Merge branch '23-pull-in-changes-from-telegram-bot' into 'master'

Resolve "Pull in changes from Telegram bot" Closes #23 See merge request simple-stock-bots/simple-discord-stock-bot!6
Resolve "Pull in changes from Telegram bot"
2025-06-16 15:17:29 +00:00 · 2023-04-16 21:57:33 +00:00 · 2023-04-16 21:57:33 +00:00 · 2022-01-04 21:54:28 -07:00 · 2022-01-04 20:54:15 -07:00 · 2021-08-15 19:51:38 -07:00
20 changed files with 1529 additions and 613 deletions
--- a/.devcontainer/Dockerfile
+++ b/.devcontainer/Dockerfile
@ -0,0 +1,22 @@
 FROM python:3.11-buster AS builder
 COPY requirements.txt /requirements.txt
 COPY dev-reqs.txt /dev-reqs.txt
 RUN pip install --user -r dev-reqs.txt
 FROM python:3.11-slim
 COPY --from=builder /root/.local /root/.local
 ENV MPLBACKEND=Agg
 ENV DISCORD=NTMyMDQ1MjAwODIzMDI1NjY2.XDQftA.Px-arL5wDMB4XKcoPOS1r4gCGmA
 ENV MARKETDATA=a01mVUZ4cW1sUUFOVWlEZ3NNTHFNeHYzS2diUUhTUVJZbzNxVVEwTUxVMD0
 COPY . .
 # CMD [ "python", "./bot.py" ]
--- a/.devcontainer/devcontainer.json
+++ b/.devcontainer/devcontainer.json
@ -0,0 +1,26 @@
 // For format details, see https://aka.ms/devcontainer.json. For config options, see the README at:
 // https://github.com/microsoft/vscode-dev-containers/tree/v0.191.0/containers/docker-existing-dockerfile
 {
 	"name": "DockerDev",
 	// Sets the run context to one level up instead of the .devcontainer folder.
 	"context": "..",
 	// Update the 'dockerFile' property if you aren't using the standard 'Dockerfile' filename.
 	"dockerFile": "Dockerfile",
 	// Set *default* container specific settings.json values on container create.
 	"settings": {},
 	// Add the IDs of extensions you want installed when the container is created.
 	"extensions": [
 		"ms-python.python",
 		"ms-azuretools.vscode-docker"
 	]
 	// Use 'forwardPorts' to make a list of ports inside the container available locally.
 	// "forwardPorts": [],
 	// Uncomment the next line to run commands after the container is created - for example installing curl.
 	// "postCreateCommand": "apt-get update && apt-get install -y curl",
 	// Uncomment when using a ptrace-based debugger like C++, Go, and Rust
 	// "runArgs": [ "--cap-add=SYS_PTRACE", "--security-opt", "seccomp=unconfined" ],
 	// Uncomment to use the Docker CLI from inside the container. See https://aka.ms/vscode-remote/samples/docker-from-docker.
 	// "mounts": [ "source=/var/run/docker.sock,target=/var/run/docker.sock,type=bind" ],
 	// Uncomment to connect as a non-root user if you've added one. See https://aka.ms/vscode-remote/containers/non-root.
 	// "remoteUser": "vscode"
 }
--- a/.gitignore
+++ b/.gitignore
@ -1,2 +1,3 @@
-.vscode/settings.json
+__pycache__
-__pycache__/functions.cpython-38.pyc
+.mypy_cache
 nextcord.log
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@ -0,0 +1,34 @@
 black:
  stage: .pre
  image: registry.gitlab.com/pipeline-components/black:latest
  script:
    - black --check --verbose -- .
 build:master:
  stage: build
  image:
    name: gcr.io/kaniko-project/executor:v1.9.0-debug
    entrypoint: [""]
  script:
    - /kaniko/executor
      --context "${CI_PROJECT_DIR}"
      --dockerfile "${CI_PROJECT_DIR}/Dockerfile"
      --destination "${CI_REGISTRY_IMAGE}:latest"
  rules:
    - if: '$CI_COMMIT_BRANCH == "master"'
 build:branch:
  stage: build
  image:
    name: gcr.io/kaniko-project/executor:v1.9.0-debug
    entrypoint: [""]
  script:
    - /kaniko/executor
      --context "${CI_PROJECT_DIR}"
      --dockerfile "${CI_PROJECT_DIR}/Dockerfile"
      --destination "${CI_REGISTRY_IMAGE}:${CI_COMMIT_SHORT_SHA}"
      --destination "${CI_REGISTRY_IMAGE}:${CI_COMMIT_BRANCH}"
  rules:
    - if: '$CI_COMMIT_BRANCH != "master"'
--- a/.vscode/launch.json
+++ b/.vscode/launch.json
@ -0,0 +1,12 @@
 {
    "configurations": [
        {
            "name": "Discord Bot",
            "type": "python",
            "request": "launch",
            "program": "bot.py",
            "console": "integratedTerminal",
            "python": "python3.11"
        }
    ]
 }
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@ -0,0 +1,5 @@
 {
    "python.formatting.provider": "black",
    "python.linting.mypyEnabled": true,
    "python.linting.flake8Enabled": true,
 }
--- a/D_info.py
+++ b/D_info.py
@ -0,0 +1,65 @@
 """Functions and Info specific to the discord Bot
 """
 import re
 import requests as r
 class D_info:
    license = re.sub(
        r"\b\n",
        " ",
        r.get("https://gitlab.com/simple-stock-bots/simple-discord-stock-bot/-/raw/master/LICENSE").text,
    )
    help_text = """
 Thanks for using this bot, consider supporting it by [buying me a beer.](https://www.buymeacoffee.com/Anson)
 If you are interested in stock market data, or want to host your own bot, be sure to use my affiliate link so that the bot can stay free: [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord)
 Keep up with the latest news for the bot in its discord Channel: https://t.me/simplestockbotnews
 Full documentation on using and running your own stock bot can be found on the bots [docs.](https://docs.simplestockbot.com)
 The bot detects _"Symbols"_ using either one `$` or two `$$` dollar signs before the symbol. One dollar sign is for a stock market ticker, while two is for a cryptocurrency coin. `/chart $$eth` would return a chart of the past month of data for Ethereum, while `/dividend $psec` returns dividend information for Prospect Capital stock.
 Simply calling a symbol in any message that the bot can see will also return the price. So a message like: `I wonder if $$btc will go to the Moon now that $tsla accepts it as payment` would return the current price for both Bitcoin and Tesla. 
 **Commands**
        - `/donate [amount in USD]` to donate. 🎗️
        - `/intra $[symbol]` Plot of the stocks movement since the last market open.  📈
        - `/chart $[symbol]` Plot of the stocks movement for the past 1 month. 📊
        - `/trending` Trending Stocks and Cryptos. 💬
        - `/help` Get some help using the bot. 🆘
 **Inline Features**
    You can type @SimpleStockBot `[search]` in any chat or direct message to search for the stock bots full list of stock and crypto symbols and return the price. Then once you select the ticker want the bot will send a message as you in that chat with the latest stock price. Prices may be delayed by up to an hour.
    Market data is provided by [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord)
    If you believe the bot is not behaving properly run `/status` or [get in touch](https://docs.simplestockbot.com/contact).
    """
    donate_text = """
 Simple Stock Bot is run entirely on donations[.](https://www.buymeacoffee.com/Anson)
 All donations go directly towards paying for servers, and market data is provided by
 [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=discord).
 The easiest way to donate is to run the `/donate [amount in USD]` command with US dollars you would like to donate.
 Example: `/donate 2` would donate 2 USD.
 An alternative way to donate is through https://www.buymeacoffee.com/Anson which requires no account and accepts Paypal or Credit card.
 If you have any questions see the [website](https://docs.simplestockbot.com)
    """
 commands = """ # Not used by the bot but for updating commands with BotFather
 donate - Donate to the bot 🎗️
 help - Get some help using the bot. 🆘
 trending - Trending Stocks and Cryptos. 💬
 intra - $[symbol] Plot since the last market open. 📈
 chart - $[chart] Plot of the past month. 📊
 """
--- a/17
+++ b/17
@ -1,8 +1,17 @@
-FROM python:3.8-buster
+FROM python:3.11-buster AS builder
 COPY requirements.txt /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 requirements.txt ./
 RUN pip install --no-cache-dir -r requirements.txt
 COPY . .
-CMD [ "python", "./bot.py" ]
+CMD [ "python", "./bot.py" ]
--- a/194
+++ b/194
@ -1,173 +1,21 @@
-## creative commons
+MIT License
-
+
-# Attribution-ShareAlike 4.0 International
+Copyright (c) 2019 Anson Biggs
-
+
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+Permission is hereby granted, free of charge, to any person obtaining a copy
-
+of this software and associated documentation files (the "Software"), to deal
-### Using Creative Commons Public Licenses
+in the Software without restriction, including without limitation the rights
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+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-Creative Commons public licenses provide a standard set of terms and conditions that creators and other rights holders may use to share original works of authorship and other material subject to copyright and certain other rights specified in the public license below. The following considerations are for informational purposes only, are not exhaustive, and do not form part of our licenses.
+copies of the Software, and to permit persons to whom the Software is
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+The above copyright notice and this permission notice shall be included in all
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--- a/MarketData.py
+++ b/MarketData.py
@ -0,0 +1,263 @@
 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 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)
            changePercent = round(quoteResp["changepct"][0], 2)
            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}/"):
            changePercent = round(quoteResp["changepct"][0], 2)
            return f"`{symbol.tag}`: {changePercent}%"
        else:
            logging.warning(f"{symbol} did not have 'changepct' field.")
            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()
--- a/README.md
+++ b/README.md
@ -1,176 +1,33 @@
-<div align="center">
+# Simple Discord Stock Bot
 <p align="center">
  <a href="" rel="noopener">
 <img width=200px height=200px src="https://assets.gitlab-static.net/uploads/-/system/project/avatar/10273693/logo.jpg" alt="Simple Discord Stock Bot"></a>
 </p>
 <h3 align="center">Simple Discord Stock Bot</h3>
 <a href="https://www.buymeacoffee.com/Anson" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy Me A Beer" style="height: 51px !important;width: 217px !important;" ></a>
 [![Status](https://img.shields.io/badge/status-active-success.svg)]()
 [![Platform](https://img.shields.io/badge/platform-Discord-blue.svg)]()
 [![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE)
 [![Author](https://img.shields.io/badge/Maintainer-Anson-blue)](https://ansonbiggs.com)
-</div>
+## Docs
---
+https://docs.simplestockbot.com/
-<p align="center"> Discord Bot 🤖 that provides Stock Market information.
+## Usage
    <br> 
 </p>
-## 📝 Table of Contents
+https://docs.simplestockbot.com/commands/
- [About](#about)
+## Donate
 - [How it works](#working)
 - [Usage](#usage)
 - [Getting Started](#getting_started)
 - [Deploying your own bot](#deployment)
 - [Built Using](#built_using)
 - [Contributing](../CONTRIBUTING.md)
 - [author](#author)
 - [Acknowledgments](#acknowledgement)
-## 🧐 About <a name = "about"></a>
+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).
-This bot aims to be as simple as possible while providing all the information you need on the stock market. The motivation of this bot is to provide similar stock market functionality that the Google Assistant provided in [Google Allo](https://gcemetery.co/google-allo/) before the project was sunset.
+The best way to donate is through [Buy Me A Coffee](https://www.buymeacoffee.com/Anson) which accepts Paypal or Credit card.
-## 💭 How it works <a name = "working"></a>
+If you have any questions get in [touch.](contact.md)
-This bot works by using the [IEX API 2.0](https://iexcloud.io/docs/api/). Using various endpoints provided by the API, the bot can take either take commands from users or check any messages for stock symbols as detailed in [Usage](#usage).
+## Other Ways to Help:
-## 🎈 Usage <a name = "usage"></a>
+- 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
-### Basic Usage
+- Using my referral links to host your own Bot
-
+  - [DigitalOcean](https://m.do.co/c/6b5df7ef55b6)
-The simplest way to use the bot is just by sending a message either as a direct message or in a group chat with the bot active. The bot will search every message for text with a dollar sign followed by a stock symbol, and it will return the full name of the company and the current trading price.
+  - [marketdata.app](https://dashboard.marketdata.app/marketdata/aff/go/misterbiggs?keyword=repo)
 ```
 $tsla
 ```
 The symbols can be anywhere in the message, and you can post as many as you like so commands such as:
 ```
 I wonder if $aapl is down as much as $msft is today.
 ```
 would return the stock price of both Apple and Microsoft like so:
 ```
 The current stock price of Microsoft Corp. is $131.4, the stock is currently up 2.8%
 The current stock price of Apple, Inc. is $190.15, the stock is currently up 2.66%
 ```
 ### /search `query`
 This command takes any query and searches all tickers and company names that the bot supports and returns matches. The bot uses IEX Cloud so market information is limited to what they support, which is still about ~15,000 tickers so anything in a United States exchange should have support.
 ### /dividend \$ticker
 To get information about the dividend of a stock type `/dividend` followed by any text that has symbols with a dollar sign in front of them. So, the following command:
 ```
 /dividend $psec
 ```
 Would return information about Prospect Capitals dividend:
 ```
 Prospect Capital Corp. Declares June 2019 Dividend of $0.06 Per Share
 The dividend is in: 38 Days 3 Hours 53 Minutes 22 Seconds.
 ```
 💡 you can also call the dividend command using /div
 ### /news \$ticker
 To get the latest news about a stock symbol use `/news` followed by any text that has symbols with a dollar sign in front of them. So, the following command:
 ```
 /news $psec
 ```
 Would return news for Prospect Capital:
 News for PSEC:
 [Yield-Starved Investors Still Accumulating BDCs Paying More Than 10% Annually](https://cloud.iexapis.com/v1/news/article/d994b8b5-9fbf-4ceb-afbe-e6defcfc6352)
 [Assessing Main Street Capital's Results For Q1 2019 (Includes Updated Price Target And Investment Ratings Analysis)](https://cloud.iexapis.com/v1/news/article/e60899bc-5230-4388-a609-fc2b8736a7d4)
 [Fully Assessing Prospect Capital's Fiscal Q3 2019 (Includes Current Recommendation And Price Target)](https://cloud.iexapis.com/v1/news/article/08881160-72c5-4f5d-885b-1751187d24eb)
 ### /info \$ticker
 To get information about a stock type `/info` followed by any text that has symbols with a dollar sign in front of them. So, the following command:
 ```
 /info $psec
 ```
 Would return information about Prospect Capitals:
 Company Name: [Prospect Capital Corp.](http://www.prospectstreet.com/)  
 Industry: Investment Managers  
 Sector: Finance  
 CEO: John Francis Barry  
 Description: Prospect Capital Corp. is a business development company, which engages in lending to and investing in private businesses. It also involves in generating current income and long-term capital appreciation through debt and equity investments. The company was founded on April 13, 2004 and is headquartered in New York, NY.
 ## 🏁 Getting Started <a name = "getting_started"></a>
 You can either choose to use the hosted version of the bot by [clicking here](https://discordapp.com/oauth2/authorize?client_id=532045200823025666&permissions=2048&scope=bot) or you can host your own bot with the instructions below.
 ### 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. See [deployment](#deployment) for notes on how to deploy the project on a live system.
 ### 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.
 You will also need a Discord API key which can be obtained [here.](https://discordapp.com/developers/)
 Finally, you will need and IEX Cloud API key. They offer a free tier that should be enough for any private groups, more details [here.](https://iexcloud.io/)
 ### Installing
 Once Docker is installed and you have your API keys for Discord and IEX Cloud 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-discord-bot .
 ```
 Then run the bot using your API keys.
 ```
 docker run --detach \
     -e discord=DISCORD_TOKEN \
     -e IEX=IEX_TOKEN \
      simple-discord-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.
 ## 🚀 Deploying your own bot <a name = "deployment"></a>
 I recommend Digital Ocean for small projects like this because it is straightforward to use and affordable. [Sign up with my referral code, and we both get some free hosting.](https://m.do.co/c/6b5df7ef55b6)
 ## ⛏️ Built Using <a name = "built_using"></a>
 - [discord.py](https://github.com/Rapptz/discord.py) - Python Discord API Wrapper
 - [Digital Ocean](https://www.digitalocean.com/) - IaaS hosting platform
 ## ✍️ author <a name = "author"></a>
 - [Anson Biggs](https://blog.ansonbiggs.com/author/anson/) - The one and only
 ## 🎉 Acknowledgements <a name = "acknowledgement"></a>
 - Discord for having a great bot API
 - IEX Cloud for offering a free tier
 - Viewers like you ♥
--- a/Symbol.py
+++ b/Symbol.py
@ -0,0 +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()
--- a/bot.py
+++ b/bot.py
@ -1,78 +1,202 @@
-import discord
+import datetime
-from functions import Symbol
+import io
 import logging
 import os
-client = discord.Client()
+import mplfinance as mpf
-s = Symbol(os.environ["IEX"])
+import nextcord
 from nextcord.ext import commands
 from D_info import D_info
 from symbol_router import Router
 DISCORD_TOKEN = os.environ["DISCORD"]
 s = Router()
 d = D_info()
-@client.event
+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():
-    print("We have logged in as {0.user}".format(client))
+    logging.info("Starting Simple Stock Bot")
    logging.info(f"Logged in as {bot.user.name} {bot.user.id}")
-@client.event
+@bot.command()
-async def on_message(message):
+async def status(ctx: commands):
-    if message.author == client.user:
+    """Debug command for diagnosing if the bot is experiencing any issues."""
    logging.warning(f"Status command ran by {ctx.message.author}")
    message = ""
    try:
        message = "Contact MisterBiggs#0465 if you need help.\n"
        message += s.status(f"Bot recieved your message in: {bot.latency*1000:.4f}ms") + "\n"
    except Exception as ex:
        logging.critical(ex)
        message += (
            f"*\n\nERROR ENCOUNTERED:*\n{ex}\n\n"
            + "*The bot encountered an error while attempting to find errors. Please contact the bot admin.*"
        )
    await ctx.send(message)
@bot.command()
 async def license(ctx: commands):
    """Returns the bots license agreement."""
    await ctx.send(d.license)
@bot.command()
 async def donate(ctx: commands):
    """Details on how to support the development and hosting of the bot."""
    await ctx.send(d.donate_text)
@bot.command()
 async def search(ctx: commands, *, query: str):
    """Search for a stock symbol using either symbol of company name."""
    results = s.search_symbols(query)
    if results:
        reply = "*Search Results:*\n`$ticker: Company Name`\n"
        for query in results:
            reply += "`" + query[1] + "`\n"
        await ctx.send(reply)
@bot.command()
 async def crypto(ctx: commands, _: str):
    """Get the price of a cryptocurrency using in USD."""
    await ctx.send("Crypto now has native support. Any crypto can be called using two dollar signs: `$$eth` `$$btc` `$$doge`")
@bot.command()
 async def intra(ctx: commands, sym: str):
    """Get a chart for the stocks movement since market open."""
    symbols = s.find_symbols(sym)
    if len(symbols):
        symbol = symbols[0]
    else:
        await ctx.send("No symbols or coins found.")
        return
-    # Check for dividend command
+    df = s.intra_reply(symbol)
-    if message.content.startswith("/dividend"):
+    if df.empty:
-        replies = s.dividend_reply(s.find_symbols(message.content))
+        await ctx.send("Invalid symbol please see `/help` for usage details.")
-        if replies:
+        return
-            for reply in replies.items():
+    with ctx.channel.typing():
-                await message.channel.send(reply[1])
+        buf = io.BytesIO()
-        else:
+        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"),
        )
-            await message.channel.send(
+        buf.seek(0)
                "Command requires a ticker. See /help for more information."
            )
-    elif message.content.startswith("/news"):
+        # Get price so theres no request lag after the image is sent
-        replies = s.news_reply(s.find_symbols(message.content))
+        price_reply = s.price_reply([symbol])[0]
-        if replies:
+        await ctx.send(
-            for reply in replies.items():
+            file=nextcord.File(
-                await message.channel.send(reply[1])
+                buf,
-        else:
+                filename=f"{symbol.name}:intra{datetime.date.today().strftime('%S%M%d%b%Y')}.png",
-            await message.channel.send(
+            ),
-                "Command requires a ticker. See /help for more information."
+            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)
    elif message.content.startswith("/info"):
        replies = s.info_reply(s.find_symbols(message.content))
        if replies:
            for reply in replies.items():
                await message.channel.send(reply[1])
        else:
            await message.channel.send(
                "Command requires a ticker. See /help for more information."
            )
-    elif message.content.startswith("/search"):
+@bot.command()
-        queries = s.search_symbols(message.content[7:])[:6]
+async def chart(ctx: commands, sym: str):
-        if queries:
+    """returns a chart of the past month of data for a symbol"""
            reply = "*Search Results:*\n`$ticker: Company Name`\n"
            for query in queries:
                reply += "`" + query[1] + "`\n"
            await message.channel.send(reply)
-        else:
+    symbols = s.find_symbols(sym)
            await message.channel.send(
                "Command requires a query. See /help for more information."
            )
-    elif message.content.startswith("/help"):
+    if len(symbols):
-        """Send link to docs when the command /help is issued."""
+        symbol = symbols[0]
        await message.channel.send(s.help_text)
    # If no commands, check for any tickers.
    else:
-        replies = s.price_reply(s.find_symbols(message.content))
+        await ctx.send("No symbols or coins found.")
-        if replies:
+        return
-            for reply in replies.items():
+
-                await message.channel.send(reply[1])
+    df = s.chart_reply(symbol)
-        else:
+    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)
-client.run(os.environ["DISCORD"])
+            if symbols:
                for reply in s.price_reply(symbols):
                    await message.channel.send(reply)
                return
 bot.run(DISCORD_TOKEN)
--- a/cg_Crypto.py
+++ b/cg_Crypto.py
@ -0,0 +1,367 @@
 import logging
 from typing import List
 import pandas as pd
 import requests as r
 import schedule
 from markdownify import markdownify
 from Symbol import Coin
 log = logging.getLogger(__name__)
 class cg_Crypto:
    """
    Functions for finding crypto info
    """
    vs_currency = "usd"  # simple/supported_vs_currencies for list of options
    trending_cache: List[str] = []
    def __init__(self) -> None:
        self.get_symbol_list()
        schedule.every().day.do(self.get_symbol_list)
    def get(self, endpoint, params: dict = {}, timeout=10) -> dict:
        url = "https://api.coingecko.com/api/v3" + endpoint
        resp = r.get(url, params=params, timeout=timeout)
        # Make sure API returned a proper status code
        try:
            resp.raise_for_status()
        except r.exceptions.HTTPError as e:
            log.error(e)
            return {}
        # Make sure API returned valid JSON
        try:
            resp_json = resp.json()
            return resp_json
        except r.exceptions.JSONDecodeError as e:
            log.error(e)
            return {}
    def symbol_id(self, symbol) -> str:
        try:
            return self.symbol_list[self.symbol_list["symbol"] == symbol]["id"].values[0]
        except KeyError:
            return ""
    def get_symbol_list(self):
        raw_symbols = self.get("/coins/list")
        symbols = pd.DataFrame(data=raw_symbols)
        # Removes all binance-peg symbols
        symbols = symbols[~symbols["id"].str.contains("binance-peg")]
        symbols["description"] = "$$" + symbols["symbol"].str.upper() + ": " + symbols["name"]
        symbols = symbols[["id", "symbol", "name", "description"]]
        symbols["type_id"] = "$$" + symbols["symbol"]
        self.symbol_list = symbols
    def status(self) -> str:
        """Checks CoinGecko /ping endpoint for API issues.
        Returns
        -------
        str
            Human readable text on status of CoinGecko API
        """
        status = r.get(
            "https://api.coingecko.com/api/v3/ping",
            timeout=5,
        )
        try:
            status.raise_for_status()
            return (
                f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds."
            )
        except r.HTTPError:
            return f"CoinGecko API returned an error code {status.status_code} in {status.elapsed.total_seconds()} Seconds."
    def price_reply(self, coin: Coin) -> str:
        """Returns current market price or after hours if its available for a given coin symbol.
        Parameters
        ----------
        symbols : list
            List of coin symbols.
        Returns
        -------
        Dict[str, str]
            Each symbol passed in is a key with its value being a human readable
            markdown formatted string of the symbols price and movement.
        """
        if resp := self.get(
            "/simple/price",
            params={
                "ids": coin.id,
                "vs_currencies": self.vs_currency,
                "include_24hr_change": "true",
            },
        ):
            try:
                data = resp[coin.id]
                price = data[self.vs_currency]
                change = data[self.vs_currency + "_24h_change"]
                if change is None:
                    change = 0
            except KeyError:
                return f"{coin.id} returned an error."
            message = f"The current price of {coin.name} is $**{price:,}**"
            # Determine wording of change text
            if change > 0:
                message += f", the coin is currently **up {change:.3f}%** for today"
            elif change < 0:
                message += f", the coin is currently **down {change:.3f}%** for today"
            else:
                message += ", the coin hasn't shown any movement today."
        else:
            message = f"The price for {coin.name} is not available. If you suspect this is an error run `/status`"
        return message
    def intra_reply(self, symbol: Coin) -> pd.DataFrame:
        """Returns price data for a symbol since the last market open.
        Parameters
        ----------
        symbol : str
            Stock symbol.
        Returns
        -------
        pd.DataFrame
            Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
        """
        if resp := self.get(
            f"/coins/{symbol.id}/ohlc",
            params={"vs_currency": self.vs_currency, "days": 1},
        ):
            df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
            df["Date"] = pd.to_datetime(df["Date"], unit="ms")
            df = df.set_index("Date")
            return df
        return pd.DataFrame()
    def chart_reply(self, symbol: Coin) -> pd.DataFrame:
        """Returns price data for a symbol of the past month up until the previous trading days close.
        Also caches multiple requests made in the same day.
        Parameters
        ----------
        symbol : str
            Stock symbol.
        Returns
        -------
        pd.DataFrame
            Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
        """
        if resp := self.get(
            f"/coins/{symbol.id}/ohlc",
            params={"vs_currency": self.vs_currency, "days": 30},
        ):
            df = pd.DataFrame(resp, columns=["Date", "Open", "High", "Low", "Close"]).dropna()
            df["Date"] = pd.to_datetime(df["Date"], unit="ms")
            df = df.set_index("Date")
            return df
        return pd.DataFrame()
    def stat_reply(self, symbol: Coin) -> str:
        """Gathers key statistics on coin. Mostly just CoinGecko scores.
        Parameters
        ----------
        symbol : Coin
        Returns
        -------
        str
            Preformatted markdown.
        """
        if data := self.get(
            f"/coins/{symbol.id}",
            params={
                "localization": "false",
            },
        ):
            return f"""
                [{data['name']}]({data['links']['homepage'][0]}) Statistics:
                Market Cap: ${data['market_data']['market_cap'][self.vs_currency]:,}
                Market Cap Ranking: {data.get('market_cap_rank',"Not Available")}
                CoinGecko Scores:
                    Overall: {data.get('coingecko_score','Not Available')}
                    Development: {data.get('developer_score','Not Available')}
                    Community: {data.get('community_score','Not Available')}
                    Public Interest: {data.get('public_interest_score','Not Available')}
                    """
        else:
            return f"{symbol.symbol} returned an error."
    def cap_reply(self, coin: Coin) -> str:
        """Gets market cap for Coin
        Parameters
        ----------
        coin : Coin
        Returns
        -------
        str
            Preformatted markdown.
        """
        if resp := self.get(
            "/simple/price",
            params={
                "ids": coin.id,
                "vs_currencies": self.vs_currency,
                "include_market_cap": "true",
            },
        ):
            log.debug(resp)
            try:
                data = resp[coin.id]
                price = data[self.vs_currency]
                cap = data[self.vs_currency + "_market_cap"]
            except KeyError:
                return f"{coin.id} returned an error."
            if cap == 0:
                return f"The market cap for {coin.name} is not available for unknown reasons."
            message = (
                f"The current price of {coin.name} is $**{price:,}** and"
                + " its market cap is $**{cap:,.2f}** {self.vs_currency.upper()}"
            )
        else:
            message = f"The Coin: {coin.name} was not found or returned and error."
        return message
    def info_reply(self, symbol: Coin) -> str:
        """Gets coin description
        Parameters
        ----------
        symbol : Coin
        Returns
        -------
        str
            Preformatted markdown.
        """
        if data := self.get(
            f"/coins/{symbol.id}",
            params={"localization": "false"},
        ):
            try:
                return markdownify(data["description"]["en"])
            except KeyError:
                return f"{symbol} does not have a description available."
        return f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
    def spark_reply(self, symbol: Coin) -> str:
        change = self.get(
            "/simple/price",
            params={
                "ids": symbol.id,
                "vs_currencies": self.vs_currency,
                "include_24hr_change": "true",
            },
        )[symbol.id]["usd_24h_change"]
        return f"`{symbol.tag}`: {symbol.name}, {change:.2f}%"
    def trending(self) -> list[str]:
        """Gets current coins trending on coingecko
        Returns
        -------
        list[str]
            list of $$ID: NAME, CHANGE%
        """
        coins = self.get("/search/trending")
        try:
            trending = []
            for coin in coins["coins"]:
                c = coin["item"]
                sym = c["symbol"].upper()
                name = c["name"]
                change = self.get(
                    "/simple/price",
                    params={
                        "ids": c["id"],
                        "vs_currencies": self.vs_currency,
                        "include_24hr_change": "true",
                    },
                )[c["id"]]["usd_24h_change"]
                msg = f"`$${sym}`: {name}, {change:.2f}%"
                trending.append(msg)
        except Exception as e:
            log.warning(e)
            return self.trending_cache
        self.trending_cache = trending
        return trending
    def batch_price(self, coins: list[Coin]) -> list[str]:
        """Gets price of a list of coins all in one API call
        Parameters
        ----------
        coins : list[Coin]
        Returns
        -------
        list[str]
            returns preformatted list of strings detailing price movement of each coin passed in.
        """
        query = ",".join([c.id for c in coins])
        prices = self.get(
            "/simple/price",
            params={
                "ids": query,
                "vs_currencies": self.vs_currency,
                "include_24hr_change": "true",
            },
        )
        replies = []
        for coin in coins:
            if coin.id in prices:
                p = prices[coin.id]
                if p.get("usd_24h_change") is None:
                    p["usd_24h_change"] = 0
                replies.append(
                    f"{coin.name}: ${p.get('usd',0):,} and has moved {p.get('usd_24h_change',0.0):.2f}% in the past 24 hours."
                )
        return replies
--- a/dev-reqs.txt
+++ b/dev-reqs.txt
@ -0,0 +1,8 @@
 -r requirements.txt
 black==23.3.0
 flake8==5.0.4
 Flake8-pyproject==1.2.3
 pylama==8.4.1
 mypy==1.2.0
 types-cachetools==5.3.0.5
 types-pytz==2023.3.0.0
--- a/functions.py
+++ b/functions.py
@ -1,210 +0,0 @@
 import json
 import re
 from datetime import datetime, timedelta
 import pandas as pd
 import requests as r
 from fuzzywuzzy import fuzz
 import schedule
 class Symbol:
    """
    Functions for finding stock market information about symbols.
    """
    SYMBOL_REGEX = "[$]([a-zA-Z]{1,4})"
    searched_symbols = {}
    help_text = """
 Thanks for using this bot, consider supporting it by [buying me a beer.](https://www.buymeacoffee.com/Anson)
 Full documentation can be found [here.](https://simple-stock-bots.gitlab.io/site/)
 **Commands**
    - /dividend `$[symbol]` will return dividend information for the symbol.
    - /news `$[symbol]` will return news about the symbol.
    - /info `$[symbol]` will return general information about the symbol.
    - /search `query` Takes a search string, whether a company name or ticker and returns a list of companies that are supported by the bot.
 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. 
 `Market data is provided by [IEX Cloud](https://iexcloud.io)`
    """
    def __init__(self, IEX_TOKEN: str):
        self.IEX_TOKEN = IEX_TOKEN
        self.get_symbol_list()
        schedule.every().day.do(self.get_symbol_list)
    def get_symbol_list(self, return_df=False):
        """
        Fetches a list of stock market symbols from FINRA
        Returns:
            pd.DataFrame -- [DataFrame with columns: Symbol | Issue_Name | Primary_Listing_Mkt
            datetime -- The time when the list of symbols was fetched. The Symbol list is updated every open and close of every trading day. 
        """
        raw_symbols = r.get(
            f"https://cloud.iexapis.com/stable/ref-data/symbols?token={self.IEX_TOKEN}"
        ).json()
        symbols = pd.DataFrame(data=raw_symbols)
        symbols["description"] = symbols["symbol"] + ": " + symbols["name"]
        self.symbol_list = symbols
        if return_df:
            return symbols, datetime.now()
    def search_symbols(self, search: str):
        """
        Performs a fuzzy search to find stock symbols closest to a search term.
        Arguments:
            search {str} -- String used to search, could be a company name or something close to the companies stock ticker.
        Returns:
            List of Tuples -- A list tuples of every stock sorted in order of how well they match. Each tuple contains: (Symbol, Issue Name).
        """
        schedule.run_pending()
        search = search.lower()
        try:  # https://stackoverflow.com/a/3845776/8774114
            return self.searched_symbols[search]
        except KeyError:
            pass
        symbols = self.symbol_list
        symbols["Match"] = symbols.apply(
            lambda x: fuzz.ratio(search, f"{x['symbol']}".lower()), axis=1,
        )
        symbols.sort_values(by="Match", ascending=False, inplace=True)
        if symbols["Match"].head().sum() < 300:
            symbols["Match"] = symbols.apply(
                lambda x: fuzz.partial_ratio(search, x["name"].lower()), axis=1,
            )
            symbols.sort_values(by="Match", ascending=False, inplace=True)
        symbols = symbols.head(10)
        symbol_list = list(zip(list(symbols["symbol"]), list(symbols["description"])))
        self.searched_symbols[search] = symbol_list
        return symbol_list
    def find_symbols(self, text: str):
        """
        Finds stock tickers starting with a dollar sign in a blob of text and returns them in a list. Only returns each match once. Example: Whats the price of $tsla? -> ['tsla']
        Arguments:
            text {str} -- Blob of text that might contain tickers with the format: $TICKER
        Returns:
            list -- List of every found match without the dollar sign. 
        """
        return list(set(re.findall(self.SYMBOL_REGEX, text)))
    def price_reply(self, symbols: list):
        """
        Takes a list of symbols and replies with Markdown formatted text about the symbols price change for the day.
        Arguments:
            symbols {list} -- List of stock market symbols.
        Returns:
            dict -- Dictionary with keys of symbols and values of markdown formatted text example: {'tsla': 'The current stock price of Tesla Motors is $**420$$, the stock price is currently **up 42%**}
        """
        dataMessages = {}
        for symbol in symbols:
            IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/quote?token={self.IEX_TOKEN}"
            response = r.get(IEXurl)
            if response.status_code == 200:
                IEXData = response.json()
                message = f"The current stock price of {IEXData['companyName']} is $**{IEXData['latestPrice']}**"
                # Determine wording of change text
                change = round(IEXData["changePercent"] * 100, 2)
                if change > 0:
                    message += f", the stock is currently **up {change}%**"
                elif change < 0:
                    message += f", the stock is currently **down {change}%**"
                else:
                    message += ", the stock hasn't shown any movement today."
            else:
                message = f"The symbol: {symbol} was not found."
            dataMessages[symbol] = message
        return dataMessages
    def dividend_reply(self, symbols: list):
        divMessages = {}
        for symbol in symbols:
            IEXurl = f"https://cloud.iexapis.com/stable/data-points/{symbol}/NEXTDIVIDENDDATE?token={self.IEX_TOKEN}"
            response = r.get(IEXurl)
            if response.status_code == 200:
                # extract date from json
                date = response.json()
                # Pattern IEX uses for dividend date.
                pattern = "%Y-%m-%d"
                divDate = datetime.strptime(date, pattern)
                daysDelta = (divDate - datetime.now()).days
                datePretty = divDate.strftime("%A, %B %w")
                if daysDelta < 0:
                    divMessages[
                        symbol
                    ] = f"{symbol.upper()} dividend was on {datePretty} and a new date hasn't been announced yet."
                elif daysDelta > 0:
                    divMessages[
                        symbol
                    ] = f"{symbol.upper()} dividend is on {datePretty} which is in {daysDelta} Days."
                else:
                    divMessages[symbol] = f"{symbol.upper()} is today."
            else:
                divMessages[
                    symbol
                ] = f"{symbol} either doesn't exist or pays no dividend."
        return divMessages
    def news_reply(self, symbols: list):
        newsMessages = {}
        for symbol in symbols:
            IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/news/last/3?token={self.IEX_TOKEN}"
            response = r.get(IEXurl)
            if response.status_code == 200:
                data = response.json()
                newsMessages[symbol] = f"News for **{symbol.upper()}**:\n"
                for news in data:
                    message = f"\t[{news['headline']}]({news['url']})\n\n"
                    newsMessages[symbol] = newsMessages[symbol] + message
            else:
                newsMessages[
                    symbol
                ] = f"No news found for: {symbol}\nEither today is boring or the symbol does not exist."
        return newsMessages
    def info_reply(self, symbols: list):
        infoMessages = {}
        for symbol in symbols:
            IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/company?token={self.IEX_TOKEN}"
            response = r.get(IEXurl)
            if response.status_code == 200:
                data = response.json()
                infoMessages[
                    symbol
                ] = f"Company Name: [{data['companyName']}]({data['website']})\nIndustry: {data['industry']}\nSector: {data['sector']}\nCEO: {data['CEO']}\nDescription: {data['description']}\n"
            else:
                infoMessages[
                    symbol
                ] = f"No information found for: {symbol}\nEither today is boring or the symbol does not exist."
        return infoMessages
--- a/pyproject.toml
+++ b/pyproject.toml
@ -0,0 +1,8 @@
 [tool.black]
 line-length = 130
 [tool.flake8]
 max-line-length = 130
 [tool.pycodestyle]
 max_line_length = 130
--- a/requirements.txt
+++ b/requirements.txt
@ -1,6 +1,7 @@
-discord.py==1.6
+nextcord==2.4.2
-requests==2.23.0
+requests==2.25.1
-pandas==1.0.3
+pandas==2.0.0
-fuzzywuzzy==0.18.0
+schedule==1.0.0
-python-Levenshtein==0.12.1
+mplfinance==0.12.7a5
-schedule==0.6.0
+markdownify==0.6.5
 cachetools==4.2.2
--- a/symbol_router.py
+++ b/symbol_router.py
@ -0,0 +1,393 @@
 """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 cg_Crypto import cg_Crypto
 from MarketData import MarketData
 from 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 = 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 Crypto:\n`"
            reply += "━" * len("Trending Crypto:") + "`\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"]))
        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
--- a/tests.py
+++ b/tests.py
@ -0,0 +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")
Author	SHA1	Message	Date
Anson Biggs	3d453115fe	Merge branch '23-pull-in-changes-from-telegram-bot' into 'master' Resolve "Pull in changes from Telegram bot" Closes #23 See merge request simple-stock-bots/simple-discord-stock-bot!6	2023-04-16 21:57:33 +00:00
Anson Biggs	c0a6e268a6	Resolve "Pull in changes from Telegram bot"	2023-04-16 21:57:33 +00:00
Anson	eb48ab74c2	updated to newest version of discord and bot files	2022-01-04 21:54:28 -07:00
Anson	342392b604	add devcontainer stuff from telegram bot	2022-01-04 20:54:15 -07:00
Anson	7e05e2dbec	bug fix telegram pr 27	2021-08-15 19:51:38 -07:00
Anson	a7fb09e341	parity with telegram merge request 26	2021-08-15 19:35:31 -07:00
Anson	c6db51a5cc	embracing the devcontainers	2021-08-15 17:48:50 -07:00
Anson	f434fa7c6f	further deprecate /crypto command	2021-08-15 17:39:20 -07:00
Anson	1e64deeff5	/status now returns bot latency	2021-08-15 17:38:53 -07:00
Anson	5e90bf9eab	added logging and small fixes	2021-08-15 17:12:45 -07:00
Anson Biggs	45f0ee0091	Update .gitlab-ci.yml file	2021-08-05 08:33:52 +00:00
Anson Biggs	389ed77883	Update .gitlab-ci.yml file	2021-08-05 08:33:49 +00:00
Anson	282ec27869	added ci	2021-08-05 01:31:34 -07:00
Anson	032be64495	add ci	2021-08-05 01:29:19 -07:00
Anson Biggs	f34ce45549	Merge branch 'telegramparity' into 'master' Bring Discord bot up to date with the Telegram bot See merge request simple-stock-bots/simple-discord-stock-bot!4	2021-08-05 08:24:27 +00:00
Anson	ca33627af0	updated to meet telegram features	2021-08-05 01:18:14 -07:00
Anson	e658bc3af6	small changes	2021-08-04 23:19:13 -07:00
Anson	4fe5547118	moved everything from telegram over	2021-08-04 23:14:51 -07:00
Anson Biggs	78bacf3869	$GME 💎🙌"	2021-02-24 23:26:51 -07:00
Anson Biggs	6e9e98e069	Merge branch 'master' of gitlab.com:simple-stock-bots/simple-discord-stock-bot	2021-02-12 20:55:54 -07:00
Anson Biggs	f54f0cc04e	added typing to commands that take longer	2021-02-12 20:55:50 -07:00
Anson Biggs	77c618aef2	Merge branch 'patch-1' into 'master' Update README.md See merge request simple-stock-bots/simple-discord-stock-bot!3	2021-02-12 05:28:58 +00:00
Anson Biggs	fb13517a7d	leaked an api key and had wrong intents	2021-02-11 22:27:44 -07:00
Anson Biggs	c3735f3945	many small bugfixes	2021-02-11 21:29:58 -07:00
Anson Biggs	5629a294df	lots of small fixes	2021-02-11 21:27:25 -07:00
Anson Biggs	af8f8b7a0a	documentation	2021-02-11 20:49:23 -07:00
Anson Biggs	4b8edfac37	Close #3	2021-02-11 19:40:58 -07:00
Anson Biggs	e2b2a61bb2	Close #8	2021-02-11 19:38:19 -07:00
Anson Biggs	ad0abb07be	Close #9	2021-02-11 19:32:58 -07:00
Anson Biggs	9c37f5360c	#4	2021-02-11 18:25:09 -07:00
Anson Biggs	5f3fcb4074	close #15	2021-02-11 18:16:16 -07:00
Anson Biggs	f225c3b2d1	Close #5	2021-02-11 18:14:20 -07:00
Anson Biggs	58aed131ef	Close #11	2021-02-11 18:13:44 -07:00
Anson Biggs	c7cfd59860	Close #14	2021-02-11 18:13:15 -07:00
Anson Biggs	fe7584dfa3	Close #13	2021-02-11 18:10:35 -07:00
Anson Biggs	10554c6f64	Close #12	2021-02-11 18:09:46 -07:00
Anson Biggs	141abd6f76	Close #10	2021-02-11 18:05:08 -07:00
Anson Biggs	2dbcf97f37	Close #7	2021-02-11 18:02:12 -07:00
Anson Biggs	819343e440	formating and adding rest of commands.	2021-02-11 18:01:55 -07:00
Anson Biggs	9e02d692f4	Close #17 and worked on #3	2021-02-11 16:56:42 -07:00
Joshua Cleek	cd5d09ccf0	Update README.md	2020-06-07 22:09:09 +00:00