.
params["token"] = self.MARKETDATA_TOKEN
# Undocumented query variable that ensures bot usage can be
# monitored even if someone doesn't make it through an affiliate link.
params["application"] = "simplestockbot"
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:
logging.error(e)
return {}
# Make sure API returned valid JSON
try:
resp_json = resp.json()
match resp_json["s"]:
case "ok":
return resp_json
case "no_data":
return resp_json
case "error":
logging.error("MarketData Error:\n" + resp_json["errmsg"])
return {}
except r.exceptions.JSONDecodeError as e:
logging.error(e)
return {}
def clear_charts(self) -> None:
"""
Clears cache of chart data.
Charts are cached so that only 1 API call per 24 hours is needed since the
chart data is expensive and a large download.
"""
self.charts = {}
def status(self) -> str:
# TODO: At the moment this API is poorly documented, this function likely needs to be revisited later.
try:
status = r.get(
"https://stats.uptimerobot.com/api/getMonitorList/6Kv3zIow0A",
timeout=5,
)
status.raise_for_status()
except r.HTTPError:
return f"API returned an HTTP error code {status.status_code} in {status.elapsed.total_seconds()} seconds."
except r.Timeout:
return "API timed out before it was able to give status. This is likely due to a surge in usage or a complete outage."
statusJSON = status.json()
if statusJSON["status"] == "ok":
return (
f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} seconds."
)
else:
return f"MarketData.app is currently reporting the following status: {statusJSON['status']}"
def price_reply(self, symbol: Stock) -> str:
"""Returns price movement of Stock for the last market day, or after hours.
Parameters
----------
symbol : Stock
Returns
-------
str
Formatted markdown
"""
if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
price = round(quoteResp["last"][0], 2)
try:
changePercent = round(quoteResp["changepct"][0], 2)
except TypeError:
return f"The price of {symbol} is {price}"
message = f"The current price of {symbol.name} is ${price} and "
if changePercent > 0.0:
message += f"is currently up {changePercent}% for the day."
elif changePercent < 0.0:
message += f"is currently down {changePercent}% for the day."
else:
message += "hasn't shown any movement for the day."
return message
else:
return f"Getting a quote for {symbol} encountered an error."
def spark_reply(self, symbol: Stock) -> str:
if quoteResp := self.get(f"stocks/quotes/{symbol}/"):
try:
changePercent = round(quoteResp["changepct"][0], 2)
return f"`{symbol.tag}`: {changePercent}%"
except TypeError:
pass
return f"`{symbol.tag}`"
def intra_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.
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.
"""
schedule.run_pending()
try:
return self.charts[symbol.id.upper()]
except KeyError:
pass
resolution = "15" # minutes
now = dt.datetime.now(self.marketTimeZone)
if self.openTime < now.time():
startTime = now.replace(hour=9, minute=30)
else:
startTime = now - dt.timedelta(days=1)
if data := self.get(
f"stocks/candles/{resolution}/{symbol}",
params={"from": startTime.timestamp(), "to": now.timestamp(), "extended": True},
):
data.pop("s")
df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s", utc=True)
df.set_index("t", inplace=True)
df.rename(
columns={
"o": "Open",
"h": "High",
"l": "Low",
"c": "Close",
"v": "Volume",
},
inplace=True,
)
self.charts[symbol.id.upper()] = df
return df
return 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.
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.
"""
schedule.run_pending()
try:
return self.charts[symbol.id.upper()]
except KeyError:
pass
to_date = dt.datetime.today().strftime("%Y-%m-%d")
from_date = (dt.datetime.today() - dt.timedelta(days=30)).strftime("%Y-%m-%d")
resultion = "daily"
if data := self.get(
f"stocks/candles/{resultion}/{symbol}",
params={
"from": from_date,
"to": to_date,
},
):
data.pop("s")
df = pd.DataFrame(data)
df["t"] = pd.to_datetime(df["t"], unit="s")
df.set_index("t", inplace=True)
df.rename(
columns={
"o": "Open",
"h": "High",
"l": "Low",
"c": "Close",
"v": "Volume",
},
inplace=True,
)
self.charts[symbol.id.upper()] = df
return df
return pd.DataFrame()

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@ -1,50 +1,50 @@
import pandas as pd
import logging
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
tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC
"""
currency = "usd"
pass
def __init__(self, symbol) -> None:
self.symbol = symbol
self.id = symbol
self.name = symbol
self.tag = "$" + symbol
def __repr__(self) -> str:
return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>"
def __str__(self) -> str:
return self.id
class Stock(Symbol):
"""Stock Market Object. Gets data from MarketData"""
def __init__(self, symbol: str) -> None:
self.symbol = symbol
self.id = symbol
self.name = "$" + symbol.upper()
self.tag = "$" + symbol.lower()
class Coin(Symbol):
"""Cryptocurrency Object. Gets data from CoinGecko."""
def __init__(self, symbol: pd.DataFrame) -> None:
if len(symbol) > 1:
logging.info(f"Crypto with shared id:\n\t{symbol.id}")
symbol = symbol.head(1)
self.symbol = symbol.symbol.values[0]
self.id = symbol.id.values[0]
self.name = symbol.name.values[0]
self.tag = symbol.type_id.values[0].upper()
import pandas as pd
import logging
class Symbol:
"""
symbol: What the user calls it. ie tsla or btc
id: What the api expects. ie tsla or bitcoin
name: Human readable. ie Tesla or Bitcoin
tag: Uppercase tag to call the symbol. ie $TSLA or $$BTC
"""
currency = "usd"
pass
def __init__(self, symbol) -> None:
self.symbol = symbol
self.id = symbol
self.name = symbol
self.tag = "$" + symbol
def __repr__(self) -> str:
return f"<{self.__class__.__name__} instance of {self.id} at {id(self)}>"
def __str__(self) -> str:
return self.id
class Stock(Symbol):
"""Stock Market Object. Gets data from MarketData"""
def __init__(self, symbol: str) -> None:
self.symbol = symbol
self.id = symbol
self.name = "$" + symbol.upper()
self.tag = "$" + symbol.lower()
class Coin(Symbol):
"""Cryptocurrency Object. Gets data from CoinGecko."""
def __init__(self, symbol: pd.DataFrame) -> None:
if len(symbol) > 1:
logging.info(f"Crypto with shared id:\n\t{symbol.id}")
symbol = symbol.head(1)
self.symbol = symbol.symbol.values[0]
self.id = symbol.id.values[0]
self.name = symbol.name.values[0]
self.tag = symbol.type_id.values[0].upper()

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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 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
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

6
common/requirements.txt Normal file
View File

@ -0,0 +1,6 @@
requests==2.31.0
pandas==2.1.1
schedule==1.2.1
mplfinance==0.12.10b0
markdownify==0.11.6
cachetools==5.3.1

View File

@ -1,395 +1,395 @@
"""Function that routes symbols to the correct API provider.
"""
import datetime
import logging
import random
import re
import pandas as pd
import schedule
from cachetools import TTLCache, cached
from common.cg_Crypto import cg_Crypto
from common.MarketData import MarketData
from common.Symbol import Coin, Stock, Symbol
from typing import Dict
log = logging.getLogger(__name__)
class Router:
STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})"
CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})"
trending_count: Dict[str, float] = {}
def __init__(self):
self.stock = MarketData()
self.crypto = cg_Crypto()
schedule.every().hour.do(self.trending_decay)
def trending_decay(self, decay=0.5):
"""Decays the value of each trending stock by a multiplier"""
t_copy = {}
dead_keys = []
if self.trending_count:
t_copy = self.trending_count.copy()
for key in t_copy.keys():
if t_copy[key] < 0.01:
# This just makes sure were not keeping around keys that havent been called in a very long time.
dead_keys.append(key)
else:
t_copy[key] = t_copy[key] * decay
for dead in dead_keys:
t_copy.pop(dead)
self.trending_count = t_copy.copy()
log.info("Decayed trending symbols.")
def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Symbol]:
"""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.
Parameters
----------
text : str
Blob of text.
Returns
-------
list[Symbol]
List of stock symbols as Symbol objects
"""
schedule.run_pending()
symbols: list[Symbol] = []
stocks = set(re.findall(self.STOCK_REGEX, text))
for stock in stocks:
# Market data lacks tools to check if a symbol is valid.
symbols.append(Stock(stock))
coins = set(re.findall(self.CRYPTO_REGEX, text))
for coin in coins:
sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)]
if sym.empty:
log.info(f"{coin} is not in list of coins")
else:
symbols.append(Coin(sym))
if symbols:
for symbol in symbols:
self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight
log.debug(self.trending_count)
return symbols
def status(self, bot_resp) -> str:
"""Checks for any issues with APIs.
Returns
-------
str
Human readable text on status of the bot and relevant APIs
"""
stats = f"""
Bot Status:
{bot_resp}
Stock Market Data:
{self.stock.status()}
Cryptocurrency Data:
{self.crypto.status()}
"""
log.warning(stats)
return stats
def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame:
"""Searches based on the shortest symbol that contains the same string as the search.
Should be very fast compared to a fuzzy search.
Parameters
----------
search : str
String used to match against symbols.
Returns
-------
list[tuple[str, str]]
Each tuple contains: (Symbol, Issue Name).
"""
# df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list])
df = self.crypto.symbol_list
df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values(
by="type_id", key=lambda x: x.str.len()
)
symbols = df.head(matches)
symbols["price_reply"] = symbols["type_id"].apply(
lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0]
)
return symbols
def price_reply(self, symbols: list[Symbol]) -> list[str]:
"""Returns current market price or after hours if its available for a given stock symbol.
Parameters
----------
symbols : list
List of stock 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.
"""
replies = []
for symbol in symbols:
log.info(symbol)
if isinstance(symbol, Stock):
replies.append(self.stock.price_reply(symbol))
elif isinstance(symbol, Coin):
replies.append(self.crypto.price_reply(symbol))
else:
log.info(f"{symbol} is not a Stock or Coin")
return replies
def info_reply(self, symbols: list) -> list[str]:
"""Gets information on stock symbols.
Parameters
----------
symbols : list[str]
List of stock symbols.
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable formatted
string of the symbols information.
"""
replies = []
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:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
def intra_reply(self, symbol: Symbol) -> 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 isinstance(symbol, Stock):
return self.stock.intra_reply(symbol)
elif isinstance(symbol, Coin):
return self.crypto.intra_reply(symbol)
else:
log.debug(f"{symbol} is not a Stock or Coin")
return pd.DataFrame()
def chart_reply(self, symbol: Symbol) -> 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 isinstance(symbol, Stock):
return self.stock.chart_reply(symbol)
elif isinstance(symbol, Coin):
return self.crypto.chart_reply(symbol)
else:
log.debug(f"{symbol} is not a Stock or Coin")
return pd.DataFrame()
def stat_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets key statistics for each symbol in the list
Parameters
----------
symbols : list[str]
List of stock symbols
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable
formatted string of the symbols statistics.
"""
replies = []
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:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
def cap_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets market cap for each symbol in the list
Parameters
----------
symbols : list[str]
List of stock symbols
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable
formatted string of the symbols market cap.
"""
replies = []
for symbol in symbols:
if isinstance(symbol, Stock):
replies.append(self.stock.cap_reply(symbol))
elif isinstance(symbol, Coin):
replies.append(self.crypto.cap_reply(symbol))
else:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
def spark_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets change for each symbol and returns it in a compact format
Parameters
----------
symbols : list[str]
List of stock symbols
Returns
-------
list[str]
List of human readable strings.
"""
replies = []
for symbol in symbols:
if isinstance(symbol, Stock):
replies.append(self.stock.spark_reply(symbol))
elif isinstance(symbol, Coin):
replies.append(self.crypto.spark_reply(symbol))
else:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
@cached(cache=TTLCache(maxsize=1024, ttl=600))
def trending(self) -> str:
"""Checks APIs for trending symbols.
Returns
-------
list[str]
List of preformatted strings to be sent to user.
"""
# stocks = self.stock.trending()
coins = self.crypto.trending()
reply = ""
log.warning(self.trending_count)
if self.trending_count:
reply += "🔥Trending on the Stock Bot:\n`"
reply += "" * len("Trending on the Stock Bot:") + "`\n"
sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5]
log.warning(sorted_trending)
for t in sorted_trending:
reply += self.spark_reply(self.find_symbols(t))[0] + "\n"
if coins:
reply += "\n\n🦎Trending on CoinGecko:\n`"
reply += "" * len("Trending on CoinGecko:") + "`\n"
for coin in coins:
reply += coin + "\n"
if "`$GME" in reply:
reply = reply.replace("🔥", "🦍")
if reply:
return reply
else:
log.warning("Failed to collect trending data.")
return "Trending data is not currently available."
def random_pick(self) -> str:
# choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"]))
choice = random.choice(list(self.crypto.symbol_list["description"]))
hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y")
return f"{choice}\nBuy and hold until: {hold}"
def batch_price_reply(self, symbols: list[Symbol]) -> list[str]:
"""Returns current market price or after hours if its available for a given stock symbol.
Parameters
----------
symbols : list
List of stock 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.
"""
replies = []
stocks = []
coins = []
for symbol in symbols:
if isinstance(symbol, Stock):
stocks.append(symbol)
elif isinstance(symbol, Coin):
coins.append(symbol)
else:
log.debug(f"{symbol} is not a Stock or Coin")
if stocks:
for stock in stocks:
replies.append(self.stock.price_reply(stock))
if coins:
replies = replies + self.crypto.batch_price(coins)
return replies
"""Function that routes symbols to the correct API provider.
"""
import datetime
import logging
import random
import re
import pandas as pd
import schedule
from cachetools import TTLCache, cached
from common.cg_Crypto import cg_Crypto
from common.MarketData import MarketData
from common.Symbol import Coin, Stock, Symbol
from typing import Dict
log = logging.getLogger(__name__)
class Router:
STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z.]{1,6})"
CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})"
trending_count: Dict[str, float] = {}
def __init__(self):
self.stock = MarketData()
self.crypto = cg_Crypto()
schedule.every().hour.do(self.trending_decay)
def trending_decay(self, decay=0.5):
"""Decays the value of each trending stock by a multiplier"""
t_copy = {}
dead_keys = []
if self.trending_count:
t_copy = self.trending_count.copy()
for key in t_copy.keys():
if t_copy[key] < 0.01:
# This just makes sure were not keeping around keys that havent been called in a very long time.
dead_keys.append(key)
else:
t_copy[key] = t_copy[key] * decay
for dead in dead_keys:
t_copy.pop(dead)
self.trending_count = t_copy.copy()
log.info("Decayed trending symbols.")
def find_symbols(self, text: str, *, trending_weight: int = 1) -> list[Stock | Symbol]:
"""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.
Parameters
----------
text : str
Blob of text.
Returns
-------
list[Symbol]
List of stock symbols as Symbol objects
"""
schedule.run_pending()
symbols: list[Symbol] = []
stocks = set(re.findall(self.STOCK_REGEX, text))
for stock in stocks:
# Market data lacks tools to check if a symbol is valid.
symbols.append(Stock(stock))
coins = set(re.findall(self.CRYPTO_REGEX, text))
for coin in coins:
sym = self.crypto.symbol_list[self.crypto.symbol_list["symbol"].str.fullmatch(coin.lower(), case=False)]
if sym.empty:
log.info(f"{coin} is not in list of coins")
else:
symbols.append(Coin(sym))
if symbols:
for symbol in symbols:
self.trending_count[symbol.tag] = self.trending_count.get(symbol.tag, 0) + trending_weight
log.debug(self.trending_count)
return symbols
def status(self, bot_resp) -> str:
"""Checks for any issues with APIs.
Returns
-------
str
Human readable text on status of the bot and relevant APIs
"""
stats = f"""
Bot Status:
{bot_resp}
Stock Market Data:
{self.stock.status()}
Cryptocurrency Data:
{self.crypto.status()}
"""
log.warning(stats)
return stats
def inline_search(self, search: str, matches: int = 5) -> pd.DataFrame:
"""Searches based on the shortest symbol that contains the same string as the search.
Should be very fast compared to a fuzzy search.
Parameters
----------
search : str
String used to match against symbols.
Returns
-------
list[tuple[str, str]]
Each tuple contains: (Symbol, Issue Name).
"""
# df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list])
df = self.crypto.symbol_list
df = df[df["description"].str.contains(search, regex=False, case=False)].sort_values(
by="type_id", key=lambda x: x.str.len()
)
symbols = df.head(matches)
symbols["price_reply"] = symbols["type_id"].apply(
lambda sym: self.price_reply(self.find_symbols(sym, trending_weight=0))[0]
)
return symbols
def price_reply(self, symbols: list[Symbol]) -> list[str]:
"""Returns current market price or after hours if its available for a given stock symbol.
Parameters
----------
symbols : list
List of stock 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.
"""
replies = []
for symbol in symbols:
log.info(symbol)
if isinstance(symbol, Stock):
replies.append(self.stock.price_reply(symbol))
elif isinstance(symbol, Coin):
replies.append(self.crypto.price_reply(symbol))
else:
log.info(f"{symbol} is not a Stock or Coin")
return replies
def info_reply(self, symbols: list) -> list[str]:
"""Gets information on stock symbols.
Parameters
----------
symbols : list[str]
List of stock symbols.
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable formatted
string of the symbols information.
"""
replies = []
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:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
def intra_reply(self, symbol: Symbol) -> 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 isinstance(symbol, Stock):
return self.stock.intra_reply(symbol)
elif isinstance(symbol, Coin):
return self.crypto.intra_reply(symbol)
else:
log.debug(f"{symbol} is not a Stock or Coin")
return pd.DataFrame()
def chart_reply(self, symbol: Symbol) -> 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 isinstance(symbol, Stock):
return self.stock.chart_reply(symbol)
elif isinstance(symbol, Coin):
return self.crypto.chart_reply(symbol)
else:
log.debug(f"{symbol} is not a Stock or Coin")
return pd.DataFrame()
def stat_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets key statistics for each symbol in the list
Parameters
----------
symbols : list[str]
List of stock symbols
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable
formatted string of the symbols statistics.
"""
replies = []
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:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
def cap_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets market cap for each symbol in the list
Parameters
----------
symbols : list[str]
List of stock symbols
Returns
-------
Dict[str, str]
Each symbol passed in is a key with its value being a human readable
formatted string of the symbols market cap.
"""
replies = []
for symbol in symbols:
if isinstance(symbol, Stock):
replies.append(self.stock.cap_reply(symbol))
elif isinstance(symbol, Coin):
replies.append(self.crypto.cap_reply(symbol))
else:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
def spark_reply(self, symbols: list[Symbol]) -> list[str]:
"""Gets change for each symbol and returns it in a compact format
Parameters
----------
symbols : list[str]
List of stock symbols
Returns
-------
list[str]
List of human readable strings.
"""
replies = []
for symbol in symbols:
if isinstance(symbol, Stock):
replies.append(self.stock.spark_reply(symbol))
elif isinstance(symbol, Coin):
replies.append(self.crypto.spark_reply(symbol))
else:
log.debug(f"{symbol} is not a Stock or Coin")
return replies
@cached(cache=TTLCache(maxsize=1024, ttl=600))
def trending(self) -> str:
"""Checks APIs for trending symbols.
Returns
-------
list[str]
List of preformatted strings to be sent to user.
"""
# stocks = self.stock.trending()
coins = self.crypto.trending()
reply = ""
log.warning(self.trending_count)
if self.trending_count:
reply += "🔥Trending on the Stock Bot:\n`"
reply += "" * len("Trending on the Stock Bot:") + "`\n"
sorted_trending = [s[0] for s in sorted(self.trending_count.items(), key=lambda item: item[1])][::-1][0:5]
log.warning(sorted_trending)
for t in sorted_trending:
reply += self.spark_reply(self.find_symbols(t))[0] + "\n"
if coins:
reply += "\n\n🦎Trending on CoinGecko:\n`"
reply += "" * len("Trending on CoinGecko:") + "`\n"
for coin in coins:
reply += coin + "\n"
if "`$GME" in reply:
reply = reply.replace("🔥", "🦍")
if reply:
return reply
else:
log.warning("Failed to collect trending data.")
return "Trending data is not currently available."
def random_pick(self) -> str:
# choice = random.choice(list(self.stock.symbol_list["description"]) + list(self.crypto.symbol_list["description"]))
choice = random.choice(list(self.crypto.symbol_list["description"]))
hold = (datetime.date.today() + datetime.timedelta(random.randint(1, 365))).strftime("%b %d, %Y")
return f"{choice}\nBuy and hold until: {hold}"
def batch_price_reply(self, symbols: list[Symbol]) -> list[str]:
"""Returns current market price or after hours if its available for a given stock symbol.
Parameters
----------
symbols : list
List of stock 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.
"""
replies = []
stocks = []
coins = []
for symbol in symbols:
if isinstance(symbol, Stock):
stocks.append(symbol)
elif isinstance(symbol, Coin):
coins.append(symbol)
else:
log.debug(f"{symbol} is not a Stock or Coin")
if stocks:
for stock in stocks:
replies.append(self.stock.price_reply(stock))
if coins:
replies = replies + self.crypto.batch_price(coins)
return replies

View File

@ -1,9 +1,10 @@
-r telegram/requirements.txt
black==23.7.0
flake8==6.1.0
Flake8-pyproject==1.2.3
pylama==8.4.1
mypy==1.5.1
types-cachetools==5.3.0.6
types-pytz==2023.3.0.1
ruff==0.0.287
-r common/requirements.txt
-r docs/requirements.txt
black==23.7.0
flake8==6.1.0
Flake8-pyproject==1.2.3
pylama==8.4.1
mypy==1.5.1
types-cachetools==5.3.0.6
types-pytz==2023.3.0.1
ruff==0.0.292

View File

@ -1,65 +1,59 @@
"""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. 📊
"""
"""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. If you like it, [support me with a beer](https://www.buymeacoffee.com/Anson). 🍻
For stock data or hosting your own bot, use my link. This helps keep the bot free:
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
**Updates**: Join the bot's discord: https://t.me/simplestockbotnews.
**Documentation**: All details about the bot are at [docs](https://docs.simplestockbot.com).
The bot reads _"Symbols"_. Use `$` for stock tickers and `$$` for cryptocurrencies. For example:
- `/chart $$eth` gives Ethereum's monthly chart.
- `/dividend $psec` shows Prospect Capital's dividend.
Type any symbol, and the bot shows its price. Like: `Is $$btc rising since $tsla accepts it?` will give Bitcoin and Tesla prices.
**Commands**
- `/donate [USD amount]`: Support the bot. 🎗
- `/intra $[symbol]`: See stock's latest movement. 📈
- `/chart $[symbol]`: View a month's stock activity. 📊
- `/trending`: Check trending stocks and cryptos. 💬
- `/help`: Need help? Ask here. 🆘
**Inline Features**
Type @SimpleStockBot `[search]` anywhere to find and get stock/crypto prices. Note: Prices might be delayed up to an hour.
Data from: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
Issues with the bot? Use `/status` or [contact us](https://docs.simplestockbot.com/contact).
"""
donate_text = """
Simple Stock Bot runs purely on [donations.](https://www.buymeacoffee.com/Anson)
Every donation supports server costs and
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord) provides our data.
**How to Donate?**
1. Use `/donate [amount in USD]` command.
- E.g., `/donate 2` donates 2 USD.
2. Or, donate at [buymeacoffee](https://www.buymeacoffee.com/Anson).
- It's quick, doesn't need an account, and accepts Paypal or Credit card.
Questions? Visit our [website](https://docs.simplestockbot.com).
"""

View File

@ -1,18 +1,19 @@
FROM python:3.11-buster AS builder
COPY discord/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 discord .
FROM python:3.11-buster AS builder
COPY discord/discord-reqs.txt .
COPY common/requirements.txt .
RUN pip install --user -r discord-reqs.txt
FROM python:3.11-slim
ENV MPLBACKEND=Agg
COPY --from=builder /root/.local /root/.local
COPY common common
COPY discord .
CMD [ "python", "./bot.py" ]

View File

@ -1,202 +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*10:.4f} seconds") + "\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)
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*10:.4f} seconds") + "\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)

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nextcord==2.4.2
-r requirements.txt

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@ -1,7 +0,0 @@
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

View File

@ -1,13 +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
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

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@ -0,0 +1 @@
.cache

12
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image: python:3.11
pages:
stage: deploy
script:
- cd ./docs
- pip install -r requirements.txt
- mkdocs build --site-dir ../public --verbose
artifacts:
paths:
- public
# rules:
# - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH'

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@ -0,0 +1,12 @@
{
"yaml.schemas": {
"https://squidfunk.github.io/mkdocs-material/schema.json": "mkdocs.yml"
},
"yaml.customTags": [
"!ENV scalar",
"!ENV sequence",
"tag:yaml.org,2002:python/name:materialx.emoji.to_svg",
"tag:yaml.org,2002:python/name:materialx.emoji.twemoji",
"tag:yaml.org,2002:python/name:pymdownx.superfences.fence_code_format"
]
}

21
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MIT License
Copyright (c) 2019 Anson Biggs
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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# Simple Stock Bots
[![Platform](https://img.shields.io/badge/platform-Telegram-blue.svg)](https://t.me/SimpleStockBot)
[![Platform](https://img.shields.io/badge/platform-Discord-blue.svg)](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot)
[![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
## Table of Contents
+ [About](#about)
+ [Getting Started](#getting_started)
+ [Usage](#usage)
+ [Contributing](../CONTRIBUTING.md)
## About <a name = "about"></a>
Simple Stock Bots is a family of messaging bots that aim to provide simple bots that provide information on the stock market. Currently there are only [Telegram](./telegram) and [Discord](./discord) Bots.
## Getting Started <a name = "getting_started"></a>
The simplest way to use these bots is to use the version that I host on Digital Ocean. You can find the links to access them below:
+ [Telegram](https://t.me/SimpleStockBot)
+ [Discord](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot)
Alternatively, this project is completely open source and instructions on how to run your own instance of the bot are provided on each of the bots pages.
## Source Code
The source code for the bots is completely open and hosted on Gitlab.
+ [Telegram](https://gitlab.com/simple-stock-bots/simple-telegram-bot)
+ [Discord](https://gitlab.com/simple-stock-bots/simple-discord-stock-bot)

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```
MIT License
Copyright (c) 2019 Anson Biggs
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```

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Symbols are used in headings to denote what platforms and symbol types a command supports.
- Telegram Only :fontawesome-brands-telegram-plane:
- Discord Only :fontawesome-brands-discord:
- Bot Commands :robot:
- Cryptocurrency Support :material-currency-btc:
- Stock Market Support :bank:
- OTC Support :dollar:
## Symbol Detection :material-currency-btc: :bank: :dollar:
The Simple Stock Bot looks at every message it can see and tries to detect stock and cryptocurrency symbols. Stock market tickers are denoted with a single `$` and cryptocurrency coins are denoted with a double `$$`. So getting the price of Tesla is as simple as `$tsla` and Bitcoin `$$btc`. These symbols can be in any part of a message and there can be multiple of them aswell.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
I wonder how $tsla is affecting the price of $$btc
</div>
<div class="message from">
The current stock price of Tesla Inc is $866.57, the stock is currently up 1.68%
</div>
<div class="message from">
The current price of Bitcoin is $34,815, the coin is currently down -0.151% for today
</div>
</div>
</div>
## `/donate [Amount in USD]` :fontawesome-brands-telegram-plane:
The donate command is used to send money to the bot to help keep it free. The premium stock market data and server rentals add up so any amount helps. See the [Donate](donate.md) page for more information.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/donate
</div>
<div class="message from">
The current stock price of Tesla Inc is $664.315, the stock is
currently down -0.99%
</div>
</div>
</div>
## `/intra [symbol]` :bank: :material-currency-btc:
This command makes a chart of a stocks movement since the last market open, or the last 24 hours for cryptocurrency.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/intra $astr
</div>
<div class="message from">
<img src="/img/TgIntraChat.jpg" alt="Tesla Motors Chart" />
<p>Intraday chart for $ASTR from 06 Jul at 09:30 to 06 Jul at 15:59</p>
<p>The current stock price of Astra Space Inc - Class A is $12.47, the stock is currently down -19.39%</p>
</div>
</div>
</div>
## `/chart [symbol]` :bank: :material-currency-btc:
This command makes a chart of the last 1 month of trading data up until the day before. For example running it on May 5th creates a chart from April 5th to May 4th.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/intra $astr
</div>
<div class="message from">
<img src="/img/TgChartChat.jpg" alt="Tesla Motors Chart" />
<p>1 Month chart for Ethereum from 07, Jun 2021 to 07, Jul 2021</p>
<p>The current price of Ethereum is $2,389.62, the coin is currently up 2.485% for today</p>
</div>
</div>
</div>
## `/trending`
Gets the latest trending stocks and their change in price
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/trending
</div>
<pre class="message from">
🦍Trending on the Stock Bot:
━━━━━━━━━━━━━━━━━━━━━━━━━━
$GME: Gamestop Corporation - Class A, 5.06%
$MMAT: Meta Materials Inc, 4.77%
$$BTC: Bitcoin, -0.83%
$$ETH: Ethereum, 6.06%
$$DOGE: Binance-Peg Dogecoin, 0.14%
💵Trending Stocks:
━━━━━━━━━━━━━━━━
$BBIG: Vinco Ventures Inc, 15.44%
$GSAT: Globalstar Inc., -15.32%
$AMC: AMC Entertainment Holdings Inc - Class A, 8.77%
$ACIU: AC Immune SA, 16.31%
$PLTR: Palantir Technologies Inc - Class A, 2.25%
$AAPL: Apple Inc, -0.84%
$XELA: Exela Technologies Inc, 12.61%
$WFC: Wells Fargo & Co., -5.60%
$BAC: Bank Of America Corp., 0.22%
$AMD: Advanced Micro Devices Inc., -0.54%
🦎Trending Crypto:
━━━━━━━━━━━━━━━━
$$NFD: Feisty Doge NFT, -34.32%
$$SLP: Smooth Love Potion, -13.02%
$$PVU: Plant vs Undead Token, -1.27%
$$XED: Exeedme, 1.02%
$$SOL: Solana, -3.95%
$$BNB: Binance Coin, -0.25%
$$EWT: Energy Web Token, 17.72%
</pre>
</div>
</div>
## /help :robot:
Just a simple command to get help in app. Returns a more summarized version of this page.
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/help
</div>
<div class="message from">
The current stock price of Tesla Inc is $664.315, the stock is
currently down -0.99%
</div>
</div>
</div>
## `/status` :robot:
This command is to get diagnostic information about the bot and the services it is dependant on in order to operate. Any issues should be reported to me. [Contact](contact.md)
<div class="phone">
<div class="messages-wrapper">
<div class="message to">
/status
</div>
<pre class="message from">
Bot Status:
It took 0.783369 seconds for the bot to get your message.
Stock Market Data:
marketdata.app is currently not reporting any issues with its API.
Cryptocurrency Data:
CoinGecko API responded that it was OK in 0.160962 Seconds.
</pre>
</div>
</div>
## Inline Features :fontawesome-brands-telegram: :material-currency-btc: :bank: :dollar:
You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots
full list of stock symbols and return the price of the ticker. Then once you select the ticker
want the bot will send a message as you in that chat with the latest stock price.
The bot also looks at every message in any chat it is in for stock symbols.Symbols start with a
`$` followed by the stock symbol. For example:$tsla would return price information for Tesla Motors.

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Feel free to reach out with bugs or suggestions at any of the following places:
- Message me on [Telegram](https://t.me/MisterBiggs)
- Message me on Discord `MisterBiggs#0465`
- Tweet me on [Twitter](https://twitter.com/AnsonBiggs)
- Open an issue on gitlab: [`Telegram Bot`](https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot) [`Discord Bot`](https://gitlab.com/simple-stock-bots/simple-discord-stock-bot)

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Simple Stock Bot is run entirely on donations, and costs about $420 a year to run. All donations go directly towards paying for servers, and premium market data provided by [matketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo).
The best way to donate is through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) which accepts Paypal or Credit card.
Alternatively, you can donate on Telegram with the `/donate` [command](commands.md#donate-amount-in-usd).
If you have any questions get in [touch.](contact.md)
## Other Ways to Help:
- Follow me on [twitter](https://twitter.com/AnsonBiggs)
- Contribute to the project on [GitLab](https://gitlab.com/simple-stock-bots) or just leave a star
- Using my referral links to host your own Bot
- [matketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo)
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)

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# Self Hosted Bot
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
## Prerequisites
This project runs neatly in a docker container, so all that you need to run it yourself is [Docker](https://hub.docker.com/?overlay=onboarding) installed on your system.
Depending on what platform you'll need:
- Telegram API key which can be obtained for free by talking to [BotFather](https://telegram.me/botfather), more details [here.](https://core.telegram.org/bots#3-how-do-i-create-a-bot)
- Discord API key which can be obtained for free at [https://discord.com/developers](https://discord.com/developers)
Finally, you will need a [matketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo) API key. They offer a free tier that should be enough for any private groups, more details [here.](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo)
!!! tip
The bot will function without a [matketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo) key and will fall back to only using cryptocurrency data.
!!! note
If you want to accept donations you also need a Stripe API key and provide a `STRIPE` key to your bot. [https://stripe.com/]
## Installing
Once Docker is installed and you have your API keys for Telegram and [matketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo) getting the bot running on any platform is extremely easy.
Download or clone the repository to your machine and open a terminal in the project and build the Docker container.
```
docker build -t simple-telegram-bot .
```
Then run the bot using your API keys.
```
docker run --detach \
-e TELEGRAM=TELEGRAM_API_KEY \
-e MARKETDATA=MARKETDATA_API_KEY \
simple-telegram-bot
```
Your bot should be running! If you are new to Docker, I would recommend checking out its documentation for full control over your bot.

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# Simple Stock Bots
Simple Stock Bots is a family of messaging bots that aim to provide simple interface to stock market information.
## Getting Started
The bots can either be added to a server or can be direct messaged for the exact same functionality. Links for each platform are below:
[Telegram Bot :fontawesome-brands-telegram:](https://t.me/SimpleStockBot){ .md-button .md-button--primary }
[Discord Bot :fontawesome-brands-discord:](https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot){ .md-button .md-button--primary }
Alternatively, this project is completely open source and instructions on how to run your own instance of the bot are provided on each of the bots pages. [Hosting](host.md)
## Usage
The bots are nearly identical between platforms, but sometimes a platform will have a feature that only it supports such as Telegrams inline messaging or Discords embeds. For full information see [Commands](commands.md)
## Source Code
The source code for the bots is completely open and hosted on GitLab. The project is licensed with an MIT License which is incredibly permissive. [The full text of the license can be read here](./LICENSE)
- [Telegram Bot Source](https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot)
- [Discord Bot Source](https://gitlab.com/simple-stock-bots/simple-discord-stock-bot)
If you decide to host your own bots using my source code please consider using my referral links for marketdata.app and DigitalOcean. We both get a kickback when you use them.
- [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
- [matketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo)

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/* https://codepen.io/RG/pen/bdfDI */
.phone {
background: none repeat scroll 0 0 #fff;
/*border-left: 1px solid #ccc;
border-right: 1px solid #ccc;*/
color: #ffffff;
font-family: sans-serif;
line-height: 20px;
width: 80%;
margin: 0 auto;
overflow-x: hidden;
position: relative;
border-radius: 10px;
margin: 50px;
}
.messages-wrapper {
position: relative;
}
.message {
margin: 10px;
padding: 15px 20px;
position: relative;
overflow-x: auto;
}
.message.to {
border-radius: 20px 0px 20px 20px;
background-color: #2095fe;
color: #fff;
margin-left: 20%;
}
.message.from {
border-radius: 20px 20px 20px 0px;
background-color: #e5e4e9;
color: #363636;
margin-right: 20%;
}
.message.to + .message.to,
.message.from + .message.from {
margin-top: -7px;
}

74
docs/mkdocs.yml Normal file
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@ -0,0 +1,74 @@
site_name: Simple Stock Bot Docs
site_url: https://docs.simplestockbot.com
edit_uri: /simple-stock-bots/site/tree/master/docs
repo_url: https://gitlab.com/simple-stock-bots
repo_name: Simple Stock Bots
site_description: Simple Discord and Telegram chat bots for Stock Market Data.
site_author: Anson Biggs
copyright: <a href="https://ansonbiggs.com">Anson Biggs</a> 2018 </br> Available Under an <a href="/LICENSE/">MIT LICENSE</a> </br>
nav:
- Home: index.md
- Commands: commands.md
- Hosting: host.md
- Donate: donate.md
- Contact: contact.md
theme:
name: material
language: en
features:
- navigation.instant
- navigation.tracking
- navigation.tabs
- navigation.tabs.sticky
- navigation.footer
icon:
logo: material/robot-love
palette:
- media: "(prefers-color-scheme: light)"
primary: green
scheme: default
toggle:
icon: material/lightbulb-outline
name: Switch to dark mode
- media: "(prefers-color-scheme: dark)"
primary: green
scheme: slate
toggle:
icon: material/lightbulb
name: Switch to light mode
extra:
social:
- icon: fontawesome/solid/house
link: https://simplestockbot.com/
- icon: fontawesome/brands/telegram
link: https://t.me/SimpleStockBot
name: Get the Telegram bot
- icon: fontawesome/brands/discord
link: https://discordapp.com/api/oauth2/authorize?client_id=532045200823025666&permissions=36507338752&scope=bot
name: Get the Discord Bot
- icon: material/chart-line-stacked
link: https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo
name: MarketData.app for stock data
extra_css:
- stylesheets/phone.css
plugins:
- search
- social
markdown_extensions:
- attr_list
- pymdownx.emoji:
emoji_index: !!python/name:materialx.emoji.twemoji
emoji_generator: !!python/name:materialx.emoji.to_svg

5
docs/requirements.txt Normal file
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@ -0,0 +1,5 @@
mkdocs-material==9.4.4
# Required for Social Cards
Pillow==10.0.1
CairoSVG==2.7.1

View File

@ -1,11 +1,11 @@
[tool.black]
line-length = 130
[tool.flake8]
max-line-length = 130
[tool.pycodestyle]
max_line_length = 130
[tool.ruff]
[tool.black]
line-length = 130
[tool.flake8]
max-line-length = 130
[tool.pycodestyle]
max_line_length = 130
[tool.ruff]
line-length = 130

View File

@ -1,21 +1,22 @@
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 .
FROM python:3.11-buster AS builder
COPY telegram/telegram-reqs.txt .
COPY common/requirements.txt .
RUN pip install --user -r telegram-reqs.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

@ -1,65 +1,70 @@
"""Functions and Info specific to the Telegram Bot
"""
import re
import requests as r
class T_info:
license = re.sub(
r"\b\n",
" ",
r.get("https://gitlab.com/simple-stock-bots/simple-telegram-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=telegram)
Keep up with the latest news for the bot in its Telegram 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=telegram)
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=telegram).
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. 📊
"""
"""Functions and Info specific to the Telegram Bot
"""
import re
import requests as r
class T_info:
license = re.sub(
r"\b\n",
" ",
r.get("https://gitlab.com/simple-stock-bots/simple-telegram-stock-bot/-/raw/master/LICENSE").text,
)
help_text = """
Appreciate this bot? Show support by [buying me a beer](https://www.buymeacoffee.com/Anson) 🍻.
Want stock data or to host your own bot? Help keep this bot free by using my
[affiliate link](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
📢 Stay updated on the bot's Telegram: https://t.me/simplestockbotnews.
**Guide**: All about using and setting up the bot is in the [docs](https://docs.simplestockbot.com).
The bot recognizes _"Symbols"_. `$` for stocks and `$$` for cryptos. Example:
- `/chart $$eth` gets a month's Ethereum chart.
- `/dividend $psec` shows Prospect Capital's dividend info.
Mention a symbol, and the bot reveals its price.
E.g., `What's $$btc's price since $tsla accepts it?` gives Bitcoin and Tesla prices.
**Commands**
- `/donate [USD]`: Support the bot. 🎗
- `/intra $[symbol]`: Today's stock activity. 📈
- `/chart $[symbol]`: Past month's stock chart. 📊
- `/trending`: What's hot in stocks and cryptos. 💬
- `/help`: Bot assistance. 🆘
**Inline Features**
Search with @SimpleStockBot `[query]` anywhere.
Pick a ticker, and the bot shares the current price in chat. Note: Prices can lag by an hour.
Data thanks to [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
Bot issues? Use `/status` or [contact us](https://docs.simplestockbot.com/contact).
"""
donate_text = """
Support Simple Stock Bot through [donations](https://www.buymeacoffee.com/Anson).
All funds help maintain servers, with data from
[marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=telegram).
**How to Donate?**
1. Use `/donate [amount in USD]`. E.g., `/donate 2` donates 2 USD.
2. Or, quickly donate at [buymeacoffee](https://www.buymeacoffee.com/Anson). No account needed, accepts Paypal & Credit card.
For questions, visit our [website](https://docs.simplestockbot.com).
"""
# Not used by the bot but for updating commands with BotFather
commands = """
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. 📊
"""

View File

@ -1,457 +1,457 @@
# Works with Python 3.8
import datetime
import html
import io
import json
import logging
import os
import random
import string
import traceback
from uuid import uuid4
import mplfinance as mpf
import telegram
from telegram import (
InlineQueryResultArticle,
InputTextMessageContent,
LabeledPrice,
Update,
)
from telegram.ext import (
Application,
CommandHandler,
InlineQueryHandler,
PreCheckoutQueryHandler,
MessageHandler,
filters,
ContextTypes,
)
from common.symbol_router import Router
from T_info import T_info
# Enable logging
logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO)
# set higher logging level for httpx to avoid all GET and POST requests being logged
logging.getLogger("httpx").setLevel(logging.WARNING)
log = logging.getLogger(__name__)
TELEGRAM_TOKEN = os.environ["TELEGRAM"]
try:
STRIPE_TOKEN = os.environ["STRIPE"]
except KeyError:
STRIPE_TOKEN = ""
log.warning("Starting without a STRIPE Token will not allow you to accept Donations!")
s = Router()
t = T_info()
log.info("Bot script started.")
async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Send help text when the command /start is issued."""
log.info(f"Start command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.help_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def help(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Send help text when the command /help is issued."""
log.info(f"Help command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.help_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def license(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Send bots license when the /license command is issued."""
log.info(f"License command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.license,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def status(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Gather status of bot and dependant services and return important status updates."""
log.warning(f"Status command ran by {update.message.chat.username}")
bot_resp_time = datetime.datetime.now(update.message.date.tzinfo) - update.message.date
bot_status = s.status(f"It took {bot_resp_time.total_seconds()} seconds for the bot to get your message.")
await update.message.reply_text(
text=bot_status,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
)
async def donate(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Sets up donation."""
log.info(f"Donate command ran by {update.message.chat.username}")
chat_id = update.message.chat_id
if update.message.text.strip() == "/donate" or "/donate@" in update.message.text:
await update.message.reply_text(
text=t.donate_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
amount = 1.0
else:
amount = float(update.message.text.replace("/donate", "").replace("$", "").strip())
try:
price = int(amount * 100)
except ValueError:
await update.message.reply_text(f"{amount} is not a valid donation amount or number.")
return
log.info(f"Donation amount: {price} by {update.message.chat.username}")
await context.bot.send_invoice(
chat_id=chat_id,
title="Simple Stock Bot Donation",
description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}",
payload=f"simple-stock-bot-{chat_id}",
provider_token=STRIPE_TOKEN,
currency="USD",
prices=[LabeledPrice("Donation:", price)],
start_parameter="",
# suggested_tip_amounts=[100, 500, 1000, 2000],
photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png",
photo_width=500,
photo_height=500,
)
async def precheckout_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Approves donation"""
log.info("precheckout_callback queried")
query = update.pre_checkout_query
await query.answer(ok=True)
# I dont think I need to check since its only donations.
# if query.invoice_payload == "simple-stock-bot":
# # answer False pre_checkout_query
# await query.answer(ok=True)
# else:
# await query.answer(ok=False, error_message="Something went wrong...")
async def successful_payment_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Thanks user for donation"""
log.info("Successful payment!")
await update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!")
async def symbol_detect_image(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""
Makes image captions into text then passes the `update` and `context`
to symbol detect so that it can reply cashtags in image captions.
"""
try:
if update.message.caption:
update.message.text = update.message.caption
await symbol_detect(update, context)
except AttributeError:
return
async def symbol_detect(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""
Runs on any message that doesn't have a command and searches for cashtags,
then returns the prices of any symbols found.
"""
try:
message = update.message.text
chat_id = update.message.chat_id
if "$" in message:
symbols = s.find_symbols(message)
log.info("Looking for Symbols")
else:
return
except AttributeError as ex:
log.info(ex)
return
if symbols:
# Let user know bot is working
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
log.info(f"Symbols found: {symbols}")
for reply in s.price_reply(symbols):
await update.message.reply_text(
text=reply,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def intra(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of intraday data for a symbol"""
log.info(f"Intra command ran by {update.message.chat.username}")
message = update.message.text
chat_id = update.message.chat_id
if message.strip().split("@")[0] == "/intra":
await update.message.reply_text(
"This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla"
)
return
symbols = s.find_symbols(message, trending_weight=5)
symbol = symbols[0]
if len(symbols):
symbol = symbols[0]
else:
await update.message.reply_text("No symbols or coins found.")
return
df = s.intra_reply(symbol)
if df.empty:
await update.message.reply_text(
text="Invalid symbol please see `/help` for usage details.",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
return
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
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)
await update.message.reply_photo(
photo=buf,
caption=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 %Z')}"
+ f"\n\n{s.price_reply([symbol])[0]}",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def chart(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of the past month of data for a symbol"""
log.info(f"Chart command ran by {update.message.chat.username}")
message = update.message.text
chat_id = update.message.chat_id
if message.strip().split("@")[0] == "/chart":
await update.message.reply_text(
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla"
)
return
symbols = s.find_symbols(message, trending_weight=10)
if len(symbols):
symbol = symbols[0]
else:
await update.message.reply_text("No symbols or coins found.")
return
df = s.chart_reply(symbol)
if df.empty:
await update.message.reply_text(
text="Invalid symbol please see `/help` for usage details.",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
return
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
buf = io.BytesIO()
mpf.plot(
df,
type="candle",
title=f"\n{symbol.name}",
volume="Volume" in df.keys(),
style="yahoo",
savefig=dict(fname=buf, dpi=400, bbox_inches="tight"),
)
buf.seek(0)
await update.message.reply_photo(
photo=buf,
caption=f"\n1 Month chart for {symbol.name} from {df.first_valid_index().strftime('%d, %b %Y')}"
+ f" to {df.last_valid_index().strftime('%d, %b %Y')}\n\n{s.price_reply([symbol])[0]}",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def trending(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns currently trending symbols and how much they've moved in the past trading day."""
log.info(f"Trending command ran by {update.message.chat.username}")
chat_id = update.message.chat_id
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
trending_list = s.trending()
await update.message.reply_text(
text=trending_list,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def inline_query(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
"""
Handles inline query. Searches by looking if query is contained
in the symbol and returns matches in alphabetical order.
"""
if not update.inline_query.query:
return
print(f"Query: {update.inline_query.query}")
ignored_queries = {"$", "$$", " ", ""}
if update.inline_query.query.strip() in ignored_queries:
default_message = """
You can type:\n@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.
"""
await update.inline_query.answer(
[
InlineQueryResultArticle(
str(uuid4()),
title="Please enter a query. It can be a ticker or a name of a company.",
input_message_content=InputTextMessageContent(
default_message, parse_mode=telegram.constants.ParseMode.MARKDOWN
),
)
]
)
matches = s.inline_search(update.inline_query.query)
results = []
for _, row in matches.iterrows():
results.append(
InlineQueryResultArticle(
str(uuid4()),
title=row["description"],
input_message_content=InputTextMessageContent(
row["price_reply"], parse_mode=telegram.constants.ParseMode.MARKDOWN
),
)
)
if len(results) == 5:
await update.inline_query.answer(results, cache_time=60 * 60)
log.info("Inline Command was successful")
return
await update.inline_query.answer(results)
async def rand_pick(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""For the gamblers. Returns a random symbol to buy and a sell date"""
log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}")
await update.message.reply_text(
text=s.random_pick(),
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def error(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Log Errors caused by Updates."""
log.warning('Update "%s" caused error "%s"', update, error)
tb_list = traceback.format_exception(None, context.error, context.error.__traceback__)
tb_string = "".join(tb_list)
err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)])
log.warning(f"Logging error: {err_code}")
if update:
log.warning(
f"An exception was raised while handling an update\n"
f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n"
f"\tcontext.chat_data = {str(context.chat_data)}\n"
f"\tcontext.user_data = {str(context.user_data)}\n"
f"\t{html.escape(tb_string)}"
)
await update.message.reply_text(
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
)
else:
log.warning("No message to send to user.")
log.warning(tb_string)
def main():
"""Start the context.bot."""
# Create the EventHandler and pass it your bot's token.
application = Application.builder().token(TELEGRAM_TOKEN).build()
# on different commands - answer in Telegram
application.add_handler(CommandHandler("start", start))
application.add_handler(CommandHandler("help", help))
application.add_handler(CommandHandler("license", license))
application.add_handler(CommandHandler("trending", trending))
application.add_handler(CommandHandler("random", rand_pick))
application.add_handler(CommandHandler("donate", donate))
application.add_handler(CommandHandler("status", status))
application.add_handler(CommandHandler("inline", inline_query))
# Charting can be slow so they run async.
application.add_handler(CommandHandler("intra", intra, block=False))
application.add_handler(CommandHandler("intraday", intra, block=False))
application.add_handler(CommandHandler("day", intra, block=False))
application.add_handler(CommandHandler("chart", chart, block=False))
application.add_handler(CommandHandler("month", chart, block=False))
# on noncommand i.e message - echo the message on Telegram
application.add_handler(MessageHandler(filters.TEXT, symbol_detect))
application.add_handler(MessageHandler(filters.PHOTO, symbol_detect_image))
# Inline Bot commands
application.add_handler(InlineQueryHandler(inline_query))
# Pre-checkout handler to final check
application.add_handler(PreCheckoutQueryHandler(precheckout_callback))
# Payment success
application.add_handler(MessageHandler(filters.SUCCESSFUL_PAYMENT, successful_payment_callback))
# log all errors
application.add_error_handler(error)
# Start the Bot
application.run_polling(allowed_updates=Update.ALL_TYPES)
if __name__ == "__main__":
main()
# Works with Python 3.8
import datetime
import html
import io
import json
import logging
import os
import random
import string
import traceback
from uuid import uuid4
import mplfinance as mpf
import telegram
from telegram import (
InlineQueryResultArticle,
InputTextMessageContent,
LabeledPrice,
Update,
)
from telegram.ext import (
Application,
CommandHandler,
InlineQueryHandler,
PreCheckoutQueryHandler,
MessageHandler,
filters,
ContextTypes,
)
from common.symbol_router import Router
from T_info import T_info
# Enable logging
logging.basicConfig(format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO)
# set higher logging level for httpx to avoid all GET and POST requests being logged
logging.getLogger("httpx").setLevel(logging.WARNING)
log = logging.getLogger(__name__)
TELEGRAM_TOKEN = os.environ["TELEGRAM"]
try:
STRIPE_TOKEN = os.environ["STRIPE"]
except KeyError:
STRIPE_TOKEN = ""
log.warning("Starting without a STRIPE Token will not allow you to accept Donations!")
s = Router()
t = T_info()
log.info("Bot script started.")
async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Send help text when the command /start is issued."""
log.info(f"Start command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.help_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def help(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Send help text when the command /help is issued."""
log.info(f"Help command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.help_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def license(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Send bots license when the /license command is issued."""
log.info(f"License command ran by {update.message.chat.username}")
await update.message.reply_text(
text=t.license,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def status(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Gather status of bot and dependant services and return important status updates."""
log.warning(f"Status command ran by {update.message.chat.username}")
bot_resp_time = datetime.datetime.now(update.message.date.tzinfo) - update.message.date
bot_status = s.status(f"It took {bot_resp_time.total_seconds()} seconds for the bot to get your message.")
await update.message.reply_text(
text=bot_status,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
)
async def donate(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Sets up donation."""
log.info(f"Donate command ran by {update.message.chat.username}")
chat_id = update.message.chat_id
if update.message.text.strip() == "/donate" or "/donate@" in update.message.text:
await update.message.reply_text(
text=t.donate_text,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
amount = 1.0
else:
amount = float(update.message.text.replace("/donate", "").replace("$", "").strip())
try:
price = int(amount * 100)
except ValueError:
await update.message.reply_text(f"{amount} is not a valid donation amount or number.")
return
log.info(f"Donation amount: {price} by {update.message.chat.username}")
await context.bot.send_invoice(
chat_id=chat_id,
title="Simple Stock Bot Donation",
description=f"Simple Stock Bot Donation of ${amount} by {update.message.chat.username}",
payload=f"simple-stock-bot-{chat_id}",
provider_token=STRIPE_TOKEN,
currency="USD",
prices=[LabeledPrice("Donation:", price)],
start_parameter="",
# suggested_tip_amounts=[100, 500, 1000, 2000],
photo_url="https://simple-stock-bots.gitlab.io/docs/img/Telegram.png",
photo_width=500,
photo_height=500,
)
async def precheckout_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Approves donation"""
log.info("precheckout_callback queried")
query = update.pre_checkout_query
await query.answer(ok=True)
# I dont think I need to check since its only donations.
# if query.invoice_payload == "simple-stock-bot":
# # answer False pre_checkout_query
# await query.answer(ok=True)
# else:
# await query.answer(ok=False, error_message="Something went wrong...")
async def successful_payment_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Thanks user for donation"""
log.info("Successful payment!")
await update.message.reply_text("Thank you for your donation! It goes a long way to keeping the bot free!")
async def symbol_detect_image(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""
Makes image captions into text then passes the `update` and `context`
to symbol detect so that it can reply cashtags in image captions.
"""
try:
if update.message.caption:
update.message.text = update.message.caption
await symbol_detect(update, context)
except AttributeError:
return
async def symbol_detect(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""
Runs on any message that doesn't have a command and searches for cashtags,
then returns the prices of any symbols found.
"""
try:
message = update.message.text
chat_id = update.message.chat_id
if "$" in message:
symbols = s.find_symbols(message)
log.info("Looking for Symbols")
else:
return
except AttributeError as ex:
log.info(ex)
return
if symbols:
# Let user know bot is working
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
log.info(f"Symbols found: {symbols}")
for reply in s.price_reply(symbols):
await update.message.reply_text(
text=reply,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def intra(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of intraday data for a symbol"""
log.info(f"Intra command ran by {update.message.chat.username}")
message = update.message.text
chat_id = update.message.chat_id
if message.strip().split("@")[0] == "/intra":
await update.message.reply_text(
"This command returns a chart of the stocks movement since the most recent market open.\nExample: /intra $tsla"
)
return
symbols = s.find_symbols(message, trending_weight=5)
symbol = symbols[0]
if len(symbols):
symbol = symbols[0]
else:
await update.message.reply_text("No symbols or coins found.")
return
df = s.intra_reply(symbol)
if df.empty:
await update.message.reply_text(
text="Invalid symbol please see `/help` for usage details.",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
return
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
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)
await update.message.reply_photo(
photo=buf,
caption=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 %Z')}"
+ f"\n\n{s.price_reply([symbol])[0]}",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def chart(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns a chart of the past month of data for a symbol"""
log.info(f"Chart command ran by {update.message.chat.username}")
message = update.message.text
chat_id = update.message.chat_id
if message.strip().split("@")[0] == "/chart":
await update.message.reply_text(
"This command returns a chart of the stocks movement for the past month.\nExample: /chart $tsla"
)
return
symbols = s.find_symbols(message, trending_weight=10)
if len(symbols):
symbol = symbols[0]
else:
await update.message.reply_text("No symbols or coins found.")
return
df = s.chart_reply(symbol)
if df.empty:
await update.message.reply_text(
text="Invalid symbol please see `/help` for usage details.",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
return
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.UPLOAD_PHOTO)
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)
await update.message.reply_photo(
photo=buf,
caption=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')}\n\n{s.price_reply([symbol])[0]}",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def trending(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""returns currently trending symbols and how much they've moved in the past trading day."""
log.info(f"Trending command ran by {update.message.chat.username}")
chat_id = update.message.chat_id
await context.bot.send_chat_action(chat_id=chat_id, action=telegram.constants.ChatAction.TYPING)
trending_list = s.trending()
await update.message.reply_text(
text=trending_list,
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def inline_query(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
"""
Handles inline query. Searches by looking if query is contained
in the symbol and returns matches in alphabetical order.
"""
if not update.inline_query.query:
return
print(f"Query: {update.inline_query.query}")
ignored_queries = {"$", "$$", " ", ""}
if update.inline_query.query.strip() in ignored_queries:
default_message = """
You can type:\n@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.
"""
await update.inline_query.answer(
[
InlineQueryResultArticle(
str(uuid4()),
title="Please enter a query. It can be a ticker or a name of a company.",
input_message_content=InputTextMessageContent(
default_message, parse_mode=telegram.constants.ParseMode.MARKDOWN
),
)
]
)
matches = s.inline_search(update.inline_query.query)
results = []
for _, row in matches.iterrows():
results.append(
InlineQueryResultArticle(
str(uuid4()),
title=row["description"],
input_message_content=InputTextMessageContent(
row["price_reply"], parse_mode=telegram.constants.ParseMode.MARKDOWN
),
)
)
if len(results) == 5:
await update.inline_query.answer(results, cache_time=60 * 60)
log.info("Inline Command was successful")
return
await update.inline_query.answer(results)
async def rand_pick(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""For the gamblers. Returns a random symbol to buy and a sell date"""
log.info(f"Someone is gambling! Random_pick command ran by {update.message.chat.username}")
await update.message.reply_text(
text=s.random_pick(),
parse_mode=telegram.constants.ParseMode.MARKDOWN,
disable_notification=True,
)
async def error(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Log Errors caused by Updates."""
log.warning('Update "%s" caused error "%s"', update, error)
tb_list = traceback.format_exception(None, context.error, context.error.__traceback__)
tb_string = "".join(tb_list)
err_code = "".join([random.choice(string.ascii_lowercase) for i in range(5)])
log.warning(f"Logging error: {err_code}")
if update:
log.warning(
f"An exception was raised while handling an update\n"
f"\tupdate = {html.escape(json.dumps(update.to_dict(), indent=2, ensure_ascii=False))}\n"
f"\tcontext.chat_data = {str(context.chat_data)}\n"
f"\tcontext.user_data = {str(context.user_data)}\n"
f"\t{html.escape(tb_string)}"
)
await update.message.reply_text(
text=f"An error has occured. Please inform @MisterBiggs if the error persists. Error Code: `{err_code}`",
parse_mode=telegram.constants.ParseMode.MARKDOWN,
)
else:
log.warning("No message to send to user.")
log.warning(tb_string)
def main():
"""Start the context.bot."""
# Create the EventHandler and pass it your bot's token.
application = Application.builder().token(TELEGRAM_TOKEN).build()
# on different commands - answer in Telegram
application.add_handler(CommandHandler("start", start))
application.add_handler(CommandHandler("help", help))
application.add_handler(CommandHandler("license", license))
application.add_handler(CommandHandler("trending", trending))
application.add_handler(CommandHandler("random", rand_pick))
application.add_handler(CommandHandler("donate", donate))
application.add_handler(CommandHandler("status", status))
application.add_handler(CommandHandler("inline", inline_query))
# Charting can be slow so they run async.
application.add_handler(CommandHandler("intra", intra, block=False))
application.add_handler(CommandHandler("intraday", intra, block=False))
application.add_handler(CommandHandler("day", intra, block=False))
application.add_handler(CommandHandler("chart", chart, block=False))
application.add_handler(CommandHandler("month", chart, block=False))
# on noncommand i.e message - echo the message on Telegram
application.add_handler(MessageHandler(filters.TEXT, symbol_detect))
application.add_handler(MessageHandler(filters.PHOTO, symbol_detect_image))
# Inline Bot commands
application.add_handler(InlineQueryHandler(inline_query))
# Pre-checkout handler to final check
application.add_handler(PreCheckoutQueryHandler(precheckout_callback))
# Payment success
application.add_handler(MessageHandler(filters.SUCCESSFUL_PAYMENT, successful_payment_callback))
# log all errors
application.add_error_handler(error)
# Start the Bot
application.run_polling(allowed_updates=Update.ALL_TYPES)
if __name__ == "__main__":
main()

View File

@ -1,7 +0,0 @@
python-telegram-bot==20.5
requests==2.31.0
pandas==2.1.0
schedule==1.2.0
mplfinance==0.12.10b0
markdownify==0.11.6
cachetools==5.3.1

View File

@ -0,0 +1,2 @@
python-telegram-bot==20.5
-r requirements.txt

View File

@ -1,33 +1,33 @@
import keyboard
import time
tests = """$$xno
/info $tsla
/info $$btc
/news $tsla
/news $$btc
/stat $tsla
/stat $$btc
/cap $tsla
/cap $$btc
/dividend $tsla
/dividend $msft
/dividend $$btc
/intra $tsla
/intra $$btc
/chart $tsla
/chart $$btc
/help
/trending""".split(
"\n"
)
print("press enter to start")
keyboard.wait("enter")
for test in tests:
print(test)
keyboard.write(test)
time.sleep(1)
keyboard.press_and_release("enter")
import keyboard
import time
tests = """$$xno
/info $tsla
/info $$btc
/news $tsla
/news $$btc
/stat $tsla
/stat $$btc
/cap $tsla
/cap $$btc
/dividend $tsla
/dividend $msft
/dividend $$btc
/intra $tsla
/intra $$btc
/chart $tsla
/chart $$btc
/help
/trending""".split(
"\n"
)
print("press enter to start")
keyboard.wait("enter")
for test in tests:
print(test)
keyboard.write(test)
time.sleep(1)
keyboard.press_and_release("enter")